SOCIOECONOMIC POSITION, GENDER AND HYPERTENSION IN A RURAL CANADIAN POPULATION

Background: High blood pressure is the leading risk factor for disease burden worldwide, contributing to more than 9 million deaths each year. Some research suggests that the prevalence of hypertension increases as individual/household socioeconomic position (SEP) decreases. The results of multilevel studies also suggest an association between poorer neighborhood socioeconomic circumstances and hypertension. Further, at both the individual/household- and area-level, high blood pressure may be more strongly related to SEP among women than men. Most research, however, has been restricted to urban populations. There has not been much research which examines risk factors for hypertension in rural Canada and, in particular, socioeconomic risk factors. Objectives: To examine the relationship between individual/household- and area- level socioeconomic circumstances, gender, and high blood pressure in a rural Saskatchewan population. Methods: There were two data sources for this study. Individual/household-level data were from the Saskatchewan Rural Health Study (SRHS). Analyses focused on adults (n=8,261) who completed the cross-sectional baseline questionnaire. Census subdivisions were used to link SRHS data with area-level data from the 2006 Canadian census. The dependent variable was self-reported diagnosed high blood pressure. The primary independent variables were gender and four measures of socioeconomic circumstances: household income, educational attainment, arealevel material deprivation, and area-level social deprivation. Principal components analysis was used to derive the area-level measures of deprivation. Multilevel logistic regression was the primary method of analysis. Results: Four main findings emerged: 1) low educational attainment was associated with a greater odds of high blood pressure; 2) the relationship between low household income and high blood pressure was more pronounced among women than men; 3) the relationship between higher area-level social deprivation and high blood pressure was more pronounced among men than women; and 4) area-level material deprivation was not associated with high blood pressure. iii Conclusion: Study results revealed complex relationships between SEP, gender, and high blood pressure in this rural Saskatchewan population. Future research applying a longitudinal design is needed to advance understanding of the relationship between SEP and incident hypertension in rural Canada, including the identification of vulnerable subgroups. Also needed is research examining the factors which explain (i.e. mediate) associations between SEP and hypertension in rural settings, particularly at the area-level

Real-Time Illegal Parking Detection System Based on Deep Learning

The increasing illegal parking has become more and more serious. Nowadays the methods of detecting illegally parked vehicles are based on background segmentation. However, this method is weakly robust and sensitive to environment. Benefitting from deep learning, this paper proposes a novel illegal vehicle parking detection system. Illegal vehicles captured by camera are firstly located and classified by the famous Single Shot MultiBox Detector (SSD) algorithm. To improve the performance, we propose to optimize SSD by adjusting the aspect ratio of default box to accommodate with our dataset better. After that, a tracking and analysis of movement is adopted to judge the illegal vehicles in the region of interest (ROI). Experiments show that the system can achieve a 99% accuracy and real-time (25FPS) detection with strong robustness in complex environments.Comment: 5pages,6figure

High-Resolution Electric-Field-Driven Jet 3D Printing and Applications

Multi-scale and multi-material 3D printing technique has been regarded as a revolutionary technology and a next-generation manufacturing tool, which can really fulfill the “creating material” and “creating life,” especially subvert the traditional product design and the manufacturing method. However, very few of the established additive manufacturing processes possess the capability to fully implement the fabrication of multi-scale and multi-material. A novel high-resolution 3D printing, named as high-resolution electric-field-driven jet 3D printing, which is based on the induced electric field and EHD cone-jetting behavior, has been developed by our research team. It provides a feasible approach to implement the additive manufacturing of multi-scale and multi-material with high efficiency and low cost. This chapter will introduce this new high resolution 3D printing technique. In particular, many typical applications including transparent conducting electrodes, tissue engineering scaffold, 3D electronics, etc., are presented in detail