Backgrround:: Cholera is gastroenteritis caused by enterotoxin producing Vibrio cholera. Cholera is predominantly a waterborne disease especially in countries with inadequate sanitation. Several rapid methods have been developed and used to detect V. cholerae serotypes directly from stools.
Objjecttiives:: to evaluate a rapid and accurate method for the diagnosis of cholera caused by V. cholerae O1 and O139 serogroups d to find the incidence of sporadic cases of cholera in Baghdad.
Metthods:: Sixty four stool samples were collected from four hospitals in Baghdad. The age of patients ranging from two months to 12 years, 26 were females and 38 males. Immunochromatographic visual test for qualitative detection of O1 and /or O139 serogroups was used as well as routine culture procedure for isolation of V. cholerae.
Resulltts:: Immunochromatographic visual test shows that, out of 64 stool samples only 16 was positive (23.4%). Fifteen of them belong to O1 serotype and one belong O139 serotype. Stool sample culture on alkaline peptone water and then on Thiosulfate Citrate Bile salts Sucrose (TCBS) agar enhance the growth of 11(68.75%) V. cholerae isolates out of 16 that were positive by using immunochromatographic visual test. Sensitivity of culture and immunochromatographic test was 68.75% and 100% respectively.
Concllusiions:: V. cholerae O1 is more predominant than V. cholerae O139 among V. cholerae strains isolated from sporadic cases of cholera in Baghdad. Immunochromatographic test is rapid, accurate and more sensitive than culture method in recover V. cholerae strains.
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The research aims to examine the evaluation of educational quality management and the ways to improve it in the College of Education for Women at the University of Baghdad from the point of view of the academic staff. The research community consisted of (288) participants comprising all members of the academic staff in the College of Education for Women at the University of Baghdad for the academic year (2019-2020). As for the questionnaire, it was distributed to the academic staff of the scientific departments according to their affiliation for the purpose of identifying the availability of the requirements of the quality of the teaching service provided to them by the educational institution. The researcher adopted a questionnaire deve
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... Show MoreFace Identification is an important research topic in the field of computer vision and pattern recognition and has become a very active research area in recent decades. Recently multiwavelet-based neural networks (multiwavenets) have been used for function approximation and recognition, but to our best knowledge it has not been used for face Identification. This paper presents a novel approach for the Identification of human faces using Back-Propagation Adaptive Multiwavenet. The proposed multiwavenet has a structure similar to a multilayer perceptron (MLP) neural network with three layers, but the activation function of hidden layer is replaced with multiscaling functions. In experiments performed on the ORL face database it achieved a
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