927 resultados para Elementary shortest path with resource constraints


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For the past decade, numerous imaging techniques gave rise to remarka-ble progresses in the understanding of brain’s structure and function. Amongst the wide variety of studies onto the field of neuroscience, neuropsychiatric re-searches with resource to neuroimaging have attracted increasing attention. The present study will focus on the identification of brain areas recruited while normative subjects read sentences related to past/present or future wor-ries. Our main aim was to accurately characterize these brain areas while providing them with a time-stamp that would hopefully help us understand the implications of past/present memories and future envisioning in worrying episodes. With that purpose, functional magnetic resonance imaging data was collected from ten healthy individuals. The obtained data was processed and statistically treated using the General Linear Model and both Fixed and Ran-dom Effects Analysis for group-level results. Thereafter, a Multi-Voxel Pattern Analysis with Searchlight Mapping was performed in order to find patterns of activation that allow differentiation between conditions. The obtained results indicate higher brain activation while reading sen-tences related to past/present worries when compared to future worry or neu-tral sentences. The main areas include frontal cortex, posterior parietal, occipital and temporal areas. Worrying, per se, was characterized by activation of the medial posterior parietal cortex, left posterior occipital lobe and left central temporal lobe. With the searchlight mapping approach we were able to further identify patterns of distinction between conditions, which were located in the parietal, limbic and frontal lobes.

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Tese de Doutoramento em Engenharia Industrial e de Sistemas (PDEIS)

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The importance of implementing sustainable practices in buildings is duly proved and understood by the majority of the population. However, its implementation is not yet a reality. Some studies have been performed with the goal of understand this lack of use of sustainable solutions, among building sector stakeholders. The conclusion is that one of the main factors contributing to this is related with economic constraints. Several studies have proven that many sustainable practices correspond to minor costs than traditional practices in a life cycle perspective. However, the building sector stakeholders are not aware of this and do not implement sustainable practices commonly. In this paper a costâ benefit methodology willing to cross this barrier and promote the sustainable practices implementation is presented.

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Tese de Doutoramento em Estudos da Criança (área de especialização em Educação Musical).

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Tese de Doutoramento Ciência e Engenharia de Polímeros e Compósitos.

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Dissertação de mestrado integrado em Engenharia e Gestão Industrial

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Dissertação de mestrado em Tecnologias de Manufatura

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Com o intuito de contribuir para a qualificação do ensino escolar da Química na República de Angola, a presente investigação analisou as caraterísticas do Conhecimento Didático do Conteúdo e a Qualidade de Ensino dos professores considerados peritos naquela área disciplinar. A questão de partida que orientou o estudo foi a seguinte: “O que é que carateriza o Conhecimento Didático do Conteúdo dos professores peritos de Química e qual a sua relação com a Qualidade de Ensino?”. A investigação implementada é de tipo quasi-experimental, com um caráter descritivo e exploratório. A amostra foi constituída por grupos de professores e alunos (peritos e não peritos). Os dados recolheram-se por entrevistas aos professores peritos e a observação das suas aulas, por captação de imagens; por questionários e testes de avaliação aos alunos dos dois grupos. A análise dos resultados obedeceu a metodologia quantitativa e qualitativa. Os resultados revelam que, os professores peritos reúnem requisitos caraterizados pelas suas intervenções de pedagogias mais ativas que os tornam mais eficazes. As caraterísticas das suas intervenções propiciam melhorias na qualidade de ensino. Contudo, as conclusões gerais implicam a necessidade de formação dos professores, de modo a melhorar a qualidade de ensino da Química em Angola.

