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الضغوط النفسية والعوامل الاجتماعية المؤدية إلى الإصابة بأمراض القولون ( بحث ميداني في مدينة بغداد )
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بالنظر الظروف الراهنة التي يمر بها قطرنا ونتيجة للارتفاع معدل الاصابة بالامراض ذات الطابع النفسي – جسمي او ما تعرف بامراض سوء التكيف الناتج عن الضغوط النفسية المستمرة.

ارتأت الحاجة الى دراسة هذا النوع من المرض والتي ترجعها الباحثة الى الاسباب التالية :.

1-تعرض المواطن العراقي الى ضغوط نفسية مستمرة متمثلة بحالة الانفلات الامني والشعور بالقلق المستمر المرافق للضغط النفسي الذي يعيش فيه داخل المجتمع .

2-الظروف النفسية والاجتماعية السلبية المؤدية الى تعرض الفرد الى حالة صعبة معرضة صحته الى الخطر والمتمثلة بسوء التكيف ذات التاثير المباشر على صحة وسلامة الفرد .

3-قلة البحوث والدراسات الاجتماعية او ندرتها التي تتناول هذا المرض وخاصة مرض القولون العصبي الذي يرجع بالشكل الاساسي والمباشر الى الضغط النفسي المزمن الذي يتعرض له الفرد .

4-كثرة العوامل الاجتماعية السلبية وصراع القيم المؤدية الى ضغوط نفسية مستمرة التي يعاني منها .

5-وضع دراسة ميدانية موضوعية ( نفسية – اجتماعية ) لدراسة اسباب امراض القولون وتقتصر هذه الدراسة على العوامل النفسية – الاجتماعية وعمل دراسة بحثية في كيفية الحد من هذه الامراض وتحجيمها ومن ثم القضاء عليها من هنا تظهر الحاجة الماسة لقيام هذه الدراسة والتي تعد الاولى من نوعها بعد فحص ومتابعة المصادر والبحوث وحتى وسائل الاتصال الحديثة (الانترنيت) ولم تجد الباحثة دراسة تناولت هذا الموضوع بشكل مباشر (على حد علمها) .

 

 

 

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Publication Date
Wed Aug 01 2018
Journal Name
قضايا سياسية
اشكالية التنافس الامريكي -الروسي دراسة في السلوك السياسي الخارجي حيال المنطقة العربية(دراسة انموذج الحالة السورية)
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Publication Date
Tue Mar 01 2011
Journal Name
Journal Of Economics And Administrative Sciences
Building a mathematical model for measuring and analyzing the general equilibrium in the Iraqi economy through the IS-lm-BP model
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In order to achieve overall balance in the economy to be achieved in different markets and at one time (market commodity, monetary and labor market and the balance of payments and public budget), did not provide yet a model from which to determine the overall balance in the economy and the difficulty of finding the inter-relationship between all these markets and put them applied in the form of allowing the identification of balance in all markets at once.

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When optimizing the performance of neural network-based chatbots, determining the optimizer is one of the most important aspects. Optimizers primarily control the adjustment of model parameters such as weight and bias to minimize a loss function during training. Adaptive optimizers such as ADAM have become a standard choice and are widely used for their invariant parameter updates' magnitudes concerning gradient scale variations, but often pose generalization problems. Alternatively, Stochastic Gradient Descent (SGD) with Momentum and the extension of ADAM, the ADAMW, offers several advantages. This study aims to compare and examine the effects of these optimizers on the chatbot CST dataset. The effectiveness of each optimizer is evaluat

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