The present research aims to know :

 The level of Cognitive failures, information processing styles, and the problem-solving among the university students ,so it is aims to know the contribution of cognitive failures on the information processing styles and problem-solving, the research sample was (400) males and females student  from the University of Wasit chosen randomly from both gender and for the study of the morning and evening .So  these scales had been used as a research tool (failures cognitive scale ,the scale of information processing styles , and the scale of problem solving) , and by using the statistical m

Aim of the current research is to know: -
1 - mental loneliness among university students.
2 - personal attributes according to the model of the list of top five factors of personality among the students of the university.
3 - differences in mental loneliness by variable sex (male - female)
4 - Differences in the top five factors of personality variable by sex (male - female).
5 - The relationship between loneliness psychological and personality traits according to the model of the list of top five factors of personality among the students of the university.

      To achieve this used researcher scale Badri (2010) to fe

أهمية البحث والحاجة إليه :

      يعد نسيان المثيرات المعلوماتية التي يتعلمها أو يطلع عليها الفرد في حياته من المشكلات التي يعاني منها الأفراد في جميع مناحي الحياة وليس في مجال الدراسة الأكاديمية فحسب. وبالتالي فان هناك حاجة ملحة ومهمة لابتداع طرائق ووسائل وإمكانيات يمكن عن طريقها التقليل من نسيان المثيرات المعلوماتية المختلفة التي يتعلمها الفرد في حياته اليومية.

One of the unique properties of laser heating applications is its powerful ability for precise pouring of energy on the needed regions in heat treatment applications. The rapid rise in temperature at the irradiated region produces a high temperature gradient, which contributes in phase metallurgical changes, inside the volume of the irradiated material. This article presents a comprehensive numerical work for a model based on experimentally laser heated AISI 1110 steel samples. The numerical investigation is based on the finite element method (FEM) taking in consideration the temperature dependent material properties to predict the temperature distribution within the irradiated material volume. The finite element analysis (FEA) was carried

MM ABDUL-WAHHAB, SA AHMED, International Journal of Pharmaceutical Research, 2020 - Cited by 2

يهدف البحث إلى استقصاء أثر دراسة طالبات كلية العلوم للبنات في جامعة بغداد لمقرر التلوث البيئي في تنمية اتجاهاتهن البيئية، وذلك من خلال التعرّف على النمو في المستوى العام لاتجاهات الطالبات البيئية والكشف عن الفروق الإحصائية في اتجاهاتهن قبل وبعد دراسة المقرر.

وقد تألفت عينة البحث من(50) طالبة من طالبات قسم الفيزياء / الفيزياء الطبية المرحلة الأولى في كلية العلوم للبنات- جامعة بغداد. اعتمدت ا

Air pollution is considered one of the major environmental problems that contain many challenges and difficulties facing most countries of the world, including Iraq. The problem has emerged widely with the emergence of the industrial revolution in the world and the tremendous increase in the population and the increase in the number of transportation and its development in addition to excavation, maintenance and work Construction and weather fluctuations, such as dust and sandstorms, pollution resulting from oil refining, extraction, diversion and other processes that cause pollution, and the start of the world using methods that limit the volume of environmental pollution. The most prominent of these methods is the imposition of

Database is characterized as an arrangement of data that is sorted out and disseminated in a way that allows the client to get to the data being put away in a simple and more helpful way. However, in the era of big-data the traditional methods of data analytics may not be able to manage and process the large amount of data. In order to develop an efficient way of handling big-data, this work studies the use of Map-Reduce technique to handle big-data distributed on the cloud. This approach was evaluated using Hadoop server and applied on EEG Big-data as a case study. The proposed approach showed clear enhancement for managing and processing the EEG Big-data with average of 50% reduction on response time. The obtained results provide EEG r