ملخـــص البحــــث

   تعد مسألة الصفات من بواكير المباحث الكلامية التي حظيت باهتمام كبير لدى المتكلمين، إذ شغلت حيزا كبيرا من مصنفاتهم الكلامية. حتى أن بعض الباحثين يرون أن سبب تسمية علم الكلام بهذا الاسم يرجع إلى أن أهم مشكلات هذا العلم هي مسألة الكلام الإلهي الذي هو صفة من صفاته تعالى، مما يعكس أهمية هذه المسألة في علم الكلام. وكان الجعد بن درهم (ت118هـ) من أوائل من أثار قضية الصف

This research aims to investigate the approaches adopted by Iraqi newspapers in addressing the COVID-19 pandemic crisis. Employing a descriptive methodology and survey technique, the study conducts content analysis on articles published in three prominent newspapers: Al-Sabah, Al-Mada, and Tareeq Al-Shaab. A multi-stage sampling method was employed, encompassing 260 issues of the aforementioned newspapers. Data collection involved the use of a content analysis questionnaire, with the "How it was said?" method utilized to determine analysis categories.
The results showed that Al-Sabah newspaper adopted a positive approach in addressing COVID-19-related topics, while Al-Mada newspaper remained neutral, and Tare

BACKGROUND: Coronavirus current pandemic (COVID-19) is the striking subject worldwide hitting countries in an unexplained non-universal pattern. Bacillus Calmette–Guérin (BCG) vaccine was an adopted recent justification depending on its non-specific immune activation properties. Still the problem of post-vaccine short duration of protection needs to be solved. The same protective mechanism was identified in active or latent tuberculosis (TB). For each single patient of active TB, there are about nine cases of asymptomatic latent TB apparently normal individuals living within the community without restrictions carrying benefits of immune activation and involved in re-infection cycles in an excellent example of repeated immunity tr

After the outbreak of COVID-19, immediately it converted from epidemic to pandemic. Radiologic images of CT and X-ray have been widely used to detect COVID-19 disease through observing infrahilar opacity in the lungs. Deep learning has gained popularity in diagnosing many health diseases including COVID-19 and its rapid spreading necessitates the adoption of deep learning in identifying COVID-19 cases. In this study, a deep learning model, based on some principles has been proposed for automatic detection of COVID-19 from X-ray images. The SimpNet architecture has been adopted in our study and trained with X-ray images. The model was evaluated on both binary (COVID-19 and No-findings) classification and multi-class (COVID-19, No-findings

By March 2020, a pandemic had been emerged Corona Virus Infection in 2019 (COVID-19), which was triggered through the sensitive pulmonary syndrome (SARS disease corona virus- 2 (SARS COV-2). Overall precise path physiology of SARS COV-2 still unknown, as does the involvement of every element of the acute or adaptable immunity systems. Additionally, evidence from additional corona virus groups, including SARS COV as well as the Middle East pulmonary disease, besides that, fresh discoveries might help researchers fully comprehend SARS CoV-2. Toll-like receptors (TLRs) serve a critical part in both detection of viral particles as well as the stimulation of the body's immune response. When TLR systems are activated, pro-inflammatory cy

At the end of 2019, a new form of Coronavirus (later dubbed COVID-19) emerged in China and quickly spread to other regions of the globe. Despite the virus’s unique and unknown characteristics, it is a widely distributed infectious illness. Finding the geographical distribution of the virus transmission is therefore critical for epidemiologists and governments in order to respond to the illness epidemic rapidly and effectively. Understanding the dynamics of COVID-19’s spatial distribution can help to understand the pandemic’s scope and effects, as well as decision-making, planning, and community action aimed at preventing transmission. The main focus of this study is to investigate the geographic patterns of COVID-19 disseminat

هدف البحث إلى بناء مقياس التفكير المنتج بالجمناستك لطالبات، وأعتمد المنهج الوصفي بأسلوب العلاقات الارتباطية على عينة من طالبات المرحلة الثانية في كلية التربية البدنية وعلوم الرياضة للبنات/جامعة بغداد للعام الدراسي (2023/2024) البالغ عددهن الكلي (38) طالبة، وتم اختيار العينة بطريقة عمدياً بأسلوب الحصر الشامل بنسبة (100%) من المجتمع الأصل، واختير منهن (5) طالبات عشوائياً للعينة الاستطلاعية، وتم معالجة النتائج أل

إننا نتحدث عن عناصر السرعة مهمة وهي السرعة الانتقالية للأطراف السفلى والسرعة الحركية للذراع المسلحة والسرعة الحركية للطعن وسرعة رد الفعل وسرعة الاستجابة في أداء واحد او ما يسمى بالسرعة التفاعلية؛ لذا هدفت الدراسة الى اعداد تدريبات خاصة تتميز بتمازج أنواع السرعة التي تحتاجها رياضة المبارزة في أداء واحد ومن ثم معرفة تأثير تلك التدريبات في تطوير بعض الجمل الحركية في سلاح الشيش وقد استعمل المنهج التجريبي