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Controlling environmental noise pollution presents a significant challenge for current noise control efforts, mainly when the noise reduction target is mobile. Traditional systems are often inadequate due to their fixed and limited coverage range, which struggles to meet the demands of a dynamic environment. In response, the paper proposes an innovative method for spatial target tracking and noise control based on spherical omnidirectional loudspeaker arrays. The process begins by constructing a precise model of the spherical omnidirectional loudspeaker array that accurately reflects the spatial coverage characteristics of sound wave propagation. Then, the three-dimensional spatial model is simplified to establish a spatial latitude and longitude mapping model, enabling real-time perception and visual management of target positions. Subsequently, according to the target position, the center node of the loudspeaker is adaptively selected, and an online secondary path modeling algorithm with variable power auxiliary noise is adopted to construct a quiet zone in the target area. Simultaneously, the control system reduces noise in the target area. As the target moves slowly, the noise reduction area moves along with the target, thus enabling the system to have full-space coverage for noise reduction. Experimental results indicate that during slow target movement, this control system successfully achieves dynamic tracking and visual management of the target. When the noise frequency is between 300 Hz and 700 Hz, during the target's movement, due to the delay in the system's update of the filter coefficients, the noise reduction effect of the system is approximately 7.6dB. However, when the target remains stationary, the average noise reduction within the established quiet zone reaches 17.8 dB.
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http://dx.doi.org/10.1038/s41598-025-07976-6 | DOI Listing |
Patterns (N Y)
July 2025
Department of Methodology and Statistics, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, the Netherlands.
ASReview LAB v.2 introduces an advancement in AI-assisted systematic reviewing by enabling collaborative screening with multiple experts ("a crowd of oracles") using a shared AI model. The platform supports multiple AI agents within the same project, allowing users to switch between fast general-purpose models and domain-specific, semantic, or multilingual transformer models.
View Article and Find Full Text PDFJ Am Soc Mass Spectrom
September 2025
Department of Chemistry, University of Texas at Austin, Austin, Texas 78712, United States.
An ongoing goal of top-down mass spectrometry is to increase the performance for larger proteins. Using higher energy activation methods, like 193 nm ultraviolet photodissociation (UVPD), offers the potential to cause more extensive fragmentation of large proteins and thereby yield greater sequence coverage. Obtaining high sequence coverage requires confident identification and assignment of fragment ions, and this process is hampered by spectral congestion and low signal-to-noise ratio (S/N) of the fragment ions.
View Article and Find Full Text PDFJpn J Radiol
September 2025
Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221002, Jiangsu, China.
Background: Stroke, frequently associated with carotid artery disease, is evaluated using carotid computed tomography angiography (CTA). Dual-energy CTA (DE-CTA) enhances imaging quality but presents challenges in maintaining high image clarity with low-dose scans.
Objectives: To compare the image quality of 50 keV virtual monoenergetic images (VMI) generated using Deep Learning Image Reconstruction (DLIR) and Adaptive Statistical Iterative Reconstruction-V (ASIR-V) algorithms under a triple-low scanning protocol in carotid CTA.
J Sleep Res
September 2025
Department of Interdisciplinary Medicine, University of Bari "Aldo Moro", Bari, Italy.
Obstructive Sleep Apnea is a prevalent condition linked to various health issues, including cardiovascular disease and cognitive decline. This systematic review evaluates the comparative efficacy and patient adherence of two primary treatment modalities: Continuous Positive Airway Pressure and Mandibular Advancement Devices. This review incorporates studies from 2004 to 2024, applying Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and focusing on randomised controlled trials.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Pathology, Hospital Tuanku Fauziah, Jalan Tun Abdul Razak, Kangar, Perlis, Malaysia.
Cervical cancer remains a significant cause of female mortality worldwide, primarily due to abnormal cell growth in the cervix. This study proposes an automated classification method to enhance detection accuracy and efficiency, addressing contrast and noise issues in traditional diagnostic approaches. The impact of image enhancement on classification performance is evaluated by comparing transfer learning-based Convolutional Neural Network (CNN) models trained on both original and enhanced images.
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