Effects of combined traffic noise on the synaptic ultrastructure and expressions of p-CaMKII and NMDAR1 in the hippocampus of young SD rats

2019 ◽  
Vol 26 (21) ◽  
pp. 22030-22039
Author(s):  
Guoqing Di ◽  
Guangxiang Liu ◽  
Yaqian Xu ◽  
Hakbong Kim
Keyword(s):  
Traffic Noise ◽  
Sd Rats ◽  
Synaptic Ultrastructure ◽  
Combined Traffic Noise

Combined traffic noise exposure from different sources: is the whole more than the sum of its parts?

2017 ◽  
Author(s):  
A Seidler ◽  
J Hegewald ◽  
AL Seidler ◽  
M Schubert ◽  
H Zeeb
Keyword(s):  
Noise Exposure ◽  
Traffic Noise ◽  
Different Sources ◽  
Combined Traffic Noise

Combined Traffic Noise Exposure from Different Sources: Is the Whole More than the Sum of its Parts?

2018 ◽  
Vol 2017 (1) ◽  
pp. 263
Author(s):  
Andreas Seidler ◽  
Janice Hegewald ◽  
Anna Lene Seidler ◽  
Melanie Schubert ◽  
Hajo Zeeb
Keyword(s):  
Noise Exposure ◽  
Traffic Noise ◽  
Different Sources ◽  
Combined Traffic Noise

scholarly journals Annoyance, Sleep and Concentration Problems due to Combined Traffic Noise and the Benefit of Quiet Side

2015 ◽  
Vol 12 (2) ◽  
pp. 1612-1628 ◽  
Author(s):  
Theo Bodin ◽  
Jonas Björk ◽  
Jonas Ardö ◽  
Maria Albin
Keyword(s):  
Traffic Noise ◽  
Combined Traffic Noise

Influences of combined traffic noise on anxiety in mice

2017 ◽  
Vol 579 ◽  
pp. 1439-1445 ◽  
Author(s):  
Guoqing Di ◽  
Yaqian Xu
Keyword(s):  
Traffic Noise ◽  
Combined Traffic Noise

scholarly journals Is the Whole More Than the Sum of Its Parts? Health Effects of Different Types of Traffic Noise Combined

2019 ◽  
Vol 16 (9) ◽  
pp. 1665 ◽  
Author(s):  
Andreas Seidler ◽  
Janice Hegewald ◽  
Anna Lene Seidler ◽  
Melanie Schubert ◽  
Hajo Zeeb
Keyword(s):  
Health Risks ◽  
Disease Risk ◽  
Traffic Noise ◽  
Noise Levels ◽  
Protection Measures ◽  
Railway Traffic ◽  
Increased Risk ◽  
Different Types ◽  
Disease Risks ◽  
Combined Traffic Noise

Many epidemiological studies find that people exposed to aircraft, road or railway traffic noise are at increased risk of illness, including cardiovascular disease (CVD) and depression. It is unclear how the combined exposure to these different types of traffic noise affects disease risks. This study addresses this question with a large secondary data-based case-control study (“NORAH disease risk study”). The Akaike information criterion (AIC) is used to compare two different models estimating the disease risks of combined traffic noise. In comparison with the conventional energetic addition of noise levels, the multiplication of CVD risks as well as depression risks reveals a considerably better model fit as expressed by much lower AIC values. This is also the case when risk differences between different types of traffic noise are taken into account by applying supplements or reductions to the single traffic noise pressure levels in order to identify the best fitting energetic addition model. As a consequence, the conventionally performed energetic addition of noise levels might considerably underestimate the health risks of combined traffic noise. Based on the NORAH disease risk study, “epidemiological risk multiplication” seems to provide a better estimate of the health risks of combined traffic noise exposures compared to energetic addition. If confirmed in further studies, these results should imply consequences for noise protection measures as well as for traffic planning.

