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The Prevalence of Integron Classes Genes Among A. Baumannii Isolates

     Acinetobacter baumannii has been recently classified as a major threat to public health because it has resistant to almost all antibiotics and there are many reasons that are responsible for conferring this feature to A. baumannii. One of these reasons is integrons so in this study we show the role of the integrons in providing resistance to some antibiotics. A number of 60 isolates were collected from different clinical sources of patients who were admitted to Baghdad hospitals and all isolates were diagnosed using biochemical tests and confirmed using  Chrom-ager culture media, and Vitek 2 compact system. The antibiotic susceptibility test was determined during this study using Kirby-Bauer method and the results of susceptibility demonstrate that these bacteria are responsible for providing resistance to Amikacin, Trimethoprim, Piperacillin, Cefepime, Tetracycline, Ampicillin-sulbactam, Imipenem, and levofloxacin. All isolates show high resistance to trimethoprim and low resistance to tetracycline. The presence of integrons in A. baumannii was detected using conventional polymerase chain reactions. The results showed integron class I was found in all 60 isolates with a percentage (100%) while integron class II was found only in 7 isolates with a percentage  (11.6%) and the results of detection showed integron class III are not found in the examined isolates. This study conclude that all  A. baumnnii isolates had the strongest resistance to various antibiotics, and the class 1 integron appeared to be the most dominant class among class II and III .

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Publication Date
Wed Sep 15 2021
Journal Name
Journal Of Baghdad College Of Dentistry
Prevalence of viral co-infection among COVID-19 cases in association disease severity and oral hygiene

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 (5

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Publication Date
Sun Jan 03 2010
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Prevalence of hepatitis B and hepatitis C among blood donors in Baghdad, August 2007-December 2008.

Background: Hepatitis is a disease of the liver caused by the infectious and non-infectious agents.
Patients &methods: A total of 600 blood donors attending blood bank at Baghdad city were included in this study , they were screened by Enzyme Immune sorbent Assay for detection of HBs Ag and anti-HCV ,that confirmed by recombinant immunoblot assay .the possible influence of the various factors on the prevalence was analyze too.
Results: Form the total donors there were 37(6.2%)and 6(1.7%)positive for HBV &HCV respectively .peak prevalence for HBs Ag was noticed in age groups (20-29)years .
Conclusion: Screening blood donors for both HBV and HCV is indispensable for safe blood transfusion. . In gen

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Publication Date
Tue Nov 19 2024
Journal Name
Journal Of Baghdad College Of Dentistry
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Publication Date
Tue Jul 01 2008
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Prevalence and Risk Factors for Eye Problems among 20-65 Years Old Iraqi Diabetics Patients

Background: Diabetes is a chronic illness that requires continuing medical care to prevent acute complications and to reduce the risk of long-term complication. Eye
diseases are the most feared complication of diabetes. The main disorders include diabetic retinopathy, cataracts and glaucoma. Early detection of these conditions is
important to avoid risk of vision affection or even blindness.
Objectives: This study aimed to assess the prevalence and risk factors for eye problems among 20-65 years old diabetics' patients.
Methods: We studied 2540 diabetic patients selected from the Specialized Center for Endocrinology & Diabetes and the National Center for Treatment & Research of
Diabetes in Al-Mu

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Publication Date
Fri Jun 24 2022
Journal Name
Iraqi Journal Of Science
Risk Factors for Varicella Prevalence Among Primary School Children in Al-Dora City (Southern Baghdad)

Chickenpox is a viral disease caused by a virus called varicella zoster (VZ). Chickenpox cases were counted in Al-Dora city (southern Baghdad). Data of disease was obtained from the records of Bilat Al-Shuhadaa health center at the period from January to July 2012. Diagnosis of cases was achieved by the physicians of the health center. Studied risk factors were including the gender, address, school and age. Total of cases recorded was 73cases (66.9 per 100,000) populations for seven months. Males reported cases were 48 (65.7%) while female’s cases were 25(34.3%). The highest reported cases were signed in Al-Mhdia-1 sector (24.6%).Also highest reported cases were signed in Al-Mhdia primary school (17.8%). Most VZ cases were reported in

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Publication Date
Sun Apr 01 2012
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Social phobia among Al Qadissya medical student: prevalence, Academic performance and response to different treatments

Background: Social phobia (SP) is an inappropriate anxiety; experienced in social situations in which the person feels observed by others and could be criticized by them so he/she attempts to avoid such situations.
Objectives: This study aims to identify the prevalence of (SP) among the medical students, as well as the socio- demographic characters will be investigated.The effect of (SP) on the students that is; their academic performance and the response to different type of treatments.
Methods: Three hundred eighty students of both genders were selected randomly from Al-Qadissia Medical College in Al- Diwania city. These students were interviewed using the International Diagnostic Checklist of ICD.10

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Publication Date
Thu Feb 01 2024
Journal Name
Microbial Pathogenesis
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Publication Date
Sun Jun 05 2016
Journal Name
Baghdad Science Journal
Prevalence of Tonsillitis caused by Streptococcus spp. Among children and the effect of some Lactic acid bacterial (LAB) strain on it

In this study 100 samples were collected from infected children with acute and chronic tonsillitis who attended to Al-Yarmook Teaching Hospital (ENT consultation clinic) from 5/12/2013 to 1/3/2014. The result of laboratory culture was positive in 67 samples. Depending on their cultural, morphological and biochemical characterization of bacterial isolate of them were identified as (37.31%) belonged to Streptococcus pyogenes and the diagnosis is confirmed by the use of Remel Rapid STR System, (34.32%) belonged to S.parasanguinis, (11.94%) S.mitis, (11.94%) S.oralis and (4.47%) S.thoraltensis . Results confirmed that cup assay gave highest inhibition zone after 24 hrs compare with well diffusion methods for suspension of L.

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Publication Date
Mon Jun 01 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
Common Fixed Point problem for Classes of Nonlinear Maps in Hilbert Space
Abstract<p>in this article, we present a definition of k-generalized map independent of non-expansive map and give infinite families of non-expansive and k-generalized maps new iterative algorithms. Such algorithms are also studied in the Hilbert spaces as the potential to exist for asymptotic common fixed point.</p>
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Publication Date
Tue Sep 29 2020
Journal Name
Iraqi Journal Of Science
An Automated Classification of Mammals and Reptiles Animal Classes Using Deep Learning

Detection and classification of animals is a major challenge that is facing the researchers. There are five classes of vertebrate animals, namely the Mammals, Amphibians, Reptiles, Birds, and Fish, and each type includes many thousands of different animals. In this paper, we propose a new model based on the training of deep convolutional neural networks (CNN) to detect and classify two classes of vertebrate animals (Mammals and Reptiles). Deep CNNs are the state of the art in image recognition and are known for their high learning capacity, accuracy, and robustness to typical object recognition challenges. The dataset of this system contains 6000 images, including 4800 images for training. The proposed algorithm was tested by using 1200

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