Multilevel metric rank match for person re-identification

Metric learning is one of the important ways to improve the person re-identification (ReID) accurate, of which triplet loss is the most effect metric learning method. However, triplet loss only ranks the extracted feature at the end of the network, in this paper, we propose a multilevel metric rank match (MMRM) method, which ranks the extracted feature on multilevel of the network. At each rank level, the extracted features are ranked to find the hard sample pairs and the backward dissemination triplet loss. Each rank level has different penalize value to adjust the network, in which the value is bigger with the deeper level of the whole network. Experiment results on CUHK03, Market1501 and DukeMTMC datasets indicate that The MMRM algorithm can outperform the previous state-of-the-arts.     

De l’estime de soi et du sentiment d’auto-efficacité à la motivation au travail : le rôle médiateur du sens du travail chez les alternants en France

The purpose of this study was to test the links between self-esteem, the feeling of self-efficacy and the different forms of motivation. It also aimed to understand the mediating effect of the meaning of work between the variables. French work-integrated learning students (n = 471) completed a self-administered online questionnaire. The results showed significant links between self-esteem, perceived self-efficacy, work meaning, and different dimensions of motivation (extrinsic, intrinsic, and amotivation). In addition, the meaning of work played a mediating role in the relationship between self-esteem, perceived self-efficacy, and dimensions of motivation. This study showed the central mechanism of work meaning in work motivation.     

Detecting anonymous attacks in wireless communication medium using adaptive grasshopper optimization algorithm

Intrusion Detection Systems (IDSs) is a system that monitors network traffic for suspicious activity and issues alert when such activity is revealed. Moreover, the existing IDSs-based methods are based on outdated attacks that unable to identify modern attacks or malicious trends. For this reason, in this study we developed a new multi-swarm adaptive grasshopper optimization algorithm to utilize adaptation mechanism in a group of swarms based on fuzzy logic to protect against sophisticated attacks. The proposed (MSAGOA) technique has the capability of global optimization and rapid convergence that are used to attain optimal feature subsets to identify attack types on IDS datasets. In the MSAGOA technique, learning engine as Extreme learning Machine, Naive Bayes, Random Forest and Decision Tree is applied as a fitness function to select the highly discriminating features and to maximize classification performance. Afterward, select the best classifier which works as a fitness function in our approach to measure the performance in terms of accuracy, detection rate, and false alarm rate. The simulations are performed on three IDS datasets such as NSL-KDD, AWID-ATK-R, and NGIDS-DS. The experimental results demonstrated that MSAGOA method has performed better and obtained high detection rate of 99.86%, accuracy of 99.89% in NSL-KDD and high detection rate of 98.73%, accuracy of 99.67% in AWID-ATK-R and detection rate of 89.50%, accuracy of 90.23% in NGIDS-DS. In addition, the performance is compared with several other existing techniques to show the efficacy of the proposed approach.     

Where Emerging Adults in the United States Find Meaning in Life

We explored the most important sources of meaning among emerging adults and whether time spent on social media had an effect on life meaning dimensions. Results showed that the majority of emerging adults mentioned family and friends when asked in an open‐ended question about things that make their life meaningful.     

双眼视差的神经机制与知觉学习效应

双眼瞳距使得空间某物体在左右眼视网膜的成像存在微小位置差异, 这种差异被称为双眼视差(binocular disparity), 是立体视知觉的重要信息来源。对双眼视差的心理物理学研究始于18世纪初, 迄今已有接近两百年的历史。近年来, 双眼视差研究主要集中在两方面。其一是用电生理、脑成像技术考察双眼视差在视觉背、腹侧通路的模块化表征, 其脑区表征反映出视觉系统的层级式、平行式加工规律。其二是应用知觉学习范式研究双眼视差的可塑性。未来研究应综合脑成像和神经调控技术考察双眼视差的神经机制及其学习效应, 包括双眼视差与多种深度线索间的信息整合和交互作用。应用方向上, 可结合虚拟现实等技术优化训练范式, 实现立体视力的康复和增强。     

树大招风：社交焦虑者的正性评价恐惧

正性评价恐惧是社交焦虑能够有效鉴别于抑郁症的核心特征。正性评价恐惧是指对他人给予的积极评价感到恐惧, 并因此而担忧的一种情绪反应。正性评价恐惧不仅会使社交焦虑者表现出否认积极认知、回避关注及情绪消极化等特点, 还会通过去正性化思维和解释偏向进一步加剧其认知偏差并抑制其正性情绪, 从而维持和加剧个体的社交焦虑症状。未来研究应关注正性评价恐惧在教育和咨询中的应用, 以及本土倡导谦虚文化背景下正性评价恐惧特点的研究。     

社交焦虑大学生情绪调节灵活性：情绪内容对策略选择和使用的影响

尽管社交焦虑个体被认为存在情绪调节灵活性的不足,但至今尚不清楚这种不足究竟在于难以灵活选择策略,还是难以灵活使用策略,抑或二者兼有？对此,本研究采用情绪调节策略选择任务考察了37名高社交焦虑大学生和29名低社交焦虑大学生在面对社交-非社交情绪图片时对认知重评-回避策略的选择模式和使用效果。结果发现：在面对社交情绪图片时,高社交焦虑被试比低社交焦虑被试更少选择认知重评,而更多选择回避;在面对非社交情绪图片时,两组被试对两种策略的选择模式无显著差异。同时,无论面对社交还是非社交情绪图片,两组被试对两种策略的使用效果也无显著差异。以上结果表明,相比低社交焦虑个体,高社交焦虑个体只有在面对社交情绪刺激时才存在情绪调节灵活性的不足,且这种不足主要在于难以灵活选择策略,而非难以灵活使用策略。     

新时代青少年羞怯对同伴侵害的影响：依存型和独立型自我建构的作用

本研究的主要目的是考察羞怯对同伴侵害的影响及潜在机制。1036名青少年(52%是男孩; M = 12.97 岁, SD = .76)完成了自评问卷。结果发现：(1)羞怯显著地正向预测青少年的同伴侵害;(2)自我建构调节了这一关系,依存型自我建构对羞怯个体的同伴问题具有保护作用,而独立型自我建构具有破坏作用;(3)性别对这一关系的调节作用并不显著。这些发现强调了在羞怯的适应功能研究中考虑文化的个人层面因素的重要性。     

象似性和手语学习经验对中国手语-汉语跨模态语义启动效应的影响

采用启动条件下的词汇判断任务,考察熟练手语使用者和无手语经验成年听人的跨模态语义启动效应。结果发现：1)在象似词条件下,两组被试判断汉语语义相关词的反应时均快于语义无关词,说明手语象似词和汉语词之间存在跨模态语义启动效应。2)在非象似词条件下,仅手语熟练被试判断汉语语义相关词的反应时快于语义无关词,无手语经验被试判断汉语语义相关词和无关词的速度没有差异。这是由于前者心理词库中的手语词和口语词共享语义表征,而后者主要依赖手语象似词的视觉模拟性。整个研究表明,中国手语和汉语间存在跨模态语义启动效应,但该效应受到手语词象似性和手语学习经历的调节。     

走进大自然：自然体验及其积极效应

自然体验是指个体通过各种感官感知自然或与源于自然界的刺激互动。学者通常使用问卷测量法、自然指标法或实验操纵法来量化操纵人们的自然体验,发现接触自然可以在心理、生理和行为等方面产生积极效应。且这些积极效应会受到物理环境、个体以及社会因素的影响。未来应突破“城市——自然”二元对立思想并加强积极效应的纵深研究;拓展研究群体;促进相关研究成果的实际应用。