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2024

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Cerrado Inglés The purpose of this study was to analyze the association and predictive capacity between the acute:chronic workload ratio (ACWR) and non-contact injuries in a semiprofessional football team. Seventeen football or soccer players from a Spanish Third Division football team participated voluntarily in this study. A prospective longitudinal study was developed during the 2020/2021 season. Twenty-four weeks were analyzed from October to March, including a regenerative microcycle due to the absence of competition during Christmas. Rate of perceived exertion (RPE) and session-rate of perceived exertion (sRPE) were registered for every training and game session. Afterward, acute and chronic workloads were calculated, and ACWR was subsequently derived from them. Furthermore, non-contact injuries were registered during the period mentioned. The main findings were that there is a poor correlation between the ACWR and non-contact injuries (r=0.069 (p<0.05)), and the use of the ACWR by itself is insufficient to predict the occurrence of non-contact injuries in a semiprofessional football team. Consequently, the ACWR is not an useful predictive tool for injuries in semiprofessional football teams. metadata Seco-Serna, Roberto and Lago-Fuentes, Carlos and Barcala Furelos, Martín mail UNSPECIFIED, carlos.lago@uneatlantico.es, martin.barcala@uneatlantico.es (2024) The Acute: Chronic Workload Ratio and Injury Risk in Semiprofessional Football Players. International Journal of Sports Medicine. ISSN 0172-4622

Article Subjects > Physical Education and Sport
Subjects > Psychology
Europe University of Atlantic > Research > Articles and books Abierto Inglés (1) Background: Sport goals, although widely recognised as crucial for motivation and performance in sport, are multifaceted and can be difficult to measure directly. The present research aims to validate the 3 × 2 achievement goals questionnaire of Mascret in Spanish in a population of athletes. (2) Method: By using a latent factor approach, it is possible to identify the underlying dimensions of these goals and to better understand how they are structured. For this purpose, this questionnaire has been translated and compared with the life satisfaction scale. An exploration of the multifaceted nature of sport goals has been carried out using structural equation modelling. A total of 580 athletes (463 males and 216 females, M = 21.5, SD = 2.36) from different sport disciplines and from 12 autonomous communities in Spain participated in the research. (3) Results: The results show that the questionnaire presents a high scale reliability and that all items contribute significantly to the internal consistency of the scale. (4) Conclusions: The adaptation of this scale to the Spanish population of athletes can be a valid and useful tool to measure and understand motivation and goals in the sport context. metadata García-Romero, Cristina and Roldan-Aguilar, Elkin Eduardo and Hurtado-Castaño, Carlos Alberto and Rodríguez-Negro, Josune and Ramos-Álvarez, Oliver mail UNSPECIFIED (2024) Adaptation and Validation of the 3 × 2 Achievement Goals Questionnaire in a Population of Athletes. Behavioral Sciences, 14 (4). p. 350. ISSN 2076-328X

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Extracting knowledge from hybrid data, comprising both categorical and numerical data, poses significant challenges due to the inherent difficulty in preserving information and practical meanings during the conversion process. To address this challenge, hybrid data processing methods, combining complementary rough sets, have emerged as a promising approach for handling uncertainty. However, selecting an appropriate model and effectively utilizing it in data mining requires a thorough qualitative and quantitative comparison of existing hybrid data processing models. This research aims to contribute to the analysis of hybrid data processing models based on neighborhood rough sets by investigating the inherent relationships among these models. We propose a generic neighborhood rough set-based hybrid model specifically designed for processing hybrid data, thereby enhancing the efficacy of the data mining process without resorting to discretization and avoiding information loss or practical meaning degradation in datasets. The proposed scheme dynamically adapts the threshold value for the neighborhood approximation space according to the characteristics of the given datasets, ensuring optimal performance without sacrificing accuracy. To evaluate the effectiveness of the proposed scheme, we develop a testbed tailored for Parkinson’s patients, a domain where hybrid data processing is particularly relevant. The experimental results demonstrate that the proposed scheme consistently outperforms existing schemes in adaptively handling both numerical and categorical data, achieving an impressive accuracy of 95% on the Parkinson’s dataset. Overall, this research contributes to advancing hybrid data processing techniques by providing a robust and adaptive solution that addresses the challenges associated with handling hybrid data, particularly in the context of Parkinson’s disease analysis. metadata Raza, Imran and Jamal, Muhammad Hasan and Qureshi, Rizwan and Shahid, Abdul Karim and Rojas Vistorte, Angel Olider and Samad, Md Abdus and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, angel.rojas@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Adaptive neighborhood rough set model for hybrid data processing: a case study on Parkinson’s disease behavioral analysis. Scientific Reports, 14 (1). ISSN 2045-2322

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production
Cerrado Inglés This article seeks to anticipate AirBnB prices using advanced regression approaches. Extensive data analysis was done on different databases spanning diverse variables such as location, property type, facility, and user level. The database is constructed utilizing robust approaches such as feature augmentation, outlier reduction, and value loss. A number of complex regression models, such as linear regression, decision tree, random forest, gradient regression, are generated on the pre-developed database. The model is improved through hyperparameter adjustment to increase prediction accuracy. A cross-validation approach was employed to examine the performance and resilience of the model. In addition, a feature significance study was undertaken to discover the most significant elements impacting Airbnb prices. The experimental findings suggest that the improved regression approach delivers greater prediction accuracy than the standard model. The results of this study add to Airbnb’s pricing system and can promote improved decision-making for hosts and visitors searching for competitive pricing. metadata Sar, Ayan and Choudhury, Tanupriya and Bajaj, Tridha and Kotecha, Ketan and Garat de Marin, Mirtha Silvana mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, silvana.marin@uneatlantico.es (2024) Airbnb Price Prediction Using Advanced Regression Techniques and Deployment Using Streamlit. Lecture Notes in Networks and Systems, 894. pp. 685-698. ISSN 2367-3370

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Public concern regarding health systems has experienced a rapid surge during the last two years due to the COVID-19 outbreak. Accordingly, medical professionals and health-related institutions reach out to patients and seek feedback to analyze, monitor, and uplift medical services. Such views and perceptions are often shared on social media platforms like Facebook, Instagram, Twitter, etc. Twitter is the most popular and commonly used by the researcher as an online platform for instant access to real-time news, opinions, and discussion. Its trending hashtags (#) and viral content make it an ideal hub for monitoring public opinion on a variety of topics. The tweets are extracted using three hashtags #healthcare, #healthcare services, and #medical facilities. Also, location and tweet sentiment analysis are considered in this study. Several recent studies deployed Twitter datasets using ML and DL models, but the results show lower accuracy. In addition, the studies did not perform extensive comparative analysis and lack validation. This study addresses two research questions: first, what are the sentiments of people toward medical services worldwide? and second, how effective are the machine learning and deep learning approaches for the classification of sentiment on healthcare tweets? Experiments are performed using several well-known machine learning models including support vector machine, logistic regression, Gaussian naive Bayes, extra tree classifier, k nearest neighbor, random forest, decision tree, and AdaBoost. In addition, this study proposes a transfer learning-based LSTM-ETC model that effectively predicts the customer’s satisfaction level from the healthcare dataset. Results indicate that despite the best performance by the ETC model with an 0.88 accuracy score, the proposed model outperforms with a 0.95 accuracy score. Predominantly, the people are happy about the provided medical services as the ratio of the positive sentiments is substantially higher than the negative sentiments. The sentiments, either positive or negative, play a crucial role in making important decisions through customer feedback and enhancing quality. metadata Usman, Muhammad and Mujahid, Muhammad and Rustam, Furqan and Soriano Flores, Emmanuel and Vidal Mazón, Juan Luis and Díez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, emmanuel.soriano@uneatlantico.es, juanluis.vidal@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Analyzing patients satisfaction level for medical services using twitter data. PeerJ Computer Science, 10. e1697. ISSN 2376-5992

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The wheat crop that fulfills 35% of human food demand is facing several problems due to a lack of transparency, security, reliability, and traceability in the existing agriculture supply chain. Many systems have been developed for the agriculture supply chain to overcome such issues, however, monopolistic centralized control is the biggest hurdle to realizing the use of such systems. It has eventually gained consumers’ trust in branded products and rejected other products due to the lack of traceable supply chain information. This study proposes a blockchain-based framework for supply chain traceability which provides trustable, transparent, secure, and reliable services for the wheat crop. A crypto token called wheat coin (WC) has been introduced to keep track of transactions among the stakeholders of the wheat supply chain. Moreover, an initial coin offering (ICO) of WC, crypto wallets, and an economic model are proposed. Furthermore, a smart contract-based transaction system has been devised for the transparency of wheat crop transactions and conversion of WC to fiat and vice versa. We have developed the interplanetary file system (IPFS) to improve data availability, security, and transparency which stores encrypted private data of farmers, businesses, and merchants. Lastly, the results of the experiments show that the proposed framework shows better performance as compared to previous crop supply chain solutions in terms of latency to add-blocks, per-minute transactions, average gas charge for the transaction, and transaction verification time. Performance analysis with Bitcoin and Ethereum shows the superior performance of the proposed system. metadata Alam, Shadab and Farooq, Muhammad Shoaib and Ansari, Zain Khalid and Alvi, Atif and Rustam, Furqan and Díez, Isabel De La Torre and Vidal Mazón, Juan Luis and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2024) Blockchain based transparent and reliable framework for wheat crop supply chain. PLOS ONE, 19 (1). e0295036. ISSN 1932-6203

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books Cerrado Inglés Objective Eating disorders (ED) have recently been studied from a network approach, conceptualising them as a complex system of interconnected variables, while highlighting the role of non-ED symptoms and personality dimensions. This study aims to explore the connections between personality and ED symptoms, identify central nodes, and compare the EDs network to a healthy control network. Methods We employed network analysis to examine the personality-ED symptom connections in 329 individuals with an ED diagnosis and 192 healthy controls. We estimated a regularised partial correlation network and the indices of centrality and bridge centrality to identify the most influential nodes for each group. Network differences between groups were also examined. Results Low Self-Directedness and high Harm avoidance emerged as central bridge nodes, displaying the strongest relationship with ED symptoms. Both networks differed in their global connectivity and structure, although no differences were found in bridge centrality and centrality indices. Conclusions These findings shed light on the role of personality dimensions, such as Self-Directedness and Harm Avoidance in the maintenance of ED psychopathology, supporting the transdiagnostic conceptualisation of ED. This study advances a deeper understanding of the complex interplay between personality dimensions and ED symptoms, offering potential directions for clinical interventions. metadata Ruiz‐Gutiérrez, Jose and Miras‐Aguilar, María del Mar and Rodríguez‐Pérez, Noelia and Ventura, Ludovica and González Gómez, Jana and del Barrio, Andrés Gómez and González‐Blanch, César mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, cesar.gonzalezblanch@uneatlantico.es (2024) Bridging personality dimensions and eating symptoms: A transdiagnostic network approach. European Eating Disorders Review. ISSN 1072-4133

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés The olive oil sector is a fundamental food in the Mediterranean diet. It has been demonstrated that the consumption of extra virgin olive oil (EVOO) with a high content of phenolic compounds is beneficial in the prevention and/or treatment of many diseases. The main objective of this work was to study the relationship between the content of phenolic compounds and the in vitro neuroprotective and anti-inflammatory activity of EVOOs from two PDOs in the province of Granada. To this purpose, the amounts of phenolic compounds were determined by liquid chromatography coupled to mass spectrometry (HPLC–MS) and the inhibitory activity of acetylcholinesterase (AChE) and cyclooxygenase-2 (COX-2) enzymes by spectrophotometric and fluorimetric assays. The main families identified were phenolic alcohols, secoiridoids, lignans, flavonoids, and phenolic acids. The EVOO samples with the highest total concentration of compounds and the highest inhibitory activity belonged to the Picual and Manzanillo varieties. Statistical analysis showed a positive correlation between identified compounds and AChE and COX-2 inhibitory activity, except for lignans. These results confirm EVOO’s compounds possess neuroprotective potential. metadata López-Bascón, María Asunción and Moscoso-Ruiz, Inmaculada and Quirantes-Piné, Rosa and del Pino-García, Raquel and López-Gámez, Gloria and Justicia-Rueda, Andrea and Verardo, Vito and Quiles, José L. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es (2024) Characterization of Phenolic Compounds in Extra Virgin Olive Oil from Granada (Spain) and Evaluation of Its Neuroprotective Action. International Journal of Molecular Sciences, 25 (9). p. 4878. ISSN 1422-0067

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Cerrado Inglés Background: Celiac disease (CD) is a multifactorial, immune-mediated enteropathic disorder that may occur at any age with heterogeneous clinical presentation. In the last years, unusual manifestations have become very frequent, and currently, it is not so uncommon to diagnose CD in subjects with overweight or obesity, especially in adults; however, little is known in the pediatric population. This systematic review aims to evaluate the literature regarding the association between CD and overweight/obesity in school-age children. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed. An electronic database search of articles published in the last 20 years in English was carried out in Web of Sciences, PubMed, and Medline. The quality of the included studies was assessed by using the STrengthening the Reporting of OBservational studies in Epidemiology statement. Results: Of the 1396 articles identified, 9 articles, investigating overweight/obesity in children/adolescents affected by CD or screening CD in children/adolescents with overweight/obesity, met the inclusion criteria. Overall, the results showed that the prevalence of overweight or obesity in school-age children (6–17 years) affected by CD ranged between 3.5% and 20%, highlighting that the coexistence of CD with overweight/obesity in children is not uncommon as previously thought. Conclusion: Although CD has been historically correlated with being underweight due to malabsorption, it should be evaluated also in children with overweight and obesity, especially those who have a familiar predisposition to other autoimmune diseases and/or manifest unusual symptoms of CD. metadata De Giuseppe, Rachele and Bergomas, Francesca and Loperfido, Federica and Giampieri, Francesca and Preatoni, Giorgia and Calcaterra, Valeria and Cena, Hellas mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Could Celiac Disease and Overweight/Obesity Coexist in School-Aged Children and Adolescents? A Systematic Review. Childhood Obesity, 20 (1). pp. 48-67. ISSN 2153-2168

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production
Abierto Inglés Generative intelligence relies heavily on the integration of vision and language. Much of the research has focused on image captioning, which involves describing images with meaningful sentences. Typically, when generating sentences that describe the visual content, a language model and a vision encoder are commonly employed. Because of the incorporation of object areas, properties, multi-modal connections, attentive techniques, and early fusion approaches like bidirectional encoder representations from transformers (BERT), these components have experienced substantial advancements over the years. This research offers a reference to the body of literature, identifies emerging trends in an area that blends computer vision as well as natural language processing in order to maximize their complementary effects, and identifies the most significant technological improvements in architectures employed for image captioning. It also discusses various problem variants and open challenges. This comparison allows for an objective assessment of different techniques, architectures, and training strategies by identifying the most significant technical innovations, and offers valuable insights into the current landscape of image captioning research. metadata Jamil, Azhar and Rehman, Saif Ur and Mahmood, Khalid and Gracia Villar, Mónica and Prola, Thomas and Diez, Isabel De La Torre and Samad, Md Abdus and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es, thomas.prola@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Deep Learning Approaches for Image Captioning: Opportunities, Challenges and Future Potential. IEEE Access. p. 1. ISSN 2169-3536

Article Subjects > Engineering
Subjects > Psychology
Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Predicting depression intensity from microblogs and social media posts has numerous benefits and applications, including predicting early psychological disorders and stress in individuals or the general public. A major challenge in predicting depression using social media posts is that the existing studies do not focus on predicting the intensity of depression in social media texts but rather only perform the binary classification of depression and moreover noisy data makes it difficult to predict the true depression in the social media text. This study intends to begin by collecting relevant Tweets and generating a corpus of 210000 public tweets using Twitter public application programming interfaces (APIs). A strategy is devised to filter out only depression-related tweets by creating a list of relevant hashtags to reduce noise in the corpus. Furthermore, an algorithm is developed to annotate the data into three depression classes: ‘Mild,’ ‘Moderate,’ and ‘Severe,’ based on International Classification of Diseases-10 (ICD-10) depression diagnostic criteria. Different baseline classifiers are applied to the annotated dataset to get a preliminary idea of classification performance on the corpus. Further FastText-based model is applied and fine-tuned with different preprocessing techniques and hyperparameter tuning to produce the tuned model, which significantly increases the depression classification performance to an 84% F1 score and 90% accuracy compared to baselines. Finally, a FastText-based weighted soft voting ensemble (WSVE) is proposed to boost the model’s performance by combining several other classifiers and assigning weights to individual models according to their individual performances. The proposed WSVE outperformed all baselines as well as FastText alone, with an F1 of 89%, 5% higher than FastText alone, and an accuracy of 93%, 3% higher than FastText alone. The proposed model better captures the contextual features of the relatively small sample class and aids in the detection of early depression intensity prediction from tweets with impactful performances. metadata Rizwan, Muhammad and Mushtaq, Muhammad Faheem and Rafiq, Maryam and Mehmood, Arif and Diez, Isabel de la Torre and Gracia Villar, Mónica and Garay, Helena and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es, helena.garay@uneatlantico.es, UNSPECIFIED (2024) Depression Intensity Classification from Tweets Using FastText Based Weighted Soft Voting Ensemble. Computers, Materials & Continua, 78 (2). pp. 2047-2066. ISSN 1546-2226

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés With the outbreak of the COVID-19 pandemic, social isolation and quarantine have become commonplace across the world. IoT health monitoring solutions eliminate the need for regular doctor visits and interactions among patients and medical personnel. Many patients in wards or intensive care units require continuous monitoring of their health. Continuous patient monitoring is a hectic practice in hospitals with limited staff; in a pandemic situation like COVID-19, it becomes much more difficult practice when hospitals are working at full capacity and there is still a risk of medical workers being infected. In this study, we propose an Internet of Things (IoT)-based patient health monitoring system that collects real-time data on important health indicators such as pulse rate, blood oxygen saturation, and body temperature but can be expanded to include more parameters. Our system is comprised of a hardware component that collects and transmits data from sensors to a cloud-based storage system, where it can be accessed and analyzed by healthcare specialists. The ESP-32 microcontroller interfaces with the multiple sensors and wirelessly transmits the collected data to the cloud storage system. A pulse oximeter is utilized in our system to measure blood oxygen saturation and body temperature, as well as a heart rate monitor to measure pulse rate. A web-based interface is also implemented, allowing healthcare practitioners to access and visualize the collected data in real-time, making remote patient monitoring easier. Overall, our IoT-based patient health monitoring system represents a significant advancement in remote patient monitoring, allowing healthcare practitioners to access real-time data on important health metrics and detect potential health issues before they escalate. metadata Islam, Md. Milon and Shafi, Imran and Din, Sadia and Farooq, Siddique and Díez, Isabel de la Torre and Breñosa, Jose and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2024) Design and development of patient health tracking, monitoring and big data storage using Internet of Things and real time cloud computing. PLOS ONE, 19 (3). e0298582. ISSN 1932-6203

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés Retinitis pigmentosa (RP) is a group of genetic retinal disorders characterized by progressive vision loss, culminating in blindness. Identifying pigment signs (PS) linked with RP is crucial for monitoring and possibly slowing the disease’s degenerative course. However, the segmentation and detection of PS are challenging due to the difficulty of distinguishing between PS and blood vessels and the variability in size, shape, and color of PS. Recently, advances in deep learning techniques have shown impressive results in medical image analysis, especially in ophthalmology. This study presents an approach for classifying pigment marks in color fundus images of RP using a modified squeeze-and-excitation ResNet (SE-ResNet) architecture. This variant synergizes the efficiency of residual skip connections with the robust attention mechanism of the SE block to amplify feature representation. The SE-ResNet model was fine-tuned to determine the optimal layer configuration that balances performance metrics and computational costs. We trained the proposed model on the RIPS dataset, which comprises images from patients diagnosed at various RP stages. Experimental results confirm the efficacy of the proposed model in classifying different types of pigment signs associated with RP. The model yielded performance metrics, such as accuracy, sensitivity, specificity, and f-measure of 99.16%, 97.70%, 96.93%, 90.47%, 99.37%, 97.80%, 97.44%, and 90.60% on the testing set, based on GT1 & GT2 respectively. Given its performance, this model is an excellent candidate for integration into computer-aided diagnostic systems for RP, aiming to enhance patient care and vision-related healthcare services. metadata Rashid, Rubina and Aslam, Waqar and Mehmood, Arif and Ramírez-Vargas, Debora L. and Diez, Isabel De La Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, debora.ramirez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED (2024) A Detectability Analysis of Retinitis Pigmetosa Using Novel SE-ResNet Based Deep Learning Model and Color Fundus Images. IEEE Access, 12. pp. 28297-28309. ISSN 2169-3536

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Cerrado Inglés Federated learning is a distributed machine-learning technique that enables multiple devices to learn a shared model while keeping their local data private. The approach poses security challenges, such as model integrity, that must be addressed to ensure the reliability of the learned models. In this context, software-defined networking (SDN) can play a crucial role in improving the security of federated learning systems; indeed, it can provide centralized control and management of network resources, enforcement of security policies, and detection and mitigation of network-level threats. The integration of SDN with federated learning can help achieve a secure and efficient distributed learning environment. In this paper, an architecture is proposed to detect attacks on Federated Learning using SDN; furthermore, the machine learning model is deployed on a number of devices for training. The simulation results are carried out using the N-BaIoT dataset and training models such as Random Forest achieves 99.6%, Decision Tree achieves 99.8%, and K-Nearest Neighbor achieves 99.3% with 20 features. metadata Babbar, Himanshi and Rani, Shalli and Singh, Aman and Gianini, Gabriele mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED (2024) Detecting Cyberattacks to Federated Learning on Software-Defined Networks. Communications in Computer and Information Science, 2022. pp. 120-132. ISSN 1865-0929

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Requirements specifications written in natural language enable us to understand a program’s intended functionality, which we can then translate into operational software. At varying stages of requirement specification, multiple ambiguities emerge. Ambiguities may appear at several levels including the syntactic, semantic, domain, lexical, and pragmatic levels. The primary objective of this study is to identify requirements’ pragmatic ambiguity. Pragmatic ambiguity occurs when the same set of circumstances can be interpreted in multiple ways. It requires consideration of the context statement of the requirements. Prior research has developed methods for obtaining concepts based on individual nodes, so there is room for improvement in the requirements interpretation procedure. This research aims to develop a more effective model for identifying pragmatic ambiguity in requirement definition. To better interpret requirements, we introduced the Concept Maximum Matching (CMM) technique, which extracts concepts based on edges. The CMM technique significantly improves precision because it permits a more accurate interpretation of requirements based on the relative weight of their edges. Obtaining an F-measure score of 0.754 as opposed to 0.563 in existing models, the evaluation results demonstrate that CMM is a substantial improvement over the previous method. metadata Aslam, Khadija and Iqbal, Faiza and Altaf, Ayesha and Hussain, Naveed and Gracia Villar, Mónica and Soriano Flores, Emmanuel and Diez, Isabel De La Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es, emmanuel.soriano@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Detecting Pragmatic Ambiguity in Requirement Specification Using Novel Concept Maximum Matching Approach Based on Graph Network. IEEE Access. p. 1. ISSN 2169-3536

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Cerrado Inglés Background: Arterial stiffness and atherosclerosis are known risk factors for cardiovascular morbidity and mortality. Vegetarian diets have been associated with cardiovascular benefits, including improvements in metabolic parameters. However, the impact of a vegetarian diet on cardiovascular parameters, specifically arterial stiffness and atherosclerosis, in healthy individuals remains unclear. Thus, this study aims to analyze differences in arterial stiffness and atherosclerosis between vegetarian and omnivorous diets in healthy subjects. Methods: A systematic review and meta-analysis were conducted following established guidelines. PubMed, Scopus, Web of Science, and Cochrane Library databases were searched for studies examining the association between vegetarian and omnivorous diets with arterial stiffness and atherosclerosis. Cross-sectional studies reporting carotid to femoral pulse wave velocity (cf-PWv) as a measure of arterial stiffness and carotid intima media thickness (c-IMT) as a measure of atherosclerosis were included. Data were synthesized using random effects models, and sensitivity analyses, meta-regressions, and assessment of publication bias were performed. Results: Ten studies were included in the systematic review, and seven studies were included in the meta-analysis. The pooled analysis demonstrated that individuals following a vegetarian diet had differences in the levels of arterial stiffness (cf-PWv) compared to those following an omnivorous diet (MD: −0.43 m s−1; 95% CI: −0.63, −0.23). Similarly, atherosclerosis (c-IMT) was found to be different in individuals adhering to a vegetarian dietary pattern (MD = −29.86 mm; 95% CI: −58.41, −1.32). Conclusions: Our findings suggest that a vegetarian diet is associated with improved arterial stiffness and reduced atherosclerosis in healthy individuals. These results support the inclusion of a well-balanced vegetarian dietary pattern in the prevention and management of cardiovascular diseases. However, further research is needed to explore the effects of a vegetarian diet on arterial health in diverse populations and to assess long-term cardiovascular outcomes. metadata Saz-Lara, Alicia and Battino, Maurizio and del Saz Lara, Andrea and Cavero-Redondo, Iván and Dávalos, Alberto and López de Las Hazas, María-Carmen and Visioli, Francesco and Lucerón-Lucas-Torres, Maribel and Giampieri, Francesca mail UNSPECIFIED, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es (2024) Differences in carotid to femoral pulse wave velocity and carotid intima media thickness between vegetarian and omnivorous diets in healthy subjects: a systematic review and meta-analysis. Food & Function, 15 (3). pp. 1135-1143. ISSN 2042-6496

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Abierto Inglés The microbiota is in symbiosis with the human body as a holobiont. Infertility conditions affect the female reproductive tract (FRT) and its resident microbiota. However, a disturbance in homeostasis could influence the FRT and other distal body sites, such as the gastrointestinal tract (GIT). We included 21 patients with endometriosis and other infertility-associated diseases with clinical profiles and biological samples from the FRT (endometrium, endometrial fluid, and vagina), and GIT samples (oral and feces). We performed a 16S rRNA analysis of site-specific microbial communities and estimated diversity metrics. The study found body site-specific microbial patterns in the FRT–GIT. In both study groups, Lactobacillus was the most shared Amplicon Sequence Variant (ASV), a precise identifier of microbial sequences, between endometrial and vagina samples. However, shared Gardnerella and Enterobacteriaceae ASVs were linked to other conditions but not endometriosis. Remarkably, Haemophilus was a specific GIT-shared taxon in endometriosis cases. In conclusion, infertility influences distinctly the FRT and GIT microbiomes, with endometriosis showing unique microbial characteristics. We proposed the concept of ‘female holobiont’ as a community that comprises the host and microbes that must maintain overall homeostasis across all body sites to ensure a woman’s health. Insights into these microbial patterns not only advance our understanding of the pathophysiology of infertility but also open new avenues for developing microbe-based therapeutic interventions aimed at restoring microbial balance, thereby enhancing fertility prospects. metadata Marcos, Ana T. and Rus, Maria J. and Areal-Quecuty, Victoria and Simon-Soro, Aurea and Navarro-Pando, José Manuel mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.navarro@uneatlantico.es (2024) Distinct Gastrointestinal and Reproductive Microbial Patterns in Female Holobiont of Infertility. Microorganisms, 12 (5). p. 989. ISSN 2076-2607

Article Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books Cerrado Inglés Technological firms invest in R&D looking for innovative solutions but assuming high costs and great (technological) uncertainty regarding final results and returns. Additionally, they face other problems related to R&D management. This empirical study tries to determine which of the factors favour or constrain the decision of these firms to engage in R&D. The analysis uses financial data of 14,619 ICT listed companies of 22 countries from 2003 to 2018. Additionally, macroeconomic data specific for the countries and the sector were used. For the analysis of dynamic panel data, a System-GMM method is used. Among the findings, we highlight that cash flow, contrary to the known theoretical models and empirical evidences, negatively impacts on R&D investment. Debt is neither the right source for R&D funding, as the effect is also negative. This suggests that ICT companies are forced to manage their R&D activities differently, relying more on other funding sources, taking advantage of growth opportunities and benefiting from a favourable macroeconomic environment in terms of growth and increased business sector spending on R&D. These results are similar in both sub-sectors and in all countries, both bank- and market based. The exception is firms with few growth opportunities and little debt. metadata Alexeeva-Alexeev, Inna and Mazas Pérez-Oleag, Cristina mail inna.alexeeva@uneatlantico.es, cristina.mazas@uneatlantico.es (2024) Do ICT firms manage R&D differently? Firm-level and macroeconomic effects on corporate R&D investment: Empirical evidence from a multi-countries context. Technological Forecasting and Social Change, 198. p. 122970. ISSN 00401625

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Cerrado Inglés In this study, the phytochemical profile of fifty olive leaves (OL) extracts from Spain, Italy, Greece, Portugal, and Morocco was characterized and their anti-cholinergic, anti-inflammatory, and antioxidant activities were evaluated. Luteolin-7-O-glucoside, isoharmnentin, and apigenin were involved in the acetylcholinesterase (AChE) inhibitory activity, while oleuropein and hydroxytyrosol showed noteworthy potential. Secoiridoids contributed to the cyclooxygenase-2 inhibitory activity and antioxidant capacity. Compounds such as oleuropein, ligstroside and luteolin-7-O-glucoside, may exert an important role in the ferric reducing antioxidant capacity. It should be also highlighted the role of hydroxytyrosol, hydroxycoumarins, and verbascoside concerning the antioxidant activity. This research provides valuable insights and confirms that specific compounds within OL extracts contribute to distinct anti-cholinergic, anti-inflammatory, and anti-oxidative effects. metadata Romero-Márquez, Jose M. and Navarro-Hortal, María D. and Forbes-Hernández, Tamara Y. and Varela-López, Alfonso and Puentes, Juan G. and Sánchez-González, Cristina and Sumalla Cano, Sandra and Battino, Maurizio and García-Ruiz, Roberto and Sánchez, Sebastián and Quiles, José L. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, sandra.sumalla@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es (2024) Effect of olive leaf phytochemicals on the anti-acetylcholinesterase, anti-cyclooxygenase-2 and ferric reducing antioxidant capacity. Food Chemistry, 444. p. 138516. ISSN 03088146

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Inglés Futsal is a high intensity team sport with intermittent actions of short duration, so it is necessary to include different training strategies to improve explosive actions. There is a gap in the scientific literature regarding training programs that improve the performance of young futsal players. The aim of this study was to determine the effects of different strength and velocity training programs on lower body physical performance in youth futsal players. Forty-two youth futsal players were divided into control group (CG, n = 14) and a strength intervention group (SG, n = 14), which included a weekly session for 8 weeks of eccentric strength training, plyometrics and core strengthening, and a velocity intervention group (VG, n = 14), which included a weekly session during 8 weeks of training with linear speed exercises and with change of direction, accelerations with resistance bands and core strengthening. SG significantly improved horizontal jump (HJ) (p:0.02), V-CUT (p:0.91) and change of direction deficit (CODD) (p:0.01). VG showed significant improvements in HJ (p:0.01), in 25 m sprint (p:0.01), in total repeated sprint ability time (p:0.01), in V-CUT (p:0.01) and in CODD (p:0.01). SG showed significant intergroup differences (p:0.01) in COD variables with respect to CG and VG. In conclusion, SG and VG showed significant improvements in lower body performance variables in youth futsal players. In addition, the SG has substantial changes in COD compared to the other two groups, so it has a greater effect. metadata Villanueva-Guerrero, Oscar and Lozano, Demetrio and Roso-Moliner, Alberto and Nobari, Hadi and Lago-Fuentes, Carlos and Mainer-Pardos, Elena mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carlos.lago@uneatlantico.es, UNSPECIFIED (2024) Effects of different strength and velocity training programs on physical performance in youth futsal players. Heliyon, 10 (10). e30747. ISSN 24058440

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Cerrado Inglés The aim of this study was to investigate the effects of enzymatic treatments (pectinase, pectin lyase, and cellulase) on the in vitro digestion and fermentation characteristics of whole mulberry fruit juice. The analysis focused on changes in carbohydrate properties within the black mulberry fruit matrix during simulated digestion and fermentation. Human fecal microbiota were collected and introduced to the fruit matrix to monitor the fate of both soluble and insoluble polysaccharides during fermentation. The results revealed that enzymatic treatments enhanced the solubilization of carbohydrates from mulberry fruits, with pectinase showing the most significant effect. Throughout the process of in vitro digestion, there was a gradual increase in the percentage of solubilized carbohydrates from the mulberry juice substrate. The digested suspensions underwent dialysis to remove degradation fragments, and a lower quantity of carbohydrate in the enzyme-treated groups compared to the control. Polysaccharide populations with varying molecular weights (Mw) were obtained from the soluble fractions of mulberry residues for subsequent fermentation. An increase in Mw of soluble polysaccharides was detected by HPSEC during fermentation in certain cases. The gut microbiota demonstrated the ability to convert specific insoluble fractions into soluble components, which were subsequently subjected to microbial utilization. Enzymatic treatments during mulberry juice preparation can potentially positively impact health by influencing gut microbiota and short-chain fatty acid (SCFA) modulations. Enzymes could serve as valuable tools for producing functional fruit and vegetable juices, with the need to specify processing conditions for specific raw materials remaining a subject of further investigation. metadata Luo, Peihuan and Ai, Jian and Wang, Yuxin and Wang, Songen and Schols, Henk A. and Smidt, Hauke and Battino, Maurizio and Bai, Weibin and Tian, Lingmin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Effects of enzymatic treatment on the in vitro digestion and fermentation patterns of mulberry fruit juice: A focus on carbohydrates. Food Hydrocolloids, 146. p. 109223. ISSN 0268005X

Article Subjects > Biomedicine
Subjects > Engineering
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Background and objectives: As microbes are developing resistance to antibiotics, natural, botanical drugs or traditional herbal medicine are presently being studied with an eye of great curiosity and hope. Hence, complementary and alternative treatments for uncomplicated pelvic inflammatory disease (uPID) are explored for their efficacy. Therefore, this study determined the therapeutic efficacy and safety of Sesamum indicum Linn seeds with Rosa damascena Mill Oil in uPID with standard control. Additionally, we analyzed the data with machine learning. Materials and methods: We included 60 participants in a double-blind, double-dummy, randomized standard-controlled study. Participants in the Sesame and Rose oil group (SR group) (n = 30) received 14 days course of black sesame powder (5 gm) mixed with rose oil (10 mL) per vaginum at bedtime once daily plus placebo capsules orally. The standard group (SC), received doxycycline 100 mg twice and metronidazole 400 mg thrice orally plus placebo per vaginum for the same duration. The primary outcome was a clinical cure at post-intervention for visual analogue scale (VAS) for lower abdominal pain (LAP), and McCormack pain scale (McPS) for abdominal-pelvic tenderness. The secondary outcome included white blood cells (WBC) cells in the vaginal wet mount test, safety profile, and health-related quality of life assessed by SF-12. In addition, we used AdaBoost (AB), Naïve Bayes (NB), and Decision Tree (DT) classifiers in this study to analyze the experimental data. Results: The clinical cure for LAP and McPS in the SR vs SC group was 82.85% vs 81.48% and 83.85% vs 81.60% on Day 15 respectively. On Day 15, pus cells less than 10 in the SR vs SC group were 86.6% vs 76.6% respectively. No adverse effects were reported in both groups. The improvement in total SF-12 score on Day 30 for the SR vs SC group was 82.79% vs 80.04% respectively. In addition, our Naive Bayes classifier based on the leave-one-out model achieved the maximum accuracy (68.30%) for the classification of both groups of uPID. Conclusion: We concluded that the SR group is cost-effective, safer, and efficacious for curing uPID. Proposed alternative treatment (test drug) could be a substitute of standard drug used for Female genital tract infections. metadata Sumbul, X. and Sultana, Arshiya and Heyat, Md Belal Bin and Rahman, Khaleequr and Akhtar, Faijan and Parveen, Saba and Briones Urbano, Mercedes and Lipari, Vivian and De la Torre Díez, Isabel and Khan, Azmat Ali and Malik, Abdul mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, mercedes.briones@uneatlantico.es, vivian.lipari@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning. Frontiers in Chemistry, 12. ISSN 2296-2646

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
University of La Romana > Research > Scientific Production
Abierto Inglés Objective: This study aims to determine the efficacy of the Acacia arabica (Lam.) Willd. and Cinnamomum camphora (L.) J. Presl. vaginal suppository in addressing heavy menstrual bleeding (HMB) and their impact on participants' health-related quality of life (HRQoL) analyzed using machine learning algorithms. Method: A total of 62 participants were enrolled in a double-dummy, single-center study. They were randomly assigned to either the suppository group (SG), receiving a formulation prepared with Acacia arabica gum (Gond Babul) and camphor from Cinnamomum camphora (Kafoor) through two vaginal suppositories (each weighing 3,500 mg) for 7 days at bedtime along with oral placebo capsules, or the tranexamic group (TG), receiving oral tranexamic acid (500 mg) twice a day for 5 days and two placebo vaginal suppositories during menstruation at bedtime for three consecutive menstrual cycles. The primary outcome was the pictorial blood loss assessment chart (PBLAC) for HMB, and secondary outcomes included hemoglobin level and SF-36 HRQoL questionnaire scores. Additionally, machine learning algorithms such as k-nearest neighbor (KNN), AdaBoost (AB), naive Bayes (NB), and random forest (RF) classifiers were employed for analysis. Results: In the SG and TG, the mean PBLAC score decreased from 635.322 ± 504.23 to 67.70 ± 22.37 and 512.93 ± 283.57 to 97.96 ± 39.25, respectively, at post-intervention (TF3), demonstrating a statistically significant difference (p < 0.001). A higher percentage of participants in the SG achieved normal menstrual blood loss compared to the TG (93.5% vs 74.2%). The SG showed a considerable improvement in total SF-36 scores (73.56%) compared to the TG (65.65%), with a statistically significant difference (p < 0.001). Additionally, no serious adverse events were reported in either group. Notably, machine learning algorithms, particularly AB and KNN, demonstrated the highest accuracy within cross-validation models for both primary and secondary outcomes. Conclusion: The A. arabica and C. camphora vaginal suppository is effective, cost-effective, and safe in controlling HMB. This botanical vaginal suppository provides a novel and innovative alternative to traditional interventions, demonstrating promise as an effective management approach for HMB. metadata Fazmiya, Mohamed Joonus Aynul and Sultana, Arshiya and Heyat, Md Belal Bin and Parveen, Saba and Rahman, Khaleequr and Akhtar, Faijan and Khan, Azmat Ali and Alanazi, Amer M. and Ahmed, Zaheer and Díez, Isabel de la Torre and Brito Ballester, Julién and Saripalli, Tirumala Santhosh Kumar mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, julien.brito@uneatlantico.es, UNSPECIFIED (2024) Efficacy of a vaginal suppository formulation prepared with Acacia arabica (Lam.) Willd. gum and Cinnamomum camphora (L.) J. Presl. in heavy menstrual bleeding analyzed using a machine learning technique. Frontiers in Pharmacology, 15. ISSN 1663-9812

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Efficient traffic management has become a major concern within the framework of smart city projects. However, the increasing complexity of data exchanges and the growing importance of big data makes this task more challenging. Vehicular ad hoc networks (VANETs) face various challenges, including the management of massive data generated by different entities in their environment. In this context, a proposal is put forth for a real-time anomaly detection system with parallel data processing, thereby speeding up data processing. This approach accurately computes vehicle density for each section at any given time, enabling precise traffic management and the provision of information to vehicles regarding traffic density and the safest route to their destination. Furthermore, a machine learning-based prediction system has been developed to mitigate congestion problems and reduce accident risks. Simulations demonstrate that the proposed solution effectively addresses transportation issues while maintaining low latency and high precision. metadata Driss Laanaoui, My and Lachgar, Mohamed and Mohamed, Hanine and Hamid, Hrimech and Gracia Villar, Santos and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, UNSPECIFIED (2024) Enhancing Urban Traffic Management Through Real-Time Anomaly Detection and Load Balancing. IEEE Access, 12. pp. 63683-63700. ISSN 2169-3536

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books Cerrado Inglés Purpose The study aimed to explore the role of parenthood at first episode of psychosis (FEP) on recovery, with a focus on potential sex differences. Methods Sociodemographic, clinical, and neurocognitive information was considered on 610 FEP patients form the PAFIP cohort (Spain). Baseline and three-year follow-up comparisons were carried out. Chi-square tests and ANCOVA analysis were performed controlling for the effect of age and years of education. Results Men comprised 57.54% of the sample, with only 5.41% having offspring when compared to 36.29% of women. Parenthood was related to shorter duration of untreated illness (DUI) in women with children (12.08 months mothers vs. 27.61 months no mothers), showing mothers better premorbid adjustment as well. Childless men presented the worst premorbid adjustment and the highest cannabis and tobacco consumption rates. Mothers presented better global cognitive function, particularly in attention, motor dexterity and executive function at three-year follow-up. Conclusions Diminished parental rates among FEP men could be suggested as a consequence of a younger age of illness onset. Sex roles in caregiving may explain the potential role of parenthood on premorbid phase, with a better and heathier profile, and a more favorable long-term outcome in women. These characteristics may be relevant when adjusting treatment specific needs in men and women with and without offspring. metadata Díaz-Pons, Alexandre and Soler-Andrés, Marina and Ortiz-García de la Foz, Víctor and Murillo-García, Nancy and Yorca-Ruiz, Angel and Magdaleno Herrero, Rebeca and Castaño-Castaño, Sergio and González-Rodríguez, Alexandre and Setién-Suero, Esther and Ayesa-Arriola, Rosa mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, esther.setien@uneatlantico.es, UNSPECIFIED (2024) Exploring parenthood in first episode of psychosis: the potential role of the offspring in the outcome of women. Archives of Women's Mental Health. ISSN 1434-1816

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books Abierto Inglés In the studies on Prehistoric Graphic Expression, there are recurrent discussions about the tracings generated by different observers of the same motif. Methodological issues concerning the role of archaeological imaging are often implied within those debates. Do the tracings belong to the observational data exposition chapter, or are they part of the interpretative conclusions? How can the current technological scenario help solve these problems? In 2017, we conducted new documentation of the Peña Tu rock shelter, a well-known site with an intriguing post-palaeolithic graphic collection documented on several occasions throughout the twentieth century. Our objective was to provide quantifiable and, if possible, objective documentation of the painted and engraved remnants on the shelter’s surface. To achieve this, we employed two data capture strategies. One strategy focused on analysing the vestiges of paintings using a hyperspectral sensor, while the other centred on the geometric definition of engravings and the rock support, utilising photogrammetric techniques and laser scanning. These approaches presented various parallax challenges. Despite these challenges, our results were highly satisfactory. We resolved uncertainties regarding the formal features of specific designs that had been subject to debate for a long time. Additionally, we discovered previously unpublished areas with traces of paintings. Lastly, we developed a map highlighting recent alterations and deteriorations, providing a valuable tool for assessing the site’s preservation status. In conclusion, by employing advanced technology and comprehensive documentation methods, we significantly contributed to understanding and preserving the prehistoric graphic expressions at the Peña Tu rock shelter. metadata Teira, Luis and Bayarri Cayón, Vicente and Ontañón, Roberto and Castillo, Elena and Arias, Pablo mail UNSPECIFIED, vicente.bayarri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Geometric and radiometric recording of prehistoric graphic expression: the case of Peña Tu (Asturias, Spain). Archaeological and Anthropological Sciences, 16 (2). ISSN 1866-9557

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Much of nutrition research has been conventionally based on the use of simplistic in vitro systems or animal models, which have been extensively employed in an effort to better understand the relationships between diet and complex diseases as well as to evaluate food safety. Although these models have undeniably contributed to increase our mechanistic understanding of basic biological processes, they do not adequately model complex human physiopathological phenomena, creating concerns about the translatability to humans. During the last decade, extraordinary advancement in stem cell culturing, three-dimensional cell cultures, sequencing technologies, and computer science has occurred, which has originated a wealth of novel human-based and more physiologically relevant tools. These tools, also known as “new approach methodologies,” which comprise patient-derived organoids, organs-on-chip, multi-omics approach, along with computational models and analysis, represent innovative and exciting tools to forward nutrition research from a human-biology-oriented perspective. After considering some shortcomings of conventional in vitro and vivo approaches, here we describe the main novel available and emerging tools that are appropriate for designing a more human-relevant nutrition research. Our aim is to encourage discussion on the opportunity to explore innovative paths in nutrition research and to promote a paradigm-change toward a more human biology-focused approach to better understand human nutritional pathophysiology, to evaluate novel food products, and to develop more effective targeted preventive or therapeutic strategies while helping in reducing the number and replacing animals employed in nutrition research. metadata Cassotta, Manuela and Cianciosi, Danila and Elexpuru Zabaleta, Maria and Elío Pascual, Iñaki and Sumalla Cano, Sandra and Giampieri, Francesca and Battino, Maurizio mail manucassotta@gmail.com, UNSPECIFIED, maria.elexpuru@uneatlantico.es, inaki.elio@uneatlantico.es, sandra.sumalla@uneatlantico.es, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es (2024) Human‐based new approach methodologies to accelerate advances in nutrition research. Food Frontiers. pp. 1-32. ISSN 2643-8429

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés Broccoli has gained popularity as a highly consumed vegetable due to its nutritional and health properties. This study aimed to evaluate the composition profile and the antioxidant capacity of a hydrophilic extract derived from broccoli byproducts, as well as its influence on redox biology, Alzheimer’s disease markers, and aging in the Caenorhabditis elegans model. The presence of glucosinolate was observed and antioxidant capacity was demonstrated both in vitro and in vivo. The in vitro acetylcholinesterase inhibitory capacity was quantified, and the treatment ameliorated the amyloid-β- and tau-induced proteotoxicity in transgenic strains via SOD-3 and SKN-1, respectively, and HSP-16.2 for both parameters. Furthermore, a preliminary study on aging indicated that the extract effectively reduced reactive oxygen species levels in aged worms and extended their lifespan. Utilizing broccoli byproducts for nutraceutical or functional foods could manage vegetable processing waste, enhancing productivity and sustainability while providing significant health benefits. metadata Navarro-Hortal, María D. and Romero-Márquez, Jose M. and López-Bascón, M. Asunción and Sánchez-González, Cristina and Xiao, Jianbo and Sumalla Cano, Sandra and Battino, Maurizio and Forbes-Hernande, Tamara Y. and Quiles, José L. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, sandra.sumalla@uneatlantico.es, maurizio.battino@uneatlantico.es, tamara.forbes@unini.edu.mx, jose.quiles@uneatlantico.es (2024) In Vitro and In Vivo Insights into a Broccoli Byproduct as a Healthy Ingredient for the Management of Alzheimer’s Disease and Aging through Redox Biology. Journal of Agricultural and Food Chemistry, 72 (10). pp. 5197-5211. ISSN 0021-8561

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Abierto Inglés Amid growing concerns about antibiotic resistance, innovative strategies are imperative in addressing bacterial infections in aquaculture. Quorum quenching (QQ), the enzymatic inhibition of quorum sensing (QS), has emerged as a promising solution. This study delves into the QQ capabilities of the probiotic strain Bacillus velezensis D-18 and its products, particularly in Vibrio anguillarum 507 communication and biofilm formation. Chromobacterium violaceum MK was used as a biomarker in this study, and the results confirmed that B. velezensis D-18 effectively inhibits QS. Further exploration into the QQ mechanism revealed the presence of lactonase activity by B. velezensis D-18 that degraded both long- and short-chain acyl homoserine lactones (AHLs). PCR analysis demonstrated the presence of a homologous lactonase-producing gene, ytnP, in the genome of B. velezensis D-18. The study evaluated the impact of B. velezensis D-18 on V. anguillarum 507 growth and biofilm formation. The probiotic not only controls the biofilm formation of V. anguillarum but also significantly restrains pathogen growth. Therefore, B. velezensis D-18 demonstrates substantial potential for preventing V. anguillarum diseases in aquaculture through its QQ capacity. The ability to disrupt bacterial communication and control biofilm formation positions B. velezensis D-18 as a promising eco-friendly alternative to conventional antibiotics in managing bacterial diseases in aquaculture. metadata Monzón-Atienza, Luis and Bravo, Jimena and Torrecillas, Silvia and Gómez-Mercader, Antonio and Montero, Daniel and Ramos Vivas, Jose and Galindo-Villegas, Jorge and Acosta, Félix mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.ramos@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) An In-Depth Study on the Inhibition of Quorum Sensing by Bacillus velezensis D-18: Its Significant Impact on Vibrio Biofilm Formation in Aquaculture. Microorganisms, 12 (5). p. 890. ISSN 2076-2607

Article Subjects > Teaching Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The main aim of this study was to analyse the influence of e-learning training on the acquisition of competences in basketball coaches in Cantabria. The current landscape of basketball coach training shows an increasing demand for innovative training models and emerging pedagogies, including e-learning-based methodologies. The study sample consisted of fifty students from these courses, all above 16 years of age (36 males, 14 females). Among them, 16% resided outside the autonomous community of Cantabria, 10% resided more than 50 km from the city of Santander, 36% between 10 and 50 km, 14% less than 10 km, and 24% resided within Santander city. Data were collected through a Google Forms survey distributed by the Cantabrian Basketball Federation to training course students. Participation was voluntary and anonymous. The survey, consisting of 56 questions, was validated by two sports and health doctors and two senior basketball coaches. The collected data were processed and analysed using Microsoft® Excel version 16.74, and the results were expressed in percentages. The analysis revealed that 24.60% of the students trained through the e-learning methodology considered themselves fully qualified as basketball coaches, contrasting with 10.98% of those trained via traditional face-to-face methodology. The results of the study provide insights into important characteristics that can be adjusted and improved within the investigated educational process. Moreover, the study concludes that e-learning training effectively qualifies basketball coaches in Cantabria. metadata Alemany Iturriaga, Josep and Velarde-Sotres, Álvaro and Jorge, Javier and Giglio, Kamil mail josep.alemany@uneatlantico.es, alvaro.velarde@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Influence of E-learning training on the acquisition of competences in basketball coaches in Cantabria. Cogent Education, 11 (1). ISSN 2331-186X

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Abierto Inglés Plasma biomarkers for Alzheimer’s disease (AD) are a promising tool that may help in early diagnosis. However, their levels may be influenced by physiological parameters and comorbidities that should be considered before they can be used at the population level. For this purpose, we assessed the influences of different comorbidities on AD plasma markers in 208 cognitively unimpaired subjects. We analyzed both plasma and cerebrospinal fluid levels of Aβ40, Aβ42, and p-tau181 using the fully automated Lumipulse platform. The relationships between the different plasma markers and physiological variables were studied using linear regression models. The mean differences in plasma markers according to comorbidity groups were also studied. The glomerular filtration rate showed an influence on plasma Aβ40 and Aβ42 levels but not on the Aβ42/Aβ40 ratio. The amyloid ratio was significantly lower in diabetic and hypertensive subjects, and the mean p-tau181 levels were higher in hypertensive subjects. The glomerular filtration rate may have an inverse relationship on plasma Aβ40 and Aβ42 levels but not on the amyloid ratio, suggesting that the latter is a more stable marker to use in the general population. Cardiovascular risk factors might have a long-term effect on the amyloid ratio and plasma levels of p-tau181. metadata Martínez-Dubarbie, Francisco and Guerra-Ruiz, Armando and López-García, Sara and Irure-Ventura, Juan and Lage, Carmen and Fernández-Matarrubia, Marta and Pozueta-Cantudo, Ana and García-Martínez, María and Corrales Pardo, Andrea and Bravo, María and Martín-Arroyo, Juan and Infante, Jon and López-Hoyos, Marcos and García-Unzueta, María Teresa and Sánchez-Juan, Pascual and Rodríguez-Rodríguez, Eloy mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, andrea.corrales@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Influence of Physiological Variables and Comorbidities on Plasma Aβ40, Aβ42, and p-tau181 Levels in Cognitively Unimpaired Individuals. International Journal of Molecular Sciences, 25 (3). p. 1481. ISSN 1422-0067

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés The aim of this work is to develop different encapsulated propolis ingredients by spray-drying and to evaluate their bioaccessibility using simulated in vitro digestion. To achieve these goals, first, microparticles of a propolis extract with inulin as the coating polymer were prepared under the optimal conditions previously determined. Then, a fraction of inulin was replaced with other encapsulating agents, namely sodium alginate, pectin, and chitosan, to obtain different ingredients with controlled release properties in the gastrointestinal tract. The analysis of the phenolic profile in the propolis extract and microparticles showed 58 compounds tentatively identified, belonging mainly to phenolic acid derivatives and flavonoids. Then, the behavior of the free extract and the formulated microparticles under gastrointestinal conditions was studied through an in vitro gastrointestinal digestion process using the INFOGEST protocol. Digestion of the free extract resulted in the degradation of most compounds, which was minimized in the encapsulated formulations. Thus, all developed microparticles could be promising strategies for improving the stability of this bioactive extract under gastrointestinal conditions, thereby enhancing its beneficial effect. metadata Cea-Pavez, Inés and Manteca-Bautista, David and Morillo-Gomar, Alejandro and Quirantes-Piné, Rosa and Quiles, José L. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es (2024) Influence of the Encapsulating Agent on the Bioaccessibility of Phenolic Compounds from Microencapsulated Propolis Extract during "In Vitro" Gastrointestinal Digestion. Foods, 13 (3). p. 425. ISSN 2304-8158

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books Abierto Inglés This paper highlights the fundamental role of integrating different geomatics and geophysical imaging technologies in understanding and preserving cultural heritage, with a focus on the Pavilion of Charles V in Seville (Spain). Using a terrestrial laser scanner, global navigation satellite system, and ground-penetrating radar, we constructed a building information modelling (BIM) system to derive comprehensive decision-making models to preserve this historical asset. These models enable the generation of virtual reconstructions, encompassing not only the building but also its subsurface, distributable as augmented reality or virtual reality online. By leveraging these technologies, the research investigates complex details of the pavilion, capturing its current structure and revealing insights into past soil compositions and potential subsurface structures. This detailed analysis empowers stakeholders to make informed decisions about conservation and management. Furthermore, transparent data sharing fosters collaboration, advancing collective understanding and practices in heritage preservation. metadata Zaragoza, María and Bayarri Cayón, Vicente and García, Francisco mail UNSPECIFIED, vicente.bayarri@uneatlantico.es, UNSPECIFIED (2024) Integrated Building Modelling Using Geomatics and GPR Techniques for Cultural Heritage Preservation: A Case Study of the Charles V Pavilion in Seville (Spain). Journal of Imaging, 10 (6). p. 128. ISSN 2313-433X

Article Subjects > Biomedicine
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production
Abierto Inglés Isoflavones are a group of (poly)phenols, also defined as phytoestrogens, with chemical structures comparable with estrogen, that exert weak estrogenic effects. These phytochemical compounds have been targeted for their proven antioxidant and protective effects. Recognizing the increasing prevalence of cardiovascular diseases (CVD), there is a growing interest in understanding the potential cardiovascular benefits associated with these phytochemical compounds. Gut microbiota may play a key role in mediating the effects of isoflavones on vascular and endothelial functions, as it is directly implicated in isoflavones metabolism. The findings from randomized clinical trials indicate that isoflavone supplementation may exert putative effects on vascular biomarkers among healthy individuals, but not among patients affected by cardiometabolic disorders. These results might be explained by the enzymatic transformation to which isoflavones are subjected by the gut microbiota, suggesting that a diverse composition of the microbiota may determine the diverse bioavailability of these compounds. Specifically, the conversion of isoflavones in equol—a microbiota-derived metabolite—seems to differ between individuals. Further studies are needed to clarify the intricate molecular mechanisms behind these contrasting results. metadata Laudani, Samuele and Godos, Justyna and Romano, Giovanni Luca and Gozzo, Lucia and Di Domenico, Federica Martina and Dominguez Azpíroz, Irma and Martínez Díaz, Raquel and Giampieri, Francesca and Quiles, José L. and Battino, Maurizio and Drago, Filippo and Galvano, Fabio and Grosso, Giuseppe mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, irma.dominguez@unini.edu.mx, raquel.martinez@uneatlantico.es, francesca.giampieri@uneatlantico.es, jose.quiles@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Isoflavones Effects on Vascular and Endothelial Outcomes: How Is the Gut Microbiota Involved? Pharmaceuticals, 17 (2). p. 236. ISSN 1424-8247

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production
Abierto Inglés The prevalence of sleep disorders, characterized by issues with quality, timing, and sleep duration is increasing globally. Among modifiable risk factors, diet quality has been suggested to influence sleep features. The Mediterranean diet is considered a landmark dietary pattern in terms of quality and effects on human health. However, dietary habits characterized by this cultural heritage should also be considered in the context of overall lifestyle behaviors, including sleep habits. This study aimed to systematically revise the literature relating to adherence to the Mediterranean diet and sleep features in observational studies. The systematic review comprised 23 reports describing the relation between adherence to the Mediterranean diet and different sleep features, including sleep quality, sleep duration, daytime sleepiness, and insomnia symptoms. The majority of the included studies were conducted in the Mediterranean basin and reported a significant association between a higher adherence to the Mediterranean diet and a lower likelihood of having poor sleep quality, inadequate sleep duration, excessive daytime sleepiness or symptoms of insomnia. Interestingly, additional studies conducted outside the Mediterranean basin showed a relationship between the adoption of a Mediterranean-type diet and sleep quality, suggesting that biological mechanisms sustaining such an association may exist. In conclusion, current evidence suggests a relationship between adhering to the Mediterranean diet and overall sleep quality and different sleep parameters. The plausible bidirectional association should be further investigated to understand whether the promotion of a healthy diet could be used as a tool to improve sleep quality. metadata Godos, Justyna and Ferri, Raffaele and Lanza, Giuseppe and Caraci, Filippo and Rojas Vistorte, Angel Olider and Yélamos Torres, Vanessa and Grosso, Giuseppe and Castellano, Sabrina mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, angel.rojas@uneatlantico.es, vanessa.yelamos@funiber.org, UNSPECIFIED, UNSPECIFIED (2024) Mediterranean Diet and Sleep Features: A Systematic Review of Current Evidence. Nutrients, 16 (2). p. 282. ISSN 2072-6643

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books Abierto Inglés This paper addresses the conservation problems of the cave of Altamira, a UNESCO World Heritage Site in Santillana del Mar, Cantabria, Spain, due to the effects of moisture and water inside the cave. The study focuses on the description of methods for estimating the trajectory and zones of humidity from the external environment to its eventual dripping on valuable cave paintings. To achieve this objective, several multisensor remote sensing techniques, both aerial and terrestrial, such as 3D laser scanning, a 2D ground penetrating radar, photogrammetry with unmanned aerial vehicles, and high-resolution terrestrial techniques are employed. These tools allow a detailed spatial analysis of the moisture and water in the cave. The paper highlights the importance of the dolomitic layer in the cave and how it influences the preservation of the ceiling, which varies according to its position, whether it is sealed with calcium carbonate, actively dripping, or not dripping. In addition, the crucial role of the central fracture and the areas of direct water infiltration in this process is examined. This research aids in understanding and conserving the site. It offers a novel approach to water-induced deterioration in rock art for professionals and researchers. metadata Bayarri Cayón, Vicente and Prada, Alfredo and García, Francisco and De Las Heras, Carmen and Fatás, Pilar mail vicente.bayarri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) A Multisensory Analysis of the Moisture Course of the Cave of Altamira (Spain): Implications for Its Conservation. Remote Sensing, 16 (1). p. 197. ISSN 2072-4292

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books Abierto Inglés Introduction The aim of this study was to use cluster analysis based on the trajectory of five cognitive-emotional processes (worry, rumination, metacognition, cognitive reappraisal and expressive suppression) over time to explore differences in clinical and performance variables in primary care patients with emotional symptoms. Methods We compared the effect of adding transdiagnostic cognitive-behavioural therapy (TD-CBT) to treatment as usual (TAU) according to cluster membership and sought to determine the variables that predicted cluster membership. 732 participants completed scales about cognitive-emotional processes, anxiety and depressive symptoms, functioning, and quality of life (QoL) at baseline, posttreatment, and at 12 months. Longitudinal cluster analysis and logistic regression analyses were carried out. Results A two-cluster solution was chosen as the best fit, named as “less” or “more” improvement in cognitive-emotional processes. Individuals who achieved more improvement in cognitive-emotional processes showed lower emotional symptoms and better QoL and functioning at all three time points. TAU+TD-CBT, income level, QoL and anxiety symptoms were significant predictors of cluster membership. Conclusions These results underscore the value of adding TD-CBT to reduce maladaptive cognitive-emotional regulation strategies. These findings highlight the importance of the processes of change in therapy and demonstrate the relevance of the patient’s cognitive-emotional profile in improving treatment outcomes. metadata Chen, Mu-Hong and Barrio-Martínez, Sara and Rodriguez-Perez, Noelia and Priede, Amador and Medrano, Leonardo Adrián and Muñoz-Navarro, Roger and Moriana, Juan Antonio and Carpallo-González, María and Prieto-Vila, Maider and Ruiz-Rodríguez, Paloma and Cano-Vindel, Antonio and González-Blanch, César mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, cesar.gonzalezblanch@uneatlantico.es (2024) Patterns of cognitive-emotional change after cognitive-behavioural treatment in emotional disorders: A 12-month longitudinal cluster analysis. PLOS ONE, 19 (5). e0301746. ISSN 1932-6203

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Pneumonia is a potentially life-threatening infectious disease that is typically diagnosed through physical examinations and diagnostic imaging techniques such as chest X-rays, ultrasounds or lung biopsies. Accurate diagnosis is crucial as wrong diagnosis, inadequate treatment or lack of treatment can cause serious consequences for patients and may become fatal. The advancements in deep learning have significantly contributed to aiding medical experts in diagnosing pneumonia by assisting in their decision-making process. By leveraging deep learning models, healthcare professionals can enhance diagnostic accuracy and make informed treatment decisions for patients suspected of having pneumonia. In this study, six deep learning models including CNN, InceptionResNetV2, Xception, VGG16, ResNet50 and EfficientNetV2L are implemented and evaluated. The study also incorporates the Adam optimizer, which effectively adjusts the epoch for all the models. The models are trained on a dataset of 5856 chest X-ray images and show 87.78%, 88.94%, 90.7%, 91.66%, 87.98% and 94.02% accuracy for CNN, InceptionResNetV2, Xception, VGG16, ResNet50 and EfficientNetV2L, respectively. Notably, EfficientNetV2L demonstrates the highest accuracy and proves its robustness for pneumonia detection. These findings highlight the potential of deep learning models in accurately detecting and predicting pneumonia based on chest X-ray images, providing valuable support in clinical decision-making and improving patient treatment. metadata Ali, Mudasir and Shahroz, Mobeen and Akram, Urooj and Mushtaq, Muhammad Faheem and Carvajal-Altamiranda, Stefanía and Aparicio Obregón, Silvia and Díez, Isabel De La Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, stefania.carvajal@uneatlantico.es, silvia.aparicio@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2024) Pneumonia Detection Using Chest Radiographs With Novel EfficientNetV2L Model. IEEE Access, 12. pp. 34691-34707. ISSN 2169-3536

