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Prevalence of viral co-infection among COVID-19 cases in association disease severity and oral hygiene
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Background: In December 2019, an episode of COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARSCoV2) was reported in Wuhan, China and has spread around the world, increasing the number of contagions. Cytomegalovirus (CMV) and Epstein-Barr virus (EBV) are common herpesviruses that can cause persistent latent infections and affect the developing immune system.The study was conducted to explore the prevalence and reactivation of CMV and EBV antibodies in COVID-19 patients group in comparison to healthy group and to investigate the association between the presence of these viruses with each of severity of disease and oral hygiene. Materials and Methods: Eighty Five subjects were participated in this case control study (50 patients with COVID-19 and 35 healthy controls), their age range from 18 to 77 years. Oral health status was established by oral hygiene index. Serum obtained from patients and controls was analyzed using ELISA to assess levels of anti- CMV and anti- EBV antibodies. Results: The study revealed that the mean of anti-EBV IgG in patients was significantly elevated (p<0.01) than that in controls. Otherwise, there was no significant difference (p>0.05) in levels of anti- EBV IgM, anti- CMV IgG and IgM between two groups (P>0.05). In addition there were no significant differences between patients and controls (p>0.05) in the number and percentage of anti-EBV and anti-CMV antibodies. Interestingly, there was a significant increase in the level of anti-CMV IgM in severe cases as compared to mild cases, (P<0.01). Furthermore, these results revealed that there were no significant differences (P>0.05) in levels of anti-viral antibodies in patients with good oral hygiene compared to patients with poor oral hygiene. Conclusions: Higher frequency of anti-EBV IgG among patients indicates that latent infection is more common in COVID-19 patients. While an increased percentage of anti-CMV IgM indicated reactivation of latent infection and is related to disease severity suggesting that COVID-19 can cause cellular immune impairment.

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Publication Date
Mon May 08 2017
Journal Name
Research Journal Of Pharmaceutical, Biological And Chemical Sciences
Structure, Diagnosis, and in the Vitro Antimicrobial evaluation of 2-amino pyridine-derived Ligand Schiff base and its complexes with Cu (II), Hg (II), Ni (II), Mn (II) and Co (II
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Publication Date
Sun Jan 14 2024
Journal Name
Journal Of Al-rafidain University College For Sciences ( Print Issn: 1681-6870 ,online Issn: 2790-2293 )
استعمال اسلوب المعدل الموزون للنقاط المقربة لتقدير انبعاثات ثاني اوكسيد الكاربون 〖CO〗_2
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في هذا البحث تم استعمال احد الاساليب التقريبية وهو ما يسمى اسلوب المعدل الموزون للنقاط المقربة (Weighted Average of Rounded Points-WARPing) لتقدير انبعاثات ثاني اوكسيد الكاربون CO_2 في العراق عند استعمال مقدريNadaraya-Watson, Local Linear estimator للفترة الممتدة من عام (1990) ولغاية (2019) ومن ثم المقارنة بين اداء تلك المقدرات وقد اثبتت النتائج تفوق طريقة Local Linear estimator وخاصة في النقاط عند نقاط الحد وتميزها عن طريقة Nadaraya–Watson على الرغم من الاداء ا

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Publication Date
Mon Jan 01 2024
Journal Name
Pharmaceutical Sciences Asia
Effect of sub-minimum inhibitory concentrations of ceftriaxone on the Pseudomonas aeruginosa adhesion to human oral mucosal epithelial cells and biofilm formation to polystyrene in vitro
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Publication Date
Tue Nov 11 2025
Journal Name
Revista Iberoamericana De Psicología Del Ejercicio Y El Deporte, Issn 1886-8576, Vol. 17, Nº. 6, 2022, Págs. 405-407
Bullying behavior and its relationship to achievement motivation for young football players under (19) years old
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Autoría: Muwafaq Obayes Khudhair. Localización: Revista iberoamericana de psicología del ejercicio y el deporte. Nº. 6, 2022. Artículo de Revista en Dialnet.

