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المشروع النووي الايراني :بين الاحتواء السياسي والتهديد العسكري الاسرائيلي
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يناقش البحث النشأة التاريخية للبرنامج النووي الايراني وحقيقة الدوافع الايرانية ورا المساعي وراء امتلاك القنية النووية ، ومارثون المفاوضات التي قادتها الترويكا الثلاثة النتمثله بكل من (فرنسا ،المانيا ، بريطانيا)لاحتواء تداعيات البرنامج النووي الايراني في ما لو استطاعت ايران تصميع قنبلة نووية والضغوط الامركية والاسرائيلية لاحتواء البرنامج

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Publication Date
Thu Apr 30 2020
Journal Name
Journal Of Economics And Administrative Sciences
Towards building an educational system free of scientific corruption (Applied study in a sample of colleges of higher education in Iraq within the framework of the government program and the directions of the Supreme Council for Combating Corruption)
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Nations are developed with education and knowledge that raise the status of society in its various segments, beyond that it leads to underdevelopment and deterioration in various sectors, whether economic, health, social, etc. If we considered the general name of The ministry of Education & Scientific Studies, then the second part seems to be not functioning, since scientific research has no material allocation and remains based on the material potential of the university professor. As for the first half of the topic, the reality of the situation reveals problems related to the Holy Trinity of Education which is (Professor - Student - the scientific method) where universities suffer at the present time from this problem, and

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Publication Date
Sat Dec 01 2012
Journal Name
Journal Of Economics And Administrative Sciences
Comparing Several Nonlinear Estimators for Regression Function
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The aim of this paper is to estimate a nonlinear regression function of the Export of the crude oil Saudi (in Million Barrels) as a function of the number of discovered fields.

 Through studying the behavior of the data we show that its behavior was not followed a linear pattern or can put it in a known form so far there was no possibility to see a general trend resulting from such exports.

We use different nonlinear estimators to estimate a regression function, Local linear estimator, Semi-parametric as well as an artificial neural network estimator (ANN).

The results proved that the (ANN) estimator is the best nonlinear estimator am

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