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  1. Zhuzi li xue yu Wuyishan wen hua.Xiaofan Fu &Qingguo Xie (eds.) -2008 - Xiamen: Xiamen da xue chu ban she.
     
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  2.  15
    Playing-Dumb Behavior of Trainers During Online Streaming and Trainee’s Burnout Behavior: Mediating Role of Psychological Disengagement.Qing Xie,Shidong Li,Haider A. Malik,Supat Chupradit,Priyanut W. Chupradit &Abdul Qadus -2022 -Frontiers in Psychology 12.
    A trainer’s behavior is a crucial factor, and it can affect the cognitive engagement of trainees in parts of training and development programs; thus, playing-dumb behavior by a trainer can cause lower attachment and less interested trainees during courses. This study was planned to investigate the impact of trainers’ playing-dumb behavior on trainees’ burnout behavior under the mediating role of psychological disengagement in online broadcasting. This study followed a convenience sampling technique under a cross-sectional research design, and data are collected (...) from 371 trainees through a questionnaire. This study follows structural equation modeling to model the path relationship among study constructs. Results of this study indicate the presence of a relationship between trainers’ dumb behavior and its impact on trainee psychological disengagement, which leads to burnout. Findings of this study contribute to the inclusive body of knowledge pertaining to playing-dumb behavior and trainees’ burnout during the course. (shrink)
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  3. Xian Qin liang Han dao jia ke ji si xiang yan jiu.Qingguo Xie -2007 - Beijing: Dong fang chu ban she.
     
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  4. Zhuangzi de chuan bo si xiang.Qingguo Xie -2019 - Beijing Shi: Jiu zhou chu ban she.
     
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  5.  31
    Associations of the Disrupted Functional Brain Network and Cognitive Function in End-Stage Renal Disease Patients on Maintenance Hemodialysis: A Graph Theory-Based Study of Resting-State Functional Magnetic Resonance Imaging.Die Zhang,Yingying Chen,Hua Wu,Lin Lin,Qing Xie,Chen Chen,Li Jing &Jianlin Wu -2021 -Frontiers in Human Neuroscience 15.
    Objective: Cognitive impairment is a common neurological complication in patients with end-stage renal disease undergoing maintenance hemodialysis. Brain network analysis based on graph theory is a promising tool for studying CI. Therefore, the purpose of this study was to analyze the changes of functional brain networks in patients on MHD with and without CI by using graph theory and further explore the underlying neuropathological mechanism of CI in these patients.Methods: A total of 39 patients on MHD and 25 healthy controls (...) matched for age, sex, and years of education were enrolled in the study. Resting-state functional magnetic resonance imaging and T1-weighted high-resolution anatomical data were obtained, and functional brain networks for each subject were constructed. The brain network parameters at the global and regional levels were calculated, and a one-way analysis of covariance was used to compare the differences across the three groups. The associations between the changed graph-theory parameters and cognitive function scores in patients on MHD were evaluated using Spearman correlation analysis.Results: Compared with HCs, the global parameters [sigma, gamma, and local efficiency ] in both patient groups decreased significantly. The clustering coefficient in patients with CI was significantly lower than that in the other two groups. The regional parameters were significantly lower in the right superior frontal gyrus, dorsolateral and gyrus rectus of patients with CI than those of patients without CI; however the nodal local efficiency in the left amygdala was significantly increased. The global Cp and regional parameters in the three brain regions were significantly correlated with the cognitive function scores.Conclusion: This study confirmed that the topology of the functional brain network was disrupted in patients on MHD with and without CI and the disruption of brain network was more severe in patients with CI. The abnormal brain network parameters are closely related to cognitive function in patients on MHD. (shrink)
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