Integrating the merits of long lifespan and excellent energy as well as power densities,potassium-ion hybrid capacitors(PIHCs)exhibit great prospects for future energy storage devices.To boost comprehensive performanc...Integrating the merits of long lifespan and excellent energy as well as power densities,potassium-ion hybrid capacitors(PIHCs)exhibit great prospects for future energy storage devices.To boost comprehensive performance of PIHCs,heteroatom-doping and morphology-tuning as two comprehensive strategies have been devoted to designing uniquely structural carbon-based materials with favorable advantages.An ideal strategy for simultaneous atomic doping and structural regulation is expected to be developed.Herein,we propose a novel"Killing Two Birds with One Stone"strategy to prepare a tri-elements doped hollow carbon sphere(TED-HCS)as PIHCs anodes,that is,a single template of spherical CoP particles is rationally adopted,which not only provides both a P source for heteroatom-doping but also acts as a selfsacrificial template for hollow-structure engineering.The multifunctional TED-HCS presents a high capacity of 473.0 mAh g^(-1) and excellent rate performance of 212.5 mAh g^(-1) at 5.0 A g^(-1).Remarkably,the as-assembled PIHCs show outstanding energy/power density(40.4 Wh kg^(-1)/10500 W kg^(-1))and remain high-capacity retention of 89.15%even cycling 12,000 times.The"Killing Two Birds with One Stone"strategy offers new insight into the search for the preparation of carbon-based materials with multi-elements doping and specific morphology structure.展开更多
Balancing the diversity and convergence of the population is challenging in multi-objective optimization. The work proposed a many-objective evolutionary algorithm based on indicator I_(ε+)(MaOEA/I) to solve the abov...Balancing the diversity and convergence of the population is challenging in multi-objective optimization. The work proposed a many-objective evolutionary algorithm based on indicator I_(ε+)(MaOEA/I) to solve the above problems. Indicator I_(ε+)(x,y) is used for environmental selection to ensure diversity and convergence of the population. I_(ε+)(x,y) can evaluate the quality of individual x compared with individual y instead of the whole population. If I_(ε+)(x,y) is less than 0, individual x dominates y. If I_(ε+)(x,y) is 0, individuals x and y are the same. If I_(ε+)(x,y) is greater than 0, no dominant relationship exists between individuals x and y. The smaller I_(ε+)(x,y), the closer the two individuals. The dominated individuals should be deleted in environmental selection because they do not contribute to convergence. If there is no dominant individual, the same individuals and similar individuals should be deleted because they do not contribute to diversity. Therefore, the environmental selection of MaOEA/I should consider the two individuals with the smallest I_(ε+)(x,y). If I_(ε+)(x,y) is not greater than 0, delete individual y;if I_(ε+)(x,y) is greater than 0, check the distance between individuals x, y, and the target point and delete the individual with a longer distance. MaOEA/I is compared with 6 algorithms until the population does not exceed the population size. Experimental results demonstrate that MaOEA/I can gain highly competitive performance when solving many-objective optimization problems.展开更多
Background:Individualization using different volumes of polyethylene glycol is widely regarded as the optimal solution for bowel preparation,while the patient-directed regimen we propose may serve as a reliable indivi...Background:Individualization using different volumes of polyethylene glycol is widely regarded as the optimal solution for bowel preparation,while the patient-directed regimen we propose may serve as a reliable individual solution.This study aimed to assess the efficacy,safety,and satisfaction of bowel preparation with a patient-directed regimen.Methods:Patients in the fixed-volume group ingested the same amount of PEG,while those in patient-directed group ingested different amount according to stool consistency or stool water content.Results:After filtering by exclusion criteria,428 individuals in the fixed-volume group and 103 in the patient-directed group were successfully enrolled and analyzed.Eighty-three(80.6%)individuals in the patient-directed group had a reduced polyethylene glycol volume.There was no significant difference in the bowel preparation efficacy between the two groups(90.0%vs.90.3%,χ^(2)=0.01;p=0.918).Patients in the patient-directed group complained of fewer adverse effects(53.0%vs.36.9%,χ^(2)=8.655;p=0.003),especially vomiting(13.6%vs.1.0%,χ^(2)=13.304;p<0.001).Regarding comfort during bowel preparation,the degree of comfort was not significantly different between groups.Furthermore,the willingness rate for further colonoscopy in the patient-directed group was significantly higher than that in the fixed-volume group(90.3%vs.77.1%,χ^(2)=8.912;p<0.05).Multivariable logistic regression analysis showed that the body mass index served as an independent factor impacting quality of bowel preparation with the patient-directed regimen(OR 1.16,95%CI 1.00–1.34;p=0.043).Conclusions:Without decreasing the bowel preparation efficacy,the patient-directed regimen increased the safety and satisfaction of bowel preparation and is expected to be a regular and individual solution for bowel preparation.Individuals with a lower body mass index are more likely to undertake this new regimen.展开更多
