Results 191 to 200 of about 33,850 (272)

Reconstruction of Two‐Dimensional Magnetohydrodynamic and Hall Magnetohydrodynamic Equilibria in Space Using Physics‐Informed Neural Networks

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract We present a novel data analysis technique based on physics‐informed neural networks (PINNs) to reconstruct two‐dimensional (2D) magnetohydrodynamic (MHD) and Hall MHD equilibria in a space plasma from in situ spacecraft measurements. Our method incorporates the steady‐state MHD or Hall MHD equations—a set of partial differential equations ...
Hiroshi Hasegawa   +3 more
wiley   +1 more source

Modeling Study on Energetic Particle Distribution in the Ionospheric South Atlantic Anomaly at Height of the Space Station

open access: yesSpace Weather, Volume 24, Issue 4, April 2026.
Abstract The South Atlantic Anomaly (SAA) in Earth's radiation belt is a critical region that poses significant threats to the safety of Space Stations. This region harbors a high concentration of energetic particles that can penetrate Space Stations, thereby affecting onboard components and posing risks to astronauts.
Xiang Dong   +5 more
wiley   +1 more source

Optimal configuration of on-scalp OPMs with fixed channel counts. [PDF]

open access: yesImaging Neurosci (Camb)
Schoffelen JM   +3 more
europepmc   +1 more source

Automated Detection of Equatorial Plasma Bubbles From the Magnetic Measurements of Macau Science Satellite‐1 Using Machine Learning

open access: yesSpace Weather, Volume 24, Issue 4, April 2026.
Abstract Equatorial plasma bubbles (EPBs) are plasma density depletion structures that produce magnetic field perturbations through the diamagnetic effect and therefore need to be identified and excluded in high‐precision geomagnetic field modeling. Traditional EPB detection methods typically rely on in situ electron density or total electron content ...
Xinyi Rang   +3 more
wiley   +1 more source

pyecoacc: A python package for supervised learning of behavioural modes from accelerometer data

open access: yesMethods in Ecology and Evolution, Volume 17, Issue 4, Page 1082-1089, April 2026.
Abstract Supervised learning of behavioural modes from body‐worn sensor data, especially accelerometers, has become a transformative research tool in behavioural ecology over the past years. Due to the popularity of the methodology and diverging needs of users, there are a number of software packages dedicated to it, ranging from web based graphical ...
Yehezkel S. Resheff   +3 more
wiley   +1 more source

Magnetoencephalography Source Connectivity Pipeline Reveals Long‐Range Connectivity in Audio‐Visual Integration

open access: yesEuropean Journal of Neuroscience, Volume 63, Issue 7, April 2026.
This study presents a pipeline for analysing source‐level brain connectivity in MEG data, focusing on audio‐visual integration in native Chinese speakers and a control group. Results indicate a crucial role of Delta band connectivity, with native speakers showing distinct pathways between prefrontal and occipital, and also interhemispheric brain areas,
Harald Bornfleth   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy