6 resultados para common factor models

em RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal


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Field lab: Business project

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Dissertation to obtain the degree of Doctor in Electrical and Computer Engineering, specialization of Collaborative Networks

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Dissertation presented to obtain the degree of Doctor in Electrical and Computer Engineering, specialization on Collaborative Enterprise Networks

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RESUMO: A retina é composta, entre outras estruturas, pelo epitélio pigmentar da retina (EPR)e pela coróide. A região central da retina denomina-se mácula, e é a zona mais afetada na degenerescência macular relacionada com a idade, a forma mais comum de degenerescência da retina. Nesta doença, a secreção de fatores de crescimento pelo EPR é afetada, nomeadamente a do fator de crescimento vascular endotelial (VEGF), e pouco se sabe ainda sobre os mecanismos moleculares conducentes a esta condição. A família de proteínas Rab GTPases está envolvida nas vias intracelulares de sinalização e tráfego membranares, essenciais na transdução de sinais extracelulares em respostas biológicas. A sua crucial importância nestes mecanismos levou-nos a considerar o seu potencial envolvimento nas vias de secreção do VEGF, e a questionar-nos se teriam algum papel regulador sobre as mesmas. O principal objetivo deste trabalho é identificar Rab GTPases importantes para as vias de secreção e endocitose do VEGF no EPR. Essa identificação ajudará a esclarecer a patogénese da degenerescência macular da retina, e poderá servir para uma procura mais direcionada de novos agentes terapêuticos. A caracterização de dois modelos in vitro do EPR, células primárias isoladas de murganho e a linha celular B6-RPE07,levou-nos a concluir que são ambos semelhantes. Contudo, a linha celular foi escolhida como protótipo do EPR por permitir o acesso a um número ilimitado de células. No decurso deste trabalho, desenvolvemos e caracterizámos uma biblioteca de ferramentas moleculares que nos permitiram reduzir os níveis proteicos das proteínas Rab GTPases, com base na tecnologia de ácido ribonucleico (ARN) de interferência. O papel das proteínas Rab GTPases na secreção do VEGF no EPR foi estudado com base no silenciamento de apenas uma proteína, ou combinando várias, segundo a sua localização e funções intracelulares descritas. Este trabalho permitiu-nos concluir que as proteínas Rab GTPases são importantes intervenientes no processo de secreção de VEGF pelo EPR, e confirmar dados anteriores que relatam o envolvimento de algumas Rab GTPases endocíticas no processo. Propomos ainda um novo modelo para a interação destas proteínas no EPR, e sugerimos que a Rab10 e a Rab14 atuam negativamente sobre a Rab8, controlando o seu funcionamento. Os nossos resultados evidenciam a importância das proteínas Rab GTPases na secreção do VEGF pelas células do EPR, e servem de base a futuros estudos que melhor procurem compreender este mecanismo e de que modo a sua alteração se relaciona com a degenerescência da retina.--------ABSTRACT: Retinal pigment epithelium (RPE) and choroid are components of the mammalian retina, of which the central region is called macula. The most common form of retinaldegeneration, age-related macular degeneration (AMD), involves primarily deregulation of growth factors secretion by the RPE. Very little is known about the molecular mechanisms that lead to impairment of RPE’s homeostatic intracellular processes, namely the secretion of vascular endothelial growth factor (VEGF). Rab GTPases’ family regulates membrane targeting and traffic, being essential in the transduction of signal pathways. Given Rab proteins’ role in intracellular trafficking, we propose to identify key regulatory Rab proteins involved in either the secretory or the recycling pathways of VEGF in RPE. Understanding how Rab proteins’ function disruption could lead to retinal and choroidal pathology would ultimately contribute to find new therapeutic agents. Here, we characterized two mouse RPE in vitro cell models, primary cells and B6-RPE07 cell line, and concluded that both display important epithelial features as the RPE presents in vivo. Considering unlimited cell number and results reproducibility, we chose B6-RPE07 cells to further study Rab proteins’ function. To scrutinize the consequences of Rab proteins’ absence or diminished levels, we have developed novel molecular tools to achieve silencing of these key proteins using miRNA technology. We further addressed the effect of Rab proteins’ absence on VEGF secretion by performing an extensive screening where different Rab proteins were silenced, both individually and in multiple combinations considering their cellular/ compartment location. We conclude that Rab GTPases are important intervenients in VEGF secretion by RPE cells, confirming endocytic Rab proteins’ role in regulation of VEGF biology. We also propose a novel model for Rab proteins’ interaction in RPE. Our results suggest that Rab10 and Rab14 might influence Rab8 in a negative feedback mechanism, important for controlling VEGF secretion. Our achievements’ unravel Rab proteins’ role in VEGF secretion by RPE cells and are the basis for future studies to better understand RPE molecular secretory machinery.

