Metodologia de ensino e aprendizagem na Escola Superior Politécnica do Cuando Cubango: utilizando a Computação Pervasiva no curso de Informática para Gestão
Tesis Materias > Educación Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales Cerrado Portugués A presente pesquisa aborda sobre a metodologia de ensino e aprendizagem naEscola Superior Politécnica do Cuando Cubango: uma possibilidade de uso datecnologia da computação pervasiva, uma tecnologia transparente ao discente,mas presente no curso de Licenciatura em Informática para Gestão. O seuobjetivo primário é de propor método de ensino e aprendizagem utilizando acomputação pervasiva na Escola Superior Politécnica do Cuando Cubango nocurso de Informática para Gestão. A pesquisa possui caráter quali-quantitativodo tipo transacional, baseado nos instrumentos de recolha de dados:questionário fechado, observação direta e análise documental. Os dados foramcoletados em fontes bibliográficas de diversas naturezas, assim foi realizado umestudo de campo comparativo aos estudantes, durante a implementação dainfraestrutura tecnológica. Com a implementação da tecnologia, observamosmelhorias no processo de ensino e de aprendizagem e cognitivo dos estudantes,ao mesmo tempo que um menor consumo de recursos físicos, um maiormonitoramento e partilha de informação, uma maior capacidade de resposta epesquisa, maior uso das ferramentas tecnológicas e melhor perceção daaprendizagem. Foi necessário avaliar os discentes que foram submetidos àcomputação pervasiva, se é possível haver ensino e aprendizagem, utilizando ainfraestrutura tecnológica da computação pervasiva. A análise foi realizadaatravés de técnicas estatísticas e exploratórias multivariadas, projetadas paraidentificar modelos de avaliação das variáveis e o comportamento dos discentesface a implementação da tecnologia da computação pervasiva. Finda apesquisa, concluimos que, com a implementação da tecnologia da computaçãopervasiva, foi possível propor o método de ensino e aprendizagem na EscolaSuperior Politécnica do Cuando Cubango, no curso de Licenciatura emInformática para Gestão. metadata Quissanga, Fernando Cassinda mail fernandoquissanga@hotmail.com (2022) Metodologia de ensino e aprendizagem na Escola Superior Politécnica do Cuando Cubango: utilizando a Computação Pervasiva no curso de Informática para Gestão. Doctoral thesis, SIN ESPECIFICAR.
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A presente pesquisa aborda sobre a metodologia de ensino e aprendizagem naEscola Superior Politécnica do Cuando Cubango: uma possibilidade de uso datecnologia da computação pervasiva, uma tecnologia transparente ao discente,mas presente no curso de Licenciatura em Informática para Gestão. O seuobjetivo primário é de propor método de ensino e aprendizagem utilizando acomputação pervasiva na Escola Superior Politécnica do Cuando Cubango nocurso de Informática para Gestão. A pesquisa possui caráter quali-quantitativodo tipo transacional, baseado nos instrumentos de recolha de dados:questionário fechado, observação direta e análise documental. Os dados foramcoletados em fontes bibliográficas de diversas naturezas, assim foi realizado umestudo de campo comparativo aos estudantes, durante a implementação dainfraestrutura tecnológica. Com a implementação da tecnologia, observamosmelhorias no processo de ensino e de aprendizagem e cognitivo dos estudantes,ao mesmo tempo que um menor consumo de recursos físicos, um maiormonitoramento e partilha de informação, uma maior capacidade de resposta epesquisa, maior uso das ferramentas tecnológicas e melhor perceção daaprendizagem. Foi necessário avaliar os discentes que foram submetidos àcomputação pervasiva, se é possível haver ensino e aprendizagem, utilizando ainfraestrutura tecnológica da computação pervasiva. A análise foi realizadaatravés de técnicas estatísticas e exploratórias multivariadas, projetadas paraidentificar modelos de avaliação das variáveis e o comportamento dos discentesface a implementação da tecnologia da computação pervasiva. Finda apesquisa, concluimos que, com a implementação da tecnologia da computaçãopervasiva, foi possível propor o método de ensino e aprendizagem na EscolaSuperior Politécnica do Cuando Cubango, no curso de Licenciatura emInformática para Gestão.
| Tipo de Documento: | Tesis (Doctoral) |
|---|---|
| Palabras Clave: | Computação pervasiva, Ensino e aprendizagem, as TIC`s na educação, Informática para Gestão, Infraestrutura tecnológica |
| Clasificación temática: | Materias > Educación |
| Divisiones: | Universidad Internacional Iberoamericana México > Investigación > Tesis Doctorales |
| Depositado: | 21 Sep 2023 23:30 |
| Ultima Modificación: | 21 Sep 2023 23:30 |
| URI: | https://repositorio.unini.edu.mx/id/eprint/825 |
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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.
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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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Assessment of side effects associated with COVID-19 vaccination is required to monitor safety issues and acceptance of vaccines in the long term. We found a significant knowledge gap in the safety profile of COVID-19 vaccines in Bangladesh. We enrolled 1805 vaccine recipients from May 5, 2021, to April 4, 2023. Kruskal-Wallis test and χ2 test were performed. Multivariable logistic regression was also performed. First, second and third doses were administered among 1805, 1341, and 923 participants, respectively. Oxford–AstraZeneca (2946 doses) was the highest administered followed by Sinopharm BIBP (551 doses), Sinovac (214 doses), Pfizer-BioNTech (198 doses), and Moderna (160 doses), respectively. Pain at the injection site (80-90%, 3200–3600), swelling (85%, 3458), redness (78%, 3168), and heaviness in hand (65%, 2645) were the most common local effects, and fever (85%, 3458), headache (82%, 3336), myalgia (70%, 2848), chills (67%, 2726), muscle pain (60%, 2441) were the most prevalent systemic side effects reported within 48 h of vaccination. Thrombosis was only reported among the Oxford–AstraZeneca recipients (3.5-5.7%). Both local and systemic effects were significantly associated with the Oxford–AstraZeneca (p-value < 0.05), Pfizer–BioNTech (p-value < 0.05), and Moderna (p-value < 0.05) vaccination. Chronic urticaria and psoriasis were reported by 55-60% of the recipients after six months or later. The highest percentage of local and systemic effects after 2nd and 3rd dose were found among recipients of Moderna followed by Pfizer-BioNTech and Oxford–AstraZeneca. Homogenous doses of Oxford–AstraZeneca and heterogenous doses of Moderna and Pfizer-BioNTech were significantly associated with elevated adverse effects. Females, aged above 60 years with preexisting health conditions had higher risks. Vaccination with Pfizer-BioNTech (OR 4.34, 95% CI 3.95–4.58) had the highest odds of severe and long-term effects followed by Moderna (OR 4.15, 95% CI 3.92–4.69) and Oxford–AstraZeneca (OR 3.89, 95% CI 3.45–4.06), respectively. This study will provide an integrated insight into the safety profile of COVID-19 vaccines.
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