37 research outputs found

    My Friend and Colleague Richard Schelp

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    https://digitalcommons.memphis.edu/speccoll-faudreerj/1214/thumbnail.jp

    Sharp Power: China’s Solution to Maintaining the Legitimacy of its Non-Interference Policy

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    This paper addresses how China’s use of sharp power has become the method with which to maintain its policy of non-interference. Firstly, I will briefly discuss the history of China’s non-interference policy and how its quest to become a major responsible power has led to its use of new influence methods abroad. Secondly, I will analyze the new influence methods, which have been described as sharp power, used by the Chinese Communist Party to exert political influence in the world today. In addition, I will highlight the main departments within the Chinese Communist Party responsible for influencing narratives abroad and the strategies used by each department. Lastly, I will use Australia and Argentina as case studies to detail how the Chinese Communist Party uses sharp power methods within these countries. I outline China’s strategy as something demanding greater international attention but not at the risk of creating paranoia or encouraging nations to sever ties with China

    Washington University Record, April 3, 2008

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    https://digitalcommons.wustl.edu/record/2138/thumbnail.jp

    Washington University Record, February 28, 2008

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    https://digitalcommons.wustl.edu/record/2134/thumbnail.jp

    Volume 29, Issue 1 (Spring 2005)

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    https://scholarship.law.missouri.edu/transcript/1116/thumbnail.jp

    Washington University Magazine, Spring 2006

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    https://digitalcommons.wustl.edu/ad_wumag/1175/thumbnail.jp

    Graph theoretic generalizations of clique: optimization and extensions

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    This dissertation considers graph theoretic generalizations of the maximum clique problem. Models that were originally proposed in social network analysis literature, are investigated from a mathematical programming perspective for the first time. A social network is usually represented by a graph, and cliques were the first models of "tightly knit groups" in social networks, referred to as cohesive subgroups. Cliques are idealized models and their overly restrictive nature motivated the development of clique relaxations that relax different aspects of a clique. Identifying large cohesive subgroups in social networks has traditionally been used in criminal network analysis to study organized crimes such as terrorism, narcotics and money laundering. More recent applications are in clustering and data mining wireless networks, biological networks as well as graph models of databases and the internet. This research has the potential to impact homeland security, bioinformatics, internet research and telecommunication industry among others. The focus of this dissertation is a degree-based relaxation called k-plex. A distance-based relaxation called k-clique and a diameter-based relaxation called k-club are also investigated in this dissertation. We present the first systematic study of the complexity aspects of these problems and application of mathematical programming techniques in solving them. Graph theoretic properties of the models are identified and used in the development of theory and algorithms. Optimization problems associated with the three models are formulated as binary integer programs and the properties of the associated polytopes are investigated. Facets and valid inequalities are identified based on combinatorial arguments. A branch-and-cut framework is designed and implemented to solve the optimization problems exactly. Specialized preprocessing techniques are developed that, in conjunction with the branch-and-cut algorithm, optimally solve the problems on real-life power law graphs, which is a general class of graphs that include social and biological networks. Computational experiments are performed to study the effectiveness of the proposed solution procedures on benchmark instances and real-life instances. The relationship of these models to the classical maximum clique problem is studied, leading to several interesting observations including a new compact integer programming formulation. We also prove new continuous non-linear formulations for the classical maximum independent set problem which maximize continuous functions over the unit hypercube, and characterize its local and global maxima. Finally, clustering and network design extensions of the clique relaxation models are explored

    Washington University Magazine and Alumni News, Summer 2000

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    https://digitalcommons.wustl.edu/ad_wumag/1151/thumbnail.jp

    The Journal of the Friends' Historical Society vol. 62 No. 1

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    An investigation of factors contributing to the sustainability of home safety equipment schemes in communities at higher risk of injury: a multiple case study based on a national programme in England

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    Background Unintentional injury in the home setting is the leading cause of mortality and morbidity among pre-school children in the UK. Multi-component, community-based intervention programmes are a recommended means of addressing injury. England operated a national home safety programme based on this approach from 2009 to 2011. The programme was targeted at high risk families and supported through national government funding. Little is currently known about the sustainability of injury prevention programmes, despite its relevance to public health planners and policy makers. Studies of programme sustainability in the global public health literature reveal an over-reliance on self-reported data from a single source and often under represent the target group perspective. Aim and setting of the current study The current study aims to explore influences on the sustainability of a multi-component injury prevention programme targeted at high risk communities in England. Study design The multiple case study design used qualitative methods to explore programme and contextual influences on sustainability in five sites. Multiple perspectives were considered including those of families in the target group and professionals involved in scheme delivery. Local, national and global public health policy documents were reviewed to understand the wider context for scheme sustainability and to corroborate research findings. Interviews with stakeholders in injury prevention policy at national and international level were undertaken to explore the conceptualisation of sustainability. Framework analysis was conducted within-case and to identify cross-case over-arching themes. The analytic framework, display matrices and production of case study profiles documented the analysis stages. ‘Thick description’ assists the consideration of transferability of findings to other settings. Principal findings Little consensus was apparent in the conceptualisation of sustainability among policy makers. Although programme sustainability was seen as relevant to those agencies influential in policy development, this was not reflected in policy documents. Funding availability and a supportive local context for scheme delivery were identified as the two main conditions required for sustainability. Ongoing change within the national political and economic context in England challenged sustainability efforts of local schemes. Three key strategies to actively encourage sustainability were identified: programme adaptation; presence of a co-ordinator or champion and extending collaborative networks. The adoption of these varied in response to contextual changes over time. Ongoing benefits of the scheme were identified in all sites. These included improved safety practices reported by the target group and increased access to harder-to-engage families for scheme professionals. Programme components displayed differential levels of fidelity between and within sites over time. Based on the study findings, a conceptual framework for promoting the sustainability of community-based child injury prevention programmes is presented. Conclusions This is the first study to comprehensively explore the sustainability of a community-based injury prevention programme in England. It has identified influences on sustainability that contribute to and support findings from other areas of public health. The proposal of a conceptual framework to promote sustainability within community-based child injury prevention programmes makes an original contribution to the field. Potential transferability of study findings suggests that public health gain may be increased by sharing the knowledge base between topics. The study identified considerable challenges to sustaining local public health initiatives amidst ongoing change in the wider political and economic environments. Educating practitioners and policy makers could improve understanding of sustainability and enhance the future prospects for local initiatives. It is therefore recommended that sustainability should form an integral part of the programme planning cycle for public health initiatives
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