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Evolution of Field Line Helicity in Magnetic Relaxation (2021)
Journal Article
Yeates, A., Russell, A., & Hornig, G. (2021). Evolution of Field Line Helicity in Magnetic Relaxation. Physics of Plasmas, 28(8), Article 082904. https://doi.org/10.1063/5.0059756

Plasma relaxation in the presence of an initially braided magnetic field can lead to self-organization into relaxed states that retain non-trivial magnetic structure. These relaxed states may be in conflict with the linear force-free fields predicted... Read More about Evolution of Field Line Helicity in Magnetic Relaxation.

Survival Signatures for System Reliability (2021)
Book Chapter
Coolen, F. P., & Coolen‐Maturi, T. (2022). Survival Signatures for System Reliability. In Wiley StatsRef: Statistics Reference Online. Wiley. https://doi.org/10.1002/9781118445112.stat08331

In system reliability, the structure function models functioning of a system for given states of its components. The survival signature provides a useful summary of the structure function to aid quantification of system reliability with components of... Read More about Survival Signatures for System Reliability.

Characterisation of homotopy ribbon discs (2021)
Journal Article
Conway, A., & Powell, M. (2021). Characterisation of homotopy ribbon discs. Advances in Mathematics, 391, Article 107960. https://doi.org/10.1016/j.aim.2021.107960

Let Γ be either the infinite cyclic group Z or the Baumslag-Solitar group Zn Z[ 1 2 ]. Let K be a slice knot admitting a slice disc D in the 4-ball whose exterior has fundamental group Γ. We classify the Γ-homotopy ribbon slice discs for K up to topo... Read More about Characterisation of homotopy ribbon discs.

The survival signature for quantifying system reliability: an introductory overview from practical perspective (2021)
Book Chapter
Coolen, F., & Coolen-Maturi, T. (2021). The survival signature for quantifying system reliability: an introductory overview from practical perspective. In C. van Gulijk, & E. Zaitseva (Eds.), Reliability Engineering and Computational Intelligence (23-37). Springer Verlag. https://doi.org/10.1007/978-3-030-74556-1_2

The structure function describes the functioning of a system dependent on the states of its components, and is central to theory of system reliability. The survival signature is a summary of the structure function which is sufficient to derive the sy... Read More about The survival signature for quantifying system reliability: an introductory overview from practical perspective.

Conformal manifolds and 3d mirrors of Argyres-Douglas theories (2021)
Journal Article
Carta, F., Giacomelli, S., Mekareeya, N., & Mininno, A. (2021). Conformal manifolds and 3d mirrors of Argyres-Douglas theories. Journal of High Energy Physics, 2021(8), https://doi.org/10.1007/jhep08%282021%29015

Argyres-Douglas theories constitute an important class of superconformal field theories in 4d. The main focus of this paper is on two infinite families of such theories, known as Dbp(SO(2N)) and (Am, Dn). We analyze in depth their conformal manifolds... Read More about Conformal manifolds and 3d mirrors of Argyres-Douglas theories.

Angular asymptotics for random walks (2021)
Book Chapter
López Hernández, A., & Wade, A. R. (2021). Angular asymptotics for random walks. In L. Chaumont, & A. E. Kyprianou (Eds.), A Lifetime of Excursions Through Random Walks and Lévy Processes (315-342). Springer Verlag. https://doi.org/10.1007/978-3-030-83309-1_17

We study the set of directions asymptotically explored by a spatially homogeneous random walk in d-dimensional Euclidean space. We survey some pertinent results of Kesten and Erickson, make some further observations, and present some examples. We als... Read More about Angular asymptotics for random walks.

Seiberg-like dualities for orthogonal and symplectic 3d $$ \mathcal{N} $$ = 2 gauge theories with boundaries (2021)
Journal Article
Okazaki, T., & Smith, D. J. (2021). Seiberg-like dualities for orthogonal and symplectic 3d $$ \mathcal{N} $$ = 2 gauge theories with boundaries. Journal of High Energy Physics, 2021(7), Article 231. https://doi.org/10.1007/jhep07%282021%29231

We propose dualities of N = (0, 2) supersymmetric boundary conditions for 3d N = 2 gauge theories with orthogonal and symplectic gauge groups. We show that the boundary ’t Hooft anomalies and half-indices perfectly match for each pair of the proposed... Read More about Seiberg-like dualities for orthogonal and symplectic 3d $$ \mathcal{N} $$ = 2 gauge theories with boundaries.