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Enhanced biological phosphorus removal (EBPR) is the most economic and sustainable option used in wastewater treatment plants (WWTPs) for phosphorus removal. In this process it is important to control the competition between polyphosphate accumulating organisms (PAOs) and glycogen accumulating organisms (GAOs), since EBPR deterioration or failure can be related with the proliferation of GAOs over PAOs. This thesis is focused on the effect of operational conditions (volatile fatty acid (VFA) composition, dissolved oxygen (DO) concentration and organic carbon loading) on PAO and GAO metabolism. The knowledge about the effect of these operational conditions on EBPR metabolism is very important, since they represent key factors that impact WWTPs performance and sustainability. Substrate competition between the anaerobic uptake of acetate and propionate (the main VFAs present in WWTPs) was shown in this work to be a relevant factor affecting PAO metabolism, and a metabolic model was developed that successfully describes this effect. Interestingly, the aerobic metabolism of PAOs was not affected by different VFA compositions, since the aerobic kinetic parameters for phosphorus uptake, polyhydroxyalkanoates (PHAs) degradation and glycogen production were relatively independent of acetate or propionate concentration. This is very relevant for WWTPs, since it will simplify the calibration procedure for metabolic models, facilitating their use for full-scale systems. The DO concentration and aerobic hydraulic retention time (HRT) affected the PAO-GAO competition, where low DO levels or lower aerobic HRT was more favourable for PAOs than GAOs. Indeed, the oxygen affinity coefficient was significantly higher for GAOs than PAOs, showing that PAOs were far superior at scavenging for the often limited oxygen levels in WWTPs. The operation of WWTPs with low aeration is of high importance for full-scale systems, since it decreases the energetic costs and can potentially improve WWTP sustainability. Extended periods of low organic carbon load, which are the most common conditions that exist in full-scale WWTPs, also had an impact on PAO and GAO activity. GAOs exhibited a substantially higher biomass decay rate as compared to PAOs under these conditions, which revealed a higher survival capacity for PAOs, representing an advantage for PAOs in EBPR processes. This superior survival capacity of PAOs under conditions more closely resembling a full-scale environment was linked with their ability to maintain a residual level of PHA reserves for longer than GAOs, providing them with an effective energy source for aerobic maintenance processes. Overall, this work shows that each of these key operational conditions play an important role in the PAO-GAO competition and should be considered in WWTP models in order to improve EBPR processes.

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This paper develops the model of Bicego, Grosso, and Otranto (2008) and applies Hidden Markov Models to predict market direction. The paper draws an analogy between financial markets and speech recognition, seeking inspiration from the latter to solve common issues in quantitative investing. Whereas previous works focus mostly on very complex modifications of the original hidden markov model algorithm, the current paper provides an innovative methodology by drawing inspiration from thoroughly tested, yet simple, speech recognition methodologies. By grouping returns into sequences, Hidden Markov Models can then predict market direction the same way they are used to identify phonemes in speech recognition. The model proves highly successful in identifying market direction but fails to consistently identify whether a trend is in place. All in all, the current paper seeks to bridge the gap between speech recognition and quantitative finance and, even though the model is not fully successful, several refinements are suggested and the room for improvement is significant.