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: 2018 | 2017 | 2016
Number of items: 3.

2018

Cheng, Zhe A. and Alba-Perez, Andres and Gonzalez-Garcia, Cristina and Donnelly, Hannah and Llopis-Hernandez, Virginia and Jayawarna, Vineetha and Childs, Peter and Shields, David W. and Cantini, Marco and Ruiz-Cantu, Laura and Reid, Andrew and Windmill, James F. C. and Addison, Elena S. and Corr, Sandra and Marshall, William G. and Dalby, Matthew J. and Salmeron-Sanchez, Manuel (2018) Nanoscale coatings for ultralow dose BMP-2-driven regeneration of critical-sized bone defects. Advanced Science. 1800361. ISSN 2198-3844

2017

Zhakeyev, Adilet and Wang, Panfeng and Zhang, Li and Shu, Wenmiao and Wang, Huizhi and Xuan, Jin (2017) Additive manufacturing : unlocking the evolution of energy materials. Advanced Science. ISSN 2198-3844

2016

Nussbaumer, Martin G. and Duskey, Jason T. and Rother, Martin and Renggli, Kasper and Chami, Mohamed and Bruns, Nico (2016) Chaperonin–dendrimer conjugates for siRNA delivery. Advanced Science, 3 (10). 1600046. ISSN 2198-3844

This list was generated on Mon Jul 13 17:58:20 2020 BST.