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Measurement Report: Chemical components and 13C and 15N isotope ratios of fine aerosols over Tianjin, North China: Year-round observations 期刊论文
Atmospheric Chemistry and Physics, 2022
作者:  Zhichao Dong, Chandra Mouli Pavuluri, Zhanjie Xu, Yu Wang, Peisen Li, Pingqing Fu, and Cong-Qiang Liu
收藏  |  浏览/下载:15/0  |  提交时间:2022/06/24
Peta–electron volt gamma-ray emission from the Crab Nebula 期刊论文
Science, 2021
作者:  The LHAASO Collaboration*†;  Zhen Cao;  F. Aharonian;  Q. An;  Axikegu;  L. X. Bai;  Y. X. Bai;  Y. W. Bao;  D. Bastieri;  X. J. Bi;  Y. J. Bi;  H. Cai;  J. T. Cai;  Zhe Cao;  J. Chang;  J. F. Chang;  B. M. Chen;  E. S. Chen;  J. Chen;  Liang Chen;  Liang Chen;  Long Chen;  M. J. Chen;  M. L. Chen;  Q. H. Chen;  S. H. Chen;  S. Z. Chen;  T. L. Chen;  X. L. Chen;  Y. Chen;  N. Cheng;  Y. D. Cheng;  S. W. Cui;  X. H. Cui;  Y. D. Cui;  B. D’Ettorre Piazzoli;  B. Z. Dai;  H. L. Dai;  Z. G. Dai;  Danzengluobu;  D. della Volpe;  X. J. Dong;  K. K. Duan;  J. H. Fan;  Y. Z. Fan;  Z. X. Fan;  J. Fang;  K. Fang;  C. F. Feng;  L. Feng;  S. H. Feng;  Y. L. Feng;  B. Gao;  C. D. Gao;  L. Q. Gao;  Q. Gao;  W. Gao;  M. M. Ge;  L. S. Geng;  G. H. Gong;  Q. B. Gou;  M. H. Gu;  F. L. Guo;  J. G. Guo;  X. L. Guo;  Y. Q. Guo;  Y. Y. Guo;  Y. A. Han;  H. H. He;  H. N. He;  J. C. He;  S. L. He;  X. B. He;  Y. He;  M. Heller;  Y. K. Hor;  C. Hou;  X. Hou;  H. B. Hu;  S. Hu;  S. C. Hu;  X. J. Hu;  D. H. Huang;  Q. L. Huang;  W. H. Huang;  X. T. Huang;  X. Y. Huang;  Z. C. Huang;  F. Ji;  X. L. Ji;  H. Y. Jia;  K. Jiang;  Z. J. Jiang;  C. Jin;  T. Ke;  D. Kuleshov;  K. Levochkin;  B. B. Li;  Cheng Li;  Cong Li;  F. Li;  H. B. Li;  H. C. Li;  H. Y. Li;  Jian Li;  Jie Li;  K. Li;  W. L. Li;  X. R. Li;  Xin Li;  Xin Li;  Y. Li;  Y. Z. Li;  Zhe Li;  Zhuo Li;  E. W. Liang;  Y. F. Liang;  S. J. Lin;  B. Liu;  C. Liu;  D. Liu;  H. Liu;  H. D. Liu;  J. Liu;  J. L. Liu;  J. S. Liu;  J. Y. Liu;  M. Y. Liu;  R. Y. Liu;  S. M. Liu;  W. Liu;  Y. Liu;  Y. N. Liu;  Z. X. Liu;  W. J. Long;  R. Lu;  H. K. Lv;  B. Q. Ma;  L. L. Ma;  X. H. Ma;  J. R. Mao;  A. Masood;  Z. Min;  W. Mitthumsiri;  T. Montaruli;  Y. C. Nan;  B. Y. Pang;  P. Pattarakijwanich;  Z. Y. Pei;  M. Y. Qi;  Y. Q. Qi;  B. Q. Qiao;  J. J. Qin;  D. Ruffolo;  V. Rulev;  A. Saiz;  L. Shao;  O. Shchegolev;  X. D. Sheng;  J. Y. Shi;  H. C. Song;  Yu. V. Stenkin;  V. Stepanov;  Y. Su;  Q. N. Sun;  X. N. Sun;  Z. B. Sun;  P. H. T. Tam;  Z. B. Tang;  W. W. Tian;  B. D. Wang;  C. Wang;  H. Wang;  H. G. Wang;  J. C. Wang;  J. S. Wang;  L. P. Wang;  L. Y. Wang;  R. N. Wang;  Wei Wang;  Wei Wang;  X. G. Wang;  X. J. Wang;  X. Y. Wang;  Y. Wang;  Y. D. Wang;  Y. J. Wang;  Y. P. Wang;  Z. H. Wang;  Z. X. Wang;  Zhen Wang;  Zheng Wang;  D. M. Wei;  J. J. Wei;  Y. J. Wei;  T. Wen;  C. Y. Wu;  H. R. Wu;  S. Wu;  W. X. Wu;  X. F. Wu;  S. Q. Xi;  J. Xia;  J. J. Xia;  G. M. Xiang;  D. X. Xiao;  G. Xiao;  H. B. Xiao;  G. G. Xin;  Y. L. Xin;  Y. Xing;  D. L. Xu;  R. X. Xu;  L. Xue;  D. H. Yan;  J. Z. Yan;  C. W. Yang;  F. F. Yang;  J. Y. Yang;  L. L. Yang;  M. J. Yang;  R. Z. Yang;  S. B. Yang;  Y. H. Yao;  Z. G. Yao;  Y. M. Ye;  L. Q. Yin;  N. Yin;  X. H. You;  Z. Y. You;  Y. H. Yu;  Q. Yuan;  H. D. Zeng;  T. X. Zeng;  W. Zeng;  Z. K. Zeng;  M. Zha;  X. X. Zhai;  B. B. Zhang;  H. M. Zhang;  H. Y. Zhang;  J. L. Zhang;  J. W. Zhang;  L. X. Zhang;  Li Zhang;  Lu Zhang;  P. F. Zhang;  P. P. Zhang;  R. Zhang;  S. R. Zhang;  S. S. Zhang;  X. Zhang;  X. P. Zhang;  Y. F. Zhang;  Y. L. Zhang;  Yi Zhang;  Yong Zhang;  B. Zhao;  J. Zhao;  L. Zhao;  L. Z. Zhao;  S. P. Zhao;  F. Zheng;  Y. Zheng;  B. Zhou;  H. Zhou;  J. N. Zhou;  P. Zhou;  R. Zhou;  X. X. Zhou;  C. G. Zhu;  F. R. Zhu;  H. Zhu;  K. J. Zhu;  X. Zuo
