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Brett Smith

Researcher at Durham University

Publications -  243
Citations -  14926

Brett Smith is an academic researcher from Durham University. The author has contributed to research in topics: Narrative & Narrative inquiry. The author has an hindex of 52, co-authored 241 publications receiving 12137 citations. Previous affiliations of Brett Smith include Loughborough University & Universities UK.

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Crossing boundaries: The perceived impact of disabled fitness instructors in the gym

TL;DR: In this paper, the authors explored how disabled gym instructors perceived they impacted the gym environment and the possibilities of making the gym a more inclusive space for disabled people to exercise, and highlighted that to increase gym use amongst disabled populations, efforts should consider the potential beneficial impacts of disabled gym instructor in relation to promoting health and well-being.
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Modelling behavioural rules for daily activity scheduling using fuzzy logic

TL;DR: The results show that large deviations in trip duration are more likely to induce significant changes in the timetable whereas small deviations are either ignored or translated into modified timing of the next activity.
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Inflammation-mediating cytokine response to acute handcycling exercise with/without functional electrical stimulation-evoked lower-limb cycling.

TL;DR: HYB may provide a greater anti-inflammatory potential in individuals with a thoracic spinal cord injury compared with HC alone, and initial findings suggest paralyzed skeletal muscle releases IL-6 in response to FES-evoked contractions.
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'It's not a part of me, but it is what it is': the struggle of becoming en-wheeled after spinal cord injury.

TL;DR: The notions of humanist and posthumanist enwheelment are developed and presented as two ends of a continuum and should be mindful of the complexities of cyborgification to avoid ableism and help people flourishing within and beyond recovery.

Modelling daily activity schedules with fuzzy logic

TL;DR: In this paper, the authors used fuzzy logic rules to explain the effect of variability in travel time on the benefits perceived by an individual with the changes, and to model different actions that the individuals take in order to re-establish the steadiness of the timetable (routine of the family activities).