On the Generalizability of Machine Learning Classification Algorithms and Their Application to the Framingham Heart Study

The use of machine learning algorithms in healthcare can amplify social injustices and health inequities.While the exacerbation of biases can occur and be compounded during problem selection, data collection, and outcome definition, this research pertains to the generalizability impediments that occur during the development and red pygmy dogwood po

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When another assessment attempt is bad for progress

The history and current practice of resit tests are briefly reviewed.The evidence supporting resits and also the problems associated with resits are evaluated.In addition, the financial implications of weboost splitter resits for both students and institutions are explored, along with the need to ensure assessments establish currency of ability and

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Uncertain Governance and Resilient Subjects in the Risk Society

Over the past decade or so, a series of new or revitalised strategies have been promoted crystal beaded candle holder to govern the highly uncertain threats that risk appears no longer able to prevent.Most owe their ascendancy to the lessons of 9/11, and the ‘bureaucratising of imagination’ that US sources have proposed as a response, b

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Mapping fine-scale seagrass disturbance using bi-temporal UAV-acquired images and multivariate alteration detection

Abstract Seagrasses provide critical ecosystem services but cumulative human pressure on coastal environments has seen a global decline in their health and extent.Key processes of anthropogenic disturbance can operate at local spatio-temporal scales that are not captured by conventional satellite imaging.Seagrass management strategies to prevent lo

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