8 resultados para María Magdalena , Santa-Biografías

em Universidade do Minho


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In this study, the metabolomics characterization focusing on the carotenoid composition of ten cassava (Manihot esculenta) genotypes cultivated in southern Brazil by UV-visible scanning spectrophotometry and reverse phase-high performance liquid chromatography was performed. Cassava roots rich in -carotene are an important staple food for populations with risk of vitamin A deficiency. Cassava genotypes with high pro-vitamin A activity have been identified as a strategy to reduce the prevalence of deficiency of this vitamin. The data set was used for the construction of a descriptive model by chemometric analysis. The genotypes of yellow-fleshed roots were clustered by the higher concentrations of cis--carotene and lutein. Inversely, cream-fleshed roots genotypes were grouped precisely due to their lower concentrations of these pigments, as samples rich in lycopene (redfleshed) differed among the studied genotypes. The analytical approach (UV-Vis, HPLC, and chemometrics) used showed to be efficient for understanding the chemodiversity of cassava genotypes, allowing to classify them according to important features for human health and nutrition.

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Dissertação de mestrado integrado em Arquitectura

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The chemical composition of propolis is affected by environmental factors and harvest season, making it difficult to standardize its extracts for medicinal usage. By detecting a typical chemical profile associated with propolis from a specific production region or season, certain types of propolis may be used to obtain a specific pharmacological activity. In this study, propolis from three agroecological regions (plain, plateau, and highlands) from southern Brazil, collected over the four seasons of 2010, were investigated through a novel NMR-based metabolomics data analysis workflow. Chemometrics and machine learning algorithms (PLS-DA and RF), including methods to estimate variable importance in classification, were used in this study. The machine learning and feature selection methods permitted construction of models for propolis sample classification with high accuracy (>75%, reaching 90% in the best case), better discriminating samples regarding their collection seasons comparatively to the harvest regions. PLS-DA and RF allowed the identification of biomarkers for sample discrimination, expanding the set of discriminating features and adding relevant information for the identification of the class-determining metabolites. The NMR-based metabolomics analytical platform, coupled to bioinformatic tools, allowed characterization and classification of Brazilian propolis samples regarding the metabolite signature of important compounds, i.e., chemical fingerprint, harvest seasons, and production regions.

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Dissertação de mestrado integrado em Engenharia Civil

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Neste artigo estuda-se a realização de alunos futuros educadores e professores dos primeiros anos de escolaridade na comparação de probabilidades de acontecimentos em diferentes contextos sociais, formulados de forma explícita e implícita, tendo em vista averiguar a influência do nível de explicitação na comparação de probabilidades. Participaram no estudo 51 alunos futuros educadores e professores dos primeiros anos de escolaridade, que responderam a um questionário contendo duas questões, com vários itens envolvendo a comparação de probabilidades de acontecimentos formulados explícita e implicitamente. Em termos de resultados, globalmente, verificou-se que os itens formulados implicitamente se revelaram mais difíceis para os alunos do que os itens formulados explicitamente.

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Dissertação de mestrado em Sociologia (área de especialização em Organizações e Trabalho)

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Relatório de estágio de mestrado em Sociologia (área de Especialização em Organizações e Trabalho)