853 resultados para SELECTIVE LOCALIZATION


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When an accurate hydraulic network model is available, direct modeling techniques are very straightforward and reliable for on-line leakage detection and localization applied to large class of water distribution networks. In general, this type of techniques based on analytical models can be seen as an application of the well-known fault detection and isolation theory for complex industrial systems. Nonetheless, the assumption of single leak scenarios is usually made considering a certain leak size pattern which may not hold in real applications. Upgrading a leak detection and localization method based on a direct modeling approach to handle multiple-leak scenarios can be, on one hand, quite straightforward but, on the other hand, highly computational demanding for large class of water distribution networks given the huge number of potential water loss hotspots. This paper presents a leakage detection and localization method suitable for multiple-leak scenarios and large class of water distribution networks. This method can be seen as an upgrade of the above mentioned method based on a direct modeling approach in which a global search method based on genetic algorithms has been integrated in order to estimate those network water loss hotspots and the size of the leaks. This is an inverse / direct modeling method which tries to take benefit from both approaches: on one hand, the exploration capability of genetic algorithms to estimate network water loss hotspots and the size of the leaks and on the other hand, the straightforwardness and reliability offered by the availability of an accurate hydraulic model to assess those close network areas around the estimated hotspots. The application of the resulting method in a DMA of the Barcelona water distribution network is provided and discussed. The obtained results show that leakage detection and localization under multiple-leak scenarios may be performed efficiently following an easy procedure.

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O mercado de beleza é extremamente competitivo, tendo uma facturação de 145 biliões € em todo o mundo e registando uma taxa de 4% de crescimento anual. O mercado da beleza inclui os cuidados com o cabelo, rosto, maquilhagem, perfumes, higiene e cosmética oral. A Uniqcosmet é uma empresa que opera na indústria da beleza desde 2011. Apesar do seu foco estar relacionado com consultoria e marketing, um novo projecto nasceu: lançar uma nova marca que opere no mercado seletivo, com um posicionamento internacional no segmento de cuidados com o rosto, em particular, no mercado de produtos naturais. Nesse sentido, o objetivo do estudo é de identificar se existe espaço ou não, para uma nova marca de beleza seletiva, e posteriormente, aferir qual a melhor forma de lançar esta marca posicionando-a num mercado extremamente competitivo. Assim sendo, primeiramente, foi realizado um estudo focado nos diversos países da Europa e da Ásia. De seguida foi feita uma análise da concorrência, no sentido de perceber qual o melhor posicionamento a adotar. Para além desta análise, o comportamento do consumidor foi também alvo de pesquisa, seguido de uma análise ao potencial das azeitonas e azeite de oliva como ingrediente base. De seguida, as regiões de Portugal e Espanha como território geográfico das marcas também foram analisadas. Finalmente, dois diferentes conceitos de marca foram apresentados e apoiados por toda a fase de pesquisa. Como conclusões, descobriu-se que a Europa e Ásia Pacífico são as duas regiões mais promissoras para novas marcas de cuidados com o rosto operando no mercado seletivo. Foi também descoberto o potencial e importância das marcas conceptuais, e que as azeitonas e azeite de oliva têm enormes benefícios para a pele e uma grande aceitação por parte dos consumidores.

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Uma vez que as perspectivas de crescimento económico nos países mais desenvolvidos, como a Europa, os EUA eo Japão estão diminuindo, os mercados emergentes têm se tornado cada vez mais importante para muitas empresas multinacionais. Brasil, Rússia, Índia e China (BRICs) são agora os principais mercados em crescimento em todo o mundo e as empresas estão buscando estratégias para explorar ao máximo o potencial de consumo promissor nessas regiões. Um dos modos mais elaborados de prosseguir essa estratégia é conhecida como "localização" - uma adaptação das práticas de negócios (ao longo de toda a cadeia de suprimentos) com as preferências e condições locais. Este artigo é projetado para analisar as atividades de localização de empresas multinacionais no Brasil. O foco da análise é o de investigar as características do mercado brasileiro, que induzem as multinacionais a localizar o seu marketing mix (composto de produto, preço, colocação e promoção). Em dois estudos de casos com a empresa Suiça Nestlé e a empresa Alemã Volkswagen vários padrões de localização foram no mercado consumidor brasileiro. Os quatro resultados mais significativos da análise são os diferentes padrões sociais o Brasil, que forçar as empresas a reformular certas funções do seu mix de marketing (por exemplo, a colocação no caso da Nestlé), a aceitação dos consumidores brasileiros a pagar preços relativamente elevados (por exemplo, taxas de Volkswagen até 100% mais por seus produtos em relação à Alemanha); o enorme tamanho do Brasil ea infra-estrutura deficiente, que exigem uma abordagem de distribuição localizada; eo caráter atualmente ainda menos exigente dos estratos de consumidores brasileiros emergentes, que permitem às empresas oferecer produtos menos sofisticados em comparação aos mercados europeus.

