2024
Mitchinson, A. J., Pogson, M., Czanner, G., Conway, D., Wilkinson, R. R., Murphy, M. F., . . . Webb, S. D. (2024). A stochastic model for topographically influenced cell migration.. Journal of theoretical biology, 581, 111745. doi:10.1016/j.jtbi.2024.111745DOI: 10.1016/j.jtbi.2024.111745
Mark Pogson., & Tom Nicholls. (2024). Agent-based modeling of diversity, new information and minority groups in opinion formation. Computational Communication Research, 6(1), 1. doi:10.5117/ccr2024.1.3.pogsDOI: 10.5117/ccr2024.1.3.pogs
2023
Srisawat, K., Stead, C. A., Hesketh, K., Pogson, M., Strauss, J. A., Cocks, M., . . . Burniston, J. G. (2023). People with obesity exhibit losses in muscle proteostasis that are partly improved by exercise training.. Proteomics, e2300395. doi:10.1002/pmic.202300395DOI: 10.1002/pmic.202300395
Muscle of obese insulin-resistant humans exhibits losses in proteostasis and attenuated proteome dynamics that are improved by exercise training (Preprint)
DOI: 10.1101/2023.03.16.532839
2021
Biomechanical loading during running: can a two mass-spring-damper model be used to evaluate ground reaction forces for high-intensity tasks? (Journal article)
Verheul, J., Nedergaard, N. J., Pogson, M., Lisboa, P., Gregson, W., Vanrenterghem, J., & Robinson, M. A. (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. doi:10.1080/14763141.2019.1584238DOI: 10.1080/14763141.2019.1584238
Pogson, M. (n.d.). Climate disinformation adverts: real-world indicators of an online problem. Academia Letters. doi:10.20935/al512DOI: 10.20935/al512
2020
A neural network method to predict task- and step-specific ground reaction force magnitudes from trunk accelerations during running activities (Journal article)
Pogson, M., Verheul, J., Robinson, M. A., Vanrenterghem, J., & 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 & PHYSICS, 78, 82-89. doi:10.1016/j.medengphy.2020.02.002DOI: 10.1016/j.medengphy.2020.02.002
PopFor: A new model for estimating poplar yields (Journal article)
Henner, D. N., Hastings, A., Pogson, M., McNamara, N. P., Davies, C. A., & Smith, P. (2020). PopFor: A new model for estimating poplar yields. BIOMASS & BIOENERGY, 134. doi:10.1016/j.biombioe.2020.105470DOI: 10.1016/j.biombioe.2020.105470
2018
Mapping the global potential exposure of soaring birds to terrestrial wind energy expansion (Journal article)
Santangeli, A., Butchart, S. H. M., Pogson, M., Hastings, A., Smith, P., Girardello, M., & Moilanen, A. (2018). Mapping the global potential exposure of soaring birds to terrestrial wind energy expansion. ORNIS FENNICA, 95(1), 1-14. Retrieved from https://www.webofscience.com/
2017
Evaluation of the ECOSSE model to predict heterotrophic soil respiration by direct measurements (Journal article)
Dondini, M., Alberti, G., Delle Vedove, G., Ventura, M., Tonon, G., Viger, M., . . . Smith, P. (2017). Evaluation of the ECOSSE model to predict heterotrophic soil respiration by direct measurements. EUROPEAN JOURNAL OF SOIL SCIENCE, 68(3), 384-393. doi:10.1111/ejss.12416DOI: 10.1111/ejss.12416
Dynamic Proteome Profiling of the Human Muscle Response to Resistance Exercise Training (Conference Paper)
Burniston, J. G., Camera, D. M., Pogson, M. A., & Hawley, J. A. (2017). Dynamic Proteome Profiling of the Human Muscle Response to Resistance Exercise Training. In FASEB JOURNAL Vol. 31. Retrieved from https://www.webofscience.com/
High-resolution spatial modelling of greenhouse gas emissions from land-use change to energy crops in the United Kingdom (Journal article)
