5 resultados para 982.04

em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo


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This study aimed to evaluate the parameters established in COFEN Resolution 293/04 concerning nursing staff dimensioning in adult intensive care units (AICU). The research was conducted in six hospitals in Sao Paulo City. The daily quantitative average of professionals needed for patient care was calculated according to the parameters established by COFEN. The obtained results were compared with the existing number of daily staff members in these units. It was observed that the proportions recommended by COFEN for the nurse category are superior to those used in the hospitals studied, which represents a challenge for Brazilian nursing. Mean care time values were found appropriate and represent important standards for dimensioning the minimum number of professionals in AICU. This study contributed to the validation of the parameters indicated in Resolution 293/04 for nursing staff dimensioning in the AICU.

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Abstract Background One goal of gene expression profiling is to identify signature genes that robustly distinguish different types or grades of tumors. Several tumor classifiers based on expression profiling have been proposed using microarray technique. Due to important differences in the probabilistic models of microarray and SAGE technologies, it is important to develop suitable techniques to select specific genes from SAGE measurements. Results A new framework to select specific genes that distinguish different biological states based on the analysis of SAGE data is proposed. The new framework applies the bolstered error for the identification of strong genes that separate the biological states in a feature space defined by the gene expression of a training set. Credibility intervals defined from a probabilistic model of SAGE measurements are used to identify the genes that distinguish the different states with more reliability among all gene groups selected by the strong genes method. A score taking into account the credibility and the bolstered error values in order to rank the groups of considered genes is proposed. Results obtained using SAGE data from gliomas are presented, thus corroborating the introduced methodology. Conclusion The model representing counting data, such as SAGE, provides additional statistical information that allows a more robust analysis. The additional statistical information provided by the probabilistic model is incorporated in the methodology described in the paper. The introduced method is suitable to identify signature genes that lead to a good separation of the biological states using SAGE and may be adapted for other counting methods such as Massive Parallel Signature Sequencing (MPSS) or the recent Sequencing-By-Synthesis (SBS) technique. Some of such genes identified by the proposed method may be useful to generate classifiers.

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Discute-se o potencial prognóstico de índices de instabilidade para eventos convectivos de verão na Região Metropolitana de São Paulo. Cinco dos oito dias do período analisado foram considerados chuvosos, com observação de tempestades a partir do meio da tarde. O Índice K (IK) obteve valores abaixo de 31 nos 5 eventos, afetado pela presença de uma camada fria e seca em níveis médios da atmosfera em relação aos baixos níveis. O Índice Total Totals (ITT) falhou na detecção de severidade em 3 dos 5 eventos, apresentando valores inferiores ao mínimo limiar tabelado para fenômenos convectivos (ITT < 44) nesses dias. O Índice Levantado (IL) variou entre -4.9 e -4.3 em todos os 5 casos, valores associados a instabilidade moderada. O Índice de Showalter (IS) indicou possibilidade de tempestades severas em 4 dos 5 casos. Tanto o IS como o CAPE Tv tiveram seus valores fortemente reduzidos em uma sondagem com camada isotérmica entre 910 e 840 hPa. As séries temporais de CAPE Tv e IL mostraram significativa concordância de fase, com alta correlação linear entre ambas. CINE Tv ≈ 0 J kg-1 em associação com baixo cisalhamento vertical e com IS, IL e CAPE Tv, pelo menos moderados, parecem ser fatores comuns em dias de verão com chuvas abundantes e pequena influência da dinâmica de grande escala na área de estudo.

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This study aimed to evaluate the parameters established in COFEN Resolution 293/04 concerning nursing staff dimensioning in adult intensive care units (AICU). The research was conducted in six hospitals in São Paulo City. The daily quantitative average of professionals needed for patient care was calculated according to the parameters established by COFEN. The obtained results were compared with the existing number of daily staff members in these units. It was observed that the proportions recommended by COFEN for the nurse category are superior to those used in the hospitals studied, which represents a challenge for Brazilian nursing. Mean care time values were found appropriate and represent important standards for dimensioning the minimum number of professionals in AICU. This study contributed to the validation of the parameters indicated in Resolution 293/04 for nursing staff dimensioning in the AICU.

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