Elaboración y aplicación de una secuencia didáctica para la enseñanza-aprendizaje de algunos fenómenos termodinámicos usando un enfoque CTSA
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Europe University of Atlantic > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
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La presente investigación que se muestra es un aporte para el desarrollo de trabajo mediante un enfoque Ciencia, Tecnología, Sociedad y ambiente (CTSA), en el cual se relacionan aspectos como la elaboración de una secuencia didáctica y el análisis de una evaluación cuantitativa y cualitativa de respuestas. Las anteriores son obtenidas de los estudiantes de la institución educativa Paula Montal en Itagüí Antioquia- Colombia, sobre cuestiones controversiales de la ciencia y tecnología, las cuales se articularon con contenidos del área de física de ciencias naturales para el grado once.Dicho enfoque se aplicó apoyado en los conceptos de algunos fenómenos termodinámicos, los cuales se organizaron en una secuencia didáctica que contenía preguntas y situaciones controversiales, experimentos demostrativos, discusiones mediante foros de noticias controversiales y un juego de roles con el fin de desarrollar habilidades CTSA en los estudiantes como la capacidad de argumentar y de tomar decisiones.La aplicación de la secuencia fue pertinente porque los estudiantes se motivaron a conocer los fenómenos termodinámicos de una forma menos abstracta, así como sus implicaciones para la sociedad y el medio ambiente. Además, lograron desarrollar habilidades de argumentación, reflexión, postura crítica y visión holística que tienen gran importancia a la hora de tomar una decisión sobre aspectos tecno-científicos pertinentes a la actualidad y al contexto que los rodea. Sin embargo, la mayoría de ellos siguen teniendo dificultades para discutir argumentos referentes a la educación al momento de relacionarlos con alguna situación controversial.
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Bautista Medina, Cristhian Mauricio
mail
cristhianmbm@gmail.com
(2022)
Elaboración y aplicación de una secuencia didáctica para la enseñanza-aprendizaje de algunos fenómenos termodinámicos usando un enfoque CTSA.
Masters thesis, UNSPECIFIED.
Abstract
La presente investigación que se muestra es un aporte para el desarrollo de trabajo mediante un enfoque Ciencia, Tecnología, Sociedad y ambiente (CTSA), en el cual se relacionan aspectos como la elaboración de una secuencia didáctica y el análisis de una evaluación cuantitativa y cualitativa de respuestas. Las anteriores son obtenidas de los estudiantes de la institución educativa Paula Montal en Itagüí Antioquia- Colombia, sobre cuestiones controversiales de la ciencia y tecnología, las cuales se articularon con contenidos del área de física de ciencias naturales para el grado once.Dicho enfoque se aplicó apoyado en los conceptos de algunos fenómenos termodinámicos, los cuales se organizaron en una secuencia didáctica que contenía preguntas y situaciones controversiales, experimentos demostrativos, discusiones mediante foros de noticias controversiales y un juego de roles con el fin de desarrollar habilidades CTSA en los estudiantes como la capacidad de argumentar y de tomar decisiones.La aplicación de la secuencia fue pertinente porque los estudiantes se motivaron a conocer los fenómenos termodinámicos de una forma menos abstracta, así como sus implicaciones para la sociedad y el medio ambiente. Además, lograron desarrollar habilidades de argumentación, reflexión, postura crítica y visión holística que tienen gran importancia a la hora de tomar una decisión sobre aspectos tecno-científicos pertinentes a la actualidad y al contexto que los rodea. Sin embargo, la mayoría de ellos siguen teniendo dificultades para discutir argumentos referentes a la educación al momento de relacionarlos con alguna situación controversial.
Item Type: | Thesis (Masters) |
---|---|
Uncontrolled Keywords: | Calor, Temperatura, termodinámica, equilibrio térmico y maquinas térmicas. |
Subjects: | Subjects > Teaching |
Divisions: | Europe University of Atlantic > Teaching > Final Master Projects Ibero-american International University > Teaching > Final Master Projects |
Date Deposited: | 15 Nov 2023 23:30 |
Last Modified: | 15 Nov 2023 23:30 |
URI: | https://repositorio.uneatlantico.es/id/eprint/1441 |
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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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A novel machine learning-based proposal for early prediction of endometriosis disease
Background Endometriosis is one of the causes of female infertility, with some studies estimating its prevalence at around 10 % of reproductive-age women worldwide and between 30 and 50 % in symptomatic women. However, its diagnosis is complex and often delayed, highlighting the need for more accessible and accurate diagnostic methods. The difficulty lies in its diverse etiology and the variability of symptoms among those affected. Methods This study proposes a predictive model based on supervised machine learning for the early identification of endometriosis, providing support for decision-making by healthcare professionals. For this purpose, an anonymised dataset of 5,143 female patients diagnosed with endometriosis at the private fertility clinic Inebir was used. The model integrates clinical records and genetic analysis through supervised machine learning algorithms, focusing on clinical variables and pathogenic and potentially pathogenic genetic variants. Results The developed predictive model achieves high accuracy in identifying the presence of endometriosis, highlighting the importance of combining clinical and genetic data in diagnosis. The integration of this data into the DELFOS platform, a clinical decision support system, demonstrates the utility of machine learning in improving the diagnosis of endometriosis. Conclusions The findings underscore the potential of clinical and genetic factors in the early diagnosis of endometriosis using supervised machine learning algorithms. This study contributes to the classification of clinical variables that influence endometriosis, offering a valuable tool for clinicians in making therapeutic and management decisions for their female patients.
