Results 101 to 110 of about 8,462 (199)

Gate tunable MoS2 memristive neuron for early fusion of visual and acoustic signals spiking neural network

open access: yesInfoMat, Volume 8, Issue 4, April 2026.
Current brain‐inspired computing chips require complex additional circuits to operate effectively, making them bulky and inefficient. We have created a single adjustable artificial neuron device made from MoS2 that can dynamically modulate its behavior on demand, eliminating the need for extra circuits and enabling it to process different types of ...
Yanming Liu   +10 more
wiley   +1 more source

Deep learning of wrist accelerometry from UK Biobank data identifies early movement signatures of knee osteoarthritis up to 5 years before diagnosis

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, Volume 34, Issue 4, Page 1524-1533, April 2026.
Abstract Purpose This study aims to test whether week‐long wrist accelerometry combined with deep learning can (i) distinguish healthy individuals from people with knee osteoarthritis (KOA), (ii) separate prodromal KOA from established KOA, and (iii) identify individuals who will receive a KOA diagnosis within 5 years.
Ricardo Smits Serena   +6 more
wiley   +1 more source

Evaluating Seismic Ambient Noise Techniques for Imaging Lava Tubes on the Moon

open access: yesJournal of Geophysical Research: Planets, Volume 131, Issue 4, April 2026.
Abstract Detecting and characterizing lava tubes is a key objective of upcoming lunar missions. While evidence for their presence exists, their precise dimensions and depths remain uncertain. This study evaluates the potential of seismic ambient noise methods, such as seismic interferometry, H/V spectral ratios, distributed acoustic sensing (DAS), and ...
Sabrina Keil   +4 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

Integrating Eye Tracking and Inertial Sensing for Enhanced Freezing of Gait Detection in Parkinson's Disease

open access: yesEuropean Journal of Neuroscience, Volume 63, Issue 7, April 2026.
Wearable systems using inertial sensors can misclassify voluntary standing as freezing of gait (right). Adding eye‐gaze kinematics to a deep learning model reduces this error (left): standing misclassified as freezing decreases from 59.1% to 13.6%, standing recall more than doubles from 36.4% to 81.8%, and macro‐averaged F1 improves significantly from ...
Christopher L. Pulliam   +2 more
wiley   +1 more source

Mirror Mode Mediated EMIC Wave Generation in the Magnetosheath

open access: yesGeophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract Electromagnetic ion cyclotron (EMIC) waves and mirror modes (MMs), both driven by ion temperature anisotropy, are commonly observed in planetary magnetosheaths. Conventional explanations for their co‐occurrence are largely based on linear instability theory in proton–electron plasmas, which requires comparable growth rates for the EMIC and MM ...
Yifan Wu   +5 more
wiley   +1 more source

Modeling the EMIC Wave‐Induced Acceleration of Energetic Protons in the Io Footprint Tail

open access: yesGeophysical Research Letters, Volume 53, Issue 5, 16 March 2026.
Abstract The Io footprint tail (FPT) region is crucial for studying the interactions between Io and Jupiter's magnetosphere. In this region, Juno spacecraft observed significant acceleration of energetic protons, concurrently with electromagnetic ion cyclotron (EMIC) waves below the proton gyro‐frequency.
Peng Lu   +6 more
wiley   +1 more source

Dual Variational Problems and Action Principles for Chen–Lee and Hopf–Langford Systems

open access: yesMathematical Methods in the Applied Sciences, Volume 49, Issue 4, Page 2456-2462, 15 March 2026.
ABSTRACT We describe the construction of dual variational principles and action functionals for nonlinear dynamical systems using a methodology based on the dual Lagrange multiplier formalism and a convex optimization approach, to derive families of dual actions that correspond to the given nonlinear ordinary differential system.
A. Ghose‐Choudhury, Partha Guha
wiley   +1 more source

Localized thermal tuning in fused silica inductive vibrating ring gyroscopes. [PDF]

open access: yesMicrosyst Nanoeng
Wu K   +7 more
europepmc   +1 more source

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