• Simplicial models of social contagion 

  Iacopini, I; Petri, G; Barrat, A; Latora, V (Nature Research (part of Springer Nature), 2019)

  Complex networks have been successfully used to describe the spread of diseases in populations of interacting individuals. Conversely, pairwise interactions are often not enough to characterize social contagion processes ...

• On Carleman and observability estimates for wave equations on time-dependent domains 

  Shao, CT (London Mathematical Society, 2019)

  We establish new Carleman estimates for the wave equation, which we then apply to derive novel observability inequalities for a general class of linear wave equations. The main features of these inequalities are that (a) ...

• Incidence of osteoarthritis, osteoporosis and inflammatory musculoskeletal diseases in adults with cerebral palsy: a population-based cohort study. 

  O'Connell, N; Smith, K; Peterson, M; Ryan, N; Liverani, S; Anokye, N; Victor, C; Ryan, J (Elsevier, 2019)

  Background: People with cerebral palsy (CP) may be at increased risk of musculoskeletal conditions due to various factors including malnutrition and abnormal levels of skeletal loading. This study aimed to compare the ...

• Energy-dependent diffusion in a soft periodic Lorentz gas 

  GIL GALLEGOS, S; Klages, R; Räsänen, E; Solanpää, J (EDP Sciences, 2019)

  The periodic Lorentz gas is a paradigmatic model to examine how macroscopic transport emerges from microscopic chaos. It consists of a triangular lattice of circular hard scatterers with a moving point particle. Recently ...

• Using fMRI connectivity to define a treatment-resistant form of post-traumatic stress disorder 

  Etkin, A; Maron-Katz, A; Wu, W; Fonzo, GA; Huemer, J; Vertes, PE; Patenaude, B; Richiardi, J; Goodkind, MS; Keller, CJ (American Association for the Advancement of Science, 2019-04-03)

  A mechanistic understanding of the pathology of psychiatric disorders has been hampered by extensive heterogeneity in biology, symptoms, and behavior within diagnostic categories that are defined subjectively. We investigated ...

• Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes. 

  Morgan, SE; Seidlitz, J; Whitaker, KJ; Romero-Garcia, R; Clifton, NE; Scarpazza, C; van Amelsvoort, T; Marcelis, M; van Os, J; Donohoe, G (National Academy of Sciences, 2019-04-19)

  Schizophrenia has been conceived as a disorder of brain connectivity, but it is unclear how this network phenotype is related to the underlying genetics. We used morphometric similarity analysis of MRI data as a marker of ...

• Multimodal imaging of brain connectivity reveals predictors of individual decision strategy in statistical learning 

  Karlaftis, VM; Giorgio, J; Vertes, PE; Wang, R; Shen, Y; Tino, P; Welchman, AE; Kourtzi, Z (Nature Publishing Group, 2019-03)

  Successful human behaviour depends on the brain’s ability to extract meaningful structure from information streams and make predictions about future events. Individuals can differ markedly in the decision strategies they ...

• Abnormal Calcium Leak from Cardiac Sarcoplasmic Reticulum: New Insights Offered by Statistical Physics 

  Maltsev, A; Stern, M; Maltsev, V (Elsevier, 2019)

  Rationale: Heart muscle contraction is activated by a synchronized systolic Ca release from sarcoplasmic reticulum (SR) via Ca sparks. In disease, Ca sparks fail to terminate, causing a diastolic Ca leak that decreases ...

• Ab initio electronic transport study of two-dimensional silicon carbide-based p–n junctions 

  Zhou, H; Lin, X; Guo, H; Lin, S; Sun, Y; Xu, Y (IOP Publishing, 2017-03)

  Two-dimensional silicon carbide (2d-SiC) is a viable material for next generation electronics due to its moderate, direct bandgap with huge potential. In particular, its potential for p–n junctions is yet to be explored. ...

• Nonlinear Spectral Image Fusion 

  Benning, M; Moeller, M; Nossek, RZ; Burger, M; Cremers, D; Gilboa, G; Schonilibe, C-B (Springer, 2017)

  In this paper we demonstrate that the framework of nonlinear spectral decompositions based on total variation (TV) regularization is very well suited for image fusion as well as more general image manipulation tasks. The ...

• Modern regularization methods for inverse problems 

  Benning, M; Burger, M (Cambridge University Press, 2018)

  Regularization methods are a key tool in the solution of inverse problems. They are used to introduce prior knowledge and allow a robust approximation of ill-posed (pseudo-) inverses. In the last two decades interest has ...

• Green's identities, comparison principle and uniqueness of positive solutions for nonlinear $p$-sub-Laplacian equations on stratified Lie groups 

  Ruzhansky, M; Suragan, D

  We propose analogues of Green's and Picone's identities for the $p$-sub-Laplacian on stratified Lie groups. In particular, these imply a generalised D\'iaz-Sa\'a inequality for the $p$-sub-Laplacian on stratified Lie groups. ...

• Anomalous Diffusion in Random Dynamical Systems 

  Sato, Y; Klages, R (American Physical Society (APS), 2019-04-29)

  Consider a chaotic dynamical system generating diffusionlike Brownian motion. Consider a second, nonchaotic system in which all particles localize. Let a particle experience a random combination of both systems by sampling ...

• Benchmarking the performance of controllers for power grid transient stability 

  Martyr, R; Schaefer, B; Beck, C; Latora, V (Elsevier, 2019)

  As the energy transition transforms power grids across the globe, it poses several challenges regarding grid design and control. In particular, high levels of intermittent renewable generation complicate the task of ...

• On Index Policies for Stochastic Minsum Scheduling 

  Eberle, F; FISCHER, F; Matuschke, J; Megow, N (Elsevier, 2019)

  Minimizing the sum of completion times when scheduling jobs on identical parallel machines is a fundamental scheduling problem. Unlike the well-understood deterministic variant, it is a major open problem how to handle ...

• Effects of memory on spreading processes in non-Markovian temporal networks 

  Williams, OE; Lino, F; Latora, V (2019-04-15)

• Uniform Sampling through the Lovász Local Lemma 

  JERRUM, MR; GUO, H; LIU, J (Association for Computing Machinery, 2019)

  We propose a new algorithmic framework, called `"partial rejection sampling'', to draw samples exactly from a product distribution, conditioned on none of a number of bad events occurring. Our framework builds new connections ...

• Imbalance market real options and the valuation of storage in future energy systems 

  MORIARTY, JM; Palczewski, J (MDPI AG, 2019)

  As decarbonisation progresses and conventional thermal generation gradually gives way to other technologies including intermittent renewables, there is an increasing requirement for system balancing from new and also ...

• Characterization of global fields by Dirichlet L-series 

  Cornelissen, G; de Smit, B; Li, X; Marcolli, M; Smit, H (Springer, 2019-03-01)

  We prove that two global fields are isomorphic if and only if there is an isomorphism of groups of Dirichlet characters that preserves L-series.

• Optimal random deposition of interacting particles 

  Baule, A (2019)

  Irreversible random sequential deposition of interacting particles is widely used to model aggregation phenomena in physical, chemical, and biophysical systems. We show that in one dimension the exact time dependent solution ...

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