912 resultados para Data distribution


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Introducción: Las condiciones de trabajo y salud de la población trabajadora han sido estudiadas en los diferentes sectores económicos, y para esto se han aplicado diversos instrumentos para la identificación de los factores de riesgo. Sin embargo, el estudio en los trabajadores de las instituciones de educación superior, aún es escaso y limitado. Este trabajo de investigación abordó las condiciones de trabajo y salud y los factores de riesgo asociados de los empleados de laboratorios y de talleres de las diferentes unidades de una Universidad privada en Bogotá D.C. Objetivo: Determinar las condiciones de trabajo y salud del personal de laboratorios y de talleres en el 2014 de las diferentes unidades de una Universidad privada en Bogotá D.C. Métodos: Se realizó un estudio de corte transversal, en una muestra de 87 trabajadores de laboratorios y de talleres. En el análisis univariado se calcularon para las variables cualitativas frecuencias y proporciones, y para las variables cuantitativas medidas de tendencia central y dispersión acorde a la distribución de los datos. Para el análisis bivariado, se realizó la comparación de las prevalencias entre los factores de riesgo locativos, físicos, químicos, biológicos, biomecánicos y psicológicos de cada unidad y las condiciones de trabajo y salud; así como su asociación con los factores sociodemográficos y laborales, por medio de la prueba de asociación Chi-Cuadrado de Pearson. El nivel de significancia establecido fue p<0.05. Resultados: Se encontró que las variables respiración de sustancias y manipulación manual de cargas se encuentran asociadas al cargo de los trabajadores de laboratorios y de talleres. También de la muestra de trabajadores la mayoría infirió no tener una exposición significativa a los riesgos locativo, físico, biológico y psicosocial; mientras que para riesgo químico y biomecánico se encontraron frecuencias de más del 60% entre los participantes. Los hallazgos de este estudio corresponden únicamente a la percepción de los trabajadores frente a sus condiciones de trabajo y salud, puesto que no se realizaron mediciones higiénicas ni exámenes médicos a los participantes. Conclusiones: En este estudio se encontró que la exposición a riesgos locativo, físico, biológico y psicosocial es baja; mientras que es alta para riesgo químico debida a la manipulación e inhalación de sustancias químicas tóxicas, y a riesgo biomecánico a causa de las posturas prolongadas y mantenidas, la manipulación manual de cargas, los movimientos repetitivos y realizar fuerzas. En relación a las condiciones de salud mental, se encontró que la población no presenta algún estado emocional o psicológico que llame la atención, lo que en consecuencia se refleja en el buen estado de salud físico.

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IPLV overall coefficient, presented by Air-Conditioning and Refrigeration Institute (ARI) of America, shows running/operation status of air-conditioning system host only. For overall operation coefficient, logical solution has not been developed, to reflect the whole air-conditioning system under part load. In this research undertaking, the running time proportions of air-conditioning systems under part load have been obtained through analysis on energy consumption data during practical operation in all public buildings in Chongqing. This was achieved by using analysis methods, based on the statistical energy consumption data distribution of public buildings month-by-month. Comparing with the weight number of IPLV, part load operation coefficient of air-conditioning system, based on this research, does not only show the status of system refrigerating host, but also reflects and calculate energy efficiency of the whole air-conditioning system. The coefficient results from the processing and analyzing of practical running data, shows the practical running status of area and building type (actual and objective) – not clear. The method is different from model analysis which gets IPLV weight number, in the sense that this method of coefficient results in both four equal proportions and also part load operation coefficient of air-conditioning system under any load rate as necessary.

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Global communication requirements and load imbalance of some parallel data mining algorithms are the major obstacles to exploit the computational power of large-scale systems. This work investigates how non-uniform data distributions can be exploited to remove the global communication requirement and to reduce the communication cost in iterative parallel data mining algorithms. In particular, the analysis focuses on one of the most influential and popular data mining methods, the k-means algorithm for cluster analysis. The straightforward parallel formulation of the k-means algorithm requires a global reduction operation at each iteration step, which hinders its scalability. This work studies a different parallel formulation of the algorithm where the requirement of global communication can be relaxed while still providing the exact solution of the centralised k-means algorithm. The proposed approach exploits a non-uniform data distribution which can be either found in real world distributed applications or can be induced by means of multi-dimensional binary search trees. The approach can also be extended to accommodate an approximation error which allows a further reduction of the communication costs.

