All Outputs (129)

Travelling-Wave and Asymptotic Analysis of a Multiphase Moving Boundary Model for Engineered Tissue Growth (2022)
Journal Article
Jepson, J. M., Fadai, N. T., & O’Dea, R. D. (2022). Travelling-Wave and Asymptotic Analysis of a Multiphase Moving Boundary Model for Engineered Tissue Growth. Bulletin of Mathematical Biology, 84(8), Article 87. https://doi.org/10.1007/s11538-022-01044-0

We derive a multiphase, moving boundary model to represent the development of tissue in vitro in a porous tissue engineering scaffold. We consider a cell, extra-cellular liquid and a rigid scaffold phase, and adopt Darcy’s law to relate the velocity... Read More about Travelling-Wave and Asymptotic Analysis of a Multiphase Moving Boundary Model for Engineered Tissue Growth.

Quantum-enhanced passive remote sensing (2022)
Journal Article
Köse, E., Adesso, G., & Braun, D. (2022). Quantum-enhanced passive remote sensing. Physical Review A, 106(1), Article 012601. https://doi.org/10.1103/PhysRevA.106.012601

We investigate theoretically the ultimate resolution that can be achieved with passive remote sensing in the microwave regime used, e.g., on board of satellites observing Earth, such as the soil moisture and ocean salinity (SMOS) mission. We give a f... Read More about Quantum-enhanced passive remote sensing.

Localized folding of thick layers (2022)
Journal Article
Behnoudfar, P., Hobbs, B. E., Ord, A., Espath, L., & Calo, V. M. (2022). Localized folding of thick layers. Journal of Structural Geology, 161, Article 104669. https://doi.org/10.1016/j.jsg.2022.104669

We describe the localized folding of thick layers embedded in a viscoelastic framework. Higher-order partial differential equations such as the Swift-Hohenberg equation are standard for modelling the folding process. Using a high-order shear theory,... Read More about Localized folding of thick layers.

Metabolic modeling-based drug repurposing in Glioblastoma (2022)
Journal Article
Tomi-Andrino, C., Pandele, A., Winzer, K., King, J., Rahman, R., & Kim, D.-H. (2022). Metabolic modeling-based drug repurposing in Glioblastoma. Scientific Reports, 12, Article 11189. https://doi.org/10.1038/s41598-022-14721-w

The manifestation of intra- and inter-tumor heterogeneity hinders the development of ubiquitous cancer treatments, thus requiring a tailored therapy for each cancer type. Specifically, the reprogramming of cellular metabolism has been identified as a... Read More about Metabolic modeling-based drug repurposing in Glioblastoma.

Association of age, hormonal, and lifestyle factors with the Leydig cell biomarker INSL3 in aging men from the European Male Aging Study cohort (2022)
Journal Article
Anand-Ivell, R., Heng, K., Severn, K., Antonio, L., Bartfai, G., Casanueva, F. F., …Ivell, R. (2022). Association of age, hormonal, and lifestyle factors with the Leydig cell biomarker INSL3 in aging men from the European Male Aging Study cohort. Andrology, 10(7), 1328-1338. https://doi.org/10.1111/andr.13220

Background: Aging in men is accompanied by a broad range of symptoms, including sexual dysfunction, cognitive and musculoskeletal decline, obesity, type 2 diabetes, cardiovascular disease and hypertension, organ degeneration/failure, and increasing n... Read More about Association of age, hormonal, and lifestyle factors with the Leydig cell biomarker INSL3 in aging men from the European Male Aging Study cohort.

New horizons for fundamental physics with LISA (2022)
Journal Article
Arun, K., Belgacem, E., Benkel, R., Bernard, L., Berti, E., Bertone, G., Besancon, M., Blas, D., Böhmer, C. G., Brito, R., Calcagni, G., Cardenas-Avendaño, A., Clough, K., Crisostomi, M., De Luca, V., Doneva, D., Escoffier, S., María Ezquiaga, J., Ferreira, P. G., Fleury, P., …Zumalacárregui, M. (2022). New horizons for fundamental physics with LISA. Living Reviews in Relativity, 25(1), 1-148. https://doi.org/10.1007/s41114-022-00036-9

The Laser Interferometer Space Antenna (LISA) has the potential to reveal wonders about the fundamental theory of nature at play in the extreme gravity regime, where the gravitational interaction is both strong and dynamical. In this white paper, the... Read More about New horizons for fundamental physics with LISA.

cellmlmanip and chaste_codegen: automatic CellML to C++ code generation with fixes for singularities and automatically generated Jacobians (2022)
Journal Article
Hendrix, M., Clerx, M., Tamuri, A. U., Keating, S. M., Johnstone, R. H., Cooper, J., & Mirams, G. R. (2022). cellmlmanip and chaste_codegen: automatic CellML to C++ code generation with fixes for singularities and automatically generated Jacobians. Wellcome Open Research, 6, Article 261. https://doi.org/10.12688/wellcomeopenres.17206.2

Hundreds of different mathematical models have been proposed for describing electrophysiology of various cell types. These models are quite complex (nonlinear systems of typically tens of ODEs and sometimes hundreds of parameters) and software packag... Read More about cellmlmanip and chaste_codegen: automatic CellML to C++ code generation with fixes for singularities and automatically generated Jacobians.

