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Guangming Lu [4]Guangli Lu [3]Guang Lu [2]Guangzhi Lu [1]
Guangsen Lu [1]
  1.  35
    Ethical Leadership and Loyalty to Supervisor in China: The Roles of Interactional Justice and Collectivistic Orientation.Huaiyong Wang, Guangli Lu & Yongfang Liu - 2017 - Journal of Business Ethics 146 (3):529-543.
    This study examines the relation of ethical leadership with loyalty to supervisor, as well as mediating and moderating variables of this relation by proposing a moderated mediation model. Specifically, we employed time-lagged research design to collect two waves of data from 395 supervisor-subordinate dyads in 74 teams, and used multilevel structural equation modeling to test the moderated mediation model. Results indicated that ethical leadership was positively related to loyalty to supervisor, interactional justice mediated the relationship between ethical leadership and loyalty (...)
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  2. Correlations between smartphone addiction and alexithymia, attachment style, and subjective well-being: A meta-analysis.Yueming Ding, Haitao Huang, Yiming Zhang, Qianwen Peng, Jingfen Yu, Guangli Lu, Huifang Wu & Chaoran Chen - 2022 - Frontiers in Psychology 13.
    BackgroundSmartphone addiction has become a social problem that affects peoples’ quality of life and is frequently reported to be correlated with alexithymia, avoidant or anxious attachment styles, and subjective well-being. This study aimed to investigate the relationship between SA and alexithymia, attachment style, and subjective well-being.MethodsA meta-analysis was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The following electronic databases were searched: PubMed, Web of Science, Embase, PsycINFO, PsycArticles, China National Knowledge Infrastructure, WANFANG DATA, and Chongqing (...)
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  3.  4
    Saliency-aware regularized graph neural network.Wenjie Pei, WeiNa Xu, Zongze Wu, Weichao Li, Jinfan Wang, Guangming Lu & Xiangrong Wang - 2024 - Artificial Intelligence 328 (C):104078.
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  4.  75
    Sex Differences in Re-experiencing Symptoms Between Husbands and Wives Who Lost Their Only Child in China: A Resting-State Functional Connectivity Study of Hippocampal Subfields.Yifeng Luo, Yu Liu, Zhao Qing, Li Zhang, Yifei Weng, Xiaojie Zhang, Hairong Shan, Lingjiang Li, Rongfeng Qi, Zhihong Cao & Guangming Lu - 2021 - Frontiers in Human Neuroscience 15.
    Background: Losing one’s only child may lead to post-traumatic stress disorder, of which re-experiencing is the core symptom. However, neuroimaging studies of sex differences in re-experiencing in the context of the trauma of losing one’s only child and PTSD are scarce; comparisons of the functional networks from the hippocampal subfields to the thalamus might clarify the neural basis.Methods: Thirty couples without any psychiatric disorder who lost their only child, 55 patients with PTSD, and 50 normal controls underwent resting-state functional magnetic (...)
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  5.  17
    Distributed Functional Connectome of White Matter in Patients With Functional Dyspepsia.Qiang Xu, Yifei Weng, Chang Liu, Lianli Qiu, Yulin Yang, Yifei Zhou, Fangyu Wang, Guangming Lu, Long Jiang Zhang & Rongfeng Qi - 2021 - Frontiers in Human Neuroscience 15.
    Purpose: We aimed to find out the distributed functional connectome of white matter in patients with functional dyspepsia.Methods: 20 patients with FD and 24 age- and gender-matched healthy controls were included into the study. The functional connectome of white matter and graph theory were used to these participants. Two-sample t-test was used for the detection the abnormal graph properties in FD. Pearson correlation was used for the relationship between properties and the clinical and neuropshychological information.Results: Patients with FD and healthy (...)
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  6.  12
    An Adaptive Parallel Method for Indexing Transportation Moving Objects.Kun-lun Chen, Chuan-wen Li, Guang Lu, Jia-Quan Li & Tong Zhang - 2021 - Complexity 2021:1-11.
    Transportation cyber-physical systems are constrained by spatiality and real-time because of their high level of heterogeneity. Therefore, applications like traffic control generally manage moving objects in a single-machine multithreaded manner, whereas suffering from frequent locking operations. To address this problem and improve the throughput of moving object databases, we propose a GPU-accelerated indexing method, based on a grid data structure, combined with quad-trees. We count object movements and decide whether a particular node should be split or be merged on the (...)
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  7.  5
    "Fa yan" "Yang Xiong ji" ci lei yan jiu =.Guang Lu - 2011 - Beijing: Gao deng jiao yu chu ban she.
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  8.  1
    Ji chu mei xue.Guangzhi Lu - 1988 - [Hefei shi]: Anhui sheng xin hua shu dian fa xing.
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  9.  2
    Luo xue ji qi Zhongzhou hou xue.Guangsen Lu & Lianzhang Lu (eds.) - 1999 - Kaifeng Shi: Henan Sheng Xin hua shu dian fa xing.
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  10.  9
    The relation between coping style and posttraumatic growth among patients with breast cancer: A meta-analysis.Xiao Wan, Haitao Huang, Qianwen Peng, Yiming Zhang, Jiwei Hao, Guangli Lu & Chaoran Chen - 2022 - Frontiers in Psychology 13.
    Posttraumatic growth has been correlated with coping style among patients with breast cancer. However, to date, there is no consensus on the extent to which coping style is associated with PTG in patients with breast cancer. Therefore, we performed a meta-analysis to quantitatively synthesize previous findings. Based on the PRISMA method, this study employed a random effects model using the Stata software to calculate the pooled correlation coefficient and examined a range of moderators: cancer stage, publication type, participants’ age, and (...)
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  11.  29
    BCCT: A GUI Toolkit for Brain Structural Covariance Connectivity Analysis on MATLAB.Qiang Xu, Qirui Zhang, Gaoping Liu, Xi-Jian Dai, Xinyu Xie, Jingru Hao, Qianqian Yu, Ruoting Liu, Zixuan Zhang, Yulu Ye, Rongfeng Qi, Long Jiang Zhang, Zhiqiang Zhang & Guangming Lu - 2021 - Frontiers in Human Neuroscience 15.
    Brain structural covariance network can delineate the brain synchronized alterations in a long-range time period. It has been used in the research of cognition or neuropsychiatric disorders. Recently, causal analysis of structural covariance network, winner-take-all and cortex–subcortex covariance network, and modulation analysis of structural covariance network have expended the technology breadth of SCN. However, the lack of user-friendly software limited the further application of SCN for the research. In this work, we developed the graphical user interface toolkit of brain structural (...)
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