The current research problem is focused on the level of human resource managers' performance of their contemporary roles and the impact of this on achieving organizational excellence. The research aims at diagnosing and interpreting the nature of the relationship between the roles of human resource manager and organizational excellence. ), And oil companies located in Baghdad governorate. The research included (boards of directors), and collected data from (83) respondents representing the research community exclusively and comprehensively

represented in the positions of function (Directors-General, Associate Directors-General, heads of departments, divisions and divisions). (49) questions, as well as th

دف البحث إلى قياس الشخصية الاستغلالية لدى طلبة الجامعة على وفق متغيرات: الجنس والتخصص والمرحلة الدراسية ، تكونت عينة البحث من (200) طالباً وطالبة من طلبة جامعة بغداد، قامت الباحثة ببناء مقياس الشخصية الاستغلالية وبعد تطبيقه على العينة وتحليل البيانات بالوسائل الاحصائية المناسبة ، اظهرت نتائج البحث عن شيوع الشخصية الاستغلالية لدى الطلبة ، وان الذكور لديهم شخصية استغلالية اكثر موازنة بالاناث كما اظهرت نتائج ا

التعلم هو المظهر الرئيسي في حياة البشرية المتحضرة ،الذي يعبر عن نشاطهم العقلي الذي وهبه الله سبحانه وتعالى ، وما على الإنسان ألا إن يستغل هذه إلهية الإلهية بأقصى ما يمكن للاستفادة منها, ومن هذا المنطلق لابد أن يعتمد المتعلم على طرق وأساليب منطقية في اكتساب المعرفة والتعامل مع المعلومات ومعالجتها ، وتعرف هذه (بأساليب التعلم styles learning) وهي الفروق الفردية في طرق التلقي والإدراك والتذكر وا

هدف البحث التعرف على الملل الأكاديمي لدى طلبة المرحلة المتوسطة، فضلا عن التعرف على الفروق في الملل الاكاديمي على وفق متغير الجنس ومتغير الصف الدراسي، استخدمت الباحثة المنهج الوصفي، تكونت عينة البحث من ( 200) طالباً وطالبة تم اختيارهم بطريقة عشوائية وبعد تطبيق مقياس الملل الاكاديمي (من اعداد الباحثة) على عينة البحث وباستخدام الوسائل الإحصائية المناسبة توصلت نتائج البحث الى ان: طلبة المرحلة المتوسطة تعاني من ال

In this work, a new development of predictive voltage-tracking control algorithm for Proton Exchange Membrane Fuel Cell (PEMFCs) model, using a neural network technique based on-line auto-tuning intelligent algorithm was proposed. The aim of proposed robust feedback nonlinear neural predictive voltage controller is to find precisely and quickly the optimal hydrogen partial pressure action to control the stack terminal voltage of the (PEMFC) model for N-step ahead prediction. The Chaotic Particle Swarm Optimization (CPSO) implemented as a stable and robust on-line auto-tune algorithm to find the optimal weights for the proposed predictive neural network controller to improve system performance in terms of fast-tracking de

Nowadays, people's expression on the Internet is no longer limited to text, especially with the rise of the short video boom, leading to the emergence of a large number of modal data such as text, pictures, audio, and video. Compared to single mode data ,the multi-modal data always contains massive information. The mining process of multi-modal information can help computers to better understand human emotional characteristics. However, because the multi-modal data show obvious dynamic time series features, it is necessary to solve the dynamic correlation problem within a single mode and between different modes in the same application scene during the fusion process. To solve this problem, in this paper, a feature extraction framework of

The research aimed at finding out the effect of functional rotation on the tax performance of the employees of the General Authority for Taxes through the five-meter questionnaire prepared according to the required data. The data obtained from the research sample were analyzed. The results showed a significant effect of recycling In the tax performance, and this is evident from the proportion of his contribution to the interpretation of the total variation, which is a good indicator of the impact of functional rotation in the performance of the body sample research.

     A geographic information system (GIS) is a very effective management and analysis tool. Geographic locations rely on data. The use of artificial neural networks (ANNs) for the interpretation of natural resource data has been shown to be beneficial. Back-propagation neural networks are one of the most widespread and prevalent designs. The combination of geographic information systems with artificial neural networks provides a method for decreasing the cost of landscape change studies by shortening the time required to evaluate data. Numerous designs and kinds of ANNs have been created; the majority of them are PC-based service domains. Using the ArcGIS Network Analyst add-on, you can locate service regions around any network