This study examines why and when negative workplace gossip promotes self-serving behaviors by the employees being targeted. Using conservation of resources theory, we find that targets tend to increase their political acts as a result of ego depletion triggered by negative gossip. We also show that sensitivity to interpersonal mistreatment and moral disengagement moderate this process. Specifically, we demonstrate that targets with high levels of sensitivity to interpersonal mistreatment are more likely to experience ego depletion, and that targets with high (...) levels of moral disengagement will find it easier to persuade themselves to engage in political acts. We conducted a three-wave time-lagged survey of 265 employees in Guangdong, China, to test our hypotheses. The results support our theoretical model and indicate that COR theory can be used to explain the impacts of negative workplace gossip. Alongside our important and timely theoretical contributions, we provide new perspectives on how managers can avoid or mitigate these political acts. (shrink)

Emotion recognition plays an important part in human-computer interaction. Currently, the main challenge in electroencephalogram -based emotion recognition is the non-stationarity of EEG signals, which causes performance of the trained model decreasing over time. In this paper, we propose a two-level domain adaptation neural network to construct a transfer model for EEG-based emotion recognition. Specifically, deep features from the topological graph, which preserve topological information from EEG signals, are extracted using a deep neural network. These features are then passed through (...) TDANN for two-level domain confusion. The first level uses the maximum mean discrepancy to reduce the distribution discrepancy of deep features between source domain and target domain, and the second uses the domain adversarial neural network to force the deep features closer to their corresponding class centers. We evaluated the domain-transfer performance of the model on both our self-built data set and the public data set SEED. In the cross-day transfer experiment, the ability to accurately discriminate joy from other emotions was high: sadness, anger, and fear on the self-built data set. The accuracy reached 74.93% on the SEED data set. In the cross-subject transfer experiment, the ability to accurately discriminate joy from other emotions was equally high: sadness, anger, and fear on the self-built data set. The average accuracy reached 87.9% on the SEED data set, which was higher than WGAN-DA. The experimental results demonstrate that the proposed TDANN can effectively handle the domain transfer problem in EEG-based emotion recognition. (shrink)

Based on implicit leadership theory, we examine the congruence effect of leader-follower power distance orientation on follower trust in a supervisor and work engagement, which in turn influences employees’ task performance. Results of Polynomial regressions on 526 dyads supported the congruence effect hypothesis. The results show that (1) the congruence of leader-follower power distance orientation leads to better performance; (2) under the condition of congruence, Subordinate task performance is higher when leader-follower power distance orientation matching in low-low ratings congruence than (...) it is in high-high ratings congruence; (3) under the condition of asymmetrical incongruence, the follower had higher task performance when a leader’s power distance orientation is lower than a follower’s power distance orientation; (4) trust in supervisor and the work engagement mediates the effect of congruence of leader-follower power distance orientation on employees’ task performance; (5) trust in supervisor also mediates the effect of congruence of leader-follower power distance orientation on employees’ work engagement. (shrink)

Although some cognitive studies provided reasons that children with low socioeconomic status (SES) showed poor mathematical achievements, there was no explicit evidence to directly explain the root of lagged performance in children with low SES. Therefore, the present study explored the differences in neural correlates in the process of symbolic magnitude comparison between children with different SES by the event-related potentials (ERP). A total of 16 second graders from low SES families and 16 from middle/high SES families participated in this (...) study. According to the results of anterior N1 (early attention) and P2 (extraction of numerical meaning) over frontal region, the differences among children with different SES were manifested as differences in general neural activities in terms of attention and top-down cognitive control. In the late stage of cognitive processing, there was no significant difference in the average amplitude of the LPC between the children with different SES, indicating that low SES did not influence the information encoding and memory updating of numerical representation responsible by the parietal lobe. The educational implications of this study were mentioned in the discussion. (shrink)

