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您的检索式：作者名="Yongkun Lin"
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| 1 | A comparative study of calcium sulfate artificial bone graft versus allograft in the reconstruction of bone defect after tumor curettage显示文摘 | Yang Yongkun Niu Xiaohui Zhang Qing Hao Lin Ding Yi Xu Hairong | 2014 | Chinese Medical Journal2014，，17： | 11 |
| 2 | S-1 and Cisplatin With or Without Nimotuzumab for Patients With Untreated Unresectable or Metastatic Gastric Cancer: A Randomized, Open-Label Phase 2 Trial显示文摘 | Feng Du Zhaoxu Zheng SuSheng Shi Zhichao Jiang Tao Qu Xinhua Yuan Yongkun Sun Yan Song Lin Yang Jiuda Zhao Jinwan Wang Yihebali Chi | 2015 | Medicine2015，，23： | 1 |
| 3 | Lensless complex amplitude demodulation based on deep learning in holographic data storage显示文摘To increase the storage capacity in holographic data storage(HDS),the information to be stored is encoded into a complex amplitude.Fast and accurate retrieval of amplitude and phase from the reconstructed beam is necessary during data readout in HDS.In this study,we proposed a complex amplitude demodulation method based on deep learning from a single-shot diffraction intensity image and verified it by a non-interferometric lensless experiment demodulating four-level amplitude and four-level phase.By analyzing the correlation between the diffraction intensity features and the amplitude and phase encoding data pages,the inverse problem was decomposed into two backward operators denoted by two convolutional neural networks(CNNs)to demodulate amplitude and phase respectively.The experimental system is simple,stable,and robust,and it only needs a single diffraction image to realize the direct demodulation of both amplitude and phase.To our investigation,this is the first time in HDS that multilevel complex amplitude demodulation is achieved experimentally from one diffraction intensity image without iterations. | Jianying Hao Xiao Lin Yongkun Lin Mingyong Chen Ruixian Chen Guohai Situ Hideyoshi Horimai Xiaodi Tan | 2023 | Opto-Electronic Advances2023，6，3： | 1 |
| 4 | Anomalous-plasmoid-ejection-induced secondary magnetic reconnection: modeling solar flares and coronal mass ejections by laser–plasma experiments显示文摘The driving mechanism of solar flares and coronal mass ejections is a topic of ongoing debate, apart from the consensus that magnetic reconnection plays a key role during the impulsive process. While present solar research mostly depends on observations and theoretical models, laboratory experiments based on high-energy density facilities provide the third method for quantitatively comparing astrophysical observations and models with data achieved in experimental settings.In this article, we show laboratory modeling of solar flares and coronal mass ejections by constructing the magnetic reconnection system with two mutually approaching laser-produced plasmas circumfused of self-generated megagauss magnetic fields. Due to the Euler similarity between the laboratory and solar plasma systems, the present experiments demonstrate the morphological reproduction of flares and coronal mass ejections in solar observations in a scaled sense,and confirm the theory and model predictions about the current-sheet-born anomalous plasmoid as the initial stage of coronal mass ejections, and the behavior of moving-away plasmoid stretching the primary reconnected field lines into a secondary current sheet conjoined with two bright ridges identified as solar flares. | Quanli Dong Dawei Yuan Shoujun Wang Xun Liu Yutong Li Xiaoxuan Lin Huigang Wei Jiayong Zhong Shaoen Jiang Yongkun Ding Bobin Jiang Kai Du Yongjian Tang Mingyang Yu Xiantu He Neng Hua Zhanfeng Qiao Kuixi Huang Ming Chen Jianqiang Zhu Gang Zhao Zhengming Sheng Jie Zhang | 2013 | High Power Laser Science and Engineering2013，1，1： | 0 |
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