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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
Liquid medium annealing for fabricating durable perovskite solar cells with improved reproducibility 期刊论文
Science, 2021
作者:  Nengxu Li;  Xiuxiu Niu;  Liang Li;  Hao Wang;  Zijian Huang;  Yu Zhang;  Yihua Chen;  Xiao Zhang;  Cheng Zhu;  Huachao Zai;  Yang Bai;  Sai Ma;  Huifen Liu;  Xixia Liu;  Zhenyu Guo;  Guilin Liu;  Rundong Fan;  Hong Chen;  Jianpu Wang;  Yingzhuo Lun;  Xueyun Wang;  Jiawang Hong;  Haipeng Xie;  Devon S. Jakob;  Xiaoji G. Xu;  Qi Chen;  Huanping Zhou
收藏  |  浏览/下载:38/0  |  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
Quantum computational advantage using photons 期刊论文
Science, 2020
作者:  Han-Sen Zhong;  Hui Wang;  Yu-Hao Deng;  Ming-Cheng Chen;  Li-Chao Peng;  Yi-Han Luo;  Jian Qin;  Dian Wu;  Xing Ding;  Yi Hu;  Peng Hu;  Xiao-Yan Yang;  Wei-Jun Zhang;  Hao Li;  Yuxuan Li;  Xiao Jiang;  Lin Gan;  Guangwen Yang;  Lixing You;  Zhen Wang;  Li Li;  Nai-Le Liu;  Chao-Yang Lu;  Jian-Wei Pan
收藏  |  浏览/下载:31/0  |  提交时间:2020/12/22
Giant piezoelectricity in oxide thin films with nanopillar structure 期刊论文
Science, 2020
作者:  Huajun Liu;  Haijun Wu;  Khuong Phuong Ong;  Tiannan Yang;  Ping Yang;  Pranab Kumar Das;  Xiao Chi;  Yang Zhang;  Caozheng Diao;  Wai Kong Alaric Wong;  Eh Piew Chew;  Yi Fan Chen;  Chee Kiang Ivan Tan;  Andrivo Rusydi;  Mark B. H. Breese;  David J. Singh;  Long-Qing Chen;  Stephen J. Pennycook;  Kui Yao
收藏  |  浏览/下载:14/0  |  提交时间:2020/07/21
Structure-based design of antiviral drug candidates targeting the SARS-CoV-2 main protease 期刊论文
Science, 2020
作者:  Wenhao Dai;  Bing Zhang;  Xia-Ming Jiang;  Haixia Su;  Jian Li;  Yao Zhao;  Xiong Xie;  Zhenming Jin;  Jingjing Peng;  Fengjiang Liu;  Chunpu Li;  You Li;  Fang Bai;  Haofeng Wang;  Xi Cheng;  Xiaobo Cen;  Shulei Hu;  Xiuna Yang;  Jiang Wang;  Xiang Liu;  Gengfu Xiao;  Hualiang Jiang;  Zihe Rao;  Lei-Ke Zhang;  Yechun Xu;  Haitao Yang;  Hong Liu
收藏  |  浏览/下载:18/0  |  提交时间:2020/06/22
A noncompeting pair of human neutralizing antibodies block COVID-19 virus binding to its receptor ACE2 期刊论文
Science, 2020
作者:  Yan Wu;  Feiran Wang;  Chenguang Shen;  Weiyu Peng;  Delin Li;  Cheng Zhao;  Zhaohui Li;  Shihua Li;  Yuhai Bi;  Yang Yang;  Yuhuan Gong;  Haixia Xiao;  Zheng Fan;  Shuguang Tan;  Guizhen Wu;  Wenjie Tan;  Xuancheng Lu;  Changfa Fan;  Qihui Wang;  Yingxia Liu;  Chen Zhang;  Jianxun Qi;  George Fu Gao;  Feng Gao;  Lei Liu
收藏  |  浏览/下载:11/0  |  提交时间:2020/06/16
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:21/0  |  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.