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SANTANA, André M.; SOUZA, Anderson A. S.; BRITTO, Ricardo S.; ALSINA, Pablo J.; MEDEIROS, Adelardo A. D. Localization of a mobile robot based on odometry and natural landmarks using extended Kalman Filter. In: INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, 5., 2008, Funchal, Portugal. Proceedings... Funchal, Portugal: ICINCO, 2008.

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TORT, A. B. L. ; SCHEFFER-TEIXEIRA, R ; Souza, B.C. ; DRAGUHN, A. ; BRANKACK, J. . Theta-associated high-frequency oscillations (110-160 Hz) in the hippocampus and neocortex. Progress in Neurobiology , v. 100, p. 1-14, 2013.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Genomewide marker information can improve the reliability of breeding value predictions for young selection candidates in genomic selection. However, the cost of genotyping limits its use to elite animals, and how such selective genotyping affects predictive ability of genomic selection models is an open question. We performed a simulation study to evaluate the quality of breeding value predictions for selection candidates based on different selective genotyping strategies in a population undergoing selection. The genome consisted of 10 chromosomes of 100 cM each. After 5,000 generations of random mating with a population size of 100 (50 males and 50 females), generation G(0) (reference population) was produced via a full factorial mating between the 50 males and 50 females from generation 5,000. Different levels of selection intensities (animals with the largest yield deviation value) in G(0) or random sampling (no selection) were used to produce offspring of G(0) generation (G(1)). Five genotyping strategies were used to choose 500 animals in G(0) to be genotyped: 1) Random: randomly selected animals, 2) Top: animals with largest yield deviation values, 3) Bottom: animals with lowest yield deviations values, 4) Extreme: animals with the 250 largest and the 250 lowest yield deviations values, and 5) Less Related: less genetically related animals. The number of individuals in G(0) and G(1) was fixed at 2,500 each, and different levels of heritability were considered (0.10, 0.25, and 0.50). Additionally, all 5 selective genotyping strategies (Random, Top, Bottom, Extreme, and Less Related) were applied to an indicator trait in generation G(0), and the results were evaluated for the target trait in generation G(1), with the genetic correlation between the 2 traits set to 0.50. The 5 genotyping strategies applied to individuals in G(0) (reference population) were compared in terms of their ability to predict the genetic values of the animals in G(1) (selection candidates). Lower correlations between genomic-based estimates of breeding values (GEBV) and true breeding values (TBV) were obtained when using the Bottom strategy. For Random, Extreme, and Less Related strategies, the correlation between GEBV and TBV became slightly larger as selection intensity decreased and was largest when no selection occurred. These 3 strategies were better than the Top approach. In addition, the Extreme, Random, and Less Related strategies had smaller predictive mean squared errors (PMSE) followed by the Top and Bottom methods. Overall, the Extreme genotyping strategy led to the best predictive ability of breeding values, indicating that animals with extreme yield deviations values in a reference population are the most informative when training genomic selection models.

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Potentially bioactive N-(aminoalkyl)lactamic amino acids and esters were synthesized in satisfactory to good yields by SNAr reactions of aromatic acids with N-(3-aminopropyl)lactams followed by esterification with tertiary amino alcohols. The addition-elimination SNAr mechanism was confirmed by NMR and MS measurements.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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In a previous study, we showed that purified commercial esterase activity can be detected in a chemiluminescent assay based on the hydrolysis of 2-methyl-1-propenylbenzoate (MPB) to 2-methyl-1-propenol, which is subsequently oxidized by the horseradish peroxidase (HRP)-H2O2 system. The purpose of this study was to verify the applicability of this assay to human serum. The existence of an esterase activity capable of hydrolysing MPB is indicated by the fact that the MPB-scruin-HRP-H2O2 System consumes oxygen and emits light. Both signals were abolished by prior serum heat inactivation and were preserved when serum was stored at less than or equal to4 degreesC. Addition of aliesterase inhibitors, such as fluoride ion and trichlorfon or the cholinesterase inhibitor eserine, totally prevents light emission. The butyrylcholinesterase-specific substrate benzoylcholine causes a delay in both O-2 uptake and light emission, while the specific acetylcholinesterase substrate, acetyl-beta -methylcholine, had practically no effect. Purified butyrylcholinesterase, but not acetylcholinesterase, triggered light emission. The finding that butyryleholinesterase is responsible for the hydrolysis of MPB in serum should serve as the basis for the development of a specific chemiluminescent assay for this enzyme. Copyright (C) 2001 John Wiley & Sons, Ltd.

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A new UV spectrophotometric method was developed for quantitative evaluation of ceftazidime preparations. The UV detector was set at 255 nm. Beer's law is obeyed in the concentration range of 7.0-14.0 mu g/mL. The method was found to be selective, linear, accurate, and precise in the specified ranges. Intra- and interday variability for the method were <2% relative standard deviation. Common excipients used as additives in pharmaceutical preparations do not interfere with the proposed method. This method was successfully used for quantification of ceftazidime in pure form and in pharmaceutical preparations.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)