Junior Applied Mathematics Seminar

Tue, 04/05/2010
13:15
Guido Klingbeil (Oxford) Junior Applied Mathematics Seminar Add to calendar DH 1st floor SR
Graphics processing units (GPU) are well suited to decrease the computational in- tensity of stochastic simulation of chemical reaction systems. We compare Gillespie’s Direct Method and Gibson-Bruck’s Next Reaction Method on GPUs. The gain of the GPU implementation of these algorithms is approximately 120 times faster than on a CPU. Furthermore our implementation is integrated into the Systems Biology Toolbox for Matlab and acts as a direct replacement of its Matlab based implementation.
Tue, 01/06/2010
13:15
Sara-Jane Dunn (Oxford) Junior Applied Mathematics Seminar Add to calendar DH 1st floor SR

Colorectal cancer (CRC) is one of the leading causes of cancer-related death worldwide, demanding a response from scientists and clinicians to understand its aetiology and develop effective treatment. CRC is thought to originate via genetic alterations that cause disruption to the cellular dynamics of the crypts of Lieberkűhn, test-tube shaped glands located in both the small and large intestine, which are lined with a monolayer of epithelial cells. It is believed that during colorectal carcinogenesis, dysplastic crypts accumulate mutations that destabilise cell-cell contacts, resulting in crypt buckling and fission. Once weakened, the corrupted structure allows mutated cells to migrate to neighbouring crypts, to break through to the underlying tissue and so aid the growth and malignancy of a tumour. To provide further insight into the tissue-level effects of these genetic mutations, a multi-scale model of the crypt with a realistic, deformable geometry is required. This talk concerns the progress and development of such a model, and its usefulness as a predictive tool to further the understanding of interactions across spatial scales within the context of colorectal cancer.

Tue, 15/06/2010
13:15
Cara Morgan (Oxford) Junior Applied Mathematics Seminar Add to calendar DH 3rd floor SR

Following work done by the 'Oxford Spies' we uncover more secrets of 'surface-active Agents'. In modern-day applications we refer to these agents as surfactants, which are now extensively used in industrial, chemical, biological and domestic applications. Our work focuses on the dynamic behaviour of surfactant and polymer-surfactant mixtures.

In this talk we propose a mathematical model that incorporates the effects of diffusion, advection and reactions to describe the dynamic behaviour of such systems and apply the model to the over-flowing-cylinder experiment (OFC). We solve the governing equations of the model numerically and, by exploiting large parameters in the model, obtain analytical asymptotic solutions for the concentrations of the bulk species in the system. Thus, these solutions uncover secrets of the 'surface-active Agents' and provide an important insight into the system behaviour, predicting the regimes under which we observe phase transitions of the species in the system. Finally, we suggest how our models can be extended to uncover the secrets of more complex systems in the field.

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