Diseño del programa de educación ambiental orientado al manejo apropiado de los residuos sólidos de San Antonio de Guerra con aplicación tanto a la educación formal como informa
Tesis Materias > Educación Universidad Internacional Iberoamericana Puerto Rico > Docencia > Trabajos finales de Máster Cerrado Español La Educación Ambiental es el pilar fundamental para orientar a las nuevas generaciones a proteger los recursos ambientales y vivir en armonía con el ambiente. Los seres humanos para cubrir nuestras necesidades básicas producimos residuos sólidos, por su manejo inapropiado es uno de los principales problemas ambientales por lo que es de necesidad generar alternativas, se planteó dentro del objetivos generales diseñar un programa de educación ambiental orientada al manejo apropiado de los residuos sólidos de San Antonio de Guerra y que se aplique tanto en la educación formal como informal. Se empleó el método cualitativo-cuantitativo (mixto), con un diseño descriptivo y un corte transversal, se utilizó la recolección de datos, a través de examen, entrevista y grupos focales. Los resultados demostraron fueron responsable de proyectar las conclusiones a las cuales se llegó en la investigación, por lo que se concluyó según el objetivo general, en esta tesis se diseño un programa de educación ambiental con un enfoque positivo orientado al manejo apropiado de desechos sólidos de San Antonio Guerra, con aplicación tanto a la educación formal como informal, de acuerdo a los resultado obtenido de los grupos focales y la entrevista semiestructurada, en donde estas brinda estrategias de mejoraras, por lo que se arribó a proponer programas formativos de capacitación la cual es una posible solución a esta problemática, contribuye con una estrategia de mejoras para el cambio de paradigma. metadata Guillén Payano, Luz Belkis mail luzbelkisguillenpayano@hotmail.com (2022) Diseño del programa de educación ambiental orientado al manejo apropiado de los residuos sólidos de San Antonio de Guerra con aplicación tanto a la educación formal como informa. Masters thesis, Universidad Internacional Iberoamericana Puerto Rico.
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La Educación Ambiental es el pilar fundamental para orientar a las nuevas generaciones a proteger los recursos ambientales y vivir en armonía con el ambiente. Los seres humanos para cubrir nuestras necesidades básicas producimos residuos sólidos, por su manejo inapropiado es uno de los principales problemas ambientales por lo que es de necesidad generar alternativas, se planteó dentro del objetivos generales diseñar un programa de educación ambiental orientada al manejo apropiado de los residuos sólidos de San Antonio de Guerra y que se aplique tanto en la educación formal como informal. Se empleó el método cualitativo-cuantitativo (mixto), con un diseño descriptivo y un corte transversal, se utilizó la recolección de datos, a través de examen, entrevista y grupos focales. Los resultados demostraron fueron responsable de proyectar las conclusiones a las cuales se llegó en la investigación, por lo que se concluyó según el objetivo general, en esta tesis se diseño un programa de educación ambiental con un enfoque positivo orientado al manejo apropiado de desechos sólidos de San Antonio Guerra, con aplicación tanto a la educación formal como informal, de acuerdo a los resultado obtenido de los grupos focales y la entrevista semiestructurada, en donde estas brinda estrategias de mejoraras, por lo que se arribó a proponer programas formativos de capacitación la cual es una posible solución a esta problemática, contribuye con una estrategia de mejoras para el cambio de paradigma.