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books Abierto Español The post-pandemic stage covid-19 has revealed overloads, ambiguities, and conflicts of teachers in the performance of new roles in hybrid classrooms that demanded an urgent adaptation, this highlighted the need for priority attention to the mental health of teachers, however, there are still insufficient studies that transcend the diagnosis and are committed to establish proposals for improvement. OBJECTIVE: This study aims to establish a proposal for the promotion of positive mental health (PMH). METHODS: The study was deployed from a qualitative approach; using an ethnomethodological design that allowed studying how teachers create meanings and sense in their work context, an appreciative interview was conducted with an affirmative theme that allowed teachers to expose their experiences that were systematized and processed with ATLAS. ti software. The application of the interview was conducted online through a Google form, during the months of February and March 2023. Three hundred university professors who experienced the pandemic in universities in Brazil, Chile, Colombia, Ecuador, Mexico, and Peru participated, based on a convenience sampling. RESULTS: The results of the deductive phase confirmed Lluch's PMH theoretical framework; however, new nuances or variations have been identified, which must be considered in the complex and dynamic nature of each PMH factor. From there, the results of the inductive phase allowed revealing emerging concepts, that is, new categories that would have the function of improving the PMH factors, which is why they have been denominated: dynamizing nuclei. PMH dynamizing nuclei are adjustment to work environment, soft skills, work-family balance, self-motivation, self-efficacy, subjective well-being, proactive strategies, engagement, resilience. CONCLUSIONS: Finally, with the results of both phases, the creation of an integrated model was generated, which was evaluated by six experts in a round of feedback, who highlighted the relevance of the findings and offered recommendations that were considered in the study. The new integrated model has revealed an interesting association, since it not only legitimizes the PMH's dynamizing cores, but also informs on which specific factor of the PMH these cores have the greatest impact, which has a high guiding value for intervention and improvement based on focused strategies. metadata Deroncele-Acosta, Angel and Rojas Vistorte, Angel Olider and Sartor-Harada, Andresa and Ulloa-Guerra, Oscar and López-Mustelier, Rosendo and Cruzata-Martínez, Alejandro mail UNSPECIFIED, angel.rojas@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Positive mental health of Latin American university professors: A scientific framework for intervention and improvement. Heliyon, 10 (2). e24813. ISSN 24058440

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books Cerrado Inglés The literature indicates that patients with schizophrenia spectrum disorders often show deficits in premorbid adjustment. Additionally, these impairments have been correlated with critical disease parameters, evident in both early and advanced stages. The principal objective of this study was to investigate the association between premorbid adjustment and functional outcomes a decade following the initial episode of psychosis. A cluster analysis was performed to group patients according to their premorbid adjustment scores as assessed with the Premorbid Adjustment Scale (PAS). The measurements of The Disability Assessment Scale (DAS), The Global Assessment of Function (GAF) scale, ​​and The Quality of Life Scale (QLS) were used to compare the functionality of the groups at a 10-year follow-up. A total of 231 patients were classified into three groups based on their premorbid adjustment: “good PAS”, “deteriorating PAS”, and “chronically poor PAS”. The three groups differed significantly in their sociodemographic and cognitive baseline characteristics. At the 10-year follow-up, “good PAS” group had better scores than the other groups in the variables of functionality and quality of life. The relationship found between premorbid adjustment and long-term functional results in patients with psychosis can help us predict the evolution of patients and act accordingly. metadata Setién-Suero, Esther and Ayesa-Arriola, Rosa and Peña, Javier and Ojeda, Natalia and Crespo-Facorro, Benedicto mail esther.setien@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Premorbid adjustment as predictor of long-term functionality: Findings from a 10-year follow-up study in the PAFIP-cohort. Psychiatry Research, 331. p. 115674. ISSN 01651781 (In Press)

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés (1) Background: The increasing life expectancy brings an increase in geriatric syndromes, specifically frailty. The literature shows that exercise is a key to preventing, or even reversing, frailty in community-dwelling populations. The main objective is to demonstrate how an intervention based on multicomponent exercise produces an improvement in frailty and pre-frailty in a community-dwelling population. (2) Methods: a prospective observational study of a multicomponent exercise program for geriatric revitalization with people aged over 65 holding Barthel Index scores equal to, or beyond, 90. The program was developed over 30 weeks, three times a week, in sessions lasting 45–50 min each. Frailty levels were registered by the Short Physical Performance Battery, FRAIL Questionnaire Screening Tool, and Timed “Up & Go” at the beginning of the program, 30 weeks later (at the end of the program), and following 13 weeks without training; (3) Results: 360 participants completed the program; a greater risk of frailty was found before the program started among older women living in urban areas, with a more elevated fat percentage, more baseline pathologies, and wider baseline medication use. Furthermore, heterogeneous results were observed both in training periods and in periods without physical activity. However, they are consistent over time and show improvement after training. They show a good correlation between TUG and SPPB; (4) Conclusions: A thirty-week multicomponent exercise program improves frailty and pre-frailty status in a community-dwelling population with no functional decline. Nevertheless, a lack of homogeneity is evident among the various tools used for measuring frailty over training periods and inactivity periods. metadata Morales-Sánchez, Almudena and Calvo Arenillas, José Ignacio and Gutiérrez Palmero, María José and Martín-Conty, José L. and Polonio-López, Begoña and Dzul Lopez, Luis Alonso and Mordillo-Mateos, Laura and Bernal-Jiménez, Juan José and Conty-Serrano, Rosa and Torres-Falguera, Francisca and Martínez Cano, Alfonso and Durantez-Fernández, Carlos mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, luis.dzul@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) A Prospective Observational Study of Frailty in Geriatric Revitalization Aimed at Community-Dwelling Elderly. Journal of Clinical Medicine, 13 (9). p. 2514. ISSN 2077-0383

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books Abierto Inglés The conservation of Cultural Heritage in cave environments, especially those hosting cave art, requires comprehensive conservation strategies to mitigate degradation risks derived from climatic influences and human activities. This study, focused on the Polychrome Hall of the Cave of Altamira, highlights the importance of integrating remote sensing methodologies to carry out effective conservation actions. By coupling a georeferenced Ground Penetrating Radar (GPR) with a 1.6 GHz central-frequency antenna along with photogrammetry, we conducted non-invasive and high-resolution 3D studies to map preferential moisture pathways from the surface of the ceiling to the first 50 cm internally of the limestone structure. In parallel, we monitored the dynamics of surface water on the Ceiling and its correlation with pigment and other substance migrations. By standardizing our methodology, we aim to increase knowledge about the dynamics of infiltration water, which will enhance our understanding of the deterioration processes affecting cave paintings related to infiltration water. This will enable us to improve conservation strategies, suggesting possible indirect measures to reverse active deterioration processes. Integrating remote sensing techniques with geospatial analysis will aid in the validation and calibration of collected data, allowing for stronger interpretations of subsurface structures and conditions. All of this puts us in a position to contribute to the development of effective conservation methodologies, reduce alteration risks, and promote sustainable development practices, thus emphasizing the importance of remote sensing in safeguarding Cultural Heritage. metadata Bayarri Cayón, Vicente and Prada, Alfredo and García, Francisco and De Las Heras, Carmen and Fatás, Pilar mail vicente.bayarri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Remote Sensing and Environmental Monitoring Analysis of Pigment Migrations in Cave of Altamira’s Prehistoric Paintings. Remote Sensing, 16 (12). p. 2099. ISSN 2072-4292

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production
Abierto Inglés Cardiovascular diseases are among the leading causes of mortality worldwide, with dietary factors being the main risk contributors. Diets rich in bioactive compounds, such as (poly)phenols, have been shown to potentially exert positive effects on vascular health. Among them, resveratrol has gained particular attention due to its potential antioxidant and anti-inflammatory action. Nevertheless, the results in humans are conflicting possibly due to interindividual different responses. The gut microbiota, a complex microbial community that inhabits the gastrointestinal tract, has been called out as potentially responsible for modulating the biological activities of phenolic metabolites in humans. The present review aims to summarize the main findings from clinical trials on the effects of resveratrol interventions on endothelial and vascular outcomes and review potential mechanisms interesting the role of gut microbiota on the metabolism of this molecule and its cardioprotective metabolites. The findings from randomized controlled trials show contrasting results on the effects of resveratrol supplementation and vascular biomarkers without dose-dependent effect. In particular, studies in which resveratrol was integrated using food sources, i.e., red wine, reported significant effects although the resveratrol content was, on average, much lower compared to tablet supplementation, while other studies with often extreme resveratrol supplementation resulted in null findings. The results from experimental studies suggest that resveratrol exerts cardioprotective effects through the modulation of various antioxidant, anti-inflammatory, and anti-hypertensive pathways, and microbiota composition. Recent studies on resveratrol-derived metabolites, such as piceatannol, have demonstrated its effects on biomarkers of vascular health. Moreover, resveratrol itself has been shown to improve the gut microbiota composition toward an anti-inflammatory profile. Considering the contrasting findings from clinical studies, future research exploring the bidirectional link between resveratrol metabolism and gut microbiota as well as the mediating effect of gut microbiota in resveratrol effect on cardiovascular health is warranted. metadata Godos, Justyna and Romano, Giovanni Luca and Gozzo, Lucia and Laudani, Samuele and Paladino, Nadia and Dominguez Azpíroz, Irma and Martínez López, Nohora Milena and Giampieri, Francesca and Quiles, José L. and Battino, Maurizio and Galvano, Fabio and Drago, Filippo and Grosso, Giuseppe mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, irma.dominguez@unini.edu.mx, nohora.martinez@uneatlantico.es, francesca.giampieri@uneatlantico.es, jose.quiles@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Resveratrol and vascular health: evidence from clinical studies and mechanisms of actions related to its metabolites produced by gut microbiota. Frontiers in Pharmacology, 15. ISSN 1663-9812

Article Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books Abierto Inglés Introduction: Osteopathy was originally introduced in rural America in 1874 as a comprehensive therapeutic approach aimed at promoting health. This approach was distinct and often conflicting with conventional/allopathic therapeutic methods available at that time to fight disease. We argue that, in struggling to achieve recognition within the American healthcare system and within the educational academic field that was about to be structured, the American osteopathic profession tried to protect itself from the charges of sectarism by starting to embrace principles of the biomedical paradigm. Methods: A comparative and historiographic review of the second version of the autobiography of AT Still (1908), the founder of osteopathy, against the first (1897) was chosen as an example of the adaptation of the American osteopathic profession to its evolving academic environment. Results: Although there were only a few substantial variations, we argue that they aimed to dampen the non-biological components of osteopathy, namely, its philosophical, spiritual, religious, emotional, and Native American roots, in an effort to gain respect and recognition within the emerging gold standard of the Western medical system. The shift towards a distinct, fully integrated profession within regulated Western healthcare systems was perceived by many professionals as a threat to AT Still’s original ideas, and the trend started when he was alive. Conclusion: Our findings suggest that a crucial conversation regarding the future of the professional identity must take place within the osteopathic community. metadata Tuscano, Silvia Clara and Haxton, Jason and Ciardo, Antonio and Ciullo, Luigi and Zegarra-Parodi, Rafael mail UNSPECIFIED (2024) The Revisions of the First Autobiography of AT Still, the Founder of Osteopathy, as a Step towards Integration in the American Healthcare System: A Comparative and Historiographic Review. Healthcare, 12 (2). p. 130. ISSN 2227-9032

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production
Abierto Inglés The purpose of the study is to assess the risk of developing general eating disorders (ED), anorexia nervosa (AN), and bulimia nervosa (BN), as well as to examine the effects of gender, academic year, place of residence, faculty, and diet quality on that risk. Over two academic years, 129 first- and fourth-year Uneatlántico students were included in an observational descriptive study. The self-administered tests SCOFF, EAT-26, and BITE were used to determine the participants’ risk of developing ED. The degree of adherence to the Mediterranean diet (MD) was used to evaluate the quality of the diet. Data were collected at the beginning (T1) and at the end (T2) of the academic year. The main results were that at T1, 34.9% of participants were at risk of developing general ED, AN 3.9%, and BN 16.3%. At T2, these percentages were 37.2%, 14.7%, and 8.5%, respectively. At T2, the frequency of general ED in the female group was 2.5 times higher (OR: 2.55, 95% CI: 1.22–5.32, p = 0.012). The low-moderate adherence to the MD students’ group was 0.92 times less frequent than general ED at T2 (OR: 0.921, 95%CI: 0.385–2.20, p < 0.001). The most significant risk factor for developing ED is being a female in the first year of university. Moreover, it appears that the likelihood of developing ED generally increases during the academic year. metadata Eguren García, Imanol and Sumalla Cano, Sandra and Conde González, Sandra and Vila-Martí, Anna and Briones Urbano, Mercedes and Martínez Díaz, Raquel and Elío Pascual, Iñaki mail imanol.eguren@uneatlantico.es, sandra.sumalla@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, mercedes.briones@uneatlantico.es, raquel.martinez@uneatlantico.es, inaki.elio@uneatlantico.es (2024) Risk Factors for Eating Disorders in University Students: The RUNEAT Study. Healthcare, 12 (9). p. 942. ISSN 2227-9032

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés Over the last decades, the Mediterranean diet gained enormous scientific, social, and commercial attention due to proven positive effects on health and undeniable taste that facilitated a widespread popularity. Researchers have investigated the role of Mediterranean-type dietary patterns on human health all around the world, reporting consistent findings concerning its benefits. However, what does truly define the Mediterranean diet? The myriad of dietary scores synthesizes the nutritional content of a Mediterranean-type diet, but a variety of aspects are generally unexplored when studying the adherence to this dietary pattern. Among dietary factors, the main characteristics of the Mediterranean diet, such as consumption of fruit and vegetables, olive oil, and cereals should be accompanied by other underrated features, such as the following: (i) specific reference to whole-grain consumption; (ii) considering the consumption of legumes, nuts, seeds, herbs and spices often untested when exploring the adherence to the Mediterranean diet; (iii) consumption of eggs and dairy products as common foods consumed in the Mediterranean region (irrespectively of the modern demonization of dietary fat intake). Another main feature of the Mediterranean diet includes (red) wine consumption, but more general patterns of alcohol intake are generally unmeasured, lacking specificity concerning the drinking occasion and intensity (i.e., alcohol drinking during meals). Among other underrated aspects, cooking methods are rather simple and yet extremely varied. Several underrated aspects are related to the quality of food consumed when the Mediterranean diet was first investigated: foods are locally produced, minimally processed, and preserved with more natural methods (i.e., fermentation), strongly connected with the territory with limited and controlled impact on the environment. Dietary habits are also associated with lifestyle behaviors, such as sleeping patterns, and social and cultural values, favoring commensality and frugality. In conclusion, it is rather reductive to consider the Mediterranean diet as just a pattern of food groups to be consumed decontextualized from the social and geographical background of Mediterranean culture. While the methodologies to study the Mediterranean diet have demonstrated to be useful up to date, a more holistic approach should be considered in future studies by considering the aforementioned underrated features and values to be potentially applied globally through the concept of a “Planeterranean” diet. metadata Godos, Justyna and Scazzina, Francesca and Paternò Castello, Corrado and Giampieri, Francesca and Quiles, José L. and Briones Urbano, Mercedes and Battino, Maurizio and Galvano, Fabio and Iacoviello, Licia and de Gaetano, Giovanni and Bonaccio, Marialaura and Grosso, Giuseppe mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, jose.quiles@uneatlantico.es, mercedes.briones@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) Underrated aspects of a true Mediterranean diet: understanding traditional features for worldwide application of a “Planeterranean” diet. Journal of Translational Medicine, 22 (1). ISSN 1479-5876

Article Subjects > Comunication Europe University of Atlantic > Research > Articles and books Abierto Inglés The current media ecosystem, marked by immediacy and social networks dynamics, has created a fertile field for disinformation. Faced with its exponential growth, since 2014, research has focused on combating false content in the media. From a descriptive approach, this study has analyzed 200 documents on fact-checking and fake news published between 2014 and 2022 in scientific journals indexed in Scopus. This study has found that Europe and the United States are leading the way in the number of journals and authors publishing on the subject. The United States universities are the ones that host the most significant number of authors working on fact-checking, while the methodologies used, mostly ad hoc due to the novelty of the topic, allow to reflect on the need to promote work focused on the design, testing, and evaluation of prototypes or real experiences within the field. The most common contributions analyzed include typologies of false content and media manipulation mechanisms, models for evaluating and detecting disinformation, proposals to combat false content and strengthen verification mechanisms, studies on the role of social media in the spread of disinformation, efforts to develop media literacy among the public and journalists, case studies of fact-checkers, identification of factors that influence the belief in fake news, and analysis of the relationship between disinformation, verification, politics, and democracy. It is concluded that it is essential to develop research that connects the academy with the industry to raise awareness of the need to address these issues among the different actors in the media scenario. metadata Tejedor, Santiago and Romero-Rodríguez, Luis M. and Gracia Villar, Mónica mail UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es (2024) Unveiling the truth: A systematic review of fact-checking and fake news research in social sciences. Online Journal of Communication and Media Technologies, 14 (2). e202427. ISSN 1986-3497

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Magazines
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Named Entity Recognition (NER) is a natural language processing task that has been widely explored for different languages in the recent decade but is still an under-researched area for the Urdu language due to its rich morphology and language complexities. Existing state-of-the-art studies on Urdu NER use various deep-learning approaches through automatic feature selection using word embeddings. This paper presents a deep learning approach for Urdu NER that harnesses FastText and Floret word embeddings to capture the contextual information of words by considering the surrounding context of words for improved feature extraction. The pre-trained FastText and Floret word embeddings are publicly available for Urdu language which are utilized to generate feature vectors of four benchmark Urdu language datasets. These features are then used as input to train various combinations of Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), Gated Recurrent Unit (GRU), CRF, and deep learning models. The results show that our proposed approach significantly outperforms existing state-of-the-art studies on Urdu NER, achieving an F-score of up to 0.98 when using BiLSTM+GRU with Floret embeddings. Error analysis shows a low classification error rate ranging from 1.24% to 3.63% across various datasets showing the robustness of the proposed approach. The performance comparison shows that the proposed approach significantly outperforms similar existing studies. metadata Khan, Hikmat Ullah and Anam, Rimsha and Anwar, Muhammad Waqas and Jamal, Muhammad Hasan and Bajwa, Usama Ijaz and Diez, Isabel de la Torre and Silva Alvarado, Eduardo René and Soriano Flores, Emmanuel and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, eduardo.silva@funiber.org, emmanuel.soriano@uneatlantico.es, UNSPECIFIED (2024) A deep learning approach for Named Entity Recognition in Urdu language. PLOS ONE, 19 (3). e0300725. ISSN 1932-6203

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Inglés Aim The main objective of the study was to report the changes that have taken place in the practice of physical exercise during confinement and to examine the factors that favor or detract from it. Material and methods To determine the objective, a survey was carried out in the United States during the pandemic and a sample of 511 participants was obtained. A binary logit model was used to process the data, as well as several independence tests. Results The main result of this study is the increase in the practice of physical activity of the individuals surveyed during the pandemic. Some of the elements that most influenced this increase were annual family income, education level, and eating habits, but these results are subject to change depending on the respondent’s body mass index. On the other hand, the results also show changes in physical exercise habits during the pandemic, especially in the time of the week when it is performed, and these changes are highly correlated with the use of electronic devices, hours of sleep, and physical condition of the respondents before the pandemic. Conclusion Determining the different factors that affect the practice of physical exercise during pandemic periods seems to be important to determine in which populations it is more important to act or what resources are necessary when implementing physical exercise programs in specific situations such as pandemics. metadata Pulgar, Susana and Mazas Pérez-Oleaga, Cristina and Kaviani, Sepideh and Butts-Wilmsmeyer, Carolyn and Fernandez-del-Valle, Maria mail susana.pulgar@uneatlantico.es, cristina.mazas@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2024) An empirical analysis of factors determining changes in physical exercise during the COVID-19 pandemic. Journal of Public Health. ISSN 2198-1833

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books Cerrado Inglés Introduction Aggressive behaviour on the road is still one of the most studied constructs within human factor due to its strong relationship with crash-related events. Objective The aim of the current research was to analyse the relationship among vital stress, emotion dysregulation, and aggressive behaviour in this specific context. Method A sample composed of 410 Spanish drivers (62.8% female, Mage = 36.12, SDage = 12.99) taken from the general population was tested. Results The results showed positive and significant bivariate correlations among almost all of the variables. The multiple mediation model showed a partial mediation effect of emotion dysregulation, with a significant effect on the whole model, and more specifically, on both the lack of control and life interference. Conclusion The relevance of developing clinical interventions to improve emotion regulation abilities in aggressive drivers is discussed. metadata Herrero-Fernández, David and Parada-Fernández, Pamela and Rodríguez-Arcos, Irene and Brito Ballester, Julién and Rodríguez Velasco, Carmen Lilí mail david.herrero@uneatlantico.es, pamela.parada@uneatlantico.es, UNSPECIFIED, julien.brito@uneatlantico.es, carmen.rodriguez@uneatlantico.es (2024) The mediation effect of emotion dysregulation in the relationship between stress and aggression on the road. European Review of Applied Psychology, 74 (4). p. 100980. ISSN 11629088

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés Air-writing is a widely used technique for writing arbitrary characters or numbers in the air. In this study, a data collection technique was developed to collect hand motion data for Bengali air-writing, and a motion sensor-based data set was prepared. The feature set as then utilized to determine the most effective machine learning (ML) model among the existing well-known supervised machine learning models to classify Bengali characters from air-written data. Our results showed that medium Gaussian SVM had the highest accuracy (96.5%) in the classification of Bengali character from air writing data. In addition, the proposed system achieved over 81% accuracy in real-time classification. The comparison with other studies showed that the existing supervised ML models predicted the created data set more accurately than many other models that have been suggested for other languages. metadata Kader, Mohammed Abdul and Ullah, Muhammad Ahsan and Islam, Md Saiful and Ferriol Sánchez, Fermín and Samad, Md Abdus and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, fermin.ferriol@unini.edu.mx, UNSPECIFIED, UNSPECIFIED (2024) A real-time air-writing model to recognize Bengali characters. AIMS Mathematics, 9 (3). pp. 6668-6698. ISSN 2473-6988

2023

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Abierto Inglés Background The exposure of breast cancer to extremely low frequency magnetic fields (ELF-MFs) results in various biological responses. Some studies have suggested a possible cancer-enhancing effect, while others showed a possible therapeutic role. This study investigated the effects of in vitro exposure to 50 Hz ELF-MF for up to 24 h on the viability and cellular response of MDA-MB-231 and MCF-7 breast cancer cell lines and MCF-10A breast cell line. Methods and results The breast cell lines were exposed to 50 Hz ELF-MF at flux densities of 0.1 mT and 1.0 mT and were examined 96 h after the beginning of ELF-MF exposure. The duration of 50 Hz ELF-MF exposure influenced the cell viability and proliferation of both the tumor and nontumorigenic breast cell lines. In particular, short-term exposure (4–8 h, 0.1 mT and 1.0 mT) led to an increase in viability in breast cancer cells, while long and high exposure (24 h, 1.0 mT) led to a decrease in viability and proliferation in all cell lines. Cancer and normal breast cells exhibited different responses to ELF-MF. Mitochondrial membrane potential and reactive oxygen species (ROS) production were altered after ELF-MF exposure, suggesting that the mitochondria are a probable target of ELF-MF in breast cells. Conclusions The viability of breast cells in vitro is influenced by ELF-MF exposure at magnetic flux densities compatible with the limits for the general population and for workplace exposures. The effects are apparent after 96 h and are related to the ELF-MF exposure time. metadata Elexpuru Zabaleta, Maria and Lazzarini, Raffaella and Tartaglione, Maria Fiorella and Piva, Francesco and Ciarapica, Veronica and Marinelli Busilacchi, Elena and Poloni, Antonella and Valentino, Matteo and Santarelli, Lory and Bracci, Massimo mail maria.elexpuru@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) A 50 Hz magnetic field influences the viability of breast cancer cells 96 h after exposure. Molecular Biology Reports. ISSN 0301-4851

Article Subjects > Biomedicine
Subjects > Psychology
Europe University of Atlantic > Research > Articles and books Abierto Inglés Background The arrival of new disease-modifying treatments for Alzheimer’s disease (AD) requires the identification of subjects at risk in a simple, inexpensive, and non-invasive way. With tools allowing an adequate screening, it would be possible to optimize the use of these treatments. Plasma markers of AD are very promising, but it is necessary to prove that alterations in their levels are related to alterations in gold standard markers such as cerebrospinal fluid or PET imaging. With this research, we want to evaluate the performance of plasma Aβ40, Aβ42, and p-tau181 to detect the pathological changes in CSF using the automated Lumipulse platform. Methods Both plasma and CSF Aβ40, Aβ42, and p-tau181 have been evaluated in a group of 208 cognitively unimpaired subjects with a 30.3% of ApoE4 carriers. We have correlated plasma and CSF values of each biomarker. Then, we have also assessed the differences in plasma marker values according to amyloid status (A − / +), AD status (considering AD + subjects to those A + plus Tau +), and ATN group defined by CSF. Finally, ROC curves have been performed, and the area under the curve has been measured using amyloid status and AD status as an outcome and different combinations of plasma markers as predictors. Results Aβ42, amyloid ratio, p-tau181, and p-tau181/Aβ42 ratio correlated significantly between plasma and CSF. For these markers, the levels were significantly different in the A + / − , AD + / − , and ATN groups. Amyloid ratio predicts amyloid and AD pathology in CSF with an AUC of 0.89. Conclusions Plasma biomarkers of AD using the automated Lumipulse platform show good diagnostic performance in detecting Alzheimer’s pathology in cognitively unimpaired subjects. metadata Martínez-Dubarbie, Francisco and Guerra-Ruiz, Armando and López-García, Sara and Lage, Carmen and Fernández-Matarrubia, Marta and Infante, Jon and Pozueta-Cantudo, Ana and García-Martínez, María and Corrales Pardo, Andrea and Bravo, María and López-Hoyos, Marcos and Irure-Ventura, Juan and Sánchez-Juan, Pascual and García-Unzueta, María Teresa and Rodríguez-Rodríguez, Eloy mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, andrea.corrales@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Accuracy of plasma Aβ40, Aβ42, and p-tau181 to detect CSF Alzheimer’s pathological changes in cognitively unimpaired subjects using the Lumipulse automated platform. Alzheimer's Research & Therapy, 15 (1). ISSN 1758-9193

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Español La población mundial envejece de forma progresiva, necesitando conocer las necesidades de las personas mayores para mejorar sus niveles de calidad de vida, en especial, a través del ejercicio físico. Actualmente, se desconocen los niveles reales de ejercicio físico en esta población, así como los niveles de calidad de vida y dependencia en muchas regiones mundiales. Por ello, el objetivo principal fue analizar los niveles de práctica de actividad física del adulto mayor, así como la asociación del ejercicio en su calidad de vida. Para ello, 344 adultos mayores de la Ciudad Autónoma de Buenos Aires (Argentina) respondieron a un cuestionario ad-hoc elaborado por un Comité de expertos y basados en herramientas validadas sobre ejercicio físico, dependencia y calidad de vida. Los principales hallazgos fueron que un 34.6% de la población no realiza actividad física semanalmente, gran parte de la población mostró tener alto nivel de independencia y se encontró asociación positiva entre las personas más activas y los mayores niveles de calidad de vida. Según estos resultados, se deben diseñar y aplicar nuevas estrategias de ejercicio físico comunitario para aumentar los niveles de calidad de vida e independencia incrementando el volumen y frecuencia de ejercicio físico en personas mayores, especialmente realizado de forma colectiva. metadata Vázquez, Luciano Ángel and Patón, Rubén Navarro and Álvarez, Oliver Ramos and Mecías-Calvo, Marcos and Lago-Fuentes, Carlos mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, marcos.mecias@uneatlantico.es, carlos.lago@uneatlantico.es (2023) Actividad física y calidad de vida de adultos mayores en Argentina: un estudio transversal (Physical activity and quality of life in Argentinian older adults: a cross-sectional study). Retos, 48. pp. 86-93. ISSN 1579-1726

Article Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books Abierto Español Los cuentos se ambientan en un trasfondo cristiano con el fin de provocar cierta catarsis a través de los contextos que plantean: por un lado, una pequeña niña enferma que se halla postrada en la cama y, por otro, una madre que llora la pérdida prematura de su joven hija.A través de estos cuentos, Stifter retrata diferentes actitudes propias de la naturaleza humana ante las dificultades terrenales. En «La Misericordia» se puede identificar la reacción infantil de una niña, agobiada por haber pecado y recelosa de Dios y de su virtud del perdón; asimismo, en «Muerte de una joven», se manifiesta el desgarro de una madre por la pérdida de un ser querido y la falta de esperanza en la vida eterna, consecuencia de la obnubilación tras haberse dejado dominar por el dolor.Igualmente, la actitud de Dios se evidencia en ambos cuentos por medio de sus actos: en el primero, se demuestra cómo Dios escucha y cuida de todos, además del hecho de que, para Él, la persona vale por encima de todo, ya que perdona a la niña sus pecados y la sana de su enfermedad. Del mismo modo, en el segundo cuento, Dios explica a través del ángel la necesidad de tener esperanza en la vida eterna, pues se lleva a cada alma en el momento en el que la encuentra más madura y la bendice con la vida eterna, libre de los castigos y sufrimientos propios del mundo terrenal. Por tanto, en el cuento se concibe la muerte como un acto de misericordia de Dios, pues «después de morir, recibe en su alma inmortal su retribución eterna». (Catecismo de la Iglesia Católica, art. 12: 1021). Por último, cabe destacar que, mediante el retrato de dichas actitudes, Stifter describe el mundo ideal en el que muestra cuáles serían las actitudes esperadas ante estas situaciones y lo contrasta con su vida personal llena de frustración ya que, como se señaló anteriormente él, a diferencia de los cuentos, no tuvo un final feliz. metadata Quijano-Peña, Paula mail paula.quijano@uneatlantico.es (2023) Adalbert STIFTER, «La misericordia» y «Muerte de una joven». Hermēneus. Revista de traducción e interpretación (24). pp. 633-641. ISSN 2530-609X

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Adaptive equalization is crucial in mitigating distortions and compensating for frequency response variations in communication systems. It aims to enhance signal quality by adjusting the characteristics of the received signal. Particle swarm optimization (PSO) algorithms have shown promise in optimizing the tap weights of the equalizer. However, there is a need to enhance the optimization capabilities of PSO further to improve the equalization performance. This paper provides a comprehensive study of the issues and challenges of adaptive filtering by comparing different variants of PSO and analyzing the performance by combining PSO with other optimization algorithms to achieve better convergence, accuracy, and adaptability. Traditional PSO algorithms often suffer from high computational complexity and slow convergence rates, limiting their effectiveness in solving complex optimization problems. To address these limitations, this paper proposes a set of techniques aimed at reducing the complexity and accelerating the convergence of PSO. metadata Khan, Arooj and Shafi, Imran and Khawaja, Sajid Gul and de la Torre Díez, Isabel and López Flores, Miguel Ángel and Castanedo Galán, Juan and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, miguelangel.lopez@uneatlantico.es, juan.castanedo@uneatlantico.es, UNSPECIFIED (2023) Adaptive Filtering: Issues, Challenges, and Best-Fit Solutions Using Particle Swarm Optimization Variants. Sensors, 23 (18). p. 7710. ISSN 1424-8220

Article Subjects > Engineering
Subjects > Comunication
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Chatbots are AI-powered programs designed to replicate human conversation. They are capable of performing a wide range of tasks, including answering questions, offering directions, controlling smart home thermostats, and playing music, among other functions. ChatGPT is a popular AI-based chatbot that generates meaningful responses to queries, aiding people in learning. While some individuals support ChatGPT, others view it as a disruptive tool in the field of education. Discussions about this tool can be found across different social media platforms. Analyzing the sentiment of such social media data, which comprises people’s opinions, is crucial for assessing public sentiment regarding the success and shortcomings of such tools. This study performs a sentiment analysis and topic modeling on ChatGPT-based tweets. ChatGPT-based tweets are the author’s extracted tweets from Twitter using ChatGPT hashtags, where users share their reviews and opinions about ChatGPT, providing a reference to the thoughts expressed by users in their tweets. The Latent Dirichlet Allocation (LDA) approach is employed to identify the most frequently discussed topics in relation to ChatGPT tweets. For the sentiment analysis, a deep transformer-based Bidirectional Encoder Representations from Transformers (BERT) model with three dense layers of neural networks is proposed. Additionally, machine and deep learning models with fine-tuned parameters are utilized for a comparative analysis. Experimental results demonstrate the superior performance of the proposed BERT model, achieving an accuracy of 96.49%. metadata R, Sudheesh and Mujahid, Muhammad and Rustam, Furqan and Shafique, Rahman and Chunduri, Venkata and Gracia Villar, Mónica and Brito Ballester, Julién and Diez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es, julien.brito@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Analyzing Sentiments Regarding ChatGPT Using Novel BERT: A Machine Learning Approach. Information, 14 (9). p. 474. ISSN 2078-2489

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Cerrado Inglés Diets enriched in plant-based foods are associated with the maintenance of a good well-being and with the prevention of many non-communicable diseases. The health effects of fruits and vegetables consumption are mainly due to the presence of micronutrients, including vitamins and minerals, and polyphenols, plant secondary metabolites. One of the most important classes of phenolic compounds are anthocyanins, that confer the typical purple-red color to many foods, such as berries, peaches, plums, red onions, purple corn, eggplants, as well as purple carrots, sweet potatoes and red cabbages, among others. This commentary aims to briefly highlight the progress made by science in the last years, focusing on some unexpected aspects related with anthocyanins, such as their bioavailability, their health effects and their relationship with gut microbiota metadata Giampieri, Francesca and Cianciosi, Danila and Alvarez-Suarez, José M. and Quiles, José L. and Forbes-Hernández, Tamara Y. and Navarro-Hortal, María D. and Machì, Michele and Pali-Casanova, Ramón and Martínez Espinosa, Julio César and Chen, Xiumin and Zhang, Di and Bai, Weibin and Lingmin, Tian and Mezzetti, Bruno and Battino, Maurizio and Diaz, Yasmany Armas mail francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ramon.pali@unini.edu.mx, ulio.martinez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, UNSPECIFIED (2023) Anthocyanins: what do we know until now? Journal of Berry Research. pp. 1-6. ISSN 18785093

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Antimicrobial resistance is a global concern with significant public health implications. We investigated the role of fresh vegetables and their cultivation environments as reservoirs for antimicrobial-resistant Enterobacter cloacae complex (ECC) strains. The study focused on AmpC-producing ECC isolates and their resistance to colistin, a last resort antibiotic. AmpC-producing ECC isolates were detected and confirmed in 10.2% of the 235 samples examined, with no significant difference (p > 0.05) in prevalence between farm and street market samples. Further analysis of 24 AmpC-ECC isolates revealed that 16.7% exhibited resistance to colistin. A colistin-resistant E. kobei strain (AG07E) was detected in irrigation water from a vegetable farm for the first time in Spain. This strain carried the mcr-9.1 gene, demonstrating transferability. It was included in ST56 which is predominantly reported in clinical E. kobei harbouring the mcr-9 gene. Additionally, we identified a multidrug-resistant E. kobei strain (ZA03E) from carrot samples, exhibiting colistin resistance and potential human pathogenicity. This strain belonged to ST125 which has clonal relationships with strains in ST56. Our findings emphasise the importance of monitoring and addressing antimicrobial-resistant ECC strains in fresh vegetables and their production environments, particularly the water, to mitigate potential risks to public health from a One Health perspective. metadata Pintor-Cora, Alberto and Alegría, Ángel and Ramos Vivas, Jose and García-López, María-Luisa and Santos, Jesús A. and Rodríguez-Calleja, Jose M. mail UNSPECIFIED, UNSPECIFIED, jose.ramos@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Antimicrobial-resistant Enterobacter cloacae complex strains isolated from fresh vegetables intended for raw consumption and their farm environments in the Northwest of Spain. LWT, 188. p. 115382. ISSN 00236438

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés In the last decade, artificial intelligence (AI) and AI-mediated technologies have undergone rapid evolution in healthcare and medicine, from apps to computer software able to analyze medical images, robotic surgery and advanced data storage system. The main aim of the present commentary is to briefly describe the evolution of AI and its applications in healthcare, particularly in nutrition and clinical biochemistry. Indeed, AI is revealing itself to be an important tool in clinical nutrition by using telematic means to self-monitor various health metrics, including blood glucose levels, body weight, heart rate, fat percentage, blood pressure, activity tracking and calorie intake trackers. In particular, the application of the most common digital technologies used in the field of nutrition as well as the employment of AI in the management of diabetes and obesity, two of the most common nutrition-related pathologies worldwide, will be presented. metadata Salinari, Alessia and Machì, Michele and Armas Diaz, Yasmany and Cianciosi, Danila and Qi, Zexiu and Yang, Bei and Ferreiro Cotorruelo, Maria Soledad and Gracia Villar, Santos and Dzul López, Luis Alonso and Battino, Maurizio and Giampieri, Francesca mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, luis.dzul@uneatlantico.es, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es (2023) The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment. Diseases, 11 (3). p. 97. ISSN 2079-9721

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Chronic obstructive pulmonary disease (COPD) is a severe and chronic ailment that is currently ranked as the third most common cause of mortality across the globe. COPD patients often experience debilitating symptoms such as chronic coughing, shortness of breath, and fatigue. Sadly, the disease frequently goes undiagnosed until it is too late, leaving patients without the care they desperately need. So, COPD detection at an early stage is crucial to prevent further damage to the lungs and improve quality of life. Traditional COPD detection methods often rely on physical examinations and tests such as spirometry, chest radiography, blood gas tests, and genetic tests. However, these methods may not always be accurate or accessible. One of the key vital signs for detecting COPD is the patient’s respiration rate. However, it is crucial to consider a patient’s medical and demographic characteristics simultaneously for better detection results. To address this issue, this study aims to detect COPD patients using artificial intelligence techniques. To achieve this goal, a novel framework is proposed that utilizes ultra-wideband (UWB) radar-based temporal and spectral features to build machine learning and deep learning models. This new set of temporal and spectral features is extracted from respiration data collected non-invasively from 1.5 m distance using UWB radar. Different machine learning and deep learning models are trained and tested on the collected dataset. The findings are promising, with a high accuracy score of 100% for COPD detection. This means that the proposed framework could potentially save lives by identifying COPD patients at an early stage. The k-fold cross-validation technique and performance comparison with the state-of-the-art studies are applied to validate its performance, ensuring that the results are robust and reliable. The high accuracy score achieved in the study implies that the proposed framework has the potential for the efficient detection of COPD at an early stage. metadata Siddiqui, Hafeez-Ur-Rehman and Raza, Ali and Saleem, Adil Ali and Rustam, Furqan and Díez, Isabel de la Torre and Gavilanes Aray, Daniel and Lipari, Vivian and Ashraf, Imran and Dudley, Sandra mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, daniel.gavilanes@uneatlantico.es, vivian.lipari@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) An Approach to Detect Chronic Obstructive Pulmonary Disease Using UWB Radar-Based Temporal and Spectral Features. Diagnostics, 13 (6). p. 1096. ISSN 2075-4418

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Cerrado Inglés Wine is a highly complex mixture of components with different chemical natures. These components largely define wine’s appearance, aroma, taste, and mouthfeel properties. Among them, aroma is among the most important indicators of wine’s sensory characteristics. The essence of winemaking ecosystem is the process of metabolic activities of diverse microbes including yeasts, lactic acid bacteria, and molds, which result in wines with complicated and diversified aromas. A better understanding of how these microbes affect wine’s aroma is a crucial step to producing premium quality wine. This study illustrates existing knowledge on the diversity and classification of wine aroma compounds and their microbial origin. Their contributions to wine characteristics are discussed, as well. Furthermore, we review the relationship between these microbes and wine aroma characteristics. This review broadens the discussion of wine aroma compounds to include more modern microbiological concepts, and it provides relevant background and suggests new directions for future research. metadata Liu, Shuxun and Lou, Ying and Li, Yixian and Zhao, Yan and Laaksonen, Oskar and Li, Ping and Zhang, Jiaojiao and Battino, Maurizio and Yang, Baoru and Gu, Qing mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Aroma characteristics of volatile compounds brought by variations in microbes in winemaking. Food Chemistry, 420. p. 136075. ISSN 03088146

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
University of La Romana > Research > Scientific Production
Abierto Inglés Behavioral economics and artificial intelligence (AI) have been two rapidly growing fields of research over the past few years. While behavioral economics aims to combine concepts from psychology, sociology, and neuroscience with classical economic thoughts to understand human decision-making processes in the complex economic environment, AI on the other hand, focuses on creating intelligent machines that can mimic human cognitive abilities such as learning, problem-solving, decision-making, and language understanding. The intersection of these two fields has led to thrilling research theories and practical applications. This study provides a bibliometric analysis of the literature on AI and behavioral economics to gain insight into research trends in this field. We conducted this bibliometric analysis using the Web of Science database on articles published between 2012 and 2022 that were related to AI and behavioral economics. VOSviewer and Bibliometrix R package were utilized to identify influential authors, journals, institutions, and countries in the field. Network analysis was also performed to identify the main research themes and their interrelationships. The analysis revealed that the number of publications on AI and behavioral economics has been increasing steadily over the past decade. We found that most studies focused on customer and consumer behavior, including topics such as decision-making under uncertainty, neuroeconomics, and behavioral game theory, combined mainly with machine learning and deep learning techniques. We also identified several emerging themes, including the use of AI in nudging and prospect theory in behavioral finance, as well as undeveloped themes such as AI-driven behavioral macroeconomics. The findings suggests that there is a need for more interdisciplinary collaboration between researchers in behavioral economics and AI. We also suggest that future research on AI and behavioral economics further consider the ethical implications of using AI and behavioral insights in decision-making. This study can serve as a valuable resource for researchers interested in AI and behavioral economics. metadata Aoujil, Zakaria and Hanine, Mohamed and Soriano Flores, Emmanuel and Samad, Md Abdu and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, emmanuel.soriano@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Artificial Intelligence and Behavioral Economics: A Bibliographic Analysis of Research Field. IEEE Access. p. 1. ISSN 2169-3536 (In Press)

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The precise prediction of power estimates of wind–solar renewable energy sources becomes challenging due to their intermittent nature and difference in intensity between day and night. Machine-learning algorithms are non-linear mapping functions to approximate any given function from known input–output pairs and can be used for this purpose. This paper presents an artificial neural network (ANN)-based method to predict hybrid wind–solar resources and estimate power generation by correlating wind speed and solar radiation for real-time data. The proposed ANN allows optimization of the hybrid system’s operation by efficient wind and solar energy production estimation for a given set of weather conditions. The proposed model uses temperature, humidity, air pressure, solar radiation, optimum angle, and target values of known wind speeds, solar radiation, and optimum angle. A normalization function to narrow the error distribution and an iterative method with the Levenberg–Marquardt training function is used to reduce error. The experimental results show the effectiveness of the proposed approach against the existing wind, solar, or wind–solar estimation methods. It is envisaged that such an intelligent yet simplified method for predicting wind speed, solar radiation, and optimum angle, and designing wind–solar hybrid systems can improve the accuracy and efficiency of renewable energy generation. metadata Shafi, Imran and Khan, Harris and Farooq, Muhammad Siddique and Diez, Isabel de la Torre and Miró Vera, Yini Airet and Castanedo Galán, Juan and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, yini.miro@uneatlantico.es, juan.castanedo@uneatlantico.es, UNSPECIFIED (2023) An Artificial Neural Network-Based Approach for Real-Time Hybrid Wind–Solar Resource Assessment and Power Estimation. Energies, 16 (10). p. 4171. ISSN 1996-1073

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Cerrado Inglés Asparagus species is recognized as a perennial herb with several valuable functional ingredients, and has been widely used as medicine and food since ancient times. Among its main chemical constituents, saponins play a vital role in the health benefits and biological activities including anti-cancer, antioxidant, immunomodulatory, anti-microbial, anti-inflammatory, and hypoglycemic. This review summarizes the preparation methods, structure and classification, biological functions, as well as the food and non-food applications of asparagus saponins, with a special emphasis on its anti-cancer effects in vitro and in vivo. Further, the main challenges and limitations of the current research trends in asparagus saponins are highlighted after a detailed analysis of the recent research information. This review bridges the gap between bioactive components and human health and aids current research on functional and health-promoting foods and medicinal application of Asparagus saponins. metadata Zhang, Fan and Chen, Shengxiong and Zhang, Jianguo and Thakur, Kiran and Battino, Maurizio and Cao, Hui and Farag, Mohamed A. and Xiao, Jianbo and Wei, Zhaojun mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Asparagus saponins: effective natural beneficial ingredient in functional foods, from preparation to applications. Critical Reviews in Food Science and Nutrition. pp. 1-19. ISSN 1040-8398

Article Subjects > Biomedicine
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books Abierto Inglés Metabolic syndrome, obesity and diabetes mellitus are the most common metabolic disorders (MDs) in the world, characterized by abnormalities in body's metabolic processes. The typical diagnosis of MDs is usually executed by monitoring the levels of specific biochemical markers, but diagnostic imaging may provide valuable complementary information in MDs, offering advantages in diagnosis, target organ monitoring, follow-up, and development of new therapeutic approaches. The aim of this review is to summarize and discuss the studies published in the literature about the connection between images deriving from the diagnostic techniques and the key biochemical markers in the main MDs, in order to gain a comprehensive view of the different disorders. metadata Cianciosi, Danila and Diaz, Yasmany Armas and Grosso, Giuseppe and Quiles, José L. and Giampieri, Francesca and Battino, Maurizio mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es (2023) Association between diagnostic imaging and biochemical markers: a possible tool for monitoring metabolic disorders. Current Opinion in Food Science. p. 101109. ISSN 22147993

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Project-based organizations need to procure different commodities, and the failure/success of a project depends heavily on procurement management. Companies must refine and develop methods to simplify and optimize the procurement process in a highly competitive environment. This paper presents a methodology to help managers of project-based organizations analyze procurement processes to determine the optimal framework for simultaneously addressing multiple objectives. These goals include minimizing the time between the generation and required approval for a purchase, identifying unnamed activities, and allocating the budget efficiently. In this paper, we apply process mining algorithms to a dataset consisting of event logs on Oracle Financials-based enterprise resource planning (ERP) procurement processes in ERP systems and demonstrate interesting results leading to project procurement intelligence (PPI). The provided log data is the real-life data consisting of 180,462 events referring to seven activities within 43,101 cases. The logged procurement processes are filtered and analyzed using the open-source process mining frameworks PrOM and Disco. As a result of the process mining activities, a simulation of the discovered process model derived from the event log of the entire procurement process is presented, and the most frequent potential behaviors are identified. This analysis and extraction of frequent processes from corporate event logs help organizations understand, adapt, and redesign procurement operations and, most importantly, make them more efficient and of higher quality. This study shows that after the successful formulation of guiding principles, data refinement, and process structure optimization, the case study results are considered significant by the organization’s management. metadata Butt, Naveed Anwer and Mahmood, Zafar and Sana, Muhammad Usman and Díez, Isabel de la Torre and Castanedo Galán, Juan and Brie, Santiago and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juan.castanedo@uneatlantico.es, santiago.brie@uneatlantico.es, UNSPECIFIED (2023) Behavioral and Performance Analysis of a Real-Time Case Study Event Log: A Process Mining Approach. Applied Sciences, 13 (7). p. 4145. ISSN 2076-3417

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Inglés, Español El objetivo del estudio fue analizar los beneficios que el ejercicio físico produce en mujeres diagnosticadas de cáncer de seno invasivo y se encuentran entre las fases I a IIIA, recibiendo tratamiento de quimioterapia, radioterapia o ambos simultáneamente. Las bases de datos de PubMed y Google Académico fueron consultadas hasta abril de 2022 arrojando un total de 29.410 resultados. Tras aplicar los criterios de exclusión fijados, el número de artículos seleccionados que aportaban datos relevantes para el desarrollo del estudio se redujeron a siete. Los autores demostraron que practicar ejercicio aeróbico durante un periodo de entre doce y dieciséis semanas a razón de dos días semanales, en sesiones inferiores a la hora de duración y en las que se realicen ejercicios a intensidades entre el 60%-80% de la FCmáx generaba adaptaciones beneficiosas. De igual manera, practicar entrenamiento de fuerza a intensidades entre el 60%-80% de la 1RM, generó mejoras en el estado de salud, los parámetros psicológicos y disminuyó los síntomas de dolor y la fatiga, entre otros. El estudio concluyó que la práctica de ejercicio físico en estas pacientes, incluyendo las modalidades de entrenamiento aeróbico o de fuerza de manera supervisada y personalizada, resultaba beneficioso, totalmente seguro y generaba beneficios tales como: la disminución de la sensación de fatiga, el refuerzo de la musculatura o la contribución a la adherencia de actividad física diaria, lo que resultó en una mejora en su calidad de vida. metadata Lago-Fuentes, Carlos and Pulgar, Susana and Sánchez Calderón, Raúl mail carlos.lago@uneatlantico.es, susana.pulgar@uneatlantico.es, UNSPECIFIED (2023) Beneficios del ejercicio físico en mujeres diagnosticadas de cáncer de seno invasivo. Una revisión sistemática. MLS Sport Research, 3 (2). ISSN 2792-7156

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Cerrado Inglés Betalains are water-soluble, nitrogen-containing vacuolar pigment and can be divided into two subclasses: the yellow – orange betaxanthins and the red – violet betacyanin. These pigments can be found mainly in Latin America, but also in some parts of Asia, Africa, Australia and in the Mediterranean area. In this work an overview related with the status of research about betalains extracted from Opuntia spp and the enforces made to evaluate their positive incidence in the human body is provided. Several studies enhance their anticancer, anti-inflammatory and antioxidant properties. They also exhibit antimicrobial and antidiabetic effect. Taking into account these properties, betalains seem to be a promising natural alternative as a colorant to replace the synthetic ones in the food additive industry. In addition, the use of Opuntia spp fruits as possible colorant sources in the Food Industry, may contribute positively to the sustainable development in semi-arid regions. metadata Armas Diaz, Yasmany and Qi, Zexiu and Yang, Bei and Martínez López, Nohora Milena and Briones Urbano, Mercedes and Cianciosi, Danila mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, nohora.martinez@uneatlantico.es, mercedes.briones@uneatlantico.es, UNSPECIFIED (2023) Betalains: The main bioactive compounds of Opuntia spp and their possible health benefits in the Mediterranean diet. Mediterranean Journal of Nutrition and Metabolism, 16 (3). pp. 181-190. ISSN 1973798X

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Abierto Inglés Tagetes erecta is an edible flower deeply rooted in traditional Mexican culture. It holds a central role in the most popular and iconic Mexican celebration, “the Day of the Dead”. Furthermore, it is currently receiving interest as a potential therapeutic agent, motivated mainly by its polyphenol content. The present study aims to evaluate the biological activity of an extract synthesized from the petals of the edible flower T. erecta. This extract showed significant antioxidant scores measured by the most common in vitro methodologies (FRAP, ABTS, and DPPH), with values of 1475.3 μM trolox/g extr, 1950.3 μM trolox/g extr, and 977.7 μM trolox/g extr, respectively. In addition, up to 36 individual polyphenols were identified by chromatography. Regarding the biomedical aspects of the petal extract, it exhibited antitumoral activity against ovarian carcinoma cells evaluated by the MTS assay, revealing a lower value of IC50 compared to other flower extracts. For example, the extract from T. erecta reported an IC50 value half as low as an extract from Rosa × hybrida and six times lower than another extract from Tulbaghia violacea. This antitumoral effect of T. erecta arises from the induction of the apoptotic process; thus, incubating ovarian carcinoma cells with the petal extract increased the rate of apoptotic cells measured by flow cytometry. Moreover, the extract also demonstrated efficacy as a therapeutic agent against tauopathy, a feature of Alzheimer’s disease (AD) in the Caenorhabditis elegans experimental model. Treating worms with the experimental extract prevented disfunction in several motility parameters such as wavelength and swimming speed. Furthermore, the T. erecta petal extract prevented the release of Reactive Oxygen Species (ROS), which are associated with the progression of AD. Thus, treatment with the extract resulted in an approximate 20% reduction in ROS production. These findings suggest that these petals could serve as a suitable source of polyphenols for biomedical applications. metadata Rivas-García, Lorenzo and Crespo-Antolín, Lara and Forbes-Hernández, Tamara Y. and Romero-Márquez, Jose M. and Navarro-Hortal, María D. and Arredondo, Miguel and Llopis, Juan and Quiles, José L. and Sánchez-González, Cristina mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es, UNSPECIFIED (2023) Bioactive Properties of Tagetes erecta Edible Flowers: Polyphenol and Antioxidant Characterization and Therapeutic Activity against Ovarian Tumoral Cells and Caenorhabditis elegans Tauopathy. International Journal of Molecular Sciences, 25 (1). p. 280. ISSN 1422-0067

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Internet of Things (IoT) has made significant strides in energy management systems recently. Due to the continually increasing cost of energy, supply–demand disparities, and rising carbon footprints, the need for smart homes for monitoring, managing, and conserving energy has increased. In IoT-based systems, device data are delivered to the network edge before being stored in the fog or cloud for further transactions. This raises worries about the data’s security, privacy, and veracity. It is vital to monitor who accesses and updates this information to protect IoT end-users linked to IoT devices. Smart meters are installed in smart homes and are susceptible to numerous cyber attacks. Access to IoT devices and related data must be secured to prevent misuse and protect IoT users’ privacy. The purpose of this research was to design a blockchain-based edge computing method for securing the smart home system, in conjunction with machine learning techniques, in order to construct a secure smart home system with energy usage prediction and user profiling. The research proposes a blockchain-based smart home system that can continuously monitor IoT-enabled smart home appliances such as smart microwaves, dishwashers, furnaces, and refrigerators, among others. An approach based on machine learning was utilized to train the auto-regressive integrated moving average (ARIMA) model for energy usage prediction, which is provided in the user’s wallet, to estimate energy consumption and maintain user profiles. The model was tested using the moving average statistical model, the ARIMA model, and the deep-learning-based long short-term memory (LSTM) model on a dataset of smart-home-based energy usage under changing weather conditions. The findings of the analysis reveal that the LSTM model accurately forecasts the energy usage of smart homes. metadata Iqbal, Faiza and Altaf, Ayesha and Waris, Zeest and Gavilanes Aray, Daniel and López Flores, Miguel Ángel and Díez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, daniel.gavilanes@uneatlantico.es, miguelangel.lopez@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Blockchain-Modeled Edge-Computing-Based Smart Home Monitoring System with Energy Usage Prediction. Sensors, 23 (11). p. 5263. ISSN 1424-8220

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Breast cancer is prevalent in women and the second leading cause of death. Conventional breast cancer detection methods require several laboratory tests and medical experts. Automated breast cancer detection is thus very important for timely treatment. This study explores the influence of various feature selection technique to increase the performance of machine learning methods for breast cancer detection. Experimental results shows that use of appropriate features tend to show highly accurate prediction metadata Shafique, Rahman and Rustam, Furqan and Choi, Gyu Sang and Díez, Isabel de la Torre and Mahmood, Arif and Lipari, Vivian and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, vivian.lipari@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2023) Breast Cancer Prediction Using Fine Needle Aspiration Features and Upsampling with Supervised Machine Learning. Cancers, 15 (3). p. 681. ISSN 2072-6694

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production
Cerrado Inglés Agriculture is an important sector that plays an essential role in the economic development of a country. Each year farmers face numerous challenges in producing good quality crops. One of the major reasons behind the failure of the harvest is the use of unscientific agricultural practices. Moreover, every year enormous crop loss is encountered either by pests, specific diseases, or natural disasters. It raises a strong concern to employ sustainable advanced technologies to address agriculture-related issues. In this paper, a sustainable real-time crop disease detection and prevention system, called CROPCARE is proposed. The system integrates mobile vision, Internet of Things (IoT), and Google Cloud services for sustainable growth of crops. The primary function of the proposed intelligent system is to detect crop diseases through the CROPCARE -mobile application. It uses Super-Resolution Convolution Network (SRCNN) and the pretrained model MobileNet-V2 to generate a decision model trained over various diseases. To maintain sustainability, the mobile app is integrated with IoT sensors and Google Cloud services. The proposed system also provides recommendations that help farmers know about current soil conditions, weather conditions, disease prevention methods, etc. It supports both Hindi and English dictionaries for the convenience of the farmers. The proposed approach is validated by using the PlantVillage dataset. The obtained results confirm the performance strength of the proposed system. metadata Garg, Garima and Gupta, Shivam and Mishra, Preeti and Vidyarthi, Ankit and Singh, Aman and Ali, Asmaa mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED (2023) CROPCARE: An Intelligent Real-Time Sustainable IoT System for Crop Disease Detection Using Mobile Vision. IEEE Internet of Things Journal. p. 1. ISSN 2372-2541

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés Alpha-linolenic acid (ALA) is a long-chain polyunsaturated essential fatty acid of the Ω3 series found mainly in vegetables, especially in the fatty part of oilseeds, dried fruit, berries, and legumes. It is very popular for its preventive use in several diseases: It seems to reduce the risk of the onset or decrease some phenomena related to inflammation, oxidative stress, and conditions of dysregulation of the immune response. Recent studies have confirmed these unhealthy situations also in patients with severe coronavirus disease 2019 (COVID-19). Different findings (in vitro, in vivo, and clinical ones), summarized and analyzed in this review, have showed an important role of ALA in other various non-COVID physiological and pathological situations against “cytokines storm,” chemokines secretion, oxidative stress, and dysregulation of immune cells that are also involved in the infection of the 2019 novel coronavirus. According to the effects of ALA against all the aforementioned situations (also present in patients with a severe clinical picture of severe acute respiratory syndrome-(CoV-2) infection), there may be the biologic plausibility of a prophylactic effect of this compound against COVID-19 symptoms and fatality. metadata Cianciosi, Danila and Diaz, Yasmany Armas and Gaddi, Antonio Vittorino and Capello, Fabio and Savo, Maria Teresa and Pali-Casanova, Ramón and Martínez Espinosa, Julio César and Pascual Barrera, Alina Eugenia and Navarro‐Hortal, Maria‐Dolores and Tian, Lingmin and Bai, Weibin and Giampieri, Francesca and Battino, Maurizio mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ramon.pali@unini.edu.mx, ulio.martinez@unini.edu.mx, alina.pascual@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED (2023) Can alpha‐linolenic acid be a modulator of “cytokine storm,” oxidative stress and immune response in SARS‐CoV‐2 infection? Food Frontiers. ISSN 2643-8429

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Cerrado Inglés Manuka honey, which is rich in pinocembrin, quercetin, naringenin, salicylic, p-coumaric, ferulic, syringic and 3,4-dihydroxybenzoic acids, has been shown to have pleiotropic effects against colon cancer cells. In this study, potential chemosensitizing effects of Manuka honey against 5-Fluorouracil were investigated in colonspheres enriched with cancer stem cells (CSCs), which are responsible for chemoresistance. Results showed that 5-Fluorouracil increased when it was combined with Manuka honey by downregulating the gene expression of both ATP-binding cassette sub-family G member 2, an efflux pump and thymidylate synthase, the main target of 5-Fluorouracil which regulates the ex novo DNA synthesis. Manuka honey was associated with decreased self-renewal ability by CSCs, regulating expression of several genes in Wnt/β-catenin, Hedgehog and Notch pathways. This preliminary study opens new areas of research into the effects of natural compounds in combination with pharmaceuticals and, potentially, increase efficacy or reduce adverse effects. metadata Cianciosi, Danila and Armas Diaz, Yasmany and Alvarez-Suarez, José M. and Chen, Xiumin and Zhang, Di and Martínez López, Nohora Milena and Briones Urbano, Mercedes and Quiles, José L. and Amici, Adolfo and Battino, Maurizio and Giampieri, Francesca mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, nohora.martinez@uneatlantico.es, mercedes.briones@uneatlantico.es, jose.quiles@uneatlantico.es, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es (2023) Can the phenolic compounds of Manuka honey chemosensitize colon cancer stem cells? A deep insight into the effect on chemoresistance and self-renewal. Food Chemistry, 427. p. 136684. ISSN 03088146

Article Subjects > Teaching Europe University of Atlantic > Research > Articles and books Abierto Español El propósito de este artículo de investigación fue realizar una clasificación basada en redes neuronales, para pronosticar el nivel de satisfacción de una muestra de egresados, correspondiente a diferentes programas de posgrado del área de salud de una institución educativa latinoamericana bajo una metodología e-learning. Con este fin, se instrumentalizó un modelo en un cuestionario de escala de Likert que, tras ser validado, resultó con una confiabilidad de 0.791. Asimismo, el índice global medio de satisfacción de los egresados fue de 2.66/4, observando una mejor puntuación en el apartado de logística de materiales y en el manejo y soporte técnico del campus virtual, mientras que las puntuaciones más bajas se refirieron a aspectos relacionados con la comunicación extra-centro y las facilidades ofrecidas por la institución para la mejora del contexto económico y social del participante. Finalmente, el algoritmo de clasificación y predicción probabilística de la red neuronal obtuvo una precisión del 96.8%, lo que indicó un excelente grado de ajuste del modelo. La metodología seguida y el rigor en la determinación de la validez y confiabilidad del instrumento, así como el posterior análisis de resultados, refrendado con la revisión de la información documentada, hace presuponer la aplicación del instrumento a otros programas multidisciplinares para la toma de decisiones con garantías en el ámbito educativo. metadata Soriano Flores, Emmanuel and Rodríguez Velasco, Carmen Lilí and Brito Ballester, Julién and Gracia Villar, Mónica and Dominguez Azpíroz, Irma mail emmanuel.soriano@uneatlantico.es, carmen.rodriguez@uneatlantico.es, julien.brito@uneatlantico.es, monica.gracia@uneatlantico.es, irma.dominguez@unini.edu.mx (2023) Clasificación y pronóstico del nivel de satisfacción de egresados de programas de salud en el contexto de una metodología de aprendizaje automático: un análisis de caso orientado a posgrados online de una institución educativa iberoamericana. MLS Educational Research, 7 (2). ISSN 2603-5820

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés UNSPECIFIED metadata Ali, Omer and Abbas, Qamar and Mahmood, Khalid and Bautista Thompson, Ernesto and Arambarri, Jon and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ernesto.bautista@unini.edu.mx, jon.arambarri@uneatlantico.es, UNSPECIFIED (2023) Competitive Coevolution-Based Improved Phasor Particle Swarm Optimization Algorithm for Solving Continuous Problems. Mathematics, 11 (21). p. 4406. ISSN 2227-7390

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Artificial intelligence has made substantial progress in medicine. Automated dental imaging interpretation is one of the most prolific areas of research using AI. X-ray and infrared imaging systems have enabled dental clinicians to identify dental diseases since the 1950s. However, the manual process of dental disease assessment is tedious and error-prone when diagnosed by inexperienced dentists. Thus, researchers have employed different advanced computer vision techniques, and machine- and deep-learning models for dental disease diagnoses using X-ray and near-infrared imagery. Despite the notable development of AI in dentistry, certain factors affect the performance of the proposed approaches, including limited data availability, imbalanced classes, and lack of transparency and interpretability. Hence, it is of utmost importance for the research community to formulate suitable approaches, considering the existing challenges and leveraging findings from the existing studies. Based on an extensive literature review, this survey provides a brief overview of X-ray and near-infrared imaging systems. Additionally, a comprehensive insight into challenges faced by researchers in the dental domain has been brought forth in this survey. The article further offers an amalgamative assessment of both performances and methods evaluated on public benchmarks and concludes with ethical considerations and future research avenues. metadata Shafi, Imran and Fatima, Anum and Afzal, Hammad and Díez, Isabel de la Torre and Lipari, Vivian and Breñosa, Jose and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, vivian.lipari@uneatlantico.es, josemanuel.brenosa@uneatlantico.es, UNSPECIFIED (2023) A Comprehensive Review of Recent Advances in Artificial Intelligence for Dentistry E-Health. Diagnostics, 13 (13). p. 2196. ISSN 2075-4418

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés Renewable energy solutions are appropriate for on-grid and off-grid applications, acting as a supporter for the utility network or rural locations without the need to develop or extend costly and difficult grid infrastructure. As a result, hybrid renewable energy sources have become a popular option for grid-connected or standalone systems. This paper examines hybrid renewable energy power production systems with a focus on energy sustainability, reliability due to irregularities, techno-economic feasibility, and being environmentally friendly. In attaining a reliable, clean, and cost-effective system, sizing optimal hybrid renewable energy sources (HRES) is a crucial challenge. The presenters went further to outline the best sizing approach that can be used in HRES, taking into consideration the key components, parameters, methods, and data. Moreover, the goal functions, constraints from design, system components, optimization software tools, and meta-heuristic algorithm methodologies were highlighted for the available studies in this timely synopsis of the state of the art. Additionally, current issues resulting from scaling HRES were also identified and discussed. The latest trends and advances in planning problems were thoroughly addressed. Finally, this paper provides suggestions for further research into the appropriate component sizing in HRES. metadata Agajie, Takele Ferede and Ali, Ahmed and Fopah-Lele, Armand and Amoussou, Isaac and Khan, Baseem and Rodríguez Velasco, Carmen Lilí and Tanyi, Emmanuel mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2023) A Comprehensive Review on Techno-Economic Analysis and Optimal Sizing of Hybrid Renewable Energy Sources with Energy Storage Systems. Energies, 16 (2). p. 642. ISSN 1996-1073

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés In the field of natural language processing, machine translation is a colossally developing research area that helps humans communicate more effectively by bridging the linguistic gap. In machine translation, normalization and morphological analyses are the first and perhaps the most important modules for information retrieval (IR). To build a morphological analyzer, or to complete the normalization process, it is important to extract the correct root out of different words. Stemming and lemmatization are techniques commonly used to find the correct root words in a language. However, a few studies on IR systems for the Urdu language have shown that lemmatization is more effective than stemming due to infixes found in Urdu words. This paper presents a lemmatization algorithm based on recurrent neural network models for the Urdu language. However, lemmatization techniques for resource-scarce languages such as Urdu are not very common. The proposed model is trained and tested on two datasets, namely, the Urdu Monolingual Corpus (UMC) and the Universal Dependencies Corpus of Urdu (UDU). The datasets are lemmatized with the help of recurrent neural network models. The Word2Vec model and edit trees are used to generate semantic and syntactic embedding. Bidirectional long short-term memory (BiLSTM), bidirectional gated recurrent unit (BiGRU), bidirectional gated recurrent neural network (BiGRNN), and attention-free encoder–decoder (AFED) models are trained under defined hyperparameters. Experimental results show that the attention-free encoder-decoder model achieves an accuracy, precision, recall, and F-score of 0.96, 0.95, 0.95, and 0.95, respectively, and outperforms existing models metadata Hafeez, Rabab and Anwar, Muhammad Waqas and Jamal, Muhammad Hasan and Fatima, Tayyaba and Martínez Espinosa, Julio César and Dzul López, Luis Alonso and Bautista Thompson, Ernesto and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ulio.martinez@unini.edu.mx, luis.dzul@uneatlantico.es, ernesto.bautista@unini.edu.mx, UNSPECIFIED (2023) Contextual Urdu Lemmatization Using Recurrent Neural Network Models. Mathematics, 11 (2). p. 435. ISSN 2227-7390

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books Abierto Inglés Several randomised controlled trials (RCT) have demonstrated the superiority of transdiagnostic group cognitive-behavioural therapy (TD-CBT) to treatment as usual (TAU) for emotional disorders in primary care. To date, however, no RCTs have been conducted to compare TD-CBT to another active intervention in this setting. Our aim is to conduct a single-blind RCT to compare group TD-CBT plus TAU to progressive muscle relaxation (PMR) plus TAU in adults (age 18 to 65 years) with a suspected emotional disorder. We expect that TD-CBT + TAU will be more cost-effective than TAU + PMR, and that these gains will be maintained at the 12-month follow-up. Seven therapy sessions (1.5 hours each) will be offered over a 24-week period. The study will be carried out at four primary care centres in Cantabria, Spain. The study will take a societal perspective. Psychological assessments will be made at three time points: baseline, post-treatment, and at 12-months. The following variables will be evaluated: clinical symptoms (anxiety, depression, and/or somatic); functioning; quality of life (QoL); cognitive-emotional factors (rumination, worry, attentional and interpretative biases, emotion regulation and meta-cognitive beliefs); and satisfaction with treatment. Data on health service use, medications, and sick days will be obtained from electronic medical records. Primary outcome measures will include: incremental cost-effectiveness ratios (ICER) and incremental cost-utility ratios (ICURs). Secondary outcome measures will include: clinical symptoms, QoL, functioning, and treatment satisfaction. Bootstrap sampling will be used to assess uncertainty of the results. Secondary moderation and mediation analyses will be conducted. Two questionnaires will be administered at sessions 1, 4, and 7 to assess therapeutic alliance and group satisfaction. If this trial is successful, widespread application of this cost-effective treatment could greatly improve access to psychological treatment for emotional disorders in the context of increasing demand for mental healthcare in primary care. metadata Moreno-Peral, Patricia and González-Blanch, César and Barrio-Martínez, Sara and Priede, Amador and Martínez-Gómez, Sandra and Pérez-García-Abad, Saioa and Miras-Aguilar, María and Ruiz-Gutiérrez, José and Muñoz-Navarro, Roger and Ruiz-Rodríguez, Paloma and Medrano, Leonardo A. and Prieto-Vila, Maider and Carpallo-González, María and Aguilera-Martín, Ángel and Gálvez-Lara, Mario and Cuadrado, Fátima and Moreno, Eliana and García-Torres, Francisco and Venceslá, José F. and Corpas, Jorge and Jurado-González, Francisco J. and Moriana, Juan A. and Cano-Vindel, Antonio mail UNSPECIFIED, cesar.gonzalezblanch@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Cost-effectiveness of transdiagnostic group cognitive behavioural therapy versus group relaxation therapy for emotional disorders in primary care (PsicAP-Costs2): Protocol for a multicentre randomised controlled trial. PLOS ONE, 18 (3). e0283104. ISSN 1932-6203

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés, Español Las alteraciones metabólicas suponen hoy en día una de las afecciones más padecidas en todo el mundo. Es por ello, que la indagación en el estudio sobre la influencia de la hora de la ingesta en el metabolismo de un nutriente, es de gran importancia para el desarrollo y aplicación de nuevos tratamientos en lo que a estas enfermedades respecta. Mediante esta revisión bibliográfica, a través de la búsqueda bibliográfica profunda en diferentes bases de datos, se han obtenido diversos archivos, documentos, artículos y estudios que han servido para el análisis, desarrollo y ejecución del vigente artículo. La molécula de la glucosa presenta niveles más acentuados en la tarde versus la mañana, debido a la disminución de la actividad de la insulina con el avance del día. La mayoría de los lípidos presentan sus niveles más altos en la mañana, a excepción de los triglicéridos mostrándolos en la tarde. En cuanto a las proteínas se necesita más estudio para su conocimiento en este aspecto. Se requiere de más investigación para poder obtener una conclusión más exacta. Aun así, se puede concluir en que la hora de la ingesta es un factor que afecta en la ritmicidad de los procesos metabólicos, interfiriendo y alterando la actividad y respuesta de los nutrientes. metadata Conde González, Sandra mail UNSPECIFIED (2023) Crononutrición: efecto de la hora de la ingesta en el metabolismo de los nutrientes. MLS Health & Nutrition Research, 1 (2).

