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| http://dx.doi.org/10.1093/gastro/gou020 | DOI Listing |
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Research on the evolutionary characteristics and mechanism of production-living-ecological space in Shanxi Province, China.
Sci Rep
December 2024
School of Economics and Management, Taiyuan Normal University, Taiyuan, 030619, China.
An investigation of the evolutionary characteristics and internal driving mechanisms of territorial space since the reform and opening up is essential. The study will guide the orderly development and rational layout of territorial space, as well as achievement transformation and high-quality development in Shanxi Province. We used land use data from 1980 to 2020, which was divided into four periods, to examine the changes in production-living-ecological spatial pattern in Shanxi Province.
View Article and Find Full Text PDFUnderstanding the association between urban noise and nighttime light in China.
Sci Rep
December 2024
School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou, 350108, China.
Nighttime light data partially reflects the process of urban modernization and its reaction to urban scale, but its correlation with noise remains unclear, especially over a long-term time series, remains unclear. To address this gap, we examine 31 provincial capital cities and municipalities in China as the study area, utilizing noise monitoring data and nighttime light data to explore their relationship in urban areas from 2012 to 2021. The results show that: (1) During the study period, the regional environmental noise and night light index of 31 major cities exhibited a consistent upward trend, with the average equivalent sound level of environmental noise in most urban areas fluctuating between 50.
View Article and Find Full Text PDFApplication of artificial intelligence based on state grid ESG platform in clean energy scheduling optimization.
Sci Rep
December 2024
School of Public Administration, Guangzhou University, Guangzhou, 510006, China.
The randomness and volatility of existing clean energy sources have increased the complexity of grid scheduling. To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) big data platform, focusing on multi-objective scheduling optimization for clean energy. This work employs a combination of Particle Swarm Optimization (PSO) and Deep Q-Network (DQN) to enhance grid scheduling efficiency and clean energy utilization.
View Article and Find Full Text PDFGegen Qinlian Decoction inhibits liver ferroptosis in type 2 diabetes mellitus models by targeting Nrf2.
J Ethnopharmacol
December 2024
Key Laboratory of Xin'an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, Anhui, PR China, 230038; Institute of Surgery, Anhui Academy of Chinese Medicine, Anhui University of Chinese Medicine, Hefei, Anhui, PR China, 230038. Electronic address:
Ethnopharmacological Relevance: Type 2 diabetes mellitus (T2DM) is a metabolic disease that can lead to complications affecting multiple organs, including the liver. Gegen Qinlian Decoction (GQD) has demonstrated considerable efficacy in the management of T2DM and its complications in accordance with the tenets of modern Chinese medicine. However, the molecular mechanism by which GQD alleviates diabetic liver injury is unclear.
View Article and Find Full Text PDFComparison of Population Pharmacokinetic Modeling and Machine Learning Approaches for Predicting Voriconazole Trough Concentrations in Critically Ill Patients.
Int J Antimicrob Agents
December 2024
Department of Pharmacy, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510163, China. Electronic address:
Despite the widespread use of voriconazole in antifungal treatment, its high pharmacokinetic and pharmacodynamic variability may lead to suboptimal efficacy, especially in intensive care unit (ICU) patients. Machine learning (ML), an artificial intelligence modeling approach, is increasingly being applied to personalized medicine. The effectiveness of ML models for predicting voriconazole blood concentrations in ICU patients, compared to traditional population pharmacokinetics (popPK) models, has been uncertain until now.
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