Systems with human-centered artificial intelligence are always as good as their ability to consider their users’ context when making decisions. Research on identifying people’s everyday activities has evolved rapidly, but little attention has been paid to recognizing both the activities themselves and the motions they make during those tasks. Automated monitoring, human-to-computer interaction, and sports analysis all benefit from Web 4.0. Every sport has gotten its move, and every move is not known to everyone. In ice hockey, every move cannot (...) be monitored by the referee. Here, Convolution Neural Network-based Real-Time Image Processing Framework (CNN-RTIPF) is introduced to classify every move in Ice Hockey. CNN-RTIPF can reduce the challenges in monitoring the player’s move individually. The image of every move is captured and compared with the trained data in CNN. These real-time captured images are processed using a human-centered artificial intelligence system. They compared images predicted by probability calculation of the trained set of images for effective classification. Simulation analysis shows that the proposed CNN-RTIPF can classify real-time images with improved classification ratio, sensitivity, and error rate. The proposed CNN-RTIPF has been validated based on the optimization parameter for reliability. To improve the algorithm for movement identification and train the system for many other everyday activities, human-centered artificial intelligence-based Web 4.0 will continue to develop. (shrink)

This research explores the harmful effects of negative workplace gossip (NWG) on targets and organizations, including its impacts on helping behavior and knowledge hiding. The mediating role of guanxi closeness and the moderating role of need for affiliation are also examined. The study, based on conservation of resources theory, collected data from 526 employees in the hospitality industry in China, using a three-wave survey design. Hierarchical multiple regression analysis was employed to test the hypotheses. The empirical results showed that NWG (...) was a strong predictor of reduced helping behavior and increased knowledge hiding; and that guanxi closeness mediated both the negative relationship between NWG and helping behavior, and the positive relationship between NWG and knowledge hiding. Additionally, need for affiliation was shown to act as a moderator between NWG and guanxi closeness: high need for affiliation amplified the negative impact of NWG on guanxi closeness, and then further affected employees’ helping behavior and knowledge hiding. This study therefore offers an important new perspective for interpreting the detrimental effects of negative gossip in organizations, providing not just theoretical advances but practical ways in which managers can proactively reduce these impacts. (shrink)

As a generalization of both single-valued neutrosophic element and hesitant fuzzy element, single-valued neutrosophic hesitant fuzzy element is an efficient tool for describing uncertain and imprecise information. Thus, it is of great significance to deal with single-valued neutrosophic hesitant fuzzy information for many practical problems. In this paper, we study the aggregation of SVNHFEs based on some normalized operations from geometric viewpoint. Firstly, two normalized operations are defined for processing SVNHFEs. Then, a series of normalized aggregation operators which fulfill some (...) basic conditions of a valid aggregation operator are proposed. Additionally, a decision-making method is developed for resolving multiattribute decision-making problems based on the proposed operators. Finally, a numerical example is provided to illustrate the feasibility and effectiveness of the method. (shrink)

IntroductionAccurately predicting the competitive performance of elite athletes is an essential prerequisite for formulating competitive strategies. Women’s all-around speed skating event consists of four individual subevents, and the competition system is complex and challenging to make accurate predictions on their performance.ObjectiveThe present study aims to explore the feasibility and effectiveness of machine learning algorithms for predicting the performance of women’s all-around speed skating event and provide effective training and competition strategies.MethodsThe data, consisting of 16 seasons of world-class women’s all-around speed (...) skating competition results, used in the present study came from the International Skating Union. According to the competition rules, distinct features are filtered using lasso regression, and a 5,000 m race model and a medal model are built using a fivefold cross-validation method.ResultsThe results showed that the support vector machine model was the most stable among the 5,000 m race and the medal models, with the highest AUC. Furthermore, 3,000 m points are the main characteristic factors that decide whether an athlete can qualify for the final. The 11th lap of the 5,000 m, the second lap of the 500 m, and the fourth lap of the 1,500 m are the main characteristic factors that affect the athlete’s ability to win medals.ConclusionCompared with logistic regression, random forest, K-nearest neighbor, naive Bayes, neural network, support vector machine is a more viable algorithm to establish the performance prediction model of women’s all-around speed skating event; excellent performance in the 3,000 m event can facilitate athletes to advance to the final, and athletes with outstanding performance in the 500 m event are more likely competitive for medals. (shrink)

