目的基于文献计量学方法对2012—2022年国内外青少年体育健康促进的研究现状和研究热点进行分析。方法基于Web of Science核心合集和CNKI数据库检索青少年健康促进相关文献,采用CiteSpace5.8.R3进行可视化分析,对国内外青少年体育健康...目的基于文献计量学方法对2012—2022年国内外青少年体育健康促进的研究现状和研究热点进行分析。方法基于Web of Science核心合集和CNKI数据库检索青少年健康促进相关文献,采用CiteSpace5.8.R3进行可视化分析,对国内外青少年体育健康促进的发文特征、研究热点、关键词聚类和关键词突显进行对比分析。结果共检索到相关文献8575篇。国外研究前沿聚焦于现代信息技术助力青少年健康发展、青少年身体活动与健康自我测评体系等方面。国内研究热点为体育政策与青少年健康促进、校内外体育健康促进一体化,国内研究前沿聚焦于体教融合引领下的青少年体育健康发展、冰雪运动与青少年健康协同发展、以体育为导向的青少年健康教育。结论通过分析国内外青少年体育健康促进相关研究,结合我国实际,提出了强化“家、校、社”三位一体健康治理效能、建立数字化青少年体育健康促进管理模式、优化青少年体育健康促进评价与反馈机制的青少年体育健康促进策略。展开更多
One of the challenges still pending in string theory and other particle physics related fields is the accurate prediction of the masses of the elementary particles defined in the standard model. In this paper an origi...One of the challenges still pending in string theory and other particle physics related fields is the accurate prediction of the masses of the elementary particles defined in the standard model. In this paper an original algorithm to assign graphs to each of these particles is proposed. Based on this mapping, we demonstrate that certain indices associated with the topology of the graph (graph theoretical indices) are very effective in predicting the masses of the particles. Specifically, the spectral moments of the graph adjacency matrix weighted by edge degrees play a key role in the excellent correlations found. Moreover, the same topological pattern is found in other well known quantum systems such as the particle in a box and the vibrational frequencies of diatomic molecules, such as hydrogen. The results shown here open a suggestive pathway for the use of graph-theoretical approaches in predicting properties of elementary particles and other physical systems, which seem to match similar topological patterns.展开更多
Deep simulations have gained widespread attention owing to their excellent acceleration performances.However,these methods cannot provide effective collision detection and response strategies.We propose a deep interac...Deep simulations have gained widespread attention owing to their excellent acceleration performances.However,these methods cannot provide effective collision detection and response strategies.We propose a deep interac-tive physical simulation framework that can effectively address tool-object collisions.The framework can predict the dynamic information by considering the collision state.In particular,the graph neural network is chosen as the base model,and a collision-aware recursive regression module is introduced to update the network parameters recursively using interpenetration distances calculated from the vertex-face and edge-edge tests.Additionally,a novel self-supervised collision term is introduced to provide a more compact collision response.This study extensively evaluates the proposed method and shows that it effectively reduces interpenetration artifacts while ensuring high simulation efficiency.展开更多
