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Serumleptin, Triglycerides, Cholestrol and Hdl- Cholestrol In Non Dlabetic Obese Subjects
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         This study was carried out to investigate the relationship between Serum leptin, Body Mass Index (BMI), Triglycerides, Cholesterol and HDL- Cholesterol in Non Diabetic Obese subjects comparing with healthy subject. A 36 male and female Iraqis obese were studied, mean age 50.1, 43.3 years respectively and 23 healthy subjects. Serum leptin, Triglycerides, Cholesterol and HDL- Cholesterol were measured. Leptin, Triglycerides, Cholesterol, HDL- Cholesterol and BMI significantly increased in obese males and females compared with control, but there was no significant difference in HDL- Cholesterol and BMI when compared between obese males and females. A low significant positive correlation was found between leptin and HDL- Cholesterol, and no significant difference between leptin and other types of lipids. The findings suggested that serum leptin concentration topmost in obese subjects with noticeable effect on lipid metabolism.   

 

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Publication Date
Wed Aug 30 2023
Journal Name
Iraqi Journal Of Science
Efficient Cloud-Based Resource Sharing Through Multi-Tenancy and Load Balancing: An Exploration of Higher Education and Digital Libraries
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      Cloud computing has gained considerable attention in academia and industry in recent years. The cloud facilitates data sharing and enables cost efficiency, thus playing a vital role today as well as for the foreseeable future. In this paper, a brief discussion the application of multi-tenant and load-balancing technologies to cloud-based digital resource sharing suitable for academic and digital libraries is presented. As a new paradigm for digital resource sharing, a proposal of improving the current user service model with private cloud storage for other sectors, including the medical and financial fields is offered. This paper gives a summary of cloud computing and its possible applications, combined with digital data optim

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Publication Date
Thu Jul 16 2020
Journal Name
Polymer Bulletin
Fabrication and evaluation of structural, thermal, mechanical and optical behavior of epoxy–TEOS/MWCNTs composites for solar cell covering
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Publication Date
Mon Oct 01 2012
Journal Name
Iraqi Journal Of Physics
Effect of carbon nanotube and Zn particles addition on the some mechanical properties and thermal conductivity of unsaturated polyester
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In this research work a composite material was prepared contains a matrix which is unsaturated polyester resin (UPE) reinforced with carbon nanotube the percentage weight (0.1, 0.2, 0.4.0.5) %, and Zn particle the percentage weight (0.1, 0.2,0.4,0.5)%.
All sample were prepared by hand lay-up, process the mechanical tests contains hardness test, wear rate test, and the coefficient of thermal conductivity. The results showed a significant improvement in the properties of overlapping, Article containing carbon nano-tubes and maicroparticles of zinc because of its articles of this characteristics of high quality properties led to an, an increase in the coefficient of the rmalconductivity, and increase the hardness values with increased pe

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Publication Date
Tue Jan 02 2007
Journal Name
Journal Of The Faculty Of Medicine Baghdad
The effect of Fenugreek oil (Iraqi fenugreek seeds' extract) on Adultuncoupled rats and mice ovaries Histological and hormonal assay.
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Background: Fenugreek herb is one of the most abundant plants in our country. The dried ripe seeds of this plant are the effective medicinal part the plant.<br />Aim of the work: The aim of this study is to determine the pharmacological effect of a new chemical substance that has been extracted from crude fenugreek seeds which has a hormonal like action and to assess the safety of this experimental material in order to recommend it in future as a stimulator for ovulation or a contraceptive pill.<br />Materials and Methods: Sixty uncoupled female rats and mice were enrolled in this study, categorized into groups as mentioned in the text. Prolactin, estradiol and progesterone serum levels where measured for all groups. Histolog

