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Strong subadditivity for log-determinant of covariance matrices and its applications (2016)
Journal Article
Adesso, G., & Simon, R. (2016). Strong subadditivity for log-determinant of covariance matrices and its applications. Journal of Physics A: Mathematical and Theoretical, 49(34), Article 34LT02. https://doi.org/10.1088/1751-8113/49/34/34LT02

We prove that the log-determinant of the covariance matrix obeys the strong subadditivity inequality for arbitrary tripartite states of multimode continuous variable quantum systems. This establishes general limitations on the distribution of informa... Read More about Strong subadditivity for log-determinant of covariance matrices and its applications.

Airway and Parenchymal Strains during Bronchoconstriction in the Precision Cut Lung Slice (2016)
Journal Article
Hiorns, J. E., Bidan, C. M., Jensen, O. E., Gosens, R., Kistemaker, L. E., Fredberg, J. J., …Brook, B. S. (2016). Airway and Parenchymal Strains during Bronchoconstriction in the Precision Cut Lung Slice. Frontiers in Physiology, 7(JUL), Article 309. https://doi.org/10.3389/fphys.2016.00309

The precision-cut lung slice (PCLS) is a powerful tool for studying airway reactivity, but biomechanical measurements to date have largely focused on changes in airway caliber. Here we describe an image processing tool that reveals the associated spa... Read More about Airway and Parenchymal Strains during Bronchoconstriction in the Precision Cut Lung Slice.

A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation (2016)
Journal Article
Kypraios, T., Neal, P., & Prangle, D. (2017). A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation. Mathematical Biosciences, 287, https://doi.org/10.1016/j.mbs.2016.07.001

Likelihood-based inference for disease outbreak data can be very challenging due to the inherent dependence of the data and the fact that they are usually incomplete. In this paper we review recent Approximate Bayesian Computation (ABC) methods for t... Read More about A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation.

Waiting for Unruh (2016)
Journal Article
Fewster, C. J., Juárez-Aubry, B. A., & Louko, J. (2016). Waiting for Unruh. Classical and Quantum Gravity, 33(16), Article 165003. https://doi.org/10.1088/0264-9381/33/16/165003

How long does a uniformly accelerated observer need to interact with a quantum field in order to record thermality in the Unruh temperature? We address this question for a pointlike Unruh–DeWitt detector, coupled linearly to a real Klein–Gordon field... Read More about Waiting for Unruh.

Bayesian inference and model choice for Holling’s disc equation: a case study on an insect predator-prey system (2016)
Journal Article
Papanikolaou, N., Williams, H., Demiris, N., Preston, S., Milonas, P., & Kypraios, T. (2016). Bayesian inference and model choice for Holling’s disc equation: a case study on an insect predator-prey system. Community Ecology, 17(1), 71-78. https://doi.org/10.1556/168.2016.17.1.9

The dynamics of predator-prey systems relate strongly to the density (in)dependent attributes of the predator’s feeding rate, i.e., its functional response. The outcome of functional response models is often used in theoretical or applied ecology in... Read More about Bayesian inference and model choice for Holling’s disc equation: a case study on an insect predator-prey system.

Deformations of GR and BH thermodynamics (2016)
Journal Article
Krasnov, K. (2016). Deformations of GR and BH thermodynamics. Classical and Quantum Gravity, 33(15), 1-17. https://doi.org/10.1088/0264-9381/33/15/155012

In four space–time dimensions General Relativity can be non-trivially deformed. Deformed theories continue to describe two propagating degrees of freedom, as GR. We study Euclidean black hole thermodynamics of these deformations. We use the recently... Read More about Deformations of GR and BH thermodynamics.

A stochastic multicellular model identifies biological watermarks from disorders in self-organized patterns of phyllotaxis (2016)
Journal Article
Refahi, Y., Brunoud, G., Farcot, E., Jean-Marie, A., Pulkkinen, M., Vernoux, T., & Godin, C. (2016). A stochastic multicellular model identifies biological watermarks from disorders in self-organized patterns of phyllotaxis. eLife, 5, Article e14093. https://doi.org/10.7554/eLife.14093

Exploration of developmental mechanisms classically relies on analysis of pattern regularities. Whether disorders induced by biological noise may carry information on building principles of developmental systems is an important debated question. Here... Read More about A stochastic multicellular model identifies biological watermarks from disorders in self-organized patterns of phyllotaxis.

Nonparametric Statistical Methods on Manifolds (2016)
Book Chapter
Dryden, I. L., Le, H., Preston, S. P., & Wood, A. T. A. (2016). Nonparametric Statistical Methods on Manifolds. In M. Denker, & E. C. Waymire (Eds.), Rabi N. Bhattacharya: Selected Papers (587-597). Springer. https://doi.org/10.1007/978-3-319-30190-7_17

One of the many fundamental contributions that Rabi Bhattacharya, together with his coauthors, has made is the development of a general nonparametric theory of statistical inference on manifolds, in particular related to both intrinsic and extrinsic... Read More about Nonparametric Statistical Methods on Manifolds.

