The severity of UTI produced by E. coli is due to the expression of a wide
spectrum of virulence factors. In this study the role of E. coli virulence determinants
in the pathogenesis of UTI in urinary catheterized and non-catheterized patients has
been evaluated. The isolates were recovered from 129 patients admitted to the
hospital. Virulence genes of E. coli were detected by polymerase chain reaction
analysis for the prevalence of these virulence factors. The targeted genetic
determinants were those coding for Type 1 fimbriae, Pyelonephritis-Associated Pili
(PAP), Antigen 43 (Ag43), α-Hemolysin and Aerobactin siderophores among the
studied isolates. The prevalence of genes fimH, papC, ang43, hlyA and iutA were
88.37%, 72.09%, 18.60%, 51.16% and 79.06% respectively. The fimH gene with
88.37% had a highest prevalence of virulence genes in patients with UTIs.
Statistically in the present study, there was no significant difference in the
prevalence of genes profiles of E. coli isolates causing UTI in non-catheterized and
catheterized patients. However, all the studied strains exhibited 16 virulence gene
patterns; among the strains isolated from patients with urinary catheter showed
multitude and greatest diversity of genes patterns than strains from non-catheterized
patients.
In this work, the study of
Infrastructure, especially wastewater projects, plays an important role in the life of residential communities. Due to the increasing population growth, there is also a significant increase in residential and commercial facilities. This research aims to develop two models for predicting the cost and time of wastewater projects according to independent variables affecting them. These variables have been determined through a questionnaire distributed to 20 projects under construction in Al-Kut City/ Wasit Governorate/Iraq. The researcher used artificial neural network technology to develop the models. The results showed that the coefficient of correlation R between actual and predicted values were 99.4% and 99 %, MAPE was
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Background: Infections are common in the children attending daycare centers how act as predisposes to it. Hygienic interventions have a fundamental role in infection control and disease prevention in child care settings.
Objective: - To evaluate the knowledge, attitude, and practice of nurseries workers in infection prevention and control among the children.
Subjects and Methods: A cross-sectional study using the researcher-developed questionnaire validated by two experts and piloted and 100 nurseries-workers had participated in it.
Result: the mean age of participants was 37.5 years±12.1, (37%) aged 18-30 yrs, 58% married, and 57% with higher education, 54% of n
... Show Morewere prepared by condensation of 6-R-2amino bcnzothiazol with Salicyldehyde.These Schiff bases were found to reach with maleic anhydride and citraconic to give
Our scientists Arabs old efforts in achieving texts that led to the foundations of general
rules they have set for this work in accordance with the systematic context is based on the
study, analysis and precision in dealing with this work, which became the basis for each
investigator to the present day, which was to them careful consideration manuscripts and
work to be closer to the image by its author, so produced their efforts in this area several
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gave her treatments and suggestions each and every one of the point made by and gave her
what produced the expertise in this direction in accordance with the formulations
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A demonstration of the inverse kinematics is a very complex problem for redundant robot manipulator. This paper presents the solution of inverse kinematics for one of redundant robots manipulator (three link robot) by combing of two intelligent algorithms GA (Genetic Algorithm) and NN (Neural Network). The inputs are position and orientation of three link robot. These inputs are entering to Back Propagation Neural Network (BPNN). The weights of BPNN are optimized using continuous GA. The (Mean Square Error) MSE is also computed between the estimated and desired outputs of joint angles. In this paper, the fitness function in GA is proposed. The sinwave and circular for three link robot end effecter and desired trajectories are simulated b
... Show MoreIn this work, the electrical properties and optimum conditions of the plasma sputtering system have been studied. The electrical properties such as Paschen's curve, current-voltage, current pressure relations, the strength of magnetic field as a function of inter-electrode distance, the influence of gas working pressure and argon-oxygen ratio on the electrical characterization were studied to determine the basic optimum condition of the system operation. the discharge current as a function of discharge voltage showed high discharge current at 2.5 cm. These parameters represent the basic conditions to operate any plasma sputtering system which are the right behavior to build up and design the discharge an el
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