ERA is a digital repository of original research produced at The University of Edinburgh. The archive contains documents written by, or affiliated with, academic authors, or units, based at Edinburgh that have sufficient quality to be collected and preserved by the Library, but which are not controlled by commercial publishers. Holdings include full-text digital doctoral theses, masters dissertations, project reports, briefing papers and out-of-print materials.
Information on current research activity including staff, projects and publications is available via the Edinburgh Research Explorer.
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Infrared divergences in scattering amplitudes from correlators of Wilson Lines
(The University of Edinburgh, 2020-11-30)Scattering amplitudes in theories with massless particles feature infrared (IR) divergences. In QCD, gluons are massless and when their momenta tends to zero the amplitude diverges. We call this a soft divergence. For ... -
Innovative bioactive scaffold technologies for vascular tissue engineering: influences of morphology and composition
(The University of Edinburgh, 2020-11-30)Vascular disease is currently the leading cause of mortality worldwide, with coronary heart disease, peripheral arterial disease and strokes accounting for upwards of 30% of all deaths in Europe. Bypass grafting is one ... -
Selective schools: do they improve health?
(Scottish Centre for Administrative Data Research, 2021-01-14)Educated groups have better physical and mental health in later life. But is the type of school per se a cause of better later life health or it is simply that, for example, those attending “better” schools tend to come ... -
Analytics of time management strategies in online learning environments: a novel methodological approach
(The University of Edinburgh, 2020-11-30)The emergence of technology-supported education, e.g., blended and online, has changed the global higher education landscape. Importantly, the new learning modes involve more complex tasks and challenging ways of learning ... -
Multimodal and disentangled representation learning for medical image analysis
(The University of Edinburgh, 2020-11-30)Automated medical image analysis is a growing research field with various applications in modern healthcare. Furthermore, a multitude of imaging techniques (or modalities) have been developed, such as Magnetic Resonance ...
