The industrial development and raise the level of income that has emerged clearly in the middle of the last century in many rich and medium rich countries has great influence on the risen of the health care level. Which led to a significant increase in the reconstruction of people over 65 years and this in turn has produced markets for products and services through modifications to the existing products to meet their physical needs. The importance of research also has the universal design of a comprehensive actually so that it covers as much as possible from human physical & cultural activities. The importance of research locally is to concentrate on this subject who has not been taken into consideration so far to accommodate the eld

The nature of this research is that it is a descriptive study that deals with the issue of abrogation in the Noble Qur’an by research and study, as it is one of the issues that have been and are still the subject of

 Represent choices Behaviorism available to the Managerial leaders one of the prerequisites to run any beginnings of a psychological or dilemmas Managerial barriers to working in the field of work has been varied these options until it had taken several kinds of which contributed to the left different impacts on the alleviation of these problems, which prompted the researcher to raising the problem of study within the framework of questionable content how to contribute to that shown by Choices Behaviorism accredited to the Managerial leaders in the management of frustration

This paper study two stratified quantile regression models of the marginal and the conditional varieties. We estimate the quantile functions of these models by using two nonparametric methods of smoothing spline (B-spline) and kernel regression (Nadaraya-Watson). The estimates can be obtained by solve nonparametric quantile regression problem which means minimizing the quantile regression objective functions and using the approach of varying coefficient models. The main goal is discussing the comparison between the estimators of the two nonparametric methods and adopting the best one between them

مثل الوعي الطبقي اعلى مراحله لدى الفكر الماركسي الحديث عند كل من ماركس وانجلز ولينين ليس مجرد انعكاس للواقع وانما يكون بصورة جدلية من خلال انعكاس الوعي على الواقع واعادة انتاجه فبعد ان كان الوعي هو نتاج تطور الواقع اصبح اداة في تطوير الواقع، أي تأثير البنى الفوقية على البنى التحتية( المادية التاريخية) بعكس ما دعى اليه ماركس، اذ أعطى لينين للوعي دوراً كبيرا في التطور التاريخي، وعد الوعي الطبقي هو الاداة التي

مثل الوعي الطبقي اعلى مراحله لدى الفكر الماركسي المعاصر عند كل من روزا لوكسمبورغ وانطونيو غرامشي، ليس مجرد انعكاس للواقع وانما يكون بصورة جدلية من طريق انعكاس الوعي على الواقع وإعادة انتاجه فبعد ان كان الوعي هو نتاج تطور الواقع اصبح أداة في تطوير الواقع، أي تأثير البنى الفوقية في البنى التحتية (المادية التاريخية) وعدت ان الوعي الطبقي الثوري يتحقق بشكل عفوي، وبذور انطلاقة هي الاضرابات الجماهيرية، وأنكرت دور

This work aims to analyze a three-dimensional discrete-time biological system, a prey-predator model with a constant harvesting amount. The stage structure lies in the predator species. This analysis is done by finding all possible equilibria and investigating their stability. In order to get an optimal harvesting strategy, we suppose that harvesting is to be a non-constant rate. Finally, numerical simulations are given to confirm the outcome of mathematical analysis.

<span>Dust is a common cause of health risks and also a cause of climate change, one of the most threatening problems to humans. In the recent decade, climate change in Iraq, typified by increased droughts and deserts, has generated numerous environmental issues. This study forecasts dust in five central Iraqi districts using machine learning and five regression algorithm supervised learning system framework. It was assessed using an Iraqi meteorological organization and seismology (IMOS) dataset. Simulation results show that the gradient boosting regressor (GBR) has a mean square error of 8.345 and a total accuracy ratio of 91.65%. Moreover, the results show that the decision tree (DT), where the mean square error is 8.965, c