the main purpose of this research is the presentation of some prerequisites of educational theorizing with regard to ontologic components of complexity paradigm. for this purpose, by using the philosophical methods, after making mention of how ontologic components of simplicity paradigm (naive realism, linear causation, determinism) influence contemporary educational theories, ontologic compone...

in today's business environment in which coordination and adaptation with constant changes are the only ways of survival, real-time monitoring of activities and making the decisions accordingly are necessary. since performance measurement cannot be managed independent of business processes, business activity monitoring (bam) systems should monitor performance metrics based on business processes...

gene identification represents the first step to a better understanding of the physiological role of the underlying protein and disease pathways, which in turn serves as a starting point for developing therapeutic interventions. familial hypercholesterolemia is a hereditary metabolic disorder characterized by high low-density lipoprotein cholesterol levels. hypercholesterolemia is a quantitativ...

In this brief, we conduct a complex-network analysis of the Bitcoin transaction network. particular, design new sampling method, namely random walk with flying-back (RWFB), to effective data sampling. We then comprehensive network in terms degree distribution, clustering coefficient, shortest-path length, connected component, centrality, assortativity, and rich-club coefficient. obtain several ...

Background: The link prediction issue is one of the most widely used problems in complex network analysis. Link prediction requires knowing the background of previous link connections and combining them with available information. The link prediction local approaches with node structure objectives are fast in case of speed but are not accurate enough. On the other hand, the global link predicti...

Neural networks were used to estimate the cost of jet engine components, specifically shafts and cases. The neural network process was compared with results produced by the current conventional cost estimation software and linear regression methods. Due to the complex nature of the parts and the limited amount of information available, data expansion techniques such as doubling-data and data-cr...