963 resultados para G8 Summit
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Initial bacterial colonization, including colonization with health-positive bacteria, such as bifidobacteria and lactobacilli, is necessary for the normal development of intestinal innate and adaptive immune defenses. The predominance of beneficial bacteria in the gut microflora of breast-fed infants is thought to be, at least in part, supported by the metabolism of the complex mixture of oligosaccharides present in human breast milk, and a more adult-type intestinal microbiota is found in formula-fed infants. Inadequate gut colonization, dysbiosis, may lead to an increased risk of infectious, allergic, and autoimmune disorders later in life. The addition of appropriate amounts of selected prebiotics to infant formulas can enhance the growth of bifidobacteria or lactobacilli in the colonic microbiota and, thereby, might produce beneficial effects. Among the substrates considered as prebiotics are the oligosaccharides inulin, fructo-oligosaccharides, galacto-oligosaccharides, and lactulose. There are some reports that such prebiotics have beneficial effects on various markers of health. For example, primary prevention trials in infants have provided promising data on prevention of infections and atopic dermatitis. Additional well-designed prospective clinical trials and mechanistic studies are needed to advance knowledge further in this promising field. (J Pediatr 2009;155:S61-70).
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The impending threat of global climate change and its regional manifestations is among the most important and urgent problems facing humanity. Society needs accurate and reliable estimates of changes in the probability of regional weather variations to develop science-based adaptation and mitigation strategies. Recent advances in weather prediction and in our understanding and ability to model the climate system suggest that it is both necessary and possible to revolutionize climate prediction to meet these societal needs. However, the scientific workforce and the computational capability required to bring about such a revolution is not available in any single nation. Motivated by the success of internationally funded infrastructure in other areas of science, this paper argues that, because of the complexity of the climate system, and because the regional manifestations of climate change are mainly through changes in the statistics of regional weather variations, the scientific and computational requirements to predict its behavior reliably are so enormous that the nations of the world should create a small number of multinational high-performance computing facilities dedicated to the grand challenges of developing the capabilities to predict climate variability and change on both global and regional scales over the coming decades. Such facilities will play a key role in the development of next-generation climate models, build global capacity in climate research, nurture a highly trained workforce, and engage the global user community, policy-makers, and stakeholders. We recommend the creation of a small number of multinational facilities with computer capability at each facility of about 20 peta-flops in the near term, about 200 petaflops within five years, and 1 exaflop by the end of the next decade. Each facility should have sufficient scientific workforce to develop and maintain the software and data analysis infrastructure. Such facilities will enable questions of what resolution, both horizontal and vertical, in atmospheric and ocean models, is necessary for more confident predictions at the regional and local level. Current limitations in computing power have placed severe limitations on such an investigation, which is now badly needed. These facilities will also provide the world's scientists with the computational laboratories for fundamental research on weather–climate interactions using 1-km resolution models and on atmospheric, terrestrial, cryospheric, and oceanic processes at even finer scales. Each facility should have enabling infrastructure including hardware, software, and data analysis support, and scientific capacity to interact with the national centers and other visitors. This will accelerate our understanding of how the climate system works and how to model it. It will ultimately enable the climate community to provide society with climate predictions, which are based on our best knowledge of science and the most advanced technology.
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Foram analisados espectros óticos de fenda longa das galáxias Seyfert 1 ESO362-G18 e Seyfert 2 ESO362-G8. Estas duas galáxias apresentam emissão por gás de alta excitação em forma anisotrópica, possivelmente devido a colimação por um tóro de poeira. O objetivo do presente trabalho consiste em estudar o contínuo e a região estendida de linhas de emissão (ENLR) destes objetos. Este trabalho constitui-se no primeiro estudo detalhado realizado sobre estas galáxias. A população estelar em cada galáxia e caracterizada em função da distância ao núcleo. O contínuo nuclear e estudado em termos de duas componentes: a população estelar e a componente AGN (\Active Galatic Nuclei"). Observa-se a presença desta componente AGN na gal axia Seyfert 1 ESO362-G18. A galáxia Seyfert 2 não permite observar esta componente AGN mesmo depois de subtraída a componente de população estelar. Nas duas galáxias observa-se importante contribuição de população de idade intermediária ( 5 108 anos). A partir das linhas estreitas de emissão, mapeamos a excitação do gás interestelar ao longo da ENLR. As razões entre estas linhas de emissão são reproduzidas a partir de um modelo de fotoionização de duas componentes - uma componente limitada por matéria ("matter-bounded") e uma componente limitada por ionização ("ionization-bounded"). Este modelo, construído utilizando o código de fotoionização MAPPINGS Ic, se propõe a resolver os problemas apresentados pelos modelos tradicionais de uma componente apenas. A partir dos resultados obtidos com o modelo de duas componentes, determinamos o fator de preenchimento e o fator de cobertura do gás em função da distância ao núcleo. Utilizamos estes parâmetros para testar a consistência do modelo proposto. Por fim realizase o cálculo de balanço de fótons e estuda-se a natureza do contínuo infravermelho (IR) médio e distante - comparando-se a luminosidade observada no IR, calculada a partir dos fluxos IRAS, com a luminosidade predita para um tóro que envolve a fonte modelada e re-emite a radiação incidente no infravermelho.
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