The pattern and scale of commerce worldwide have been greatly transformed by the Fourth Industrial Revolution and technological advancement; digital trade has become the primary form of trade in the digital economy. On the basis of information network infrastructure, information technology level, digital industrialization level, and industrial digitalization level, this study establishes a comprehensive assessment system that applies an entropy-TOPSIS model to evaluate digital trade development level in China. The results indicate that digital trade in China was steadily growing between 2010 and 2019. A principal component analysis is conducted to identify factors affecting the digital trade development level in China. The analysis results suggest that Internet development, population income, industrial structure, payment convenience level, fixed asset investment, online transaction scale, and economic development all have positive effects on the digital trade development level in China, with payment convenience level having the greatest influence. By contrast, state intervention and degree of dependence on foreign trade have a negative effect on digital trade development.
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http://dx.doi.org/10.3389/fpsyg.2022.837885 | DOI Listing |
Nat Food
January 2025
The Rowett Institute, University of Aberdeen, Aberdeen, UK.
Seafood can contribute towards healthy and sustainable food systems by improving public health and helping achieve net zero carbon emissions. Here, we provide a high-resolution perspective on UK seafood supplies and nutrient flows at the species level. We mapped seafood production (capture and aquaculture), trade (imports and exports), purchases (within and out of home) and seafood consumption between 2009 and 2020.
View Article and Find Full Text PDFPLoS One
December 2024
School of Economics and Management, Quanzhou University of Information Engineering, Quanzhou, Fujian, China.
Informed trading, driven by information asymmetry and market imperfections, varies in presence across markets. This form of trading not only distorts market transaction prices and hinders resource allocation but also initiates adverse selection transactions, increasing liquidity risks and potentially precipitating market crashes, thereby impeding the market's healthy development. Utilizing information asymmetry theory and principal-agent theory, this paper analyzes data from A-share listed companies from 2011 to 2022.
View Article and Find Full Text PDFTrop Med Infect Dis
December 2024
National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, ACT 2601, Australia.
Hepatitis B remains a major public health issue in Vietnam. Mandatory reporting to the national electronic communicable disease surveillance system (eCDS) has been required since July 2016. We conducted an evaluation of the hepatitis B surveillance system in Ninh Binh, the province with the highest reported burden of hepatitis B in Northern Vietnam, between 2017 and 2022.
View Article and Find Full Text PDFMetabolites
December 2024
Department of Radiation Convergence Engineering, College of Software and Digital Healthcare Convergence, Yonsei University, 1, Yeonsedae-gil, Heungeop-myeon, Wonju 26493, Republic of Korea.
Background/objectives: The acute stress response affects brain metabolites closely linked to the tricarboxylic acid (TCA) cycle. This response involves time-dependent changes in hormones and neurotransmitters, which contribute to resilience and the ability to adapt to acute stress while maintaining homeostasis. This physiological mechanism of metabolic dynamics, combined with time-series analysis, has prompted the development of new methods to observe the relationship between TCA cycle-related brain metabolites.
View Article and Find Full Text PDFSleep Med
December 2024
School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, China. Electronic address:
Aims: The objective of the current study was to investigate the dynamic functional connectivity among large-scale brain networks in patients with insomnia, and to assess the efficacy of repetitive transcranial magnetic stimulation (rTMS) treatment in these individuals.
Methods: Resting-state functional magnetic resonance imaging (rs-fMRI) data from 62 insomnia patients and 69 healthy controls were used to compare differences in dynamic functional connectivity between the two groups. A total of 26 insomnia patients underwent rTMS for four weeks.
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