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- 저자 : Xiaohong Ding (검색결과 4 건)
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Jun Ding,Daqi Gao,Xiaohong Chen 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.3
Churn is a defection from a service provider. This study explores the role of social network in customers’ churn behavior .As the saying goes; customer is the god in service-based industries. Since the cost of customer acquisition is much greater than the cost of customer retention, customer churn prediction is more and more important. So far, research on churn prediction has involved user profile factors and social factors, but the analysis lacks interpretability and predictive horizon. In this paper, for a better understanding of churn behavior in MMORPG, we use longitudinal statistical models to examine whether the churn behavior in one person is associated with the churn of his friends on a complete data set of an entire society. Discernible clusters of active persons and inactive persons are visible in the network, and the relationship between people’s churn behavior extends up to three separations. Besides, we provide quantitative evidence for the strong ties hypothesis. The higher the number of common friends two persons have, the influence between them is more significant. At last, we use mixed effects cox models to predict churn in the future. Our study can provide a long forecast horizon, it is an obvious advantage to prevent the churn of a person.
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Design of a Modular Green Closed Internal Cooling Turning Tool for Applications
Tao Wu,Tianjian Li,Xiaohong Ding,Hong Chen,Lei Wang 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.5 No.2
Green machining has been aggressively pursued in the manufacturing industry in recent years. Dry or clean cutting without the hazards of cooling liquid, and their abilities to monitor thermal impact on turning tools in real time have been very appealed to the manufacturing industries. In this study, a modular green closed internal cooling turning tool is presented, in which coolant channel is designed only between an insert and an adaptor. The insert is grouped with the adaptor and designed as a Plug-and-Play component in cooling circuit. Thermal-fluid-structural coupling analysis is employed to evaluate the effects of the internal cooling system with machining process constraints. The numerical simulation results demonstrate that the newly designed internal cooing turning tool could effectively decrease the tool temperature. Preliminary experiments have further proved the effectiveness of the modular green closed internal cooling turning tool system. The study has potentially great significance in improving tooling performance, as well as achieving environmental friendly, economical and sustainable machining.
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Fen-Qiang Li,Juehao Ding,Miao Zheng,Jianlin Xu,Xiaohong Ge,Hui Li,Jun Zhao 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.7
A combination of multi-physics numerical simulation and experiment was conducted to study the magnetic pulse compaction technology driven by two aluminum tubes of tungsten copper powder. Then, the effects of different process parameters on the density and uniformity of the compact were studied by tuning the thickness of the pack and driver tubes and the gap between them. Results show that the density of compact is the highest when the thickness of the driver tube is 1.0 mm. More energy is consumed for force conduction as the thickness of the pack tube increases. Thus, the density of the compact is the highest when the thickness of the packer tube is 0.8 mm. The speed of the driver tube impacting the pack tube also increases with the rise in the gap. Accordingly, the compaction density with the gap of 1.5 mm is the highest under the same other parameters.
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Xie Jianfei,Liu Min,Zhong Zhuqing,Zhang Qiuxiang,Zhou Jianda,Wang Lu,Ma Keke,Ding Siqing,Zhang Xiaohong,Sun Qian,Cheng Andy S.K. 한국간호과학회 2020 Asian Nursing Research Vol.14 No.3
Purpose: From the perspective of positive psychology, our study aimed to explore depressive symptoms and psychological well-being among Chinese nurses, as well as analyze the impacts of character strengths, self-efficacy and social support on the mental health of nurses. Methods: A cross-sectional and descriptive design using five self-reported questionnaires was used to investigate a cohort of 4238 nurses during 2018. A structural equation modeling analysis was used to verify a hypothetical model linking character strengths, self-efficacy, social support, depressive symptoms, and psychological well-being. Results: The prevalence of depression among this cohort of Chinese nurses was 58.1%. The mean scores for caring, inquisitiveness, and self-control were 19.93 (SD ¼ 2.82), 15.94 (SD ¼ 3.00), and 16.34 (SD ¼ 2.95), respectively. The hypothesized model was a good fit of the data (c2/df ¼ 1.77, p ¼ .183, root mean square error of approximation ¼ 0.04, goodness of fit index ¼ 1.00, comparative fit index ¼ 1.00, TuckereLewis index ¼ 1.00). Except for the path from self-control to depression, the other hypothetical paths investigated were statistically significant. Conclusion: Character strengths were directly and positively associated with psychological well-being. Inquisitiveness was the strongest direct protective factor for depression. In addition, character strengths indirectly alleviated depression and increased psychological well-being through mediating variables of social support and self-efficacy. This study should alert nurse managers that more attention should be paid to the character strengths and mental health of nurses. This study provides evidence for interventions based on character strengths as a management strategy to support the mental health of nurses.
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