This paper analyses adverse selection by signalingmodel and imcomplete information static game modelafter the review of Internet trust. The results showthat establishing credit grades system, decreasingcost difference...This paper analyses adverse selection by signalingmodel and imcomplete information static game modelafter the review of Internet trust. The results showthat establishing credit grades system, decreasingcost differences of Internet goods, increasing Internetmerchants participating in marking a price, reducingmerchants’ cost, concentrating purchase can improveInternet trust. The theoretical bias is provided for theresearch of trust in Internet.展开更多
目的:了解抑郁患者的依恋关系和人际信任现状,探究人际信任在依恋关系和抑郁间的中介作用。方法:收集2019年10月至2022年3月就诊于上海市精神卫生中心咨询门诊抑郁患者(抑郁组)149例,同期招募健康对照组114名。采用亲密关系体验问卷修订...目的:了解抑郁患者的依恋关系和人际信任现状,探究人际信任在依恋关系和抑郁间的中介作用。方法:收集2019年10月至2022年3月就诊于上海市精神卫生中心咨询门诊抑郁患者(抑郁组)149例,同期招募健康对照组114名。采用亲密关系体验问卷修订版(experiences in close relationship-revised, ECR-R)、信任量表(trust scale)、信任游戏(trust game)分别测量依恋关系、人际信任态度和人际信任行为,使用汉密尔顿抑郁(Hamilton depression scale, HAMD-17)评估抑郁症状。结果:抑郁组的信任量表、信任投资游戏评分均低于对照组(P均<0.05),依恋焦虑和依恋回避评分均高于健康对照组(P均<0.001)。Pearson相关分析显示,依恋关系、信任问卷和信任投资游戏评分均与抑郁分数存在显著相关(P均<0.05)。依恋关系通过人际信任态度和行为预测抑郁的间接效应分别为0.112和0.032,分别占总效应的20.14%和5.76%。结论:依恋关系可直接或间接预测抑郁,人际信任态度和行为在依恋关系和抑郁间起部分中介作用。展开更多
To accelerate the selection process of feature subsets in the rough set theory （RST）, an ensemble elitist roles based quantum game （EERQG） algorithm is proposed for feature selec- tion. Firstly, the multilevel eli...To accelerate the selection process of feature subsets in the rough set theory （RST）, an ensemble elitist roles based quantum game （EERQG） algorithm is proposed for feature selec- tion. Firstly, the multilevel elitist roles based dynamics equilibrium strategy is established, and both immigration and emigration of elitists are able to be self-adaptive to balance between exploration and exploitation for feature selection. Secondly, the utility matrix of trust margins is introduced to the model of multilevel elitist roles to enhance various elitist roles＇ performance of searching the optimal feature subsets, and the win-win utility solutions for feature selec- tion can be attained. Meanwhile, a novel ensemble quantum game strategy is designed as an intriguing exhibiting structure to perfect the dynamics equilibrium of multilevel elitist roles. Finally, the en- semble manner of multilevel elitist roles is employed to achieve the global minimal feature subset, which will greatly improve the fea- sibility and effectiveness. Experiment results show the proposed EERQG algorithm has superiority compared to the existing feature selection algorithms.展开更多
文摘This paper analyses adverse selection by signalingmodel and imcomplete information static game modelafter the review of Internet trust. The results showthat establishing credit grades system, decreasingcost differences of Internet goods, increasing Internetmerchants participating in marking a price, reducingmerchants’ cost, concentrating purchase can improveInternet trust. The theoretical bias is provided for theresearch of trust in Internet.
文摘目的:了解抑郁患者的依恋关系和人际信任现状,探究人际信任在依恋关系和抑郁间的中介作用。方法:收集2019年10月至2022年3月就诊于上海市精神卫生中心咨询门诊抑郁患者(抑郁组)149例,同期招募健康对照组114名。采用亲密关系体验问卷修订版(experiences in close relationship-revised, ECR-R)、信任量表(trust scale)、信任游戏(trust game)分别测量依恋关系、人际信任态度和人际信任行为,使用汉密尔顿抑郁(Hamilton depression scale, HAMD-17)评估抑郁症状。结果:抑郁组的信任量表、信任投资游戏评分均低于对照组(P均<0.05),依恋焦虑和依恋回避评分均高于健康对照组(P均<0.001)。Pearson相关分析显示,依恋关系、信任问卷和信任投资游戏评分均与抑郁分数存在显著相关(P均<0.05)。依恋关系通过人际信任态度和行为预测抑郁的间接效应分别为0.112和0.032,分别占总效应的20.14%和5.76%。结论:依恋关系可直接或间接预测抑郁,人际信任态度和行为在依恋关系和抑郁间起部分中介作用。
基金supported by the National Natural Science Foundation of China(6113900261171132+4 种基金61300167)the Natural Science Foundation of Jiangsu Education Department(12KJB520013)the Open Project Program of Jiangsu Provincial Key Laboratory of Computer Information Processing Technologythe Qing Lan Project of Jiangsu Provincethe Starting Foundation for Doctoral Scientific Research,Nantong University(14B20)
文摘To accelerate the selection process of feature subsets in the rough set theory （RST）, an ensemble elitist roles based quantum game （EERQG） algorithm is proposed for feature selec- tion. Firstly, the multilevel elitist roles based dynamics equilibrium strategy is established, and both immigration and emigration of elitists are able to be self-adaptive to balance between exploration and exploitation for feature selection. Secondly, the utility matrix of trust margins is introduced to the model of multilevel elitist roles to enhance various elitist roles＇ performance of searching the optimal feature subsets, and the win-win utility solutions for feature selec- tion can be attained. Meanwhile, a novel ensemble quantum game strategy is designed as an intriguing exhibiting structure to perfect the dynamics equilibrium of multilevel elitist roles. Finally, the en- semble manner of multilevel elitist roles is employed to achieve the global minimal feature subset, which will greatly improve the fea- sibility and effectiveness. Experiment results show the proposed EERQG algorithm has superiority compared to the existing feature selection algorithms.
