Outputs (220)

Yangian Symmetry in Five Dimensions (2022)
Journal Article
Lipstein, A., & Orchard, T. (2022). Yangian Symmetry in Five Dimensions. Physical Review Letters, 129(23), Article 231602. https://doi.org/10.1103/physrevlett.129.231602

Quantum gravity in AdS7×S4 is dual to a six-dimensional (6D) superconformal field theory, known as the 6D (2,0) theory, which is very challenging to describe because it lacks a conventional Lagrangian description. On the other hand, certain null redu... Read More about Yangian Symmetry in Five Dimensions.

Cosmologies inside hyperbolic black holes (2022)
Journal Article
Ross, S. F. (2022). Cosmologies inside hyperbolic black holes. Journal of High Energy Physics, 2022(11), Article 168. https://doi.org/10.1007/jhep11%282022%29168

Models with closed FRW cosmologies on the worldvolume of a constant-tension brane inside a black hole provide an interesting setup for studying cosmology holographically. However, in more than two worldvolume dimensions, there are limitations on such... Read More about Cosmologies inside hyperbolic black holes.

A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant (2022)
Journal Article
Hannaford, N., Heaps, S., Nye, T., Curtis, T., Allen, B., Golightly, A., & Wilkinson, D. (2023). A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant. Computational Statistics & Data Analysis, 179, https://doi.org/10.1016/j.csda.2022.107659

Proper function of a wastewater treatment plant (WWTP) relies on maintaining a delicate balance between a multitude of competing microorganisms. Gaining a detailed understanding of the complex network of interactions therein is essential to maximisin... Read More about A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant.

Mean string field theory: Landau-Ginzburg theory for 1-form symmetries (2022)
Journal Article
Iqbal, N., & McGreevy, J. (2022). Mean string field theory: Landau-Ginzburg theory for 1-form symmetries. SciPost Physics, 13(5), Article 114. https://doi.org/10.21468/scipostphys.13.5.114

By analogy with the Landau-Ginzburg theory of ordinary zero-form symmetries, we introduce and develop a Landau-Ginzburg theory of one-form global symmetries, which we call mean string field theory. The basic dynamical variable is a string field – def... Read More about Mean string field theory: Landau-Ginzburg theory for 1-form symmetries.

Counterexample to the Laptev-Safronov Conjecture (2022)
Journal Article
Boegli, S., & Cuenin, J. (2023). Counterexample to the Laptev-Safronov Conjecture. Communications in Mathematical Physics, 398(3), 1349-1370. https://doi.org/10.1007/s00220-022-04546-z

Laptev and Safronov (Commun Math Phys 292(1):29–54, 2009) conjectured an inequality between the magnitude of eigenvalues of a non-self-adjoint Schrödinger operator on Rd, d≥2, and an Lq norm of the potential, for any q∈[d/2,d]. Frank (Bull Lond Math... Read More about Counterexample to the Laptev-Safronov Conjecture.

Long-term outcomes of mini-sternotomy versus conventional sternotomy for aortic valve replacement: a randomised controlled trial (2022)
Journal Article
Telyuk, P., Hancock, H., Maier, R., Batty, J. A., Goodwin, A., Owens, W. A., …Akowuah, E. (2023). Long-term outcomes of mini-sternotomy versus conventional sternotomy for aortic valve replacement: a randomised controlled trial. European Journal of Cardio-Thoracic Surgery, 63(1), Article ezac540. https://doi.org/10.1093/ejcts/ezac540

Objectives Aortic valve replacement (AVR) for severe symptomatic aortic stenosis is one of the most common cardiac surgical procedures with excellent long-term outcomes. Multiple previous studies have compared short-term outcomes of AVR with mini-ste... Read More about Long-term outcomes of mini-sternotomy versus conventional sternotomy for aortic valve replacement: a randomised controlled trial.

A Bayesian Computer Model Analysis of Robust Bayesian Analyses (2022)
Journal Article
Vernon, I., & Gosling, J. (2023). A Bayesian Computer Model Analysis of Robust Bayesian Analyses. Bayesian Analysis, 18(4), 1367-1399. https://doi.org/10.1214/22-ba1340

We harness the power of Bayesian emulation techniques, designed to aid the analysis of complex computer models, to examine the structure of complex Bayesian analyses themselves. These techniques facilitate robust Bayesian analyses and/or sensitivity... Read More about A Bayesian Computer Model Analysis of Robust Bayesian Analyses.

Using Random Effect Models to Produce Robust Estimates of Death Rates in COVID-19 Data (2022)
Journal Article
Almohaimeed, A., Einbeck, J., Qarmalah, N., & Alkhidhr, H. (2022). Using Random Effect Models to Produce Robust Estimates of Death Rates in COVID-19 Data. International Journal of Environmental Research and Public Health, 19(22), https://doi.org/10.3390/ijerph192214960

Tracking the progress of an infectious disease is critical during a pandemic. However, the incubation period, diagnosis, and treatment most often cause uncertainties in the reporting of both cases and deaths, leading in turn to unreliable death rates... Read More about Using Random Effect Models to Produce Robust Estimates of Death Rates in COVID-19 Data.

Dissipative effects in finite density holographic superfluids (2022)
Journal Article
Donos, A., & Kailidis, P. (2022). Dissipative effects in finite density holographic superfluids. Journal of High Energy Physics, 2022(11), Article 53. https://doi.org/10.1007/jhep11%282022%29053

We derive the leading dissipative corrections of holographic superfluids at finite temperature and chemical potential by employing our recently developed techniques to study dissipative effects in the hydrodynamic limit of holographic theories. As pa... Read More about Dissipative effects in finite density holographic superfluids.

To the cusp and back: resurgent analysis for modular graph functions (2022)
Journal Article
Dorigoni, D., Kleinschmidt, A., & Treilis, R. (2022). To the cusp and back: resurgent analysis for modular graph functions. Journal of High Energy Physics, 2022(11), https://doi.org/10.1007/jhep11%282022%29048

Modular graph functions arise in the calculation of the low-energy expansion of closed-string scattering amplitudes. For toroidal world-sheets, they are SL(2, ℤ)-invariant functions of the torus complex structure that have to be integrated over the m... Read More about To the cusp and back: resurgent analysis for modular graph functions.