Publications by authors named "T R Engel"

Today, at the international level, powerful data portals are available to biodiversity researchers and policymakers, offering increasingly robust computing and network capacities and capable data services for internationally agreed-on standards. These accelerate individual and complex workflows to map data-driven research processes or even to make them possible for the first time. At the national level, however, and alongside these international developments, national infrastructures are needed to take on tasks that cannot be easily funded or addressed internationally.

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Introduction: A previous study found that following out-of-hospital cardiac arrest (OHCA), 67% of out-of-hospital 12-lead electrocardiograms (ECGs) diagnostic for ST-segment elevation myocardial infarction (STEMI) changed to non-STEMI on repeat emergency department (ED) ECG. Here we evaluated associations with resolution of STEMI on ED ECG.

Methods: In this secondary analysis of a previous retrospective study, adults (≥18 years) with return of spontaneous circulation (ROSC) following OHCA, at least 1 out-of-hospital and ED ECG and transport to the study hospital were entered.

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Adolescent elite athletes in Olympic sports often specialise at an early age, which increases the risk of overuse and traumatic injuries. The knowledge of injury patterns is a key aspect for prevention strategies. However, little is known about adolescent athlete's injury patterns in most Olympic sports.

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The ability to adapt to unexpected changes in environments is associated with the risk of running-related injuries. Although gait retraining programs can mitigate injury risk, there is a scarcity of studies focusing on neuromechanical adaptations during running with unpredictable perturbations. Hence, the current experiment aimed to analyse spatial-temporal and muscle activity adaptation during a perturbed running protocol.

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Higher cortical areas carry a wide range of sensory, cognitive and motor signals mixed in heterogeneous responses of single neurons tuned to multiple task variables. Dimensionality reduction methods that rely on correlations between neural activity and task variables leave unknown how heterogeneous responses arise from connectivity to drive behavior. We develop the latent circuit model, a dimensionality reduction approach in which task variables interact via low-dimensional recurrent connectivity to produce behavioral output.

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