Results 101 to 110 of about 8,462 (199)
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
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
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
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
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
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
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
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]
Wu K +7 more
europepmc +1 more source
Pump-Induced Biphasic Relaxation Model of Xe Spin in Nuclear Magnetic Resonance Gyroscopes. [PDF]
Jiang S, Wang T, Qiu X, Mao Y, Yuan H.
europepmc +1 more source

