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Wei Guo [10]Weichuan Guo [4]Weixiao Guo [2]Weiqi Guo [1]
Wei L. Guo [1]Weiying Guo [1]Weihua Guo [1]
  1.  45
    Ethical Leadership and Team-Level Creativity: Mediation of Psychological Safety Climate and Moderation of Supervisor Support for Creativity.Yidong Tu, Xinxin Lu, Jin Nam Choi & Wei Guo - 2019 - Journal of Business Ethics 159 (2):551-565.
    This study explores how and when ethical leadership predicts three forms of team-level creativity, namely team creativity, average of member creativity, and dispersion of member creativity. The results, based on 230 members of 44 knowledge work teams from Chinese organizations, showed that ethical leadership was positively related to team creativity and average of member creativity but was negatively related to dispersion of member creativity. Consistent with the predictions of uncertainty reduction theory, psychological safety climate mediated the relationship between ethical leadership (...)
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  2.  55
    Unethical peer behavior and employee performance: a moderated mediation model of deontic justice and ethical climate.Chenjing Gan, Linbo Yang, Weixiao Guo & Duanxu Wang - 2020 - Ethics and Behavior 30 (3):197-212.
    This study proposes a moderated mediation model based on deontic justice theory to investigate the impact of unethical peer behavior on employee performance. Data were collected in China through two survey studies, with two measurement points in each study. The data in study 1 were obtained from 271 employees of 17 firms, and the data in study 2 were collected from 225 employees of 9 firms. Confirmatory factor analysis was conducted to confirm the factorial validity of the measures employed in (...)
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  3.  92
    Adolescents’ Algorithmic Resistance to Short Video APP’s Recommendation: The Dual Mediating Role of Resistance Willingness and Resistance Intention.Xing Lv, Yang Chen & Weiqi Guo - 2022 - Frontiers in Psychology 13.
    Adolescents have gradually become a vital group of interacting with social media recommendation algorithms. Although numerous studies have been conducted to investigate negative reactions that the dark side of recommendation algorithms brings to social media users, little is known about the resistance intention and behavior based on their agency in the daily process of encountering algorithms. Focusing on the concept of algorithm resistance, this study used a two-path model to investigate the algorithmic resistance of rural Chinese adolescents in their daily (...)
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  4.  5
    Lost in translation: How neurons cope with tRNA decoding.Wei Guo, Stefano Russo & Francesca Tuorto - 2024 - Bioessays 46 (9):2400107.
    Post‐transcriptional tRNA modifications contribute to the decoding efficiency of tRNAs by supporting codon recognition and tRNA stability. Recent work shows that the molecular and cellular functions of tRNA modifications and tRNA‐modifying‐enzymes are linked to brain development and neurological disorders. Lack of these modifications affects codon recognition and decoding rate, promoting protein aggregation and translational stress response pathways with toxic consequences to the cell. In this review, we discuss the peculiarity of local translation in neurons, suggesting a role for fine‐tuning of (...)
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  5.  43
    Condom use at sexual debut among chinese youth.Wei Guo, Zheng Wu, Christoph M. Schimmele & Xiaoying Zheng - 2013 - Journal of Biosocial Science 46 (2):1-16.
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  6.  8
    二十世纪中国礼学硏究论集.Qitai Chen, Weichuan Guo & Shaochuan Zhou (eds.) - 1998 - Beijing Shi: Xin hua shu dian jing xiao.
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  7. Er shi shi ji Zhongguo li xue yan jiu lun ji.Qitai Chen, Weichuan Guo & Shaochuan Zhou (eds.) - 1998 - Beijing Shi: Xin hua shu dian jing xiao.
     
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  8.  31
    MOFSRank: A Multiobjective Evolutionary Algorithm for Feature Selection in Learning to Rank.Fan Cheng, Wei Guo & Xingyi Zhang - 2018 - Complexity 2018:1-14.
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  9. Li ze xue.Wei Guo - 1977 - Gaoxiong: Zong jing xiao fu wen shu ju.
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  10. Lao Zhuang zhe xue yu dao xue.Wei Guo - 1977 - Jiayi: Fa xing zhe Xing guo chu ban she.
     
