Skip to main content

Research Repository

Advanced Search

All Outputs (97)

Gibberellin and abscisic acid transporters facilitate endodermal suberin formation in Arabidopsis (2023)
Journal Article
Binenbaum, J., Wulff, N., Camut, L., Kiradjiev, K., Anfang, M., Tal, I., …Shani, E. (2023). Gibberellin and abscisic acid transporters facilitate endodermal suberin formation in Arabidopsis. Nature Plants, 9, 785-802. https://doi.org/10.1038/s41477-023-01391-3

The plant hormone gibberellin (GA) regulates multiple developmental processes. It accumulates in the root elongating endodermis, but how it moves into this cell file and the significance of this accumulation are unclear. Here we identify three NITRAT... Read More about Gibberellin and abscisic acid transporters facilitate endodermal suberin formation in Arabidopsis.

A multistate modeling approach to investigate long-term effects of claw horn disruption lesions and early lesion development in dairy cows (2023)
Journal Article
Thomas, M., Green, M., Kypraios, T., & Kaler, J. (2023). A multistate modeling approach to investigate long-term effects of claw horn disruption lesions and early lesion development in dairy cows. Journal of Dairy Science, https://doi.org/10.3168/jds.2021-21749

Claw horn disruption lesions (CHDL) are a leading cause of lameness in dairy cattle, and the development, effect, and pathology of these lesions remains an open area of interest within dairy cattle health. Current literature typically attempts to mea... Read More about A multistate modeling approach to investigate long-term effects of claw horn disruption lesions and early lesion development in dairy cows.

Tetrahedral Frame Fields via Constrained Third-Order Symmetric Tensors (2023)
Journal Article
Golovaty, D., Kurzke, M., Montero, J. A., & Spirn, D. (2023). Tetrahedral Frame Fields via Constrained Third-Order Symmetric Tensors. Journal of Nonlinear Science, 33(3), Article 48. https://doi.org/10.1007/s00332-023-09898-x

Tetrahedral frame fields have applications to certain classes of nematic liquid crystals and frustrated media. We consider the problem of constructing a tetrahedral frame field in three-dimensional domains in which the boundary normal vector is inclu... Read More about Tetrahedral Frame Fields via Constrained Third-Order Symmetric Tensors.

COVID-19 dynamics in an Ohio prison (2023)
Journal Article
KhudaBukhsh, W. R., Khalsa, S. K., Kenah, E., Rempała, G. A., & Tien, J. H. (2023). COVID-19 dynamics in an Ohio prison. Frontiers in Public Health, 11, Article 1087698. https://doi.org/10.3389/fpubh.2023.1087698

Incarcerated individuals are a highly vulnerable population for infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Understanding the transmission of respiratory infections within prisons and between prisons and surrounding c... Read More about COVID-19 dynamics in an Ohio prison.

Torsion Motives (2023)
Journal Article
Vishik, A. (2023). Torsion Motives. International Mathematics Research Notices, 2023(23), 20252–20295. https://doi.org/10.1093/imrn/rnad056

In this paper we study Chow motives whose identity map is killed by a natural number. Examples of such objects were constructed by Gorchinskiy-Orlov [10]. We introduce various invariants of torsion motives, in particular, the p-level. We show that th... Read More about Torsion Motives.

Concentration Inequalities for Output Statistics of Quantum Markov Processes (2023)
Journal Article
Girotti, F., Garrahan, J. P., & Guţă, M. (2023). Concentration Inequalities for Output Statistics of Quantum Markov Processes. Annales Henri Poincaré, https://doi.org/10.1007/s00023-023-01286-1

We derive new concentration bounds for time averages of measurement outcomes in quantum Markov processes. This generalizes well-known bounds for classical Markov chains, which provide constraints on finite-time fluctuations of time-additive quantitie... Read More about Concentration Inequalities for Output Statistics of Quantum Markov Processes.

