Results 131 to 140 of about 178,761,244 (246)

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

Earthquake 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, Christian Málaga‐Chuquitaype   +1 more
wiley   +1 more source

Gait Analysis Using Walking-Generated Acceleration Obtained from Two Sensors Attached to the Lower Legs

Sensors
Gait evaluation approaches using small, lightweight inertial sensors have recently been developed, offering improvements in terms of both portability and usability.
Ayuko Saito, Natsuki Sai, Kazutoshi Kurotaki, Akira Komatsu, Shinichiro Morichi, Satoru Kizawa   +5 more
doaj   +1 more source

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

Health 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, Saif Al‐jumaili, Mário Lopes, Carlos Albuquerque, António D. Reis, Paulo Jorge Coelho, Ivan Miguel Pires   +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

Statistical 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, Pietro Giorgio Lovaglio   +1 more
wiley   +1 more source

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

Wind 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, Calvin Ng, Sage Lyon, Yan Luo, Christopher Niezrecki, Murat Inalpolat   +5 more
wiley   +1 more source

Current Sheet Geometry and Heavy Ion Influence on Reconnection

Journal of Geophysical Research: Space Physics, Volume 131, Issue 10, October 2026.
Abstract In some planetary magnetospheres singly ionized heavy ion species can be found in addition to the typical hydrogen. The presence of these ions can affect many magnetospheric processes. The role heavy ions, specifically oxygen, and the thickness of the current sheet play in magnetic reconnection is investigated using particle‐in‐cell ...
Cristian R. Radulescu, Daniel Verscharen, Yuto Katoh, Yohei Kawazura, Seiji Zenitani, Andrew J. Coates, Yasumasa Kasaba   +6 more
wiley   +1 more source

Gross motor performance of infants with an at‐home wearable measurement and the Alberta Infant Motor Scale: A concurrent validity study

Developmental Medicine &Child Neurology, Volume 68, Issue 10, Page 1440-1449, October 2026.
This original article is commented by Murray on pages 1337–1338 of this issue. Abstract Aim To evaluate the concurrent validity of assessing infants' gross motor performance with an at‐home wearable measurement versus the Alberta Infant Motor Scale (AIMS). Method This observational study used a new multi‐sensor wearable Motor Assessment of Infants with
Manu Airaksinen, Taru Palsa, Arto Hautala, Marike Boonzaaijer, Leena M. Haataja, Sampsa Vanhatalo   +5 more
wiley   +1 more source

EFFECT OF VIBRATIONS ON THE DYNAMICS OF THE RING RESONATOR MICROMECHANICAL GYROSCOPE [PDF]

This article examines the dynamics of a micromechanical gyroscope with a ring resonator, used in navigation and motion control systems. The gyroscope’s sensitive element consists of a thin elastic ring resonator supported by an elastic suspension ...
Vu, The Trung Giap
core  

Spherical Video‐Based Virtual Reality for Nurses' Workplace Violence Management: A Convergent Mixed‐Methods Study

Journal of Advanced Nursing, Volume 82, Issue 10, Page 9344-9355, October 2026.
ABSTRACT Aim To evaluate the feasibility, effectiveness, and acceptability of a spherical video‐based virtual reality training programme aimed at helping nurses manage workplace violence. Design A convergent mixed‐methods study. Methods This study included nurses from a tertiary medical centre in Taiwan. The training programme involved four interactive
Yen‐Yin Lin, Ting‐Ti Lin, Yin‐Ling Hung, Hsin‐Pei Feng, Chun‐Yu Liang, Wen‐Chii Tzeng   +5 more
wiley   +1 more source

Chorus Wave‐Induced Ionospheric Variability

Geophysical Research Letters, Volume 53, Issue 18, 28 September 2026.
Abstract Electron microbursts are short‐lived but intense electron precipitation and constitute a significant source of electron losses into the ionosphere and lower atmosphere. They are primarily produced by wave‐particle interaction with chorus waves in the magnetosphere.
Lunjin Chen, Grant D. Berland, Robert A. Marshall, Jun Liang, Huayue Chen, Zhiyang Xia   +5 more
wiley   +1 more source