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Tax penalties and their effectiveness in reducing the creative accounting practices: An Empirical Study of the General Commission for Taxes
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The research aims to study and definition of the concept of creative accounting and motives adopted by the management of companies to achieve their own goals and their impact on the reliability of the financial statements and the tax settling accounts and whether that tax administration is able to detect and limit the creative accounting practices and impose legal sanctions deterrent against companies The research has come to a set of conclusions, including:

  1. The administration motives in the use of creative accounting methods, some internal motives related to the interests of the administration in maximizing profits to increase incentives and rewards, others are external, such as the impact on stock prices or reduce the amount of tax calculated on the company for the purpose of tax evasion.
  2. The use of punishments stipulated by the Income Tax Act No. 113 of 1982 amended  As stated in the articles (58-59) helps companies reduce the practice of creative accounting methods and repeated in the future.

Recommended Find the need to develop a tax examination system to include we cause enough of the taxpayers and the discovery of irregularities and accountability in order to pay the holders of the permit complete information and the right for access they earn and the need to activate the prison sentence prescribed in the Income Tax Act under the penalties in charge of the right, which has proved the resurrection of the practices of fraud and fraud, as the impact is greater than the impact of financial penalties to be imposed on the taxpayer, as well as to curb such practices in the future.

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Publication Date
Fri Jan 01 2021
Journal Name
Aip Conference Proceedings
Toxicity analysis of Ag/Au core/shell nanoparticles synthesizes via seed-growth on blood human components
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Publication Date
Sun Jan 01 2023
Journal Name
Journal Of Robotics And Control (jrc)
Artificial Intelligence Based Deep Bayesian Neural Network (DBNN) Toward Personalized Treatment of Leukemia with Stem Cells
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The dynamic development of computer and software technology in recent years was accompanied by the expansion and widespread implementation of artificial intelligence (AI) based methods in many aspects of human life. A prominent field where rapid progress was observed are high‐throughput methods in biology that generate big amounts of data that need to be processed and analyzed. Therefore, AI methods are more and more applied in the biomedical field, among others for RNA‐protein binding sites prediction, DNA sequence function prediction, protein‐protein interaction prediction, or biomedical image classification. Stem cells are widely used in biomedical research, e.g., leukemia or other disease studies. Our proposed approach of

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Publication Date
Mon Nov 01 2021
Journal Name
Energy Reports
Global solar radiation prediction over North Dakota using air temperature: Development of novel hybrid intelligence model
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Publication Date
Thu Feb 07 2019
Journal Name
Iraqi Journal Of Laser
Laser Enhanced Photocatalyic Degradation of Methylene blue using Nanostructured ZnO Catalyst based on Interfacial Charge Transfer
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In this research, annealed nanostructured ZnO catalyst water putrefaction system was built using sun light and different wavelength lasers as stimulating light sources to enhance photocatalytic degradation activity of methylene blue (MB) dye as a model based on interfacial charges transfer. The structural, crystallite size, morphological, particle size, optical properties and degradation ability of annealed nanostructured ZnO were characterized by X-Ray Diffraction (XRD), Atomic Force Microscopy (AFM) and UV-VIS Spectrometer, respectively. XRD results demonstrated a pure crystalline hexagonal wurtzite with crystalline size equal to 23 nm. From AFM results, the average particle size was 79.25nm. All MB samples and MB with annealed nanostr

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Publication Date
Mon Apr 19 2021
Journal Name
Bridge Maintenance, Safety, Management, Life-cycle Sustainability And Innovations
Flexure strengthening of concrete bridge girders with concavely curved soffit using near-surface-mounted CFRP bars
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Publication Date
Fri Jan 01 2016
Journal Name
Asian Journal Of Chemistry
Zwitterionic Ion Chromatography of Dansyl Amino Acids with 4-Vinylbenzyl Dimethyl Ammonio Pentanesulfonate as Stationary Phase
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Publication Date
Thu May 31 2018
Journal Name
International Journal Of Control And Automation
Power Flow Control of Iraqi International Super Grid with Two-Terminal HVDC Techniques Using PSS/E
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Publication Date
Fri Jun 01 2018
Journal Name
Journal Of The College Of Languages (jcl)
Проблемы преподавания русской литературы в иракской аудитории Problems of Teaching Russian Literature to Iraqi College Students
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Аннотация

    в статье рассматриваются проблемы преподавания русской литературы в иракской аудитории.. Использование литературы в преподавании иностранного языка, как правило, имеет две цели. Первая-чисто лингвистическая .. Вторая цель, однако, ассоциируется больше с экстралингвистикой  и представляет собой ознакомление студентов с различными аспектами русской жизни, культуры,

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Publication Date
Sun Mar 01 2026
Journal Name
Journal Of Pharmaceutical Sciences
Mechanistic insights into drug loading effect on dissolution performance of Loratadine–Soluplus® amorphous solid dispersions
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Publication Date
Thu Dec 01 2011
Journal Name
Journal Of Engineering
OPTIMAL DESIGN OF MODERATE THICK LAMINATED COMPOSITE PLATES UNDER STATIC CONSTRAINTS USING REAL CODING GENETIC ALGORITHM
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The objective of the current research is to find an optimum design of hybrid laminated moderate thick composite plates with static constraint. The stacking sequence and ply angle is required for optimization to achieve minimum deflection for hybrid laminated composite plates consist of glass and carbon long fibers reinforcements that impeded in epoxy matrix with known plates dimension and loading. The analysis of plate is by adopting the first-order shear deformation theory and using Navier's solution with Genetic Algorithm to approach the current objective. A program written with MATLAB to find best stacking sequence and ply angles that give minimum deflection, and the results comparing with ANSYS.

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