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés This paper presents a current- and voltage-driven protection scheme for transmission lines based on a hybrid mix of Stockwell transform (ST) and Hilbert transform (HT). Use of both current and voltage waveforms to detect and categorize faults, improves the reliability of this protection scheme and avoids false tripping. Current and voltage waveforms captured during a period of fault are analyzed using ST to compute a median intermediate fault index (MIFI), a maximum value intermediate fault index (MVFI), and a summation intermediate fault index (SIFI). Current and voltage signals are analyzed via applying HT to compute a Hilbert fault index (HFI). The proposed hybrid current and voltage fault index (HCVFI) is obtained from the MIFI, MVFI, SIFI, and HFI. A threshold magnitude for this hybrid current and voltage fault index (HCVFITH) is set to 500 to identify the faulty phase. The HCVFIT is selected after testing the method for various conditions of different fault locations, different fault impedances, different fault occurrence angles, and reverse flows of power. Fault classification is performed using the number of faulty phases and an index for ground detection (IGD). The ground involved in a fault is detected by comparison of peak IGD magnitude with a threshold for ground detection (THGD). THGD is considered equal to 1000 in this study. The study is carried out using a two-terminal transmission line modeled in MATLAB software. The performance of the proposed technique is better compared to a discrete wavelet transform (DWT)-based technique, a time–frequency approach, and an alienation method. Our algorithm effectively detected an AG fault, observed on a practical transmission line. metadata Tang, Ligang and Mahela, Om Prakash and Khan, Baseem and Miró Vera, Yini Airet mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, yini.miro@uneatlantico.es (2023) Current- and Voltage-Actuated Transmission Line Protection Scheme Using a Hybrid Combination of Signal Processing Techniques. Sustainability, 15 (7). p. 5715. ISSN 2071-1050

Article Subjects > Biomedicine
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés The genus Aeromonas has received constant attention in different areas, from aquaculture and veterinary medicine to food safety, where more and more frequent isolates are occurring with increased resistance to antibiotics. The present paper studied the interaction of Aeromonas strains isolated from fresh produce and water with different eukaryotic cell types with the aim of better understanding the cytotoxic capacity of these strains. To study host-cell pathogen interactions in Aeromonas, we used HT-29, Vero, J774A.1, and primary mouse embryonic fibroblasts. These interactions were analyzed by confocal microscopy to determine the cytotoxicity of the strains. We also used Galleria mellonella larvae to test their pathogenicity in this experimental model. Our results demonstrated that two strains showed high cytotoxicity in epithelial cells, fibroblasts, and macrophages. Furthermore, these strains showed high virulence using the G. mellonella model. All strains used in this paper generally showed low levels of resistance to the different families of the antibiotics being tested. These results indicated that some strains of Aeromonas present in vegetables and water pose a potential health hazard, displaying very high in vitro and in vivo virulence. This pathogenic potential, and some recent concerning findings on antimicrobial resistance in Aeromonas, encourage further efforts in examining the precise significance of Aeromonas strains isolated from foods for human consumption. metadata Pintor-Cora, Alberto and Tapia Martínez, Olga and Elexpuru Zabaleta, Maria and Ruiz de Alegría, Carlos and Rodríguez-Calleja, Jose M. and Santos, Jesús A. and Ramos Vivas, Jose mail UNSPECIFIED, olga.tapia@uneatlantico.es, maria.elexpuru@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.ramos@uneatlantico.es (2023) Cytotoxicity and Antimicrobial Resistance of Aeromonas Strains Isolated from Fresh Produce and Irrigation Water. Antibiotics, 12 (3). p. 511. ISSN 2079-6382

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Automated dental imaging interpretation is one of the most prolific areas of research using artificial intelligence. X-ray imaging systems have enabled dental clinicians to identify dental diseases. However, the manual process of dental disease assessment is tedious and error-prone when diagnosed by inexperienced dentists. Thus, researchers have employed different advanced computer vision techniques, as well as machine and deep learning models for dental disease diagnoses using X-ray imagery. In this regard, a lightweight Mask-RCNN model is proposed for periapical disease detection. The proposed model is constructed in two parts: a lightweight modified MobileNet-v2 backbone and region-based network (RPN) are proposed for periapical disease localization on a small dataset. To measure the effectiveness of the proposed model, the lightweight Mask-RCNN is evaluated on a custom annotated dataset comprising images of five different types of periapical lesions. The results reveal that the model can detect and localize periapical lesions with an overall accuracy of 94%, a mean average precision of 85%, and a mean insection over a union of 71.0%. The proposed model improves the detection, classification, and localization accuracy significantly using a smaller number of images compared to existing methods and outperforms state-of-the-art approaches metadata Fatima, Anum and Shafi, Imran and Afzal, Hammad and Mahmood, Khawar and Díez, Isabel de la Torre and Lipari, Vivian and Brito Ballester, Julién and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, vivian.lipari@uneatlantico.es, julien.brito@uneatlantico.es, UNSPECIFIED (2023) Deep Learning-Based Multiclass Instance Segmentation for Dental Lesion Detection. Healthcare, 11 (3). p. 347. ISSN 2227-9032

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Monitoring tool conditions and sub-assemblies before final integration is essential to reducing processing failures and improving production quality for manufacturing setups. This research study proposes a real-time deep learning-based framework for identifying faulty components due to malfunctioning at different manufacturing stages in the aerospace industry. It uses a convolutional neural network (CNN) to recognize and classify intermediate abnormal states in a single manufacturing process. The manufacturing process for aircraft factory products comprises different phases; analyzing the components after the integration is labor-intensive and time-consuming, which often puts the company’s stake at high risk. To overcome these challenges, the proposed AI-based system can perform inspection and defect detection and alleviate the probability of components’ needing to be re-manufacturing after being assembled. In addition, it analyses the impact value, i.e., rework delays and costs, of manufacturing processes using a statistical process control tool on real-time data for various manufactured components. Defects are detected and classified using the CNN and teachable machine in the single manufacturing process during the initial stage prior to assembling the components. The results show the significance of the proposed approach in improving operational cost management and reducing rework-induced delays. Ground tests are conducted to calculate the impact value followed by the air tests of the final assembled aircraft. The statistical results indicate a 52.88% and 34.32% reduction in time delays and total cost, respectively. metadata Shafi, Imran and Mazhar, Muhammad Fawad and Fatima, Anum and Álvarez, Roberto Marcelo and Miró Vera, Yini Airet and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, roberto.alvarez@uneatlantico.es, yini.miro@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2023) Deep Learning-Based Real Time Defect Detection for Optimization of Aircraft Manufacturing and Control Performance. Drones, 7 (1). p. 31. ISSN 2504-446X

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Cerrado Inglés Given that it provides nourishment for more than half of humanity, rice is regarded as one of the most significant plants in the world in agriculture. The quantity and quality of the product may be impacted by diseases that can damage rice plants which can occasionally cause crop losses ranging from 30 to 60%. This manuscript proposed a Convolutional Neural Network (CNN) and Visual Geometry Group (VGG)19 i.e. CNN-VGG19 model with a transfer learning-based method for the precise identification and classification of rice leaf diseases. This scheme employs a transfer learning technique based on the VGG19 which can identify the brown spot class. The accuracy is 93.0% in the deployment of the dataset of rice leaf disease. The other parameters are sensitivity, specificity, precision and F1-score with 89.9%, 94.7%, 92.4% and 90.5% respectively. The developed technique obtained better results as compared to the existing baseline models. metadata Dogra, Roopali and Rani, Shalli and Singh, Aman and Albahar, Marwan Ali and Pascual Barrera, Alina Eugenia and Alkhayyat, Ahmed mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, alina.pascual@unini.edu.mx, UNSPECIFIED (2023) Deep learning model for detection of brown spot rice leaf disease with smart agriculture. Computers and Electrical Engineering, 109. p. 108659. ISSN 00457906

Article Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés This research aims to gather opinions from experts in the European tourism sector regarding training needs to address severe crises, such as Covid, in Small and Medium-Sized Enterprises (SMEs) across five countries: Spain, Iceland, Ireland, Scotland, and Germany. This study was conducted within the scope of the European TC-NAV project, which is funded by the European Union. The ultimate goal of this project is to develop training solutions for European SMEs Most existing literature on tourism crises primarily examines the impact on destinations as a whole rather than on individual tourism enterprises. Thus, this research is both relevant and timely The methodology employed was qualitative, and data being collected using a 9-question interview guide. This guide underwent validation by experts, achieving a Cronbach's Alpha value of 0.7. In total, 30 individuals were interviewed: 5 civil servants, 9 company directors, 5 university professors, 6 researchers, and 5 entrepreneurs. Some notable findings include the importance of innovation for change, promoting sustainable tourism, fostering informal partnerships among regional companies, the essential role of government support, the benefits of flexible planning and service digitisation, and the ongoing need for training and upskilling. metadata Soriano Flores, Emmanuel and Prola, Thomas and Halldórsdóttir, Íris Hrund Halldórsdóttir and Taylor, Steve mail emmanuel.soriano@uneatlantico.es, thomas.prola@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Diagnosing Training Needs in European Tourism SMEs: The TC-NAV Project for Managing and Overcoming Virulent Crises. Kurdish Studies, 11 (2). pp. 2011-2022. ISSN 2051-4883

Article Subjects > Biomedicine
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books Abierto Inglés The rise of life expectancy in current societies is not accompanied, to date, by a similar increase in healthspan, which represents a great socio-economic problem. It has been suggested that aging can be manipulated and then, the onset of all age-associated chronic disorders can be delayed because these pathologies share age as primary underlying risk factor. One of the most extended ideas is that aging is consequence of the accumulation of molecular damage. According to the oxidative damage theory, antioxidants should slow down aging, extending lifespan and healthspan. The present review analyzes studies evaluating the effect of dietary antioxidants on lifespan of different aging models and discusses the evidence on favor of their antioxidant activity as anti-aging mechanisms. Moreover, possible causes for differences between the reported results are evaluated. metadata Varela-López, Alfonso and Romero-Márquez, José M. and Navarro-Hortal, María D. and Ramirez-Tortosa, César L. and Battino, Maurizio and Forbes-Hernández, Tamara Y. and Quiles, José L. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, UNSPECIFIED, jose.quiles@uneatlantico.es (2023) Dietary antioxidants and lifespan: Relevance of environmental conditions, diet, and genotype of experimental models. Experimental Gerontology, 178. p. 112221. ISSN 05315565

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Español El objetivo del presente estudio es comparar el perfil de los estados de ánimo (EA) en jóvenes escolares que practican diferentes deportes extraescolares de manera federada respecto a escolares de Educación Primaria y Secundaria que no están federados. Seleccionándose un total de 329 sujetos (141 deportistas y 188 escolares no practicantes). Los EA se evaluaron mediante el cuestionario Profile of Moods States (POMS). La comparación se realizó en base al deporte practicado y en función de si eran deportistas federados o no federados. Los resultados muestran valores más elevados en la escala del vigor, así como diferencias significativas en las escalas depresión y fatiga entre los deportistas. Además, se observan diferencias entre no federados escolares para la depresión, hostilidad y tensión. Se concluye que los deportistas muestran valores que se asocian con el denominado perfil iceberg. metadata Fernández García, Javier and Cañada, Fernando Calahorro and Luque, Gema Torres mail javier.fernandez@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Diferencia del perfil de los estados de ánimo en jóvenes escolares que practican deporte extraescolar federado vs no federados (Difference in the profile of moods in young schoolchildren who practice federated extracurricular sports vs. schoolchildren). Retos, 47. pp. 738-743. ISSN 1579-1726

Book Section Subjects > Teaching Europe University of Atlantic > Research > Articles and books Abierto Inglés UNSPECIFIED metadata Bazaco Gómez, Carmelo and Quijano-Peña, Paula mail carmelo.bazaco@uneatlantico.es, paula.quijano@uneatlantico.es (2023) Discourse creation: translation technique or spanish film pattern. A case study. In: Nuevas teorías y aproximaciones a estudios sobre lengua, lingüística y traducción. Dykinson, Madrid, pp. 936-947. ISBN 9788411228305

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Español Las metodologías para el diseño y gestión de proyectos son cada vez más necesarias y aplicadas con mayor frecuencia en el sector público en Latinoamérica. Continuamente hay actualizaciones y nuevos enfoques en la gestión de proyectos de inversión, por lo que el estudio en las metodologías es relevante a nivel investigativo. El diseño de instrumentos de investigación confiables que sirvan para promover el uso de estas metodologías es importante para asegurar la calidad en el proceso. Por lo que el objetivo de este estudio es diseñar y validar un instrumento que permita recolectar y gestionar sistemáticamente información de proyectos para obtener las variables que permitan definir la metodología apropiada para cada organización, en este estudio se ha tomado como referencia en el sector público la Subsecretaría de Recursos Pesqueros (SRP) en Ecuador. El instrumento, toma como referencia la Norma International Organization for Standardization (ISO) 10006, la Guía de Fundamentos de Gestión de Proyectos, por su nombre en inglés Project Management Body of Knowledge (PMBOK), las Metodologías de Diseño de Proyectos de la Universidad Politécnica de Cataluña (MDP-UPC) y de la Secretaría Nacional de Planificación y Desarrollo (SENPLADES) del Ecuador. Como resultado, se desarrolló una encuesta, a cuyo instrumento se realizó la validación interna y externa en función de parámetros de confiabilidad, contenido y constructo. Se realizó análisis factorial para determinar variables utilizando sistema estadístico SPSS. Finalmente, se cuenta con la validación del instrumento diseñado asegurando que es confiable y cumple con los parámetros necesarios para obtener variables que definan la metodología para elaboración de proyectos en el sector público de Ecuador. metadata Bazurto Roldán, José Antonio and Álvarez, Roberto Marcelo and Miró Vera, Yini Airet and Brie, Santiago mail jose.bazurto@unini.org, roberto.alvarez@uneatlantico.es, yini.miro@uneatlantico.es, santiago.brie@uneatlantico.es (2023) Diseño y validación de un instrumento de investigación para proponer metodología de gestión de proyectos. Revista de Iniciación Científica, 9 (1). ISSN 2412-0464

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés Internet security is a major concern these days due to the increasing demand for information technology (IT)-based platforms and cloud computing. With its expansion, the Internet has been facing various types of attacks. Viruses, denial of service (DoS) attacks, distributed DoS (DDoS) attacks, code injection attacks, and spoofing are the most common types of attacks in the modern era. Due to the expansion of IT, the volume and severity of network attacks have been increasing lately. DoS and DDoS are the most frequently reported network traffic attacks. Traditional solutions such as intrusion detection systems and firewalls cannot detect complex DDoS and DoS attacks. With the integration of artificial intelligence-based machine learning and deep learning methods, several novel approaches have been presented for DoS and DDoS detection. In particular, deep learning models have played a crucial role in detecting DDoS attacks due to their exceptional performance. This study adopts deep learning models including recurrent neural network (RNN), long short-term memory (LSTM), and gradient recurrent unit (GRU) to detect DDoS attacks on the most recent dataset, CICDDoS2019, and a comparative analysis is conducted with the CICIDS2017 dataset. The comparative analysis contributes to the development of a competent and accurate method for detecting DDoS attacks with reduced execution time and complexity. The experimental results demonstrate that models perform equally well on the CICDDoS2019 dataset with an accuracy score of 0.99, but there is a difference in execution time, with GRU showing less execution time than those of RNN and LSTM. metadata Ramzan, Mahrukh and Shoaib, Muhammad and Altaf, Ayesha and Arshad, Shazia and Iqbal, Faiza and Kuc Castilla, Ángel Gabriel and Ashraf, Imran mail UNSPECIFIED (2023) Distributed Denial of Service Attack Detection in Network Traffic Using Deep Learning Algorithm. Sensors, 23 (20). p. 8642. ISSN 1424-8220

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Cerrado Inglés Aggressive behaviour is a common response in different contexts all around the world. General aggression theories, such as the frustration-aggression theory, try to explain this behaviour in any context. However, situational specificity could play a relevant role in this issue, so proneness to behave aggressively may depend more on the context than on a general root or personality trait. With the aim of shedding light in this field, the current research aimed to analyse the relationship between aggressive behaviour on the road and intimate relationships. A sample composed of 275 participants who had a driving license and lived with an intimate partner completed a set of self-reports regarding aggressive behaviour in both contexts. The results suggested a convergence in the way of expressing anger, except in the case of adaptive aggression. A SEM-based approach indicated that the measured aggressive variables fitted better in two highly correlated factors rather than a single one, suggesting the relevance of the situational specificity in the prediction of aggressive behaviour in both contexts. Practical implications regarding evaluation and intervention for aggression reduction are discussed, as well as the limitations of the current research. metadata Herrero-Fernández, David and Parada-Fernández, Pamela and Rodríguez-Arcos, Irene and Martín Ayala, Juan Luis and Castaño Castaño, Sergio mail david.herrero@uneatlantico.es, pamela.parada@uneatlantico.es, UNSPECIFIED, juan.martin@uneatlantico.es, sergio.castano@uneatlantico.es (2023) Do people drive as they live together? Associations between aggressive behaviour on the road and intimate relationships. Transportation Research Part F: Traffic Psychology and Behaviour, 95. pp. 251-260. ISSN 13698478

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Cerrado Inglés Morenas-Aguilar, MD, Ruiz-Alias, SA, Blanco, AM, Lago-Fuentes, C, García-Pinillos, F, and Pérez-Castilla, A. Does the menstrual cycle impact the maximal neuromuscular capacities of women? An analysis before and after a graded treadmill test to exhaustion. J Strength Cond Res 37(11): 2185–2191, 2023. This study explored the effect of the menstrual cycle (MC) on the maximal neuromuscular capacities of the lower-body muscles obtained before and after a graded exercise test conducted on a treadmill to exhaustion. Sixteen physically active women were tested at −11 ± 3, −5 ± 3, and 5 ± 3 days from the luteinizing peak for the early follicular, late follicular, and midluteal phases. In each session, the individualized load-velocity (L-V) relationship variables (load-axis intercept [L0], velocity-axis intercept [v0], and area under the L-V relationship line [Aline]) were obtained before and after a graded exercise test conducted on a treadmill to exhaustion using the 2-point method (3 countermovement jumps with a 0.5-kg barbell and 2 back squats against a load linked to a mean velocity of 0.55 m·second−1). At the beginning of each session, no significant differences were reported for L0 (p = 0.726; ES ≤ 0.18), v0 (p = 0.202; ES ≤ 0.37), and Aline (p = 0.429; ES ≤ 0.30) between the phases. The MC phase × time interaction did not reach statistical significance for any L-V relationship variable (p ≥ 0.073). A significant main effect of “time” was observed for L0 (p < 0.001; ES = −0.77) and Aline (p = 0.002; ES = −0.59) but not for v0 (p = 0.487; ES = 0.12). These data suggest that the lower-body maximal neuromuscular capacities obtained before and after a graded treadmill test are not significantly affected by MC, although there is a high variability in the individual response. metadata Morenas-Aguilar, María Dolores and Ruiz-Alias, Santiago A. and Blanco, Aitor Marcos and Lago-Fuentes, Carlos and García-Pinillos, Felipe and Pérez-Castilla, Alejandro mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carlos.lago@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Does the Menstrual Cycle Impact the Maximal Neuromuscular Capacities of Women? An Analysis Before and After a Graded Treadmill Test to Exhaustion. Journal of Strength and Conditioning Research, 37 (11). pp. 2185-2191. ISSN 1064-8011

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Traffic accidents present significant risks to human life, leading to a high number of fatalities and injuries. According to the World Health Organization’s 2022 worldwide status report on road safety, there were 27,582 deaths linked to traffic-related events, including 4448 fatalities at the collision scenes. Drunk driving is one of the leading causes contributing to the rising count of deadly accidents. Current methods to assess driver alcohol consumption are vulnerable to network risks, such as data corruption, identity theft, and man-in-the-middle attacks. In addition, these systems are subject to security restrictions that have been largely overlooked in earlier research focused on driver information. This study intends to develop a platform that combines the Internet of Things (IoT) with blockchain technology in order to address these concerns and improve the security of user data. In this work, we present a device- and blockchain-based dashboard solution for a centralized police monitoring account. The equipment is responsible for determining the driver’s impairment level by monitoring the driver’s blood alcohol concentration (BAC) and the stability of the vehicle. At predetermined times, integrated blockchain transactions are executed, transmitting data straight to the central police account. This eliminates the need for a central server, ensuring the immutability of data and the existence of blockchain transactions that are independent of any central authority. Our system delivers scalability, compatibility, and faster execution times by adopting this approach. Through comparative research, we have identified a significant increase in the need for security measures in relevant scenarios, highlighting the importance of our suggested model. metadata Farooq, Hamza and Altaf, Ayesha and Iqbal, Faiza and Castanedo Galán, Juan and Gavilanes Aray, Daniel and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juan.castanedo@uneatlantico.es, daniel.gavilanes@uneatlantico.es, UNSPECIFIED (2023) DrunkChain: Blockchain-Based IoT System for Preventing Drunk Driving-Related Traffic Accidents. Sensors, 23 (12). p. 5388. ISSN 1424-8220

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books Cerrado Inglés Despite the high economic costs associated with emotional disorders, relatively few studies have examined the variation in costs according to whether or not the patient has achieved a reliable recovery or not. The aim of this study was to explore differences in health care costs and productivity losses between primary care patients from a previous RCT—PsicAP— with emotional symptoms who achieved a reliable recovery versus and those who did not after transdiagnostic cognitive-behavioural therapy (TD-CBT) plus treatment as usual (TAU) or TAU alone. Sociodemographic and cost data were obtained for 134 participants treated at five primary care centres in Madrid for the 12-month post-treatment period. Reliable recovery rates were higher in the patients who received TD-CBT+TAU versus TAU alone (66% versus 34%; chi-square= 13.78; df=1; p< .001). Patients who did not achieve reliable recovery incurred in more costs, especially associated with GP consultations (t=3.01; df=132; p=.003), use of emergency departments (t= 2.20; df= 132; p=.030), total health care costs (t=2.01; df=132; p=.040), and sick leaves (t=1.97; df=132; p=.048). These findings underscore the societal importance of achieving a reliable recovery in patients with emotional disorders, and further support the value of adding TD-CBT to TAU in the primary care setting. metadata Barrio-Martínez, Sara and Ruiz-Rodríguez, Paloma and Adrián Medrano, Leonardo and Priede, Amador and Muñoz-Navarro, Roger and Antonio Moriana, Juan and Carpallo-González, María and Prieto-Vila, Maider and Cano-Vindel, Antonio and González-Blanch, César mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, cesar.gonzalezblanch@uneatlantico.es (2023) Effect of reliable recovery on health care costs and productivity losses in emotional disorders. Behavior Therapy. ISSN 00057894

Article Subjects > Engineering
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books Abierto Inglés The present study assessed the responses, in terms of vegetative, productive, qualitative, and nutritional features, of plants and berries of three remontant strawberry cultivars cultivated in soil and irrigated using three irrigation regimes: standard irrigation regime (W100), 20% (W80) less irrigation than the standard irrigation, and 40% (W60) less irrigation than the standard irrigation. The tested plants were “Albion”, “San Andreas”, and “Monterey”, which were cultivated in the east coast area of Marche, Italy. Specifically, the study examined the response of the genotype to irrigation deficit, highlighting the performance of the “Monterey” cultivar, which showed improvement in terms of fruit firmness, folate content, and antioxidant capacity at the W80 irrigation regime without a significant yield reduction. In all the cultivars, when irrigation was reduced by up to 20% of the standard irrigation regime (W100), there were no significant losses of yield or reduction in the fruits’ sensorial quality or antioxidant activity. The results showed that the standard irrigation regime (W100) commonly adopted by the farmers in the Marche area uses more water than necessary. With more accurate water management, it will be possible to save almost 226 m3 of water per hectare per cultivation cycle. metadata Marcellini, Micol and Raffaelli, Davide and Mazzoni, Luca and Pergolotti, Valeria and Balducci, Francesca and Armas Diaz, Yasmany and Mezzetti, Bruno and Capocasa, Franco mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, bruno.mezzetti@uneatlantico.es, UNSPECIFIED (2023) Effects of Different Irrigation Rates on Remontant Strawberry Cultivars Grown in Soil. Horticulturae, 9 (9). p. 1026. ISSN 2311-7524

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Abierto Inglés Extremely low-frequency electromagnetic fields (ELF-MF) can modify the cell viability and regulatory processes of some cell types, including breast cancer cells. Breast cancer is a multifactorial disease where a role for ELF-MF cannot be excluded. ELF-MF may influence the biological properties of breast cells through molecular mechanisms and signaling pathways that are still unclear. This study analyzed the changes in the cell viability, cellular morphology, oxidative stress response and alteration of proteomic profile in breast cancer cells (MDA-MB-231) exposed to ELF-MF (50 Hz, 1 mT for 4 h). Non-tumorigenic human breast cells (MCF-10A) were used as control cells. Exposed MDA-MB-231 breast cancer cells increased their viability and live cell number and showed a higher density and length of filopodia compared with the unexposed cells. In addition, ELF-MF induced an increase of the mitochondrial ROS levels and an alteration of mitochondrial morphology. Proteomic data analysis showed that ELF-MF altered the expression of 328 proteins in MDA-MB-231 cells and of 242 proteins in MCF-10A cells. Gene Ontology term enrichment analysis demonstrated that in both cell lines ELF-MF exposure up-regulated the genes enriched in “focal adhesion” and “mitochondrion”. The ELF-MF exposure decreased the adhesive properties of MDA-MB-231 cells and increased the migration and invasion cell abilities. At the same time, proteomic analysis, confirmed by Real Time PCR, revealed that transcription factors associated with cellular reprogramming were upregulated in MDA-MB-231 cells and downregulated in MCF-10A cells after ELF-MF exposure. MDA-MB-231 breast cancer cells exposed to 1 mT 50 Hz ELF-MF showed modifications in proteomic profile together with changes in cell viability, cellular morphology, oxidative stress response, adhesion, migration and invasion cell abilities. The main signaling pathways involved were relative to focal adhesion, mitochondrion and cellular reprogramming. metadata Lazzarini, Raffaella and Elexpuru Zabaleta, Maria and Piva, Francesco and Giulietti, Matteo and Fulgenzi, Gianluca and Tartaglione, Maria Fiorella and Zingaretti, Laura and Tagliabracci, Adriano and Valentino, Matteo and Santarelli, Lory and Bracci, Massimo mail UNSPECIFIED, maria.elexpuru@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Effects of extremely low-frequency magnetic fields on human MDA-MB-231 breast cancer cells: proteomic characterization. Ecotoxicology and Environmental Safety, 253. p. 114650. ISSN 01476513

Article Subjects > Teaching Europe University of Atlantic > Research > Articles and books Abierto Español En este artículo se reflexiona sobre la relevancia de la comunicación y competencias orales mediante unas prácticas de aula llevadas a cabo en una clase de español como lengua extranjera en un contexto universitario entre un centro educativo de París y otro de Santander. Mediante la aplicación de estas actividades con el uso de videograbaciones y videollamadas se observaron conductas positivas entre el alumnado, quien puso en práctica una serie de competencias asociadas a la lengua oral. Las actividades únicamente se pusieron en práctica en una única ocasión, aunque una aplicación continuada podría suponer una mejora significativa de competencias orales. metadata Sánchez-Bejerano, Lucía mail lucia.sanchez@uneatlantico.es (2023) El uso de la videograbación y la videollamada para la enseñanza de español como lengua extranjera. Doblele. Revista de lengua y literatura, 9. pp. 174-184. ISSN 2462-3733

Article Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books Abierto Español El presente estudio muestra una investigación realizada en la Universidad Europea del Atlántico, Santander, en la que se perseguía realizar una propuesta de mejora para el trabajo de la comprensión lectora en la asignatura de Inglés Instrumental II. Esta propuesta tenía que recoger estrategias de lectura y el uso de organizadores visuales textuales. Para ello se analizaron 11 lecturas del libro de texto Macmillan Hub B1+/B2- y se complementaron las actividades con un entrenamiento en estrategias de lectura y el uso de un organizador textual específico según la necesidad del texto. Para la aplicación se valoró por un lado el desempeño previo y posterior en comprensión lectora y el desempeño de 5 actividades de evaluación continua en comprensión de textos. La muestra del estudio, n=57, fueron estudiantes de segundo curso del Grado en Ciencias de la Actividad Física y el Deporte y el Grado en Psicología, divididos en Grupo Experimental, GE, (n=31) y Grupo de Control, GC, (n=26). Los resultados mostraron diferencias significativas de hasta 2.8 puntos sobre 10 en el caso del GE respecto al de control. Por tanto, se considera que el uso de estrategias de lectura combinadas con el entrenamiento en el uso de organizadores visuales del texto contribuye a una mejora en la comprensión lectora. metadata Sánchez-Bejerano, Lucía and Pérez Fernández, Lucila María and Griffin, Kim Lori mail lucia.sanchez@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) El uso de organizadores textuales para comprensión lectora en lengua meta, una experiencia durante la pandemia por la Covid-19. Educatio Siglo XXI, 41 (1). pp. 55-84.

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Vanadium (V) is a trace mineral whose biological activity, role as a micronutrient, and pharmacotherapeutic applications remain unknown. Over the last years, interest in V has increased due to its potential use as an antidiabetic agent mediated by its ability to improve glycemic metabolism. However, some toxicological aspects limit its potential therapeutic application. The present study aims to evaluate the effect of the co-treatment with copper (Cu) and bis(maltolato)oxovanadium(IV) (BMOV) as a possible strategy to reduce the toxicity of BMOV. Treating hepatic cells with BMOV reduced cell viability under the present conditions, but cell viability was corrected when cells were co-incubated with BMOV and Cu. Additionally, the effect of these two minerals on nuclear and mitochondrial DNA was evaluated. Co-treatment with both metals reduced the nuclear damage caused by BMOV. Moreover, treatment with these two metals simultaneously tended to reduce the ND1/ND4 deletion of the mitochondrial DNA produced with the treatment using BMOV alone. In conclusion, these results showed that combining Cu and V could effectively reduce the toxicity associated with V and enhance its potential therapeutic applications. metadata Rivas-García, Lorenzo and López-Varela, Alfonso and Quiles, José L. and Montes-Bayón, María and Aranda, Pilar and Llopis, Juan and Sánchez-González, Cristina mail UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Elucidating the Therapeutic Potential of Bis(Maltolato)OxoVanadium(IV): The Protective Role of Copper in Cellular Metabolism. International Journal of Molecular Sciences, 24 (11). p. 9367. ISSN 1422-0067

Article Subjects > Teaching
Subjects > Comunication
Subjects > Psychology
Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Communication professionals are experiencing a growing level of exposure to traumatic events as a result of their involvement in the coverage of various tragedies, including accidents, climatic disasters, rights violations, and acts of terrorism. However, it is worth noting that journalism and communication university courses often lack comprehensive instruction on effectively managing emotional challenges, anxiety, trauma, self-care, and the prevention of vicarious trauma. The objective of this study is to assess the inclusion of emotional management within the curricula of Journalism and Communication programmes offered by two universities in Catalonia, namely the University of Barcelona and the Autonomous University of Barcelona. In order to accomplish this objective, a series of semi-structured interviews were carried out with a total of twelve (12) professors who specialise in the fields of Journalism and Communication. Additionally, a thorough analysis was conducted on a set of 97 study plan guides. The results indicate that none of the participants in the interviews possess knowledge regarding any existing training programmes focused on emotional management. Furthermore, they unanimously agree on the importance of implementing such courses. The study plans did not include any subjects that were specifically dedicated to the topic of emotional management. This study presents a set of strategies aimed at creating a cross-disciplinary teaching-learning model that offers a comprehensive educational experience for students. This entails integrating precise subject matter on the previously mentioned topics, fostering critical contemplation and discourse regarding emotions within the educational setting, and advocating for ethical and sound professional behaviours. metadata Escudero, Carolina and Prola, Thomas and Fraga, Leticia and Soriano Flores, Emmanuel mail UNSPECIFIED, thomas.prola@uneatlantico.es, leticia.fraga@uneatlantico.es, emmanuel.soriano@uneatlantico.es (2023) Emotional Management in Journalism and Communication Studies. Social Space, 23 (2). pp. 507-534.

Article Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books Abierto Inglés The capital structure has been extensively analysed in the empirical literature. Despite of the great contribution of the technological industry to the global economy, little research has been conducted regarding corporate finance of ICT firms. Moreover, the previous literature barely considers the effect of macroeconomic variables on financial decisions, focusing much more on internal determinants, such as cash flow, firm’s size or growth opportunities. The objective of this work is to reduce this gap by disentangling the reasons behind the financial decisions of technological firms. The sample included 1,510 public ICT firms from 23 countries over the period 2004 – 2019 (17,342 observations). The variables used in this study are obtained from S&P Capital IQ, World Development Indicators, Main Science and Technology Indicators from OECD, and FMI dataset. The two-step system generalized method of moments (GMM) was used as methodology. Consistent with the extant literature, more profitable and liquid ICT firms and those with an increased non-debt tax shields are less leveraged. However, the companies which present higher risk, measured as volatility of EBIT, increase their use of debt financing. Contrary to the findings of many other studies, the analysis of a firm’s size and tangible assets shows non-conclusive results. Regarding macroeconomic determinants, only economic growth and foreign direct investment inflows were found to generate a positive effect on financial decisions of ICT firms. The findings of this work can be used to design and develop policies, measures, and facilitate mechanisms for optimal management of the financing decisions of ICT firms. metadata Alexeeva-Alexeev, Inna mail inna.alexeeva@uneatlantico.es (2023) The Empirical Study of the Impact of Firm-and Country-level Factors on Debt Financing Decisions of ICT Firms. Scientific Annals of Economics and Business, 70. pp. 55-84.

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés A novel approach is presented in this study for the classification of lower limb disorders, with a specific emphasis on the knee, hip, and ankle. The research employs gait analysis and the extraction of PoseNet features from video data in order to effectively identify and categorize these disorders. The PoseNet algorithm facilitates the extraction of key body joint movements and positions from videos in a non-invasive and user-friendly manner, thereby offering a comprehensive representation of lower limb movements. The features that are extracted are subsequently standardized and employed as inputs for a range of machine learning algorithms, such as Random Forest, Extra Tree Classifier, Multilayer Perceptron, Artificial Neural Networks, and Convolutional Neural Networks. The models undergo training and testing processes using a dataset consisting of 174 real patients and normal individuals collected at the Tehsil Headquarter Hospital Sadiq Abad. The evaluation of their performance is conducted through the utilization of K-fold cross-validation. The findings exhibit a notable level of accuracy and precision in the classification of various lower limb disorders. Notably, the Artificial Neural Networks model achieves the highest accuracy rate of 98.84%. The proposed methodology exhibits potential in enhancing the diagnosis and treatment planning of lower limb disorders. It presents a non-invasive and efficient method of analyzing gait patterns and identifying particular conditions. metadata Siddiqui, Hafeez Ur Rehman and Saleem, Adil Ali and Raza, Muhammad Amjad and Gracia Villar, Santos and Dzul Lopez, Luis and Diez, Isabel de la Torre and Rustam, Furqan and Dudley, Sandra mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, luis.dzul@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Empowering Lower Limb Disorder Identification through PoseNet and Artificial Intelligence. Diagnostics, 13 (18). p. 2881. ISSN 2075-4418

Book Section Subjects > Teaching Europe University of Atlantic > Research > Articles and books Abierto Español UNSPECIFIED metadata Alexeeva-Alexeev, Inna and Mazas Pérez-Oleaga, Cristina and Sámano Celorio, María Luisa mail inna.alexeeva@uneatlantico.es, cristina.mazas@uneatlantico.es, marialuisa.samano@uneatlantico.es (2023) Emprendimiento basado en el liderazgo: diagnóstico de las habilidades de liderazgo entre los estudiantes universitarios. In: Nuevas tendencias en gestión e innovación empresarial. Adaptación a los nuevos escenarios globales y domésticos. Conocimiento Contemporáneo . Dykinson, Madrid, pp. 193-218. ISBN 9788411229241

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Cricket has a massive global following and is ranked as the second most popular sport globally, with an estimated 2.5 billion fans. Batting requires quick decisions based on ball speed, trajectory, fielder positions, etc. Recently, computer vision and machine learning techniques have gained attention as potential tools to predict cricket strokes played by batters. This study presents a cutting-edge approach to predicting batsman strokes using computer vision and machine learning. The study analyzes eight strokes: pull, cut, cover drive, straight drive, backfoot punch, on drive, flick, and sweep. The study uses the MediaPipe library to extract features from videos and several machine learning and deep learning algorithms, including random forest (RF), support vector machine, k-nearest neighbors, decision tree, linear regression, and long short-term memory to predict the strokes. The study achieves an outstanding accuracy of 99.77% using the RF algorithm, outperforming the other algorithms used in the study. The k-fold validation of the RF model is 95.0% with a standard deviation of 0.07, highlighting the potential of computer vision and machine learning techniques for predicting batsman strokes in cricket. The study’s results could help improve coaching techniques and enhance batsmen’s performance in cricket, ultimately improving the game’s overall quality. metadata Siddiqui, Hafeez Ur Rehman and Younas, Faizan and Rustam, Furqan and Soriano Flores, Emmanuel and Brito Ballester, Julién and Diez, Isabel de la Torre and Dudley, Sandra and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, emmanuel.soriano@uneatlantico.es, julien.brito@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Enhancing Cricket Performance Analysis with Human Pose Estimation and Machine Learning. Sensors, 23 (15). p. 6839. ISSN 1424-8220

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Classification is a commonly used technique in data mining and is applied in various fields such as sentiment analysis, fraud detection, and fault diagnosis. Multiclass classification, which involves more than two classes, is more complex than binary classification. There are mainly two ways to approach multiclass classification, one is to expand the binary classifier into a multiclass classifier through various strategies and the other is to divide the multiclass classification problem into multiple binary problems (binarization). Two popular approaches for binarization are One vs One (OvO) and One vs All (OvA). It is simpler to aggregate the outputs of all binary classifiers as the number of classifiers decreases. However, it causes an imbalance of positive and negative sample numbers, which affects the classification effect of each binary classifier. In this article, we contribute to the field of ensemble learning and multi-class classification by proposing a new method called Ensemble Partition Sampling (EPS). This article presents a new approach to multiclass classification using an "Ensemble Partition Sampling" method within the "one-vs-all" (OvA) framework. The primary goal of this method is to tackle the problem of data imbalance by incorporating ensemble learning and preprocessing techniques into each binary dataset. The study found that Ensemble Partition Sampling (EPS) is the most effective method for imbalanced and multiclass imbalanced classification, outperforming other methods including OvA, SMOTE, k-means-SMOTE, Bagging-RB, DES-MI, OvO-EASY, and OvO-SMB. The study used CART, Random Forest, and SVM as classifiers, and the results consistently showed that EPS outperformed all other algorithms. The findings suggest that EPS is a highly effective method for improving classification performance in imbalanced and multiclass imbalanced datasets. metadata Jabir, Brahim and Díez, Isabel De la Torre and Bautista Thompson, Ernesto and Ramírez-Vargas, Debora L. and Kuc Castilla, Ángel Gabriel mail UNSPECIFIED (2023) Ensemble Partition Sampling (EPS) for Improved Multi-Class Classification. IEEE Access. p. 1. ISSN 2169-3536

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Español El objetivo principal de esta revisión fue evaluar la eficacia de un programa de ejercicio físico (EF) en pacientes con cáncer de mama (CM) y sus efectos sobre la calidad de vida, la fatiga percibida, la depresión y la condición física. Se realizó una búsqueda sistemática, basada en las directrices PRISMA, utilizando tres bases de datos diferentes: Medline, Pubmed y Google Académico. Los criterios de inclusión fueron; adultos (>18 años), pacientes con CM durante la terapia adyuvante, intervenciones de EF con el efecto de influir en la calidad de vida, la fatiga y la condición física. Así mismo, los criterios de exclusión fueron; realizar la intervención de EF después de la enfermedad, artículos publicados antes del 2010 o en idiomas que no fueran inglés, castellano y/o francés. Los resultados incluyeron cinco artículos para la revisión y todos los estudios mostraron mejoras en la calidad de vida, la condición física y/o en la composición corporal, además de en la percepción de fatiga percibida y de la depresión. Se puede llegar a la conclusión de que las incorporaciones complementarias de programas de EF sistematizado durante la terapia adyuvante a mujeres con CM ofrece tanto mejoras en la calidad de vida, como en la condición física y una disminución de la fatiga y la depresión, sea cual sea el tipo de programa de entrenamiento (resistencia, fuerza o combinación de ambas). metadata Santiago García, Marta Victoria and Charda Colina, Andrea and Pulgar, Susana mail UNSPECIFIED, UNSPECIFIED, susana.pulgar@uneatlantico.es (2023) Evaluación de los efectos del ejercicio físico en pacientes con cáncer de mama: una revisión sistemática. MLS Sport Research, 3 (1). ISSN 2792-7156

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Biofilms are associated with infections that are resistant to conventional therapies, contributing to the antimicrobial resistance crisis. The need for alternative approaches against biofilms is well-known. Although natural products like stingless bee honeys (tribe: Meliponini) constitute an alternative treatment, much is still unknown. Our main goal was to evaluate the antibiofilm activity of stingless bee honey samples against multidrug-resistant (MDR) pathogens through biomass assays, fluorescence (cell count and viability), and scanning electron (structural composition) microscopy. We analyzed thirty-five honey samples at 15% (v/v) produced by ten different stingless bee species (Cephalotrigona sp., Melipona sp., M. cramptoni, M. fuscopilosa, M. grandis, M. indecisa, M. mimetica, M. nigrifacies, Scaptotrigona problanca, and Tetragonisca angustula) from five provinces of Ecuador (Tungurahua, Pastaza, El Oro, Los Ríos, and Loja) against 24-h biofilms of Staphylococcus aureus, Klebsiella pneumoniae, Candida albicans, and Candida tropicalis. The present honey set belonged to our previous study, where the samples were collected in 2018–2019 and their physicochemical parameters, chemical composition, mineral elements, and minimal inhibitory concentration (MIC) were screened. However, the polyphenolic profile and their antibiofilm activity on susceptible and multidrug-resistant pathogens were still unknown. According to polyphenolic profile of the honey samples, significant differences were observed according to their geographical origin in terms of the qualitative profiles. The five best honey samples (OR24.1, LR34, LO40, LO48, and LO53) belonging to S. problanca, Melipona sp., and M. indecisa were selected for further analysis due to their high biomass reduction values, identification of the stingless bee specimens, and previously reported physicochemical parameters. This subset of honey samples showed a range of 63–80% biofilm inhibition through biomass assays. Fluorescence microscopy (FM) analysis evidenced statistical log reduction in the cell count of honey-treated samples in all pathogens (P <0.05), except for S. aureus ATCC 25923. Concerning cell viability, C. tropicalis, K. pneumoniae ATCC 33495, and K. pneumoniae KPC significantly decreased (P <0.01) by 21.67, 25.69, and 45.62%, respectively. Finally, scanning electron microscopy (SEM) analysis demonstrated structural biofilm disruption through cell morphological parameters (such as area, size, and form). In relation to their polyphenolic profile, medioresinol was only found in the honey of Loja, while scopoletin, kaempferol, and quercetin were only identified in honey of Los Rios, and dihydrocaffeic and dihydroxyphenylacetic acids were only detected in honey of El Oro. All the five honey samples showed dihydrocoumaroylhexose, luteolin, and kaempferol rutinoside. To the authors’ best knowledge, this is the first study to analyze stingless bees honey-treated biofilms of susceptible and/or MDR strains of S. aureus, K. pneumoniae, and Candida species. metadata Cabezas-Mera, Fausto Sebastián and Atiencia-Carrera, María Belén and Villacrés-Granda, Irina and Proaño, Adrian Alexander and Debut, Alexis and Vizuete, Karla and Herrero-Bayo, Lorena and Gonzalez-Paramás, Ana M. and Giampieri, Francesca and Abreu-Naranjo, Reinier and Tejera, Eduardo and Álvarez-Suarez, José M. and Machado, António mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Evaluation of the polyphenolic profile of native Ecuadorian stingless bee honeys (Tribe: Meliponini) and their antibiofilm activity on susceptible and multidrug-resistant pathogens: An exploratory analysis. Current Research in Food Science, 7. p. 100543. ISSN 26659271

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books Abierto Inglés In this research, a neural network (NN) model for metal price forecasting based on an evolutionary approach is proposed. Both the neural network model’s network parameters and network architecture are selected automatically. The time series metal price data set is used to construct a novel fitness function that takes into account both error minimizations and the reproduction of the auto-correlation function. Calculating the average entropy values allowed the selection of the input parameter count for the neural network model. Gold price forecasting was performed using the proposed methodology. The optimal hidden node number, learning rate, and momentum are 9, 0.026, and 0.76, respectively, according to the evolutionary-based NN model. The proposed strategy is shown to reduce estimation error while also reproducing the auto-correlation function of the time series data set by the validation results with gold price data. The performance of the proposed method is better than other current methods, according to a comparison study. metadata Joshi, Devendra and Chithaluru, Premkumar and Anand, Divya and Hajjej, Fahima and Aggarwal, Kapil and Yélamos Torres, Vanessa and Bautista Thompson, Ernesto mail UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, vanessa.yelamos@funiber.org, ernesto.bautista@unini.edu.mx (2023) An Evolutionary Technique for Building Neural Network Models for Predicting Metal Prices. Mathematics, 11 (7). p. 1675. ISSN 2227-7390

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés The leaves of the olive tree (Olea europaea L.) are one of the major solid wastes from the olive industry. Globally, the European Union is the largest producer of olive by-products, with Spain, Italy, Greece, and Portugal accounting for almost the entire production. Many questions remain to be solved concerning olive leaves (OL), including those related to possible differences in composition and/or biological activities depending on their geographical origin. In the present work, OL from Spain, Italy, Greece, and Portugal have been characterized according to their phytochemical profile, antioxidant capacity, neuroprotective activity, and anti-inflammatory effects. The Spanish and Italian OL samples presented the highest antioxidant and neuroprotective activities, while the Greek OL showed the lowest. These results were strongly associated with the content of oleoside methyl ester and p-hydroxybenzoic acid for the Spanish and Italian samples, respectively, whereas the content of decarboxymethyl elenolic acid dialdehyde form (hydrated) was negatively associated with the mentioned biological activities of the Greek samples. No country-related effect was observed in the anti-inflammatory activity of OL. Comprehensively, this work could provide a useful tool for manufacturers and R&D departments in making environmentally friendly decisions on how OL can be used to generate nutraceutical products based on the composition and origin of this by-product. metadata Romero-Márquez, Jose M. and Navarro-Hortal, María D. and Forbes-Hernández, Tamara Y. and Varela-López, Alfonso and Puentes, Juan G. and Pino-García, Raquel Del and Sánchez-González, Cristina and Elío Pascual, Iñaki and Battino, Maurizio and García, Roberto and Sánchez, Sebastián and Quiles, José L. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, inaki.elio@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es (2023) Exploring the Antioxidant, Neuroprotective, and Anti-Inflammatory Potential of Olive Leaf Extracts from Spain, Portugal, Greece, and Italy. Antioxidants, 12 (8). p. 1538. ISSN 2076-3921

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Ocimum is considered the largest genus in the Lamiacea family. The genus includes basil, a group of aromatic plants with a wide range of culinary uses that nowadays draws attention for its medicinal and pharmaceutical potential. This systematic review intends to explore the chemical composition of nonessential oils and their variation across different Ocimum species. Moreover, we aimed to identify the state of knowledge regarding the molecular space in this genus as well as the different methods of extraction/identification and geographical location. Seventy-nine eligible articles were selected for the final analysis, from which we extracted more than 300 molecules. We found that the countries with the highest number of studies into Ocimum species are India, Nigeria, Brazil, and Egypt. However, from all known species of Ocimum, only 12 were found to have an extensive chemical characterization, particularly Ocimum basilicum and Ocimum tenuiflorum. Our study focused especially on alcoholic, hydroalcoholic, and water extracts, in which the main techniques for compound identifications are GC-MS, LC-MS, and LC-UV. Across the compiled molecules, we found a wide variety of compounds, especially flavonoids, phenolic acids, and terpenoids, suggesting that this genus could be a very useful source of possible bioactive compounds. The information collected in this review also emphasizes the huge gap between the vast number of Ocimum species discovered and the number of studies in each of them that determined the chemical characterization. metadata Beltrán-Noboa, Andrea and Jordan-Álvarez, Alejandro and Guevara-Terán, Mabel and Gallo, Blanca and Berrueta, Luis A. and Giampieri, Francesca and Battino, Maurizio and Álvarez-Suarez, José M. and Tejera, Eduardo mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Exploring the Chemistry of Ocimum Species under Specific Extractions and Chromatographic Methods: A Systematic Review. ACS Omega. ISSN 2470-1343

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés A new artificial intelligence-based approach is proposed by developing a deep learning (DL) model for identifying the people who violate the face mask protocol in public places. To achieve this goal, a private dataset was created, including different face images with and without masks. The proposed model was trained to detect face masks from real-time surveillance videos. The proposed face mask detection (FMDNet) model achieved a promising detection of 99.0% in terms of accuracy for identifying violations (no face mask) in public places. The model presented a better detection capability compared to other recent DL models such as FSA-Net, MobileNet V2, and ResNet by 24.03%, 5.0%, and 24.10%, respectively. Meanwhile, the model is lightweight and had a confidence score of 99.0% in a resource-constrained environment. The model can perform the detection task in real-time environments at 41.72 frames per second (FPS). Thus, the developed model can be applicable and useful for governments to maintain the rules of the SOP protocol. metadata Benifa, J. V. Bibal and Chola, Channabasava and Muaad, Abdullah Y. and Hayat, Mohd Ammar Bin and Bin Heyat, Md Belal and Mehrotra, Rajat and Akhtar, Faijan and Hussein, Hany S. and Ramírez-Vargas, Debora L. and Kuc Castilla, Ángel Gabriel and Díez, Isabel de la Torre and Khan, Salabat mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, debora.ramirez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) FMDNet: An Efficient System for Face Mask Detection Based on Lightweight Model during COVID-19 Pandemic in Public Areas. Sensors, 23 (13). p. 6090. ISSN 1424-8220

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books Abierto Inglés Background Although health public services recommend prevention strategies for COVID-19 some of these recommendations have not been taken seriously by young people. Understanding why some people comply with these recommendations and others do not seem to be crucial in helping public health services to predict behavior and compliance with rules, especially for young people. Previous studies suggest that knowledge, attitudes, and practices (KAP) are useful to assess compliance with the preventive measures and public health policies. Being afraid has also been found to correlate with more engagement with preventive measures. This study aims to assess the KAP and fear of COVID-19 of Spanish university students and to understand the relation between diagnosis, KAP and the level of fear. Method Participants of this cross-sectional study were 598 college students (69.4% women) from different Spanish Universities. Data were collected for a month using an online questionnaire through Sphinx iQ2. Results Levels of KAP among Spanish students were satisfactory and results suggest the presence of fear among them. More importantly, fear of COVID-19 mediated the impact of the diagnosis on the KAP. Conclusions Feeling fear seems to be the mechanism underlying the relationship between diagnosis and KAP. Diagnosis is associated with KAP when the diagnosis it is accompanied by measures of fear. KAP, diagnosis, or perceived fear of COVID must be taken together in consideration for health interventions and public health campaigns design. metadata Cancela, Ana and González-Noriega, Mar and Visiers, Ana mail UNSPECIFIED, UNSPECIFIED, ana.visiers@uneatlantico.es (2023) Fear of COVID-19: the mediation role between the COVID-19 diagnosis and KAP in Spanish university students. BMC Public Health, 23 (1). ISSN 1471-2458

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Epidemiological studies have shown that eating fish significantly reduces cardiovascular disease (CVD) incidence and mortality. However, more focused meta-analyses based on the most recent results from prospective cohort studies are needed. This systematic review and meta-analysis aims to update the association between fish intake and cardiovascular disease (CVD) risk using recent prospective studies. A systematic review and meta-analysis following the PRISMA guideline was conducted based on a random effects synthesis of multivariable-adjusted relative risks (RRs) of high vs. low categories of fish intake in relation to CVD incidence and mortality. Non-linear meta-regression was applied to investigate the shape of the association between fish intake and CVD risk. Sensitivity analysis and stratifications by type of CVD outcome, type of fish intake and type of cooking were performed. Based on 18 papers reporting 17 independent estimates of CVD risk (1,442,407 participants and 78,805 fatal and non-fatal CVD events), high vs. low intake of fish corresponded to about 8% reduced CVD risk (RR = 0.93 [0.88–0.98]). According to a non-linear dose–response meta-regression, 50 g of fish intake per day corresponded to a statistically significant 9% reduced fatal and non-fatal CVD risk (RR = 0.92 [0.90–0.95]). Similarly, fish intake in the range of a weekly intake of two to three portions of fish with a size of 150 g resulted in 8% fatal and non-fatal CVD risk reduction (RR = 0.93 [0.91–0.96]). The recommended two portions of fish a week reduces the risk of CVD outcomes by approximately 10%. A full portion of fish a day reduces CVD risk by up to 30%. metadata Ricci, Hannah and Gaeta, Maddalena and Franchi, Carlotta and Poli, Andrea and Battino, Maurizio and Dolci, Alberto and Schmid, Daniela and Ricci, Cristian mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Fish Intake in Relation to Fatal and Non-Fatal Cardiovascular Risk: A Systematic Review and Meta-Analysis of Cohort Studies. Nutrients, 15 (21). p. 4539. ISSN 2072-6643

