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jperc-1589
Detecting Suicidal Tendencies among Secondary School Students
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The current research aims to detect the level of suicidal tendencies among secondary school students in terms of gender and educational stage (intermediate school students and high school students). The researcher adopted Al Hafeez's (2017) scale for suicidal tendencies, it consists of (57) items including six domains, namely: suicidal ideation, social motives for suicide, tendency to self-harm, desire for death, indifference and pessimism about life, willingness to commit suicide. The scale was modified to be (42) items after it was exposed to a group of experts. The scale was applied to a sample of (200) male and female students from secondary schools in Baghdad Governorate (Karkh - Rusafa) for the academic year 2021-2022. The results revealed that the research sample has suicidal tendencies. There are statistically significant differences between males and females in favor of males. There are no statistical differences between intermediate school students and high school students. The researcher presented a number of recommendations and suggestions.

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Publication Date
Wed Jul 01 2015
Journal Name
Journal Of Educational And Psychological Researches
الاجهاد الذهني وعلاقته بالذاكرة قصيرة المدى لدى طلبة الجامعة
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Mental stress occurs due to the effect of time that passes at an accelerated pace and doing business imposed by the speed of the match with his speed in light of the vast amount of audio and visual information through scientific progress and media workers, as well as the impact of physical factors associated with doing business, such as noise and congestion .... . etc.. The relationship of the individual to take a negative surroundings have devastating effects on the cognitive process as a whole dimension. This creates a sense of helplessness with the depletion voltage to a state of mental stress, so The problems from the standpoint of Aljhtalt scientists are basically cognitive problems appear to exist when it happens to the ind

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Publication Date
Sun Sep 29 2019
Journal Name
مجلة متون
البلادة العاطفية لدى طلبة الجامعة في ضوء متغيري النوع والتخصص الدراسي
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هدفت الدراسة الحالية التعرف على البلادة العاطفية لطلبة الجامعة وكذلك التعرف على معنوية الفروق في البلادة العاطفية تبعاً لمتغيري: النوع (ذكور-اناث) والتخصص الدراسي (علمي –انساني) ، تآلفت عينة الدراسة من (400) طالب وطالبة موزعين بالتساوي حسب النوع والتخصص الدراسي تم اختيارهم عشوائيا من طلبة الجامعة، استخدمت الباحثة مقياس البلادة العاطفية من (اعداد الباحثة) وبعد تطبيق المقياس على عينة البحث واستخراج البيانات با

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Publication Date
Sun Oct 01 2017
Journal Name
Journal Of Educational And Psychological Researches
الاخفاقات المعرفية وعلاقتها بأساليب معالجة المعلومات وحل المشكلات لدى طلبة الجامعة
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       The present research aims to know :

 The level of Cognitive failures, information processing styles, and the problem-solving among the university students ,so it is aims to know the contribution of cognitive failures on the information processing styles and problem-solving, the research sample was (400) males and females student  from the University of Wasit chosen randomly from both gender and for the study of the morning and evening .So  these scales had been used as a research tool (failures cognitive scale ,the scale of information processing styles , and the scale of problem solving) , and by using the statistical m

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Publication Date
Mon Feb 18 2019
Journal Name
Iraqi Journal Of Physics
Automated method for buried object detecting using ground penetrating radar (GPR) survey
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  Ground Penetrating Radar (GPR) is a nondestructive geophysical technique that uses electromagnetic waves to evaluate subsurface information. A GPR unit emits a short pulse of electromagnetic energy and is able to determine the presence or absence of a target by examining the reflected energy from that pulse. GPR is geophysical approach that use band of the radio spectrum. In this research the function of GPR has been summarized as survey different buried objects such as (Iron, Plastic(PVC), Aluminum) in specified depth about (0.5m) using antenna of 250 MHZ, the response of the each object can be recognized as its shapes, this recognition have been performed using image processi

