Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

In order to study the driving force of China's rapid economic development in the past ten years, the study takes Guizhou, Yunnan, and Guangxi as a case study, focusing on the big data assets exchange (GBDEx) and Beibu Gulf Economic Zone, and discusses the impact of Internet plus economic and government data and the big data system on regional economy. Finally, it is believed that the Internet and big data fully avoid the disadvantages of traffic distance between the western region and the eastern region, make full and efficient cooperation between enterprises and institutions in the central and western regions and Chinese and foreign economic entities, and strengthen the control of economic behavior from the big data level with the support of the service-oriented government. The information entropy output from the Internet big data system has led to a significant entropy reduction process in China's economic environment and a more orderly economic system, which is also an important reason for the rapid development of China's economy.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692014PMC
http://dx.doi.org/10.1155/2021/5990655DOI Listing

Publication Analysis

Top Keywords

big data
24
regional economy
8
data system
8
internet big
8
data
7
economic
7
big
6
impact regional
4
economy industrial
4
industrial development
4

Similar Publications

Multi-region ultrasound-based deep learning for post-neoadjuvant therapy axillary decision support in breast cancer.

EBioMedicine

September 2025

Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, 264000, PR China; Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, 264000, PR China. Electronic address:

View Article and Find Full Text PDF

We present the first constraints on primordial magnetic fields from the Lyman-α forest using full cosmological hydrodynamic simulations. At the scales and redshifts probed by the data, the flux power spectrum is extremely sensitive to the extra power induced by primordial magnetic fields in the linear matter power spectrum, at a scale that we parametrize with k_{peak}. We rely on a set of more than a quarter million flux models obtained by varying thermal and reionization histories and cosmological parameters.

View Article and Find Full Text PDF

Trust or money? Barriers to health and healthcare behavior during the COVID-19 pandemic.

PLoS One

September 2025

Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America.

This study aimed to examine how trust in institutions and changes in household finances were associated with healthcare utilization and preventive behaviors during and immediately after the COVID-19 pandemic. The COVID-19 pandemic worsened health disparities, ignited distrust in healthcare systems, and contributed to household economic shifts for many United States (US) residents. To examine these issues, we surveyed a nationally representative sample of US residents in July 2020 (n = 1,085) and May 2023 (n = 2,189).

View Article and Find Full Text PDF

Science of music-based citizen science: How seeing influences hearing.

PLoS One

September 2025

Department of Engineering and School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.

Citizen science engages volunteers to contribute data to scientific projects, often through visual annotation tasks. Hearing based activities are rare and less well understood. Having high quality annotations of performed music structures is essential for reliable algorithmic analysis of recorded music with applications ranging from music information retrieval to music therapy.

View Article and Find Full Text PDF

SPM-30 years and beyond.

Cereb Cortex

August 2025

Functional Imaging Laboratory (FIL), Department of Imaging Neuroscience, University College London, 12 Queen Square, London WC1N 3AR, United Kingdom.

This paper marks the 30th anniversary of the Statistical Parametric Mapping (SPM) software and the journal Cerebral Cortex: two modest milestones that mark the inception of cognitive neuroscience. We take this opportunity to reflect on SPM, a generation after its introduction. Each of the authors of this paper-who represent a small selection of the many contributors to SPM-were asked to consider lessons learned, what has gone well, and where there is room for improvement in future development.

View Article and Find Full Text PDF