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2,304 results on '"Liu, Yuxin"'

229. Linking autonomy support and health at work: The self-determination theory perspective

Author

Liu, Yuxin, Raza, Jamshed, Zhang, Jianwei, Zhu, Nan, and Gul, Habib

Subjects
Workers -- Health aspects, Employee motivation -- Evaluation, Psychology and mental health
Abstract

Based on self-determination theory, this paper formulated and confirmed a theoretical model linking autonomy support and employee health at work via several intervening variables. In total, 828 randomly selected professional employees were surveyed from six total companies in China: three from the manufacturing industry and three from the service industry. The questionnaire responses of these employees were collected and checked through structural equation model analyses. The results demonstrated that, as anticipated, autonomy support positively influenced basic psychological needs satisfaction, which, in turn, had a positive influence on the autonomous motivation of employees and negatively impacted controlled motivation. Correspondingly, autonomous motivation had a significantly positive effect and controlled motivation had a significantly negative effect on employee health at work. We also evaluated the impact of trait affect, i.e., the positive affect and negative affect experienced by employees at work, on the linkage between autonomy support and basic psychological needs satisfaction. Positive affect strengthened this relationship, while negative affected weakened it. This paper enables the progression of future theoretical research on understanding how autonomy support can influence employee health, which will add knowledge to the occupational health psychology literature. To conclude, theoretical contributions and managerial implications are highlighted., Author(s): Yuxin Liu [sup.1] , Jamshed Raza [sup.1] , Jianwei Zhang [sup.2] , Nan Zhu [sup.1] , Habib Gul [sup.1] Author Affiliations: (1) grid.443284.d, 0000 0004 0369 4765, Business School, [...]

Published
2022
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230. Gearbox fault diagnosis based on Gramian angular field and TLCA-MobileNetV3 with limited samples

Author

Dou Shuihai, Cheng Xuemin, Du Yanping, Wang Zhaohua, and Liu Yuxin

Subjects
gearbox fault diagnosis, gramian angular field, tlca-mobilenetv3, varying working conditions, cross component, limited samples, Technology
Abstract

Gearbox fault diagnosis based on traditional deep learning often needs a large number of samples. However, the gearbox fault samples are limited in practical engineering, which could lead to poor diagnosis performance. Based on the above problems, this paper proposes a gearbox fault diagnosis method based on Gramian angular field (GAF) and TLCA-MobileNetV3 to achieve fast and accurate limited sample recognition under varying working conditions, and further achieve the cross-component fault diagnosis within the gearbox. First, the 1D signals are converted into 2D images through GAF. Second, a lightweight convolutional neural network is established. Coordinate attention (CA) is integrated into the network to establish remote dependency in space and improve the ability of feature extraction. The optimal strategy for model training is determined. Finally, a transfer learning strategy is designed. The lower structures of network are frozen. The higher structures of network are fine-tuned using limited samples. Through experimental verification, the proposed network could achieve limited sample fault diagnosis under varying working conditions and cross-component conditions.

Published
2024
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231. A tissue-like neurotransmitter sensor for the brain and gut

Author

Li, Jinxing, Liu, Yuxin, Yuan, Lei, Zhang, Baibing, Bishop, Estelle Spear, Wang, Kecheng, Tang, Jing, Zheng, Yu-Qing, Xu, Wenhui, Niu, Simiao, Beker, Levent, Li, Thomas L., Chen, Gan, Diyaolu, Modupeola, Thomas, Anne-Laure, Mottini, Vittorio, Tok, Jeffrey B.-H., Dunn, James C. Y., Cui, Bianxiao, Pașca, Sergiu P., Cui, Yi, Habtezion, Aida, Chen, Xiaoke, and Bao, Zhenan

Published
2022
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