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Moral Intelligence and its Relationship with Academic Adjustment for Sixth Year Primary School Pupils
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This research aims at measuring the relationship between moral intelligence and academic adjustment for sixth year primary School Pupils.

The research is assigned to sixth year primary school pupils- Baghdad –the 2nd   karkh of the both genders .The total sample includes (500) pupils .The researchers has built two scales one for Moral Intelligence and another for Academic Adjustment and applied them on the total sample of the research .The researchers treated data by appropriate statistical means .The research has reached the following results:

  • The pupils of sixth year primary school characterized by Moral Intelligence.
  • The pupils of sixth year primary school characterized by Academic Adjustment
  • There is a positive valuable relation between Moral Intelligence and Academic Adjustment

 

According  to  these  results , the  researchers  have  given  some  recommendations  and  suggestions

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Publication Date
Tue Oct 05 2004
Journal Name
Jordan Journal Of Physical Education And Sport Sciences
التنظيم الادراكي وعلاقته بالاسلوب المعرفي التاملي الاندفاعي لدى بعض طالبات المرحلة الثانية في كلية التربية وعلوم الرياضة للبنات
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هدف ال الأسلوب المعرفيّ 􀇼 م الإد ا ركيّ 􀥽 اضة للبنات، والتعرّف على علاقة التنظ 􀈄 ة وعلوم الر 􀥽 ة البدنّ 􀥽􀈃 ة التر 􀥽 لّ 􀘗 ة في 􀥽 ات المرحلة الثانّ 􀥼 طال إنّه 􀇼 احثتان 􀥼 اضة للبنات، وأفترضت ال 􀈄 ة وعلوم الر 􀥽 ة البدنّ 􀥽􀈃 ة التر 􀥽 ل􀘗 ة في 􀥽 ات المرحلة الثان 􀥼 عض طال 􀇼 التأمّليّ الاندفاعيّ لدى اس الأسلوب المعرفيّ التأمّليّ الاندفاعيّ لدى عیّنة 􀥽 م الإد ا ركيّ ونتائج مق 􀥽 اس التنظ 􀥽 ة بین نتائج مق

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Publication Date
Fri Jun 30 2023
Journal Name
Iraqi National Journal Of Nursing Specialties
Effectiveness of Education Program on High School Males Students' Knowledge about Smoking
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Abstract

Objective(s): To evaluate high school male students' knowledge about substance use, to determine the effectiveness of the education program on high school mal students' knowledge about substance use.

 

 Methodology: A quasi-experimental (pre-posttest) design was carried out to determine the effectiveness of an educational program on knowledge of high school students about substance use in AL-Kut city. The study was started from 20th h September 2022 to 24th November 2022. The sample was non-probability (purposive sample) sample of (60) student were selected according to the study that are working in Al Kut Education Directo

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Publication Date
Tue Feb 25 2020
Journal Name
Open Access Macedonian Journal Of Medical Sciences
Evaluation of Hepatocyte Growth Factor in Iraqi Patients with Acute Myeloid Leukemia: Its Correlation with Clinical Parameters and Response to Induction Therapy
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BACKGROUND: Hepatocyte growth factor (HGF) is a proangiogenic factor that exerts different effects over stem cell survival growth, apoptosis, and adhesion. Its impact on leukemogenesis has been established by many studies. AIM: This study aimed to determine the effect of plasma HGF activity on acute myeloid leukemia (AML) patients at presentation and after remission. PATIENTS AND METHODS: This was a cross-sectional prospective study of 30 newly-diagnosed, adult, and AML patients. All patients received the 7+3 treatment protocol. Patients’ clinical data were taken at presentation, and patients were followed up for 6 months to evaluate the clinical status. Plasma HGF levels were estimated by ELISA based methods in the pa

