RuO_(2) has been considered a potential alternative to commercial IrO_(2) for the oxygen evolution reaction(OER)due to its superior intrinsic activity.However,its inherent structure dissolution in acidic environments ...RuO_(2) has been considered a potential alternative to commercial IrO_(2) for the oxygen evolution reaction(OER)due to its superior intrinsic activity.However,its inherent structure dissolution in acidic environments restricts its commercial applications.In this study,we report a novel Pd-doped ruthenium oxide(Pd–RuO_(2))nanosheet catalyst that exhibits improved activity and stability through a synergistic effect of Pd modulation of Ru electronic structure and the two-dimensional structure.The catalyst exhibits excellent performance,achieving an overpotential of only 204 mVat a current density of 10 mA cm^(-2).Impressively,after undergoing 8000 cycles of cyclic voltammetry testing,the overpotential merely decreased by 5 mV.The PEM electrolyzer with Pd0.08Ru0.92O_(2) as an anode catalyst survived an almost 130 h operation at 200 mA cm^(-2).To elucidate the underlying mechanisms responsible for the enhanced stability,we conducted an X-ray photoelectron spectroscopy(XPS)analysis,which reveals that the electron transfer from Pd to Ru effectively circumvents the over-oxidation of Ru,thus playing a crucial role in enhancing the catalyst's stability.Furthermore,density functional theory(DFT)calculations provide compelling evidence that the introduction of Pd into RuO_(2) effectively modulates electron correlations and facilitates the electron transfer from Pd to Ru,thereby preventing the overoxidation of Ru.Additionally,the application of the two-dimensional structure effectively inhibited the aggregation and growth of nanoparticles,further bolstering the structural integrity of the catalyst.展开更多
Data sharing and privacy securing present extensive opportunities and challenges in vehicular network.This paper introducestrust access authentication scheme’as a mechanism to achieve real-time monitoring and promote...Data sharing and privacy securing present extensive opportunities and challenges in vehicular network.This paper introducestrust access authentication scheme’as a mechanism to achieve real-time monitoring and promote collaborative sharing for vehicles.Blockchain,which can provide secure authentication and protected privacy,is a crucial technology.However,traditional cloud computing performs poorly in supplying low-latency and fast-response services for moving vehicles.In this situation,edge computing enabled Blockchain network appeals to be a promising method,where moving vehicles can access storage or computing resource and get authenticated from Blockchain edge nodes directly.In this paper,a hierarchical architecture is proposed consist of vehicular network layer,Blockchain edge layer and Blockchain network layer.Through a authentication mechanism adopting digital signature algorithm,it achieves trusted authentication and ensures valid verification.Moreover,a caching scheme based on many-to-many matching is proposed to minimize average delivery delay of vehicles.Simulation results prove that the proposed caching scheme has a better performance than existing schemes based on central-ized model or edge caching strategy in terms of hit ratio and average delay.展开更多
In order to change the distributed status of the meteorological service platform,based on the integration of the self-built service platforms including meteorology,climate,observation and service,National Meteorologic...In order to change the distributed status of the meteorological service platform,based on the integration of the self-built service platforms including meteorology,climate,observation and service,National Meteorological Information Center( NMIC) constructs National Meteorological Service Platform( NMSP). NMSP is a unified national meteorological service platform to provide browsing,searching and displaying of observation,weather forecasting,warning information,historical climate data and network information. NMSP uses the MVC design pattern.For adapting the characteristics of meteorological application,above J2 EE application framework( Struts + Spring + Hibernate),NMSP encapsulates data exchange module which improves flexibility and efficiency of the system development. On March 2015,NMSP( version 2. 0)has been on operational running,which covers six core sections,nearly 100 sub-modules,2000 kinds of service products. It plays an effective supporting role on various types of meteorological service.展开更多
