Results 61 to 70 of about 324,167 (285)

Prevalencia de la pérdida auditiva y factores correlacionados en una industria cementera Prevalence and correlates of hearing loss

Salud Pública de México, 2000
OBJETIVO: Documentar el impacto de la exposición laboral al ruido, así como sus relaciones con otros factores que pueden inducir pérdidas auditivas. MATERIAL Y MÉTODOS: Durante enero y febrero de 1997 se llevó a cabo un estudio transversal en una planta ...
Sendy Isarel Hernández-Gaytán, Carlos Santos-Burgoa, Jean Paul Becker-Meyer, Claudia Macías-Carrillo, Malaquías López-Cervantes   +4 more
doaj  

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Monocyte LOXHD1 and RHOB Expression Predictive of Progressive Systemic Sclerosis–Associated Interstitial Lung Disease

Arthritis Care &Research, EarlyView.
Objective A leading cause of death among patients with scleroderma (SSc), interstitial lung disease (ILD) remains challenging to prognosticate. The discovery of biomarkers that accurately determine which patients would benefit from close monitoring and aggressive therapy would be an essential clinical tool.
Cristina M. Padilla, Robert Lafyatis, Kevin F. Gibson, Christina Morse, Eleanor Valenzi, Xiaoping Chen, Xiaoyun Li, Yanwu Zhao, Yongseok Park, Dana Ascherman, Jonathan Minden, Robyn Domsic, Yingze Zhang, Daniel J. Kass   +13 more
wiley   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Quantifying risk of a noise-induced AMOC collapse from northern and tropical Atlantic Ocean variability

Environmental Research Communications
The Atlantic Meridional Overturning Circulation (AMOC) exerts a major influence on global climate. There is much debate about whether the current strong AMOC may collapse as a result of anthropogenic forcing and/or internal variability.
R R Chapman, P Ashwin, J Baker, R A Wood
doaj   +1 more source

Development of an artificial intelligence based occupational noise induced hearing loss early warning system for mine workers

Frontiers in Neuroscience
IntroductionOccupational Noise Induced Hearing Loss (ONIHL) is one of the most prevalent conditions among mine workers globally. This reality is due to mine workers being exposed to noise produced by heavy machinery, rock drilling, blasting, and so on ...
Milka C. I. Madahana, John E. D. Ekoru, Ben Sebothoma, Katijah Khoza-Shangase   +3 more
doaj   +1 more source

The Hearing Threshold of Employees Exposed to Noise Generated by the Low-Frequency Ultrasonic Welding Devices

Archives of Acoustics, 2017
The aim of the study was to assess the hearing threshold levels (HTLs) in employees exposed to noise generated by low-frequency ultrasonic technological equipment in comparison with the HTLs of workers exposed to audible noise at the similar A-weighted ...
Adam DUDAREWICZ, Kamil ZABOROWSKI, Paulina RUTKOWSKA-KACZMAREK, Małgorzata ZAMOJSKA-DANISZEWSKA, Mariola ŚLIWIŃSKA-KOWALSKA, Ewa ZAMYSŁOWSKA-SZMYTKE, Małgorzata PAWLACZYK-ŁUSZCZYŃSKA   +6 more
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Adaptable Tile‐Based Pneumatic Origami through Structurally Coupled Localized Actuation

Advanced Engineering Materials, EarlyView.
This article presents tile‐based pneumatic origami structures with rigid tiles and flexible fabric creases, achieving adaptable properties including morphing shape, selective multistability, and tunable stiffness. Independently pressurized folding bladders at each crease enable structurally coupled localized actuation of origami structures.
Tiantian Li, Jonathan Luntz, Diann Brei
wiley   +1 more source

Hearing Profile of Brazilian Forestry Workers' Noise Exposure

International Archives of Otorhinolaryngology, 2015
Introduction Researchers studying the hearing health of forestry workers have revealed the presence of a noise-induced hearing loss (NIHL) in this population and have concluded that the vibration of the equipment, the carbon monoxide released by motors ...
Adriana Lacerda, Juliana Quintiliano, Diolen Lobato, Claudia Gonçalves, Jair Marques   +4 more
doaj   +1 more source