Background: The antimicrobial resistance is one of the most serious and expanding health problems world -wide in the last decades. The esbl escherichia coli. (extended – spectrum beta-lactamase e.coli) represents an important aspect of it .Objectives: To get an overview on the esbl e.coli prevalence profile in general. Also to assess the antibiotic sensitivity of esbl e. coli trying to specify the most effective antibiotics in combating this micro-organism.Methods: this study tries to focus on this problem in Iraq which through a prospective study approach by taking 35 clinical samples from various sources (urine, blood, abscess, eye ,vagina ,stool and others),and after confirming the presence of e.coli, the presence of esbl e.coli and antibiotic sensitivity are confirmed by the use of Kirby - bauer method.Results: results showed that esbl e.coli constitutes 80% of the cases, while the results of antibiotic sensitivity were as follows: ampicillin 3.3% , ampicillin/sulbactam 20% , amoxi/clav 0%pipracillin/tazobactam 89.7% meropenem 96.7% ,imipenem 96.9% ,cefotaxime 0% ,ceftriaxone 11.8%,ceftazidime 16.1%,cefipime 14.3% ,cefazolin 16.1% cefoxitin 64.7%, aztreonam 14.3%,gentamycin 50% ,tobramycin 64.3%, amikacin 94.3%,ciprofloxacin 58.8% ,levofloxacin,64.5%nitrofurantoin,79.2%,trimethprimesulphamethoxazole 29.6% .Conclusion: the problem of esbl e.coli is expanding and there is a continuous demand for frequent monitoring of the new trends on antimicrobial resistance in different parts of the world in addition to trying to develop new antimicrobials to combat the new highly resistant strains .moreover there is a continuous need to educate the medical and the paramedical staff abot the risk of unjustified and improper prescription and use of antimicrobials.Key words: escherichia coli, extended-spectrum beta-lactamase, kirby-bauer method, muller hinton agar
The main problem when dealing with fuzzy data variables is that it cannot be formed by a model that represents the data through the method of Fuzzy Least Squares Estimator (FLSE) which gives false estimates of the invalidity of the method in the case of the existence of the problem of multicollinearity. To overcome this problem, the Fuzzy Bridge Regression Estimator (FBRE) Method was relied upon to estimate a fuzzy linear regression model by triangular fuzzy numbers. Moreover, the detection of the problem of multicollinearity in the fuzzy data can be done by using Variance Inflation Factor when the inputs variable of the model crisp, output variable, and parameters are fuzzed. The results were compared usin
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In this paper, estimation of system reliability of the multi-components in stress-strength model R(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter θ and, the second shape parameter α is unknown using different estimation methods. Comparisons among the proposed estimators through Monte Carlo simulation technique were made depend on mean squared error (MSE) criteria
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The comparison of double informative priors which are assumed for the reliability function of Pareto type I distribution. To estimate the reliability function of Pareto type I distribution by using Bayes estimation, will be used two different kind of information in the Bayes estimation; two different priors have been selected for the parameter of Pareto type I distribution . Assuming distribution of three double prior’s chi- gamma squared distribution, gamma - erlang distribution, and erlang- exponential distribution as double priors. The results of the derivaties of these estimators under the squared error loss function with two different double priors. Using the simulation technique, to compare the performance for
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