Background an aims: Current interferon alfa (IFN) treatment of chronic hepatitis B has limited efficacy. The role of hepatitis B virus (HBV) genotypes for response to IFN was investigated. Patients and methods: HBV ge...Background an aims: Current interferon alfa (IFN) treatment of chronic hepatitis B has limited efficacy. The role of hepatitis B virus (HBV) genotypes for response to IFN was investigated. Patients and methods: HBV genotypewas determined by direct sequencing of the HBV Xgene in 165 consecutive patientswith chronic replicative hepatitis B treated with standard IFN. HBV genotype A or D was found in 144 cases. Results: Sustained response (six months after treatment) to standard IFN therapy was higher in HBV genotype A compared with HBV genotype D infected patients (49%v 26%; p < 0.005). Sustained response to IFN was 46%versus 24%(p < 0.03) in hepatitis B e antigen (HBeAg) positive hepatitis (n = 99) and 59%versus 29%(p < 0.05) in HBeAg negative hepatitis (n = 45) for HBV genotype A compared with HBV genotype D. HBeAg status had no negative impact on IFN response. Multivariate logistic regression identified HBV genotype A and high pretreatment alanine aminotransferase levels (> 2x upper limit of normal) as independent positive predictive parameters of IFN response. Conclusions: The present study indicates that HBV genotypes A and D are important and independent predictors of IFN responsiveness in chronic hepatitis B. HBV genotype adapted treatment regimens may further improve treatment efficacy in chronic hepatitis B.展开更多
In this study, a real-time control of the cart inverted pendulum system was developed using Mamdani type Fuzzy Logic Controller. Swing-up and stabilization of the inverted pendulum were implemented directly in a Fuzzy...In this study, a real-time control of the cart inverted pendulum system was developed using Mamdani type Fuzzy Logic Controller. Swing-up and stabilization of the inverted pendulum were implemented directly in a Fuzzy Logic Controller. The fuzzy logic controller was designed in the Matlab-Simulink environment and applied into in a Quasar controller board. Swing-up algorithm brings the pendulum near to its inverted position in 5 seconds from downward position. External forces were applied on the inverted pendulum to test the robustness of the fuzzy logic controller under internal as well as external disturbances. The inverted pendulum system showed an acceptable robustness to the external and internal disturbances.展开更多
文摘Background an aims: Current interferon alfa (IFN) treatment of chronic hepatitis B has limited efficacy. The role of hepatitis B virus (HBV) genotypes for response to IFN was investigated. Patients and methods: HBV genotypewas determined by direct sequencing of the HBV Xgene in 165 consecutive patientswith chronic replicative hepatitis B treated with standard IFN. HBV genotype A or D was found in 144 cases. Results: Sustained response (six months after treatment) to standard IFN therapy was higher in HBV genotype A compared with HBV genotype D infected patients (49%v 26%; p < 0.005). Sustained response to IFN was 46%versus 24%(p < 0.03) in hepatitis B e antigen (HBeAg) positive hepatitis (n = 99) and 59%versus 29%(p < 0.05) in HBeAg negative hepatitis (n = 45) for HBV genotype A compared with HBV genotype D. HBeAg status had no negative impact on IFN response. Multivariate logistic regression identified HBV genotype A and high pretreatment alanine aminotransferase levels (> 2x upper limit of normal) as independent positive predictive parameters of IFN response. Conclusions: The present study indicates that HBV genotypes A and D are important and independent predictors of IFN responsiveness in chronic hepatitis B. HBV genotype adapted treatment regimens may further improve treatment efficacy in chronic hepatitis B.
文摘In this study, a real-time control of the cart inverted pendulum system was developed using Mamdani type Fuzzy Logic Controller. Swing-up and stabilization of the inverted pendulum were implemented directly in a Fuzzy Logic Controller. The fuzzy logic controller was designed in the Matlab-Simulink environment and applied into in a Quasar controller board. Swing-up algorithm brings the pendulum near to its inverted position in 5 seconds from downward position. External forces were applied on the inverted pendulum to test the robustness of the fuzzy logic controller under internal as well as external disturbances. The inverted pendulum system showed an acceptable robustness to the external and internal disturbances.