Data Driven Update of Load Forecasts in Smart Power Systems using Fuzzy Fusion of Learning GPs (2021)
Presentation / Conference Contribution
Alamaniotis, M., Martinez-Molina, A., & Karagiannis, G. (2021). Data Driven Update of Load Forecasts in Smart Power Systems using Fuzzy Fusion of Learning GPs. . https://doi.org/10.1109/powertech46648.2021.9494757

One of the pillars in developing smart power systems is the use of load forecasting methods. In particular load forecasting accommodates decision making pertained to the operation of power market. In this paper, a new method for real-time updating ve... Read More about Data Driven Update of Load Forecasts in Smart Power Systems using Fuzzy Fusion of Learning GPs.

Upper bounds for Steklov eigenvalues of submanifolds in Euclidean space via the intersection index (2021)
Journal Article
Colbois, B., & Gittins, K. (2021). Upper bounds for Steklov eigenvalues of submanifolds in Euclidean space via the intersection index. Differential Geometry and its Applications, 78, Article 101777. https://doi.org/10.1016/j.difgeo.2021.101777

We obtain upper bounds for the Steklov eigenvalues σk(M)of a smooth, compact, n-dimensional submanifold M of Euclidean space with boundary Σ that involve the intersection indices of M and of Σ. One of our main results is an explicit upper bound in te... Read More about Upper bounds for Steklov eigenvalues of submanifolds in Euclidean space via the intersection index.

Conformal welding for critical Liouville quantum gravity (2021)
Journal Article
Holden, N., & Powell, E. (2021). Conformal welding for critical Liouville quantum gravity. Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 57(3), 1229-1254. https://doi.org/10.1214/20-aihp1116

Consider two critical Liouville quantum gravity surfaces (i.e., γ-LQG for γ = 2), each with the topology of H and with infinite boundary length. We prove that there a.s. exists a conformal welding of the two surfaces, when the boundaries are identifi... Read More about Conformal welding for critical Liouville quantum gravity.

Bayesian Adaptive Selection Under Prior Ignorance (2021)
Presentation / Conference Contribution
Basu, T., Troffaes, M. C., & Einbeck, J. (2021). Bayesian Adaptive Selection Under Prior Ignorance. In M. Vasile, & D. Quagliarella (Eds.), . https://doi.org/10.1007/978-3-030-80542-5_22

Bayesian variable selection is one of the popular topics in modern day statistics. It is an important tool for high dimensional statistics, where the number of model parameters is greater than the number of observations. Several Bayesian models have... Read More about Bayesian Adaptive Selection Under Prior Ignorance.

Estimating Exposure Fraction from Radiation Biomarkers: A Comparison of Frequentist and Bayesian Approaches (2021)
Book Chapter
Errington, A., Einbeck, J., & Cumming, J. (2021). Estimating Exposure Fraction from Radiation Biomarkers: A Comparison of Frequentist and Bayesian Approaches. In M. Vasile, & D. Quagliarella (Eds.), Advances in Uncertainty Quantification and Optimization Under Uncertainty with Aerospace Applications (393-405). Springer Verlag. https://doi.org/10.1007/978-3-030-80542-5_24

If individuals are exposed to ionising radiation, due to some radiation accident, for medical reasons, or during spaceflight, there is often a need to estimate the contracted radiation dose. The field of biodosimetry is concerned with estimating the... Read More about Estimating Exposure Fraction from Radiation Biomarkers: A Comparison of Frequentist and Bayesian Approaches.

A monotonicity property of weighted log-rank tests (2021)
Journal Article
Coolen-Maturi, T., & Coolen, F. (2023). A monotonicity property of weighted log-rank tests. Communications in Statistics - Theory and Methods, 52(7), 2402-2416. https://doi.org/10.1080/03610926.2021.1952270

The logrank test is a well-known nonparametric test which is often used to compare the survival distributions of two samples including right-censored observations, it is also known as the Mantel-Haenszel test. The Gρ family of tests, generalizes the... Read More about A monotonicity property of weighted log-rank tests.

