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The Science of the Total Environment|July 25, 2024
Interaction of microplastics with perfluoroalkyl and polyfluoroalkyl substances in water: A review of the fate, mechanisms and toxicityFan Yu, Jiaping Wu, Huangyingzi Wang, et al.
Frontiers in Cardiovascular Medicine|February 6, 2026
Machine learning prediction of ARDS after heart valve surgery: development and validation in Northwest ChinaXuhua Li, Hao Chen, Aoxiang Chen, et al.
International Journal of Molecular Sciences|April 13, 2023
Identification of Potential Lead Compounds Targeting Novel Druggable Cavity of SARS-CoV-2 Spike Trimer by Molecular Dynamics SimulationsYizhen Zhao, Yifan Zhao, Linke Xie, et al.
Frontiers in Pharmacology|July 7, 2022
Organelle Interaction and Drug Discovery: Towards Correlative Nanoscopy and Molecular Dynamics SimulationZhiwei Yang, Zichen Zhang, Yizhen Zhao, et al.
Environmental Monitoring and Assessment|September 23, 2020
Effects of exogenous sulfur on maize (Zea mays L.) growth and Cd accumulation in Cd-contaminated plastic shed soilKaining Sun, Yaoquan Yue, Dan Wen, et al.
Frontiers in Medicine|April 23, 2024
Knowledge, attitudes, and practices among Chinese reproductive-age women toward uterine adenomyosisRuofei Ren, Hongye Li, Jie Zhang, et al.
Nanoscale|February 13, 2024
Elucidating the reversible and irreversible self-assembly mechanisms of low-complexity aromatic-rich kinked peptides and steric zipper peptidesZenghui Lao, Yiming Tang, Xuewei Dong, et al.
Physical Chemistry Chemical Physics : PCCP|June 16, 2021
Molecular insights into the binding variance of the SARS-CoV-2 spike with human, cat and dog ACE2 proteinsYongjian Zang, Xuhua Li, Yizhen Zhao, et al.
European Journal of Preventive Cardiology|March 4, 2025
Advanced Prediction of Heart Failure Risk in Elderly Diabetic and Hypertensive Patients Using Nine Machine Learning Models and Novel Composite Indices: Insights from NHANES 2003-2016Qiyuan Bai, Hao Chen, Zhen Gao, et al.
Computer Methods and Programs in Biomedicine|November 16, 2024
DeepForest-HTP: A novel deep forest approach for predicting antihypertensive peptidesQiyuan Bai, Hao Chen, Wenshuo Li, et al.
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