30 resultados para Comprometimento com a carreira
em Universidade do Minho
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Dissertação de mestrado integrado em Psicologia
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Tese de doutoramento em Estudos da Criança (área de especialização em Formação de Professores).
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Publicado em "Tempos sociais e o mundo contemporâneo - as crises, as fases e as ruturas". ISBN 978-989-8600-23-3
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Imaging techniques are the standard method for assessment of fracture healing processes. However, these methods are perhaps not entirely reliable for early detection of complications, the most frequent of these being delayed union and non-union. A prompt diagnosis of such disorders could prevent prolonged patient distress and disability. Efforts should be directed towards the development of new technologies for improving accuracy in diagnosing complications following bone fractures. The variation in the levels of bone turnover markers (BTMs) have been assessed with regard to there ability to predict impaired fracture healing at an early stage, nevertheless the conclusions of some studies are not consensual. In this article the authors have revised the potential of BTMs as early predictors of prognosis in adult patients presenting traumatic bone fractures but who did not suffer from osteopenia or postmenopausal osteoporosis. The available information from the different studies performed in this field was systematized in order to highlight the most promising BTMs for the assessment of fracture healing outcome.
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Dissertação de mestrado em Educação Especial (área de especialização em Dificuldades de Aprendizagem Específicas)
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Dissertação de mestrado em Bioinformática
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Relatório de atividade profissional de mestrado em Ensino de Educação Física nos Ensinos Básico e Secundário
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Dissertação de mestrado em Contabilidade
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Dissertação de mestrado em Engenharia Industrial
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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 em Ciências - Formação Contínua de Professores (área de especialização em Biologia e Geologia)
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Dissertação de mestrado em Ciências - Formação Contínua de Professores (área de especialização em Biologia e Geologia)
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Tese de doutoramento em Ciências da Educação (Área Especialidade em Psicologia da Educação)
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Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação
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Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação