996 resultados para local products


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Dissertação de Mestrado em Gestão de Empresas/MBA

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Liver steatosis is a common disease usually associated with social and genetic factors. Early detection and quantification is important since it can evolve to cirrhosis. Steatosis is usually a diffuse liver disease, since it is globally affected. However, steatosis can also be focal affecting only some foci difficult to discriminate. In both cases, steatosis is detected by laboratorial analysis and visual inspection of ultrasound images of the hepatic parenchyma. Liver biopsy is the most accurate diagnostic method but its invasive nature suggest the use of other non-invasive methods, while visual inspection of the ultrasound images is subjective and prone to error. In this paper a new Computer Aided Diagnosis (CAD) system for steatosis classification and analysis is presented, where the Bayes Factor, obatined from objective intensity and textural features extracted from US images of the liver, is computed in a local or global basis. The main goal is to provide the physician with an application to make it faster and accurate the diagnosis and quantification of steatosis, namely in a screening approach. The results showed an overall accuracy of 93.54% with a sensibility of 95.83% and 85.71% for normal and steatosis class, respectively. The proposed CAD system seemed suitable as a graphical display for steatosis classification and comparison with some of the most recent works in the literature is also presented.

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Mestrado em Engenharia Informática. Sistemas Gráficos e Multimédia

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Dissertação apresentada à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Jornalismo.

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Dissertação de Mestrado em Tecnologia e Segurança Alimentar.

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Dissertação de Mestrado em Ciências Económicas e Empresariais.

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Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Química

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55th European Regional Science Association Congress, Lisbon, Portugal (25-28 August 2015).

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Dissertação de Mestrado, Engenharia e Gestão de Sistemas de Água, 12 de Outubro de 2015, Universidade dos Açores.

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A indústria da construção, nomeadamente no sector da edificação, baseia-se essencialmente em métodos de construção tradicional. Esta indústria é caracterizada pelo consumo excessivo de matérias-primas, de recursos energéticos não renováveis e pela elevada produção de resíduos. Esta realidade é de todo incompatível com os desígnios do desenvolvimento sustentável, nos quais se procura a conveniência harmoniosa entre as dimensões ambiental, social e económica. O desafio da sustentabilidade, colocado à actividade da construção, tem motivado abordagens distintas, não só por parte das várias especialidades da engenharia, como também da arquitectura. É nesta perspectiva, que o presente modelo pretende ser um contributo para uma abordagem inovadora, introduzindo linhas de intervenção e de orientação, para apoiar e estimular o desenvolvimento de soluções sustentáveis em edifícios habitacionais, em qualquer fase do ciclo de evolução de um projecto e das várias especialidades do mesmo. Assim, no sentido de optimizar os recursos envolvidos no projecto são expostas estratégias de intervenção, com os seguintes objectivos: optimização do potencial do local, preservação da identidade regional e cultural, minimização do consumo de energia, utilização de materiais e produtos de baixo impacto ambiental, redução do consumo de água, redução da produção de emissões, resíduos e outros poluentes, adequada qualidade do ambiente interior e optimização das fases de operação e manutenção. A ferramenta apresentada surge como um instrumento facilitador para a equipa de projectistas, e que se esta adaptada para o desenvolvimento de projectos de edifícios de habitação, dada a génese dos métodos utilizados. As soluções de sustentabilidade apresentadas neste manual emanam dos sistemas de certificação LíderA, LEED, BREEAM e SBToolpt. O modelo encontra-se estruturado, no que às fases de projecto diz respeito, de acordo com os requisitos expressos na Portaria 701-H/2008 de 29 de Julho, tendo sido igualmente seguido o descrito para os respectivos intervenientes.

