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Molecular characterization of firework-related urban aerosols using Fourier transform ion cyclotron resonance mass spectrometry 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (11) : 6803-6820
作者:  Xie, Qiaorong;  Su, Sihui;  Chen, Shuang;  Xu, Yisheng;  Cao, Dong;  Chen, Jing;  Ren, Lujie;  Yue, Siyao;  Zhao, Wanyu;  Sun, Yele;  Wang, Zifa;  Tong, Haijie;  Su, Hang;  Cheng, Yafang;  Kawamura, Kimitaka;  Jiang, Guibin;  Liu, Cong-Qiang;  Fu, Pingqing
收藏  |  浏览/下载:15/0  |  提交时间:2020/06/16
Dynamic projection of anthropogenic emissions in China: methodology and 2015-2050 emission pathways under a range of socio-economic, climate policy, and pollution control scenarios 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (9) : 5729-5757
作者:  Tong, Dan;  Cheng, Jing;  Liu, Yang;  Yu, Sha;  Yan, Liu;  Hong, Chaopeng;  Qin, Yu;  Zhao, Hongyan;  Zheng, Yixuan;  Geng, Guannan;  Li, Meng;  Liu, Fei;  Zhang, Yuxuan;  Zheng, Bo;  Clarke, Leon;  Zhang, Qiang
收藏  |  浏览/下载:24/0  |  提交时间:2020/08/18
Dynamic projection of anthropogenic emissions in China: methodology and 2015-2050 emission pathways under a range of socio-economic, climate policy, and pollution control scenarios 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (9) : 5729-5757
作者:  Tong, Dan;  Cheng, Jing;  Liu, Yang;  Yu, Sha;  Yan, Liu;  Hong, Chaopeng;  Qin, Yu;  Zhao, Hongyan;  Zheng, Yixuan;  Geng, Guannan;  Li, Meng;  Liu, Fei;  Zhang, Yuxuan;  Zheng, Bo;  Clarke, Leon;  Zhang, Qiang
收藏  |  浏览/下载:20/0  |  提交时间:2020/05/20
Influx of African biomass burning aerosol during the Amazonian dry season through layered transatlantic transport of black carbon-rich smoke 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (8) : 4757-4785
作者:  Holanda, Bruna A.;  Poehlker, Mira L.;  Walter, David;  Saturno, Jorge;  Soergel, Matthias;  Ditas, Jeannine;  Ditas, Florian;  Schulz, Christiane;  Franco, Marco Aurelio;  Wang, Qiaoqiao;  Donth, Tobias;  Artaxo, Paulo;  Barbosa, Henrique M. J.;  Borrmann, Stephan;  Braga, Ramon;  Brito, Joel;  Cheng, Yafang;  Dollner, Maximilian;  Kaiser, Johannes W.;  Klimach, Thomas;  Knote, Christoph;  Krueger, Ovid O.;  Fuetterer, Daniel;  Lavric, Jost, V;  Ma, Nan;  Machado, Luiz A. T.;  Ming, Jing;  Morais, Fernando G.;  Paulsen, Hauke;  Sauer, Daniel;  Schlager, Hans;  Schneider, Johannes;  Su, Hang;  Weinzierl, Bernadett;  Walser, Adrian;  Wendisch, Manfred;  Ziereis, Helmut;  Zoeger, Martin;  Poeschl, Ulrich;  Andreae, Meinrat O.;  Poehlker, Christopher
收藏  |  浏览/下载:32/0  |  提交时间:2020/07/02
Chemical and source characterization of PM2.5 in summertime in severely polluted Lahore, Pakistan 期刊论文
ATMOSPHERIC RESEARCH, 2020, 234
作者:  Ahmad, Mushtaq;  Cheng, Siming;  Yu, Qing;  Qin, Weihua;  Zhang, Yuepeng;  Chen, Jing
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/02
South Asia  Air pollution  Black carbon  CWT  Source apportionment  
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).


  
Rapid transition in winter aerosol composition in Beijing from 2014 to 2017: response to clean air actions 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (17) : 11485-11499
作者:  Li, Haiyan;  Cheng, Jing;  Zhang, Qiang;  Zheng, Bo;  Zhang, Yuxuan;  Zheng, Guangjie;  He, Kebin
收藏  |  浏览/下载:7/0  |  提交时间:2019/11/27
Assessing the impact of clean air action on air quality trends in Beijing using a machine learning technique 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (17) : 11303-11314
作者:  Vu, Tuan V.;  Shi, Zongbo;  Cheng, Jing;  Zhang, Qiang;  He, Kebin;  Wang, Shuxiao;  Harrison, Roy M.
收藏  |  浏览/下载:10/0  |  提交时间:2019/11/27
Population exposed to drought under the 1.5 degrees C and 2.0 degrees C warming in the Indus River Basin (vol 218, pg 296, 2019) 期刊论文
ATMOSPHERIC RESEARCH, 2019, 222: 172-172
作者:  Wen, Shanshan;  Wang, Anqian;  Tao, Hui;  Malik, Khalid;  Huang, Jinlong;  Zhai, Jianqing;  Jing, Cheng;  Rasul, Ghulam;  Su, Buda
收藏  |  浏览/下载:8/0  |  提交时间:2019/11/26