As the analog of the free energy for dynamical trajectories, the large deviation function plays a central role in the statistical mechanics of systems far from equilibrium. Here, we identify numerical issues that can arise when the model of interest evolves according to a continuous-time dynamics. This analysis motivates the introduction of an algorithm in which a list of previously visited sta...

in this study, the relationship between components of knowledge management on the basis of m. mc olrvy model and social capital has been studied, statistical population consisted of employees of ministry of energy, who were selected among employees of hamedan regional power and were 420 subjects. research tool is a questionnaire and spss statistical software is used for data analysis and struct...

wind speed is one of the characteristics of wind energy which its data is extracted from meteorological stations. in this study, the data obtained from the weather station in the city eqlid during a ten-year period has been used. weibull distribution was chosen as the best distribution function using fitting tests and estimation of some statistical parameters. the results showed that the averag...

In this paper, a novel analytical method was developed based on statistical energy analysis framework to evaluate sound transmission loss through ventilated windows. The proposed method was compared to numerical and analytical models available in the literature. Results showed the success and advantage of the proposed model in predicting the acoustic performance of the ventilated window and the...

objective: the aim of this study is to explore the confirmatory factor analysis results of the persian adaptation of statistics anxiety measure (sam), proposed by earp. method: the validity and reliability assessments of the scale were performed on 298 college students chosen randomly from tabriz university in iran. confirmatory factor analysis (cfa) was carried out to determine the factor stru...

functional magnetic resonance imaging (fmri) is a safe and non-invasive way to assess brain functions by using signal changes associated with brain activity. the technique has become a ubiquitous tool in basic, clinical and cognitive neuroscience. this method can measure little metabolism changes that occur in active part of the brain. we process the fmri data to be able to find the parts of br...