28 resultados para 15301


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Hantavirus pulmonary syndrome (HPS) is an increasing health problem in Brazil because of encroachment of sprawling urban, agricultural, and cattle-raising areas into habitats of subfamily Sigmodontinae rodents, which serve as hantavirus reservoirs. From 1993 through June 2007, a total of 884 cases of HIPS were reported in Brazil (case-fatality rate 39%). To better understand this emerging disease, we collected 89 human serum samples and 68 rodent lung samples containing antibodies to hantavirus from a 2,500-km-wide area in Brazil. RNA was isolated from human samples and rodent lung tissues and subjected to reverse transcription-PCR. Partial sequences of nucleocapsid protein and glycoprotein genes from 22 human and 16 rodent sources indicated only Araraquara virus and Juquitiba virus lineages. The case-fatality rate of HPS was higher in the area with Araraquara virus. This virus, which may be the most virulent hantavirus in Brazil, was associated with areas that have had greater anthropogenic changes.

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Este relatório de estágio divide‐se em três partes fundamentais. A primeira consiste numa breve apresentação do Instituto de Estudos Superiores Militares (IESM), e mais concretamente do Centro de Investigação de Segurança e Defesa do IESM (CISDI). A segunda parte baseia-se numa descrição pormenorizada de todo o trabalho realizado no âmbito das atividades do CISDI, salientando o envolvimento enquanto elemento do núcleo editorial. A terceira parte diz respeito ao trabalho de investigação desenvolvido ao longo do estágio, independente das tarefas do IESM, e cujos resultados serão publicados no próximo número da Revista de Ciências Militares, uma das publicações do Instituto. Este trabalho de pesquisa e análise incidiu sobre o caso do conflito dos Grandes Lagos, e nele se pretendeu demonstrar até que ponto o Relatório Brahimi constituiu um ponto de viragem na questão do uso da força para a resolução do conflito.

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University of Iowa Department of Pathology newsletter.

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1911/03/30 (Numéro 15301).

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1910/09/01 (Numéro 15301).

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1924/01/24 (Numéro 15301).

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We have studied the structure and dipole charge-density response of nanorings as a function of the magnetic field using local-spin-density-functional theory. Two small rings consisting of 12 and 22 electrons confined by a positively charged background are used to represent the cases of narrow and wide rings. The results are qualitatively compared with experimental data existing on microrings and on antidots. A smaller ring containing five electrons is also analyzed to allow for a closer comparison with a recent experiment on a two-electron quantum ring.

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The eMinerals Virtual Organisation consists of a consortium of individuals affiliated to geographically distributed academic institutions. Collaborative tools are essential in order to facilitate cooperative work within this Virtual Organisation. The Access Grid Toolkit has been widely adopted for this purpose, delivering high quality group-to-group video and audio conferencing. We briefly mention this technology and describe the development of a Multicast Application Sharing Tool designed specifically for this environment.

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The sharing of knowledge and integration of data is one of the biggest challenges in health and essential contribution to improve the quality of health care. Since the same person receives care in various health facilities throughout his/her live, that information is distributed in different information systems which run on platforms of heterogeneous hardware and software. This paper proposes a System of Health Information Based on Ontologies (SISOnt) for knowledge sharing and integration of data on health, which allows to infer new information from the heterogeneous databases and knowledge base. For this purpose it was created three ontologies represented by the patterns and concepts proposed by the Semantic Web. The first ontology provides a representation of the concepts of diseases Secretariat of Health Surveillance (SVS) and the others are related to the representation of the concepts of databases of Health Information Systems (SIS), specifically the Information System of Notification of Diseases (SINAN) and the Information System on Mortality (SIM)