Resting-State Electroencephalography for Continuous, Passive Prediction of Coma Recovery After Acute Brain Injury

Kavli Affiliate: Michael Young | Authors: Morteza Zabihi, Daniel B. Rubin, Sophie E. Ack, Emily J. Gilmore, Valdery Moura Junior, Sahar F. Zafar, Quanzheng Li, Michael J. Young, Brian L. Edlow, Yelena G. Bodien and Eric S. Rosenthal | Summary: Abstract Accurately predicting emergence from disorders of consciousness (DoC) after acute brain injury can profoundly […]


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A Quarter Century of Guitar Nebula/Filament Evolution

Kavli Affiliate: Roger W. Romani | First 5 Authors: Martijn de Vries, Roger W. Romani, Oleg Kargaltsev, George Pavlov, Bettina Posselt | Summary: We have collected a new deep {it Chandra X-ray Observatory} ({it CXO}) exposure of PSR B2224+65 and the `Guitar Nebula’, mapping the complex X-ray structure. This is accompanied by a new {it […]


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Stacked binding of a small molecule PET tracer to Alzheimer’s tau paired helical filaments

Kavli Affiliate: Stanley Prusiner | Authors: Gregory E. Merz, Matthew J. Chalkley, Sophia Tan, Eric Tse, Joanne Lee, Stanley B. Prusiner, Nick A. Paras, William F. DeGrado and Daniel R. Southworth | Summary: Abstract Neurodegenerative diseases (NDs) are characterized by the formation of amyloid filaments that adopt disease-specific conformations in the brain. Recently developed small […]


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A Roadmap For Scientific Ballooning 2020-2030

Kavli Affiliate: Abigail Vieregg | First 5 Authors: Peter Gorham, James Anderson, Pietro Bernasconi, Supriya Chakrabarti, T. Gregory Guzik | Summary: From 2018 to 2020, the Scientific Balloon Roadmap Program Analysis Group (Balloon Roadmap PAG) served as an community-based, interdisciplinary forum for soliciting and coordinating community analysis and input in support of the NASA Scientific […]


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OGLE-BLG504.12.201843: A possible extreme dwarf nova

Kavli Affiliate: Subo Dong | First 5 Authors: Camille Landri, Ondřej Pejcha, Michał Pawlak, Andrzej Udalski, Jose L. Prieto | Summary: We present the analysis of existing optical photometry and new optical spectroscopy of the candidate cataclysmic variable star OGLE-BLG504.12.201843. As was shown previously, this object has an orbital period of 0.523419 days and exhibits […]


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Omnigrok: Grokking Beyond Algorithmic Data

Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Eric J. Michaud, Max Tegmark, , | Summary: Grokking, the unusual phenomenon for algorithmic datasets where generalization happens long after overfitting the training data, has remained elusive. We aim to understand grokking by analyzing the loss landscapes of neural networks, identifying the mismatch between training […]


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Gas Morphology of Milky Way-like Galaxies in the TNG50 Simulation: Signals of Twisting and Stretching

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Thomas K. Waters, Colton Peterson, Razieh Emami, Xuejian Shen, Lars Hernquist | Summary: We present an in-depth analysis of gas morphologies for a sample of 25 Milky Way-like galaxies from the IllustrisTNG TNG50 simulation. We constrain the morphology of cold, warm, hot gas, and gas particles as […]


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Transient, developmental exposure to patient-derived anti-NMDA receptor autoantibodies causes long-term axonal and behavioral defects

Kavli Affiliate: Samuel Pleasure | Authors: Jing Zhou, Ariele Greenfield, Rita Loudermilk, Christopher Bartley, Baouyen Tran, Chao Zhao, Hong Wang, Michael Wilson and Samuel Pleasure | Summary: Abstract NMDA receptor autoimmune encephalitis (NMDAR-AE) is characterized by cerebrospinal fluid (CSF)-resident anti-NMDA receptor autoantibodies that cause behavioral and neurologic deficits. Although many symptoms are responsive to immunotherapy, […]


Continue.. Transient, developmental exposure to patient-derived anti-NMDA receptor autoantibodies causes long-term axonal and behavioral defects

Uncertainty estimations methods for a deep learning model to aid in clinical decision-making — a clinician’s perspective

Kavli Affiliate: Jing Wang | First 5 Authors: Michael Dohopolski, Kai Wang, Biling Wang, Ti Bai, Dan Nguyen | Summary: Prediction uncertainty estimation has clinical significance as it can potentially quantify prediction reliability. Clinicians may trust ‘blackbox’ models more if robust reliability information is available, which may lead to more models being adopted into clinical […]


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