objective(s): the present study was designed to investigate the antibacterial function and pharmacological effect of elephant garlic (allium ampeloprasum var. ampeloprasum) on u2os human osteosarcoma cells.   materials and methods: seven kinds of bacteria were reconstituted, inoculated and tested in this research to evaluate elephant garlic antibacterial activity. by the means of facs analysis,...

determining the optimal location of wells with the aid of an automated search algorithm is a significant and difficult step in the reservoir development process. it is a computationally intensive task due to the large number of simulation runs required. therefore,the key issue to such automatic optimization is development of algorithms that can find acceptable solutions with a minimum number of...

This study examines investor herding behavior in Pacific-Basin equity markets. We find that herding is present in both rising and falling markets. Importantly, the level of herding is time-varying. We also find that herding is positively related to stock returns, but negatively related to market volatility. Herding estimates across markets are positively correlated, signifying co-movement of in...

this paper presents a strategy for using harmony search algorithm in facility layout optimization problems. in this paper an adapted harmony search algorithm is developed for solving facility layout optimization problems. this method finds an optimal facility arrangement in an existing layout. two real-world case studies are employed to demonstrate the efficiency of this model. a comparison is ...

Two learning algorithms were recently proposed – Herding and Fast Persistent Contrastive Divergence (FPCD) – which share the following interesting characteristic: they exploit changes in the model parameters while sampling in order to escape modes and mix better, during the sampling process that is part of the learning algorithm. We justify such approaches as ways to escape modes while approxim...

Byoung-Tak Zhang Dept. of Computer Engineering Seoul National University Seoul 151-7 42, Korea [email protected] We study the evolution of herding behavior of multiple autonomous mobile robotic agents. Agents are cloned to form a homogeneous team. Cooperation strategies for a team of the robots are represented in a neural network. An evolutionary algorithm is used to evolve the neural netw...

Market Stress and Herding* We propose a new approach to detecting and measuring herding which is based on the cross-sectional dispersion of the factor sensitivity of assets within a given market. This method enables us to evaluate if there is herding towards particular sectors or styles in the market including the market index itself and critically we can also separate such herding from common ...

Herding behavior is widely observed in auctions. There are rational reasons for herding but herding can also be counterproductive. We found evidence of herding behavior and sub-optimal outcome in a multi-winner auction setting. This study adds to the knowledge of herding by looking at herding in an auction setting where there is extra incentive to herd (multi-winner auction). Our findings recon...

so far various methods for optimization presented and one of most popular of them are optimization algorithms based on swarm intelligence and also one of most successful of them is particle swarm optimization (pso). prior some efforts by applying fuzzy logic for improving defects of pso such as trapping in local optimums and early convergence has been done. moreover to overcome the problem of i...

This paper examines herding behavior in global markets. By applying daily data for 18 countries from May 25, 1988, through April 24, 2009, we find evidence of herding in advanced stock markets (except the US) and in Asian markets. No evidence of herding is found in Latin American markets. Evidence suggests that stock return dispersions in the US play a significant role in explaining the non-US ...