Although observations of microseisms excited by ocean swells were firmly established in the 1940s, the source locations remain difficult to track. Delineation of the source locations and energy partition of the seismic wave components are key to understanding the excitation mechanisms. Using a seismic array in Japan, we observed both P and S wave microseisms excited by a severe distant storm in the Atlantic Ocean. Although nonlinear forcing of an ocean swell with a one-dimensional Earth model can explain P waves and vertically polarized S waves (SV waves), it cannot explain horizontally polarized S waves (SH waves). The precise source locations may provide a new catalog for exploring Earth's interior.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1126/science.aaf7573 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Effects of Atmospheric Pollutants on Volatile-Mediated Insect Ecosystem Services.
Glob Chang Biol
January 2025
Department of Environmental and Biological Sciences, Faculty of Science, Forestry and Technology, University of Eastern Finland, Kuopio, Finland.
Primary and secondary atmospheric pollutants, including carbon monoxide (CO), carbon dioxide (CO), nitrogen oxides (NO), ozone (O), sulphur dioxide (SO) and particulate matter (PM/PM) with associated heavy metals (HMs) and micro- and nanoplastics (MPs/NPs), have the potential to influence and alter interspecific interactions involving insects that are responsible for providing essential ecosystem services (ESs). Given that insects rely on olfactory cues for vital processes such as locating mates, food sources and oviposition sites, volatile organic compounds (VOCs) are of paramount importance in interactions involving insects. While gaseous pollutants reduce the lifespan of individual compounds that act as olfactory cues, gaseous and particulate pollutants can alter their biosynthesis and emission and exert a direct effect on the olfactory system of insects.
View Article and Find Full Text PDFEstimating Recent US Limb Loss Prevalence and Updating Future Projections.
Arch Rehabil Res Clin Transl
December 2024
Department of Orthopaedic Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
Objective: To estimate limb loss prevalence in the United States (US) by etiology and anatomical position and the trends of limb loss over 40 years.
Design: We used the National Inpatient Sample, Healthcare Cost and Utilization Project to estimate current and future limb loss prevalence in the US and by anatomical location. Prevalence estimates were based on the incidence and duration of the disease.
The associations of long-term physical activity in adulthood with later biological ageing and all-cause mortality - a prospective twin study.
Eur J Epidemiol
January 2025
Gerontology Research Center (GEREC), Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Objectives: The association between leisure-time physical activity (LTPA) and a lower risk of mortality is susceptible to bias from multiple sources. We investigated the potential of biological ageing to mediate the association between long-term LTPA and mortality and whether the methods used to account for reverse causality affect the interpretation of this association.
Methods: Study participants were twins from the older Finnish Twin Cohort (n = 22,750; 18-50 years at baseline).
Healthy aging changes in conventional frequency bands of neuroelectric brain activity reconstructed from resting-state MEG.
Geroscience
January 2025
Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, Moscow, 125047, Russia.
Age-related dependencies of electric and spectral powers in conventional frequency bands were studied by the newly proposed method of detailed spectral analysis. The magnetic encephalograms (MEG) and magnetic resonance images (MRI) of the head were obtained from the open archive Cam-CAN. The spatial distributions of elementary spectral components (MEG-based functional tomograms) were reconstructed from MEG for 501 subjects (248 males and 253 females, ages 18-88 years, mean age 54.
View Article and Find Full Text PDFAn open source convolutional neural network to detect and localize distal radius fractures on plain radiographs.
Eur J Trauma Emerg Surg
January 2025
Trauma Research Unit, Department of Surgery, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, the Netherlands.
Purpose: Distal radius fractures (DRFs) are often initially assessed by junior doctors under time constraints, with limited supervision, risking significant consequences if missed. Convolutional Neural Networks (CNNs) can aid in diagnosing fractures. This study aims to internally and externally validate an open source algorithm for the detection and localization of DRFs.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!