Bi- and Cu-substituted Ca3Co4O9 samples were prepared by conventional solid-state reaction method and the effect of element substitution on the microstructures and thermoelectric properties was investigated. Partial s...Bi- and Cu-substituted Ca3Co4O9 samples were prepared by conventional solid-state reaction method and the effect of element substitution on the microstructures and thermoelectric properties was investigated. Partial substitution of Cu for Co leads to an increase in electrical conductivity and a decrease in Seebeck coefficient due to the rise of hole concentration. The microstructure of Cu-substituted sample is almost unchanged compared with undoped Ca3Co4O9. On the other hand, partial substitution of Bi for Ca gives rise to a significant increase in the grain size, and c-axis-oriented structure can be formed in Ca2.7Bi0.3Co4O9, resulting in an obvious increase in electrical conductivity. Cu and Bi co-substitution further increases the grain growth and the electrical conductivity of Ca2.7Bi0.3Co3.7Cu0.3O9. Thus, Cu and Bi co-substitution samples possess the optimal thermoelectric performance at high temperature and the highest value of power factor can reach 3.1×10^-4 Wm^-1.K^-2 at 1000 K.展开更多
Hundreds of images with the same polarization state are first registered to compensate for the jitters during an observation and then integrated to realize the needed spatial resolution and sensitivity for solar magne...Hundreds of images with the same polarization state are first registered to compensate for the jitters during an observation and then integrated to realize the needed spatial resolution and sensitivity for solar magnetic field measurement. Due to the feature dependent properties of the correlation tracker technique, an effective method to select the feature region is critical for low-resolution full-disk solar filtergrams, especially those with less significant features when the Sun is quiet. In this paper, we propose a region extraction method based on a Hessian matrix and information entropy constraints for local correlation tracking(CT) to get linear displacement between different images. The method is composed of three steps:(1) extract feature points with the Hessian matrix,(2)select good feature points with scale spaces and thresholds, and(3) locate the feature region with the twodimensional information entropy constraints. Both the simulated and observational experiments demonstrated that our region selection method can efficiently detect the linear displacement and improve the quality of a groundbased full-disk solar magnetogram. The local CT with the selected regions can obtain displacement detection results as good as the global CT and at the same time significantly reduce the average calculation time.展开更多
Objective: To analyze postoperative therapeutic effects of patients with fractured anterior cruciate ligament (ACL) that underwent autologous tendon reconstruction at early and late period. Methods: A total of 60 pati...Objective: To analyze postoperative therapeutic effects of patients with fractured anterior cruciate ligament (ACL) that underwent autologous tendon reconstruction at early and late period. Methods: A total of 60 patients underwent autologous tendon reconstruction were enrolled and retrospectively analyzed via arthroscopes from December, 2015 to December, 2017 in our hospital, in which 30 patients treated with ACL reconstruction within 6 weeks of injury were selected as the early reconstruction group (Group A), and the other 30 cases with ACL reconstruction between 6 weeks and 6 months were as late reconstruction group (Group B);the therapeutic effect of early and late ACL reconstruction was analyzed by recording and comparing of several indexes, such as knee lysholm score, knee IKDC score, intraoperative hemorrhage, operation time, pre- and post-operative range of motion (ROM) of the knee, etc. Results: The pre- and post-operative lysholm scores and IKDC scores were compared between the two groups, without statistically significant results (P > 0.05). The knee ROM scores of the late reconstruction group were higher than those of the early group (P < 0.05), and the intraoperative blood loss in the late stage was less than that in the early group (P < 0.05), which exhibits that the short-term clinical efficacy of early and late arthroscopic autologous tendon reconstruction for knee ACL injury was similar, but the late reconstruction group was with less intraoperative bleeding, and better postoperative joint mobility recovery;in conclusion, it is recommended that patients can be operated between 6 weeks and 6 months after injury.展开更多
This paper addresses how different urban planning systems play their role in the development of cities,and how this directly affects the role and status of urban planning in social construction,and how to determine th...This paper addresses how different urban planning systems play their role in the development of cities,and how this directly affects the role and status of urban planning in social construction,and how to determine the social awareness of urban planning.By contrasting and defining the challenges and advantages of the regulatory,discretionary and hybrid urban planning systems,as well as examining the potential possibilities of each system,which system is more effective will become apparent.Therefore,planning and policy implementation can be more extensive and special.At the same time,a sound planning system can form relevant information feedback to propose amendments and adjustment methods for the city's planning content and policy and planning operation,which comply with the objective requirements of urban development.展开更多
