983 resultados para WHITTAKER MODULE


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Fluoropolymers are known as chemically inert materials with good high temperature resistance, so they are often the materials of choice for harsh chemical environments. These properties arise because the carbon-fluorine bond is the strongest of all bonds between other elements and carbon, and, because of their large size, fluorine atoms can protect the carbon backbone of polymers such as poly(tetrafluoroethylene), PTFE, from chemical attack. However, while the carbon-fluorine bond is much stronger than the carbon hydrogen bond, the G values for radical formation on high energy radiolysis of fluoropolymers are roughly comparable to those of their protonated counterparts. Thus, efficient high energy radiation grafting of fluoropolymers is practical, and this process can be used to modify either the surface or bulk properties of a fluoropolymer. Indeed, radiation grafted fluoropolymers are currently being used as separation membranes for fuel cells, hydrophilic filtration membranes and matrix substrate materials for use in combinatorial chemistry. Herein we present a review of recent studies of the high energy radiation grafting of fluoropolymers and of the analytical methods available to characterize the grafts. (C) 2003 Elsevier Ltd. All rights reserved.

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For some applications for fluoropolymers they must be subjected to high-energy radiation, e.g., when they are grafted with styrene using an irradiation method to produce fuel cell membranes or matrix supports for combinatorial chemistry. In some of these applications they may be subjected to mechanical stress or elevated temperature, so it is important to elucidate the effects of the radiolysis on these properties. In the present work the effect of gamma-radiolysis on the glass transition, melting behavior, and thermal stability of PFA has been studied as well as the effect of the radiolysis on the tensile properties of the polymer.

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Poly(tetrafluoroethylene-co-perfluoropropyI vinyl ether), PFA, was grafted with styrene from the vapor phase using a simultaneous radiation grafting method. The graft yields were measured as a function of the dose and dose rate and were found to be initially linearly dependent on the dose and independent of the dose rate up to dose rates of similar to3 kGy/h. However, at a dose rate of 6.2 kGy/h, the slope of the yield-grafting time plot decreased. Raman depth profiles of the grafts showed that the polystyrene concentrations were greatest near the surface of the grafted samples and decreased with depth. The maximum penetration depth of the graft depended on the radiation dose for a fixed dose rate. Fmoc-Rink loading tests showed that the grafts displayed superior loading compared to grafts prepared from bulk styrene or from styrene solutions other than methanol.

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The effect of electron beam radiation on a perfluoroalkoxy (PFA) resin was examined using solid-state high-speed magic angle spinning F-19 NMR spectroscopy and FT-IR spectroscopy. Samples were prepared for analysis by subjecting them to electron beam radiation in the dose range 0.5-2.0 MGy at 633 K, which is above the crystalline melting temperature. The new structures were identified and include new saturated chain ends, short and long branches, unsaturated groups, and cross-links. The radiation chemical yield (G value) of new long branch points was greater than the G value of new chain ends, suggesting that cross-linking is the net radiolytic process. This conclusion was supported by an observed decrease in the crystallinity and an increase in the optical clarity of the polymer.

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A procura por madeiras oriundas de reflorestamentos destinadas à serraria é uma realidade já há muitos anos, principalmente aquelas das espécies do gênero Eucalyptus. Visando buscar novas informações importantes para esse mercado, este trabalho objetivou determinar algumas propriedades mecânicas da madeira de um híbrido clonal de Eucalyptus urophylla x Eucalyptus grandis de duas idades e provenientes de talhadia simples e de reforma. Os resultados indicaram que a madeira desse híbrido apresenta boas características tecnológicas, destacando-se a segunda tora (a partir de 3 m) com as melhores propriedades de flexão estática (Módulo de Elasticidade - MOE e Módulo de Ruptura - MOR) e Compressão Axial das fibras. As árvores de maior idade (166 meses) e que sofreram dois desbastes apresentaram as melhores propriedades de flexão estática e compressão axial.

