The topological structure of a dynamical network plays a pivotal part in its properties, dynamics and control. Thus, understanding and modeling the structure of a network will lead to a better knowledge of its evolutionary mechanisms and to a better cottoning on its dynamical and functional...

An experimental system for heat recovery from low-temperature flue gas based on Organic Rankine Cycle (ORC) was constructed. In the system, R123 was selected as working fluid, a scroll expander was used to produce work, and fin tubes heat exchanger was designed as evaporator. Low-temperature...

type="main" xml:id="acfi12007-abs-0001" <title type="main">Abstract</title> <p>This study is motivated by the increasing diversity among first-year accounting students and the increasing number of first-year accounting students whose majors are not in accounting related areas in UK universities. The main contribution of this...</p>

This article describes how understanding the potential characteristics of video services is very important, as it can help users or third-party applications to predict performance or to identify service strategies. For this purpose, a measurement system deployed in 11 provinces and cities in...

This study proposed a polygeneration system based on coal partial gasification, in which methanol and power were generated. This proposed system, comprising chemical and power islands, was designed and its characteristics are analyzed. The commercial software Aspen Plus was used to perform the...

A system integrating CHP (combined heating and power) subsystem based on natural gas and GSHP (ground-source heat pump subsystem) in series is proposed. By help of simulation software-Aspen Plus, the energy performance of a typical CHP&GSHP-S (S refers to ‘in series’) system was analyzed....

Green roof is an effective energy efficiency measure to reduce the building cooling load in summer and heating load in winter, in addition, it can add ecological benefit and landscape value to the community. Therefore, it has attracted extensive attention worldwide. This paper studies the...

We investigate the potential of artificial neural networks in diagnosing thyroid diseases. The robustness of neural networks with regard to sampling variations is examined using a cross‐validation method. We illustrate the link between neural networks and traditional Bayesian classifiers....