This paper aims to study Antonia's character and  her mannish behavioral  transition  throughout the novel entitled My Antonia. Willa presents Antonia who shows her resolution and courage in facing and dealing with personal dilemmas and social circumstances. Willa portrays Antonia, who struggles in the new society and culture by working hard in changing the salty land of Nebreska and her destiny . Working in salty land day and night forces Antonia to lose her tender behavior and her  beauty as a woman is changed too. She achieves her goals to live with her family in a new place with a dignity and respect though she looks like a man in her strength and body built . Willa Cather tries to explain that the major&

At the time when many important political events and evolutions took place, the cinema has been pretty active, and witnessed the historical events before and after the two world wars and the cold war. During the first half of the 20th century, the cinema had great interest from the major countries and their politicians, as well as the commercial turnout of large companies to invest in that field for the profits.  In the beginning of the 20th century, the major powers like the Soviet Union, the United States, Germany, Italy, England, and France started to compete in the development of their film industry and the investment of the new medium and the transformation of some famous works of fiction into films that perpetuate their cultur

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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اثر انعدام الاهلية على الشركة التضامنية

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

تأثير تكوين الشخصية على السلوك السياسي

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