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Molecular study of some virulence genes of Pseudomonas aeruginosa isolated from different infections in hospitals of Baghdad
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One hundred isolates of Pseudomonas aeruginosa were obtained from patients admitted to Baghdad hospitals, Iraq during the period between May 2018 until July 2018. These isolates were distributed as 15 isolates from blood, 25 isolates from urinary tract infections, 10 isolates from sputum, 12 isolates from wounds, 15 isolates from ear infections, 15 isolates from bronchial wash of patients suffering from respiratory tract infections in addition to 8 isolates from cystic fibrosis patients. The isolates were initially identified by culturing on MacConkey agar, blood agar and P. aeruginosa agar then diagnosed by performing some morphological and biochemical tests. The second diagnosis was done by API 20E system followed by Vitek 2 compact system. Antibiotic sensitivity test was carried out towards 15 antibiotics using disc diffusion method (Kirby–Bauer method). The results of sensitivity test showed that P. aeruginosa isolates possessed high resistance towards most antibiotics under study, the most antibiotic resistance was towards Gentamicin 87 (87%), whereas the lowest resistance was towards Imipenem 10 (10%). In this study, two types of methods were used in the detection of biofilm formation: the first one was Congo red agar method and the second one was microtiter plate method. In the first method, results showed that biofilm formed by 57/100 (57%) according to black color production on media, whereas in the second method was 69/100 (69%) produce strong adherence according to OD in ELISA reader. Genotypic detection of many virulence factors related to P. aeruginosa was performed using conventional PCR. These included: gene coded for exoenzyme S (exoS), exoenzyme U (exoU), exotoxin A (toxA), two phospholipases C encoded by (plcH) and (plcN), alginate (algD), (lasB), rpsl, proteaseIV, and Neuraminidase (nan1). The results revealed that the most frequent gene was exoS as it was detected in 87/100 (87%) isolates, whereas the least frequent gene was nan1 as it was detected in only 9/100 (9%). The frequency of detection of other genes were as follows: toxAi in 55/100 (55%); plcH in 45/100 (45%); exoU in 42/100 (42%); plcN in 33/100 (33%); proteaseIV in 31/100 (31%), algD in 29/100 (29%); lasB in 28/100 (28%), and rpsl in 25/100 (25%). Phylogenetic analysis by Enterobacterial Repetitive Intergenic Consensus (ERIC-PCR), ERIC-DNA Fingerprinting revealed the diversity of all isolates in Baghdad by using Dice coefficient and the unweighted pair group method with arthmetic average (group method) of phylogenetic analysis. The percentage level of similarity clearly showed that the isolates examined by species were divided into two distinct cluster numbers, in addition to three single isolates (clone), that clustered at a similarity level of (93%). According to the statistical analysis, it was found that the correlation coefficient of ERIC genotyping method with virulence genes in this study and antibiotics sensitivity test was significant at P < 0.05 (two-tailed), whereas correlation with biofilm was not significant

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Publication Date
Wed Aug 30 2023
Journal Name
Baghdad Science Journal
A relationship study of coronavirus (COVID-19) infection, blood groups, and some related factors in Iraqi patients
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Many studies of the relationship between COVID-19 and different factors have been conducted since the beginning of the corona pandemic. The relationship between COVID-19 and different biomarkers including ABO blood groups, D-dimer, Ferritin and CRP, was examined. Six hundred (600) patients, were included in this trial among them, 324 (56%) females and the rest 276 (46%) were males. The frequencies of blood types A, B, AB, and O were 25.33, 38.00, 31.33, and 5.33%, respectively, in the case group. Association analysis between the ABO blood group and D-dimer, Ferritin and CRP of COVID-19 patients indicated that there was a statistically significant difference for Ferritin (P≤0.01), but no-significant differences for both D-dimer and CRP.

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Publication Date
Thu Oct 09 2025
Journal Name
Journal Of Physical Education
A study of some variables biomechanics in clean and jerk for the world champions men and women
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Publication Date
Mon Jan 01 2018
Journal Name
Engineering And Technology Journal
Kinetic Study and Determination of Some Insecticides in Soil Samples by Ultrasonic Extraction Followed by Gradient HPLC
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Ultrasonic Extraction method followed by gradient HPLC was carried out for the simultaneous determination of four insecticides are [imidacloprid (Imi), thiamethoxam (Thi), indoxacarb (Ind) and abamectin (Aba)] used to combat the major insect pests in Iraq, whitefly, Dubas Bug, worms fruits as well as to combat the spiders – dream respectively in eco-soil samples. The extraction recovery was in the range of 99.77 to 109.1 %. The dissipation kinetics and residual levels of these insecticides in soil sample was studied under field ecosystem. The half-life of the mix insecticides was determined. The half-life was in range of 0.38 to 4.06 days with the soil samples were brought from the Agricultural Land called Nahrawan located in th

