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Multiscale hydraulic conductivity characterization in a fractured granitic aquifer: the evaluation of scale effect 期刊论文
Water Resources Research, 2021
作者:  Shuangpo Ren;  Ye Zhang;  Tian-Chyi Jim Yeh;  Yuli Wang;  Bradley J. Carr
收藏  |  浏览/下载:8/0  |  提交时间:2021/09/14
Critical transitions and ecological resilience of large marine ecosystems in the Northwestern Pacific in response to global warming 期刊论文
Global Change Biology, 2021
作者:  Shuyang Ma;  Dan Liu;  Yongjun Tian;  Caihong Fu;  Jianchao Li;  Peilong Ju;  Peng Sun;  Zhenjiang Ye;  Yang Liu;  Yoshiro Watanabe
收藏  |  浏览/下载:8/0  |  提交时间:2021/08/10
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
Ensemble skill gains obtained from the multi-physics versus multi-model approaches for continental-scale hydrological simulations 期刊论文
Water Resources Research, 2021
作者:  Wenli Fei;  Hui Zheng;  Zhongfeng Xu;  Wen-Ying Wu;  Peirong Lin;  Ye Tian;  Mengyao Guo;  Dunxian She;  Lingcheng Li;  Kai Li;  Zong-Liang Yang
收藏  |  浏览/下载:10/0  |  提交时间:2021/07/27
Changes in source-specific black carbon aerosol and the induced radiative effects due to the COVID-19 lockdown 期刊论文
Geophysical Research Letters, 2021
作者:  Huikun Liu;  Qiyuan Wang;  Jianhuai Ye;  Xiaoli Su;  Ting Zhang;  Yong Zhang;  Jie Tian;  Yunsheng Dong;  Yang Chen;  Chongshu Zhu;  Yongming Han;  Junji Cao
收藏  |  浏览/下载:9/0  |  提交时间:2021/07/27
Vital roles of soil microbes in driving terrestrial nitrogen immobilization 期刊论文
Global Change Biology, 2021
作者:  Zhaolei Li;  Zhaoqi Zeng;  Zhaopeng Song;  Fuqiang Wang;  Dashuan Tian;  Wenhai Mi;  Xin Huang;  Jinsong Wang;  Lei Song;  Zhongkang Yang;  Jun Wang;  Haojie Feng;  Lifen Jiang;  Ye Chen;  Yiqi Luo;  Shuli Niu
收藏  |  浏览/下载:17/0  |  提交时间:2021/03/12
Measurement report: Evaluation of sources and mixing state of black carbon aerosol under the background of emission reduction in the North China Plain: implications for radiative effect 期刊论文
Atmospheric Chemistry and Physics, 2020
作者:  Qiyuan Wang, Li Li, Jiamao Zhou, Jianhuai Ye, Wenting Dai, Huikun Liu, Yong Zhang, Renjian Zhang, Jie Tian, Yang Chen, Yunfei Wu, Weikang Ran, and Junji Cao
收藏  |  浏览/下载:19/0  |  提交时间:2020/07/21
Contributions of aerosol composition and sources to particulate optical properties in a southern coastal city of China 期刊论文
ATMOSPHERIC RESEARCH, 2020, 235
作者:  Tian, Jie;  Wang, Qiyuan;  Han, Yongming;  Ye, Jianhuai;  Wang, Ping;  Pongpiachan, Siwatt;  Ni, Haiyan;  Zhou, Yaqing;  Wang, Meng;  Zhao, Youzhi;  Cao, Junji
收藏  |  浏览/下载:11/0  |  提交时间:2020/07/02
PM2.5  Light extinction  Chemical composition  Source apportionment  
Improved protein structure prediction using potentials from deep learning 期刊论文
NATURE, 2020, 577 (7792) : 706-+
作者:  Ma, Runze;  Cao, Duanyun;  Zhu, Chongqin;  Tian, Ye;  Peng, Jinbo;  Guo, Jing;  Chen, Ji;  Li, Xin-Zheng;  Francisco, Joseph S.;  Zeng, Xiao Cheng;  Xu, Li-Mei;  Wang, En-Ge;  Jiang, Ying
收藏  |  浏览/下载:142/0  |  提交时间:2020/07/03