Mitochondrial phosphoenolpyruvate carboxykinase (PEPCK-M) and serine biosynthetic pathway genes are co-ordinately increased during anabolic agent-induced skeletal muscle growth (2016)
Journal Article
Brown, D. M., Williams, H., Ryan, K., Wilson, T., Daniel, Z. C., Mareko, M. H. D., …Parr, T. (2016). Mitochondrial phosphoenolpyruvate carboxykinase (PEPCK-M) and serine biosynthetic pathway genes are co-ordinately increased during anabolic agent-induced skeletal muscle growth. Scientific Reports, 6(1), https://doi.org/10.1038/srep28693

We aimed to identify novel molecular mechanisms for muscle growth during administration of anabolic agents. Growing pigs (Duroc/(Landrace/Large-White)) were administered Ractopamine (a beta-adrenergic agonist; BA; 20 ppm in feed) or Reporcin (recombi... Read More about Mitochondrial phosphoenolpyruvate carboxykinase (PEPCK-M) and serine biosynthetic pathway genes are co-ordinately increased during anabolic agent-induced skeletal muscle growth.

Computational modelling of multiscale, multiphase fluid mixtures with application to tumour growth (2016)
Journal Article
Collis, J., Hubbard, M. E., & O'Dea, R. D. (2016). Computational modelling of multiscale, multiphase fluid mixtures with application to tumour growth. Computer Methods in Applied Mechanics and Engineering, 309, https://doi.org/10.1016/j.cma.2016.06.015

In this work we consider the discretization of a recently formulated (Collis et al., [22]) multiscale model for drug- and nutrient-limited tumour growth. The key contribution of this work is the proposal of a discontinuous Galerkin finite element sch... Read More about Computational modelling of multiscale, multiphase fluid mixtures with application to tumour growth.

Mathematical and Numerical Modelling of Wave Impact on Wave-Energy Buoys (2016)
Conference Proceeding
Kalogirou, A., & Bokhove, O. (2016). Mathematical and Numerical Modelling of Wave Impact on Wave-Energy Buoys. doi:10.1115/omae2016-54937

We report on the mathematical and numerical modelling of amplified rogue waves driving a wave-energy device in a contraction. This wave-energy device consists of a floating buoy attached to an AC-induction motor and constrained to move upward only in... Read More about Mathematical and Numerical Modelling of Wave Impact on Wave-Energy Buoys.

The effects of insulin resistance on individual tissues: an application of a mathematical model of metabolism in humans (2016)
Journal Article
Pearson, T., Wattis, J. A., King, J., McDonald, I., & Mazzatti, D. (in press). The effects of insulin resistance on individual tissues: an application of a mathematical model of metabolism in humans. Bulletin of Mathematical Biology, 78(6), https://doi.org/10.1007/s11538-016-0181-1

Whilst the human body expends energy constantly, the human diet consists of a mix of carbohydrates and fats delivered in a discontinuous manner. To deal with this sporadic supply of energy, there are transport, storage and utilisation mechanisms, for... Read More about The effects of insulin resistance on individual tissues: an application of a mathematical model of metabolism in humans.

An optimally efficient technique for the solution of systems of nonlinear parabolic partial differential equations (2016)
Journal Article
Yang, F., Goodyer, C. E., Hubbard, M. E., & Jimack, P. K. (2017). An optimally efficient technique for the solution of systems of nonlinear parabolic partial differential equations. Advances in Engineering Software, 103, https://doi.org/10.1016/j.advengsoft.2016.06.003

This paper describes a new software tool that has been developed for the efficient solution of systems of linear and nonlinear partial differential equations (PDEs) of parabolic type. Specifically, the software is designed to provide optimal computat... Read More about An optimally efficient technique for the solution of systems of nonlinear parabolic partial differential equations.

Markov decision process algorithms for wealth allocation problems with defaultable bonds (2016)
Journal Article
Pérez López, I., Hodge, D., & Le, H. (in press). Markov decision process algorithms for wealth allocation problems with defaultable bonds. Advances in Applied Probability, 48(2), https://doi.org/10.1017/apr.2016.6

This paper is concerned with analysing optimal wealth allocation techniques within a defaultable financial market similar to Bielecki and Jang (2007). It studies a portfolio optimization problem combining a continuous-time jump market and a defaultab... Read More about Markov decision process algorithms for wealth allocation problems with defaultable bonds.

Beyond in-phase and anti-phase coordination in a model of joint action (2016)
Journal Article
Avitabile, D., S?owi?ski, P., Bardy, B., & Tsaneva-Atanasova, K. (in press). Beyond in-phase and anti-phase coordination in a model of joint action. Biological Cybernetics, 110(2-3), https://doi.org/10.1007/s00422-016-0691-9

In 1985, Haken, Kelso and Bunz proposed a system of coupled nonlinear oscillators as a model of rhythmic movement patterns in human bimanual coordination. Since then, the Haken–Kelso–Bunz (HKB) model has become a modelling paradigm applied extensivel... Read More about Beyond in-phase and anti-phase coordination in a model of joint action.

Generalized geometric quantum speed limits (2016)
Journal Article
Pires, D. P., Cianciaruso, M., Céleri, L. C., Adesso, G., & Soares-Pinto, D. O. (2016). Generalized geometric quantum speed limits. Physical Review X, 6(2), Article 21031. https://doi.org/10.1103/PhysRevX.6.021031

The attempt to gain a theoretical understanding of the concept of time in quantum mechanics has triggered significant progress towards the search for faster and more efficient quantum technologies. One of such advances consists in the interpretation... Read More about Generalized geometric quantum speed limits.