Using Chinese General Social Survey (CGSS) in 2005, 2008 and 2013, this study investigates health determinants and health inequality in China. The ordinal complementary log-log model is used firstly to examine the impact of individual and contextual factors on self-rated health status. The study further checks the health inequality among subgroups divided by health determinants considered in the determinant model. We find that there are significant gender, residential, ethnic, socioeconomic, emotional, regional, and periodic differences. Moreover, the health status of subgroups defined by factors used in this research is affected by health determinants in different ways which indicates the impact of these health determinants on health is moderated by each other. We conclude that while the health status generally varies with individual factors and social contexts, each group characterized by individual and contextual features has its own unique needs to improve and maintain their health status in China. The public policies aiming to increase Chinese health status and reduce health inequality must pay close attention to these needs while equalizing the availability, accessibility, and affordability of health facilities and health care system.

No abstract

With the development of 5G technology, contemporary technologies such as Internet of Things (IoT) and Big Data analyses have been widely applied to the sport industry. This paper focuses on the design of a portable, self-powered, flexible sensor, which does not require an external power supply. The sensor is capable of monitoring speed skating techniques, thereby helping professional athletes to enhance their performance. This sensor mainly consists of Polyvinylidene Fluoride (PVDF) with polarization after a silvering electrode and a flexible polyester substrate. Flexible sensors are attached to the push-off joint part of speed skaters and the ice skate blade. During motion, it produces different piezoelectricity signals depending on the states of motion. The monitoring and analyzing of the real-time sensor signals will adjust the athlete’s skating angle, frequency, and push-off techniques, thus improving user training and enhancing performance. Moreover, the production of piezoelectric signals can charge the capacitor, provide power for small electronic equipment (e.g., wireless device), and extend the applications of wearable flexible sensors to the Big Data and IoT technologies in the sport industry.

No abstract

No abstract