Background Several scoring was developed for evaluation of children with fecal retention using plain radiograph. There are controversies about specificity and sensitivity of these scoring system. Objectives The aim of this study was to evaluate Barr, Blethyn, and Leech score in evaluation of fecal load in plain radiograph. Methods This case control study was conducted on children aged 2-14 year...

When a graph can be decomposed into clusters of well connected subgraphs, it is possible to speed up random walks taking advantage of the topology of the graph. In this work, a new random walk scheme is introduced and a condition is given when the new random walk performs better than the Metropolis algorithm.

Background: Substance abuse of a family member can be effective as an observational model regarding the tendency to substance in other members. The present study aimed determine effectiveness mindfulness-based stress reduction (MBSR) intervention distress tolerance and sensation-seeking adolescents with addicted parent Ahvaz. Methods: This was pre-test-post-test clinical trial control group. st...

We illustrate for 4D SU(2) and U(1) lattice gauge theory that sampling with a biased Metropolis scheme is essentially equivalent to using the heat bath algorithm. Only, the biased Metropolis method can also be applied when an efficient heat bath algorithm does not exist. For the examples discussed the biased Metropolis algorithm is also better suited for parallelization than the heat bath algor...

Background. This cross-sectional study evaluated rate of reported ADHD symptoms among male preschoolers in Ahvaz by different informants and rate of their agreement. Method. One hundred ninety-two 5-6-year old boys from nine kindergartens in Ahvaz were selected. Teacher and parents' Conners ADHD rating scales were used. Findings. For 133 children, questionnaires were returned. Prevalence of chi...

The waste-recycling Monte Carlo (WR) 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 only uses the accepted proposals. In this paper, we extend the WR algorithm into a general control variate technique and exh...

Monte Carlo (MC) sampling methods are widely applied in Bayesian inference, system simulation and optimization problems. The Markov Chain Monte Carlo (MCMC) algorithms are a well-known class of MC methods which generate a Markov chain with the desired invariant distribution. In this document, we focus on the Metropolis-Hastings (MH) sampler, which can be considered as the atom of the MCMC techn...

The prevalence of antibodies to Toxoplasma gondii was conducted in 300 buffaloes from Ahvaz, Kouzestan province, south west of Iran. Blood sera were screened using a Modified agglutination test (MAT) incorporating 2-mercaptoethanol. Positive reactions in sera dilutions above 1:25 were considered as indicative for the presence of T. gondii antibodies. The overall prevalence of infection in the a...

Necessary and su cient conditions for geometric con vergence in the relative supremum norm of the Metropolis Hastings simulation algorithm with a general generating function are estab lished An explicit expression for the convergence rate is given Introduction This paper discusses the convergence rate for the Metropolis Hastings simulation algorithm proposed in Hastings The Metropolis Hastings ...

BACKGROUND Population-based studies for prevalence of metabolic syndrome (M.S) in children and adolescents are relatively rare. The aim of this study was to assess the Prevalence of M.S and correlated factors among children and adolescents aged 10 to 19 years in Ahvaz. METHODS In this descriptive-analytical population- based study, 2246 children and adolescents, 10-19 years old (1113 male and...