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Assessments of the factors controlling latent heat flux and the coupling degree between an alpine wetland and the atmosphere on the Qinghai-Tibetan Plateau in summer 期刊论文
ATMOSPHERIC RESEARCH, 2020, 240
作者:  Chen, Jinlei;  Wen, Jun;  Kang, Shichang;  Meng, Xianhong;  Tian, Hui;  Ma, Xin;  Yuan, Yuan
收藏  |  浏览/下载:10/0  |  提交时间:2020/08/18
Wetlands  Latent heat  Coupling  Control factor  CLM  
Anthropogenic Aerosols Significantly Reduce Mesoscale Convective System Occurrences and Precipitation Over Southern China in April 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (6)
作者:  Zhang, Lijuan;  Fu, Tzung-May;  Tian, Heng;  Ma, Yaping;  Chen, Jen-Ping;  Tsai, Tzu-Chin;  Tsai, I-Chun;  Meng, Zhiyong;  Yang, Xin
收藏  |  浏览/下载:13/0  |  提交时间:2020/07/02
anthropogenic aerosols  precipitation  mesoscale convective systems  aerosol-cloud interactions  aerosol-radiation interactions  
A framework for nitrogen futures in the shared socioeconomic pathways 期刊论文
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2020, 61
作者:  Kanter, David R.;  Winiwarter, Wilfried;  Bodirsky, Benjamin L.;  Bouwman, Lex;  Boyer, Elizabeth;  Buckle, Simon;  Compton, Jana E.;  Dalgaard, Tommy;  de Vries, Wim;  Leclere, David;  Leip, Adrian;  Mueller, Christoph;  Popp, Alexander;  Raghuram, Nandula;  Rao, Shilpa;  Sutton, Mark A.;  Tian, Hanqin;  Westhoek, Henk;  Zhang, Xin;  Zurek, Monika
收藏  |  浏览/下载:10/0  |  提交时间:2020/07/02
Scenarios  Nitrogen pollution  Environmental policy  
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).


  
Impact of the Green Light Program on haze in the North China Plain, China 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (17) : 11185-11197
作者:  Long, Xin;  Tie, Xuexi;  Zhou, Jiamao;  Dai, Wenting;  Li, Xueke;  Feng, Tian;  Li, Guohui;  Cao, Junji;  An, Zhisheng
收藏  |  浏览/下载:5/0  |  提交时间:2019/11/27
Divergent long-term trends and interannual variation in ecosystem resource use efficiencies of a southern boreal old black spruce forest 1999-2017 期刊论文
GLOBAL CHANGE BIOLOGY, 2019, 25 (9) : 3056-3069
作者:  Liu, Peng;  Black, T. Andrew;  Jassal, Rachhpal S.;  Zha, Tianshan;  Nesic, Zoran;  Barr, Alan G.;  Helgason, Warren D.;  Jia, Xin;  Tian, Yun;  Stephens, Jilmarie J.;  Ma, Jingyong
收藏  |  浏览/下载:7/0  |  提交时间:2019/11/27
carbon use efficiency  climate change  gross ecosystem productivity  light use efficiency  long-term trends  Old Black Spruce  southern boreal forest  water use efficiency  
High Contribution of Secondary Brown Carbon to Aerosol Light Absorption in the Southeastern Margin of Tibetan Plateau 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (9) : 4962-4970
作者:  Wang, Qiyuan;  Han, Yongming;  Ye, Jianhuai;  Liu, Suixin;  Pongpiachan, Siwatt;  Zhang, Ningning;  Han, Yuemei;  Tian, Jie;  Wu, Cheng;  Long, Xin;  Zhang, Qian;  Zhang, Wenyan;  Zhao, Zhuzi;  Cao, Junji
收藏  |  浏览/下载:10/0  |  提交时间:2019/11/26
Where to monitor the soil-water potential for scheduling drip irrigation in Populus tomentosa plantations located on the North China Plain? 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 437: 99-112
作者:  Yang, Tian;  Li, Doudou;  Clothier, Brent;  Wang, Ye;  Duan, Jie;  Di, Nan;  Li, Guangde;  Li, Xin;  Jia, Liming;  Xi, Benye;  Hu, Wei
收藏  |  浏览/下载:10/0  |  提交时间:2019/04/09
Irrigation management  Temporal-stability analysis  HYDRUS  Fine roots  Transpiration  Poplars  
Ground-based MAX-DOAS observations of tropospheric formaldehyde VCDs and comparisons with the CAMS model at a rural site near Beijing during APEC 2014 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (5) : 3375-3393
作者:  Tian, Xin;  Xie, Pinhua;  Xu, Jin;  Wang, Yang;  Li, Ang;  Wu, Fengcheng;  Hu, Zhaokun;  Liu, Cheng;  Zhang, Qiong
收藏  |  浏览/下载:7/0  |  提交时间:2019/04/09
Emission Characteristics of Primary Brown Carbon Absorption From Biomass and Coal Burning: Development of an Optical Emission Inventory for China 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (3) : 1879-1893
作者:  Tian, Jie;  Wang, Qiyuan;  Ni, Haiyan;  Wang, Meng;  Zhou, Yaqing;  Han, Yongming;  Shen, Zhenxing;  Pongpiachan, Siwatt;  Zhang, Ningning;  Zhao, Zhuzi;  Zhang, Qian;  Zhang, Yue;  Long, Xin;  Cao, Junji
收藏  |  浏览/下载:8/0  |  提交时间:2019/04/09