A real-time forecasting method coupled with the I-D unsteady flow model with the recursive least-square method was developed. The 1-D unsteady flow model was modified by using the time-variant parameter and revising i...A real-time forecasting method coupled with the I-D unsteady flow model with the recursive least-square method was developed. The 1-D unsteady flow model was modified by using the time-variant parameter and revising it dynamically through introducing a variable weighted forgetting factor, such that the output of the model could be adjusted for the real time forecasting of floods. The application of the new real time forecasting model in the reach from Yichang to Luoshan of the Yangtze River was demonstrated. Computational result shows that the forecasting accuracy of the new model is much higher than that of the original 1-D unsteady flow model. The method developed is effective for flood forecasting, and can be used for practical operation in the flood forecasting.展开更多
Accelerated forgetting has been identified as a feature of Alzheimer's disease(AD),but the therapeutic efficacy of the manipulation of biological mechanisms of forgetting has not been assessed in AD animal models....Accelerated forgetting has been identified as a feature of Alzheimer's disease(AD),but the therapeutic efficacy of the manipulation of biological mechanisms of forgetting has not been assessed in AD animal models.Ras-re-lated C3 botulinum toxin substrate 1(Rac1),a small GTPase,has been shown to regulate active forgetting in Drosophila and mice?Here,we showed that Rac1 activity is aberrantly elevated in the hippocampal tissues of AD patients and AD animal models.Moreover,amyloid-beta 42 could induce Rac1 activation in cultured cells.The elevation of Rac1 activity not only accelerated 6-hour spatial memory decay in 3-month-old APP/PS1 mice,but also significantly contributed to severe memory loss in aged APP/PS1 mice.A similar age-dependent Rac1 activity-based memory loss was also observed in an AD fly model.Moreover,inhibition of Rac1 activity could ameliorate cognitive defects and synaptic plasticity in AD animal models.Finally,two novel compounds,identified through behavioral screening of a randomly selected pool of brain permeable small molecules for their positive effect in rescuing memory loss in both fly and mouse models,were found to be capable of inhibiting Rac1 activity.Thus,multiple lines of evidence corroborate in supporting the idea that inhibition of Rac1 activity is effective for treating AD-related memory loss.展开更多
Modeling and state of charge （SOC） estimation of lithium-ion （Li-ion） battery are the key techniques of battery pack management system （BMS） and critical to its reliability and safety operation. An auto-regressi...Modeling and state of charge （SOC） estimation of lithium-ion （Li-ion） battery are the key techniques of battery pack management system （BMS） and critical to its reliability and safety operation. An auto-regressive with exogenous input （ARX） model is derived from RC equivalent circuit model （ECM） due to the discrete-time characteristics of BMS. For the time-varying environmental factors and the actual battery operating conditions, a variable forgetting factor recursive least square （VFFRLS） algorithm is adopted as an adaptive parameter identifica- tion method. Based on the designed model, an SOC estimator using cubature Kalman filter （CKF） algorithm is then employed to improve estimation performance and guarantee numerical stability in the computational procedure. In the battery tests, experimental results show that CKF SOC estimator has a more accuracy estimation than extended Kalman filter （EKF） algorithm, which is widely used for Li-ion battery SOC estimation, and the maximum estimation error is about 2.3%.展开更多
文摘A real-time forecasting method coupled with the I-D unsteady flow model with the recursive least-square method was developed. The 1-D unsteady flow model was modified by using the time-variant parameter and revising it dynamically through introducing a variable weighted forgetting factor, such that the output of the model could be adjusted for the real time forecasting of floods. The application of the new real time forecasting model in the reach from Yichang to Luoshan of the Yangtze River was demonstrated. Computational result shows that the forecasting accuracy of the new model is much higher than that of the original 1-D unsteady flow model. The method developed is effective for flood forecasting, and can be used for practical operation in the flood forecasting.
文摘Accelerated forgetting has been identified as a feature of Alzheimer's disease(AD),but the therapeutic efficacy of the manipulation of biological mechanisms of forgetting has not been assessed in AD animal models.Ras-re-lated C3 botulinum toxin substrate 1(Rac1),a small GTPase,has been shown to regulate active forgetting in Drosophila and mice?Here,we showed that Rac1 activity is aberrantly elevated in the hippocampal tissues of AD patients and AD animal models.Moreover,amyloid-beta 42 could induce Rac1 activation in cultured cells.The elevation of Rac1 activity not only accelerated 6-hour spatial memory decay in 3-month-old APP/PS1 mice,but also significantly contributed to severe memory loss in aged APP/PS1 mice.A similar age-dependent Rac1 activity-based memory loss was also observed in an AD fly model.Moreover,inhibition of Rac1 activity could ameliorate cognitive defects and synaptic plasticity in AD animal models.Finally,two novel compounds,identified through behavioral screening of a randomly selected pool of brain permeable small molecules for their positive effect in rescuing memory loss in both fly and mouse models,were found to be capable of inhibiting Rac1 activity.Thus,multiple lines of evidence corroborate in supporting the idea that inhibition of Rac1 activity is effective for treating AD-related memory loss.
基金supported by the National High Technology Research and Development of China 863 Program(Grant No. 2011AA11A247)
文摘Modeling and state of charge （SOC） estimation of lithium-ion （Li-ion） battery are the key techniques of battery pack management system （BMS） and critical to its reliability and safety operation. An auto-regressive with exogenous input （ARX） model is derived from RC equivalent circuit model （ECM） due to the discrete-time characteristics of BMS. For the time-varying environmental factors and the actual battery operating conditions, a variable forgetting factor recursive least square （VFFRLS） algorithm is adopted as an adaptive parameter identifica- tion method. Based on the designed model, an SOC estimator using cubature Kalman filter （CKF） algorithm is then employed to improve estimation performance and guarantee numerical stability in the computational procedure. In the battery tests, experimental results show that CKF SOC estimator has a more accuracy estimation than extended Kalman filter （EKF） algorithm, which is widely used for Li-ion battery SOC estimation, and the maximum estimation error is about 2.3%.
