Abstract:

      In this research we discussed the parameter estimation and variable selection in Tobit quantile regression model in present of multicollinearity problem. We used elastic net technique as an important technique for dealing with both multicollinearity and variable selection. Depending on the data we proposed Bayesian Tobit hierarchical model with four level prior distributions . We assumed both tuning parameter are random variable and estimated them with the other unknown parameter in the model .Simulation study was used for explain the efficiency of the proposed method and then we compared our approach with (Alhamzwi 2014 & standard QR) .The result illustrated that our approach

This paper sheds light on aspects of environmental and climatic treatments in the groves mud existing in some Libyan oases. It reveals the architecture efforts and contributions to the adaptation of the construction and materials in order to organize the weather inside the building blocks to suit the nature of the human and his living in all seasons

A fuzzy logic approach (FLA) application in the process of stud arc welding environment was implemented under the condition of fuzziness input data. This paper is composed of the background of FLA, related research work review and points for developing in stud welding manufacturing. Then, it investigates thecase of developingstud arc welding process on the controversial certaintyof available equipment and human skills.Five parameters (welding time, sheet thickness, type of coating, welding current and stud shape) were studied.A pair of parameter was selected asiteration whichis welding current and welding time and used fo

      تطور اهتمام علم النفس في السنوات الأخيرة في الموضوعات التي تؤكد على ايجابية الشخصية الانسانية مثل مركز الضبط والتفاؤل والذكاء الانفعالي ومعنى الحياة Meaning of life  ، وتمثل مثل هذه الموضوعات نواة تيار او فرع في علم النفس يدعى بعلم النفس الايجابي او (البنَاء ) Positive Psychology  ، ويؤكد علم النفس الايجابي على ان تكون الحياة الداخلية للانسان اكثر عمقاً وثراءا

هدفت الدراسة إلى الكشف عن العالقة بين الخبرات الصادمة والسلوك الفوضوي لدى طلبة المرحلة المتوسطة فضال عن التعرف على الفروق بين الطلبة في الخبرات الصادمة والسلوك الفوضوي على وفق متغير النوع )الذكور- اإلناث(، تألفت عينة الدراسة من )185( طالباً وطالبة، وتم تطبيق مقياسا الدراسة على العينة- مقياس الخبرة الصادمة ومقياس السلوك الفوضوي وهما )من إعداد الباحثان(، وقد أسفرت نتائج الدراسة عن: - إن طلبة المرحلة المتوسطة أظهر

المرأة نصف المجتمع , وهي التي تلد النصف الاخر وتربيههكذا وصفها الحكماء ولا مسار لارتقاء أي بلد وتقدم أي شعب بدون الارتقاء بالمرأة, وبدون مشاركتها في مسارات التحول والتغيير, لكن المرأة مازالت تعاني من التمييز على أساس النوع , وتتعرض للعنف الجندري مما يشكل عائقا كبيرا امام مشاركتها الحقيقية والفعالة في قيادة دفة الحياة , والأخذ بها نحو عيش حياة طييبة كريمة. تؤكد الوثائق أن العنف القائم على النوع الاجتماعي من الم

       In the present paper, by making use of the new generalized operator, some results of third order differential subordination and differential superordination consequence for analytic functions are obtained. Also, some sandwich-type theorems are presented.

The aim of the research is to find out the methods of employing the : Infographics in the news sites due to the different communicative roles of the : Infographics . To achieve the research objective, the researcher used the survey method: the method of analyzing the content to analyze the : Infographics material from the selected sample of the news sites. What was said ? And how was it said? Through the design of a content analysis form that includes a number of studied analysis Infographics of the study.

Self-driving automobiles are prominent in science and technology, which affect social and economic development. Deep learning (DL) is the most common area of study in artificial intelligence (AI). In recent years, deep learning-based solutions have been presented in the field of self-driving cars and have achieved outstanding results. Different studies investigated a variety of significant technologies for autonomous vehicles, including car navigation systems, path planning, environmental perception, as well as car control. End-to-end learning control directly converts sensory data into control commands in autonomous driving. This research aims to identify the most accurate pre-trained Deep Neural Network (DNN) for predicting the steerin

The aim of this paper is to present a weak form of -light functions by using -open set which is -light function, and to offer new concepts of disconnected spaces and totally disconnected spaces. The relation between them have been studied. Also, a new form of -totally disconnected and inversely -totally disconnected function have been defined, some examples and facts was submitted.