تظهر اهمية مفهوم ألذات من حيث انه احد دوافع الفرد الداخلية التي لها تأثير معين على التحصيل الدراسي لدى التلاميذ وعلى تكيفهم مع بيئتهم التربوية أثناء الدراسة، لذلك فان معرفة كيفية قياس مفهوم ألذات وأدراك الفرد لذاته تساعد في عملية تقويم الفرد من حيث قدرته على التكييف وثقته بنفسه كما تفيد في التخطيط عن طريق وضع برامج تساعده في زيادة مفهوم ذاته عن نفسه.

ومما لاشك فيه ان مرحلة الطفولة لها اهمية

بعد الاحتجاجات التي اندلعت في ليبيا في فبراير 3122 ،استند مجلس الأمن وهيئات الأمم المتحدة الأخرى على مفهوم المسئولية عن الحماية (R2P )(لمعالجة الأوضاع الإنسانية الناجمة عن تلك الاحتجاجات. وأصدر المجلس القرار 1970والذي فرض بموجبه حزمة من العقوبات على ليبيا، ثم أصدر القرار 1973 الذي سمح بالتدخل العسكري هناك. وبعد البدء بتنفيذ الحملة العسكرية تبين أن الناتو استغل هذه القرارات لتنفيذ أجندته الخاصة وعمل على الإطاحة بالن

جديرة تلك المجلة العريقة (Journal of management history) لما تقوم به من دور متميز في تأصيل الفكر الاداري وتنسيب الموضوعات لأصحابها الحقيقيين. فالمجلد (12)، العدد (3) لعام (2006) من هذه المجلة حمل مراجعة تاريخية كبيرة لعنوان عميق هو
(The emergence of job satisfaction in organization behavior A historical overview of the dawn of jop attitudes research)، للباحث (Thomas A. Wright) الاستاذ في قسم العلوم الادارية بجامعة نيف

مفهوم البعد الواحد في الرسم العراقي المعاصر

Most of the big companies and especially the intillictual ones become a ware of an important fact, and That is, The intillictual capital in new global economy, is a new source for Them & This Valuable source exceed in importance. The other company's sources.

The Traditional disclouser systemes are unable to supply the decisions makers with the Fundimental information require to handel the on going operations which are based on Knowledge and intangible source. But the measuring of this source and the disclose for it in the financial Statements will lead to gain features Statements which will benefit all the parties and lead to make the value of the company great.

And as a resul

In this paper, the maximum likelihood estimates for parameter ( ) of two parameter's Weibull are studied, as well as white estimators and (Bain & Antle) estimators, also Bayes estimator for scale parameter ( ), the simulation procedures are used to find the estimators and comparing between them using MSE. Also the application is done on the data for 20 patients suffering from a headache disease.

This paper investigates the experimental response of composite reinforced concrete with GFRP and steel I-sections under limited cycles of repeated load. The practical work included testing four beams. A reference beam, two composite beams with pultruded GFRP I-sections, and a composite beam with a steel I-beam were subjected to repeated loading. The repeated loading test started by loading gradually up to a maximum of 75% of the ultimate static failure load for five loading and unloading cycles. After that, the specimens were reloaded gradually until failure. All test specimens were tested under a three-point load. Experimental results showed that the ductility index increased for the composite beams relative to the refe

This paper investigates the experimental response of composite reinforced concrete with GFRP and steel I-sections under limited cycles of repeated load. The practical work included testing four beams. A reference beam, two composite beams with pultruded GFRP I-sections, and a composite beam with a steel I-beam were subjected to repeated loading. The repeated loading test started by loading gradually up to a maximum of 75% of the ultimate static failure load for five loading and unloading cycles. After that, the specimens were reloaded gradually until failure. All test specimens were tested under a three-point load. Experimental results showed that the ductility index increased for the composite beams relative to the reference specim

This research aims to provide insight into the Spatial Autoregressive Quantile Regression model (SARQR), which is more general than the Spatial Autoregressive model (SAR) and Quantile Regression model (QR) by integrating aspects of both. Since Bayesian approaches may produce reliable estimates of parameter and overcome the problems that standard estimating techniques, hence, in this model (SARQR), they were used to estimate the parameters. Bayesian inference was carried out using Markov Chain Monte Carlo (MCMC) techniques. Several criteria were used in comparison, such as root mean squared error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination (R^2). The application was devoted on dataset of poverty rates acro