This paper analyzes an 8-month time series (November 2005 to June 2006) of underwater noise recorded at the mouth of the Amundsen Gulf in the marginal ice zone of the western Canadian Arctic when the area was >90% ice covered. The time-series of the ambient noise component was computed using an algorithm that filtered out transient acoustic events from 7-min hourly recordings of total ocean noise over a [0-4.1] kHz frequency band. Under-ice ambient noise did not respond to thermal changes, but showed consistent correlations with large-scale regional ice drift, wind speed, and measured currents in upper water column. The correlation of ambient noise with ice drift peaked for locations at ranges of ~300 km off the mouth of the Amundsen Gulf. These locations are within the multi-year ice plume that extends westerly along the coast in the Eastern Beaufort Sea due to the large Beaufort Gyre circulation. These results reveal that ambient noise in Eastern Beaufort Sea in winter is mainly controlled by the same meteorological and oceanographic forcing processes that drive the ice drift and the large-scale circulation in this part of the Arctic Ocean.
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Microsyst 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 PDFAnnu Rev Public Health
December 2024
3Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA; email:
Estimation of the disease burden attributable to environmental factors is a powerful tool for prioritizing environmental and pollution management and public health actions around the world. The World Health Organization (WHO) has been estimating the environmental disease burden since 2000, which has formed the basis for the modern estimation approach conducted in the Global Burden of Disease, Injuries, and Risk Factor (GBD) study. In 2021, environmental and occupational risk factors in the GBD were responsible for 18.
View Article and Find Full Text PDFAnal Chem
December 2024
State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
Droplet-based digital PCR has emerged as a powerful platform for nucleic acid-based detection. However, the formation of droplet compartments and the subsequent amplification process in oil present significant drawbacks: instability under harsh thermal conditions, high background fluorescent noise inside droplets, and major difficulty in supporting multistep assays. Alternatively, droplets made of a hydrogel, or other advanced materials, have been adopted and demonstrate promising improvement over conventional droplet-based platforms.
View Article and Find Full Text PDFSensors (Basel)
November 2024
Institute of Control and Industrial Electronics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warsaw, Poland.
This paper deals with identifying the fractional-order noise parameters for MEMS gyroscopes under various temperature conditions. The significant contribution of the paper is to investigate the relation between the fractional noise model of MEMS devices and different ambient temperatures. In our paper, variance, correlation, and introduced estimation analysis methods have been meticulously applied to determine noise parameters with fractional-order dynamics.
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