scholarly journals ASSESSMENT OF NOISE EXPOSURE LEVEL OF SAWMILL WORKERS AT OGBOSISI AND MBIERI TIMBER AND ALLIED INDUSTRIAL MARKET IN OWERRI, IMO STATE

2019 ◽  
Vol 7 (11) ◽  
pp. 889-893
Author(s):  
Ebe T. E. ◽  
◽  
Njoku Tony R. F. ◽  
Emereibeole E. I. ◽  
Ihejirika C. E. ◽  
...  
Author(s):  
Feifan Chen ◽  
Zuwei Cao ◽  
Emad M. Grais ◽  
Fei Zhao

Abstract Purpose Noise-induced hearing loss (NIHL) is a global issue that impacts people’s life and health. The current review aims to clarify the contributions and limitations of applying machine learning (ML) to predict NIHL by analyzing the performance of different ML techniques and the procedure of model construction. Methods The authors searched PubMed, EMBASE and Scopus on November 26, 2020. Results Eight studies were recruited in the current review following defined inclusion and exclusion criteria. Sample size in the selected studies ranged between 150 and 10,567. The most popular models were artificial neural networks (n = 4), random forests (n = 3) and support vector machines (n = 3). Features mostly correlated with NIHL and used in the models were: age (n = 6), duration of noise exposure (n = 5) and noise exposure level (n = 4). Five included studies used either split-sample validation (n = 3) or ten-fold cross-validation (n = 2). Assessment of accuracy ranged in value from 75.3% to 99% with a low prediction error/root-mean-square error in 3 studies. Only 2 studies measured discrimination risk using the receiver operating characteristic (ROC) curve and/or the area under ROC curve. Conclusion In spite of high accuracy and low prediction error of machine learning models, some improvement can be expected from larger sample sizes, multiple algorithm use, completed reports of model construction and the sufficient evaluation of calibration and discrimination risk.


1992 ◽  
Vol 30 (2) ◽  
pp. 65-76 ◽  
Author(s):  
Seyed Mohammad MIRBOD ◽  
Ryoichi INABA ◽  
Hideyo YOSHIDA ◽  
Chisato NAGATA ◽  
Yoko KOMURA ◽  
...  

2020 ◽  
Vol 185 (9-10) ◽  
pp. e1551-e1555
Author(s):  
Sean E Slaven ◽  
Benjamin M Wheatley ◽  
Daniel L Christensen ◽  
Sameer K Saxena ◽  
Robert J McGill

Abstract Introduction Noise exposure is an occupational health concern for certain professions, especially military servicemembers and those using power tools on a regular basis. The purpose of this study was to quantify noise exposure during total hip arthroplasty (THA) and total knee arthroplasty (TKA) cases compared to the recommended standard for occupational noise exposure. Materials and Methods A sound level meter was used to record cumulative and peak noise exposure levels in 10 primary THA and 10 primary TKA surgeries, as well as 10 arthroscopy cases as controls. Measurements at the distance of the surgeon were taken in all cases. In TKA cases, measurements were taken at 3 feet and 8 feet from the surgeon, to simulate the position of the anesthetist and circulating nurse, respectively. Results Time-weighted average was significantly higher in THA (64.7 ± 5.2 dB) and TKA (64.5 ± 6.8 dB) as compared to arthroscopic cases (51.1 ± 7.5 dB, P < 0.001) and higher at the distance of the surgeon (64.5 ± 6.8 dB) compared to the anesthetist (52.9 ± 3.8 dB) and the circulating nurse (54.8 ± 11.2 dB, P = 0.006). However, time-weighted average was below the recommended exposure level of 85 dB for all arthroplasty cases. Peak levels did not differ significantly between surgery type or staff role, and no values above the ceiling limit of 140 dB were recorded. Surgeon’s daily noise dose percentage per case was 1.78% for THA and 2.04% for TKA. Conclusion Noise exposure in THA and TKA was higher than arthroscopic cases but did not exceed occupational standards. A daily dose percentage of approximately 2% per case indicates that repeated noise exposure likely does not reach hazardous levels in modern arthroplasty practice.


2020 ◽  
Vol 305 ◽  
pp. 00044
Author(s):  
Sorin Simion ◽  
Alexandru Simion ◽  
Izabella Kovacs ◽  
Vlad Lautaru

A general problem in the vicinity of industrial compressors is the noise generated in the working environment by their operation. A large number of workers suffer from hearing problems caused by exposure to high levels of noise in the workplace. Thus, legal provisions regulating occupational noise exposure aim to reduce the risk of hearing loss by reducing noise level, the most effective measures being those applied directly to the noise source combined with the use of hearing protection. Quantification of noise exposure level and mitigation of occupational hazards generated by it at each workplace is required in order to prevent accidents and occupational diseases. The current paper analyses how noise generated by industrial compressors influences worker’s activity. Prevention of noise exposure must be based on noise level measurements. In this sense, the purpose of the paper is to analyse noise measurements performed at a compressor hall and to compare the values obtained with limit values set by in force legislation, in order to apply the best technical organizational methods for lowering noise exposure and increasing acoustic comfort in order to improve working conditions of those working in the compressor hall.


2018 ◽  
Vol 25 (3) ◽  
pp. 458-466 ◽  
Author(s):  
Phayong Thepaksorn ◽  
Akio Koizumi ◽  
Kouji Harada ◽  
Wattasit Siriwong ◽  
Richard L Neitzel

2006 ◽  
Author(s):  
Rafael A. C. Laranja ◽  
Luiz C. Gertz ◽  
Charles Rech ◽  
Alexandre Balbinot ◽  
Rosa Leamar Dias Blanco ◽  
...  

1977 ◽  
Vol 86 (6) ◽  
pp. 821-826 ◽  
Author(s):  
William Melnick

Nine men were exposed to 24 hours of continuous noise in a sound field. The noise was an octave band centered at 4 kHz at levels 80 and 85 dB. Hearing thresholds were measured monaurally at 11 test frequencies ranging from 250 to 10000 Hz before, during, and after exposure. Temporary threshold shift (TTS) reached maximum levels at 8 to 12 hours of exposure. Maximum TTS occurred at 4 and 6 kHz. Mean asymptomtic threshold shifts (ATS) resulting from the 80 dB exposure level were 9.3 dB for 4 kHz and 7.2 dB for 6 kHz. For the 85 dB noise level, these threshold shifts were 17.8 dB and 14.6 dB respectively. The increase in ATS with increase of noise level for these two frequencies could be fitted with a straight line having a slope of 1.6.


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