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Vitamin D receptor rs2228570 and rs1544410 genetic polymorphisms frequency in Iraqi thalassemia patients compared to other ethnic populations
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Background: The genetic polymorphisms of vitamin D receptor (VDR) have an association with thalassemia development, additionally to the environmental elements that elicited the disorder in the genetically predisposed individuals. As well, VDR functions responsible for the regulation of bone metabolism, such its part in immunity. Aim: The sitting study intended to inspect the association between thalassemia disease and the genetic polymorphisms of VDR among the Iraqi population then compared these findings to other findings of thalassemia patients in other different ethnic populations. Materials and methods: The restriction enzymes Bsm-I and Fok-I were applied to determine the genetic polymorphisms frequencies of VDR by a Polymerase Chain Reaction – Random Fragment Length Polymorphisms (PCR-RFLP) techniques of the targeted parts (rs2228570 and rs1544410) in 70 Iraqi patients suffering from thalassemia (18 males and 52 females) and 75 Iraqi healthy participants as a control group (18 males and 52 females). Also, the comparison between the present findings of VDR genetic polymorphisms in Iraqi thalassemia patients and other previous findings for thalassemia patients in different ethnic populations for the selected VDR Bsm-I and Fok-I sites were done. Results: The present findings manifested a significant difference of VDR Bsm-I and Fok-I genetic polymorphisms frequency (rs2228570 and rs1544410) in the thalassemia patient's group contrasted to the healthy control group. In VDR rs2228570, the AA genotype and A allele frequency were significantly increased in the patients' group contrasted to the healthy control group (44.29 vs. 8.0%, OR: 9.14, 95% CI: 3.53–23.68, p: 4.1 × 10−7; 69.0 vs. 27.0%, OR: 6.02, 95% CI: 3.27–11.06, p: 3.9 × 10−9, respectively). while, the results of VDR genetic polymorphisms rs1544410 manifested that the CC and CT genotyping and C allele frequency were significantly increased among the patient's group contrasted to the healthy control group (28.75 vs. 6.67%, OR: 5.60, 95% CI: 1.98–15.81, p: 7.2 × 10−4; 57.14 vs. 24.0, OR: 4.22, 95% CI: 2.08–8.55, p: 8.1 × 10−5; and 57.0 vs. 19.0%, OR: 6.39, 95% CI: 3.0–10.66, p: 3.9 × 10−9, respectively). Also, it manifested the genetic polymorphisms variance of VDR rs2228570 and rs1544410 between the Iraqi thalassemia patients and other ethnic thalassemia patients. The results showed different variants among the Iraqi thalassemia patients' polymorphisms and other ethnic thalassemia patients' polymorphisms. Conclusions: The present results demonstrated a significant association between the genetic polymorphisms of VDR and thalassemia disease, the AA genotype and A allele frequency was significantly increased among the thalassemia patients' group compared to the controls in VDR Bsm-I polymorphism (rs2228570). While the CC and CT genotypes and C allele frequency were significantly increased among the thalassemia patients' group compared to the controls in VDR Fok-I polymorphism (rs1544410). As well, it indicates the variance of VDR Bsm-I and Fok-I genetic polymorphisms frequencies between the Iraqi thalassemia patients and other thalassemia patients from different ethnic populations.

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Publication Date
Tue Nov 09 2021
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
The impact of financial consumer protection to achieve financial inclusion
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The study aimed at knowing the financial consumer about the available protection from financial and banking services, presenting, and examining the evidence of some indicators indicating the reality of financial inclusion in the Iraqi banking system. Therefore, the study sought to know the extent of the level of protection available to the financial consumer as a result of its use of financial and banking services by the Iraqi banking system, and what It is the reality of financial inclusion in the banking system by measuring some financial and banking indicators. The study relies on the two (analytical) and (descriptive) approaches based on the questionnaire form and the data issued by the Central Bank of Iraq (2017-2020). Watch

