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
A numerical study of the two-dimensional steady free convection flow in an inclined annulus between two concentric square cavities filled with a porous medium is presented in this paper for the case when the side outer walls are kept with differentially heated temperature while the horizontal outer walls and the inner walls are insulated. The heated wall is assumed to have spatial sinusoidal temperature variation about a constant mean value. The Darcy model is used and the fluid is assumed to be a standard Boussinesq fluid. For the Cartesian coordinate system, the governing equations which were used in stream function form are discretized by using the finite difference method with successive under – relaxation method (SUR) and are solv
... Show MoreProblem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a
... Show MoreThis research includes description of the x-ray diffraction, morphology and sensing measurements of SnO2 doped In2O3 thin films synthesized by pulsed laser deposition method on glass and silicon wafer substrates. In2O3:SnO2 powders were obtained by mixing In2O3 with SnO2 in the desired ratio, and calcination the at temperature 1273 K for 5 hours. SnO2 doped In2O3 thin films with different ratios (0, 0.01, 0.03, 0.05, 0.07, and 0.09% wt.) were prepared using pulsed laser deposition method. The structural investigation using X-ray diffraction revealed that the mai
Background: Breast cancer has become one of the most predominant health risks among women and its mass death rate has continued to escalate world over. New data indicate that breast cancer may be modification by lifestyle factors, especially diet. Lactobacillus and Lactococcus type of probiotics have been identified to cure or promote health by regulation of the immune mechanism. Such bacteria are frequently found in healthy breast tissue and they could possibly help prevent breast cancer. Combining with a well established probiotic, Bifidobacterium longum, Lactobacillus acidophilus has proved to have immunomodulatory and anti-inflammatory effects, therefore, it should be a prospective probiotic strain to maintain breast health. Aim
... Show MoreThe M(II) complexes [M2 (phen)2 (L)(H2O)2Cl2 ] in (2:1:2 (M:L:phen) molar ratio, (where M(II) =Mn(II), Co(II), Cu(II), Ni(II) and Hg(II), phen = 1,10-phenanthroline; L = 2,2'-(1Z,1'Z)-(biphenyl-4,4'-diylbis(azan-1-yl-1-ylidene))bis(methan-1-yl-1- ylidene)diphenol] were synthesized. The mixed complexes have been prepared and characterized using 1H and13C NMR, UV/Visible, FTIR spectra methods and elemental microanalysis, as well as magnetic susceptibility and conductivity measurements. The metal complexes were tested in vitro against three types of pathogenic bacteria microorganisms: Staphylococcus aurous, Escherichia coli, Bacillussubtilis and Pseudomonasaeroginosa to assess their antimicrobial properties. From this study shows that all the
... Show MoreThe reaction of 2-amino benzoic acid with 1,2-dichloroethane under reflux in methanol and KOH as a base to gave the precursor [H4L]. The precursor under reflux and drops of CH3COOH which reacted with (2mole) from salicycaldehyde in methanol to gave a new type N2O4 ligand [H2L], this ligand was reacted with (MCl2) Where [M= Co (II), Ni(II), Cu(II) and Zn(II)] in (1:1) ratio at reflux in methanol using KOH as a base, to give complexes of the general formula [M(L)]. All compounds have been characterized by spectroscopic methods [1H NMR ( just to the ligand), FTIR, uv-vis, atomic absorption], melting point, conductivity, chloride content, as well as m
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