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Multi-year El Ni帽o events tied to the North Pacific Oscillation 期刊论文
Nature Communications, 2022
作者:  Ding, Ruiqiang;  Tseng, Yu‐;  Heng;  Di Lorenzo, Emanuele;  Shi, Liang;  Li, Jianping;  Yu, Jin-Yi;  Wang, Chunzai;  Sun, Cheng;  Luo, Jing-Jia;  Ha, Kyung‑;  Ja;  Hu, Zeng-Zhen;  Li, Feifei
收藏  |  浏览/下载:22/0  |  提交时间:2022/07/08
Global gross nitrification rates are dominantly driven by soil carbon-to-nitrogen stoichiometry and total nitrogen 期刊论文
Global Change Biology, 2021
作者:  Ahmed S. Elrys;  Jing Wang;  Mohamed A. S. Metwally;  Yi Cheng;  Jin-Bo Zhang;  Zu-Cong Cai;  Scott X. Chang;  Christoph Mü;  ller
收藏  |  浏览/下载:14/0  |  提交时间:2021/10/07
Lead halide–templated crystallization of methylamine-free perovskite for efficient photovoltaic modules 期刊论文
Science, 2021
作者:  Tongle Bu;  Jing Li;  Hengyi Li;  Congcong Tian;  Jie Su;  Guoqing Tong;  Luis K. Ono;  Chao Wang;  Zhipeng Lin;  Nianyao Chai;  Xiao-Li Zhang;  Jingjing Chang;  Jianfeng Lu;  Jie Zhong;  Wenchao Huang;  Yabing Qi;  Yi-Bing Cheng;  Fuzhi Huang
收藏  |  浏览/下载:26/0  |  提交时间:2021/06/24
SARS-CoV-2 Mpro inhibitors with antiviral activity in a transgenic mouse model 期刊论文
Science, 2021
作者:  Jingxin Qiao;  Yue-Shan Li;  Rui Zeng;  Feng-Liang Liu;  Rong-Hua Luo;  Chong Huang;  Yi-Fei Wang;  Jie Zhang;  Baoxue Quan;  Chenjian Shen;  Xin Mao;  Xinlei Liu;  Weining Sun;  Wei Yang;  Xincheng Ni;  Kai Wang;  Ling Xu;  Zi-Lei Duan;  Qing-Cui Zou;  Hai-Lin Zhang;  Wang Qu;  Yang-Hao-Peng Long;  Ming-Hua Li;  Rui-Cheng Yang;  Xiaolong Liu;  Jing You;  Yangli Zhou;  Rui Yao;  Wen-Pei Li;  Jing-Ming Liu;  Pei Chen;  Yang Liu;  Gui-Feng Lin;  Xin Yang;  Jun Zou;  Linli Li;  Yiguo Hu;  Guang-Wen Lu;  Wei-Min Li;  Yu-Quan Wei;  Yong-Tang Zheng;  Jian Lei;  Shengyong Yang
收藏  |  浏览/下载:15/0  |  提交时间:2021/04/06
Role of export industries on ozone pollution and its precursors in China 期刊论文
Nature Communications, 2020
作者:  Jiamin Ou;  Zhijiong Huang;  Zbigniew Klimont;  Guanglin Jia;  Shaohui Zhang;  Cheng Li;  Jing Meng;  Zhifu Mi;  Heran Zheng;  Yuli Shan;  Peter K. K. Louie;  Junyu Zheng;  Dabo Guan
收藏  |  浏览/下载:18/0  |  提交时间:2020/11/09
Sustainable production of value-added carbon nanomaterials from biomass pyrolysis 期刊论文
NATURE SUSTAINABILITY, 2020
作者:  Zhang, Shun;  Jiang, Shun-Feng;  Huang, Bao-Cheng;  Shen, Xian-Cheng;  Chen, Wen-Jing;  Zhou, Tian-Pei;  Cheng, Hui-Yuan;  Cheng, Bin-Hai;  Wu, Chang-Zheng;  Li, Wen-Wei;  Jiang, Hong;  Yu, Han-Qing
收藏  |  浏览/下载:20/0  |  提交时间:2020/05/20
A simple dynamic model explains the diversity of island birds worldwide 期刊论文
NATURE, 2020
作者:  Li, Junxue;  Wilson, C. Blake;  Cheng, Ran;  Lohmann, Mark;  Kavand, Marzieh;  Yuan, Wei;  Aldosary, Mohammed;  Agladze, Nikolay;  Wei, Peng;  Sherwin, Mark S.;  Shi, Jing
收藏  |  浏览/下载:12/0  |  提交时间:2020/07/03

Colonization, speciation and extinction are dynamic processes that influence global patterns of species richness(1-6). Island biogeography theory predicts that the contribution of these processes to the accumulation of species diversity depends on the area and isolation of the island(7,8). Notably, there has been no robust global test of this prediction for islands where speciation cannot be ignored(9), because neither the appropriate data nor the analytical tools have been available. Here we address both deficiencies to reveal, for island birds, the empirical shape of the general relationships that determine how colonization, extinction and speciation rates co-vary with the area and isolation of islands. We compiled a global molecular phylogenetic dataset of birds on islands, based on the terrestrial avifaunas of 41 oceanic archipelagos worldwide (including 596 avian taxa), and applied a new analysis method to estimate the sensitivity of island-specific rates of colonization, speciation and extinction to island features (area and isolation). Our model predicts-with high explanatory power-several global relationships. We found a decline in colonization with isolation, a decline in extinction with area and an increase in speciation with area and isolation. Combining the theoretical foundations of island biogeography(7,8) with the temporal information contained in molecular phylogenies(10) proves a powerful approach to reveal the fundamental relationships that govern variation in biodiversity across the planet.


Using a global molecular phylogenetic dataset of birds on islands, the sensitivity of island-specific rates of colonization, speciation and extinction to island features (area and isolation) is estimated.


  
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).


  
Universal passivation strategy to slot-die printed SnO2 for hysteresis-free efficient flexible perovskite solar module 期刊论文
NATURE COMMUNICATIONS, 2018, 9
作者:  Bu, Tongle;  Li, Jing;  Zheng, Fei;  Chen, Weijian;  Wen, Xiaoming;  Ku, Zhiliang;  Peng, Yong;  Zhong, Jie;  Cheng, Yi-Bing;  Huang, Fuzhi
收藏  |  浏览/下载:8/0  |  提交时间:2019/11/27
Manganese acting as a high-performance heterogeneous electrocatalyst in carbon dioxide reduction 期刊论文
NATURE COMMUNICATIONS, 2019, 10
作者:  Zhang, Bingxing;  Zhang, Jianling;  Shi, Jinbiao;  Tan, Dongxing;  Liu, Lifei;  Zhang, Fanyu;  Lu, Cheng;  Su, Zhuizhui;  Tan, Xiuniang;  Cheng, Xiuyan;  Han, Buxing;  Zheng, Lirong;  Zhang, Jing
收藏  |  浏览/下载:7/0  |  提交时间:2019/11/27