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: 2013 | 2012 | 2004
Number of items: 4.

2013

McGonagle, Fiona I. and MacMillan, Donna S. and Murray, Jane and Sneddon, Helen F. and Jamieson, Craig and Watson, Allan J. B. (2013) Development of a solvent selection guide for aldehyde-based direct reductive amination processes. Green Chemistry, 15 (5). pp. 1159-1165. ISSN 1463-9262

MacMillan, Donna and Murray, J and Sneddon, Helen F. and Jamieson, Craig and Watson, Allan (2013) Evaluation of alternative solvents in common amide coupling reactions : replacement of dichloromethane and N,N-dimethylformamide. Green Chemistry, 15 (3). pp. 596-600. ISSN 1463-9262

2012

MacMillan, Donna Stephanie and Murray, Jane and Sneddon, Helen F. and Jamieson, Craig and Watson, Allan (2012) Replacement of dichloromethane within chromatographic purification : a guide to alternative solvents. Green Chemistry, 14 (11). pp. 3016-3019. ISSN 1463-9262

2004

Ulijn, R.V. and Halling, P.J. (2004) Solid-to-solid biocatalysis: thermodynamic feasibility and energy efficiency. Green Chemistry, 6 (9). pp. 488-496. ISSN 1463-9262

This list was generated on Sun Jul 12 02:13:57 2020 BST.