1,721,229 research outputs found
Figures_Klika_Gaffney_History dependence and the continuum approximation breakdown: the impact of domain growth on Turing’s instability
No full textMathematica and Maple scripts for figure generation, created 201
Data relating to "Regularised non-uniform segments and efficient no-slip elastohydrodynamics".
No full textData relating to "Regularised non-uniform segments and efficient no-slip elastohydrodynamics", including MATLAB scripts and data to generate all figures
Data relating to "Regularized representation of bacterial hydrodynamics"
No full text.mat datafiles used to generate the figures in the publication "Regularized representation of bacterial hydrodynamics" by Kenta Ishimoto, Eamonn A. Gaffney, and Benjamin J. Walker
Data for Paper "Fixed and Distributed Gene Expression Time Delays in Reaction-Diffusion Systems"
No full textThe dataset supports the publication
Fixed and Distributed Gene Expression Time Delays in Reaction-Diffusion Systems
by
Alec Sargood, Eamonn A. Gaffney, Andrew L. Krause
and accepted for publication in the journal
Bulletin of Mathematical Biolog
Data relating to "The effects of rapid yawing on simple swimmer models and planar Jeffery’s orbits"
No full textMATLAB code and data used to generate the figures of the publication "The effects of rapid yawing on simple swimmer models and planar Jeffery’s orbits"
Data for paper "Heterogeneity Induces Spatiotemporal Oscillations in Reaction-Diffusions Systems"
No full textAll data were created using Comsol as described in the paper. The .csv files can be loaded and plotted via Matlab, and the .m files should function as runnable scripts. Each Figure has its own folder containing data sufficient to reproduce the Figure
Data relating to "Control and controllability of microswimmers by a shearing flow"
No full textData and computer codes accompanying the manuscript `Control and
controllability of microswimmers by a shearing flow' by Clement Moreau, Kenta
Ishimoto, Eamonn A. Gaffney, and Benjamin J. Walker.
Minimal MATLAB code to perform simulation of an idealised swimmer in shear
flow, including all code used to generate the various figures. Each figure can
be generated by running main.m in the corresponding directory in MATLAB, with
abbreviated figure names used. Optimal controls are computed via CasADi
(https://web.casadi.org)
Hydrodynamic Clustering of Human Sperm in Viscoelastic Fluids
Full text linkAbstract We have numerically investigated sperm clustering behaviours, modelling cells as superpositions of regularised flow singularities, coarse-grained from experimentally obtained digital microscopy of human sperm, both in watery medium and a highly viscous–weakly elastic, methylcellulose medium. We find that the cell yaw and cell pulling dynamics inhibit clustering in low viscosity media. In contrast clustering is readily visible in simulations modelling sperm within a methylcellulose medium, in line with previous observations that bovine sperm clustering is much more prominent in a rheological polyacrylamide medium. Furthermore, the fine-scale details of sperm flagellar movement substantially impact large-scale collective behaviours, further motivating the need for the digital microscopy and characterization of sperm to understand their dynamics
Computer-assisted beat-pattern analysis and the flagellar waveforms of bovine spermatozoa
Full text linkObstructed by hurdles in information extraction, handling and processing, computer-assisted sperm analysis systems have typically not considered in detail the complex flagellar waveforms of spermatozoa, despite their defining role in cell motility. Recent developments in imaging techniques and data processing have produced significantly improved methods of waveform digitization. Here, we use these improvements to demonstrate that near-complete flagellar capture is realizable on the scale of hundreds of cells, and, further, that meaningful statistical comparisons of flagellar waveforms may be readily performed with widely available tools. Representing the advent of high-fidelity computer-assisted beat-pattern analysis, we show how such a statistical approach can distinguish between samples using complex flagellar beating patterns rather than crude summary statistics. Dimensionality-reduction techniques applied to entire samples also reveal qualitatively distinct components of the beat, and a novel data-driven methodology for the generation of representative synthetic waveform data is proposed
A method for the inference of cytokine interaction networks -- Data
No full textPlease see the included file datafilesSummary.docx contained within the .zip fil
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