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Food knowledge (FK) is one of the factors that contribute to malnutrition conditions in developing countries, together with food safety, food security and food access. FK is defined as ‘the competence to understand healthy nutrition concepts’; it impacts individuals’ life due to its relationship with food behaviour and eating habits. Therefore, acting on FK can represent a starting point for improving the health status of vulnerable populations. The authors present a total score of an FK questionnaire (FKQ) and its relation to the socio-demographic characteristics of a specific target population: Tanzanian women of childbearing age. The results of the manuscript complement evidence of construct validity of the FKQ by providing an algorithm to compute a total score as a measure of FK. The strength of this tool, and its score, lies in the fact that the questionnaire has been validated and is easy to administer. metadata Conti, Maria Vittoria and Gnesi, Marco and Mshanga, Naelijwa and De Giuseppe, Rachele and Giampieri, Francesca and Cena, Hellas mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED (2023) Food knowledge level among Tanzanian women of childbearing age: developing a score for the food knowledge questionnaire. Journal of Nutritional Science, 12. ISSN 2048-6790

Article Subjects > Engineering
Subjects > Teaching
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The purpose of this research article was to contrast the benefits of the optimal probability threshold adjustment technique with other imbalanced data processing techniques, in its application to the prediction of post-graduate students’ late dropout from distance learning courses in two universities in the Ibero-American space. In this context, the optimization of the Logistic Regression, Random Forest, and Neural Network classifiers, together with different techniques, attributes, and algorithms (Hyperparameters, SMOTE, SMOTE_SVM, and ADASYN) resulted in a set of metrics for decision-making, prioritizing the reduction of false negatives. The best model was the Neural Network model in combination with SMOTE_SVM, obtaining a recall index of 0.75 and an f1-Score of 0.60. Likewise, the robustness of the Random Forest classifier for imbalanced data was demonstrated by achieving, with an optimal threshold of 0.427, very similar metrics to those obtained by the consensus of the three best models found. This demonstrates that, for Random Forest, the optimal prediction probability threshold is an excellent alternative to resampling techniques with different optimal thresholds. Finally, it is hoped that this research paper will contribute to boost the application of this simple but powerful technique, which is highly underrated with respect to data resampling techniques for imbalanced data. metadata Rodríguez Velasco, Carmen Lilí and García Villena, Eduardo and Brito Ballester, Julién and Durántez Prados, Frigdiano Álvaro and Silva Alvarado, Eduardo René and Crespo Álvarez, Jorge mail carmen.rodriguez@uneatlantico.es, eduardo.garcia@uneatlantico.es, julien.brito@uneatlantico.es, durantez@uneatlantico.es, eduardo.silva@funiber.org, jorge.crespo@uneatlantico.es (2023) Forecasting of Post-Graduate Students’ Late Dropout Based on the Optimal Probability Threshold Adjustment Technique for Imbalanced Data. International Journal of Emerging Technologies in Learning (iJET), 18 (04). pp. 120-155. ISSN 1863-0383

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés In the Internet of things (IoT), data packets are accumulated and disseminated across IoT devices without human intervention, therefore the privacy and security of sensitive data during transmission are crucial. For this purpose, multiple routing techniques exist to ensure security and privacy in IoT Systems. One such technique is the routing protocol for low power and lossy networks (RPL) which is an IPv6 protocol commonly used for routing in IoT systems. Formal modeling of an IoT system can validate the reliability, accuracy, and consistency of the system. This paper presents the formal modeling of RPL protocol and the analysis of its security schemes using colored Petri nets that applies formal validation and verification for both the secure and non-secure modes of RPL protocol. The proposed approach can also be useful for formal modeling-based verification of the security of the other communication protocols. metadata Balfaqih, Mohammed and Ahmad, Farooq and Chaudhry, Muhammad Tayyab and Jamal, Muhammad Hasan and Sohail, Muhammad Amar and Gavilanes Aray, Daniel and Masías Vergara, Manuel and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, daniel.gavilanes@uneatlantico.es, manuel.masias@uneatlantico.es, UNSPECIFIED (2023) Formal modeling and analysis of security schemes of RPL protocol using colored Petri nets. PLOS ONE, 18 (8). e0285700. ISSN 1932-6203

Article Subjects > Engineering
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books Abierto Inglés Nitrogen plays a vital role in plants’ biochemical and physiological functions, and it contributes significantly to increasing plant yield and fruit quality. Plants that efficiently absorb and utilize nitrogen enhance the efficiency of fertilizers, reducing their input costs and preventing ecosystem damage. Thus, an adequate nitrogen supply can significantly improve plant growth, fruit quality, and nutritional value. This research focused on evaluating the plant vegetative and productive performance and fruit quality of three short-day strawberry genotypes (“Cristina”, “Romina”, and “Sibilla”) that were fertilized with different amounts of nitrogen, in a crop that was protected under a plastic tunnel. The trial was conducted during two cultivation cycles. The nitrogen rates were 113, 90, and 68 kg/ha for the first year, and 118, 97, and 76 kg/ha for the second. Reduced nitrogen inputs did not significantly affect plant height, indicating that decreased nutritional intake does not harm plant development. The fruit sugar content value remained stable across all nitrogen supplies, as did the fruit titratable acidity. The cultivars maintained a medium fruit firmness at a 60% nitrogen supply, and the Chroma index was not affected. This study found that reducing nitrogen inputs did not have a significant negative impact on the three tested cultivars, making them suitable for cultivation with reduced nitrogen inputs to reduce the environmental impact and save growers’ inputs. metadata Marcellini, Micol and Raffaelli, Davide and Pergolotti, Valeria and Balducci, Francesca and Marcellini, Mirco and Capocasa, Franco and Mezzetti, Bruno and Mazzoni, Luca mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, bruno.mezzetti@uneatlantico.es, UNSPECIFIED (2023) Growth and Yield of Strawberry Cultivars under Low Nitrogen Supply in Italy. Horticulturae, 9 (11). p. 1165. ISSN 2311-7524

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Cerrado Inglés Saponins, consisting of sapogenins as their aglycones and carbohydrate chains, are widely found in plants and some marine organisms. Due to the complexity of the structure of saponins, involving different types of sapogenins and sugar moieties, investigation of their absorption and metabolism is limited, which further hinders the explanation of their bioactivities. Large molecular weight and complex structures limit the direct absorption of saponins rendering their low bioavailability. As such, their major modes of action may be due to interaction with the gastrointestinal environment, such as enzymes and nutrients, and interaction with the gut microbiota. Many studies have reported the interaction between saponins and gut microbiota, that is, the effects of saponins on changing the composition of gut microbiota, and gut microbiota playing an indispensable role in the biotransformation of saponins into sapogenins. However, the metabolic routes of saponins by gut microbiota and their mutual interactions are still sparse. Thus, this review summarizes the chemistry, absorption, and metabolic pathways of saponins, as well as their interactions with gut microbiota and impacts on gut health, to better understand how saponins exert their health-promoting functions. metadata Zhang, Yu and Hao, Ruojie and Chen, Junda and Li, Sen and Huang, Kai and Cao, Hongwei and Farag, Mohamed A. and Battino, Maurizio and Daglia, Maria and Capanoglu, Esra and Zhang, Fan and Sun, Qiqi and Xiao, Jianbo and Sun, Zhenliang and Guan, Xiao mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Health benefits of saponins and its mechanisms: perspectives from absorption, metabolism, and interaction with gut. Critical Reviews in Food Science and Nutrition. pp. 1-22. ISSN 1040-8398

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Cerrado Inglés Background The house cricket (A. domesticus) is one of the edible insects that are gaining attention as a new source of protein and nutrients with potential use in the food industry as a safe and environmentally sustainable option with high biological value. Scope and approach Here, we review the published literature on studies of chemical composition, nutritional value, and potential risks that the consumption of house crickets entails. We discuss the benefits of consuming A. domesticus from a nutritional point of view, as well as information concerning the properties of its components for use in the food industry. metadata Pilco-Romero, Gabriela and Chisaguano-Tonato, Aida M. and Herrera-Fontana, María E. and Chimbo-Gándara, Luis F. and Sharifi-Rad, Majid and Giampieri, Francesca and Battino, Maurizio and Vernaza, María Gabriela and Álvarez-Suárez, José M. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) House cricket (Acheta domesticus): A review based on its nutritional composition, quality, and potential uses in the food industry. Trends in Food Science & Technology, 142. p. 104226. ISSN 09242244

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés Forecasting of sediment load (SL) is essential for reservoir operations, design of water resource structures, risk management, water resource planning and for preventing natural disasters in the river basin systems. Direct measurement of SL is difficult, labour intensive, and expensive. The development of an accurate and reliable model for forecasting the SL is required. Sediment transport is highly non-linear and is influenced by a variety of factors. Forecasting of the SL using various conventional methods is not highly accurate because of the association of various complex phenomena. In this study, major key factors such as rock type (RT), relief (R), rainfall (RF), water discharge (WD), temperature (T), catchment area (CA), and SL are recognized in developing the one-step-ahead SL forecasting model in the Mahanadi River (MR), which is among India’s largest rivers. Artificial neural networks (ANN) in conjunction with multi-objective genetic algorithm (ANN-MOGA)-based forecasting models were developed for forecasting the SL in the MR. The ANN-MOGA model was employed to optimize the two competing objective functions (bias and error variance) with simultaneous optimization of all associated ANN parameters. The performances of the proposed novel model were finally compared to other existing methods to verify the forecasting capability of the model. The ANN-MOGA model improved the performance by 12.81% and 10.19% compared to traditional AR and MAR regression models, respectively. The results suggested that hybrid ANN-MOGA models outperform traditional autoregressive and multivariate autoregressive forecasting models. Overall, hybrid ANN-MOGA intelligent techniques are recommended for the forecasting of SL in rivers metadata Yadav, Arvind and Ali Albahar, Marwan and Chithaluru, Premkumar and Singh, Aman and Alammari, Abdullah and Kumar, Gogulamudi Vijay and Miró Vera, Yini Airet mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, yini.miro@uneatlantico.es (2023) Hybridizing Artificial Intelligence Algorithms for Forecasting of Sediment Load with Multi-Objective Optimization. Water, 15 (3). p. 522. ISSN 2073-4441

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés With the advancement in information technology, digital data stealing and duplication have become easier. Over a trillion bytes of data are generated and shared on social media through the internet in a single day, and the authenticity of digital data is currently a major problem. Cryptography and image watermarking are domains that provide multiple security services, such as authenticity, integrity, and privacy. In this paper, a digital image watermarking technique is proposed that employs the least significant bit (LSB) and canny edge detection method. The proposed method provides better security services and it is computationally less expensive, which is the demand of today’s world. The major contribution of this method is to find suitable places for watermarking embedding and provides additional watermark security by scrambling the watermark image. A digital image is divided into non-overlapping blocks, and the gradient is calculated for each block. Then convolution masks are applied to find the gradient direction and magnitude, and non-maximum suppression is applied. Finally, LSB is used to embed the watermark in the hysteresis step. Furthermore, additional security is provided by scrambling the watermark signal using our chaotic substitution box. The proposed technique is more secure because of LSB’s high payload and watermark embedding feature after a canny edge detection filter. The canny edge gradient direction and magnitude find how many bits will be embedded. To test the performance of the proposed technique, several image processing, and geometrical attacks are performed. The proposed method shows high robustness to image processing and geometrical attacks metadata Faheem, Zaid Bin and Ishaq, Abid and Rustam, Furqan and de la Torre Díez, Isabel and Gavilanes, Daniel and Masías Vergara, Manuel and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, daniel.gavilanes@uneatlantico.es, manuel.masias@uneatlantico.es, UNSPECIFIED (2023) Image Watermarking Using Least Significant Bit and Canny Edge Detection. Sensors, 23 (3). p. 1210. ISSN 1424-8220

Article Subjects > Engineering Universidad Internacional do Cuanza > Research > Scientific Production
Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés This research paper aims to examine the impact of innovative HRM practices, including employee participation, performance appraisal, reward and compensation, recruitment and selection, and redeployment–retraining on firm performance. For this purpose, four different models are utilized to examine the impact of innovative HRM department practices on the performance of small and medium enterprises (SMEs) in a country. The dependent variable, firm performance, is proxified by different variables such as labor productivity, product innovation, process innovation, and marketing innovation. For empirical analysis, primary data are collected using a questionnaire. Estimation is conducted using ordinary least squares (OLS) and logit regression techniques. The estimated results indicate that most innovative HRM practices have a statistically significant impact on firm performance in terms of labor productivity, product, process, and marketing innovations. These results imply that SMEs in a country may observe the benefits of devoting greater attention to innovative HRM practices to achieve their future growth potential. metadata Aslam, Mahvish and Shafi, Imran and Ahmed, Jamil and Garat de Marin, Mirtha Silvana and Soriano Flores, Emmanuel and Rojo Gutiérrez, Marco Antonio and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, silvana.marin@uneatlantico.es, emmanuel.soriano@uneatlantico.es, marco.rojo@unini.edu.mx, UNSPECIFIED (2023) Impact of Innovation-Oriented Human Resource on Small and Medium Enterprises’ Performance. Sustainability, 15 (7). p. 6273. ISSN 2071-1050

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Leiomyosarcoma is an aggressive soft tissue sarcoma derived from the smooth muscle cells of the uterus. We tested the effect of Romina strawberry extract treatment on three-dimensional cultured uterine leiomyosarcoma cells. We established 3D cultures in agarose gel, where the cells seeded were able to form spheroids. We performed the observation and counting of the spheroids with a phase-contrast optical microscope, finding a decrease in the number of spheroids formed in the plates after 24 and 48 h treatment with 250 µg/mL of cultivar Romina strawberry extract. We also characterized the spheroids morphology by DNA binding fluorescent-stain observation, hematoxylin and eosin stain, and Masson’s trichrome stain. Finally, the real-time PCR showed a reduced expression of extracellular matrix genes after strawberry treatment. Overall, our data suggest that the fruit extract of this strawberry cultivar may be a useful therapeutic adjuvant for the management of uterine leiomyosarcoma. metadata Greco, Stefania and Pellegrino, Pamela and Giampieri, Francesca and Capocasa, Franco and Delli Carpini, Giovanni and Battino, Maurizio and Mezzetti, Bruno and Giannubilo, Stefano Raffaele and Ciavattini, Andrea and Ciarmela, Pasquapina mail UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) The In Vitro Effects of Romina Strawberry Extract on 3D Uterine Leiomyosarcoma Cells. Nutrients, 15 (11). p. 2557. ISSN 2072-6643

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés There is growing evidence that Alzheimer’s disease (AD) can be prevented by reducing risk factors involved in its pathophysiology. Food-derived bioactive molecules can help in the prevention and reduction of the progression of AD. Honey, a good source of antioxidants and bioactive molecules, has been tied to many health benefits, including those from neurological origin. Monofloral avocado honey (AH) has recently been characterized but its biomedical properties are still unknown. The aim of this study is to further its characterization, focusing on the phenolic profile. Moreover, its antioxidant capacity was assayed both in vitro and in vivo. Finally, a deep analysis on the pathophysiological features of AD such as oxidative stress, amyloid-β aggregation, and protein-tau-induced neurotoxicity were evaluated by using the experimental model C. elegans. AH exerted a high antioxidant capacity in vitro and in vivo. No toxicity was found in C. elegans at the dosages used. AH prevented ROS accumulation under AAPH-induced oxidative stress. Additionally, AH exerted a great anti-amyloidogenic capacity, which is relevant from the point of view of AD prevention. AH exacerbated the locomotive impairment in a C. elegans model of tauopathy, although the real contribution of AH remains unclear. The mechanisms under the observed effects might be attributed to an upregulation of daf-16 as well as to a strong ROS scavenging activity. These results increase the interest to study the biomedical applications of AH; however, more research is needed to deepen the mechanisms under the observed effects metadata Romero-Márquez, Jose M. and Navarro-Hortal, María D. and Orantes, Francisco J. and Esteban-Muñoz, Adelaida and Mazas Pérez-Oleaga, Cristina and Battino, Maurizio and Sánchez-González, Cristina and Rivas-García, Lorenzo and Giampieri, Francesca and Quiles, José L. and Forbes-Hernandez, Tamara Y. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, cristina.mazas@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, jose.quiles@uneatlantico.es, tamara.forbes@unini.edu.mx (2023) In Vivo Anti-Alzheimer and Antioxidant Properties of Avocado (Persea americana Mill.) Honey from Southern Spain. Antioxidants, 12 (2). p. 404. ISSN 2076-3921

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Cerrado Inglés Diabetes is a metabolic disease due to impaired or defective insulin secretion and is considered one of the most serious chronic diseases worldwide. Gamma-aminobutyric acid (GABA) is a naturally occurring non-protein amino acid commonly present in a wide range of foods. A number of studies documented that GABA has good anti-diabetic potential. This review summarized the available dietary sources of GABA as well as animal and human studies on the anti-diabetic properties of GABA, while also discussing the underlying mechanisms. GABA may modulate diabetes through various pathways such as inhibiting the activities of α-amylase and α-glucosidase, promoting β-cell proliferation, stimulating insulin secretion from β-cells, inhibiting glucagon secretion from α-cells, improving insulin resistance and glucose tolerance, and increasing antioxidant and anti-inflammatory activities. However, further mechanistic studies on animals and human are needed to confirm the therapeutic effects of GABA against diabetes. metadata Sun, Yu and Mehmood, Arshad and Giampieri, Francesca and Battino, Maurizio and Chen, Xiumin mail UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED (2023) Insights into the cellular, molecular, and epigenetic targets of gamma-aminobutyric acid against diabetes: a comprehensive review on its mechanisms. Critical Reviews in Food Science and Nutrition. pp. 1-18. ISSN 1040-8398

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books Abierto Inglés Rock art offers traces of our most remote past and was made with mineral and organic substances in shelters, walls, or the ceilings of caves. As it is notably fragile, it is fortunate that some instances remain intact—but a variety of natural and anthropogenic factors can lead to its disappearance. Therefore, as a valuable cultural heritage, rock art requires special conservation and protection measures. Geomatic remote-sensing technologies such as 3D terrestrial laser scanning (3DTLS), drone flight, and ground-penetrating radar (GPR) allow us to generate exhaustive documentation of caves and their environment in 2D, 2.5D, and 3D. However, only its combined use with 3D geographic information systems (GIS) lets us generate new cave maps with details such as overlying layer thickness, sinkholes, fractures, joints, and detachments that also more precisely reveal interior–exterior interconnections and gaseous exchange; i.e., the state of senescence of the karst that houses the cave. Information of this kind is of great value for the research, management, conservation, monitoring, and dissemination of cave art. metadata Bayarri Cayón, Vicente and Prada, Alfredo and García, Francisco and Díaz-González, Lucía M. and De Las Heras, Carmen and Castillo, Elena and Fatás, Pilar mail vicente.bayarri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Integration of Remote-Sensing Techniques for the Preventive Conservation of Paleolithic Cave Art in the Karst of the Altamira Cave. Remote Sensing, 15 (4). p. 1087. ISSN 2072-4292

Article Subjects > Teaching Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Regulatory dispersion and a utilitarian use of sustainability deepen the gap within the teaching–learning process and limit the introduction of sustainable criteria in organizations through projects. The objective of this research consisted in developing a sustainable and holistic educational proposal for an online postgraduate program belonging to the Universidad Europea del Atlántico (UNEATLANTICO) within the field of projects. The proposal was based on the instrumentalization of a model comprised of national and international bibliographic references, resulting in a sustainability guide with significant improvements in relation to the reference standard par excellence: ISO 26000:2010. This guide formed the basis of a sustainability management plan, which was key in the project methodology and during the development of sustainable objectives and descriptors for each of the subjects. Lastly, the entities, attributes, and cardinal relationships were established for the development of a physical model used to facilitate the management of all this information within a SQL database. The rigor when determining the educational program, as well as the subsequent analysis of results as supported by the literature review, presupposes the application of this methodology toward other multidisciplinary programs contributing to the adoption of good sustainability practices within the educational field metadata Gracia Villar, Mónica and Álvarez, Roberto Marcelo and Brie, Santiago and Miró Vera, Yini Airet and García Villena, Eduardo mail monica.gracia@uneatlantico.es, roberto.alvarez@uneatlantico.es, santiago.brie@uneatlantico.es, yini.miro@uneatlantico.es, eduardo.garcia@uneatlantico.es (2023) Integration of Sustainable Criteria in the Development of a Proposal for an Online Postgraduate Program in the Projects Area. Education Sciences, 13 (1). p. 97. ISSN 2227-7102

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Agriculture is a critical domain, where technology can have a significant impact on increasing yields, improving crop quality, and reducing environmental impact. The use of renewable energy sources such as solar power in agriculture has gained momentum in recent years due to the potential to reduce the carbon footprint of farming operations. In addition to providing a source of clean energy, solar tracking systems can also be used for remote weather monitoring in the agricultural field. The ability to collect real-time data on weather parameters such as temperature, humidity, and rainfall can help farmers make informed decisions on irrigation, pest control, and other crop management practices. The main idea of this study is to present a system that can improve the efficiency of solar panels to provide constant power to the sensor in the agricultural field and transfer real-time data to the app. This research presents a mechanism to improve the arrangement of a photovoltaic (PV) array with solar power and to produce maximum energy. The proposed system changes its direction in two axes (azimuth and elevation) by detecting the difference between the position of the sun and the panel to track the sun using a light-dependent resistor. A testbed with a hardware experimental setup is designed to test the system’s capability to track according to the position of the sun effectively. In the end, real-time data are displayed using the Android app, and the weather data are transferred to the app using a GSM/WiFi module. This research improves the existing system, and results showed that the relative increase in power generation was up to 52%. Using intelligent artificial intelligence techniques with the QoS algorithm, the quality of service produced by the existing system is improved. metadata Kanwal, Tabassum and Rehman, Saif Ur and Ali, Tariq and Mahmood, Khalid and Gracia Villar, Santos and Dzul Lopez, Luis and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, luis.dzul@unini.edu.mx, UNSPECIFIED (2023) An Intelligent Dual-Axis Solar Tracking System for Remote Weather Monitoring in the Agricultural Field. Agriculture, 13 (8). p. 1600. ISSN 2077-0472

Article Subjects > Comunication Europe University of Atlantic > Research > Articles and books Abierto Inglés The development of digital technologies and the evolution of open innovation approaches have enabled the creation of diverse virtual organizations and enterprises coordinating their activities primarily online. The open innovation platform titled “International Natural Product Sciences Taskforce” (INPST) was established in 2018, to bring together in collaborative environment individuals and organizations interested in natural product scientific research, and to empower their interactions by using digital communication tools. Methods In this work, we present a general overview of INPST activities and showcase the specific use of Twitter as a powerful networking tool that was used to host a one-week “2021 INPST Twitter Networking Event” (spanning from 31st May 2021 to 6th June 2021) based on the application of the Twitter hashtag #INPST. Results and Conclusion The use of this hashtag during the networking event period was analyzed with Symplur Signals (https://www.symplur.com/), revealing a total of 6,036 tweets, shared by 686 users, which generated a total of 65,004,773 impressions (views of the respective tweets). This networking event's achieved high visibility and participation rate showcases a convincing example of how this social media platform can be used as a highly effective tool to host virtual Twitter-based international biomedical research events. metadata Singla, Rajeev K. and De, Ronita and Efferth, Thomas and Mezzetti, Bruno and Sahab Uddin, Md. and Sanusi, X. and Ntie-Kang, Fidele and Wang, Dongdong and Schultz, Fabien and Kharat, Kiran R. and Devkota, Hari Prasad and Battino, Maurizio and Sur, Daniel and Lordan, Ronan and Patnaik, Sourav S and Tsagkaris, Christos and Sai, Chandragiri Siva and Tripathi, Surya Kant and Găman, Mihnea-Alexandru and Ahmed, Mosa E.O. and González-Burgos, Elena and Babiaka, Smith B. and Paswan, Shravan Kumar and Odimegwu, Joy Ifunanya and Akram, Faizan and Simal-Gandara, Jesus and Urquiza, Mágali S. and Tikhonov, Aleksei and Mondal, Himel and Singla, Shailja and Lonardo, Sara Di and Mulholland, Eoghan J and Cenanovic, Merisa and Maigoro, Abdulkadir Yusif and Giampieri, Francesca and Lee, Soojin and Tzvetkov, Nikolay T. and Louka, Anna Maria and Verma, Pritt and Chopra, Hitesh and Olea, Scarlett Perez and Khan, Johra and Alvarez Suarez, José M. and Zheng, Xiaonan and Tomczyk, Michał and Sabnani, Manoj Kumar and Medina, Christhian Delfino Villanueva and Khalid, Garba M. and Boyina, Hemanth Kumar and Georgiev, Milen I. and Supuran, Claudiu T. and Sobarzo-Sánchez, Eduardo and Fan, Tai-Ping and Pittala, Valeria and Sureda, Antoni and Braidy, Nady and Russo, Gian Luigi and Vacca, Rosa Anna and Banach, Maciej and Lizard, Gérard and Zarrouk, Amira and Hammami, Sonia and Orhan, Ilkay Erdogan and Aggarwal, Bharat B. and Perry, George and Miller, Mark JS and Heinrich, Michael and Bishayee, Anupam and Kijjoa, Anake and Arkells, Nicolas and Bredt, David and Wink, Michael and Fiebich, Bernd l. and Kiran, Gangarapu and Yeung, Andy Wai Kan and Gupta, Girish Kumar and Santini, Antonello and Lucarini, Massimo and Durazzo, Alessandra and El-Demerdash, Amr and Dinkova-Kostova, Albena T. and Cifuentes, Alejandro and Souto, Eliana B. and Zubair, Muhammad Asim Masoom and Badhe, Pravin and Echeverría, Javier and Horbańczuk, Jarosław Olav and Horbanczuk, Olaf K. and Sheridan, Helen and Sheshe, Sadeeq Muhammad and Witkowska, Anna Maria and Abu-Reidah, Ibrahim M. and Riaz, Muhammad and Ullah, Hammad and Oladipupo, Akolade R. and Lopez, Víctor and Sethiya, Neeraj Kumar and Shrestha, Bhupal Govinda and Ravanan, Palaniyandi and Gupta, Subash Chandra and Alzahrani, Qushmua E. and Dama Sreedhar, Preethidan and Xiao, Jianbo and Moosavi, Mohammad Amin and Subramani, Parasuraman Aiya and Singh, Amit Kumar and Chettupalli, Ananda Kumar and Patra, Jayanta Kumar and Singh, Gopal and Karpiński, Tomasz M. and Al-Rimawi, Fuad and Abiri, Rambod and Ahmed, Atallah F. and Barreca, Davide and Vats, Sharad and Amrani, Said and Fimognari, Carmela and Mocan, Andrei and Hritcu, Lucian and Semwal, Prabhakar and Shiblur Rahaman, Md. and Emerald, Mila and Akinrinde, Akinleye Stephen and Singh, Abhilasha and Joshi, Ashima and Joshi, Tanuj and Khan, Shafaat Yar and Balla, Gareeballah Osman Adam and Lu, Aiping and Pai, Sandeep Ramchandra and Ghzaiel, Imen and Acar, Niyazi and Es-Safi, Nour Eddine and Zengin, Gokhan and Kureshi, Azazahemad A. and Sharma, Arvind Kumar and Baral, Bikash and Rani, Neeraj and Jeandet, Philippe and Gulati, Monica and Kapoor, Bhupinder and Mohanta, Yugal Kishore and Emam-Djomeh, Zahra and Onuku, Raphael and Depew, Jennifer R. and Atrooz, Omar M. and Goh, Bey Hing and Andrade, Jose Carlos and Konwar, Bikramjit and Shine, VJ and Ferreira, João Miguel Lousa Dias and Ahmad, Jamil and Chaturvedi, Vivek K. and Skalicka-Woźniak, Krystyna and Sharma, Rohit and Gautam, Rupesh K. and Granica, Sebastian and Parisi, Salvatore and Kumar, Rishabh and Atanasov, Atanas G. and Shen, Bairong mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) The International Natural Product Sciences Taskforce (INPST) and the power of Twitter networking exemplified through #INPST hashtag analysis. Phytomedicine, 108. p. 154520. ISSN 09447113

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The Internet of Things (IoT) has positioned itself globally as a dominant force in the technology sector. IoT, a technology based on interconnected devices, has found applications in various research areas, including healthcare. Embedded devices and wearable technologies powered by IoT have been shown to be effective in patient monitoring and management systems, with a particular focus on pregnant women. This study provides a comprehensive systematic review of the literature on IoT architectures, systems, models and devices used to monitor and manage complications during pregnancy, postpartum and neonatal care. The study identifies emerging research trends and highlights existing research challenges and gaps, offering insights to improve the well-being of pregnant women at a critical moment in their lives. The literature review and discussions presented here serve as valuable resources for stakeholders in this field and pave the way for new and effective paradigms. Additionally, we outline a future research scope discussion for the benefit of researchers and healthcare professionals. metadata Hossain, Mohammad Mobarak and Kashem, Mohammod Abul and Islam, Md. Monirul and Sahidullah, Md. and Mumu, Sumona Hoque and Uddin, Jia and Gavilanes Aray, Daniel and de la Torre Diez, Isabel and Ashraf, Imran and Samad, Md Abdus mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, daniel.gavilanes@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review. Sensors, 23 (23). p. 9367. ISSN 1424-8220

Book Section Subjects > Teaching Europe University of Atlantic > Research > Articles and books Abierto Español UNSPECIFIED metadata Quijano-Peña, Paula mail paula.quijano@uneatlantico.es (2023) Introduciendo la posedición en el aula de traducción especializada. In: El poder de la innovación educativa: cómo las tecnologías están revolucionando el aprendizaje. Horizonte Académico (12). Egregius, Sevilla, pp. 245-256. ISBN 978-84-1177-033-0

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés An Internet of Things (IoT) network is prone to many ways of threatening individuals. IoT sensors are lightweight, lack complicated security protocols, and face threats to privacy and confidentiality. Hackers can attack the IoT network and access personal information and confidential data for blackmailing, and negatively manipulate data. This study aims to propose an IoT threat protection system (IoTTPS) to protect the IoT network from threats using an ensemble model RKSVM, comprising a random forest (RF), K nearest neighbor (KNN), and support vector machine (SVM) model. The software-defined networks (SDN)-based IoT network datasets such as KDD cup 99, NSL-KDD, and CICIDS are used for threat detection based on machine learning. The experimental phase is conducted by using a decision tree (DT), logistic regression (LR), Naive Bayes (NB), RF, SVM, gradient boosting machine (GBM), KNN, and the proposed ensemble RKSVM model. Furthermore, performance is optimized by adding a grid search hyperparameter optimization technique with K-Fold cross-validation. As well as the NSL-KDD dataset, two other datasets, KDD and CIC-IDS 2017, are used to validate the performance. Classification accuracies of 99.7%, 99.3%, 99.7%, and 97.8% are obtained for DoS, Probe, U2R, and R2L attacks using the proposed ensemble RKSVM model using grid search and cross-fold validation. Experimental results demonstrate the superior performance of the proposed model for IoT threat detection. metadata Akram, Urooj and Sharif, Wareesa and Shahroz, Mobeen and Mushtaq, Muhammad Faheem and Gavilanes Aray, Daniel and Bautista Thompson, Ernesto and Diez, Isabel de la Torre and Djuraev, Sirojiddin and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, daniel.gavilanes@uneatlantico.es, ernesto.bautista@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System. Sensors, 23 (14). p. 6379. ISSN 1424-8220

Article Subjects > Teaching
Subjects > Comunication
Subjects > Psychology
Europe University of Atlantic > Research > Articles and books Abierto Español A medida que los medios extienden mundialmente la concienciación sobre la inclusión y la diversidad intercultural, en redes sociales como TikTok emergen nuevas vías para el debate, lo que afecta, entre otros, al público infantil. Una muestra de ello son los populares vídeos-reacción que, ante lanzamientos cinematográficos como el teaser del live action de La Sirenita de Disney, construyen cadenas de interacción en las que se polemiza sobre la representación simbólica, la descentralización colonial, la ruptura estereotípica o el imaginario caucásico en la infancia. Este estudio explora las reacciones infantiles y el sentimiento comunitario desplegado en TikTok mediante el análisis cualitativo de 50 vídeo-reacciones y el análisis de sentimiento de 11,510 comentarios. Para ello, se desarrolló un análisis de contenido inductivo que introducía 10 códigos, como “diversidad e inclusión”, “emociones”, “prejuicios” e “identidad racial/étnica”, y un análisis de sentimiento codificado con procesamiento del lenguaje natural e inteligencia artificial basado en el modelo GPT de OpenAI. Los resultados revelan que la representación de una protagonista afroamericana, Halle Bailey, es bien recibida por los menores, generando un positivismo generalizado en torno a la diversidad intercultural. La tez negra y el cabello castaño cobrizo frente a la que fue un icono caucásico y pelirrojo parece no amedrentar a los infantes, que expresan entusiasmo y emoción ante su papel. Esta representación denota una suerte de positivismo generalizado, en el que el imaginario “Disneyzado” adulto e infantil apunta hacia un futuro basado en la diversidad y la autoestima infantil. metadata Bonilla-del-Río, Mónica and Vizcaíno-Verdú, Arantxa mail monica.bonilla@uneatlantico.es, UNSPECIFIED (2023) “¡La Sirenita es como yo!”: diversidad intercultural, inclusión y autoestima infantil en TikTok. Psychology, Society & Education, 15 (3). pp. 57-70. ISSN 1989-709X

Book Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books Cerrado Español El objeto de esta monografía es el estudio diacrónico y pormenorizado de la adopción, tomando como referencia el texto originario del Código Civil de 1889 y el análisis doctrinal que hicieron los principales civilistas y jurisconsultos de la época. Con una visión práctica y una fuerte base teórica, tanto en el ámbito del Derecho civil como de la Sociología jurídica, este libro pretende llenar un vacío derivado de la falta de un análisis específico, compilatorio, doctrinal y monográfico, respecto a como ha ido evolucionando la adopción en cada una de las reformas que se han sucedido (dieciséis) desde el año 1889 hasta la actualidad. Asimismo y con un enorme rigor académico, Manuel Baelo Álvarez escudriña la exégesis de cada uno de los artículos del vigente Código Civil, su normatividad, el significado y la utilidad sociojurídica de la adopción, no solo en España, sino también en aquellos territorios en los que nuestro Código Civil estuvo presente, como Filipinas, Puerto Rico, Cuba y el Golfo de Guinea (Guinea Ecuatorial). metadata Baelo Álvarez, Manuel mail manuel.baelo@uneatlantico.es (2023) La adopción en el Código Civil: evolución normativa, doctrinal y sociojurídica desde 1889 hasta la actualidad. Tirant lo Blanch, Valencia. ISBN 9788411690041

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Español Introducción: Evaluar la literatura científica existente sobre la relación entre las fluctuaciones hormonales y la capacidad de producir fuerza, y establecer qué fase del CM es la más adecuada para aplicar mayor carga en entrenamiento de fuerza. Método: Se realizó una búsqueda bibliográfica a través de la base de datos PubMed. Los artículos incluidos fueron aquellos que estuvieran redactados en inglés o español y que estuvieran relacionados con la producción de fuerza en mujeres eumenorreicas. Resultados: En cuanto a la fuerza de prensión se obtuvieron resultados muy dispares que pueden derivar del nivel de entrenamiento de las participantes, así como del método utilizado para determinar las fases, ya que pocos coincidieron. Si observamos los estudios relacionados con la fuerza isométrica no se obtuvieron diferencias significativas a lo largo del ciclo menstrual, aunque habría que fijarse en las fases evaluadas y el método para evaluar dichas fases. En cuanto a la fuerza del miembro inferior los resultados indicaron mejores valores de fuerza en la fase folicular. Por último, los resultados relacionados con la contracción voluntaria máxima indicaron mejores valores en la fase lútea y de ovulación. Discusión y conclusión: En conclusión, la capacidad de producir fuerza es mayor en diferentes fases según la prueba de fuerza realizada, la mayor incertidumbre se dio en la fuerza de prensión donde no queda clara cuál es la fase en la que se produce mayor fuerza ya que los resultados son muy diferentes. Sin embargo, parece que la capacidad para generar fuerza isométrica no varía a lo largo del ciclo menstrual y la fuerza máxima está relacionada con la fase folicular donde se da el pico de estrógeno. En cuanto a la contracción voluntaria máxima se dan dos resultados diferentes que ofrecen dudas sobre en qué fase se genera más este tipo de fuerza. metadata Lago-Fuentes, Carlos and Osmani, Florent and De la Fuente de la Parte, Diego mail carlos.lago@uneatlantico.es, florent.osmani@uneatlantico.es, UNSPECIFIED (2023) La influencia del ciclo menstrual en el entrenamiento de fuerza: revisión bibliográfica. MLS Sport Research, 3 (1). ISSN 2792-7156

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Abierto Inglés Aims Nuclear envelope integrity is essential for compartmentalisation of nucleus and cytoplasm. Importantly, mutations in genes encoding nuclear envelope and associated proteins are the second-highest cause of familial dilated cardiomyopathy. One such nuclear envelope protein that causes cardiomyopathy in humans and affects mouse heart development is Lem2. However, its role in heart remains poorly understood. Methods and results We generated mice in which Lem2 was specifically ablated either in embryonic cardiomyocytes (Lem2 cKO) or adult cardiomyocytes (Lem2 iCKO) and carried out detailed physiological, tissue and cellular analyses. High resolution episcopic microscopy was used for 3D reconstructions and detailed morphological analyses. RNA-sequencing and immunofluorescence identified altered pathways and cellular phenotypes, and cardiomyocytes were isolated to interrogate nuclear integrity in more detail. In addition, echocardiography provided physiological assessment of Lem2 iCKO adult mice. We found that Lem2 was essential for cardiac development, and hearts from Lem2 cKO mice were morphologically and transcriptionally underdeveloped. Lem2 cKO hearts displayed high levels of DNA damage, nuclear rupture, and apoptosis. Crucially, we found that these defects were driven by muscle contraction as they were ameliorated by inhibiting myosin contraction and L-type calcium channels. Conversely, reducing Lem2 levels to ∼45% in adult cardiomyocytes did not lead to overt cardiac dysfunction up to 18 months of age. Conclusions Our data suggest that Lem2 is critical for integrity at the nascent nuclear envelope in fetal hearts, and protects the nucleus from the mechanical forces of muscle contraction. In contrast, the adult heart is not detectably affected by partial Lem2 depletion, perhaps owing to a more established nuclear envelope and increased adaptation to mechanical stress. Taken together, these data provide insights into mechanisms underlying cardiomyopathy in patients with mutations in Lem2 and cardio-laminopathies in general. metadata Ross, Jacob A and Arcos-Villacis, Nathaly and Battey, Edmund and Boogerd, Cornelis and Avalos Orellana, Constanza and Marhuenda, Emilie and Swiatlowska, Pamela and Hodzic, Didier and Prin, Fabrice and Mohun, Tim and Catibog, Norman and Tapia Martínez, Olga and Gerace, Larry and Iskratsch, Thomas and Shah, Ajay M and Stroud, Matthew J mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, olga.tapia@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Lem2 is essential for cardiac development by maintaining nuclear integrity. Cardiovascular Research. ISSN 0008-6363

Book Section Subjects > Teaching Europe University of Atlantic > Research > Articles and books Abierto Español El debate en formato de Liga de debate se ha venido conformando en los últimos años como una actividad de extensión curricular o cultural en la mayoría de universidades en España. Sin embargo, son escasos los estudios empíricos que muestren la percepción de mejora real por parte del alumnado. Por tanto, se plantea un estudio global enfocado en la Liga de debate como herramienta educativa en la enseñanza universitaria. Para ello, como primer paso, se realiza un diagnóstico del alumnado universitario y la evolución de las habilidades necesarias para el debate después de la experiencia formativo-práctica realizada en la Universidad Europea del Atlántico (Cantabria) durante el curso 2020-2021. La muestra incluye a 153 alumnos procedentes de diversas carreras. El instrumento es una encuesta, con la escala de Likert, aplicada antes y después de la Liga. Los resultados revelan una mejora sustancial de conocimientos y habilidades después de haber participado en esta actividad. Este diagnóstico refuerza la hipótesis inicial sobre la efectividad de la Liga de Debate como actividad formativo-práctica y sienta bases para la definición y pilotaje de la misma como una metodología educativa emergente de aprendizaje cooperativo en el entorno universitario metadata Alexeeva-Alexeev, Inna and Alonso-Campo, María Araceli mail inna.alexeeva@uneatlantico.es, araceli.alonso@uneatlantico.es (2023) Liga de Debate como herramienta emergente para el aprendizaje cooperativo: análisis empírico de la mejora de competencias en enseñanza superior. In: Innovación educativa y formación docente: últimas aportaciones en la investigación. Dykinson, Madrid, pp. 356-365.

Article Subjects > Comunication Europe University of Atlantic > Research > Articles and books Abierto Español Introducción: Los canales de YouTube dirigidos a un público infantil actualmente tienen audiencias millonarias. El que estos contenidos no estén sometidos a control y sean creados frecuentemente por personas no expertas en comunicación o educación infantil además de la vulnerabilidad de la audiencia hace que su revisión y estudio tenga importancia. Un aspecto relevante es el tipo de valores que son transmitidos, en especial, cuando los contenidos muestran situaciones de juego, momento en el que los niños generan emociones positivas y son más influenciables. Conocer cómo se muestran las marcas que comercializan juguetes permitirá tomar medidas de control. Metodología: La investigación realizada es un estudio de caso en el que se han revisado los contenidos publicados durante 24 meses del canal de YouTube Vlad y Niki desde su apertura hasta principios de 2021. Resultados: El estudio apunta que debido a la frecuencia de aparición de valores como la diversión, la solidaridad, la violencia o el refuerzo de los estereotipos de género en las situaciones de juego estos terminan por incidir en los contenidos generales del canal. También se encuentra una cierta conexión entre los distintos tipos de valores y las categorías de juguetes y las marcas, en especial, aquellas que patrocinan contenidos. Discusión y conclusiones: Se proponen recomendaciones con el objetivo de que las compañías jugueteras se visibilicen dentro de estos canales de forma más responsable. metadata Neira-Placer, Paula and Visiers, Ana mail UNSPECIFIED, ana.visiers@uneatlantico.es (2023) Los valores asociados a juguetes en los contenidos de canales YouTube: Estudio de caso. Revista de Comunicación de la SEECI, 57. pp. 1-19. ISSN 2695-5156

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Cerrado Inglés Currently, high hospital readmission rates have become a problem for mental health services, because it is directly associated with the quality of patient care. The development of predictive models with machine learning algorithms allows the assessment of readmission risk in hospitals. The main objective of this paper is to predict the readmission risk of patients with schizophrenia in a region of Spain, using machine learning algorithms. In this study, we used a dataset with 6089 electronic admission records corresponding to 3065 patients with schizophrenia disorders. Data were collected in the period 2005–2015 from acute units of 11 public hospitals in a Spain region. The Random Forest classifier obtained the best results in predicting the readmission risk, in the metrics accuracy = 0.817, recall = 0.887, F1-score = 0.877, and AUC = 0.879. This paper shows the algorithm with highest accuracy value and determines the factors associated with readmission risk of patients with schizophrenia in this population. It also shows that the development of predictive models with a machine learning approach can help improve patient care quality and develop preventive treatments. metadata Góngora Alonso, Susel and Herrera Montano, Isabel and Martín Ayala, Juan Luis and Rodrigues, Joel J. P. C. and Franco-Martín, Manuel and de la Torre Díez, Isabel mail UNSPECIFIED, UNSPECIFIED, juan.martin@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Machine Learning Models to Predict Readmission Risk of Patients with Schizophrenia in a Spanish Region. International Journal of Mental Health and Addiction. ISSN 1557-1874

Article Subjects > Biomedicine
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books Cerrado Inglés Malvidin is an O-methylated anthocyanidin, the 3′,5′-methoxy derivative of delphinidin responsible for the blue-red color found in flowers and fruits. Its distribution covers a wide group of sources, such as flowers (edible and nonedible), medicinal plants, and fruits. It is the main substance responsible for the color of red grapes and red wine, being Vitis vinifera one of its main sources. Its consumption is important as it has been associated with important biological effects, such as anti-inflammatory activity, powerful antioxidant activity, and anticancer activity. Against this background, this chapter presents a general overview of malvidin’s main sources, biosynthesis pathway and biotransformation properties, physicochemical properties and stability, and aspects of its absorption, metabolism, and excretion. Additionally, we summarize recent studies using in vitro and in vivo models related to its various biological properties. In conclusion, this chapter aims to provide as detailed a picture as possible of the potential of malvidin in human health, as well as its main sources, chemical characteristics, and biotransformation. metadata Alvarez-Suarez, José M. and Giampieri, Francesca and Tejera, Eduardo and Battino, Maurizio mail UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED, maurizio.battino@uneatlantico.es (2023) Malvidin: Advances in the Resources, Biosynthesis Pathway, Bioavailability, Bioactivity, and Pharmacology. Handbook of Dietary Flavonoids. pp. 1-35.

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Microwave (MW) and enzyme catalysis are two emerging processing tools in the field of food industry. Recently, MW has been widely utilized as a novel type of green and safe heating energy. However, the effect of MW irradiation on enzyme activity is not described clearly. The intrinsic mechanisms behind enzyme activation and inactivation remain obscure. To apply better MW to the field of enzyme catalysis, it is essential to gain insights into the mechanism of MW action on enzyme activity. This review summarizes the changes in various enzyme activity during food processing, especially under MW irradiation. The intrinsic mechanism of thermal and nonthermal effects of MW irradiation was analyzed from the perspective of enzyme reaction kinetics and spatial structure. MW irradiation temperature is a vital parameter affecting the catalytic activity of enzymes. Activation of the enzyme activity is achieved even at high MW power when the enzyme is operating at its optimum temperature. However, when the temperature exceeds the optimum temperature, the enzyme activity is inhibited. In addition to MW dielectric heating effect, nonthermal MW effects also alter the microenvironment of reactive system. Taken together, enzyme activity is influenced by both thermal and nonthermal MW effects metadata Cao, Hongwei and Wang, Xiaoxue and Liu, Jing and Sun, Zhu and Yu, Zhiquan and Battino, Maurizio and El‐Seedi, Hesham and Guan, Xiao mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Mechanistic insights into the changes of enzyme activity in food processing under microwave irradiation. Comprehensive Reviews in Food Science and Food Safety. ISSN 1541-4337

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books Cerrado Inglés Objective Sexual abuse is associated with eating disorders (EDs) severity. However, the psychological mediators of this association have received scant attention in the literature. Method The present study aimed to evaluate the mediating role of psychological maladjustment, alexithymia, and self-esteem in the relationship between sexual abuse and EDs severity in a sample of 134 treatment-naïve patients with an EDs and 129 paired healthy controls. Results In the EDs group, EDs severity among participants who had been sexually abused was mediated by greater psychological maladjustment and alexithymia (indirect effects: β = 12.55, 95% CI [6.11–19.87] p < 0.001; β = 3.22, 95% CI [0.235–7.97] p < 0.05, respectively). By contrast, these variables had no significant mediating effect on EDs severity in the control group. Discussion These findings support the hypothesis of a disorder-related relationship between sexual abuse and alexithymia and psychological maladjustment, which, in turn, influences EDs severity. Alexithymia and psychological maladjustment appear to be promising therapeutic targets for patients with EDs who have a history of sexual abuse. metadata Ventura, Ludovica and Gómez del Barrio, Andrés and Miras‐Aguilar, María and Ruiz‐Gutiérrez, José and González Gómez, Jana and González‐Blanch, César mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, cesar.gonzalezblanch@uneatlantico.es (2023) Mediators between sexual abuse and eating disorder severity: A comparative case‐control study in treatment‐naïve patients. European Eating Disorders Review. ISSN 1072-4133

Article Subjects > Social Sciences
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books Abierto Español El objetivo de la investigación fue diseñar e implementar una metodología basada en la transformación digital de forma ágil y en un corto periodo que permita a las pymes del sector de logística ligera del Perú incrementar su competitividad bajo un enfoque de investigación mixto con un diseño exploratorio secuencial (DEXPLOS), observacional y experimental. La población de estudio estuvo constituida por 750 pymes, la muestra estuvo conformada por 255 empresas y se realizó un muestreo probabilístico estratificado. Los criterios de inclusión fueron contar con estrategias competitivas definidas, un año de operación como mínimo y licencias de funcionamiento y código postal. El instrumento de investigación fue un cuestionario compuesto por 189 preguntas distribuidas en variables, tales como estrategia, rentabilidad, nivel técnico, productividad, calidad y trazabilidad. Se concluye que la implementación de la metodología propuesta permitió la transformación digital de las empresas objeto de estudio en un plazo de cuatro meses, por lo tanto, incrementaron su competitividad. metadata Rojas García, José Antonio and Ajuria Foronda, José Luis and Arambarri, Jon mail UNSPECIFIED, UNSPECIFIED, jon.arambarri@uneatlantico.es (2023) Metodología de transformación digital para incrementar la competitividad de las pymes de logística ligera en el Perú. Industrial Data, 26 (1). pp. 63-90. ISSN 1560-9146

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés 5G has been launched in a few countries of the world, so now all focus shifted towards the development of future 6G networks. 5G has connected all aspects of society. Ubiquitous connectivity has opened the doors for more data sharing. Although 5G is providing low latency, higher data rates, and high-speed yet there are some security-related vulnerabilities. Those security issues need to be mitigated for securing 6G networks from existing challenges. Classical cryptography will not remain enough for securing the 6G network. As all classical cryptography can be disabled with the help of quantum mechanics. Therefore, in the place of traditional security solutions, in this article, we have reviewed all the existing quantum solutions of 5G existing security issues to mitigate them and secure 6G in a Future Quantum World. metadata Mangla, Cherry and Rani, Shalli and Faseeh Qureshi, Nawab Muhammad and Singh, Aman mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es (2023) Mitigating 5G security challenges for next-gen industry using quantum computing. Journal of King Saud University - Computer and Information Sciences. ISSN 13191578

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés The integration of a flexible alternating current transmission system (FACTS) and a power system stabilizer (PSS) can increase dynamic stability. This paper presents the enhancement of power system dynamic stability through the optimal design of a power system stabilizer and UPFC using an ant lion optimization (ALO) technique to enhance transmission line capacity. The gained damping ratio, eigenvalue and time domain results of the suggested ALO technique were compared with a base case system, ALO-based PSS and ALO-based PSS-UPFC to test the effectiveness of the proposed system in different loading cases. Eigenvalues gained from an ant lion approach-based UPFC with a PSS and a base case system are compared to examine the robustness of the ALO method for various loading conditions. Thus, this paper addresses the mechanism regarding the power system dynamic stability of transmission lines by integrating the optimal size of a PSS and UPFC into the power system. Therefore, the main contribution of this manuscript is the optimal coordination of a power system stabilizer, power oscillation damper and unified power flow using ant lion optimization for the mitigation of low-frequency oscillation. metadata Solomon, Endeshaw and Khan, Baseem and Boulkaibet, Ilyes and Neji, Bilel and Khezami, Nadhira and Ali, Ahmed and Mahela, Om Prakash and Pascual Barrera, Alina Eugenia mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, alina.pascual@unini.edu.mx (2023) Mitigating Low-Frequency Oscillations and Enhancing the Dynamic Stability of Power System Using Optimal Coordination of Power System Stabilizer and Unified Power Flow Controller. Sustainability, 15 (8). p. 6980. ISSN 2071-1050

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Society and the environment are severely impacted by catastrophic events, specifically floods. Inadequate emergency preparedness and response are frequently the result of the absence of a comprehensive plan for flood management. This article proposes a novel flood disaster management (FDM) system using the full lifecycle disaster event model (FLCNDEM), an abstract model based on the function super object. The proposed FDM system integrates data from existing flood protocols, languages, and patterns and analyzes viewing requests at various phases of an event to enhance preparedness and response. The construction of a task library and knowledge base to initialize FLCNDEM results in FLCDEM flooding response. The proposed FDM system improves the emergency response by offering a comprehensive framework for flood management, including pre-disaster planning, real-time monitoring, and post-disaster evaluation. The proposed system can be modified to accommodate various flood scenarios and enhance global flood management. metadata Khan, Saad Mazhar and Shafi, Imran and Butt, Wasi Haider and Díez, Isabel de la Torre and López Flores, Miguel Ángel and Castanedo Galán, Juan and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, miguelangel.lopez@uneatlantico.es, juan.castanedo@uneatlantico.es, UNSPECIFIED (2023) Model Driven Approach for Efficient Flood Disaster Management with Meta Model Support. Land, 12 (8). p. 1538. ISSN 2073-445X

Article Subjects > Comunication Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés, Español Esta investigación ha sido desarrollada con el objetivo general de determinar un modelo de comunicación efectiva para la difusión de los Programas y Proyectos de Inversión Pública (PIP) del Departamento de Loreto, que ocupa la tercera parte del territorio del Perú, y, dadas sus características geográficas, existe mucha influencia cultural de Colombia y Brasil. Desde la perspectiva metodológica, se basó en un enfoque cuantitativo, de nivel descriptivo, con un diseño de campo, no experimental, transversal, que se apoyó en encuestas aplicadas a los tenientes gobernadores de los poblados ubicados en las fronteras con Colombia y Brasil. Una vez desarrollado el trabajo de campo, se realizó el procesamiento de la información, generando así el análisis descriptivo, la discusión de los resultados y la propuesta de modelo. En esencia, se llegó a la conclusión de que existen importantes limitaciones en el modelo actual de difusión de los PIP en el Departamento de Loreto, debilidades concernientes a todos los elementos de la comunicación: emisores dispersos y no preparados, receptores no caracterizados, canales desaprovechados, mensajes no codificados ni contextualizados, retroalimentación no estimulada. En vista de lo cual se diseña un Modelo de Comunicación Efectiva para la Difusión de los PIP (MCE-D-PIP) que plantea el desarrollo de una Sala Situacional de Comunicación Efectiva (SSCE– PIP), que permita potenciar los roles de productores, consumidores y prosumidores de la información, mediante la diversificación de los canales y una especializada codificación del mensaje, en función del contexto: diversidad cultural, condiciones educativas, factores tecnológicos, entre otros. metadata Gallo Infantes, Francisco Antonio and Arambarri, Jon and Lloret Romero, Nuria and Cadillo López, Claudet mail UNSPECIFIED, jon.arambarri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Modelo de comunicación efectiva para la difusión de los programas y proyectos de inversión pública del Departamento de Loreto, Perú. MLS Communication Journal, 1 (2). ISSN 2792-9280

Article Subjects > Comunication Europe University of Atlantic > Research > Articles and books Abierto Inglés Esta investigación ha sido desarrollada con el objetivo general de determinar un modelo de comunicación efectiva para la difusión de los Programas y Proyectos de Inversión Pública (PIP) del Departamento de Loreto, que ocupa la tercera parte del territorio del Perú, y, dadas sus características geográficas, existe mucha influencia cultural de Colombia y Brasil. Desde la perspectiva metodológica, se basó en un enfoque cuantitativo, de nivel descriptivo, con un diseño de campo, no experimental, transversal, que se apoyó en encuestas aplicadas a los tenientes gobernadores de los poblados ubicados en las fronteras con Colombia y Brasil. Una vez desarrollado el trabajo de campo, se realizó el procesamiento de la información, generando así el análisis descriptivo, la discusión de los resultados y la propuesta de modelo. En esencia, se llegó a la conclusión de que existen importantes limitaciones en el modelo actual de difusión de los PIP en el Departamento de Loreto, debilidades concernientes a todos los elementos de la comunicación: emisores dispersos y no preparados, receptores no caracterizados, canales desaprovechados, mensajes no codificados ni contextualizados, retroalimentación no estimulada. En vista de lo cual se diseña un Modelo de Comunicación Efectiva para la Difusión de los PIP (MCE-D-PIP) que plantea el desarrollo de una Sala Situacional de Comunicación Efectiva (SSCE– PIP), que permita potenciar los roles de productores, consumidores y prosumidores de la información, mediante la diversificación de los canales y una especializada codificación del mensaje, en función del contexto: diversidad cultural, condiciones educativas, factores tecnológicos, entre otros. metadata Gallo Infantes, Francisco Antonio and Arambarri, Jon and Cadillo López, Claudet and Lloret Romero, Nuria mail UNSPECIFIED, jon.arambarri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Modelo de comunicación efectiva para la difusión de los programas y proyectos de inversión pública del departamento de Loreto (Perú). MLS Educational Research, 7 (1). ISSN 2603-5820

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books Abierto Español Se decidió realizar esta investigación, para intentar resolver una problemática muy actual y muy real, y a la vez urgente, en relación a la innovación tecnológica y nivel de automatización en las pequeñas empresas en Panamá. Este tema es de gran relevancia en el país, al formar parte de los esfuerzos para mantenerse competitivos en el entorno tanto local como global. El enfoque de la investigación es explicativo, pues se concentra en identificar la raíz o causa del problema, para entonces así, atacarlo con la propuesta de solución ofrecida. Luego de una extensa revisión bibliográfica en torno al tema, estado del arte, análisis de datos y diagnósticos, el enfoque estuvo en las tecnologías exponenciales, por ofrecer el mayor potencial de lograr una solución más sostenible en el tiempo. Los resultados principalmente arrojan debilidades en relación a conocimientos de alfabetización digital y competencias digitales. Debido a la urgencia para dar solución a la problemática, y tomando en cuenta los vacíos existentes, la propuesta se enfoca en soluciones empaquetadas en la nube informática, que provean de todos los elementos necesarios para dar respuesta a la problemática. Todo esto deberá ir acompañado de un plan de capacitación para sacarle el mayor provecho, y situar a la pequeña empresa en un lugar de mayor competitividad. metadata Arambarri, Jon and Briceño Méndez, Teodolinda mail jon.arambarri@uneatlantico.es, UNSPECIFIED (2023) Modelo holístico para la innovación tecnológica en la pequeña empresa en Panamá. Project Design and Management, 5 (2). ISSN 2683-1597

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Cerrado Inglés BACKGROUND: The Andean blackberry (Rubus glaucus Benth) is one of Ecuador’s most iconic Andean berries for which a high anthocyanin content has been described. OBJECTIVE: The aim of the present study was to determine the chemical composition and anti-inflammatory potential of the Andean blackberry from Ecuador, with an emphasis on its effects on NLRP3 inflammasome activation and autophagy processes. RESULTS: Andean blackberry extracts were rich in hydroxycinnamates (coumaric acid and derivates), in addition to quercetin and kaempferol as principal flavonols. Cyanidin and its glycosides were identified as the main anthocyanins present. Andean blackberry extracts efficiently reduced oxidative stress markers in the lipopolysaccharide-stimulated RAW 264.7 cells. The extracts also caused a moderate decrease in the expression of the pro-inflammatory and antioxidant genes NFκB1, TNF, IL-1β, IL-6, and NOS2 expression, while they significantly increased the mRNA levels of both SOD1 and NFE2L2 genes. Andean blackberry extracts significantly decreased the activation of the NLRP3 inflammasome complex, as well as p62 levels, and the LC3I/LC3II ratio increased, suggesting a direct action of Andean blackberry compounds on the inflammatory response and restoration of the autophagy process. CONCLUSIONS:These results suggest that Andean blackberries potentially have an anti-inflammatory effect through their ability to regulate genes related to the inflammatory and antioxidant response, as well as modulate the activation of the NLRP3 inflammasome complex and autophagy processes. metadata Castejón-Vega, Beatriz and Kyriakidis, Nikolaos C. and Alcócer-Gómez, Elizabet and Giampieri, Francesca and González-Paramás, Ana M. and Cordero, Mario D. and Alvarez-Suarez, José M. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Modulatory effect of Andean blackberry polyphenols on genes related to antioxidant and inflammatory responses, the NLRP3 inflammasome, and autophagy. Journal of Berry Research. pp. 1-19. ISSN 18785093

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Alzheimer’s Disease (AD) is the cause of around 60–70% of global cases of dementia and approximately 50 million people have been reported to suffer this disease worldwide. The leaves of olive trees (Olea europaea) are the most abundant by-products of the olive grove industry. These by-products have been highlighted due to the wide variety of bioactive compounds such as oleuropein (OLE) and hydroxytyrosol (HT) with demonstrated medicinal properties to fight AD. In particular, the olive leaf (OL), OLE, and HT reduced not only amyloid-β formation but also neurofibrillary tangles formation through amyloid protein precursor processing modulation. Although the isolated olive phytochemicals exerted lower cholinesterase inhibitory activity, OL demonstrated high inhibitory activity in the cholinergic tests evaluated. The mechanisms underlying these protective effects may be associated with decreased neuroinflammation and oxidative stress via NF-κB and Nrf2 modulation, respectively. Despite the limited research, evidence indicates that OL consumption promotes autophagy and restores loss of proteostasis, which was reflected in lower toxic protein aggregation in AD models. Therefore, olive phytochemicals may be a promising tool as an adjuvant in the treatment of AD. metadata Romero-Márquez, Jose M. and Forbes-Hernández, Tamara Y. and Navarro-Hortal, María D. and Quirantes-Piné, Rosa and Grosso, Giuseppe and Giampieri, Francesca and Lipari, Vivian and Sánchez-González, Cristina and Battino, Maurizio and Quiles, José L. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, vivian.lipari@uneatlantico.es, UNSPECIFIED, maurizio.battino@uneatlantico.es, jose.quiles@uneatlantico.es (2023) Molecular Mechanisms of the Protective Effects of Olive Leaf Polyphenols against Alzheimer’s Disease. International Journal of Molecular Sciences, 24 (5). p. 4353. ISSN 1422-0067

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Background and Aims The 2022-mpox outbreak has spread worldwide in a short time. Integrated knowledge of the epidemiology, clinical characteristics, and transmission of mpox are limited. This systematic review of peer-reviewed articles and gray literature was conducted to shed light on the epidemiology, clinical features, and transmission of 2022-mpox outbreak. Methods We identified 45 peer-reviewed manuscripts for data analysis. The standards of the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) Statement and Cochrane Collaboration were followed for conducting the study. Results The case number of mpox has increased about 100 times worldwide. About 99% of the cases in 2022 outbreak was from non-endemic regions. Men (70%–98% cases) were mostly infected with homosexual and bisexual behavior (30%–60%). The ages of the infected people ranged between 30 and 40 years. The presence of HIV and sexually transmitted infections among 30%–60% of cases were reported. Human-to-human transmission via direct contact and different body fluids were involved in the majority of the cases (90%–100%). Lesions in genitals, perianal, and anogenital areas were more prevalent. Unusually, pharyngitis (15%–40%) and proctitis (20%–40%) were more common during 2022 outbreak than pre-2022 outbreaks. Brincidofovir is approved for the treatment of smallpox by FDA (USA). Two vaccines, including JYNNEOSTM and ACAM2000®, are approved and used for pre- and post-prophylaxis in cases. About 100% of the cases in non-endemic regions were associated with isolates of IIb clade with a divergence of 0.0018–0.0035. Isolates from B.1 lineage were the most predominant followed by B.1.2 and B.1.10. Conclusion This study will add integrated knowledge of the epidemiology, clinical features, and transmission of mpox. metadata Sharif, Nadim and Sharif, Nazmul and Alzahrani, Khalid J. and Halawani, Ibrahim F. and Alzahrani, Fuad M. and Díez, Isabel De la Torre and Lipari, Vivian and López Flores, Miguel Ángel and Parvez, Anowar K. and Dey, Shuvra K. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, vivian.lipari@uneatlantico.es, miguelangel.lopez@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Molecular epidemiology, transmission and clinical features of 2022‐mpox outbreak: A systematic review. Health Science Reports, 6 (10). ISSN 2398-8835

Book Section Subjects > Teaching Europe University of Atlantic > Research > Articles and books Abierto Español UNSPECIFIED metadata Alexeeva-Alexeev, Inna and Mazas Pérez-Oleaga, Cristina mail inna.alexeeva@uneatlantico.es, cristina.mazas@uneatlantico.es (2023) Motivación laboral como eje de la gestión de recursos humanos en una empresa. Estudio empírico sobre la valoración de los motores de la motivación por los empleados y alumnos universitarios. In: Nuevas tendencias en gestión e innovación empresarial. Adaptación a los nuevos escenarios globales y domésticos. Conocimiento Contemporáneo . Dykinson, Madrid, pp. 125-149. ISBN 9788411229241

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés Antimicrobial and multidrug resistance (MDR) pathogens are becoming one of the major health threats among children. Integrated studies on the molecular epidemiology and prevalence of AMR and MDR diarrheal pathogens are lacking. A total of 404 fecal specimens were collected from children with diarrhea in Bangladesh from January 2019 to December 2021. We used conventional bacteriologic and molecular sequence analysis methods. Phenotypic and genotypic resistance were determined by disk diffusion and molecular sequencing methods. Fisher’s exact tests with 95% confidence intervals (CIs) was performed. Prevalence of bacterial infection was 63% (251 of 404) among children with diarrhea. E. coli (29%) was the most prevalent. E. coli, Shigella spp., V. cholerae, and Salmonella spp., showed the highest frequency of resistance against ceftriaxone (75–85%), and erythromycin (70–75%%). About 10–20% isolates of E. coli, V. cholerae and Shigella spp. showed MDR against cephem, macrolides, and quinolones. Significant association (p value < 0.05) was found between the phenotypic and genotypic resistance. The risk of diarrhea was the highest among the patients co-infected with E. coli and rotavirus [OR 3.6 (95% CI 1.1–5.4) (p = 0.001)] followed by Shigella spp. and rotavirus [OR 3.5 (95% CI 0.5–5.3) (p = 0.001)]. This study will provide an integrated insight of molecular epidemiology and antimicrobial resistance profiling of bacterial pathogens among children with diarrhea in Bangladesh. metadata Sharif, Nadim and Ahmed, Shamsun Nahar and Khandaker, Shamim and Monifa, Nuzhat Haque and Abusharha, Ali and Ramírez-Vargas, Debora L. and Díez, Isabel De la Torre and Kuc Castilla, Ángel Gabriel and Talukder, Ali Azam and Parvez, Anowar Khasru and Dey, Shuvra Kanti mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, debora.ramirez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Multidrug resistance pattern and molecular epidemiology of pathogens among children with diarrhea in Bangladesh, 2019–2021. Scientific Reports, 13 (1). ISSN 2045-2322

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books Abierto Inglés Integrating geomatics remote sensing technologies, including 3D terrestrial laser scanning, unmanned aerial vehicles, and ground penetrating radar enables the generation of comprehensive 2D, 2.5D, and 3D documentation for caves and their surroundings. This study focuses on the Altamira Cave’s karst system in Spain, resulting in a thorough 3D mapping encompassing both cave interior and exterior topography along with significant discontinuities and karst features in the vicinity. Crucially, GPR mapping confirms that primary vertical discontinuities extend from the near-surface (Upper Layer) to the base of the Polychrome layer housing prehistoric paintings. This discovery signifies direct interconnections helping with fluid exchange between the cave’s interior and exterior, a groundbreaking revelation. Such fluid movement has profound implications for site conservation. The utilization of various GPR antennas corroborates the initial hypothesis regarding fluid exchanges and provides concrete proof of their occurrence. This study underscores the indispensability of integrated 3D mapping and GPR techniques for monitoring fluid dynamics within the cave. These tools are vital for safeguarding Altamira, a site of exceptional significance due to its invaluable prehistoric cave paintings. metadata Bayarri Cayón, Vicente and Prada, Alfredo and García, Francisco mail vicente.bayarri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) A Multimodal Research Approach to Assessing the Karst Structural Conditions of the Ceiling of a Cave with Palaeolithic Cave Art Paintings: Polychrome Hall at Altamira Cave (Spain). Sensors, 23 (22). p. 9153. ISSN 1424-8220

Article Subjects > Biomedicine
Subjects > Physical Education and Sport
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books Cerrado Inglés Background Structural, metabolic and functional signs of skeletal muscle damage have been identified in subjects affected by type 1 diabetes (T1D), but, to date, no guidelines for the diagnosis and treatment of muscle impairment exist and studies on T1D and muscle health are still limited. The aim of this cross-sectional study was to evaluate the prevalence of sarcopenia in a long-term T1D population and to assess the impact of some clinical parameters on muscle mass and function. Methods 39 patients affected by T1D were enrolled, and Body Mass Index (BMI), body composition (Appendicular Lean Mass Index-ALMI and Fat Mass-FM) and muscle strength were measured. Additionally, the relationship between Mediterranean Diet (MD) adherence and sarcopenia was assessed. Results In our sample (mean age 49.32±13.49 years, 41.1% women, mean duration of diabetes 30.13±12.28 years), the prevalence of sarcopenia was 7.7% (12.5 % in women and 4.35% in men), while the prevalence of low ALMI was 23.1% (25% in women and 21.74% in men). We found significant inverse correlations between ALMI and duration of diabetes and ALMI vs. FM; and significant positive correlations between ALMI and BMI, physical activity level and muscle strength. At the same time, significant inverse correlations were observed between muscle strength and duration of diabetes and muscle strength vs. FM. Conclusions We observed a high prevalence of low muscle mass, similar to those found in the older age groups of the general population (25 years in advance) and our findings suggest a possible pathogenetic role of T1D duration on muscle trophism and function. metadata Pollakova, Daniela and Tubili, Claudio and Folco, Ugo Di and De Giuseppe, Rachele and Battino, Maurizio and Giampieri, Francesca mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es (2023) Muscular involvement in long term type 1 diabetes: does it represent an underestimated complication? Nutrition. p. 112060. ISSN 08999007

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Abierto Inglés Background: Here, Leishmania presence in sand flies from Três Lagoas, Mato Grosso do Sul, Brazil, after visceral leishmaniasis (VL) was investigated. Methods: In April 2022, two light traps were deployed within and around the residence for two days post-VL case report. Results: A total of 120 Lutzomyia longipalpis were collected. Suprapyloric flagellates were found in a female sand fly with eggs and residual blood during midgut dissection. Sequencing of ITS1 and cytb fragments confirmed Leishmania infantum DNA and identified Homo sapiens as the blood source, respectively. Conclusions: This study emphasizes the importance of monitoring sand flies in VL endemic areas. metadata Neitzke-Abreu, Herintha Coeto and Medeiros de Castro Andrade, Georgia and Almeida, Paulo Silva de and Ribeiro, Gilmar Cipriano and Ribeiro, D and Pussi and Ovallos, Fredy Galvis mail UNSPECIFIED (2023) Natural infection of Lutzomyia longipalpis (Lutz & Neiva, 1912) by Leishmania infantum in a municipality with a high incidence of visceral leishmaniasis in the Brazilian Midwest. Revista da Sociedade Brasileira de Medicina Tropical, 56. e0259-2023.