Microsized bismuth(Bi)with in-situ constructed three-dimensional(3D)porous network has been considered as a promising anode for high-performance potassium-ion batteries(PIBs).However,the mechanism of the in-situ porou...Microsized bismuth(Bi)with in-situ constructed three-dimensional(3D)porous network has been considered as a promising anode for high-performance potassium-ion batteries(PIBs).However,the mechanism of the in-situ porous evolution of microsized Bi during the charge/discharge process is still mysterious.Herein,various electrolytes are employed to disclose the origin of porous evolution of microsized Bi in PIBs.Experimentally and theoretically,the 3D porous network originates from the uniform interfacial charge distribution on the Bi surface in the linear ether-based electrolyte.In addition,the universality of the interfacial charge distribution mechanism was verified by microsized Sn and Sb.The in-situ constructed 3D porous network of Bi enables a superior potassium storage performance in a wide temperature range from-40 to 40℃.More importantly,the K_(0.9)Mn_(0.7)Ni_(0.3)O_(2)||Bi full cell delivers excellent cycling stability(a high capacity retention of 88.44%even after 2,000 cycles)and good temperature tolerance.This work gives a distinct clarification of the origin of the porous evolution of microsized Bi during cycling,which is critical for developing high-performance PIBs.展开更多
Wind-driven rain(WDR)has a significant influence on the hygrothermal performance,durability,and energy consumption of building components.The calculation of WDR loads using semi-empirical models has been incorporated ...Wind-driven rain(WDR)has a significant influence on the hygrothermal performance,durability,and energy consumption of building components.The calculation of WDR loads using semi-empirical models has been incorporated into the boundary conditions of coupled heat and moisture transfer models.However,prior research often relied on fixed WDR absorption ratio,which fail to accurately capture the water absorption characteristics of porous building materials under rainfall scenarios.Therefore,this study aims to investigate the coupled heat and moisture transfer of exterior walls under dynamic WDR boundary conditions,utilizing an empirically obtained WDR absorption ratio model based on field measurements.The developed coupled heat and moisture transfer model is validated against the HAMSTAD project.The findings reveal that the total WDR flux calculated with the dynamic WDR boundary is lower than that obtained with the fixed WDR boundary,with greater disparities observed in orientations experiencing higher WDR loads.The variations in moisture flow significantly impact the surface temperature and relative humidity of the walls,influencing the calculation of cooling and heating loads by different models.Compared to the transient heat transfer model,the coupled heat and moisture transfer model incorporating dynamic WDR boundary exhibits maximum increases of 17.6%and 16.2%in cooling and heating loads,respectively.The dynamic WDR boundary conditions provide more precise numerical values for surface moisture flux,offering valuable insights for the thermal design of building enclosures and load calculations for HVAC systems.展开更多
Dynamic neural network(NN)techniques are increasingly important because they facilitate deep learning techniques with more complex network architectures.However,existing studies,which predominantly optimize the static...Dynamic neural network(NN)techniques are increasingly important because they facilitate deep learning techniques with more complex network architectures.However,existing studies,which predominantly optimize the static computational graphs by static scheduling methods,usually focus on optimizing static neural networks in deep neural network(DNN)accelerators.We analyze the execution process of dynamic neural networks and observe that dynamic features introduce challenges for efficient scheduling and pipelining in existing DNN accelerators.We propose DyPipe,a holistic approach to optimizing dynamic neural network inferences in enhanced DNN accelerators.DyPipe achieves significant performance improvements for dynamic neural networks while it introduces negligible overhead for static neural networks.Our evaluation demonstrates that DyPipe achieves 1.7x speedup on dynamic neural networks and maintains more than 96%performance for static neural networks.展开更多
基金supported by the National Natural Science Foundation of China(No.22209035)the Major Science and Technology Projects of Yunnan Province(No.202302AH360001)the Natural Science Foundation of Hebei Province(No.E2020202091).
