Preface -- Introduction -- Thinkers Standing on the Threshold of the Century -- The Sensual Culture in Commercialized Civilization -- Rallying Call of the 20th Century – War,Revolution and the Downfall of Fascism -- The Impact of Science and Technology on Culture -- Clashes between Eastern Culture and Western Culture -- Social Mobility, Women's Liberation and Globalization -- From"Modernism" to "Post-Modernism" – Fission of Literature, Arts and Society -- Harbinger of the Digital Era -- Today's Afterglow and Tomorrow's Aurora -- Prophetic Contemplation on the Eve of a New Century -- Bibliography
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Successful catch-up is an important channel to achieve sustainable development for emerging economies; however, it is a great challenge to catch up in complex products and systems (CoPS). Studies show limited evidence on how successful catch-up occurred in CoPS for emerging economies. This study holds the view that CoPS catch-up means a narrower gap in the innovation ecosystem between latecomers and leaders. This study disentangles the CoPS innovation ecosystem and uses China's high-speed railway (HSR) as a longitudinal case with abundant data to explore how successful catch-up in CoPS is achieved. The results show that the CoPS innovation ecosystem presents a dynamic evolution in the technology innovation subsystem, the value creation subsystem, and the habitat. Four types of forces from the innovation ecosystem mix together to drive CoPS catch-up. Finally, this study proposes a CoPS catch-up process model following the basic logic of start point, activities, and performance, and CoPS industrial standards are used to measure CoPS catch-up performance. The study on CoPS catch-up from an innovation ecosystem perspective provides new insights and useful implications for governments and entities in CoPS of emerging economies.
Commuting has been treated simply as a stressor in most studies, in the belief that it increases after-work recovery needs. In this study we took into account the role of different types of activity during commuting, and investigated the impact of time spent on these activities during commuting on recovery. We also examined the moderating effect of the quality of the activities. The results showed that the duration of leisure activities positively influenced recovery and that the quality of the activities strengthened this positive influence. The duration of job-related activities had a negative impact on recovery, whereas the quality of the activities weakened this negative impact. These findings show the importance of engaging in leisure activities during commuting.
Abstract Background There has been a lack of investigation into the spatial distribution and clustering of suicide in Australia, where the population density is lower than many countries and varies dramatically among urban, rural and remote areas. This study aims to examine the spatial distribution of suicide at a Local Governmental Area (LGA) level and identify the LGAs with a high relative risk of suicide in Queensland, Australia, using geographical information system (GIS) techniques. Methods Data on suicide and demographic variables in each LGA between 1999 and 2003 were acquired from the Australian Bureau of Statistics. An age standardised mortality (ASM) rate for suicide was calculated at the LGA level. GIS techniques were used to examine the geographical difference of suicide across different areas. Results Far north and north-eastern Queensland (i.e., Cook and Mornington Shires) had the highest suicide incidence in both genders, while the south-western areas (i.e., Barcoo and Bauhinia Shires) had the lowest incidence in both genders. In different age groups (≤24 years, 25 to 44 years, 45 to 64 years, and ≥65 years), ASM rates of suicide varied with gender at the LGA level. Mornington and six other LGAs with low socioeconomic status in the upper Southeast had significant spatial clusters of high suicide risk. Conclusions There was a notable difference in ASM rates of suicide at the LGA level in Queensland. Some LGAs had significant spatial clusters of high suicide risk. The determinants of the geographical difference of suicide should be addressed in future research.