Protein structure prediction can be used to determine the three-dimensional shape of a protein from its amino acid sequence(1). This problem is of fundamental importance as the structure of a protein largely determines its function(2)  however, protein structures can be difficult to determine experimentally. Considerable progress has recently been made by leveraging genetic information. It is possible to infer which amino acid residues are in contact by analysing covariation in homologous sequences, which aids in the prediction of protein structures(3). Here we show that we can train a neural network to make accurate predictions of the distances between pairs of residues, which convey more information about the structure than contact predictions. Using this information, we construct a potential of mean force(4) that can accurately describe the shape of a protein. We find that the resulting potential can be optimized by a simple gradient descent algorithm to generate structures without complex sampling procedures. The resulting system, named AlphaFold, achieves high accuracy, even for sequences with fewer homologous sequences. In the recent Critical Assessment of Protein Structure Prediction(5) (CASP13)-a blind assessment of the state of the field-AlphaFold created high-accuracy structures (with template modelling (TM) scores(6) of 0.7 or higher) for 24 out of 43 free modelling domains, whereas the next best method, which used sampling and contact information, achieved such accuracy for only 14 out of 43 domains. AlphaFold represents a considerable advance in protein-structure prediction. We expect this increased accuracy to enable insights into the function and malfunction of proteins, especially in cases for which no structures for homologous proteins have been experimentally determined(7).


  
A genome-wide association study identifies six novel risk loci for primary biliary cholangitis 期刊论文
NATURE COMMUNICATIONS, 2017, 8
作者:  Qiu, Fang;  Tang, Ruqi;  Zuo, Xianbo;  Shi, Xingjuan;  Wei, Yiran;  Zheng, Xiaodong;  Dai, Yaping;  Gong, Yuhua;  Wang, Lan;  Xu, Ping;  Zhu, Xiang;  Wu, Jian;  Han, Chongxu;  Gao, Yueqiu;  Zhang, Kui;  Jiang, Yuzhang;  Zhou, Jianbo;  Shao, Youlin;  Hu, Zhigang;  Tian, Ye;  Zhang, Haiyan;  Dai, Na;  Liu, Lei;  Wu, Xudong;  Zhao, Weifeng;  Zhang, Xiaomin;  Zang, Zhidong;  Nie, Jinshan;  Sun, Weihao;  Zhao, Yi;  Mao, Yuan;  Jiang, Po;  Ji, Hualiang;  Dong, Qing;  Li, Junming;  Li, Zhenzhong;  Bai, Xinli;  Li, Li;  Lin, Maosong;  Dong, Ming;  Li, Jinxin;  Zhu, Ping;  Wang, Chan;  Zhang, Yanqiu;  Jiang, Peng;  Wang, Yujue;  Jawed, Rohil;  Xu, Jing;  Zhang, Yu;  Wang, Qixia;  Yang, Yue;  Yang, Fan;  Lian, Min;  Jiang, Xiang;  Xiao, Xiao;  Li, Yanmei;  Fang, Jingyuan;  Qiu, Dekai;  Zhu, Zhen;  Qiu, Hong;  Zhang, Jianqiong;  Tian, Wenyan;  Chen, Sufang;  Jiang, Ling;  Ji, Bing;  Li, Ping;  Chen, Guochang;  Wu, Tianxue;  Sun, Yan;  Yu, Jianjiang;  Tang, Huijun;  He, Michun;  Xia, Min;  Pei, Hao;  Huang, Lihua;  Qing, Zhuye;  Wu, Jianfang;  Huang, Qinghai;  Han, Junhai;  Xie, Wei;  Sun, Zhongsheng;  Guo, Jian;  He, Gengsheng;  Gershwin, M. Eric;  Lian, Zhexiong;  Liu, Xiang;  Seldin, Michael F.;  Liu, Xiangdong;  Chen, Weichang;  Ma, Xiong
收藏  |  浏览/下载:17/0  |  提交时间:2019/11/27