Yue Wang

Human population genetic research (HPGR) seeks to identify the diversity and variation of the human genome and how human group and individual genetic diversity has developed. This book asks whether developing countries are well prepared for the ethical and legal conduct of human population genetic research, with specific regard to vulnerable target group protection. The book highlights particular issues raised by genetic research on populations as a whole, such as the capacity for current frameworks of Western developed countries to provide adequate protections for target groups in human population genetic research, and explores potential groups of people that may suffer harm in this kind of research. Using The People's Republic of China as a key example, Yue Wang argues that since the target groups of HPGR are almost always vulnerable groups from isolated and rural areas of developing countries, the ethical and legal frameworks for human subject protection need to be reconsidered in order to eliminate, or at least reduce, the vulnerability of those groups. While most research in this field focuses on the impact on individuals, this book breaks new ground in exploring how the interests of target groups are also seriously implicated in genetic work. The book argues that current regulations are far from sufficient to prevent harm to vulnerable groups and puts forward an alternative model for group protection in the context of human population genetic research in developing countries. The book will be of great interest to students and academics of medical law, ethics, and the implications of genetic research.

The outbreak of COVID-19 at the end of 2019 has become the most devastating public health event of the 21st century. The different performances of governments and people in different countries and regions show that national values may play an important role in the prevention and control of COVID-19. Based on data from the seventh wave of World Values Survey and the Human Freedom Index report in 2020, three national value factors are extracted in this manuscript, including religious belief, government satisfaction and individual freedom. Then ordinary least squares regression regression model is constructed to explore the influence of these three value factors on the prevention and control of COVID-19 and some heterogeneity analysis is implemented. The results show that religious belief and individual freedom significantly increased the COVID-19 infection rate, while government satisfaction significantly reduced the COVID-19 infection rate. The study findings have the ability to hold up after a range of robustness. For countries and regions with different COVID-19 testing policies, the influence of national values is different. Only in countries and regions with high testing rate policies and complete systems of the prevention and control of COVID-19, the influence of national values is significant. Based on these findings, a series of targeted policy recommendations for building national values in the post-epidemic era are proposed.

Music education is one of human kind most universal forms of expression and communication, and it can be found in the daily lives of people of all ages and cultures all over the world. As university life is a time when students are exposed to a great deal of stress, it can have a negative impact on their mental health. Therefore, it is critical to intervene at this stage in their life so that they are prepared to deal with the pressures they will face in the future. The aim of this study was to see how music education affects university students’ mental health, with emotional intelligence functioning as a moderator. The participants in this research were graduate students pursuing degrees in music education. Non probability convenience sampling technique was used to collect and evaluate the data from 265 students studying in different public and private Chinese universities. The data was gathered at a time, and therefore, the study is cross-sectional. The data was collected from January 2022 till the end of March 2022. Many universities have been closed because to COVID-19, therefore data was also gathered online through emails. The data was analyzed quantitatively using the partial least squares –structural equation modeling technique. The findings backed up the hypotheses. The results revealed that there is a significant effect of music education on student’s mental health. Also, emotional intelligence as a moderator significantly and positively moderates the relationship between music education and students’ mental health. Music has numerous physiological aspects, and listening to it on a daily basis may be beneficial to your general health and well-being. Furthermore, musicians and music students with a high level of emotional intelligence have a better chance of not just performing well in school, college and university or in the music industry, but also of maintaining mental health and improving it.

Among social media and scholars’ reviews, gender inequality exists in Japan’s corporates in a format of the wage gap and unbalanced employment ratio between genders. The key drivers of such phenomenon include historical culture, social norm, and employment mechanism. The traditional culture assigns the responsibility of family care to females. Women workers who received high education still face the same prejudice in the workplace. Such a situation makes them stay in a challenging employment environment. By contrast, the male takes on duties to support the family financially. However, such gender-biased allocation causes a series of problems such as discrimination and low efficiency. Given Japan’s significance in the global economy, these impacts brought by gender inequality push Japan’s core social value away from the world’s typical idea. By considering such effects, this chapter discusses a path to reduce the level of inequality between genders in the social employment mechanism. Firstly, the study introduces the background of Japanese corporate culture, then discusses the circumstances that women employees face in the workplace, digs key reasons that lead to the existing problems, and explores the solution to such social issue. Besides, the study applies the theory of corporate social responsibility to explain the current issues in Japan’s labour market. This research enables us to deeply understand why gender equity is essential in the whole socialeconomic structure.

Are risk-takers more likely to engage in unethical behaviors? We examined the relationship between risk-taking propensity and cheating in two experimental studies. In Study 1, we examined the relationship between subjects’ risk-taking propensity and their actual self-serving dishonesty using a gambling-like task. The results suggested that risk-taking propensity, measured using a behavioral approach, was positively correlated with actual self-serving dishonest behavior. In Study 2, we measured participants’ performances using a matrices test and found that the positive correlation still held. We found that participants with high risk-taking propensity reported a lower perceived probability of being detected, which might drive their dishonest behavior.

In this study, we sorted out the research hotspots in sports science by bibliometric method and also used social network analysis to explore the relationship between knowledge networks and their scientific performance. We found 38 high-frequency keywords with obvious curricular nature or classical direction of sports science research and 4 high-frequency research groups. The topics of hotspots covered the secondary disciplines of sports science: physical education and training, national traditional sports, sports human science, and sports humanities and sociology. However, sports human science research is less; therefore, accelerating the research of sports human science is the focus of future research. Meanwhile, we use social network structure analysis to study the relationship between knowledge elements in knowledge networks and their scientific performance. In addition to betweenness centrality, the closeness centrality, clustering coefficient, and structural holes of knowledge elements are significantly and positively related to their influence. In the relationship between knowledge elements and productivity, betweenness centrality and closeness centrality show significant positive correlations, and clustering coefficient and structural hole show significant negative correlations. Therefore, knowledge networks can be used to predict the scientific performance of knowledge elements.