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GENETIC ANALYSIS OF INTERLEUKIN 37GENE SINGLE NUCLEOTIDE POLYMORPHISMS IN ALOPECIA AREATA PATIENTS
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Background: Alopecia areata(AA) is a common autoimmune disease that causes hair loss without scarring. It occurs as a result of T-helper 1 (Th1) and Th17 cells attacking the anagen hair follicles. Genetic factors play a role in the occurrence of infection, which stimulates the production of pro and anti-inflammatory interleukins. Polymorphisms of IL-37 play a role in autoimmune diseases. However, IL37 single nucleotide polymorphisms(SNP) have not been identified in patients with AA. Therefore, this study aimed to reveal the IL37 gene SNP and its relationship to AA. Methods: Genotyping of IL-37 gene single nucleotide polymorphisms SNPs were detected using sequence-specific primer-polymerase chain reaction (SSP-PCR) method was done following the protocol of DNA Extraction kit and PCR PreMix SNP Genotyping Assays in 51 (32 males & 19 females at age mean 27.90±1.66 years) patients with AA and 50 (21 males & 29 females at age mean30.64±2.08years ) healthy individuals. Results: The results of the present study showed a significant increase in the mean level of IL-37 in the serum of patients with AA compared to healthy subjects (184.18±69.45 vs.153.28±48.17) pg/ml. This increase did not constitute a significant difference at a probability level less than. In addition, genotypes of single nucleotide polymorphisms (SNPs) of IL-37 gene were rs3811045 (5756 T>C) and rs3811046 (5831 G>T) that result in substitution and inversion mutations, and thus cause a change in the type of amino acid. The CC and allele C and TC of rs3811045 were risk factors for AA due to a significantly higher odd ration (OR) value and a significantly increased frequency percentage in patients group compared to a healthy control group (37.50 vs 25.58 OR: 1.75 p = 0.264, 95% CI = 0.72–4.25, 66.0 vs 86.0 OR: 1.78 p = 0.068, 95% CI = 0.98–3.23; 56.25 vs 55.81 OR: 1.02 p = 1.0 95% CI = 0.45–2.31 respectively). Also the results of rs3811046 recorded that the TT and allele T frequency percentages were significant increase in patients group (39.58 vs 25.58 OR: 1.91 P = 0.184, 95% CI = 0.79-4.63, 66.0 vs. 52.0 OR: 1.74, P =0.072,95%CI= 0.96–3.15) respectively, which was a risk factor for infection. This study is the first of its kind to show the relationship of IL-37 level and genetic single nucleotide polymorphisms with AA. Conclusions The present study's results can conclude that the TC, CC and the C allele of IL-37 SNP rs3811045 and TT genotypes and the T allele of IL-37 SNP rs3811046 have a role in the risk of developing AA. It is recommended to conduct several genetic studies of other interleukin genes and to ascertain their relationship to AA. © 2023, Journal of Biomechanical Science and Engineering.

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Publication Date
Thu Jan 20 2022
Journal Name
Webology
Red Monkey Optimization and Genetic Algorithm to Solving Berth Allocation Problems
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In the past two decades, maritime transport traffic has increased, especially in the case of container flow. The BAP (Berth Allocation Problem) (BAP) is a main problem to optimize the port terminals. The current manuscript explains the DBAP problems in a typical arrangement that varies from the conventional separate design station, where each berth can simultaneously accommodate several ships when their entire length is less or equal to length. Be a pier, serve. This problem was then solved by crossing the Red Colobuses Monkey Optimization (RCM) with the Genetic Algorithm (GA). In conclusion, the comparison and the computational experiments are approached to demonstrate the effectiveness of the proposed method contrasted with other

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Publication Date
Wed Apr 10 2019
Journal Name
Engineering, Technology & Applied Science Research
Content Based Image Clustering Technique Using Statistical Features and Genetic Algorithm
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Text based-image clustering (TBIC) is an insufficient approach for clustering related web images. It is a challenging task to abstract the visual features of images with the support of textual information in a database. In content-based image clustering (CBIC), image data are clustered on the foundation of specific features like texture, colors, boundaries, shapes. In this paper, an effective CBIC) technique is presented, which uses texture and statistical features of the images. The statistical features or moments of colors (mean, skewness, standard deviation, kurtosis, and variance) are extracted from the images. These features are collected in a one dimension array, and then genetic algorithm (GA) is applied for image clustering.

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Publication Date
Sun Feb 25 2024
Journal Name
Baghdad Science Journal
Facial Emotion Images Recognition Based On Binarized Genetic Algorithm-Random Forest
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Most recognition system of human facial emotions are assessed solely on accuracy, even if other performance criteria are also thought to be important in the evaluation process such as sensitivity, precision, F-measure, and G-mean. Moreover, the most common problem that must be resolved in face emotion recognition systems is the feature extraction methods, which is comparable to traditional manual feature extraction methods. This traditional method is not able to extract features efficiently. In other words, there are redundant amount of features which are considered not significant, which affect the classification performance. In this work, a new system to recognize human facial emotions from images is proposed. The HOG (Histograms of Or

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Publication Date
Tue Mar 19 2019
Journal Name
Tikrit Journal For Agricultural Sciences
Dependence and Phenotypic and Molecular Labels in Estimations of Genetic of Variance of Some Genotypes of Corn (Zea mays L.)
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Afield experiment was conducted in the college of Agriculture labs Sulaimanya University in 2014 to estimate the genetic variance between 12 genotypes of maize. (SSR) technology was used depending on (PCR) technology. Twenty primers were used for the genetic variance analysis between the studied genotypes and 15 primers showed polymorphic results in repeated experiment caused to experinse 52 alleles which gave 307 bands of range 3.1 by different molecular sizes ranged between 80-1000 pair base the value of PIC reached to phi069 gave high value (0.8785), the range of genetic diversity for studied genotypes reached to (0.625) gave primers pairs phi069 hig value for genetic diversity (0.888). The value of total allele replication ranged at pri