Article Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books Abierto Inglés, Portugués El escenario de la opresión femenina ha tomado espacio en todo el mundo, despojando a las mujeres de sus derechos más fundamentales. Este contexto comienza a cambiar de manera más efectiva, recién a partir del siglo XX, cuando las mujeres comienzan a escalar los espacios sociales y reclamar sus derechos de manera más asertiva. En Brasil, este proceso se desarrolló lenta y gradualmente. En el escenario político, fue recién el 24 de febrero de 1932, a través de la promulgación de la Constitución Federal de 1934, que el Código Electoral pasó a garantizar el sufragio femenino, una de las principales conquistas de la mujer brasileña en este siglo. En 1988, un grupo de mujeres abrió espacio para el ingreso y la participación activa de las mujeres en el escenario político nacional, siendo considerada un hito de los derechos civiles en Brasil y garantizando la eficacia de las políticas públicas en la defensa de sus intereses. En este contexto, este artículo cualitativo de revisión bibliográfica realizó una investigación documental a través del método deductivo, buscando comprender la importancia de la participación femenina registrada en la Constitución de 1988, responsable de encadenar un importante proceso de empoderamiento de las mujeres, desencadenando el derecho a la igualdad de género. tan necesaria en vista del contexto de violencia en el país. Esa ocupación en el escenario político vino a garantizar importantes reformas legales, como la Ley Maria da Penha, un hito de la violencia contra la mujer metadata Magalhaes Conceição, Manuela Bonfim mail UNSPECIFIED (2023) Necessidade de políticas públicas para combater a violência de género no Brasil. MLS Law and International Politics, 2 (1). ISSN 2952-248X

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Lumbar spine stenosis (LSS) is caused by low back pain that exerts pressure on the nerves in the spine. Detecting LSS is a significantly important yet difficult task. It is detected by analyzing the area of the anteroposterior diameter of the patient’s lumbar spine. Currently, the versatility and accuracy of LSS segmentation algorithms are limited. The objective of this research is to use magnetic resonance imaging (MRI) to automatically categorize LSS. This study presents a convolutional neural network (CNN)-based method to detect LSS using MRI images. Radiological grading is performed on a publicly available dataset. Four regions of interest (ROIs) are determined to diagnose LSS with normal, mild, moderate, and severe gradings. The experiments are performed on 1545 axial-view MRI images. Furthermore, two datasets—multi-ROI and single-ROI—are created. For training and testing, an 80:20 ratio of randomly selected labeled datasets is used, with fivefold cross-validation. The results of the proposed model reveal a 97.01% accuracy for multi-ROI and 97.71% accuracy for single-ROI. The proposed computer-aided diagnosis approach can significantly improve diagnostic accuracy in everyday clinical workflows to assist medical experts in decision making. The proposed CNN-based MRI image segmentation approach shows its efficacy on a variety of datasets. Results are compared to existing state-of-the-art studies, indicating the superior performance of the proposed approach. metadata Shahzadi, Turrnum and Ali, Muhammad Usman and Majeed, Fiaz and Sana, Muhammad Usman and Martínez Díaz, Raquel and Samad, Md Abdus and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, raquel.martinez@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Nerve Root Compression Analysis to Find Lumbar Spine Stenosis on MRI Using CNN. Diagnostics, 13 (18). p. 2975. ISSN 2075-4418

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés COVID-19 is an infectious disease caused by the deadly virus SARS-CoV-2 that affects the lung of the patient. Different symptoms, including fever, muscle pain and respiratory syndrome, can be identified in COVID-19-affected patients. The disease needs to be diagnosed in a timely manner, otherwise the lung infection can turn into a severe form and the patient’s life may be in danger. In this work, an ensemble deep learning-based technique is proposed for COVID-19 detection that can classify the disease with high accuracy, efficiency, and reliability. A weighted average ensemble (WAE) prediction was performed by combining three CNN models, namely Xception, VGG19 and ResNet50V2, where 97.25% and 94.10% accuracy was achieved for binary and multiclass classification, respectively. To accurately detect the disease, different test methods have been proposed and developed, some of which are even being used in real-time situations. RT-PCR is one of the most successful COVID-19 detection methods, and is being used worldwide with high accuracy and sensitivity. However, complexity and time-consuming manual processes are limitations of this method. To make the detection process automated, researchers across the world have started to use deep learning to detect COVID-19 applied on medical imaging. Although most of the existing systems offer high accuracy, different limitations, including high variance, overfitting and generalization errors, can be found that can degrade the system performance. Some of the reasons behind those limitations are a lack of reliable data resources, missing preprocessing techniques, a lack of proper model selection, etc., which eventually create reliability issues. Reliability is an important factor for any healthcare system. Here, transfer learning with better preprocessing techniques applied on two benchmark datasets makes the work more reliable. The weighted average ensemble technique with hyperparameter tuning ensures better accuracy than using a randomly selected single CNN model. metadata Chakraborty, Gouri Shankar and Batra, Salil and Singh, Aman and Muhammad, Ghulam and Yélamos Torres, Vanessa and Mahajan, Makul mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, vanessa.yelamos@funiber.org, UNSPECIFIED (2023) A Novel Deep Learning-Based Classification Framework for COVID-19 Assisted with Weighted Average Ensemble Modeling. Diagnostics, 13 (10). p. 1806. ISSN 2075-4418

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Twenty years after its discovery, hepcidin is still considered the main regulator of iron homeostasis in humans. The increase in hepcidin expression drastically blocks the flow of iron, which can come from one’s diet, from iron stores, and from erythrophagocytosis. Many anemic conditions are caused by non-physiologic increases in hepcidin. The sequestration of iron in the intestine and in other tissues poses worrying premises in view of discoveries about the mechanisms of ferroptosis. The nutritional treatment of these anemic states cannot ignore the nutritional modulation of hepcidin, in addition to the bioavailability of iron. This work aims to describe and summarize the few findings about the role of hepcidin in anemic diseases and ferroptosis, as well as the modulation of hepcidin levels by diet and nutrients. metadata D’Andrea, Patrizia and Giampieri, Francesca and Battino, Maurizio mail UNSPECIFIED, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es (2023) Nutritional Modulation of Hepcidin in the Treatment of Various Anemic States. Nutrients, 15 (24). p. 5081. ISSN 2072-6643

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Olive-derived bioactive compound oleuropein was evaluated against damage induced by hydrogen peroxide in human trophoblast cells in vitro, by examining the changes in several markers implicated in oxidative stress interactions in the placenta. Trophoblast HTR-8/SVneo cells were preincubated with OLE at 10 and 100 µM and exposed to H2O2, as a model of oxidative stress. Protein and lipid peroxidation, as well as antioxidant enzymes’ activity, were determined spectrophotometrically, and DNA damage was evaluated by comet assay. iNOS protein expression was assessed by Western blot, while the mRNA expression of pro- and anti-apoptotic genes BAX and BCL2 and transcription factor NFE2L2, as well as cytokines IL-6 and TNF α were determined by qPCR. Oleuropein demonstrated cytoprotective effects against H2O2 in trophoblast cells by significantly improving the antioxidant status and preventing protein and lipid damage, as well as reducing the iNOS levels. OLE reduced the mRNA expression of IL-6 and TNF α, however, it did not influence the expression of NFE2L2 or the BAX/BCL2 ratio after H2O2 exposure. Oleuropein per se did not lead to any adverse effects in HTR-8/SVneo cells under the described conditions, confirming its safety in vitro. In conclusion, it significantly attenuated oxidative damage and restored antioxidant functioning, confirming its protective role in trophoblast metadata Pirković, Andrea and Vilotić, Aleksandra and Borozan, Sunčica and Nacka-Aleksić, Mirjana and Bojić-Trbojević, Žanka and Krivokuća, Milica Jovanović and Battino, Maurizio and Giampieri, Francesca and Dekanski, Dragana mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es, UNSPECIFIED (2023) Oleuropein Attenuates Oxidative Stress in Human Trophoblast Cells. Antioxidants, 12 (1). p. 197. ISSN 2076-3921

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books Cerrado Inglés The Internet of Things (IoT) has recently surpassed wired communication. WiMAX is a wireless transmission technology that allows for faster internet access. Wireless network innovations, like some other communication networks, are not safe and secure. Security and authorization models are intended to prevent unauthorized use of network services. Numerous authorization and encrypted communication mechanisms have been introduced for WiMAX privacy, but the communication systems are still insecure and vulnerable to attacks such as zero-day attacks, rouge base station attacks, Man in the Middle (MITM) attacks, and Denial of Service (DoS) attacks. Wireless technologies have come a long way in the last few decades. Because most wireless transmission systems rely on radio signals, the system channel is essentially vulnerable to interception. As a result, data security is always critical in the presentation of a system. Because WiMAX is a wireless communication technology, it is particularly vulnerable to interception, so security is a top priority. Individuals must be protected from security breaches that occur across network interfaces, networking devices, and everything in between. Robust security management is required to protect WiMAX from attacks and vulnerabilities, despite the fact that emerging Artificial Intelligence (AI) technologies necessitate different security governance than existing technologies. We proposed an Optimized Privacy Information Exchange Schema for Explainable AI Empowered WiMAX-based IoT that addresses vulnerabilities and threats during the identification and authorization phases to improve the functionality and performance characteristics of the traditional system. The Scyther tool was used to validate the proposed privacy scheme, which is safer and more secure than existing systems. metadata Chithaluru, Premkumar and Singh, Aman and Dhatterwal, Jagjit Singh and Sodhro, Ali Hassan and Albahar, Marwan Ali and Jurcut, Anca and Alkhayyat, Ahmed mail UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) An Optimized Privacy Information Exchange Schema for Explainable AI Empowered WiMAX-based IoT networks. Future Generation Computer Systems, 148. pp. 225-239. ISSN 0167739X

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The rising popularity of online shopping has led to a steady stream of new product evaluations. Consumers benefit from these evaluations as they make purchasing decisions. Many research projects rank products using these reviews, however, most of these methodologies have ignored negative polarity while evaluating products for client needs. The main contribution of this research is the inclusion of negative polarity in the analysis of product rankings alongside positive polarity. To account for reviews that contain many sentiments and different elements, the suggested method first breaks them down into sentences. This process aids in determining the polarity of products at the phrase level by extracting elements from product evaluations. The next step is to link the polarity to the review’s sentence-level features. Products are prioritized following user needs by assigning relative importance to each of the polarities. The Amazon review dataset has been used in the experimental assessments so that the efficacy of the suggested approach can be estimated. Experimental evaluation of PRUS utilizes rank score ( RS ) and normalized discounted cumulative gain ( nDCG ) score. Results indicate that PRUS gives independence to the user to select recommended list based on specific features with respect to positive or negative aspects of the products. metadata Hussain, Naveed and Mirza, Hamid Turab and Iqbal, Faiza and Altaf, Ayesha and Shoukat, Ahtsham and Gracia Villar, Mónica and Soriano Flores, Emmanuel and Rojo Gutiérrez, Marco Antonio and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es, emmanuel.soriano@uneatlantico.es, marco.rojo@unini.edu.mx, UNSPECIFIED (2023) PRUS: Product Recommender System Based on User Specifications and Customers Reviews. IEEE Access, 11. pp. 81289-81297. ISSN 2169-3536

Article Subjects > Biomedicine
Subjects > Physical Education and Sport
Europe University of Atlantic > Research > Articles and books Abierto Inglés Background To successfully implement exercise programs for patients with metastatic breast cancer (MBC), services and patient education should consider patients’ knowledge, preferences, values, and goals. Hence, gaining insight into their perspectives on exercise and exercise programming is important. Method In this cross-sectional survey, we recruited patients with MBC from the Netherlands, Germany, Poland, Spain, and Sweden. We collected data on patients’ knowledge and skills about exercise and outcome expectations. We identified barriers to and facilitators of participation in exercise programs, and patients’ preferences for program content and modes of exercise delivery. Results A total of 420 patients participated in the survey. Respondents were, on average, 56.5 years old (SD 10.8) and 70% had bone metastases. Sixty-eight percent reported sufficient skills to engage in aerobic exercise, but only 35% did so for resistance exercise. Respondents expected exercise to have multiple physical benefits, but a few patients expected exercise to worsen their pain (5%). Not having access to an exercise program for cancer patients (27%), feeling too tired (23%), and/or weak (23%) were the most often reported barriers. Facilitators for exercising regularly were previous positive physical (72%) and emotional (68%) experiences with exercising, and receiving personalized advice from a physiotherapist or sport/fitness instructor (62%). Patients were most interested in walking and preferred exercising at a public gym, although there were differences by country. Fifty-seven percent did not know whether their insurance company reimburses exercise programs and only 9% would be willing to pay more than €50 per month to participate. Conclusion A large percentage of patients with MBC lack the skills to engage in regular exercise as recommended by exercise guidelines for people with cancer. Patients may benefit from personalized advice and appropriate training facilities to overcome barriers. When implementing exercise interventions, attention should be given to reimbursement and the relatively low willingness-to-pay. metadata Sweegers, Maike G. and Depenbusch, Johanna and Kampshoff, Caroline S. and Aaronson, Neil K. and Hiensch, Anouk and Wengström, Yvonne and Backman, Malin and Gunasekara, Nadira and Clauss, Dorothea and Peláez, Mireia and Lachowicz, Milena and May, Anne M. and Steindorf, Karen and Stuiver, Martijn M. and Arrieta, Haritz and Toribio, María Gutiérrez and Santillan, María López and Tol, Jolien and Malter, Wolfram and Puppe, Julian mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, mireia.pelaez@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Perspectives of patients with metastatic breast cancer on physical exercise programs: results from a survey in five European countries. Supportive Care in Cancer, 31 (12). ISSN 0941-4355

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Plant-based milk alternatives can be distinguished in two main categories, differing in production processes and regulation: plant-based formulas and plant-based drinks. They are now a widely accepted class of products on the international market. The various plant-based milk alternatives differ in nutritional characteristics due to their origin and manufacturing; more importantly, whereas formulas from plant and cow origin can be used interchangeably, plant-based drinks are nutritionally different from cow’s milk and can be consumed by children subsequently to the use of formula. Several scientific organizations have expressed differing opinions on the use of these products in the diets of children. In the face of unanimous conclusions regarding the use of these products during the first year of life, in subsequent ages there were conflicting opinions regarding the timing, quantities, and type of product to be used. From the viewpoint of the child’s overall diet and health, it could be suggested that these foods be considered not as simple substitutes for cow’s milk, but as part of a varied diet, within individual advice of use. We suggest accepting the presence of these products in a baby’s diet (omnivores included), planning their use correctly in the context of a balanced diet, according to the specific product and the needs of the individual. metadata Brusati, Marco and Baroni, Luciana and Rizzo, Gianluca and Giampieri, Francesca and Battino, Maurizio mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es (2023) Plant-Based Milk Alternatives in Child Nutrition. Foods, 12 (7). p. 1544. ISSN 2304-8158

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Cerrado Inglés Inflammatory bowel disease (IBD) patients are at substantially higher risk of colorectal cancer (CRC) and IBD-associated CRC accounts for roughly 10-15% of the annual mortality in IBD patients. IBD-related CRC also affects younger patients if compared with sporadic CRC, with a 5-year survival rate of 50%. Regardless of medical therapies, the persistent inflammation state characterizing IBD raises the risk for precancerous changes and CRC, with additional input from several elements including genetic and environmental risk factors, IBD-associated comorbidities, intestinal barrier disfunction, and gut microbiota modifications. It is well known that nutritional habits and dietary bioactive compounds can influence IBD-associated inflammation, microbiome abundance and composition, oxidative stress balance, and gut permeability. In addition, in the last years, results from broad epidemiological and experimental studies have associated certain foods or nutritional patterns with the risk of colorectal neoplasia. Here we review the possible role of nutrition in the prevention of IBD-related CRC, focusing specifically on human studies. In conclusion it emerges that nutritional interventions based on healthy, nutrient-dense dietary patterns characterized by a high intake of fiber, vegetables, fruit, Omega-3 PUFAs, and low amount of animal proteins, processed foods and alcohol, combined with probiotic supplementation have the potential of reducing IBD-activity and preventing the risk of IBD-related CRC through different mechanisms, suggesting that targeted nutritional interventions may represent a novel promising approach for the prevention and management of IBD-associated CRC. metadata Cassotta, Manuela and Cianciosi, Danila and De Giuseppe, Rachele and Navarro-Hortal, Maria Dolores and Diaz, Yasmany Armas and Forbes-Hernández, Tamara Yuliett and Tutusaus, Kilian and Pascual Barrera, Alina Eugenia and Grosso, Giuseppe and Xiao, Jianbo and Battino, Maurizio and Giampieri, Francesca mail manucassotta@gmail.com, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, kilian.tutusaus@uneatlantico.es, alina.pascual@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es (2023) Possible role of nutrition in the prevention of Inflammatory Bowel Disease-related colorectal cancer: a focus on human studies. Nutrition. p. 111980. ISSN 08999007

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés This paper introduces a power quality (PQ) detection and categorization algorithm actuated by multiple signal processing techniques and rule-based decision tree (RBDT). This is aimed to recognize PQ events of simple nature and higher order multiplicity with less computational time using hybridization of the signal processing techniques. A voltage waveform with a PQ event (PQE) is processed using the Stockwell transform (ST) to compute the Stockwell PQ detection index (SPDI). The voltage waveform is also processed using the Hilbert transform (HT) to compute the Hilbert PQ detection index (HPDI). A voltage waveform is also decomposed using the Discrete Wavelet transform (DWT) to compute the classification feature index (CFI) [CFI1 to CFI4]. A combined PQ detection index (CPDI) is computed by multiplication of the SPDI, the HPDI and CFI1 to CFI4. Incidence of a PQE on a voltage signal is located with the help of a location PQ disturbance index (LPDI) which is computed by differentiating the CPDI with respect to time. CFI5, CFI6 and CFI7 are computed from the SPDI, the HPDI and the CPDI, respectively. Categorization of PQ events is performed using CFI1 to CFI7 by the rule-based decision tree (RBDT) with the help of simple decision rules. We conclude that the proposed algorithm is effective to identify the PQE with an accuracy of 98.58% in a noise-free environment and 97.62% in the presence of 20 dB SNR (signal-to-noise ratio) noise. Ten simple nature PQEs and eight combined PQ events (CPQEs) with multiplicity of two, three and four are effectively detected and categorized using the algorithm. The algorithm is also tested to detect a sag PQ event due to a line-to-ground (LG) fault incident on a practical distribution utility network. The performance of the investigated method is compared with a DWT-based technique in terms of accuracy of classification with and without noise, maximum computational time of PQ detection and multiplicity of PQE which can be effectively detected. A simulation is performed using the MATLAB software. MATLAB codes are used for modelling the PQE disturbances and the proposed algorithm using mathematical formulations. metadata Singh, Surendra and Sharma, Avdhesh and Garg, Akhil Ranjan and Mahela, Om Prakash and Khan, Baseem and Boulkaibet, Ilyes and Neji, Bilel and Ali, Ahmed and Brito Ballester, Julién mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, julien.brito@uneatlantico.es (2023) Power Quality Detection and Categorization Algorithm Actuated by Multiple Signal Processing Techniques and Rule-Based Decision Tree. Sustainability, 15 (5). p. 4317. ISSN 2071-1050

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Cerrado Inglés Rice is a staple food for roughly half of the world’s population. Some farmers prefer rice cultivation to other crops because rice can thrive in a wide range of environments. Several studies have found that about 70% of India’s population relies on agriculture in some way and that agribusiness accounts for about 17% of India’s GDP. In India, rice is one of the most important crops, but it is vulnerable to a number of diseases throughout the growing process. Farmers’ manual identification of these diseases is highly inaccurate due to their lack of medical expertise. Recent advances in deep learning models show that automatic image recognition systems can be extremely useful in such situations. In this paper, we propose a suitable and effective system for predicting diseases in rice leaves using a number of different deep learning techniques. Images of rice leaf diseases were gathered and processed to fulfil the algorithmic requirements. Initially, features were extracted by using 32 pre-trained models, and then we classified the images of rice leaf diseases such as bacterial blight, blast, and brown spot with numerous machine learning and ensemble learning classifiers and compared the results. The proposed procedure works better than other methods that are currently used. It achieves 90–91% identification accuracy and other performance parameters such as precision, Recall Rate, F1-score, Matthews Coefficient, and Kappa Statistics on a normal data set. Even after the segmentation process, the value reaches 93–94% for model EfficientNetV2B3 with ET and HGB classifiers. The proposed model efficiently recognises rice leaf diseases with an accuracy of 94%. The experimental results show that the proposed procedure is valid and effective for identifying rice diseases. metadata Aggarwal, Meenakshi and Khullar, Vikas and Goyal, Nitin and Singh, Aman and Tolba, Amr and Bautista Thompson, Ernesto and Kumar, Sushil mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, ernesto.bautista@unini.edu.mx, UNSPECIFIED (2023) Pre-Trained Deep Neural Network-Based Features Selection Supported Machine Learning for Rice Leaf Disease Classification. Agriculture, 13 (5). p. 936. ISSN 2077-0472

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production
Abierto Inglés Objective The aim was to explore the association of demographic and prehospital parameters with short-term and long-term mortality in acute life-threatening cardiovascular disease by using a hazard model, focusing on elderly individuals, by comparing patients under 75 years versus patients over 75 years of age. Design Prospective, multicentre, observational study. Setting Emergency medical services (EMS) delivery study gathering data from two back-to-back studies between 1 October 2019 and 30 November 2021. Six advanced life support (ALS), 43 basic life support and five hospitals in Spain were considered. Participants Adult patients suffering from acute life-threatening cardiovascular disease attended by the EMS. Primary and secondary outcome measures The primary outcome was in-hospital mortality from any cause within the first to the 365 days following EMS attendance. The main measures included prehospital demographics, biochemical variables, prehospital ALS techniques used and syndromic suspected conditions. Results A total of 1744 patients fulfilled the inclusion criteria. The 365-day cumulative mortality in the elderly amounted to 26.1% (229 cases) versus 11.6% (11.6%) in patients under 75 years old. Elderly patients (≥75 years) presented a twofold risk of mortality compared with patients ≤74 years. Life-threatening interventions (mechanical ventilation, cardioversion and defibrillation) were also related to a twofold increased risk of mortality. Importantly, patients suffering from acute heart failure presented a more than twofold increased risk of mortality. Conclusions This study revealed the prehospital variables associated with the long-term mortality of patients suffering from acute cardiovascular disease. Our results provide important insights for the development of specific codes or scores for cardiovascular diseases to facilitate the risk of mortality characterisation. metadata del Pozo Vegas, Carlos and Zalama-Sánchez, Daniel and Sanz-Garcia, Ancor and López-Izquierdo, Raúl and Sáez-Belloso, Silvia and Mazas Pérez-Oleaga, Cristina and Dominguez Azpíroz, Irma and Elío Pascual, Iñaki and Martín-Rodríguez, Francisco mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, cristina.mazas@uneatlantico.es, irma.dominguez@unini.edu.mx, inaki.elio@uneatlantico.es, UNSPECIFIED (2023) Prehospital acute life-threatening cardiovascular disease in elderly: an observational, prospective, multicentre, ambulance-based cohort study. BMJ Open, 13 (11). e078815. ISSN 2044-6055

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Background: Nowadays, there is no gold standard score for prehospital sepsis and sepsis-related mortality identification. The aim of the present study was to analyze the performance of qSOFA, NEWS2 and mSOFA as sepsis predictors in patients with infection-suspected in prehospital care. The second objective is to study the predictive ability of the aforementioned scores in septic-shock and in-hospital mortality. Methods: Prospective, ambulance-based, and multicenter cohort study, developed by the emergency medical services, among patients (n = 535) with suspected infection transferred by ambulance with high-priority to the emergency department (ED). The study enrolled 40 ambulances and 4 ED in Spain between 1 January 2020, and 30 September 2021. All the variables used in the scores, in addition to socio-demographic data, standard vital signs, prehospital analytical parameters (glucose, lactate, and creatinine) were collected. For the evaluation of the scores, the discriminative power, calibration curve and decision curve analysis (DCA) were used. Results: The mSOFA outperformed the other two scores for mortality, presenting the following AUCs: 0.877 (95%CI 0.841–0.913), 0.761 (95%CI 0.706–0.816), 0.731 (95%CI 0.674–0.788), for mSOFA, NEWS, and qSOFA, respectively. No differences were found for sepsis nor septic shock, but mSOFA’s AUCs was higher than the one of the other two scores. The calibration curve and DCA presented similar results. Conclusion: The use of mSOFA could provide and extra insight regarding the short-term mortality and sepsis diagnostic, backing its recommendation in the prehospital scenario. metadata Melero-Guijarro, Laura and Sanz-García, Ancor and Martín-Rodríguez, Francisco and Lipari, Vivian and Mazas Pérez-Oleaga, Cristina and Carvajal-Altamiranda, Stefanía and Martínez López, Nohora Milena and Dominguez Azpíroz, Irma and Castro Villamor, Miguel A. and Sánchez Soberón, Irene and López-Izquierdo, Raúl mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, vivian.lipari@uneatlantico.es, cristina.mazas@uneatlantico.es, stefania.carvajal@uneatlantico.es, nohora.martinez@uneatlantico.es, irma.dominguez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Prehospital qSOFA, mSOFA, and NEWS2 performance for sepsis prediction: A prospective, multi-center, cohort study. Frontiers in Medicine, 10. ISSN 2296-858X

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production
Abierto Inglés Introduction: Rotavirus infection is a major cause of mortality among children under 5 years in Bangladesh. There is lack of integrated studies on rotavirus prevalence and genetic diversity during 1973 to 2023 in Bangladesh. Methods: This meta-analysis was conducted to determine the prevalence, genotypic diversity and seasonal distribution of rotavirus during pre-vaccination period in Bangladesh. This study included published articles on rotavirus A, rotavirus B and rotavirus C. We used Medline, Scopus and Google Scholar for published articles. Selected literatures were published between 1973 to 2023. Results: This study detected 12431 research articles published on rotavirus. Based on the inclusion criteria, 29 of 75 (30.2%) studies were selected. Molecular epidemiological data was taken from 29 articles, prevalence data from 29 articles, and clinical symptoms from 19 articles. The pooled prevalence of rotavirus was 30.1% (95% CI: 22%-45%, p = 0.005). Rotavirus G1 (27.1%, 2228 of 8219) was the most prevalent followed by G2 (21.09%, 1733 of 8219), G4 (11.58%, 952 of 8219), G9 (9.37%, 770 of 8219), G12 (8.48%, 697 of 8219), and G3 (2.79%, 229 of 8219), respectively. Genotype P[8] (40.6%, 2548 of 6274) was the most prevalent followed by P[4] (12.4%, 777 of 6274) and P[6] (6.4%, 400 of 6274), respectively. Rotavirus G1P[8] (19%) was the most frequent followed by G2P [4] (9.4%), G12P[8] (7.2%), and G9P[8], respectively. Rotavirus infection had higher odds of occurrence during December and February (aOR: 2.86, 95% CI: 2.43-3.6, p = 0.001). Discussion: This is the first meta-analysis including all the studies on prevalence, molecular epidemiology, and genetic diversity of rotavirus from 1973 to 2023, pre-vaccination period in Bangladesh. This study will provide overall scenario of rotavirus genetic diversity and seasonality during pre-vaccination period and aids in policy making for rotavirus vaccination program in Bangladesh. This work will add valuable knowledge for vaccination against rotavirus and compare the data after starting vaccination in Bangladesh. metadata Sharif, Nadim and Sharif, Nazmul and Khan, Afsana and Dominguez Azpíroz, Irma and Martínez Díaz, Raquel and Díez, Isabel De la Torre and Parvez, Anowar Khasru and Dey, Shuvra Kanti mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, irma.dominguez@unini.edu.mx, raquel.martinez@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Prevalence and genetic diversity of rotavirus in Bangladesh during pre-vaccination period, 1973-2023: a meta-analysis. Frontiers in Immunology, 14. ISSN 1664-3224

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Introduction: Co-prevalence of long-COVID-19, cardiovascular diseases and diabetes is one of the major health challenges of the pandemic worldwide. Studies on long-COVID-19 and associated health outcomes are absent in Bangladesh. The main aim of this study was to determine the prevalence and impact of long-COVID-19 on preexisting diabetes and cardiovascular diseases (CVD) on health outcomes among patients in Bangladesh. Methods: We collected data from 3,250 participants in Bangladesh, retrospectively. Multivariable logistic regression model was used to determine the odds ratio between independent and dependent variables. Kaplan-Meier survival curve was used to determine the cumulative survival. Results: COVID-19 was detected among 73.4% (2,385 of 3,250) participants. Acute long-COVID-19 was detected among 28.4% (678 of 2,385) and chronic long-COVID-19 among 71.6% (1,707 of 2,385) patients. CVD and diabetes were found among 32%, and 24% patients, respectively. Mortality rate was 18% (585 of 3,250) among the participants. Co-prevalence of CVD, diabetes and COVID-19 was involved in majority of fatality (95%). Fever (97%), dry cough (87%) and loss of taste and smell (85%) were the most prevalent symptoms. Patients with co-prevalence of CVD, diabetes and COVID-19 had higher risk of fatality (OR: 3.65, 95% CI, 2.79–4.24). Co-prevalence of CVD, diabetes and chronic long-COVID-19 were detected among 11.9% patients. Discussion: Risk of hospitalization and fatality reduced significantly among the vaccinated. This is one of the early studies on long-COVID-19 in Bangladesh. metadata Sharif, Nadim and Sharif, Nazmul and Khan, Afsana and Halawani, Ibrahim F. and Alzahrani, Fuad M. and Alzahrani, Khalid J. and Díez, Isabel De la Torre and Ramírez-Vargas, Debora L. and Kuc Castilla, Ángel Gabriel and Parvez, Anowar Khasru and Dey, Shuvra Kanti mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, debora.ramirez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Prevalence and impact of long COVID-19 among patients with diabetes and cardiovascular diseases in Bangladesh. Frontiers in Public Health, 11. ISSN 2296-2565

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Abierto Inglés Objective The prevalence of undiagnosed diabetes was estimated to increase with age and can reach 3.5%. The purpose of the study was to evaluate the prevalence of undiagnosed diabetes and prediabetes in the elderly patients who attended a dental clinic and to find common risk factors. Methods Male patients, older than 50 years, attended their first dental visit to the School of Dentistry for a period of two years, and it was proposed to evaluate undiagnosed type 2 diabetes mellitus. Periodontal, biochemical, microbiological examinations, nutritional profile, and physical activity were performed. Results A total of 106 patients were examined, 6 (5.6%) had diabetes, and 37 (34.9%) had prediabetes without prior diagnosis. The severity of periodontitis was greater in patients with diabetes. Most of the patients were overweight and had increased systolic blood pressure. Patients with prediabetes and periodontitis had a low adherence to the Mediterranean diet. Tannerella forsythia was present in more patients with periodontitis, and the prevalence of Aggregatibacter actinomycetemcomitans is practically absent in groups with periodontitis, except for the group with diabetes. Conclusions In the population studied, the prevalence of patients without a diagnosis of diabetes and prediabetes was very high and underestimated. The increased severity of periodontitis in patients with diabetes and in conjunction with the high level of cortisol seen in patients with periodontitis, especially those with diabetes, emphasize the dysregulation of the immunoinflammatory system. metadata Portes, Juliana and Bullón, Beatriz and Gallardo, Isabel and Fernandez-Riejos, Patricia and Quiles, José Luis and Giampieri, Francesca and Bullón, Pedro mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED (2023) Prevalence of undiagnosed diabetes and prediabetes related to periodontitis and its risk factors in elderly individuals. Journal of Dentistry, 132. p. 104480. ISSN 03005712

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Español El objetivo de este estudio fue analizar la eficacia del programa preventivo a través del entrenamiento pliométrico y control motor sobre la estabilidad del tobillo en jugadoras de fútbol sala de Segunda división nacional. Se diseñó un estudio cuasiexperimental de intervención con una evaluación de pre-post test, durante la temporada 2021-2022, con una duración de 4 semanas, más dos de evaluación. Los test utilizados para ello fueron, el CMJ, THT y el YBT. 8 jugadoras (féminas) de fútbol sala de edad (25.78 ± 6.44 años) y altura (165.0 ± 7.07 cm) de nivel semiprofesional, que compite actualmente en Segunda División Nacional, llevaron a cabo el programa preventivo, compuesto por un circuito de 7 postas de trabajo específico. Los resultados obtenidos tras la intervención no obtuvieron mejoras significativas en las siguientes pruebas, CMJ y THT (p>0,060 y p>0.507) respectivamente, aun así, en el test CMJ la altura del salto vertical aumentó 2 cm con respecto al pre test y la media de la pierna izquierda en el THT obtuvo una mejora de (p<0.085). Por otro lado, el rendimiento del CS en el YBT sí mejoró significativamente, tras un periodo de intervención de 4 semanas, (p<0.045, TE = 1.12; y p<0.007, TE=1.9), aumentando un 14% en el CS. El programa preventivo llevado a cabo durante la intervención, demostró que no se obtuvieron mejoras significativas en líneas generales, a excepción del YBT, el cual mostró mejoras en la dorsiflexión del tobillo para ambos pies metadata Canduela Valle, Sandra and Osmani, Florent and Lago-Fuentes, Carlos mail paula.canduela@alumnos.uneatlantico.es, florent.osmani@uneatlantico.es, carlos.lago@uneatlantico.es (2023) Propuesta preventiva sobre el esguince de tobillo en jugadoras de 2ªRFEF Futsal. RICYDE. Revista internacional de ciencias del deporte, 19 (71). pp. 29-39. ISSN 18853137

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books Abierto Inglés Schizophrenia spectrum disorders (SSD) often show cognitive deficits (CD) impacting daily life. Family support has been shown to be protective against CD, yet the relationship between these in psychotic patients remains complex and not fully understood. This study investigated the association between a subdomain of family support, namely, family involvement (estimated through a proxy measure), cognitive functioning, and sex in first-episode psychosis (FEP) patients. The sample included 308 patients enrolled in the Program for Early Phases of Psychosis (PAFIP), divided into 4 groups based on their estimated family involvement (eFI) level and sex, and compared on various variables. Women presented lower rates of eFI than men (37.1% and 48.8%). Higher eFI was associated with better cognitive functioning, particularly in verbal memory. This association was stronger in women. The findings suggest that eFI may be an important factor in FEP patients’ cognitive functioning. This highlights the importance of including families in treatment plans for psychotic patients to prevent CD. Further research is needed to better understand the complex interplay between family support, sex, and cognitive functioning in psychotic patients and develop effective interventions that target these factors. metadata Soler-Andrés, Marina and Díaz-Pons, Alexandre and Ortiz-García de la Foz, Víctor and Murillo-García, Nancy and Barrio-Martínez, Sara and Miguel-Corredera, Margarita and Yorca-Ruiz, Angel and Magdaleno Herrero, Rebeca and Moya-Higueras, Jorge and Setién-Suero, Esther and Ayesa-Arriola, Rosa mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, esther.setien@uneatlantico.es, UNSPECIFIED (2023) A Proxy Approach to Family Involvement and Neurocognitive Function in First Episode of Non-Affective Psychosis: Sex-Related Differences. Healthcare, 11 (13). p. 1902. ISSN 2227-9032

Book Subjects > Engineering Europe University of Atlantic > Research > Articles and books Cerrado Español El proyecto de conservación y recuperación de cepas ancestrales desarrollado en los últimos años por José M. Gómez Eguren, Pablo Oria Chaveli y Diego González Rodríguez ha permitido recuperar cepas presumiblemente antiguas de las variedades tintas petit verdot y graciano. La hipótesis que manejan estos estudiosos y técnicos es que pueden tratarse de cepas prefiloxéricas y que pueden responder a los restos de una tradición que está documentada en la zona, cuyos orígenes se remontan a la época romana, a raíz de la conquista del norte de la península ibérica por parte de las tropas de Augusto. metadata Oria Chaveli, Pablo and Gómez Eguren, José Manuel and González Rodríguez, Diego mail pablo.oria@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Proyecto de conservación y recuperación de cepas ancestrales en el Municipio de Suances. Jose Manuel Gómez Eguren, Cantabria. ISBN 978-84-09-5111-0

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Railway track faults may lead to railway accidents and cause human and financial loss. Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts, misalignment, and cracks leading to accidents. Manual inspection of such defects is time-consuming and prone to errors. Automatic inspection provides a fast, reliable, and unbiased solution. However, highly accurate fault detection is challenging due to the lack of public datasets, noisy data, inefficient models, etc. To obtain better performance, this study presents a novel approach that relies on mel frequency cepstral coefficient features from acoustic data. The primary objective of this study is to increase fault detection performance. As well as designing an ensemble model, we utilize selective features using chi-square(chi2) that have high importance with respect to the target class. Extensive experiments were carried out to analyze the efficiency of the proposed approach. The experimental results suggest that using 60 features, 40 original features, and 20 chi2 features produces optimal results both regarding accuracy and computational complexity. A mean accuracy score of 0.99 was obtained using the proposed approach with machine learning models using the collected data. Moreover, this performance was significantly better than that of existing approaches; however, the performance of models may vary in real-world settings. metadata Rustam, Furqan and Ishaq, Abid and Hashmi, Muhammad Shadab Alam and Siddiqui, Hafeez Ur Rehman and Dzul Lopez, Luis and Castanedo Galán, Juan and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, luis.dzul@unini.edu.mx, juan.castanedo@uneatlantico.es, UNSPECIFIED (2023) Railway Track Fault Detection Using Selective MFCC Features from Acoustic Data. Sensors, 23 (16). p. 7018. ISSN 1424-8220

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Non-word and real-word errors are generally two types of spelling errors. Non-word errors are misspelled words that are nonexistent in the lexicon while real-word errors are misspelled words that exist in the lexicon but are used out of context in a sentence. Lexicon-based lookup approach is widely used for non-word errors but it is incapable of handling real-word errors as they require contextual information. Contrary to the English language, real-word error detection and correction for low-resourced languages like Urdu is an unexplored area. This paper presents a real-word spelling error detection and correction approach for the Urdu language. We develop an extensive lexicon of 593,738 words and use this lexicon to develop a dataset for real-word errors comprising 125562 sentences and 2,552,735 words. Based on the developed lexicon and dataset, we then develop a contextual spell checker that detects and corrects real-word errors. For the real-word error detection phase, word-gram features are used along with five machine learning classifiers, achieving a precision, recall, and F1-score of 0.84,0.79, and 0.81 respectively. We also test the proposed approach with a 40% error density. For real-word error correction, the Damerau-Levenshtein distance is used along with the n-gram model for further ranking of the suggested candidate words, achieving an accuracy of up to 83.67%. metadata Aziz, Romila and Anwar, Muhammad Waqas and Jamal, Muhammad Hasan and Bajwa, Usama Ijaz and Kuc Castilla, Ángel Gabriel and Uc-Rios, Carlos and Bautista Thompson, Ernesto and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carlos.uc@unini.edu.mx, ernesto.bautista@unini.edu.mx, UNSPECIFIED (2023) Real Word Spelling Error Detection and Correction for Urdu Language. IEEE Access. p. 1. ISSN 2169-3536

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Recent developments in quantum computing have shed light on the shortcomings of the conventional public cryptosystem. Even while Shor’s algorithm cannot yet be implemented on quantum computers, it indicates that asymmetric key encryption will not be practicable or secure in the near future. The National Institute of Standards and Technology (NIST) has started looking for a post-quantum encryption algorithm that is resistant to the development of future quantum computers as a response to this security concern. The current focus is on standardizing asymmetric cryptography that should be impenetrable by a quantum computer. This has become increasingly important in recent years. Currently, the process of standardizing asymmetric cryptography is coming very close to being finished. This study evaluated the performance of two post-quantum cryptography (PQC) algorithms, both of which were selected as NIST fourth-round finalists. The research assessed the key generation, encapsulation, and decapsulation operations, providing insights into their efficiency and suitability for real-world applications. Further research and standardization efforts are required to enable secure and efficient post-quantum encryption. When selecting appropriate post-quantum encryption algorithms for specific applications, factors such as security levels, performance requirements, key sizes, and platform compatibility should be taken into account. This paper provides helpful insight for post-quantum cryptography researchers and practitioners, assisting in the decision-making process for selecting appropriate algorithms to protect confidential data in the age of quantum computing. metadata Farooq, Sana and Altaf, Ayesha and Iqbal, Faiza and Bautista Thompson, Ernesto and Ramírez-Vargas, Debora L. and Díez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ernesto.bautista@unini.edu.mx, debora.ramirez@unini.edu.mx, UNSPECIFIED, UNSPECIFIED (2023) Resilience Optimization of Post-Quantum Cryptography Key Encapsulation Algorithms. Sensors, 23 (12). p. 5379. ISSN 1424-8220

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Español El objetivo fue comparar y analizar la efectividad de diferentes metodologías de entrenamiento para la mejora de la velocidad en futbolistas sub-19. Se llevó a cabo un estudio bibliográfico de revisión sistemática. Mediante la declaración PRISMA, se realizó una búsqueda bibliográfica a través de la base de datos PubMed. Se incluyeron artículos que fueran estudios de intervención escritos en castellano o en inglés, llevados a cabo en jugadores de 10 a 19 años, que tuvieran al menos un método de entrenamiento pliométrico, de fuerza o de sprint para la mejora de la velocidad y que tuvieran una evaluación del sprint. Los resultados de las intervenciones mostraron beneficios en la mejora de la velocidad a través del método pliométrico (TE=0,66) en test de 20 m, fuerza explosiva (TE=0,64) en test de 5 m y sprint (TE=0,33) en test de 20 m. Se puede llegar a la conclusión de que el método de fuerza explosiva obtiene mayores beneficios en las distancias cortas (5-10 m) cuando se emplean intensidades bajas y en jugadores de 17 años, el volumen de entrenamiento ideal es de 2 sesiones por semana. El método de sprint en distancias más largas (20-30 m) en edades de 14-15 años, con un volumen de entrenamiento de una o dos sesiones por semana. El pliométrico logra los mismos beneficios en distancias cortas y largas (5-30 m) para edades de 15-16 años y sin diferencias notables en el volumen de entrenamiento metadata del Castillo Revuelta, Marco and Osmani, Florent and Lago-Fuentes, Carlos mail marcoderevuelta@gmail.com, florent.osmani@uneatlantico.es, carlos.lago@uneatlantico.es (2023) Revisión sistemática sobre la mejora de la velocidad en jugadores de fútbol sub-19. MLS Sport Research, 2 (2).

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Español La tendinopatía aquílea (TA) es una de las lesiones más comunes entre los atletas, produciendo dolor y deterioro de las capacidades del tendón, así como inflamación del cuerpo tendinoso. Esta presenta una incidencia acumulada muy alta, sobre todo en atletas de élite, y tiene como principal mecanismo lesional el exceso de carga sobre el tendón acompañado de un escaso periodo de recuperación entre cargas. Los factores de riesgo que más influencia tienen en esta patología son los externos, teniendo también relevancia los factores internos. Así, el principal objetivo de esta revisión fue establecer las estrategias óptimas para la recuperación de una tendinopatía aquílea desde el ámbito de la actividad física y el deporte. En este trabajo, se revisaron artículos extraídos de la base de datos PubMed, seleccionando todos aquellos artículos redactados en inglés, llevados a cabo sobre sujetos lesionados con TA y que se encontrasen en periodo de readaptación. Se excluyeron todos los artículos previos a 2010. Todas las intervenciones realizadas en los diferentes estudios señalaron el ejercicio físico como una herramienta muy positiva en el tratamiento de la TA, siendo las mejoras más significativas la reducción del dolor del tendón, la mejora en las capacidades funcionales y un aumento del nivel de satisfacción post intervención. A la vista de los resultados, todas las estrategias analizadas han probado ser beneficiosas para la recuperación de una TA, reduciendo la sintomatología, el dolor y la disfunción en una persona lesionada. Sin embargo, la resistencia lenta pesada (HSR) pareció ser aquella que mejores resultados proporcionó sobre la población de estudio, por encima del entrenamiento excéntrico e isométrico. metadata Quintana Ruiz, David and Bores Arce, Ainhoa and Crespo-Posadas, Manuel mail UNSPECIFIED, ainhoa.bores@uneatlantico.es, manuel.crespo@uneatlantico.es (2023) Revisión sistemática: Estrategias para la mejora de la sintomatología en tendinopatía aquílea en atletas. MLS Sport Research, 2 (2).

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Mutations allow viruses to continuously evolve by changing their genetic code to adapt to the hosts they infect. It is an adaptive and evolutionary mechanism that helps viruses acquire characteristics favoring their survival and propagation. The COVID-19 pandemic declared by the WHO in March 2020 is caused by the SARS-CoV-2 virus. The non-stop adaptive mutations of this virus and the emergence of several variants over time with characteristics favoring their spread constitute one of the biggest obstacles that researchers face in controlling this pandemic. Understanding the mutation mechanism allows for the adoption of anticipatory measures and the proposal of strategies to control its propagation. In this study, we focus on the mutations of this virus, and we propose the SARSMutOnto ontology to model SARS-CoV-2 mutations reported by Pango researchers. A detailed description is given for each mutation. The genes where the mutations occur and the genomic structure of this virus are also included. The sub-lineages and the recombinant sub-lineages resulting from these mutations are additionally represented while maintaining their hierarchy. We developed a Python-based tool to automatically generate this ontology from various published Pango source files. At the end of this paper, we provide some examples of SPARQL queries that can be used to exploit this ontology. SARSMutOnto might become a ‘wet bench’ machine learning tool for predicting likely future mutations based on previous mutations. metadata Bakkas, Jamal and Hanine, Mohamed and Chekry, Abderrahman and Gounane, Said and de la Torre Díez, Isabel and Lipari, Vivian and Martínez López, Nohora Milena and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, vivian.lipari@uneatlantico.es, nohora.martinez@uneatlantico.es, UNSPECIFIED (2023) SARSMutOnto: An Ontology for SARS-CoV-2 Lineages and Mutations. Viruses, 15 (2). p. 505. ISSN 1999-4915

Article Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés In the last two decades, there is an increasingly broad line of studies that warn about the emotional health of journalists and the challenges that it poses for communication professionals to be able to separate work issues from their personal lives. The coverage of COVID-19 exposed many journalists to situations of frustration, discomfort and stress for various reasons: long working hours, not having the appropriate technological material, added to an environment of uncertainty caused by the pandemic. This study aims to examine the possible scope of technostress –in some cases associated to digital divide– in journalists and analyze if they are aware of the uses of care of the self as a way to deal with stressful situations. For this, our research is based on documentary analysis, a survey answered by (50) fifty Argentinean journalists, and twelve (12) in-depth interviews to experienced journalists. Our findings suggest that constant exposure to computers and smartphones during the lockdown together with difficulties to connect to Internet or to have the adequate materials and the lack of coping strategies –as the care of the self– confirms the presence of technostress. Another result that emerges from this research, it should be addressed in future studies, is that some journalists’ reactions about care of the self could respond to the third person effect theory to maintain high self-esteem and not demonstrate vulnerability. metadata Escudero, Carolina and Prola, Thomas and Soriano Flores, Emmanuel and Silva Alvarado, Eduardo René mail UNSPECIFIED, thomas.prola@uneatlantico.es, emmanuel.soriano@uneatlantico.es, eduardo.silva@funiber.org (2023) The Scope of Technostress and Care of The Self on Journalists During the Pandemic. Przestrzeń Społeczna (Social Space), 23 (4). pp. 20-43. ISSN 20841558

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The rapid generation of data from various sources by the public sector, private corporations, business associations, and local communities is referred to as big data. This large and complex dataset is often regarded as the ‘new oil’ by public administrations (PAs), and data-driven approaches are employed to transform it into valuable insights that can improve governance, transparency, digital services, and public engagement. The government’s big-data ecosystem (GBDE) is a result of this initiative. Effective data management is the first step towards large-scale data analysis, which yields insights that benefit your work and your customers. However, managing big data throughout its life cycle is a daunting challenge for public agencies. Despite its widespread use, big data management is still a significant obstacle. To address this issue, this study proposes a hybrid approach to secure the data management life cycle for GBDE. Specifically, we use a combination of the ECC algorithm with AES 128 BITS encryption to ensure that the data remain confidential and secure. We identified and analyzed various data life cycle models through a systematic literature review to create a data management life cycle for data-driven governments. This approach enhances the security and privacy of data management and addresses the challenges faced by public agencies. metadata Zahid, Reeba and Altaf, Ayesha and Ahmad, Tauqir and Iqbal, Faiza and Miró Vera, Yini Airet and López Flores, Miguel Ángel and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, yini.miro@uneatlantico.es, miguelangel.lopez@uneatlantico.es, UNSPECIFIED (2023) Secure Data Management Life Cycle for Government Big-Data Ecosystem: Design and Development Perspective. Systems, 11 (8). p. 380. ISSN 2079-8954

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production
Abierto Inglés Software cost and effort estimation is one of the most significant tasks in the area of software engineering. Research conducted in this field has been evolving with new techniques that necessitate periodic comparative analyses. Software project success largely depends on accurate software cost estimation as it gives an idea of the challenges and risks involved in the development. The great diversity of ML and Non-ML techniques has generated a comparison and progressed into the integration of these techniques. Based on varying advantages it has become imperative to work out preferred estimation techniques to improve the project development process. This study aims to present a systematic literature review (SLR) to investigate the trends of the articles published in the recent one and a half decades and to propose a way forward. This systematic literature review has proposed a three-stage approach to plan (Tollgate approach), conduct (Likert type scale), and report the results from five renowned digital libraries. For the selected 52 articles, artificial neural network model (ANN) and constructive cost model (COCOMO) based approaches have been the favored techniques. The mean magnitude of relative error (MMRE) has been the preferred accuracy metric, software engineering, and project management are the most relevant fields, and the promise repository has been identified as the widely accessed database. This review is likely to be of value for the development, cost, and effort estimations. metadata Rashid, Chaudhary Hamza and Shafi, Imran and Ahmad, Jamil and Bautista Thompson, Ernesto and Masías Vergara, Manuel and Diez, Isabel De La Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ernesto.bautista@unini.edu.mx, manuel.masias@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Software Cost and Effort Estimation: Current Approaches and Future Trends. IEEE Access. p. 1. ISSN 2169-3536

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Safety critical spare parts hold special importance for aviation organizations. However, accurate forecasting of such parts becomes challenging when the data are lumpy or intermittent. This research paper proposes an artificial neural network (ANN) model that is able to observe the recent trends of error surface and responds efficiently to the local gradient for precise spare prediction results marked by lumpiness. Introduction of the momentum term allows the proposed ANN model to ignore small variations in the error surface and to behave like a low-pass filter and thus to avoid local minima. Using the whole collection of aviation spare parts having the highest demand activity, an ANN model is built to predict the failure of aircraft installed parts. The proposed model is first optimized for its topology and is later trained and validated with known historical demand datasets. The testing phase includes introducing input vector comprising influential factors that dictate sporadic demand. The proposed approach is found to provide superior results due to its simple architecture and fast converging training algorithm once evaluated against some other state-of-the-art models from the literature using related benchmark performance criteria. The experimental results demonstrate the effectiveness of the proposed approach. The accurate prediction of the cost-heavy and critical spare parts is expected to result in huge cost savings, reduce downtime, and improve the operational readiness of drones, fixed wing aircraft and helicopters. This also resolves the dead inventory issue as a result of wrong demands of fast moving spares due to human error. metadata Shafi, Imran and Sohail, Amir and Ahmad, Jamil and Martínez Espinosa, Julio César and Dzul Lopez, Luis Alonso and Bautista Thompson, Ernesto and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, luis.dzul@unini.edu.mx, ernesto.bautista@unini.edu.mx, UNSPECIFIED (2023) Spare Parts Forecasting and Lumpiness Classification Using Neural Network Model and Its Impact on Aviation Safety. Applied Sciences, 13 (9). p. 5475. ISSN 2076-3417

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés Stress is now a serious disease that exists due to changes in working life and food ecosystems around the world. In general, it is difficult for a person to know if they are under stress. According to previous research, temperature, heart rate variability (HRV), humidity, and blood pressure are used to assess stress levels with the use of instruments. With the development of sensor technology and wireless connectivity, people around the world are adopting and using smart devices. In this study, a bio signal detection device with Internet of Things (IoT) capability with a galvanic skin reaction (GSR) sensor is proposed and built for real-time stress monitoring. The proposed device is based on an Arduino controller and Bluetooth communication. To evaluate the performance of the system, physical stress is created on 10 different participants with three distinct tasks namely reading, visualizing the timer clock, and watching videos. MATLAB analysis is performed for identifying the three different levels of stress and obtaining the threshold values as if the person GSR voltage i.e., relaxed for <1.75 volts; Normal: between 1.75 and 1.44 volts and stressed: >1.44 volts. In addition, LabVIEW is used as a data acquisition system, and a Blueterm mobile application is also used to view the sensor reading received from the device through Bluetooth communication. metadata Singh, Rajesh and Gehlot, Anita and Saxena, Ritika and Alsubhi, Khalid and Anand, Divya and Delgado Noya, Irene and Vaseem Akram, Shaik and Choudhury, Sushabhan mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, irene.delgado@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Stress Detector Supported Galvanic Skin Response System with IoT and LabVIEW GUI. Computers, Materials & Continua, 74 (1). pp. 1217-1233. ISSN 1546-2226

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés, Español La enfermedad del hígado graso no alcohólico (EHGNA) cada vez es más prevalente y es la principal enfermedad hepática a nivel mundial. Se quiere comparar nuevas estrategias dietético-nutricionales, como la dieta mediterránea y los ácidos grasos poliinsaturados omega-3, para determinar cuál es más efectiva como tratamiento para esta enfermedad. Evaluar que manejo nutricional es más efectivo como tratamiento del hígado graso no alcohólico, si la suplementación con omega 3 o una dieta mediterránea. Se realizó una revisión bibliográfica, para la cual se consultaron y seleccionaron varios artículos científicos de diversas bases de datos, documentos y el servicio de información en línea provisto por la Biblioteca Nacional de Medicina de los Estados Unidos (MedlinePlus), obteniendo asi un total de 17 estudios pertenecientes a la base de datos Pubmed, los cuales fueron analizados en profundidad. Tanto la dieta mediterránea como la suplementación con ácidos grasos poliinsaturados omega-3 promueven beneficios sobre las características clínicas de los pacientes con hígado graso. La realización de una dieta mediterránea parece tener mayores beneficios en el tratamiento de la EHGNA al mejorar las características clínicas de la enfermedad como la esteatosis hepática, la inflamación, la fibrosis y la esteatohepatitis no alcohólica, además, del síndrome metabólico. metadata Celis Eguren, Andrea mail UNSPECIFIED (2023) Suplementación con ácidos grasos poliinsaturados omega 3 frente a una dieta mediterránea como tratamiento para la enfermedad del hígado graso no alcohólico. MLS Health & Nutrition Research, 1 (2).

