Results 161 to 170 of about 61,548 (316)

Reduction of errors in vibratory gyroscopes by double modulation [PDF]

open access: yes, 1964
Reduction of errors in vibratory gyroscopes by double ...
Newton, G. C., Jr., Bush, R. W.
core  

A Cortical Stress Signature of Fear‐Induced Walking: Mobile Electroencephalography Theta Suppression in Older Women With Fear of Falling

open access: yesPsychogeriatrics, Volume 26, Issue 6, November 2026.
ABSTRACT Background Fear of falling is one of the most common and disabling stress responses of later life, yet how it is expressed in the brain during real walking is poorly understood. We examined whether walking under a naturalistic psychological threat, a fear‐of‐falling stressor, changes cortical oscillatory activity in older women, using mobile ...
Guilherme Augusto Santos Bueno   +3 more
wiley   +1 more source

Local Generation of Plasmaspheric Plume Hiss

open access: yesGeophysical Research Letters, Volume 53, Issue 20, 28 October 2026.
Abstract The statistical analysis of hiss waves observed in the plasmaspheric plume (Wu et al., 2026, https://doi.org/10.1029/2026gl121667) is significant for identifying nonlinear wave growth processes in the equatorial region. Because nonlinear growth rates greatly exceed linear growth rates, they enable the local generation of new wave packets in ...
Yoshiharu Omura
wiley   +1 more source

Topology optimization of 2D in-plane single mass MEMS gyroscopes

open access: yesStructural And Multidisciplinary Optimization, 2020
D. Giannini, F. Braghin, N. Aage
semanticscholar   +1 more source

The Evolution of Parallel Electric Field Across the Earth's Magnetosheath

open access: yesGeophysical Research Letters, Volume 53, Issue 19, 16 October 2026.
Abstract In Earth's collisionless magnetosheath, turbulence evolution and energy transformation across the system, especially at kinetic scales, remain poorly quantified without full‐coverage of high‐resolution observations. Using multi‐traversal observations from the 2023 and 2024 Magnetospheric Multiscale (MMS) Unbiased Magnetosheath Campaign, we ...
Y. Qi   +5 more
wiley   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

open access: yesEarthquake Engineering &Structural Dynamics, Volume 55, Issue 12, Page 3115-3136, 10 October 2026.
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen   +1 more
wiley   +1 more source

Wearable Technologies and Artificial Intelligence in Sports Medicine: A Systematic Narrative Review of Injury Prevention and Rehabilitation

open access: yesHealth Science Reports, Volume 9, Issue 10, October 2026.
ABSTRACT Background and Aims Wearable technologies and artificial intelligence (AI) are shifting sports medicine from episodic, subjective assessment toward continuous, data‐driven injury surveillance. This review aimed to map the main wearable sensor modalities used in injury prevention and rehabilitation, evaluate AI architectures applied to ...
Margarida Silva   +6 more
wiley   +1 more source

An Integrated Gradient Boosting Machine Approach With Fisher's Discriminant Analysis: Empirical Assessment on Five Benchmark Datasets and Simulations

open access: yesStatistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 5, October 2026.
ABSTRACT The aim of this study is to assess the impact of different dimensionality reduction techniques—specifically Principal Component Analysis (PCA) and Fisher's Linear Discriminant Analysis (LDA)—on the classification performance of Gradient Boosting Machines (GBM).
Giulio Enzo Donninelli   +1 more
wiley   +1 more source

A Novel Distributed Sensor Network to Assess Wind Turbine Blade Acoustics for Structural Health Monitoring

open access: yesWind Energy, Volume 29, Issue 10, October 2026.
ABSTRACT To reduce the need for scheduled wind turbine blade inspections and large‐scale repairs, a novel distributed acoustic sensing system for monitoring the structural health of wind turbine blades is proposed. This integral passive monitoring system utilizes a sparse array of in‐blade multimodal sensors and a single blade‐external downtower sensor,
Connor Pozzi   +5 more
wiley   +1 more source

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