In this research, main types of optical coatings are presented which are used as covers for solar cells, these coatings are reflect the infrared (heat) from the solar cell to increase the efficiency of the cell (because the cell’s efficiency is inversely proportional to the heat), then the theoretical and mathematical description of these optical coatings are presented, and an optical design is designed to meet this objective, its optical transmittance was calculated using (MATLAB R2008a) and (Open Filters 1.0.2) programs

Abstract

      health organizations are trying to  introduce  services of high quality and efficiency which requires  applying some standards of nursing career to improve nursing service quality in the hospital, which provides an essential data base key to diagnosis the negative and positive part in nursing services to guarantee the quality of services presented .  The aim of this study is to evaluated the quality of  nursing service through stating the indicators of nursing career standards by comparing the reality of the a hospital with what should standards . In addition , adapting nursing career standards with what is suitable for hos

The study aims to explore the effect of cognitive behavioral therapy on internet addiction among university students. The experimental method was used. The study population consisted of (100) university students (50 males, 50 females). The Research sample included (13) University students at Baghdad University addicted to the Internet (9 males, 4 females), divided into two groups:  a control group consisting of (6) individuals (4 males, 2 females) and an experimental sample consisting of (6) individuals (4 males, 2 females). The Scale of Internet Addiction by Young (1996), which was translated and modified into the Arabic language by (Moegel and Prism, 2016), was administered to the study sample. The sample was subjected to two sess

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Microservice architecture offers many advantages, especially for business applications, due to its flexibility, expandability, and loosely coupled structure for ease of maintenance. However, there are several disadvantages that stem from the features of microservices, such as the fact that microservices are independent in nature can hinder meaningful communication and make data synchronization more challenging. This paper addresses the issues by proposing a containerized microservices in an asynchronous event-driven architecture. This architecture encloses microservices in containers and implements an event manager to keep track of all the events in an event log to reduce errors in the application. Experiment results show a decline in re

تعد الحروب و الصراعات واحدة من اقدم الظواىر التي عرفتها المجتمعات البشرية وان ىذه الظاىرة تجسدت في البداية على مستوى الصراعات الفردية عندما كانت ترتقي الى مستوى الاشتباك وكانت بدائية في وسائلها وادواتها ،وكما ان ظاىرة الحرب بدأت من الاسرة ومن ثم القبيلة والعشيرة وانتهت بالدولة ،اذ ان ظاىرة الحروب بشكلها التقليدي تأخذ شكلا تدميريا بعد ان تتطور ابعادىا القصوى وان حدوثها ىو تضارب مصالح واىداف الاطراف وانها ال

The study search for the history and the beginning of Faluja city in addition to its growing and developing stages , as well as its planning nature through ottoman era depending on aerial map of Falluja in 1919 as it is the oldest map from Baghdad Real Estate Department, this mentioned map is characterized by the accuracy of the information,

Recommendation systems are now being used to address the problem of excess information in several sectors such as entertainment, social networking, and e-commerce. Although conventional methods to recommendation systems have achieved significant success in providing item suggestions, they still face many challenges, including the cold start problem and data sparsity. Numerous recommendation models have been created in order to address these difficulties. Nevertheless, including user or item-specific information has the potential to enhance the performance of recommendations. The ConvFM model is a novel convolutional neural network architecture that combines the capabilities of deep learning for feature extraction with the effectiveness o