127 resultados para Exponential financial models


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We would like to thank Philipp Schwarz and Julia Gückel for their dedicated support in preparing this paper and our colleagues and students of the School of Engineering and the Business School for our fruitful discussions.

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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 Finance from the NOVA – School of Business and Economics

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RESUMO: A Legionella é um bacilo Gram-negativo que replica dentro de protozoários como Acanthamoeba castellanii (A. castellanii) e no interior de macrófagos alveolares humanos, podendo resultar numa pneumonia grave. A Legionella em meio líquido tem um ciclo de vida bifásico, apresentando traços replicativos na fase exponencial e expressando factores transmissíveis na fase estacionária. Estudos recentes demonstraram que a Legionella precisa de assegurar um tempo preciso no seu ciclo de vida para efectuar com êxito a infecção das células hospedeiras. Muitos modelos de estudo foram desenvolvidos a fim de aumentar o conhecimento sobre o ciclo de vida intracelular e identificar os genes necessários para a modulação da célula hospedeira. Embora o conhecimento sobre a interacção bactéria-hospedeiro ainda seja limitado, parece que esta interacção gera um conjunto de características de virulência permitindo que a bactéria infecte células fagocíticas humanas e cause doença. O objectivo do presente projecto de investigação foi investigar e seleccionar genes críticos para a infecciosidade da Legionella pneumophila estirpe Paris (Lp Paris), desenhar e optimizar uma técnica de PCR em tempo real para o estudo da expressão génica e comparar o perfil de expressão da Lp Paris antes e depois da co-cultura em A. castellanii. Os resultados mostraram que oito dos 12 genes em estudo alteraram a sua expressão relativa após co-cultura em A. castellanii quando os ensaios foram realizados com culturas de Lp Paris na fase estacionária precoce (cinco foram induzidos e três reprimidos) Quando os ensaios foram realizados com culturas de Lp Paris na fase estacionária tardia 11 genes apresentaram repressão na sua expressão relativa. Analisando os resultados, concluímos que o perfil de expressão de Lp Paris foi modificado pela interacção com A. castellanii, no entanto essa mudança foi dependente da fase do seu ciclo de vida.-------ABSTRACT: Legionella is a pathogenic Gram-negative bacterium that replicates not only within aquatic protozoa like Acanthamoeba castellanii (A. castellanii), but also within human alveolar macrophages, which can result in a severe pneumonia. Legionella has a biphasic life cycle in broth, where exponential phase cultures display replicative traits and stationary bacteria express transmissive factors. Recent studies demonstrated that for successful infection of host cells, Legionella needs to ensure a precise timing of its life cycle. Many models of study were developed in order to learn about the intracellular life cycle and to identify the genes necessary for the host cell modulation. Although knowledge about the bacteria-host interaction is still limited, it appears that this interaction generate a pool of virulence traits, allowing the bacterium to infect human phagocytic cells and cause disease. The purpose of the present study was to investigate and select de critical genes for the infectivity of Legionella pneumophila strain Paris (Lp Paris), design and optimize a real time PCR technique for gene expression study and compare the expression profile of Lp Paris before and after co- culture of A. castellanii. The results show that eight of 12 genes in study changed its relative expression after coculture in A. castellanii when we performed the intracellular assays with early stationary phase Lp Paris cultures (five were induced and tree were repressed). When we performed the intracellular assays with late stationary phase Lp Paris cultures 11 genes showed a repressed relative expression. Analysing the results, we conclude that the expression profile of Lp Paris was modified by interaction with A. castellanii but this change was dependent of the timing of its life cycle.

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Dissertation to obtain master degree in Biotechnology

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática

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The continued increase in availability of economic data in recent years and, more importantly, the possibility to construct larger frequency time series, have fostered the use (and development) of statistical and econometric techniques to treat them more accurately. This paper presents an exposition of structural time series models by which a time series can be decomposed as the sum of a trend, seasonal and irregular components. In addition to a detailled analysis of univariate speci fications we also address the SUTSE multivariate case and the issue of cointegration. Finally, the recursive estimation and smoothing by means of the Kalman filter algorithm is described taking into account its different stages, from initialisation to parameter s estimation.

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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 Finance 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 Management from the NOVA – School of Business and Economics

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A PhD Dissertation, presented as part of the requirements for the Degree of Doctor of Philosophy from the NOVA - School of Business and Economics

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A PhD Dissertation, presented as part of the requirements for the Degree of Doctor of Philosophy from the NOVA - School of Business and Economics

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A PhD Dissertation, presented as part of the requirements for the Degree of Doctor of Philosophy from the NOVA - School of Business and Economics

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A Masters Thesis, presented as part of the requirements for the award of a Research Masters Degree in Economics from NOVA – School of Business and Economics

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática