977 resultados para Microtissue culture models


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Rapid formation and selection of FP (few polyhedra) mutants occurs during serial passaging of Helicoverpa armigera nucleopolyhedrovirus (HaSNPV) in insect cell culture. The production of HaSNPV for use as biopesticides requires the passaging of the virus over a number of passages to produce enough virus inoculum for large-scale fermentation. During serial passaging in cell culture, FP mutants were rapidly selected, resulting in declined productivity and reduced potency of virus. Budded virus (BV) is usually harvested between 72 and 96 h postinfection (hpi) in order to obtain a high titer virus stock. In this study, the effect of tine of harvest (TOH) for BV on the selection rate of HaSNPV FP mutants during serial passaging was investigated. BV were harvested at different times postinfection, and each series was serially passaged for six passages. The productivity and percentage of FP mutants at each passage were determined. It was found that the selection of FP mutants can he reduced by employing an earlier TOH for BV. Serial passaging with BV harvested at 48 hpi showed a slower accumulation of FP mutants compared to that of BV harvested after 48 hpi. Higher cell specific yields were also maintained when BV were harvested at 48 hpi. When BV that were formed between 48 and 96 hpi were harvested and serially passaged, FP mutants quickly dominated the virus population. This suggests that the V formed and released between 48 and 96 hpi are most likely from FP mutant infected cells.

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Nesta Dissertação os capítulos foram elaborados de maneira a estabelecer inicialmente um panorama da história da política pública ao longo do tempo e sua relação com a cultura, passando pelos conceitos da política pública de cultura, analisando os modelos de políticas culturais e a gestão cultural na democracia. Em seguida foi feito um estudo sobre a política cultural a partir da década de 80, para então analisar a participação das instituições públicas no processo de desenvolvimento após 1988. Diante da nova constituição foi lançado um olhar analítico sobre seus reflexos no campo da cultura desde o neoliberalismo até a segunda década do século XXI, além de uma visão do MinC sobre a arte contemporânea. Só então foram pesquisadas com mais profundidade as políticas públicas de cultura no estado do Espírito Santo, considerando as atuações das instituições públicas no processo de desenvolvimento, proporcionadas pelas aplicações dos Editais e seus desdobramentos, ligados a cada área de atuação dos segmentos culturais que são beneficiários, enfocando ainda as dimensões da cultura e os dilemas e alternativas das políticas públicas culturais com relação aos excluídos. A partir daí foi feita uma abordagem dos diversos segmentos artísticos do estado, suas atuações e suas carências, tendo como ponto de apoio os Editais. Foi analisado o Plano estadual de Cultura no contexto de sua relação com os segmentos culturais, considerando sua concepção original e o estado atual. Foram ainda analisadas as implicações das ações transversais entre os diversos órgãos governamentais e a cultura tendo em vista a equalização de Políticas Públicas de Cultura para o estado.

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O Painel Intergovernamental sobre Mudanças Climáticas (IPCC) através do seu Quarto Relatório de Avaliação das Mudanças Climáticas Globais (IPCC-AR4), publicado em 2007, atribui as emissões de gases de efeito estufa como a principal causa do aumento médio das temperaturas e alerta para uma elevação entre 1,8 ºC e 6,4 ºC até 2100, podendo modificar assim a aptidão climática para as culturas agrícolas em diversas regiões do planeta. Diante disso, existe a necessidade de substituição dos combustíveis fósseis por fontes renováveis e limpas de energia, como o etanol. A cana-de-açúcar apresenta-se, portanto, como uma cultura estratégica na produção do etanol. O presente trabalho teve como objetivos: 1) avaliar o desempenho dos Modelos Climáticos Globais (MCGs) do IPCC-AR4 na simulação de dados climáticos de temperatura do ar e precipitação pluviométrica para o período anual e mensal; 2) elaborar o zoneamento agroclimático da cana-de-açúcar para a América do Sul considerando o clima referência e o futuro para as décadas de 2020, 2050 e 2080 em função do cenário de emissão A1B considerado pessimista e que usa um equilíbrio entre todas as fontes de energia. Para a avaliação do desempenho dos MCGs, foram utilizados dados climáticos médios mensais observados de precipitação e temperatura do ar provenientes do Climatic Research Unit (CRU) e dados simulados oriundos dos 22 MCGs do IPCC (cenário 20c3m) compreendidos entre o período de 1961-1990, além do Multimodel (ensemble) – MM que é a média da combinação dos dados de todos os modelos. O desempenho dos MCGs foi avaliado pelos índices estatísticos: desvio padrão, correlação, raiz quadrada da média do quadrado das diferenças centralizadas e o “bias” dos dados simulados com os observados, que foram representados no diagrama de Taylor. Para a etapa da elaboração do zoneamento agroclimático procedeu-se o cálculo dos balanços hídricos (referência e futuros) da cultura, pelo método de Thornthwaite & Mather (1955). Para o cenário referência, utilizaram-se dados das médias mensais da precipitação e temperatura provenientes do CRU, enquanto que para as projeções futuras, dados provenientes das anomalias do Multimodel (ensemble) – MM para as décadas de 2020, 2050 e 2080, que foram ajustados, obtendo-se assim as projeções futuras para cada período analisado. Baseado nos mapas temáticos reclassificados de deficiência hídrica anual, temperatura média anual, excedente hídrico anual e no índice de satisfação das necessidades de água (ISNA), realizou-se uma sobreposição dessas informações obtendo assim, os mapas finais do zoneamento agroclimático da cana-de-açúcar. Posteriormente ao zoneamento, realizou-se a análise das transições (ganhos, perdas e persistências) entre as classes de aptidão climática da cultura. Os resultados mostram que o Multimodel (ensemble) – MM para o período mensal apresenta o melhor desempenho entre os modelos analisados. As áreas inaptas correspondem a maior parte da América do Sul e uma expressiva transição entre as classes de aptidão climática da cultura.

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Nos anos mais recentes, observa-se aumento na adoção das técnicas de silvicultura de precisão em florestas plantadas no Brasil. Os plantios de eucalipto ocorrem preferencialmente em áreas com baixa fertilidade de solo e consequentemente baixa produtividade. Logo, para otimizar ao máximo a produção, é necessário saber o quanto essa cultura pode produzir em cada local (sítio). Objetivou-se aplicar uma metodologia que utiliza técnicas de estatística, geoestatística e geoprocessamento, no mapeamento da variabilidade espacial e temporal de atributos químicos do solo cultivado com eucalipto, em área de 10,09 ha, situada no sul do estado do Espírito Santo. Os atributos químicos da fertilidade do solo estudados foram: fósforo (P), potássio (K), cálcio (Ca) e magnésio (Mg), no ano da implantação do povoamento do eucalipto, em 2008, e três anos após, em 2011. O solo foi amostrado em duas profundidades, 0-0,2 m e 0,2-0,4 m, nos 94 pontos de uma malha regular, com extensão de 33 x 33 m. Os dados foram analisados pela estatística descritiva e, em seguida, pela geoestatística, por meio do ajuste de semivariogramas. Diferentes métodos de interpolação foram testados para produzir mapas temáticos mais precisos e facilitar as operações algébricas utilizadas. Com o auxílio de índices quantitativos, realizou-se uma análise geral da fertilidade do solo, por meio da álgebra de mapas. A metodologia utilizada neste estudo possibilitou mapear a variabilidade espacial e temporal de atributos químicos do solo. A análise variográfica mostrou que todos os atributos estudados apresentaram-se estruturados espacialmente, exceto para o atributo P, no Ano Zero (camada 0-0,2 m) e no Ano Três (ambas as camadas). Os melhores métodos de interpolação para o mapeamento de cada atributo químico do solo foram identificados com a ajuda gráfica do Diagrama de Taylor. Mereceram destaque, os modelos esférico e exponencial nas interpolações para a maioria dos atributos químicos do solo avaliados. Apesar de a variação espacial e temporal dos atributos estudados apresentar-se, em média, com pequena variação negativa, a metodologia usada mostrou variações positivas na fertilidade do solo em várias partes da área de estudo. Além disso, os resultados demonstram que os efeitos observados são majoritariamente em função da cultura, uma vez que não foram coletadas amostras de solo em locais adubados. A produtividade do sítio florestal apresentou-se com tendências semelhantes às variações ocorridas na fertilidade do solo, exceto para o magnésio, que se mostrou com tendências espaciais para suporte de elevadas produtividades, de até 50 m3 ha-1 ano-1. Além de mostrar claramente as tendências observadas para as variações na fertilidade do solo, a metodologia utilizada confirma um caminho operacional acessível para empresas e produtores florestais para o manejo nutricional em florestas plantadas. O uso dos mapas facilita a mobilização de recursos para melhorar a aplicação de fertilizantes e corretivos necessários.

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By identifying energy waste streams in vehicles fuel consumption and introducing the concept of lean driving systems, a technological gap for reducing fuel consumption was identified. This paper proposes a solution to overcome this gap, through a modular vehicle architecture aligned with driving patterns. It does not address detailed technological solutions; instead it models the potential effects in fuel consumption through a modular concept of a vehicle and quantifies their dependence on vehicle design parameters (manifesting as the vehicle mass) and user behavior parameters (driving patterns manifesting as the use of a modular car in lighter and heavier mode, in urban and highway cycles). Modularity has been functionally applied in automotive industry as manufacture and assembly management strategies; here it is thought as a product development strategy for flexibility in use, driven by environmental concerns and enabled by social behaviors. The authors argue this concept is a step forward in combining technological solutions and social behavior, of which eco-driving is a vivid example, and potentially evolutionary to a lean, more sustainable, driving culture.

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Guimarães has hosted, during the year of 2012, one of the European Capital of Culture (ECOC). The evaluation of the event is needed as public, private and community funds are involved. The approach considers the tourists (domestic and international) as external and independent stakeholders who assessed the cultural activities developed during the event and the attributes of the city. The results of the survey show that hosting the 2012 ECOC was a major contribution for attracting new visitors to the city, although many of them just for a short period of time. The main source of general information collected by tourists was the Internet, and the traditional media. Only a small amount of respondents demonstrated a specialized knowledge of the cultural program. The most cited and appreciated performances came from the areas of music, exhibitions, and theatre. According to the perceptions of tourists, the tangible assets were clearly detached from the set of attributes of Guimarães, including buildings, churches and chapels, whereas intangible assets were less noted. Overall, Guimarães received a very positive evaluation related to city image and stay and is highly recommended by tourists to friends and relatives.

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Guimarães hosted the European Capital of Culture (ECOC) during the year of 2012. This study investigates the differences between Portuguese and foreign tourists regarding the main motivations to visit Guimarães and the retained perceived image of the destination. To achieve that purpose a survey was administered to 390 tourists that visited the city during the cultural event. The results show that tourists who visited Guimarães are relatively young, wealthy, employed and well educated. They are touring around the northern part of the country which includes an itinerary beginning in Porto, and extended to other important neighboring cities such as Braga or Viana do Castelo. The main motivations to visit the city, for both Portuguese and foreign tourists, are its historical heritage and the title of ECOC, the associated cultural events and celebrations that take place during 2012. However, these items were more valued by foreigners than Portuguese tourists. Using a factor analysis the tourists’ perceived attributes of Guimarães were described in four dimensions: “material heritage”, “intangible heritage”, “cultural performance”, and “sport and education”. Although foreigners and nationals perceived the tourism attributes of the city differently, the comparison of the mean scores of the four factors across Portuguese and foreigner tourists reveals that the most valued and least valued factors are common to both groups.

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This paper examines the performance of Portuguese equity funds investing in the domestic and in the European Union market, using several unconditional and conditional multi-factor models. In terms of overall performance, we find that National funds are neutral performers, while European Union funds under-perform the market significantly. These results do not seem to be a consequence of management fees. Overall, our findings are supportive of the robustness of conditional multi-factor models. In fact, Portuguese equity funds seem to be relatively more exposed to smallcaps and more value-oriented. Also, they present strong evidence of time-varying betas and, in the case of the European Union funds, of time-varying alphas too. Finally, in terms of market timing, our tests suggest that mutual fund managers in our sample do not exhibit any market timing abilities. Nevertheless, we find some evidence of timevarying conditional market timing abilities but only at the individual fund level.

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Abstract. Interest in design and development of graphical user interface (GUIs) is growing in the last few years. However, correctness of GUI's code is essential to the correct execution of the overall software. Models can help in the evaluation of interactive applications by allowing designers to concentrate on its more important aspects. This paper describes our approach to reverse engineering abstract GUI models directly from the Java/Swing code.

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Color model representation allows characterizing in a quantitative manner, any defined color spectrum of visible light, i.e. with a wavelength between 400nm and 700nm. To accomplish that, each model, or color space, is associated with a function that allows mapping the spectral power distribution of the visible electromagnetic radiation, in a space defined by a set of discrete values that quantify the color components composing the model. Some color spaces are sensitive to changes in lighting conditions. Others assure the preservation of certain chromatic features, remaining immune to these changes. Therefore, it becomes necessary to identify the strengths and weaknesses of each model in order to justify the adoption of color spaces in image processing and analysis techniques. This chapter will address the topic of digital imaging, main standards and formats. Next we will set the mathematical model of the image acquisition sensor response, which enables assessment of the various color spaces, with the aim of determining their invariance to illumination changes.

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Current software development relies increasingly on non-trivial coordination logic for com- bining autonomous services often running on di erent platforms. As a rule, however, in typical non-trivial software systems, such a coordination layer is strongly weaved within the application at source code level. Therefore, its precise identi cation becomes a major methodological (and technical) problem which cannot be overestimated along any program understanding or refactoring process. Open access to source code, as granted in OSS certi cation, provides an opportunity for the devel- opment of methods and technologies to extract, from source code, the relevant coordination information. This paper is a step in this direction, combining a number of program analysis techniques to automatically recover coordination information from legacy code. Such information is then expressed as a model in Orc, a general purpose orchestration language

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This work presents an analysis of the cultural and artistic field, positively compromised with social and political questions. The authors start with the categorization of the idea of culture and move to vindication art movements. These movements, which followed the first vanguards and worked from the compromise with “otherness”, are at the origin of the contemporary denomination of political art. In this context, the authors approach the origins of activist art, referring to issues of gender, multiculturalism, globalization, and poverty. The different forms of presenting content are also an object of analysis: from art tradition to the contamination of daily life, from local to global, from street contact to digital.

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Guimarães is a world heritage site (UNESCO) since December 2001, and is hosting the European Capital of Culture (ECOC) in 2012. This paper examines the profile, destination image and motivations of tourists’ visiting Guimarães before the cultural event. Based on survey responses from 276 tourists, this study found that tourists arrived to Guimarães came from the two most important cities in the northern part of Portugal (Porto and Braga). They are relatively young and well educated compared with the average tourists that visited Portugal. The results suggest that many tourists are aware of the city status as a world heritage site encompassing a historic centre, monuments, and architectural buildings. Further, these perceptions shape the image of Guimarães, as the factor analysis indicates that “historical background and functionality” is the most reliable and valid factor behind the choice of visiting the city. Finally, the main tourists’ motivation to choose Guimarães as theirs destination is educational, rather than recreational as they want to live a learning experience.

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The European Capital of Culture is an annual mega-event, which can provide a good forum though which to challenge and engage local citizens, thus generating feelings of common citizenship. In addition, it presents an ideal opportunity to promote the restructuring of the hosting urban space. However, the success of both the organization and the city that hosts the cultural event depends on the residents’ commitment towards it, the consistency of the tourism attractions and activities supplied, and the capacity of anticipating and monitoring the evolution of tourists’ preferences. The present study aims to assess the intention to participate and the impacts perceived by residents of Guimarães from hosting one of the 2012 European Capitals of Culture (2012 ECOC) in the ex-ante period (2011). Through a convenience sample of 471 usable surveys applied to the local population, conducted between October and December 2011, we tried to identify some of these potential impacts. According to the results received, 40% of residents had a low or very low knowledge of the cultural program, although only 11% demonstrated no intention of attending any activity during the event. The comparison of the mean scores of the expected 2012 ECOC impacts by gender reveals that the most valued and least valued factors are common to female and male respondents. With regard to the differences between those that intended to attend the event and the ones that did not, expected participants rated positive and negative impact factors more than did the ones that did not intend to attend.

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A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.