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Oct 08,2023

3D Printing Industry Awards 2023

The ultrasonic wave propagates in the liquid, so that the liquid and the cleaning tank vibrate together at the ultrasonic frequency, the liquid and the cleaning tank vibrate at their own natural frequency, this vibration frequency is the sonic frequency, so people

Sep 21,2023

Dust Removal and Haze Reduction Cleaner led marathon in Chaoyang

The first marathon of Liaoning Province in 2023 will be held in Chaoyang.Instead of athletes,400 Dawn II Dust Removal and Haze Reduction Cleaners,led this 42.5-kilometer track.Dust Removal and Haze Reduction Cleaner is an electric cleansing car specially designed for road dust cleaning and air pollution control.Marathons held down town faces air pollution caused by busy traffic

Sep 19,2023

Road Dust Cleansing Mode Reduced Ambient Fine Particles

Thefirst two prototypes of Dust Removal and Haze Reduction Cleaner, city snail and breezer, has demonstrated the amazing air cleansing effect during municipal cleaning. Not only did them improve the road surface cleaning efficiency, but also collected ambient fine particles.

Sep 05,2023

Impact of ambient fine particlate matter (PM2.5) exposure on the risk of influenzalike-illness: a time-series analysis in Beijing, China

Background: Air pollution in Beijing, especially PM2.5, has received increasing attention in the past years. Althoughexposure to PM2.5 has been linked to many health issues, few studies have quantified the impact of PM2.5 on the risk of influenza-like illness (ILI). The aim of our study is to investigate the association between daily PM2.5 and ILI risk in Beijing, by means of a generalized additive model. Methods: Daily PM2.5, meteorological factors, and influenza-like illness (ILI) counts during January 1, 2008 to December 31, 2014 were retrieved. An inverse Gaussian generalized additive model with log link function was used to flexibly model the nonlinear relationship between the PM2.5 (single- and multiday lagged exposure) and ILI risk, adjusted for the weather conditions, seasonal and year trends. We also assessed if the effect of PM2.5 differs during flu season versus non-flu season by including the interaction term between PM2.5 and flu season in the model. Furthermore, a stratified analysis by age groups was conducted to investigate how the effect of PM2.5 differs across age groups. Results: Our findings suggested a strong positive relationships between PM2.5 and ILI risk at the flu season (October-April) (p-value < 0.001), after adjusting for the effects of ambient daily temperature and humidity, month and year; whereas no significant association was identified at the non-flu season (May-September) (p-value = 0.174). A short term delayed effect of PM2.5 was also identified with 2-day moving average (current day to the previous day) of PM2.5 yielding the best predictive power. Furthermore, PM2.5 was strongly associated with ILI risk across all age groups (p-value < 0.001) at the flu season, but the effect was the most pronounced among adults (age 25–59), followed by young adults (age 15–24), school children (age 5–14) and the elderly (age 60+) and the effect of PM2.5 was the least pronounced for children under 5 years of age (age < 5). Conclusions: Ambient PM2.5 concentrations were significantly associated with ILI risk in Beijing at the flu season and the effect of PM2.5 differed across age groups, in Beijing, China. Keywords: PM2.5, Influenza, Meteorological factor, Spline, Generalized additive model

Aug 31,2023

Congratulations on the new website of Wuhan ESD Tech Co. Ltd.

Congratulations on the new website of Wuhan Yisheng Da Technology and Trade Co., LTD

Aug 31,2023

Cleaning machine used for too long common fault analysis

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