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All Outputs (1586)

Comparative judgement modeling to map forced marriage at local levels (2024)
Journal Article
Seymour, R., Nyarko-Agyei, A., Mccabe, H., Severn, K., Sirl, D., Kypraios, T., & Taylor, A. (in press). Comparative judgement modeling to map forced marriage at local levels. Annals of Applied Statistics,

Forcing someone into marriage against their will is a violation of their human rights. In 2021, the county of Nottinghamshire, UK, launched a strategy to tackle forced marriage and violence against women and girls. We set out to map the risk of force... Read More about Comparative judgement modeling to map forced marriage at local levels.

A Shape-Newton method for free-boundary problems subject to the Bernoulli boundary condition (2024)
Journal Article
Fan, Y., Billingham, J., & van der Zee, K. (in press). A Shape-Newton method for free-boundary problems subject to the Bernoulli boundary condition. SIAM Journal on Scientific Computing,


We develop a shape-Newton method for solving generic free-boundary problems where one of the free-boundary conditions is governed by the nonlinear Bernoulli equation. The method is a Newton-like scheme that employs shape derivatives of the governin... Read More about A Shape-Newton method for free-boundary problems subject to the Bernoulli boundary condition.

Topo-Geometric Analysis of Variability in Point Clouds using Persistence Landscapes (2024)
Journal Article
Matuk, J., Kurtek, S., & Bharath, K. (in press). Topo-Geometric Analysis of Variability in Point Clouds using Persistence Landscapes. IEEE Transactions on Pattern Analysis and Machine Intelligence,

Topological data analysis provides a set of tools to uncover low-dimensional structure in noisy point clouds. Prominent amongst the tools is persistence homology, which summarizes birth-death times of homological features using data objects known as... Read More about Topo-Geometric Analysis of Variability in Point Clouds using Persistence Landscapes.

MPeat2D - a fully coupled mechanical-ecohydrological model of peatland development in two dimensions (2024)
Journal Article
Mahdiyasa, A. W., Large, D. J., Icardi, M., & Muljadi, B. P. (2024). MPeat2D - a fully coupled mechanical-ecohydrological model of peatland development in two dimensions. Earth Surface Dynamics, 12(4), 929-952. https://doi.org/10.5194/esurf-12-929-2024

Higher-dimensional models of peatland development are required to analyse the influence of spatial heterogeneity and complex feedback mechanisms on peatland behaviour. However, the current models exclude the mechanical process that leads to uncertain... Read More about MPeat2D - a fully coupled mechanical-ecohydrological model of peatland development in two dimensions.

Geometry of Spin(10) symmetry breaking (2024)
Journal Article
Krasnov, K. (2024). Geometry of Spin(10) symmetry breaking. Journal of Mathematical Physics, 65(8), Article 082302. https://doi.org/10.1063/5.0210073

We provide a new characterisation of the Standard Model gauge group GSM as a subgroup of Spin(10). The new description of GSM relies on the geometry of pure spinors. We show that GSM ⊂ Spin(10) is the group that stabilises a pure spinor Ψ1 and projec... Read More about Geometry of Spin(10) symmetry breaking.

The Conversationality Index: A quantitative assessment of conversation in social media interactions (2024)
Journal Article
Cotgrove, L., Thul, R., & Conklin, K. (in press). The Conversationality Index: A quantitative assessment of conversation in social media interactions. Internet Pragmatics,

There has been an explosion in social media use, with Statista estimating that worldwide, Facebook has over 3 billion regular active users, YouTube 2.5 billion, and Instagram and WhatsApp 2 billion. While social media allows one to connect and intera... Read More about The Conversationality Index: A quantitative assessment of conversation in social media interactions.

Deep NURBS—admissible physics-informed neural networks (2024)
Journal Article
Saidaoui, H., Espath, L., & Tempone, R. (2024). Deep NURBS—admissible physics-informed neural networks. Engineering with Computers, https://doi.org/10.1007/s00366-024-02040-9

In this study, we propose a new numerical scheme for physics-informed neural networks (PINNs) that enables precise and inexpensive solutions for partial differential equations (PDEs) in case of arbitrary geometries while strongly enforcing Dirichlet... Read More about Deep NURBS—admissible physics-informed neural networks.

Nonassociative cyclic algebras and the semiassociative Brauer monoid (2024)
Journal Article
Pumplün, S. (2024). Nonassociative cyclic algebras and the semiassociative Brauer monoid. Rendiconti del Circolo Matematico di Palermo, https://doi.org/10.1007/s12215-024-01105-4

We look at classes of semiassociative algebras, with an emphasis on those that canonically generalize associative (generalized) cyclic algebras, and at their behaviour in the semiassociative Brauer monoid defined by Blachar, Haile, Matzri, Rein, an... Read More about Nonassociative cyclic algebras and the semiassociative Brauer monoid.

