Jackie Chan ist weltbekannt für seine atemberaubende Stunts und Actionfilme. Hier erzählt Jackie Chan die aufregende Geschichte seines Lebens: wie er als Junge die Zeit mit dem tyrannischen Meister der Chinesischen Oper überstand und wie er sich vom einfachen Stuntman zum Superstar entwickelte.§Viele Farbfotos ergänzen Jackie Chans spannende Autobiographie.§
Focusing on contemporary China's Link Policy, this book analyzes its dual goals of preserving farmland and facilitating urban development through land consolidation and rural resettlement. It fills a gap in literature by providing a systematic assessment of the policy's impacts on rural life and its effectiveness. Additionally, the book explores farmers' satisfaction with the policy and the factors influencing their perspectives, offering valuable insights into the complexities of land use in modern China.
Focusing on China's Poverty Alleviation Resettlement (PAR) under the Link Policy, the book analyzes its effects on rural transformation through various scales and perspectives, including socio-economic development and urban-rural interactions. It employs diverse methodologies such as literature reviews, econometric and spatial analyses, and Cellular Automata modeling. Additionally, it offers policy recommendations to enhance farmers' livelihoods and resilience amidst lifestyle changes. The insights provided aim to inspire global policymakers and researchers tackling poverty eradication.
25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part I
The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The first volume, LNCS 11301, is organized in topical sections on deep neural networks, convolutional neural networks, recurrent neural networks, and spiking neural networks.