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Test Wisdom of Postgraduates at the University of Samarra and Its Relationship to Learning and Psychological Tension: Test Wisdom of Postgraduates at the University of Samarra and Its Relationship to Learning and Psychological Tension
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Abstract

The aim of the present research is to identify the test wisdom and the preoccupation with learning and psychological tension among postgraduate students at the University of Samarra according to the variables of the department,  gender,  age,  and employee or non-employee, and revealing the relationship between the test wisdom and the preoccupation with learning and psychological tension. The research sample consisted of (75) students randomly selected from postgraduate students at the college of Education. The researcher applies test –wisdom of (Mellman & Ebel) and measurement of preoccupation with learning prepared by (Al-zaabi 2013) also, the researcher used the scale of the psychological stress by (Abu Assaad 2011). To process the collected data, the researcher used frequencies, averages, standard deviations, T-test, Persson correlation coefficient, analysis of the mono-variance, the coefficient of Schiffe and correlation coefficient (Kendalls tau_b). The results reached that the study sample has a good level of probationary wisdom with differences of statistical significance according to the variable of the department in favor of the students of the department of Arabic language. In addition, there were no statistically significant differences among the variable of sex, age and employee or non-employee variable in regard of test wisdom. The finding found that the study sample was characterized by an average level of preoccupation with learning, with no significant statistical differences according to the department, gender, age, and employee or non-employee variable in term of preoccupation with learning. The research sample revels a low level of psychological tension with no statistically significant differences according to the department variable, gender, age, and employee or non-employee in regard of psychological tension. There is no significant correlation between the test wisdom of all its strategies and each of the preoccupation with learning and psychological tension.

Key words: eligibility test, test-wisdom, engagement, psychological tension

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Publication Date
Sat Dec 31 2016
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Experimental Work to Study the Behavior of Proppant Inside the Hydraulic Fractures and the Plugging Time
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Experiments were conducted to study the behavior of the solid particles (proppant) inside the hydraulic fracture during the formation stimulation, and study the effect of the proppant concentration on the hydraulic fracturing process, which lead to bridge and screen-out conditions inside the fractures across the fracture width that restricts fracturing fluid to flow into the hydraulic fracture. The research also studies the effect of the ratio between the fracture size and the average particles diameter “proppant", on fracture bridging. In this study two ratios were considered β= 2 and 3 ,where β=Dt / Dp where: Dt= hydraulic fracture size (width) and Dp=Average particles diameter.

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Publication Date
Tue Aug 01 2017
Journal Name
Journal Of Economics And Administrative Sciences
Relationship of the key elements of Knowledge management with strategic performance / filed research sample of private banks in Baghdad
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Fri Jun 01 2012
Journal Name
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Dumping and Its Challenges in Extent of World Trade Organization "Models for selected Agricultural Goods"
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Publication Date
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Journal Name
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Optical burst switching (OBS) network is a new generation optical communication technology. In an OBS network, an edge node first sends a control packet, called burst header packet (BHP) which reserves the necessary resources for the upcoming data burst (DB). Once the reservation is complete, the DB starts travelling to its destination through the reserved path. A notable attack on OBS network is BHP flooding attack where an edge node sends BHPs to reserve resources, but never actually sends the associated DB. As a result the reserved resources are wasted and when this happen in sufficiently large scale, a denial of service (DoS) may take place. In this study, we propose a semi-supervised machine learning approach using k-means algorithm

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