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Publication Date
Sun Jun 01 2014
Journal Name
Baghdad Science Journal
Synthesis, Characterization and Textural Analysis of Functionalized Mesoporous Silica Using Sodium Silicate as Precursor and Silicone Surfactant as Template
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Three mesoporous silica with different functional group were prepared by one-step synthesis based on the simultaneous hydrolysis and condensation of sodium silicate with organo - silane in the presence of template surfactant polydimethylsiloxane - polyethyleneoxide (PDMS - PEO). The prepared materials were characterized by Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), atomic force microscopy (AFM) and nitrogen adsorption/desorption experiments. The results indicate that the preparation of methyl and phenyl functionalized silica were successful and the mass of methyl and phenyl groups bonded to the silica structure are 15, 38 mmol per gram silica. The average diameter of the silica particles are 103.51,

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Publication Date
Fri Apr 05 2024
Journal Name
Tikret Journal Of Agricultural Sciences
Effect of adding Humic acid and spraying Boric acid on Growth and Yield of cauliflower Brassica oleracea var. botrytis
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Publication Date
Sun Mar 07 2010
Journal Name
Baghdad Science Journal
Synthesis and Polymerization of Poly Acryl Imide and One of Their Derivatives Then Curing the Product with Alkyl Halide
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The present work involved four steps: First step include reaction of acrylamide ,N-?-Methylen-bis(acryl amide) and N-tert Butyl acryl amide with poly acryloyl chloride in the presence of triethyl amine (Et3N) as catalyst, the second step include homopolymerization of all products of the first step by using benzoyl peroxide(BPO) as initiator in (80-90)Co in the presence of Nitrogen gas(N2). In the third step the poly acrylimide which prepare in second step was convert into potassium salt by using alcoholic potassium hydroxide solution. Fourth step include Alkylation of the prepared polymeric salts in third step by react it with different alkyl halides(benzyl chloride, allylbromide , methyl iodide) by using DMF as solvent for(10-12) hours.

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Publication Date
Sat Feb 02 2019
Journal Name
Journal Of The College Of Education For Women
The objective Effect of Internal and External Environment and its Psychological & Practical Reflection on the Political Decision-Making Process
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The objective Effect of Internal and External Environment and its Psychological & Practical Reflection on the Political Decision-Making Process

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Publication Date
Sun Mar 02 2008
Journal Name
Baghdad Science Journal
Effect of Some Fungal Pathogen and Some Storage Treatments on Tomato and Cucumber Fruits Under Cold Storage (8? C)
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In study carried out in the cold storage in college of Agric./Univ. of Baghdad at 8 ? C. shows that Alternaria , Pencillium , Rhizoctonia , Mucor , are the fungi that causes tomato fruits decay. This is the first record of Rhizoctonia and Mucor as a Tomato fruits rot under 8º c in Iraq. There is no fungal infection on cucumber fruits under 8 ? C. . Waxing tomato fruits reduced the severity of the fungi infection and gave shelflife (19 days) under 8 ? C. There is an infection with Mucor was found in tomato fruits kept in perforated polyethylene bages with 16 bores prevent the infection and the lowest severity and frequency of infection was found in waxed tomato fruits. Part of M.Sc thesis of the Second author.

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Publication Date
Sat Apr 30 2022
Journal Name
Revue D'intelligence Artificielle
Performance Evaluation of SDN DDoS Attack Detection and Mitigation Based Random Forest and K-Nearest Neighbors Machine Learning Algorithms
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Software-defined networks (SDN) have a centralized control architecture that makes them a tempting target for cyber attackers. One of the major threats is distributed denial of service (DDoS) attacks. It aims to exhaust network resources to make its services unavailable to legitimate users. DDoS attack detection based on machine learning algorithms is considered one of the most used techniques in SDN security. In this paper, four machine learning techniques (Random Forest, K-nearest neighbors, Naive Bayes, and Logistic Regression) have been tested to detect DDoS attacks. Also, a mitigation technique has been used to eliminate the attack effect on SDN. RF and KNN were selected because of their high accuracy results. Three types of ne

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