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Automatic precursor recognition and real-time forecasting of sudden explosive volcanic eruptions at Whakaari, New Zealand 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Dempsey, D. E.;  Cronin, S. J.;  Mei, S.;  Kempa-Liehr, A. W.
收藏  |  浏览/下载：10/0  |  提交时间：2020/07/21
Characterizing soundscapes across diverse ecosystems using a universal acoustic feature set 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (29) : 17049-17055
作者:  Sethi, Sarab S.;  Jones, Nick S.;  Fulcher, Ben D.;  Picinali, Lorenzo;  Clink, Dena Jane;  Klinck, Holger;  Orme, C. David L.;  Wrege, Peter H.;  Ewers, Robert M.
收藏  |  浏览/下载：23/0  |  提交时间：2020/07/09
machine learning  acoustic  soundscape  monitoring  ecology  
Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Yuval, Janni;  39;Gorman, Paul A.
收藏  |  浏览/下载：4/0  |  提交时间：2020/07/06
Estimation of global coastal sea level extremes using neural networks 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (7)
作者:  Bruneau, Nicolas;  Polton, Jeff;  Williams, Joanne;  Holt, Jason
收藏  |  浏览/下载：8/0  |  提交时间：2020/08/18
sea water anomaly  extremes  storm surges  GESLA database  machine learning  
Machine learning based estimation of land productivity in the contiguous US using biophysical predictors 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (7)
作者:  Yang, Pan;  Zhao, Qiankun;  Cai, Ximing
收藏  |  浏览/下载：12/0  |  提交时间：2020/08/18
land productivity  marginal land  land use  machine learning  
Relationships Between Supermicrometer Sea Salt Aerosol and Marine Boundary Layer Conditions: Insights From Repeated Identical Flight Patterns 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (12)
作者:  Schlosser, Joseph S.;  Dadashazar, Hossein;  Edwards, Eva-Lou;  Hossein Mardi, Ali;  Prabhakar, Gouri;  Stahl, Connor;  Jonsson, Haflidi H.;  Sorooshian, Armin
收藏  |  浏览/下载：9/0  |  提交时间：2020/08/18
MONterey Aerosol Research Campaign (MONARC)  sea salt aerosol  EVS-3  wet scavenging  marine boundary layer  ACTIVATE  
Quantifying the drivers and predictability of seasonal changes in African fire 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Yu, Yan;  Mao, Jiafu;  Thornton, Peter E.;  Notaro, Michael;  Wullschleger, Stan D.;  Shi, Xiaoying;  Hoffman, Forrest M.;  Wang, Yaoping
收藏  |  浏览/下载：9/0  |  提交时间：2020/06/16
Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (6)
作者:  Kang, Yanghui;  Ozdogan, Mutlu;  Zhu, Xiaojin;  Ye, Zhiwei;  Hain, Christopher;  Anderson, Martha
收藏  |  浏览/下载：15/0  |  提交时间：2020/07/02
crop yields  climate impact  machine learning  deep learning  data-driven  
Nation-wide estimation of groundwater redox conditions and nitrate concentrations through machine learning 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (6)
作者:  Knoll, Lukas;  Breuer, Lutz;  Bach, Martin
收藏  |  浏览/下载：10/0  |  提交时间：2020/07/02
groundwater quality  nitrate pollution  redox conditions  random forest  uncertainty  large-scale  
Clonally expanded CD8 T cells patrol the cerebrospinal fluid in Alzheimer's disease 期刊论文
NATURE, 2020, 577 (7790) : 399-+
作者:  Gate, David;  Saligrama, Naresha;  Leventhal, Olivia;  Yang, Andrew C.;  Unger, Michael S.;  Middeldorp, Jinte;  Chen, Kelly;  Lehallier, Benoit;  Channappa, Divya;  De Los Santos, Mark B.;  McBride, Alisha;  Pluvinage, John;  Elahi, Fanny;  Tam, Grace Kyin-Ye;  Kim, Yongha;  Greicius, Michael;  Wagner, Anthony D.;  Aigner, Ludwig;  Galasko, Douglas R.;  Davis, Mark M.;  Wyss-Coray, Tony
收藏  |  浏览/下载：6/0  |  提交时间：2020/07/03

Alzheimer'  s disease is an incurable neurodegenerative disorder in which neuroinflammation has a critical function(1). However, little is known about the contribution of the adaptive immune response in Alzheimer'  s disease(2). Here, using integrated analyses of multiple cohorts, we identify peripheral and central adaptive immune changes in Alzheimer'  s disease. First, we performed mass cytometry of peripheral blood mononuclear cells and discovered an immune signature of Alzheimer'  s disease that consists of increased numbers of CD8(+) T effector memory CD45RA(+) (T-EMRA) cells. In a second cohort, we found that CD8(+) T-EMRA cells were negatively associated with cognition. Furthermore, single-cell RNA sequencing revealed that T cell receptor (TCR) signalling was enhanced in these cells. Notably, by using several strategies of single-cell TCR sequencing in a third cohort, we discovered clonally expanded CD8(+) T-EMRA cells in the cerebrospinal fluid of patients with Alzheimer'  s disease. Finally, we used machine learning, cloning and peptide screens to demonstrate the specificity of clonally expanded TCRs in the cerebrospinal fluid of patients with Alzheimer'  s disease to two separate Epstein-Barr virus antigens. These results reveal an adaptive immune response in the blood and cerebrospinal fluid in Alzheimer'  s disease and provide evidence of clonal, antigen-experienced T cells patrolling the intrathecal space of brains affected by age-related neurodegeneration.