Kaifeng Yu

ORCID: 0000-0002-8784-0365
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About
Contact & Profiles
Research Areas
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Microbial Community Ecology and Physiology
  • Antibiotic Resistance in Bacteria
  • Antibiotic Use and Resistance
  • Advanced Photocatalysis Techniques
  • Water Treatment and Disinfection
  • Environmental Toxicology and Ecotoxicology
  • Supercapacitor Materials and Fabrication
  • Transportation Planning and Optimization
  • Advancements in Battery Materials
  • Traffic control and management
  • Traffic Prediction and Management Techniques
  • Biosensors and Analytical Detection
  • Pesticide and Herbicide Environmental Studies
  • SARS-CoV-2 detection and testing
  • Hydrology and Sediment Transport Processes
  • Dam Engineering and Safety
  • Antibiotics Pharmacokinetics and Efficacy
  • Toxic Organic Pollutants Impact
  • Wastewater Treatment and Reuse
  • Isotope Analysis in Ecology
  • 2D Materials and Applications
  • Advanced Battery Technologies Research
  • Composting and Vermicomposting Techniques
  • Vector-borne infectious diseases

Shanghai Jiao Tong University
2017-2025

National Taiwan University
2025

Xinjiang University
2025

Liaoning University of Traditional Chinese Medicine
2025

Affiliated Hospital of Liaoning University of Traditional Chinese Medicine
2025

Jilin University
2022-2024

National University of Singapore
2024

Singapore-HUJ Alliance for Research and Enterprise
2024

Zhejiang University of Technology
2021-2022

East China University of Science and Technology
2018-2019

Abstract This study is aimed at the issue of energy waste resulting from significant fluctuations in consumption steam turbine system under flexible peaking demands coal-fired units. To accurately predict these units across a wide range load conditions, prediction model eXtreme Gradient Boosting (XGBoost) established. Firstly, variables are chosen based on existing measurements and an analysis power plant. Meanwhile, dataset its distribution calculated by Consumption Rate Analysis (CRA)....

10.1115/1.4068050 article EN Journal of energy resources technology. 2025-02-25

Ferulic acid (FA) has shown potential in treating atherosclerosis (AS) by improving lipid metabolism and exerting anti-hypoxic effects. This study aimed to validate the mechanism of FA AS through vitro experiments. Network analysis was employed predict mechanisms underlying therapeutic effects on AS. An foam cell model established using RAW 264.7 cells treated with ox-LDL. Cellular accumulation detected Oil Red O staining; viability assessed counting kit-8; mitochondrial morphology function...

10.3389/fphar.2025.1524736 article EN cc-by Frontiers in Pharmacology 2025-03-18

10.1016/j.colsurfa.2018.05.100 article EN Colloids and Surfaces A Physicochemical and Engineering Aspects 2018-06-01
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