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In this article, we consider the output feedback eigenvalue assignment problem for

continuous and discrete–time control systems. This problem is formulated as unconstrained matrix optimization problems and tackled by the Nelder–Mead simplex

method and particle swarm optimization method. The two methods are extended to

compute the approximate solutions of the eigenvalue assignment problem for the particular cases of decentralized and periodic control systems. The performance of the

methods is demonstrated numerically on several test problems from the benchmark

collection [22] as well as other test examples from the system and control literature.

Abstract— The optimized methods for a forecasting demand have been discussed among researchers to overview the most sufficient need in a rapid expansion city. The methods developed test and compare between all interrelated issues. Many variables are involved in the calculation of energy future demand, the prediction makes aggressive result to achieved requirements. After discussing proposed research methods a suitable and accurate approach is elected to be applied for any city to satisfy the public demand. The objectives of this research are to overview all the methods of forecasting of the electrical demand using different approaches , and come out with the most optimum suitable procedure in the field of electrical network for long and short terms. The result indicates a brilliant analysis with high contribution in the electrical industry, will find its application in a global rapid expansion city. The methods show a tradeoff between cost, reliability and complexity of operations regardless of energy generated.

Structural changes affecting cardiomyocyte function may contribute to the pathophysiological

remodeling underlying cardiac function impairment. Recent reports have shown that

endogenous nitric oxide (NO) plays an important role in this process. In order to examine the role

of NO in cardiomyocyte remodeling, male rats were acclimated to room temperature (22± 1
C) or

cold (4 ± 1
C) and treated with 2.25% L-arginine
HCl or 0.01% L-NAME (Nx-nitro-L-arginine

methyl ester)
HCl for 45 days. Untreated groups served as controls. Right heart ventricles were routinely

prepared for light microscopic examination. Stereological estimations of volume densities of

cardiomyocytes, surrounding blood vessels and connective tissue, as well as the morphometric measurements

of cardiomyocyte diameters were performed. Tissue sections were also analyzed for

structural alterations. We observed that both L-arginine and L-NAME supplementation induced

cardiomyocyte hypertrophy, regardless of ambient temperature. However, cardiomyocyte hypertrophy

was associated with fibrosis and extra collagen deposition only in the L-NAME treated group.

Taken together, our results suggest that NO has a modulatory role in right heart ventricle remodeling

by coordinating hypertrophy of cardiomyocytes and fibrous tissue preventing cardiac fibrosis.