Richards, M., Pogson, M., Dondini, M., Jones, E. O., Hastings, A., Henner, D. N., . . . Smith, P. (2017). High-resolution spatial modelling of greenhouse gas emissions from land-use change to energy crops in the United Kingdom. GLOBAL CHANGE BIOLOGY BIOENERGY, 9(3), 627-644. doi:10.1111/gcbb.12360DOI: 10.1111/gcbb.12360
Dynamic proteome profiling of individual proteins in human skeletal muscle after a high-fat diet and resistance exercise (Journal article)
Camera, D. M., Burniston, J. G., Pogson, M. A., Smiles, W. J., & Hawley, J. A. (2017). Dynamic proteome profiling of individual proteins in human skeletal muscle after a high-fat diet and resistance exercise. FASEB JOURNAL, 31(12), 5478-5494. doi:10.1096/fj.201700531RDOI: 10.1096/fj.201700531R
2016
Estimating the effect of nitrogen fertilizer on the greenhouse gas balance of soils in Wales under current and future climate (Journal article)
Abdalla, M., Richards, M., Pogson, M., Smith, J. U., & 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, 16(8), 2357-2368. doi:10.1007/s10113-016-0958-7DOI: 10.1007/s10113-016-0958-7
Synergies and trade-offs between renewable energy expansion and biodiversity conservation - a cross-national multifactor analysis (Journal article)
Santangeli, A., Di Minin, E., Toivonen, T., Pogson, M., Hastings, A., Smith, P., & Moilanen, A. (2016). Synergies and trade-offs between renewable energy expansion and biodiversity conservation - a cross-national multifactor analysis. GLOBAL CHANGE BIOLOGY BIOENERGY, 8(6), 1191-1200. doi:10.1111/gcbb.12337DOI: 10.1111/gcbb.12337
ELUM: A spatial modelling tool to predict soil greenhouse gas changes from land conversion to bioenergy in the UK (Journal article)
Pogson, M., Richards, M., Dondini, M., Jones, E. O., Hastings, A., & Smith, P. (2016). ELUM: A spatial modelling tool to predict soil greenhouse gas changes from land conversion to bioenergy in the UK. ENVIRONMENTAL MODELLING & SOFTWARE, 84, 458-466. doi:10.1016/j.envsoft.2016.07.011DOI: 10.1016/j.envsoft.2016.07.011
Simulation of Invertebrate Aggregation Shows the Importance of Stable Personality over Diversity in Consensus Decision-Making (Journal article)
Pogson, M. (2016). Simulation of Invertebrate Aggregation Shows the Importance of Stable Personality over Diversity in Consensus Decision-Making. PLOS ONE, 11(10). doi:10.1371/journal.pone.0165082DOI: 10.1371/journal.pone.0165082
Global change synergies and trade-offs between renewable energy and biodiversity (Journal article)
Santangeli, A., Toivonen, T., Pouzols, F. M., Pogson, M., Hastings, A., Smith, P., & Moilanen, A. (2016). Global change synergies and trade-offs between renewable energy and biodiversity. GLOBAL CHANGE BIOLOGY BIOENERGY, 8(5), 941-951. doi:10.1111/gcbb.12299DOI: 10.1111/gcbb.12299
Simulation of greenhouse gases following land-use change to bioenergy crops using the ECOSSE model: acomparison between site measurements and model predictions (Journal article)
Dondini, M., Richards, M. I. A., Pogson, M., McCalmont, J., Drewer, J., Marshall, R., . . . Smith, P. (2016). Simulation of greenhouse gases following land-use change to bioenergy crops using the ECOSSE model: acomparison between site measurements and model predictions. GLOBAL CHANGE BIOLOGY BIOENERGY, 8(5), 925-940. doi:10.1111/gcbb.12298DOI: 10.1111/gcbb.12298
Evaluation of the ECOSSE model for simulating soil organic carbon under <i>Miscanthus</i> and short rotation coppice-willow crops in Britain (Journal article)
