Dentists ; Educational Measurement ; Guidelines as Topic ; Licensure, Dental ; Prosthodontics ; education

Objective:To investigate the preventive effect of nalmefene on sufentanil-induced cough in the patients with general anesthesia. Methods:Eighty patients with general anesthesia were randomly divided into the control group and the nalmefene group. The nalmefene group was intravenously given 0. 25μg·kg-1 hydrochloric acid natrium nalmefene 5 minutes before the induction, and physiological saline with the same capacity was given in the control group. Cough number and intensity in one minute after the injection of nalmefene were observed, and the changes of hemodynamic indices such as the blood pressure, heart rate and pulse oxygen satura-tion before the anesthesia induction (T0), 1min after sufentanil injection (T1) and after the intubation (T2) were observed and com-pared between the groups. Results:The incidence rate of cough was 37. 5% in the control group and 0% in the nalmefene group, and the incidence rate and strength of cough in nalmefene group were both lower than those in the control group (P<0. 05). The hemody-namic parameters at T1 showed notable changes when compared with those at T0 in the control group (P<0. 05), and had significant differences when compared with those in the nalmefene group (P<0. 05), and at T2, all the parameters recovered to the levels at T0. The parameters in the nalmefene group were much more steady than those in the control group (P>0. 05). Conclusion:Pretreatment with hydrochloric acid natrium nalmefene can prevent sufentanil-induced cough response during the induction of anesthesia without weakening the inhibitory effect of sufentanil on intubation response.

BACKGROUND: Gene microarray data has small sample size and large numbers of variates.Traditional statistical method is not effective.Genetic algorithm(GA)and support vector machine(SVM)are machine learning algorithms developed rapidly in recent years,which can decrease the dimension of features.OBJECTIVE: To combine GA and SVM to classify samples and compare with other two processes in which all genes and difference expression genes are taken as classifiers,respectively.METHODS: We applied golub data set provided by Bioconductor,which included gene expression data of leukaemia samples and normal samples.All genes were used to classify samples with SVM.SAM software was used to extract difference expression genes and estimate False Discovery Rate.Finally,76 difference expression genes were used as feature gene set to classify samples with SVM and GA-SVM respectively.Three classification effects were compared.Additionally,the distribution and function about feature genes in KEGG pathways were also discussed.RESULTS AND CONCLUSION: The accuracy of classification of SVM was improved by decreasing dimension with genetic algorithm.In particular,this process eliminated a great deal of redundant genes and noises,which improves the classification performance.Results show that GA-SVM algorithm is effective in classifying samples.In addition,the pathway analysis shows that signal transmission and amino acid metabolism are two major functions of feature genes.

Acupuncture ; China ; Moxibustion

China ; Clinical Competence ; Educational Measurement ; Employment ; Guidelines as Topic ; Humans ; Licensure, Dental ; Oral Medicine ; standards ; Professional Practice

Carcinoma ; drug therapy ; genetics ; metabolism ; pathology ; radiotherapy ; Desmoplastic Small Round Cell Tumor ; metabolism ; pathology ; Diagnosis, Differential ; Gene Rearrangement ; Head and Neck Neoplasms ; drug therapy ; genetics ; metabolism ; radiotherapy ; Humans ; Keratin-20 ; metabolism ; Keratin-7 ; metabolism ; Lymphatic Metastasis ; Male ; Mediastinal Neoplasms ; drug therapy ; genetics ; metabolism ; radiotherapy ; Melanoma ; metabolism ; pathology ; Neuroectodermal Tumors, Primitive ; metabolism ; pathology ; Nuclear Proteins ; genetics ; metabolism ; Oncogene Proteins ; genetics ; metabolism ; Oncogene Proteins, Fusion ; genetics ; metabolism ; Rhabdomyosarcoma ; metabolism ; pathology ; Thymus Neoplasms ; drug therapy ; genetics ; metabolism ; radiotherapy

· AIM: To study the expression of basic fibroblast growth factor (bFGF) receptor protein in human lens epithelial cells (HLECs). METHODS: Immunohistochemistry was used to detect the level of bFGF receptor protein and image analysis was adopted to perform the relative quantitative analysis on it. · RESULTS: There was bFGF receptor protein in HLECs accordingl to both qualitative and quantitative analysis. · CONCLUSION: bFGF receptor protein exists in HLECs and it is the material foundation for bFGF to improve the proliferation of HLECs.

Adenocarcinoma ; diagnosis ; therapy ; Guidelines as Topic ; Humans ; Thyroid Neoplasms ; diagnosis ; therapy

Humans ; Rectal Neoplasms ; pathology ; surgery ; Rectum ; surgery

Humans ; Practice Guidelines as Topic ; Rectal Neoplasms ; surgery