中庸思维对社会适应的影响:心理弹性和情绪调节的中介作用

目的实证考察中庸思维、心理弹性、情绪调节与社会适应的关系。方法调查了526名大学生的问卷调查,运用结构方程模型和bootstrap方法考察了研究变量之间的关系。结果 (1)中庸思维、心理弹性、情绪新评价与社会适应之间显着正相关,但情绪表达抑制与社会适应相关不显著;(2)中庸思维以心理弹性和情绪新评价为链式中介变量间接预测社会适应,且bootstrap检验发现模型的所有中介路径都达到显著水平。结论中庸思维对社会适应具有积极促进作用。     

语义内容的情绪价对自我嗓音吸引力评价的影响

目的探讨语义内容的情绪效价对自我嗓音吸引力评价的影响。方法以健康大学生为被试,录制他们朗读不同情绪价(积极、消极、中性)词汇的声音作为实验材料。正式实验时要求被试在七点Likert量表上分别对自我和陌生他人的三种情绪价的嗓音的吸引力进行评价。结果对实验数据进行三因素混合方差分析发现个体对于自我嗓音的评分显著高于对于他人嗓音吸引力的评分。为了考察自己评自己嗓音吸引力的得分与异性他人对自己的评分的关系,我们在不同情绪价条件下分别进行了Pearson相关分析。结果发现男性被试只有在中性条件下两者显著相关,女性被试只有在情绪条件下两者相关。结论即使改变了嗓音内容的情绪性,个体仍然对自我嗓音吸引力表现出高估偏向;口语传达内容的情绪性对自我嗓音吸引力评价有一定的影响,这种影响存在性别差异。     

大学生网络去个性化行为与内外控的关系研究

目的旨在了解大学生网络去个性化的表现特点及其与内外控的关系。方法采用大学生网络去个性化调查问卷和罗特＂I-E＂心理控制源量表调查502名大学生。结果网络去个性化存在时间、性别差异;大学生网络去个性化在攻击行为、情感宣泄、自我控制水平3维度上,呈现显著的性别差异;网络去个性化在内外控上呈显著差异。结论时间、性别、内外控等因素是影响网络去个性化的重要变量;男生较女生更易出现网络攻击行为、自控能力低等消极表现。     

大学生情绪智力、自我效能感和社会支持与应激承受能力的关系

目的探讨大学生情绪智力、自我效能感和社会支持与应激承受能力的关系。方法采用情绪智力量表、应激承受能力量表、一般自我效能感量表、社会支持量表对742名大学生进行研究。结果个体的情绪智力能预测其应激承受能力;一般自我效能感和社会支持与应激承受能力存在正相关;一般自我效能感和社会支持在情绪智力预测应激承受能力的过程中起部分中介作用。结论大学生的情绪智力水平会影响其一般自我效能感和社会支持水平,最终影响其应激承受能力。     

差序格局和心理账户对大学生消费决策及情绪的影响

目的 考察差序格局和心理账户与大学生消费决策及情绪之间的关系.方法 采用情境式问卷法和自我建构量表(SCS)中文版对469名在校大学生进行测量.结果 差序格局的主效应显著,对处于差距格局越近的对象,被试愿意花费的金额越大,反之则越小,心理账户与消费决策的交互作用不显著;社会距离、大学生消费决策及其情绪之间存在显著相关;...     

相对剥夺感对大学生抑郁的影响:链式中介效应分析

目的 探讨相对剥夺感对大学生抑郁的影响机制.方法 采用相对剥夺感问卷、情绪调节策略问卷、领悟社会支持量表和流调中心抑郁量表对799名大学生进行调查.结果(1)相对剥夺感、认知重评、表达抑制、领悟社会支持与抑郁两两均呈显著相关;(2)相对剥夺感可以通过五条路径影响大学生抑郁:认知重评、表达抑制和领悟社会支持的独立中介作用...     

面向道路场景语义分割的移动窗口变换神经网络设计

道路场景语义分割是自动驾驶环境感知的一项重要任务。近年来,变换神经网络(Transformer)在计算机视觉领域开始应用并取得了很好的效果。针对复杂场景图像语义分割精度低、细小目标识别能力不足等问题,本文提出了一种基于移动窗口Transformer的多尺度特征融合的道路场景语义分割算法。该网络采用编码-解码结构,编码器使用改进后的移动窗口Transformer特征提取器对道路场景图像进行特征提取,解码器由注意力融合模块和特征金字塔网络构成,充分融合多尺度的语义特征。在Cityscapes城市道路场景数据集上进行验证测试,实验结果表明,与多种现有的语义分割算法进行对比,本文方法在分割精度方面有较大的提升。     