What could be a unifying principle for the manifold of temporal experiences: the simultaneity or temporal order of events, the subjective present, the duration of experiences, or the impression of a continuity of time? Furthermore, we time travel to the past visiting in imagination previous experiences in episodic memory, and we also time travel to the future anticipating actions or plans. For such time traveling we divide time into three domains: past, present, and future. What could be an escape out (...) of this “jungle of time” characterized by many different perceptual and conceptual phenomena? The key concept we want to propose is “identity” which is derived from homeostasis as a fundamental biological principle. Within this conceptual frame two modes of identity are distinguished: individual or self-identity required because of homeostatic demands, and object-related identity necessary for the reliability and efficiency of neuro-cognitive processing. With this concept of self- and object-identity, the different temporal experiences can be conceptualized within a common frame. Thus, we propose a fundamental biological principle to conceptually unify temporal phenomena on the psychological level. (shrink)

Status in an organization is considered a significant antecedent to an employee's work-related behaviors. However, the relationship between knowledge workers' informal status and "taking charge" has been ignored in previous human resource management (HRM) research. Based on the self-consistency theory, this study examines the mechanisms underlying the influence of knowledge workers’ informal status on taking charge. Data were collected from 337 dyads of employees and their immediate supervisors in 24 enterprises and companies. Based on moderated mediation analysis, results indicated that (...) knowledge workers’ informal status is positively related to taking charge and organization-based self-esteem (OBSE). OBSE fully mediated the relationship between knowledge workers’ informal status and taking charge, while person-job fit (P-J fit) and person-supervisor fit (P-S fit) each moderated the relationship between knowledge workers’ informal status and OBSE, in addition to the indirect effect of knowledge workers’ informal status on taking charge. Specifically, the indirect effect was strongest when P-J fit or P-S fit was high. The theoretical and managerial implications of the findings, limitations of the study, and future research directions are discussed. (shrink)

The COVID-19 pandemic has pressed a pause button on global economic development, and induced significant mental health problems. In order to demonstrate the progressed relationship between the pandemic, economic slowdown, and mental health burden, we overviewed the global-level gross domestic product changes and mental problems variation since the outbreak of COVID-19, and reviewed comprehensively the specific sectors influenced by the pandemic, including international trade, worldwide travel, education system, healthcare system, and individual employment. We hope to provide timely evidence to help (...) with the promotion of policymakers’ effective strategies in mitigating economic losses induced by the pandemic; we suggest different governments or policy makers in different countries to share information and experience in dealing with COVID-19-induced economic slowdown and promote COVID-19 vaccine popularization plan to protect every individual worldwide against the coronavirus essentially; and we appeal international information share and collaboration to minimize stigmatization related to adverse mental consequences of COVID-19 and to increase mental health wellbeings of people all over the world. (shrink)

ObjectiveThe studies showed the benefits of virtual reality training for functional mobility and balance in older adults. However, a large variance in the study design and results is presented. We, thus, completed a systematic review and meta-analysis to quantitatively examine the effects of VRT on functional mobility and balance in healthy older adults.MethodsWe systematically reviewed the publications in five databases. Studies that examine the effects of VRT on the measures of functional mobility and balance in healthy older adults were screened (...) and included if eligible. Subgroup analyses were completed to explore the effects of different metrics of the intervention design on those outcomes related to functional mobility and balance.ResultsFifteen studies of 704 participants were included. The quality of these studies was good. Compared to traditional physical therapy, VRT induced greater improvement in TUG and one-leg stance with open eyes. Subgroup analyses revealed that immersive VRT with more than 800 min of total intervention time over 8 weeks and at least 120 min per week and/or designed by the two motor-learning principles was optimal for functional mobility and balance.ConclusionVirtual reality training can significantly improve functional mobility and balance in healthy older adults compared to TPT, and the findings provided critical knowledge of the optimized design of VRT that can inform future studies with more rigorous designs.Systematic Review Registration[https://www.crd.york.ac.uk/PROSPERO/], identifier [CRD42021297085]. (shrink)