收藏  |  浏览/下载:14/0  |  提交时间:2021/07/27
Self-assembled iron-containing mordenite monolith for carbon dioxide sieving 期刊论文
Science, 2021
作者:  Yu Zhou;  Jianlin Zhang;  Lei Wang;  Xili Cui;  Xiaoling Liu;  Sie Shing Wong;  Hua An;  Ning Yan;  Jingyan Xie;  Cong Yu;  Peixin Zhang;  Yonghua Du;  Shibo Xi;  Lirong Zheng;  Xingzhong Cao;  Yajing Wu;  Yingxia Wang;  Chongqing Wang;  Haimeng Wen;  Lei Chen;  Huabin Xing;  Jun Wang
收藏  |  浏览/下载:20/0  |  提交时间:2021/07/27
A river network-based hierarchical model for deriving flood frequency distributions and its application to the Upper Yangtze basin 期刊论文
Water Resources Research, 2021
作者:  Cong Jiang;  Lihua Xiong;  Chong-Yu Xu;  Lei Yan
收藏  |  浏览/下载:8/0  |  提交时间:2021/07/27
A Middle Eocene lowland humid subtropical “Shangri-La” ecosystem in central Tibet 期刊论文
Proceedings of the National Academy of Sciences, 2020
作者:  Tao Su;  Robert A. Spicer;  Fei-Xiang Wu;  Alexander Farnsworth;  Jian Huang;  Cédric Del Rio;  Tao Deng;  Lin Ding;  Wei-Yu-Dong Deng;  Yong-Jiang Huang;  Alice Hughes;  Lin-Bo Jia;  Jian-Hua Jin;  Shu-Feng Li;  Shui-Qing Liang;  Jia Liu;  Xiao-Yan Liu;  Sarah Sherlock;  Teresa Spicer;  Gaurav Srivastava;  He Tang;  Paul Valdes;  Teng-Xiang Wang;  Mike Widdowson;  Meng-Xiao Wu;  Yao-Wu Xing;  Cong-Li Xu;  Jian Yang;  Cong Zhang;  Shi-Tao Zhang;  Xin-Wen Zhang;  Fan Zhao;  Zhe-Kun Zhou
收藏  |  浏览/下载:13/0  |  提交时间:2020/12/22
A Middle Eocene lowland humid subtropical “Shangri-La” ecosystem in central Tibet 期刊论文
Proceedings of the National Academy of Science, 2020
作者:  Tao Su;  Robert A. Spicer;  Fei-Xiang Wu;  Alexander Farnsworth;  Jian Huang;  Cédric Del Rio;  Tao Deng;  Lin Ding;  Wei-Yu-Dong Deng;  Yong-Jiang Huang;  Alice Hughes;  Lin-Bo Jia;  Jian-Hua Jin;  Shu-Feng Li;  Shui-Qing Liang;  Jia Liu;  Xiao-Yan Liu;  Sarah Sherlock;  Teresa Spicer;  Gaurav Srivastava;  He Tang;  Paul Valdes;  Teng-Xiang Wang;  Mike Widdowson;  Meng-Xiao Wu;  Yao-Wu Xing;  Cong-Li Xu;  Jian Yang;  Cong Zhang;  Shi-Tao Zhang;  Xin-Wen Zhang;  Fan Zhao;  Zhe-Kun Zhou
收藏  |  浏览/下载:11/0  |  提交时间:2020/12/22
Thermosensitive crystallization–boosted liquid thermocells for low-grade heat harvesting 期刊论文
Science, 2020
作者:  Boyang Yu;  Jiangjiang Duan;  Hengjiang Cong;  Wenke Xie;  Rong Liu;  Xinyan Zhuang;  Hui Wang;  Bei Qi;  Ming Xu;  Zhong Lin Wang;  Jun Zhou
收藏  |  浏览/下载:9/0  |  提交时间:2020/10/20
Impact of topography on black carbon transport to the southern Tibetan Plateau during the pre-monsoon season and its climatic implication 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (10) : 5923-5943
作者:  Zhang, Meixin;  Zhao, Chun;  Cong, Zhiyuan;  Du, Qiuyan;  Xu, Mingyue;  Chen, Yu;  Chen, Ming;  Li, Rui;  Fu, Yunfei;  Zhong, Lei;  Kang, Shichang;  Zhao, Delong;  Yang, Yan
收藏  |  浏览/下载:16/0  |  提交时间:2020/05/20
Feedback generates a second receptive field in neurons of the visual cortex 期刊论文
NATURE, 2020
作者:  Shi, Enzheng;  Yuan, Biao;  Shiring, Stephen B.;  Gao, Yao;  Akriti;  Guo, Yunfan;  Su, Cong;  Lai, Minliang;  Yang, Peidong;  Kong, Jing;  Savoie, Brett M.;  Yu, Yi;  Dou, Letian
收藏  |  浏览/下载:43/0  |  提交时间:2020/07/03

Animals sense the environment through pathways that link sensory organs to the brain. In the visual system, these feedforward pathways define the classical feedforward receptive field (ffRF), the area in space in which visual stimuli excite a neuron(1). The visual system also uses visual context-the visual scene surrounding a stimulus-to predict the content of the stimulus(2), and accordingly, neurons have been identified that are excited by stimuli outside their ffRF(3-8). However, the mechanisms that generate excitation to stimuli outside the ffRF are unclear. Here we show that feedback projections onto excitatory neurons in the mouse primary visual cortex generate a second receptive field that is driven by stimuli outside the ffRF. The stimulation of this feedback receptive field (fbRF) elicits responses that are slower and are delayed in comparison with those resulting from the stimulation of the ffRF. These responses are preferentially reduced by anaesthesia and by silencing higher visual areas. Feedback inputs from higher visual areas have scattered receptive fields relative to their putative targets in the primary visual cortex, which enables the generation of the fbRF. Neurons with fbRFs are located in cortical layers that receive strong feedback projections and are absent in the main input layer, which is consistent with a laminar processing hierarchy. The observation that large, uniform stimuli-which cover both the fbRF and the ffRF-suppress these responses indicates that the fbRF and the ffRF are mutually antagonistic. Whereas somatostatin-expressing inhibitory neurons are driven by these large stimuli, inhibitory neurons that express parvalbumin and vasoactive intestinal peptide have mutually antagonistic fbRF and ffRF, similar to excitatory neurons. Feedback projections may therefore enable neurons to use context to estimate information that is missing from the ffRF and to report differences in stimulus features across visual space, regardless of whether excitation occurs inside or outside the ffRF. By complementing the ffRF, the fbRF that we identify here could contribute to predictive processing.


Feedback projections onto neurons of the mouse primary visual cortex generate a second excitatory receptive field that is driven by stimuli outside of the classical feedforward receptive field, with responses mediated by higher visual areas.


  
Gas Hydrate Dissociation During Sea-Level Highstand Inferred From U/Th Dating of Seep Carbonate From the South China Sea 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (23) : 13928-13938
作者:  Chen, Fang;  Wang, Xudong;  Li, Niu;  Cao, Jun;  Bayon, Germain;  Peckmann, Joern;  Hu, Yu;  Gong, Shanggui;  Chene, Hai;  Edwards, Lawrence;  Ning, Youfeng;  Jin, Meng;  Huang, Huiwen;  Wu, Cong;  Sun, Yuedong;  Chen, Hong;  Zhou, Yang;  Chen, Duofu;  Feng, Dong
收藏  |  浏览/下载:13/0  |  提交时间:2020/02/17
methane seep gas hydrate seep carbonate