1.Study on molluscicidal effect of Xanthobacter autotrophicus against Oncomelania hupensis
Ruifen XIAO ; Jianming YANG ; Pingyao WANG ; Chunhong WU
Chinese Journal of Schistosomiasis Control 1989;0(01):-
Objective To screen a kind of microorganism which is low poisonous for living creature but has high molluscicidal effect. Methods The Xanthobacter autotrophicus from the soil where Oncomelania hupensis lived were detached, then its molluscicidal effect against the snails were studied by the immersing and contacting methods, respectively. Results The death rates were 1.3%-95.0% immersed for 24 to 72 hours in the different density liquids (1?106,2?106,3?106,4?106 cfu/ml). The LD_~50 immersed for 48 hours was 2.6?106 cfu/ml. The death rates had obviously positive relationship with the immersing time and the density of the liquid. Conclusion The liquid which contains more than 106 cfu/ml Xanthobacter autotrophicus has a stable molluscicidal capacity, and the immersing method is better than the contacting method.[
2.Study on ‘ problem behavior' and influencing factors during job hunting of medical students
Xi YANG ; Li KANG ; Yifan XIAO ; Ruifen SHI
Chinese Journal of Medical Education Research 2013;(1):71-74
Objective To understand the ‘ problem behavior' and influencing factors during job haunting of medical students and to provide guidance for students.Methods Totally 409 medical students who had graduated or were going to graduate but all having the experiences of applying for jobs were surveyed with self-made questionnaire.Likert 5 points scoring method was employed to evaluate the job hunting and SPSS 17.0 seftware was used to do statistical analysis.Results The ‘ problem behaviors' with the highest scores were conformism and comparison [(3.93 ± 0.628) and (3.80 ± 0.847) respectively)].Self factors influencing students' behavior in career choice included the capacity for self-definition (3.62 ± 0.855),personal values (3.55 ± 0.893) and legal awareness (3.51 ± 1.039).Meanwhile,the factor with the highest score was education cost (3.93 ± 0.887).Besides,influences of family expectation (3.43 ± 0.945),employment environment (3.40 ± 0.940) and college educational system (3.28 ± 1.038) were also outstanding.Conclusions Medical students'‘ problem behaviors' during job hunting are diverse and are influenced by many factors.So,we are supposed to strengthen the education and guidance from the self factors,combining the actions of school,family and society to promote medical students' employment.
3.Comparison of two mouse models of alcoholic liver disease induced by oral ethanol gavage or Lierber-DeCarli ethanol liquid diet
Juan XIAO ; Ruifen ZHANG ; Fei HUANG ; Lei LIU ; Yuanyuan DENG ; Yongxuan MA ; Dong LIU ; Mingwei ZHANG ; Yuanming SUN
Chinese Journal of Comparative Medicine 2016;26(6):11-17
Objective To select a simple, stable and reliable mouse model of alcoholic liver disease. Methods The mouse models of alcoholic liver disease were induced by oral gavage ethanol or Lierber?DeCarli ethanol liquid diet for 8 weeks. The food intake and body weight were recorded. Pathological changes were examined using HE staining. Liver injury was assessed by the activities of serum ALT, AST, AKP and γ?GT, and serum and hepatic TC and TG. Results After modeling, both models showed significantly increased activities of serum ALT, AST, AKP, and contents of serum and hepatic TG (P<0?05), indicating the successful development of alcoholic steatohepatitis. However, oral ethanol gavage led to body weight loss and weak mental state. Ethanol liquid diet less affected the body weight and mental state. Ethanol liquid diet enhanced liver to?body weight ratio and serum TC, but oral gavage of ethanol did not. The changes of serum ALT, AST, serum and hepatic TG, and hepatic steatosis in the ethanol liquid diet models were more severe than those in the oral gavage ethanol models, suggesting that Lierber?DeCarli ethanol liquid diet led to more serious liver injury than oral gavage ethanol. Conclusions Lierber?DeCarli ethanol liquid diet model is better than oral gavage ethanol model, and is more suitable for studies on mechanisms and evaluation of hepato?protective drugs for alcoholic liver disease.
4.Risk factors for intrapartum fever during labor analgesia and development of a prediction model
Min XU ; Jing GAO ; Huilan ZHAO ; Meixia WANG ; Ruifen JIAO ; Xueqin LIU ; Xiao CHEN ; Guohua ZHANG
Chinese Journal of Anesthesiology 2023;43(12):1454-1458
Objective:To identify the risk factors for intrapartum fever during labor analgesia and establish the prediction model.Methods:The medical records from pregnant women with intrapartum fever during labor analgesia were retrospectively analyzed. According to whether the highest body temperature ≥38 ℃, the parturients were divided into intrapartum fever group and non-fever group. The general data from patients, duration of hospital stay before labor, induced labor, prenatal hemoglobin concentration, body msaa index (BMI) during pregnancy, artificial rupture of membranes in the incubation period, frequency of vaginal examination and etc. were collected. The risk factors of which P values were less than 0.05 would enter the logistic regression analysis to stratify intrapartum fever-related risk factors, and the weighted score regression prediction model was established. Hosmer-Lemshow Test was used to assess the fit of the model, and the receiver operating characteristic curve was drawn to evaluate the model. The nomogram was drawn for visually presenting the regression model. The clinical calibration curve, decision curve analysis and clinical impact curve were drawn to assess the created prediction model. Results:There were 99 parturients developed fever during labor analgesia, with an incidence of 34.7%. The results of logistic regression analysis showed that duration of hospital stay before labor, prenatal hemoglobin concentrations, BMI during pregnancy, induced labor, artificial rupture of membranes in the incubation period and frequency of vaginal examination were the independent risk factors for intrapartum fever during labor analgesia. The area under the receiver operating characteristic curve was 0.943, 95% confidence interval was 0.916-0.969, the sensitivity was 86.9%, the specificity was 88.6%, and the Youden index was 0.755. The prediction model of the line chart was assessed by Hosmer-Lemshow, P=0.898. Conclusions:Duration of hospital stay before labor, hemoglobin concentrations, BMI during pregnancy, induced labor, artificial rupture of membranes in the incubation period and frequency of vaginal examination are independent risk factors for intrapartum fever during labor analgesia in parturients, and the risk prediction model developed can effectively predict the occurrence of intrapartum fever during labor analgesia.