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Many countries or regions around the world have seen their economic growth slow in recent years due to the impact of the COVID-19 pandemic. It is of great significance to the world that China's economy is the first to recover from the impact of COVID-19. This paper selects the data of various economic development indicators of China from 2002 to 2021, establishes the multiple linear regression model of economic growth, and makes a preliminary analysis of the influencing factors of China's economic growth. This paper explores the influence of export, consumption and investment on China's economic growth. Finally, it puts forward relevant suggestions for further high-quality sustainable development of China's economy.

Background: Although thyroid cancer (THCA) is one of the most common type of endocrine malignancy, its highly complex molecular mechanisms of carcinogenesis are not completely known. Materials and Methods: In this study, weighted gene co-expression network analysis (WGCNA) was utilized to construct gene co-expression networks and evaluate the relations between modules and clinical traits to identify potential prognostic biomarkers for THCA patients. RNA-seq data and clinical data were downloaded from The Cancer Genome Atlas (TCGA). Other independent datasets from the Gene Expression Omnibus (GEO) database and the Human Protein Atlas database were performed to validate findings. Results: Finally, 11 co-expression modules were constructed and four hub genes, CCDC146, SLC4A4, TDRD9 and MUM1L1, were identified and validated statistically, which were considerably interrelated to worse survival of THCA patients. Conclusion:This research study revealed four hub genes may be considered candidate prognostic biomarkers and potential therapeutic targets for THCA patients in the future.

As an infrastructure in the field of green finance, green payment plays an important role in guiding the green-oriented allocation of social resources and the public's awareness of environmental protection, and promoting the greening, recycling and low-carbonization of the production methods of enterprises and the consumption patterns of individuals and households. This paper explores the basis of green payment development in China from five aspects: theory, market, policy, finance and digital ecology, and examines the positioning of green payment to help achieve the goal of "carbon neutrality" at three levels: macro, meso and micro. In the light of the lifestyles of Chinese residents, the specific application scenarios of green payment in China, such as transportation, low-carbon life and paperless payment, are compiled. We use electronic payment methods such as WeChat payment to explore the mode of green payment ecosystem to achieve low-carbon development, and explore the practical path of green payment to help "carbon neutrality" in both broad and narrow sense from the perspective of industrial chain. Finally, the above analysis is combined with the practical significance of green payment for carbon neutrality and the suggestions for the future development of green payment in different dimensions.