251 research outputs found

    Vergangenheitsbewältigung in Südkorea aus strafrechtlicher Perspektive. Die Strafverfahren gegen zwei ehemalige Staatspräsidenten

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    After the Japanese occupation the Korean people lived under military dictatorship for decades. When General Chun Doo-Hwan organized a putsch in the late 70s, another era of military dictatorship followed. After the demonstrations for democracy in Kwangju-city were crushed in May 1980, Chun Doo-Hwan and Roh Tae-Woo were presidents of the country in the next 13 years. Only the discovery of a huge corruption scandal revealed the country’s need for analysis of its past. This article tries to explain the legal difficulties in prosecuting the former Presidents of Korea. The principal problems involved the question of prescription and the success of high treason in 1979/80. The author thinks that the prosecution and condemnation of the two former Presidents was justified by the idea of justice as already formulated in the constitution of Korea

    Current management of acute myocardial infarction: Experience from the Korea Acute Myocardial Infarction Registry

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    SummaryThe Korea Acute Myocardial Infarction Registry (KAMIR) was the first nationwide, population-based, multicenter data collection registry in Korea designed to track outcomes of patients presenting with acute myocardial infarction (AMI). The registry included 51 community and teaching hospitals and contained data on 14,870 patients through January 2008. Patients with non-ST-elevation myocardial infarction had a higher prevalence of co-morbidities and worse outcome than patients with ST-elevation myocardial infarction after being discharged from hospital, emphasizing the need for aggressive outpatient management of these patients. Risk factors and prognosis after AMI were similar to those in other registries from the West. A number of innovative approaches have been implemented in numerous studies generated by the KAMIR and have set standards of care for AMI in the Korean population

    The Application of the Artificial Neural Network Ensemble Model for Simulating Streamflow

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    AbstractThis study applies the ensemble method with artificial neural network (ANN) for simulating daily discharge. The study area is the Bocheong-cheon watershed, located in the central part of South Korea. The ANN outputs were generated by randomly sampling the initial weights, the nodes of hidden layer, and the training data. The correlation and principal component analysis are used for identifying the input vectors for ANN model. The impact affecting on the performance and the uncertainty of ANN ensemble model is investigated by considering the length of training data, the type of activation functions, the number of hidden nodes and training methods. The results indicate that the performance and uncertainty of the ANN ensemble model are affected by various elements related to ANN model development. The ensemble method applied in this case study provides satisfactory results for the stream flow modelling and is useful for assessing the uncertainty of ANN model. However, the computational efficiency of the ensemble method is not effective and might be problematic for an application that needs a rapid simulation
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