An overview of Monte Carlo as a practical method for designing and analyzing radiation detectors is provided. The emphasis is on detectors for radiation that is either directly or indirectly ionizing. This overview paper reviews some of the fundamental aspects of Monte Carlo, briefly addresses simulation of radiation transport by the Monte Carlo method, discusses the differences between direct ...

We present a sequential Monte Carlo sampler algorithm for the Bayesian analysis of generalised linear mixed models (GLMMs). These models support a variety of interesting regression-type analyses, but performing inference is often extremely difficult, even when using the Bayesian approach combined with Markov chain Monte Carlo (MCMC). The Sequential Monte Carlo sampler (SMC) is a new and general...

Global sensitivity analysis is a powerful set of ideas and heuristics for understanding the importance interplay between uncertain parameters in computational model. Such model characterized by input an output quantity interest, where we typically assume that inputs are independent their marginal densities known. If smooth, polynomial chaos can be used to extract Sobol’ indices. In this paper, ...

A Monte Carlo based power analysis is proposed for t-test to deal with non-normality and heterogeneity in real data. The step-by-step procedure of the proposed method is introduced in the paper. For comparing the performance of the Monte Carlo based power analysis to that of conventional pooled-variance t-test, a simulation study was conducted. The results indicate the Monte Carlo based power a...

aquaporins are integral membrane proteins from a larger family of major intrinsic proteins that formpores in the membrane of biological cells. aquaporins form tetramers in the cell membrane with eachmonomer acting as a water channel.in this research, the aqp4 tetramer was modeled from its pdbstructure file, then, we have performed the intraction of aquaporin4 in different temperatures (298k,300...