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Environmental noise from sources such as traffic, airports, and oil and gas (O&G) operations is associated with nuisance and health concerns. Smartphones with external microphones have been recommended for environmental noise monitoring and may be useful tools for citizen science, but are not validated against reference methods. We evaluated laboratory performance of three smartphone/application (app) configurations recommended for environmental noise measurement. Two smartphone/app configurations were also compared to a reference sampler, a type 1 sound level meter (SLM) at ten outdoor sites with traffic, airport, and O&G noise. To evaluate performance, we compared the mean squared error, variance, bias, and Krippendorff's Alpha by smartphone/app combination and testing location for both audible (A-weighted) and low-frequency (C-weighted) noise. We observed that laboratory measurements were in strong agreement with a reference sampler. The field A-weighted noise level results had strong agreement with the SLM at several outdoor sites, but our C-weighted noise results ranged from moderate to substantial agreement. For our tested configurations, we find that smartphones with external microphones are reliable proxies for measuring A- and C-weighted noise in a laboratory setting. Outdoor performance depends on noise source type, weighting, and precision and accuracy needs of the investigation.
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http://dx.doi.org/10.1038/s41370-018-0077-2 | DOI Listing |
Workplace Health Saf
September 2025
Care Delivery Research, Allina Health.
Background: Effective communication and collaboration among clinical and nonclinical staff are critical to the health and safety of the staff, for optimal team performance and for safe patient care. While respiratory protective equipment are routine key strategies to protect healthcare workers from exposure to select respiratory pathogens, they have been demonstrated to disrupt speech intelligibility. The COVID-19 pandemic escalated the need for and utilization of respiratory protection in all healthcare settings.
View Article and Find Full Text PDFAdv Mater
September 2025
Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea.
Wearable bioelectronics have advanced dramatically over the past decade, yet remain constrained by their superficial placement on the skin, which renders them vulnerable to environmental fluctuations and mechanical instability. Existing microneedle (MN) electrodes offer minimally invasive access to dermal tissue, but their rigid, bulky design-often 100 times larger and 10,000 times stiffer than dermal fibroblasts-induces pain, tissue damage, and chronic inflammation, limiting their long-term applicability. Here, a cell-stress-free percutaneous bioelectrode is presented, comprising an ultrathin (<2 µm), soft MN (sMN) that dynamically softens via an effervescent structural transformation after insertion.
View Article and Find Full Text PDFAdv Healthc Mater
September 2025
Krembil Research Institute, Toronto Western Hospital, University Health Network, Toronto, ON, M5T 0S8, Canada.
Accurate brain signal recording and precise electrode placement are critical for the success of neuromodulation therapies such as deep brain stimulation (DBS). Addressing these challenges requires deep brain electrodes that provide high-quality, stable recordings while remaining compatible with high-resolution medical imaging modalities like magnetic resonance imaging (MRI). Moreover, such electrodes shall be cost-effective, easy to manufacture, and patient-compatible.
View Article and Find Full Text PDFEnviron Res
September 2025
Department of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan. Electronic address:
Limited research has examined the relationships of co-exposure to air pollutants, temperature, and road traffic noise with chronic kidney disease (CKD) incidence and the interaction between PM and temperature. To address this gap, the present study explored these associations and interactions in Taiwan. A cohort of 3,041 older individuals (aged ≥55 years) was recruited in 2009 and followed until 2019.
View Article and Find Full Text PDFAnal Chem
September 2025
State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong SAR 999077, China.
Mass spectrometry imaging (MSI) is a label-free technique that enables the visualization of the spatial distribution of thousands of ions within biosamples. Data denoising is the computational strategy aimed at enhancing the MSI data quality, providing an effective alternative to experimental methods. However, due to the complex noise pattern inherent in MSI data and the difficulty in obtaining ground truth from noise-free data, achieving reliable denoised images remains challenging.
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