
Jiayu Wang
Articles
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Nov 12, 2024 |
cell.com | Fengquan Li |Jiayu Wang |Pengcheng Wang |Lin Li
Keywordsshade avoidancephosphorylationbZIP59PP2AGet full text accessLog in, subscribe or purchase for full access. References1. Cole, B. ∙ Kay, S.A. ∙ Chory, J. Automated analysis of hypocotyl growth dynamics during shade avoidance in ArabidopsisPlant J. 2011; 65:991-10002. Huang, S. ∙ Yang, C. ∙ Li, L. Unraveling the Dynamic Integration of Auxin, Brassinosteroid and Gibberellin in Early Shade-Induced Hypocotyl ElongationPhenomics. 2022; 2:119-1293. Casal, J.J. ∙ Fankhauser, C.
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Jul 11, 2024 |
mdpi.com | Jiayu Wang |Rui Wang
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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Apr 14, 2024 |
nature.com | Jiayu Wang |Justin M. Hodgkiss
AbstractBoosted by the fast development of non-fullerene acceptors, organic photovoltaics (OPVs) have achieved breakthrough power conversion efficiencies — in excess of 20% and approaching those of state-of-the-art crystalline silicon photovoltaics. New physical properties, unusual phenomena and critical mechanisms have been uncovered in non-fullerene acceptors and related devices, all contributing to deliver advances in OPV technologies.
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Mar 21, 2024 |
nature.com | Xia Wang |Jiayu Wang |Chao Ma
AbstractIn the ALDH2 rs671 variant, a guanine changes to an adenine, resulting in a dramatic decrease in the catalytic activity of the enzyme. Population-based data are contradictory about whether this variant increases the risk of Alzheimer’s disease.
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Mar 11, 2024 |
mdpi.com | Jiayu Wang |Ye Liu |Yongjian Zhu |Dong Wang
1. IntroductionIn the context of autonomous driving, the detection, recognition, and localization of key targets have always been one of the most critical tasks. With the development of sensor devices, computing facilities, and deep learning techniques, various algorithms for target detection have been continuously updated and iterated, leading to significant improvements in real-time performance and accuracy.
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