29 research outputs found

    Navigating a river by its bends. A study on transnational social networks as resources for the transformation of Cambodia

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    This article explores in what ways first generation Cambodian French and Cambodian American returnees create and employ the social capital available in their transnational social networks upon their return to Cambodia. The triangular interdependence between the returnees, their overseas immigrant communities and homeland society is taken as a starting point. The central argument is that Cambodian French and Cambodian American returnees build different relationships to Cambodia due to: (1) the influence of their immigrant communities in the countries of resettlement; and (2) the contexts of their exit from Cambodia. Regarding debates on the contribution of returnees to an emergent nation, findings in this multisited casestudy bring forward that ideas of return held by the three parties involved may force remigrants into transnationalism in both host and home countries. Findings also demonstrate that social capital may be seen as a resource or a restraint in the lives of returnees

    Traffic and Related Self-Driven Many-Particle Systems

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    Since the subject of traffic dynamics has captured the interest of physicists, many astonishing effects have been revealed and explained. Some of the questions now understood are the following: Why are vehicles sometimes stopped by so-called ``phantom traffic jams'', although they all like to drive fast? What are the mechanisms behind stop-and-go traffic? Why are there several different kinds of congestion, and how are they related? Why do most traffic jams occur considerably before the road capacity is reached? Can a temporary reduction of the traffic volume cause a lasting traffic jam? Under which conditions can speed limits speed up traffic? Why do pedestrians moving in opposite directions normally organize in lanes, while similar systems are ``freezing by heating''? Why do self-organizing systems tend to reach an optimal state? Why do panicking pedestrians produce dangerous deadlocks? All these questions have been answered by applying and extending methods from statistical physics and non-linear dynamics to self-driven many-particle systems. This review article on traffic introduces (i) empirically data, facts, and observations, (ii) the main approaches to pedestrian, highway, and city traffic, (iii) microscopic (particle-based), mesoscopic (gas-kinetic), and macroscopic (fluid-dynamic) models. Attention is also paid to the formulation of a micro-macro link, to aspects of universality, and to other unifying concepts like a general modelling framework for self-driven many-particle systems, including spin systems. Subjects such as the optimization of traffic flows and relations to biological or socio-economic systems such as bacterial colonies, flocks of birds, panics, and stock market dynamics are discussed as well.Comment: A shortened version of this article will appear in Reviews of Modern Physics, an extended one as a book. The 63 figures were omitted because of storage capacity. For related work see http://www.helbing.org

    Cambodian Culture since 1975

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