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During the past four decades both between and within group wage inequality increased significantly in the US. I provide a microfounded justification for this pattern, by introducing private employer learning in a model of signaling with credit constraints. In particular, I show that when financial constraints relax, talented individuals can acquire education and leave the uneducated pool, this decreases unskilled inexperienced wages and boosts wage inequality. This explanation is consistent with US data from 1970 to 1997, indicating that the rise of the skill and the experience premium coincides with a fall in unskilled-inexperienced wages, while at the same time skilled or experienced wages do not change much. The model accounts for: (i) the increase in the skill premium despite the growing supply of skills; (ii) the understudied aspect of rising inequality related to the increase in the experience premium; (iii) the sharp growth of the skill premium for inexperienced workers and its moderate expansion for the experienced ones; (iv) the puzzling coexistence of increasing experience premium within the group of unskilled workers and its stable pattern among the skilled ones. The results hold under various robustness checks and provide some interesting policy implications about the potential conflict between inequality of opportunity and substantial economic inequality, as well as the role of minimum wage policy in determining the equilibrium wage inequality.

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We characterize the class of strategy-proof social choice functions on the domain of symmetric single-peaked preferences. This class is strictly larger than the set of generalized median voter schemes (the class of strategy-proof and tops-only social choice functions on the domain of single-peaked preferences characterized by Moulin (1980)) since, under the domain of symmetric single-peaked preferences, generalized median voter schemes can be disturbed by discontinuity points and remain strategy-proof on the smaller domain. Our result identifies the specific nature of these discontinuities which allow to design non-onto social choice functions to deal with feasibility constraints.

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The increase in population and vehicles has placed significant pressures on Northern Ireland’s transportation networks coupled with fiscal constraints and the need to reduce our environmental impacts.  The revised Strategy concentrates on moving people rather than vehicles, creating space on the networks for people and also for freight and on maintaining what is in place and using it in a smarter way.  At its core is a move towards greater sustainability which will contribute positively to growing the economy, improving the quality of life for all and reducing the transport impacts on the environment.

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Quantitatively assessing the importance or criticality of each link in a network is of practical value to operators, as that can help them to increase the network's resilience, provide more efficient services, or improve some other aspect of the service. Betweenness is a graph-theoretical measure of centrality that can be applied to communication networks to evaluate link importance. However, as we illustrate in this paper, the basic definition of betweenness centrality produces inaccurate estimations as it does not take into account some aspects relevant to networking, such as the heterogeneity in link capacity or the difference between node-pairs in their contribution to the total traffic. A new algorithm for discovering link centrality in transport networks is proposed in this paper. It requires only static or semi-static network and topology attributes, and yet produces estimations of good accuracy, as verified through extensive simulations. Its potential value is demonstrated by an example application. In the example, the simple shortest-path routing algorithm is improved in such a way that it outperforms other more advanced algorithms in terms of blocking ratio

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A compositional time series is obtained when a compositional data vector is observed atdifferent points in time. Inherently, then, a compositional time series is a multivariatetime series with important constraints on the variables observed at any instance in time.Although this type of data frequently occurs in situations of real practical interest, atrawl through the statistical literature reveals that research in the field is very much in itsinfancy and that many theoretical and empirical issues still remain to be addressed. Anyappropriate statistical methodology for the analysis of compositional time series musttake into account the constraints which are not allowed for by the usual statisticaltechniques available for analysing multivariate time series. One general approach toanalyzing compositional time series consists in the application of an initial transform tobreak the positive and unit sum constraints, followed by the analysis of the transformedtime series using multivariate ARIMA models. In this paper we discuss the use of theadditive log-ratio, centred log-ratio and isometric log-ratio transforms. We also presentresults from an empirical study designed to explore how the selection of the initialtransform affects subsequent multivariate ARIMA modelling as well as the quality ofthe forecasts

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This paper estimates the effect of piracy attacks on shipping costs using a unique data set on shipping contracts in the dry bulk market. We look at shipping routes whose shortest path exposes them to piracy attacks and find that the increase in attacks in 2008 lead to around a ten percent increase in shipping costs. We use this estimate to get a sense of the welfare loss imposed by piracy. Our intermediate estimate suggests that the creation of $120 million of revenue for pirates in the Somalia area led to a welfare loss of over $1.5 billion.