131 research outputs found

    German political and economic ideology in the twentieth century and its theological problems:The Lutheran genealogy of ordoliberalism

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    Ordoliberalism is widely considered to be the dominant ideology of the German political elite today and consequently responsible at least in part for its hard ‘austerity’ line during the recent Eurozone crisis. This article presents a genealogy of the main concerns, concepts and problems around which early German ordoliberalism was formed and structured as a political and economic ideology. Early ordoliberalism is shown to be rooted in an interwar Germanophone Lutheran Evangelical tradition of anti-humanist ‘political ethics’. Its specific conceptions of the market, the state, the individual, freedom and duty were developed on a Lutheran Evangelical basis. Analytically, the article considers ideological influences of theology on political and economic theory not so much in terms of consensus and ideational overlap, but rather in terms of shared concerns, concepts and problems across different positions

    Field Theory in Cultural Capital Studies of Educational Attainment

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    From amateurism to professionalism

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    Hypoglycemia event prediction from CGM using ensemble learning

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    This work sought to explore the potential of using standalone continuous glucose monitor (CGM) data for the prediction of hypoglycemia utilizing a large cohort of type 1 diabetes patients during free-living. We trained and tested an algorithm for the prediction of hypoglycemia within 40 minutes on 3.7 million CGM measurements from 225 patients using ensemble learning. The algorithm was also validated using 11.5 million synthetic CGM data. The results yielded a receiver operating characteristic area under the curve (ROC AUC) of 0.988 and a precision-recall area under the curve (PR AUC) of 0.767. In an event-based analysis for predicting hypoglycemic events, the algorithm had a sensitivity of 90%, a lead-time of 17.5 minutes and a false-positive rate of 38%. In conclusion, this work demonstrates the potential of using ensemble learning to predict hypoglycemia, using only CGM data. This could help alarm patients of a future hypoglycemic event so countermeasures can be initiated

    Grønne fællesskaber i byerne:Civilt engagement og medborgerskab i bynatur og grønne områder

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