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Outputs (99)

Data-Driven Infrastructure Planning for Offshore Wind Farms (2024)
Journal Article
Saxena, I., Kazemtabrizi, B., Troffaes, M. C., & Crabtree J., C. (2024). Data-Driven Infrastructure Planning for Offshore Wind Farms. Journal of Physics: Conference Series, 2767(6), Article 062002. https://doi.org/10.1088/1742-6596/2767/6/062002

Offshore wind farms are one of the major renewable energy resources that can help the UK to reach its net zero target. Under the 10 point plan of the green revolution, the UK is set to quadruple its wind energy production by increasing its offshore w... Read More about Data-Driven Infrastructure Planning for Offshore Wind Farms.

Stochastic differential games with controlled regime-switching (2024)
Journal Article
Ma, C., & Zhao, H. (2024). Stochastic differential games with controlled regime-switching. Computational and Applied Mathematics, 43(4), Article 264. https://doi.org/10.1007/s40314-024-02782-8

In this article, we consider a two-player zero-sum stochastic differential game with regime-switching. Different from the results in existing literature on stochastic differential games with regime-switching, we consider a game between a Markov chain... Read More about Stochastic differential games with controlled regime-switching.

Bayesian inference for a spatio-temporal model of road traffic collision data (2024)
Journal Article
Hewett, N., Golightly, A., Fawcett, L., & Thorpe, N. (2024). Bayesian inference for a spatio-temporal model of road traffic collision data. Journal of Computational Science, 80, Article 102326. https://doi.org/10.1016/j.jocs.2024.102326

Improving road safety is hugely important with the number of deaths on the world’s roads remaining unacceptably high; an estimated 1.35 million people die each year (WHO, 2020). Current practice for treating collision hotspots is almost always reacti... Read More about Bayesian inference for a spatio-temporal model of road traffic collision data.

The AdS Veneziano amplitude at small curvature (2024)
Journal Article
Alday, L. F., Chester, S. M., Hansen, T., & Zhong, D. (2024). The AdS Veneziano amplitude at small curvature. Journal of High Energy Physics, 2024(5), Article 322. https://doi.org/10.1007/jhep05%282024%29322

We compute the AdS Veneziano amplitude for type IIB gluon scattering in AdS5 × S3 to all orders in α′ in a small curvature expansion. This is achieved by combining a dispersion relation in the dual 4dN = 2 SCFT with an ansatz for the amplitude as a w... Read More about The AdS Veneziano amplitude at small curvature.

Nonparametric Predictive Inference for Two Future Observations with Right-Censored Data (2024)
Journal Article
Coolen-Maturi, T., Mahnashi, A. M., & Coolen, F. P. A. (in press). Nonparametric Predictive Inference for Two Future Observations with Right-Censored Data. Mathematical Methods of Statistics,

In reliability and survival analyses, right-censored observations are common. This type of data occurs when an event of interest is not fully observed during an experiment and there is no information provided about a random quantity, except that it e... Read More about Nonparametric Predictive Inference for Two Future Observations with Right-Censored Data.

Magnetic reconnection (2024)
Book Chapter
Pontin, D. I., Wyper, P. F., & Priest, E. R. (2024). Magnetic reconnection. In A. Kumar Srivastava, M. Goossens, & I. Arregui (Eds.), Magnetohydrodynamic Processes in Solar Plasmas (345-414). Elsevier. https://doi.org/10.1016/b978-0-32-395664-2.00014-1

Magnetic reconnection is a fundamental astrophysical process and plays a key role in the dynamics of the Sun's atmosphere. It facilitates the rapid conversion of energy stored in the magnetic field into kinetic and thermal energy. This drives phenome... Read More about Magnetic reconnection.

Understanding health service utilisation patterns for care home residents during the COVID-19 pandemic using routinely collected healthcare data (2024)
Journal Article
Garner, A., Preston, N., Caiado, C., Stubington, E., Hanratty, B., Limb, J., …Knight, J. (2024). Understanding health service utilisation patterns for care home residents during the COVID-19 pandemic using routinely collected healthcare data. BMC Geriatrics, 24(1), Article 449. https://doi.org/10.1186/s12877-024-05062-6

Background: Healthcare in care homes during the COVID-19 pandemic required a balance, providing treatment while minimising exposure risk. Policy for how residents should receive care changed rapidly throughout the pandemic. A lack of accessible data... Read More about Understanding health service utilisation patterns for care home residents during the COVID-19 pandemic using routinely collected healthcare data.

Transition to a weaker Sun: Changes in the solar atmosphere during the decay of the Modern Maximum (2024)
Journal Article
Mursula, K., Pevtsov, A. A., Asikainen, T., Tähtinen, I., & Yeates, A. R. (2024). Transition to a weaker Sun: Changes in the solar atmosphere during the decay of the Modern Maximum. Astronomy & Astrophysics, 685, Article A170. https://doi.org/10.1051/0004-6361/202449231

Context. The Sun experienced a period of unprecedented activity during the 20th century, now called the Modern Maximum (MM). The decay of the MM after its maximum in cycle 19 has changed the Sun, the heliosphere, and the planetary environments in man... Read More about Transition to a weaker Sun: Changes in the solar atmosphere during the decay of the Modern Maximum.

Stability and equivariant Gromov–Hausdorff convergence (2024)
Journal Article
Alattar, M. (2024). Stability and equivariant Gromov–Hausdorff convergence. Bulletin of the London Mathematical Society, https://doi.org/10.1112/blms.13073

We give applications of equivariant Gromov–Hausdorff convergence in various contexts. Namely, using equivariant Gromov–Hausdorff convergence, we prove a stability result in the setting of compact finite‐dimensional Alexandrov spaces. Moreover, we int... Read More about Stability and equivariant Gromov–Hausdorff convergence.