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Publication Date
Sat Aug 01 2015
Journal Name
Modern Applied Science
A New Method for Detecting Cerebral Tissues Abnormality in Magnetic Resonance Images
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We propose a new method for detecting the abnormality in cerebral tissues present within Magnetic Resonance Images (MRI). Present classifier is comprised of cerebral tissue extraction, image division into angular and distance span vectors, acquirement of four features for each portion and classification to ascertain the abnormality location. The threshold value and region of interest are discerned using operator input and Otsu algorithm. Novel brain slices image division is introduced via angular and distance span vectors of sizes 24˚ with 15 pixels. Rotation invariance of the angular span vector is determined. An automatic image categorization into normal and abnormal brain tissues is performed using Support Vector Machine (SVM). St

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Publication Date
Fri Feb 04 2022
Journal Name
Neuroquantology
Detecting Damaged Buildings on Post-Hurricane Satellite Imagery based on Transfer Learning
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In this article, Convolution Neural Network (CNN) is used to detect damage and no damage images form satellite imagery using different classifiers. These classifiers are well-known models that are used with CNN to detect and classify images using a specific dataset. The dataset used belongs to the Huston hurricane that caused several damages in the nearby areas. In addition, a transfer learning property is used to store the knowledge (weights) and reuse it in the next task. Moreover, each applied classifier is used to detect the images from the dataset after it is split into training, testing and validation. Keras library is used to apply the CNN algorithm with each selected classifier to detect the images. Furthermore, the performa

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Publication Date
Wed Jun 01 2022
Journal Name
Baghdad Science Journal
Constructing a Software Tool for Detecting Face Mask-wearing by Machine Learning
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       In the pandemic era of COVID19, software engineering and artificial intelligence tools played a major role in monitoring, managing, and predicting the spread of the virus. According to reports released by the World Health Organization, all attempts to prevent any form of infection are highly recommended among people. One side of avoiding infection is requiring people to wear face masks. The problem is that some people do not incline to wear a face mask, and guiding them manually by police is not easy especially in a large or public area to avoid this infection. The purpose of this paper is to construct a software tool called Face Mask Detection (FMD) to detect any face that does not wear a mask in a specific

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Publication Date
Sun Mar 10 2024
Journal Name
Journal Of Sport And Health Research
Personal social and self-intelligence and its relationship to the performance of the individual and collective kinetic formation rhythmic gymnastics of school students.
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The study aims to follow modern methods in teaching rhythmic gymnastics skills by directing learners to develop their perceptions and absorb what the world deals with today and develop intelligence among learners, the researchers searched for the strengths of the learner by providing them with an opportunity to form their kinetic formation, hence the problem came by introducing a method of self-intelligence and social to guide the learner in the search for ways and solutions to overcome boredom and economy Time and effort in the educational process in learning and give them the freedom to express their ideas And their skills and here came the role of social and self-intelligence to teach the individual and collective kinetic formati

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Publication Date
Wed Aug 10 2022
Journal Name
Ibero-american Journal Of Exercise And Sports Psychology
The impact of mental training overlap on the development of some closed and open skills in five-aside football for middle school students
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The impact of mental training overlap on the development of some closed and open skills in five-aside football for middle school students, Ayad Ali Hussein, Haidar Abedalameer Habe

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Publication Date
Fri Jan 01 2016
Journal Name
Al–bahith Al–a'alami
The Influence of Turkish Soap Operas in the Behavior and Trends of the Iraqi Audience (A Field Study on Iraqi University's Students)
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This research seeks the effects of dubbed Turkish TV series on Iraqi audiences. The chosen sample is about 600 Iraqi students at Baghdad and al-Anbar Universities. This study consists of four sections: section one deals with the theoretical framework of the study. Section two studies the dubbed Turkish TV series. The third section explores the role of mass media in forming tendencies, and the last section seeks the field study by analyzing the tendencies if Iraqi viewers of these series.
The goal of this study is to know the role these series played in affecting the behavior and attitudes of Iraqi people and how it can change their morals.
The research ends with the number of results like the negative effect of these series on the

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