The study was conducted for the detection of Listeria monocytogenes bacteria from different sources （CSF and blood） obtained from patients in Pediatric hospital and from food sources like （yogurt, raw vegetables an...The study was conducted for the detection of Listeria monocytogenes bacteria from different sources （CSF and blood） obtained from patients in Pediatric hospital and from food sources like （yogurt, raw vegetables and raw milk, sausage）. Ten isolates were isolated from 150 specimens one of them from CSF and one isolate isolated from blood samples the others isolated from food specimens 6 isolates isolated from sausage and 2 from raw vegetables. Isolates were identified traditionally involved culture methods based on selective enrichment and plating followed by the characterization of Listeria spp. based on colony morphology, sugar fermentation and haemolytic properties, identification by Api listeria was done. Determine the isolates that produce biofilm by tissue culture plate method. The highest biofilm forming strains ofListeria monocytogenes isolates appear in No. （D10, El, E5 and E7） OD reading each of them is （0.13, 0.09, 0.11 and 0.19） respectively, the lowest or poor biofilm forming strains appear in No. （D11, D12, E2, E3, E4 and E6） that optical density （OD） reading are （0.04, 0.03, 0.05, 0.04, 0.05 and 0.03） respectively by comparing with control prepared in well （A12） that stained by crystal violate without putting any isolates and the OD reading is （0.003）. Confirmation by PCR was done only for four isolates that produce biofilm （D10 and El） that obtained from CSF and blood sample and for （E5 and E7） that obtained from food samples.展开更多
We consider an Error-in-Variable partially linear model where the covariates of linear part are measured with error which follows a normal distribution with a known covariance matrix. We propose a corrected-loss estim...We consider an Error-in-Variable partially linear model where the covariates of linear part are measured with error which follows a normal distribution with a known covariance matrix. We propose a corrected-loss estimation of the covariate effect. The proposed estimator is asymptotically normal. Simulation studies are presented to show that the proposed method performs well with finite samples, and the proposed method is applied to a real data set.展开更多
文摘The study was conducted for the detection of Listeria monocytogenes bacteria from different sources （CSF and blood） obtained from patients in Pediatric hospital and from food sources like （yogurt, raw vegetables and raw milk, sausage）. Ten isolates were isolated from 150 specimens one of them from CSF and one isolate isolated from blood samples the others isolated from food specimens 6 isolates isolated from sausage and 2 from raw vegetables. Isolates were identified traditionally involved culture methods based on selective enrichment and plating followed by the characterization of Listeria spp. based on colony morphology, sugar fermentation and haemolytic properties, identification by Api listeria was done. Determine the isolates that produce biofilm by tissue culture plate method. The highest biofilm forming strains ofListeria monocytogenes isolates appear in No. （D10, El, E5 and E7） OD reading each of them is （0.13, 0.09, 0.11 and 0.19） respectively, the lowest or poor biofilm forming strains appear in No. （D11, D12, E2, E3, E4 and E6） that optical density （OD） reading are （0.04, 0.03, 0.05, 0.04, 0.05 and 0.03） respectively by comparing with control prepared in well （A12） that stained by crystal violate without putting any isolates and the OD reading is （0.003）. Confirmation by PCR was done only for four isolates that produce biofilm （D10 and El） that obtained from CSF and blood sample and for （E5 and E7） that obtained from food samples.
基金supported by National Natural Science Foundation of China(Grant Nos.10901020 and 11371062)the Fundamental Research Funds for the Central Universities,Beijing Center for Mathematics and Information Interdisciplinary Sciences,China Zhongdian Project(Grant No.11131002)
文摘We consider an Error-in-Variable partially linear model where the covariates of linear part are measured with error which follows a normal distribution with a known covariance matrix. We propose a corrected-loss estimation of the covariate effect. The proposed estimator is asymptotically normal. Simulation studies are presented to show that the proposed method performs well with finite samples, and the proposed method is applied to a real data set.
