Estrategias Pedagógicas para la inclusión educativa de estudiantes en contextos de vulnerabilidad social de primero de bachillerato de la Unidad Educativa Extensión Matriz, cantón Lago Agrio, provincia de Sucumbíos, Ecuador, año 2021
Tesis
Materias > Educación
Universidad Internacional Iberoamericana México > Docencia > Trabajos finales de Máster
Universidad Internacional Iberoamericana Puerto Rico > Docencia > Trabajos finales de Máster
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La presente investigación se enfoca en la interculturalidad y su efecto en el bajo rendimiento académico, ya que es un tema que compete a todos los que vivimos en este país. Por tal razón se propuso analizar el rendimiento académico en contexto de vulnerabilidad e interculturalidad en los alumnos de primero de bachillerato de la Unidad Educativa Extensión Matriz, cantón Lago Agrio, provincia de Sucumbíos, Ecuador, año 2021. En primer lugar, se aplicó una metodología con enfoque cuali – cuantitativa y tipo de estudio descriptivo, en el cual participaron del estudio 30 alumnos que cursaban primero de bachillerato de la especialidad de ciencias, la mayoría de estos estudiantes tienen una edad entre 15 a 17 años, de los cuales, cuatro son de nacionalidad colombiana. Por otra parte, se encuestaron a 10 docentes, la mayoría son de género masculino, todos ellos son de nacionalidad ecuatoriana. En primer lugar, se realizó una encuesta a los estudiantes, como resultado el 60% de ellos advierte que casi siempre ayudan a los compañeros a entender mejor las actividades escolares a diferencia del 40% que mencionan rara vez brindan ese apoyo sobre aprendizaje en el aula afectando su rendimiento académico. En segundo lugar, se procedió a encuestar a los docentes, obteniendo como resultado que las causas del rendimiento académico de los estudiantes por lograr sus objetivos son el poco interés en el estudio; las estrategias utilizadas por el docente para involucrar en el aula a todos los estudiantes, lograr sus objetivos y búsqueda de estrategias en la enseñanza. Además, mencionan que existen varios factores de riesgo que inciden en el rendimiento académico del estudiante como la no dedicación; el origen cultural; desertores económicos; escasez de estrategias de enseñanzas en los docentes; relacionarse, el compartir, reprobar el año escolar, entre otros. Finalmente, se diseñó un sistema de actividades sobre proyectos interdisciplinares, fundamentados en contenidos teóricos sobre educación multicultural con los distintos modelos que existen en la actualidad en relación con el Aprendizaje Basado en Proyectos y la priorización de contenidos básicos para consolidar competencias en ciencias. Se concluye, que, en base a la evaluación según el criterio experto de los tres evaluadores, que las guías didácticas y pedagógicas logran generar un grado de influencia alto y favorable en el aula de clases.
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Vera Rendon, Mayra Magaly
mail
mayve1987@hotmail.com
(2022)
Estrategias Pedagógicas para la inclusión educativa de estudiantes en contextos de vulnerabilidad social de primero de bachillerato de la Unidad Educativa Extensión Matriz, cantón Lago Agrio, provincia de Sucumbíos, Ecuador, año 2021.
Masters thesis, SIN ESPECIFICAR.
Resumen
La presente investigación se enfoca en la interculturalidad y su efecto en el bajo rendimiento académico, ya que es un tema que compete a todos los que vivimos en este país. Por tal razón se propuso analizar el rendimiento académico en contexto de vulnerabilidad e interculturalidad en los alumnos de primero de bachillerato de la Unidad Educativa Extensión Matriz, cantón Lago Agrio, provincia de Sucumbíos, Ecuador, año 2021. En primer lugar, se aplicó una metodología con enfoque cuali – cuantitativa y tipo de estudio descriptivo, en el cual participaron del estudio 30 alumnos que cursaban primero de bachillerato de la especialidad de ciencias, la mayoría de estos estudiantes tienen una edad entre 15 a 17 años, de los cuales, cuatro son de nacionalidad colombiana. Por otra parte, se encuestaron a 10 docentes, la mayoría son de género masculino, todos ellos son de nacionalidad ecuatoriana. En primer lugar, se realizó una encuesta a los estudiantes, como resultado el 60% de ellos advierte que casi siempre ayudan a los compañeros a entender mejor las actividades escolares a diferencia del 40% que mencionan rara vez brindan ese apoyo sobre aprendizaje en el aula afectando su rendimiento académico. En segundo lugar, se procedió a encuestar a los docentes, obteniendo como resultado que las causas del rendimiento académico de los estudiantes por lograr sus objetivos son el poco interés en el estudio; las estrategias utilizadas por el docente para involucrar en el aula a todos los estudiantes, lograr sus objetivos y búsqueda de estrategias en la enseñanza. Además, mencionan que existen varios factores de riesgo que inciden en el rendimiento académico del estudiante como la no dedicación; el origen cultural; desertores económicos; escasez de estrategias de enseñanzas en los docentes; relacionarse, el compartir, reprobar el año escolar, entre otros. Finalmente, se diseñó un sistema de actividades sobre proyectos interdisciplinares, fundamentados en contenidos teóricos sobre educación multicultural con los distintos modelos que existen en la actualidad en relación con el Aprendizaje Basado en Proyectos y la priorización de contenidos básicos para consolidar competencias en ciencias. Se concluye, que, en base a la evaluación según el criterio experto de los tres evaluadores, que las guías didácticas y pedagógicas logran generar un grado de influencia alto y favorable en el aula de clases.
| Tipo de Documento: | Tesis (Masters) |
|---|---|
| Palabras Clave: | enfoque intercultural, estudiantes migrantes, desempeño académico, proceso de enseñanza - aprendizaje, educación secundaria. |
| Clasificación temática: | Materias > Educación |
| Divisiones: | Universidad Internacional Iberoamericana México > Docencia > Trabajos finales de Máster Universidad Internacional Iberoamericana Puerto Rico > Docencia > Trabajos finales de Máster |
| Depositado: | 03 Nov 2023 23:30 |
| Ultima Modificación: | 03 Nov 2023 23:30 |
| URI: | https://repositorio.unini.edu.mx/id/eprint/1924 |
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Single-cell omics for nutrition research: an emerging opportunity for human-centric investigations
Understanding how dietary compounds affect human health is challenged by their molecular complexity and cell-type–specific effects. Conventional multi-cell type (bulk) analyses obscure cellular heterogeneity, while animal and standard in vitro models often fail to replicate human physiology. Single-cell omics technologies—such as single-cell RNA sequencing, as well as single-cell–resolved proteomic and metabolomic approaches—enable high-resolution investigation of nutrient–cell interactions and reveal mechanisms at a single-cell resolution. When combined with advanced human-derived in vitro systems like organoids and organ-on-chip platforms, they support mechanistic studies in physiologically relevant contexts. This review outlines emerging applications of single-cell omics in nutrition research, emphasizing their potential to uncover cell-specific dietary responses, identify nutrient-sensitive pathways, and capture interindividual variability. It also discusses key challenges—including technical limitations, model selection, and institutional biases—and identifies strategic directions to facilitate broader adoption in the field. Collectively, single-cell omics offer a transformative framework to advance human-centric nutrition research.
Manuela Cassotta mail manucassotta@gmail.com, Yasmany Armas Diaz mail , Danila Cianciosi mail , Bei Yang mail , Zexiu Qi mail , Ge Chen mail , Santos Gracia Villar mail santos.gracia@uneatlantico.es, Luis Alonso Dzul López mail luis.dzul@uneatlantico.es, Giuseppe Grosso mail , José L. Quiles mail , Jianbo Xiao mail , Maurizio Battino mail maurizio.battino@uneatlantico.es, Francesca Giampieri mail francesca.giampieri@uneatlantico.es,
Cassotta
<a href="/17878/1/s13018-025-06422-7.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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Background Anterior shoulder instability is a common condition, especially among young and active individuals, often associated with both osseous and soft tissue injuries. Recent innovations have introduced various surgical options for managing critical and subcritical instability. Therefore, the primary objective of this systematic review was to collect, synthesize, and integrate international research published across multiple scientific databases on shoulder ligamentoplasty, arthroscopic Latarjet, dynamic anterior stabilization (DAS), and arthroscopic Trillat techniques used in the treatment of shoulder instability. Method A structured search was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and the PICOS model, up to January 30, 2025, in the MEDLINE/PubMed, Web of Science (WOS), ScienceDirect, Cochrane Library, SciELO, EMBASE, SPORTDiscus, and Scopus databases. The risk of bias was evaluated, and the PEDro scale was used to assess methodological quality. Results The initial search yielded a total of 964 articles. After applying the inclusion and exclusion criteria, the final sample consisted of 25 articles. These studies demonstrated a high standard of methodological quality. The review summarized the effects of ligamentoplasty, arthroscopic Latarjet, dynamic anterior stabilization, and arthroscopic Trillat techniques in treating shoulder instability, detailing the sample population, immobilization period, frequency of instability episodes—including recurrent dislocations and subluxations—surgical methods, study designs, assessed variables, main findings, and reported outcomes. Conclusions Arthroscopic ligamentoplasty is advantageous in preserving the patient’s native anatomy, maintaining joint integrity, and allowing for alternative interventions in case of failure. The arthroscopic Trillat technique offers a minimally invasive solution for anterior instability without significant bone loss. The DAS technique utilizes the biceps tendon to provide dynamic stabilization, aiming to generate a sling effect over the subscapularis muscle. The Latarjet procedure remains the gold standard for managing anterior glenoid bone loss greater than 20%. Each surgical option for anterior shoulder instability carries specific implications, and treatment decisions should be tailored based on bone loss severity, capsuloligamentous quality, and the patient’s functional needs.
