Bluetongue virus is an arbovirus that seriously harms ruminants such as sheep,this study aims to investigate the molecular mechanism of bluetongue virus infection and host cell interferon antiviral immune response.The study was conducted to characterize the mRNA expression of inter-feron pathway genes by real-time fluorescence quantitative PCR,as well as Western blot analysis of MDA5,TRAF3,RIG-Ⅰ,and TBK1 protein expression in BHK-21 cells induced by BTV with a multiplicity of infections(MOI)of 1 for 18,24,and 36 h.The results showed that the most pro-nounced changes in the expression of interferon signaling pathway genes were observed at 24 h of induction,the gene mRNA expression levels of the IFN-α,IFN-β,RIG-Ⅰ,TBK1,MDA5,VISA,and TRAF3 genes were upregulated.However,the mRNA expression levels of IKKε and TRAF6 genes were downregulated.At the protein level,MDA5 and TBK1 proteins were upregulated while RIG-1 and TRAF3 proteins were downregulated,which showed that BTV infection induces a typeⅠ interferon immune response in BHK-21 cells.This study lays the foundation for further exploring the antiviral immunity mechanism of IFN-Ⅰ signaling pathway regulatory genes in host cells infected with BTV infection.

Objective:In order to improve the hospital scientific research communication management level, enhance the efficiency of hospital management, a survey on the satisfaction of the scientific research communication management mechanism among the medical employees in a third-grade hospital was conducted to explore its influencing factors, as well as to provide reference for improving the scientific research communication management system.Methods:A third grade hospital in Tianjin was selected as the questionnaire survey unit, 233 people were selected by stratified sampling method to conduct the questionnaire survey on their satisfaction with the communication management mechanism. SPSS 23.0 was used for single factor chi-square test and multivariate Logistic regression analysis.Results:The overall satisfaction of 233 employees surveyed was 88.4%. Single factor chi-square test results showed that different age, ″research managers actively communicate″, ″frequency″, "understanding the role of communication mechanisms″, ″understanding of the mechanisms of communication″, ″communication with senior management leadership″, ″communication mechanism in the team″, ″communication mechanism with other hospital team and departments″, ″familiar of the team plans and work progress″, ″form of obtaining scientific research information″, ″demands for obtaining scientific research information″, ″attitude towards scientific research information″ and other items had statistically significant association with satisfaction ( P<0.05). Multivariate Logistic regression analysis results showed that ″Science management personnel actively communicate″ (OR=0.129, 95%CI: 0.020-0.851), ″medium frequency of communication frequency″ (OR=0.254, 95%CI: 0.068-0.951), ″communication mechanism can ensure that most of the information is received″ (OR=0.073, 95%CI: 0.010-0.563), ″Good communication with superior management leadership″ (OR=0.044, 95%CI: 0.005-0.361), ″Good communication mechanism in team″ (OR=0.039, 95%CI: 0.010-0.563) were protective factors of medical employees′ satisfaction. Conclusions:The overall satisfaction of the medical employees in the third grade a hospital to the scientific research communication management mechanism is relatively high. However, further measurements still need to be carried out, including strengthen the popularization of communication mechanism and conduct communication with appropriate frequency. At the same time, the hospital should pay more attention to the role of team communication in the hospital scientific research communication management mechanism. Various ways and incentive mechanisms should be adopted to improve the satisfaction of medical employees on the hospital scientific research communication and communication management mechanism, and further to improve the efficiency of scientific research, be more productive, and create greater value for the hospital.

The collection process of the pulse signal is easily disturbed by the noise, that will reduce the quality of the signal, and affect its applications on the healthy monitoring system. In order to solve this problem, this paper analyzes the causes of the generation of interference during pulse signal acquisition and the characteristics of interference performance, and puts forward the corresponding detection algorithm for pulse signal interference section. Based on this algorithm, a Cascaded Layer-by-Layer Discrimination method is proposed to evaluate the quality of pulse signals, in which pulse signals are divided into available signals and unavailable signals. Experimental results on PC and Android platform show that the proposed algorithm can detect the interference segment accurately in the pulse signal in real time, and improve the usability of the evaluation for pulse signal.