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  11. Ru jia li zhi yu Zhongguo xue shu: shi xue yu ru, dao, shi san jiao lun ji.Weichuan Guo - 2002 - Beijing: Jing xiao Xin hua shu dian.
  12.  60
    Substation Equipment 3D Identification Based on KNN Classification of Subspace Feature Vector.Weiying Guo, Yong Ji, Yong Luo & Yan Zhou - 2019 - Journal of Intelligent Systems 28 (5):807-819.
    Aiming to realize rapid and efficient three-dimensional identification of substation equipment, this article proposes a new method in which the 3D identification of substation equipment is based on K-nearest neighbor classification of subspace feature vector. First of all, the article uses octree encoding to reduce and denoise the point cloud data obtained by a 3D laser scanner. Secondly, position calibration and size standardization are used for the point cloud after pretreatment. Then, the normalized point cloud is divided into a number (...)
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  13.  19
    When Does Educational Level Diversity Foster Team Creativity? Exploring the Moderating Roles of Task and Personnel Variability.Weixiao Guo, Chenjing Gan & Duanxu Wang - 2021 - Frontiers in Psychology 12.
    This study explores how the variability of the work environment shapes the impact of educational level diversity on team creativity. By adopting an integrative framework—“status characteristics–information elaboration” model as a theoretical lens, we propose and examine the moderating roles of task and personnel variability in educational level diversity–team creativity relationship. Utilizing multiple survey data collected from 90 knowledge work teams, the empirical results indicate that educational level diversity is more conducive to team creativity when teams are confronted with more variable (...)
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  14.  6
    Xian Qin ru jia qing li zhu yi dao de zhe xue xing tai yan jiu =.Weihua Guo - 2018 - Beijing: Zhongguo she hui ke xue chu ban she.
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  15.  8
    Zhongguo Li Shi Ruo Gan Zhong Yao Xue Shu Wen Ti Kao Lun.Weichuan Guo - 2009 - Guo Jia Tu Shu Guan Chu Ban She.
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  16. Zhongguo zhe xue shi yin wen zhu.Wei Guo - 1978
     
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  17.  25
    I-GANs for Infrared Image Generation.Bing Li, Yong Xian, Juan Su, Da Q. Zhang & Wei L. Guo - 2021 - Complexity 2021:1-11.
    The making of infrared templates is of great significance for improving the accuracy and precision of infrared imaging guidance. However, collecting infrared images from fields is difficult, of high cost, and time-consuming. In order to address this problem, an infrared image generation method, infrared generative adversarial networks, based on conditional generative adversarial networks architecture is proposed. In I-GANs, visible images instead of random noise are used as the inputs, and the D-LinkNet network is also utilized to build the generative model, (...)
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  18.  21
    The Effect of Task Difficulty and Self-Contribution on Fairness Consideration: An Event-Related Potential Study.Liyan Xu, Biye Wang & Wei Guo - 2022 - Frontiers in Psychology 13.
    Self-contribution may be an influential factor in fairness consideration and consequent behavioral decisions. Few studies have investigated simultaneous effects of task difficulty and self-contribution on fairness consideration outcomes and associated neurophysiological responses. To elucidate modulation effects of task difficulty and self-contribution on fairness consideration, 30 recruited participants played a modified ultimatum game while undergoing event-related potential measurements. A 2 × 3 × 2 within-subject design was adopted. A significant interaction between fairness type and contribution was observed in the behavioral data, (...)
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  19.  26
    Robot Motion Planning Method Based on Incremental High-Dimensional Mixture Probabilistic Model.Fusheng Zha, Yizhou Liu, Xin Wang, Fei Chen, Jingxuan Li & Wei Guo - 2018 - Complexity 2018:1-14.
    The sampling-based motion planner is the mainstream method to solve the motion planning problem in high-dimensional space. In the process of exploring robot configuration space, this type of algorithm needs to perform collision query on a large number of samples, which greatly limits their planning efficiency. Therefore, this paper uses machine learning methods to establish a probabilistic model of the obstacle region in configuration space by learning a large number of labeled samples. Based on this, the high-dimensional samples’ rapid collision (...)
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