European Journal of Molecular & Clinical Medicine

In general computing theory, Array is one of the data structures to hold a group of same data type elements.  Static array holds the underlying elements in an initial allocated memory space.  In contrast, dynamic array grows the memory allocation automatically and dynamically based on the insertion request volume.  Our research work is to leverage dynamic memory overlay array mechanism in Enterprise Data Hub.  It is continuation of our earlier work on Hybrid LRU Algorithm, which depicts about the experimental advantage of execution time optimization and efficient page/cache hit ratio, using hybrid Least Recently Used algorithm with priority mechanism.  With the ability to change the allocated space dynamically using memory overlay concept, Dynamic array improves the storage scalability and faster execution.

The experiment examined the effect of the use of Introvit A + WS-amino acidvitamin
nutrient mixture in the diet of dairy cows on the efficiency of milk production. The use of
Introvit A + WS-amino acid-vitamin in the diet resulted in an increase in milk productivity due to
balancing the protein-energy ratio in cows, an increase in milk fat and protein content, and a 5%
reduction in feed consumption due to efficient cow nutrition.

Indexing is an important process in Information Retrieval (IR) systems. It forms the core
functionality of the IR process since it is the first step in IR and assists in efficient information retrieval.
Indexing reduces the documents to the informative terms contained in them. It provides a mapping
from the terms to the respective documents containing them. Once effective index has been built for the
collection of documents, retrieval process is simplified. Indexing proceeds at four stages namely
content specification, tokenization of documents, processing of document terms, and index building.
The index can be stored in the form of different data structures namely direct index, document index,
lexicon and inverted index. Index can be built by applying different algorithms or schemes such as
single pass in memory indexing, blocked indexing, etc.

This article analyzes the role of the Anti-Corruption Agency in the implementa-tion of anti-corruption expertise of regulations based on the experience of some foreign countries. Based on the analysis of national and foreign legislation, proposals and recom-mendations have been developed to improve the anti-corruption expertise of regulations.

This article presents an evaluation of the optimal location and dimensioning of distributed generation in electrical energy distribution systems. For such evaluation, the Shuffled Frog-Leaping Algorithm has been considered. In the problem of optimal location and dimensioning, two objectives have been considered: the minimization of active losses and the improvement of the voltage profile. To compare the effectiveness of the implemented methods, IEEE-33 bus test distribution system is used. The correct location and dimensioning of the distributed generation allowed to substantially improve the network voltage profile and reduce losses for the test system.

Cognitive radio appears to be a natural solution to the problems of scale and complexity resulting from the great popularity of wireless communications and the evolution of radio technologies. A cognitive radio is an intelligent agent capable of adapting to its operational context to respect the regulatory framework controlling access to the spectrum, satisfy the user's needs in terms of quality of service, and ensure optimized management of available resources (radios, networks and equipment).This new paradigm is directly linked to the development of embedded intelligence, the subject of this paper.
In this paper, we detail the design of a cognitive engine (CE) structuring the reasoning and learning operations necessary for the supervision of the dynamic reconfiguration process.
It is noted that supervised and unsupervised learning methods have been projected for various learning tasks.This paper presents ametaheuristic that is Grey Wolf Optimization (GWO) as approximate methodfor the optimization of fitness function of proposed cognitive engine. In order to establish performance evaluation of CRaccording to different criteria that we have set, such as the bit error rate (BER), output power and channel attenuation.