4.Malignant myoepithelioma in the nasal septum: a case report and literature review.
Ying-ying XU ; Shui-hong ZHOU ; Bin-qi WENG
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2011;46(9):770-771
Endoscopy
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Humans
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Male
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Middle Aged
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Myoepithelioma
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surgery
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Nasal Septum
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pathology
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Nose Neoplasms
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surgery
9.Nitric oxide content and blood flow in nasal mucosa of allergic rhinitis guinea pigs
Su-Min WANG ; Hong-Liang ZHENG ; Ru-Xin ZHANG ; Zhao-Ji LI ; Shui-Miao ZHOU ;
Academic Journal of Second Military Medical University 1985;0(05):-
Objective:To examine the expression of nitric oxide synthase(NOS),the content of nitric oxide and blood flow in nasal mucosa of allergic rhinitis guinea pigs,so as to further investigate the mechanism of allergic rhinitis.Methods:One hundred and twenty guinea pigs were randomly divided into control group(injected with normal saline)and allergic group(nasal challenge with egg albumin).The guinea pigs were executed before and immediately,24,48,72 h after the last nasal challenge;the expression of endothelial nitric oxide synthase(eNOS)and inducible nitric oxide synthase(iNOS)and the content of nitric oxide were examined in mucosa tissues.The blood flow in the nasal mucosa was determined in animals before execution.Linear regression correlation was used to analyze the relationship between the nitric oxide content and blood flow in nasal mucosa.Results:The immunostaining for iNOS in surface epithelium of allergic rhinitis guinea pigs was markedly stronger than that of normal guinea pigs at all time points(P
10.The application of Support Vector Machine for prediction of posttraumatic stress disorder on adults in flood district
Peng HUANG ; Hong-Zhuan TAN ; Li-Bo ZHOU ; Shui-Dong FENG
Chinese Journal of Epidemiology 2009;30(1):78-81
To predict the occurrence ofposttraumatic stress disorder (PTSD),using a Support Vector Machine (SVM) on adults in flood district.Diagnostic and Statistical Manuals on Mental Disorders (IV Edition) were used to examine and diagnose the victims in flood districts.Based on the forecasting model of SVM with PTSD as dependent variables and 23 influence factors of PTSD as independent variables,prediction of PTSD was conducted among the victims.After considering 23 influence factors into the prediction model,the agreement rate of prediction of the model was 88.05 percent,with sensitivity as 75.0 percent,and specificity as 89.4percent.Conclusion: The prediction model based on SVM with 23 influence factors had good effect on predicting the occurrence of PTSD.