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Loqmania commandments in the Koran And its impact in the refinement of the doctrine and morals emerging
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Luqman's story stated that human instinct, if I was brought up properly, reaches wisdom and inflicts the right to everything. It is to go to worship God and adhere to the satisfaction of morals and high morals that are ordered to meet among human beings in this life, because this worship educates in the soul the most beautiful morals needed by human beings of honesty, honesty and modesty, and the work of good and virtues, and distancing the soul from evil and vices.

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Publication Date
Sun Sep 02 2007
Journal Name
Iraqi Postgraduate Medical Journal
The Efficacy of Dextran 70 on Reticuloendothelial System in Systemically Infected Mice with Klebsiella Pneumoniae
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The reticuloendothelial system (RES) play an important role in immunity against bacterial infection and Klebsiella pneumoniae one of the most common causes of hospital-acquired infections. Dextran70 (D70), a polysaccharide, may alter functions of this system through changing many biological activities in the tissues.

Publication Date
Tue May 10 2016
Journal Name
Iraqi New Medical Journal January
Which medical specialty do I choose? The answer of Iraqi graduated doctors working in Basra
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OBJECTIVE: To determine the preferred specialties of graduated medical doctors working in Basra, and determine the factors behind their preferences. METHODS: The study was conducted in 38 primary health care centres and seven hospitals in Basra from January-June 2014. A cross-sectional study was adopted with the use of a self-administered questionnaire form. Two hundred ninety six graduated doctors were agreed to participate. Chisquare test and logistic regression were used to test the association between deciding a future speciality and influencing factors. RESULTS: The most preferred specialties were radiology and ultrasound, gynaecology and obstetrics, surgery, internal medicine, dermatology and paediatrics. Clinical specialties were sta

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Publication Date
Thu Sep 27 2012
Journal Name
Journal Of Physiological And Biomedical Sciences
The promising anticancer efficacy of parsley seeds flavonoid (apigenin) in induced mammary adenocarcinoma (AMN3) mice
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Extraction and identification of parsley (Petroselinum sativum) seeds flavonoids (apigenin), as well as evaluation its anticancer efficacy was the main aim of the current study. Thin layer chromatography results clarified that apigenin is the major flavonoid in parsley seeds. The cytotoxic effect of apigenin in mammary adenocarcinoma (AMN3) bearing mice was manifested through significant (P ≤ 0.01) reduction in tumor volume and growth rate inhibition (90.8 %) after 24 days of oral administration at a dose of 300 mg/kg body weight. The volume of tumor in the treated group reached 1354.8 mm³ while the recorded size of the control was 14758 mm³. Transplanted cancer mice showed a significant (P ≤ 0.01) elevation in concentration of liver,

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Publication Date
Fri Mar 29 2024
Journal Name
Iraqi Journal Of Science
Biological versus Topological Domains in Improving the Reliability of Evolutionary-Based Protein Complex Detection Algorithms
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     By definition, the detection of protein complexes that form protein-protein interaction networks (PPINs) is an NP-hard problem. Evolutionary algorithms (EAs), as global search methods, are proven in the literature to be more successful than greedy methods in detecting protein complexes. However, the design of most of these EA-based approaches relies on the topological information of the proteins in the PPIN. Biological information, as a key resource for molecular profiles, on the other hand, acquired a little interest in the design of the components in these EA-based methods. The main aim of this paper is to redesign two operators in the EA based on the functional domain rather than the graph topological domain. The perturb

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Publication Date
Tue Jan 18 2022
Journal Name
مجلة ديالى للعلوم الصرفة
Study the gene expression of aacC1 gene in Acinetobacter baumannii that responsible for Aminoglycoside resistance
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Publication Date
Fri Jan 01 2016
Journal Name
Journal Of The College Of Basic Education
Histological Changes in the Lung Tissues of male albino mice Exposed to Mospilan 20SG insecticide
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Publication Date
Wed Dec 31 2025
Journal Name
Al-adab Journal
Oppositional Values Stimulated by ‘Structure of Feeling’: Analysing Hester’s Character in Hawthorne’s The Scarlet Letter
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Publication Date
Sun Jan 01 2023
Journal Name
Technologies And Materials For Renewable Energy, Environment And Sustainability: Tmrees22fr
A theoretical enhancement of electronic transfer dynamics in the D35CPDT dye donor to 𝑻𝒊𝑶𝟐 acceptor
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Publication Date
Fri Jun 01 2018
Journal Name
Journal Of The College Of Languages (jcl)
A Critical Stylistic Analysis of the Ideological Positioning in Some Selected Poems by John Donne
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This paper deals with the ideological positioning of the English poet John Donne in a selected poems of his i.e Holy Sonnet X, as regards the theme of death found therein. The researchers adopt an emerging branch of stylistics, called Critical Stylistics, as proposed by Jeffries (2010) in order to uncover the ideologies of the author regarding the topic concerned and how linguistic choices are used to slant ideas. The model is comprised of ten tools of analysis which, upon being applied to the selected data, have shown how the poet exploits language resources in order to pass his ideology and influence his readers. In this paper, the workings of only one tool are presented as applied to a certain portion of the data.

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Publication Date
Thu Oct 13 2022
Journal Name
Computation
A Pattern-Recognizer Artificial Neural Network for the Prediction of New Crescent Visibility in Iraq
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Various theories have been proposed since in last century to predict the first sighting of a new crescent moon. None of them uses the concept of machine and deep learning to process, interpret and simulate patterns hidden in databases. Many of these theories use interpolation and extrapolation techniques to identify sighting regions through such data. In this study, a pattern recognizer artificial neural network was trained to distinguish between visibility regions. Essential parameters of crescent moon sighting were collected from moon sight datasets and used to build an intelligent system of pattern recognition to predict the crescent sight conditions. The proposed ANN learned the datasets with an accuracy of more than 72% in comp

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