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Trata-se de um estudo sobre avaliação da qualidade de vida de crianças e adolescentes com câncer que objetivou-se a produção de duas propostas de artigo. A primeira proposta de artigo teve como objetivo conhecer as médias dos escores geral ou por dimensões encontrados nos estudos realizados os quais utilizaram o Pediatric Quality of Life Inventory 3.0 Cancer Module. Aplicou-se a estratégia de busca nas bases Scopus, Web of Science, Bireme, PsycoInfo e a EBSCO host. Encontrou-se 210 resumos e títulos, excluiu-se 189 por duplicidade e por não atender aos critérios de inclusão. Analisou-se e elegeu-se 21 para compor o estudo. Todos os artigos publicados na língua inglesa, em sua maioria na América (47,6%) e no período de 2011 a 2013 (61,9%), utilizaram-se do questionário para a coleta de dados tanto para criança e adolescentes quanto para seus pais na maioria dos artigos (61,9%). A variação dos escores por dimensões e geral provavelmente esteve relacionada com a seleção dos grupos de comparação pois, pode-se perceber a diversidade dos critérios de inclusão e das variáveis para a análise em cada estudo. Concluiu-se que as médias dos escores por dimensões e geral não alcançaram valores abaixo de 30 e os maiores escores por dimensões estão acima de 80. Sugere-se que a dimensão ansiedade frente ao tratamento, no relato das crianças, pode ter obtido os maiores escores dentro de cada estudo. A segunda proposta de artigo objetivou-se avaliar a qualidade de vida de crianças e adolescentes com câncer em tratamento ou em acompanhamento e verificar associações com as variáveis socioeconômicas e clínicas. Realizou-se um estudo transversal com 98 crianças e adolescentes com diagnóstico de câncer de uma unidade de referência em oncologia pediátrica no estado do Espírito Santo - Brasil. Aplicou-se o questionário PedsQLTM e coletou-se informações sociodemográficas e clínicas. A amostra caracterizou-se com predominância do sexo masculino, de faixa etária de 08 a 12 anos, de classe econômica C e com diagnóstico de leucemia. Houve associação entre a faixa etária nas médias escores de 5 das 8 dimensões da avaliação da qualidade de vida. Não houveram diferenças estatisticamente significante em nenhuma das dimensões nem no escore total da qualidade de vida com as variáveis sexo da criança e adolescente, tipo de tumor, classe econômica e a escolaridade da mãe. Concluiu-se que faixa etária, o status do tratamento e frequentar a escola são fatores que modificam a avaliação qualidade de vida no relato das crianças e adolescentes, aumentando ou diminuindo as dificuldades frente ao tratamento e a doença.

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O Estudo de Impacte Ambiental (EIA) é uma peça fundamental no processo de Avaliação Ambiental a que têm de ser submetidos alguns projetos de engenharia. Este é o resultado de atividades e avaliações metodológicas conducentes a identificar/avaliar possíveis impactes, apresentando medidas de minimização e o plano de monitorização. Se existirem múltiplas alternativas, o EIA deve indicar a “ambientalmente mais favorável”. O presente trabalho apresenta uma proposta metodológica para apoio dessas atividades/avaliações, tendo como estrutura integradora um SIG ligado a modelos externos específicos, constituindo -se assim como uma contribuição para o desenvolvimento de um SADE -MC, no domínio ambiental. Essa proposta engloba a conceção duma rotina interativa, em Visual Basic® para suportar os processos de Screening/Scoping, Avaliação da Significância e Seleção dos Indicadores Ambientais. As funcionalidades do SIG, associadas aos módulos externos, são usadas para prever/quantificar os impactes e os indicadores ambientais. Estes indicadores são então utilizados como critérios, no módulo de avaliação multicritério que utiliza, nesta aplicação, o método ELECTRE III. Isso permite apresentar uma preordenação final das alternativas, desde a “ambientalmente mais favorável” até à mais adversa. Como caso de estudo, essa proposta metodológica é aplicada a um EIA referente ao projeto de um troço de autoestrada no Centro de Portugal.

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A organização automática de mensagens de correio electrónico é um desafio actual na área da aprendizagem automática. O número excessivo de mensagens afecta cada vez mais utilizadores, especialmente os que usam o correio electrónico como ferramenta de comunicação e trabalho. Esta tese aborda o problema da organização automática de mensagens de correio electrónico propondo uma solução que tem como objectivo a etiquetagem automática de mensagens. A etiquetagem automática é feita com recurso às pastas de correio electrónico anteriormente criadas pelos utilizadores, tratando-as como etiquetas, e à sugestão de múltiplas etiquetas para cada mensagem (top-N). São estudadas várias técnicas de aprendizagem e os vários campos que compõe uma mensagem de correio electrónico são analisados de forma a determinar a sua adequação como elementos de classificação. O foco deste trabalho recai sobre os campos textuais (o assunto e o corpo das mensagens), estudando-se diferentes formas de representação, selecção de características e algoritmos de classificação. É ainda efectuada a avaliação dos campos de participantes através de algoritmos de classificação que os representam usando o modelo vectorial ou como um grafo. Os vários campos são combinados para classificação utilizando a técnica de combinação de classificadores Votação por Maioria. Os testes são efectuados com um subconjunto de mensagens de correio electrónico da Enron e um conjunto de dados privados disponibilizados pelo Institute for Systems and Technologies of Information, Control and Communication (INSTICC). Estes conjuntos são analisados de forma a perceber as características dos dados. A avaliação do sistema é realizada através da percentagem de acerto dos classificadores. Os resultados obtidos apresentam melhorias significativas em comparação com os trabalhos relacionados.

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Nanofiltration process for the treatment/valorisation of cork processing wastewaters was studied. A DS-5 DK 20/40 (GE Water Technologies) nanofiltration membrane/module was used, having 2.09 m(2) of surface area. Hydraulic permeability was determined with pure water and the result was 5.2 L.h(-1).m(-2).bar(-1). The membrane presents a rejection of 51% and 99% for NaCl and MgSO4 salts, respectively. Two different types of regimes were used in the wastewaters filtration process, total recycling mode and concentration mode. The first filtration regime showed that the most favourable working transmembrane pressure was 7 bar working at 25 degrees C. For the concentration mode experiments it was observed a 30% decline of the permeate fluxes when a volumetric concentration factor of 5 was reached. The permeate COD, BOD5, colour and TOC rejection values remained well above the 90% value, which allows, therefore, the concentration of organic matter (namely the tannin fraction) in the concentrate stream that can be further used by other industries. The permeate characterization showed that it cannot be directly discharged to the environment as it does not fulfil the values of the Portuguese discharge legislation. However, the permeate stream can be recycled to the process (boiling tanks) as it presents no colour and low TOC (< 60 ppm) or if wastewater discharge is envisaged we have observed that the permeate biodegradability is higher than 0.5, which renders conventional wastewater treatments feasible.

