63 resultados para Diagram efforts


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Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Engenharia Clínica)

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Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e Computadores

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Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e de Computadores

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Dissertação de mestrado em Engenharia e Gestão da Qualidade

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Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de Informação

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Dissertação de mestrado integrado em Engenharia de Gestão e Sistemas de Informação

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Tese de Doutoramento em Biologia de Plantas

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Dissertação de mestrado integrado em Engenharia Civil

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Tese de Doutoramento em Engenharia Química e Biológica.

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(Excerto) Partant d'une perspective comparative de plusieurs recherches realisees en ltalie au cours des demieres annees sur les mineurs et Ia television, Elisa Manna, de Ia Fondation Censis souligne le besoin pour Ia recherche de rompre avec les hyperspecialisations academiques. Elle propose des pistes de comparaisons et de confrontations de methodes, de techniques et de resultats, sans jamais perdre de vue les recherches empiriques sur le terrain. II est impensable aujourd'hui, souligne Elisa Manna, de continuer a separer, d'un cote le monde institutionnel de Ia culture qui, prive des outils de connaissance necessaires, serait oblige d'agir a l'aveuglette, et d'autre part celui de Ia recherche academique et privee, fragmentee, divisee et frustree par l'impossibilite de faire valoir ses efforts d 'un point de vue operationnel.

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Mathematical and computational models play an essential role in understanding the cellular metabolism. They are used as platforms to integrate current knowledge on a biological system and to systematically test and predict the effect of manipulations to such systems. The recent advances in genome sequencing techniques have facilitated the reconstruction of genome-scale metabolic networks for a wide variety of organisms from microbes to human cells. These models have been successfully used in multiple biotechnological applications. Despite these advancements, modeling cellular metabolism still presents many challenges. The aim of this Research Topic is not only to expose and consolidate the state-of-the-art in metabolic modeling approaches, but also to push this frontier beyond the current edge through the introduction of innovative solutions. The articles presented in this e-book address some of the main challenges in the field, including the integration of different modeling formalisms, the integration of heterogeneous data sources into metabolic models, explicit representation of other biological processes during phenotype simulation, and standardization efforts in the representation of metabolic models and simulation results.

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The aim of this study was to determine if mycobacterial lineages affect infection risk, clustering, and disease progression among Mycobacterium tuberculosis cases in The Netherlands. Multivariate negative binomial regression models adjusted for patient-related factors and stratified by patient ethnicity were used to determine the association between phylogenetic lineages and infectivity (mean number of positive contacts around each patient) and clustering (as defined by number of secondary cases within 2 years after diagnosis of an index case sharing the same fingerprint) indices. An estimate of progression to disease by each risk factor was calculated as a bootstrapped risk ratio of the clustering index by the infectivity index. Compared to the Euro-American reference, Mycobacterium africanum showed significantly lower infectivity and clustering indices in the foreign-born population, while Mycobacterium bovis showed significantly lower infectivity and clustering indices in the native population. Significantly lower infectivity was also observed for the East African Indian lineage in the foreign-born population. Smear positivity was a significant risk factor for increased infectivity and increased clustering. Estimates of progression to disease were significantly associated with age, sputum-smear status, and behavioral risk factors, such as alcohol and intravenous drug abuse, but not with phylogenetic lineages. In conclusion, we found evidence of a bacteriological factor influencing indicators of a strain's transmissibility, namely, a decreased ability to infect and a lower clustering index in ancient phylogenetic lineages compared to their modern counterparts. Confirmation of these findings via follow-up studies using tuberculin skin test conversion data should have important implications on M. tuberculosis control efforts.