2 resultados para Education, Language and Literature|Education, Reading|Language, Rhetoric and Composition

em Universidade do Minho


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Este artigo relata uma intervenção pedagógica levada a cabo junto de alunos do 4º ano de escolaridade do Ensino Básico, em Portugal, com dois objetivos: (1) desenvolver competências literácitas, especificamente ao nível da leitura e compreensão leitora; e (2) construir o conhecimento histórico, recorrendo a obras de literatura infanto-juvenil que recriam eventos históricos. O referencial teórico baseou-se quer no conceito de Content Area Literacy (MOSS, 2005; BROZO, 2010), quer no Programa de Leitura Fundamentado na Literatura (YOOP; YOOP, 2006).

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The use of genome-scale metabolic models has been rapidly increasing in fields such as metabolic engineering. An important part of a metabolic model is the biomass equation since this reaction will ultimately determine the predictive capacity of the model in terms of essentiality and flux distributions. Thus, in order to obtain a reliable metabolic model the biomass precursors and their coefficients must be as precise as possible. Ideally, determination of the biomass composition would be performed experimentally, but when no experimental data are available this is established by approximation to closely related organisms. Computational methods however, can extract some information from the genome such as amino acid and nucleotide compositions. The main objectives of this study were to compare the biomass composition of several organisms and to evaluate how biomass precursor coefficients affected the predictability of several genome-scale metabolic models by comparing predictions with experimental data in literature. For that, the biomass macromolecular composition was experimentally determined and the amino acid composition was both experimentally and computationally estimated for several organisms. Sensitivity analysis studies were also performed with the Escherichia coli iAF1260 metabolic model concerning specific growth rates and flux distributions. The results obtained suggest that the macromolecular composition is conserved among related organisms. Contrasting, experimental data for amino acid composition seem to have no similarities for related organisms. It was also observed that the impact of macromolecular composition on specific growth rates and flux distributions is larger than the impact of amino acid composition, even when data from closely related organisms are used.