Driven black holes: from Kolmogorov scaling to turbulent wakes (2021)
Journal Article
Andrade, T., Pantelidou, C., Sonner, J., & Withers, B. (2021). Driven black holes: from Kolmogorov scaling to turbulent wakes. Journal of High Energy Physics, 2021(7), https://doi.org/10.1007/jhep07%282021%29063

General relativity governs the nonlinear dynamics of spacetime, including black holes and their event horizons. We demonstrate that forced black hole horizons exhibit statistically steady turbulent spacetime dynamics consistent with Kolmogorov’s theo... Read More about Driven black holes: from Kolmogorov scaling to turbulent wakes.

A refinement of Khovanov homology (2021)
Journal Article
Lobb, A., & Watson, L. (2021). A refinement of Khovanov homology. Geometry & Topology, 25(4), 1861-1917. https://doi.org/10.2140/gt.2021.25.1861

We refine Khovanov homology in the presence of an involution on the link. This refinement takes the form of a triply graded theory, arising from a pair of filtrations. We focus primarily on strongly invertible knots and show, for instance, that this... Read More about A refinement of Khovanov homology.

Using big data analytics to explore the relationship between government stringency and preventative social behaviour during the COVID-19 pandemic in the United Kingdom [Preprint] (2021)
Preprint / Working Paper
Al-Zubaidy, N., Crespo, R., Jones, S., Drikvandi, R., Gould, L., Leis, M., …Darzi, A. Using big data analytics to explore the relationship between government stringency and preventative social behaviour during the COVID-19 pandemic in the United Kingdom [Preprint]

We evaluated the association between preventative social behaviour and government stringency. Additionally, we sought to evaluate the influence of additional factors including time, need to protect others (using the reported number of COVID-19 deaths... Read More about Using big data analytics to explore the relationship between government stringency and preventative social behaviour during the COVID-19 pandemic in the United Kingdom [Preprint].

Individual Participant Data Meta-analysis of the Impact of Educational Interventions on Pupils Eligible for Free School Meals (2021)
Journal Article
Ashraf, B., Singh, A., Uwimpuhwe, G., Higgins, S., & Kasim, A. (2021). Individual Participant Data Meta-analysis of the Impact of Educational Interventions on Pupils Eligible for Free School Meals. British Educational Research Journal, 47(6), 1675-1699. https://doi.org/10.1002/berj.3749

Meta-analysis is the synthesis of findings from research projects, which enables an estimate of the average or pooled effect across various studies. This study presents findings from the intention to treat analysis for a series of educational evaluat... Read More about Individual Participant Data Meta-analysis of the Impact of Educational Interventions on Pupils Eligible for Free School Meals.

Courant-sharp Robin eigenvalues for the square: The case of negative Robin parameter (2021)
Journal Article
Gittins, K., & Helffer, B. (2021). Courant-sharp Robin eigenvalues for the square: The case of negative Robin parameter. Asymptotic Analysis, 124(1-2), 69-107. https://doi.org/10.3233/asy-201642

We consider the cases where there is equality in Courant’s nodal domain theorem for the Laplacian with a Robin boundary condition on the square. In our previous two papers, we treated the cases where the Robin parameter h>0 is large, small respective... Read More about Courant-sharp Robin eigenvalues for the square: The case of negative Robin parameter.

JUNE: open-source individual-based epidemiology simulation (2021)
Journal Article
Aylett-Bullock, J., Cuesta-Lazaro, C., Quera-Bofarull, A., Icaza-Lizaola, M., Sedgewick, A., Truong, H., …Krauss, F. (2021). JUNE: open-source individual-based epidemiology simulation. Royal Society Open Science, 8(7), https://doi.org/10.1098/rsos.210506

We introduce June, an open-source framework for the detailed simulation of epidemics on the basis of social interactions in a virtual population constructed from geographically granular census data, reflecting age, sex, ethnicity and socio-economic i... Read More about JUNE: open-source individual-based epidemiology simulation.