文摘RuO_(2) has been considered a potential alternative to commercial IrO_(2) for the oxygen evolution reaction(OER)due to its superior intrinsic activity.However,its inherent structure dissolution in acidic environments restricts its commercial applications.In this study,we report a novel Pd-doped ruthenium oxide(Pd–RuO_(2))nanosheet catalyst that exhibits improved activity and stability through a synergistic effect of Pd modulation of Ru electronic structure and the two-dimensional structure.The catalyst exhibits excellent performance,achieving an overpotential of only 204 mVat a current density of 10 mA cm^(-2).Impressively,after undergoing 8000 cycles of cyclic voltammetry testing,the overpotential merely decreased by 5 mV.The PEM electrolyzer with Pd0.08Ru0.92O_(2) as an anode catalyst survived an almost 130 h operation at 200 mA cm^(-2).To elucidate the underlying mechanisms responsible for the enhanced stability,we conducted an X-ray photoelectron spectroscopy(XPS)analysis,which reveals that the electron transfer from Pd to Ru effectively circumvents the over-oxidation of Ru,thus playing a crucial role in enhancing the catalyst's stability.Furthermore,density functional theory(DFT)calculations provide compelling evidence that the introduction of Pd into RuO_(2) effectively modulates electron correlations and facilitates the electron transfer from Pd to Ru,thereby preventing the overoxidation of Ru.Additionally,the application of the two-dimensional structure effectively inhibited the aggregation and growth of nanoparticles,further bolstering the structural integrity of the catalyst.
基金support by Research on Key Technologies of Dynamically Secure Identity Authentication and Risk Control of Power Business in the Science and Technology Project of State Grid Electric Power Company(No.5204XA19003F)National Natural Science Foundation of China(Grant No.601702048)
文摘Data sharing and privacy securing present extensive opportunities and challenges in vehicular network.This paper introducestrust access authentication scheme’as a mechanism to achieve real-time monitoring and promote collaborative sharing for vehicles.Blockchain,which can provide secure authentication and protected privacy,is a crucial technology.However,traditional cloud computing performs poorly in supplying low-latency and fast-response services for moving vehicles.In this situation,edge computing enabled Blockchain network appeals to be a promising method,where moving vehicles can access storage or computing resource and get authenticated from Blockchain edge nodes directly.In this paper,a hierarchical architecture is proposed consist of vehicular network layer,Blockchain edge layer and Blockchain network layer.Through a authentication mechanism adopting digital signature algorithm,it achieves trusted authentication and ensures valid verification.Moreover,a caching scheme based on many-to-many matching is proposed to minimize average delivery delay of vehicles.Simulation results prove that the proposed caching scheme has a better performance than existing schemes based on central-ized model or edge caching strategy in terms of hit ratio and average delay.
基金Supported by Meteorological Protection Project of China Meteorological Administration for Mountain Flood and Geological Disaster Prevention in 2015
文摘In order to change the distributed status of the meteorological service platform,based on the integration of the self-built service platforms including meteorology,climate,observation and service,National Meteorological Information Center( NMIC) constructs National Meteorological Service Platform( NMSP). NMSP is a unified national meteorological service platform to provide browsing,searching and displaying of observation,weather forecasting,warning information,historical climate data and network information. NMSP uses the MVC design pattern.For adapting the characteristics of meteorological application,above J2 EE application framework( Struts + Spring + Hibernate),NMSP encapsulates data exchange module which improves flexibility and efficiency of the system development. On March 2015,NMSP( version 2. 0)has been on operational running,which covers six core sections,nearly 100 sub-modules,2000 kinds of service products. It plays an effective supporting role on various types of meteorological service.
