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Gainers and losers of surface and terrestrial water resources in China during 1989-2016 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Wang, Xinxin;  Xiao, Xiangming;  Zou, Zhenhua;  Dong, Jinwei;  Qin, Yuanwei;  Doughty, Russell B.;  Menarguez, Michael A.;  Chen, Bangqian;  Wang, Junbang;  Ye, Hui;  Ma, Jun;  Zhong, Qiaoyan;  Zhao, Bin;  Li, Bo
收藏  |  浏览/下载:23/0  |  提交时间:2020/07/14
Population flow drives spatio-temporal distribution of COVID-19 in China 期刊论文
NATURE, 2020
作者:  Fernandez, Diego Carlos;  Komal, Ruchi;  Langel, Jennifer;  Ma, Jun;  Duy, Phan Q.;  Penzo, Mario A.;  Zhao, Haiqing;  Hattar, Samer
收藏  |  浏览/下载:69/0  |  提交时间:2020/07/03

Sudden, large-scale and diffuse human migration can amplify localized outbreaks of disease into widespread epidemics(1-4). Rapid and accurate tracking of aggregate population flows may therefore be epidemiologically informative. Here we use 11,478,484 counts of mobile phone data from individuals leaving or transiting through the prefecture of Wuhan between 1 January and 24 January 2020 as they moved to 296 prefectures throughout mainland China. First, we document the efficacy of quarantine in ceasing movement. Second, we show that the distribution of population outflow from Wuhan accurately predicts the relative frequency and geographical distribution of infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) until 19 February 2020, across mainland China. Third, we develop a spatio-temporal '  risk source'  model that leverages population flow data (which operationalize the risk that emanates from epidemic epicentres) not only to forecast the distribution of confirmed cases, but also to identify regions that have a high risk of transmission at an early stage. Fourth, we use this risk source model to statistically derive the geographical spread of COVID-19 and the growth pattern based on the population outflow from Wuhan  the model yields a benchmark trend and an index for assessing the risk of community transmission of COVID-19 over time for different locations. This approach can be used by policy-makers in any nation with available data to make rapid and accurate risk assessments and to plan the allocation of limited resources ahead of ongoing outbreaks.


Modelling of population flows in China enables the forecasting of the distribution of confirmed cases of COVID-19 and the identification of areas at high risk of SARS-CoV-2 transmission at an early stage.


  
Cellular locomotion using environmental topography 期刊论文
NATURE, 2020
作者:  Fernandez, Diego Carlos;  Komal, Ruchi;  Langel, Jennifer;  Ma, Jun;  Duy, Phan Q.;  Penzo, Mario A.;  Zhao, Haiqing;  Hattar, Samer
收藏  |  浏览/下载:17/0  |  提交时间:2020/07/03

Within three-dimensional environments, leukocytes can migrate even in the complete absence of adhesive forces using the topographical features of the substrate to propel themselves.


Eukaryotic cells migrate by coupling the intracellular force of the actin cytoskeleton to the environment. While force coupling is usually mediated by transmembrane adhesion receptors, especially those of the integrin family, amoeboid cells such as leukocytes can migrate extremely fast despite very low adhesive forces(1). Here we show that leukocytes cannot only migrate under low adhesion but can also transmit forces in the complete absence of transmembrane force coupling. When confined within three-dimensional environments, they use the topographical features of the substrate to propel themselves. Here the retrograde flow of the actin cytoskeleton follows the texture of the substrate, creating retrograde shear forces that are sufficient to drive the cell body forwards. Notably, adhesion-dependent and adhesion-independent migration are not mutually exclusive, but rather are variants of the same principle of coupling retrograde actin flow to the environment and thus can potentially operate interchangeably and simultaneously. As adhesion-free migration is independent of the chemical composition of the environment, it renders cells completely autonomous in their locomotive behaviour.


  
Carbon dioxide electroreduction to C-2 products over copper-cuprous oxide derived from electrosynthesized copper complex 期刊论文
NATURE COMMUNICATIONS, 2019, 10
作者:  Zhu, Qinggong;  Sun, Xiaofu;  Yang, Dexin;  Ma, Jun;  Kang, Xinchen;  Zheng, Lirong;  Zhang, Jing;  Wu, Zhonghua;  Han, Buxing
收藏  |  浏览/下载:13/0  |  提交时间:2019/11/27
Trends and controls of terrestrial gross primary productivity of China during 2000-2016 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (8)
作者:  Ma, Jun;  Xiao, Xiangming;  Miao, Renhui;  Li, Yao;  Chen, Bangqian;  Zhang, Yao;  Zhao, Bin
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/27
vegetation productivity  breakpoints  trends shift  ecological restoration projects  climate change and land cover change  
Structure of the maize photosystem I supercomplex with light-harvesting complexes I and II 期刊论文
SCIENCE, 2018, 360 (6393) : 1109-1112
作者:  Pan, Xiaowei;  Ma, Jun;  Su, Xiaodong;  Cao, Peng;  Chang, Wenrui;  Liu, Zhenfeng;  Zhang, Xinzheng;  Li, Mei
收藏  |  浏览/下载:5/0  |  提交时间:2019/11/27
Structure and assembly mechanism of plant C2S2M2-type PSII-LHCII supercomplex 期刊论文
SCIENCE, 2017, 357 (6353) : 816-+
作者:  Su, Xiaodong;  Ma, Jun;  Wei, Xuepeng;  Cao, Peng;  Zhu, Dongjie;  Chang, Wenrui;  Liu, Zhenfeng;  Zhang, Xinzheng;  Li, Mei
收藏  |  浏览/下载:7/0  |  提交时间:2019/11/27
Estimating aboveground biomass of broadleaf, needleleaf, and mixed forests in Northeastern China through analysis of 25-m ALOS/PALSAR mosaic data 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2017, 389
作者:  Ma, Jun;  Xiao, Xiangming;  Qin, Yuanwei;  Chen, Bangqian;  Hu, Yuanman;  Li, Xiangping;  Zhao, Bin
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
ALOS/PALSAR  Aboveground live biomass  Northeastern China  Nonlinear regression models  Boosted regression tree  Topographical and stand structure factors  
A stationary phase solution for mountain waves with application to mesospheric mountain waves generated by Auckland Island 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (2)
作者:  Broutman, Dave;  Eckermann, Stephen D.;  Knight, Harold;  Ma, Jun
收藏  |  浏览/下载:3/0  |  提交时间:2019/04/09