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Publication Date
Sun Dec 27 2020
Journal Name
Journal Of Accounting And Financial Studies ( Jafs )
Banking Market & Its Effect To Fulfill Competitive Advantage For Banks
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As harmony with modernized environmental developments which were appeared within economical , banking areas with what accompanied of chances or challenges , the matter is required to face those modernizations , adaptation with them , as considering them strength points not weak points , and these developments banking marketing as it should be on the Iraqi public banks and private and hybrid to take advantage of this process to increase excellence and the expansion of the banking business opportunities, , enlarge in the banking businesses especially the banking transaction are distinguished by serious competition & strong between banks , and the final result is to serve Iraqi banking system & customers that the national economy ta

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Publication Date
Sat Dec 17 2022
Journal Name
Scientometrics
Implementation of a new research indicator to QS ranking system
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Publication Date
Sun May 01 2022
Journal Name
International Journal Of Multiphase Flow
Application of artificial neural network to predict slug liquid holdup
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Publication Date
Sat Jul 20 2024
Journal Name
Journal Of Interdisciplinary Mathematics
Elzaki transform decomposition approach to solve Riccati matrix differential equations
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Elzaki Transform Adomian decomposition technique (ETADM), which an elegant combine, has been employed in this work to solve non-linear Riccati matrix differential equations. Solutions are presented to demonstrate the relevance of the current approach. With the use of figures, the results of the proposed strategy are displayed and evaluated. It is demonstrated that the suggested approach is effective, dependable, and simple to apply to a range of related scientific and technical problems.

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Publication Date
Wed Mar 10 2021
Journal Name
Baghdad Science Journal
New algorithms to Enhanced Fused Images from Auto-Focus Images
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Enhancing quality image fusion was proposed using new algorithms in auto-focus image fusion. The first algorithm is based on determining the standard deviation to combine two images. The second algorithm concentrates on the contrast at edge points and correlation method as the criteria parameter for the resulted image quality. This algorithm considers three blocks with different sizes at the homogenous region and moves it 10 pixels within the same homogenous region. These blocks examine the statistical properties of the block and decide automatically the next step. The resulted combined image is better in the contras

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Publication Date
Wed Jan 08 2025
Journal Name
Interventional Cardiology
Intravascular Foreign Bodies Retrieval: Navigating Differences From Childhood to Adulthood
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Publication Date
Sat Dec 01 2018
Journal Name
Al-khwarizmi Engineering Journal
Optimum Design of Stiffened Plate-Structure Subjected to Static Loading
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The field of structural optimization (optimal design) has grown rapidly over the past decades with many different optimization methods that could be used to produce a structure of minimum weight. This research deals with two aspects, in the first, a general numerical technique based on the finite element analysis and it suggests to investigate the preliminary behavior of metal stiffened plate under action of static load environment. The technique was included a finite element model of the structures using high- order isoparimetric plate elements to be used to create a certain models to obtain their optimum design. The models are characterized such that, each model is builded using different types of stiffener configuration. The second as

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Publication Date
Mon Jan 01 2024
Journal Name
International Journal Of Mathematics And Computer Science
Artificial Intelligence Techniques to Identify Individuals through Palm Image Recognition
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Artificial intelligence (AI) is entering many fields of life nowadays. One of these fields is biometric authentication. Palm print recognition is considered a fundamental aspect of biometric identification systems due to the inherent stability, reliability, and uniqueness of palm print features, coupled with their non-invasive nature. In this paper, we develop an approach to identify individuals from palm print image recognition using Orange software in which a hybrid of AI methods: Deep Learning (DL) and traditional Machine Learning (ML) methods are used to enhance the overall performance metrics. The system comprises of three stages: pre-processing, feature extraction, and feature classification or matching. The SqueezeNet deep le

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Publication Date
Sun Jul 01 2012
Journal Name
Journal Of Computer Science
Peer-to-Peer Video Conferencing Using Hybrid Content Distribution Model
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