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Improved Naked Mole-Rat Algorithm Based on Variable Neighborhood Search for the N-Queens Problem
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     Solving problems via artificial intelligence techniques has widely prevailed in different aspects. Implementing artificial intelligence optimization algorithms for NP-hard problems is still challenging. In this manuscript, we work on implementing the Naked Mole-Rat Algorithm (NMRA) to solve the n-queens problems and overcome the challenge of applying NMRA to a discrete space set. An improvement of NMRA is applied using the aspect of local search in the Variable Neighborhood Search algorithm (VNS) with 2-opt and 3-opt. Introducing the Naked Mole Rat algorithm based on variable neighborhood search (NMRAVNS) to solve N-queens problems with different sizes. Finding the best solution or set of solutions within a plausible amount of time is the main goal of the NMRAVNS algorithm. The improvement of the proposed algorithm boosts the exploitation capability of the basic NMRA and gives a greater possibility, with the emerging search strategies, to find the global best solution. This algorithm proved successful and outperformed other algorithms and studies with a remarkable target. A detailed comparison is performed, and the data results are presented with the relevant numbers and values. NMRA and NMRAVNS comparisons are implemented and recorded. Later on, a comparison between the Meerkat Clan Algorithm, Genetic Algorithm, Particle Swarm Optimization, and NMRAVNS is tested and presented. Finally, NMRAVNS is evaluated against the examined genetic-based algorithm and listed to prove the success of the proposed algorithm. NMRAVNS outperformed previous findings and scored competitive results with a high number of queen sizes, where an average time reduction reached about 87% of other previous findings.

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Publication Date
Tue Nov 01 2016
Journal Name
World J. Pharmaceut. Res
Histological study on kidney affected by carbamazepine drug in postnatal rat
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Background: The use of antiepileptic drugs (AEDs) during pregnancy warrants several side effects and also deleterious effects on fetal development, the antiepileptic drugs have potential to affect the fetal development throughout the pregnancy although, the majority of infants born to epileptic pregnant women are normal but more expose to the malformations. Aim: The present study aimed to investigate the effect of carbamazepine drug on the kidney development at day 7 postnatally in the Albino Rat (Rattus rattus) as a mammalian model. Material & Methods: 20 healthy pregnant female rats were divided into two groups, 10 pregnant rats in each group; group one served as control group administrated distal water while group two used as experimenta

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Publication Date
Sat Oct 01 2016
Journal Name
World Journal Of Pharmaceutical Research
TERATOGENIC EFFECT OF METHOTREXATE ON HISTOGENESIS OF TESTIS IN NEWBORN RAT
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Background: Methotrexate (MTX) was one of the first drugs synthesized for a specific chemotherapeutic purpose used to inhibit folic acid (FA) for the treatment of acute lymphoblastic leukemia in children. Its history is closely related to the discovery and characterization of folic acid. It is used clinically in medicine to treat a range of cancerous and noncancerous conditions. MTX is currently used in gynecology to treat disorders arising from trophoblastic tissue, namely, ectopic pregnancy. MTX, the most frequently used diseasemodifying anti-rheumatic drug (DMARD), suppresses disease activity and reduces joint damage. The aim of study: It is designed to demonstrate the effect of MTX (7.5 mg/wk.) on the histogenesis of gonad (testis) of n

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Publication Date
Thu Mar 01 2018
Journal Name
Journal Of Engineering
Flexible Genetic Algorithm Based Optimal Power Flow of Power Systems
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Nowadays, the power plant is changing the power industry from a centralized and vertically integrated form into regional, competitive and functionally separate units. This is done with the future aims of increasing efficiency by better management and better employment of existing equipment and lower price of electricity to all types of customers while retaining a reliable system. This research is aimed to solve the optimal power flow (OPF) problem. The OPF is used to minimize the total generations fuel cost function. Optimal power flow may be single objective or multi objective function. In this thesis, an attempt is made to minimize the objective function with keeping the voltages magnitudes of all load buses, real outp

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Publication Date
Tue Nov 30 2021
Journal Name
Iraqi Journal Of Science
Text-based Steganography using Huffman Compression and AES Encryption Algorithm
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In every system of security, to keep important data confidential, we need a high degree of protection. Steganography can be defined as a way of sending confidential texts through a secure medium of communications as well as protecting the information during the process of transmission. Steganography is a technology that is used to protect users' security and privacy. Communication is majorly achieved using a network through SMS, e-mail, and so on. The presented work suggested a technology of text hiding for protecting secret texts with Unicode characters. The similarities of glyphs  provided invisibility and increased the hiding capacity. In conclusion, the proposed method succeeded in securing confidential data and achieving high p

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Publication Date
Sun Jan 01 2023
Journal Name
International Journal Of Economics And Finance Studies
INTEGRATION BETWEEN COBIT AND COSO FOR INTERNAL CONTROL AND ITS REFLECTION ON AUDITING RISK WITH CORPORATE GOVERNANCE AS THE MEDIATING VARIABLE
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Publication Date
Thu Nov 29 2018
Journal Name
Iraqi Journal Of Science
On Skew Left ∗-n-Derivations of ∗-Ring
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Publication Date
Sat Dec 30 2023
Journal Name
Iraqi Journal Of Science
Anti Obesity and Lipid - Lowering Effect of Lactobacillus Spp. as Probiotic on the Obese Rat.
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The effects of Lactobacillus acidophilus, Lactobacillus plantarum, Lactobacillus casi
and Lactobacillus rhomunas on the body weight and lipid metabolism on obese rats
were evaluated. In the body weight, the results showed significant deference
between rat groups, the group that consumed 3 probiotic strains showed reduction in
the body weight with ratio 16.63% while the group consumed 2 probiotic strains
showed decreasing with ratio 17.62% compared with control group which increased
in the body weight.In the effeci of probiotics on lipid metabolisim the results
showed significant deference between rat groups, the group that consumed 3
probiotic strains showed decreasing in the cholesterol with ratio 50.7%, triglyce

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Publication Date
Mon Oct 01 2012
Journal Name
Computers & Mathematics With Applications
Boundary element formulations for the numerical solution of two-dimensional diffusion problems with variable coefficients
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Publication Date
Wed Sep 01 2021
Journal Name
Baghdad Science Journal
Studying the Magnetohydrodynamics for Williamson Fluid with Varying Temperature and Concentration in an Inclined Channel with Variable Viscosity
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        In this paper, the Magnetohydrodynamic (MHD) for Williamson fluid with varying temperature and concentration in an inclined channel with variable viscosity has been examined. The perturbation technique in terms of the Weissenberg number  to obtain explicit forms for the velocity field has been used. All the solutions of physical parameters of the Darcy parameter , Reynolds number , Peclet number  and Magnetic parameter  are discussed under the different values as shown in plots.

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Publication Date
Thu Apr 28 2022
Journal Name
Iraqi Journal Of Science
Design of an Efficient Face Recognition Algorithm based on Hybrid Method of Eigen Faces and Gabor Filter
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Face recognition is one of the most applications interesting in computer vision and pattern recognition fields. This is for many reasons; the most important of them are the availability and easy access by sensors. Face recognition system can be a sub-system of many applications. In this paper, an efficient face recognition algorithm is proposed based on the accuracy of Gabor filter for feature extraction and computing the Eigen faces. In this work, efficient compressed feature vector approach is proposed. This compression for feature vector gives a good recognition rate reaches to 100% and reduced the complexity of computing Eigen faces. Faces94 data base was used to test method.

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