Elena Enamorado-Díaz mail , Leticia Morales-Trujillo mail , Julián-Alberto García-García mail , Ana Teresa Marcos Rodríguez mail anateresa.marcos@uneatlantico.es, José Manuel Navarro-Pando mail jose.navarro@uneatlantico.es, María-José Escalona-Cuaresma mail ,
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Alzheimer's disease (AD) involves β-amyloid plaques and tau hyperphosphorylation, driven by oxidative stress and neuroinflammation. Cyclooxygenase-2 (COX-2) and acetylcholinesterase (AChE) activities exacerbate AD pathology. Olive leaf (OL) extracts, rich in bioactive compounds, offer potential therapeutic benefits. This study aimed to assess the anti-inflammatory, anti-cholinergic, and antioxidant effects of three OL extracts (low, mid, and high bioactive content) in vitro and their protective effects against AD-related proteinopathies in Caenorhabditis elegans models. OL extracts were characterized for phenolic composition, AChE and COX-2 inhibition, as well as antioxidant capacity. Their effects on intracellular and mitochondrial reactive oxygen species (ROS) were tested in C. elegans models expressing human Aβ and tau proteins. Gene expression analyses examined transcription factors (DAF-16, skinhead [SKN]-1) and their targets (superoxide dismutase [SOD]-2, SOD-3, GST-4, and heat shock protein [HSP]-16.2). High-OL extract demonstrated superior AChE and COX-2 inhibition and antioxidant capacity. Low- and high-OL extracts reduced Aβ aggregation, ROS levels, and proteotoxicity via SKN-1/NRF-2 and DAF-16/FOXO pathways, whereas mid-OL showed moderate effects through proteostasis modulation. In tau models, low- and high-OL extracts mitigated mitochondrial ROS levels via SOD-2 but had limited effects on intracellular ROS levels. High-OL extract also increased GST-4 levels, whereas low and mid extracts enhanced GST-4 levels. OL extracts protect against AD-related proteinopathies by modulating oxidative stress, inflammation, and proteostasis. High-OL extract showed the most promise for nutraceutical development due to its robust phenolic profile and activation of key antioxidant pathways. Further research is needed to confirm long-term efficacy.
Jose M. Romero‐Marquez mail , María D. Navarro‐Hortal mail , Alfonso Varela‐López mail , Rubén Calderón Iglesias mail ruben.calderon@uneatlantico.es, Juan G. Puentes mail , Francesca Giampieri mail francesca.giampieri@uneatlantico.es, Maurizio Battino mail maurizio.battino@uneatlantico.es, Cristina Sánchez‐González mail , Jianbo Xiao mail , Roberto García‐Ruiz mail , Sebastián Sánchez mail , Tamara Y. Forbes‐Hernández mail , José L. Quiles mail jose.quiles@uneatlantico.es,
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Garlic is a horticultural product highly valued for its culinary and medicinal attributes. The aim of this study was to evaluate the composition of a garlic hydrophilic extract as well as the influence on redox biology, Alzheimer's Disease (AD) markers and aging, using Caenorhabditis elegans as experimental model. The extract was rich in sulfur compounds, highlighting the presence of other compounds like phenolics, and the antioxidant property was corroborated. Regarding AD markers, the acetylcholinesterase inhibitory capacity was demonstrated in vitro. Although the extract did not modify the amyloid β-induced paralysis degree, it was able to improve, in a dose-dependent manner, some locomotive parameters affected by the hyperphosphorylated tau protein in C. elegans. It could be related to the effect found on GFP-transgenic stains, mainly regarding to the increase in the gene expression of HSP-16.2. Moreover, an initial investigation into the aging process revealed that the extract successfully inhibited the accumulation of intracellular and mitochondrial reactive oxygen species in aged worms. These results provide valuable insights into the multifaceted impact of garlic extract, particularly in the context of aging and neurodegenerative processes. This study lays a foundation for further research avenues exploring the intricate molecular mechanisms underlying garlic effects and its translation into potential therapeutic interventions for age-related neurodegenerative conditions.
María D. Navarro‐Hortal mail , Jose M. Romero‐Marquez mail , Johura Ansary mail , Cristina Montalbán‐Hernández mail , Alfonso Varela‐López mail , Francesca Giampieri mail francesca.giampieri@uneatlantico.es, Jianbo Xiao mail , Rubén Calderón Iglesias mail ruben.calderon@uneatlantico.es, Maurizio Battino mail maurizio.battino@uneatlantico.es, Cristina Sánchez‐González mail , Tamara Y. Forbes‐Hernández mail , José L. Quiles mail jose.quiles@uneatlantico.es,
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