BACKGROUND The anticancerdrug cisplatin (CP) causes nephrotoxicity through different mechanisms, including generation of free radicals. Ellagic acid (EA) is a polyphenolic antioxidant found in fruits and nuts. AIM This study aimed to investigate the ability of different doses of EA to ameliorate CP nephrotoxicity in rats. MATERIALS AND METHODS Animals were randomly divided into six groups a...

The goal of an Evolutionary Algorithm(EA) is to find the optimal solution to a given problem by evolving a set of initial potential solutions. When the problem is multi-modal, an EA will often become trapped in a suboptimal solution(premature convergence). The ScoutingInspired Evolutionary Algorithm(SEA) is a relatively new technique that avoids premature convergence by determining whether a su...

one of the important decisions which impacts all firms’ activities is the supplier selection problem. since the 1950s, several works have addressed this problem by treating different aspects and instances. in this paper, a combined multiple criteria decision making (mcdm) technique (ea-promethee) has been applied to implement a proper decision making. to this aim, after reviewing the theoretica...

Conflict Identification in Aspect-Oriented Requirements Engineering (AORE) is an integral step toward resolving conflicting dependencies between requirements at an early stage of the software development. However, to date there has been no work supporting detection of conflicts in a large set of textual requirements without converting texts into an alternative representation (such as models or ...

We consider the application of EA modulators to analog-todigital conversion. We have previously shown that for constant input signals, optimal nonlinear decoding can achieve large gains in signal-to-noise ratio (SNR) over linear decoding. In this paper we show a similar result for band-limited input signals. The new nonlinear decoding algorithm is based on projections onto convex sets (POCS), a...

In most economic sectors organizations face rapid environmental changes like regulations. Such changes can force them to adjust both their organizational and operational structure. For instance, in the energy utility sector numerous developments moved German Public Utilities (PUs) towards a liberalized market. Nowadays PUs have to stay competitive while managing a heterogeneous information tech...

Due to correlation coefficient matrix of initialized samples are not always positive definite, this paper presents the improved Latin Hypercube Sampling (LHS) methods with Evolutionary Algorithm (EA) to control correlation and handle power system probability analysis problem. To deal with the non-positive definite correlation matrix, an improved median Latin hypercube sampling with evolutionary...

Enterprise Architecture (EA) projects require analyzing and designing across the whole enterprise and its environment. Enterprise architects, therefore, frequently develop enterprise models that span from the markets in which the organization operates down to the implementation of the IT systems that support its operations. In this paper, we present SEAM for EA: a method for defining an enterpr...

In this paper, we study the conditions in which the (1+1)-EA compares favorably to other evolutionary algorithms (EAs) in terms of tness distribution function at given iteration and the average optimization time. Our approach is applicable when the reproduction operator of an evolutionary algorithm is dominated by the mutation operator of the (1+1)-EA. In this case one can extend the lower boun...