تعد الصهيونية المسيحية الداعم الابرز للسيادة الصهيونية اليهودية على القدس، ويستند هذا الموقف الذي تتخذه الصهيونية المسيحية الى مجموعة من المعتقدات التي يشكل الاعتقاد بالعودة الثانية للمسيح وتأسيسه لمملكة سعيدة تدوم لالف عام محورها، ليصبح الاهتمام بمستقبل الشعب اليهودي احد الاركان الاساسية لمعتقدات الاصوليون المسيحيون لاسيما الصهيونية المسحية، فالتفسير الحرفي للكتاب المقدس قادهم الى اعتقاد مفاده: ان عو

يهدف البحث الحالي الى استكشاف علاقات التفاعل والتاثير بين الاحتكام للمكانة والتوجه للفردية– الجماعية والدمج التنظيمي مستنداً على مزج اختلاف القيم الشخصية مع افكار نظرية الهوية الاجتماعية لبلورة نموذج البحث. وفي ضوء هذا تم صياغة عدد من الفرضيات التي توضح علاقات التفاعل ما بين ابعاد الاحتكام للمكانة والتوجه للفردية– الجماعية للتنبؤ بوجود الدمج التنظيمي. جمعت البيانات باستخدام استمارة الاستبيان ووزع

The educational function of television is one of the basic functions in light of the technical development that included the specialized satellite channels in all its fields, including the educational field, as its role became parallel to the role of educational institutions. These studies are among the descriptive studies in terms of the type of study methodology that describes the phenomenon, interprets its and extract the results and relationships between the variables. The study sample was multistage (random and intentional) included the students of the sixth academic and literary preparatory stage in the city of Baghdad.
The study problem was summarized by the following main question:
( What are the motives for the exposure of

Under major developments in the field of business environment, the use of traditional budgets do not fit into these developments and adversely affect the future performance of the enterprises, which requires the transition to modern systems in the preparation of the budgets of activity based budgeting ABB because they provide a more accurate and objective estimates based on scientific foundations and practical avoided arising from the use of traditional budgeting problems, Where ABB is working better allocation of resources based on the activities of an enterprise and this positively affects the performance of the administration for the purpose of evaluating their performance according to responsibility centers and decision-making govern

The subject of population support is one of the most important topics in the geography of the population as it shows the amount of burden on the workforce in society and reflects the balance or

This paper proposed a new  method to study functional non-parametric regression data analysis with conditional expectation in the case that the covariates  are functional and the Principal Component Analysis was utilized to de-correlate the multivariate response variables. It  utilized the formula of the Nadaraya Watson estimator (K-Nearest Neighbour (KNN)) for prediction with different types of the semi-metrics, (which are based on Second Derivative and Functional Principal Component Analysis (FPCA))  for measureing the closeness between curves.  Root Mean Square Errors is used for the  implementation of this model which is then compared to the independent response method. R program is used for analysing data. Then, when  the cov

نُفذت تجربة حقلية في أحد الحقول التي تقع على خط عرض 1333 59.93 شمالاً، وخط طول 37.913744" شرقاً، وعلى ارتفاع 31 م فوق مستوى سطح البحر خلال الموسم الخريفي لسنة 2018م لمعرفة تأثير نظم الحراثة المختلفة في إنتاجية الماء ونمو وحاصل الحنطة تحت التسوية الليزرية للارض ، استعملت في التجربة ثلاث معاملات المعاملة الأولى: الآت الحراثة وبمستويين هما المحراث المطرحي (T)، والمحراث الحفار (T2). إمَّا المعاملة الثانية نسبة انحدار تسوية سطح

Some of the main challenges in developing an effective network-based intrusion detection system (IDS) include analyzing large network traffic volumes and realizing the decision boundaries between normal and abnormal behaviors. Deploying feature selection together with efficient classifiers in the detection system can overcome these problems.  Feature selection finds the most relevant features, thus reduces the dimensionality and complexity to analyze the network traffic.  Moreover, using the most relevant features to build the predictive model, reduces the complexity of the developed model, thus reducing the building classifier model time and consequently improves the detection performance.  In this study, two different sets of select