All Outputs (1648)

Geometric approach to entanglement quantification with polynomial measures (2016)
Journal Article
Regula, B., & Adesso, G. (2016). Geometric approach to entanglement quantification with polynomial measures. Physical Review A, 94(2), Article 022324. https://doi.org/10.1103/PhysRevA.94.022324

We show that the quantification of entanglement of any rank-2 state with any polynomial entanglement measure can be recast as a geometric problem on the corresponding Bloch sphere. This approach provides insight into the properties of entanglement an... Read More about Geometric approach to entanglement quantification with polynomial measures.

Combining spatial and parametric working memory in a dynamic neural field model (2016)
Journal Article
Wojtak, W., Coombes, S., Bicho, E., & Erlhagen, W. (in press). Combining spatial and parametric working memory in a dynamic neural field model. Lecture Notes in Artificial Intelligence, 9886, https://doi.org/10.1007/978-3-319-44778-0_48

We present a novel dynamic neural field model consisting of two coupled fields of Amari-type which supports the existence of localized activity patterns or “bumps” with a continuum of amplitudes. Bump solutions have been used in the past to model spa... Read More about Combining spatial and parametric working memory in a dynamic neural field model.

Conforming and nonconforming virtual element methods for elliptic problems (2016)
Journal Article
Cangiani, A., Manzini, G., & Sutton, O. J. (2017). Conforming and nonconforming virtual element methods for elliptic problems. IMA Journal of Numerical Analysis, 37(3), 1317-1354. https://doi.org/10.1093/imanum/drw036

We present in a unified framework new conforming and nonconforming Virtual Element Methods (VEM) for general second order elliptic problems in two and three dimensions. The differential operator is split into its symmetric and non-symmetric parts and... Read More about Conforming and nonconforming virtual element methods for elliptic problems.

Nonparametric hypothesis testing for equality of means on the simplex (2016)
Journal Article
Tsagris, M., Preston, S. P., & Wood, A. T. (in press). Nonparametric hypothesis testing for equality of means on the simplex. Journal of Statistical Computation and Simulation, 87(2), https://doi.org/10.1080/00949655.2016.1216554

In the context of data that lie on the simplex, we investigate use of empirical and exponential empirical likelihood, and Hotelling and James statistics, to test the null hypothesis of equal population means based on two independent samples. We perfo... Read More about Nonparametric hypothesis testing for equality of means on the simplex.

Nonlinear dynamics of surfactant-laden two-fluid Couette flows in the presence of inertia (2016)
Journal Article
Kalogirou, A., & Papageorgiou, D. T. (2016). Nonlinear dynamics of surfactant-laden two-fluid Couette flows in the presence of inertia. Journal of Fluid Mechanics, 802, 5-36. https://doi.org/10.1017/jfm.2016.429

The nonlinear stability of immiscible two-fluid Couette flows in the presence of inertia is considered. The interface between the two viscous fluids can support insoluble surfactants and the interplay between the underlying hydrodynamic instabilities... Read More about Nonlinear dynamics of surfactant-laden two-fluid Couette flows in the presence of inertia.

Should entanglement measures be monogamous or faithful? (2016)
Journal Article
Lancien, C., Di Martino, S., Huber, M., Piani, M., Adesso, G., & Winter, A. (2016). Should entanglement measures be monogamous or faithful?. Physical Review Letters, 117, Article 060501. https://doi.org/10.1103/PhysRevLett.117.060501

“Is entanglement monogamous?” asks the title of a popular article [B. Terhal, IBM J. Res. Dev. 48, 71 (2004)], celebrating C. H. Bennett’s legacy on quantum information theory. While the answer is affirmative in the qualitative sense, the situation i... Read More about Should entanglement measures be monogamous or faithful?.

Inferring R0 in emerging epidemics: the effect of common population structure is small (2016)
Journal Article
Trapman, P., Ball, F., Dhersin, J., Tran, V. C., Wallinga, J., & Britton, T. (2016). Inferring R0 in emerging epidemics: the effect of common population structure is small. Interface, 13(121), 1-9. https://doi.org/10.1098/rsif.2016.0288

When controlling an emerging outbreak of an infectious disease, it is essential to know the key epidemiological parameters, such as the basic reproduction number R0 and the control effort required to prevent a large outbreak. These parameters are est... Read More about Inferring R0 in emerging epidemics: the effect of common population structure is small.

Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images (2016)
Journal Article
Calatroni, L., van Gennip, Y., Schönlieb, C., Rowland, H. M., & Flenner, A. (in press). Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images. Journal of Mathematical Imaging and Vision, https://doi.org/10.1007/s10851-016-0678-0

We consider the problem of scale detection in images where a region of interest is present together with a measurement tool (e.g. a ruler). For the segmentation part, we focus on the graph based method presented in which reinterprets classical contin... Read More about Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images.

Parity-time symmetric chain resonators (2016)
Conference Proceeding
Phang, S., Vukovic, A., Creagh, S., Gradoni, G., Sewell, P., & Benson, T. M. (2016). Parity-time symmetric chain resonators.

A simple tight-binding model to study the band-structure of an infinite length Parity-time (PT) symmetric chain of resonators is presented in this paper. In the talk, we will investigate the impact of having a structure of finite length and consider... Read More about Parity-time symmetric chain resonators.

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.

Improved classification for compositional data using the ?-transformation (2016)
Journal Article
Tsagris, M., Preston, S., & Wood, A. T. (2016). Improved classification for compositional data using the α-transformation. Journal of Classification, 33(2), 243–261. https://doi.org/10.1007/s00357-016-9207-5

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.