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Publication Date
Sat Jun 12 2021
Journal Name
Biochemical And Cellular Archives
EFFECT OF SINGLE ORAL DOSE OF FUMONISIN B1 ON IMMUNOHISTOCHEMICAL EXPRESSION OF TLR-2 AND 4 IN MICE
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Fumonisin B1 is toxic secondary metabolites compound produced by Fusarium spp. on maize and maize products causes health problems to human and animal. Therefore, this research is planned to study the effect of FB1 on the expression of TLR-2 & 4 in liver and kidney cells of mice. Four group of male mice were orally administrated with single dose of FB1 toxin as the following: 0 ppb, 800 ppb, 1200 ppb and 1600 ppb. After two weeks all animals were sacrificed, liver and kidney autopsies were taken and the level of TLR-2 & 4 detected in each four group by immunohistochemistry technique (IHC). According to the IHC examination of groups (1, 2, 3 and 4) strong expression of TLR2 in liver and kidney were (0%, 33.3%, 100%, 100%), respectively. This

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Scopus
Publication Date
Wed Feb 01 2023
Journal Name
International Journal Of Rheumatic Diseases
A 5 item version of the Workplace Activity Limitation Scale successfully identifies impaired work productivity in rheumatoid arthritis patients: A split‐sample factor analysis approach
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Abstract<sec><title>Background

There is a growing interest in studying the effects of arthritis on a person's work productivity using a growing variety of outcome indicators.

Objectives

To develop a valid and reliable shortened version of the Workplace Activity Limitation Scale 12 (WALS‐12) for assessing work productivity limitations in rheumatoid arthritis (RA) patients.

Methods

A cross‐sectional study involving 277 RA patients was conducted. An exploratory factor analysis on WALS‐12 was used for item reduction on the first sample. Then confirmatory factor ana

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Publication Date
Thu Jul 16 2026
Journal Name
Journal Of Baghdad College Of Dentistry
Effect of orthodontic tooth movement on salivary levels of Interleukin-1beta, Tumor Necrosis Factor-alpha, and C- reactive protein
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Background: Orthodontic force is considered to stimulate cells in the periodontium to release many mediators such as cytokines which play a responsible role for periodontal and alveolar bone remodeling, bone resorption and new bone deposition. Aim of this study was carried out to estimate changes of the (interleukin-one beta, tumor necrosis factor – alpha and C-reactive protein) levels in unstimulated whole saliva during the leveling stage of orthodontic tooth movement. Materials and methods: The sample consisted of thirty adult patients (12 males and 18 females) with ages ranges (19-23) years. Each sample had Class I and Class II malocclusion dental classification and required bilateral extraction of their maxillary first premolars, und

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Publication Date
Sat Sep 30 2017
Journal Name
Al-khwarizmi Engineering Journal
Study the Effect of Multilayer Single Point Incremental Forming on Residual Stresses for Bottom Plates
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Abstract

 

Knowing the amount of residual stresses and find technological solutions to minimize and control them during the production operation are an important task because great levels of deformation which occurs in single point incremental forming (SPIF), this induce highly non-uniform residual stresses. In this papera propose of a method for multilayer single point incremental forming with change in thickness of the top plate (0.5, 0.7, 0.9) mm and lubrication or material between two plates(polymer, grease, grease with graphite, mos2) to knowing an effect of this method  and parameters on residual stresses for the bottom plates. Also compare these results for the

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Publication Date
Tue Dec 19 2017
Journal Name
Al-khwarizmi Engineering Journal
Prediction of Reaction Kinetic of Al- Doura Heavy Naphtha Reforming Process Using Genetic Algorithm
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In this study, genetic algorithm was used to predict the reaction kinetics of Iraqi heavy naphtha catalytic reforming process located in Al-Doura refinery in Baghdad.  One-dimensional steady state model was derived to describe commercial catalytic reforming unit consisting of four catalytic reforming reactors in series process.

The experimental information (Reformate composition and output temperature) for each four reactors collected at different operating conditions was used to predict the parameters of the proposed kinetic model. The kinetic model involving 24 components, 1 to 11 carbon atoms for paraffins and 6 to 11 carbon atom for naphthenes and aromatics with 71 reactions. The pre-exponential Arrhenius constants and a

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Publication Date
Thu Mar 19 2015
Journal Name
Al-academy
Aesthetic single-Baghdadi in the works of the ceramists Siham Saudi (analytical study): نعمات محمد رضا حسين
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Baghdad (the capital of the Abbasid Caliphate, and his legacy oldest civilizations in history, with glory ethyl). 1. benediction this city landmarks archaeological evidence of their own Kkabbab mosques and forms gates and (Aelchenachel) 2, which adorn the walls of buildings and Chaababeckha high and palm trees, all these vocabulary inspired artists embody Baghdad warmest dissolved in their artwork and all those who lived and grew up in Baghdad embodied in his memory for the nights Beauties and their lights and Hoa_khasha. Ceramic Arts art one who embodied the most important symbols that represent the beauty and credited with Baghdad. And many Iraqis potters inspired single Baghdadi in their work, notably ceramists late arrows Saudi which

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