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Publication Date
Tue Jan 01 2013
Journal Name
College Of Education Journal, Al-mustansiriyah University
Artin Exponent for the Projective Special linear group PSL(2, pk) where pk = 5,7,11,13 and 19
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Publication Date
Mon Mar 13 2017
Journal Name
Journal Of Baghdad College Of Dentistry
Dental Caries Experience and Salivary Elements Among A Group of Young Adults In Relation to Age and Gender
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ABSTRACT Background: Dental caries is a most common social and intractable infectious disease in human. Saliva is critical for preserving and maintaining oral health and salivary elements had many effects on caries experience. Aim of study: This study was conducted to assess dental caries severity by age and gender and their relation to salivary zinc and copper among a group of adults aged (19-22) years. Materials and methods: After examination eighty persons aged 19-22 years of both gender. Caries severity was documented according to DMFS index. Stimulated salivary samples were collected and chemically analyzed under standardized condition to detect salivary elements zinc and copper. Concentrations of Zinc and copper were measured by using

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Publication Date
Fri Jun 01 2012
Journal Name
European Journal Of Scientific Research
Occurrence of Cryptosporidium spp among people live in north of Baghdad
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In this study 737 stool specimens were collected from people attending some primary health care centres and hospitals in North of Baghdad, during the period from beginning of April 2009 till the end of March 2010. Different factors were examined to be related with the prevalence of Cryptosporidiosis which were (number of family member, travelling history, source of drinking water and domestic animal present). Significant relations (p≤0.05) were observed between infection rate and the following factor: -Number of family member: The high percentage of Cryptosporidium spp positive cases were seen in families composed of (15-19) and (more than 20) individual which were 28.32% and 16.37% respectively when compared with other family clusters -T

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Publication Date
Tue Feb 01 2022
Journal Name
Academy Of Accounting And Financial Studies Journal
THE ROLE OF THE TARGET COST SYSTEM IN ACTIVATING ENVIRONMENTAL COST MANAGEMENT AN APPLIED STUDY AT ASHOUR GENERAL CONSTRUCTIVE CONTRACT CO
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The problem of the study was to identify the possibility of benefiting from the application of the target cost system as a modern cost system to activate the environmental cost management instead of the traditional systems used in the company due to the great transformations witnessed by the business environment in all fields, which have resulted in the search for modern systems to provide more accurate and more appropriate information to reduce Costs, because accurate information makes the company have a complete vision to achieve the company’s goals. To solve this problem, the research was based on the following hypothesis (that the role of the target cost system leads to the activation of environmental cost management). Target c

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Publication Date
Wed Dec 01 2021
Journal Name
Baghdad Science Journal
QTAIM study of the bonding in triosmium trihydride cluster [Os3(µ-H)3(µ3-ɳ2-CC7H3(2-CH3)NS)(CO)8]
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    The Atoms in Molecules (AIM) analysis for triosmium cluster, which contains trihydridede, carbon, carbonyl and 2-methylbenzothiazolide ligands, [Os3(µ-H)33-ɳ2-CC7H3(2-CH3)NS)(CO)8] is reported. Bonding features in this cluster has been analyzed based on QTAIM ("Quantum Theory of Atoms in Molecules") in this work. The topological indices derived from electron density of relevant interactions in triosmium compound have been studied. The major interesting point of the AIM analyses is that the core of part (Os3H3) reveals the absence of any critical points and bond paths connecting any pairs of O

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Publication Date
Sun Feb 25 2024
Journal Name
Baghdad Science Journal
Early Diagnose Alzheimer's Disease by Convolution Neural Network-based Histogram Features Extracting and Canny Edge
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Alzheimer's disease (AD) increasingly affects the elderly and is a major killer of those 65 and over. Different deep-learning methods are used for automatic diagnosis, yet they have some limitations. Deep Learning is one of the modern methods that were used to detect and classify a medical image because of the ability of deep Learning to extract the features of images automatically. However, there are still limitations to using deep learning to accurately classify medical images because extracting the fine edges of medical images is sometimes considered difficult, and some distortion in the images. Therefore, this research aims to develop A Computer-Aided Brain Diagnosis (CABD) system that can tell if a brain scan exhibits indications of

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