God Almighty has prepared for this nation men who made its glory, built its glories, and elevated it to the sublime of its glory, until it was the best nation brought out to people.

Among these notables are those who served the Noble Qur’an, and sacrificed the most precious to reveal its secrets, and to defend the Noble Qur’an against atheists and skeptics, namely Imam (Zain El-Din Muhammad Ibn Abi Bakr Ibn Abd al-Qadir al-Razi, 666 AH), that venerable scholar, and the great sea, who He was known to be: an interpreter, linguistic, jurisprudent, jurisprudence on the Hanafi school of thought. Among his most prominent books are: (Mukhtar Al-Sahah) on language, (Explanation of the Haririya Maqamat) and (Hadiqat al-Ha

The two-dimensional transient heat conduction through a thermal insulation of temperature dependent thermal properties is investigated numerically using the FVM. It is assumed that this insulating material is initially at a uniform temperature. Then, it is suddenly subjected at its inner surface with a step change in temperature and subjected at its outer surface with a natural convection boundary condition associated with a periodic change in ambient temperature and heat flux of solar radiation. Two thermal insulation materials were selected. The fully implicit time scheme is selected to represent the time discretization. The arithmetic mean thermal conductivity is chosen to be the value of the approximated thermal conductivity at the i

This paper  deals  to how to estimate points non measured spatial data when the number of its terms (sample spatial) a few, that are not preferred for the estimation process, because we also know that whenever if the data is large, the estimation results of the points non measured to be better and thus the variance estimate less, so the idea of this paper is how to take advantage of the data other secondary (auxiliary), which have a strong correlation with the primary data (basic) to be estimated single points of non-measured, as well as measuring the variance estimate, has been the use of technique Co-kriging in this field to build predictions spatial estimation process, and then we applied this idea to real data in th

     الحمد لله رب العالمين، والصلاة والسلام على سيد المرسلين، محمد وعلى آله وصحبه أجمعين وبعد:

فإن الله تعالى خلقنا أزواجا، وجعل منا الذكر والأنثى يميل بعضهم إلى بعض بالفطرة والطبع ليكونا بمشيئة الله أسرة، ويرزقان بنين وحفدة، وهذه سنة الله تعالى في الخلق لا يزيغ عنها إلا هالك.

ومن نعم الله تعالى على بني البشر أن جعل النكاح المشروع لا السفاح الممنوع أساس العلاقة بين ال

  The role of the public sector- Investment customizations-  economic embargo -  The role of the private sector - Coexistence between the public and private sectors -   Ratio of growth

Abstract: Persian literature, after the spread of Islam in Pars, received a lot of influence from the subtle and rhetorical details of the Holy Quran. This effect is more in poetry than in prose because the weights of Persian poetry are closer to the melody of the Qur'an and its weights.The effectiveness of most of the prose works is only in the Quranic themes and words. Persian poetry that has benefited from various sciences of rhetoric, including semantics, eloquence and rhetoric. The degree and manner of influence of each of the didactic, lyrical, epic and travelogue literary types is different from the rhetorical points of the Quran. The instructions under educational literature have benefited the least from Quranic rhetoric. The max

The deep learning algorithm has recently achieved a lot of success, especially in the field of computer vision. This research aims to describe the classification method applied to the dataset of multiple types of images (Synthetic Aperture Radar (SAR) images and non-SAR images). In such a classification, transfer learning was used followed by fine-tuning methods. Besides, pre-trained architectures were used on the known image database ImageNet. The model VGG16 was indeed used as a feature extractor and a new classifier was trained based on extracted features.The input data mainly focused on the dataset consist of five classes including the SAR images class (houses) and the non-SAR images classes (Cats, Dogs, Horses, and Humans). The Conv

This paper deals with a new Henstock-Kurzweil integral in Banach Space with Bilinear triple n-tuple and integrator function Ψ which depends on multiple points in partition. Finally, exhibit standard results of Generalized Henstock - Kurzweil integral in the theory of integration.

This research deals with a shrinking method concerned with the principal components similar to that one which used in the multiple regression “Least Absolute Shrinkage and Selection: LASS”. The goal here is to make an uncorrelated linear combinations from only a subset of explanatory variables that may have a multicollinearity problem instead taking the whole number say, (K) of them. This shrinkage will force some coefficients to equal zero, after making some restriction on them by some "tuning parameter" say, (t) which balances the bias and variance amount from side, and doesn't exceed the acceptable percent explained variance of these components. This had been shown by MSE criterion in the regression case and the percent explained

يتناول البحث فكرة الفسخ المبتسر للعقد من حيث امكانية او عدم امكانية الحكم بهما مجتمعين ومدى تلازمهما