Multiscale trends and precipitation extremes in the Central American Midsummer Drought by Anderson, Talia G, Anchukaitis, Kevin J, Pons, Diego, Taylor, Matthew

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How Exceptional Was the 2015–2019 Central American Drought? by Anderson, Talia G., McKinnon, Karen A., Pons, Diego, Anchukaitis, Kevin J.

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A Multiscale Productivity Assessment of High Andean Peatlands across the Chilean Altiplano Using 31 Years of Landsat Imagery by Chávez, Roberto O., Christie, Duncan A., Olea, Matías, Anderson, Talia G.

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Spatiotemporal Peatland Productivity and Climate Relationships Across the Western South American Altiplano by Anderson, Talia G., Christie, Duncan A., Chávez, Roberto O., Olea, Matias, Anchukaitis, Kevin J.

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Climate Sensitivity and Potential Vulnerability of Guatemalan Fir (Abies guatemalensis) Forests in Totonicapán, Guatemala by Anderson, Talia G., Griffin, Daniel, Anchukaitis, Kevin J., Anchukaiti, Kevin J., Pons, Diego, Taylor, Matthew J.

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Covid-19 Automated Diagnosis and Risk Assessment through Metabolomics and Machine Learning by Delafiori, Jeany, Navarro, Luiz Cláudio, Siciliano, Rinaldo Focaccia, de Melo, Gisely Cardoso, Busanello, Estela Natacha Brandt, Nicolau, José Carlos, Sales, Geovana Manzan, de Oliveira, Arthur Noin, Val, Fernando Fonseca Almeida, de Oliveira, Diogo Noin, Eguti, Adriana, dos Santos, Luiz Augusto, Dalçóquio, Talia Falcão, Bertolin, Adriadne Justi, Abreu-Netto, Rebeca Linhares, Salsoso, Rocio, Baía-da-Silva, Djane, Marcondes-Braga, Fabiana G, Sampaio, Vanderson Souza, Judice, Carla Cristina, Costa, Fabio Trindade Maranhão, Durán, Nelson, Perroud, Mauricio Wesley, Sabino, Ester Cerdeira, Lacerda, Marcus Vinicius Guimarães, Reis, Leonardo Oliveira, Fávaro, Wagner José, Monteiro, Wuelton Marcelo, Rocha, Anderson Rezende, Catharino, Rodrigo Ramos

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Plasma phosphorylated-tau181 as a predictive biomarker for Alzheimer’s amyloid, tau and FDG PET status by Shen, Xue-Ning, Huang, Yu-Yuan, Chen, Shi-Dong, Guo, Yu, Tan, Lan, Dong, Qiang, Yu, Jin-Tai

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Staging tau pathology with tau PET in Alzheimer’s disease: a longitudinal study by Chen, Shi-Dong, Lu, Jia-Ying, Li, Hong-Qi, Yang, Yu-Xiang, Jiang, Jie-Hui, Cui, Mei, Zuo, Chuan-Tao, Tan, Lan, Dong, Qiang, Yu, Jin-Tai

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Fixing the problems of deep neural networks will require better training data and learning algorithms by Linsley, Drew, Serre, Thomas

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Impact of the Season of Birth on the Development of Juvenile Idiopathic Arthritis in the United States: A Nationwide Registry-based Study by Dave, Ishaan, Estroff, Brandon, Gergely, Talia, Rostad, Christina A, Ponder, Lori A, McCracken, Courtney, Prahalad, Sampath

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