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production
Abierto Inglés Data mining is an analytical approach that contributes to achieving a solution to many problems by extracting previously unknown, fascinating, nontrivial, and potentially valuable information from massive datasets. Clustering in data mining is used for splitting or segmenting data items/points into meaningful groups and clusters by grouping the items that are near to each other based on certain statistics. This paper covers various elements of clustering, such as algorithmic methodologies, applications, clustering assessment measurement, and researcher-proposed enhancements with their impact on data mining thorough grasp of clustering algorithms, its applications, and the advances achieved in the existing literature. This study includes a literature search for papers published between 1995 and 2023, including conference and journal publications. The study begins by outlining fundamental clustering techniques along with algorithm improvements and emphasizing their advantages and limitations in comparison to other clustering algorithms. It investigates the evolution measures for clustering algorithms with an emphasis on metrics used to gauge clustering quality, such as the F-measure and the Rand Index. This study includes a variety of clustering-related topics, such as algorithmic approaches, practical applications, metrics for clustering evaluation, and researcher-proposed improvements. It addresses numerous methodologies offered to increase the convergence speed, resilience, and accuracy of clustering, such as initialization procedures, distance measures, and optimization strategies. The work concludes by emphasizing clustering as an active research area driven by the need to identify significant patterns and structures in data, enhance knowledge acquisition, and improve decision making across different domains. This study aims to contribute to the broader knowledge base of data mining practitioners and researchers, facilitating informed decision making and fostering advancements in the field through a thorough analysis of algorithmic enhancements, clustering assessment metrics, and optimization strategies. metadata Chaudhry, Mahnoor and Shafi, Imran and Mahnoor, Mahnoor and Ramírez-Vargas, Debora L. and Bautista Thompson, Ernesto and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, debora.ramirez@unini.edu.mx, ernesto.bautista@unini.edu.mx, UNSPECIFIED (2023) A Systematic Literature Review on Identifying Patterns Using Unsupervised Clustering Algorithms: A Data Mining Perspective. Symmetry, 15 (9). p. 1679. ISSN 2073-8994

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Disaster management is a critical area that requires efficient methods and techniques to address various challenges. This comprehensive assessment offers an in-depth overview of disaster management systems, methods, obstacles, and potential future paths. Specifically, it focuses on flood control, a significant and recurrent category of natural disasters. The analysis begins by exploring various types of natural catastrophes, including earthquakes, wildfires, and floods. It then delves into the different domains that collectively contribute to effective flood management. These domains encompass cutting-edge technologies such as big data analysis and cloud computing, providing scalable and reliable infrastructure for data storage, processing, and analysis. The study investigates the potential of the Internet of Things and sensor networks to gather real-time data from flood-prone areas, enhancing situational awareness and enabling prompt actions. Model-driven engineering is examined for its utility in developing and modeling flood scenarios, aiding in preparation and response planning. This study includes the Google Earth engine (GEE) and examines previous studies involving GEE. Moreover, we discuss remote sensing; remote sensing is undoubtedly a valuable tool for disaster management, and offers geographical data in various situations. We explore the application of Geographical Information System (GIS) and Spatial Data Management for visualizing and analyzing spatial data and facilitating informed decision-making and resource allocation during floods. In the final section, the focus shifts to the utilization of machine learning and data analytics in flood management. These methodologies offer predictive models and data-driven insights, enhancing early warning systems, risk assessment, and mitigation strategies. Through this in-depth analysis, the significance of incorporating these spheres into flood control procedures is highlighted, with the aim of improving disaster management techniques and enhancing resilience in flood-prone regions. The paper addresses existing challenges and provides future research directions, ultimately striving for a clearer and more coherent representation of disaster management techniques. metadata Khan, Saad Mazhar and Shafi, Imran and Butt, Wasi Haider and Diez, Isabel de la Torre and López Flores, Miguel Ángel and Castanedo Galán, Juan and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, miguelangel.lopez@uneatlantico.es, juan.castanedo@uneatlantico.es, UNSPECIFIED (2023) A Systematic Review of Disaster Management Systems: Approaches, Challenges, and Future Directions. Land, 12 (8). p. 1514. ISSN 2073-445X

Article Subjects > Biomedicine
Subjects > Engineering
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Cerrado Inglés Obesity and overweight has increased in the last year and has become a pandemic disease, the result of sedentary lifestyles and unhealthy diets rich in sugars, refined starches, fats and calories. Machine learning (ML) has proven to be very useful in the scientific community, especially in the health sector. With the aim of providing useful tools to help nutritionists and dieticians, research focused on the development of ML and Deep Learning (DL) algorithms and models is searched in the literature. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol has been used, a very common technique applied to carry out revisions. In our proposal, 17 articles have been filtered in which ML and DL are applied in the prediction of diseases, in the delineation of treatment strategies, in the improvement of personalized nutrition and more. Despite expecting better results with the use of DL, according to the selected investigations, the traditional methods are still the most used and the yields in both cases fluctuate around positive values, conditioned by the databases (transformed in each case) to a greater extent than by the artificial intelligence paradigm used. Conclusions: An important compilation is provided for the literature in this area. ML models are time-consuming to clean data, but (like DL) they allow automatic modeling of large volumes of data which makes them superior to traditional statistics. metadata Ferreras, Antonio and Sumalla Cano, Sandra and Martínez-Licort, Rosmeri and Elío Pascual, Iñaki and Tutusaus, Kilian and Prola, Thomas and Vidal Mazón, Juan Luis and Sahelices, Benjamín and de la Torre Díez, Isabel mail UNSPECIFIED, sandra.sumalla@uneatlantico.es, UNSPECIFIED, inaki.elio@uneatlantico.es, kilian.tutusaus@uneatlantico.es, thomas.prola@uneatlantico.es, juanluis.vidal@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Systematic Review of Machine Learning applied to the Prediction of Obesity and Overweight. Journal of Medical Systems, 47 (1). ISSN 1573-689X

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
University of La Romana > Research > Scientific Production
Abierto Inglés Artificial intelligence (AI)-based models have emerged as powerful tools in financial markets, capable of reducing investment risks and aiding in selecting highly profitable stocks by achieving precise predictions. This holds immense value for investors, as it empowers them to make data-driven decisions. Identifying current and future trends in multi-class forecasting techniques employed within financial markets, particularly profitability analysis as an evaluation metric is important. The review focuses on examining stud-ies conducted between 2018 and 2023, sourced from three prominent academic databases. A meticulous three-stage approach was employed, encompassing the systematic planning, conduct, and analysis of the se-lected studies. Specifically, the analysis emphasizes technical assessment, profitability analysis, hybrid mod-eling, and the type of results generated by models. Articles were shortlisted based on inclusion and exclusion criteria, while a rigorous quality assessment through ten quality criteria questions, utilizing a Likert-type scale was employed to ensure methodological robustness. We observed that ensemble and hybrid models with long short-term memory (LSTM) and support vector machines (SVM) are being more adopted for financial trends and price prediction. Moreover, hybrid models employing AI algorithms for feature engineering have great potential at par with ensemble techniques. Most studies only employ performance metrics and lack utilization of profitability metrics or investment or trading strategy (simulated or real-time). Similarly, research on multi-class or output is severely lacking in financial forecasting and can be a good avenue for future research. metadata Khattak, Bilal Hassan Ahmed and Shafi, Imran and Khan, Abdul Saboor and Soriano Flores, Emmanuel and García Lara, Roberto and Samad, Md. Abdus and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, emmanuel.soriano@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) A Systematic Survey of AI Models in Financial Market Forecasting for Profitability Analysis. IEEE Access, 11. pp. 125359-125380. ISSN 2169-3536

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés With a view of the post-COVID-19 world and probable future pandemics, this paper presents an Internet of Things (IoT)-based automated healthcare diagnosis model that employs a mixed approach using data augmentation, transfer learning, and deep learning techniques and does not require physical interaction between the patient and physician. Through a user-friendly graphic user interface and availability of suitable computing power on smart devices, the embedded artificial intelligence allows the proposed model to be effectively used by a layperson without the need for a dental expert by indicating any issues with the teeth and subsequent treatment options. The proposed method involves multiple processes, including data acquisition using IoT devices, data preprocessing, deep learning-based feature extraction, and classification through an unsupervised neural network. The dataset contains multiple periapical X-rays of five different types of lesions obtained through an IoT device mounted within the mouth guard. A pretrained AlexNet, a fast GPU implementation of a convolutional neural network (CNN), is fine-tuned using data augmentation and transfer learning and employed to extract the suitable feature set. The data augmentation avoids overtraining, whereas accuracy is improved by transfer learning. Later, support vector machine (SVM) and the K-nearest neighbors (KNN) classifiers are trained for lesion classification. It was found that the proposed automated model based on the AlexNet extraction mechanism followed by the SVM classifier achieved an accuracy of 98%, showing the effectiveness of the presented approach. metadata Shafi, Imran and Sajad, Muhammad and Fatima, Anum and Gavilanes Aray, Daniel and Lipari, Vivian and Diez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, daniel.gavilanes@uneatlantico.es, vivian.lipari@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Teeth Lesion Detection Using Deep Learning and the Internet of Things Post-COVID-19. Sensors, 23 (15). p. 6837. ISSN 1424-8220

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Cerrado Inglés Aim of the study: To assess the prognostic ability of the National Early Warning Score 2 (NEWS2) at three time points of care -at the emergency scene (NEWS2-1), just before starting the transfer by ambulance to the hospital (NEWS2- 2), and at the hospital triage box (NEWS2-3)- to estimate in-hospital mortality after two days since the index event. Methods: Prospective, multicenter, ambulance-based, cohort ongoing study in adults (>18 years) consecutively attended by advanced life support (ALS) and evacuated with high-priority to the emergency departments (ED) between October 2018 and May 2021. Vital sign measures were used to calculate the NEWS2 score at each time point, then this score was entered in a logistic regression model as the single predictor. Two outcomes were considered: first, all-cause mortality of the patients within 2 days of presentation to EMS, and second, unplanned ICU admission. The calibration and scores comparison was performed by representing the predicted vs the observed risk curves according to NEWS score value. Results: 4943 patients were enrolled. Median age was 69 years (interquartile range 53- 81). The NEWS2-3 presented the better performance for all-cause two-day in-hospital mortality with an AUC of 0.941 (95% CI: 0.917-0.964), showing statistical differences with both the NEWS2-1 (0.872 (95% CI: 0.833-0.911); p < 0.003) and with the NEWS2- 2 (0.895 (95% CI: 0.866-0.925; p < 0.05). The calibration and scores comparison results showed that the NEWS2-3 was the best predictive score followed by the NEWS2-2 and the NEWS2-1, respectively. Conclusions: The NEWS2 has an excellent predictive performance. The score showed a very consistent response over time with the difference between “at the emergency scene” and “pre-evacuation” presenting the sharpest change with decreased threshold values, thus displaying a drop in the risk of acute clinical impairment. metadata Martín-Rodríguez, Francisco and Sanz-García, Ancor and Ortega, Guillermo J. and Delgado Benito, Juan F. and Aparicio Obregón, Silvia and Martínez Fernández, Francisco T. and González Crespo, Pilar and Otero de la Torre, Santiago and Castro Villamor, Miguel A. and López-Izquierdo, Raúl mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, silvia.aparicio@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Tracking the National Early Warning Score 2 from prehospital care to the emergency department: A prospective, ambulance-based, observational study. Prehospital Emergency Care. pp. 1-13. ISSN 1090-3127 (Unpublished)

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés This paper introduced a method using hybrid combination of network restructuring and optimal placement of optimally sized distributed generators (DG) to reduce loss and improve voltage profile in a practical transmission network for scenario of high load demand for a period of ten years. A study is performed for four study cases which includes the test transmission network without considering optimal DG placement and network restructuring, considering network restructuring, optimal placement of DG units using proposed grid parameter oriented harmony search algorithm (GPOHSA) and considering hybrid combination of network restructuring and DG placement using GPOHSA. Network restructuring is achieved by addition of a new 400 kV Grid-substation (GSS) and a 220 kV GSS along with associated transmission system. GPOHSA is obtained by a modification in the conventional harmony search algorithm (HSA) where grid coordinates are used for locating the individuals in an objective space. Performance Improvement Indicators such as real power loss reduction indicator (SPLRI), reactive power loss reduction indicator (SQLRI) and summation of node voltage deviation reduction indicator (SNVDRI) are proposed to evaluate performance of each case of study. The period of investment return is assessed to evaluate the pay back period of the investments incurred in network restructuring and DG units. It is established that hybrid combination of network restructuring and DG units placement using GPOHSA is effective to meet the increased load demand for time period of ten years with reduced losses and improved voltage profile. Investment incurred on the network restructuring and DG units placement will be recovered in a time period of 4 years. Effectiveness of the GPOHSA is better relative to the conventional genetic algorithm (GA) for DG unit placement. The study is performed using the MATLAB software on a practical transmission network in India. metadata Kumar, Pramod and Swarnkar, Nagendra Kumar and Ali, Ahmed and Mahela, Om Prakash and Khan, Baseem and Anand, Divya and Brito Ballester, Julién mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, julien.brito@uneatlantico.es (2023) Transmission Network Loss Reduction and Voltage Profile Improvement Using Network Restructuring and Optimal DG Placement. Sustainability, 15 (2). p. 976. ISSN 2071-1050

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés In this paper, a novel ultra-wideband UWB antenna element with triple-band notches is proposed. The proposed UWB radiator element operates from 2.03 GHz up to 15.04 GHz with triple rejected bands at the WiMAX band (3.28–3.8 GHz), WLAN band (5.05–5.9 GHz), and X-band (7.78–8.51 GHz). In addition, the radiator supports the Bluetooth band (2.4–2.483 GHz). Three different techniques were utilized to obtain the triple-band notches. An alpha-shaped coupled line with a stub-loaded resonator (SLR) band stop filter was inserted along the main feeding line before the radiator to obtain a WiMAX band notch characteristic. Two identical U-shaped slots were etched on the proposed UWB radiator to achieve WLAN band notch characteristics with a very high degree of selectivity. Two identical metallic frames of an octagon-shaped electromagnetic band gap structure (EBG) were placed along the main feeding line to achieve the notch characteristic with X-band satellite communication with high sharpness edges. A novel UWB multiple-input multiple-output (MIMO) radiator is proposed. The proposed UWB-MIMO radiator was fabricated on FR-4 substrate material and measured. The isolation between every two adjacent ports was below −20 dB over the FCC-UWB spectrum and the Bluetooth band for the four MIMO antennas. The envelope correlation coefficient (ECC) between the proposed antennas in MIMO does not exceed 0.05. The diversity gains (DG) for all the radiators are greater than 9.98 dB. metadata El-Gendy, Mohamed S. and Ali, Mohamed Mamdouh M. and Bautista Thompson, Ernesto and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, ernesto.bautista@unini.edu.mx, UNSPECIFIED (2023) Triple-Band Notched Ultra-Wideband Microstrip MIMO Antenna with Bluetooth Band. Sensors, 23 (9). p. 4475. ISSN 1424-8220

Article Subjects > Social Sciences
Subjects > Comunication
Europe University of Atlantic > Research > Articles and books Abierto Inglés There is a common agreement in considering populism as a Manichean worldview that oversimplifies and polarizes political options reducing them to a symbolical struggle between an “us” and a “them.” “Us” is embodied by “the people,” equated with “good,” and “them” is identified by political “Others,” often embodied by “the elites” who are depicted as inherently “evil.” Naturally, the nature and composition of the people and the elite vary according to both ideology and political opportunities. This article examines the discursive construction of political opponents in two populist radical right parties: Lega in Italy and Vox in Spain. Based on the analysis of a selection of tweets by the two party leaders, Santiago Abascal and Matteo Salvini, this study applies clause-based semantic text analysis to detect the main discursive representations of political opponents. The article concludes that Salvini focuses all the attention on the left, while Abascal, although predominantly identifying the left as the main enemy, also targets pro-independence parties. The discursive construction of the “enemy” is based on two main strategies: demonization, the framing of opponents as “enemies of the people” who, along with dangerous “Others” such as immigrants, conspire against the “people” and are blamed for everything that is “wrong” in society; secondly, character assassination of individual politicians through personal attacks, which aim to undermine their reputation and deflect attention from the real issues towards their personal traits and actions. metadata Cervi, Laura and Tejedor, Santiago and Gracia Villar, Mónica mail UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es (2023) Twitting Against the Enemy: Populist Radical Right Parties Discourse Against the (Political) “Other”. Politics and Governance, 11 (2). ISSN 2183-2463

Book Section Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books Abierto Español En este trabajo se han mostrado algunos de los factores que inciden en la brecha sexista en emprendimiento metadata Mazas Pérez-Oleaga, Cristina and Alexeeva-Alexeev, Inna mail cristina.mazas@uneatlantico.es, inna.alexeeva@uneatlantico.es (2023) Un análisis empírico de los factores que determinan la brecha sexista en emprendimiento. In: Feminismo en la línea del tiempo, desde las (in)visibilidades al concepto de felicidad. Conocimiento Contemporáneo (98). Dykinson, Madrid, pp. 650-676. ISBN 9788411229258

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Blockchain and machine learning (ML) has garnered growing interest as cutting-edge technologies that have witnessed tremendous strides in their respective domains. Blockchain technology provides a decentralized and immutable ledger, enabling secure and transparent transactions without intermediaries. Alternatively, ML is a sub-field of artificial intelligence (AI) that empowers systems to enhance their performance by learning from data. The integration of these data-driven paradigms holds the potential to reinforce data privacy and security, improve data analysis accuracy, and automate complex processes. The confluence of blockchain and ML has sparked increasing interest among scholars and researchers. Therefore, a bibliometric analysis is carried out to investigate the key focus areas, hotspots, potential prospects, and dynamical aspects of the field. This paper evaluates 700 manuscripts drawn from the Web of Science (WoS) core collection database, spanning from 2017 to 2022. The analysis is conducted using advanced bibliometric tools (e.g., Bibliometrix R, VOSviewer, and CiteSpace) to assess various aspects of the research area regarding publication productivity, influential articles, prolific authors, the productivity of academic countries and institutions, as well as the intellectual structure in terms of hot topics and emerging trends. The findings suggest that upcoming research should focus on blockchain technology, AI-powered 5G networks, industrial cyber-physical systems, IoT environments, and autonomous vehicles. This paper provides a valuable foundation for both academic scholars and practitioners as they contemplate future projects on the integration of blockchain and ML. metadata Akrami, Nouhaila El and Hanine, Mohamed and Flores, Emmanuel Soriano and Aray, Daniel Gavilanes and Ashraf, Imran mail UNSPECIFIED (2023) Unleashing the Potential of Blockchain and Machine Learning: Insights and Emerging Trends From Bibliometric Analysis. IEEE Access, 11. pp. 78879-78903. ISSN 2169-3536

Article Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The primary objectives of this research article were twofold. Firstly, to categorise a total of 294 individuals who aspired to three distinct competency profiles associated with the supervision of international car sales (SPV). Secondly, to prioritise the criteria used for measurement and assess the level of satisfaction attained following the provision of targeted online training for each respective position. Segmentation was performed using the K-Means algorithm on a Likert scale importance questionnaire. Satisfaction indicators were derived by applying fuzzy set methods to the results of a satisfaction questionnaire, also using a Likert scale. The measurement criteria did not show any clear negative perceptions. The overall satisfaction index was 0.7, which was supported by classic statistics and placed in a high category. Additionally, a variable analysis revealed that candidates from the Euro-Asian region exhibited significantly low levels of satisfaction. However, no significant associations were observed between satisfaction levels and gender, income profile, completed training action, or age groups. The researchers rigorously employed a methodology that included assessing the validity and reliability of the instrument. A review of relevant literature also supported the analysis of the results. These findings suggest that the method could be applied to other multidisciplinary programmes to make informed decisions in the field of training. metadata Brito Ballester, Julién and Gracia Villar, Mónica and Soriano Flores, Emmanuel and García Villena, Eduardo mail julien.brito@uneatlantico.es, monica.gracia@uneatlantico.es, emmanuel.soriano@uneatlantico.es, eduardo.garcia@uneatlantico.es (2023) Use of Fuzzy Approach Methodology and Consensus in Creating a Hierarchy of Satisfaction for Measurement Criteria: Application to Online Training Actions Directed at Classification by Key Competency Profiles in Sales Supervision (SPV) within the Automotive. International Journal of Operations and Quantitative Management, 29 (2). pp. 223-251.

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Inglés Purpose: The purpose of this study was to to evaluate the validity of a new IMU device that allows measuring different actions in futsal real game situations. Methods: 10 high elite futsal players performed a typical futsal training task, this is, a 4v4 in 28x20m with a duration of 180 seconds, where players worn two tracking devices, the new one (OLIVER) and the already validated device (WIMU). Data recorded by the OLIVER and WIMU PRO systems were compared after the training process. Descriptive analysis was performed for each variable, and a one-way ANOVA was developed to calculate the validity of OLIVER compared with WIMU report. Results: The results reported good validity for most of the variables analyzed, such as total distance, distance covered in different splits, as well as number of accelerations and decelerations and maximal speed (P > .05). However, distance covered at low velocity (0-6 km/h) and high acceleration quantity (>2m/s2) reported statistical differences from OLIVER to WIMU. Conclusion: The OLIVER system can be stated as a valid technology for monitoring external load in specific training tasks in futsal, which ensures an improvement in the monitoring training process metadata Uribarria, Héctor Gadea and Lago-Fuentes, Carlos and Bores Arce, Ainhoa and López- García, Sergio and Ibañez, Enrique and Serrano, Carlos and Mainer-Pardos, Elena mail UNSPECIFIED, carlos.lago@uneatlantico.es, ainhoa.bores@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) Validity of a new tracking device for futsal match. Acta kinesiologica (N2 202). ISSN 1840-2976

Book Section Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Cerrado Inglés Olive (Olea europaea) is a native species from the Mediterranean region and widely cultivated for its edible fruit, known as olives. Olives are a rich source of monounsaturated fatty acids, vitamin E, and polyphenols, and have been shown to have various health benefits. They are commonly used for cooking and are also employed in cosmetics and the pharmaceutical industry. The extract obtained from olive fruits and several subproducts of the olive industry has demonstrated several biological activities mainly associated with their antioxidant and inflammatory properties. Thus, olives, olive-derived products, and subproducts of the olive industry have gained popularity in recent years due to their potential health benefits and their use in traditional medicine. The present chapter summarizes the main applications of Olea europaea and olive oil processing by-products as therapeutic agents against cancer, cardiovascular diseases, and antimicrobial agents. metadata Rivas-Garcia, Lorenzo and Navarro-Hortal, Maria D. and Romero-Marquez, Jose M. and Llopis, Juan and Forbes-Hernández, Tamara Y. and Xiao, Jianbo and Quiles, José L. and Sanchez-Gonzalez, Cristina mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es, UNSPECIFIED (2023) Valorization of Olea europaea and olive oil processing by-products/wastes. In: Valorization of Wastes/by-products in the Design of Functional Foods/Supplements. Academic Press, pp. 193-212. ISBN 9780323955676

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Cerrado Inglés Functional foods have emerged as an attractive option for many consumers, given their wide-ranging and long-term benefits. The functional food market size was valued at USD 177,770 Million in 2019 and is estimated to reach USD 267,924.4 Million by 2027, registering a CAGR of 6.7% from 2021 to 2027. Various natural products/compounds exert significant functional activity, and could also added value to food products alone or in combination, provided functional activity. The use of natural compounds in preparation of functional foods is important due to its higher safety, superior organoleptic properties, and functional attributes, resulted in wider consumer acceptance. Also, the use of advanced technologies in formulation of functional foods provides a better means of utilizing natural compounds for organoleptic and functional attributes. metadata Battino, Maurizio and Belwal, Tarun and Prieto, Miguel A. mail maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Valorization of food products using natural functional compounds for improving organoleptic and functional chemistry. Food Chemistry, 403. p. 134181. ISSN 03088146

Article Subjects > Biomedicine
Subjects > Physical Education and Sport
Europe University of Atlantic > Research > Articles and books Abierto Inglés Cancer constitutes a significant global contributor to morbidity and mortality, inducing adverse effects that impact individuals both during and after treatment. Noteworthy among these effects are depression, anxiety, fatigue, and diminished quality of life. This study aims to ascertain the association between quality of life, fatigue, depression, and anxiety variables and engagement in physical exercise within a cohort of cancer patients and survivors affiliated with the Spanish Association Against Cancer of Cantabria. Additionally, the investigation seeks to identify barriers contributing to physical inactivity in this demographic. Employing a descriptive research design, this study endeavours to illuminate the interplay between these factors in the specified population. A survey was conducted to assess variables such as physical exercise levels, quality of life, fatigue, depression, anxiety, and barriers to physical activity. The findings indicated correlations between physical exercise and depression (p=0.002), anxiety (p< 0.001), fatigue (p< 0.001), and quality of life (p< 0.001) in both cancer patients and survivors. Similarly, survivors exhibited associations between physical exercise and depression (p<0.001), anxiety (p<0.001), fatigue (p<0.001), and quality of life (p<0.001). Conversely, patients and survivors demonstrated significant differences in individual (p<0.001), interpersonal (p=0.002), community-institutional (p=0.001), and time-obligations (p=0.002) barriers. The outcomes affirm the impact of physical exercise on depression, anxiety, fatigue, and quality of life among both cancer patients and survivors, while also elucidating the barriers that rationalize physical inactivity within this demographic. metadata Santiago, Marta Victoria and Peláez, Mireia and Alemany Iturriaga, Josep and Pulgar, Susana mail UNSPECIFIED, mireia.pelaez@uneatlantico.es, josep.alemany@uneatlantico.es, UNSPECIFIED (2023) Variables related to Physical Exercise in Cancer Patients and Survivors. Revista de Psicolog\'\ia del Deporte (Journal of Sport Psychology), 32 (3). pp. 320-329. ISSN 1132-239X

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Background: Nutrition strategies improve physiological and biochemical adaptation to training, facilitate more intense workouts, promote faster recoveries after a workout in anticipation of the next, and help to prepare for a race and maintain the body’s hydration status. Although vegetarianism (i.e., lacto-ovo and veganism) has become increasingly popular in recent years, the number of vegetarian athletes is not known, and no specific recommendations have been made for vegetarian dietary planning in sports. Well-planned diets are mandatory to obtain the best performance, and the available literature reports that those excluding all types of flesh foods (meat, poultry, game, and seafood) neither find advantages nor suffer from disadvantages, compared to omnivorous diets, for strength, anaerobic, or aerobic exercise performance; additionally, some benefits can be derived for general health. Methods: We conceived the VegPlate for Sports, a vegetarian food guide (VFG) based on the already-validated VegPlate facilitating method, designed according to the Italian dietary reference intakes (DRIs). Results: The VegPlate for Sports is suitable for men and women who are active in sports and adhere to a vegetarian (i.e., lacto-ovo and vegan) diet, and provides weight-based, adequate dietary planning. Conclusions: The VegPlate for Sports represents a practical tool for nutrition professionals and gives the possibility to plan diets based on energy, carbohydrate (CHO), and protein (PRO) necessities, from 50 to 90 Kg body weight (BW). metadata Baroni, Luciana and Pelosi, Ettore and Giampieri, Francesca and Battino, Maurizio mail UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es (2023) The VegPlate for Sports: A Plant-Based Food Guide for Athletes. Nutrients, 15 (7). p. 1746. ISSN 2072-6643

Article Subjects > Teaching Europe University of Atlantic > Research > Articles and books Abierto Inglés This research is established within the framework of Project TIMONEL, developing in three phases under a concurrent mixed research model. The ultimate goal was to create a Web Recommendation System (RS) to complete the tutorial and guidance work of university professors. Both qualitative and quantitative data are collected from a large sample of students and professors from different European universities on the needs and situation of guidance practice (phase 1). In addition, certain cases are investigated and the reasons, knowledge, feelings and good practices in guidance and tutoring are explored, in order to identify opportunities for improvement and elements that enable the design of the RS (phase 2). The data collected in the first and second phases of project development were used to finally build a SR capable of receiving feedback from user contributions (phase 3). Finally, the SR was evaluated, proving to be a tool of great use for university students and faculty. metadata Pantoja-Vallejo, Antonio and Martín-Romera, Ana and Pueyo Villa, Silvia and Berrios-Aguayo, Beatriz mail UNSPECIFIED, UNSPECIFIED, silvia.pueyo@uneatlantico.es, UNSPECIFIED (2023) Virtues and shortcomings of guidance and tutoring in higher education: a longitudinal study of the TIMONEL Project. Humanities and Social Sciences Communications, 10 (1). ISSN 2662-9992

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés This study sought to investigate how different brain regions are affected by Alzheimer’s disease (AD) at various phases of the disease, using independent component analysis (ICA). The study examines six regions in the mild cognitive impairment (MCI) stage, four in the early stage of Alzheimer’s disease (AD), six in the moderate stage, and six in the severe stage. The precuneus, cuneus, middle frontal gyri, calcarine cortex, superior medial frontal gyri, and superior frontal gyri were the areas impacted at all phases. A general linear model (GLM) is used to extract the voxels of the previously mentioned regions. The resting fMRI data for 18 AD patients who had advanced from MCI to stage 3 of the disease were obtained from the ADNI public source database. The subjects include eight women and ten men. The voxel dataset is used to train and test ten machine learning algorithms to categorize the MCI, mild, moderate, and severe stages of Alzheimer’s disease. The accuracy, recall, precision, and F1 score were used as conventional scoring measures to evaluate the classification outcomes. AdaBoost fared better than the other algorithms and obtained a phenomenal accuracy of 98.61%, precision of 99.00%, and recall and F1 scores of 98.00% each. metadata Shahzadi, Samra and Butt, Naveed Anwer and Sana, Muhammad Usman and Elío Pascual, Iñaki and Briones Urbano, Mercedes and Díez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, inaki.elio@uneatlantico.es, mercedes.briones@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2023) Voxel Extraction and Multiclass Classification of Identified Brain Regions across Various Stages of Alzheimer’s Disease Using Machine Learning Approaches. Diagnostics, 13 (18). p. 2871. ISSN 2075-4418

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books Abierto Inglés Background Despite the relevance of cognitive processes such as rumination, worry, negative metacognitive beliefs in emotional disorders, the existing literature about how these cognitive processes moderate the effect of treatment in treatment outcomes is limited. The aim of the present study was to explore the potential moderator effect of baseline cognitive processes—worry, rumination and negative metacognitive beliefs—on the relationship between treatment allocation (transdiagnostic cognitive-behavioural therapy —TD-CBT plus treatment as usual—TAU vs. TAU alone) and treatment outcomes (anxiety and depressive symptoms, quality of life [QoL], and functioning) in primary care patients with emotional disorders. Methods A total of 631 participants completed scales to evaluate worry, rumination, negative metacognitive beliefs, QoL, functioning, and anxiety and depressive symptoms. Results Worry and rumination acted as moderators on the effect of treatment for anxiety (b = −1.25, p = .003; b = −0.98, p = .048 respectively) and depressive symptoms (b = −1.21, p = .017; b = −1.34, p = .024 respectively). Individuals with higher baseline levels of worry and rumination obtained a greater reduction in emotional symptoms from the addition TD-CBT to TAU. Negative metacognitive beliefs were not a significant moderator of any treatment outcome. Limitations The study assesses cognitive processes over a relatively short period of time and uses self-reported instruments. In addition, it only includes individuals with mild or moderate anxiety or depressive disorders, which limits generalization to other populations. Conclusions These results underscore the generalization of the TD-CBT to individuals with emotional disorders in primary care with different cognitive profiles, especially those with high levels of worry and rumination. metadata Barrio-Martínez, Sara and Cano-Vindel, Antonio and Priede, Amador and Medrano, Leonardo Adrián and Muñoz-Navarro, Roger and Moriana, Juan Antonio and Carpallo-González, María and Prieto-Vila, Maider and Ruiz-Rodríguez, Paloma and González-Blanch, César mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, cesar.gonzalezblanch@uneatlantico.es (2023) Worry, rumination and negative metacognitive beliefs as moderators of outcomes of Transdiagnostic group cognitive-behavioural therapy in emotional disorders. Journal of Affective Disorders, 338. pp. 349-357. ISSN 01650327

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés Elite performance and sporting success are often the result of optimal integration and synergy of all components of sports preparedness (i.e., health, technical and tactical skills, bioenergetic and neuromuscular abilities and capacities, anthropometric characteristics, cognition, emotions, creativity, or personality), which evolve because of systematic long-term sports preparation. However, the relative importance of these characteristics varies between individual and team sports. While some individual sports require a high standard of bioenergetic and neuromuscular abilities and capacities, team sports performance is closely related to technical and tactical skills, which may compensate for weakness within the fitness level (1). Nonetheless, successful team sport performances seem to be much more dependent on the interaction among a wide range of factors than on the maximum development of one or two factors in isolation. In team sports, elite performance emerges from the interaction among the individual parts (2) to overcome the opponent during competition. Sports may be categorized according to the degree of predictability of the environment that they are played in (3). Team sports occur in highly unpredictable environments due to the interactions with both teammates and opponents, with performance dealing with this unpredictability. Thus, it is important to have a clear understanding of the integrative systems and the principles that rule their interactions with the environment, keeping in mind the main aim of the process: developing the diversity/unpredictability potential of athletes/teams (4) to afford the emergence of rich patterns of behavior from players to adapt quickly and effectively in dynamically changing and unpredictable environments (5). Performance in team sports is affected by several factors that affect the organization of training and competitions. These include, for example, COVID-19 cases (6), PCR tests (7), air flights and their effects prior to competition (8), injuries (9), or match-congested schedules (10). The interaction among these factors may also influence player availability. The concept of player availability is a common one in elite team sports. Available players can be considered the ones who are injury-free and ready to compete whether the head coach chooses to put them on the lineup. Thus, an available state would be when a player is fit and recovered enough to compete. On the other hand, player unavailability would be considered a state which includes injury, sanction or suspension, or other reasons that would keep a player out of match. However, this topic needs to be explored more in elite team sport environments. Considering previous enriching work, it remains important to further progress and provide academic knowledge in order to support coaches/managers, strength and conditioning coaches, sport scientists, and medical team members (e.g., doctors, physicians, and physiotherapists) in their working environments. While widely-advocated scientific groundwork is considered throughout this manuscript, the main aim of this opinion article is to provide a review of factors related to player availability and its influence on performance in elite team sports (Figure 1). Finally, some practical suggestions and recommendations are provided to deal with constant alterations in player's availability and performance fluctuations. metadata Calleja-González, Julio and Mallo, Javier and Cos, Francesc and Sampaio, Jaime and Jones, Margaret T. and Marqués-Jiménez, Diego and Mielgo-Ayuso, Juan and Freitas, Tomás T. and Alcaraz, Pedro E. and Vilamitjana, Javier and Ibañez, Sergio J. and Cuzzolin, Francesco and Terrados, Nicolás and Bird, Stephen P. and Zubillaga, Asier and Huyghe, Thomas and Jukic, Igor and Lorenzo, Alberto and Loturco, Irineu and Delextrat, Anne and Schelling, Xavi and Gómez-Ruano, Miguel and López-laval, Isaac and Vazquez, Jairo and Conte, Daniele and Velarde-Sotres, Álvaro and Bores Cerezal, Antonio and Ferioli, Davide and García, Franc and Peirau, Xavier and Martin-Acero, Rafael and Lago-Peñas, Carlos mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, alvaro.velarde@uneatlantico.es, antonio.bores@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2023) A commentary of factors related to player availability and its influence on performance in elite team sports. Frontiers in Sports and Active Living, 4. ISSN 2624-9367

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Cerrado Inglés The Internet of Things (IoT) is a network of interconnected devices that includes low-end devices (sensors) and high-end devices (servers). The routing protocol used the Low-Power and Lossy Networks (RPL) protocol, which was designed to collect data in Low-Power and Lossy Networks (LLN) efficiently and reliably. The RPL rank property specifies how sensor nodes are placed in Destination Oriented Directed Acyclic Graphs (DODAG) based on an Objective Function (OF). The OF includes information such as the Expected Transmission Count (ETX) and packet delivery rate. The rank property aids in routing path optimization, reducing control overhead, and maintaining a loop-free topology by using rank-based data path validation. However, it causes many issues, such as optimal parent selection, next-hop node selection, and network instability. We proposed an Enhanced Opportunistic Rank-based Parent Node Selection for Sustainable and Smart IoT Networks to address these issues. The optimal parent node is determined by forecasting the expected energy of each node using Received Signal Strength (RSS) and an enhanced reinforcement learning algorithm. The proposed method addresses the issue of selecting the next-hop neighbor node and improves routing stability. Furthermore, when a large number of new nodes try to join the sustainable IoT-based smart cities, the proposed technique provides optimal load balance metadata Chithaluru, Premkumar and Singh, Aman and Mahmoud, Mahmoud Shuker and Kumar, Sunil and Vidal Mazón, Juan Luis and Alkhayyat, Ahmed and Anand, Divya mail UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es, UNSPECIFIED, divya.anand@uneatlantico.es (2023) An enhanced opportunistic rank-based parent node selection for sustainable & smart IoT networks. Sustainable Energy Technologies and Assessments, 56. p. 103079. ISSN 22131388

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Objective This study aims to develop a lightweight convolutional neural network-based edge federated learning architecture for COVID-19 detection using X-ray images, aiming to minimize computational cost, latency, and bandwidth requirements while preserving patient privacy. Method The proposed method uses an edge federated learning architecture to optimize task allocation and execution. Unlike in traditional edge networks where requests from fixed nodes are handled by nearby edge devices or remote clouds, the proposed model uses an intelligent broker within the federation to assess member edge cloudlets' parameters, such as resources and hop count, to make optimal decisions for task offloading. This approach enhances performance and privacy by placing tasks in closer proximity to the user. DenseNet is used for model training, with a depth of 60 and 357,482 parameters. This resource-aware distributed approach optimizes computing resource utilization within the edge-federated learning architecture. Results The experimental results demonstrate significant improvements in various performance metrics. The proposed method reduces training time by 53.1%, optimizes CPU and memory utilization by 17.5% and 33.6%, and maintains accurate COVID-19 detection capabilities without compromising the F1 score, demonstrating the efficiency and effectiveness of the lightweight convolutional neural network-based edge federated learning architecture. Conclusion Existing studies predominantly concentrate on either privacy and accuracy or load balancing and energy optimization, with limited emphasis on training time. The proposed approach offers a comprehensive performance-centric solution that simultaneously addresses privacy, load balancing, and energy optimization while reducing training time, providing a more holistic and balanced solution for optimal system performance. metadata Alvi, Sohaib Bin Khalid and Nayyer, Muhammad Ziad and Jamal, Muhammad Hasan and Raza, Imran and de la Torre Diez, Isabel and Rodríguez Velasco, Carmen Lilí and Breñosa, Jose and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carmen.rodriguez@uneatlantico.es, josemanuel.brenosa@uneatlantico.es, UNSPECIFIED (2023) A lightweight deep learning approach for COVID-19 detection using X-ray images with edge federation. DIGITAL HEALTH, 9. ISSN 2055-2076

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Inglés Introduction: The study aims to explore whether NIRS derived data can be used to identify the second ventilatory threshold (VT2) during a maximal incremental treadmill test in non-professional runners and to determine if there is a correlation between SmO2 and other valid and reliable exercise performance assessment measures or parameters for maximal incremental test, such as lactate concentration (LT), RPE, HR, and running power (W). Methods: 24 participants were recruited for the study (5 women and 19 men). The devices used consisted of the following: i) a muscle oxygen saturation analyzer placed on the vastus lateralis of the right leg, ii) the Stryd power meter for running, iii) the Polar H7 heart rate band; and iv) the lactate analyzer. In addition, a subjective perceived exertion scale (RPE 1-10) was used. All of the previously mentioned devices were used in a maximal incremental treadmill test, which began at a speed of 8 km/h with a 1% slope and a speed increase of 1.2 km/h every 3 min. This was followed by a 30-s break to collect the lactate data between each 3-min stage. Spearman correlation was carried out and the level of significance was set at p < 0.05. Results: The VT2 was observed at 87,41 ± 6,47% of the maximal aerobic speed (MAS) of each participant. No relationship between lactate data and SmO2 values (p = 0.076; r = −0.156) at the VT2 were found. No significant correlations were found between the SmO2 variables and the other variables (p > 0.05), but a high level of significance and strong correlations were found between all the following variables: power data (W), heart rate (HR), lactate concentration (LT) and RPE (p < 0.05; r > 0.5). Discussion: SmO2 data alone were not enough to determine the VT2, and there were no significant correlations between SmO2 and the other studied variables during the maximal incremental treadmill test. Only 8 subjects had a breakpoint at the VT2 determined by lactate data. Conclusion: The NIRS tool, Humon Hex, does not seem to be useful in determining VT2 and it does not correlate with the other variables in a maximal incremental treadmill test. metadata Osmani, Florent and Lago-Fuentes, Carlos and Alemany Iturriaga, Josep and Barcala Furelos, Martín mail florent.osmani@uneatlantico.es, carlos.lago@uneatlantico.es, josep.alemany@uneatlantico.es, martin.barcala@uneatlantico.es (2023) The relationship of muscle oxygen saturation analyzer with other monitoring and quantification tools in a maximal incremental treadmill test. Frontiers in Physiology, 14. ISSN 1664-042X

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Noncommunicable chronic diseases (NCDs) are among the leading causes of death and disability worldwide. The most common NCDs are cancer, obesity, cardiovascular diseases, and diabetes. Nowadays, they represent one of the greatest challenges health systems face worldwide. The increase in the consumption of polyphenol-rich foods could contribute to the reduction of these pathologies, due to their antioxidant, anti-inflammatory, anticancer, immunomodulatory, and cardiovascular protective properties, among others. This review aims to highlight some studies carried out in recent years to enhance the possible benefits of a diet rich in polyphenols in the prevention or treatment of NCDs. metadata Armas Díaz, Yasmany and Ferreiro Cotorruelo, Maria Soledad and Battino, Maurizio mail UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es (2023) The role of dietary polyphenols in the control of chronic noncommunicable diseases. Food Safety and Health, 1 (1). pp. 13-21. ISSN 2835-1096

Article Subjects > Teaching Europe University of Atlantic > Research > Articles and books Abierto Inglés The present article shows a didactic application based on the use of authentic materials and English for Specific Purposes (ESP) in a university class. The designed proposal was applied throughout a period of fifteen weeks in an English as a foreign language subject, equivalent to a B1.2 level according to the Common European Framework of Reference for Languages (CEFR). This lesson plan was applied in a group class of forty students belonging to two different bachelor’s degrees: Psychology, and Sports Science and Physical Activity metadata Sánchez-Bejerano, Lucía mail lucia.sanchez@uneatlantico.es (2023) The use of authentic materials in an English for Specific Purposes university class. Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas, 17 (35).

2022

Article Subjects > Biomedicine
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés Background: The aim of this study was to relate adherence to the Mediterranean diet (MedDiet) to the prevalence of metabolic syndrome (MetS) in an elderly population from the north of Spain. Methods: We carried out an observational, descriptive, cross-sectional, and correlational study involving 556 non-institutionalised individuals aged 65 to 79 years. The MEDAS-14 questionnaire score was used to define the degree of adherence to the Mediterranean diet. The diagnosis of MetS was conducted using the International Diabetes Federation (IDF) criteria. Results: In 264 subjects with an average age of 71.9 (SD: ±4.2), 39% of whom were men, 36.4% had good adherence (score ≥ 9 in MEDAS-14), with no differences by gender or age. The prevalence of MetS was 40.2%, with 47.6% in men and 35.4% in women (p < 0.05). The prevalence of MetS was 2.4 times more frequent among individuals who consumed less than two servings (200 g) of vegetables daily compared with those who consumed two or more servings of vegetables daily (OR: 2.368, 95%CI: 1.141–4.916, p = 0.021). Low adherence to the MedDiet (MEDAS-14 score ≤ 8) was associated with an 82% higher prevalence of MetS (OR: 1.817, 95%CI: 1.072–3.081, p = 0.027). Conclusion: An inverse relationship was established between adherence to the MedDiet and the prevalence of MetS metadata Cubas-Basterrechea, Gloria and Elío Pascual, Iñaki and Alonso, Guzmán and Otero, Luis and Gutiérrez-Bardeci, Luis and Puente, Jesús and Muñoz-Cacho, Pedro mail UNSPECIFIED, inaki.elio@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) Adherence to the Mediterranean Diet Is Inversely Associated with the Prevalence of Metabolic Syndrome in Older People from the North of Spain. Nutrients, 14 (21). p. 4536. ISSN 2072-6643

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Age-related macular degeneration (AMD) is a serious degenerative disease affecting the eyes, and is the main cause of severe vision loss among people >55 years of age in developed countries. Its onset and progression have been associated with several genetic and lifestyle factors, with diet appearing to play a pivotal role in the latter. In particular, dietary eating patterns rich in plant foods have been shown to lower the risk of developing the disease, and to decrease the odds of progressing to more advanced stages in individuals already burdened with early AMD. We systematically reviewed the literature to analyse the relationship between the adherence to a Mediterranean diet, a mainly plant-based dietary pattern, and the onset/progression of AMD. Eight human observational studies were analysed. Despite some differences, they consistently indicate that higher adherence to a Mediterranean eating pattern lowers the odds of developing AMD and decreases the risk of progression to more advanced stages of the disease, establishing the way for preventative measures emphasizing dietary patterns rich in plant-foods metadata Gastaldello, Annalisa and Giampieri, Francesca and Quiles, José L. and Navarro-Hortal, María D. and Aparicio Obregón, Silvia and García Villena, Eduardo and Tutusaus, Kilian and De Giuseppe, Rachele and Grosso, Giuseppe and Cianciosi, Danila and Forbes-Hernández, Tamara Y. and Nabavi, Seyed M. and Battino, Maurizio mail UNSPECIFIED, francesca.giampieri@uneatlantico.es, jose.quiles@uneatlantico.es, UNSPECIFIED, silvia.aparicio@uneatlantico.es, eduardo.garcia@uneatlantico.es, kilian.tutusaus@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es (2022) Adherence to the Mediterranean-Style Eating Pattern and Macular Degeneration: A Systematic Review of Observational Studies. Nutrients, 14 (10). p. 2028. ISSN 2072-6643

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Artificial intelligence has been widely used in the field of dentistry in recent years. The present study highlights current advances and limitations in integrating artificial intelligence, machine learning, and deep learning in subfields of dentistry including periodontology, endodontics, orthodontics, restorative dentistry, and oral pathology. This article aims to provide a systematic review of current clinical applications of artificial intelligence within different fields of dentistry. The preferred reporting items for systematic reviews (PRISMA) statement was used as a formal guideline for data collection. Data was obtained from research studies for 2009–2022. The analysis included a total of 55 papers from Google Scholar, IEEE, PubMed, and Scopus databases. Results show that artificial intelligence has the potential to improve dental care, disease diagnosis and prognosis, treatment planning, and risk assessment. Finally, this study highlights the limitations of the analyzed studies and provides future directions to improve dental care metadata Fatima, Anum and Shafi, Imran and Afzal, Hammad and Díez, Isabel De La Torre and Lourdes, Del Rio-Solá M. and Breñosa, Jose and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2022) Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives. Healthcare, 10 (11). p. 2188. ISSN 2227-9032

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Abierto Inglés Excess alcohol consumption is known to be detrimental to human health. However, the role of light-to-moderate alcohol intake is under investigation for potential certain health benefits—mostly related to the cardiovascular system. Nevertheless, there is no univocal agreement on this matter, and research is still ongoing to clarify whether there might be other potential outcomes affected by alcohol intake. In this regard, there is evidence that excess alcohol intake may negatively influence the risk of osteoporotic fractures. However, there is no comprehensive evidence of literature assessing the role of alcohol consumption in bone mineral density (BMD) and the risk of osteoporotic fractures. Thus, the aim of this study was to quantitatively assess the dose–response relationship between alcohol intake and BMD and risk of osteoporotic fractures. The Embase and MEDLINE electronic databases were searched from their inception to December 2021 for articles providing a quantifiable measurement of alcohol consumption for at least three categories and (1) a measurement of BMD (and dispersion as continuous variables) in some area of the body or (2) risk of osteoporotic fracture provided as relative risk (RR) or hazard ratio (HR), with a 95% confidence interval (CI) as the measure of the association of each category with alcohol intake. A total of 11 studies including 46,916 individuals with BMD assessment and 8 studies including 240,871 individuals with risk of fracture analysis were included. Compared to non-drinkers, consumption of up to two standard drinks of alcohol per day was correlated with higher lumbar and femur neck BMD values, while up to one standard drink of alcohol was correlated with higher hip BMD compared to no alcohol consumption. Higher risk of hip fractures was found starting from three standard drinks of alcohol per day (RR = 1.33, 95% CI: 1.04; 1.69 for three alcoholic drinks/d, and RR = 1.59, 95% CI: 1.23; 2.05 for four alcoholic drinks/d) compared to no alcohol consumption, with no evidence of heterogeneity. Concerning the risk of any osteoporotic fractures, the risk steadily increased with higher intake of alcohol, although never reaching statistical significance. In conclusion, there is consistent evidence that increased alcohol consumption is associated with higher risk of osteoporotic hip fracture; however, the role of alcohol at lower doses is uncertain, as BMD was even higher in light drinkers compared to abstainers. metadata Godos, Justyna and Giampieri, Francesca and Chisari, Emanuele and Micek, Agnieszka and Paladino, Nadia and Forbes-Hernández, Tamara Y. and Quiles, José L. and Battino, Maurizio and La Vignera, Sandro and Musumeci, Giuseppe and Grosso, Giuseppe mail UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) Alcohol Consumption, Bone Mineral Density, and Risk of Osteoporotic Fractures: A Dose–Response Meta-Analysis. International Journal of Environmental Research and Public Health, 19 (3). p. 1515. ISSN 1660-4601

Article Subjects > Biomedicine
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés Alzheimer's is a chronic degenerative disease of the central nervous system considered the leading cause of dementia in the world. It is characterized by two etiopathological events related to oxidative stress: the aggregation of β-amyloid peptide and the formation of neurofibrillary tangles of hyperphosphorylated Tau protein in the brain. The incidence of this disease increases with age and has been associated with inadequate lifestyles. Some natural compounds have been shown to improve the hallmarks of the disease. However, despite its potential, there is no scientific evidence about Manuka honey (MH) in this regard. In the present work we evaluated the effect of MH on the toxicity induced by Aβ aggregation and Tau in a Caenorhabditis elegans model. Our results demonstrated that MH was able to improve indicators of oxidative stress and delayed Aβ-induced paralysis in the AD model CL4176 through HSP-16.2 and SKN-1/NRF2 pathways. Nevertheless, its sugar content impaired the indicators of locomotion (an indicator of tau neurotoxicity) in both the transgenic strain BR5706 and in the wild-type N2 worms. metadata Navarro-Hortal, María D. and Romero-Márquez, Jose M. and Muñoz-Ollero, Pedro and Jiménez-Trigo, Victoria and Esteban-Muñoz, Adelaida and Tutusaus, Kilian and Giampieri, Francesca and Battino, Maurizio and Sánchez-González, Cristina and Rivas-García, Lorenzo and Llopis, Juan and Forbes-Hernández, Tamara Y. and Quiles, José L. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, kilian.tutusaus@uneatlantico.es, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es (2022) Amyloid β-but not Tau-induced neurotoxicity is suppressed by Manuka honey via HSP-16.2 and SKN-1/Nrf2 pathways in an in vivo model of Alzheimer's disease. Food & Function. ISSN 2042-6496

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The fast expansion of ICT (information and communications technology) has provided rich sources of data for the analysis, modeling, and interpretation of human mobility patterns. Many researchers have already introduced behavior-aware protocols for a better understanding of architecture and realistic modeling of behavioral characteristics, similarities, and aggregation of mobile users. We are introducing the similarity analytical framework for the mobile encountering analysis to allow for more direct integration between the physical world and cyber-based systems. In this research, we propose a method for finding the similarity behavior of users’ mobility patterns based on location and time. This research was conducted to develop a technique for producing co-occurrence matrices of users based on their similar behaviors to determine their encounters. Our approach, named SAA (similarity analysis approach), makes use of the device info i.e., IP (internet protocol) and MAC (media access control) address, providing an in-depth analysis of similarity behaviors on a daily basis. We analyzed the similarity distributions of users on different days of the week for different locations based on their real movements. The results show similar characteristics of users with common mobility behaviors based on location and time to showcase the efficacy. The results show that the proposed SAA approach is 33% more accurate in terms of recognizing the user’s similarity as compared to the existing similarity approach. metadata Memon, Ambreen and Kilby, Jeff and Breñosa, Jose and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2022) Analysis and Implementation of Human Mobility Behavior Using Similarity Analysis Based on Co-Occurrence Matrix. Sensors, 22 (24). p. 9898. ISSN 1424-8220

Article Subjects > Social Sciences
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Innovation plays a pivotal role in the progress and goodwill of an organization, and its ability to thrive. Consequently, the impact analysis of innovation on the performance of an organization holds great importance. This paper presents a two-stage analytical framework to examine the impact of business innovation on a firm’s performance, especially firms from the manufacturing sector. The prime objective is to identify the factors that have an impact on firm-level innovation, and to examine the impact of firm-level innovation on business performance. The framework and its analysis are based on the latest World Bank enterprise survey, with a sample size of 696 manufacturing firms. The first stage of the proposed framework establishes the analytical results through Bivariate Probit, which indicates that research and development (R&D) has a significantly positive impact on the product, process, marketing, and organizational innovations. It thus highlights the important role of the allocation of lump-sum amounts for R&D activities. The statistical analysis shows that innovation does not depend on the size of the firms. Moreover, the older firms are found to be wiser at conducting R&D than newer firms that are reluctant to take risks. The second stage of the proposed framework separately analyzes the impacts of the product and organizational innovation, and the process and marketing innovation on the firm performance, and finds them to be statistically significant and insignificant, respectively. metadata Aslam, Mahrukh and Shafi, Imran and Ahmad, Jamil and Álvarez, Roberto Marcelo and Miró Vera, Yini Airet and Soriano Flores, Emmanuel and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, roberto.alvarez@uneatlantico.es, yini.miro@uneatlantico.es, emmanuel.soriano@uneatlantico.es, UNSPECIFIED (2022) An Analytical Framework for Innovation Determinants and Their Impact on Business Performance. Sustainability, 15 (1). p. 458. ISSN 2071-1050

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés With the global spread of COVID-19, the governments advised the public for adopting safety precautions to limit its spread. The virus spreads from people, contaminated places, and nozzle droplets that necessitate strict precautionary measures. Consequently, different safety precautions have been implemented to fight COVID-19 such as wearing a facemask, restriction of social gatherings, keeping 6 feet distance, etc. Despite the warnings, highlighted need for such measures, and the increasing severity of the pandemic situation, the expected number of people adopting these precautions is low. This study aims at assessing and understanding the public perception of COVID-19 safety precautions, especially the use of facemask. A unified framework of sentiment lexicon with the proposed ensemble EB-DT is devised to analyze sentiments regarding safety precautions. Extensive experiments are performed with a large dataset collected from Twitter. In addition, the factors leading to a negative perception of safety precautions are analyzed by performing topic analysis using the Latent Dirichlet allocation algorithm. The experimental results reveal that 12% of the tweets correspond to negative sentiments towards facemask precaution mainly by its discomfort. Analysis of change in peoples’ sentiment over time indicates a gradual increase in the positive sentiments regarding COVID-19 restrictions. metadata Qamar, Usman and Ahmad, Ayaz and Rustam, Furqan and Saad, Eysha and Siddique, Muhammad Abubakar and Lee, Ernesto and Ortega-Mansilla, Arturo and Díez, Isabel de la Torre and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, arturo.ortega@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Analyzing preventive precautions to limit spread of COVID-19. PLOS ONE, 17 (8). e0272350. ISSN 1932-6203

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés Industries need solutions that can automatically monitor oil leakage from deployed underwater pipelines and to rapidly report any damage. The location prediction of mineral reservoirs like oil, gas, or metals in deep water is a challenge during the extraction of these resources. Moreover, the problem of ores and mineral deposits on the seafloor comes into play. The abovementioned challenges necessitate for the deployment of underwater wireless sensor networks (UWSNs). Anchor-based localization techniques are segregated into range-free and range-based processes. Range-based schemes depend on various techniques like angle of arrival (AoA), time of arrival (ToA), time difference of arrival (TDoA), and received signal strength indicator (RSSI). In this article, the localization of these leakages is performed by using range-based metrics for calculating the distance among anchor nodes (ANs) and target nodes (TNs). This estimated distance is further optimized to minimize the estimation error. A multilateralism procedure is used to estimate the optimal position of each TN. The results exhibit that the proposed algorithm shows a high performance when compared to previous works, in terms of minimum energy consumption, lower packet loss, rapid location estimation, and lowest localization error. The benefit of using the proposed methodology greatly impacts on identifying the leakage area in mobility-assisted UWSN, where rapid reporting helps to lower the loss of resources. metadata Goyal, Nitin and Nain, Mamta and Singh, Aman and Abualsaud, Khalid and Alsubhi, Khalid and Ortega-Mansilla, Arturo and Zorba, Nizar mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, arturo.ortega@uneatlantico.es, UNSPECIFIED (2022) An Anchor-Based Localization in Underwater Wireless Sensor Networks for Industrial Oil Pipeline Monitoring. IEEE Canadian Journal of Electrical and Computer Engineering, 45 (4). pp. 466-474. ISSN 2694-1783

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The demand for cloud computing has drastically increased recently, but this paradigm has several issues due to its inherent complications, such as non-reliability, latency, lesser mobility support, and location-aware services. Fog computing can resolve these issues to some extent, yet it is still in its infancy. Despite several existing works, these works lack fault-tolerant fog computing, which necessitates further research. Fault tolerance enables the performing and provisioning of services despite failures and maintains anti-fragility and resiliency. Fog computing is highly diverse in terms of failures as compared to cloud computing and requires wide research and investigation. From this perspective, this study primarily focuses on the provision of uninterrupted services through fog computing. A framework has been designed to provide uninterrupted services while maintaining resiliency. The geographical information system (GIS) services have been deployed as a test bed which requires high computation, requires intensive resources in terms of CPU and memory, and requires low latency. Keeping different types of failures at different levels and their impacts on service failure and greater response time in mind, the framework was made anti-fragile and resilient at different levels. Experimental results indicate that during service interruption, the user state remains unaffected. metadata Mir, Tahira Sarwar and Liaqat, Hannan Bin and Kiren, Tayybah and Sana, Muhammad Usman and Álvarez, Roberto Marcelo and Miró Vera, Yini Airet and Pascual Barrera, Alina Eugenia and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, roberto.alvarez@uneatlantico.es, yini.miro@uneatlantico.es, alina.pascual@unini.edu.mx, UNSPECIFIED (2022) Antifragile and Resilient Geographical Information System Service Delivery in Fog Computing. Sensors, 22 (22). p. 8778. ISSN 1424-8220

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés, Español Actualmente la gestión de proyectos cuenta con muchas herramientas y metodologías que buscan desarrollar proyectos exitosos, no siempre es posible cumplir con los objetivos fijados desde su concepción. Una gran parte de los proyectos de construcción son ejecutados sin ser evaluados y documentados adecuadamente a lo largo de su ciclo de vida, aumentando las probabilidades de ser un proyecto fallido y de no cumplir con la rentabilidad o uso esperado. El caso de estudio es sobre un proyecto hidroeléctrico que fue iniciado con personal propio de una empresa privada hondureña (EPH)[1], que al poco tiempo empezó a presentar una serie de inconvenientes que generaron desfases en costos y en tiempo. Cuando se había utilizado el 85% del presupuesto original estimado y se observa un avance de obra menor al 50%, la EPH decidió contratar a una empresa supervisora externa (ESE) para darle seguimiento al proyecto, revisar el diseño del mismo y que se asegurara que el proyecto fuera culminado. El proyecto fue culminado con un año y ocho meses adicionales de construcción y el costo del total final superó en 7.5 millones de dólares americanos del presupuesto original. El objetivo principal de esta investigación es la de analizar la eficiencia y sostenibilidad del proyecto para obtener lecciones que posibiliten la identificación de las fallas y aciertos en los desvíos alcanzados a lo largo del mismo y, a partir de ellos, generar recomendaciones que le permitan a la organización corregir y mejorar su actual metodología para sus futuros proyectos. metadata Ramírez López, Ana Mellissa and Mazzetto, Matías Ariel mail UNSPECIFIED (2022) Análisis y mejores prácticas proyectuales de una obra civil hidroeléctrica de Honduras. Project Design and Management, 4 (2). ISSN 2683-1597

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Population and industrial growth in Mexico’s Bajío region demand greater electricity consumption. The production of electricity from fuel oil has severe implications on climate change and people’s health due to SO2 emissions. This study describes the simulation of eight different scenarios for SO2 pollutant dispersion. It takes into account distance, geoenvironmental parameters, wind, terrain roughness, and Pasquill–Gifford–Turner atmospheric stability and categories of dispersion based on technical information about SO2 concentration from stacks and from one of the atmospheric monitoring stations in Salamanca city. Its transverse character, its usefulness for modeling, and epidemiological, meteorological, and fluid dynamics studies, as suggested by the models approved by the Environmental Protection Agency (EPA), show a maximum average concentration of 399 µg/m3, at an average distance of 1800 m. The best result comparison in the scenarios was scenery 8. Maximum nocturnal dispersion was shown at a wind speed of 8.4 m/s, and an SO2 concentration of 280 µg/m3 for stack 4, an atypical situation due to the geography of the city. From the validation process, a relative error of 14.7 % was obtained, which indicates the reliability of the applied Gaussian model. Regarding the mathematical solution of the model, this represents a reliable and low-cost tool that can help improve air quality management, the location or relocation of atmospheric monitoring stations, and migration from the use of fossil fuels to environmentally friendly fuels. metadata Violante Gavira, Amanda Enrriqueta and Sosa González, Wadi Elim and Pali-Casanova, Ramón and Yam Cervantes, Marcial Alfredo and Aguilar Vega, Manuel and Chacha Coto, Javier and Zavala Loría, José del Carmen and Dzul López, Luis Alonso and García Villena, Eduardo mail amanda@ugto.mx, UNSPECIFIED, ramon.pali@unini.edu.mx, marcial.yam@unini.edu.mx, UNSPECIFIED, UNSPECIFIED, jose.zavala@unini.edu.mx, luis.dzul@uneatlantico.es, eduardo.garcia@uneatlantico.es (2022) Application of the Gaussian Model for Monitoring Scenarios and Estimation of SO2 Atmospheric Emissions in the Salamanca Area, Bajío, Mexico. Atmosphere, 13 (6). p. 874. ISSN 2073-4433

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés With rapid urbanization, high rates of industrialization, and inappropriate waste disposal, water quality has been substantially degraded during the past decade. So, water quality prediction, an essential element for a healthy society, has become a task of great significance to protecting the water environment. Existing approaches focus predominantly on either water quality or water consumption prediction, utilizing complex algorithms that reduce the accuracy of imbalanced datasets and increase computational complexity. This study proposes a simple architecture of neural networks which is more efficient and accurate and can work for predicting both water quality and water consumption. An artificial neural network (ANN) consisting of one hidden layer and a couple of dropout and activation layers is utilized in this regard. The approach is tested using two datasets for predicting water quality and water consumption. Results show a 0.96 accuracy for water quality prediction which is better than existing studies. A 0.99 R2 score is obtained for water consumption prediction which is superior to existing state-of-the-art approaches. metadata Rustam, Furqan and Ishaq, Abid and Kokab, Sayyida Tabinda and de la Torre Diez, Isabel and Vidal Mazón, Juan Luis and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) An Artificial Neural Network Model for Water Quality and Water Consumption Prediction. Water, 14 (21). p. 3359. ISSN 2073-4441

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Beside honey, honeybees (Apis mellifera L.) are able to produce many byproducts, including bee pollen, propolis, bee bread, royal jelly, and beeswax. Even if the medicinal properties of these byproducts have been recognized for thousands of years by the ancient civilizations, in the modern era, they have a limited use, essentially as nutritional supplements or health products. However, these natural products are excellent sources of bioactive compounds, macro- and micronutrients, that, in a synergistic way, confer multiple biological activities to these byproducts, such as, for example, antimicrobial, antioxidant, and anti-inflammatory properties. This work aims to update the chemical and phytochemical composition of bee pollen, propolis, bee bread, royal jelly, and beeswax and to summarize the main effects exerted by these byproducts on human health, from the anticancer and immune-modulatory activities to the antidiabetic, hypolipidemic, hypotensive, and anti-allergic properties. metadata Giampieri, Francesca and Quiles, José L. and Cianciosi, Danila and Forbes-Hernández, Tamara Yuliett and Orantes-Bermejo, Francisco Josè and Alvarez-Suarez, José Miguel and Battino, Maurizio mail francesca.giampieri@uneatlantico.es, jose.quiles@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es (2022) Bee Products: An Emblematic Example of Underutilized Sources of Bioactive Compounds. Journal of Agricultural and Food Chemistry. ISSN 0021-8561

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books Abierto Inglés, Español La resolución de conflictos y el bienestar emocional son cruciales ante situaciones de estrés agudo como puede ser el trabajo policial. Es por ello que los objetivos de este trabajo son: (1) identificar el estilo de resolución de conflictos predominante en las Fuerzas y Cuerpos de Seguridad del Estado español, (2) describir la relación entre resolución de conflictos e inteligencia emocional y, (3) describir la relación entre resolución de conflictos y bienestar psicológico. Se ha utilizado una muestra de 434 participantes pertenecientes de los Cuerpos y Fuerzas de Seguridad del Estado y se ha medido con distintos cuestionarios el bienestar emocional, la inteligencia emocional y los estilos de resolución de conflictos. El estilo predominante era el evitativo en más de la mitad de la muestra. Las variables asertividad y bienestar psicológico pueden explicar el 78.1% de la varianza del estilo integrador. Se han encontrado correlaciones estadísticamente significativas entre la inteligencia emocional y estilos de resolución de conflicto. En base a los resultados, podría ser beneficioso instruir a los trabajadores en técnicas de mediación y resolución de conflictos tal y como se ha realizado en algunas ocasiones (ej. Medipol). A diferencia de otros estudios anteriores, se han encontrado correlatos significativos entre algunas variables de inteligencia emocional y los estilos de resolución de conflictos. metadata Antuña Camblor, Celia mail UNSPECIFIED (2022) Bienestar psicológico, inteligencia emocional y resolución de conflictos en miembros de los Cuerpos y Fuerzas de Seguridad del Estado español: un estudio correlacional. MLS Psychology Research, 5 (2).