基于注意力机制的轻量级RGB-D图像语义分割网络

目的针对卷积神经网络在RGB-D(彩色-深度)图像中进行语义分割任务时模型参数量大且分割精度不高的问题,提出一种融合高效通道注意力机制的轻量级语义分割网络。方法文中网络基于RefineNet,利用深度可分离卷积(Depthwiseseparableconvolution)来轻量化网络模型,并在编码网络和解码网络中分别融合高效的通道注意力机制。首先RGB-D图像通过带有通道注意力机制的编码器网络,分别对RGB图像和深度图像进行特征提取;然后经过融合模块将2种特征进行多维度融合;最后融合特征经过轻量化的解码器网络得到分割结果,并与RefineNet等6种网络的分割结果进行对比分析。结果对提出的算法在语义分割网络常用公开数据集上进行了实验,实验结果显示文中网络模型参数为90.41 MB,且平均交并比(mIoU)比RefineNet网络提高了1.7%,达到了45.3%。结论实验结果表明,文中网络在参数量大幅减少的情况下还能提高了语义分割精度。     

高特质焦虑个体情绪注意偏向的脑网络研究

利用复杂网络分析方法对脑网络的拓扑结构和属性进行分析,探讨高特质焦虑个体情绪注意偏向的脑功能机制.选取高特质性焦虑(HTA)和低特质性焦虑(LTA)各15名被试,进行3种情绪面孔表情(高兴、中性和愤怒)的搜索任务,同步记录64导脑电(EEG).对EEG数据进行同步似然分析,计算网络的整体属性参数(全局效率、聚类系数和特...     

女大学生学习自控力的影响因素——自我效能感、学习动机与学习策略的多重中介效应

目的探讨女大学生学习自控力的影响因素及影响过程。方法以782名女大学生作为被试,采用大学生学习自控力量表、情绪智力量表、一般自我效能感量表、学习动机量表、学习策略量表进行测评,建立结构方程模型来探讨变量之间的关系。结果相关分析表明女大学生情绪智力、学习动机、学习策略、自我效能感与学习自控力两两之间存在非常显著的正相关(r=0.288~0.676,P0.01);情绪智力对女大学生学习自控力的影响既有直接效应,又有间接效应,直接效应值为0.134,间接效应值为0.434,间接效果量为76.4%,总效应值为0.568。结论自我效能感、学习动机与学习策略在情绪智力与学习自控力之间起到多重中介作用。     

面向重大传染性疾病的应急资源管理研究综述

伴随传染性疾病传播网络的发展变化,应急资源需求具有时变性和随机性,使得应急资源的管理研究具有一定挑战性,有必要针对现有的面向传染性疾病的应急管理相关研究进行综述。首先介绍了传染性疾病传播网络建模及分析方法,然后针对传染性疾病背景下的应急资源管理研究进行综述,包括资源配置、选址和物流规划、库存和供应链管理以及资源重组4个主要研究领域,最后对研究现状和未来研究重点进行归纳总结。     

Community of scholars: An exploratory study of management laureates

Social network analysis is an important research tradition in structural sociology and has contributed much to our understanding of inter and intra organizational relations. Of particular significance is the contribution of social network analysis to the definition of community. Communities, whether traditional or scientific, can be effectively thought of as a series of positions and roles. This paper proposes four hypotheses about a select group of management scholars (laureates) and the network ties that connect them. Laureates were asked to identify individuals who had influenced their intellectual development and work in the management discipline. An invisible college in the traditional sense did not exist but rather a complex series of intellectual neighborhoods were identified. These neighborhoods, as contrasted to true communities or colleges were small, uncoordinated, and fragmented. This revised version was published online in June 2006 with corrections to the Cover Date.     

American university students' beliefs about success in science: A case study

Atribution theory as a new perspective for studying the psychology of science and scientists is introdced through use of a case study of college students' attributions for success and failure in science. The atributional perspective incorporates views of one's own competence as well as beliefs bout the importance of effort for success in science. It also provides a framework for analyzing differences in attitudes about various fields of science. Sex differences in science participation are a further area which can be analyzed from an atributional perspective. Results from the college student study are discussed along with suggestions for future research.     

网络环境下研究生管理新探索

文章分析了目前研究生管理工作中存在的问题,提出了创建研究生网络班级,加强研究生班级建设的新思路,并给出了具体的实现方案.     

The emotional side of cognitive distraction: Implications for road safety

Driver distraction is estimated to be one of the leading causes of motor vehicle accidents. However, little is known about the role of emotional distraction on driving, despite evidence that attention is highly biased toward emotion. In the present study, we used a dual-task paradigm to examine the potential for driver distraction from emotional information presented on roadside billboards. This purpose was achieved using a driving simulator and three different types of emotional information: neutral words, negative emotional words, and positive emotional words. Participants also responded to target words while driving and completed a surprise free recall task of all the words at the end of the study. The findings suggest that driving performance is differentially affected by the valence (negative versus positive) of the emotional content. Drivers had lower mean speeds when there were emotional words compared to neutral words, and this slowing effect lasted longer when there were positive words. This may be due to distraction effects on driving behavior, which are greater for positive arousing stimuli. Moreover, when required to process non-emotional target stimuli, drivers had faster mean speeds in conditions where the targets were interspersed with emotional words compared to neutral words, and again, these effects lasted longer when there were positive words. On the other hand, negative information led to better memory recall. These unique effects may be due to separate processes in the human attention system, particularly related to arousal mechanisms and their interaction with emotion. We conclude that distraction that is emotion-based can modulate attention and decision-making abilities and have adverse impacts on driving behavior for several reasons.     