BackgroundDreams can be affected by recent life events and long-term life experiences. Previous evidence has shown that childhood adverse experiences are associated with sleep quality and dream experiences.ObjectiveThe aim of this study was to explore the relationship between childhood adverse experiences and dream content in adults.Participants and SettingA total of 163 participants without current or past physical or mental disorders aged between 18 and 35 were screened in the hospital. Among them, 120 subjects who completed a dream content record at (...) home and whose anxiety and depression levels and sleep quality were within the normal range were included in the data analysis.MethodsA cross-sectional survey was conducted from June 2017 to December 2019. Dream content for 10 consecutive days was recorded by the participants and coded by the Hall and Van de Castle coding system. Childhood adversity was assessed by the Childhood Trauma Questionnaire. In the end, 719 dreams out of 626 nights for 120 participants were included in the data analysis, gender differences between groups were analyzed using t-tests or U tests, and Spearman’s partial correlation and multiple linear regression were used to investigate the relationship between childhood trauma and dream content.ResultsChildhood adversity was associated with characters, friendly interactions, and objects in dream content. Regression models of childhood adversity predicting characters and objects in dream content were constructed. There were no gender differences in general demographic data, sleep quality, emotional state, childhood adversity, dream recall frequency, or dream content.ConclusionChildhood adversity is associated with adult dream content. (shrink)

本书深入细致地介绍了刑法总论的基本理论问题,特别是犯罪构成和刑事责任问题。每个专题在系统介绍中外学者的观点之后,都提出了自己的观点。.

This study provided a content analysis of studies aiming to disclose how artificial intelligence has been applied to the education sector and explore the potential research trends and challenges of AI in education. A total of 100 papers including 63 empirical papers and 37 analytic papers were selected from the education and educational research category of Social Sciences Citation Index database from 2010 to 2020. The content analysis showed that the research questions could be classified into development layer, application layer, (...) and integration layer. Moreover, four research trends, including Internet of Things, swarm intelligence, deep learning, and neuroscience, as well as an assessment of AI in education, were suggested for further investigation. However, we also proposed the challenges in education may be caused by AI with regard to inappropriate use of AI techniques, changing roles of teachers and students, as well as social and ethical issues. The results provide insights into an overview of the AI used for education domain, which helps to strengthen the theoretical foundation of AI in education and provides a promising channel for educators and AI engineers to carry out further collaborative research. (shrink)

本书包括研究方法、中国化马克思主义哲学形态研究、当代马克思主义发展观、马克思与全球化、经典文本研究:《德意志意识形态》、马克思主义人本学研究、论农业和农民问题、中国马克思主义研究的现状与未来等内容.

Yan Fu was the first Chinese person to introduce the teachings of the West to China systematically. Since returning to China from Britain, to which he had been sent to study in 1879, he held an office at the Beiyang Naval College until leaving the institution in 1900. These twenty-some years were precisely the direst moment in the intensifying of China's social crisis, when the imperialists were pressing their aggression toward China and China was being brought to the brink of (...) being partitioned outright. At the time, all the progressive intellectuals in China were worried for the future of the motherland, and pressed on to find what they considered to be the truth of national salvation. The bourgeois reformist faction of the day, with Kang Youwei as its leader, advocated political and legal reform and was tremendously enthusiatic and active in pleading its case throughout China, calling on the intellectuals to respond. Yan Fu, too, at this time, did a large amount of propaganda work for the cause of reform, using the thought of Lao Zi and Zhuang Zi as his foundation and employing his own exceptional knowledge of Western things and Western learning, and his understanding of the capitalist world. He founded the Guowen bao and published a number of important political essays, including "Lun shibian zhi ji" , "Yuan qiang" , "Pi Han" and "Jiu wang jue lun" . He also translated a number of the works of Western bourgeois social science, including [Thomas Huxley's] Evolution and Ethics , [Adam Smith's] The Wealth of Nations , [Herbert Spencer's] A Study of Sociology , [John Stuart Mill's] Logic , and Montesquieu's De l'esprit des lois . Furthermore, he carried out an annotated and evaluative reading of Lao Zi and Zhuang Zi, and in so doing he assimilated Western learning and ideas into the Chinese interpretation of Lao-Zhuang's thought. (shrink)

本书从古代圣人、贤人、名人的文诗词赋中精选有关立志、修身、博学、报国的名言警句,并加以译注和评述,引导大学生树立正确的目标、信念。.

