The stress(Y) – strength(X) model reliability Bayesian estimation which defines life of a component with strength X and stress Y (the component fails if and only if at any time the applied stress is greater than its strength) has been studied, then the reliability; R=P(Y<X), can be considered as a measure of the component performance. In this paper, a Bayesian analysis has been considered for R when the two variables X and Y are independent Weibull random variables with common parameter α in order to study the effect of each of the two different scale parameters β and λ; respectively, using three different [weighted, quadratic and entropy] loss functions under two different prior functions [Gamma and extension of Jeffery

تعرضت المواقع الاثریة في الع ا رق الى النبش والتخریب،وقد أدى ذلك الى أستخ ا رج أعداداً كبیرة من النصوص المسماریة وتهریبها الى خارج الع ا رق. ومن ضمنها نصوص مدینة أ ري- ساكرك، فقد درست مجموعة من هذه النصوص والبالغ عددها ( ١١٥٩ ) نصاً التي نش رت في في هذا البحث قمنا بد ا رسة ( ٤) نصوص مصادرة لصالح المتحف .(Nisaba مجلد ( 15 الع ا رقي ذات مضامین أقتصادیة تتعلق بالحیوانات،ارخت بین السنة الثانیة والاربعین من حكم الملك شولكي وحت

اعتمدت الدراسة على (65) نصاً ذات مضامين اقتصادية، تم اختيارها من المتحف العراقي من المجموعة ماتعرف بالمصادرة، ومن خلال دراسة النصوص ومقارنتها مع نصوص منشورة من سلالة أور الثالثة تبين أنها تعود الى العصر نفسه استناداً الى الصيغ التاريخية الواردة فيها، اذ ذكرت سنوات حكم اَخر ثلاثة ملوك هم أمارسين وشوسين وأبي سين، كما أمكن من خلال الدراسة أيضاً وأستناداً الى أسماء الاشهر وأسماء الاشخاص الواردة فيها تحديد عائديت

Alzheimer's disease (AD) increasingly affects the elderly and is a major killer of those 65 and over. Different deep-learning methods are used for automatic diagnosis, yet they have some limitations. Deep Learning is one of the modern methods that were used to detect and classify a medical image because of the ability of deep Learning to extract the features of images automatically. However, there are still limitations to using deep learning to accurately classify medical images because extracting the fine edges of medical images is sometimes considered difficult, and some distortion in the images. Therefore, this research aims to develop A Computer-Aided Brain Diagnosis (CABD) system that can tell if a brain scan exhibits indications of

This paper deals with the F-compact operator defined on probabilistic Hilbert space and gives some of its main properties.

      Faintly continuous (FC) functions, entitled faintly S-continuous and faintly δS-continuous functions have been introduced and investigated via a -open and -open sets. Several characterizations and properties of faintly S-continuous and faintly -Continuous functions were obtained. In addition, relationships between faintly s- Continuous and faintly S-continuous function and other forms of FC function were investigated. Also, it is shown that every faintly  S-continuous is weakly S-continuous. The Convers is shown to be satisfied only if the co-domain of the function is almost regular.

Decision making is vital and important activity in field operations research ,engineering ,administration science and economic science with any industrial or service company or organization because the core of management process as well as improve him performance . The research includes decision making process when the objective function is fraction function and solve models fraction programming by using some fraction programming methods and using goal programming method aid programming ( win QSB )and the results explain the effect use the goal programming method in decision making process when the objective function is
fraction .