How to correctly fit an SIR model to data from an SEIR model? (2024)
Journal Article
KhudaBukhsh, W. R., & Rempała, G. A. (2024). How to correctly fit an SIR model to data from an SEIR model?. Mathematical Biosciences, 375, Article 109265. https://doi.org/10.1016/j.mbs.2024.109265

In epidemiology, realistic disease dynamics often require Susceptible-Exposed-Infected-Recovered (SEIR)-like models because they account for incubation periods before individuals become infectious. However, for the sake of analytica... Read More about How to correctly fit an SIR model to data from an SEIR model?.

Lubrication flow in grinding (2024)
Journal Article
Crowson, Z., Billingham, J., & Houston, P. (2024). Lubrication flow in grinding. Journal of Engineering Mathematics, 147(1), Article 12. https://doi.org/10.1007/s10665-024-10383-x

In the machining process known as grinding, fluid is applied to regulate the temperature of the workpiece and reduce the risk of expensive thermal damage. The factors that influence the transport of this grinding fluid are not well understood; howeve... Read More about Lubrication flow in grinding.

Optimal experimental designs for characterising ion channel gating by filling the phase-voltage space of model dynamics (2024)
Journal Article
Mirams, G. R., Clerx, M., Whittaker, D. G., & Lei, C. L. (2024). Optimal experimental designs for characterising ion channel gating by filling the phase-voltage space of model dynamics. Mathematics in Medical and Life Sciences, 1(1), Article 2375494. https://doi.org/10.1080/29937574.2024.2375494

Voltage-clamp waveforms are imposed in the patch-clamp electrophysiology technique to provoke ion currents, the particular waveform that is used is known as the “voltage-clamp protocol”. Designing protocols to probe and quantify how gating for a part... Read More about Optimal experimental designs for characterising ion channel gating by filling the phase-voltage space of model dynamics.

Optimal experimental designs for characterising ion channel gating by filling the phase-voltage space of model dynamics (2024)
Journal Article
Mirams, G. R., Clerx, M., Whittaker, D. G., & Lei, C. L. (2024). Optimal experimental designs for characterising ion channel gating by filling the phase-voltage space of model dynamics. Mathematics in Medical and Life Sciences, 2024(1), Article 2375494. https://doi.org/10.1080/29937574.2024.2375494

Voltage-clamp waveforms are imposed in the patch-clamp electrophysiology technique to provoke ion currents, the particular waveform that is used is known as the “voltage-clamp protocol”. Designing protocols to probe and quantify how gating for a part... Read More about Optimal experimental designs for characterising ion channel gating by filling the phase-voltage space of model dynamics.

One-dimensional components in the K-moduli of smooth Fano 3-folds (2024)
Journal Article
Abban, H., Cheltsov, I., Denisova, E., Etxabarri Alberdi, E., Kaloghiros, A.-S., Jiao, D., Martinez Garcia, J., & Papazachariou, T. (in press). One-dimensional components in the K-moduli of smooth Fano 3-folds. Journal of Algebraic Geometry,

Bayesian inversion for in-situ thermal characterisation of walls in the presence of thermal anomalies (2024)
Journal Article
Iglesias, M., Li, X., Sovetova, M., & Wu, Y. (2024). Bayesian inversion for in-situ thermal characterisation of walls in the presence of thermal anomalies. Energy and Buildings, 319, Article 114558. https://doi.org/10.1016/j.enbuild.2024.114558

This paper develops a Bayesian inverse modelling framework for the in-situ characterisation of walls' thermal performance in the presence of thermal anomalies subject to uncertainty. For any given wall, the proposed framework uses in-situ contact mea... Read More about Bayesian inversion for in-situ thermal characterisation of walls in the presence of thermal anomalies.

Evaluating a model of best practice in primary care led post-diagnostic dementia care: feasibility and acceptability findings from the PriDem study (2024)
Journal Article
Griffiths, S., Spencer, E., Flanagan, K., O'Keeffe, A., Hunter, R., Wiegand, M., D'Andrea, F., Benjamin, L., Poole, M., Hagan, A. J., Brar, M., Wilcock, J., Walters, K. R., Robinson, L., & Rait, G. (2024). Evaluating a model of best practice in primary care led post-diagnostic dementia care: feasibility and acceptability findings from the PriDem study. BMJ Open, 14(7), Article e083175. https://doi.org/10.1136/bmjopen-2023-083175

Objectives: To evaluate the feasibility and acceptability of a primary care-based intervention for improving post-diagnostic dementia care and support (PriDem), and implementation study procedures. Design: A non-randomised, mixed methods, feasibility... Read More about Evaluating a model of best practice in primary care led post-diagnostic dementia care: feasibility and acceptability findings from the PriDem study.

Phase and amplitude responses for delay equations using harmonic balance (2024)
Journal Article
Nicks, R., Allen, R., & Coombes, S. (2024). Phase and amplitude responses for delay equations using harmonic balance. Physical Review E, 110(1), Article L012202. https://doi.org/10.1103/PhysRevE.110.L012202

Robust delay induced oscillations, common in nature, are often modeled by delay-differential equations (DDEs). Motivated by the success of phase-amplitude reductions for ordinary differential equations with limit cycle oscillations, there is now a gr... Read More about Phase and amplitude responses for delay equations using harmonic balance.