Ben shu bi jiao yan jiu liang shu ming he hu kuo de wen hua qu xiang, zheng zhi qu xiang, xue shu zhi qu, zhong xi wen hua guan, ke xue yu min zhu guan dui chuan tong wen hua de tai du he dui zhong guo wen hua chu lu de xuan ze deng wen ti.

Ben shu fen wei yi ban ke xue zhe xue,Zi ran ke xue zhe xue yu shu xue zhe xue,She hui ke xue zhe xue,Ren zhi yu xin li xue zhe xue,Ke xue ji shu yu she hui wu ge bu fen,Ju ti nei rong bao kuo:gui fan xing wen ti de yu yi zhuan xiang yu yu yong jin lu,Gui ze zun xun yu yi yi de gui fan xing,Dang dai wu li xue zhe xue de yan jiu xian (...) zhuang ji qu shi,Guai ren jia she yu fu xian xiang lun deng. (shrink)

Ben shu dui dao jia xing er shang xue de gai nian he yan jiu fang fa zuo le tan suo, bao kuo 'dao',' de', 'you wu zhi bian', 'zi ran', 'wu wei', 'tian ming','ren', 'hua'deng zhong yao shu yu yi ji dui sheng si de guan huai. Mu lu ru xia: shang bian yi dao jia yu xing er shang xue er dao jia xing er shang xue de dan sheng ji tui yan san dao jia dui ben ti (...) yu yu yan guan xi de ling wu si dao jia xing er shang xue fang fa wu 'dao' de li cheng liu'you wu zhi bian'qi shi' de 'ba'zi ran', 'wu wei fan shi he li xiang jiu'tian ming 'yu' ren 'shi' hua' guan nian ji qi li shi tuo zhan shi yi. (shrink)

Ben shu gong fen wei liu zhang, qi zhu yao bao kuo: xu lun ; Shao Yong sheng ping ji qi zhu zuo wen ben kao bian ; Shao Yong xue shu si xiang de li shi bei jing ji yuan yuan ; Shao Yong xue shu si xiang yuan yuan; shao yong yi shu yu yi tu si xiang tan jiu deng nei rong.

Ben shu gong 7 zhang, Shou lu song dai yi hou zhou dun yi yan jiu de xiang guan lun zhu, Lun wen 500 duo pian, Nei rong bao kuo:zhou dun yi de sheng ping gai kuang, Zhou dun yi zhu zuo kao bian, Zhou dun yi yan jiu gai shu, Zhou dun yi yan jiu gu dai wen xian shu yao, Zhou dun yi yan jiu zhuan zhu shu yao, Shi xue zhu zuo zhong zhou dun yi yan jiu (...) pian zhang shu yao, Zhou dun yi yan jiu lun wen shu yao deng. (shrink)

Ben shu jiu sheng tian tu de xing tai, tan tao gu dai ren men de sheng si guan, yi shi xing tai, zong jiao xin yang nai zhi bu tong wen hua de jiao liu, neng qu yong xin cai liao yan jiu xin wen ti, sheng tian tu shi yi xing xiang biao da ren men dui si hou de qi qiu, bao han zhe shi dai de sheng si guan.