Carlos Galindo-Rubín mail , Yehinson Barajas Ramón mail , Fernando Maniega Legarda mail , Álvaro Velarde-Sotres mail alvaro.velarde@uneatlantico.es,
Galindo-Rubín
<a class="ep_document_link" href="/17880/1/nutrients-17-03613.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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Background/Objectives: Estimating energy and macronutrients from food images is clinically relevant yet challenging, and rigorous evaluation requires transparent accuracy metrics with uncertainty and clear acknowledgement of reference data limitations across heterogeneous sources. This study assessed ChatGPT-5, a general-purpose vision-language model, across four scenarios differing in the amount and type of contextual information provided, using a composite dataset to quantify accuracy for calories and macronutrients. Methods: A total of 195 dishes were evaluated, sourced from Allrecipes.com, the SNAPMe dataset, and Home-prepared, weighed meals. Each dish was evaluated under Case 1 (image only), Case 2 (image plus standardized non-visual descriptors), Case 3 (image plus ingredient lists with amounts), and Case 4 (replicates Case 3 but excluding the image). The primary endpoint was kcal Mean Absolute Error (MAE); secondary endpoints included Median Absolute Error (MedAE) and Root Mean Square Error (RMSE) for kcal and macronutrients (protein, carbohydrates, and lipids), all reported with 95% Confidence Intervals (CIs) via dish-level bootstrap resampling and accompanied by absolute differences (Δ) between scenarios. Inference settings were standardized to support reproducibility and variance estimation. Source stratified analyses and quartile summaries were conducted to examine heterogeneity by curation level and nutrient ranges, with additional robustness checks for error complexity relationships. Results and Discussion: Accuracy improved from Case 1 to Case 2 and further in Case 3 for energy and all macronutrients when summarized by MAE, MedAE, and RMSE with 95% CIs, with absolute reductions (Δ) indicating material gains as contextual information increased. In contrast to Case 3, estimation accuracy declined in Case 4, underscoring the contribution of visual cues. Gains were largest in the Home-prepared dietitian-weighed subset and smaller yet consistent for Allrecipes.com and SNAPMe, reflecting differences in reference curation and measurement fidelity across sources. Scenario-level trends were concordant across sources, and stratified and quartile analyses showed coherent patterns of decreasing absolute errors with the provision of structured non-visual information and detailed ingredient data. Conclusions: ChatGPT-5 can deliver practically useful calorie and macronutrient estimates from food images, particularly when augmented with standardized nonvisual descriptors and detailed ingredients, as evidenced by reductions in MAE, MedAE, and RMSE with 95% CIs across scenarios. The decline in accuracy observed when the image was omitted, despite providing detailed ingredient information, indicates that visual cues contribute meaningfully to estimation performance and that improvements are not solely attributable to arithmetic from ingredient lists. Finally, to promote generalizability, it is recommended that future studies include repeated evaluations across diverse datasets, ensure public availability of prompts and outputs, and incorporate systematic comparisons with non-artificial-intelligence baselines.
