The inaugural European Emergency Medical Dispatch conference was held in Stockholm, Sweden, in May 2013. We provide a synopsis of the conference proceedings, highlight key topic areas of emergency medical dispatch and suggest future research priorities.

Economic Dispatch Problem (EDP) has been discussed with reference to the developments based on Artificial Neural Networks (ANN) approaches. A selected survey / overview on Economic Dispatch using Artificial Neural Network within the IEE/IEEE publications frame work have been presented.

Providers of Emergency Medical Services (EMS) face the online ambulance dispatch problem, in which they decide which ambulance to send to an incoming incident. Their objective is to minimize the fraction of arrivals later than a target time. Today, the gap between existing solutions and the optimum is unknown, and we provide a bound for this gap. Motivated by this, we propose a benchmark model ...

The main purpose of this research is to determine the generation quantity of each generator in a power system. In this way, not only will the electricity demanded by the system be supplied, but the cost of fuel along with the level of pollution can be minimized. Obviously, calculation of the optimal layout of power plants with the aim of minimizing fuel costs and pollutants level contributes to...

background: primary infection with bk virus (bkv) is occurred during childhood and usually asymptomatic, but after initial infection, bkv may persist lifelong in the kidney and genitourinary tract. reactivation may occur in individuals with compromised immunity such as renal transplant recipients. due to the role of bkv in bk virus-associated nephropathy (bkvan) and potentially renal allograft ...

This essay explores the nature and implications of a type of inequality that is widespread, but largely ignored. Promises deliver important ethical value, and commercial promises, because they are our most common experience of promise with strangers, are of special value; but not all commercial promises generate that value equally. This paper makes the following claims: (1) while some retail pr...

Particle swarm optimization (PSO) has received increasing attention in solving multi-objective economic dispatch (ED) problems in power systems because of parallel computation, faster convergence, and easier implementation. This paper presents a detailed overview of multi-objective particle swarm optimization (MOPSO) and provides a comprehensive survey on its applications in power system econom...