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Analysis of computer textbooks content for intermediate stage according to the theory of multiple intelligence
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The purpose of current study is to analyze the computer textbooks content for intermediate stage in Iraq according to the theory of multiple intelligence. By answering the following question “what is the percentage of availability of multiple intelligence in the content of the computer textbooks on intermediate stage (grade I, II) for the academic year (2017-2018)? The researcher followed the descriptive analytical research approach (content analysis), and adopted an explicit idea for registration. The research tool was prepared according the Gardner’s classification of multiple intelligence. It has proven validity and reliability. The study found the percentage of multiple intelligence in the content of computer textbooks for the intermediate stages (grade I, II) separately (40%), (59%) respectively, collectively (66.67%).  

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Publication Date
Mon May 01 2017
Journal Name
دراسات عربیة فی التربیة وعلم النفس
المتطلبات التدريبية لمدرسي المرحلة الإعدادية المتعلقة بمحتوى کتب الرياضيات وآليات تنفيذه وفقاً للمعايير العالمية
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هدف البحث التعرف على المتطلبات التدريبية لمدرسي المرحلة الإعدادية المتعلقة بمحتوى کتب الرياضيات واليات تنفيذه وفقا للمعايير العالمية , تَمَّ الاستعانة بالمنهج الوصفي التحليلي لتحليل محتوى ( (NCTM- المجلس القومي لمعلمي الرياضيات- لاعداد قائمة بمعايير الرياضيات المدرسية , کما استعان الباحثان بالمنهج الوصفي الدراسات المسحية لجمع المعلومات من مدرسي الرياضيات عينة البحث لتحديد المتطلبات التدريبية لديهم . تکونت

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Publication Date
Mon Jan 30 2023
Journal Name
مجلة العلوم القانونية
تطور مفهوم العيب وفقاً لاتفاقية الامم المتحدة بشأن عقود البيع الدولي للبضائع لسنة 1980
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يتناول البحث احكام العيب في اتفاقية الامم المتحدة بشأن عقود البيع الدولي للبضائع لسنة 1980

Publication Date
Wed Aug 06 2025
Journal Name
مجلة الباحث
الاعراض الشائعة لدى اطفال التوحد وفقاً للدليل الاحصائي الخامس للاضطرابات النفسية والعقلية (DSM-5)
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   يُعد اضطراب طيف التوحد من الاضطرابات النمائية الأكثر انتشاراً، ويشكل تحدي للأُسرة والمجتمع بأكمله، وتنوعت أساليب تشخيصه حسب الأعراض الظاهرة، وينبغي ان يتم التفريق بين هذا الإضطراب والاضطرابات النمائية الاخرى، كذلك هدف البحث إلى إعداد أداة لقياس هذا الإضطراب وفقا للدليل الإحصائي الخامس للإضطرابات النفسية والعقلية (DSM-5 ، وكذلك تعرف أكثر الأعراض شيوعاً لدى عينة من اطفال اضطراب طيف التوحد بلغت (60)

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Publication Date
Sun Mar 01 2020
Journal Name
Baghdad Science Journal
The Spatial Analysis for Bassia eriophora (Schrad.) Asch. Plant Distributed in all IRAQ by Using RS & GIS Techniques
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        Most vegetation’s are Land cover (LC) for the globe, and there is an increased attention to plants since they represent an element of balance to natural ecology and maintain the natural balance of rapid changes due to systematic and random human uses, including the subject of the current study (Bassia eriophora ) Which represent an essential part of the United Nations system for land cover classification (LCCS), developed by the World Food Organization (FAO) and the world Organization for environmental program (UNEP), to observe basic environmental elements with modern techniques. Although this plant is distributed all over Iraq, we found that this plant exists primarily in the middle

