Significance of serum troponin I elevation in patients with acute aortic dissection of the ascending aorta

The focus of the presentation was the European COVID-19 Research Data Platform whose primary priority is to speed up and improve the sharing, re-use, processing of, and access to research data and metadata on the SARS-CoV-2 and the related COVID-19 disease. It has been emphasised that all data and metadata should be as open as possible and as FAIR as possible (FAIR principle: findability, accessibility, interoperability, and reuse)

Presence and extent of cardiac magnetic resonance microvascular obstruction in reperfused non-ST-elevated myocardial infarction and correlation with infarct size and myocardial enzyme release

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Unfolding Structure in the Drawings of Cubes

Recent work using neural networks and crowd-sourced perceptual judgements has shown that human figure drawings contain latent structure that can predict many characteristics of the artist including parent-reported motor function and perceived gender. We extend these approaches to two-dimensional renderings of three-dimensional cubes, assessing whether latent structure in these cube drawings likewise predicts demographic characteristics and motor function measured via a paper-folding task. Drawings produced with marker and paper showed a large predictive relationship with paper-folding (accounting for 59% of the offset variance, 62% of the angle variance, ps < .01). We also observed a complex interaction with gender: better cube-drawings predicted better paper-folding for male-identifying participants, but this relationship was reversed for female-identifying participants, who demonstrated better paper folding abilities overall. The results suggest that cube drawings contain richer structure than previously recognized and can provide a useful nonverbal metric for characterizing aspects of cognitive and motor abilities