For a long time, kindergarten literature reading course is often a mere formality, preschool children's reading invalid, random phenomenon. In order to improve preschool children's reading interest and reading comprehension ability, teachers should start from the core quality and deconstruct the characteristics of children's literature. Make use of multiple resources to optimize literary reading materials; Integrate contents in various fields and implement rich curriculum activities; Construct performance evaluation system and form reading evaluation model.

The continuous development of emerging economies represented by China and Russia has exacerbated the changes in the world political and economic landscape, and international organizations represented by the United Nations have led to inefficient dispute resolution mechanisms in international affairs due to their formalism and pluralism. On the contrary, G-groups has shown its flexibility and efficiency in global governance. However, the international community has been questioned G-group’s legitimacy for many years. This paper will take the G7 and G20 as examples, analyze the legitimacy problems in G-groups, explain their reform measures, and propose future reform directions to promote the development of G-groups, so as to help the international community to conduct global governance more effectively.

In the process of English learning, primary school English is an important period of enlightenment. However, teachers’ old-fashioned teaching methods and obscure teaching contents make primary school students less interested in learning English, which will affect students’ entire English learning career. Under this educational background, the education department should analyze the existing problems in English teaching methods, teaching contents and teaching concepts based on the current situation of English teaching in primary schools, aiming to improve the interest of English teaching in primary schools through effective strategies.

Objective: To explore the influencing factors of mental health and the mediating role of self-compassion between family cohesion and mental health. Method: Family Cohesion Scale, Symptom Checklist, and Self-compassion Scale were used to investigate 593 college students in Zhejiang Province. Result: Family Cohesion was negatively correlated with mental health and positively correlated with Self-compass- ion among college students; Self-compassion was negatively correlated with mental health. Self-compassion fully mediates the relationship between the two. Conclusion: The path of family cohesion is indirect, and strengthening Self-compassion education can improve the mental health level of college students.

The low-carbon economy is the major objective of China’s economy, and its goal is to achieve sustainable economic development. The study enriches the literature on the relationship between digital Chinese yuan (E-CNY), low-carbon economy, AI trust concerns, and security intrusion. The rapid growth of Artificial Intelligence (AI) offered more ways to achieve a low-carbon economy. The digital Chinese yuan (E-CNY), based on the AI technique, has shown its nature and valid low-carbon characteristics in pilot cities of China, it will assume important responsibilities and become the key link. However, trust concerns about AI techniques result in a limitation of the scope and extent of E-CNY usage. The study conducts in-depth research from the perspective of AI trust concerns, explores the influence of E-CNY on the low-carbon economy, and discusses the moderating and mediating mechanisms of AI trust concerns in this process. The empirical data results showed that E-CNY positively affects China’s low-carbon economy, and AI trust concerns moderate the positive impact. When consumers with higher AI trust concerns use E-CNY, their feeling of security intrusion is also higher. It affects the growth of trading volume and scope of E-CNY usage. Still, it reduces the utility of China’s low-carbon economy. This study provides valuable management inspiration for China’s low-carbon economy.

The COVID-19 pandemic in 2019 heralded a downturn in the Thai economy, particularly in the tourism and hospitality sectors which rely heavily on international tourists. To decrease the dependence of international tourists, this research outlined three objectives as 1) explore and classify the high-end domestic tourism market among 77 provinces in Thailand, 2) study the potential and readiness of tourism resources and tourism products to cater to the demand of high-end domestic tourists, and 3) suggest tourism management approaches for domestic high-end tourists after the crisis. Both quantitative and qualitative research methodologies were applied to achieve the research objectives. Income was used to identify and segment high-end domestic tourists living in 77 provinces in Thailand, while a verified questionnaire collected data from 1200 respondents nationwide. Forty-one experts from different tourism-related agencies at local and regional levels were targeted using purposive sampling techniques, and semi-structured interviews were conducted to acquire qualitative data. High-end domestic tourists, classified by monthly income, were segmented into Silver (50,000–70,000 THB), Gold (70,001–90,000 THB), Diamond (91,001–110,000 THB), and Platinum groups (Over 110,001 THB). These high-end domestic tourists shared both similarities and differences in tourism needs, preferences, and behaviors. Sixteen provinces in six domestic regions demonstrated the potential and readiness of tourism resources and products to satisfy the needs, preferences, and behaviors of high-end domestic tourists.