Many countries are very important in their interest not only in diversifying foreign reserves, but in determining and planning their volume in accordance with the goals set, namely facing potential external shocks, as the research aims to determine the extent of the strength of foreign reserves in the possession of the Central Bank in relation to every influential variable in the Iraqi economy. , in order to determine the minimum level of reserves that requires reconsideration of the exchange rate, as the research adopted the inductive analytical method in analyzing real (Quantitative data) for the research variables in the years of study, as the research adopted a set of analytical indicators approved by the International Monetary Fund, Among these indicators are (the ratio of coverage of foreign reserves to imports, the ratio of coverage of foreign reserves to the gross domestic product, the ratio of coverage of foreign reserves to the broad money supply M2, the ratio of coverage of foreign reserves to foreign debt with interest, the ratio of coverage of foreign reserves to the exported currency). In addition to a suggestion of an analytical indicator that fits with the Iraqi monetary reality, which is (the ratio of coverage of foreign reserves to the sales of the currency sale window), through which the results and conclusions were reached, the most important of which was that the foreign reserves are characterized by very high adequacy indicators, and this gives a feeling of reassurance in the long run. The average towards internal and global events, but in the long run and with the continued total dependence on the rentier economy (single source of the dollar), the indicators of the adequacy of reserves enter the scope of uncertainty, especially with the most important indicator of sufficiency, which is the ratio of foreign reserves to imports due to the lack of the real production base.
Receipt date: 12/28/2020 accepted date: 20/1/2021 Publication date: 12/31/2021
This work is licensed under a Creative Commons Attribution 4.0 International License.
Russia has emerged as a rising and influential power in the international arena, especially with Vladimir Putin's assumption of power and his desire for the rise of Russia and the end of the "unipolarism" represented by the hegemony of the United States of
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The reason for choosing this topic is due to two things:
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Lung cancer is one of the most serious and prevalent diseases, causing many deaths each year. Though CT scan images are mostly used in the diagnosis of cancer, the assessment of scans is an error-prone and time-consuming task. Machine learning and AI-based models can identify and classify types of lung cancer quite accurately, which helps in the early-stage detection of lung cancer that can increase the survival rate. In this paper, Convolutional Neural Network is used to classify Adenocarcinoma, squamous cell carcinoma and normal case CT scan images from the Chest CT Scan Images Dataset using different combinations of hidden layers and parameters in CNN models. The proposed model was trained on 1000 CT Scan Images of cancerous and non-c
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Research Summary
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