Dondini, M., Richards, M., Pogson, M., Jones, E. O., Rowe, R. L., Keith, A. M., . . . Smith, P. (2016). Evaluation of the ECOSSE model for simulating soil organic carbon under <i>Miscanthus</i> and short rotation coppice-willow crops in Britain. GLOBAL CHANGE BIOLOGY BIOENERGY, 8(4), 790-804. doi:10.1111/gcbb.12286DOI: 10.1111/gcbb.12286
Mathematical Modeling of Greenhouse Gas Emissions from Agriculture for Different End Users (Chapter)
Hillier, J., Abdalla, M., Bellarby, J., Albanito, F., Datta, A., Dondini, M., . . . Smith, P. (2016). Mathematical Modeling of Greenhouse Gas Emissions from Agriculture for Different End Users. In SYNTHESIS AND MODELING OF GREENHOUSE GAS EMISSIONS AND CARBON STORAGE IN AGRICULTURAL AND FOREST SYSTEMS TO GUIDE MITIGATION AND ADAPTATION (Vol. 6, pp. 197-227). doi:10.2134/advagricsystmodel6.2013.0038DOI: 10.2134/advagricsystmodel6.2013.0038
2015
Evaluation of the ECOSSE model for simulating soil carbon under short rotation forestry energy crops in Britain (Journal article)
Dondini, M., Jones, E. O., Richards, M., Pogson, M., Rowe, R. L., Keith, A. M., . . . Smith, P. (2015). Evaluation of the ECOSSE model for simulating soil carbon under short rotation forestry energy crops in Britain. GLOBAL CHANGE BIOLOGY BIOENERGY, 7(3), 527-540. doi:10.1111/gcbb.12154DOI: 10.1111/gcbb.12154
Effect of spatial data resolution on uncertainty (Journal article)
Pogson, M., & Smith, P. (2015). Effect of spatial data resolution on uncertainty. ENVIRONMENTAL MODELLING & SOFTWARE, 63, 87-96. doi:10.1016/j.envsoft.2014.09.021DOI: 10.1016/j.envsoft.2014.09.021
2014
Can biogas digesters help to reduce deforestation in Africa? (Journal article)
Subedi, M., Matthews, R. B., Pogson, M., Abegaz, A., Balana, B. B., Oyesiku-Blakemore, J., & Smith, J. (2014). Can biogas digesters help to reduce deforestation in Africa?. BIOMASS & BIOENERGY, 70, 87-98. doi:10.1016/j.biombioe.2014.02.029DOI: 10.1016/j.biombioe.2014.02.029
Simulation of CO<sub>2</sub> and Attribution Analysis at Six European Peatland Sites Using the ECOSSE Model (Journal article)
Abdalla, M., Hastings, A., Bell, M. J., Smith, J. U., Richards, M., Nilsson, M. B., . . . Smith, P. (2014). Simulation of CO<sub>2</sub> and Attribution Analysis at Six European Peatland Sites Using the ECOSSE Model. WATER AIR AND SOIL POLLUTION, 225(11). doi:10.1007/s11270-014-2182-8DOI: 10.1007/s11270-014-2182-8
2013
How does bioenergy compare with other land-based renewable energy sources globally? (Journal article)
Pogson, M., Hastings, A., & Smith, P. (2013). How does bioenergy compare with other land-based renewable energy sources globally?. GLOBAL CHANGE BIOLOGY BIOENERGY, 5(5), 513-524. doi:10.1111/gcbb.12013DOI: 10.1111/gcbb.12013
2012
Sensitivity of crop model predictions to entire meteorological and soil input datasets highlights vulnerability to drought (Journal article)
Pogson, M., Hastings, A., & Smith, P. (2012). Sensitivity of crop model predictions to entire meteorological and soil input datasets highlights vulnerability to drought. ENVIRONMENTAL MODELLING & SOFTWARE, 29(1), 37-43. doi:10.1016/j.envsoft.2011.10.008DOI: 10.1016/j.envsoft.2011.10.008
Systems approaches in global change and biogeochemistry research (Journal article)
Smith, P., Albanito, F., Bell, M., Bellarby, J., Blagodatskiy, S., Datta, A., . . . Smith, J. (2012). Systems approaches in global change and biogeochemistry research. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 367(1586), 311-321. doi:10.1098/rstb.2011.0173DOI: 10.1098/rstb.2011.0173