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The impact of mycotoxins on human and animal health is well recognized. Aflatoxin B1 (AFB1) is by far the most prevalent and the most potent natural carcinogen and is usually the major aflatoxin produced by toxigenic fungal strains. Data available, points to an increasing frequency of poultry feed contamination by aflatoxins. Since aflatoxin residues may accumulate in body tissues, this represents a high risk to human health. Samples from commercial poultry birds have already presented detectable levels of aflatoxin in liver. A descriptive study was developed in order to assess fungal contamination by species from Aspergillus flavus complex in seven Portuguese poultry units. Air fungal contamination was studied by conventional and molecular methods. Air, litter and surfaces samples were collected. To apply molecular methods, air samples of 300L were collected using the Coriolis μ air sampler (Bertin Technologies), at 300 L/min airflow rate. For conventional methodologies, all the collected samples were incubated at 27ºC for five to seven days. Through conventional methods, Aspergillus flavus was the third fungal species (7%) most frequently found in 27 indoor air samples analysed and the most commonly isolated species (75%) in air samples containing only the Aspergillus genus...

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The electrochemical behavior of the hydrolysis products of oxadiazon was studied by cyclic and square-wave voltammetry using a glassy carbon electrode. Maximum currents were obtained at pH 12.8 in an aqueous electrolyte solution containing 30% ethanol and the current did not decrease with time showing that there was little adsorption of the reaction products on the electrode surface. The hydrolysis products of oxadiazon were identi®ed, after isolation and puri®cation, as 1-trimethylacetyl-2-(2,4-dichloro-5-isopropoxyphenyl)-2-ethoxycarbonylhydrazine (Oxa1) and 1-trimethylacetyl-2-(2,4-dichloro-5-isopropoxyphenyl) hydrazine (Oxa2) with redox potentials 0.6Vand 70.1V (vs. Ag=AgCl), respectively. Based on the electrochemical behavior of 1-trimethylacetyl-2-(2,4-dichloro-5-isopropoxyphenyl) hydrazine (Oxa2) a simple electroanalytical procedure was developed for the determination of oxadiazon in commercial products used in the treatment of rice crops in Portugal that contain oxadiazon as the active ingredient. The detection limit was 161074 M, the mean content and relative standard deviation obtained for seven samples of two different commercial products by the electrochemical method were 28.4 0.8% (Ronstar) and 1.9 0.2% (Ronstar GR), and the recoveries were 100.3 5.4% and 101.1 5.3 %, respectively.

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The electrochemical behavior of citalopram was studied by square-wave and square-wave adsorptive-stripping voltammetry (SWAdSV). Citalopram can be reduced and accumulated at a mercury drop electrode, with a maximum peak current intensity being obtained at a potential of approximately -1.25V vs. AgCl/Ag, in an aqueous electrolyte solution of pH 12. A SWAdSV method has been developed for the determination of citalopram in pharmaceutical preparations. The method shows a linear range between 1.0x10-7 and 2.0x10-6 mol L-1 with a limit of detection of 5x10-8 mol L-1 for an accumulation time of 30 s. The precision of the method was evaluated by assessing the repeatability and intermediate precision, achieving good relative standard deviations in all cases (≤2.3%). The proposed method was applied to the determination of citalopram in five pharmaceutical products and the results obtained are in good agreement with the labeled values.

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In the last decade, local image features have been widely used in robot visual localization. To assess image similarity, a strategy exploiting these features compares raw descriptors extracted from the current image to those in the models of places. This paper addresses the ensuing step in this process, where a combining function must be used to aggregate results and assign each place a score. Casting the problem in the multiple classifier systems framework, we compare several candidate combiners with respect to their performance in the visual localization task. A deeper insight into the potential of the sum and product combiners is provided by testing two extensions of these algebraic rules: threshold and weighted modifications. In addition, a voting method, previously used in robot visual localization, is assessed. All combiners are tested on a visual localization task, carried out on a public dataset. It is experimentally demonstrated that the sum rule extensions globally achieve the best performance. The voting method, whilst competitive to the algebraic rules in their standard form, is shown to be outperformed by both their modified versions.