| 1. |
- Deng, Qihong, et al.
(författare)
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Early life exposure to traffic-related air pollution and allergic rhinitis in preschool children
- 2016
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Ingår i: Respiratory Medicine. - : Elsevier BV. - 0954-6111 .- 1532-3064. ; 121, s. 67-73
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Tidskriftsartikel (refereegranskat)abstract
- Background: Evidence linking long-term exposure to outdoor air pollution with allergic rhinitis (AR) in children is scare, and the role of components of air pollution and timing of exposure remains unclear. Objective: To assess the association of pre- and post-natal exposure to air pollution with life-time prevalence of AR in preschool children. Methods: We conducted a cohort study of 2598 children aged 3-6 years in Changsha, China. The lifetime prevalence of AR was assessed by a questionnaire administered by parents. Children's exposures to dioxide nitrogen (NO2), sulfur dioxide (SO2) and particulate matter with an aerodynamic diameter <= 10 mu m (PM10) during different pre-and post-natal timing windows were estimated using the measured concentrations at monitoring stations. The odds ratio (OR) and 95% confidence interval (CI) of childhood AR for exposure to different air pollutants during different timing windows were assessed by logistic regression model in terms of an interquartile range (IQR) increase in exposure level. Results: Life-time prevalence of AR in preschool children (7.3%) was associated with both pre-and postnatal exposure to traffic-related air pollution (TRAP), but only significant during the third trimester of pregnancy with adjusted OR = 1.40 (95% CI: 1.08-1.82) for a 15 mu g/m(3) increase in NO2 and during the first-year of life with adjusted OR = 1.36 (95% CI: 1.03-1.78) and 1.54 (95% CI: 1.07-2.21) respectively for 11 and 12 mu g/m(3) increase in NO2 and PM10. The association of early life exposure to TRAP with childhood AR was robust by adjusting for other air pollutants and timing windows. Sensitivity analysis indicated that the association was higher in the children who are male, young, with genetic predisposition by parental atopy, and living in damp houses. Conclusion: Early life exposure to traffic-related air pollutant during pregnancy and first-year of life may contribute to childhood AR.
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| 2. |
- Lu, Yichen, et al.
(författare)
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Analytical Method of Traffic Conflict at Urban Road Intersections Based on Risk Region
- 2021
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Ingår i: Tongji Daxue Xuebao/Journal of Tongji University. - 0253-374X. ; 49:7, s. 941-948
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Tidskriftsartikel (refereegranskat)abstract
- A two-stage method of traffic conflict analysis was proposed based on risk region. By using the inD dataset, traffic conflicts were recognized with the calculation of time to risk region(tTTR), and then the degree of traffic conflict risk was judged by risk region duration. Compared with the method based on time-to-collision(tTTC), the proposed method can not only identify rear-end conflicts and crossing conflicts more effectively, but also characterize the degree of traffic conflict risk at different times.
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| 3. |
- Shao, Bing, et al.
(författare)
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Deep Learning based Coffee Beans Quality Screening
- 2022
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Ingår i: Proceedings 2022 IEEE International Conference on e-Business Engineering ICEBE 2022. - : IEEE. - 9781665492447 - 9781665492454 ; , s. 271-275
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Konferensbidrag (refereegranskat)abstract
- Coffee bean quality screening is a time-consuming work, and its workload increases abruptly with the rapid development of coffee beverage consumer market. In this work, a CNN-based classifier is developed to categorizing the coffee beans into sour, black, broken, moldy, shell, insect damage and good beans. The screening test results show that the screening accuracy could reach more than 90% for all other beans except for shell beans (88%). Therefore, the proposed method is feasible and promising. Moreover, a cost-effective automatic coffee bean screening system using the developed classifier is manufactured and implemented for a local company.
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