  
Nagaoka ferromagnetism observed in a quantum dot plaquette 期刊论文
NATURE, 2020, 579 (7800) : 528-533
作者:  Yu, Yong;  Ma, Fei;  Luo, Xi-Yu;  Jing, Bo;  Sun, Peng-Fei;  Fang, Ren-Zhou;  Yang, Chao-Wei;  Liu, Hui;  Zheng, Ming-Yang;  Xie, Xiu-Ping;  Zhang, Wei-Jun;  You, Li-Xing;  Wang, Zhen;  Chen, Teng-Yun;  Zhang, Qiang;  Bao, Xiao-Hui;  Pan, Jian-Wei
收藏  |  浏览/下载:31/0  |  提交时间:2020/07/03

A quantum dot device designed to host four electrons is used to demonstrate Nagaoka ferromagnetism-a model of itinerant magnetism that has so far been limited to theoretical investigation.


Engineered, highly controllable quantum systems are promising simulators of emergent physics beyond the simulation capabilities of classical computers(1). An important problem in many-body physics is itinerant magnetism, which originates purely from long-range interactions of free electrons and whose existence in real systems has been debated for decades(2,3). Here we use a quantum simulator consisting of a four-electron-site square plaquette of quantum dots(4) to demonstrate Nagaoka ferromagnetism(5). This form of itinerant magnetism has been rigorously studied theoretically(6-9) but has remained unattainable in experiments. We load the plaquette with three electrons and demonstrate the predicted emergence of spontaneous ferromagnetic correlations through pairwise measurements of spin. We find that the ferromagnetic ground state is remarkably robust to engineered disorder in the on-site potentials and we can induce a transition to the low-spin state by changing the plaquette topology to an open chain. This demonstration of Nagaoka ferromagnetism highlights that quantum simulators can be used to study physical phenomena that have not yet been observed in any experimental system. The work also constitutes an important step towards large-scale quantum dot simulators of correlated electron systems.


  
Recurrent interactions in local cortical circuits 期刊论文
NATURE, 2020, 579 (7798) : 256-+
作者:  Liu, Yang;  Nguyen, Phong T.;  Wang, Xun;  Zhao, Yuting;  Meacham, Corbin E.;  Zou, Zhongju;  Bordieanu, Bogdan;  Johanns, Manuel;  Vertommen, Didier;  Wijshake, Tobias;  May, Herman;  Xiao, Guanghua;  Shoji-Kawata, Sanae;  Rider, Mark H.
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/03

Most cortical synapses are local and excitatory. Local recurrent circuits could implement amplification, allowing pattern completion and other computations(1-4). Cortical circuits contain subnetworks that consist of neurons with similar receptive fields and increased connectivity relative to the network average(5,6). Cortical neurons that encode different types of information are spatially intermingled and distributed over large brain volumes(5-7), and this complexity has hindered attempts to probe the function of these subnetworks by perturbing them individually(8). Here we use computational modelling, optical recordings and manipulations to probe the function of recurrent coupling in layer 2/3 of the mouse vibrissal somatosensory cortex during active tactile discrimination. A neural circuit model of layer 2/3 revealed that recurrent excitation enhances sensory signals by amplification, but only for subnetworks with increased connectivity. Model networks with high amplification were sensitive to damage: loss of a few members of the subnetwork degraded stimulus encoding. We tested this prediction by mapping neuronal selectivity(7) and photoablating(9,10) neurons with specific selectivity. Ablation of a small proportion of layer 2/3 neurons (10-20, less than 5% of the total) representing touch markedly reduced responses in the spared touch representation, but not in other representations. Ablations most strongly affected neurons with stimulus responses that were similar to those of the ablated population, which is also consistent with network models. Recurrence among cortical neurons with similar selectivity therefore drives input-specific amplification during behaviour.


Computational modelling, imaging and single-cell ablation in layer 2/3 of the mouse vibrissal somatosensory cortex reveals that recurrent activity in cortical neurons can drive input-specific amplification during behaviour.