Background. The present study is the fourth cohort study conducted in the Middle East on the evaluation of prediabetes and type 2 diabetes, implemented in Ahvaz, Iran. Methodology. The individuals aged over twenty years who had participated in a study on the prevalence of metabolic syndrome in 2009 (Phase 1) in Ahvaz were invited again in 2014. The questionnaires were completed via interview, a...

INTRODUCTION Air pollution is one of the most important problems of metropolitan cities. The level of air pollution in the city of Ahvaz is so much higher than the standard level, that it can create risks, particularly for pregnant women in the area. The aim of the study was to examine the predictors of self-care behavior of pregnant women against air pollution according to Extended Parallel Pr...

The random walk Metropolis algorithm is a simple Markov chain Monte Carlo scheme which is frequently used in Bayesian statistical problems. We propose a guided walk Metropolis algorithm which suppresses some of the random walk behavior in the Markov chain. This alternative algorithm is no harder to implement than the random walk Metropolis algorithm, but empirical studies show that it performs ...

The Metropolis process is an extremely general recipe for constructing a Markov chain which has any desired stationary distribution π on a finite set Ω. Moreover, this distribution can be specified just by a weight function w : Ω → R, so that π(x) = w(x) Z where Z is an unknown normalizing factor. The Metropolis process is named after one of its inventors [MR+53]. To specify the Metropolis proc...

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For SU(2) lattice gauge theory with the fundamental-adjoint action an efficient heat-bath algorithm is not known so that one had to rely on Metropolis simulations supplemented by overrelaxation. Implementing a novel biased Metropolis-heat-bath algorithm for this model, we find improvement factors in the range 1.45 to 2.06 over conventionally optimized Metropolis simulations. If one optimizes fu...

Sina Ebrahimi, Alireza Ghoreifi, Behnam Shakiba, Arash Azaripour, Hamid Deldadeh, Amir Reza Elahian, Mazaher Hadi, Parvin Emadi, Hamed Rajaee, Mehdi Dehghani, Lily Nosraty. Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran; Urology Department, Mashhad University of Medical Sciences, Mashhad, Iran; Students’ Scientific Research Center, Tehran University of Medical Sciences, Tehran, I...

A hybrid algorithm is proposed for pure SU(N) lattice gauge theory based on Genetic Algorithms (GA)s and the Metropolis method. We apply the hybrid GA to pure SU(2) gauge theory on a 2-dimensional lattice and find the action per plaquette and Wilson loops being consistent with those given by the Metropolis and Heatbath methods. The thermalization of this newly proposed Hybrid GA is quite faster...

The waste-recycling Monte Carlo (WRMC) algorithm introduced by physicists is a modification of the (multi-proposal) Metropolis–Hastings algorithm, which makes use of all the proposals in the empirical mean, whereas the standard (multi-proposal) Metropolis–Hastings algorithm uses only the accepted proposals. In this paper we extend the WRMC algorithm to a general control variate technique and ex...