基金supported by the Foundation for University Key Teacher of Henan Province, China (2008136)Doctoral Fund of Henan Institute of Engineering(D2007011), China
文摘Bi- and Cu-substituted Ca3Co4O9 samples were prepared by conventional solid-state reaction method and the effect of element substitution on the microstructures and thermoelectric properties was investigated. Partial substitution of Cu for Co leads to an increase in electrical conductivity and a decrease in Seebeck coefficient due to the rise of hole concentration. The microstructure of Cu-substituted sample is almost unchanged compared with undoped Ca3Co4O9. On the other hand, partial substitution of Bi for Ca gives rise to a significant increase in the grain size, and c-axis-oriented structure can be formed in Ca2.7Bi0.3Co4O9, resulting in an obvious increase in electrical conductivity. Cu and Bi co-substitution further increases the grain growth and the electrical conductivity of Ca2.7Bi0.3Co3.7Cu0.3O9. Thus, Cu and Bi co-substitution samples possess the optimal thermoelectric performance at high temperature and the highest value of power factor can reach 3.1×10^-4 Wm^-1.K^-2 at 1000 K.
基金supported by the National Natural Science Foundation of China (NSFC, Grant Nos. 11427901, 11873062, 12003051, 11973056, 12073040 and 12173049)the National Key R&D Program of China (2021YFA1600500)the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant Nos. XDA15320102 and XDA15320302)。
文摘Hundreds of images with the same polarization state are first registered to compensate for the jitters during an observation and then integrated to realize the needed spatial resolution and sensitivity for solar magnetic field measurement. Due to the feature dependent properties of the correlation tracker technique, an effective method to select the feature region is critical for low-resolution full-disk solar filtergrams, especially those with less significant features when the Sun is quiet. In this paper, we propose a region extraction method based on a Hessian matrix and information entropy constraints for local correlation tracking(CT) to get linear displacement between different images. The method is composed of three steps:(1) extract feature points with the Hessian matrix,(2)select good feature points with scale spaces and thresholds, and(3) locate the feature region with the twodimensional information entropy constraints. Both the simulated and observational experiments demonstrated that our region selection method can efficiently detect the linear displacement and improve the quality of a groundbased full-disk solar magnetogram. The local CT with the selected regions can obtain displacement detection results as good as the global CT and at the same time significantly reduce the average calculation time.
文摘Objective: To analyze postoperative therapeutic effects of patients with fractured anterior cruciate ligament (ACL) that underwent autologous tendon reconstruction at early and late period. Methods: A total of 60 patients underwent autologous tendon reconstruction were enrolled and retrospectively analyzed via arthroscopes from December, 2015 to December, 2017 in our hospital, in which 30 patients treated with ACL reconstruction within 6 weeks of injury were selected as the early reconstruction group (Group A), and the other 30 cases with ACL reconstruction between 6 weeks and 6 months were as late reconstruction group (Group B);the therapeutic effect of early and late ACL reconstruction was analyzed by recording and comparing of several indexes, such as knee lysholm score, knee IKDC score, intraoperative hemorrhage, operation time, pre- and post-operative range of motion (ROM) of the knee, etc. Results: The pre- and post-operative lysholm scores and IKDC scores were compared between the two groups, without statistically significant results (P > 0.05). The knee ROM scores of the late reconstruction group were higher than those of the early group (P < 0.05), and the intraoperative blood loss in the late stage was less than that in the early group (P < 0.05), which exhibits that the short-term clinical efficacy of early and late arthroscopic autologous tendon reconstruction for knee ACL injury was similar, but the late reconstruction group was with less intraoperative bleeding, and better postoperative joint mobility recovery;in conclusion, it is recommended that patients can be operated between 6 weeks and 6 months after injury.
文摘This paper addresses how different urban planning systems play their role in the development of cities,and how this directly affects the role and status of urban planning in social construction,and how to determine the social awareness of urban planning.By contrasting and defining the challenges and advantages of the regulatory,discretionary and hybrid urban planning systems,as well as examining the potential possibilities of each system,which system is more effective will become apparent.Therefore,planning and policy implementation can be more extensive and special.At the same time,a sound planning system can form relevant information feedback to propose amendments and adjustment methods for the city's planning content and policy and planning operation,which comply with the objective requirements of urban development.
