目的:借助网状Meta分析法比较不同运动方式对儿童粗大动作发展的影响效果。方法:检索中国知网(CNKI)、Pubmed、Web of Science、Embase、Cochrane等数据库,筛选运动干预儿童粗大动作的随机对照试验相关文献,检索时间截至2023年12月31日...目的:借助网状Meta分析法比较不同运动方式对儿童粗大动作发展的影响效果。方法:检索中国知网(CNKI)、Pubmed、Web of Science、Embase、Cochrane等数据库,筛选运动干预儿童粗大动作的随机对照试验相关文献,检索时间截至2023年12月31日,运用Cochrane偏倚风险评估工具进行方法学质量评价后,采用Stata 17.0软件进行统计学分析。结果:最终纳入36篇文献,共计3420名参与者。Meta分析结果显示:韵律性体育活动、功能性练习、球类运动、结构化体育课程、体育游戏、基本动作技能练习、有氧运动对儿童身体移动技能的影响显著优于对照组;韵律性体育活动、功能性练习、球类运动、结构化体育课程、体育游戏、基本动作技能练习对儿童物体控制技能的影响显著优于对照组;在提升儿童身体移动技能、物体控制技能方面,结构化体育课程是最为有效的干预措施。展开更多
A dynamic object behavior model based on computational reflection is proposed.This model consists of function level and meta level,the meta objects in meta level manage the base objects and behaviors in function level...A dynamic object behavior model based on computational reflection is proposed.This model consists of function level and meta level,the meta objects in meta level manage the base objects and behaviors in function level,including dynamic binding and unbinding of base object and behavior.We implement this model with RoleJava Language,which is our self linguistic extension of the Java Language.Meta Objects are generated automatically at compile\|time,this makes the reflecton mechanism transparent to programmers.Finally an example applying this model to a banking system is presented.展开更多
This paper is concerned with evolving objects method for software design that can adapt to the changing environments and requirements automatically. We present system architecture with objects library, where there are...This paper is concerned with evolving objects method for software design that can adapt to the changing environments and requirements automatically. We present system architecture with objects library, where there are objects based on domain ontologies. We define some genetic operators for objects, and discuss how to apply these genetic operators on objects to get new objects, which can satisfy new requirements.展开更多
A modified multi-objective particle swarm optimization method is proposed for obtaining Pareto-optimal solutions effectively. Different from traditional multiobjective particle swarm optimization methods, Kriging meta...A modified multi-objective particle swarm optimization method is proposed for obtaining Pareto-optimal solutions effectively. Different from traditional multiobjective particle swarm optimization methods, Kriging meta-models and the trapezoid index are introduced and integrated with the traditional one. Kriging meta-models are built to match expensive or black-box functions. By applying Kriging meta-models, function evaluation numbers are decreased and the boundary Pareto-optimal solutions are identified rapidly. For bi-objective optimization problems, the trapezoid index is calculated as the sum of the trapezoid’s area formed by the Pareto-optimal solutions and one objective axis. It can serve as a measure whether the Pareto-optimal solutions converge to the Pareto front. Illustrative examples indicate that to obtain Paretooptimal solutions, the method proposed needs fewer function evaluations than the traditional multi-objective particle swarm optimization method and the non-dominated sorting genetic algorithm II method, and both the accuracy and the computational efficiency are improved. The proposed method is also applied to the design of a deepwater composite riser example in which the structural performances are calculated by numerical analysis. The design aim was to enhance the tension strength and minimize the cost. Under the buckling constraint, the optimal trade-off of tensile strength and material volume is obtained. The results demonstrated that the proposed method can effec tively deal with multi-objective optimizations with black-box functions.展开更多
This paper deals with the goals and visions of a consortium in Japan, named Consortium for Business Object Promotion (CBOP), discussing its background, activities, and basic technical approaches to share and exchangin...This paper deals with the goals and visions of a consortium in Japan, named Consortium for Business Object Promotion (CBOP), discussing its background, activities, and basic technical approaches to share and exchanging various types of Business Objects. Especially, Object Pattern Technologies used in CBOP should be discussed.展开更多
文摘目的:借助网状Meta分析法比较不同运动方式对儿童粗大动作发展的影响效果。方法:检索中国知网(CNKI)、Pubmed、Web of Science、Embase、Cochrane等数据库,筛选运动干预儿童粗大动作的随机对照试验相关文献,检索时间截至2023年12月31日,运用Cochrane偏倚风险评估工具进行方法学质量评价后,采用Stata 17.0软件进行统计学分析。结果:最终纳入36篇文献,共计3420名参与者。Meta分析结果显示:韵律性体育活动、功能性练习、球类运动、结构化体育课程、体育游戏、基本动作技能练习、有氧运动对儿童身体移动技能的影响显著优于对照组;韵律性体育活动、功能性练习、球类运动、结构化体育课程、体育游戏、基本动作技能练习对儿童物体控制技能的影响显著优于对照组;在提升儿童身体移动技能、物体控制技能方面,结构化体育课程是最为有效的干预措施。
基金Supported by the National Natural Science Foundation of China(60373086)
文摘A dynamic object behavior model based on computational reflection is proposed.This model consists of function level and meta level,the meta objects in meta level manage the base objects and behaviors in function level,including dynamic binding and unbinding of base object and behavior.We implement this model with RoleJava Language,which is our self linguistic extension of the Java Language.Meta Objects are generated automatically at compile\|time,this makes the reflecton mechanism transparent to programmers.Finally an example applying this model to a banking system is presented.
文摘This paper is concerned with evolving objects method for software design that can adapt to the changing environments and requirements automatically. We present system architecture with objects library, where there are objects based on domain ontologies. We define some genetic operators for objects, and discuss how to apply these genetic operators on objects to get new objects, which can satisfy new requirements.
基金supported by the National Natural Science Foundation of China(Grant 11572134)
文摘A modified multi-objective particle swarm optimization method is proposed for obtaining Pareto-optimal solutions effectively. Different from traditional multiobjective particle swarm optimization methods, Kriging meta-models and the trapezoid index are introduced and integrated with the traditional one. Kriging meta-models are built to match expensive or black-box functions. By applying Kriging meta-models, function evaluation numbers are decreased and the boundary Pareto-optimal solutions are identified rapidly. For bi-objective optimization problems, the trapezoid index is calculated as the sum of the trapezoid’s area formed by the Pareto-optimal solutions and one objective axis. It can serve as a measure whether the Pareto-optimal solutions converge to the Pareto front. Illustrative examples indicate that to obtain Paretooptimal solutions, the method proposed needs fewer function evaluations than the traditional multi-objective particle swarm optimization method and the non-dominated sorting genetic algorithm II method, and both the accuracy and the computational efficiency are improved. The proposed method is also applied to the design of a deepwater composite riser example in which the structural performances are calculated by numerical analysis. The design aim was to enhance the tension strength and minimize the cost. Under the buckling constraint, the optimal trade-off of tensile strength and material volume is obtained. The results demonstrated that the proposed method can effec tively deal with multi-objective optimizations with black-box functions.
文摘This paper deals with the goals and visions of a consortium in Japan, named Consortium for Business Object Promotion (CBOP), discussing its background, activities, and basic technical approaches to share and exchanging various types of Business Objects. Especially, Object Pattern Technologies used in CBOP should be discussed.
