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Orphans and Families of Martyrs of Terrorism Expert System-OFMTES
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The increasing number of orphans and their organizations and institutes in our community makes it increasingly important to design and develop an expert system that supports decisions concerning orphans and their families. This system can be used by any orphans organization to facilitate its work.
The proposed work is designed to manage the Orphans and Families of Martyrs of Terrorism Expert System (OFMTES) by registry all information about all orphans to display mostly orphan deserves bill, data is entered for each orphan, and with each entry a counter is increased according to this input information; the output result represents the score for that orphan. Different orphans have different scores. Coloring is used to know the degree of orphans merit; that is, when background color of that text is red this means that the orphan does not deserve bill, when the color is yellow this means that the orphan deserves bill but in little ratio, when the color is blue this means that the orphan deserves bill but in more ratio from blue, and when the color is green this orphan is mostly deserves bill.
The program was implemented using Microsoft office access 2003 and visual basic programming language, and can be executed using Pentium two or more computer.
Keywords: Expert system, knowledge engineering, decision support system, Knowledge Representation, Information Technology and Artificial Intelligence.

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Publication Date
Tue Jul 29 2025
Journal Name
Plasmonics
Innovative Jet Plasma-Assisted Green Synthesis of TiO2@Ag Core–Shell Nanoparticles Using Chard Leaf Extract for Antibacterial Applications
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Scopus (9)
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Publication Date
Mon Mar 15 2021
Journal Name
Iraqi National Journal Of Nursing Specialties
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Publication Date
Sun Dec 28 2025
Journal Name
Journal Of Physical Education
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Mon Mar 01 2021
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Journal Name
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Publication Date
Mon Jun 01 2020
Journal Name
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An An Accurate Estimation of Shear Wave Velocity Using Well Logging Data for Khasib Carbonate Reservoir - Amara Oil Field
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Shear and compressional wave velocities, coupled with other petrophysical data, are vital in determining the dynamic modules magnitude in geomechanical studies and hydrocarbon reservoir characterization. But, due to field practices and high running cost, shear wave velocity may not available in all wells. In this paper, a statistical multivariate regression method is presented to predict the shear wave velocity for Khasib formation - Amara oil fields located in South- East of Iraq using well log compressional wave velocity, neutron porosity and density. The accuracy of the proposed correlation have been compared to other correlations. The results show that, the presented model provides accurate

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Publication Date
Sat Jul 01 2023
Journal Name
Iop Conference Series: Earth And Environmental Science
Evaluation the Effect of some Plant Extracts in Controlling the Oriental Hornet vespa orientalis Linnaeus, 1771 Near the Apiaries
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Publication Date
Sat Jun 04 2022
Journal Name
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Agitation Negative Social Behaviours in the Talk Shows of the (NRT) Satellite Channel: Research extracted from a master's thesis
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This research asks what are negative social behaviours in the Kurdistan Region of Iraq (KRI) raised by the talk shows on the (NRT) channel? Furthermore, it aims to identify the most significant themes addressed by talk shows on the (NRT) channel regarding negative social behaviours in the KRI by using the content analysis approach through non-random purposive sampling to understand the dialogue contents that dealt with this subject. This study has reached a set of results: through its talk shows, the (NRT) channel attempts to create a media vision about the spread of negative social behaviours in the KRI and stand up to the dangers associated with these behaviours. At the same time, those programs tried to marginalize the behaviours that

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Publication Date
Sun Oct 13 2019
Journal Name
Spe Kuwait Oil & Gas Show And Conference
Optimization of Fracture Parameters for Hydraulic Fractured Horizontal Well in a Heterogeneous Tight Reservoir: An Equivalent Homogeneous Modelling Approach
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Publication Date
Mon Aug 08 2022
Journal Name
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