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Liangjiecheng Huang, Weiqiang Li, Zikai Xu, Hongli Sun, Danfeng Ai, Yinfeng Hu, Shiqi Wang, Yu Li, Yanyan Zhou Department of Psychology, Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaCorrespondence: Yu Li; Yanyan Zhou, Department of Psychology, Ningbo University, No. 616 Fenghua Road, Ningbo, Zhejiang, 315211, People’s Republic of China, Email liyu@nbu.edu.cn; zhouyanyan@nbu.edu.cnBackground: Bystander intervention can protect victims from harm in cyberbullying. Previous studies have found that the severity of cyberbullying incidents is one of the important factors affecting decisions to intervene. However, little is known about the mediating and moderating mechanisms underlying this effect.Purpose: The current study explored the effect of the severity of cyberbullying incidents on bystander intention to intervene on social network sites (SNSs) among college students (Experiment 1), the mediating role of feelings of responsibility (Experiment 2) and the moderating role of empathy (Experiment 3).Patients and Methods: We presented cyberbullying incidents with different levels of severity through scenarios including fictive Weibo news reports and comments. Participants were exposed to a fictive cyberbullying incident and asked to complete a questionnaire including measures of the variables of interest.Results: Our results showed that the severity of incidents positively affected bystander intention to intervene through the mediation of feelings of responsibility. Empathy moderated the effect of incident severity on bystander intention to intervene.Conclusion: The results of the current study help to understand the behavior of bystanders in cyberbullying and they provide a practical reference for intervention in cyberbullying incidents.Keywords: cyberbullying, bystander, incident severity, intention to intervene, social network sites

The wide-area measurement system (WAMS) consists of the future power system, increasing geographical sprawl which is linked by the Phasor measurement unit(PMU). Thus, the failure of PMU will cause severe results, such as a blackout of the power system. In this paper, the reliability model of PMU is considered both hardware and software, where it gives a characteristic of correlated failure of hardware and software. Markov process is applied to model PMU, and reliability parameters are given by using symmetrical triangular membership for Type-1 fuzzy reliability analysis. The paper gives insightful results revealing the effective approach for analyzing the reliability of PMU, under a circumstance which lack of sufficient field data.