C-IoT Inspired Real-Time and Intervallic Accreditation Under Education 4.0
Ponencia/Presentación en Jornada, Congreso Materias > Ingeniería Universidad Europea del Atlántico > Investigación > Artículos y libros 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; Anand, Divya; Singh, Aman y Vij, Rishika mail SIN ESPECIFICAR, divya.anand@uneatlantico.es, aman.singh@uneatlantico.es, SIN ESPECIFICAR (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).
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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.
Tipo de Documento: | Ponencia/Presentación en Jornada, Congreso (Artículo) |
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Notas: | congreso |
Palabras Clave: | Education 4.0, IoT, fog, cloud, assessment, accreditation, real-time, intervallic |
Clasificación temática: | Materias > Ingeniería |
Divisiones: | Universidad Europea del Atlántico > Investigación > Artículos y libros |
Depositado: | 31 Ene 2023 23:30 |
Ultima Modificación: | 11 Jul 2023 23:31 |
URI: | https://repositorio.uneatlantico.es/id/eprint/5636 |
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Enzymatic treatment shapes in vitro digestion pattern of phenolic compounds in mulberry juice
The health benefits of mulberry fruit are closely associated with its phenolic compounds. However, the effects of enzymatic treatments on the digestion patterns of these compounds in mulberry juice remain largely unknown. This study investigated the impact of pectinase (PE), pectin lyase (PL), and cellulase (CE) on the release of phenolic compounds in whole mulberry juice. The digestion patterns were further evaluated using an in vitro simulated digestion model. The results revealed that PE significantly increased chlorogenic acid content by 77.8 %, PL enhanced cyanidin-3-O-glucoside by 20.5 %, and CE boosted quercetin by 44.5 %. Following in vitro digestion, the phenolic compound levels decreased differently depending on the treatment, while cyanidin-3-O-rutinoside content increased across all groups. In conclusion, the selected enzymes effectively promoted the release of phenolic compounds in mulberry juice. However, during gastrointestinal digestion, the degradation of phenolic compounds surpassed their enhanced release, with effects varying based on the compound's structure.
Peihuan Luo mail , Jian Ai mail , Qiongyao Wang mail , Yihang Lou mail , Zhiwei Liao mail , Francesca Giampieri mail francesca.giampieri@uneatlantico.es, Maurizio Battino mail maurizio.battino@uneatlantico.es, Elwira Sieniawska mail , Weibin Bai mail , Lingmin Tian mail ,
Luo
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Background Before the incorporation of enfortumab vedotin with pembrolizumab, the standard of care for patients with locally advanced or metastatic urothelial carcinoma who do not progress after platinum-based chemotherapy was avelumab maintenance therapy, as demonstrated by the JAVELIN 100 trial. However, real-world European data remain scarce. Patients and Methods AVEBLADDER is a retrospective study conducted at 14 hospitals in Northern Spain, including patients with locally advanced or metastatic urothelial carcinoma diagnosed between January 2021 and June 2023. Outcomes of overall survival (OS) and progression-free survival (PFS) were analyzed for patients treated with platinum-based chemotherapy, with and without subsequent avelumab maintenance therapy. non-avelumab patients. Median PFS was 11.33 months (95% CI: 10–13.6) with avelumab and 6.43 months (95% CI: 6–7.6) without. One-year OS probabilities were 81.6% vs. 45.6% (p < 0.001) in the avelumab and non-avelumab groups, respectively. No unexpected toxicities were reported. Conclusions Despite proven survival benefits, avelumab uptake in real-world practice is limited by barriers like access, reimbursement, and awareness. These findings align with JAVELIN 100 and underscore the need for further real-world studies to address treatment disparities.
Marta Sotelo mail , Mireia Peláez mail mireia.pelaez@uneatlantico.es, Laura Basterretxea mail , Estrella Varga mail , Ricardo Sánchez-Escribano mail , Eduardo Pujol Obis mail , Carmen Santander mail , Mireia Martínez Kareaga mail , Mikel Arruti Ibarbia mail , Inmaculada Rodríguez Ledesma mail , Carlos Álvarez Fernández mail , Pablo Piedra mail , Verónica Calderero Aragón mail , Nuria Lainez mail , Juan Antonio Verdún Aguilar mail , Irene Gil Arnáiz mail , Ricardo Fernández mail , Cristina Mazas Pérez-Oleaga mail cristina.mazas@uneatlantico.es, Ignacio Duran mail ,
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Although financial literacy would seem relevant to university students’ education, it is not currently offered as a transversal subject within European academic curricula. It should therefore come as no surprise that a common solution are ad-hoc specific courses, with students often additionally acquiring valuable learning through their own experiences in business environments. With this and the recent literature on the drivers of financial literacy in mind, the authors decided to explore the context shaped by socio-demographic, academic and work-related factors that either promote or prevent European university students from developing appropriate financial skills, such as managing personal finances, planning for short- and long-term needs, and distinguishing among different sources of non-traditional funding. The study used a sample of 881 undergraduate and postgraduate university students from Romania, Poland and Spain from different studies, with information obtained through an anonymous online survey. The applied econometric model was cumulative regression with location-scale estimation using the R software, version 4.3.2, with variables associated directly with the development of basic financial skills being age, gender, country, but also specific training as well as work and entrepreneurial experience. The authors stress the importance of providing financial management education connected to the reality, especially the business and entrepreneurial environment.
Inna Alexeeva-Alexeev mail inna.alexeeva@uneatlantico.es, Ana Kaminska mail , Cristina Mazas Pérez-Oleaga mail cristina.mazas@uneatlantico.es, Sorin Gabriel Anton mail ,
Alexeeva-Alexeev
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A novel machine learning-based proposal for early prediction of endometriosis disease
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Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis
The proliferation of damaging content on social media in today’s digital environment has increased the need for efficient hate speech identification systems. A thorough examination of hate speech detection methods in a variety of settings, such as code-mixed, multilingual, visual, audio, and textual scenarios, is presented in this paper. Unlike previous research focusing on single modalities, our study thoroughly examines hate speech identification across multiple forms. We classify the numerous types of hate speech, showing how it appears on different platforms and emphasizing the unique difficulties in multi-modal and multilingual settings. We fill research gaps by assessing a variety of methods, including deep learning, machine learning, and natural language processing, especially for complicated data like code-mixed and cross-lingual text. Additionally, we offer key technique comparisons, suggesting future research avenues that prioritize multi-modal analysis and ethical data handling, while acknowledging its benefits and drawbacks. This study attempts to promote scholarly research and real-world applications on social media platforms by acting as an essential resource for improving hate speech identification across various data sources.
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