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For many learning tasks the duration of the data collection can be greater than the time scale for changes of the underlying data distribution. The question we ask is how to include the information that data are aging. Ad hoc methods to achieve this include the use of validity windows that prevent the learning machine from making inferences based on old data. This introduces the problem of how to define the size of validity windows. In this brief, a new adaptive Bayesian inspired algorithm is presented for learning drifting concepts. It uses the analogy of validity windows in an adaptive Bayesian way to incorporate changes in the data distribution over time. We apply a theoretical approach based on information geometry to the classification problem and measure its performance in simulations. The uncertainty about the appropriate size of the memory windows is dealt with in a Bayesian manner by integrating over the distribution of the adaptive window size. Thus, the posterior distribution of the weights may develop algebraic tails. The learning algorithm results from tracking the mean and variance of the posterior distribution of the weights. It was found that the algebraic tails of this posterior distribution give the learning algorithm the ability to cope with an evolving environment by permitting the escape from local traps.

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Nos últimos tempos, mensurar o Risco Operacional (RO) tornou-se o grande desafio para instituições financeiras no mundo todo, principalmente com a implementação das regras de alocação de capital regulatório do Novo Acordo de Capital da Basiléia (NACB). No Brasil, ao final de 2004, o Banco Central (BACEN) estabeleceu um cronograma de metas e disponibilizou uma equipe responsável pela adaptação e implementação dessas regras no sistema financeiro nacional. A Federação de Bancos Brasileiros (FEBRABAN) também divulgou recente pesquisa de gestão de RO envolvendo vários bancos. Todo esse processo trouxe uma vasta e crescente pesquisa e atividades voltadas para a modelagem de RO no Brasil. Em nosso trabalho, medimos o impacto geral nos banco brasileiros, motivado pelas novas regras de alocação de capital de RO envolvendo os modelos mais básicos do NACB. Também introduzimos um modelo avançado de mensuração de risco, chamado Loss Data Distribution (LDA), que alguns especialistas, provenientes do Risco de Mercado, convencionaram chamar de Value-at-Risk Operacional (VaR Operacional.). Ao final desse trabalho apresentamos um caso prático baseado na implementação do LDA ou VaR

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OBJETIVO: Verificar a efetividade da técnica de pressão expiratória positiva oscilante (PEPO) utilizando pressões expiratórias pré-determinadas sobre a viscosidade e a transportabilidade do escarro em pacientes com bronquiectasia. MÉTODOS: Foram incluídos no estudo 15 pacientes estáveis com bronquiectasia (7 homens; média de idade = 53 ± 16 anos), submetidos a duas intervenções PEPO consecutivas, com 24 h de intervalo entre si, utilizando pressões expiratórias de 15 cmH2O (P15) e 25 cmH2O (P25). O protocolo consistiu de tosse voluntária; nova expectoração voluntária após 20 min, denominado tempo zero (T0); repouso de 10 min; e utilização da técnica em duas séries de 10 min (S1 e S2) de PEPO em P15 e P25, com intervalo de 10 min entre si. A viscosidade e transportabilidade do escarro foram avaliadas pela viscosimetria, velocidade relativa de transporte no palato de rã, deslocamento em máquina simuladora de tosse e ângulo de adesão. As amostras de escarro foram coletadas em T0, após S1 e após S2. Testes estatísticos específicos foram aplicados de acordo com a distribuição dos dados. RESULTADOS: Houve diminuição significante da viscosidade do escarro após S1 em P15 e após S2 em P25. Não houve diferenças significantes entre todas as amostras para a transportabilidade. CONCLUSÕES: Houve diminuição da viscosidade do escarro quando a PEPO foi realizada em P15 e P25, o que sugere que não seja necessário gerar alta pressão expiratória para obter o resultado desejado.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Introduction: The reference values and prediction equations for maximal respiratory pressures (MRP) differ significantly between the available studies. This large discrepancy can be attributed to the different methodologies proposed. Although the importance of MRP is widely recognized, there are no Brazilian studies that provide predictive equations and reference values for PRM adolescents. Objectives: The purpose of this study was to provide normal values and propose predictive equations for maximal static respiratory pressures of Brazilian adolescents. Methods: An observational cross-sectional study, which evaluated 182 adolescents of both sexes aged between 12 and 18 years, enrolled in schools of the state and private in the city of Natal / RN. The selection of schools and participants of the study was randomly through a lottery system. The spirometric evaluation was performed through the digital spirometer One Flow FVC prior to the assessment of respiratory muscle strength. The MICs were measured with MVD digital manometer 300. Statistical analysis was performed using the SPSS 17.0 software STATISTICS, assigning the significance level of 5%. The normality of data distribution was verified using the Kolmogorov-Smirnov (KS). The descriptive analysis was expressed as mean and standard deviation. We used one-way ANOVA test to verify the difference of the averages of MRPs between age and gender and comparing the averages of MRPs between levels of physical activity. The test t'Student unpaired compared the averages of MRPs being ages and sexes. The comparison of mean values obtained in this study PRM with the values predicted using the equations mentioned above was relizada by testing paired t'Student. To verify the correlation between the PRM and the independent variables (age, weight, height) was used Pearson correlation test. Levene's test evaluated the homogeneity of variance. To obtain predictive equations analysis was used stepwise multiple linear regression. Results: There was no significant difference in mean age between the PRM. The male adolescents, regardless of age, showed superiority in MRP values when compared to the opposite sex. Weight, height and sex correlated with the PRM. Regression analysis suggested in this study, pointed out that the weight and sex had an influence in MIP and MEP only in relation to sex influenced. The mean for each PRM adolescents classified as very active were superior to those observed in adolescents classified as irregularly active. Conclusion: This study provides reference values and two models of predictive equations for maximal inspiratory and expiratory pressures, and to establish the lower limits of normality that will serve as an indispensable condition for careful evaluation of respiratory muscle strength in Brazilian adolescents