The geometry of the phase interface in co-continuous piezoelectric composites is critical in improving their piezo-electric properties.However,conventional co-continuous piezoelectric composites are mostly simple stru...The geometry of the phase interface in co-continuous piezoelectric composites is critical in improving their piezo-electric properties.However,conventional co-continuous piezoelectric composites are mostly simple structures such as wood stacks or honeycombs,which are prone to stress concentrations at the joints,thus reducing the fatigue service performance and force-electric conversion efficiency of piezoelectric composites.Such simple structures limit further improvements in the overall performance of co-continuous piezoelectric composites.In this study,based on the digital light processing 3D printing method,we investigated the influence of three dif-ferent structures-the gyroid,diamond,and woodpile interfaces-on the piezoelectric and mechanical properties of co-continuous ceramic/polymer piezoelectric composites.These findings demonstrate that the gyroid and di-amond interfaces outperformed the ceramic skeleton of the woodpile interface in terms of both mechanical and electrical properties.When the ceramic volume percentage was 50%,the piezo-composite of the gyroid surface exhibited the greatest hydrostatic figure of merit(HFOM),reaching 4.23×10^(−12) Pa^(−1),and its piezoelectric coeffi-cient(d_(33))and relative dielectric constant(εr)reached 115 pC/N and 748,respectively.The research results lay the foundation for the application of co-continuous piezoelectric composites in underwater communication and detection.展开更多
Integrating artificial intelligence(AI)into photovoltaic(PV)systems has become a revolutionary approach to improving the efficiency,reliability,and predictability of solar power generation.In this paper,we explore the...Integrating artificial intelligence(AI)into photovoltaic(PV)systems has become a revolutionary approach to improving the efficiency,reliability,and predictability of solar power generation.In this paper,we explore the impact of AI technology on PV power generation systems and its applications from a global perspective.Central to the discussion are the pivotal applications of AI in maximum power point tracking(MPPT),power forecasting,and fault detection within the PV system.On the one hand,the integration with AI technology enables the optimization and improvement of the operational efficiency of PV systems.On the other hand,new challenges have been observed,mainly in the areas of data processing and model management.Moreover,advances in AI technology and hardware upgrades will lead to the rapid global popularization of new energy sources such as solar energy,which is expected to replace traditional energy sources.Finally,we describe forward-looking solutions including transfer learning,few-shot learning,and edge computing,as well as the state of the art.展开更多
基金support of the National Natural Science Foundation of China(51971146 and 51971147)the Shanghai Municipal Science and Technology Commission(21010503100)+4 种基金the Innovation Program of Shanghai Municipal Education Commission(2019-01-07-00-07-E00015)the General Program of Natural Science Foundation of Shanghai(20ZR1438400)the Shanghai Rising-Star Program(20QA1407100)support of Shanghai Outstanding Academic Leaders Planthe Guangxi Key Laboratory of Information Materials(Guilin University of Electronic Technology,201017-K)。
文摘Integrating the merits of long lifespan and excellent energy as well as power densities,potassium-ion hybrid capacitors(PIHCs)exhibit great prospects for future energy storage devices.To boost comprehensive performance of PIHCs,heteroatom-doping and morphology-tuning as two comprehensive strategies have been devoted to designing uniquely structural carbon-based materials with favorable advantages.An ideal strategy for simultaneous atomic doping and structural regulation is expected to be developed.Herein,we propose a novel"Killing Two Birds with One Stone"strategy to prepare a tri-elements doped hollow carbon sphere(TED-HCS)as PIHCs anodes,that is,a single template of spherical CoP particles is rationally adopted,which not only provides both a P source for heteroatom-doping but also acts as a selfsacrificial template for hollow-structure engineering.The multifunctional TED-HCS presents a high capacity of 473.0 mAh g^(-1) and excellent rate performance of 212.5 mAh g^(-1) at 5.0 A g^(-1).Remarkably,the as-assembled PIHCs show outstanding energy/power density(40.4 Wh kg^(-1)/10500 W kg^(-1))and remain high-capacity retention of 89.15%even cycling 12,000 times.The"Killing Two Birds with One Stone"strategy offers new insight into the search for the preparation of carbon-based materials with multi-elements doping and specific morphology structure.
基金Sponsored by the Tianjin Natural Science Foundation(Grant No.22JCZDJC00600)the Tianjin Research Innovation Project for Postgraduate Students(Grant No.2022SKYZ393)。
文摘Balancing the diversity and convergence of the population is challenging in multi-objective optimization. The work proposed a many-objective evolutionary algorithm based on indicator I_(ε+)(MaOEA/I) to solve the above problems. Indicator I_(ε+)(x,y) is used for environmental selection to ensure diversity and convergence of the population. I_(ε+)(x,y) can evaluate the quality of individual x compared with individual y instead of the whole population. If I_(ε+)(x,y) is less than 0, individual x dominates y. If I_(ε+)(x,y) is 0, individuals x and y are the same. If I_(ε+)(x,y) is greater than 0, no dominant relationship exists between individuals x and y. The smaller I_(ε+)(x,y), the closer the two individuals. The dominated individuals should be deleted in environmental selection because they do not contribute to convergence. If there is no dominant individual, the same individuals and similar individuals should be deleted because they do not contribute to diversity. Therefore, the environmental selection of MaOEA/I should consider the two individuals with the smallest I_(ε+)(x,y). If I_(ε+)(x,y) is not greater than 0, delete individual y;if I_(ε+)(x,y) is greater than 0, check the distance between individuals x, y, and the target point and delete the individual with a longer distance. MaOEA/I is compared with 6 algorithms until the population does not exceed the population size. Experimental results demonstrate that MaOEA/I can gain highly competitive performance when solving many-objective optimization problems.
