Items where authors include "Simpson, T."
Article
Abani, O., Abbas, A., Abbas, F. et al. (8041 more authors) (2025) Molnupiravir or nirmatrelvir–ritonavir plus usual care versus usual care alone in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial. The Lancet Infectious Diseases. ISSN 1473-3099
Abani, O., Abbas, A., Abbas, F. et al. (8021 more authors) (2025) Higher dose corticosteroids in hospitalised COVID-19 patients requiring ventilatory support (RECOVERY): a randomised, controlled, open-label, platform trial. eClinicalMedicine, 81. 103080. ISSN 2589-5370
Abani, O., Abbas, A., Abbas, F. et al. (8021 more authors) (2025) Higher dose corticosteroids in hospitalised COVID-19 patients requiring ventilatory support (RECOVERY): a randomised, controlled, open-label, platform trial. EClinicalMedicine, 81. 103080. ISSN 2589-5370
Simpson, T., Vlachas, K., Garland, A. et al. (2 more authors) (2024) VpROM: a novel variational autoencoder-boosted reduced order model for the treatment of parametric dependencies in nonlinear systems. Scientific Reports, 14 (1). 6091. ISSN 2045-2322
Faust, S.N., Haynes, R., Jones, C.E. et al. (7370 more authors) (2024) Immunomodulatory therapy in children with paediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 (PIMS-TS, MIS-C; RECOVERY): a randomised, controlled, open-label, platform trial. The Lancet Child & Adolescent Health, 8 (3). pp. 190-200. ISSN 2352-4642
Faust, S.N., Haynes, R., Jones, C.E. et al. (7370 more authors) (2024) Immunomodulatory therapy in children with paediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 (PIMS-TS, MIS-C; RECOVERY): a randomised, controlled, open-label, platform trial. The Lancet Child & Adolescent Health, 8 (3). pp. 190-200. ISSN 2352-4642
Abani, O., Abbas, A., Abbas, F. et al. (7989 more authors) (2023) Empagliflozin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial. The Lancet Diabetes & Endocrinology, 11 (12). pp. 905-914. ISSN 2213-8587
Abani, O., Abbas, A., Abbas, F. et al. (8104 more authors) (2023) Higher dose corticosteroids in patients admitted to hospital with COVID-19 who are hypoxic but not requiring ventilatory support (RECOVERY): a randomised, controlled, open-label, platform trial. The Lancet, 401 (10387). pp. 1499-1507. ISSN 0140-6736
Simpson, T., Dervilis, N. orcid.org/0000-0002-5712-7323, Couturier, P. et al. (2 more authors) (2023) Reduced order modeling of non-linear monopile dynamics via an AE-LSTM scheme. Frontiers in Energy Research, 11. 1128201. ISSN 2296-598X
Brown, M., Saund, J., Qureshi, A. et al. (14 more authors) (2022) Demographics and outcomes of initial phase of COVID-19 medicines delivery units across 4 UK centers during peak B1.1.529 Omicron epidemic: a service evaluation. Open Forum Infectious Diseases, 9 (10). ofac527. ISSN 2328-8957
Simpson, T., Dervilis, N. orcid.org/0000-0002-5712-7323 and Chatzi, E. (2021) Machine learning approach to model order reduction of nonlinear systems via autoencoder and LSTM networks. Journal of Engineering Mechanics, 147 (10). 04021061. ISSN 0733-9399
Proceedings Paper
Simpson, T., Dervilis, N. orcid.org/0000-0002-5712-7323 and Chatzi, E. (2020) On the use of nonlinear normal modes for nonlinear reduced order modelling. In: Papadrakakis, M., Fragiadakis, M. and Papadimitriou, C., (eds.) EURODYN 2020 - XI International Conference on Structural Dynamics, Proceedings. EURODYN 2020 - XI International Conference on Structural Dynamics, 23-26 Nov 2020, Athens, Greece. EASD - European Association for Structural Dynamics , pp. 3865-3877. ISBN 9786188507227
Taylor, C.M., Simpson, T. and Crawforth, P. (2020) Resource consumption and process performance in minimum quantity lubricated milling of tool steel. In: Seliger, G., Ganiyusufoğlu, O.S., Zhang, W. and Kohl, H., (eds.) Procedia Manufacturing. 17th Global Conference on Sustainable Manufacturing, 09-11 Oct 2019, Shanghai, China. Elsevier , pp. 463-470.
Scott, D., Simpson, T., Dervilis, N. et al. (2 more authors) (2018) Machine learning for energy load forecasting. In: Journal of Physics: Conference Series. Modern Practice in Stress and Vibration Analysis (MPSVA) 2018, 02-04 Jul 2018, Cambridge, United Kingdom. IOP Publishing .