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés UNSPECIFIED metadata Kimothi, Sanjeev and Thapliyal, Asha and Akram, Shaik Vaseem and Singh, Rajesh and Gehlot, Anita and Mohamed, Heba G. and Anand, Divya and Ibrahim, Muhammad and Delgado Noya, Irene mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, UNSPECIFIED, irene.delgado@uneatlantico.es (2022) Big Data Analysis Framework for Water Quality Indicators with Assimilation of IoT and ML. Electronics, 11 (13). p. 1927. ISSN 2079-9292

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The highly fragmented blockchain and cryptocurrency ecosystem necessitates interoperability mechanisms as a requirement for blockchain-technology acceptance. The immediate implication of interchain interoperability is automatic swapping between cryptocurrencies. We performed a systematic review of the existing literature on Blockchain interoperability and atomic cross-chain transactions. We investigated different blockchain interoperability approaches, including industrial solutions, categorized them and identified the key mechanisms used, and list several example projects for each category. We focused on the atomic transactions between blockchain, a process also known as atomic swap. Furthermore, we studied recent implementations along with architectural approaches for atomic swap and deduced research issues and challenges in cross-chain interoperability and atomic swap. Atomic swap can instantly transfer tokens and significantly reduce the associated costs without using any centralized authority, and thus facilitates the development of a sustainable payment system for wider financial inclusion. metadata Mohanty, Debasis and Anand, Divya and Aljahdali, Hani Moaiteq and Gracia Villar, Santos mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es (2022) Blockchain Interoperability: Towards a Sustainable Payment System. Sustainability, 14 (2). p. 913. ISSN 2071-1050

Conference or Workshop Item Subjects > Engineering Europe University of Atlantic > Research > Articles and books Cerrado Inglés Emergence of IoT applications and distributed computing has propelled the development of computing services which can handle dynamic requests at the network edge. Fog computing paradigm has evolved tremendously over the years for achieving above objective. Resource management in fog layer always remains the hot spot which is required to be addressed through some efficient load balancing techniques. Heuristic, Meta-heuristic, Probabilistic, Graph theory based and hybrid load balancing techniques are developed over the past few years to manage workload incurred at the fog servers. This paper provides the brief description of such methods and their comparative analysis in a tabular form. Major area of focus is the overall technique, simulation tool, parameters of evaluation, advantages and disadvantages of the proposed load balancing approaches. Potential researchers can carry forward and extend this research at the next level after analysing the research gaps from the literature survey. metadata Batra, Salil and Anand, Divya and Singh, Aman mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es (2022) A Brief Overview of Load Balancing Techniques in Fog Computing Environment. In: 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI 2022), 28-30 April 2022, Tirunelveli, India..

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Building energy consumption prediction has become an important research problem within the context of sustainable homes and smart cities. Data-driven approaches have been regarded as the most suitable for integration into smart houses. With the wide deployment of IoT sensors, the data generated from these sensors can be used for modeling and forecasting energy consumption patterns. Existing studies lag in prediction accuracy and various attributes of buildings are not very well studied. This study follows a data-driven approach in this regard. The novelty of the paper lies in the fact that an ensemble model is proposed, which provides higher performance regarding cooling and heating load prediction. Moreover, the influence of different features on heating and cooling load is investigated. Experiments are performed by considering different features such as glazing area, orientation, height, relative compactness, roof area, surface area, and wall area. Results indicate that relative compactness, surface area, and wall area play a significant role in selecting the appropriate cooling and heating load for a building. The proposed model achieves 0.999 R2 for heating load prediction and 0.997 R2 for cooling load prediction, which is superior to existing state-of-the-art models. The precise prediction of heating and cooling load, can help engineers design energy-efficient buildings, especially in the context of future smart homes metadata Chaganti, Rajasekhar and Rustam, Furqan and Daghriri, Talal and Díez, Isabel de la Torre and Vidal Mazón, Juan Luis and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) Building Heating and Cooling Load Prediction Using Ensemble Machine Learning Model. Sensors, 22 (19). p. 7692. ISSN 1424-8220

Conference or Workshop Item Subjects > Engineering Europe University of Atlantic > Research > Articles and books Cerrado Inglés Education 4.0 is a gradually growing environment, which will affect every walks of our life over a couple of decades. The intent of this paper presents a brief study of the Education 4.0 environment. This study further elaborates and recommends the use of IFC (Internet of Things, Fog, and Cloud) technological-integration for the implementation of Education 4.0. The assessment and accreditation process that ensures the quality in the education industry will also be unveiled in this study. Real-time and intervallic scenarios of the assessment and accreditation process are also illustrated in this study. The intent of this study recommends the use of real-time assessment, prediction, irregularity detection, and alert generation under the ambient environment of Education 4.0. The study further recommends the use of an intervallic accreditation scenario for Education 4.0, which makes this modal suitable for both ideal and dynamic environments under Education 4.0. metadata Verma, Anil and Anand, Divya and Singh, Aman and Vij, Rishika mail UNSPECIFIED, divya.anand@uneatlantico.es, aman.singh@uneatlantico.es, UNSPECIFIED (2022) C-IoT Inspired Real-Time and Intervallic Accreditation Under Education 4.0. In: 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS).

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Developments in medical care have inspired wide interest in the current decade, especially to their services to individuals living prolonged and healthier lives. Alzheimer’s disease (AD) is the most chronic neurodegeneration and dementia-causing disorder. Economic expense of treating AD patients is expected to grow. The requirement of developing a computer-aided technique for early AD categorization becomes even more essential. Deep learning (DL) models offer numerous benefits against machine learning tools. Several latest experiments that exploited brain magnetic resonance imaging (MRI) scans and convolutional neural networks (CNN) for AD classification showed promising conclusions. CNN’s receptive field aids in the extraction of main recognizable features from these MRI scans. In order to increase classification accuracy, a new adaptive model based on CNN and support vector machines (SVM) is presented in the research, combining both the CNN’s capabilities in feature extraction and SVM in classification. The objective of this research is to build a hybrid CNN-SVM model for classifying AD using the MRI ADNI dataset. Experimental results reveal that the hybrid CNN-SVM model outperforms the CNN model alone, with relative improvements of 3.4%, 1.09%, 0.85%, and 2.82% on the testing dataset for AD vs. cognitive normal (CN), CN vs. mild cognitive impairment (MCI), AD vs. MCI, and CN vs. MCI vs. AD, respectively. Finally, the proposed approach has been further experimented on OASIS dataset leading to accuracy of 86.2%. metadata Sethi, Monika and Rani, Shalli and Singh, Aman and Vidal Mazón, Juan Luis and Bhatia, Surbhi mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, juanluis.vidal@uneatlantico.es, UNSPECIFIED (2022) A CAD System for Alzheimer’s Disease Classification Using Neuroimaging MRI 2D Slices. Computational and Mathematical Methods in Medicine, 2022. pp. 1-11. ISSN 1748-670X

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Inglés Background: Understanding fatigue mechanisms is crucial for exercise performance. However, scientific evidence on non-invasive methods for assessing fatigue in trail running competitions is scarce, especially when vertical kilometer trail running races (VK) are considered. The main purpose of this study was to assess the autonomic nervous system (ANS) activity (i.e., central fatigue) and the state of muscle activation (i.e., peripheral fatigue) before and after a VK competition. Methods: A cross-sectional pilot study was performed. After applying inclusion/exclusion criteria, 8 recreational male trail runners (31.63 ± 7.21 yrs, 1.75 m ± 0.05 m, 70.38 ± 5.41 kg, BMI: 22.88 ± 0.48, running experience: 8.0 ± 3.63 yrs, weekly training volume: 58.75 ± 10.35 km) volunteered to participate and were assessed for both central (i.e., via heart rate variability, HRV) and peripheral (via tensiomyography, TMG) fatigue before and after a VK race. Results: After the VK, resting heart rate, RMSSD (p = 0.01 for both) and SDNN significantly decreased (p = 0.02), while the stress score and the sympathetic-parasympathetic ratio increased (p = 0.01 and p = 0.02, respectively). The TMG analyses suggest that runners already suffered peripheral fatigue before the VK and that 20–30 min are enough for muscular recovery after the race. In summary, our data suggest that participants experienced a pre-competition fatigue status. Further longitudinal studies are necessary to investigate the mechanisms underlying fatigue during trail running races, while training periodization and tapering strategies could play a key role for minimizing pre-competition fatigue status. metadata Muñoz-Pérez, Iker and Varela-Sanz, Adrián and Lago-Fuentes, Carlos and Navarro-Patón, Rubén and Mecías-Calvo, Marcos mail iker.munoz@uneatlantico.es, UNSPECIFIED, carlos.lago@uneatlantico.es, UNSPECIFIED, marcos.mecias@uneatlantico.es (2022) Central and Peripheral Fatigue in Recreational Trail Runners: A Pilot Study. International Journal of Environmental Research and Public Health, 20 (1). p. 402. ISSN 1660-4601

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés The aim of this study was to evaluate the influence of the lockdown due to the COVID-19 pandemic, on eating and physical activity behavior, in a university population. A healthy diet such as the Mediterranean Diet (MD) pattern, rich in fruit and vegetables, can prevent degenerative diseases such as obesity, diabetes, cardiovascular diseases, etc. We conducted a cross-sectional study and data were collected by an anonymous online questionnaire. Participants completed a survey consisting of 3 sections: sociodemographic data; dietary behavior and physical activity; the Mediterranean Diet questionnaire (MEDAS-14) and the Emotional Eater Questionnaire (EEQ). A total of 168 participants completed the questionnaire: 66.7% were women, 79.2% were from Spain, 76.8% were students, 76.2% lived in their family home and 66.1% were of normal weight. During lockdown our population shopped for groceries 1 time or less per week (76.8%); maintained the same consumption of fruits (45.2%), vegetables (50.6%), dairy products (61.9%), pulses (64.9%), fish/seafood (57.7%), white meat (77.4%), red and processed meat (71.4%), pastries and snacks (48.2%), rice/pasta/potatoes (70.2%) and nuts (62.5%), spirits (98.8%) and sugary drinks (91.7%). Cooking time increased (73.2%) and the consumption decreased of low alcohol drinks (60.1%), spirits (75%) and sugary drinks (57.1%), and physical activity also diminished (49.4%). University Employees (UE) gained more weight (1.01 ± 0.02) than students (0.99 ± 0.03) (p < 0.05) during the confinement period. A total of 79.8% of the participants obtained a Medium/High Adherence to the MD during lockdown. Emotional and very emotional eaters were higher in the female group (p < 0.01). In the event of further confinement, strategies should be implemented to promote a balanced and healthy diet together with the practice of physical activity, taking special care of the female and UE groups. metadata Sumalla Cano, Sandra and Forbes-Hernández, Tamara and Aparicio-Obregón, Silvia and Crespo-Álvarez, Jorge and Elexpuru Zabaleta, Maria and Gracia Villar, Mónica and Giampieri, Francesca and Elío Pascual, Iñaki mail sandra.sumalla@uneatlantico.es, UNSPECIFIED, silvia.aparicio@uneatlantico.es, jorge.crespo@uneatlantico.es, maria.elexpuru@uneatlantico.es, monica.gracia@uneatlantico.es, francesca.giampieri@uneatlantico.es, inaki.elio@uneatlantico.es (2022) Changes in the Lifestyle of the Spanish University Population during Confinement for COVID-19. International Journal of Environmental Research and Public Health, 19 (4). p. 2210. ISSN 1660-4601

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés This study reports a characterization of the nutritional quality of several vegetables belonging to Brassica genus and other species cultivated in the central Italy. The aim of this trial is to investigate the antioxidant capacity and phytochemical content of several vegetable products during two consecutive years. The sensorial quality is investigated with the measuring of soluble solid content (SSC), titratable acidity (TA) and pH; the nutritional quality is investigated by the measurement of the total antioxidant capacity (TAC), the total phenols content (TPH), the total anthocyanins content (ACY), and the vitamin C content. The results confirm the highest antioxidant capacity of Brassica genus, in particular, the red curly kale (13.68 and 11.97 mM Trolox/kg fw in the two locations tested); among other vegetables analyzed, the most interesting are chicory and borage (10.3 and 11.94 mM Trolox/kg fw in the first year of cultivation in Valdaso, respectively). A high intake of these vegetables may bring a lot of health benefits linked to their antioxidative capacity and the vitamin C metadata Biondi, Francesca and Balducci, Francesca and Capocasa, Franco and Mei, Elena and Vagnoni, Massimo and Visciglio, Marino and Mezzetti, Bruno and Mazzoni, Luca mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, bruno.mezzetti@uneatlantico.es, UNSPECIFIED (2022) Characterization and Comparison of Raw Brassica and Grass Field Sensorial and Nutritional Quality. Applied Sciences, 12 (17). p. 8783. ISSN 2076-3417

Book Section Subjects > Teaching
Subjects > Psychology
Europe University of Atlantic > Research > Articles and books Cerrado Español UNSPECIFIED metadata Yélamos Torres, Vanessa and Martín Ayala, Juan Luis mail UNSPECIFIED, juan.martin@uneatlantico.es (2022) Ciberyet: proyecto de intervención desde la parentalidad positiva para influir en los comportamientos de ciberbullying de los hijos adolescentes. In: Acercamiento multidisciplinar para la investigación e intervención en contextos educativos. Dykinson, Madrid, pp. 15-26. ISBN 978-84-1122-872-5

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Abierto Inglés In this work, we performed a methodological comparative analysis to synthesize polyethyleneimine (PEI) nanoparticles using (i) conventional nanoprecipitation (NP), (ii) electrospraying (ES), and (iii) coaxial electrospraying (CA). The nanoparticles transported antisense oligonucleotides (ASOs), either encapsulated (CA nanocomplexes) or electrostatically bound externally (NP and ES nanocomplexes). After synthesis, the PEI/ASO nanoconjugates were functionalized with a muscle-specific RNA aptamer. Using this combinatorial formulation methodology, we obtained nanocomplexes that were further used as nanocarriers for the delivery of RNA therapeutics (ASO), specifically into muscle cells. In particular, we performed a detailed confocal microscopy-based comparative study to analyze the overall transfection efficiency, the cell-to-cell homogeneity, and the mean fluorescence intensity per cell of micron-sized domains enriched with the nanocomplexes. Furthermore, using high-magnification electron microscopy, we were able to describe, in detail, the ultrastructural basis of the cellular uptake and intracellular trafficking of nanocomplexes by the clathrin-independent endocytic pathway. Our results are a clear demonstration that coaxial electrospraying is a promising methodology for the synthesis of therapeutic nanoparticle-based carriers. Some of the principal features that the nanoparticles synthesized by coaxial electrospraying exhibit are efficient RNA-based drug encapsulation, increased nanoparticle surface availability for aptamer functionalization, a high transfection efficiency, and hyperactivation of the endocytosis and early/late endosome route as the main intracellular uptake mechanism metadata de la Hoz, Raquel and Diban, Nazely and Berciano, María T. and San Emeterio, Carlos and Urtiaga, Ane and Lafarga, Miguel and Rodríguez-Rey, José C. and Tapia Martínez, Olga mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carlos.sanemeterio@alumnos.uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, olga.tapia@uneatlantico.es (2022) Coaxial Synthesis of PEI-Based Nanocarriers of Encapsulated RNA-Therapeutics to Specifically Target Muscle Cells. Biomolecules, 12 (8). p. 1012. ISSN 2218-273X

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Español Antecedentes: Los socorristas son fundamentales en la reanimación del ahogado en parada cardiorrespiratoria. En las víctimas ahogadas es prioritario administrar oxigenación. Distintas técnicas de administración de ventilaciones se han investigado y hay controversia sobre la más efectiva. Objetivos: comparar el efecto de la ventilación boca a boca (VBB), ventilación con bolsa y mascarilla (VBM) y ventilación con pocket-mask (VPM) sobre la calidad de RCP entre socorristas recién certificados y socorristas profesionales en activo. Conclusiones: Los socorristas inexpertos recién certificados realizan mejor RCP, incluyendo la ventilación, que los que no han recibido una formación reciente. Es clave la actualización del SVB frecuente en socorristas. metadata Aranda García, Silvia and Carballo Fazanes, Aida and Otero Agra, Martín and Fernández Méndez, María and Barcala Furelos, Martín and Barcala Furelos, Roberto mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, martin.barcala@uneatlantico.es, UNSPECIFIED (2022) Comparación de la calidad en la ventilación de socorristas nóveles y veteranos. Un estudio piloto de simulación. Revista de Investigación en Actividades Acuáticas, 6 (11). pp. 37-43. ISSN 2530-805X

Article Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books Abierto Inglés This study compares the information coverage of the vaccine against the information of the COVID-19 pandemic in eight newspapers (two per country) from the United Kingdom, France, Spain and the United States. The newspapers analyzed are The Times and The Guardian (United Kingdom), Le Monde and Le Figaro (France), El País and El Mundo (Spain), and The New York Times and The Washington Post (United States). On a methodological level, the work uses a descriptive approach of hemerographic analysis. As a result, it is observed—in the case of coverage of the pandemic—that the presence of affected persons and health personnel in the front-page information was negligible, with a predominance of news journalistic genres (brief and newsworthy, especially), evidencing a leading role of political figures and the high degree of politicization of the crisis. In addition, the visual frames in the analyzed newspapers tended to promote humanization through emotional representation. On the other hand, the results of the news coverage of the vaccine showed a predominance of news journalistic genres, wherein supranational entities and pharmaceutical companies starred in the front pages to a greater extent. The study denotes the importance of media literacy among citizens, especially in the face of this type of informational events of global significance metadata Tejedor, Santiago and Cervi, Laura and Tusa, Fernanda and Gracia Villar, Mónica mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es (2022) Comparative Study of the Information about the COVID-19 Pandemic and COVID-19 Vaccines on the Covers of United Kingdom, France, Spain and United States’ Main Newspapers. Social Sciences, 11 (9). p. 412. ISSN 2076-0760

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Inglés The aim of the study was to compare the quality of CPR (Q-CPR), as well as the perceived fatigue and hand pain in a prolonged infant cardiopulmonary resuscitation (CPR) performed by lifeguards using three different techniques. A randomized crossover simulation study was used to compare three infant CPR techniques: the two-finger technique (TF); the two-thumb encircling technique (TTE) and the two-thumb-fist technique (TTF). 58 professional lifeguards performed three tests in pairs during a 20-min period of CPR. The rescuers performed compressions and ventilations in 15:2 cycles and changed their roles every 2 min. The variables of analysis were CPR quality components, rate of perceived exertion (RPE) and hand pain with numeric rating scale (NRS). All three techniques showed high Q-CPR results (TF: 86 ± 9%/TTE: 88 ± 9%/TTF: 86 ± 16%), and the TTE showed higher values than the TF (p = 0.03). In the RPE analysis, fatigue was not excessive with any of the three techniques (values 20 min between 3.2 for TF, 2.4 in TTE and 2.5 in TTF on a 10-point scale). TF reached a higher value in RPE than TTF in all the intervals analyzed (p < 0.05). In relation to NRS, TF showed significantly higher values than TTE and TTF (NRS minute 20 = TF 4.7 vs. TTE 2.5 & TTF 2.2; p < 0.001). In conclusion, all techniques have been shown to be effective in high-quality infant CPR in a prolonged resuscitation carried out by lifeguards. However, the two-finger technique is less efficient in relation to fatigue and hand pain compared with two-thumb technique (TF vs. TTF, p = 0.01). metadata Barcala-Furelos, Roberto and Barcala Furelos, Martín and Cano-Noguera, Francisco and Otero-Agra, Martín and Alonso-Calvete, Alejandra and Martínez-Isasi, Santiago and Aranda-García, Silvia and López-García, Sergio and Rodríguez-Núñez, Antonio mail UNSPECIFIED, martin.barcala@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) A Comparison between Three Different Techniques Considering Quality Skills, Fatigue and Hand Pain during a Prolonged Infant Resuscitation: A Cross-Over Study with Lifeguards. Children, 9 (6). p. 910. ISSN 2227-9067

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Asthma is a deadly disease that affects the lungs and air supply of the human body. Coronavirus and its variants also affect the airways of the lungs. Asthma patients approach hospitals mostly in a critical condition and require emergency treatment, which creates a burden on health institutions during pandemics. The similar symptoms of asthma and coronavirus create confusion for health workers during patient handling and treatment of disease. The unavailability of patient history to physicians causes complications in proper diagnostics and treatments. Many asthma patient deaths have been reported especially during pandemics, which necessitates an efficient framework for asthma patients. In this article, we have proposed a blockchain consortium healthcare framework for asthma patients. The proposed framework helps in managing asthma healthcare units, coronavirus patient records and vaccination centers, insurance companies, and government agencies, which are connected through the secure blockchain network. The proposed framework increases data security and scalability as it stores encrypted patient data on the Interplanetary File System (IPFS) and keeps data hash values on the blockchain. The patient data are traceable and accessible to physicians and stakeholders, which helps in accurate diagnostics, timely treatment, and the management of patients. The smart contract ensures the execution of all business rules. The patient profile generation mechanism is also discussed. The experiment results revealed that the proposed framework has better transaction throughput, query delay, and security than existing solutions metadata Farooq, Muhammad Shoaib and Suhail, Maryam and Qureshi, Junaid Nasir and Rustam, Furqan and de la Torre Díez, Isabel and Vidal Mazón, Juan Luis and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, juanluis.vidal@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) Consortium Framework Using Blockchain for Asthma Healthcare in Pandemics. Sensors, 22 (21). p. 8582. ISSN 1424-8220

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés The authors have requested to update the original publication of this article. Duplicate text in the second and third paragraphs of page 5 should be deleted. Acknowledgments section should be removed. The original article has been corrected. metadata Montano, Isabel Herrera and Lafuente, Elena Presencio and Breñosa, Jose and Ortega-Mansilla, Arturo and Díez, Isabel de la Torre and Río-Solá, María Lourdes Del mail UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, arturo.ortega@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Correction to: Systematic Review of Telemedicine and eHealth Systems Applied to Vascular Surgery. Journal of Medical Systems, 47 (1). ISSN 1573-689X

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés Large-scale distributed systems have the advantages of high processing speeds and large communication bandwidths over the network. The processing of huge real-world data within a time constraint becomes tricky, due to the complexity of data parallel task scheduling in a time constrained environment. This paper proposes data parallel task scheduling in cloud to address the minimization of cost and time constraints. By running concurrent executions of tasks on multi-core cloud resources, the number of parallel executions could be increased correspondingly, thereby, finishing the task within the deadline is possible. A mathematical model is developed here to minimize the operational cost of data parallel tasks by feasibly assigning a load to each virtual machine in the cloud data center. This work experiments with a machine learning model that is replicated on the multi-core cloud heterogeneous resources to execute different input data concurrently to accomplish distributive learning. The outcome of concurrent execution of data-intensive tasks on different parts of the input dataset gives better solutions in terms of processing the task by the deadline at optimized cost. metadata Rajalakshmi, N. R. and Dumka, Ankur and Kumar, Manoj and Singh, Rajesh and Gehlot, Anita and Akram, Shaik Vaseem and Anand, Divya and Elkamchouchi, Dalia H. and Delgado Noya, Irene mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, UNSPECIFIED, irene.delgado@uneatlantico.es (2022) A Cost-Optimized Data Parallel Task Scheduling with Deadline Constraints in Cloud. Electronics, 11 (13). p. 2022. ISSN 2079-9292

Article Subjects > Biomedicine
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books Abierto Español Ever since coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, was declared a pandemic on March 11, 2020, by the WHO, a concerted effort has been made to find compounds capable of acting on the virus and preventing its replication. In this context, researchers have refocused part of their attention on certain natural compounds that have shown promising effects on the virus. Considering the importance of this topic in the current context, this study aimed to present a critical review and analysis of the main reports of plant-derived compounds as possible inhibitors of the two SARS-CoV-2 proteases: main protease (Mpro) and Papain-like protease (PLpro). From the search in the PubMed database, a total of 165 published articles were found that met the search patterns. A total of 590 unique molecules were identified from a total of 122 articles as potential protease inhibitors. At the same time, 114 molecules reported as natural products and with annotation of theoretical support and antiviral effects were extracted from the COVID-19 Help database. After combining the molecules extracted from articles and those obtained from the database, we identified 648 unique molecules predicted as potential inhibitors of Mpro and/or PLpro. According to our results, several of the predicted compounds with higher theoretical confidence are present in many plants used in traditional medicine and even food, such as flavonoids, carboxylic acids, phenolic acids, triterpenes, terpenes phytosterols, and triterpenoids. These are potential inhibitors of Mpro and PLpro. Although the predictions of several molecules against SARS-CoV-2 are promising, little experimental information was found regarding certain families of compounds. Only 45 out of the 648 unique molecules have experimental data validating them as inhibitors of Mpro or PLpro, with the most frequent scaffold present in these 45 compounds being the flavone. The novelty of this work lies in the analysis of the structural diversity of the chemical space among the molecules predicted as inhibitors of SARS-CoV-2 Mpro and PLpro proteases and the comparison to those molecules experimentally validated. This work emphasizes the need for experimental validation of certain families of compounds, preferentially combining classical enzymatic assays with interaction-based methods. Furthermore, we recommend checking the presence of Pan-Assay Interference Compounds (PAINS) and the presence of molecules previously reported as inhibitors of Mpro or PLpro to optimize resources and time in the discovery of new SARS-CoV-2 antivirals from plant-derived molecules. metadata Guerra, Yasel and Celi, Diana and Cueva, Paul and Perez-Castillo, Yunierkis and Giampieri, Francesca and Alvarez-Suarez, José Miguel and Tejera, Eduardo mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Critical Review of Plant-Derived Compounds as Possible Inhibitors of SARS-CoV-2 Proteases: A Comparison with Experimentally Validated Molecules. ACS Omega. ISSN 2470-1343

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Español El objetivo de este trabajo fue cuantificar la especificidad de las sesiones de entrenamiento y competiciones sobre la línea metodológica del microciclo estructurado en un equipo de futbol profesional del torneo Apertura 2020 de la Liga de Expansión MX. Se recogieron los datos de entrenamiento y competición de un equipo del Torneo Apertura 2020 de la Liga de Expansión MX a lo largo de más de 3 meses del período competitivo. Dentro de dicho período, se registraron los valores de percepción subjetiva del esfuerzo, distancia con carga metabólica elevada, nivel de especificidad y duración de tareas y unidad de carga global, carga específica y unidad de carga específica. Una vez recogidos los datos, se realizó un análisis descriptivo de los datos así como se calculó la correlación de Pearson entre las principales variables analizadas. Los resultados mostraron correlaciones casi perfectas (r>0.9; p<0.001) entre las diferentes variables, a excepción de la relación entre carga específica y RPE, que fue categorizada como muy elevada (r=0.873, p<0.001). En conclusión, cuantificar la especificidad permitiría prescribirla y dosificarla, donde podría optimizar la planificación para el futbol formativo y profesional, ya que el entrenamiento específico produce altas adaptaciones al rendimiento. metadata Martínez-Ruiz, Enrique Agustín and Lago-Fuentes, Carlos and Barcala Furelos, Martín mail enrique.martinez@master.uneatlantico.es, carlos.lago@uneatlantico.es, martin.barcala@uneatlantico.es (2022) Cuantificación de especificidad en un microciclo estructurado en fútbol profesional. RICYDE. Revista internacional de ciencias del deporte, 18 (69). pp. 180-190. ISSN 18853137

Article Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books Abierto Inglés Culture and culturally specific beliefs or practices may influence perceptions and decisions, potentially contributing to childhood obesity. The objective of this study is to identify the cultural factors (expressed through decisions, behaviors, individual experiences, perceptions, attitudes, or views) related to childhood and adolescent obesity in Mexico. Ten databases and one search engine were searched from 1995 onwards for qualitative studies. The Sunrise Enabler Model, described within the Cultural Care Theory, guided this review. Sample, the phenomenon of interest, study design, and evaluation data were extracted, and the Critical Appraisals Skills Programme tool was used to assess the quality of the included studies. Twenty-four studies were included. Of these, 12 studies included children or adolescents, 12 included parents, eight included schoolteachers, four included school staff (other than teachers), four included food vendors, and one included policymakers. Cultural values, beliefs, lifeways (especially food and food costumes), kinship, and social factors (particularly immediate and extended family) strongly influenced childhood and adolescent obesity-related lifestyles in Mexico. Most cultural factors related to childhood obesity in Mexico identified in this review may be modifiable and amenable to practical interventions. metadata Aceves‐Martins, Magaly and López-Cruz, Lizet and García‐Botello, Marcela and Godina‐Flores, Naara L. and Gutierrez‐Gómez, Yareni Yunuen and Moreno‐García, Carlos Francisco mail UNSPECIFIED (2022) Cultural factors related to childhood and adolescent obesity in Mexico: A systematic review of qualitative studies. Obesity Reviews. ISSN 1467-7881

Article Subjects > Teaching Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Portugués Este trabalho apresenta o desafio e perspectivas da educação durante a Pandemia. O uso de tecnologias no ambiente escolar é essencial na contemporaneidade, devido ao cenário atual com a Pandemia de Coronavírus. Tratam-se de métodos praticamente indispensáveis para o dia a dia do ser humano nos dias atuais. As tecnologias adentraram o âmbito escolar, objetivando uma melhor qualidade no ensino, além de mais praticidade para o docente e para os alunos. Diante do exposto, esta pesquisa visa apresentar a defasagem na alfabetização. Para tal, foram realizadas pesquisas bibliográficas de cunho qualitativo e caráter descritivo, realizadas em artigos científicos, livros e acervos online. metadata Alves Guimarães, Ueudison and Aparecida dos Santos, Leidiane and Rodrigues Dantas de Brito, Junea Graciele mail UNSPECIFIED (2022) Desafios e perspectivas de educação: una visão dos professores durante a pandemia. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218, 3 (8). e381745. ISSN 2675-6218

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés, Español En España se generan 1.726.000 toneladas anuales de lactosuero. En particular, en Cantabria se habla de una generación de lactosuero de 15.600 toneladas al año. El lactosuero se considera un residuo altamente contaminante si se vierte directamente al medioambiente dado su contenido elevado en materia orgánica. Con este proyecto se buscaba desarrollar nuevos métodos para el tratamiento y aprovechamiento de este residuo. La separación de la fracción sólida del lactosuero fermentado se puede conseguir de forma sostenible y efectiva con bentonita. Por su parte, en la composición de la fracción líquida acidificada, clarificada y esterilizada (LCE), no se observaron presencia de compuestos de interés económico para la industria láctea. En cambio, sí se detectaron oportunidades para convertirlo en subproductos de valor añadido para el sector agrícola y conservero. En el caso de la agricultura, se trabajó en la obtención de un nuevo bioestimulante capaz de aportar minerales, proteínas, regulación del pH, etc. Por otro lado, también se considera que el mercado de la industria alimentaria de conservas vegetales puede suponer un mercado objetivo que integre este subproducto como líquido de cobertura (conservador) pudiendo sustituir al vinagre metadata Rosas Staff, Jesús Emilio and Acebo Garfias, María José mail UNSPECIFIED (2022) Desarrollo de tecnologías para la reutilización sostenible del lactosuero. Environmental Sciences and Practices, 1 (1).

Article Subjects > Engineering
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books Abierto Inglés, Español El proyecto persigue el aprovechamiento de los residuos del sector alimentario cántabro (residuos cereales de la industria de bebidas espirituosas y el suero de leche), con el objeto de fabricar un sustrato plástico comestible, biodegradable y compostable, como alternativa a la producción de plásticos actual, aportando una solución a favor de la valorización de residuos industriales. Para el desarrollo del sustrato plástico comestible, se partió de los compuestos arabinoxilanos y kefirán, provenientes de residuos cereales y del suero lácteo respectivamente. Se desarrollaron varias formulaciones para crear un prototipo pre-industrial del biocompuesto para el sustrato plástico comestible, asimismo, se realizó una búsqueda sobre el uso del lactosuero para la obtención de biofilm. Se elaboró un plan de explotación que evidenció la necesidad de vender 1900 kg de pellets de bioplástico al mes para asegurar la viabilidad económica del proceso. Esta producción tendría un coste unitario de 15 €/kg, inferior al precio de venta estimado de 20€/kg. Aunque se estima que el margen de beneficio empresarial no sería muy alto, los impactos ambientales positivos son suficientemente buenos como para considerar la implantación de la solución desarrollada. metadata Balsa Núñez, María and Martínez de la Fuente, Jorge mail UNSPECIFIED (2022) Desarrollo de un bioplástico comestible y compostable a partir de residuos de la industria alimentaria. Environmental Sciences and Practices, 1 (1).

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés To address the current pandemic, multiple studies have focused on the development of new mHealth apps to help in curbing the number of infections, these applications aim to accelerate the identification and self-isolation of people exposed to SARS-CoV-2, the coronavirus known to cause COVID-19, by being in close contact with infected individuals. The main objectives of this paper are: (1) Analyze the current status of COVID-19 apps available on the main virtual stores: Google Play Store and App Store for Spain, and (2) Propose a novel mobile application that allows interaction and doctor-patient follow-up without the need for real-time consultations (face-to-face or telephone). In this research, a search for eHealth and telemedicine apps related to Covid-19 was performed in the main online stores: Google Play Store and App Store, until May 2021. Keywords were entered into the search engines of the online stores and relevant apps were selected for study using a PRISMA methodology. For the design and implementation of the proposed app named COVINFO, the main weaknesses of the apps studied were taken into account in order to propose a novel and useful app for healthcare systems. The search yielded a total of 50 apps, of which 24 were relevant to this study, of which 23 are free and 54% are available for Android and iOS operating systems (OS). The proposed app has been developed for mobile devices with Android OS being compatible with Android 4.4 and higher. This app enables doctor-patient interaction and constant monitoring of the patient's progress without the need for calls, chats or face-to-face consultation in real time. This work addresses design and development of an application for the transmission of the user's symptoms to his regular doctor, based on the fact that only 16.6% of existing applications have this functionality. The COVINFO app offers a novel service: asynchronous doctor-patient communication, as well as constant monitoring of the patient’s condition and evolution. This app makes it possible to better manage the time of healthcare personnel and avoid overcrowding in hospitals, with the aim of preventing the collapse of healthcare systems and the spread of the coronavirus. metadata Herrera Montano, Isabel and Pérez Pacho, Javier and Gracia Villar, Santos and Aparicio Obregón, Silvia and Breñosa, Jose and de la Torre Díez, Isabel mail UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, silvia.aparicio@uneatlantico.es, josemanuel.brenosa@uneatlantico.es, UNSPECIFIED (2022) Descriptive Analysis of Mobile Apps for Management of COVID-19 in Spain and Development of an Innovate App in that field. Scientific Reports, 12 (1). ISSN 2045-2322

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Español Patient care and convenience remain the concern of medical professionals and caregivers alike. An unconscious patient confined to a bed may develop fluid accumulation and pressure sores due to inactivity and deficiency of oxygen flow. Moreover, weight monitoring is crucial for an effective treatment plan, which is difficult to measure for bedridden patients. This paper presents the design and development of a smart and cost-effective independent system for lateral rotation, movement, weight measurement, and transporting immobile patients. Optimal dimensions and practical design specifications are determined by a survey across various hospitals. Subsequently, the proposed hoist-based weighing and turning mechanism is CAD-modeled and simulated. Later, the structural analysis is carried out to select suitable metallurgy for various sub-assemblies to ensure design reliability. After fabrication, optimization, integration, and testing procedures, the base frame is designed to mount a hydraulic motor for the actuator, a DC power source for self-sustenance, and lockable wheels for portability. The installation of a weighing scale and a hydraulic actuator is ensured to lift the patient for weight measuring up to 600 pounds or lateral turning of 80 degrees both ways. The developed system offers simple operating characteristics, allows for keeping patient weight records, and assists nurses in changing patients’ lateral positions both ways, comfortably massage patients’ backs, and transport them from one bed to another. Additionally, being lightweight offers reduced contact with the patient to increase the healthcare staff’s safety in pandemics; it is also height adjustable and portable, allowing for use with multiple-sized beds and easy transportation across the medical facility. The feedback from paramedics is encouraging regarding reducing labor-intensive nursing tasks, alleviating the discomfort of long-term bed-ridden patients, and allowing medical practitioners to suggest better treatment plans metadata Shafi, Imran and Farooq, Muhammad Siddique and De La Torre Díez, Isabel and Breñosa, Jose and Martínez Espinosa, Julio César and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, UNSPECIFIED (2022) Design and Development of Smart Weight Measurement, Lateral Turning and Transfer Bedding for Unconscious Patients in Pandemics. Healthcare, 10 (11). p. 2174. ISSN 2227-9032

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Abstract: Sports injuries can affect the performance of athletes. For this reason, functional tests are used for injury assessment and prevention, analyzing physical or physiological imbalances and detecting asymmetries. The main aim of this study was to detect the asymmetries in the upper limbs (right and left arms) in athletes, using the OctoBalance Test (OB), depending on the stage of the season. Two hundred and fifty-two participants (age: 23.33 ± 8.96 years old; height: 178.63 ± 11.12 cm; body mass: 80.28 ± 17.61 kg; body mass index: 24.88 ± 4.58; sports experience: 12.52 ± 6.28 years), practicing different sports (rugby, athletics, football, swimming, handball, triathlon, basketball, hockey, badminton and volleyball), assessed with the OB in medial, superolateral, and inferolateral directions in both arms, in four moments of the season (May 2017, September 2017, February 2018 and May 2018). ANOVA test was used with repeated measures with a p ≤ 0.05, for the analysis of the different studied variances. Significant differences were found (p = 0.021) in the medial direction of the left arm, between the first (May 2017) and fourth stages (May 2018), with values of 71.02 ± 7.15 cm and 65.03 ± 7.66 cm. From the detection of asymmetries, using the OB to measure, in the medial, superolateral and inferolateral directions, mobility and balance can be assessed. In addition, it is possible to observe functional imbalances, as a risk factor for injury, in each of the stages into which the season is divided, which will help in the prevention of injuries and in the individualization of training. metadata Velarde-Sotres, Álvaro and Bores-Cerezal, Antonio and Mecías-Calvo, Marcos and Barcala Furelos, Martín and Aparicio Obregón, Silvia and Calleja-González, Julio mail alvaro.velarde@uneatlantico.es, antonio.bores@uneatlantico.es, marcos.mecias@uneatlantico.es, martin.barcala@uneatlantico.es, silvia.aparicio@uneatlantico.es, UNSPECIFIED (2022) Detection of Upper Limb Asymmetries in Athletes According to the Stage of the Season—A Longitudinal Study. International Journal of Environmental Research and Public Health, 19 (2). p. 849. ISSN 1660-4601

Article Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés This article proposes a discussion on the form of coexistence of local Development Agencies in Uruguay, with local governments in the face of the new scenarios marked by the decentralization process, initiated in the country with the Constitutional Reform of 1996 and culminating in February 2009, with the Law of Political Decentralization and Citizen Participation. The discussion applies in particular to the local development agency of the city of Rivera (ADR), located in the northeast of the country. A descriptive, mixed, bibliographic, documentary investigation was carried out with primary data collection to internal and external references to ADR. The results show that the coexistence of both institutions has been difficult, without defining clear roles. Promoting dialogue to define the role of each seems to be the great challenge facing the sustainability of the agency metadata Garat de Marin, Mirtha Silvana and Soriano Flores, Emmanuel and Rodríguez Velasco, Carmen Lilí and Silva Alvarado, Eduardo and Calderón Iglesias, Rubén and Álvarez, Roberto Marcelo and Gracia Villar, Santos mail silvana.marin@uneatlantico.es, emmanuel.soriano@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED, ruben.calderon@uneatlantico.es, roberto.alvarez@uneatlantico.es, santos.gracia@uneatlantico.es (2022) Development Agencies and Local Governments—Coexistence within the Same Territory. Social Sciences, 11 (9). p. 398. ISSN 2076-0760

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books Cerrado Inglés Displaced aggression is defined as the aggression conducted against someone or something that is not considered to be the trigger of the emotional state of the aggressor. Whereas it has been deeply studied in a general context, to date, very few studies have analysed it in the specific context of driving. Considering the inexistence of instruments to assess it, the aim of the current research was to develop and validate a self-report in order to assess displaced aggression in the driving context. A sample of 467 participants (66.8% female, Mage = 34.74) filled in a set of questionnaires including the 29 items that were designed to assess traffic displaced aggression, as well as other instruments measuring different ways of expressing both general and driving aggression. The results of both Parallel Analysis (PA, sub-sample 1) and Confirmatory Factor Analysis (CFA, sub-sample 2) showed a good fit of the two-factor model, retaining 20 out of the initial 29 items. The first factor was labelled as Displaced aggression due to the anger generated outside the vehicle (6 items, α = 0.83), whereas the second factor was labelled as Displaced aggression due to the anger generated inside the vehicle (14 items, α = 0.91). Both factors, as well as the total score, showed good results regarding convergent and divergent validity. Practical implications of the results, future research lines and limitations of the current study are discussed. metadata Herrero-Fernández, David and Bogdan-Ganea, Smaranda R. mail david.herrero@uneatlantico.es, UNSPECIFIED (2022) Development and validation of the traffic displaced aggression questionnaire. Transportation Research Part F: Traffic Psychology and Behaviour, 85. pp. 13-23. ISSN 13698478

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Background: To develop and validate a questionnaire for the screening of Vitamin D in Italian adults (Evaluation Vitamin D dEficieNCy Questionnaire, EVIDENCe-Q). Methods: 150 participants, attending the 11Clinical Nutrition and Dietetics Operative Unit, Internal Medicine and Endocrinology, Istituti Clinici Scientifici Maugeri IRCCS, of Pavia were enrolled. Demographic variables and serum levels of vitamin D were recorded. The EVIDENCe-Q included information regarding factors affecting the production, intake, absorption and metabolism of Vitamin D. The EVIDENCe-Q score ranged from 0 (the best status) to 36 (the worst status). Results: Participants showed an inadequate status of Vitamin D, according to the current Italian reference values. A significant difference (p < 0.0001) in the EVIDENCe-Q score was found among the three classes of vitamin D status (severe deficiency, deficiency and adequate), being the mean score higher in severe deficiency and lower in the adequate one. A threshold value for EVIDENCe-Q score of 23 for severe deficiency, a threshold value of 21 for deficiency and a threshold value of 20 for insufficiency were identified. According to these thresholds, the prevalence of severe deficiency, deficiency and insufficiency was 22%, 35.3% and 43.3% of the study population, respectively. Finally, participants with EVIDENCe-Q scores <20 had adequate levels of vitamin D. Conclusions: EVIDENCe-Q can be a useful and easy screening tool for clinicians in their daily practice at a reasonable cost, to identify subjects potentially at risk of vitamin D deficiency and to avoid unwarranted supplementation and/or costly blood testing. metadata De Giuseppe, Rachele and Tomasinelli, Chiara Elena and Cena, Hellas and Braschi, Valentina and Giampieri, Francesca and Preatoni, Giorgia and Centofanti, Domenico and Princis, Maria Pilar and Bartoletti, Emanuele and Biino, Ginevra mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) Development of a Short Questionnaire for the Screening for Vitamin D Deficiency in Italian Adults: The EVIDENCe-Q Project. Nutrients, 14 (9). p. 1772. ISSN 2072-6643

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Abierto Inglés Background: Aging society faces significant health challenges, among which cognitive-related disorders are emerging. Diet quality has been recognized among the major contributors to the rising prevalence of cognitive disorders, with increasing evidence of the putative role of plant-based foods and their bioactive components, including polyphenols. Dietary polyphenols, including phytoestrogens, have been hypothesized to exert beneficial effects toward brain health through various molecular mechanisms. However, the evidence on the association between dietary phytoestrogen intake and cognitive function is limited. The aim of this study was to investigate the association between phytoestrogen intake and cognitive status in a cohort of older adults living in Sicily, Southern Italy. Methods: Dietary information from 883 individuals aged 50 years or older was collected through a validated food frequency questionnaire. Cognitive status was assessed through the Short Portable Mental Status Questionnaire. Results: The highest total isoflavone (including daidzein and genistein) intake was inversely associated with cognitive impairment compared to the lowest (odds ratio (OR) = 0.43, 95% confidence interval (CI): 0.20–0.92). Higher intake of total lignans and, consistently, all individual compounds (with the exception of secoisolariciresinol) were inversely associated with cognitive impairment only in the unadjusted model. Conclusions: A higher intake of phytoestrogens, especially isoflavones, was associated with a better cognitive status in a cohort of older Italian individuals living in Sicily. Taking into account the very low intake of isoflavones in Italian diets, it is noteworthy to further investigate selected populations with habitual consumption of such compounds to test whether these results may be generalized to the Italian population. metadata Giampieri, Francesca and Godos, Justyna and Caruso, Giuseppe and Owczarek, Marcin and Jurek, Joanna and Castellano, Sabrina and Ferri, Raffaele and Caraci, Filippo and Grosso, Giuseppe mail francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) Dietary Phytoestrogen Intake and Cognitive Status in Southern Italian Older Adults. Biomolecules, 12 (6). p. 760. ISSN 2218-273X

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés The present study was designed to examine if dietary fat sources that have shown differences in lifespan and if some aging-related aspects can modulate the range of histopathologic changes in central nervous and endocrine systems that occur during the lifespan of Wistar rats. Moreover, it was attempted to gain insight into the relationship between longevity and the development of the different pathological changes, as well as possible interaction with diet. In order to achieve this, male Wistar rats were randomly assigned to three experimental groups fed semisynthetic and isoenergetic diets from weaning until death with different dietary fat sources, namely virgin olive, sunflower, or fish oil. An individual follow-up until death of each animal was performed. Incidence, severity, and burden of specific or group (i.e., neoplastic or non-neoplastic proliferative and non-proliferative) of lesions was calculated along with individual's disease and individual organ lesion burden. Most of the histopathological lesions found have been described in previous studies. Neoplasms, and in particular pituitary adenomas followed by brain tumors, were the most prevalent lesions found in the rats and the main cause of death involving both systems. Incidence of brain lesions was associated with age-at-death. Assayed dietary fats did not present differential effects on pathological changes occurring in endocrine and central nervous systems throughout rat lifespan. metadata Varela-López, Alfonso and Ramírez-Tortosa, César L. and Ramos-Pleguezuelos, Francisco M. and Márquez-Lobo, Bélgica and Battino, Maurizio and Quiles, José L. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, jose.quiles@uneatlantico.es (2022) Differences reported in the lifespan and aging of male Wistar rats maintained on diets containing fat with different fatty acid profiles (virgin olive, sunflower or fish oils) are not reflected by histopathological lesions found at death in central nervous and endocrine systems. Food and Chemical Toxicology, 168. p. 113357. ISSN 02786915

Article Subjects > Teaching Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The United Nations Educational, Scientific, and Cultural Organization (UNESCO) highlights the relevance of using information and communications technology (ICT) in education for improving the quality of education. To achieve this goal, it is necessary to extend research on digital competences in education. To advance the development of digital competencies it is necessary to take account of how teachers perceive these. In addition, systematic reviews of the literature on ICT and education show an imbalance regarding the amount of research from Africa compared to other regions of the world. In this sense, the objective of this study carried out between March 2019 and April 2020 was to analyse the perceptions of primary school teachers from 8 African countries about their digital competences. The teachers were master’s students in teacher training on virtual platforms. A mixed methodological perspective (quantitative-qualitative) was adopted and a questionnaire with closed and open-ended questions was applied. The quantitative and qualitative analyses show that the teachers recognised their digital competence at all 3 levels. The needs highlighted by teachers were in developing their knowledge of how to create content with the support of technology. However, the available resources, which differed in the participants’ work contexts and did not enable the equal use of ICT in all African countries, was an important issue highlighted by the participants. It is recommended that teacher training in digital competence is prepared using instructional design that promotes innovation and contact with real teaching-learning situations. metadata Sartor-Harada, Andresa and Azevedo-Gomes, Juliana and Ulloa-Guerra, Oscar and Ruiz Salces, Roberto and Calderón Iglesias, Rubén mail andresa.sartor@uneatlantico.es, juliana.azevedo@uneatlantico.es, oscar.ulloa@uneatlantico.es, roberto.ruiz@uneatlantico.es, ruben.calderon@uneatlantico.es (2022) Digital competencies: perceptions of primary school teachers pursuing master’s degrees from eight African countries. SA Journal of Education, 42 (3). ISSN 2076-3433

Book Section Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books Cerrado Inglés UNSPECIFIED metadata Alexeeva-Alexeev, Inna and Mazas Pérez-Oleaga, Cristina mail inna.alexeeva@uneatlantico.es, cristina.mazas@uneatlantico.es (2022) Digitalization through ICT Innovation: Analysis of the Impact of Factors on R&D Investment Decisions of Technological Companies. In: Digitalization in Business: On the Road to a Sustainable World. Nova Science Publisher, pp. 55-94. ISBN 979-8-88697-275-7

Article Subjects > Teaching Europe University of Atlantic > Research > Articles and books Abierto Inglés This paper studies undergraduate student attitudes towards team-based projects, connecting those attitudes to challenges and overall perception of this work. This study was conducted with 220 students in the context of three subjects taught at a Spanish University, that included collaborative projects as mandatory assignments to be developed over the course of the subject. The instrument was a Likert scale-based questionnaire. As a methodology, the Rasch model was used, making it possible to apply indirect measuring of students’ development level of various skills. The findings point to the difficulty in solving specific communication needs and managing students’ involvement and commitment to the project. The results obtained through Differential Item Functioning analysis (DIF) show that gender, year of study, students’ age, academic degrees, and the context of curricular subjects influence significantly the acquisition of skills related to collaborative work, facilitating or hindering their development among university students. These results have practical implications for the design of collaborative projects within higher education academic programs. They also suggest that the way collaborative work is usually planned is not very effective and should be reconsidered. metadata Alexeeva-Alexeev, Inna and Vidal Mazón, Juan Luis and Brito Ballester, Julién and Ruiz Salces, Roberto and Gracia Villar, Mónica and Mazas Pérez-Oleaga, Cristina mail inna.alexeeva@uneatlantico.es, juanluis.vidal@uneatlantico.es, julien.brito@uneatlantico.es, roberto.ruiz@uneatlantico.es, monica.gracia@uneatlantico.es, cristina.mazas@uneatlantico.es (2022) Do Young People Really Know How to Collaborate for Common Success? Study on Undergraduate Students’ Perception of Collaborative Work in a Spanish University. Teaching and Learning Inquiry, 10. ISSN 2167-4779

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Cerrado Inglés The Internet of Things (IoT) is a revolutionary technique of sharing data for smart devices that generates huge amounts of data from smart healthcare systems. Therefore, healthcare systems utilize the convergence power and traffic analysis of sensors that cannot be satisfactorily handled by the IoT. In this article, a novel mutation operator is devised and incorporated with the differential evolution (DE) algorithm. Two tests have been conducted in the validation process. Firstly, the newly dual adaption-based operators incorporated with the differential evolution algorithm are being proposed. The proposed approach provides sufficient diversity and enhances the search speed of nature’s local and global search environments in the problem. The proposed method incorporates the application of IoT-based smart healthcare. Second, an application-based test has been conducted, in which the proposed approach is applied to the application in the smart healthcare system. Therefore, IoT sensor deployment is an optimization problem to minimize service time, delay, and energy loss by considering the communication constraint between sensors(objects). The proposed algorithm is applied in this article to solve this optimization problem. Further, in the experimentation and comparative study, the proposed method is superior to the standard evolutionary algorithms in IoT applications concerning the minimum number of function evaluations and minimization of traffic services. The proposed approach also achieves efficiency in the minimum loss of energy in each service and reduces load and delay metadata Singh, Shailendra Pratap and Viriyasitavat, Wattana and Juneja, Sapna and Alshahrani, Hani and Shaikh, Asadullah and Dhiman, Gaurav and Singh, Aman and Kaur, Amandeep mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED (2022) Dual adaption based evolutionary algorithm for optimized the smart healthcare communication service of the Internet of Things in smart city. Physical Communication, 55. p. 101893. ISSN 18744907

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés Online learning systems have expanded significantly over the last couple of years. Massive Open Online Courses (MOOCs) have become a major trend on the internet. During the COVID-19 pandemic, the count of learner enrolment has increased in various MOOC platforms like Coursera, Udemy, Swayam, Udacity, FutureLearn, NPTEL, Khan Academy, EdX, SWAYAM, etc. These platforms offer multiple courses, and it is difficult for online learners to choose a suitable course as per their requirements. In order to improve this e-learning education environment and to reduce the drop-out ratio, online learners will need a system in which all the platform’s offered courses are compared and recommended, according to the needs of the learner. So, there is a need to create a learner’s profile to analyze so many platforms in order to fulfill the educational needs of the learners. To develop a profile of a learner or user, three input parameters are considered: personal details, educational details, and knowledge level. Along with these parameters, learners can also create their user profiles by uploading their CVs or LinkedIn. In this paper, the major innovation is to implement a user interface-based intelligent profiling system for enhancing user adaptation in which feedback will be received from a user and courses will be recommended according to user/learners’ preferences. metadata Kaur, Ramneet and Gupta, Deepali and Madhukar, Mani and Singh, Aman and Abdelhaq, Maha and Alsaqour, Raed and Breñosa, Jose and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, josemanuel.brenosa@uneatlantico.es, UNSPECIFIED (2022) E-Learning Environment Based Intelligent Profiling System for Enhancing User Adaptation. Electronics, 11 (20). p. 3354. ISSN 2079-9292

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés In a world where 1 billion people suffer from hunger, lands and seas are overexploited and production systems are unsustainable, and there is an urgent need to find alternative foods. In this context, insects represent a good source of macro- and micronutrients and even bioactive compounds that could contribute to reducing nutritional deficiency and preventing some human diseases. However, some aspects related to their consumption, including health risks, need to be clarified. This communication aims to summarize the nutritional/phytochemical profile of common edible insects and the main safety concerns, highlighting the possible strategies to promote entomophagy in a more conscious way. metadata Giampieri, Francesca and Alvarez‐Suarez, José M. and Machì, Michele and Cianciosi, Danila and Navarro‐Hortal, Maria D. and Battino, Maurizio mail francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es (2022) Edible insects: A novel nutritious, functional, and safe food alternative. Food Frontiers. ISSN 2643-8429

Article Subjects > Teaching Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Portugués O objetivo foi discutir sobre a educação em contexto: experiências e práticas docentes. O conhecimento empírico vem da história de vida pessoal de cada professor e é um conhecimento gerado pelos professores em sua prática diária. A partir dessa questão, buscamos possíveis fontes de conhecimento empírico e sua possível relação com a formação docente, a prática docente e sua atuação nas escolas, buscando encontrar caminhos para qualificar a prática docente. O método de revisão de literatura permite a inclusão de pesquisas experimentais e não experimentais, a combinação da obtenção de dados empíricos e teóricos, pode levar à definição de conceitos, identificação de lacunas no campo da pesquisa, revisão teórica e análise de métodos de pesquisa sobre um determinado tema. O desenvolvimento desse método requer recursos, conhecimentos e habilidades metadata Rodrigues Dantas de Brito, Junea Graciele and Alves Guimarães, Ueudison mail UNSPECIFIED (2022) Educação em contexto: experiências e práticas. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218, 3 (4). e341396. ISSN 2675-6218

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Español Introducción: Las caídas se consideran como uno de los síndromes geriátricos más importantes por su alta incidencia en los adultos mayores de 65 años. Las caídas pueden generar diversas e importantes consecuencias físicas y/o psicológicas, deterioro funcional, dependencia e incluso la muerte. Objetivo: Determinar la efectividad del entrenamiento propioceptivo para prevenir el riesgo de caídas en el adulto mayor de 65 años residente en un hogar de reposo en el km 1 vía a Dapa, Valle del Cauca. Metodología: Se realizó una investigación cuasiexperimental de corte transversal, con muestra no probabilística constituida por 12 mujeres y 3 hombres adultos mayores de 65 años residentes en un hogar de reposo, participando de manera voluntaria en un entrenamiento propioceptivo de 6 semanas, dos veces a la semana durante los meses de marzo y abril de 2021. La factibilidad de la propuesta de ejercicios propioceptivos se validó a partir de la técnica de investigación grupo nominal. Los resultados incluyeron las pruebas Short Physical Performance Battery (SPPB) y Timed up and go (TUG) evaluadas pre y post intervención. Resultados: Hubo diferencias significativas en el nivel de funcionalidad pre- post intervención, (p<0,05), las dos variables (nivel de riesgo de caída y nivel de funcionalidad) se correlacionan en sentido inverso (p<0,05). Conclusiones: El entrenamiento propioceptivo es efectivo para mejorar el equilibrio estático/dinámico, la velocidad de la marcha y fuerza de extremidades inferiores en los adultos mayores de 65 años que residen en un hogar de reposo. metadata Vélez Alape, Natalia and Hernández Cruz, Leonardo de Jesús and Velarde-Sotres, Álvaro mail UNSPECIFIED, leonardo.hernandez@unib.org, alvaro.velarde@uneatlantico.es (2022) Efecto de un entrenamiento propioceptivo para prevenir el riesgo de caída en adultos mayores. MLS Sport Research, 2 (2).

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Español La resistencia a la insulina es una complicación presente en sujetos con obesidad y se ha identificado como un factor clave en la aparición y progresión de la diabetes mellitus. Numerosos estudios resaltan los beneficios de una dieta con alto contenido de proteínas tanto para el tratamiento de la obesidad como para la resistencia a la insulina. No obstante, a pesar de dichos beneficios, una dieta hiperproteica se ha relacionado con una peor disfunción metabólica, e incluso empeorando la resistencia a la insulina. Gracias a estudios en metabolómica se ha postulado que los aminoácidos de cadena ramificada pueden estar mediando estos efectos contradictorios de una alta ingesta de proteínas y su relación con la resistencia a la insulina. En la presente revisión narrativa se recopila la evidencia emergente en cuanto al efecto paradójico que pueden desempeñar los aminoácidos de cadena ramificada en la homeostasis del organismo. Diferentes contextos como la presencia de obesidad, patrones dietéticos, origen de proteínas que contengan aminoácidos de cadena ramificada, ejercicio físico, microbiota intestinal, sexo, así como la carga genética, son variables a tener en cuenta para evaluar el rol de estos aminoácidos. metadata Pérez Lagos, Fernando Josué mail fernando.perez@alumnos.uneatlantico.es (2022) Efecto dual de los aminoácidos de cadena ramificada y su relación con la resistencia a la insulina. MLS Health & Nutrition Research, 1 (1).

