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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  
Spatio-temporal variation of reference evapotranspiration in northwest China based on CORDEX-EA 期刊论文
ATMOSPHERIC RESEARCH, 2020, 238
作者:  Yang, Linshan;  Feng, Qi;  Adamowski, Jan F.;  Yin, Zhenliang;  Wen, Xiaohu;  Wu, Min;  Jia, Bing;  Hao, Qiang
收藏  |  浏览/下载：13/0  |  提交时间：2020/08/18
CORDEX-EA  Reference evapotranspiration  Machine learning algorithm  Northwest China  
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  
Dynamic spatial-temporal precipitation distribution models for short-duration rainstorms in Shenzhen, China based on machine learning 期刊论文
ATMOSPHERIC RESEARCH, 2020, 237
作者:  Liu, Yuan-Yuan;  Li, Lei;  Liu, Ye-Sen;  Chan, Pak Wai;  Zhang, Wen-Hai
收藏  |  浏览/下载：9/0  |  提交时间：2020/07/02
Short-duration rainstorm  Machine learning  Locally linear embedding method  Dynamic spatial-temporal distribution  Shenzhen  
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  
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.


  
Potential for Early Forecast of Moroccan Wheat Yields Based on Climatic Drivers 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (12)
作者:  Lehmann, J.;  Kretschmer, M.;  Schauberger, B.;  Wechsung, F.
收藏  |  浏览/下载：15/0  |  提交时间：2020/05/20
causal discovery algorithms  teleconnections  seasonal forecast  machine learning  wheat forecast  climate precursors  
Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport 期刊论文
ATMOSPHERIC RESEARCH, 2020, 236
作者:  Guijo-Rubio, D.;  Casanova-Mateo, C.;  Sanz-Justo, J.;  Gutierrez, P. A.;  Cornejo-Bueno, S.;  Hervas, C.;  Salcedo-Sanz, S.
收藏  |  浏览/下载：7/0  |  提交时间：2020/07/02
Convective clouds  Convective analysis  Airports  Machine learning techniques  Ordinal regression  
Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms 期刊论文
ATMOSPHERIC RESEARCH, 2020, 236
作者:  Ahmed, Kamal;  Sachindra, D. A.;  Shahid, Shamsuddin;  Iqbal, Zafar;  Nawaz, Nadeem;  Khan, Najeebullah
收藏  |  浏览/下载：16/0  |  提交时间：2020/07/02
General circulation models  Multi-model ensemble  Taylor skill score  Machine learning algorithms  Temperature and precipitation  Pakistan