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Ying Yuan on Muck Rack

Ying Yuan

Houston
As seen in: Color Research & Application, Nature, Wiley Online Library, arXiv, Journal of Empirical Finance, Memory Studies, PLOS ONE, BMJ Oncology, Elsevier, Eyes on Earth and
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Articles

Different concentrations of atropine in children with high myopia: a 2-year multicenter double-blind, randomized controlled trial

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By Linlin Du, Zhehui Liu, Tianyu Cheng, Weili Yan, Bilian Ke, Ying Yuan, XinXin Li, Jibo Zhou, jun chen, Jingjing Wang, Haidong Zou, Wei Gao, Xun Xu, Xiangui He
| Nature Verified
Abstract High myopia in children risks irreversible visual impairment, yet optimal interventions remain debated. This multicenter double-blind, randomized-controlled trial aims to evaluate the effect and safety of different atropine eyedrops for myopia control in children with high myopia, conducted in Shanghai Eye Diseases Prevention and Treatment Center, Shanghai General Hospital and Shanghai Ninth People’s Hospital.
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Concerted Steering of Interfacial Water and Hydrogen Spillover via Optimum Orbital Hybridization for Alkaline Water Electrocatalysis

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By Hongqing Zhao, Rong Xin, Ying Yuan
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supporting Information. Supporting Information Filename Description adma75200-sup-0001-SuppMat.docx33.9 MB Supporting File: adma75200-sup-0001-SuppMat.docx.
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Testing jump spillovers and unveiling influencing factors in cryptocurrency markets: evidence from interpretable machine learning

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By Ying Yuan, Peng Liu, Agudamu Qi
| Taylor & Francis Online
Abstract Sharp and discontinuous price movements are a defining feature of cryptocurrency markets and represent an important yet underexplored channel of systemic risk transmission. Using high-frequency data, this paper decomposes realized volatility into continuous and jump components and quantifies contemporaneous and lagged spillovers within an R2 decomposed connectedness framework.
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