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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
Fri Jan 01 2021
Journal Name
Aip Conference Proceedings
Preparation and characterization of mawsonite Cu6Fe2SnS8 [CFTS] thin films via the semi-computerized spray pyrolysis technique for photovoltaic applications
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Publication Date
Tue Nov 01 2022
Journal Name
Journal Of Engineering
Finite Element Modeling of One-Way Recycled Aggregate Concrete Slabs Strengthened using Near-Surface Mounted CFRPs under Repeated Loading
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This study offers numerical simulation results using the ABAQUS/CAE version 2019 finite element computer application to examine the performance, and residual strength of eight recycle aggregate RC one-way slabs. Six strengthened by NSM CFRP plates were presented to study the impact of several parameters on their structural behavior. The experimental results of four selected slabs under monotonic load, plus one slab under repeated load, were validated numerically. Then the numerical analysis was extended to different parameters investigation, such as the impact of added CFRP length on ultimate load capacity and load-deflection response and the impact of concrete compressive strength value on the structural performance of

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Publication Date
Sun Jun 11 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Synthesis and Characterization Palladium(II) Complexes of benz-1,3-imidazoline-2-thione, benz-1,3-thiazoline-2thione and Diamine Ligands
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  Reaction of Na2PdCl4 with benz-1,3-imidazole-2-thione or (bzimtH) benz-1,3-thiazoline2-thione (bztztH) in ethanol / NE3 afford complexes of the type [Pd(bzimt)2](1) and [Pd(bztzt)2](2) respectively. Treatment of [Pd(L)2] L= bzimt or bztzt with bidentate ligands (N^N) where N^N= bipyridine (Bipy) , phenanthroline (Phen) , ethylene diamine , or N,N′dimethylethylene diamine afford mononuclear complexes of the type [PdL2(N^N)]. The bzimt and bztzt ligands are coordinated as bidentate chelating ligands through the S and N in (1) and (2) whereas bonded as a monodentate fashion via the sulfur atom in other complexes. The prepared complexes were characterized by elemental CHN analysis, ir and 1H nmr spectra.
 

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Publication Date
Sun Apr 30 2023
Journal Name
Al-kindy College Medical Journal
The Scientific Contribution of the Al-Kindy College Medical Journal to the World Literature on the COVID-19 Pandemic
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The beginning of COVID-19 in Wuhan, China in late December 2019 and its worldwide transmission has led the World Health Organization to formally address the pandemic. The pandemic has imposed influential impacts on different environmental, economic, social, health, and living aspects. Publishing in scholastic journals was not immune from these impacts.

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Publication Date
Sun Jan 01 2023
Journal Name
Materials Today: Proceedings
Preparation, characterization and preliminary cytotoxic evaluation of 6-mercaptopurine-coated biotinylated carbon dots nanoparticles as a drug delivery system
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Publication Date
Tue Dec 07 2021
Design and numerical verification of a polarization-independent grating coupler using a double-layer approach for visible wavelengths applications
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Publication Date
Sat Mar 31 2018
Journal Name
Journal Of Engineering
Effect of Using Extra Fins on the Pin Fin Classic Geometry for Enhancement Heat Sink Performance using EGM Method
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In the present study, the effect of new cross-section fin geometries on overall thermal/fluid performance had been investigated. The cross-section included the base original geometry of (triangular, square, circular, and elliptical pin fins) by adding exterior extra fins along the sides of the origin fins. The present extra fins include rectangular extra fin of 2 mm (height) and 4 mm (width) and triangular extra fin of 2 mm (base) 4 mm (height). The use of entropy generation minimization method (EGM) allows the combined effect of thermal resistance and pressure drop to be assessed through the simultaneous interaction with the heat sink. A general dimensionless expression for the entropy generation rate is obtained by con

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Publication Date
Sat Nov 19 2022
Journal Name
Journal Of Solid State Electrochemistry
Thermal, electrical and electrochemical properties of ionic liquid-doped poly(ethylene oxide)–LiTDI polymer electrolytes for Li-ion batteries
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Publication Date
Thu Jul 07 2011
Journal Name
Arabian Journal Of Geosciences
Mineralogy, geochemistry, and reserve estimation of the Euphrates limestone for Portland cement industry at Al-Najaf area, South Iraq
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Publication Date
Sat Apr 30 2022
Journal Name
Revue D'intelligence Artificielle
Performance Evaluation of SDN DDoS Attack Detection and Mitigation Based Random Forest and K-Nearest Neighbors Machine Learning Algorithms
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Software-defined networks (SDN) have a centralized control architecture that makes them a tempting target for cyber attackers. One of the major threats is distributed denial of service (DDoS) attacks. It aims to exhaust network resources to make its services unavailable to legitimate users. DDoS attack detection based on machine learning algorithms is considered one of the most used techniques in SDN security. In this paper, four machine learning techniques (Random Forest, K-nearest neighbors, Naive Bayes, and Logistic Regression) have been tested to detect DDoS attacks. Also, a mitigation technique has been used to eliminate the attack effect on SDN. RF and KNN were selected because of their high accuracy results. Three types of ne

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