The enhanced definition of Mechatronics involves the four underlying characteristics of integrated,unified,unique,and systematic approaches.In this realm,Mechatronics is not limited to electro-mechanical systems,in th...The enhanced definition of Mechatronics involves the four underlying characteristics of integrated,unified,unique,and systematic approaches.In this realm,Mechatronics is not limited to electro-mechanical systems,in the multi-physics sense,but involves other physical domains such as fluid and thermal.This paper summarizes the mechatronic approach to modeling.Linear graphs facilitate the development of state-space models of mechatronic systems,through this approach.The use of linear graphs in mechatronic modeling is outlined and an illustrative example of sound system modeling is given.Both time-domain and frequency-domain approaches are presented for the use of linear graphs.A mechatronic model of a multi-physics system may be simplified by converting all the physical domains into an equivalent single-domain system that is entirely in the output domain of the system.This approach of converting(transforming)physical domains is presented.An illustrative example of a pressure-controlled hydraulic actuator system that operates a mechanical load is given.展开更多
为了探究最近10年幼儿体质健康影响因素研究的进展,以2012—2021年Web of Science数据库收录的文献作为资料来源,运用“Cite Space V”(5.8.R1)对国际幼儿体质健康研究的1077篇文献进行可视化分析,主要对影响幼儿体质健康的各种因素进...为了探究最近10年幼儿体质健康影响因素研究的进展,以2012—2021年Web of Science数据库收录的文献作为资料来源,运用“Cite Space V”(5.8.R1)对国际幼儿体质健康研究的1077篇文献进行可视化分析,主要对影响幼儿体质健康的各种因素进行分析,并在此基础上构建影响幼儿体质健康的生态系统模型。结果:微系统中的幼儿体质健康的影响因素包括年龄、性别、体质健康状况、身体活动水平等个体因素,以及家庭、幼儿园、社区等环境因素;中系统中的家庭、幼儿园、社区等的交互作用与幼儿体质健康密切相关;外系统中的家庭经济状况、父母受教育程度、父母工作单位及宏系统中的社会背景、国家政策与法规、项目计划等对幼儿的体质健康产生间接影响。未来的研究应进一步探究幼儿体质健康影响因素,深入分析各系统的互动及其机制,为幼儿体质健康的有效干预积累更丰富的理论和实证依据。展开更多
城市体检是协助城市规划、治理与决策的关键手段,因此对城市体检研究进展的梳理与总结十分必要。基于中国知网(CNKI)和Web of Science(WOS)数据库,筛选出1402篇与城市体检相关的文献,利用CiteSpace软件绘制知识图谱,分析探讨了城市体检...城市体检是协助城市规划、治理与决策的关键手段,因此对城市体检研究进展的梳理与总结十分必要。基于中国知网(CNKI)和Web of Science(WOS)数据库,筛选出1402篇与城市体检相关的文献,利用CiteSpace软件绘制知识图谱,分析探讨了城市体检研究进展及趋势。结果表明:1990~2022年,城市体检主题的总发文量呈上升趋势,WOS文献占比96.29%,CNKI文献仅占3.71%。国外研究始于1990年,国内研究起步相对较晚。国外研究机构集中分布于英国和美国,国内机构主要分布在北京。英国研究图书馆、北京市城市规划设计研究院和中国科学院地理科学与资源研究所的发文量位居前三。人居环境和人类健康是研究热点,其次是城市治理评估与城市规划设计。国内外高频引文中,以城市体检评估方法和体系为主题的文献居多。大数据和人工智能支持下的城市体检研究备受关注,未来研究将趋向精细化和智能化。展开更多
文摘目的基于文献计量学方法对2012—2022年国内外青少年体育健康促进的研究现状和研究热点进行分析。方法基于Web of Science核心合集和CNKI数据库检索青少年健康促进相关文献,采用CiteSpace5.8.R3进行可视化分析,对国内外青少年体育健康促进的发文特征、研究热点、关键词聚类和关键词突显进行对比分析。结果共检索到相关文献8575篇。国外研究前沿聚焦于现代信息技术助力青少年健康发展、青少年身体活动与健康自我测评体系等方面。国内研究热点为体育政策与青少年健康促进、校内外体育健康促进一体化,国内研究前沿聚焦于体教融合引领下的青少年体育健康发展、冰雪运动与青少年健康协同发展、以体育为导向的青少年健康教育。结论通过分析国内外青少年体育健康促进相关研究,结合我国实际,提出了强化“家、校、社”三位一体健康治理效能、建立数字化青少年体育健康促进管理模式、优化青少年体育健康促进评价与反馈机制的青少年体育健康促进策略。
文摘One of the challenges still pending in string theory and other particle physics related fields is the accurate prediction of the masses of the elementary particles defined in the standard model. In this paper an original algorithm to assign graphs to each of these particles is proposed. Based on this mapping, we demonstrate that certain indices associated with the topology of the graph (graph theoretical indices) are very effective in predicting the masses of the particles. Specifically, the spectral moments of the graph adjacency matrix weighted by edge degrees play a key role in the excellent correlations found. Moreover, the same topological pattern is found in other well known quantum systems such as the particle in a box and the vibrational frequencies of diatomic molecules, such as hydrogen. The results shown here open a suggestive pathway for the use of graph-theoretical approaches in predicting properties of elementary particles and other physical systems, which seem to match similar topological patterns.