基金supported from the National Natural Science Foundation of China(Grants No.82000521 and 82102797).
文摘Background:Individualization using different volumes of polyethylene glycol is widely regarded as the optimal solution for bowel preparation,while the patient-directed regimen we propose may serve as a reliable individual solution.This study aimed to assess the efficacy,safety,and satisfaction of bowel preparation with a patient-directed regimen.Methods:Patients in the fixed-volume group ingested the same amount of PEG,while those in patient-directed group ingested different amount according to stool consistency or stool water content.Results:After filtering by exclusion criteria,428 individuals in the fixed-volume group and 103 in the patient-directed group were successfully enrolled and analyzed.Eighty-three(80.6%)individuals in the patient-directed group had a reduced polyethylene glycol volume.There was no significant difference in the bowel preparation efficacy between the two groups(90.0%vs.90.3%,χ^(2)=0.01;p=0.918).Patients in the patient-directed group complained of fewer adverse effects(53.0%vs.36.9%,χ^(2)=8.655;p=0.003),especially vomiting(13.6%vs.1.0%,χ^(2)=13.304;p<0.001).Regarding comfort during bowel preparation,the degree of comfort was not significantly different between groups.Furthermore,the willingness rate for further colonoscopy in the patient-directed group was significantly higher than that in the fixed-volume group(90.3%vs.77.1%,χ^(2)=8.912;p<0.05).Multivariable logistic regression analysis showed that the body mass index served as an independent factor impacting quality of bowel preparation with the patient-directed regimen(OR 1.16,95%CI 1.00–1.34;p=0.043).Conclusions:Without decreasing the bowel preparation efficacy,the patient-directed regimen increased the safety and satisfaction of bowel preparation and is expected to be a regular and individual solution for bowel preparation.Individuals with a lower body mass index are more likely to undertake this new regimen.
基金supported by National Key Research and Develop-ment Plan of China(Grant.No.2021YFB3703100)National Natural Science Foundation of China(Grant.No.52202066)+3 种基金Joint Fund of Min-istry of China Education for Pre-Research of Equipment(Grant.No.8091B032105)Hubei High Value Patent Cultivation Project of China(Grant.No.2021pm0012)Wuhan Knowledge Innovation Project-Dawn Plan‘JD’Technology Research Project in Hubei Province of China(2023BAA023).
文摘The geometry of the phase interface in co-continuous piezoelectric composites is critical in improving their piezo-electric properties.However,conventional co-continuous piezoelectric composites are mostly simple structures such as wood stacks or honeycombs,which are prone to stress concentrations at the joints,thus reducing the fatigue service performance and force-electric conversion efficiency of piezoelectric composites.Such simple structures limit further improvements in the overall performance of co-continuous piezoelectric composites.In this study,based on the digital light processing 3D printing method,we investigated the influence of three dif-ferent structures-the gyroid,diamond,and woodpile interfaces-on the piezoelectric and mechanical properties of co-continuous ceramic/polymer piezoelectric composites.These findings demonstrate that the gyroid and di-amond interfaces outperformed the ceramic skeleton of the woodpile interface in terms of both mechanical and electrical properties.When the ceramic volume percentage was 50%,the piezo-composite of the gyroid surface exhibited the greatest hydrostatic figure of merit(HFOM),reaching 4.23×10^(−12) Pa^(−1),and its piezoelectric coeffi-cient(d_(33))and relative dielectric constant(εr)reached 115 pC/N and 748,respectively.The research results lay the foundation for the application of co-continuous piezoelectric composites in underwater communication and detection.
基金supported by the National Key R&D Program of China(No.2022YFE0196100)Fundamental Research Grant Scheme(FRGS)of Malaysia(FRGS/1/2022/TK0/UTAR/02/8)The above two grants are also parked under China-Malaysia Intergovernmental Science,Technology and Innovation Cooperative Programme 2023(offer letter MOSTI.700-2/2/8(39),dated 9 February 2023).
文摘Integrating artificial intelligence(AI)into photovoltaic(PV)systems has become a revolutionary approach to improving the efficiency,reliability,and predictability of solar power generation.In this paper,we explore the impact of AI technology on PV power generation systems and its applications from a global perspective.Central to the discussion are the pivotal applications of AI in maximum power point tracking(MPPT),power forecasting,and fault detection within the PV system.On the one hand,the integration with AI technology enables the optimization and improvement of the operational efficiency of PV systems.On the other hand,new challenges have been observed,mainly in the areas of data processing and model management.Moreover,advances in AI technology and hardware upgrades will lead to the rapid global popularization of new energy sources such as solar energy,which is expected to replace traditional energy sources.Finally,we describe forward-looking solutions including transfer learning,few-shot learning,and edge computing,as well as the state of the art.
