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Scientific Reports|February 12, 2022
Simultaneous realization of polarization conversion for reflected and transmitted waves with bi-functional metasurfaceXiaojun Huang, Xia Ma, Xuewen Li, et al.
Environmental Monitoring and Assessment|March 17, 2023
Occurrence, consumption level, fate and ecotoxicology risk of beta-agonist pharmaceuticals in a wastewater treatment plant in Eastern ChinaHui Zhang, Kefang Li, Xiangwei Zhao, et al.
Angewandte Chemie (International Ed. in English)|December 12, 2023
Quantitative Construction of Boronic-Ester Linkages in Covalent Organic Frameworks for the Carbon Dioxide ReductionXiubei Yang, Xuewen Li, Minghao Liu, et al.
Small (Weinheim an Der Bergstrasse, Germany)|November 22, 2023
Confined Synthesis of Dual-Atoms Within Pores of Covalent Organic Frameworks for Oxygen Reduction ReactionXiubei Yang, Xuewen Li, Minghao Liu, et al.
Environmental Pollution (Barking, Essex : 1987)|December 7, 2020
The benefits of biochar: Enhanced cadmium remediation, inhibited precursor production of nitrous oxide and a short-term disturbance on rhizosphere microbial communityLijun Hou, Liping Zhang, Xiaotian Chen, et al.
International Journal of Medical Sciences|July 26, 2019
Synthesis and Evaluation of BMMSC-seeded BMP-6/nHAG/GMS Scaffolds for Bone RegenerationXuewen Li, Ran Zhang, Xuexin Tan, et al.
Environmental Toxicology|August 6, 2013
Perinatal exposure to low doses of tributyltin chloride reduces sperm count and quality in miceJiliang Si, Peng Li, Quanbing Xin, et al.
Biomed Research International|May 22, 2019
Acceleration of Bone Regeneration in Critical-Size Defect Using BMP-9-Loaded nHA/ColI/MWCNTs Scaffolds Seeded with Bone Marrow Mesenchymal Stem CellsRan Zhang, Xuewen Li, Yao Liu, et al.
Computer Methods and Programs in Biomedicine|May 8, 2023
Machine learning predicts the risk of hemorrhagic transformation of acute cerebral infarction and in-hospital deathXuewen Li, Changyan Xu, Chengming Shang, et al.
BMC Medical Informatics and Decision Making|August 24, 2023
Development and comparison of machine learning-based models for predicting heart failure after acute myocardial infarctionXuewen Li, Chengming Shang, Changyan Xu, et al.
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