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Items where Author is "Pogson, MA"

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Article

Srisawat, K, Stead, CA, Hesketh, K, Pogson, MA, Strauss, JA, Cocks, MS, Siekmann, I, Phillips, SM, Lisboa, PJ, Shepherd, SO and Burniston, JG (2023) People with obesity exhibit losses in muscle proteostasis that are partly improved by exercise training. Proteomics. pp. 1-14. ISSN 1615-9853

Pogson, MA, Verheul, J, Robinson, MA, Vanrenterghem, J and Lisboa, P (2020) A neural network method to predict task- and step-specific ground reaction force magnitudes from trunk accelerations during running activities. Medical Engineering and Physics, 78. pp. 82-89. ISSN 1350-4533

Verheul, J, Nedergaard, NJ, Pogson, MA, Lisboa, P, Gregson, W, Vanrenterghem, J and Robinson, MA (2019) Biomechanical loading during running: can a two mass-spring-damper model be used to evaluate ground reaction forces for high-intensity tasks? Sports Biomechanics. ISSN 1752-6116

Camera, DM, Burniston, JG, Pogson, MA, Smiles, WJ and Hawley, JA (2017) Dynamic proteome profiling of individual proteins in human skeletal muscle after a high-fat diet and resistance exercise. The FASEB Journal. ISSN 0892-6638

Santangeli, A, Di Minin, E, Toivonen, T, Pogson, MA, Hastings, A and Smith, P (2016) Synergies and trade-offs between renewable energy extraction and biodiversity conservation - a cross-national multi-factor analysis. GCB Bioenergy, 8 (6). pp. 1191-1200. ISSN 1757-1707

Pogson, MA (2016) Simulation of Invertebrate Aggregation Shows the Importance of Stable Personality over Diversity in Consensus Decision-Making. PLoS One, 11 (10). ISSN 1932-6203

Pogson, MA, Richards, M, Dondini, M, Jones, EO, Hastings, A and Smith, P (2016) ELUM: User-friendly spatial modelling tool predicts net soil greenhouse gas balance of bioenergy land-use change in UK up to 2050. ENVIRONMENTAL MODELLING & SOFTWARE, 84. pp. 458-466. ISSN 1364-8152

Dondini, M, Richards, M, Pogson, MA, McCalmont, J, Drewer, J, Marshall, R, Siebicke, L, Yamulki, S, Harris, Z, Alberti, G, Taylor, G, Perks, M, Finch, J, McNamara, NP, Smith, JU and Smith, P (2016) Simulation of greenhouse gases following land-use change to bioenergy crops using the ECOSSE model. A comparison between site measurements and model predictions. GCB Bioenergy, 8 (5). pp. 925-940. ISSN 1757-1707

Santangeli, A, Toivonen, T, Pouzols, FM, Pogson, MA, Hastings, A and Smith, P (2016) Global change synergies and trade-offs between renewable energy and biodiversity. GCB Bioenergy, 8 (5). pp. 941-951. ISSN 1757-1707

Dondini, M, Richards, M, Pogson, MA, Jones, EO, Rowe, RL, Keith, AM, McNamara, NP, Smith, JU and Smith, P (2016) Evaluation of the ECOSSE model for simulating soil organic carbon under Miscanthus and short rotation coppice-willow crops in Britain. GCB Bioenergy, 8 (4). pp. 790-804. ISSN 1757-1707

Richards, M, Pogson, MA, Dondini, M, Jones, EO, Hastings, A, Henner, D, Tallis, MJ, Casella, E, Matthews, RW, Henshall, PA, Milner, S, Taylor, G, McNamara, NP and Smith, P (2016) High resolution spatial modelling of greenhouse gas emissions from land use change to energy crops in the UK. GCB Bioenergy. ISSN 1757-1707

Abdalla, M, Pogson, MA, Richards, M, Smith, JU and Smith, P (2016) Estimating the effect of nitrogen fertilizer on the greenhouse gas balance of soils in Wales under current and future climate. Regional Environmental Change. ISSN 1436-3798

Dondini, M, Jones, EO, Richards, M, Pogson, MA, Rowe, RL, Perks, M, McNamara, NP, Smith, JU and Smith, P (2015) Evaluation of the ECOSSE model for simulating soilcarbon under short rotation forestry energy crops in Britain. GCB Bioenergy, 7 (3). pp. 527-540. ISSN 1757-1707

Pogson, MA and Smith, P (2015) Effect of spatial data resolution on uncertainty. ENVIRONMENTAL MODELLING & SOFTWARE, 63. pp. 87-96. ISSN 1364-8152

Pogson, MA, Hastings, A and Smith, P (2013) How does bioenergy compare with other land-based renewable energy sources globally? GCB Bioenergy, 5 (5). pp. 513-524. ISSN 1757-1707

Wang, S, Wang, S, Hastings, A, Pogson, MA and Smith, P (2012) Economic and greenhouse gas costs of Miscanthus supply chains in the United Kingdom. GCB Bioenergy, 4 (3). pp. 358-363. ISSN 1757-1707

Pogson, MA, Hastings, A and Smith, P (2012) Sensitivity of crop model predictions to entire meteorological and soil input datasets highlights vulnerability to drought. ENVIRONMENTAL MODELLING & SOFTWARE, 29 (1). pp. 37-43. ISSN 1364-8152

Pogson, MA (2011) Modelling Miscanthus yields with low resolution input data. ECOLOGICAL MODELLING, 222 (23-24). pp. 3849-3853. ISSN 0304-3800

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