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Yang Wang,Shingo Mabu,Huiyu Zhou,Xianneng Li,Kaoru Shimada,Bofeng Zhang,Kotaro Hirasawa 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In this paper, a method of time-related classas sociation rule mining is proposed based on Genetic Network Programming(GNP) combined with Estimation of Distribution Algorithms(EDAs). The reare two important points in this paper: The first important point is to combine GNP with Estimation of Distribution Algorithms which are a novel evolution strategy. The second important point is that three kinds of probability models have been put for ward for generating new individuals. The aim of this paper is to extract more interesting association rules and to improve the traffic prediction accuracy by combining Genetic Network Proramming with Estimation of Distribution Algorithms. We applied the proposed data mining algorithm to traffic system sin order to predict the traffic volume in future. The simulation results show that our proposed method is effective compared with the conventional method based on GNP.
Bo Feng,Qian Zhang,Jianfang Wang,Hong Dong,Xiang Mu,Ge Hu,Tao Zhang 한국분자세포생물학회 2018 Molecules and cells Vol.41 No.4
IFIT1 (also known as ISG56) is a member of the interferoninducible protein with tetratricopeptide repeats (IFITs) family. IFITs are strongly induced by type I interferon (IFN), doublestranded RNA and virus infection. Here, we investigated IFIT1 expression in human umbilical vein endothelial cells (HUVECs) and in human bronchus epithelial cells (BEAS-2Bs) induced by the H9N2 virus and inactivated viral particle at different time points. We also investigated the effect of H9N2 virus and viral particle infection on IFN-α/β production, and assessed whether hemagglutinin or neuraminidase protein induced IFIT1 expression. Results showed that both H9N2 virus infection and viral particle inoculation induced the expression of IFIT1 at mRNA and protein levels in the two cell lines. Hemagglutinin or neuraminidase protein binding alone is not sufficient to induce IFIT1 expression. Surprisingly, the expression patterns of IFIT1 in response to H9N2 virus and viral particles in the two cell lines were opposite, and production kinetics of IFN-α/β also differed. An additional finding was that induction of IFIT1 in response to H9N2 virus infection or viral particle inoculation was more sensitive in HUVECs than in BEAS-2Bs. Our data offers new insight into the innate immune response of endothelial cells to H9N2 virus infection.