Corrigendum to “Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty” [Comput. Methods Appl. Mech. Engrg. 399 (2022) 115320] (Computer Methods in Applied Mechanics and Engineering (2022) 399, (S0045782522004194), (10.1016/j.cma.2022.115320)) (2023)
Journal Article
Bartuska, A., Espath, L., & Tempone, R. (2023). Corrigendum to “Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty” [Comput. Methods Appl. Mech. Engrg. 399 (2022) 115320] (Computer Methods in Applied Mechanics and Engineering (2022) 399, (S0045782522004194), (10.1016/j.cma.2022.115320)). Computer Methods in Applied Mechanics and Engineering, 410, Article 115995. https://doi.org/10.1016/j.cma.2023.115995

The authors regret that because of the condensed notation in Eq. (21), we failed to keep track of the dependence of the correction term [Formula presented] on the parameters of interest [Formula presented] entering through [Formula presented] in Sect... Read More about Corrigendum to “Small-noise approximation for Bayesian optimal experimental design with nuisance uncertainty” [Comput. Methods Appl. Mech. Engrg. 399 (2022) 115320] (Computer Methods in Applied Mechanics and Engineering (2022) 399, (S0045782522004194), (10.1016/j.cma.2022.115320)).

The size of a Markovian SIR epidemic given only removal data (2023)
Journal Article
Ball, F., & Neal, P. (2023). The size of a Markovian SIR epidemic given only removal data. Advances in Applied Probability, 55(3), 895-926. https://doi.org/10.1017/apr.2022.58

During an epidemic outbreak, typically only partial information about the outbreak is known. A common scenario is that the infection times of individuals are unknown, but individuals, on displaying symptoms, are identified as infectious and removed f... Read More about The size of a Markovian SIR epidemic given only removal data.

Asymptotic persistence time formulae for multitype birth-death processes (2023)
Journal Article
Ball, F. G., & Clancy, D. (2023). Asymptotic persistence time formulae for multitype birth-death processes. Journal of Applied Probability, 60(3), 895-920. https://doi.org/10.1017/jpr.2022.102

We consider a class of processes describing a population consisting of k types of individuals. The process is almost surely absorbed at the origin within finite time, and we study the expected time taken for such extinction to occur. We derive simple... Read More about Asymptotic persistence time formulae for multitype birth-death processes.

Importance of modelling hERG binding in predicting drug-induced action potential prolongations for drug safety assessment (2023)
Journal Article
Farm, H. J., Clerx, M., Cooper, F., Polonchuk, L., Wang, K., Gavaghan, D. J., & Lei, C. L. (2023). Importance of modelling hERG binding in predicting drug-induced action potential prolongations for drug safety assessment. Frontiers in Pharmacology, 14, Article 1110555. https://doi.org/10.3389/fphar.2023.1110555

Reduction of the rapid delayed rectifier potassium current (IKr) via drug binding to the human Ether-à-go-go-Related Gene (hERG) channel is a well recognised mechanism that can contribute to an increased risk of Torsades de Pointes. Mathematical mode... Read More about Importance of modelling hERG binding in predicting drug-induced action potential prolongations for drug safety assessment.

The effects of chemical and mechanical interactions on the thermodynamic pressure for mineral solid solutions (2023)
Journal Article
Clavijo, S. P., Espath, L., & Calo, V. M. (2023). The effects of chemical and mechanical interactions on the thermodynamic pressure for mineral solid solutions. Continuum Mechanics and Thermodynamics, 35, 1821-1840. https://doi.org/10.1007/s00161-023-01200-4

We use a coupled thermodynamically consistent framework to model reactive chemo-mechanical responses of solid solutions. Specifically, we focus on chemically active solid solutions that are subject to mechanical effects due to heterogeneous stress di... Read More about The effects of chemical and mechanical interactions on the thermodynamic pressure for mineral solid solutions.

Burgers’ equation in the complex plane (2023)
Journal Article
VandenHeuvel, D. J., Lustri, C. J., King, J. R., Turner, I. W., & McCue, S. W. (2023). Burgers’ equation in the complex plane. Physica D: Nonlinear Phenomena, 448, Article 133686. https://doi.org/10.1016/j.physd.2023.133686

Burgers' equation is a well-studied model in applied mathematics with connections to the Navier-Stokes equations in one spatial direction and traffic flow, for example. Following on from previous work, we analyse solutions to Burgers' equation in the... Read More about Burgers’ equation in the complex plane.

