Gestational hypertension(GH)is a common complication during pregnancy.GH is regarded as a potential public health challenge for pregnant women and infants.Limited evidence has linked ambient air pollution to an increa...Gestational hypertension(GH)is a common complication during pregnancy.GH is regarded as a potential public health challenge for pregnant women and infants.Limited evidence has linked ambient air pollution to an increased GH risk.However,most of the studies were conducted in developed countries,with inconsistent results obtained.The present study was performed to explore whether exposure to particulate matters with an aerodynamic diameter≤2.5(PM2.5)and ozone(O3)was related to elevated odds of GH in a Chinese population.This population-based cohort study involved 38115 pregnant women in Wuhan,China.All information was collected from the Wuhan Maternal and Child Health Management Information System,using standardized quality control.The daily air pollutant data for PM2.5 and O3 were obtained from the 20 monitoring stations of the Wuhan Environmental Monitoring Center during 2014.The nearest monitor approach was applied to individual exposure assessment of PM2.5 and O3 for each participant.After adjusting for major confounders and other air pollutants,a 10μg/m^3 increase in PM25 and O3 concentrations was found to correlate to a 1.14-fold[95%confidence interval(95%CI):1.09,1.20]and a 1.05-fold(95%CI:1.02,1.07)increase in GH risk,respectively.Additionally,stronger relationships between GH risk and PM25 and O3 exposure were observed in women who conceived in winter and summer,respectively.These findings suggest that air pollutants may contribute to the development of GH.展开更多
Direct Monte Carlo(MC) simulation is a powerful probabilistic safety assessment method for accounting dynamics of the system.But it is not efficient at simulating rare events.A biasing transition rate method based on ...Direct Monte Carlo(MC) simulation is a powerful probabilistic safety assessment method for accounting dynamics of the system.But it is not efficient at simulating rare events.A biasing transition rate method based on direct MC simulation is proposed to solve the problem in this paper.This method biases transition rates of the components by adding virtual components to them in series to increase the occurrence probability of the rare event,hence the decrease in the variance of MC estimator.Several cases are used to benchmark this method.The results show that the method is effective at modeling system failure and is more efficient at collecting evidence of rare events than the direct MC simulation.The performance is greatly improved by the biasing transition rate method.展开更多
As temperature changes constantly in nuclear reactor operation, on-the-fly Doppler broadening methods are commonly adopted for generating nuclear cross sections at various temperatures in neutron transport simulation....As temperature changes constantly in nuclear reactor operation, on-the-fly Doppler broadening methods are commonly adopted for generating nuclear cross sections at various temperatures in neutron transport simulation. Among the existing methods, the widely used SIGMA1 approach is inefficient because it involves error function and Taylor series expansion. In this paper, we present a new on-the-fly Doppler broadening with optimal double-exponential formula based on SuperMC to improve efficiency with given accuracy. In this method, doubleexponential formula in 1/16 steps is used for broadening cross section at low energy, with both accuracy and efficiency. Meanwhile, the Gauss–Hermite quadrature of different orders is used for broadening cross section at resonance energy. The method can generate neutron cross section rapidly and precisely at the desired temperature.Typical nuclide cross sections and benchmarking tests are presented in detail.展开更多
基金the National Key Research&Development Program of China(No.2017YFC0212003)the National Natural Science Foundation of China(No.21577043)the Natural Science Foundation of Hubei Province(No.2010CDB08803).
文摘Gestational hypertension(GH)is a common complication during pregnancy.GH is regarded as a potential public health challenge for pregnant women and infants.Limited evidence has linked ambient air pollution to an increased GH risk.However,most of the studies were conducted in developed countries,with inconsistent results obtained.The present study was performed to explore whether exposure to particulate matters with an aerodynamic diameter≤2.5(PM2.5)and ozone(O3)was related to elevated odds of GH in a Chinese population.This population-based cohort study involved 38115 pregnant women in Wuhan,China.All information was collected from the Wuhan Maternal and Child Health Management Information System,using standardized quality control.The daily air pollutant data for PM2.5 and O3 were obtained from the 20 monitoring stations of the Wuhan Environmental Monitoring Center during 2014.The nearest monitor approach was applied to individual exposure assessment of PM2.5 and O3 for each participant.After adjusting for major confounders and other air pollutants,a 10μg/m^3 increase in PM25 and O3 concentrations was found to correlate to a 1.14-fold[95%confidence interval(95%CI):1.09,1.20]and a 1.05-fold(95%CI:1.02,1.07)increase in GH risk,respectively.Additionally,stronger relationships between GH risk and PM25 and O3 exposure were observed in women who conceived in winter and summer,respectively.These findings suggest that air pollutants may contribute to the development of GH.
基金supported by the Special Projects of International Thermonuclear Experimental Reactor(2015GB116000)the Strategic Priority Research Program of Chinese Academy of Sciences(No.XDA03040000)+1 种基金the Informatizational Special Projects of Chinese Academy of Sciences(No.XXH12504-1-09)the Major/Innovative Program of Development Foundation of Hefei Center for Physical Science and Technology(No.2014FXCX004)
文摘Direct Monte Carlo(MC) simulation is a powerful probabilistic safety assessment method for accounting dynamics of the system.But it is not efficient at simulating rare events.A biasing transition rate method based on direct MC simulation is proposed to solve the problem in this paper.This method biases transition rates of the components by adding virtual components to them in series to increase the occurrence probability of the rare event,hence the decrease in the variance of MC estimator.Several cases are used to benchmark this method.The results show that the method is effective at modeling system failure and is more efficient at collecting evidence of rare events than the direct MC simulation.The performance is greatly improved by the biasing transition rate method.
基金supported by the Strategic Priority Science and Technology Program of the Chinese Academy of Sciences(No.XDA03040000)the Innovation Foundation of the Chinese Academy of Sciences(No.CXJJ-16Q231)+7 种基金the National Natural Science Foundation of China(NSFC)(Nos.11305205,11305203,11405204and 11605233)the National Magnetic Confinement Fusion Science Program of China(No.2014GB112001)the Special Program for Informatization of the Chinese Academy of Sciences(No.XXH12504-1-09)the Anhui Provincial Special project for High Technology Industrythe Special Project of Youth Innovation Promotion Association of Chinese Academy of Sciencesthe Industrialization Fundthe Open Funds of Engineering Research Center of Nuclear Technology Application of Ministry of Education(No.HJSJYB2011-11)Jiang Xi young science foundation project(No.GJJ150558)
文摘As temperature changes constantly in nuclear reactor operation, on-the-fly Doppler broadening methods are commonly adopted for generating nuclear cross sections at various temperatures in neutron transport simulation. Among the existing methods, the widely used SIGMA1 approach is inefficient because it involves error function and Taylor series expansion. In this paper, we present a new on-the-fly Doppler broadening with optimal double-exponential formula based on SuperMC to improve efficiency with given accuracy. In this method, doubleexponential formula in 1/16 steps is used for broadening cross section at low energy, with both accuracy and efficiency. Meanwhile, the Gauss–Hermite quadrature of different orders is used for broadening cross section at resonance energy. The method can generate neutron cross section rapidly and precisely at the desired temperature.Typical nuclide cross sections and benchmarking tests are presented in detail.
