本研究以"正念-接受-觉悟-投入(MAIC)"训练程序为指导,对GD省花样游泳队运动员进行正念训练,帮助其解决赛前心理困扰,提高运动表现水平,同时检验MAIC的干预效果。研究采用多重基线水平的ABA单被试实验设计,对6名GD省花样游泳...本研究以"正念-接受-觉悟-投入(MAIC)"训练程序为指导,对GD省花样游泳队运动员进行正念训练,帮助其解决赛前心理困扰,提高运动表现水平,同时检验MAIC的干预效果。研究采用多重基线水平的ABA单被试实验设计,对6名GD省花样游泳运动员(平均年龄19.33岁,平均训练10.5年)进行为期4个月的心理干预。使用五维度正念问卷(FFMQ)、WT-注意力测试软件和运动员训练质量记录表为测量工具,对被试的心理水平和运动表现水平进行测量。采用视觉化检验(visual analysis)和效果量NAP(Nonoverlap of All Pairs)对实验数据进行分析。干预结束后1个月请2位教练员和6名被试运动员回答《实践评估问卷》以进行社会效度评价。随着干预进行,6名被试的正念水平、注意力水平和运动表现水平均有所提高,社会效度评价支持了干预效果。结果显示,MAIC具有良好的干预效果,可帮助花样游泳运动员提高运动表现水平。展开更多
It is well known that the Two-step Weighted Least-Squares(TWLS) is a widely used method for source localization and sensor position refinement. For this reason, we propose a unified framework of the TWLS method for jo...It is well known that the Two-step Weighted Least-Squares(TWLS) is a widely used method for source localization and sensor position refinement. For this reason, we propose a unified framework of the TWLS method for joint estimation of multiple disjoint sources and sensor locations in this paper. Unlike some existing works, the presented method is based on more general measurement model, and therefore it can be applied to many different localization scenarios.Besides, it does not have the initialization and local convergence problem. The closed-form expression for the covariance matrix of the proposed TWLS estimator is also derived by exploiting the first-order perturbation analysis. Moreover, the estimation accuracy of the TWLS method is shown analytically to achieve the Cramér-Rao Bound(CRB) before the threshold effect takes place. The theoretical analysis is also performed in a common mathematical framework, rather than aiming at some specific signal metrics. Finally, two numerical experiments are performed to support the theoretical development in this paper.展开更多
文摘本研究以"正念-接受-觉悟-投入(MAIC)"训练程序为指导,对GD省花样游泳队运动员进行正念训练,帮助其解决赛前心理困扰,提高运动表现水平,同时检验MAIC的干预效果。研究采用多重基线水平的ABA单被试实验设计,对6名GD省花样游泳运动员(平均年龄19.33岁,平均训练10.5年)进行为期4个月的心理干预。使用五维度正念问卷(FFMQ)、WT-注意力测试软件和运动员训练质量记录表为测量工具,对被试的心理水平和运动表现水平进行测量。采用视觉化检验(visual analysis)和效果量NAP(Nonoverlap of All Pairs)对实验数据进行分析。干预结束后1个月请2位教练员和6名被试运动员回答《实践评估问卷》以进行社会效度评价。随着干预进行,6名被试的正念水平、注意力水平和运动表现水平均有所提高,社会效度评价支持了干预效果。结果显示,MAIC具有良好的干预效果,可帮助花样游泳运动员提高运动表现水平。
基金co-supported by the National Natural Science Foundation of China (Nos. 61201381, 61401513 and 61772548)the China Postdoctoral Science Foundation (No. 2016M592989)+1 种基金the Self-Topic Foundation of Information Engineering University, China (No. 2016600701)the Outstanding Youth Foundation of Information Engineering University, China (No. 2016603201)
文摘It is well known that the Two-step Weighted Least-Squares(TWLS) is a widely used method for source localization and sensor position refinement. For this reason, we propose a unified framework of the TWLS method for joint estimation of multiple disjoint sources and sensor locations in this paper. Unlike some existing works, the presented method is based on more general measurement model, and therefore it can be applied to many different localization scenarios.Besides, it does not have the initialization and local convergence problem. The closed-form expression for the covariance matrix of the proposed TWLS estimator is also derived by exploiting the first-order perturbation analysis. Moreover, the estimation accuracy of the TWLS method is shown analytically to achieve the Cramér-Rao Bound(CRB) before the threshold effect takes place. The theoretical analysis is also performed in a common mathematical framework, rather than aiming at some specific signal metrics. Finally, two numerical experiments are performed to support the theoretical development in this paper.
