25 resultados para Classroom Dynamics


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Thesis submitted to the Universidade Nova de Lisboa,Faculdade de Cincias e Tecnologia for the degree of Doctor of Philosophy in Environmental Engineering

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Applied Mathematical Modelling, Vol.33

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Dissertao para obteno do Grau de Mestre em Gentica Molecular e Biomedicina

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Dissertation presented to obtain the Ph.D degree in Biology

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Dissertation presented to obtain the Ph.D degree in Biology

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Trabalho de projecto apresentado para cumprimento dos requisitos necessrios obteno do grau de Mestre em Ensino da Lngua Inglesa

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Dissertao apresentada para cumprimento dos requisitos necessrios obteno do grau de Mestre em Didctica do Ingls,

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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

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Dissertao apresentada como requisito parcial para obteno do grau de Mestre em Estatstica e Gesto de Informao

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA School of Business and Economics

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA School of Business and Economics

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Dissertao apresentada como requisito parcial para obteno do grau de Mestre em Gesto de Informao

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Trabalho de Projecto apresentado para cumprimento dos requisitos necessrios obteno do grau de Mestre em Gesto de Sistemas de E-Learning

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The convergence features of an Endogenous Growth model with Physical capital, Human Capital and R&D have been studied. We add an erosion effect (supported by empirical evidence) to this model, and fully characterize its convergence properties. The dynamics is described by a fourth-order system of differential equations. We show that the model converges along a one-dimensional stable manifold and that its equilibrium is saddle-path stable. We also argue that one of the implications of considering this erosion effect is the increase in the adherence of the model to data.