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Publication Date
Wed Sep 27 2023
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Genetic Polymorphism in TNF-α Promoter Region: Its Association with Severity and Susceptibility to Rheumatoid Arthritis in Iraqi Patients with Active Disease
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Objectives: To study the prevalence of rs1799964 (-1031 T/C) and rs361525 (- 238 G/A) SNPs and their effect on the disease activity, severity, and cytokines production in newly diagnosed Iraqi rheumatoid arthritis patients. Patients and Methods: sixty-three patients were diagnosed by a specialist physician while attending the rheumatology unit and twenty control participated. The inflammatory markers were measured and PCR amplification and sequencing were performed to demonstrate TNF-α SNPs. Results: Regarding (-1031 C/T) SNP, the TT genotype and allele C were significantly present in the controls, and the CT genotype was distributed significantly in the patients. The TT genotype was mostly distributed in the mild-moder

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Publication Date
Wed Nov 01 2023
Journal Name
Al-rafidain Journal Of Medical Sciences ( Issn 2789-3219 )
After Introducing Artificial Intelligence, can Pharmacists Still Find a Job?
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Publication Date
Fri Aug 16 2024
Journal Name
International Journal Of Mathematics And Computer Science
Artificial Intelligence Techniques to Identify Individuals through Palm Image Recognition
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Artificial intelligence (AI) is entering many fields of life nowadays. One of these fields is biometric authentication. Palm print recognition is considered a fundamental aspect of biometric identification systems due to the inherent stability, reliability, and uniqueness of palm print features, coupled with their non-invasive nature. In this paper, we develop an approach to identify individuals from palm print image recognition using Orange software in which a hybrid of AI methods: Deep Learning (DL) and traditional Machine Learning (ML) methods are used to enhance the overall performance metrics. The system comprises of three stages: pre-processing, feature extraction, and feature classification or matching. The SqueezeNet deep le

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Publication Date
Mon Jan 01 2024
Journal Name
International Journal Of Mathematics And Computer Science
Artificial Intelligence Techniques to Identify Individuals through Palm Image Recognition
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Artificial intelligence (AI) is entering many fields of life nowadays. One of these fields is biometric authentication. Palm print recognition is considered a fundamental aspect of biometric identification systems due to the inherent stability, reliability, and uniqueness of palm print features, coupled with their non-invasive nature. In this paper, we develop an approach to identify individuals from palm print image recognition using Orange software in which a hybrid of AI methods: Deep Learning (DL) and traditional Machine Learning (ML) methods are used to enhance the overall performance metrics. The system comprises of three stages: pre-processing, feature extraction, and feature classification or matching. The SqueezeNet deep le

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Publication Date
Sat Aug 17 2024
Journal Name
International Academic Journal Of Applied Bio-medical Sciences
Review of Relationship of Acanthamoeba spp. With some Species of bacteria in lenses lesion from Iraqi patients
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The dangerous and potentially blinding condition known as Acanthamoeba keratitis is caused by free-living amoebae of the genus Acanthamoeba. The prevalence of AIDS patients and contact lens wearers has increased in recent years, making cannaeba infections more significant. It's interesting to note that, depending on the parasite, host, and environmental conditions, the pathways linked to Acanthamoeba pathogenesis are frequently extremely complex. Notwithstanding our progress in antibiotic therapy and supportive care, the prevalence of Acanthamoeba keratitis has not decreased

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Publication Date
Fri May 01 2020
Journal Name
International Journal Of Psychosocial Rehabilitation
Relationship of some fitness elements with the performance of lifting the iron ball (weight) by gliding method
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AS Muhsen, International Journal of Psychosocial Rehabilitation (1475-7192), 2020 - Cited by 1

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Publication Date
Fri Nov 28 2025
Journal Name
Arabian Journal For Science And Engineering
Role of Artificial Intelligence in Enhancing Efficiency and Sustainability in Middle Eastern Oil and Gas: A Review
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This review examines how artificial intelligence (AI) including machine learning (ML), deep learning (DL), and the Internet of Things (IoT) is transforming operations across exploration, production, and refining in the Middle Eastern oil and gas sector. Using a systematic literature review approach, the study analyzes AI adoption in upstream, midstream, and downstream activities, with a focus on predictive maintenance, emission monitoring, and digital transformation. It identifies both opportunities and challenges in applying AI to achieve environmental and economic goals. Although adoption levels vary across the region, countries such as Saudi Arabia, the UAE, and Qatar are leading initiatives that align with global sustainability targets.

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