يهدف البحث الحالي الر التعرف على اثر استرلتيجية المصفوفة الابتكارية في تحصيل مادة الكيمياء عند طلاب الصف الخامس العلمي ولتحقيق هدف البحث تم تطبيق هذه الاستراتيجية

يصب المدخل المستند إلى الموارد (Resources Based Approach) في دراسة المنظمات المتعلمة (Learning Organizations) اهتمامه أساساً على دراسة القابليات البشرية وكيفية تطويرها، وجعلها قدرات جوهرية تنافسية. فالدراسات الحديثة تنظر إلى استراتيجية إدارة الموارد البشرية (Human Resources Management Strategy) على أنها من المكونات المركزية الاستراتيجية منظمة الأعمال (Business Organization Strategy)<

Financial Institutions are central to all most all Macroeconomic debates. They explain the market for money creation and Exchange the financial assets such as money stock and bonds play a central role in organizing and coordinating our economy. Financial Institutions’ position in economy is urgent position especially in the economic crises, they want to realize their profit target but this target conflicts with the target of monetary policy or fiscal policy or economic policy some time.

         Financial Institution assets affect in technological factors and political factor. Those factors cause increasing or decreasing in wealth of the countries. The old classical crises was form real s

The research aims to provide an integrated knowledge framework for the two basic research topics of (marketing deception, organizational reputation), their main dimensions, and framing the knowledge within them in a serious attempt to provide appropriate answers to the questions of the research problem by diagnosing the nature of the relationship between the components of marketing deception to identify the elements and how to activate it via reputable organizational components. The research was based on the analytical survey method. The research sample targeted (364) pharmacies within the capital Baghdad exclusively, the main tool of the research was the questionnaire, as well as the design of models prepared fo

<span>Dust is a common cause of health risks and also a cause of climate change, one of the most threatening problems to humans. In the recent decade, climate change in Iraq, typified by increased droughts and deserts, has generated numerous environmental issues. This study forecasts dust in five central Iraqi districts using machine learning and five regression algorithm supervised learning system framework. It was assessed using an Iraqi meteorological organization and seismology (IMOS) dataset. Simulation results show that the gradient boosting regressor (GBR) has a mean square error of 8.345 and a total accuracy ratio of 91.65%. Moreover, the results show that the decision tree (DT), where the mean square error is 8.965, c

Machine learning models have recently provided great promise in diagnosis of several ophthalmic disorders, including keratoconus (KCN). Keratoconus, a noninflammatory ectatic corneal disorder characterized by progressive cornea thinning, is challenging to detect as signs may be subtle. Several machine learning models have been proposed to detect KCN, however most of the models are supervised and thus require large well-annotated data. This paper proposes a new unsupervised model to detect KCN, based on adapted flower pollination algorithm (FPA) and the k-means algorithm. We will evaluate the proposed models using corneal data collected from 5430 eyes at different stages of KCN severity (1520 healthy, 331 KCN1, 1319 KCN2, 1699 KCN3 a

Mohammed Hassan Salman is one of the Iraqi national figures who put a clear mark to promote the health institution and to improve the Iraqi people, even it was written about him as "The man who struggled to fight the tuberculosis", He began to struggle against this social courage that has been killing hundreds of Iraqis since his joining of Association for combating tuberculosis in 1999 and his big role in the application of (B-C-G) for the first in Iraq.

The research studied and analyzed the hybrid parallel-series systems of asymmetrical components by applying different experiments of simulations used to estimate the reliability function of those systems through the use of the maximum likelihood method as well as the Bayes standard method via both symmetrical and asymmetrical loss functions following Rayleigh distribution and Informative Prior distribution. The simulation experiments included different sizes of samples and default parameters which were then compared with one another depending on Square Error averages. Following that was the application of Bayes standard method by the Entropy Loss function that proved successful throughout the experimental side in finding the reliability fun