Objective Analyzing the impact of teachers' background characteristics on the Students' evaluation to improve the quality of teaching from the angle of the teachers professional development. Methods Based on the data of students' evaluation of teaching of Shanghai medical college of Fudan University from 2008 to 2011, the article analyzed the teachers' gender, age, job title, diploma, and other relevant background characteristics. Excell2007 was used to build dataset and the data was analyzed statistically by software of SPSS 11.0 and expressed with x±s. The statis-tical method of one-way analysis of variance was used to compare the teachers with different genders, education backgrounds, ages and professional titles, showing statistically significant difference (P<0.05). Results comparative analysis showed that no statistically significant differences existed in fac-ulty teaching evaluation scores among the teachers of different genders or different education back-grounds(P=0.613 9、0.891 0). There were however significant differences in teaching evaluation of teachers of diverse ages and professional ranks(P=0.017 3 and P=0.032 5). Conclusions According to the analysis results of faculty teaching evaluations, associate professors' teaching evaluation scores were lower than intermediate grade teachers', and the score of the teachers between the age of 41 to 45 was lower than that of the teachers between the age of 36 to 40. Therefore individual variations and various social backgrounds of teaching faculties should be taken into consideration and the corre-sponding countermeasures for the professional development of teachers should been put forward. In addition, the cultivation of new teachers, young and middle-aged teachers should be strengthened, and the proportion of teaching evaluation in the Performance Appraisal should be increased.

Objective To explore the therapeutic mechanism of Modified Lugen Formula(Phragmitis Rhizoma,Cicadae Periostracum,Batryticatus Bombyx,Lonicerae Japonicae Flos,Glycyrrhiza,Menthae Haplocalycis Herba,Notopterygii Rhizoma et Radix,Puerariae Lobatae Radix,Bupleuri Radix)in treating influenza from the virus-host interaction interface.Methods The phytocompounds were first collected from the HERB database,and then potential active compounds were screened out by Lipinski's rules of five.The targets of active compounds were further predicted through the SwissTargetPrediction platform.Differentially expressed genes(DEGs)were determined from the human H1N1 influenza dataset GSE90732 available in the Gene Expression Omnibus database(GEO).H1N1-Homo sapiens-related protein-protein interactions(PPIs)were gathered from the Pathogen-Host Interaction Search Tool(PHISTO).The above mentioned bioinformatic datasets were integrated.Then a PPI network and a Formula-virus-host interaction network were constructed using Cytoscape.Functional enrichment analyses were performed by using R software.Finally,molecular docking was carried out to evaluate the binding activities between the key compounds and targets.Results A total of 1 252 active compounds,1 415 targets,951 influenza-related DEGs,and 10 142 H1N1-Homo sapiens-related PPIs were obtained.There were 72 intersection targets between the Modified Lugen Formula and influenza.Functional enrichment analyses showed that these targets are closely related to host defense and programmed cell death.The network topological analysis showed that active compounds in the Modified Lugen Formula,such as oleanolic acid,γ-undecalactone,and longispinogenin,regulate viral proteins M2,NA,NS1,and HA and/or the host factors HSP90AA1,NRAS,and ITGB1,thus exert therapeutic effect.Molecular docking results confirmed that these compounds had a good binding ability with the targets.Conclusion Multiple active ingredients in Modified Lugen Formula directly target influenza virus proteins and/or host factors,thereby play an anti-influenza role in multiple dimensions,including inhibiting virus replication,regulating host defense and cell death.This study provides a theoretical basis for further experimental analysis of the action mechanism of the Modified Lugen Formula in treating influenza.