The proportions of older drivers continue to increase since baby boom generation is becoming old. The level of mobility of older drivers is also increasing. Older drivers begin to noticeably be over-involved in fatal ...The proportions of older drivers continue to increase since baby boom generation is becoming old. The level of mobility of older drivers is also increasing. Older drivers begin to noticeably be over-involved in fatal crashes. Intersections appear to be hazardous to older drivers, particularly left turn due to one or more of. sensory, perceptual, cognitive, physical and general driving knowledge deficiencies. The safety concern of older drivers is also becoming significant. Ten years of crash data has been extracted from Kansas accident report system. It has been analyzed using SAS （statistical analysis system） software. Five different age groups have been considered. Comparison has been made between different age groups of the same gender, and the same age group for different gender. Effects of light condition, weather condition, surface type, surface condition, road character and construction/maintenance zone on older drivers＇ safety have also been considered in this study. It has been found out that proportion of older drivers in through movement involved in accident decreases as age increases whereas the proportion of left turn accidents increases with age, left turn is harder for females in all age groups, and proportion of right turn accidents has no specific trend. Most of the accidents have taken place during daylight when there are no adverse weather conditions on dry surface, straight and level road, and blacktop surface type.展开更多
In this paper, we propose an age-structured viral infection model with general incidence function that takes account of the loss of viral particles due to their absorption into susceptible cells. The proposed model is...In this paper, we propose an age-structured viral infection model with general incidence function that takes account of the loss of viral particles due to their absorption into susceptible cells. The proposed model is described by partial differential and ordinary differential equations. We first show that the model is mathematically and biologically well-posed. Furthermore, the uniform persistence and the global behavior of the model are investigated. Moreover, the age-structured models and results presented in many previous studies are improved and generalized.展开更多
Lean body mass （LBM） and age at menarche （AAM） are two important complex traits for human health. The aim of this study was to identify pleiotropic genes for both traits using a powerful bivariate genome-wide asso...Lean body mass （LBM） and age at menarche （AAM） are two important complex traits for human health. The aim of this study was to identify pleiotropic genes for both traits using a powerful bivariate genome-wide association study （GWAS）. Two stud- ies, a discovery study and a replication study, were performed. In the discovery study, 909622 single nucleotide polymor- phisms （SNPs） were genotyped in 801 unrelated female Han Chinese subjects using the Affymetrix human genome-wide SNP array 6.0 platform. Then, a bivariate GWAS was performed to identify the SNPs that may be important for LBM and AAM. In the replication study, significant findings from the discovery study were validated in 1692 unrelated Caucasian female subjects One SNP rs3027009 that was bivafiately associated with left arm lean mass and AAM in the discovery samples （P=7.26x10-6） and in the replication samples （P=0.005） was identified. The SNP is located at the upstream of DARC （Duffy antigen receptor for chemokines） gene, suggesting that DARC may play an important role in regulating the metabolisms of both LBM and AAM.展开更多
文摘The proportions of older drivers continue to increase since baby boom generation is becoming old. The level of mobility of older drivers is also increasing. Older drivers begin to noticeably be over-involved in fatal crashes. Intersections appear to be hazardous to older drivers, particularly left turn due to one or more of. sensory, perceptual, cognitive, physical and general driving knowledge deficiencies. The safety concern of older drivers is also becoming significant. Ten years of crash data has been extracted from Kansas accident report system. It has been analyzed using SAS （statistical analysis system） software. Five different age groups have been considered. Comparison has been made between different age groups of the same gender, and the same age group for different gender. Effects of light condition, weather condition, surface type, surface condition, road character and construction/maintenance zone on older drivers＇ safety have also been considered in this study. It has been found out that proportion of older drivers in through movement involved in accident decreases as age increases whereas the proportion of left turn accidents increases with age, left turn is harder for females in all age groups, and proportion of right turn accidents has no specific trend. Most of the accidents have taken place during daylight when there are no adverse weather conditions on dry surface, straight and level road, and blacktop surface type.
基金We are very grateful and thank the handling editor and the referees for their helpful comments which led to important improvements in our original paper. Research of the author Yu Yang was supported by National Natural Science Foundation of China （No. 11501519）.
文摘In this paper, we propose an age-structured viral infection model with general incidence function that takes account of the loss of viral particles due to their absorption into susceptible cells. The proposed model is described by partial differential and ordinary differential equations. We first show that the model is mathematically and biologically well-posed. Furthermore, the uniform persistence and the global behavior of the model are investigated. Moreover, the age-structured models and results presented in many previous studies are improved and generalized.
基金supported by the Shanghai Leading Academic Discipline Project(Grant No.S30501)a start-up fund from the Shanghai University of Science and Technology,China+1 种基金supported by grants from National Institutes of Health(Grant Nos.P50AR055081, R01AG026564,R01AR050496,RC2DE020756,R01AR057049,and R03TW008221)supported by the National Natural Science Foundation of China(Grant No.31100902)
文摘Lean body mass （LBM） and age at menarche （AAM） are two important complex traits for human health. The aim of this study was to identify pleiotropic genes for both traits using a powerful bivariate genome-wide association study （GWAS）. Two stud- ies, a discovery study and a replication study, were performed. In the discovery study, 909622 single nucleotide polymor- phisms （SNPs） were genotyped in 801 unrelated female Han Chinese subjects using the Affymetrix human genome-wide SNP array 6.0 platform. Then, a bivariate GWAS was performed to identify the SNPs that may be important for LBM and AAM. In the replication study, significant findings from the discovery study were validated in 1692 unrelated Caucasian female subjects One SNP rs3027009 that was bivafiately associated with left arm lean mass and AAM in the discovery samples （P=7.26x10-6） and in the replication samples （P=0.005） was identified. The SNP is located at the upstream of DARC （Duffy antigen receptor for chemokines） gene, suggesting that DARC may play an important role in regulating the metabolisms of both LBM and AAM.
