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Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study', JMIR Medical Informatics, vol. 8, no. 9, e20995, pp. 1-23. https://doi.org/10.2196/20995 Johnston, V, Black, M
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. A. (2013). Resistance to exercise-induced weight loss: compensatory behavioral adaptations. Medicine and science in sports and exercise, 45(8), 1600–1609. https://doi.org/10.1249/MSS.0b013e31828ba942
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characterising and designing behaviour change interventions. Implementation science, 6(1), 1-12. Michie, S., Carey, R. N., Johnston, M., Rothman, A. J., De Bruin, M., Kelly, M. P., & Connell, L. E. (2018). From
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These scholarships will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance) and will provide a £900 per annum research training support grant (RTSG) to help support the PhD researcher. Applicants who already hold a doctoral degree or who have been...
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These scholarships will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance) and will provide a £900 per annum research training support grant (RTSG) to help support the PhD researcher. Applicants who already hold a doctoral degree or who have been...
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These scholarships will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance) and will provide a £900 per annum research training support grant (RTSG) to help support the PhD researcher. Applicants who already hold a doctoral degree or who have been...
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These scholarships will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance) and will provide a £900 per annum research training support grant (RTSG) to help support the PhD researcher. Applicants who already hold a doctoral degree or who have been...
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consumption during pregnancy and risk of allergic diseases in the offspring: A systematic review and meta-analysis. Critical Reviews in Food Science and Nutrition, 62(27), pp.7449-7459. Miyazaki, J., Ikehara, S
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materials into a digital twin format, aligning with global sustainability goals and strategic initiatives like the UKRI Strategy 2022–2027 and the Medical Technology Strategy. The research project aims
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. (2022, August). GradXcepUNet: Explainable AI Based Medical Image Segmentation. In International Conference on Smart Multimedia (pp. 174-188). Cham: Springer International Publishing. [3] Bhandari, M