GSTDTAP

浏览/检索结果: 共25条,第1-10条 帮助

限定条件                
已选(0)清除 条数/页:   排序方式:
Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations 期刊论文
Proceedings of the National Academy of Science, 2021
作者:  Xiaofan Xing;  Yuankang Xiong;  Ruipu Yang;  Rong Wang;  Weibing Wang;  Haidong Kan;  Tun Lu;  Dongsheng Li;  Junji Cao;  Josep Peñuelas;  Philippe Ciais;  Nico Bauer;  Olivier Boucher;  Yves Balkanski;  Didier Hauglustaine;  Guy Brasseur;  Lidia Morawska;  Ivan A. Janssens;  Xiangrong Wang;  Jordi Sardans;  Yijing Wang;  Yifei Deng;  Lin Wang;  Jianmin Chen;  Xu Tang;  Renhe Zhang
收藏  |  浏览/下载:16/0  |  提交时间:2021/08/17
Characteristics of indoor and personal exposure to particulate organic compounds emitted from domestic solid fuel combustion in rural areas of northwest China 期刊论文
Atmospheric Research, 2020
作者:  Kailai He, Hongmei Xu, Rong Feng, Zhenxing Shen, ... Junji Cao
收藏  |  浏览/下载:6/0  |  提交时间:2020/08/18
Contrasting sources and processes of particulate species in haze days with low and high relative humidity in wintertime Beijing 期刊论文
Atmospheric Chemistry and Physics, 2020
作者:  Ru-Jin Huang, Yao He, Jing Duan, Yongjie Li, Qi Chen, Yan Zheng, Yang Chen, Weiwei Hu, Chunshui Lin, Haiyan Ni, Wenting Dai, Junji Cao, Yunfei Wu, Renjian Zhang, Wei Xu, Jurgita Ovadnevaite, Darius Ceburnis, Thorsten Hoffmann, and Colin D. O'Dowd
收藏  |  浏览/下载:14/0  |  提交时间:2020/08/09
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:16/0  |  提交时间:2020/06/16
PM2.5 Humic-like substances over Xi'an, China: Optical properties, chemical functional group, and source identification 期刊论文
ATMOSPHERIC RESEARCH, 2020, 234
作者:  Zhang, Tian;  Shen, Zhenxing;  Zhang, Leiming;  Tang, Zhuoyue;  Zhang, Qian;  Chen, Qingcai;  Lei, Yali;  Zeng, Yaling;  Xu, Hongmei;  Cao, Junji
收藏  |  浏览/下载:9/0  |  提交时间:2020/07/02
Humic-like substances  Optical properties  Chemical groups  Sources  
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:143/0  |  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).


  
N-6-methyladenosine RNA modification-mediated cellular metabolism rewiring inhibits viral replication 期刊论文
SCIENCE, 2019, 365 (6458) : 1171-+
作者:  Liu, Yang;  You, Yuling;  Lu, Zhike;  Yang, Jiang;  Li, Panpan;  Liu, Lun;  Xu, Henan;  Niu, Yamei;  Cao, Xuetao
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/27
Ozone enhancement due to the photodissociation of nitrous acid in eastern China 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (17) : 11267-11278
作者:  Tie, Xuexi;  Long, Xin;  Li, Guohui;  Zhao, Shuyu;  Cao, Junji;  Xu, Jianming
收藏  |  浏览/下载:9/0  |  提交时间:2019/11/27
Chemical and optical properties of carbonaceous aerosols in Nanjing, eastern China: regionally transported biomass burning contribution 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (17) : 11213-11233
作者:  Liu, Xiaoyan;  Zhang, Yan-Lin;  Peng, Yiran;  Xu, Lulu;  Zhu, Chunmao;  Cao, Fang;  Zhai, Xiaoyao;  Haque, M. Mozammel;  Yang, Chi;  Chang, Yunhua;  Huang, Tong;  Xu, Zufei;  Bao, Mengying;  Zhang, Wenqi;  Fan, Meiyi;  Lee, Xuhui
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/27
Personal exposure to PM(2.5 )emitted from typical anthropogenic sources in southern West Africa: chemical characteristics and associated health risks 期刊论文
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2019, 19 (10) : 6637-6657
作者:  Xu, Hongmei;  Leon, Jean-Francois;  Liousse, Cathy;  Guinot, Benjamin;  Yoboue, Veronique;  Akpo, Aristide Barthelemy;  Adon, Jacques;  Ho, Kin Fai;  Ho, Steven Sai Hang;  Li, Lijuan;  Gardrat, Eric;  Shen, Zhenxing;  Cao, Junji
收藏  |  浏览/下载:16/0  |  提交时间:2019/11/26