Unlabelled: Tooth wear is a complex multifactorial process that involves the loss of hard dental tissue. Parafunctional habits have been mentioned as a self-destructive process caused by stress, which results in hyperactivity of masticatory muscles. Stress manifests itself through teeth grinding, leading to progressive teeth wear. The effects of continuous exposure to industrial noise, a "stressor" agent, cannot be ignored and its effects on the teeth must be evaluated.
Aims: The aim of this study was to ascertain the effects of industrial noise on dental wear over time, by identifying and quantifying crown area loss.
Material And Methods: 39 Wistar rats were used. Thirty rats were divided in 3 experimental groups of 10 animals each. Animals were exposed to industrial noise, rich in LFN components, for 1, 4 and 7 months, with an average weekly exposure of 40 hours (8h/day, 5 days/week with the weekends in silence). The remaining 9 animals were kept in silence. The areas of the three main cusps of the molars were measured under light microscopy.
Statistical Analysis Used: A two-way ANOVA model was applied at significance level of 5%.
Results: The average area of the molar cusps was significantly different between exposed and non-exposed animals. The most remarkable differences occurred between month 1 and 4. The total crown loss from month 1 to month 7 was 17.3% in the control group, and 46.5% in the exposed group, and the differences between these variations were significant (p<0.001).
Conclusions: Our data suggest that industrial noise is an important factor in the pathogenesis of tooth wear.
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http://dx.doi.org/10.7150/ijms.11309 | DOI Listing |
Sci Rep
December 2024
New Technology Research Institute, BYD Auto Industry Co., Ltd., Shenzhen, 518118, China.
Effective road terrain recognition is crucial for enhancing the driving safety, passability, and comfort of autonomous vehicles. This study addresses the challenges of accurately identifying diverse road surfaces using deep learning in complex environments. We introduce a novel end-to-end Tire Noise Recognition Residual Network (TNResNet) integrated with a time-frequency attention module, designed to capture and leverage time-frequency information from tire noise signals for road terrain classification.
View Article and Find Full Text PDFBiosensors (Basel)
December 2024
Department of Biochemistry and Chemistry, La Trobe University, Bundoora, VIC 3086, Australia.
Surface-enhanced Raman scattering (SERS) is a powerful optical sensing platform that amplifies the target signals by Raman scattering. Despite SERS enabling a meager detection limit, even at the single-molecule level, SERS also tends to equally enhance unwanted molecules due to the non-specific binding of noise molecules in clinical samples, which complicates its use in complex samples such as bodily fluids, environmental water, or food matrices. To address this, we developed a novel non-fouling biomimetic SERS sensor by self-assembling an anti-adhesive, anti-fouling, and size-selective Lubricin (LUB) coating on gold nanoparticle (AuNP) functionalized glass slide surfaces via a simple drop-casting method.
View Article and Find Full Text PDFInt J Occup Saf Ergon
December 2024
École de technologie supérieure (ÉTS), Université du Québec, Canada.
This literature review investigates the application of wide dynamic range compression (WDRC) to enhance hearing protection and communication among workers in a noisy environment. Given the prevalence of noise-induced hearing loss, there is a major need to provide workers, with or at risk of hearing loss, with a solution that not only protects their hearing but also facilitates effective communication. WDRC, which amplifies softer sounds while limiting louder sounds, appears a promising approach.
View Article and Find Full Text PDFJ Biomed Mater Res A
January 2025
Department of Pediatrics, All India Institute of Medical Sciences Rishikesh, Rishikesh, India.
Long-term electrocardiogram (ECG) monitoring is crucial for detecting and diagnosing cardiovascular diseases (CVDs). Monitoring cardiac health and activities using efficient, noninvasive, and cost-effective techniques such as ECG can be vital for the early detection of different CVDs. Wet electrode-based traditional ECG techniques come with unavoidable limitations of the altered quality of ECG signals caused by gel volatilization and unwanted noise followed by dermatitis.
View Article and Find Full Text PDFPart Fibre Toxicol
December 2024
Health Effects Laboratory, Department of Environmental Chemistry and Health Effects, NILU, 2007, Kjeller, Norway.
Background: Hazard and risk assessment of nanomaterials (NMs) face challenges due to, among others, the numerous existing nanoforms, discordant data and conflicting results found in the literature, and specific challenges in the application of strategies such as grouping and read-across, emphasizing the need for New Approach Methodologies (NAMs) to support Next Generation Risk Assessment (NGRA). Here these challenges are addressed in a study that couples physico-chemical characterization with in vitro investigations and in silico similarity analyses for nine nanoforms, having different chemical composition, sizes, aggregation states and shapes. For cytotoxicity assessment, three methods (Alamar Blue, Colony Forming Efficiency, and Electric Cell-Substrate Impedance Sensing) are applied in a cross-validation approach to support NAMs implementation into NGRA.
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