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Publication Date
Wed Jul 01 2020
Journal Name
Plant Archives
a study about some biological aspects of invasive molly fish “poecilia latipinna” (lesueur, 1821) in southern iraq
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Publication Date
Sun Jun 04 2017
Journal Name
Baghdad Science Journal
A comparative study to determine the native eye lens protein in the some types of Iraqi vertebrates
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This study showed that the lens in baloot muluki fish Chondrostoma regium is transparent, spherical shape, and solid in textures, while in the tree frog Hyla arborea savignyi, freshwater turtles Clemmys caspia caspia, white–eared bulbul Pycnonotus leucotis and brown rat Rattus norvegicus are transparent, soft and biconvex, it is very soft in white–eared bulbul. There are many significant differences have been recorded between the average weight lens and the total concentration of the protein in the lens all studied animals. Electrical migration process for lens proteins showed that there is one bundle of crystalline –? and one bundle also crystalline–? in all studied species, either crystalline–? may represent one bundle character

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Publication Date
Sun Sep 01 2013
Journal Name
Journal Of Economics And Administrative Sciences
Use some probability amputated models to study the characteristics of health payments in the Iraqi Insurance Company
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Abstract

Due to the lack of previous statistical study of the behavior of payments, specifically health insurance, which represents the largest proportion of payments in the general insurance companies in Iraq, this study was selected and applied in the Iraqi insurance company.

In order to find the convenient model representing the health insurance payments, we initially detected two probability models by using (Easy Fit) software:

First, a single Lognormal for the whole sample and the other is a Compound Weibull  for the two Sub samples (small payments and large payments), and we focused on the compoun

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Publication Date
Fri Dec 01 2017
Journal Name
Bulletin Of The Iraq Natural History Museum (p-issn: 1017-8678 , E-issn: 2311-9799)
RESEARCH NOTES ON RECORDING SOME RARE VERTEBRATES FROM KURDISTAN, IRAQ
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    A mounted specimen of a mustelid animal deposited in the Kurdistan Museum of Natural History, Salahaddin University, Erbil proved to be Mustela erminea (Linnaeus, 1758) and represents a new record for the mammalian fauna of Iraq. Its measurements and some biological noted are provided. Also, two passerine birds; the Red-headed bunting, Emberiza bruniceps Brandt, 1841(Family, Emberizidae) and the Variable wheatear, Oenanthe picata (Blyth, 1847) (Family, Muscicapidae) were recorded for the first time in Iraq. Furthermore, the tree frog Hyla savignyi Audouin, 1829 was found in two locations north east of Iraq with spotted dorsum and having interesting behavior in having the capabil

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Publication Date
Sat Oct 01 2022
Journal Name
Baghdad Science Journal
Using some Natural Minerals to Remove Cadmium from Polluted Water
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Water scarcity is one of the most important problems facing humanity in various fields such as economics, industry, agriculture, and tourism. This may push people to use low-quality water like industrial-wastewater. The application of some chemical compounds to get rid of heavy metals such as cadmium is an environmentally harmful approach. It is well-known that heavy metals as cadmium may induce harmful problems when present in water and invade to soil, plants and food chain of a human being. In this case, man will be forced to use the low quality water in irrigation. Application of natural materials instead of chemicals to remove cadmium from polluted water is an environmental friendly approach. Attention was drawn in this research wor

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Publication Date
Wed Sep 01 2010
Journal Name
Al-khwarizmi Engineering Journal
Corrosion Behavior of Ti-6Al-4V Alloy in Different Media
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     In this work the corrosion behavior of Ti-6Al-4V alloy was studied by using galvanostatic measurements at room temperature in different media which includ sodium chloride (food salt), sodium tartrate (presence in jellies, margarine, and sausage casings,etc.), sodium oxalate (presence in fruits, vegetables,etc.), acetic acid (presence in vinegar), phosphoric acid (presence in drink), sodium carbonate (presence in 7up drink,etc.), and sodium hydroxide in order to compare.

     Corrosion parameters were interpreted in th

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Publication Date
Fri Mar 01 2024
Journal Name
Iaes International Journal Of Artificial Intelligence (ij-ai)
Analyzing the behavior of different classification algorithms in diabetes prediction
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<span lang="EN-US">Diabetes is one of the deadliest diseases in the world that can lead to stroke, blindness, organ failure, and amputation of lower limbs. Researches state that diabetes can be controlled if it is detected at an early stage. Scientists are becoming more interested in classification algorithms in diagnosing diseases. In this study, we have analyzed the performance of five classification algorithms namely naïve Bayes, support vector machine, multi layer perceptron artificial neural network, decision tree, and random forest using diabetes dataset that contains the information of 2000 female patients. Various metrics were applied in evaluating the performance of the classifiers such as precision, area under the c

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