This research is an attempt to prove the scientific tendency in the Islamic philosophical heritage through a review of the most important ideas of intellectual and philosophical theories brought by the philosophers of this

Research summary

Today, the Islamic nation is going through a phase that is one of the most dangerous that it has never experienced before. This phase was characterized by the following:

The nation is divided into states and its weakness in most of its doctrinal, political, social, economic and moral aspects.
Enemies targeting the nation's faith and capabilities, and the emergence of loyalty to the enemies of the nation from some groups of society, spreading misconceptions in the Muslim community.
Spreading the spirit of rebellion in all segments of society and striving to stir up the people against the rulers and put pressure on the rulers.

All these manifestations and others require the nation's wise men

Are the actions and rulings of God Almighty justified by intentions and purposes or not? This is a matter of the minutes of the science of theology in which there was a wide difference between the Islamic groups, especially the verbal ones.

This study is an attempt to reach the correct opinion or to avoid it, and to clarify the disagreement that took place in this issue, especially in the Ash'ari school of thought, and it is also an attempt to reconcile opinions as much as possible, and to explain what may appear to be disagreements among some.

Therefore, I divided this research into two topics, and issued it with an introduction in which I defined the terms that are related to the explanation.

أيديولوجيا العنف في الفكر الاسلامي : داعش أنموذجاً

Transforming the common normal distribution through the generated Kummer Beta model to the Kummer Beta Generalized Normal Distribution (KBGND) had been achieved. Then, estimating the distribution parameters and hazard function using the MLE method, and improving these estimations by employing the genetic algorithm. Simulation is used by assuming a number of models and different sample sizes. The main finding was that the common maximum likelihood (MLE) method is the best in estimating the parameters of the Kummer Beta Generalized Normal Distribution (KBGND) compared to the common maximum likelihood according to Mean Squares Error (MSE) and Mean squares Error Integral (IMSE) criteria in estimating the hazard function. While the pr

       In this work, an experimental analysis is made to predict the thermal performance of the natural-convection phenomenon from a heated vertical externally finned-tube to surrounding air through an open-ended enclosure. Two different configurations of longitudinal rectangular fin namely, continuous and interrupted are utilized with constant thickness, different numbers, and different heights are extended radially on the outer surface of a heated tube. The tube is heated electrically from inner surface with five varied power input magnitudes. The effect of fins configuration, fins number, fins height, and heat flux of the inner tube surface on the thermal performance of natural c

In this study, we used Bayesian method to estimate scale parameter for the normal distribution. By considering three different prior distributions such as the square root inverted gamma (SRIG) distribution and the non-informative prior distribution and the natural conjugate family of priors. The Bayesian estimation based on squared error loss function, and compared it with the classical estimation methods to estimate the scale parameter for the normal distribution, such as the maximum likelihood estimation and th

تتسارع التحولات السياسية في العصر الحديث، وتتزايد التحديات التي تواجه المجتمعات، حيث يظهر التطرف كظاهرة تهدد أمن الدول واستقرارها، وتعد الإصلاحات السياسية خطوة حيوية نحو تحقيق تنمية مستدامة وتحقيق التوازن في المجتمعات. أذ يهدف هذا البحث إلى استكشاف وتحليل دور الأصلاح السياسي كآلية فعالة في مكافحة ظاهرة التطرف. وطالما أن الدول في المنطقة العربية تعاني من التسلط والأستبداد وغياب دور المؤسسات السياسية الفعل

The Educational Ideology of John Dewey