Xin Yang on Muck Rack

Xin Yang

As seen in: Environmental Health Perspectives, Medium, Nature, Wiley Online Library, Journal of Empirical Finance, PLOS, PLOS ONE, ScienceDaily, ScienceDirect, BMJ Open and
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Articles

An urban functional zone classification framework based on graph adaptive propagation network

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By Xin Yang, Xiaoxiao Zhao, Jinfeng Zhou, Rong Huang
| Nature Verified
Abstract Urban functional zone (UFZ) classification is fundamental to urban planning and precision management of cities. Urban functions emerge from multi-scale spatial interactions, where both local dependencies and long-range structural associations coexist with varying importance.
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Application of a deep learning method based on CBCT panoramic reconstruction images for differentiating operationally defined cystic and neoplastic jaw lesions from osteomyelitis: a single-center retrospective study

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By Ruilin Zhang, Qing Liu, Xin Yang, Han Lu, Yizhuo Chen, Xin Guo, Keying Liu, Ziqi Guo, Bingyue Xu, Gaojing Cui
| Nature Verified
Abstract This single-center retrospective study developed and internally validated a two-dimensional deep learning model based on cone-beam computed tomography (CBCT) panoramic reconstruction images for the preliminary differentiation of operationally defined cystic and neoplastic jaw lesions from osteomyelitis of the jaw. A total of 400 patients were included, comprising 200 patients with jaw mass lesions and 200 patients with osteomyelitis.
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A dataset of small protein conformational ensembles from all-atom molecular dynamics simulations

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By Ying Hu, Xin Yang, Xinlei Zhu, Pingping Sun, Ming Ni, Xiaochen Bo, Zhiguo Fu, Zilin Ren, Zhixiang Sui, Longjia Jia
| Nature Verified
Abstract Small proteins, with more pronounced conformational flexibility, are crucial in biological processes and their function is linked to their high flexibility. While several databases are widely used to characterize protein dynamics, a significant data gap remains for small proteins comprising 5–100 amino acids. To address this, we present DynoDB, a dataset of small protein conformational ensembles from all-atom molecular dynamics simulations.
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