Synopsis of recent research by authors named "Yongchun Tang"
- Yongchun Tang's recent research spans diverse fields, including cancer-related fatigue, environmental science, and organic chemistry, with a focus on employing modern methodologies such as machine learning and isotope analysis to enhance understanding and improve outcomes in health and environmental issues.
- One significant study investigates the multidimensional predictors of cancer-related fatigue using a systematic review approach, emphasizing the importance of precision care and the potential for machine learning models to facilitate early screening and assessment.
- Tang's work also includes notable contributions in environmental research, such as identifying nitrate sources in the Lancang River using stable isotopes, and examining the impacts of hydropower on the nitrogen cycle and sediment processes in aquatic ecosystems.