Dynamics of long bubbles propagating through cylindrical micro-pin fin arrays (2023)
Journal Article
El Mellas, I., Municchi, F., Icardi, M., & Magnini, M. (2023). Dynamics of long bubbles propagating through cylindrical micro-pin fin arrays. International Journal of Multiphase Flow, 163, 104443. https://doi.org/10.1016/j.ijmultiphaseflow.2023.104443

The dynamics of two-phase flows confined within complex and non-straight geometries is of interest for a variety of applications such as micro-pin fin evaporators and flow in unsaturated porous media. Despite the propagation of bubbles in straight ch... Read More about Dynamics of long bubbles propagating through cylindrical micro-pin fin arrays.

Next generation neural population models (2023)
Journal Article
Coombes, S. (2023). Next generation neural population models. Frontiers in Applied Mathematics and Statistics, 9, Article 112822. https://doi.org/10.3389/fams.2023.1128224

Low-dimensional neural mass models are often invoked to model the coarse-grained activity of large populations of neurons and synapses and have been used to help understand the coordination of large scale brain rhythms. However, they are phenomenolog... Read More about Next generation neural population models.

Autocorrelated measurement processes and inference for ordinary differential equation models of biological systems (2023)
Journal Article
Lambert, B., Lei, C. L., Robinson, M., Clerx, M., Creswell, R., Ghosh, S., …Gavaghan, D. J. (2023). Autocorrelated measurement processes and inference for ordinary differential equation models of biological systems. Journal of the Royal Society. Interface, 20(199), 20220725. https://doi.org/10.1098/rsif.2022.0725

Ordinary differential equation models are used to describe dynamic processes across biology. To perform likelihood-based parameter inference on these models, it is necessary to specify a statistical process representing the contribution of factors no... Read More about Autocorrelated measurement processes and inference for ordinary differential equation models of biological systems.

Consensus-based optimization via jump-diffusion stochastic differential equations (2023)
Journal Article
Kalise, D., Sharma, A., & Tretyakov, M. V. (2023). Consensus-based optimization via jump-diffusion stochastic differential equations. Mathematical Models and Methods in Applied Sciences, 33(02), 289-339. https://doi.org/10.1142/S0218202523500082

We introduce a new consensus-based optimization (CBO) method where an interacting particle system is driven by jump-diffusion stochastic differential equations (SDEs). We study well-posedness of the particle system as well as of its mean-field limit.... Read More about Consensus-based optimization via jump-diffusion stochastic differential equations.

A unified framework for Navier-Stokes Cahn-Hilliard models with non-matching densities (2023)
Journal Article
ten Eikelder, M. F. P., Van Der Zee, K. G., Akkerman, I., & Schillinger, D. (2023). A unified framework for Navier-Stokes Cahn-Hilliard models with non-matching densities. Mathematical Models and Methods in Applied Sciences, 33(01), 175-221. https://doi.org/10.1142/S0218202523500069

Over the last decades, many diffuse-interface Navier-Stokes Cahn-Hilliard (NSCH) models with non-matching densities have appeared in the literature. These models claim to describe the same physical phenomena, yet they are distinct from one another. T... Read More about A unified framework for Navier-Stokes Cahn-Hilliard models with non-matching densities.

Strictification theorems for the homotopy time-slice axiom (2023)
Journal Article
Benini, M., Carmona, V., & Schenkel, A. (2023). Strictification theorems for the homotopy time-slice axiom. Letters in Mathematical Physics, 113(1), Article 20. https://doi.org/10.1007/s11005-023-01647-1

It is proven that the homotopy time-slice axiom for many types of algebraic quantum field theories (AQFTs) taking values in chain complexes can be strictified. This includes the cases of Haag–Kastler-type AQFTs on a fixed globally hyperbolic Lorentzi... Read More about Strictification theorems for the homotopy time-slice axiom.

A rational approach to beam path planning in additive manufacturing: the inverse heat placement problem (2023)
Journal Article
Yang, Y., Billingham, J., Axinte, D., & Liao, Z. (2023). A rational approach to beam path planning in additive manufacturing: the inverse heat placement problem. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 479(2270), Article 20220386. https://doi.org/10.1098/rspa.2022.0386

High demand for components with complex geometries at macro and micro levels drives the development of additive manufacturing (AM). However, the scientific basis for designing energy beam scanning strategies (e.g. beam scanning speed, beam path, beam... Read More about A rational approach to beam path planning in additive manufacturing: the inverse heat placement problem.