Agent-based models, an instance of the wider class of connectionist models, allow bottom-up simulations of organizations constituted by a large number of interacting parts. Thus, geographical clusters of competing or complementary firms constitute an obvious field of application. This contribution explains what agent-based models are, reviews applications in the field of industrial clusters and...

conclusions according to the subjective and objective results, the new method used in anatomy education had a good effect on learning of anatomy and interested students in anatomy. besides, it decreased students’ stress at exam time. it can be a complementary method for conventional methods. it is very useful for those who need retraining courses. results using present method had remarkable eff...

Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, machine learning methods can be a promising solution to this problem. Methods: In this...

Many complex networks have an underlying modular structure, i.e., structural subunits (communities or clusters) characterized by highly interconnected nodes. The modularity has been introduced as a measure to assess the quality of clusterizations. has a global view, while in many real-world networks clusters are linked mainly locally among each other (local cluster connectivity). Here we introd...

Using computing algorithms to generate personalized learning resources provide the needs and improve capabilities, preferences, academic performance of diverse learners is creating preferred environments. As more resources, strategies techniques are frequently added these e-learning systems, input data personalize path has been growing exponentially making swift responses learner’s requests dif...

The positional clustering of co-expressed genes is common in prokaryotes (operons) and was recently described in several eukaryote organisms [1-4]. Clusters of highly expressed genes were recently revealed in the Human genome [5] and complementary study [6] suggested that such clusters might mostly consist of housekeeping genes and not of genes with similar tissue expression profiles. In order ...