Recomendações para o desenvolvimento de uma ferramenta de suporte às primeiras decisões projetuais visando ao desempenho energético de edificações de escritório em clima quente

PEDRINI, Aldomar; SZOKOLAY, Steven. Recomendações para o desenvolvimento de uma ferramenta de suporte às primeiras decisões projetuais visando ao desempenho energético de edificações de escritório em clima quente. Ambiente Construído, Porto Alegre, v. 5, n. 1, p.39-54, jan./mar. 2005. Trimestral. Disponível em: . Acesso em: 04 out. 2010.

O perfil sociodemográfico de pacientes em pós-operatório imediato de prostatectomia

Identificar o perfil sociodemográfico de pacientes submetidos à prostatectomia. Método: estudo quantitativo, transversal e descritivo, realizado na clínica cirúrgica de um Hospital Universitário na cidade de Natal/RN/Brasil, com 50 indivíduos em pós-operatório imediato de prostatectomia. A coleta de dados deu-se com um roteiro de anamnese e exame físico. Para a análise estatística dos dados foi utilizado o Programa Statistical Package for the Social Sciences, versão 16.0. O projeto de pesquisa foi aprovado pelo Comitê de Ética da Universidade Federal do Rio Grande do Norte, protocolo nº 130/10 CEP/UFRN. Resultados: os homens entrevistados tinham idade média de 67,78 anos, 80% tinham companheiros, com número de filhos variando de zero a quatro (56%). Conclusão: o conhecimento do perfil sociodemográfico dos pacientes prostatectomizados proporciona um direcionamento das ações de enfermagem frente à realidade de vida dessa clientela, uma vez que os pacientes estudados apresentaram perfil similar ao observado em outras cidades brasileiras

Síndrome de Burnout : um estudo com guias de turismo regional em Natal-RN

Burnout is a psychological syndrome triggered in response to continuous exposure to interpersonal stressors. It is considered a multifactorial construct, which is commonly characterized by three dimensions: emotional exhaustion, dehumanization, and lack of personal accomplishment.This study aimed to verify if the three characteristics of burnout (exhaustion, lack of dehumanization and personal accomplishment) are present in people working as guides Tourism in Natal - RN. It is a descriptive and quantitative study. 109 subjects were surveyed. Data collection was done through the use of questionnaires, the instrument used was the characterization of the Burnout Scale (ECB) created and validated in Brazil by Trocoli and Tamayo (2000). In order to analyze data we used descriptive statistics, analysis of core measures, exploratory and confirmatory factor analysis, reliability analysis, cluster analysis, multiple discriminant and Spearman correlation. Factor analysis identified four factors that explain 58.3% of the total variance. Those factors were named exhaustion, deception, avoidance, and dehumanization. The reliability of the instrument, as measured by Cronbach's Alpha was 0.918, which is considered excellent reliability. The 109 subjects were grouped into three cluster, which had the deception, avoidance, and dehumanization as discriminant. It is possible to conclude that the characteristics of burnout syndrome are present in the studied population where 19 people are on the high level of burnout, moderate in 32 and 56 in the light. The correlations between socio-demographic variables studied and the dimensions of burnout, were few and weak. The variable leave for health reasons in the study appeared to be related to feelings of exhaustion and avoidance behavior appeared related to younger individuals and who work only in the activity of Receptive Tourism Guide. Verification of the incidence of burnout in individuals surveyed suggest the need to adopt intervention strategies are individual, organizational and / or combined

Previsão do índice bovespa por meio de redes neurais artificiais: uma análise comparada aos métodos tradicionais de séries de tempo

Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model