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Yinglei Wang on Muck Rack

Yinglei Wang

As seen in: Wiley Online Library, Frontiers, MDPI, ACS Publications, Dialnet - Universidad de La Rioja, Ivey Business Journal
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Articles

Frontiers | Catalpol—a compound from Rehmannia glutinosa can improve hyperlipidemia by modulating gut microbiota and endogenous metabolic pathways

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By Xinfeng Pei, Weichao Dong, Yingying Yu, Yinglei Wang, Shaoping Wang, Long Dai
| Frontiers
1 Introduction Hyperlipidemia (HL), a common metabolic disorder, is primarily characterized by elevated plasma concentrations of total cholesterol (TC), triglycerides (TG), and low-density lipoprotein cholesterol (LDL-C) (Rosenson et al., 2024; Takaoka et al., 2024). HL is closely associated with cardiovascular and cerebrovascular diseases, notably atherosclerosis and coronary heart disease.
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Deep Soil Water Availability Regulates the Transpiration of Afforested Apple Trees (Malus pumila Mill.) in a Sub-Humid Loess Region

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By Peng Li, Xuemei Zhang, Yinglei Wang, Yuxiao Zuo
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks

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By Yufei Guo, Yuanpei Chen, Liwen Zhang, Yinglei Wang
| preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 17 December 2023 / Approved: 18 December 2023 / Online: 18 December 2023 (10:01:47 CET) Guo, Y.; Chen, Y.; Zhang, L.; Wang, Y.; Liu, X.; Tong, X.; Ou, Y.; Huang, X.; Ma, Z. InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks. Preprints 2023, 2023121318. https://doi.org/10.20944/preprints202312.1318.v1 Guo, Y.; Chen, Y.; Zhang, L.; Wang, Y.; Liu, X.; Tong, X.; Ou, Y.; Huang, X.; Ma, Z.
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