Recently databases are increasing continuously without bound, due to new data acquisition technologies. One challenge is how to gain knowledge from these large data sets. In this thesis, we analyze and improve the algorithmic solution of four problems related to knowledge discovery and data mining, making use of parallel computing; we also compare our results with related works. We design two p...

objective(s):this study aims to investigate the relationship between human papillomavirus (hpv) and breast cancer using meta- analysis. materials and methods: relevant studies were identified reviewing the national and international databases. we also increased the search sensitivity by investigating the references as well as interview with research centers and experts. finally, quality assessm...

aim and background: in recent years, experts in the field of obsessive-compulsive disorder have been trying to measure the validity and efficiency of pharmaceutical interventions. the meta-analysis evaluated the effectiveness of medication on symptoms of patients with obsessive-compulsive disorder. methods and materials: this meta-analysis was conducted on studies during the past decade in iran...

meta-analysis enables researchers to analyze the findings of studies related to the specific area in the form of a specific research question. based on the results of these reviews for the specific subject, development of new theories and experimental models is provided. often, by exploring studies in a particular field, we encounter a large number of studies which were conducted on the same va...

The minimum crossing number problem is among the oldest and most fundamental problems arising in the area of automatic graph drawing. In this paper, eight population-based meta-heuristic algorithms are utilized to tackle the minimum crossing number problem for two special types of graphs, namely complete graphs and complete bipartite graphs. A 2-page book drawing representation is employed for ...

Meta-analysis is a powerful tool to estimate measures of associations or effects based on published or unpublished reports. However, problems exist in many meta-analyses, particularly related to study heterogeneity. This article proposes a way of concluding meta-analysis results using P values, taking heterogeneity into account. There is little published research focused on evaluating conclusiv...

Quantitative studies show that meta-vinculin is ninefold more soluble in 0.6 M salt than in the 0.01 M salt buffers used to extract vinculin. Based on this finding, we have developed a protocol for the purification of meta-vinculin in 43% yield and 98% purity from a high salt extract of gizzard smooth muscle. In contrast to our earlier extraction studies, which were done on unfixed cryostat sec...

  We relax some assumptions of the traditional scheduling problem and suggest an adapted meta-heuristic algorithm to optimize efficient utilization of resources and quick response to demands simultaneously. We intend to bridge the existing gap between theory and real industrial scheduling assumptions (e.g., hot metal rolling industry, chemical and pharmaceutical industries). We adapt and evalua...

The traveling salesman problem (TSP) is one of the most important combinational optimization problems that have nowadays received much attention because of its practical applications in industrial and service problems. In this paper, a hybrid two-phase meta-heuristic algorithm called MACSGA used for solving the TSP is presented. At the first stage, the TSP is solved by the modified ant colony s...