995 resultados para Exponential models


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Leishmaniasis remains a major public health problem worldwide and is classified as Category I by the TDR/WHO, mainly due to the absence of control. Many experimental models like rodents, dogs and monkeys have been developed, each with specific features, in order to characterize the immune response to Leishmania species, but none reproduces the pathology observed in human disease. Conflicting data may arise in part because different parasite strains or species are being examined, different tissue targets (mice footpad, ear, or base of tail) are being infected, and different numbers (“low” 1×102 and “high” 1×106) of metacyclic promastigotes have been inoculated. Recently, new approaches have been proposed to provide more meaningful data regarding the host response and pathogenesis that parallels human disease. The use of sand fly saliva and low numbers of parasites in experimental infections has led to mimic natural transmission and find new molecules and immune mechanisms which should be considered when designing vaccines and control strategies. Moreover, the use of wild rodents as experimental models has been proposed as a good alternative for studying the host-pathogen relationships and for testing candidate vaccines. To date, using natural reservoirs to study Leishmania infection has been challenging because immunologic reagents for use in wild rodents are lacking. This review discusses the principal immunological findings against Leishmania infection in different animal models highlighting the importance of using experimental conditions similar to natural transmission and reservoir species as experimental models to study the immunopathology of the disease.

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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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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

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Dissertation to obtain master degree in Genética Molecular e Biomedicina

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ABSTRACT: Financing is a critical factor in ensuring the optimal development and delivery of a mental health system. The primary method of financing worldwide is tax-based. However many low income countries depend on out-of-pocket payments. There is a report on Irish Health Care funding but none that deals exclusively with mental health care. This paper analyses the various financial models that exist globally with respect to financing the mental health sector, examines the impact of various models on service users, especially in terms of relative ‘financial burden’ and provides a more detailed examination of the current mental health funding situation in Ireland After extensive internet and hardcopy research on the above topics, the findings were analysed and a number of recommendations were reached. Mental health service should be free at the point of delivery to achieve universal coverage. Government tax-based funding or mandatory social insurance with government top-ups, as required, appears the optimal option, although there is no one funding system applicable everywhere. Out-of-pocket funding can create a crippling financial burden for service users. It is important to employ improved revenue collection systems, eliminate waste, provide equitable resource distribution, ring fence mental health funding and cap the number of visits, where necessary. Political, economic, social and cultural factors play a role in funding decisions and this can be clearly seen in the context of the current economic recession in Ireland. Only 33% of the Irish population has access to free public health care and the number health insurance policy holders has dramatically declined, resulting in increased out-of-pocket payments. This approach risks negatively impacting on the social determinants of health, increasing health inequalities and negatively affecting economic productivity. It is therefore important the Irish government examines other options to provide funding for mental health services.

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Dissertação para obtenção do Grau de Doutor em Engenharia Mecânica

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Dissertação para obtenção do Grau de Doutor em Engenharia Informática

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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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Glaucoma is a multifactorial condition under serious influence of many risk factors. The role of diabetes mellitus (DM) in glaucoma etiology or progression remains inconclusive. Although, the diabetic patients have different healing mechanism comparing to the general population and it has a possible-negative role on surgical outcomes. This review article attempts to analyze the association of both diseases, glaucoma and DM, before and after the surgery. The epidemiological studies, based mainly in population prevalence analyzes, have shown opposite outcomes in time and even in the most recent articles also the association remains inconclusive. On the contrary, the experimental models based on animal induced chronic hyperglycemia have shown an important association of both diseases, explained by common neurodegenerative mechanisms. Diabetic patients have a different wound healing process in the eye viz-a-viz other organs. The healing process is more and it results in lower surgical survival time, higher intraocular pressure (IOP) levels and, therefore, these patients usually need more medication to lower the IOP. Both randomized and nonrandomized retrospective and experimental molecular studies have shown the association between DM and glaucoma. Further studies are needed to get better explanations about outcomes on more recent surgical procedures and with the exponential use of antifibrotics. How to cite this article: Costa L, Cunha JP, Amado D, Pinto LA, Ferreira J. Diabetes Mellitus as a Risk Factor in Glaucoma's Physiopathology and Surgical Survival Time: A Literature Review.

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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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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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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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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.