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Hierarchical-morphology metafabric for scalable passive daytime radiative cooling 期刊论文
Science, 2021
作者:  Shaoning Zeng;  Sijie Pian;  Minyu Su;  Zhuning Wang;  Maoqi Wu;  Xinhang Liu;  Mingyue Chen;  Yuanzhuo Xiang;  Jiawei Wu;  Manni Zhang;  Qingqing Cen;  Yuwei Tang;  Xianheng Zhou;  Zhiheng Huang;  Rui Wang;  Alitenai Tunuhe;  Xiyu Sun;  Zhigang Xia;  Mingwei Tian;  Min Chen;  Xiao Ma;  Lvyun Yang;  Jun Zhou;  Huamin Zhou;  Qing Yang;  Xin Li;  Yaoguang Ma;  Guangming Tao
收藏  |  浏览/下载:19/0  |  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
The association between maternal exposure to fine particulate matter (PM2.5) and gestational diabetes mellitus (GDM): a prospective birth cohort study in China 期刊论文
Environmental Research Letters, 2021
作者:  Guimin Chen;  Xiaoli Sun;  Jiaqi Wang;  Moran Dong;  Yufeng Ye;  Xin Liu;  Jiufeng Sun;  Jianpeng Xiao;  Guanhao He;  Jianxiong Hu;  Lingchuan Guo;  Xing Li;  Zuhua Rong;  Weilin Zeng;  He Zhou;  Dengzhou Chen;  Jiali Li;  Wenjun Ma;  Maksym Bartashevskyy;  Xiaozhong Wen;  Tao Liu
收藏  |  浏览/下载:11/0  |  提交时间:2021/04/20
Global urban reforestation can be an important natural climate solution 期刊论文
Environmental Research Letters, 2021
作者:  Hoong Chen Teo;  Yiwen Zeng;  Tasya Vadya Sarira;  Tze Kwan Fung;  Qiming Zheng;  Xiao Ping Song;  Kwek Yan Chong;  Lian Pin Koh
收藏  |  浏览/下载:8/0  |  提交时间:2021/03/12
Potential of hotspot solar‐induced chlorophyll fluorescence for better tracking terrestrial photosynthesis 期刊论文
Global Change Biology, 2021
作者:  Dalei Hao;  Ghassem R. Asrar;  Yelu Zeng;  Xi Yang;  Xing Li;  Jingfeng Xiao;  Kaiyu Guan;  Jianguang Wen;  Qing Xiao;  Joseph A. Berry;  Min Chen
收藏  |  浏览/下载:12/0  |  提交时间:2021/03/02
Dissolved organic carbon in rainwater from a karst agricultural area of Southwest China: Variations, sources, and wet deposition fluxes 期刊论文
Atmospheric Research, 2020
作者:  Jie Zeng, Fu-Jun Yue, Min Xiao, Zhong -Jun Wang, ... Cai-Qing Qin
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/21
Alcohol-derived DNA crosslinks are repaired by two distinct mechanisms 期刊论文
NATURE, 2020, 579 (7800) : 603-+
作者:  Xu, Wanghuai;  Zheng, Huanxi;  Liu, Yuan;  Zhou, Xiaofeng;  Zhang, Chao;  Song, Yuxin;  Deng, Xu;  Leung, Michael;  Yang, Zhengbao;  Xu, Ronald X.;  Wang, Zhong Lin;  Zeng, Xiao Cheng;  Wang, Zuankai
收藏  |  浏览/下载:20/0  |  提交时间:2020/07/03

Acetaldehyde is a highly reactive, DNA-damaging metabolite that is produced upon alcohol consumption(1). Impaired detoxification of acetaldehyde is common in the Asian population, and is associated with alcohol-related cancers(1,2). Cells are protected against acetaldehyde-induced damage by DNA crosslink repair, which when impaired causes Fanconi anaemia (FA), a disease resulting in failure to produce blood cells and a predisposition to cancer(3,4). The combined inactivation of acetaldehyde detoxification and the FA pathway induces mutation, accelerates malignancies and causes the rapid attrition of blood stem cells(5-7). However, the nature of the DNA damage induced by acetaldehyde and how this is repaired remains a key question. Here we generate acetaldehyde-induced DNA interstrand crosslinks and determine their repair mechanism in Xenopus egg extracts. We find that two replication-coupled pathways repair these lesions. The first is the FA pathway, which operates using excision-analogous to the mechanism used to repair the interstrand crosslinks caused by the chemotherapeutic agent cisplatin. However, the repair of acetaldehyde-induced crosslinks results in increased mutation frequency and an altered mutational spectrum compared with the repair of cisplatin-induced crosslinks. The second repair mechanism requires replication fork convergence, but does not involve DNA incisions-instead the acetaldehyde crosslink itself is broken. The Y-family DNA polymerase REV1 completes repair of the crosslink, culminating in a distinct mutational spectrum. These results define the repair pathways of DNA interstrand crosslinks caused by an endogenous and alcohol-derived metabolite, and identify an excision-independent mechanism.


DNA interstrand crosslinks induced by acetaldehyde are repaired by both the Fanconi anaemia pathway and by a second, excision-independent repair mechanism.


  
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).


  
Petrogenesis of the southern Qiangtang mafic dykes, Tibet: Link to a late Paleozoic mantle plume on the northern margin of Gondwana? 期刊论文
GEOLOGICAL SOCIETY OF AMERICA BULLETIN, 2019, 131: 1907-1919
作者:  Wang, Ming;  Li, Cai;  Zeng, Xiao-Wen;  Li, Hang;  Fan, Jian-Jun;  Xie, Chao-Ming;  Hao, Yu-Jie
收藏  |  浏览/下载:39/0  |  提交时间:2019/11/27
Contrasting changes in the sea surface temperature and upper ocean heat content in the South China Sea during recent decades 期刊论文
CLIMATE DYNAMICS, 2019, 53: 1597-1612
作者:  Xiao, Fuan;  Wang, Dongxiao;  Zeng, Lili;  Liu, Qin-Yan;  Zhou, Wen
收藏  |  浏览/下载:10/0  |  提交时间:2019/11/27
Sea surface temperature  Upper ocean heat content  South China Sea  Regime shift  Interdecadal Pacific Oscillation