Results 61 to 70 of about 13,756 (198)

Placebo Effect in Levodopa‐Induced Dyskinesia: A Systematic Review and Meta‐Analysis

open access: yesMovement Disorders Clinical Practice, EarlyView.
Abstract Background Levodopa‐induced dyskinesia (LID) is a complication of Parkinson's disease (PD) treatment. While the placebo effect is a known component in PD clinical trials, its specific magnitude in the context of LID is not well characterized.
Luiz Vinicius Silva Correa   +5 more
wiley   +1 more source

Estimation of the Size of a Growing Crack Through Strain Sensing Under Uncertainty

open access: yesEngineering Proceedings
Fatigue cracks in highly stressed regions of marine structures, caused primarily due to wave loading, are critical life-limiting factors that can lead to structural failure. Structural Health Monitoring (SHM) systems offer the ability to remotely monitor
Anastasia Valma   +2 more
doaj   +1 more source

Unveiling New Perspectives on the Hirota–Maccari System With Multiplicative White Noise

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In this study, we delve into the stochastic Hirota–Maccari system, which is subjected to multiplicative noise according to the Itô sense. The stochastic Hirota–Maccari system is significant for its ability to accurately model how stochastic affects nonlinear wave propagation, providing valuable insights into complex systems like fluid dynamics
Mohamed E. M. Alngar   +3 more
wiley   +1 more source

Knowledge Discovery from Vibration Measurements

open access: yesThe Scientific World Journal, 2014
The framework as well as the particular algorithms of pattern recognition process is widely adopted in structural health monitoring (SHM). However, as a part of the overall process of knowledge discovery from data bases (KDD), the results of pattern ...
Jun Deng, Jian Li, Daoyao Wang
doaj   +1 more source

Embedding Fiber Segment Interferometry for Localization of Defects in Composite Structures

open access: yesPolymer Composites, EarlyView.
Graphical representation of composite structures with embedded fiber optic sensors for structural health monitoring, enabling strain measurement and damage localization under mechanical loading. ABSTRACT In the area of structural health monitoring (SHM), embedding strain sensors into smart composites is a key strategy for detecting failures arising ...
Shiva Mohammadkarimi   +3 more
wiley   +1 more source

Single-cell and repertoire profiling reveals immune remodelling in paediatric upper airway: insights from adenoid hypertrophy. [PDF]

open access: yesClin Transl Immunology
Single‐cell and paired V(D)J profiling show that paediatric adenoid hypertrophy features expanded proliferative germinal‐centre B cells with impaired maturation. Abstract Objectives To characterise the immune cellular landscape and paired B‐cell and T‐cell receptor repertoires of hypertrophic adenoids in children with obstructive sleep apnoea.
Wang C   +6 more
europepmc   +2 more sources

Correction to: Insaka: mobile phone support groups for adolescent pregnant women living with HIV

open access: yesBMC Pregnancy and Childbirth, 2021
Nikita Simpson   +16 more
doaj   +1 more source

A Review of Mechanical Reinforcement and Piezoresistive Self‐Sensing in Carbon Nanotube Fiber Composites

open access: yesPolymer Composites, EarlyView.
PSPP‐TRL mapping of CNT‐modified CFRP literature, with four recurring confusions resolved and five scale‐up problems quantified. ABSTRACT Carbon nanotube‐modified fiber composites are often presented as a route to stronger, tougher, and self‐sensing structural materials.
Sanan H. Khan
wiley   +1 more source

Damage Detection with Streamlined Structural Health Monitoring Data

open access: yesSensors, 2015
The huge amounts of sensor data generated by large scale sensor networks in on-line structural health monitoring (SHM) systems often overwhelms the systems’ capacity for data transmission and analysis.
Jian Li, Jun Deng, Weizhi Xie
doaj   +1 more source

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

open access: yesPolymer Composites, EarlyView.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci   +2 more
wiley   +1 more source

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