基金This project was funded by Natural Science Foundation of Guangdong Province,No.2020B010165004。
文摘Deep simulations have gained widespread attention owing to their excellent acceleration performances.However,these methods cannot provide effective collision detection and response strategies.We propose a deep interac-tive physical simulation framework that can effectively address tool-object collisions.The framework can predict the dynamic information by considering the collision state.In particular,the graph neural network is chosen as the base model,and a collision-aware recursive regression module is introduced to update the network parameters recursively using interpenetration distances calculated from the vertex-face and edge-edge tests.Additionally,a novel self-supervised collision term is introduced to provide a more compact collision response.This study extensively evaluates the proposed method and shows that it effectively reduces interpenetration artifacts while ensuring high simulation efficiency.
基金supported by research grants from the Natural Sciences and Engineering Research Council(NSERC)of Canada
文摘The enhanced definition of Mechatronics involves the four underlying characteristics of integrated,unified,unique,and systematic approaches.In this realm,Mechatronics is not limited to electro-mechanical systems,in the multi-physics sense,but involves other physical domains such as fluid and thermal.This paper summarizes the mechatronic approach to modeling.Linear graphs facilitate the development of state-space models of mechatronic systems,through this approach.The use of linear graphs in mechatronic modeling is outlined and an illustrative example of sound system modeling is given.Both time-domain and frequency-domain approaches are presented for the use of linear graphs.A mechatronic model of a multi-physics system may be simplified by converting all the physical domains into an equivalent single-domain system that is entirely in the output domain of the system.This approach of converting(transforming)physical domains is presented.An illustrative example of a pressure-controlled hydraulic actuator system that operates a mechanical load is given.
文摘为了探究最近10年幼儿体质健康影响因素研究的进展,以2012—2021年Web of Science数据库收录的文献作为资料来源,运用“Cite Space V”(5.8.R1)对国际幼儿体质健康研究的1077篇文献进行可视化分析,主要对影响幼儿体质健康的各种因素进行分析,并在此基础上构建影响幼儿体质健康的生态系统模型。结果:微系统中的幼儿体质健康的影响因素包括年龄、性别、体质健康状况、身体活动水平等个体因素,以及家庭、幼儿园、社区等环境因素;中系统中的家庭、幼儿园、社区等的交互作用与幼儿体质健康密切相关;外系统中的家庭经济状况、父母受教育程度、父母工作单位及宏系统中的社会背景、国家政策与法规、项目计划等对幼儿的体质健康产生间接影响。未来的研究应进一步探究幼儿体质健康影响因素,深入分析各系统的互动及其机制,为幼儿体质健康的有效干预积累更丰富的理论和实证依据。
文摘城市体检是协助城市规划、治理与决策的关键手段,因此对城市体检研究进展的梳理与总结十分必要。基于中国知网(CNKI)和Web of Science(WOS)数据库,筛选出1402篇与城市体检相关的文献,利用CiteSpace软件绘制知识图谱,分析探讨了城市体检研究进展及趋势。结果表明:1990~2022年,城市体检主题的总发文量呈上升趋势,WOS文献占比96.29%,CNKI文献仅占3.71%。国外研究始于1990年,国内研究起步相对较晚。国外研究机构集中分布于英国和美国,国内机构主要分布在北京。英国研究图书馆、北京市城市规划设计研究院和中国科学院地理科学与资源研究所的发文量位居前三。人居环境和人类健康是研究热点,其次是城市治理评估与城市规划设计。国内外高频引文中,以城市体检评估方法和体系为主题的文献居多。大数据和人工智能支持下的城市体检研究备受关注,未来研究将趋向精细化和智能化。
