9 resultados para Multicriteria degree constrained


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Semigroup Forum, nº76 (2008), pg.579-583

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Dissertation presented to obtain the Ph.D. degree in Biology at the Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa.

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Thesis submitted to the Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia for the degree of Doctor of Philosophy in Environmental Engineering

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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 presented to obtain the Ph.D degree in Biochemistry

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores

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Diffusion Kurtosis Imaging (DKI) is a fairly new magnetic resonance imag-ing (MRI) technique that tackles the non-gaussian motion of water in biological tissues by taking into account the restrictions imposed by tissue microstructure, which are not considered in Diffusion Tensor Imaging (DTI), where the water diffusion is considered purely gaussian. As a result DKI provides more accurate information on biological structures and is able to detect important abnormalities which are not visible in standard DTI analysis. This work regards the development of a tool for DKI computation to be implemented as an OsiriX plugin. Thus, as OsiriX runs under Mac OS X, the pro-gram is written in Objective-C and also makes use of Apple’s Cocoa framework. The whole program is developed in the Xcode integrated development environ-ment (IDE). The plugin implements a fast heuristic constrained linear least squares al-gorithm (CLLS-H) for estimating the diffusion and kurtosis tensors, and offers the user the possibility to choose which maps are to be generated for not only standard DTI quantities such as Mean Diffusion (MD), Radial Diffusion (RD), Axial Diffusion (AD) and Fractional Anisotropy (FA), but also DKI metrics, Mean Kurtosis (MK), Radial Kurtosis (RK) and Axial Kurtosis (AK).The plugin was subjected to both a qualitative and a semi-quantitative analysis which yielded convincing results. A more accurate validation pro-cess is still being developed, after which, and with some few minor adjust-ments the plugin shall become a valid option for DKI computation

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A Work Project, presented as part of the requirements for the Award of a Double Degree in Economics from NOVA School of Business and Economics and Maastricht School of Business and Economics

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Portugal implemented a large number of structural reforms in the recent years, which are expected to enhance the allocation of resources in the economy, namely from the non-tradable to tradable sector. We argue that the methodology to identify the tradable sector used by some international institutions is outdated and may hamper an accurate assessment of the progress achieved so far. Based on an enhanced methodology to identify the tradable sector, we are able to provide a more accurate, clearer picture of the recent structural developments of the Portuguese economy.