Influences of combined traffic noise on the ability of learning and memory in mice.

Objective: The present study aimed to evaluate the influences of combined traffic noise (CTN) on the ability of learning and memory in mice.

Materials And Methods: The Institute of Cancer Research (ICR) mice were exposed to CTN from highways and high-speed railways for 42 days, whose day-night equivalent continuous A-weighted sound pressure level (L) was 70 dB(A). On the basis of behavioral reactions in Morris water maze (MWM) and the concentrations of amino acid neurotransmitters in the hippocampus, the impacts of CTN on learning and memory in mice were examined.

Emotion recognition from sound stimuli based on back-propagation neural networks and electroencephalograms.

This research aims to explore the feasibility of using back-propagation (BP) neural networks and electroencephalograms (EEGs) to recognize the emotional reactions induced by sound stimuli in the dimensions of pleasure and arousal, as well as compare the recognition performance of each method on these two dimensions. It could provide an aided design on choosing proper sounds to induce or regulate individuals' emotional states under specific situations for potential users at the design stage. Emotional reactions to different sound stimuli are investigated by Self-Assessment Manikin.

Annoyance and activity disturbance induced by high-speed railway and conventional railway noise: a contrastive case study.

Background: High-speed railway (HR, Electrified railway with service speed above 200 km/h.) noise and conventional railway (CR, Electrified railway with service speed under 200 km/h.) noise are different in both time and frequency domain.

Aircraft noise exposure affects rat behavior, plasma norepinephrine levels, and cell morphology of the temporal lobe.

In order to investigate the physiological effects of airport noise exposure on organisms, in this study, we exposed Sprague-Dawley rats in soundproof chambers to previously recorded aircraft-related noise for 65 d. For comparison, we also used unexposed control rats. Noise was arranged according to aircraft flight schedules and was adjusted to its weighted equivalent continuous perceived noise levels (L(WECPN)) of 75 and 80 dB for the two experimental groups.

[Optimally control urban railway noise by sound propagation path].

In order to control railway noise pollution in urban areas, the residential district located near the Zhegan railway in Hangzhou urban was taken for example, and some controlling measures were proposed based on the investigation in railway noise impact as well as the planning of the district, the environmental scene and the project devises. The measures included setting man-made soil slopes, noise barriers and virescence. Combining some of them could be a typical noise reduction scheme.

[Impact of low-frequencies noise on the ability of thinking and judgment].

Three typical low frequency noise samples which were collected from some associated facilities in urban residential areas and white noise which was produced by acoustic apparatus were selected to compare the competence of brainwork index (AYP) and error rate in noisy environment with those in quiet environment, using dosage exercise method. The result indicates that AYP is lower in noisy environment and the error rate is higher than that in quiet environment, and there are significant differences between them. The changes of most testees in groups that use three different low frequency noise samples respectively are more obvious than the group that uses white noise, and the AYP difference attains significant level.

[Computer simulation model of propagation and impact of undergroud garage noise between buildings in urban residential region].

Aimed at certain types of building dispositions in urban residential region, the noise impacts of the underground garage is analyzed and calculated with the simulation model of random point sound source. The comparison between the predicted results and measured value of noise level shows that the predicted model presents an acceptable degree of accuracy. Adopting this model to predict noise impacts of the underground garage in designed and newly-built residential region will provide scientific basis for effective noise

[Prediction and influence factors of the ramp's noise of the entrance or exit of garages].

Some typical entrances/exits of the underground garages are chosen in urban residential areas. On the basis of the optimization of the positions of the noise sampling points and the groupings of the synchronous sampling points, by means of the acoustical analysis of the noise samples, the relation of the correlative factors, among the ramps' noise of the entrances or exits of the garages, the structure, grade, shape of the ramps, upgrade and downgrade, is studied. The prediction model of the ramp's noise influence of the entrance or exit of the garage is established through amending the noise influence of the entrance or exit of the even concrete road.

Subjective annoyance caused by indoor low-level and low frequency noise and control method.

The influence of low-level noise has not been widely noticed. This paper discovered that low-level and low frequency noise (A-weighted equivalent level Leq < 45 dB) causes higher probability of subjective annoyance. The fuzzy mathematic principle was applied to deal with the threshold level of subjective annoyance from noise in this study; there is preferable relationship between the indoor noise and noise annoyance at low frequency noise level.

A new approach of drawing airport noise contours on computer based on Surfer.

Noise contours are used to describe the extent of airport noise pollution and to plan land use around airports. The L(WECPN) (weighted equivalent continuous perceive noise level) recommended by ICAO(International Civil Aviation Organization) is adopted as airport noise rating parameter in this paper. With the help of various mathematical models in the software Surfer, noise contours can be drawn automatically by the completed program in Visual C++ Code.