Economic and greenhouse gas costs of Miscanthus supply chains in the United Kingdom (Journal article)
Wang, S., Wang, S., Hastings, A., Pogson, M., & Smith, P. (2012). Economic and greenhouse gas costs of Miscanthus supply chains in the United Kingdom. GLOBAL CHANGE BIOLOGY BIOENERGY, 4(3), 358-363. doi:10.1111/j.1757-1707.2011.01125.xDOI: 10.1111/j.1757-1707.2011.01125.x
Modelling complex biological systems using an agent-based approach (Journal article)
Holcombe, M., Adra, S., Bicak, M., Chin, S., Coakley, S., Graham, A. I., . . . Worth, D. (2012). Modelling complex biological systems using an agent-based approach. INTEGRATIVE BIOLOGY, 4(1), 53-64. doi:10.1039/c1ib00042jDOI: 10.1039/c1ib00042j
2011
Modelling <i>Miscanthus</i> yields with low resolution input data (Journal article)
Pogson, M. (2011). Modelling <i>Miscanthus</i> yields with low resolution input data. ECOLOGICAL MODELLING, 222(23-24), 3849-3853. doi:10.1016/j.ecolmodel.2011.10.008DOI: 10.1016/j.ecolmodel.2011.10.008
2010
Volumetric diffusers: Pseudorandom cylinder arrays on a periodic lattice (Journal article)
Hughes, R. J., Angus, J. A. S., Cox, T. J., Umnova, O., Gehring, G. A., Pogson, M., & Whittaker, D. M. (2010). Volumetric diffusers: Pseudorandom cylinder arrays on a periodic lattice. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 128(5), 2847-2856. doi:10.1121/1.3493455DOI: 10.1121/1.3493455
Diffusive benefits of cylinders in front of a Schroeder diffuser (Journal article)
Pogson, M. A., Whittaker, D. M., Gehring, G. A., Cox, T. J., Hughes, R. J., & Angus, J. A. S. (2010). Diffusive benefits of cylinders in front of a Schroeder diffuser. JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 128(3), 1149-1154. doi:10.1121/1.3463817DOI: 10.1121/1.3463817
Multiple Scattering Between Cylinders and a Schroeder Diffuser (Journal article)
Pogson, M. A., Whittaker, D. M., Gehring, G. A., Hughes, R. J., Angus, J. A. S., & Cox, T. J. (2010). Multiple Scattering Between Cylinders and a Schroeder Diffuser. ACTA ACUSTICA UNITED WITH ACUSTICA, 96(2), 292-299. doi:10.3813/AAA.918278DOI: 10.3813/AAA.918278
2009
Volumetric diffusion from pseudorandom periodic cylinder arrays (Conference Paper)
Hughes, R. J., Angus, J. A. S., Cox, T. J., Umnova, O., Whittaker, D. M., Gehring, G. G., & Pogson, M. (2009). Volumetric diffusion from pseudorandom periodic cylinder arrays. In 8th European Conference on Noise Control 2009, EURONOISE 2009 - Proceedings of the Institute of Acoustics Vol. 31.
2008
Volumetric diffusers inspired by percolation fractals (Conference Paper)
Cox, T. J., Hughes, R. J., Angus, J. A. S., Whittaker, D. M., Pogson, M., & Gehring, G. A. (2008). Volumetric diffusers inspired by percolation fractals. In Proceedings of the Institute of Acoustics Vol. 30 (pp. 349-356).
Introducing Spatial Information into Predictive NF-κB Modelling - An Agent-Based Approach (Journal article)
Pogson, M., Holcombe, M., Smallwood, R., & Qwarnstrom, E. (2008). Introducing Spatial Information into Predictive NF-κB Modelling - An Agent-Based Approach. PLOS ONE, 3(6). doi:10.1371/journal.pone.0002367DOI: 10.1371/journal.pone.0002367
2006
Formal agent-based modelling of intracellular chemical interactions (Journal article)
Pogson, M., Smallwood, R., Qwarnstrom, E., & Holcombe, M. (2006). Formal agent-based modelling of intracellular chemical interactions. BIOSYSTEMS, 85(1), 37-45. doi:10.1016/j.biosystems.2006.02.004DOI: 10.1016/j.biosystems.2006.02.004
