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

Posted by dbos MIT

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 […]


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

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

Posted by klaurent UCSF

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

Posted by klaurent Peking

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 […]


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