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

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How Exceptional Was the 2015–2019 Central American Drought? von 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 von 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 von 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 von 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 von 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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Eight-Year Outcomes of Bilateral Lateral Rectus Recessions versus Unilateral Recession-Resection in Childhood Basic-Type Intermittent Exotropia von Donahue, Sean P, Chandler, Danielle L, Wu, Rui, Marsh, Justin D, Law, Christine, Areaux, Jr, Raymond G, Ghasia, Fatema F, Li, Zhuokai, Kraker, Raymond T, Cotter, Susan A, Holmes, Jonathan M

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Plasma phosphorylated-tau181 as a predictive biomarker for Alzheimer’s amyloid, tau and FDG PET status von 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 von 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 von Bowers, Jeffrey S, Malhotra, Gaurav, Dujmovic, Marin, Montero, Milton Llera, Tsvetkov, Christian, Biscione, Valerio, Puebla, Guillermo, Adolfi, Federico, Hummel, John E, Heaton, Rachel F, Evans, Benjamin D, Mitchell, Jeffrey, Blything, Ryan, Anderson, Barton L, Storrs, Katherine R, Fleming, Roland W, Bever, Thomas G, Chomsky, Noam, Fong, Sandiway, Piattelli-Palmarini, Massimo, Chandran, Keerthi S, Paul, Amrita Mukherjee, Paul, Avijit, Ghosh, Kuntal, de Vries, Jelmer Philip, Flachot, Alban, Morimoto, Takuma, Gegenfurtner, Karl R, DiCarlo, James J, Yamins, Daniel L.K, Ferguson, Michael E, Fedorenko, Evelina, Bethge, Matthias, Bonnen, Tyler, Schrimpf, Martin, German, Joseph Scott, Jacobs, Robert A, Golan, Tal, Taylor, JohnMark, Schutt, Heiko, Peters, Benjamin, Sommers, Rowan P, Seeliger, Katja, Doerig, Adrien, Linton, Paul, Konkle, Talia, van Gerven, Marcel, Kording, Konrad, Richards, Blake, Kietzmann, Tim C, Lindsay, Grace W, Kriegeskorte, Nikolaus, Gur, Moshe, Hermann, Katherine, Nayebi, Aran, van Steenkiste, Sjoerd, Jones, Matt, Houghton, Conor, Kazanina, Nina, Sukumaran, Priyanka, Kellman, Philip J, Baker, Nicholas, Garrigan, Patrick, Phillips, Austin, Lu, Hongjing, Koculak, Marcin, Wierzchon, Michal, Li, Aedan Y, Mur, Marieke, Lin, Hause, Linsley, Drew, Serre, Thomas, Liu, Jianghao, Bartolomeo, Paolo, Love, Bradley C, Mok, Robert M, Moldoveanu, Mihnea, Op de Beeck, Hans, Bracci, Stefania, Rothkopf, Constantin, Bremmer, Frank, Fiehler, Katja, Dobs, Katharina, Triesch, Jochen, Slagter, Heleen A, Spratling, Michael W, Srivastava, Nisheeth, Sifar, Anjali, Srinivasan, Narayanan, Summerfield, Christopher, Thompson, Jessica A.F, Tarr, Michael J, Veit, Walter, Browning, Heather, Wichmann, Felix A, Kornblith, Simon, Geirhos, Robert, Xu, Yaoda, Vaziri-Pashkam, Maryam, Yovel, Galit

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

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