Most studies consider that COVID-19 lockdowns lead to mental health problems for females, while the effect of role change on female mental health has been overlooked. This study aimed to explore multiple facets of the risk of mental distress in a sample of Chinese married females aged 21–50 during the COVID-19 lockdowns. A cross-sectional study was carried out with 613 valid responses from married females in the Guangdong province. Our primary tool was a questionnaire using a Kessler-10 scale to detect the probability of mental distress based on the level of nervousness, tiredness, restlessness, and depression. Eighty-eight point three percent of married females possessed a high risk of psychological distress because they frequently felt tired out, hopeless, and restless. The evidence suggests that the lockdown has caused a conflict in the female role to maintain a balance between family and career. Increasing family care responsibilities are positively associated with nervousness, tiredness, and mental disorder. The heterogeneity of the social role in mental wellbeing is explored. Married females whose income was worse off during the lockdown are negatively associated with mental wellbeing. Married females who are employed are found to be less mentally healthy than the self-employed.

As companies are transforming their branding, marketing, operations, and research and development (R&D) by running online communities to build their core competitive advantages in the digital era, the silent majority is still the norm in the online community and has become the focus of online community operations. Thus, it has become the core issue that why silent behavior of online community members occurs and its impact on operation performance of the online community. According to the traditional theory of organizational behavior, this study focuses on the theoretical model of the relationship between proactive personality, silent behavior of online community members (acquiescent, defensive, and prosocial silence), and operation performance of the online community, and further analyzes the impact of community identification on these relationships. Eight hundred online community members in China participated in this study. The results indicate that: (1) proactive personality has a significant negative impact on acquiescent silent and defensive silent behavior of the online community members, and a significant positive impact on prosocial silent behavior of the online community members; (2) The acquiescent silence and defensive silence have a significant negative impact on online community operation performance, whereas prosocial silence has a significant positive impact on community operation performance; (3) The acquiescent silence and defensive silence have a significant mediating effect on the relationship between proactive personality and community operation performance; (4) Online community identification has a moderating effect on the relationship between silent behavior and online community operation performance. The study proposes the mechanisms and double-edged sword effects of the silent behavior of online community members from the perspective of personality traits. On the one hand, it generalizes the research of traditional organizational silent behavior theory to the context of the online community. On the other hand, it provides reference and inspiration for the theoretical research and practical management of silent behavior of online community members.

Students considering a masters in Finance Engineering or Artificial Intelligence in Finance are usually required to have an undergraduate background in science, technology, engineering, or mathematics (STEM). STEM students have a good capacity in mathematics and science, but they may not have studied financial theory. To facilitate the classroom teaching of the Capital Asset Pricing Model (CAPM) for STEM students, this paper seeks to expound on the essence of the theory starting at a two-asset framework. Adopting the concepts proposed by Merton (1972), this paper accomplishes the derivation by virtue of basic mathematical tools such as linear algebra, geometry, and statistics except for calculus. We show that the major aspects of Merton’s derivation of the CAPM for a universe of N assets may also be obtained in a two-asset world. Through the methods of this article, students will learn the in-depth theory of CAPM and its hands-on empirical tool. For example, students will realize that even if investors specify different threshold rewards, their different CAPMs will yield identical pricing for assets and portfolios.