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In systems that combine the outputs of classification methods (combination systems), such as ensembles and multi-agent systems, one of the main constraints is that the base components (classifiers or agents) should be diverse among themselves. In other words, there is clearly no accuracy gain in a system that is composed of a set of identical base components. One way of increasing diversity is through the use of feature selection or data distribution methods in combination systems. In this work, an investigation of the impact of using data distribution methods among the components of combination systems will be performed. In this investigation, different methods of data distribution will be used and an analysis of the combination systems, using several different configurations, will be performed. As a result of this analysis, it is aimed to detect which combination systems are more suitable to use feature distribution among the components

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Dentre as etapas de produção do feijoeiro a colheita é uma das mais importantes, porque pode interferir de maneira decisiva na qualidade e no custo de produção. Assim, objetivou-se avaliar a qualidade da operação da colheita mecanizada de feijão (Phaseolus vulgaris), cultivado sob preparo convencional e plantio direto. As variáveis analisadas foram: o nível de ruído emitido, calculado através de um medidor de pressão sonora; o desempenho operacional, sendo monitorado o consumo de combustível, a patinagem dos rodados e a velocidade de deslocamento do conjunto coletados em uma central digital (datalogger); e a operação de colheita quanto à matéria seca e densidade de palhada, e as perdas na colheita. A velocidade e os consumos horário e operacional apresentaram distribuição normal dos dados, enquanto que o nível de ruído apresentou distribuição assimétrica. As perdas na colheita mecanizada de feijão e a densidade de palhada apresentaram baixa variabilidade e distribuição normal. Assim, apenas o consumo horário e a produção de matéria seca de palhada apresentaram comportamento instável em relação ao controle estatístico de processo, enquanto os demais indicadores mostraram condições de manter a qualidade da operação de colheita tanto no preparo convencional de solo quanto no plantio direto.

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The aims of this study were to characterize the presence of apathy in patients with AD, determine the relationship between apathy, motor function and cognitive function, and to verify differences among patients stratified by level of apathy in relation to cognitive and motor abilities. Methods: A cross-sectional study was conducted of 37 patients with AD. The following tests were used: MoCA, the Frontal Assessment Battery, Verbal Fluency, Clock Drawing Test, Andreotti & Okuma Battery Tests, Sit and Reach, Resistance of Upper Limbs - AAHPERD Battery Test, Sit and Lift Chair and the Apathy domain of the Neuropsychiatric Inventory. After verifying the normality of the data distribution, comparisons were made using Student's t-test and the U Mann Whitney test; relationships were also assessed using Pearson's and Spearman's correlation coefficients. All analyses were considered to be statistically significant at a p-value of 0.05. Results: 46% of participants in this study showed mild symptoms of apathy. Significant and weak associations were found (p=0.04) between apathy and the attention domain on the MoCA and between apathy and the Walk Test. Analysis of differences in cognitive and motor functions according to participants' level of apathy revealed no significant differences for any of the variables. Conclusion: Apathy was reflected in attention and the Walk Test, suggesting these variables may be related to cognitive and functional decline in AD patients.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)