The Ocean Observatories Initiative (OOI) sensor network provides a unique opportunity to study ambient sound in the north-east Pacific Ocean. The OOI sensor network has five low frequency (Fs = 200 Hz) and six broadband (Fs = 64 kHz) hydrophones that have been recording ambient sound since 2015. In this paper, we analyze acoustic data from 2015 to 2020 to identify prominent features that are present in the OOI acoustic dataset. Notable features in the acoustic dataset that are highlighted in this paper include volcanic and seismic activity, rain and wind noise, marine mammal vocalizations, and anthropogenic sound, such as shipping noise. For all low frequency hydrophones and four of the six broadband hydrophones, we will present long-term spectrograms, median time-series trends for different spectral bands, and different statistical metrics about the acoustic environment. We find that 6-yr acoustic trends vary, depending on the location of the hydrophone and the spectral band that is observed. Over the course of six years, increases in spectral levels are seen in some locations and spectral bands, while decreases are seen in other locations and spectral bands. Last, we discuss future areas of research to which the OOI dataset lends itself.
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http://dx.doi.org/10.1121/10.0009836 | DOI Listing |
Sci Rep
January 2025
Department of Human Development and Family Sciences, The University of Texas at Austin, Austin, TX, 78712, USA.
Empathy plays a crucial role in promoting older adults' interpersonal experiences, but it remains unclear how these benefits of empathy occur. To address this gap, we examined associations between empathy and how older adults behave and express emotions during their daily interpersonal encounters. Participants included 268 adults aged 65+ (46% men, n = 124) from the Daily Experiences and Well-being Study.
View Article and Find Full Text PDFJ Dent
December 2024
Clinical Research, Dental-Material Gesellschaft mbH, Elbgaustraße 248, 22547, Hamburg, Germany; Department of Conservative Dentistry and Periodontology, LMU Klinikum, Goethestraße 70, 80336, Munich, Germany. Electronic address:
Objective: Success of resin infiltration for the masking of MIH-lesions remains difficult to predict, prompting suggestions to adjust the treatment protocol. This exploratory in vivo study aims to evaluate whether monitoring the resin infiltration process using transmitted light, compared to ambient light, enables a better estimation of when the infiltration process is completed, and to assess how the treatment success, i.e.
View Article and Find Full Text PDFMicrosyst Nanoeng
December 2024
ECE Department, University of Alberta, 9211-116 St. NW, Edmonton, T6G 1H9, AB, Canada.
Optomechanical sensors provide a platform for probing acoustic/vibrational properties at the micro-scale. Here, we used cavity optomechanical sensors to interrogate the acoustic environment of adjacent air bubbles in water. We report experimental observations of the volume acoustic modes of these bubbles, including both the fundamental Minnaert breathing mode and a family of higher-order modes extending into the megahertz frequency range.
View Article and Find Full Text PDFMicrosyst Nanoeng
December 2024
Department of Computer and Information Engineering, Khalifa University, Abu Dhabi, 12778, UAE.
The demand for sustainable energy sources to power small electronics like IoT devices has led to exploring innovative solutions like acoustic energy harvesting using piezoelectric nanogenerators (PENGs). Acoustic energy harvesting leverages ambient noise, converting it into electrical energy through the piezoelectric effect, where certain materials generate an electric charge in response to mechanical stress or vibrations. This review paper provides a comprehensive analysis of the advancements in PENG technology, emphasizing their role in acoustic energy harvesting.
View Article and Find Full Text PDFEar Hear
December 2024
Laboratorio de Audición Computacional y Piscoacústica, Instituto de Neurociencias de Castilla y León, Universidad de Salamanca, Salamanca, Spain.
Objectives: We compared sound quality and performance for a conventional cochlear-implant (CI) audio processing strategy based on short-time fast-Fourier transform (Crystalis) and an experimental strategy based on spectral feature extraction (SFE). In the latter, the more salient spectral features (acoustic events) were extracted and mapped into the CI stimulation electrodes. We hypothesized that (1) SFE would be superior to Crystalis because it can encode acoustic spectral features without the constraints imposed by the short-time fast-Fourier transform bin width, and (2) the potential benefit of SFE would be greater for CI users who have less neural cross-channel interactions.
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