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Tree nuts, including Brazil nuts, have been hypothesized to impact cardiovascular health through the modulation of oxidative stress and inflammation. Nonetheless, a quantitative analysis of these effects has not been performed. Therefore, the aim of this study was to systematically revise and quantify the effect of Brazil nut intervention on selenium status, blood lipids, and biomarkers of oxidative stress and inflammation using a meta-analytical approach. To meet the goals of this study, a systematic search of PubMed, EMBASE, and Web of Science databases of published randomised clinical trials reporting on dietary interventions with Brazil nuts and their effects on selenium status, blood lipids, and markers of oxidative stress and inflammation was performed. Eight articles were included for systematic review and meta-analysis. Based on the conducted analysis, a significant positive effect of Brazil nuts on selenium blood concentration (SMD = 6.93, 95% CI: 3.99; 9.87) was found. Additionally, a positive effect of Brazil nut intervention on glutathione peroxidase activity (SMD = 0.53, 95% CI: 0.07; 0.99) was observed. However, no significant results were found when considering blood lipid levels, including results for total cholesterol (SMD = −0.22, 95% CI: −0.57; 0.14), HDL cholesterol (SMD = −0.04, 95% CI: −0.28; 0.19) and LDL cholesterol (SMD = −0.15; 95% CI: −0.43; 0.13). In conclusion, the findings from this study suggest that Brazil nut consumption improves selenium status and exerts antioxidant effects, which could be considered a potential pathway for the prevention of metabolic disorders related to altered blood lipid profiles. However, further studies are needed to elucidate the effect of Brazil nuts toward blood lipid profile, also preferably controlling for other biomarkers. metadata Godos, Justyna and Giampieri, Francesca and Micek, Agnieszka and Battino, Maurizio and Forbes-Hernández, Tamara Y. and Quiles, José L. and Paladino, Nadia and Falzone, Luca and Grosso, Giuseppe mail UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED, maurizio.battino@uneatlantico.es, UNSPECIFIED, jose.quiles@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) Effect of Brazil Nuts on Selenium Status, Blood Lipids, and Biomarkers of Oxidative Stress and Inflammation: A Systematic Review and Meta-Analysis of Randomized Clinical Trials. Antioxidants, 11 (2). p. 403. ISSN 2076-3921

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés The aim of this review was to explore existing evidence from studies conducted on humans and summarize the mechanisms of action of dietary polyphenols on vascular health, blood pressure and hypertension. There is evidence that some polyphenol-rich foods, including berry fruits rich in anthocyanins, cocoa and green tea rich in flavan-3-ols, almonds and pistachios rich in hydroxycinnamic acids, and soy products rich in isoflavones, are able to improve blood pressure levels. A variety of mechanisms can elucidate the observed effects. Some limitations of the evidence, including variability of polyphenol content in plant-derived foods and human absorption, difficulty disentangling the effects of polyphenols from other dietary compounds, and discrepancy of doses between animal and human studies should be taken into account. While no single food counteracts hypertension, adopting a plant-based dietary pattern including a variety of polyphenol-rich foods is an advisable practice to improve blood pressure metadata Grosso, Giuseppe and Godos, Justyna and Currenti, Walter and Micek, Agnieszka and Falzone, Luca and Libra, Massimo and Giampieri, Francesca and Forbes-Hernández, Tamara Y. and Quiles, José L. and Battino, Maurizio and La Vignera, Sandro and Galvano, Fabio mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED, jose.quiles@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) The Effect of Dietary Polyphenols on Vascular Health and Hypertension: Current Evidence and Mechanisms of Action. Nutrients, 14 (3). p. 545. ISSN 2072-6643

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Cerrado Inglés This study aimed to examine the effect of the ovulatory menstrual cycle (MC) when estimating the 1 repetition maximum (1RM) from the individual load-velocity relationship during the bench press (BP) exercise. Nine resistance-trained eumenorrheic women (age: 28.7 ± 3.6 years) were tested in 3 different phases across the MC: menstrual or early follicular phase (i.e., testing between days 1–3), follicular or late follicular phase (i.e., testing between days 7–10), and luteal or mid-luteal phase (i.e., testing between days 19–21). Each testing trial consisted of an incremental loading protocol against 4 loading conditions (≈50-70-80-90% 1RM) in the concentric-only BP exercise. A smartphone application (MyLift) was used to collect the mean velocity (MV) of all repetitions. The 1RM was estimated from the individual load-velocity relationship by applying a linear regression model as the load associated with an MV of 0.17 m·s−1. In addition, the MV obtained at each %1RM (i.e., from 20% 1RM to 80% 1RM in 20% increments), the load-velocity slope (i.e., the decrease in MV per each 1% of increment in the %1RM), and the y-intercept (i.e., the estimate of MV at 0% 1RM) were computed from the individual load-velocity relationships. No significant differences were observed between the 3 phases of the MC for any of the measured load-velocity relationship parameters (corrected p-value ≥0.495; effect size ≤0.24). The results suggest that the estimation of the BP 1RM from the load-velocity relationship seems not to vary over the 3 different phases of the MC (i.e., menstrual, follicular, and luteal phases). metadata García-Pinillos, Felipe and Lago-Fuentes, Carlos and Bujalance-Moreno, Pascual and Pérez-Castilla, Alejandro mail UNSPECIFIED, carlos.lago@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Effect of the Menstrual Cycle When Estimating 1 Repetition Maximum From the Load-Velocity Relationship During the Bench Press Exercise. Journal of Strength and Conditioning Research, Publis. ISSN 1064-8011

Article Subjects > Biomedicine
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The diagnosis of early-stage lung cancer is challenging due to its asymptomatic nature, especially given the repeated radiation exposure and high cost of computed tomography(CT). Examining the lung CT images to detect pulmonary nodules, especially the cell lung cancer lesions, is also tedious and prone to errors even by a specialist. This study proposes a cancer diagnostic model based on a deep learning-enabled support vector machine (SVM). The proposed computer-aided design (CAD) model identifies the physiological and pathological changes in the soft tissues of the cross-section in lung cancer lesions. The model is first trained to recognize lung cancer by measuring and comparing the selected profile values in CT images obtained from patients and control patients at their diagnosis. Then, the model is tested and validated using the CT scans of both patients and control patients that are not shown in the training phase. The study investigates 888 annotated CT scans from the publicly available LIDC/IDRI database. The proposed deep learning-assisted SVM-based model yields 94% accuracy for pulmonary nodule detection representing early-stage lung cancer. It is found superior to other existing methods including complex deep learning, simple machine learning, and the hybrid techniques used on lung CT images for nodule detection. Experimental results demonstrate that the proposed approach can greatly assist radiologists in detecting early lung cancer and facilitating the timely management of patients. metadata Shafi, Imran and Din, Sadia and Khan, Asim and Díez, Isabel De La Torre and Pali-Casanova, Ramón and Tutusaus, Kilian and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ramon.pali@unini.edu.mx, kilian.tutusaus@uneatlantico.es, UNSPECIFIED (2022) An Effective Method for Lung Cancer Diagnosis from CT Scan Using Deep Learning-Based Support Vector Network. Cancers, 14 (21). p. 5457. ISSN 2072-6694

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés In order to improve the recovery process in combat sports disciplines, ergo-nutritional strategies could be an effective option in training and competition. Some of these ergo-nutritional aids could improve performance but literature references are scarce, with controversial results regarding actual recovery effects. This systematic review aimed to examine which ergo-nutritional methods are most effective for assisting in the recovery process in combat sports, and to determine the appropriate training stimuli. This systematic review was carried out following the Preferred Reporting Items for Systematic Review (PRISMA) guidelines. A computerized search was performed in PubMed, Web of Science, the Cochrane Collaboration Database, Evidence Database, Evidence Based Medicine Search review, National Guidelines, EM-BASE, Scopus and Google Scholar system (from 1995 to April 30, 2021). The PICOS model was used to define inclusion and exclusion criteria. Out of 123 studies initially found, 18 met the eligibility criteria and were included in the review. Data from 367 athletes from different disciplines were examined. The evidence was grouped in 4 areas: oxidative stress, muscle and energy recovery, muscle repair, and metabolic acidosis. Evidence showed that vitamins, minerals, and some natural ergo-nutritional products are effective as antioxidants. Carbohydrates and protein determine the recovery effect. Sodium bicarbonate has a role as primary acidosis metabolic delayer. Accordingly, ergo-nutritional aids can help in the recovery process. Considering the effects outlined in the literature, more studies are needed to provide firm evidence. metadata López Laval, Isaac and Marqués Giménez, Diego and Velarde-Sotres, Álvaro and Sitko, Sebastian and Calleja Gonzalez, Julio mail UNSPECIFIED, UNSPECIFIED, alvaro.velarde@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Effects of ergo-nutritional strategies on recovery in combat sports disciplines. Nutrición Hospitalaria. ISSN 0212-1611

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books Abierto Inglés, Español El objetivo general fue determinar la eficacia de la implementación de un Sistema de Información para el Seguimiento de Indicadores de Gestión en el incremento de sentencias o autos finales de los juzgados civiles de la Corte Superior de Justicia de Tacna – 2019. El tipo de investigación según su función es cuantitativo, desde un diseño preexperimental con subcategoría cuasiexperimental y un corte de investigación longitudinal. Se tomaron la totalidad de expedientes judiciales en los juzgados civiles durante el período 2018 y 2019 para poder llevar a cabo la evaluación de la eficacia del Sistema de Información. Para la construcción de la propuesta de solución se utilizó una metodología simplificada del proceso de extracción, transformación y carga de datos y para la elaboración del Sistema de Información se aplicó la metodología del Proceso Unificado Ágil. La conclusión principal fue que la implementación de un Sistema de Información para el Seguimiento de Indicadores de Gestión como una medida de e-Gobierno, sirvió para resolver la necesidad de incremento en la emisión de Sentencias y Autos Finales, teniendo al final de la experimentación una reducción de 3% en el tiempo de calificación de los expedientes, y a pesar de que se incrementó el tiempo en trámite de los expedientes judiciales en un 4%, se demostró que la cantidad de sentencias y autos finales tuvieron un incremento de 165 en los Juzgados Civiles de la Corte Superior de Justicia de Tacna para el período 2019 en comparación con el período 2018. metadata Domingo Soriano, Saúl and Arambarri, Jon and Flor Rodríguez, Alberto Johnatan mail saul_domingo@funiber.org, jon.arambarri@uneatlantico.es, UNSPECIFIED (2022) Egobierno: sistema de información para el seguimiento de indicadores y su incidencia en la producción judicial - caso Perú. Project Design and Management, 4 (1). pp. 20-35. ISSN 2683-1597

Book Section Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books Abierto Español El objetivo principal del estudio de diagnóstico es comprobar la intención emprendedora que existe entre el alumnado universitario femenino de una universidad española metadata Alexeeva-Alexeev, Inna mail inna.alexeeva@uneatlantico.es (2022) El diagnóstico del comportamiento emprendedor en la población universitaria femenina y la solución práctica mediante la Incubadora Universitaria. In: Algoritmos, teletrabajo y otros grandes temas del feminismo digital. Dykinson, pp. 1094-1122. ISBN 978-84-1122-494-9

Article Subjects > Social Sciences
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Portugués A física relaciona-se com as necessidades humanas básicas, saúde, moradia, alimentação, transporte e muito mais. No entanto, a física tem demonstrado ter uma das maiores taxas de reprovação nas escolas há algum tempo. Muitos alunos veem isso como: muito difícil, abstrato e irrelevante para a vida cotidiana. No entanto, alguns pesquisadores atribuem essa percepção aos métodos tradicionais de ensino utilizados nas escolas, que dão mais ênfase à memorização de fórmulas, fatos, teorias, símbolos e modelos ao invés de proporcionar aos alunos a contextualização do conteúdo ao invés de se preocupar em explorar o contexto em que leis e teorias são apresentados, resultando na dogmatização do conhecimento científico. Portanto, o objetivo deste estudo foi compreender o processo de desenvolvimento desde o início da eletricidade até sua aplicação prática em escala comercial. Para tanto, foram realizadas revisões bibliográficas de literaturas científicas. O processo da geração à distribuição de energia elétrica, enfatizando o contexto histórico e social, promove o debate, a investigação e vincula o conhecimento físico à vida cotidiana, promovendo a compreensão do que se estuda metadata Alves Guimarães, Ueudison and Rodrigues Dantas de Brito, Junea Graciele and Olímpio dos Santos, José mail UNSPECIFIED (2022) Eletricidade estática: o processo da geração à distribuição de energia elétrica, enfatizando o contexto histórico e social. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218, 3 (9). e391942. ISSN 2675-6218

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Facial emotion recognition (FER) is an important and developing topic of research in the field of pattern recognition. The effective application of facial emotion analysis is gaining popularity in surveillance footage, expression analysis, activity recognition, home automation, computer games, stress treatment, patient observation, depression, psychoanalysis, and robotics. Robot interfaces, emotion-aware smart agent systems, and efficient human–computer interaction all benefit greatly from facial expression recognition. This has garnered attention as a key prospect in recent years. However, due to shortcomings in the presence of occlusions, fluctuations in lighting, and changes in physical appearance, research on emotion recognition has to be improved. This paper proposes a new architecture design of a convolutional neural network (CNN) for the FER system and contains five convolution layers, one fully connected layer with rectified linear unit activation function, and a SoftMax layer. Additionally, the feature map enhancement is applied to accomplish a higher detection rate and higher precision. Lastly, an application is developed that mitigates the effects of the aforementioned problems and can identify the basic expressions of human emotions, such as joy, grief, surprise, fear, contempt, anger, etc. Results indicate that the proposed CNN achieves 92.66% accuracy with mixed datasets, while the accuracy for the cross dataset is 94.94%. metadata Qazi, Awais Salman and Farooq, Muhammad Shoaib and Rustam, Furqan and Gracia Villar, Mónica and Rodríguez Velasco, Carmen Lilí and Ashraf, Imran mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, monica.gracia@uneatlantico.es, carmen.rodriguez@uneatlantico.es, UNSPECIFIED (2022) Emotion Detection Using Facial Expression Involving Occlusions and Tilt. Applied Sciences, 12 (22). p. 11797. ISSN 2076-3417

Article Subjects > Psychology Europe University of Atlantic > Research > Articles and books Cerrado Inglés The aim of this study was to examine the potential moderating effect of baseline emotion regulation skills—cognitive reappraisal and expressive suppression—on the relationship between treatment allocation and treatment outcomes in primary care patients with emotional symptoms. A total of 631 participants completed scales to evaluate emotion regulation, anxiety, depression, functioning, and quality of life (QoL). The moderation analysis was carried out using the SPSS PROCESS macro, version 3.5. Expressive suppression was a significant moderator in the relationship between treatment allocation and treatment outcomes in terms of symptoms of anxiety (b= -0.530, p=.026), depression (b= -0.812, p= .004) and QoL (b= 0.156, p= .048). Cognitive reappraisal only acted as a moderator in terms of QoL (b= 0.217, p= .028). The findings of this study show that participants with higher scores of expressive suppression benefitted more from the addition of TD-CBT to TAU in terms of anxiety and depressive symptoms and QoL. Individuals with higher levels of cognitive reappraisal obtained a greater benefit in terms of QoL from the addition of psychological treatment to TAU. These results underscore the relevant role that emotion regulation skills play in the outcomes of psychological therapy for emotional symptoms. metadata Barrio-Martínez, Sara and González-Blanch, César and Priede, Amador and Muñoz-Navarro, Roger and Adrián Medrano, Leonardo and Antonio Moriana, Juan and Carpallo-González, María and Ventura, Ludovica and Ruíz-Rodríguez, Paloma and Cano-Vindel, Antonio mail UNSPECIFIED, cesar.gonzalezblanch@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) Emotion Regulation as a Moderator of Outcomes of Transdiagnostic Group Cognitive-Behavioural Therapy for Emotional Disorders. Behavior Therapy. ISSN 00057894

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés The demand for digitization has inspired organizations to move towards cloud computing, which has increased the challenge for cloud service providers to provide quality service. One of the challenges is energy consumption, which can shoot up the cost of using computing resources and has raised the carbon footprint in the atmosphere; therefore, it is an issue that it is imperative to address. Virtualization, bin-packing, and live VM migration techniques are the key resolvers that have been found to be efficacious in presenting sound solutions. Thus, in this paper, a new live VM migration algorithm, live migration with efficient ballooning (LMEB), is proposed; LMEB focuses on decreasing the size of the data that need to be shifted from the source to the destination server so that the total energy consumption of migration can be reduced. A simulation was performed with a specific configuration of virtual machines and servers, and the results proved that the proposed algorithm could trim down energy usage by 18%, migration time by 20%, and downtime by 20% in comparison with the existing approach of live migration with ballooning (LMB) metadata Gupta, Neha and Gupta, Kamali and Qahtani, Abdulrahman M. and Gupta, Deepali and Alharithi, Fahd S. and Singh, Aman and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED (2022) Energy-Aware Live VM Migration Using Ballooning in Cloud Data Center. Electronics, 11 (23). p. 3932. ISSN 2079-9292

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Rivers are dynamic geological agents on the earth which transport the weathered materials of the continent to the sea. Estimation of suspended sediment yield (SSY) is essential for management, planning, and designing in any river basin system. Estimation of SSY is critical due to its complex nonlinear processes, which are not captured by conventional regression methods. Rainfall, temperature, water discharge, SSY, rock type, relief, and catchment area data of 11 gauging stations were utilized to develop robust artificial intelligence (AI), similar to an artificial-neural-network (ANN)-based model for SSY prediction. The developed highly generalized global single ANN model using a large amount of data was applied at individual gauging stations for SSY prediction in the Mahanadi River basin, which is one of India’s largest peninsular rivers. It appeared that the proposed ANN model had the lowest root-mean-squared error (0.0089) and mean absolute error (0.0029) along with the highest coefficient of correlation (0.867) values among all comparative models (sediment rating curve and multiple linear regression). The ANN provided the best accuracy at Tikarapara among all stations. The ANN model was the most suitable substitute over other comparative models for SSY prediction. It was also noticed that the developed ANN model using the combined data of eleven stations performed better at Tikarapara than the other ANN which was developed using data from Tikarapara only. These approaches are suggested for SSY prediction in river basin systems due to their ease of implementation and better performance. metadata Yadav, Arvind and Chithaluru, Premkumar and Singh, Aman and Joshi, Devendra and Elkamchouchi, Dalia H. and Mazas Pérez-Oleaga, Cristina and Anand, Divya mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, cristina.mazas@uneatlantico.es, divya.anand@uneatlantico.es (2022) An Enhanced Feed-Forward Back Propagation Levenberg–Marquardt Algorithm for Suspended Sediment Yield Modeling. Water, 14 (22). p. 3714. ISSN 2073-4441

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Español La tendinopatía aquílea (TA) es una de las lesiones más comunes entre los atletas, produciendo dolor y deterioro de las capacidades del tendón, así como inflamación del cuerpo tendinoso. Esta presenta una incidencia acumulada muy alta, sobre todo en atletas de élite, y tiene como principal mecanismo lesional el exceso de carga sobre el tendón acompañado de un escaso periodo de recuperación entre cargas. Los factores de riesgo que más influencia tienen en esta patología son los externos, teniendo también relevancia los factores internos. Así, el principal objetivo de esta revisión fue establecer las estrategias óptimas para la recuperación de una tendinopatía aquílea desde el ámbito de la actividad física y el deporte. En este trabajo, se revisaron artículos extraídos de la base de datos PubMed, seleccionando todos aquellos artículos redactados en inglés, llevados a cabo sobre sujetos lesionados con TA y que se encontrasen en periodo de readaptación. Se excluyeron todos los artículos previos a 2010. Todas las intervenciones realizadas en los diferentes estudios señalaron el ejercicio físico como una herramienta muy positiva en el tratamiento de la TA, siendo las mejoras más significativas la reducción del dolor del tendón, la mejora en las capacidades funcionales y un aumento del nivel de satisfacción post intervención. A la vista de los resultados, todas las estrategias analizadas han probado ser beneficiosas para la recuperación de una TA, reduciendo la sintomatología, el dolor y la disfunción en una persona lesionada. Sin embargo, la resistencia lenta pesada (HSR) pareció ser aquella que mejores resultados proporcionó sobre la población de estudio, por encima del entrenamiento excéntrico e isométrico metadata Quintana Ruiz, David and Bores Arce, Ainhoa and Crespo-Posadas, Manuel mail UNSPECIFIED, ainhoa.bores@uneatlantico.es, manuel.crespo@uneatlantico.es (2022) Estrategias para la mejora de la sintomatología en tendinopatía aquílea en atletas. MLS Sport Research, 2 (2).

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books Abierto Inglés Genotype, environment, and cultivation system strongly influence strawberry yield and quality. Specifically, the growth of strawberry plants is dependent on the water supply. Nevertheless, the abuse of water in agriculture is necessitating the choice of the lowest water-consumptive plants. The following study showed the performance of ‘Romina’, ‘Sibilla’, and ‘Cristina’ cultivars, grown in open-field conditions, and treated with three doses of water (W): 100% local standard regime, and 20% (W80) and 40% (W60) reductions. The average amount of water administered for W100, W80, and W60 was 1120 m3 ha−1, 891 m3 ha−1, and 666 m3 ha−1, respectively. The water treatment at W60 negatively affected the plant growth and yield, resulting in reduced plant height, leaf number, leaf length and width, and a minor yield. Instead, fruit quality showed higher values of total soluble solids and titratable acidity. Conversely, plants watered with W80 showed results similar to the control (W100) in terms of development and yield. In conclusion, it is possible to assume that a reduction of water is desirable, guaranteeing economic and environmental gains for farmers. metadata Marcellini, Micol and Mazzoni, Luca and Raffaelli, Davide and Pergolotti, Valeria and Balducci, Francesca and Capocasa, Franco and Mezzetti, Bruno mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, bruno.mezzetti@uneatlantico.es (2022) Evaluation of Single-Cropping under Reduced Water Supply in Strawberry Cultivation. Agronomy, 12 (6). p. 1396. ISSN 2073-4395

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés The purpose of this article is to help to bridge the gap between sustainability and its application to project management by developing a methodology based on artificial intelligence to diagnose, classify, and forecast the level of sustainability of a sample of 186 projects aimed at local communities in Latin American and Caribbean countries. First, the compliance evaluation with the Sustainable Development Goals (SDGs) within the framework of the 2030 Agenda served to diagnose and determine, through fuzzy sets, a global sustainability index for the sample, resulting in a value of 0.638, in accordance with the overall average for the region. Probabilistic predictions were then made on the sustainability of the projects using a series of supervised learning classifiers (SVM, Random Forest, AdaBoost, KNN, etc.), with the SMOTE resampling technique, which provided a significant improvement toward the results of the different metrics of the base models. In this context, the Support Vector Machine (SVM) + SMOTE was the best classification algorithm, with accuracy of 0.92. Lastly, the extrapolation of this methodology is to be expected toward other realities and local circumstances, contributing to the fulfillment of the SDGs and the development of individual and collective capacities through the management and direction of projects. metadata García Villena, Eduardo and Pascual Barrera, Alina Eugenia and Álvarez, Roberto Marcelo and Dzul López, Luis Alonso and Tutusaus, Kilian and Vidal Mazón, Juan Luis and Miró Vera, Yini Airet and Brie, Santiago and López Flores, Miguel A. mail eduardo.garcia@uneatlantico.es, alina.pascual@unini.edu.mx, roberto.alvarez@uneatlantico.es, luis.dzul@uneatlantico.es, kilian.tutusaus@uneatlantico.es, juanluis.vidal@uneatlantico.es, yini.miro@uneatlantico.es, santiago.brie@uneatlantico.es, miguelangel.lopez@uneatlantico.es (2022) Evaluation of the Sustainable Development Goals in the Diagnosis and Prediction of the Sustainability of Projects Aimed at Local Communities in Latin America and the Caribbean. Applied Sciences, 12 (21). p. 11188. ISSN 2076-3417

Conference or Workshop Item Subjects > Teaching Europe University of Atlantic > Research > Articles and books Abierto Español La educación financiera es una de las grandes necesidades de Europa. Las formaciones disponibles actualmente sobre financiamiento en el contexto del emprendimiento se caracterizan por ser demasiado cortas, muy teóricas y/o caras, y por lo general, los estudiantes de negocios son los únicos que tienen un adecuado acceso a la educación financiera empresarial. El e-learning abre posibilidades de superar estas barreras y democratizar el conocimiento financiero, especialmente, entre los estudiantes de educación superior como futuros emprendedores y evita que la educación práctica en esta materia cierre en nuevos períodos de pandemia. El objetivo de esta comunicación es la presentación del análisis de la experiencia de una herramienta de e-learning para la educación financiera de estudiantes universitarios como potenciales emprendedores, en la Universidad de Valladolid. Se trata de una formación piloto de financiamiento al emprendimiento, en la que participan 15 estudiantes de pregrado. Para ello se ha empleado el e-learning, como herramienta docente, específicamente el simulador digital de FINANCEn_LAB, que permite aprender haciendo: los estudiantes simulan emprendimientos financiados mediante Crowdfunding, Business Angels, Bootstrapping, Venture Capital, Pre-seed, Incubators, Initial Public Offering y EU Funds en la plataforma, con la tutoría de un profesor. Esto les permite experimentar cientos de experiencias de emprendimiento de manera práctica y con apoyo especializado desde cualquier lugar metadata Trujillo Rodríguez, Maydelis and Tejerina Gaite, Fernando Adolfo and Herrera Montano, Isabel and Alexeeva-Alexeev, Inna and Prola, Thomas and de la Torre Díez, Isabel mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, inna.alexeeva@uneatlantico.es, thomas.prola@uneatlantico.es, UNSPECIFIED (2022) Experiencia con una herramienta digital para la educación en finanzas de estudiantes de la Universidad de Valladolid dentro del marco del Proyecto Erasmus+ “FINANCEn-LAB”. In: Actas del Congreso Internacional Virtual USATIC 2022, Ubicuo y Social: Aprendizaje con TIC.

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Cerrado Inglés Recently, the Internet of Medical Things (IoMT) could offload healthcare services to 5 G edge computing for low latency. However, some existing works assumed altruistic patients will sacrifice Quality of Service (QoS) for the global optimum. For priority-aware and deadline-sensitive healthcare, this sufficient and simplified assumption will undermine the engagement enthusiasm, i.e., unfairness. To address this issue, we propose a long-term proportional fairness-driven 5 G edge healthcare, i.e., FairHealth. First, we establish a long-term Nash bargaining game to model the service offloading, considering the stochastic demand and dynamic environment. We then design a Lyapunov-based proportional-fairness resource scheduling algorithm, which decouples the long-term fairness problem into single-slot sub-problems, realizing a trade-off between service stability and fairness. Moreover, we propose a block-coordinate descent method to iteratively solve non-convex fair sub-problems. Simulation results show that our scheme can improve 74.44% of the fairness index (i.e., Nash product), compared with the classic global time-optimal scheme. metadata Lin, Xi and Wu, Jun and Bashir, Ali Kashif and Yang, Wu and Singh, Aman and AlZubi, Ahmad Ali mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED (2022) FairHealth: Long-Term Proportional Fairness-Driven 5G Edge Healthcare in Internet of Medical Things. IEEE Transactions on Industrial Informatics. pp. 1-10. ISSN 1551-3203

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Abierto Inglés The connective tissue or fascia plays key roles in maintaining bodily function and health. The fascia is made up of solid and fluid portions, which interpenetrate and interact with each other, forming a polymorphic three-dimensional network. In the vast panorama of literature there is no univocal thought on the nomenclature and terminology that best represents the concept of fascia. The Foundation of Osteopathic Research and Clinical Endorsement (FORCE) organization brings together various scientific figures in a multidisciplinary perspective. FORCE tries to find a common nomenclature that can be shared, starting from the scientific notions currently available. Knowledge of the fascial continuum should always be at the service of the clinician and never become an exclusive for the presence of copyright, or commodified for the gain of a few. FORCE is a non-profit organization serving all professionals who deal with patient health. The article reviews the concepts of fascia, including some science subjects rarely considered, to gain an understanding of the broader fascial topic, and proposing new concepts, such as the holographic fascia. metadata Bordoni, Bruno and Escher, Allan R and Tobbi, Filippo and Pianese, Luigi and Ciardo, Antonio and Yamahata, Jay and Hernandez, Saul and Sanchez, Oscar mail UNSPECIFIED (2022) Fascial Nomenclature: Update 2022. Cureus, 14 (6). ISSN 2168-8184

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés The rapid expansion of Internet of Things (IoT) devices deploys various sensors in different applications like homes, cities and offices. IoT applications depend upon the accuracy of sensor data. So, it is necessary to predict faults in the sensor and isolate their cause. A novel primitive technique named fall curve is presented in this paper which characterizes sensor faults. This technique identifies the faulty sensor and determines the correct working of the sensor. Different sources of sensor faults are explained in detail whereas various faults that occurred in sensor nodes available in IoT devices are also presented in tabular form. Fault prediction in digital and analog sensors along with methods of sensor fault prediction are described. There are several advantages and disadvantages of sensor fault prediction methods and the fall curve technique. So, some solutions are provided to overcome the limitations of the fall curve technique. In this paper, a bibliometric analysis is carried out to visually analyze 63 papers fetched from the Scopus database for the past five years. Its novelty is to predict a fault before its occurrence by looking at the fall curve. The sensing of current flow in devices is important to prevent a major loss. So, the fall curves of ACS712 current sensors configured on different devices are drawn for predicting faulty or non-faulty devices. The analysis result proved that if any of the current sensors gets faulty, then the fall curve will differ and the value will immediately drop to zero. Various evaluation metrics for fault prediction are also described in this paper. At last, this paper also addresses some possible open research issues which are important to deal with false IoT sensor data. metadata Uppal, Mudita and Gupta, Deepali and Anand, Divya and S. Alharithi, Fahd and Almotiri, Jasem and Ortega-Mansilla, Arturo and Singh, Dinesh and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, arturo.ortega@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Fault Pattern Diagnosis and Classification in Sensor Nodes Using Fall Curve. Computers, Materials & Continua, 72 (1). pp. 1799-1814. ISSN 1546-2226

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Abierto Inglés When you are part of a community, especially a scientific one, you are required to contribute significantly to its welfare, because the community as a whole represents each individual within it and, in turn, determines the wellbeing of the participants themselves. metadata Battino, Maurizio mail maurizio.battino@uneatlantico.es (2022) Feature Paper Special Issue for Editorial Board Members (EBMs) of Diseases. Diseases, 10 (2). p. 18. ISSN 2079-9721

Article Subjects > Engineering
Subjects > Psychology
Europe University of Atlantic > Research > Articles and books Abierto Inglés Background and Hypothesis The existing developmental bond between fingerprint generation and growth of the central nervous system points to a potential use of fingerprints as risk markers in schizophrenia. However, the high complexity of fingerprints geometrical patterns may require flexible algorithms capable of characterizing such complexity. Study Design Based on an initial sample of scanned fingerprints from 612 patients with a diagnosis of non-affective psychosis and 844 healthy subjects, we have built deep learning classification algorithms based on convolutional neural networks. Previously, the general architecture of the network was chosen from exploratory fittings carried out with an independent fingerprint dataset from the National Institute of Standards and Technology. The network architecture was then applied for building classification algorithms (patients vs controls) based on single fingers and multi-input models. Unbiased estimates of classification accuracy were obtained by applying a 5-fold cross-validation scheme. Study Results The highest level of accuracy from networks based on single fingers was achieved by the right thumb network (weighted validation accuracy = 68%), while the highest accuracy from the multi-input models was attained by the model that simultaneously used images from the left thumb, index and middle fingers (weighted validation accuracy = 70%). Conclusion Although fitted models were based on data from patients with a well established diagnosis, since fingerprints remain lifelong stable after birth, our results imply that fingerprints may be applied as early predictors of psychosis. Specially, if they are used in high prevalence subpopulations such as those of individuals at high risk for psychosis. metadata Salvador, Raymond and García-León, María Ángeles and Feria-Raposo, Isabel and Botillo-Martín, Carlota and Martín-Lorenzo, Carlos and Corte-Souto, Carmen and Aguilar-Valero, Tania and Gil Sanz, David and Porta-Pelayo, David and Martín-Carrasco, Manuel and del Olmo-Romero, Francisco and Maria Santiago-Bautista, Jose and Herrero-Muñecas, Pilar and Castillo-Oramas, Eglee and Larrubia-Romero, Jesús and Rios-Alvarado, Zoila and Antonio Larraz-Romeo, José and Guardiola-Ripoll, Maria and Almodóvar-Payá, Carmen and Fatjó-Vilas Mestre, Mar and Sarró, Salvador and McKenna, Peter J and González-Pablos, Emilio and Negro-González, Emilio and María Castells Bescos, Eva and Felipe Martínez, Elena and Muñoz Hermoso, Paula and Camaño Serna, Cora and Rebolleda Gil, Carlos and Feliz Muñoz, Carmen and Sevillano De La Fuente, Paula and Sánchez Perez, Manuel and Arrece Iriondo, Izascun and Vicente Jauregui Berecibar, José and Domínguez Panchón, Ana and Felices de la Fuente, Alfredo and Bosque Gabarre, Clara and Pomarol-Clotet, Edith mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, david.gil@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) Fingerprints as Predictors of Schizophrenia: A Deep Learning Study. Schizophrenia Bulletin. ISSN 0586-7614

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés E-Vehicles are used for transportation and, with a vehicle-to-grid optimization approach, they may be used for supplying a backup source of energy for renewable energy sources. Renewable energy sources are integrated to maintain the demand of consumers, mitigate the active and reactive power losses, and maintain the voltage profile. Renewable energy sources are not supplied all day and, to meet the peak demand, extra electricity may be supplied through e-Vehicles. E-Vehicles with random integration may cause system unbalancing problems and need a solution. The objective of this paper is to integrate e-Vehicles with the grid as a backup source of energy through the grid-to-vehicle optimization approach by reducing active and reactive power losses and maintaining voltage profile. In this paper, three case studies are discussed: (i) integration of renewable energy sources alone; (ii) integration of e-Vehicles alone; (iii) integration of renewable energy sources and e-Vehicles in hybrid mode. The simulation results show the effectiveness of the integration and the active and reactive power losses are minimum when we used the third case. metadata Agrawal, Himanshi and Talwariya, Akash and Gill, Amandeep and Singh, Aman and Alyami, Hashem and Alosaimi, Wael and Ortega-Mansilla, Arturo mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, arturo.ortega@uneatlantico.es (2022) A Fuzzy-Genetic-Based Integration of Renewable Energy Sources and E-Vehicles. Energies, 15 (9). p. 3300. ISSN 1996-1073

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Inglés Antimicrobial-resistant pathogenic bacteria are an increasing problem in public health, especially in the healthcare environment, where nosocomial infection microorganisms find their niche. Among these bacteria, the genus Acinetobacter which belongs to the ESKAPE pathogenic group harbors different multi-drug resistant (MDR) species that cause human nosocomial infections. Although A. baumannii has always attracted more interest, the close-related species A. pittii is the object of more study due to the increase in its isolation and MDR strains. In this work, we present the genomic analysis of five clinically isolated A. pittii strains from a Spanish hospital, with special attention to their genetic resistance determinants and plasmid structures. All the strains harbored different genes related to β-lactam resistance, as well as different MDR efflux pumps. We also found and described, for the first time in this species, point mutations that seem linked with colistin resistance, which highlights the relevance of this comparative analysis among the pathogenic species isolates. metadata Chapartegui-González, Itziar and Lázaro-Díez, María and Ramos Vivas, Jose mail UNSPECIFIED, UNSPECIFIED, jose.ramos@uneatlantico.es (2022) Genetic Resistance Determinants in Clinical Acinetobacter pittii Genomes. Antibiotics, 11 (5). p. 676. ISSN 2079-6382

Article Subjects > Teaching Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Portugués Este artigo apresenta as relações estabelecidas entre os profissionais de educação e o gestor no século XXI, além de promover reflexões com finalidade de reavaliar sua prática numa perspectiva democrática para uma melhor educação. A pesquisa trata-se de revisão bibliográfica com caráter exploratório e metodologia qualitativa. Ao investigar as competências e funções desenvolvidas pelo gestor, foram destacados os preceitos pedagógicos que a instituição deve seguir, que são: analisar, avaliar e acompanhar os planos do ensino; sugerir recursos e livros; acompanhar as metodologias dos professores, analisando aspectos que possam vir a atrapalhar as atividades da escola; além de organizar reuniões de professores para concedê-los assistência metodológica e pedagógica; e estimular e sugerir atividades que possam tornar a experiência da educação eficiente para todos. Este trabalho visa demonstrar que a escola é o ambiente onde acontecem a aprendizagem e o desenvolvimento humano. Por isso, uma das funções do Gestor escolar é gerar novas formas de participação e incentivar o trabalho em grupo com membros da comunidade escolar, permeando assim, um ambiente que preze por um modelo de excelência e instigue uma convivência mútua entre todos os inseridos no processo. metadata Alves Guimarães, Ueudison and Moraes da Cruz Gomez, Eliane and Rodrigues Moniz, Sibele Selvina de Oliveira mail UNSPECIFIED (2022) Gestão da diversidade no campo educacional: o papel da gestão escolar nesse processo. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218, 3 (8). e381808. ISSN 2675-6218

Article Subjects > Teaching Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Portugués O presente Artigo tem por objectivo compreender como a gestão escolar Democrática desenvolve e exerce as suas funções, visando identificar conceitos e reconhecer habilidades, perspectivando o futuro e os grandes desafios das escolas no que tange a gestão democrática, como elementos necessários para gerir. O problema de pesquisa é: como a gestão escolar democrática e participativa desenvolve e exerce as suas funções no ambiente escolar no Município da Caála? O tema da pesquisa A Gestão escolar Democrática e Participativa: Um olhar para as habilidades, perspectivas e desafios dos directores escolares do Município da Caála, surgiu a partir de reflexões realizadas nas aulas da Disciplina de Organização e Gestão Escolar no Curso de Licenciatura em Psicologia do Instituto Superior Politécnico Caála – Polo Universitário do Bailundo. Para a elaboração do presente artigo, utilizou-se a pesquisa quanti-qualitativa e exploratória, e as informações foram colectadas por meio de entrevistas e questionáris Adoc com quatro directores das escolas Públicas do Município da Caála – Província do Huambo, um Coordenador do Polo Universitário do ISPC, quinze estudantes do 4º Ano de Licenciatura em Ensino Primário e Psicologia, ambos profesores e directores de algumas escolas públicas. A importância da gestão democrática é por o Director ser o indivíduo quem deve incentivar e auxiliar a sua equipe, desempenhando o papel de um bom líder. Para que isso aconteça é importante que ele compreenda que o líder sabe dividir as suas responsabilidades e isso faz com que todos sintam-se parte da escola e trabalhem em prol de um processo de ensino e aprendizagem de qualidade. Palavras-Chave: Gestão escolar Democrática. Participativa. Liderança. Humildade metadata Graça da Costa, Mario and Enoque, Francisco Zacarias and da Costa Graça, Henriques mail mario.graca@doctorado.unini.edu.mx, UNSPECIFIED, UNSPECIFIED (2022) Gestão escolar democrática e participativa: um olhar para as habilidades, competências, perspectivas e desafios dos directores escolares do município da Caála. Revista Ibero-Americana de Humanidades, Ciências e Educação, 8 (1). pp. 66-95. ISSN 2675-3375

Article Subjects > Physical Education and Sport
Subjects > Teaching
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Abierto Portugués Hoje a sociedade passa por uma década que favorece a juventude ao sedentarismo e consequentemente ao desenvolvimento de diversas doenças como pressão alta, colesterol, diabetes, entre outras relacionadas não apenas a má alimentação como o mau hábito de vida e a não prática atividades físicas. A realização de atividades físicas na escola é tida como crucial para a qualidade de vida e inclusão das crianças. Pensando nisso, o presente trabalho tem como proposta a reflexão de alguns problemas enfrentados pelos professores com relação a prática de atividades físicas na disciplina de Educação Física e a promoção do desenvolvimento da saúde física e mental que ela proporcionaria. Portanto, este estudo se trata de uma pesquisa bibliográfica de cunho qualitativo e caráter descritivo com objetivo de apresentar a importância da Educação Física escolar na formação do indivíduo. Conclui-se pela necessidade e importância de a Educação Física estreitar as relações entre teoria e prática e inovar pedagogicamente, a fim de seguir contribuindo para a formação integral do alunado e para a apropriação crítica da cultura corporal de movimento. metadata Alves Guimarães, Ueudison and Olímpio dos Santos, José and Rodrigues Moniz, Sibele Selvina de Oliveira mail UNSPECIFIED (2022) História da Educação Física no ensino infantil. RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218, 3 (10). e3101943. ISSN 2675-6218

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Universidad Internacional do Cuanza > Research > Scientific Production
Cerrado Inglés The Information Centric Networking (ICN) is a future internet architecture to support efficient content distribution in a vehicular environment. In-network caching in ICN provides a realistic solution for vehicular communication due to storage of content replicas inside network vehicles. However, the challenge still exists while caching content replicas in resource constraint vehicles ( such as limited power and cache capacity) to minimize the communication latency. To address the above mentioned challenge, this paper proposes EPC - an ICN based Energy efficient Placement of Content chunk that fits well in a vehicular environment. The proposed resource management strategy mainly aims to reduce the content fetching delay by caching content replicas towards the network edge router. The EPC strategy decides on placement of content chunks on each vehicle by jointly considering residual power of current vehicle, local popularity of content, and caching gain. The EPC supports efficient utilization of network available resources by allowing only vehicles with their residual power greater than threshold to perform chunk caching and hence, further offers reduced content duplication in the whole network. The effectiveness of the proposed scheme is evaluated in Icarus- an ICN simulator for analyzing the performance of ICN caching and routing strategies. The EPC outperforms various state of the art caching strategies approximately by 30% when gets evaluated in terms of offered cache hit ratio, content retrieval delay, and the average number of hops utilized for fetching the requested content. metadata Gupta, Divya and Rani, Shalli and Singh, Aman and Rodrigues, Joel J. P. C. mail UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es, UNSPECIFIED (2022) ICN Based Efficient Content Caching Scheme for Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems. pp. 1-9. ISSN 1524-9050

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés This paper focuses on retrieving plant leaf images based on different features that can be useful in the plant industry. Various images and their features can be used to identify the type of leaf and its disease. For this purpose, a well-organized computer-assisted plant image retrieval approach is required that can use a hybrid combination of the color and shape attributes of leaf images for plant disease identification and botanical gardening in the agriculture sector. In this research work, an innovative framework is proposed for the retrieval of leaf images that uses a hybrid combination of color and shape features to improve retrieval accuracy. For the color features, the Color Difference Histograms (CDH) descriptor is used while shape features are determined using the Saliency Structure Histogram (SSH) descriptor. To extract the various properties of leaves, Hue and Saturation Value (HSV) color space features and First Order Statistical Features (FOSF) features are computed in CDH and SSH descriptors, respectively. After that, the HSV and FOSF features of leaf images are concatenated. The concatenated features of database images are compared with the query image in terms of the Euclidean distance and a threshold value of Euclidean distance is taken for retrieval of images. The best results are obtained at the threshold value of 80% of the maximum Euclidean distance. The system’s effectiveness is also evaluated with different performance metrics like precision, recall, and F-measure, and their values come out to be respectively 1.00, 0.96, and 0.97, which is better than individual feature descriptors. metadata Chugh, Himani and Gupta, Sheifali and Garg, Meenu and Gupta, Deepali and Mohamed, Heba G. and Delgado Noya, Irene and Singh, Aman and Goyal, Nitin mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, irene.delgado@uneatlantico.es, aman.singh@uneatlantico.es, UNSPECIFIED (2022) An Image Retrieval Framework Design Analysis Using Saliency Structure and Color Difference Histogram. Sustainability, 14 (16). p. 10357. ISSN 2071-1050

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés, Español Niveles circulantes elevados de aminoácidos de cadena ramificada (BCAA) han sido descritos como un fuerte factor predictor de la diabetes mellitus tipo 2 (DM2) por su implicación en la resistencia a la insulina (RI). El principal objetivo es evaluar si una dieta rica en estos aminoácidos supone un riesgo para el desarrollo de DM2. Material y métodos: Esta revisión bibliográfica se ha sustentado en artículos científicos seleccionados de diferentes bases de datos, entre las que destaca PubMed. Un total de 23 artículos fueron estudiados en profundidad. Resultados y discusión: Una mayor ingesta de BCAA ha presentado una asociación positiva en el desarrollo de la DM2, principalmente si esta proviene de alimentos de origen animal. Asimismo, su restricción selectiva produce cierta mejora en la fisiopatología de la DM2 sin verse comprometida la ingesta de otros nutrientes esenciales. Por el contrario, no se ha observado que los protocolos de suplementación con BCAA presenten repercusiones negativas para la salud. La ingesta de BCAA si parece estar asociada a un mayor riesgo de padecer DM2; pero esta asociación no puede estudiarse de forma aislada, sino que debe considerarse parte de una interacción compleja de componentes dietéticos, en la cual, la calidad nutricional de los alimentos adquiere un importante papel. metadata Tejido Ruiz-Ogarrio, Carlota mail UNSPECIFIED (2022) Impacto del consumo de aminoácidos de cadena ramificada (BCAA) en la Diabetes Mellitus Tipo 2. MLS Health & Nutrition Research, 1 (2).

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Food and agriculture are significant aspects that can meet the food demand estimated by the Food Agriculture Organization (FAO) by 2050. In addition to this, the United Nations sustainable development goals recommended implementing sustainable practices to meet food demand to achieve sustainability. Currently, aquaponics is one of the sustainable practices that require less land and water and has a low environmental impact. Aquaponics is a closed-loop and soil-less method of farming, where it requires intensive monitoring, control, and management. The advancement of wireless sensors and communication protocols empowered to implementation of an Internet of Things- (IoT-) based system for real-time monitoring, control, and management in aquaponics. This study presents a review of the wireless technology implementation and progress in aquaponics. Based on the review, the study discusses the significant water and environmental parameters of aquaponics. Followed by this, the study presents the implementation of remote, IoT, and ML-based monitoring of aquaponics. Finally, the review presents the recommendations such as edge and fog-based vision nodes, machine learning models for prediction, LoRa-based sensor nodes, and gateway-based architecture that are beneficial for the enhancement of wireless aquaponics and also for real-time prediction in the future. metadata Gayam, Kiran Kumari and Jain, Anuj and Gehlot, Anita and Singh, Rajesh and Akram, Shaik Vaseem and Singh, Aman and Anand, Divya and Delgado Noya, Irene and Ahmad, Shafiq mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@unic.co.ao, divya.anand@uneatlantico.es, irene.delgado@uneatlantico.es, UNSPECIFIED (2022) Imperative Role of Automation and Wireless Technologies in Aquaponics Farming. Wireless Communications and Mobile Computing, 2022. pp. 1-13. ISSN 1530-8669

Article Subjects > Social Sciences
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Financial management is a critical aspect of firms, and entails the strategic planning, direction, and control of financial endeavors. Risk assessment, fraud detection, wealth management, online transactions, customized bond scheme, customer retention, virtual assistant and so on, are a few of the critical areas where Industry 4.0 technologies intervention are highly required for managing firms' finance. It has been identified from the previous studies that they are limited studies that have addressed the significance and application of integrating of Industry 4.0 technologies such as Internet of Things (IoT), cloud computing, big data, robotic process automation (RPA), artificial intelligence (AI), Blockchain, Digital twin, and Metaverse. With the motivation from the above aspects, this study aims to discuss the role of these technologies in the area of financial management of a firm. Based up on the analysis, it has been concluded that these technologies assist to credit risk management based on real-time data; financial data analytics of risk assessment, digital finance, digital auditing, fraud detection, and AI- and IoT- based virtual assistants. This study recommended that digital technologies be deeply integrated into the financial sector to improve service quality and accessibility, as well as the creation of innovative rules that allow for healthy competition among market participants. metadata Bisht, Deepa and Singh, Rajesh and Gehlot, Anita and Akram, Shaik Vaseem and Singh, Aman and Caro Montero, Elisabeth and Priyadarshi, Neeraj and Twala, Bhekisipho mail UNSPECIFIED (2022) Imperative Role of Integrating Digitalization in the Firms Finance: A Technological Perspective. Electronics, 11 (19). p. 3252. ISSN 2079-9292

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books Abierto Inglés A wireless body area network (WBAN) is a technology that is widely employed in the medical sector. It is a low-cost network that allows for mobility and variation. It can be used for long-distance, semiautonomous remote monitoring without interfering with people’s regular schedules. Detection devices are embedded in the human body in a simple WBAN configuration to continuously screen physiological boundaries or critical pointers. Confidence among shareholders (for example, medical care suppliers, clients, and medical teachers) is recognized as an essential achievement factor for data stream reliability in such an organization. Given the inherent characteristics of remote locations, it is critical to exercise confidence and security when conducting remote comprehension testing. In the present scenario, WBAN has majorly contributed towards healthcare and its application in medical services. Solid correspondence systems are frequently used to address trust and security concerns on WBANs. In terms of purpose, we present in this study a communication approach built on trust to protect the WBAN’s integrity and confidentiality. For ensuring authenticity, an enhanced bilingual distribution-based trust-management system (PDATMS) approach is used, while a cryptographic system is used to maintain anonymity. A MATLAB simulator is used to evaluate the performance of the recommended program. The recommended approach, according to the release information, improves accuracy by 96%, service delivery rate by 99%, throughput by 99%, as well as confidence, while reducing average latency metadata Singh, Sunny and Chawla, Muskaan and Prasad, Devendra and Anand, Divya and Alharbi, Abdullah and Alosaimi, Wael mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, divya.anand@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) An Improved Binomial Distribution-Based Trust Management Algorithm for Remote Patient Monitoring in WBANs. Sustainability, 14 (4). p. 2141. ISSN 2071-1050

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Abierto Inglés In Smart Cities’ applications, Multi-node cooperative spectrum sensing (CSS) can boost spectrum sensing efficiency in cognitive wireless networks (CWN), although there is a non-linear interaction among number of nodes and sensing efficiency. Cooperative sensing by nodes with low computational cost is not favorable to improving sensing reliability and diminishes spectrum sensing energy efficiency, which poses obstacles to the regular operation of CWN. To enhance the evaluation and interpretation of nodes and resolves the difficulty of sensor selection in cognitive sensor networks for energy-efficient spectrum sensing. We examined reducing energy usage in smart cities while substantially boosting spectrum detecting accuracy. In optimizing energy effectiveness in spectrum sensing while minimizing complexity, we use the energy detection for spectrum sensing and describe the challenge of sensor selection. This article proposed the algorithm for choosing the sensing nodes while reducing the energy utilization and improving the sensing efficiency. All the information regarding nodes is saved in the fusion center (FC) through which blockchain encrypts the information of nodes ensuring that a node’s trust value conforms to its own without any ambiguity, CWN-FC pick high-performance nodes to engage in CSS. The performance evaluation and computation results shows the comparison between various algorithms with the proposed approach which achieves 10% sensing efficiency in finding the solution for identification and triggering possibilities with the value of α=1.5 and γ=2.5 with the varying number of nodes. metadata Rani, Shalli and Babbar, Himanshi and Shah, Syed Hassan Ahmed and Singh, Aman mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es (2022) Improvement of energy conservation using blockchain-enabled cognitive wireless networks for smart cities. Scientific Reports, 12 (1). ISSN 2045-2322

Article Subjects > Physical Education and Sport Europe University of Atlantic > Research > Articles and books Abierto Inglés, Español El fútbol es el deporte universalmente más popular y el más extendido, lo que implica, además, ser uno de los deportes de equipo con mayor IL. Las lesiones afectan de manera negativa al rendimiento del deportista y del equipo. El objetivo de este estudio fue conocer las lesiones producidas a lo largo de la temporada 2016/2017 de la primera y segunda división española en función del tipo de lesión, posición del jugador, minuto en que se produce la lesión y la edad del jugador. Se trata de un estudio descriptivo, en el cual la muestra fue conformada por los jugadores de los 42 equipos de la Liga Santander y la Liga 123 del fútbol español. Las lesiones más comunes han sido las lesiones musculares (>50%), aumentando en la Liga 123 hasta el 75% de la incidencia. Los deportistas que más lesiones sufrieron fueron los defensas (>40%) mientras que los porteros registraron el menor IL (<4%). Este hecho se puede deber a la menor distancia recorrida tanto a una intensidad normal como a la distancia recorrida a alta intensidad. Los deportistas comprendidos entre los 21 y los 29 años padecieron un mayor número de lesiones (>35%) y, además, ocurrieron en gran parte durante la segunda mitad del partido metadata Mecías-Calvo, Marcos and Magni Cruz, Alejandro and Gómez Cárdaba, Álvaro mail marcos.mecias@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Incidencia lesional en el fútbol. MLS Sport Research, 2 (1). ISSN 2792-7156

Article Subjects > Social Sciences Europe University of Atlantic > Research > Articles and books
Fundación Universitaria Internacional de Colombia > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés Angola, as with many countries on the African continent, has great inequalities or asymmetries between its provinces. At the economic, financial, and technological level, there is a great disparity between them, where it is observed that the province of Luanda is the largest financial business center to the detriment of others, such as Moxico, Zaire, and Cabinda. In the latter, despite the advantages of high oil production, from a regional point of view, they remain almost stagnant in time, in a social dysfunction where the population lives on extractivism and artisanal fishing. This article analyzes the most important events in contemporary regional history, the Portuguese occupation that was the Portuguese colonial rule over Angola (1890–1930) and the civil war that was a struggle between Angolans for control of the country (1975–2002), in the consolidation of the asymmetries between provinces. For this work, a theoretical-reflective study was conducted based on the reading of books, articles, and previous investigations on the phenomenon studied. Considering the interpretation and analysis of the theoretical content obtained through the bibliographic research conducted, this theoretical construction approaches the qualitative approach. We conclude that the deep inequalities between regions and within them, between the provinces studied, originated historically in the form of exploitation of the regions and from the consequences of the war. The asymmetries, observed through the variables studied show that the provinces historically explored and considered object regions present a lower growth compared to those that were considered subject regions in which the applied geopolitical strategy, as they are centers of primary production flows, was different. We also observe that, due to the conflicts of the civil war in the less developed regions, the inequalities have deepened, contributing seriously to a higher level of poverty and a lower development of the provinces where these conflicts took place. metadata Catoto Capitango, João Adolfo and Garat de Marin, Mirtha Silvana and Soriano Flores, Emmanuel and Rojo Gutiérrez, Marco Antonio and Gracia Villar, Mónica and Durántez Prados, Frigdiano Álvaro mail UNSPECIFIED, silvana.marin@uneatlantico.es, emmanuel.soriano@uneatlantico.es, marco.rojo@unini.edu.mx, monica.gracia@uneatlantico.es, durantez@uneatlantico.es (2022) Inequalities and Asymmetries in the Development of Angola’s Provinces: The Impact of Colonialism and Civil War. Social Sciences, 11 (8). p. 334. ISSN 2076-0760

Article Subjects > Biomedicine
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books Abierto Inglés The chemical composition and biological capacities of berries depend on environmental parameters, maturity, and location. The Andean blueberry (Vaccinium floribundum Kunth), also known as mortiño, presents a unique combination of several phytochemicals, which play a synergistic role in its characterization as a functional food. We aimed to expose the possible variations that exist in the profile of the phenolic compounds as well as the antioxidant and antimicrobial capacity of the wild Andean blueberry with respect to three ripeness stages and two different altitudes. We found that polyphenols are the predominant compounds in the berry during the early ripeness stage and are the main bioactive compounds that give rise to the antioxidant capacity and inhibition effect on the growth of gram-positive and gram-negative bacteria. Moreover, the accumulation of ascorbic acid, free amino acids, and anthocyanins increases as the ripening process progresses, and they were the main bioactive compounds in the ripe berry. The latter compounds influence the production of the typical bluish or reddish coloration of ripe blueberries. In addition, it was determined that environmental conditions at high altitudes could have a positive influence in all cases. Overall, our data provide evidence regarding the high functional value of the wild Andean blueberry. metadata Guevara-Terán, Mabel and Padilla-Arias, Katherine and Beltrán-Novoa, Andrea and González-Paramás, Ana M. and Giampieri, Francesca and Battino, Maurizio and Vásquez-Castillo, Wilson and Fernandez-Soto, Paulina and Tejera, Eduardo and Alvarez-Suarez, José M. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) Influence of Altitudes and Development Stages on the Chemical Composition, Antioxidant, and Antimicrobial Capacity of the Wild Andean Blueberry (Vaccinium floribundum Kunth). Molecules, 27 (21). p. 7525. ISSN 1420-3049

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books Abierto Inglés Several climatic trends are generally associated with altitude, that may influence the nutritional and phytochemical composition of plants. Strawberry is considered a functional food due to biological activities and health benefits. This systematic review and meta-analysis intend to expose possible variations on physicochemical composition and antioxidant capacity of strawberries in regard to altitude. Thirty eligible studies were included for the final meta-analysis. Two altitude ranges were established: 0 – 1000 and 1000—2000 m above sea level. A random-effects model was used to obtain the results. It was discovered that total soluble solids significantly decreased with altitude. Total titratable acidity increased with altitude. Vitamin C and total anthocyanins showed a significant difference between the groups before we discarded some studies. The analysis of altitude for phenolics and antioxidant capacity evaluated for the DPPH radical scavenging method did not identify any significant differences between the studies. The findings suggest that altitude does not affect the physicochemical composition and antioxidant capacity of strawberries; nonetheless, a more exhaustive study is recommended. metadata Guevara-Terán, Mabel and Gonzalez-Paramás, Ana M. and Beltrán-Noboa, Andrea and Giampieri, Francesca and Battino, Maurizio and Tejera, Eduardo and Alvarez-Suarez, José M. mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es, UNSPECIFIED, UNSPECIFIED (2022) Influence of altitude on the physicochemical composition and antioxidant capacity of strawberry: a preliminary systematic review and meta-analysis. Phytochemistry Reviews. ISSN 1568-7767

Article Subjects > Nutrition Europe University of Atlantic > Research > Articles and books Abierto Inglés Agro-foodindustries generate colossal amounts of non-edible waste and by-products, easily accessible as raw materials for up-cycling active phytochemicals. Phenolic compounds are particularly relevant in this field given their abundance in plant residues and the market interest of their functionalities (e.g. natural antioxidant activity) as part of nutraceutical, cosmetological and biomedical formulations. In “bench-to-bedside” achievements, sample extraction is essential because valorization benefits from matrix desorption and solubilization of targeted phytocompounds. Specifically, the composition and polarity of the extractant, the optimal sample particle size and sample:solvent ratio, as well as pH, pressure and temperature are strategic for the release and stability of mobilized species. On the other hand, current green chemistry environmental rules require extraction approaches that eliminate polluting consumables and reduce energy needs. Thus, the following pages provide an update on advanced technologies for the sustainable and efficient recovery of phenolics from plant matrices. metadata Gil-Martín, Emilio and Forbes-Hernández, Tamara and Romero, Alejandro and Cianciosi, Danila and Giampieri, Francesca and Battino, Maurizio mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, maurizio.battino@uneatlantico.es (2022) Influence of the extraction method on the recovery of bioactive phenolic compounds from food industry by-products. Food Chemistry, 378. p. 131918. ISSN 03088146

Article Subjects > Biomedicine Europe University of Atlantic > Research > Articles and books Abierto Inglés Composites of polymer and graphene-based nanomaterials (GBNs) combine easy processing onto porous 3D membrane geometries due to the polymer and cellular differentiation stimuli due to GBNs fillers. Aiming to step forward to the clinical application of polymer/GBNs composites, this study performs a systematic and detailed comparative analysis of the influence of the properties of four different GBNs: (i) graphene oxide obtained from graphite chemically processes (GO); (ii) reduced graphene oxide (rGO); (iii) multilayered graphene produced by mechanical exfoliation method (Gmec); and (iv) low-oxidized graphene via anodic exfoliation (Ganodic); dispersed in polycaprolactone (PCL) porous membranes to induce astrocytic differentiation. PCL/GBN flat membranes were fabricated by phase inversion technique and broadly characterized in morphology and topography, chemical structure, hydrophilicity, protein adsorption, and electrical properties. Cellular assays with rat C6 glioma cells, as model for cell-specific astrocytes, were performed. Remarkably, low GBN loading (0.67 wt%) caused an important difference in the response of the C6 differentiation among PCL/GBN membranes. PCL/rGO and PCL/GO membranes presented the highest biomolecule markers for astrocyte differentiation. Our results pointed to the chemical structural defects in rGO and GO nanomaterials and the protein adsorption mechanisms as the most plausible cause conferring distinctive properties to PCL/GBN membranes for the promotion of astrocytic differentiation. Overall, our systematic comparative study provides generalizable conclusions and new evidences to discern the role of GBNs features for future research on 3D PCL/graphene composite hollow fiber membranes for in vitro neural models. metadata Mantecón-Oria, Marián and Tapia Martínez, Olga and Lafarga, Miguel and Berciano, María T. and Munuera, Jose M. and Villar-Rodil, Silvia and Paredes, Juan I. and Rivero, María J. and Diban, Nazely and Urtiaga, Ane mail UNSPECIFIED, olga.tapia@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED (2022) Influence of the properties of different graphene-based nanomaterials dispersed in polycaprolactone membranes on astrocytic differentiation. Scientific Reports, 12 (1). ISSN 2045-2322

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Cerrado Inglés In today’s modern world, information and communication technologies are playing an active role in increasing the standards and quality of life for the betterment of human beings. Due to these technologies, people are now learning and experiencing new things very effectively and efficiently. With the implementation of information technology (IT)-based smart technologies in music education, learners can learn and create quality music. There is a need for the employment of information technology in music classrooms. Governments and institutions need to provide adequate resources to achieve its implementation. The traditional methods of learning are not capable of providing enough quality education to students. The present study focuses on the crucial role of information technology in the enhancement of music education. The advancements in modern technologies are expanding music education very rapidly and productively. To help learners with the use of an accurate technological method for learning purposes, various features have been identified from the existing literature. Based on these identified features, different IT-based procedures are ranked by the employment of analytic hierarchy process (AHP) and TOPSIS. The outcomes of the study demonstrated the efficacy of the approachesCorr. metadata Fu, Yi and Zhang, Mengjia and Nawaz, Muhammad and Ali, Muhammad and Singh, Aman mail UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, aman.singh@uneatlantico.es (2022) Information technology-based revolution in music education using AHP and TOPSIS. Soft Computing. ISSN 1432-7643

Article Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Scientific Production
Universidad Internacional do Cuanza > Research > Scientific Production
Abierto Inglés In December 2019, a group of people in Wuhan city of Hubei province of China were found to be affected by an infection called dark etiology pneumonia. The outbreak of this pneumonia infection was declared a deadly disease by the China Center for Disease Control and Prevention on January 9, 2020, named Novel Coronavirus 2019 (nCoV-2019). This nCoV-2019 is now known as COVID-19. There is a big list of infections of this coronavirus which is present in the form of a big family. This virus can cause several diseases that usually develop with a serious problem. According to the World Health Organization (WHO), 2019-nCoV has been placed as the modern generation of Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) coronaviruses, so COVID-19 can repeatedly change its internal genome structure to extend its existence. Understanding and accurately predicting the mutational properties of the genome structure of COVID-19 can form a good leadership role in preventing and fighting against coronavirus. In this research paper, an analytical approach has been presented which is based on the k-means cluster technique of machine learning to find the clusters over the mutational properties of the COVID-19 viruses’ complete genome. This method would be able to act as a promising tool to monitor and track pathogenic infections in their stable and local genetics/hereditary varieties. This paper identifies five main clusters of mutations with as best in most cases in the coronavirus that could help scientists and researchers develop disease control vaccines for the transformation of coronaviruses. metadata Dumka, Ankur and Verma, Parag and Singh, Rajesh and Bhardwaj, Anuj and Alsubhi, Khalid and Anand, Divya and Delgado Noya, Irene and Aparicio Obregón, Silvia mail