The unwillingness of college students to use recycled water has become a key barrier to sewage recycling on campus, and it is critical to strengthen their inclination to do so. This paper used college students in Xi’an as a case study and adopted event-related potential technology to explore the effect of social norms on the willingness to use recycled water and the neural mechanism of cognitive processing. The results suggested the following: (1) The existence of social norms might influence college students’ willingness to use recycled water. (2) When individuals’ willingness to use recycled water is lower than the social norm, there is a bigger feedback-related negative amplitude. (3) College students pay more attention to social norms in groups with closer social distance. These findings can be used to provide a scientific basis for persuading the public to use recycled water from the perspective of the social norm to drive public acceptability.

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The COVID-19 outbreak in China became a major public health issue. Manufacture industry in China is among many scopes that have been impacted by the pandemic. The manufacturing workers have undergone the pressure of being forced to stop work and later on resumption to work. Under this situation, their mental and social status are often ignored by people in comparison to many other groups of people. Under this circumstance, this paper is to research and analyze the social and mental status of China's manufacturing workers under the COVID-19 We used a cross-sectional survey online on 10098 participants who are manufacturing workers from Xing Group Co., LTD on their social and mental status under the COVID-19 pandemic. A pressure index was developed according to the survey. It shows that the average stress score of manufacturing workers (pressure index) is 20.337 (maximum = 49, minimum = 0), and the standard deviation is 9.28. Different self-awareness, sources of stress, income expenditure had an impact on manufacturing workers' pressure index. In this paper, several suggestions are proposed to companies and government to help them took better care of these manufacturing workers.