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With the restructuring of the energy sector in industrialized countries there is an increased complexity in market players’ interactions along with emerging problems and new issues to be addressed. Decision support tools that facilitate the study and understanding of these markets are extremely useful to provide players with competitive advantage. In this context arises MASCEM, a multi-agent simulator for competitive electricity markets. It is essential to reinforce MASCEM with the ability to recreate electricity markets reality in the fullest possible extent, making it able to simulate as many types of markets models and players as possible. This paper presents the development of the Balancing Market in MASCEM. A key module to the study of competitive electricity markets, as it has well defined and distinct characteristics previously implemented.

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In this paper we present a user-centered interface for a scheduling system. The purpose of this interface is to provide graphical and interactive ways of defining a scheduling problem. To create such user interface an evaluation-centered user interaction development method was adopted: the star life cycle. The created prototype comprises the Task Module and the Scheduling Problem Module. The first one allows users to define a sequence of operations, i.e., a task. The second one enables a scheduling problem definition, which consists in a set of tasks. Both modules are equipped with a set of real time validations to assure the correct definition of the necessary data input for the scheduling module of the system. The usability evaluation allowed us to measure the ease of interaction and observe the different forms of interaction provided by each participant, namely the reactions to the real time validation mechanism.

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Although we have many electric devices at home, there are just few systems to evaluate, monitor and control them. Sometimes users go out and leave their electric devices turned on what can cause energy wasting and dangerous situations. Therefore most of the users may want to know the using states of their electrical appliances through their mobile devices in a pervasive way. In this paper, we propose an Intelligent Supervisory Control System to evaluate, monitor and control the use of electric devices in home, from outside. Because of the transferring data to evaluate, monitor and control user's location and state of home (ex. nobody at home) may be opened to attacks leading to dangerous situations. In our model we include a location privacy module and encryption module to provide security to user location and data. Intelligent Supervising Control System gives to the user the ability to manage electricity loads by means of a multi-agent system involving evaluation, monitoring, control and energy resource agents.

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The restructuring that the energy sector has suffered in industrialized countries originated a greater complexity in market players’ interactions, and thus new problems and issues to be addressed. Decision support tools that facilitate the study and understanding of these markets become extremely useful to provide players with competitive advantage. In this context arises MASCEM, a multi-agent system for simulating competitive electricity markets. To provide MASCEM with the capacity to recreate the electricity markets reality in the fullest possible extent, it is essential to make it able to simulate as many market models and player types as possible. This paper presents the development of the Complex Market in MASCEM. This module is fundamental to study competitive electricity markets, as it exhibits different characteristics from the already implemented market types.

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Power system organization has gone through huge changes in the recent years. Significant increase in distributed generation (DG) and operation in the scope of liberalized markets are two relevant driving forces for these changes. More recently, the smart grid (SG) concept gained increased importance, and is being seen as a paradigm able to support power system requirements for the future. This paper proposes a computational architecture to support day-ahead Virtual Power Player (VPP) bid formation in the smart grid context. This architecture includes a forecasting module, a resource optimization and Locational Marginal Price (LMP) computation module, and a bid formation module. Due to the involved problems characteristics, the implementation of this architecture requires the use of Artificial Intelligence (AI) techniques. Artificial Neural Networks (ANN) are used for resource and load forecasting and Evolutionary Particle Swarm Optimization (EPSO) is used for energy resource scheduling. The paper presents a case study that considers a 33 bus distribution network that includes 67 distributed generators, 32 loads and 9 storage units.

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OBJECTIVE: To extend an existing computer programme for the evaluation and design of shift schedules (BASS 3) by integrating workload as well as economic aspects. METHODS: The redesigned prototype BASS 4 includes a new module with a suitable and easily applicable screening method (EBA) for the assessment of the intensity of physical, emotional and cognitive workload components and their temporal patterns. Specified criterion functions based on these ratings allow for an adjustment of shift and rest duration according to the intensity of physical and mental workload. Furthermore, with regard to interactive effects both workload and temporal conditions, e.g. time of day, are taken into account. In a second new module, important economic aspects and criteria have been implemented. Different ergonomic solutions for scheduling problems can now also be evaluated with regard to their economic costs. RESULTS: The new version of the computer programme (BASS 4) can now simultaneously take into account numerous ergonomic, legal, agreed and economic criteria for the design and evaluation of working hours. CONCLUSIONS: BASS 4 can now be used as an instrument for the design and the evaluation of working hours with regard to legal, ergonomic and economic aspects at the shop floor as well as in administrative (e.g. health and safety inspection) and research problems.