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ANALYSIS OF BLOOD CULTURE RESULTS OF BURN SEPTICAEMIA PATIENTS OVER A PERIOD OF NINE YEARS IN THE BAGHDAD BURN MEDICAL CENTRE
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Burn is one of the most devastating traumas that someone can encounter in their life. Burn wound sepsis is still the leading cause of death in burned patients. Appropriate knowledge of the causative pathogen in burn sepsis is important for successful patient management and for the reduction of the incidence of antibiotic resistance. A retrospective study was conducted between 2010 and 2018 at the Burn Specialty Hospital in Baghdad.Atotal of 320 blood culture samples were obtained from patients with sepsis orsuspected of having sepsis. Patient age ranged between 9 months to 70 years old, with a mean total burn surface area of 45.26%. The most common microorganisms isolated from those patients who had sepsis or suspicion of sepsis were Klebsiella (48 cases) followed by Pseudomonas (36 cases), Staphylococcus species (26 cases), Enterococcus (8 cases), Acinetobacter (11 cases), E-Coli (11 cases), Candida (4 cases), Proteus (2 cases), and Salmonella, Streptococcus pneumonia, Monilia, and Seriata one case for each. The most commonly isolated organism was Klebsiella: it was sensitive to Imipenem followed by Amikacin, Nitrofurantoin, Piperacillin, Ciprofloxacin, Co-trimoxazole, Chloramphenicol, Tetracycline, Azithromycin and Cefotaxime. Microbio- logical surveillance of burn patients with sepsis or suspicion of having sepsis over a period of 9 years in our hospital has shown that the most common microorganism isolated from blood cultures was Klebsiella. Kleb- siella was sensitive to Imipenem mainly according to sensitivity testing using the disk diffusion method.

Scopus
Publication Date
Tue Jul 01 2025
Journal Name
Mastering The Minds Of Machines
Future Computational Power of AI Hardware: A Comparative Analysis of GPUs and TPUs
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Scopus Crossref
Publication Date
Mon Mar 13 2017
Journal Name
Journal Of Baghdad College Of Dentistry
Selected Salivary Biomarkers in Relation to Work-related Musculoskeletal disorders among a Group of Dentists in Baghdad City
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ABSTRACT Background: work-related musculoskeletal disorders represent an important occupational health issues among dentists especially neck and low back complaints. Biomarkers of tissue damage as results of occupational physical demands could be used for detection of work related musculoskeletal disorders. Aim: The aim of this study was to assess work- related musculoskeletal disorders, physical work load index, selected salivary biomarkers (Creatine kinase and C - reactive protein) and to find the relation among them. Subjects and Methods: Study participants are consisted of 112 dentists. They were selected from college of dentistry /Baghdad University, health care center in Bagdad city. They were of both gender and aged between 40-45 yea

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Crossref
Publication Date
Sun Mar 05 2017
Journal Name
Baghdad Science Journal
The Relation between Bacterial and Heavy Metal Water Pollution and Blood Micronuclei as Biomarkers in the Tigris River Fish
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The objective of this study is to evaluate the bacterial count and heavy metal concentration of river water on fish micronuclei. Fish and water samples are carried out in 1 May to 1 June 2013 from Tigris River. A total of fifty three fish sample are studied. The bacteriological quality of water showed that the total viable count is ranged from 150×103 to 352×103 cfu/ml and fecal coliform counts was 1250 cell/100ml during the study period. All the metals (Cu, Hg, Pb, and Zn) are within the normal limit, but Cd was slightly elevated in river water samples. The appearance of micronuclei in red blood cells of all fish species is detect , by recording a larger number of it, in ( Abu Alsomere , Hishne , Bannini Kaber al fam & Karkoor

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Scopus (8)
Crossref (2)
Scopus Crossref
Publication Date
Tue Dec 01 2015
Journal Name
Journal Of Engineering
Ten Years of OpenStreetMap Project: Have We Addressed Data Quality Appropriately? – Review Paper
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It has increasingly been recognised that the future developments in geospatial data handling will centre on geospatial data on the web: Volunteered Geographic Information (VGI). The evaluation of VGI data quality, including positional and shape similarity, has become a recurrent subject in the scientific literature in the last ten years. The OpenStreetMap (OSM) project is the most popular one of the leading platforms of VGI datasets. It is an online geospatial database to produce and supply free editable geospatial datasets for a worldwide. The goal of this paper is to present a comprehensive overview of the quality assurance of OSM data. In addition, the credibility of open source geospatial data is discussed, highlight