Marcela Rodríguez- Jiménez mail , Gustavo Daniel Martín-del-Campo-Becerra mail , Sandra Sumalla Cano mail sandra.sumalla@uneatlantico.es, Jorge Crespo-Álvarez mail jorge.crespo@uneatlantico.es, Iñaki Elío Pascual mail inaki.elio@uneatlantico.es,
Rodríguez- Jiménez
<a class="ep_document_link" href="/17884/1/s12939-025-02596-y.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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Background Maternal and child undernutrition remains a major global health concern despite modest progress. Accelerating reductions in stunting and wasting will require increased investments in nutrition-sensitive interventions, which target nutrition impacts outside of the healthcare setting. This review examines the effects of four types of nutrition-sensitive interventions —cash/food transfers, nutrition-sensitive agriculture, water/sanitation/hygiene, and school nutrition— on maternal and child nutrition outcomes and dietary diversity. Methods We synthesized the evidence using an initial broad search and synthesis for nutrition-sensitive interventions, followed by targeted searches and syntheses for specific interventions and nutrition outcomes. Meta-analyses were performed to evaluate the impacts of cash transfers and agricultural interventions, while a narrative synthesis was produced for additional nutrition-sensitive interventions. Additionally, qualitative synthesis was incorporated to provide insights into the relationship between implementation context and program effectiveness. Results Our initial evidence synthesis included 260 quantitative studies, and additional targeted searches produced 72 eligible articles. Meta-analyses reveal positive impacts on dietary diversity for cash transfers without nutrition-specific components (0.14 SMD; 95% CI: 0.06–0.22), and some nutrition-sensitive agricultural interventions (0.24 SMD; 95% CI: 0.11–0.37). Cash transfers have larger effects on dietary diversity when they include behavior change communication or other nutrition-specific elements (0.41 SMD; 95% CI; 0.15–0.66), whereas agriculture programs with nutrition-specific elements do not show larger effects on dietary diversity than those without. Narrative syntheses indicate that homestead food production interventions may reduce anemia, school feeding interventions may improve anthropometric outcomes, and WASH interventions are most effective when combined with other nutrition initiatives. Conclusions We find consistent evidence that nutrition-sensitive programs contribute to dietary diversity and may have small but positive effects on nutrition outcomes, such as anthropometric outcomes and anemia. Integrating nutrition into social protection, agriculture, and education sectors is essential for addressing the underlying causes of malnutrition, such as dietary diversity.
Thomas de Hoop mail , Adria Molotsky mail , Rebecca Walcott mail , Pablo Gaitán-Rossi mail , Sonia Hernández-Cordero mail , Amos Laar mail , Torben Behmer mail , Hoa Thi Mai Nguyen mail , Averi Chakrabarti mail , Garima Siwach mail , Varsha Ranjit mail , Vania Lara-Mejía mail , Bianca Franco-Lares mail , Mireya Vilar mail ,
de Hoop
<a class="ep_document_link" href="/17885/1/s41598-025-26052-7.pdf"><img class="ep_doc_icon" alt="[img]" src="/style/images/fileicons/text.png" border="0"/></a>
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Mango is one of the most beloved fruits and plays an indispensable role in the agricultural economies of many tropical countries like Pakistan, India, and other Southeast Asian countries. Similar to other fruits, mango cultivation is also threatened by various diseases, including Anthracnose and Red Rust. Although farmers try to mitigate such situations on time, early and accurate detection of mango diseases remains challenging due to multiple factors, such as limited understanding of disease diversity, similarity in symptoms, and frequent misclassification. To avoid such instances, this study proposes a multimodal deep learning framework that leverages both leaf and fruit images to improve classification performance and generalization. Individual CNN-based pre-trained models, including ResNet-50, MobileNetV2, EfficientNet-B0, and ConvNeXt, were trained separately on curated datasets of mango leaf and fruit diseases. A novel Modality Attention Fusion (MAF) mechanism was introduced to dynamically weight and combine predictions from both modalities based on their discriminative strength, as some diseases are more prominent on leaves than on fruits, and vice versa. To address overfitting and improve generalization, a class-aware augmentation pipeline was integrated, which performs augmentation according to the specific characteristics of each class. The proposed attention-based fusion strategy significantly outperformed individual models and static fusion approaches, achieving a test accuracy of 99.08%, an F1 score of 99.03%, and a perfect ROC-AUC of 99.96% using EfficientNet-B0 as the base. To evaluate the model’s real-world applicability, an interactive web application was developed using the Django framework and evaluated through out-of-distribution (OOD) testing on diverse mango samples collected from public sources. These findings underline the importance of combining visual cues from multiple organs of plants and adapting model attention to contextual features for real-world agricultural diagnostics.
Muhammad Mohsin mail , Muhammad Shadab Alam Hashmi mail , Irene Delgado Noya mail irene.delgado@uneatlantico.es, Helena Garay mail helena.garay@uneatlantico.es, Nagwan Abdel Samee mail , Imran Ashraf mail ,
Mohsin