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Yingjie Zhao on Muck Rack

Yingjie Zhao

As seen in: Color Research & Application, Nature, Wiley Online Library, Frontiers in Nutrition, MDPI, Taylor & Francis Online, ACS Publications, Analytical Chemistry, Science Magazine, Royal Society of Chemistry and
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Articles

High-performance near-infrared circularly polarized electroluminescence with an emission peak beyond 900 nm

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By Jiaqi Wang, Xiang Guan, Xiuling Li, Jinli Liu, Chunli Zhao, Junnan Wang, YouRong Wu, Zhuojian Li, Renjing Chen, Peng Wu, Xueting Liu, Zixun Zhao, Zemin Wang, Yingjie Zhao, Zongwen Liu, Jiao Liu, Xin Tong, Zhiming Wang, Zhanhua Wei, Kebin Lin
| Nature Verified
Abstract Near-infrared spin-light-emitting diodes (NIR-Spin-LEDs), which generate circularly polarized light, offer opportunities for applications such as biomedicine. However, the longest reported emission wavelength of NIR-Spin-LEDs remains limited to 782 nm, making spin-polarized electroluminescence beyond 800 nm challenging. Here we show NIR-Spin-LEDs based on a mixed-dimensional tin-based perovskite heterostructure incorporating chiral R/S-α-methylbenzylammonium (R/S-MBA+) spacer cations.
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Nobiletin ameliorates diabetic nephropathy by modulating TP53-associated PANoptosis: an experimental study

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By Biwei Zhang, Yi Liu, Leilei Ma, Yingjie Zhao, Yiming Dong, Zhengqi Zhou, Chunyu Tian, Dongjun Wang, Dingjie Xu, Xiaojin La, Hong Chang, jiayu Li, Chenxi Wu, Rujie Han
| Frontiers in Nutrition
Abstract Background: Nobiletin (NOB), a naturally occurring polymethoxyflavone enriched in Citri Reticulatae Pericarpium—the dried peel of mature citrus fruit—has attracted increasing attention because of its multi-target pharmacological activities. This study explored the protective effects of NOB on diabetic nephropathy (DN), with a focus on TP53-associated PANoptosis and TFEB-related lysosomal and energy metabolic changes.
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CAM-RTDETR: an aerospace engine surface defect detection method based on improved transformer architecture

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By Rui Zhang, Zhen He, Yingjie Zhao
| Nature Verified
Abstract To address challenges in the surface defect detection of core Aerospace Engine components, specifically targeting texture aliasing under strong metallic backgrounds and the difficulty in identifying cross-scale minute defects such as tiny dots, this paper proposes CAM-RTDETR, a detection model based on an improved RT-DETR-r18.
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