The relationship between urban combined traffic noise and annoyance: An investigation in Dalian, north of China

2012 ◽  
Vol 432 ◽  
pp. 189-194 ◽  
Author(s):  
Guoqing Di ◽  
Xiaoyi Liu ◽  
Qili Lin ◽  
Yue Zheng ◽  
Lingjiao He
Keyword(s):  
Traffic Noise ◽  
The Relationship ◽  
Combined Traffic Noise

Pengaruh bising lalu lintas terhadap penurunan fungsi pendengaran pada juru parkir di kota Denpasar

2013 ◽  
Vol 40 (2) ◽  
Author(s):  
Ni Ketut Susilawati ◽  
Wayan Sudana ◽  
Eka Putra Setiawan
Keyword(s):  
Hearing Impairment ◽  
Noise Exposure ◽  
Traffic Noise ◽  
Hearing Threshold ◽  
Noise Pollution ◽  
Simple Random Sampling ◽  
Cross Sectional Study ◽  
Control Group ◽  
Cross Sectional ◽  
Hearing Function

Background: Noise pollution or noise is an unwanted sound which is disturbing to human beings.However small or soft the sound, if it is undesirable it is considered as noise. Noise induced hearingloss is a sensorineural hearing loss that is commonly encountered second to presbycusis. Purpose: Toknow the effect of traffic noise exposure on hearing impairment to the employees of the Parking DistrictCompany of the Denpasar city and to improve diagnostic detection on hearing impairment caused bynoise. Method: A cross sectional study was conducted at the Parking District Company office. Thepopulations of this study were the employees of the Parking District Company. Samples of this study were the employees who were exposed to traffic noise and control samples were an employee who was unexposed. Samples were selected by simple random sampling. Results: From 40 parking attendants,27 persons (67.5%) aged above 35 years old. The parking attendants who had been working for ten to fifteen years were 36 persons (90%) and no history using ear protection when working. Seven persons(17.5%) had referred DPOAE upon examination with increase hearing threshold on audiogram result.In this study the parking attendants who had hearing deficit induced by noise were 7 persons (17.5%)and only one person (2.5%) in control group. There was a statistically significant effect of traffic noiseto hearing function deficit (p<0.05). Conclusion: Traffic noise has effect in hearing function deficit onthe parking attendants.ORLI Vol. 40 No. 2 Tahun 2010Key words: NIHL, parking attendant, audiometry, DPOAE.

Road Traffic Noise Prediction Model

2012 ◽  
Vol 3 (4) ◽  
pp. 110-112
Author(s):  
Rahul Singh ◽  
◽  
Parveen Bawa ◽  
Ranjan Kumar Thakur
Keyword(s):  
Prediction Model ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Prediction

Application of the Boundary Element Method and Modal Analysis to Tire Acoustics Problems

1993 ◽  
Vol 21 (2) ◽  
pp. 66-90 ◽  
Author(s):  
Y. Nakajima ◽  
Y. Inoue ◽  
H. Ogawa
Keyword(s):  
Finite Element ◽  
Boundary Element Method ◽  
Boundary Element ◽  
Acoustic Radiation ◽  
Traffic Noise ◽  
Noise Prediction ◽  
Prediction System ◽  
Tire Noise ◽  
Acoustic Contribution ◽  
Element Method

Abstract Road traffic noise needs to be reduced, because traffic volume is increasing every year. The noise generated from a tire is becoming one of the dominant sources in the total traffic noise because the engine noise is constantly being reduced by the vehicle manufacturers. Although the acoustic intensity measurement technology has been enhanced by the recent developments in digital measurement techniques, repetitive measurements are necessary to find effective ways for noise control. Hence, a simulation method to predict generated noise is required to replace the time-consuming experiments. The boundary element method (BEM) is applied to predict the acoustic radiation caused by the vibration of a tire sidewall and a tire noise prediction system is developed. The BEM requires the geometry and the modal characteristics of a tire which are provided by an experiment or the finite element method (FEM). Since the finite element procedure is applied to the prediction of modal characteristics in a tire noise prediction system, the acoustic pressure can be predicted without any measurements. Furthermore, the acoustic contribution analysis obtained from the post-processing of the predicted results is very helpful to know where and how the design change affects the acoustic radiation. The predictability of this system is verified by measurements and the acoustic contribution analysis is applied to tire noise control.

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