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Publication Date
Wed Apr 01 2020
Journal Name
Iop Conference Series: Earth And Environmental Science
Study for the Informal Settlement Supposed to Be Distributed by the Iraq Government for Poor People in Baghdad City - Republic of Iraq
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This paper set forth the spatial suitability of the informal settlement supposed to be distributed by the Iraqis government to poor people. The Iraqi government identified 9 locations of informal settlement in Baghdad city and acceptance it as a reality as a help for them to getting home. In this paper I discovered the suitability of those locations which one will be suitable more than others for living. The analysis process was applied using the GIS environment – spatial analysis. According to the results, It has been identified as the most important measures to identify which one of these areas suitable for development for housing by using some criteria (Distance from the city center, Proximity from transport routes, Proximity of high v

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Publication Date
Sun Jun 03 2012
Journal Name
Baghdad Science Journal
A Biochemical Study for Evaluation and Analysis of Serum Protein of Patients with Different Kidney Tumors
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The amount of protein in the serum depends on the balance between the rate of its synthesis, and that of its catabolism or loss. Abnormal metabolism may result from nutritional deficiency, enzyme deficiency, abnormal secretion of hormones, or the actions of drugs and toxins. Renal cancer is the third most common malignancy of the genitourinary system, and accounts for 3% of adult malignancies globally. Total serum proteins were measured in malignant kidney tumor, benign kidney tumors, and non tumoral kidney diseases patient groups, as well as in healthy individuals. A significant decrease (p< 0.001) of total serum protein levels in patients with malignant kidney tumors when compared with those of benign tumors, non tumoral diseases, and hea

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Publication Date
Sun Mar 31 2019
Journal Name
Journal Of Pure And Applied Microbiology
Determination of Level of 25-Hydroxy Vitamin D3 in Patients with Multiple Sclerosis and Its Effect on Disease Activity
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Publication Date
Mon Jan 01 2024
Journal Name
Baghdad Science Journal
Artificial Neural Network and Latent Semantic Analysis for Adverse Drug Reaction Detection
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Adverse drug reactions (ADR) are important information for verifying the view of the patient on a particular drug. Regular user comments and reviews have been considered during the data collection process to extract ADR mentions, when the user reported a side effect after taking a specific medication. In the literature, most researchers focused on machine learning techniques to detect ADR. These methods train the classification model using annotated medical review data. Yet, there are still many challenging issues that face ADR extraction, especially the accuracy of detection. The main aim of this study is to propose LSA with ANN classifiers for ADR detection. The findings show the effectiveness of utilizing LSA with ANN in extracting AD

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Publication Date
Thu Feb 16 2023
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Cost-effectiveness Analysis of Reference Infliximab (Remicade) Compared to its Biosimilar (Remsima) in Iraqi Patients with Rheumatoid Arthritis (Conference Paper )#
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The study objective was to conduct Pharmacoeconomics study (cost-effective analysis) between infliximab reference (Remicade) and its biosimilar (Remsima) in patients with rheumatoid arthritis (RA) in Iraqi hospitals.

This is a retrospective multicenter pharmacoeconomic analysis conducted at two large teaching governmental hospitals in Baghdad, Iraq which provided infliximab to patients with RA. Data were collected from patient’s medical records and face-to-face interviews with the patients from December 2021 to April 2022.

The study included 57 patients with rheumatoid arthritis (RA).  The patients were categorized into two groups according to the type of infliximab they received over 30 weeks: 27 patients received

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Publication Date
Fri Aug 30 2024
Journal Name
Mesopotamian Journal Of Cybersecurity
Artificial Intelligence and Cybersecurity in Face Sale Contracts: Legal Issues and Frameworks
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The sale of facial features is a new modern contractual development that resulted from the fast transformations in technology, leading to legal, and ethical obligations. As the need rises for human faces to be used in robots, especially in relation to industries that necessitate direct human interaction, like hospitality and retail, the potential of Artificial Intelligence (AI) generated hyper realistic facial images poses legal and cybersecurity challenges. This paper examines the legal terrain that has developed in the sale of real and AI generated human facial features, and specifically the risks of identity fraud, data misuse and privacy violations. Deep learning (DL) algorithms are analyzed for their ability to detect AI genera

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