This study aimed to statement jet stream and its impact in the anti-cyclone affecting the climate of Iraq. Through the use of simple correlation coefficient ( Pearson ) that there is a very strong relationship between high- Siberian and both of the jet stream especially during the winter or over the stations of North . Therefore we, observe the relationship be significant in most of the winter months , spring and autumn . Statistically significant , but are different between station and another station , while the study come to another Anti-ciyclon have a real ,significant and statistically relationship corrclation . But this relationship is less than which found in are much less it with the Siberian high , it depends on the type of stat

This study is qualitative, it illustrates H.G. Wells\\'s The Time Machine through the scientific and social framework of the Victorian Era. Wells\\'s portrayal of future societies examines the rapid technological progress and social changes of the 19th century. The analysis scrutinizes the division between the Eloi and the Morlocks, tracing the consequences of social division. To meet the objective of the study, Victorian frame of mind is utilized to examine the class struggle that is symbolized by the Eloi and the Morlocks. The analysis highlights the economic and social effects of industrialization and how Wells examines the capitalist system and its impact on human relationships and class division. The study also utilizes concepts from D

     Deep learning (DL) plays a significant role in several tasks, especially classification and prediction. Classification tasks can be efficiently achieved via convolutional neural networks (CNN) with a huge dataset, while recurrent neural networks (RNN) can perform prediction tasks due to their ability to remember time series data. In this paper, three models have been proposed to certify the evaluation track for classification and prediction tasks associated with four datasets (two for each task). These models are CNN and RNN, which include two models (Long Short Term Memory (LSTM)) and GRU (Gated Recurrent Unit). Each model is employed to work consequently over the two mentioned tasks to draw a road map of deep learning mod

أهمية البحث والحاجة إليه :

يعد تفعيل بناء المؤسسات التربوية ورفع مستواها من المهمات الأساسية  التي ينبغي تحقيقها من خلال تحسين دورها في التعبير عن الأرادة المجتمعية المرتبطة  والمتناغمة مع مقومات البيئة المادية والبشرية وعلى وفق متغيري الزمان والمكان، وان مسؤولية الأدارة التربوية تتمحور في أعادة النظر في هياكلها الوظيفية الادارية واستثمار الطاقات البشرية العاملة وتنظيمها ووضعها

The institutions of higher education and scientific research are the strategic institutions in the field of investing the human resources.

Expenditure on such institutions is considered a long – term investment. Thus, the financial balancing in such institutions is not a traditional one.

These institutions are not for profit organizations.

Accordingly, they need to have accounting data that are calculated on an agreed upon cost basis due to the continuous growth in the expenditure on the services rendered by these institutions. These calls for the availability of tools that help rationalize the expenditure.

Cost Accounting system is capable of providing the useful data for such purposes an

واقع الدراسات الاورومتوستطية في الجامعات العراقية "دراسة حالة كلية العلوم السياسية - جامعة بغداد"

إن التطور الهائل في منظومة تكنولوجيا المعلومات والاتصالات في العالم , أثر كثيراً في الجوانب الحياتية والاجتماعية والاقتصادية والسياسية والثقافية عامة والتربوية والتعليمية خاصة, إذ أصبح لها دور كبير في تسيير الكثير من الأمور. ولا بد من القول ان المؤسسات والمنظمات لا يمكن ان تنتقل من القرن العشرين الى القرن الحادي والعشرين إلا إذا أفادت من تكنولوجيا المعلومات والاتصالات, إذ توافر هذه التكنولوجيا الكثير من ال

المستخلص

يهدف هذا البحث إلى تصميم ومكننة نظام متطور لتقويم جودة العملية التعليمية للجامعات العراقية، باعتماد مدخل الجودة، ومكننة نظام معلومات قادر على توفير البيانات بالخصائص المطلوبة التي يمكن الاستناد إليه في اجراء عملية التقويم على وفق النظام المقترح.

اعتمد البحث على أسلوبيّ دراسة الحالة والدراسة التطبيقية، للوصول إلى النتائج ا

The Machine learning methods, which are one of the most important branches of promising artificial intelligence, have great importance in all sciences such as engineering, medical, and also recently involved widely in statistical sciences and its various branches, including analysis of survival, as it can be considered a new branch used to estimate the survival and was parallel with parametric, nonparametric and semi-parametric methods that are widely used to estimate survival in statistical research. In this paper, the estimate of survival based on medical images of patients with breast cancer who receive their treatment in Iraqi hospitals was discussed. Three algorithms for feature extraction were explained: The first principal compone

Objective: The present study aims to assess the stressful life events for patients with substance abuse in Baghdad city.
Methodology: A descriptive study was carried out at (Baghdad teaching hospital and Ibn-Rushed Psychiatric hospital).
Starting from 1
st of December 2012 to 3
rd of July 2013, A non-probability (purposive) sample of 64 patients that
diagnosed with substance abuse, the data were collected through the use of semi-structured interview by
questionnaire, which consists of three parts sociodemographic data, medical information, and Life events scale
consists of 49-items distributed to six domains including, family and social domain, health domain, security, legal and
criminal domain, work and school do