The present study examined the effect of grouped meta-cognitive therapy on meta-cognitive beliefs of patients' suffering from generalized anxiety disorder. This research is a quasi-experimental with pre-test and post-test design with control group in which two groups of experiment and control are used. The present study population includes all state universities, Islamic Azad Universities of Ta...

often in modeling the engineering optimization design problems, the value of objective function(s) is not clearly defined in terms of design variables. instead it is obtained by some numerical analysis such as fe structural analysis, fluid mechanic analysis, and thermodynamic analysis, etc. yet, the numerical analyses are considerably time consuming to obtain the final value of objective functi...

Unsupervised meta-learning aims to learn the meta knowledge from unlabeled data and rapidly adapt novel tasks. However, existing approaches may be misled by context-bias (e.g. background) training data. In this paper, we abstract unsupervised problem into a Structural Causal Model (SCM) point out that such bias arises due hidden confounders. To eliminate confounders, define priors are condition...

In this study an efficient meta-heuristic is proposed for layout optimization of truss structures by combining cellular automata (CA) and firefly algorithm (FA). In the proposed meta-heuristic, called here as cellular automata firefly algorithm (CAFA), a new equation is presented for position updating of fireflies based on the concept of CA. Two benchmark examples of truss structures are presen...

background & aim: depression is a chronic and overwhelming disorder. one of the factors that could prevent the occurrence of depression is tea consumption. considering the controversial results of previous studies, the aim of this systematic and meta-analysis review study was to answer this question that whether tea consumption could decrease the risk of depression. methods & materials : by sea...