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DETERMINATION OF ADVANCED OXIDATIVE PROTEIN PRODUCTS LEVELS AND ITS CORRELATION WITH INFLAMMATION IN DIABETIC FOOT PATIENTS
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protein oxidation through oxidative stress, which represents the overall status of the protein in the cell/tissue. Due to their increased levels of AOPPs were reported during T2DM. The aim of this study was to assess AOPP level in T2DM subjects with foot ulcer (DFU) and explore its correlation with infection. Type 2 diabetic patients (n=108) and healthy subjects (n=25) were enrolled in this study. The T2DM group was subdivided to diabetic patients without complications (n=25) and eighty-three (83) of them have diabetic foot. They were sub- grouped into two groups according to presence Osteomyelitis and abscess, and in reliance on medical analysis of WBC count and CRP. Group of diabetic without superficial or deep ulcer and no osteomyelitis or abscess G(0,1,2) (n =45), which consist patients with grades (0,1,2), and group of diabetic with deep ulcer abscess and osteomyelitis G(3,4,5)(n = 38) that consist patients with grade (3,4,5). Twenty- five (25) non-diabetic apparently healthy subjects serve as control (group C) were enrolled. The Biochemical analysis was done for all participants such as serum glucose, hemoglobin A1C, insulin, lipid profile, WBC, and C-reactive protein (CRP). Serum AOPP concentration was determined using an enzyme-linked immunosorbent assay kit. The oxidative status was assessed by measuring catalase activity, glutathione (GSH), malondialdehyde (MDA) and total thiol levels. AOPP, MDA, WBC, and CRP, were significantly higher in G (0,1,2) and G (3,4,5) groups in comparison to control group, while GSH and total thiol levels were significantly lower as compared with control group. The outcomes of this study reveal the incidence of oxidative stress among DFU patients with higher Wagner grades and the presence of relation between inflammation state in DFU subjects and oxidative stress.

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Publication Date
Fri Dec 01 2017
Journal Name
Journal Of Economics And Administrative Sciences
Multi – Linear in Multiple Nonparametric Regression , Detection and Treatment Using Simulation
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             It is the regression analysis is the foundation stone of knowledge of statistics , which mostly depends on the ordinary least square method , but as is well known that the way the above mentioned her several conditions to operate accurately and the results can be unreliable , add to that the lack of certain conditions make it impossible to complete the work and analysis method and among those conditions are the multi-co linearity problem , and we are in the process of detected that problem between the independent variables using farrar –glauber test , in addition to the requirement linearity data and the lack of the condition last has been resorting to the

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Publication Date
Sat Jan 01 2022
Journal Name
International Journal Of Management And Enterprise Development
Studying the decision-making state and impact in Iraqi construction projects
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Publication Date
Wed Aug 19 2020
Journal Name
International Journal Of Research In Social Sciences And Humanities
HUMOUR IN THE AMERICAN AND BRITISH COMEDYEPISODES: A DISCOURSE ANALYSIS STUDY
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DBNRAAK Mohammed, International Journal of Research in Social Sciences and Humanities, 2020

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Publication Date
Tue Sep 08 2020
Journal Name
Baghdad Science Journal
Fat Mass and Obesity Association gene Polymorphism in PCOS Iraqi Women
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             Polycystic syndrome (PCOS) is a considerable infertility disorder in adolescents and adult women in reproductive age. Obesity is a vigorous risk factor related to POCS.  This study aims to evaluate the association of obesity and PCOS by investigating several parameters including:  anthropological, biochemical (lipid profile, fasting blood sugar, glucose tolerance test, and hormone levels (LH, FSH, LH/FSH ratio, Estradiol2 and Testosterone),and genetic parameters (Fat mass and Obesity associated gene (FTO) polymorphism at rs17817449) in 63 obese and non-obese PCOS women. The biochemical tests were investigated by colorimetric methods while FTO gene polymorphism was detected by PCR–RFLP.  Lipid profile, F

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Publication Date
Mon Jan 01 2024
Journal Name
Explainable Artificial Intelligence In The Digital Sustainability Administration
Artificial Intelligence and Trends Using in Sustainability Audit: A Bibliometric Analysis
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Publication Date
Tue Sep 08 2020
Journal Name
Baghdad Science Journal
Fat Mass and Obesity Association gene Polymorphism in PCOS Iraqi Women
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             Polycystic syndrome (PCOS) is a considerable infertility disorder in adolescents and adult women in reproductive age. Obesity is a vigorous risk factor related to POCS.  This study aims to evaluate the association of obesity and PCOS by investigating several parameters including:  anthropological, biochemical (lipid profile, fasting blood sugar, glucose tolerance test, and hormone levels (LH, FSH, LH/FSH ratio, Estradiol2 and Testosterone),and genetic parameters (Fat mass and Obesity associated gene (FTO) polymorphism at rs17817449) in 63 obese and non-obese PCOS women. The biochemical tests were investigated by colorimetric methods while FTO gene polymorp

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Scopus (10)
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Publication Date
Tue Sep 08 2020
Journal Name
Baghdad Science Journal
Fat Mass and Obesity Association gene Polymorphism in PCOS Iraqi Women
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             Polycystic syndrome (PCOS) is a considerable infertility disorder in adolescents and adult women in reproductive age. Obesity is a vigorous risk factor related to POCS.  This study aims to evaluate the association of obesity and PCOS by investigating several parameters including:  anthropological, biochemical (lipid profile, fasting blood sugar, glucose tolerance test, and hormone levels (LH, FSH, LH/FSH ratio, Estradiol2 and Testosterone),and genetic parameters (Fat mass and Obesity associated gene (FTO) polymorphism at rs17817449) in 63 obese and non-obese PCOS women. The biochemical tests were investigated by colorimetric methods while FTO gene polymorphism was detected by PCR–RFLP.  Lipid profile, F

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Publication Date
Sun Aug 01 2021
Journal Name
Bulletin Of Electrical Engineering And Informatics
Robust speaker verification by combining MFCC and entrocy in noisy conditions
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Automatic speaker recognition may achieve remarkable performance in matched training and test conditions. Conversely, results drop significantly in incompatible noisy conditions. Furthermore, feature extraction significantly affects performance. Mel-frequency cepstral coefficients MFCCs are most commonly used in this field of study. The literature has reported that the conditions for training and testing are highly correlated. Taken together, these facts support strong recommendations for using MFCC features in similar environmental conditions (train/test) for speaker recognition. However, with noise and reverberation present, MFCC performance is not reliable. To address this, we propose a new feature 'entrocy' for accurate and robu

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Publication Date
Sat Dec 01 2018
Journal Name
Swarm And Evolutionary Computation
Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy
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Publication Date
Wed Jan 01 2025
Journal Name
Heliyon
Treatment of hospital wastewater by anodic oxidation using a new approach made by combining rotation with pulsed electric current on Cu-SnO2–Sb2O5 rotating cylinder anode
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