Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

Explore some of the Open Access research from Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Jump to: 2012 | 2008
Number of items: 2.

2012

Cipiccia, Silvia and Wiggins, Mark and Maneuski, Dzmitry and Brunetti, Enrico and Vieux, Gregory and Yang, Xue and Issac, Riju and Welsh, Gregor H. and Anania, Maria Pia and Islam, Mohammad and Ersfeld, Bernhard and Montgomery, Rachel and Smith, Gary and Hoek, Matthias and Hamilton, David and Lemos, Nuno R. C. and Symes, Dan and Rajeev, Pattathil P. and Shea, Val O. and Dias, João M. and Jaroszynski, Dino (2012) Compton scattering for single-shot spectroscopic detection of ultra-fast, high flux, broad energy range X-rays using Timepix. Journal of Instrumentation. (In Press)

2008

McGarry, A. and Dixon, M. T. and Greig, R. J and Hamilton, D. and Sexton, S. and Smart, S. (2008) Head shape measurement standards and cranial orthoses in the treatment of infants with deformational plagiocephaly: a systematic review. Developmental Medicine and Child Neurology, 50 (8). pp. 568-576. ISSN 0012-1622

This list was generated on Wed Jul 15 10:37:49 2020 BST.