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Beilei Yuan

Showing results (11-20 of 31) with videos related to

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Frontiers in Chemistry|November 2, 2020
Highly Conductive P-Type MAPbI<sub>3</sub> Films and Crystals via Sodium DopingYujiao Li, Chen Li, Huanqin Yu, et al.
Journal of Biochemical and Molecular Toxicology|April 2, 2019
Adenomatous polyposis coli as a predictor of environmental chemical-induced transgenerational effects related to male infertilityBeilei Yuan, Wei Wu, Huazhong Zhang, et al.
Ecotoxicology and Environmental Safety|June 21, 2024
High expression of 3-hydroxy-3-methylglutaryl-CoA synthase 2 (HMGCS2) associated with Diquat-induced damageHuazhong Zhang, Hao Sun, Jian Qian, et al.
Ecotoxicology and Environmental Safety|February 25, 2026
Metabolomics‑driven, data‑augmented machine learning for predicting toxicity of microplastic mixturesBeilei Yuan, Chengzhi Liu, Shuang Chen, et al.
Toxicology|August 13, 2024
Machine learning-driven QSAR models for predicting the cytotoxicity of five common microplasticsChengzhi Liu, Cheng Zong, Shuang Chen, et al.
Chemosphere|June 2, 2023
Modeling study for predicting altered cellular activity induced by nanomaterials based on Dlk1-Dio3 gene expression and structural relationshipsBeilei Yuan, Yunlin Wang, Cheng Zong, et al.
Toxics|February 28, 2023
Multi-Omics Analyses Reveal the Mechanisms of Early Stage Kidney Toxicity by DiquatHuazhong Zhang, Jinsong Zhang, Jinquan Li, et al.
Biochemical and Biophysical Research Communications|March 14, 2022
The regulation of LPCAT3 by miR-124-3p.1 in acute kidney injury suppresses cell proliferation by disrupting phospholipid metabolismHuazhong Zhang, Hao Wu, Jian Qian, et al.
Molecules (Basel, Switzerland)|September 23, 2022
Machine Learning for Evaluating the Cytotoxicity of Mixtures of Nano-TiO<sub>2</sub> and Heavy Metals: QSAR Model Apply Random Forest Algorithm after Clustering AnalysisLeqi Sang, Yunlin Wang, Cheng Zong, et al.
Reproductive Toxicology (Elmsford, N.Y.)|July 19, 2025
Transgenerational effects and mechanisms of nano-SiO<sub>2</sub> on pulmonaryJiangliang Chu, Chengzhi Liu, Shuang Chen, et al.
Pageof 4

Showing results (11-20 of 31) with videos related to

Sort By:
Pageof 4
Frontiers in Chemistry|November 2, 2020
Highly Conductive P-Type MAPbI<sub>3</sub> Films and Crystals via Sodium DopingYujiao Li, Chen Li, Huanqin Yu, et al.
Journal of Biochemical and Molecular Toxicology|April 2, 2019
Adenomatous polyposis coli as a predictor of environmental chemical-induced transgenerational effects related to male infertilityBeilei Yuan, Wei Wu, Huazhong Zhang, et al.
Ecotoxicology and Environmental Safety|June 21, 2024
High expression of 3-hydroxy-3-methylglutaryl-CoA synthase 2 (HMGCS2) associated with Diquat-induced damageHuazhong Zhang, Hao Sun, Jian Qian, et al.
Ecotoxicology and Environmental Safety|February 25, 2026
Metabolomics‑driven, data‑augmented machine learning for predicting toxicity of microplastic mixturesBeilei Yuan, Chengzhi Liu, Shuang Chen, et al.
Toxicology|August 13, 2024
Machine learning-driven QSAR models for predicting the cytotoxicity of five common microplasticsChengzhi Liu, Cheng Zong, Shuang Chen, et al.
Chemosphere|June 2, 2023
Modeling study for predicting altered cellular activity induced by nanomaterials based on Dlk1-Dio3 gene expression and structural relationshipsBeilei Yuan, Yunlin Wang, Cheng Zong, et al.
Toxics|February 28, 2023
Multi-Omics Analyses Reveal the Mechanisms of Early Stage Kidney Toxicity by DiquatHuazhong Zhang, Jinsong Zhang, Jinquan Li, et al.
Biochemical and Biophysical Research Communications|March 14, 2022
The regulation of LPCAT3 by miR-124-3p.1 in acute kidney injury suppresses cell proliferation by disrupting phospholipid metabolismHuazhong Zhang, Hao Wu, Jian Qian, et al.
Molecules (Basel, Switzerland)|September 23, 2022
Machine Learning for Evaluating the Cytotoxicity of Mixtures of Nano-TiO<sub>2</sub> and Heavy Metals: QSAR Model Apply Random Forest Algorithm after Clustering AnalysisLeqi Sang, Yunlin Wang, Cheng Zong, et al.
Reproductive Toxicology (Elmsford, N.Y.)|July 19, 2025
Transgenerational effects and mechanisms of nano-SiO<sub>2</sub> on pulmonaryJiangliang Chu, Chengzhi Liu, Shuang Chen, et al.
Pageof 4