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The requirements of agricultural investment in Iraq in light of his accession Of the World Trade Organization
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Abstract              
          Agricultural investment is one of the main requirements in most economies of the world for its importance in the development of the agricultural sector through the agricultural and technological infrastructure and agricultural research, as well as its impact on most economic, social and service activities, especially if managed and employed scientifically, which generates income and productive capacities and services and new commodities, Unemployed as agricultural investments in Iraq fell significantly after 2003 due to economic, political, social and security factors, which led to the deterioration of production and low contribution to GDP, which led to rely on global markets to provide agricultural commodities to meet domestic demand, so Iraq hopes to reach the level that qualify for the accession process has focused on the problem of the study that accession to the World Trade Organization is a major challenge to developing countries, especially that Iraq is among these countries is facing problems Or challenges facing the agricultural investment process in Iraq, including infrastructure, agricultural development challenges, poor performance of policies and trade, creating an environment not attractive to investment reflected on the weakness of agricultural investments in Iraq. The importance of the study is highlighted by the importance of agricultural investment in the development of the agricultural sector and the development of agricultural research and technology to achieve food security and the recognition of Iraq's obligations towards the organization as an observer member and the impact of the implementation of the Agreement on Agriculture on the agricultural sector in Iraq and to address the experiences of selected countries to identify the process of accession and benefit from The study aimed to study and analyze the reality of agricultural investment and the challenges facing it that created an environment that repels the investment process and the proposed strategy for activating agricultural investment. And the importance of agricultural investment in economic and agricultural activity and develop the reality of Iraqi agriculture and attract capital to the agricultural sector, as well as the statement of expected effects on agricultural investment in Iraq in the case of accession to the World Trade Organization and the obligations imposed on the direction of the organization to obtain the And the impact of the Agreement on Agriculture under the World Trade Organization on Iraq.


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Publication Date
Mon Jan 01 2024
Journal Name
Baghdad Science Journal
Synthesis AgO Nanoparticles by Nd:Yag Laser with Different Pulse Energies
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     One technique used to prepare nanoparticles material is Pulsed Laser Ablation in Liquid (PLAL), Silver Oxide nanoparticles (AgO) were prepared by using  this technique, where silver target was submerged in ultra-pure water (UPW)  at room temperature after that Nd:Yag laser which characteristics by 1064 nm wavelength, Q-switched, and 6ns pulse duration was used to irradiated silver target. This preparation method was used to study the effects of laser irradiation on Nanoparticles synthesized by used varying laser pulse energy 1000 mJ, 500 mJ, and 100 mJ, with 500 pulses each time on the particle size. Nanoparticles are characterized using XRD, SEM, AFM, and UV-Visible spectroscopy. All the structural peaks determined by the XRD

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Publication Date
Wed Oct 17 2018
Journal Name
Journal Of Economics And Administrative Sciences
discriminate analysis and logistic regression by use partial least square
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Abstract

   The method binery logistic regression and linear discrimint function of the most important statistical methods used in the classification and prediction when the data of the kind of binery (0,1) you can not use the normal regression therefore resort to binary logistic regression and linear discriminant function in the case of two group in the case of a Multicollinearity problem between the data (the data containing high correlation) It became not possible to use binary logistic regression and linear discriminant function, to solve this problem, we resort to Partial least square regression.

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