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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Group by: Publication Date | Item type | No Grouping
Jump to: 2020 | 2019 | 2018 | 2016
Number of items: 8.

2020

Sala, Alexandra and Spalding, Katie E. and Ashton, Katharine M. and Board, Ruth and Butler, Holly J. and Dawson, Timothy P. and Harris, Dean A. and Hughes, Caryn S. and Jenkins, Cerys A. and Jenkinson, Michael D. and Palmer, David S. and Smith, Benjamin R. and Thornton, Catherine A. and Baker, Matthew J. (2020) Rapid analysis of disease state in liquid human serum combining infrared spectroscopy and "digital drying". Journal of Biophotonics. e202000118. ISSN 1864-063X

2019

Cameron, James M. and Butler, Holly J. and Smith, Benjamin R. and Hegarty, Mark G. and Jenkinson, Michael D. and Syed, Khaja and Brennan, Paul M. and Ashton, Katherine and Dawson, Timothy and Palmer, David S. and Baker, Matthew J. (2019) Developing infrared spectroscopic detection for stratifying brain tumour patients : glioblastoma multiforme vs. lymphoma. Analyst, 144 (22). pp. 6736-6750. ISSN 0003-2654

Butler, Holly J. and Brennan, Paul M. and Cameron, James M. and Finlayson, Duncan and Hegarty, Mark G. and Jenkinson, Michael D. and Palmer, David S. and Smith, Benjamin R. and Baker, Matthew J. (2019) Development of high-throughput ATR-FTIR technology for rapid triage of brain cancer. Nature Communications, 10. 4501. ISSN 2041-1723

2018

Butler, Holly J. and Smith, Benjamin R. and Fritzsch, Robby and Radhakrishnan, Pretheepan and Palmer, David S. and Baker, Matthew J. (2018) Optimised spectral pre-processing for discrimination of biofluids via ATR-FTIR spectroscopy. Analyst. ISSN 0003-2654

Gaca-Zając, Katarzyna Z. and Smith, Benjamin R. and Nordon, Alison and Fletcher, Ashleigh J. and Johnston, Karen and Sefcik, Jan (2018) Investigation of IR and Raman spectra of species present in formaldehyde-water-methanol systems. Vibrational Spectroscopy, 97. pp. 44-54. ISSN 0924-2031

Smith, Benjamin R. and Baker, Matthew J. and Palmer, David S. (2018) PRFFECT : a versatile tool for spectroscopists. Chemometrics and intelligent laboratory systems. ISSN 0169-7439

2016

Pelizza, F. and Smith, B. and Johnston, K. (2016) A van der Waals density functional theory study of poly(vinylidene difluoride) crystalline phases. European Physical Journal - Special Topics, 225 (8). pp. 1733-1742. ISSN 1951-6355

Smith, Benjamin Richard and Ashton, Katherine M. and Brodbelt, Andrew and Dawson, Timothy and Jenkinson, Michael D. and Hunt, Neil T. and Palmer, David S. and Baker, Matthew J. (2016) Combining random forest and 2D correlation analysis to identify serum spectral signatures for neuro-oncology. Analyst, 141. pp. 3668-3678. ISSN 0003-2654

This list was generated on Fri Jul 3 12:22:45 2020 BST.