اتجهت المحكمة الاتحادية العليا في العراق الى عدم امتداد رقابتها على بواعث التشريع وحصرت ولايتها على ظاهر النص حين قضت:" .. كما لمست هذه المحكمة من الأقضية الدستورية المقارنة أن ولاية المحاكم الدستورية تنبسط على ظاهر النص ولا تمتد إلى بواعث التشريع وأسبابه البعيدة لأن ذلك يعد من صميم اختصاص السلطة التشريعية ..." (1)    وإذ كانت المحكمة قد دأبت ،بحق، على تمسكها بمبدأ الفصل بين السلطات ، فضلاً عن كونها عدت

تعد مشكلة الضبابية في انجاز المشاريع وبخاصة مشاريع االبنية من المشاكل المهمة التي ينبغي وضع حلول مناسبة لها بغية الحصول على مشروع متكامل وناجح وضمن المواصفات القياسية المطلوبة من خالل االلتزام بوقت االنجاز واستثمار الموارد المتاحة للجهة المنفذة للمشروع افضل استثمار ، ان هذه المشكلة ناتجة عن معلومات او بيانات غير واضحة تعاني من الغموض او بسبب وجود نقص فيها سواء كانت متعلقة بوقت او بتكلفة انجاز المشاريع له

Mixed-effects conditional logistic regression is evidently more effective in the study of qualitative differences in longitudinal pollution data as well as their implications on heterogeneous subgroups. This study seeks that conditional logistic regression is a robust evaluation method for environmental studies, thru the analysis of environment pollution as a function of oil production and environmental factors. Consequently, it has been established theoretically that the primary objective of model selection in this research is to identify the candidate model that is optimal for the conditional design. The candidate model should achieve generalizability, goodness-of-fit, parsimony and establish equilibrium between bias and variab

دور المواد النانوية في إعادة تصنيف تكاليف المنتج الصناعي الحديث

The current study aims to compare between the assessments of the Rush model’s parameters to the missing and completed data in various ways of processing the missing data. To achieve the aim of the present study, the researcher followed the following steps: preparing Philip Carter test for the spatial capacity which consists of (20) items on a group of (250) sixth scientific stage students in the directorates of Baghdad Education at Al–Rusafa (1^st, 2^nd and 3^rd) for the academic year (2018-2019). Then, the researcher relied on a single-parameter model to analyze the data. The researcher used Bilog-mg3 model to check the hypotheses, data and match them with the model. In addition

This research aims to know the role of strategic flexibility in achieving organizational effectiveness by studying the dimensions of strategic flexibility (capacity flexibility, resource flexibility, information flexibility, and coordination flexibility) on the dimensions of organization effectiveness (environmental adaptation, productivity and achieving goals) through an analytical study conducted in six directorates in the office of the Iraqi Ministry of Education.

The research problem was represented in the form of questions, the most prominent of which was "What is the role of strategic flexibility in achieving organization effectiveness?" The descriptive analytical approach was relied on in applying

Energy savings are very common in IoT sensor networks because IoT sensor nodes operate with their own limited battery. The data transmission in the IoT sensor nodes is very costly and consume much of the energy while the energy usage for data processing is considerably lower. There are several energy-saving strategies and principles, mainly dedicated to reducing the transmission of data. Therefore, with minimizing data transfers in IoT sensor networks, can conserve a considerable amount of energy. In this research, a Compression-Based Data Reduction (CBDR) technique was suggested which works in the level of IoT sensor nodes. The CBDR includes two stages of compression, a lossy SAX Quantization stage which reduces the dynamic range of the

في تعزيز بيئة الانتاج الرشيق استخدام اسلوب S -5

The development in manufacturing computers from both (Hardware and Software) sides, make complicated robust estimators became computable and gave us new way of dealing with the data, when classical discriminant methods failed in achieving its optimal properties especially when data contains a percentage of outliers. Thus, the inability to have the minimum probability of misclassification. The research aim to compare robust estimators which are resistant to outlier influence like robust H estimator, robust S estimator and robust MCD estimator, also robustify misclassification probability with showing outlier influence on the percentage of misclassification when using classical methods. ,the other