Analysis of phenotype-genotype associations using genomic informational field theory (GIFT) (2022)
Journal Article
Wattis, J. A., Bray, S. M., Kyratzi, P., & Rauch, C. (2022). Analysis of phenotype-genotype associations using genomic informational field theory (GIFT). Journal of Theoretical Biology, 548, Article 111198. https://doi.org/10.1016/j.jtbi.2022.111198

We show how field- and information theory can be used to quantify the relationship between genotype and phenotype in cases where phenotype is a continuous variable. Given a sample population of phenotype measurements, from various known genotypes, we... Read More about Analysis of phenotype-genotype associations using genomic informational field theory (GIFT).

A systematic analysis of the memory term in coarse-grained models: The case of the Markovian approximation (2022)
Journal Article
Di Pasquale, N., Hudson, T., Icardi, M., Rovigatti, L., & Spinaci, M. (2023). A systematic analysis of the memory term in coarse-grained models: The case of the Markovian approximation. European Journal of Applied Mathematics, 34(2), 326-345. https://doi.org/10.1017/s0956792522000158

The systematic development of coarse-grained (CG) models via the Mori–Zwanzig projector operator formalism requires the explicit description of a deterministic drift term, a dissipative memory term and a random fluctuation term. The memory and fluctu... Read More about A systematic analysis of the memory term in coarse-grained models: The case of the Markovian approximation.

Guided waves-based damage identification in plates through an inverse Bayesian process (2022)
Journal Article
Wu, W., Malik, M. K., Cantero-Chinchilla, S., Lawrie, T., Yan, W. J., Tanner, G., …Chronopoulos, D. (2022). Guided waves-based damage identification in plates through an inverse Bayesian process. Ultrasonics, 125, Article 106773. https://doi.org/10.1016/j.ultras.2022.106773

The use of guided waves to identify damage has become a popular method due to its robustness and fast execution, as well as the advantage of being able to inspect large areas and detect minor structural defects. When a travelling wave on a plate inte... Read More about Guided waves-based damage identification in plates through an inverse Bayesian process.

Numerical Experiments on Extreme Waves Through Oblique–Soliton Interactions (2022)
Journal Article
Choi, J., Bokhove, O., Kalogirou, A., & Kelmanson, M. A. (2022). Numerical Experiments on Extreme Waves Through Oblique–Soliton Interactions. Water Waves, 4(2), 139–179. https://doi.org/10.1007/s42286-022-00059-3

Extreme water-wave motion is investigated analytically and numerically by considering two-soliton and three-soliton interactions on a horizontal plane. We successfully determine numerically that soliton solutions of the unidirectional Kadomtsev–Petvi... Read More about Numerical Experiments on Extreme Waves Through Oblique–Soliton Interactions.

Large deviations, central limit, and dynamical phase transitions in the atom maser (2022)
Journal Article
Girotti, F., Van Horssen, M., Carbone, R., & Guţa, M. (2022). Large deviations, central limit, and dynamical phase transitions in the atom maser. Journal of Mathematical Physics, 63(6), Article 062202. https://doi.org/10.1063/5.0078916

The theory of quantum jump trajectories provides a new framework for understanding dynamical phase transitions in open systems. A candidate for such transitions is the atom maser, which for certain parameters exhibits strong intermittency in the atom... Read More about Large deviations, central limit, and dynamical phase transitions in the atom maser.

Zibotentan in systemic sclerosis-associated chronic kidney disease: a phase II randomised placebo-controlled trial (2022)
Journal Article
Stern, E. P., Host, L. V., Wanjiku, I., Escott, J., Gilmour, P. S., Ochiel, R., …Denton, C. P. (2022). Zibotentan in systemic sclerosis-associated chronic kidney disease: a phase II randomised placebo-controlled trial. Arthritis Research and Therapy, 24(1), Article 130. https://doi.org/10.1186/s13075-022-02818-6

Background We report results from a phase II randomised placebo-controlled trial assessing zibotentan, a highly selective endothelin receptor antagonist (ERA), in chronic kidney disease (CKD) secondary to systemic sclerosis (SSc).

