Objectives:To assess the effects of a wearable-sensorassisted multicomponent exercise program on physical fitness,cognition and quality of life in a practical setting involving frail older adults.Methods:Frail older a...Objectives:To assess the effects of a wearable-sensorassisted multicomponent exercise program on physical fitness,cognition and quality of life in a practical setting involving frail older adults.Methods:Frail older adults(n=130)were randomly divided into a control(CG,n=68)group and an exercise group(EG,n=62)in a 12-week intervention,which included stride gait training with wearable sensors;aerobic exercise;and resistance,flexibility,balance,and cognitive training.Primary outcomes(physical fitness)were evaluated via the SPPB and SFT.Secondary outcomes(cognitive ability,quality of life and frailty)were evaluated via the MoCA-BC,SF-36 and Fried frailty criteria,respectively.Results:After the 12-week intervention,the EG demonstrated significant improvements(p<0.05)vs.the CG in gait speed(β_(3)=0.424,coefficient of interaction effect between group and time from the generalized linear mixed model),chair stand(β_(3)=0.501)and total score(β_(3)=65.466)of SPPB and all SFT components including 6MWT(walked distance,β_(3)=1.098;walking speed,β_(3)=0.105;stride length,β_(3)=0.041),back scratch(β_(3)=4.926),chair sit and reach(β_(3)=3.762),30s arm curl(β_(3)=6.124),30s sit-to-stand(β_(3)=3.04),and TUG(β_(3)=−6.712).The MoCA-BC total,verbal fluency and delayed recall scores;the physical function,general health,vitality,and mental health scores of the SF-36;and the frailty phenotype in the EG were significantly improved compared with those of the CG.Conclusions:The progressive wearable-sensor-assisted multicomponent exercise program designed in this study enhanced physical fitness,cognitive ability and quality of life and slowed down the progression of frailty in frail older adults,supporting its potential as a feasible communitybased health intervention.展开更多
This paper is concerned with the problem of distributed coordination energy management of integrated energy systems(IESs). First, an energy management model for IESs is established and formulated as a distributed cons...This paper is concerned with the problem of distributed coordination energy management of integrated energy systems(IESs). First, an energy management model for IESs is established and formulated as a distributed constrained optimization problem. Then, an accelerated distributed event-triggered algorithm is developed to solve the problem. Compared with the existing algorithms, the developed algorithm simultaneously offers two advantages. On the one hand, the convergence speed of the algorithm is improved greatly by incorporating the second-order information. On the other hand, the algorithm is implemented with asynchronous communication by an eventtriggered mechanism, effectively reducing communication interact. Furthermore, the convergence and optimality of the algorithm are analyzed rigorously based on Lyapunov method.Finally, simulation studies are provided to validate the effectiveness of the algorithm.展开更多
基金supported by the project of Guangzhou Sports Science and Technology Collaborative Innovation Center(No.SL2022B04J00034)National Key Research and Development Program of China(No.2020YFC2002900)。
文摘Objectives:To assess the effects of a wearable-sensorassisted multicomponent exercise program on physical fitness,cognition and quality of life in a practical setting involving frail older adults.Methods:Frail older adults(n=130)were randomly divided into a control(CG,n=68)group and an exercise group(EG,n=62)in a 12-week intervention,which included stride gait training with wearable sensors;aerobic exercise;and resistance,flexibility,balance,and cognitive training.Primary outcomes(physical fitness)were evaluated via the SPPB and SFT.Secondary outcomes(cognitive ability,quality of life and frailty)were evaluated via the MoCA-BC,SF-36 and Fried frailty criteria,respectively.Results:After the 12-week intervention,the EG demonstrated significant improvements(p<0.05)vs.the CG in gait speed(β_(3)=0.424,coefficient of interaction effect between group and time from the generalized linear mixed model),chair stand(β_(3)=0.501)and total score(β_(3)=65.466)of SPPB and all SFT components including 6MWT(walked distance,β_(3)=1.098;walking speed,β_(3)=0.105;stride length,β_(3)=0.041),back scratch(β_(3)=4.926),chair sit and reach(β_(3)=3.762),30s arm curl(β_(3)=6.124),30s sit-to-stand(β_(3)=3.04),and TUG(β_(3)=−6.712).The MoCA-BC total,verbal fluency and delayed recall scores;the physical function,general health,vitality,and mental health scores of the SF-36;and the frailty phenotype in the EG were significantly improved compared with those of the CG.Conclusions:The progressive wearable-sensor-assisted multicomponent exercise program designed in this study enhanced physical fitness,cognitive ability and quality of life and slowed down the progression of frailty in frail older adults,supporting its potential as a feasible communitybased health intervention.
基金supported in part by the National Natural Science Foundation of China (62503128, U24B20184, 62373118)the National Key Research and Development Program of China (2023YFB3906403)
文摘This paper is concerned with the problem of distributed coordination energy management of integrated energy systems(IESs). First, an energy management model for IESs is established and formulated as a distributed constrained optimization problem. Then, an accelerated distributed event-triggered algorithm is developed to solve the problem. Compared with the existing algorithms, the developed algorithm simultaneously offers two advantages. On the one hand, the convergence speed of the algorithm is improved greatly by incorporating the second-order information. On the other hand, the algorithm is implemented with asynchronous communication by an eventtriggered mechanism, effectively reducing communication interact. Furthermore, the convergence and optimality of the algorithm are analyzed rigorously based on Lyapunov method.Finally, simulation studies are provided to validate the effectiveness of the algorithm.
