تعد دراسة الفكر السياسي للسيد محمد بحر العلوم، تناولاً لشخصية إسلامية علمية واجتماعية وسياسية معتدلة، ينتمي إلى أسرة علوية حسنية لها من التراث الديني والعلمي والفكري والاجتماعي ما يشهد له التأريخ، فضلاً عن الإسهامات الوطنية والسياسية في تاريخ العراق المعاصر، وبسبب السياسات الخاطئة لتلك الأنظمة الدكتاتورية، وموقف تلك العائلة المناهض لها فقد كانت النتيجة أن قدمت كوكبة من خيرة علمائها وشبابها.

This study is a complementary one to an extended series of research work that aims to produce a thermodynamiclly stable asphalt –sulfur blend. Asphalt was physically modified wiht different percentages of asphaltenes , oxidized asphaltenes and then mixed with sulfur as an attempt to obtaine a stable compatible asphalt-sulfur blend. The homogeneneity of asphalt-asphaltenes[oxidized asphaltenes]-sulfur blends were studied microscopically and the results are prsented as photomicrographs. Generally more stable and compatible asphalt-sulfur blends were obtained by this treatment.

In this research , we tried to identify the meaning empowerment in the development literatures , and inquire the most enabling prominent actions to promote women , as we considered the most important international conferences that take up the subject of women's empowerment .
In the context of research on the subject of empowering women to occupy leadership positions , we tried to diagnose the target of the empowerment , and we clarify the correlation between human development and empowerment of women , also the research touched on the decision (1325) issued by the United Nations , which includes provisions regarding the importance of women participation at all levels in the process of decision-making .
We realized that there are so

This paper presents a new algorithm in an important research field which is the semantic word similarity estimation. A new feature-based algorithm is proposed for measuring the word semantic similarity for the Arabic language. It is a highly systematic language where its words exhibit elegant and rigorous logic. The score of sematic similarity between two Arabic words is calculated as a function of their common and total taxonomical features. An Arabic knowledge source is employed for extracting the taxonomical features as a set of all concepts that subsumed the concepts containing the compared words. The previously developed Arabic word benchmark datasets are used for optimizing and evaluating the proposed algorithm. In this paper,