基金supported by the National Natural Science Foundation of China(No.22005082,52202286)Natural Science Foundation of Hebei Province(No.B2020202065)+2 种基金the Special Project of Local Science and Technology Development Guided by the Central Government of China(226Z4402G)Science Research Project of Hebei Education Department(No.QN2020209,CXY2024036)Basic Research Project of Wenzhou City(G20220016)。
文摘Microsized bismuth(Bi)with in-situ constructed three-dimensional(3D)porous network has been considered as a promising anode for high-performance potassium-ion batteries(PIBs).However,the mechanism of the in-situ porous evolution of microsized Bi during the charge/discharge process is still mysterious.Herein,various electrolytes are employed to disclose the origin of porous evolution of microsized Bi in PIBs.Experimentally and theoretically,the 3D porous network originates from the uniform interfacial charge distribution on the Bi surface in the linear ether-based electrolyte.In addition,the universality of the interfacial charge distribution mechanism was verified by microsized Sn and Sb.The in-situ constructed 3D porous network of Bi enables a superior potassium storage performance in a wide temperature range from-40 to 40℃.More importantly,the K_(0.9)Mn_(0.7)Ni_(0.3)O_(2)||Bi full cell delivers excellent cycling stability(a high capacity retention of 88.44%even after 2,000 cycles)and good temperature tolerance.This work gives a distinct clarification of the origin of the porous evolution of microsized Bi during cycling,which is critical for developing high-performance PIBs.
基金The work described in this paper was financially supported by the Shanghai Municipality Natural Science Foundation(No.21ZR1434400).
文摘Wind-driven rain(WDR)has a significant influence on the hygrothermal performance,durability,and energy consumption of building components.The calculation of WDR loads using semi-empirical models has been incorporated into the boundary conditions of coupled heat and moisture transfer models.However,prior research often relied on fixed WDR absorption ratio,which fail to accurately capture the water absorption characteristics of porous building materials under rainfall scenarios.Therefore,this study aims to investigate the coupled heat and moisture transfer of exterior walls under dynamic WDR boundary conditions,utilizing an empirically obtained WDR absorption ratio model based on field measurements.The developed coupled heat and moisture transfer model is validated against the HAMSTAD project.The findings reveal that the total WDR flux calculated with the dynamic WDR boundary is lower than that obtained with the fixed WDR boundary,with greater disparities observed in orientations experiencing higher WDR loads.The variations in moisture flow significantly impact the surface temperature and relative humidity of the walls,influencing the calculation of cooling and heating loads by different models.Compared to the transient heat transfer model,the coupled heat and moisture transfer model incorporating dynamic WDR boundary exhibits maximum increases of 17.6%and 16.2%in cooling and heating loads,respectively.The dynamic WDR boundary conditions provide more precise numerical values for surface moisture flux,offering valuable insights for the thermal design of building enclosures and load calculations for HVAC systems.
基金supported by the Beijing Natural Science Foundation under Grant No.JQ18013the National Natural Science Foundation of China under Grant Nos.61925208,61732007,61732002 and 61906179+1 种基金the Strategic Priority Research Program of Chinese Academy of Sciences(CAS)under Grant No.XDB32050200the Youth Innovation Promotion Association CAS,Beijing Academy of Artificial Intelligence(BAAI)and Xplore Prize.
文摘Dynamic neural network(NN)techniques are increasingly important because they facilitate deep learning techniques with more complex network architectures.However,existing studies,which predominantly optimize the static computational graphs by static scheduling methods,usually focus on optimizing static neural networks in deep neural network(DNN)accelerators.We analyze the execution process of dynamic neural networks and observe that dynamic features introduce challenges for efficient scheduling and pipelining in existing DNN accelerators.We propose DyPipe,a holistic approach to optimizing dynamic neural network inferences in enhanced DNN accelerators.DyPipe achieves significant performance improvements for dynamic neural networks while it introduces negligible overhead for static neural networks.Our evaluation demonstrates that DyPipe achieves 1.7x speedup on dynamic neural networks and maintains more than 96%performance for static neural networks.