Methods This t... Read More about Zibotentan in systemic sclerosis-associated chronic kidney disease: a phase II randomised placebo-controlled trial.

Dynamic survival analysis for non-Markovian epidemic models (2022)
Journal Article
Di Lauro, F., KhudaBukhsh, W. R., Kiss, I. Z., Kenah, E., Jensen, M., & Rempała, G. A. (2022). Dynamic survival analysis for non-Markovian epidemic models. Journal of the Royal Society. Interface, 19(191), Article 20220124. https://doi.org/10.1098/rsif.2022.0124

We present a new method for analysing stochastic epidemic models under minimal assumptions. The method, dubbed dynamic survival analysis (DSA), is based on a simple yet powerful observation, namely that population-level mean-field trajectories descri... Read More about Dynamic survival analysis for non-Markovian epidemic models.

Holographic entanglement in spin network states: A focused review (2022)
Journal Article
Colafranceschi, E., & Adesso, G. (2022). Holographic entanglement in spin network states: A focused review. AVS Quantum Science, 4(2), Article 025901. https://doi.org/10.1116/5.0087122

In the long-standing quest to reconcile gravity with quantum mechanics, profound connections have been unveiled between concepts traditionally pertaining to a quantum information theory, such as entanglement, and constitutive features of gravity, lik... Read More about Holographic entanglement in spin network states: A focused review.

Parameter estimation and system identification for continuously-observed quantum systems (2022)
Journal Article
Nurdin, H. I., & Guţǎ, M. (2022). Parameter estimation and system identification for continuously-observed quantum systems. Annual Reviews in Control, 54, 295-304. https://doi.org/10.1016/j.arcontrol.2022.04.012

This paper gives an overview of parameter estimation and system identification for quantum input–output systems by continuous observation of the output field. We present recent results on the quantum Fisher information of the output with respect to u... Read More about Parameter estimation and system identification for continuously-observed quantum systems.

Population Balance Models for Particulate Flows in Porous Media: Breakage and Shear-Induced Events (2022)
Journal Article
Icardi, M., Pasquale, N. D., Crevacore, E., Marchisio, D., & Babler, M. U. (2023). Population Balance Models for Particulate Flows in Porous Media: Breakage and Shear-Induced Events. Transport in Porous Media, 146, 197-222. https://doi.org/10.1007/s11242-022-01793-5

Transport and particulate processes are ubiquitous in environmental, industrial and biological applications, often involving complex geometries and porous media. In this work we present a general population balance model for particle transport at the... Read More about Population Balance Models for Particulate Flows in Porous Media: Breakage and Shear-Induced Events.

Machine learning for non-additive intermolecular potentials: quantum chemistry to first-principles predictions (2022)
Journal Article
Graham, R. S., & Wheatley, R. J. (2022). Machine learning for non-additive intermolecular potentials: quantum chemistry to first-principles predictions. Chemical Communications, 58(49), 6898-6901. https://doi.org/10.1039/d2cc01820a

Prediction of thermophysical properties from molecular principles requires accurate potential energy surfaces (PES). We present a widely-applicable method to produce first-principles PES from quantum chemistry calculations. Our approach accurately in... Read More about Machine learning for non-additive intermolecular potentials: quantum chemistry to first-principles predictions.

Linearization of the Travel Time Functional in Porous Media Flows (2022)
Journal Article
Rourke, C. J., Houston, P., Rourke, C., & van der Zee, K. G. (2022). Linearization of the Travel Time Functional in Porous Media Flows. SIAM Journal on Scientific Computing, 44(3), B531-B557. https://doi.org/10.1137/21M1451105

The travel time functional measures the time taken for a particle trajectory to travel from a given initial position to the boundary of the domain. Such evaluation is paramount in the postclosure safety assessment of deep geological storage facilitie... Read More about Linearization of the Travel Time Functional in Porous Media Flows.

Activation of indistinguishability-based quantum coherence for enhanced metrological applications with particle statistics imprint (2022)
Journal Article
Sun, K., Liu, Z.-H., Wang, Y., Hao, Z.-Y., Xu, X.-Y., Xu, J.-S., …Lo Franco, R. (2022). Activation of indistinguishability-based quantum coherence for enhanced metrological applications with particle statistics imprint. Proceedings of the National Academy of Sciences, 119(21), Article e2119765119. https://doi.org/10.1073/pnas.211976511

Quantum coherence, an essential feature of quantum mechanics allowing quantum superposition of states, is a resource for quantum information processing. Coherence emerges in a fundamentally different way for nonidentical and identical particles. For... Read More about Activation of indistinguishability-based quantum coherence for enhanced metrological applications with particle statistics imprint.