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Yingkui Yang on Muck Rack

Yingkui Yang

As seen in: Nature, Wiley Online Library, Frontiers, MDPI, Royal Society of Chemistry, Emerald Publishing, Nano Convergence Journal
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Articles

Tissue distribution and net maintenance and growth requirements of key trace minerals in fattening yaks ( Bos grunniens ) on the Qinghai–Tibetan plateau

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By Shengchun Xu, Jiyuan Zhang, Zhilong Wang, Shujie Liu, Shuxiang Wang, Shatuo Chai, Yingkui Yang, Jiaying Lv, Shuting Bao
| Frontiers
Abstract Introduction: This study aimed to characterize the tissue distribution of key trace elements in fattening yaks and to establish empty body weight (EBW)-based prediction models for the net growth requirement (NRG) of copper (Cu), manganese (Mn), zinc (Zn), iron (Fe), selenium (Se), and cobalt (Co), as well as to derive their net maintenance requirement (NMR). Methods: A comparative slaughter plus graded feeding design was used.
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Dynamic ligand-vacancy engineering drives metal dimerization for efficient urea electrooxidation

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By Mingjie Wu, Jian Luo, Junjie Zheng, Xun Cui, Yuanyuan Luo, Yingkui Yang, Xiaoya Zhan
| Nature Verified
Abstract The electrochemical urea oxidation reaction offers environmental benefits by enabling hydrogen generation and nitrogen recycling. However, catalyst instability caused by surface reconstruction remains a challenge. Here, we develop a heteronuclear vacancy-to-bond strategy that achieves both catalytic activation and structural preservation via atomic-level self-optimization.
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Data Fusion Algorithm for Meteorological Equipment Security Based on 5G Base Station Network Security

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By Yang Dong, Yingkui Yang, Hongliang Han
| pericles.pericles-prod.literatumonline.com
References 1, , and , “Lightweight Security Transmission in Wireless Sensor Networks Through Information Hiding and Data Flipping,” Sensors 22, no. 3 (2022): 823. 2, , and , “Spline Magnitude Disparity Cross Correlated Deep Network for Gait Recognition,” Artificial Intelligence Review 57, no. 4 (2024): 79. 3, , , and , “A Data Fusion Model for Meteorological Data Using the INLA-SPDE Method,” Journal of the Royal Statistical Society Series C: Applied Statistics 74, no. 4 (2025): 1021–1056.
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