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This study presents a comprehensive evaluation and selection framework for extremely low-frequency electromagnetic field (ELF-EMF) measurement instruments. Recognizing the diversity of application environments and technical constraints, the framework addresses the challenges of selecting appropriate tools for specific scenarios. It integrates a structured, quantitative approach through a weighted scoring matrix that evaluates instrumentation across six criteria: monitoring duration, sensitivity, environmental adaptability, biological/regulatory relevance, usability, and cost. Complementing this is a logic-based flowchart that visually guides decision-making based on user-defined operational needs. The framework is applied to a realistic occupational case study, demonstrating its effectiveness in producing evidence-based, scenario-sensitive instrument recommendations. This method provides stakeholders with a transparent and adaptable tool for ELF-EMF device selection.
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http://dx.doi.org/10.3390/s25154866 | DOI Listing |
Environ Res
September 2025
Department of Occupational Health Engineering, Tehran University of Medical Sciences, Tehran, Iran. Electronic address:
Animal studies indicating an association of exposure to extremely low frequency electromagnetic fields (ELF-EMFs) and noise with reproductive dysfunctions. Nonetheless, the potential impacts of exposure to these hazardous agents on the human prostate gland remain unidentified. To assess the relationship between co-exposure to ELF-EMF and noise and the levels of prostate-specific antigen (PSA), a longitudinal study was conducted over eight years among workers at a thermal power station from 2016 to 2024.
View Article and Find Full Text PDFJ Acoust Soc Am
September 2025
School of Ocean Engineering and Technology, Sun Yat-sen University, Zhuhai 519000, China.
This study establishes a quantitative framework using field observations and normal mode theory to reveal wind field control mechanisms over ambient noise vertical directionality in shallow water. Acoustic data from a vertical line array in the northern South China Sea, combined with sound speed profiles, seabed properties, and multi-source wind fields (ERA5 reanalysis/Weibull-distributed synthetics), demonstrate: (1) A 20-km spatial noise-energy threshold (>90% energy contribution), challenging conventional near-field assumptions (1-2 km); (2) frequency-dependent distribution: low-frequency (50-200 Hz) directionality depends on near-field sources, while high-frequency (>400 Hz) energy shifts seaward due to modal cutoff variations; (3) model validation shows 0.96 correlation at 100 Hz/100 km (stratified medium accuracy), but seabed interface waves induce 3.
View Article and Find Full Text PDFBackground: Sphericity is a measurement of how closely an object approximates a globe. The sphericity of the blood pool of the left ventricle (LV), is an emerging measure linked to myocardial dysfunction.
Methods: Video-based deep learning models were trained for semantic segmentation (pixel labeling) in cardiac magnetic resonance imaging in 84,327 UK Biobank participants.
Radiat Prot Dosimetry
September 2025
Tissue Engineering and Biomicrofluidics Laboratory, School of Biomedical Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi 221005, India.
In recent years, academia has sought the therapeutic applicability of periodic low-intensity electromagnetic field exposure (< 1 h/d) for biomedical applications. We have designed and developed a monoaxial Helmholtz coil chamber for non-invasive magnetic field exposure for therapeutic application, i.e.
View Article and Find Full Text PDFFront Genet
August 2025
Center for Medical Genetics and Genomics, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Background: Hemoglobinopathies are a group of autosomal recessive disorders characterized by a high degree of clinical and genetic heterogeneity. Comprehensive genetic screening for hemoglobin variants is crucial for prevention and treatment of these conditions. Single-molecule real-time (SMRT) sequencing enables efficient and reliable analysis of common and complex or rare hemoglobin variants.
View Article and Find Full Text PDF