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Asocaial acceptance to ward slow learnes by their normal peers
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هدفت الدراسة الحالية الى التعرف ما اذا كان هناك تقبل اجتماعي للتلاميذ بطيئي من قبل اقرانهم العاديين؟ وكذلك معرفة ما اذا كان هناك فروق ذات دلالة في التقبل الاجتماعي بين افراد عينة الدراسة على وفق المتغيرات الاتية:

أ- العمر (9-13)

ب- الجنس (ذكور –اناث)

ج- المرحلة الدراسية

د- الحالة الاقتصادية (جيدة –متوسطة –جيدة جدا)

    ولغرض تحقيق اهداف الدراسة قامت الباحثة ببناء اداة تم جمع فقراتها من الادبيات والدراسات السابقة ولغرض ايجاد صدق وثبات الاداة اتبعت الاجراءات المتفق عليها لايجاد الصدق الظاهري ، والصدق التلازمي لفقرات الاداة.

كما تم ايجاد ثبات الاداة باستخدام طريقة كيودر– ريتشارد سون الصيغة (20).

وبعد ان تم التأكد من صلاحية الاداة للاستخدام ، قامت الباحثة بتطبيقها على عينة من التلاميذ العاديين من الصف (الرابع - الخامس) الابتدائي ممن تتراوح اعمارهم     (13-9) سنة ومن كلا الجنسين ، اذبلغ عدد افراد العينة (200) تلميذ وتلميذة.

ولقد تم المقارنة بين الوسط الحسابي للعينة مع الوسط الحسابي للمجتمع للتعرف على درجة التقبل الاجتماعي لدى إفراد العينة وبصورة عامة.فأشارت النتائج إلى عدم وجود تقبل اجتماعي للتلاميذ بطيئي التعلم من قبل اقرأنهم العاديين

واستخدمت الاختبار الثاني لعينتين مستقلتين في تحليل البيانات فيما يتعلق بالهدف الثاني للتعرف على دلالة الفرق في ضوء متغير العمر، استخدمت تحليل البيانات فيما يتعلق بالهدف الثاني من الدراسة للتعرف على دلالة الفرق في ضوء متغير الجنس, وكذلك استخدام اختبار للمقارنات البعدية لمعرفة دلالة الفرق في ضوء متغيري الحالة الاقتصادية والمرحلة الدراسية ، واظهرت نتائج الدراسة ان التلاميذ العاديين لايتقبلون زملائهم من بطيئي التعلم.

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Publication Date
Sat Oct 01 2022
Journal Name
Baghdad Science Journal
Offline Signature Biometric Verification with Length Normalization using Convolution Neural Network
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Offline handwritten signature is a type of behavioral biometric-based on an image. Its problem is the accuracy of the verification because once an individual signs, he/she seldom signs the same signature. This is referred to as intra-user variability. This research aims to improve the recognition accuracy of the offline signature. The proposed method is presented by using both signature length normalization and histogram orientation gradient (HOG) for the reason of accuracy improving. In terms of verification, a deep-learning technique using a convolution neural network (CNN) is exploited for building the reference model for a future prediction. Experiments are conducted by utilizing 4,000 genuine as well as 2,000 skilled forged signatu

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Publication Date
Mon Mar 07 2022
Journal Name
Journal Of Educational And Psychological Researches
Evaluating the level of readiness to teach science in the light of the information, media, and technology skills among undergraduate students at the Faculty of Education, King Khalid University
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This research aimed to evaluate the level of readiness to teach science in the light of the information, media, and technology skills among undergraduate students at the Faculty of Edu-cation, King Khalid University. To achieve this goal, a descriptive and analytical approach was used. A list of readiness to teach science was prepared in the light of Information, media, and technology skills, and in the light of this list, a cognitive test, observation sheet, and attitude scale were prepared to assess readiness to teach science in its three aspects, cognitive, behavioral, and emotional. The sample of the research consisted of (42) students enrolled in field training courses at the sixth, seventh and eighth levels. Research tools were app

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Publication Date
Fri Oct 19 2018
Journal Name
Journal Of Economics And Administrative Sciences
Big Data Approch to Enhance Organizational Ambidexterity An Exploratory Study of a Sample of Managers at ASIA Cell For Mobile Telecommunication Company in Iraq
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               The research aimed at measuring the compatibility of Big date with the organizational Ambidexterity dimensions of the Asia cell  Mobile telecommunications company in Iraq in order to determine the possibility of adoption of Big data Triple as a approach to achieve organizational Ambidexterity.