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Publication Date
Tue Dec 01 2015
Journal Name
Journal Of Engineering
Ten Years of OpenStreetMap Project: Have We Addressed Data Quality Appropriately? – Review Paper
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It has increasingly been recognised that the future developments in geospatial data handling will centre on geospatial data on the web: Volunteered Geographic Information (VGI). The evaluation of VGI data quality, including positional and shape similarity, has become a recurrent subject in the scientific literature in the last ten years. The OpenStreetMap (OSM) project is the most popular one of the leading platforms of VGI datasets. It is an online geospatial database to produce and supply free editable geospatial datasets for a worldwide. The goal of this paper is to present a comprehensive overview of the quality assurance of OSM data. In addition, the credibility of open source geospatial data is discussed, highlighting the diff

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Crossref (3)
Crossref
Publication Date
Wed May 12 2021
Journal Name
Annals Of The Romanian Society For Cell Biology
Awareness about Sun Protection among Medical Students
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Background:Sun protection is one of the most important steps of skin care as it is necessary to protect the skin from ultraviolet rays that is known to cause number of harmful effects on the skin in long and frequent exposure. Objective:To assess the awareness of the medical students regarding sun exposure and its harm,study their sun protection attitudes,practices, their use of sunscreens, and to know if they can share information to other people to encourage such important protective methods and behaviours which are not well established in our community.Patients and method:This cross-sectional descriptive study included 300 students both females and males of fourth and fifth grade of College of Medicine in university of Baghdad.Results:M

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Publication Date
Mon Dec 10 2018
Journal Name
Aro-the Scientific Journal Of Koya University
Membrane Computing for Real Medical Image Segmentation
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In this paper, membrane-based computing image segmentation, both region-based and edge-based, is proposed for medical images that involve two types of neighborhood relations between pixels. These neighborhood relations—namely, 4-adjacency and 8-adjacency of a membrane computing approach—construct a family of tissue-like P systems for segmenting actual 2D medical images in a constant number of steps; the two types of adjacency were compared using different hardware platforms. The process involves the generation of membrane-based segmentation rules for 2D medical images. The rules are written in the P-Lingua format and appended to the input image for visualization. The findings show that the neighborhood relations between pixels o

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Crossref (2)
Crossref
Publication Date
Tue Dec 26 2017
Journal Name
Al-khwarizmi Engineering Journal
Fuzzy Wavenet (FWN) classifier for medical images
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    The combination of wavelet theory and neural networks has lead to the development of wavelet networks. Wavelet networks are feed-forward neural networks using wavelets as activation function. Wavelets networks have been used in classification and identification problems with some success.

  In this work we proposed a fuzzy wavenet network (FWN), which learns by common back-propagation algorithm to classify medical images. The library of medical image has been analyzed, first. Second, Two experimental tables’ rules provide an excellent opportunity to test the ability of fuzzy wavenet network due to the high level of information variability often experienced with this type of images.

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Publication Date
Tue Jun 30 2015
Journal Name
International Journal Of Computer Techniques
Multifractal-Based Features for Medical Images Classification
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This paper presents a method to classify colored textural images of skin tissues. Since medical images havehighly heterogeneity, the development of reliable skin-cancer detection process is difficult, and a mono fractaldimension is not sufficient to classify images of this nature. A multifractal-based feature vectors are suggested hereas an alternative and more effective tool. At the same time multiple color channels are used to get more descriptivefeatures.Two multifractal based set of features are suggested here. The first set measures the local roughness property, whilethe second set measure the local contrast property.A combination of all the extracted features from the three colormodels gives a highest classification accuracy with 99.4

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Publication Date
Mon Jan 02 2017
Journal Name
Journal Of Educational And Psychological Researches
Difficulties in the application of modern trends in physics in middle schools of the province of Baghdad, from the perspective of teachers of physics
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     The goal of current research is to identify the difficulties in the application of modern physics in the middle schools of the province of Baghdad schools from the perspective of teachers of physics trends, sample search of (127) teachers, Karkh Third Directorate, and use Researcher questionnaire data collection tool after applying it to teachers who have experience (5) years and more after confirmation of the validity and reliability of the scale (the tool) researcher has used the averages for the purpose of interpreting the results. the results showed that the difficulties have been in the order following: (difficulties related educational environment of modern trends of teaching, curriculum-related dif

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