الجمود المؤسسي واثره في فشل التنمية السياسية : محاولة من اجل بناء مفهوم 

الآخر في الشعر العربي الحديث (من نكسة حزيران إلى أخريات الألفية الثانية)

يعد موضوع السلام ونبذ العنف وقبول الآخر من الموضوعات الحیویة التي اخذت تصعد على سلم الأولویات فى نهایات القرن الماضي وبداية الالفية الجديدة ، ولازال یلقى الاهتمام الكبیر من الدول نظراً للنجاحات التي حققها السلام من حیث الإعمار والمساعدة فى رسم الخطط التنمویة طویلة المدى، وتنبع ألاهمیة من صیاغة الوجدان للإنسان العراقي عبر نشر ثقافة السلام.

هدف البحث التعرف على الذكاء الروحي لدى عينة من طلبة جامعة بغداد فضلا عن التعرف على الفروق بين الطلبة في الذكاء الروحي وفق متغير النوع ( الذكور- الإناث) ، ومتغير التخصص الدراسي ( علمي – إنساني) ومتغير المرحلة الدراسية ( المرحلة الأولى-المرحلة الرابعة) تألفت عينة البحث من (300) طالباً وطالبة ، وتم تطبيق - مقياس الذكاء الروحي وهو ( من إعداد الباحثة) ، وقد اسفرت نتائج البحث عن:--إن طلبة جامعة بغداد( عينة البحث) تمتعوا بمست

The current study was concerned to address these gaps in literature by identifying: first level and type of future visions among the next graduation student, second level and type of future visions among the sample according to gender (Male- Female), third level of the illegal immigration among the sample, fourth level of the illegal immigration according to gender (Male, Female), and finally the relationship between future visions and illegal immigration. To achieve the aims of the current study, the researchers created a questionnaire for the future visions. The psychometric properties (e.g. face validity, structure validity, and reliability) were tested. Base on the current sample, results showed that the questionnaire had sound psych

The study aims to identify the degree of appreciation for the level of digital citizenship of a sample of Palestinian university students in the governorates of Gaza, and its relationship to the level of health awareness about the emerging coronavirus (covid-19). To achieve the objectives of the study, the researcher followed a descriptive approach by applying two questionnaires; the first, which consists of 30 items, was used  to measure the level of digital citizenship.  The second, which consists of 19 items, was used to measure the level of health awareness. Both questionnaires  were applied on a sample of 367 students who were electronically selected using the manner simple randomness. Results have shown that the degr

These days, it is crucial to discern between different types of human behavior, and artificial intelligence techniques play a big part in that.  The characteristics of the feedforward artificial neural network (FANN) algorithm and the genetic algorithm have been combined to create an important working mechanism that aids in this field. The proposed system can be used for essential tasks in life, such as analysis, automation, control, recognition, and other tasks. Crossover and mutation are the two primary mechanisms used by the genetic algorithm in the proposed system to replace the back propagation process in ANN. While the feedforward artificial neural network technique is focused on input processing, this should be based on the proce

Background: Suppression of quorum sensing (QS) that regulates many virulence factors, including antimicrobial resistance, in bacteria may subject the pathogenic microbes to the harmful consequences of the antibiotics, increasing their susceptibility to such drugs. Aim: The current study aimed to make an aqueous crude extract from the soil Proteus mirabilis isolate with the use of the gas chromatography-mass spectrometry (GC-MS) technique for its analysis, and then, study the impact of the extract on clinical isolates of Pseudomonas aeruginosa. Methods: Preparation of crude extracts from P. mirabilis (both organic and aqueous), which were then analyzed by GC-MS to detect the bioactive ingredients. Furthermore, the extract’s capability to i

       In the current worldwide health crisis produced by coronavirus disease (COVID-19), researchers and medical specialists began looking for new ways to tackle the epidemic. According to recent studies, Machine Learning (ML) has been effectively deployed in the health sector. Medical imaging sources (radiography and computed tomography) have aided in the development of artificial intelligence(AI) strategies to tackle the coronavirus outbreak. As a result, a classical machine learning approach for coronavirus detection from      Computerized Tomography (CT) images was developed. In this study, the convolutional neural network (CNN) model for feature extraction and support vector machine (SVM) for the classification of axial