| Tipo de Documento: | Tesis (Masters) |
|---|---|
| Palabras Clave: | Educación, Ambiente, Desarrollo, Residuos Sólidos y Reciclar. |
| Clasificación temática: | Materias > Educación |
| Divisiones: | Universidad Internacional Iberoamericana Puerto Rico > Docencia > Trabajos finales de Máster |
| Depositado: | 31 Oct 2023 23:30 |
| Ultima Modificación: | 31 Oct 2023 23:30 |
| URI: | https://repositorio.unib.org/id/eprint/1504 |
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Carotenoids Intake and Cardiovascular Prevention: A Systematic Review
Background: Cardiovascular diseases (CVDs) encompass a variety of conditions that affect the heart and blood vessels. Carotenoids, a group of fat-soluble organic pigments synthesized by plants, fungi, algae, and some bacteria, may have a beneficial effect in reducing cardiovascular disease (CVD) risk. This study aims to examine and synthesize current research on the relationship between carotenoids and CVDs. Methods: A systematic review was conducted using MEDLINE and the Cochrane Library to identify relevant studies on the efficacy of carotenoid supplementation for CVD prevention. Interventional analytical studies (randomized and non-randomized clinical trials) published in English from January 2011 to February 2024 were included. Results: A total of 38 studies were included in the qualitative analysis. Of these, 17 epidemiological studies assessed the relationship between carotenoids and CVDs, 9 examined the effect of carotenoid supplementation, and 12 evaluated dietary interventions. Conclusions: Elevated serum carotenoid levels are associated with reduced CVD risk factors and inflammatory markers. Increasing the consumption of carotenoid-rich foods appears to be more effective than supplementation, though the specific effects of individual carotenoids on CVD risk remain uncertain.
Sandra Sumalla Cano mail sandra.sumalla@uneatlantico.es, Imanol Eguren García mail imanol.eguren@uneatlantico.es, Álvaro Lasarte García mail , Thomas Prola mail thomas.prola@uneatlantico.es, Raquel Martínez Díaz mail raquel.martinez@uneatlantico.es, Iñaki Elío Pascual mail inaki.elio@uneatlantico.es,
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The evolution of the COVID-19 pandemic has been associated with variations in clinical presentation and severity. Similarly, prediction scores may suffer changes in their diagnostic accuracy. The aim of this study was to test the 30-day mortality predictive validity of the 4C and SEIMC scores during the sixth wave of the pandemic and to compare them with those of validation studies. This was a longitudinal retrospective observational study. COVID-19 patients who were admitted to the Emergency Department of a Spanish hospital from December 15, 2021, to January 31, 2022, were selected. A side-by-side comparison with the pivotal validation studies was subsequently performed. The main measures were 30-day mortality and the 4C and SEIMC scores. A total of 27,614 patients were considered in the study, including 22,361 from the 4C, 4,627 from the SEIMC and 626 from our hospital. The 30-day mortality rate was significantly lower than that reported in the validation studies. The AUCs were 0.931 (95% CI: 0.90–0.95) for 4C and 0.903 (95% CI: 086–0.93) for SEIMC, which were significantly greater than those obtained in the first wave. Despite the changes that have occurred during the coronavirus disease 2019 (COVID-19) pandemic, with a reduction in lethality, scorecard systems are currently still useful tools for detecting patients with poor disease risk, with better prognostic capacity.
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Diabetes is a persistent health condition led by insufficient use or inappropriate use of insulin in the body. If left undetected, it can lead to further complications involving organ damage such as heart, lungs, and eyes. Timely detection of diabetes helps obtain the right medication, diet, and exercise plan to lead a healthy life. ML approach has been utilized to obtain rapid and reliable diabetes detection, however, existing approaches suffer from the use of limited datasets, lack of generalizability, and lower accuracy. This study proposes a novel feature extraction approach to overcome these limitations by using an ensemble of convolutional neural network (CNN) and long short-term memory (LSTM) models. Multiple datasets are combined to make a larger dataset for experiments and multiple features are utilized for investigating the efficacy of the proposed approach. Features from the extra tree classifier, CNN, and LSTM are also considered for comparison. Experimental results reveal the superb performance of CNN-LSTM-based features with random forest model obtaining a 0.99 accuracy score. This performance is further validated by comparison with existing approaches and k-fold cross-validation which shows the proposed approach provides robust results.
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Background: The 2023 dengue outbreak has proven that dengue is not only an endemic disease but also an emerging health threat in Bangladesh. Integrated studies on the epidemiology, clinical characteristics, seasonality, and genotype of dengue are limited. This study was conducted to determine recent trends in the molecular epidemiology, clinical features, and seasonality of dengue outbreaks. Methods: We analyzed data from 41 original studies, extracting epidemiological information from all 41 articles, clinical symptoms from 30 articles, and genotypic diversity from 11 articles. The study adhered to the standards of the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) Statement and Cochrane Collaboration guidelines. Conclusion: This study provides integrated insights into the molecular epidemiology, clinical features, seasonality, and transmission of dengue in Bangladesh and highlights research gaps for future studies.
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