Ben shu gong jiu zhang, nei rong bao gua : dao lun ; fu za xing shi jiao xia de fa gai nian li lun ; zhe xue shi jiao xia fa gai nian li lun ; jing ji xue shi jiao xia de fa gai nian li lun ; zheng zhi xue shi jiao xia de fa gai nian li lun ; she hui xue shi jiao xia de fa gai nian li lun ; shu xue shi jiao xia (...) de fa gai nian li lun deng. (shrink)

Xue xi he yan jiu Zhongguo zhe xue, yi ban lai shuo, Feng xian sheng shi ke chao er bu ke yue de. Yi si shi, hou ren wan quan ke neng er qie ye ying dang sheng guo Feng xian sheng, dan shi que bu neng rao guo Feng xian sheng. Rao guo Feng xian sheng, bu dan bi ran yao duo fei li qi, er qie rong yi zou wan lu er nan yu shen ru tang ao. Feng (...) Youlan zuo wei wo guo jin dai zhe xue de yi dai ju bo, zai mou zhong yi yi shang, ying xiang liao zheng ge jin dai Zhongguo zhe xue de ge ju. Er dui yu Feng Youlan zhe xue ji qi xue shu sheng ya de yan jiu, ye sui zhe dang dai guo xue yan jiu de xing qi, shou dao yue lai yue duo de guan zhu. Minguo shi qi de Zhongguo xue shu jie, ying gai shuo shi hui ju le yi da pi kua shi dai de xue shu jing ying, te bie shi zai chuan tong xue shu ling yu, kan cheng yi chang si xiang de sheng yan.ben shu zuo zhe zai hao ru yan hai de Minguo wen xian zhong, jing xin zheng li chu dang shi xue jie dui Feng Youlan zhe xue de hui ying he dui hua, qi zhong bao kuo zhu ru Chen Yinke, Jin Yuelin, Hu Shi, Zhang Dainian, Cai Shangsi deng yi da pi xue jie tai dou de wen zhang, zi liao xing fei chang qiang, bu jin fan ying le zhu wei xue zhe ge ren de du dao jian jie, geng cong yi ge ce mian fan ying le Minguo shi qi Feng Youlan zhe xue yan jiu de sheng kuang, dui dang xia yan jiu Feng Youlan zhe xue si xiang ju you zhong yao de can kao jia zhi. (shrink)

Ben shu nei rong bao kuo: ren lei wei he ru ci duo shi; dong fang gu dian de Afanda Wutuobang; sheng ren jiu jing wei shui xiao lao; zhi li de xian du yu xu wei you guo lun; deng gao si wang, man mu zhu ji hai shi man mu la ji; nan yi yong yu yan wen zi biao da yu chuan shou de da dao deng.

Ben shu zhu zai zhang xian ru jia yi li zai xiu dao fan chou de te se, Bao kuo wang chuan shan liang duan yi zhi lun yan yi, Bian zheng si wei yu shi jian zhi he, Zhong guo ren wen chuan tong yu xian dai jiao yu.

Ben shu gong fen san bu: di yi bu hui gui zhen wo, di er bu hui gui tian di, di san bu hui gui tai ji. Nei rong bao kuo: lun sheng ming; sheng ming yu shi ge; sheng ming yu yin yue; xian dai ren sheng ming de yan bian; wo shi shui, tian di yu wo deng.

Ben shu shi yi ben yan jiu ke xue li shi de shu ji. zhu yao nei rong bao kuo: Xi fang wen hua chuan tong he jin dai ke xue de dan sheng, Wen yi fu xing he Yidali ke xue zhong xin de xing qi, Xin jiao jing shen he Yingguo ke xue zhong xin shi dai de dao lai deng.

Ben shu kao cha le Qing mo min chu de si xiang yan bian,di 1 ci shi jie da zhan dui"wu si"si xiang jie de ying xiang, "wu si"shi qi de wen hua bao shou zhu yi pai bie, jiu yi ba shi bian yu si xiang jie de ying dui yi ji san shi nian dai de Zhongguo si xiang jie, dui Zhongguo jin dai min zu zhu yi de si xiang lai yuan yu xing cheng, "Wu si" hou (...) Liang Qichao de si xiang shu xing, "xue heng pai" yu Bai Bide xin ren wen zhu yi, jiu yi ba shi bian hou Zhongguo min zu zhu yi de xin bian hua, Sulian"yi wu ji hua"dui 30 nian dai Zhongguo zhi shi jie de ying xiang yi ji 1949 nian hou liu zai Da lu de xian dai xin ru jia yu Makesi zhu yi de guan xi deng wen ti deng jin xing le shen ru tan tao. (shrink)