The virulent genes are the key players in the ability of the bacterium to cause disease. The products of such genes that facilitate the successful colonization and survival of the bacterium in or cause damage to the host are pathogenicity determinants. This study aimed to investigate the prevalence of virulence factors (esp, agg, gelE, CylA) in E. faecalis isolated from diverse human clinical collected in Iraqi patient , as well as to assess their ability to form biofilm and to determine their haemolytic and gelatinase activities. Thirty-two isolates of bacteria Enterococcus faecalis were obtained, including 15 isolates (46.87%) of the urine, 6 isolates (18.75%) for each of the stool and uterine secretions, and 5 isolates (15.62%) of the wounds from various hospitals in Baghdad, including (Central Children's Hospital, Educational Laboratories, Ibn Al-Baladi Hospital).The isolates were confirmed to belong to the genus E.faecalis after performing morphological and biochemical microscopic examinations and for final diagnosis using the VITEC 2 system. The virulence genes viz. cylA, esp, gelE and agg were recognized in the E. faecalis, and the consequences appeared that the bacteria had eps gene in 32 isolates (100%). As for the agg gene, 32 isolates (100%) were carriers of this gene, which was responsible for these isolates' aptitude to form the biofilm. While for the gelE gene, 27 isolates (84.37%) of the isolates carried this gene, responsible for gelatinase activity whereas, the gene responsible for hemolysis cyl, there were 29 isolates (90.62%) of the total isolates. The presemce of genes in the isolates would be helpful to determine the colonization and survival of the bacterium in or causing damage to the host.
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A simple, accurate and sensitive spectrophotometric method for the determinaion of epinephrine is described . The method is based on the coordination of Pr (III) with epinephrine at pH 6. Absorbance of the resulting orange yellow complex is measured at 482 nm . A graph of absorbance versus concentrations shows that beer 's low is obeyed over the concentration range (1-50)mg.ml-1 of epinephrine with molar absorpitivity of ( 2.180x103 L.mol-1.cm-1 ), a sandell sensitivity of (0.084 mg.cm-2 ), a relative error of (-2.83%) , a corrolation coffecient (r= 0.9989) and recovery % ( 97.03 ± 0.75 ) depending on the concentration.This method is applied to analyse EP in several commercially available pharmaceutical preparations
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Seven isolates were identified as Pseduomonas aeruginosa from clinical samples. Antibiotic sensitivity test were done to determine their sensitivity to number of antibiotics, the results illustrated all that isolates were resistant to most used antibiotics. The ability of Pseduomonas isolates to produce haemolysin, protease and pyocyanin were detected in this study, all isolates had the ability to produce pyocyanin pigment, hemolysis and protease. The antimicrobial activity of the ethanolic extracts of Thuja orientalis and green tea against P.aeruginosa were investigated. The results showed that both these plant extracts have inhibitory effect against Pseduomonas isolates and it was shown that ethanolic extract of green tea was more efficie
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The correlation between dyslipidemia and the severity of coronavirus disease 2019 has been widely categorized. Dyslipidemia is one of the most dominant disorders among these patients. Systemic inflammation accompanied by cytokine storm hemostasis modifications and severe vasculitis have all been reported to occur among COVID-19 patients, and these may contribute to some severe complications.
The aim of this study is to assess the possible relationship between dyslipidemia and the severity of coronavirus disease 2019.
This work encompassed 200
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This study carried out in animal field in the Department of animal production /Faculty of Agriculture /University of Baghdad, Al Gadria Campus. 80 Japanese quail divided into four parameters used in this study. These quails are treated with boron (B) in the diets (boric acid 16% B) with concentration 0, 50, 75, 100 mg /kg. diets for 120 hours. the following characteristics are examined: changes in the rate of body weight (BL), concentrate of hemoglobin (Hb), hematocrit (PCV%), and the ratio of heterophile to Lymphocyte (H/L ratio). The results indicated that the high levels of B led to a Significant decrease in BL and significantly increased in hematocrit PCV% with significant decrease in Hb, and increasing in the H/L ratio. The anatomy of
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This study aims at shedding light on the linguistic significance of collocation networks in the academic writing context. Following Firth’s principle “You shall know a word by the company it keeps.” The study intends to examine three selected nodes (i.e. research, study, and paper) shared collocations in an academic context. This is achieved by using the corpus linguistic tool; GraphColl in #LancsBox software version 5 which was announced in June 2020 in analyzing selected nodes. The study focuses on academic writing of two corpora which were designed and collected especially to serve the purpose of the study. The corpora consist of a collection of abstracts extracted from two different academic journals that publish for writ
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Cutting forces are important factors for determining machine serviceability and product quality. Factors such as speed feed, depth of cut and tool noise radius affect on surface roughness and cutting forces in turning operation. The artificial neural network model was used to predict cutting forces with related to inputs including cutting speed (m/min), feed rate (mm/rev), depth of cut (mm) and work piece hardness (Map). The outputs of the ANN model are the machined cutting force parameters, the neural network showed that all (outputs) of all components of the processing force cutting force FT (N), feed force FA (N) and radial force FR (N) perfect accordance with the experimental data. Twenty-five samp
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The integration of AI technologies is revolutionizing various aspects of the apparel and textile industry, from design and manufacturing to customer experience and sustainability. Through the use of artificial intelligence algorithms, workers in the apparel and textile industry can take advantage of a wealth of opportunities for innovation, efficiency and creativity.
The research aims to display the enormous potential of artificial intelligence in the clothing and textile industry through published articles related to the title of the research using the Google Scholar search engine. The research contributes to the development of the cultural thought of researchers, designers, merchants and the consumer with the importance of integ
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