Study on Big Data-based Behavior Modification in Metro Construction

With the rapid development of metro construction in China, construction accidents frequently happen, which are significantly attributable to workers’ unsafe behavior. Behavior-based safety (BBS) is an effective method to modify workers’ unsafe behavior. This paper introduces the study on big data-based metro construction behavior modification, aiming to solve the problem of current research without consideration of workers’ personal characters. First, the behavior modification pushing mechanism based on content-based personalized recommendation is studied. Secondly, the development of behavior modification system of metro construction (BMSMC) is introduced. Thirdly, BMSMC practical applications using the unsafe behavior rate, S as a measuring indicator is implemented. Observations at one metro construction site in Wuhan indicate that the unsafe behavior rate of modified scaffolders at this work place decreased by 69.3%. At the same time, as of unmodified scaffolders at another work place for comparison, the unsafe behavior rate decreased by 56.9%, which validates the effectiveness of this system.     

设计管理体验驱动乡村文化品牌策略模型研究

目的 构建一种基于设计管理体验的乡村文化品牌策略模型。方法 首先,通过文献研究法,界定设计管理体验概念与层级;其次,分析乡村文化品牌的现状与背景;再次,讨论设计管理体验每个层级与乡村文化品牌具体的映射关系;最后,从服务情感、战略规划、组织协作、触点体验四个层面深入分析乡村文化品牌建设的开发策略。结论 提出了一种以设计管理体验驱动乡村文化品牌策略模型。在服务情感层下,以人们的痛点、需求、问题为切入点,提高人们对乡村的情感体验共鸣和唤醒对乡村的记忆;在战略规划层下,以前瞻性、整体性、差异性为发展目标,建立乡村的品牌战略设计系统和品牌形象设计系统;在组织协作层下,灵活运用乡村整体文化资源,激发乡村创新活力,保持品牌的持续创新;在触点体验层下,构建数字化下的线上线下营销模式,以五感融合理念为基础,打造具有沉浸感、交互性、个性化的体验项目和产品服务,为推动乡村文化品牌建设提供理论基础。     

Hyperledger fabric-based consortium blockchain for construction quality information management

Lack of trust has been an ongoing issue for decades in construction quality management, hindering the improvement of quality performance. The development of mutual trust depends on immutable, traceable, and transparent construction quality information records. However, current information technologies cannot meet the requirements. To address the challenge, this study explores a blockchain-based framework for construction quality information management, which extends applications of blockchain in the domain of construction quality management. A consortium blockchain system is designed to support construction quality management in which participants’ information permissions and lifecycle are discussed. Additionally, this study presents in detail the consensus process that aims to address the problem of information fraud. The automated compliance checking based on smart contracts is presented as well, aiming to assure that construction products meet regulation requirements. Finally, an example of the consortium blockchain network is visualized to validate the feasibility of blockchain-based construction quality information management. The research shows that blockchain can facilitate mutual trust in construction quality management by providing distributed, encrypted, and secure information records and supporting automated compliance checking of construction quality.     

融合人脸表情的手语到汉藏双语情感语音转换

针对聋哑人与正常人之间存在的交流障碍问题,提出了一种融合人脸表情的手语到汉藏双语情感语音转换的方法。首先使用深度置信网络模型得到手势图像的特征信息,并通过深度神经网络模型得到人脸信息的表情特征。其次采用支持向量机对手势特征和人脸表情特征分别进行相应模型的训练及分类,根据识别出的手势信息和人脸表情信息分别获得手势文本及相应的情感标签。同时,利用普通话情感训练语料,采用说话人自适应训练方法,实现了一个基于隐Markov模型的情感语音合成系统。最后,利用识别获得的手势文本和情感标签,将手势及人脸表情转换为普通话或藏语的情感语音。客观评测表明,静态手势的识别率为92.8%,在扩充的Cohn-Kanade数据库和日本女性面部表情(Japanese Female Facial Expression,JAFFE)数据库上的人脸表情识别率为94.6%及80.3%。主观评测表明,转换获得的情感语音平均情感主观评定得分4.0分,利用三维情绪模型(Pleasure-Arousal-Dominance,PAD)分别评测人脸表情和合成的情感语音的PAD值,两者具有很高的相似度,表明合成的情感语音能够表达人脸表情的情感。     

An Intelligent Agency Framework to Realize Adaptive System Management

In order to realize the required scalable and adaptive system management, an interactive intelligent agency framework, iSMAcy （intelligent System Management Agency） , is proposed as an integrated solution to realize distributed autonomoas system management. Firstly, it is a multiagent platform that supports inter-agent communication and cooperation. Secondly, the functional agents are based on intentional agent architecture that achieves balance between goal-directed behavior and situated reactive action. An example of applying the iSMAcy system to a network management environment has been described to illustrate and validate the scalable and adaptive management capability of the intelligent agency framework.