| Issue Date | Title | Author(s) |
| 1-Dec-2016 | An experimental study of acoustic emission methodology for in service condition monitoring of wind turbine blades | Tang, J; Soua, S; Mares, C; Gan, TH |
| 8-Feb-2022 | Fatigue crack growth analysis of welded bridge details | D’Angela, D; Ercolino, M |
| 30-Mar-2019 | The impact of physiological load on anticipation skills in badminton: From testing to training | Alder, DB; Broadbent, DP; Stead, J; Poolton, J |
| 7-Jan-2024 | A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional Networks | Ardabili, SZ; Bahmani, S; Lahijan, LZ; Khaleghi, N; Sheykhivand, S; Danishvar, S |
| 1-Nov-2017 | A pattern recognition approach to acoustic emission data originating from fatigue of wind turbine blades | Tang, J; Soua, S; Mares, C; Tat-Hean, G |
| 20-Mar-2018 | Probability of fatigue failure in brick masonry under compressive loading | Koltsida, IS; Tomor, AK; Booth, CA |
| 2004 | Respiratory muscle training in healthy humans: Resolving the controversy | McConnell, AK; Romer, LM |
| 31-Oct-2019 | Safety, feasibility, acceptability and effects of a behaviour-change intervention to change physical activity behaviour among people with multiple sclerosis: results from the iStep-MS randomised controlled trial. | Ryan, JM; Fortune, J; Stennett, A; Kilbride, C; Lavelle, G; Hendrie, W; De Souza, L; Abdul, M; Brewin, D; David, L; Anokye, N; Victor, C; Norris, M |
| 9-Aug-2018 | State of the art in fatigue modelling of composite wind turbine blades | Rubiella, C; Hessabi, C; Soleiman Fallah, A |
