Ning Zhang on Muck Rack

Ning Zhang

China
As seen in: Color Research & Application, Nature, Wiley, Wiley Online Library, New Phytologist, BMJ Open, Journal of Clinical Pathology, Cell Metabolism, Cell Press, Cell Reports Physical Science and
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Articles

Long-term outcomes of adjuvant metronomic capecitabine in locoregionally advanced nasopharyngeal carcinoma: a randomized, controlled, multicenter, phase 3 study

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By Ya-Lan Tao, Dong-Hong Wu, Qin Zhou, Kun-Yu Yang, Feng Jin, Xiao-Dong Zhu, Mei Shi, Guo-Qing Hu, Yan Sun, Hong-fen Wu, Hui Wu, Qin Lin, Hui Wang, Ye Tian, Ning Zhang, Xi-Cheng Wang, Liang-Fang Shen, Zheng-zheng Liu, Jing Huang, Jian Zang, Bao-Min Zheng, Dan Yue, Jing Xu, San-Gang Wu, Lei Chen, Wen-Fei Li, Guan-Qun Zhou, Rui Sun, Rui Guo, YUAN ZHANG, Cheng Xu, Jia-Wei Lv, Ying Guo, Ling-Long Tang, Fang-Yun Xie, Xu Liu, Ying Sun, Jun Ma, Yan-Ping Mao, Yu-Pei Chen, Xiu-Ling Luo, Hui-Xia Feng
| Nature Verified
Abstract Here we report long-term outcomes of adjuvant metronomic capecitabine in patients with locoregionally advanced nasopharyngeal carcinoma. In this multicenter, open-label, parallel-group, randomized, controlled, phase 3 trial, 406 patients who had completed definitive chemoradiotherapy were randomly assigned (1:1) to receive either adjuvant metronomic capecitabine (650 mg m−2 twice daily for 1 year) or observation.
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Data-Driven Distributed Tracking Control for Unknown MIMO Multi-Agent Systems With Multi-Node Transmission Strategy

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By Bin Lin Chen, Bei Chen, Ning Zhang
| Wiley Online Library Verified
1 Introduction Multi-agent systems (MASs) consist of multiple independent agents. Since the 1980s, MASs have been favored by researchers and widely used in intelligent transportation [1], satellite formation [2], unmanned aerial vehicle formation [3], and so forth. They rely on communication networks to coordinate with each other to achieve cooperative control. Among them, consensus control is a core issue in the field of cooperative control.
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SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

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By Xinyi Li, Ning Zhang, Zijie Jin
| Wiley Online Library Verified
1 Introduction Spatial transcriptomics (ST) is a revolutionary technology in biological research [1, 2], enabling simultaneous capture of transcript abundance and its location within tissue sections [3]. This capability is particularly valuable in oncology, supporting the analysis of tumor heterogeneity, mapping distinct cellular niches, and elucidating tumor microenvironment organization [4].
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