The study adopted the descriptive analytical approach to collect and analyze the data collected by the questionnaire tool developed on the Likert scale After  a comprehensive review of the literature related to the two basic study dimensions, the data has been subjected to many statistical treatments in accordance with res

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Publication Date
Mon Jun 15 2020
Journal Name
Al-academy
The effectiveness of the constructivist learning model in acquiring the Institute of Fine Arts' students of artistic analysis skills: اخلاص عبد القادر طاهر
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The constructivist learning model is one of the models of constructivist theory in learning, as it generally emphasizes the active role of the learner during learning, in addition to that the intellectual and actual participation in the various activities to help students gain the skills of analyzing artistic works. The current research aims to know the effectiveness of the constructivist learning model in the acquisition of the skills of the Institute of Fine Arts for the skills of (technical work analysis). To achieve the goal, the researcher formulated the following hypothesis: There are no statistically significant differences between the average scores of the experimental group students in the skill test for analyzing artworks befor

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Publication Date
Sat Jun 06 2020
Journal Name
Journal Of The College Of Education For Women
Image classification with Deep Convolutional Neural Network Using Tensorflow and Transfer of Learning
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The deep learning algorithm has recently achieved a lot of success, especially in the field of computer vision. This research aims to describe the classification method applied to the dataset of multiple types of images (Synthetic Aperture Radar (SAR) images and non-SAR images). In such a classification, transfer learning was used followed by fine-tuning methods. Besides, pre-trained architectures were used on the known image database ImageNet. The model VGG16 was indeed used as a feature extractor and a new classifier was trained based on extracted features.The input data mainly focused on the dataset consist of five classes including the SAR images class (houses) and the non-SAR images classes (Cats, Dogs, Horses, and Humans). The Conv

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Publication Date
Fri Mar 01 2024
Journal Name
Baghdad Science Journal
Study the Structural Properties of Porous Silicon and their Applications as Thermal Sensors
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The photo-electrochemical etching (PECE) method has been utilized to create pSi samples on n-type silicon wafers (Si). Using the etching time 12 and 22 min while maintaining the other parameters 10 mA/cm2 current density and HF acid at 75% concentration.. The capacitance and resistance variation were studied as the temperature increased and decreased for prepared samples at frequencies 10 and 20 kHz. Using scanning electron microscopy (SEM), the bore width, depth, and porosity % were validated. The formation of porous silicon was confirmed by x-ray diffraction (XRD) patterns, the crystal size was decreased, and photoluminescence (PL) spectra revealed that the emission peaks were centered at 2q of 28.5619° and 28.7644° for et

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Publication Date
Mon Mar 08 2021
Journal Name
Baghdad Science Journal
MEASURING OF FARMERS ADOPTION LEVEL FOR MODERN IRRIGATION SYSTEM AND THEIR WIDE APPLICATION
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74 fanners were randomily selected from the Lc:ital. of 406 fanners using the Modern Irrigation System up to November , 2000 , for the purpose of wide adoptation of such system. Rcsults indicated according to the data which has been obtained and statistically analysed by the statistical package for the Social Sciences (SPSS) program showed that the majority of the farmers adopted this new system of irrigation due to the increase in the yield up to 5" .

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Publication Date
Tue Jun 15 2021
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Synthesis of Mutual Prodrugs of Secnidazole and Ciprofloxacin and study Their Physicochemical Properties
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  Secnidazole was linked with ciprofloxacin as mutual prodrugs to get antibiotics with broader spectrum of activity, improved physicochemical properties and given by single dose to improve patient’s compliance. Furthermore, they provide structural modifications to overcome bacterial adaptation. The structures of the synthesized compounds were confirmed using FT-IR, mass spectrometry, elemental microanalysis (CHNO) and some physiochemical properties. This modification was led to an increase in Log P values for Mutual I (Log P 1.114) and Mutual II (Log P 1.97) compared with its values for Secnidazole (Log P -0.373) and ciprofloxacin (Log P -0.832). The solubility of prodrugs had been determined in different media, Mutual II showed 1

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Publication Date
Thu Jan 31 2019
Journal Name
Journal Of The College Of Education For Women
Psychological Barriers and Their Relationship in Cope with University Life at University' Students
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Current Thesis has aimed to identify : The Psychological barriers for university students , Differences in psychological barriers depending on the variable sex (Males – Females) , Adjustment to College life for university students, Differences in Adjustment to College at university life depending on the variable sex (Males – Females), and finally, The correlation between psychological barriers and Adjustment to College life. The researcher has prepared a sample consisted of (100) male and female students who were randomly selected from university students, The researcher has adopted a measure of (2002) to measure the psychological barriers, also the researcher adjustment scale with university life.
The results showed that universi

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Publication Date
Mon Feb 07 2022
Journal Name
Periodicals Of Engineering And Natural Sciences (pen)
Mathematical connection skills and their relationship with productive thinking among secondary school students
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