Today, the electricity power system is the most complicated engineering system has ever been made. The integrated power generating stations with power transmission lines has created a network, called complex power network. The reliability estimation of such complex power networks is a very challenging problem, as one cannot find any immediate solution methods in current literature. In this pape...

Putting health theories, research and knowledge into practice is a challenge referred to as the knowledge-toaction gap. Knowledge translation (KT), and its related concepts of knowledge mobilization, implementation science and research impact, emerged to mitigate this gap. While the social interaction view of KT has gained currency, scholars have not easily made a link between KT and the concep...

Complex network science is an interdisciplinary field of study based on graph theory, statistical mechanics, and data science. With the powerful tools now available in complex theory for topology, it obvious that topology models can be applied to enhance artificial neural models. In this paper, we provide overview most important works published within past 10 years topic theory-based optimizati...

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...

ToToday’s market place is increasingly dynamic and volatile. In this area supply network issues recently have attracted a lot of attention from industrial practitioners and academics worldwide. Chaos theory is the study of complex, nonlinear, dynamic systems. For chaotic systems, a tiny change in conditions may result in an enormous change in system output, whereas substantial changes in condit...