Context: Noise pollution and its influence on environmental and quality of human life are a major concern and hot topic of scientific research in the twenty-first century.
Aims: Spatial analysis of noise pollution in urban Puducherry, South India.
Settings And Design: Cross-sectional study conducted in 36 locations of urban Puducherry.
Methods And Material: Noise measurements were taken using a calibrated NOR 132 digital sound level meter using the prescribed parameters set by the Central Pollution Control Board. Geo coordinates were taken using Garmin Oregon 550 GPS. Noise measurements were classified according to the Bureau of Indian Standards for town planning into five zones.
Statistical Analysis Used: Noise pollution map of urban Puducherry for three time points of the day was generated using ArcGIS Desktop v10.3 with Geo-statistical module and Inverse Distance method.
Results: Seventeen percent of the sites are high noise sources (80-90 dB), two thirds (65%) of the study sites fall into concentrated average noise zones (70-80 dB), and less than one fifth (18%) of the study sites are in relatively quiet zones across different measurement time slots.
Conclusions: Long-term strategy for noise control should be incorporated in the development of new townships and other infrastructures in accordance with the noise control norms. Implications for future research include monitoring noise pollution levels in rural areas and health effects of noise pollution in bystanders and drivers.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674066 | PMC |
http://dx.doi.org/10.4103/ijoem.ijoem_245_21 | DOI Listing |
Sci Rep
December 2024
Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan.
Cine-magnetic resonance imaging (MRI) has been used to track respiratory-induced motion of the liver and tumor and assist in the accurate delineation of tumor volume. Recent developments in compressed sensitivity encoding (SENSE; CS) have accelerated temporal resolution while maintaining contrast resolution. This study aimed to develop and assess hepatobiliary phase (HBP) cine-MRI scans using CS.
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December 2024
Department of Neurology, The Jikei University School of Medicine, 3-25-8 Nishi-Shimbashi, Minato-ku, Tokyo, 105-8461, Japan.
Visual hallucinations (VH) and pareidolia, a type of minor hallucination, share common underlying mechanisms. However, the similarities and differences in their brain regions remain poorly understood in Parkinson's disease (PD). A total of 104 drug-naïve PD patients underwent structural MRI and were assessed for pareidolia using the Noise Pareidolia Test (NPT) were enrolled.
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December 2024
School of Architecture and Urban-Rural Planning, Fuzhou University, Fuzhou, 350108, China.
Nighttime light data partially reflects the process of urban modernization and its reaction to urban scale, but its correlation with noise remains unclear, especially over a long-term time series, remains unclear. To address this gap, we examine 31 provincial capital cities and municipalities in China as the study area, utilizing noise monitoring data and nighttime light data to explore their relationship in urban areas from 2012 to 2021. The results show that: (1) During the study period, the regional environmental noise and night light index of 31 major cities exhibited a consistent upward trend, with the average equivalent sound level of environmental noise in most urban areas fluctuating between 50.
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December 2024
National University of Defense Technology, Changsha, Hunan, China.
In-band full-duplex communication has the potential to double the wireless channel capacity. However, how to efficiently transform the full-duplex gain at the physical layer into network throughput improvement is still a challenge, especially in dynamic communication environments. This paper presents a reinforcement learning-based full-duplex (RLFD) medium access control (MAC) protocol for wireless local-area networks (WLANs) with full-duplex access points.
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December 2024
Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA.
The Quantum Computing for Drug Discovery Challenge, held at the 42nd International Conference on Computer-Aided Design (ICCAD) in 2023, was a multi-month, research-intensive competition. Over 70 teams from more than 65 organizations from 12 different countries registered, focusing on the use of quantum computing for drug discovery. The challenge centered on designing algorithms to accurately estimate the ground state energy of molecules, specifically OH+, using quantum computing techniques.
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