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GuitaRPG
No full textGuitaRPG is a digital score created by musician Xavier Davenport using the Neoscore platform. It combines music with game-like elements, such as role-playing and skill acquisition. The performer navigates through different regions in the digital score, each with its own unique influences and colour palette. In each region, the performer must incorporate specific elements and guitar techniques to progress through the piece. The more regions the performer explores, the more complex the guitar techniques become. The player has control over the duration of their stay in each region, allowing for both macro and micro involvement. Macro involvement involves navigating the map to find specific materials, while micro involvement entails engaging with regions through playing techniques as they randomly appear. The visual materials change in density and colour, controlled by a weighted algorithm, creating a sense of exploration and improvisation for the performer. The project was realised using the Neoscore platform, with support from Andrew Yoon and Craig Vear, and was commissioned through the Digital Score project
Data on immunological expression and phenotypes in a natural population of field voles in Kielder Forest, UK 2015-2017
No full textsj-docx-1-qjp-10.1177_17470218221094312 – Supplemental material for How sociolinguistic factors shape children’s subjective impressions of teacher quality
No full text
Supplemental material for The improvised language of solidarity Linguistic practices in the participatory labour-organizing processes of multi-ethnic migrant workers
No full textVocational rehabilitation for people with multiple sclerosis in the national health service of the United Kingdom: A realist evaluation
No full textThe realist evaluation aimed to understand the mechanisms and context for implementing a VR intervention for people with MS in the NHS and develop an explanatory programme theory.
We conducted a review of evidence followed by semi-structured interviews. A realist review about VR for people with MS in the NHS was conducted on six electronic databases (PubMed, MEDLINE, PsychINFO, Web of Science, CINAHL, and EMBASE) with secondary purposive searches. Included studies were assessed for relevance and rigour. Semi-structured interviews with people with MS, employers, and healthcare professionals, were conducted remotely. Data were extracted, analysed, and synthesised to refine the programme theory and produce a logic model
Quantitative chemical exchange saturation transfer imaging of nuclear overhauser effects in acute ischemic stroke - underpinning data
No full textResearch originally performed at the Institute of Biomedical Engineering at the University of OxfordData and code required to generate figures in the paper entitled: Quantitative chemical exchange saturation transfer imaging of nuclear overhauser effects in acute ischemic strok
Social overshadowing: revisiting cue-competition in social interactions
No full textUnderstanding how we use the information surrounding us to extract patterns and guide our behavior has been of major interest in psychological research, in both social and nonsocial contexts. On the one hand, associative learning psychology has largely documented how human and nonhuman animals learn through trials to respond to rewarding stimuli, and avoid those that are not. On the other hand, researchers in social psychology have extensively investigated how our perception of and interactions with others dynamically evolve as a result of acquiring information about them. The present research adopts a domain-general approach of learning and explores whether the principles underlying associative learning also govern learning in social contexts. In particular, we examined whether overshadowing, a well-established cue-competition phenomenon, impacts learning of the cooperative behaviors of unfamiliar interaction partners. Across three experiments using an adaptation of the iterated Trust Game, we consistently observed a ‘social overshadowing’ effect, that is, a better learning about the cooperative tendencies of partners presented alone compared to those presented in a pair. This robust effect was not modulated by gender stereotypes or beliefs about the internal communication dynamics within a pair of partners. The implications of these results for both associative learning and social psychology are discussed
Data for "Optimal sampling of dynamical large deviations in two dimensions via tensor networks" by L. Causer, M.C. Banuls and J.P. Garrahan
No full textContains the data used in the figures in the paper "Optimal sampling of dynamical large deviations in two dimensions via tensor networks" by L. Causer, M.C. Banuls and J.P. Garrahan.
Also contains movies which show trajectories from the monte carlo algorithm created in these works
Wound healing microparticles
No full textWound healing is a complex biological process involving close crosstalk between various cell types. Dysregulation in any of these processes, such as in diabetic wounds, results in chronic non-healing wounds. Fibroblasts are a critical cell type involved in wound healing. We screened 315 different polymer surfaces to identify candidates which actively drove fibroblasts towards either pro- or anti-proliferative functional phenotypes. Fibroblast-instructive chemistries were identified, which we synthesized into surfactants to fabricate easy to administer microparticles for direct application to diabetic wounds. The pro-proliferative microfluidic derived particles were able to successfully promote neovascularisation, granulation tissue formation and wound closure after a single application to the wound bed. The data within this collection is associated with in vitro and in vivo assays carried out within the manuscript