Results 151 to 160 of about 6,626,967 (226)

Associations Between Health‐Related Physical Fitness and Accelerometry‐Based Energy Expenditure in Physiotherapy Workers

open access: yesPhysiotherapy Research International, Volume 31, Issue 4, October 2026.
ABSTRACT Background and Purpose Although it has been assumed that higher physical activity (PA) levels will contribute to better physical fitness (PF) performance, the interplay between these two has yet to be investigated. Moreover, the majority of studies have been presented in children and adolescents, and older adults, while little is known about ...
Marina Horvat Tišlar   +3 more
wiley   +1 more source

Ultrasonic Vibration Assisted Laser Processing: A Hybrid Paradigm for Extreme Surface Enhancement

open access: yesRare Metals, Volume 45, Issue 10, October 2026.
ABSTRACT Traditional laser processing techniques offer many advantages, but they often encounter limitations such as heat‐affected zones, recast layers, residual tensile stresses, and poor surface finish. The integration of ultrasonic vibration (UV) presents a promising hybrid approach to overcome these challenges by introducing beneficial effects like
Aziz Ul Hassan Mohsan   +6 more
wiley   +1 more source

A Zynq-Based Triaxial Vibration Sensing Station with GPS-Disciplined Timing. [PDF]

open access: yesSensors (Basel)
Zhang X   +6 more
europepmc   +1 more source

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open access: yes, 2000
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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

How Much Physics Should a Neural Network Know? Thermodynamics‐Informed Neural Networks for Rock Constitutive Modeling With Epistemic Uncertainty

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Machine learning offers a flexible route to constitutive modeling, with two emergent questions for geoscience applications: what level of thermodynamic constraint should be embedded in the network architecture, and how should predictive uncertainty be quantified when extrapolating from laboratory to field conditions? We address both challenges
Kangan Li   +3 more
wiley   +1 more source

Variation of Global Ionospheric Scintillation and Its Effect on GPS Kinematic PPP‐AR Performance During Geomagnetic Storms in Solar Cycle 25: A Statistical Analysis

open access: yesSpace Weather, Volume 24, Issue 10, October 2026.
Abstract Enhanced small‐scale ionospheric irregularities during geomagnetic storms can disturb Global Navigation Satellite System (GNSS) carrier‐phase tracking and are associated with reduced stability of ambiguity‐fixed precise point positioning (PPP‐AR), but their impact on kinematic positioning remains insufficiently quantified.
Dongsheng Zhao   +7 more
wiley   +1 more source

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