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A review on micromechanical modelling of progressive failure in unidirectional fibre-reinforced composites (2023)
Journal Article
Wan, L., Ismail, Y., Sheng, Y., Ye, J., & Yang, D. (2023). A review on micromechanical modelling of progressive failure in unidirectional fibre-reinforced composites. Composites Part C: Open Access, 10, Article 100348. https://doi.org/10.1016/j.jcomc.2023.100348

The recent decades have seen various attempts at the numerical modelling of fibre-reinforced polymer (FRP) composites in the aerospace, auto and marine sectors due to their excellent mechanical properties. However, it is still challenging to accurate... Read More about A review on micromechanical modelling of progressive failure in unidirectional fibre-reinforced composites.

A theoretical analysis of the scale separation in a model to predict solid tumour growth (2022)
Journal Article
de Melo Quintela, B., Hervas-Raluy, S., Garcia-Aznar, J. M., Walker, D., Wertheim, K. Y., & Viceconti, M. (2022). A theoretical analysis of the scale separation in a model to predict solid tumour growth. Journal of Theoretical Biology, 547, Article 111173. https://doi.org/10.1016/j.jtbi.2022.111173

Solid tumour growth depends on a host of factors which affect the cell life cycle and extracellular matrix vascularization that leads to a favourable environment. The whole solid tumour can either grow or wither in response to the action of the immun... Read More about A theoretical analysis of the scale separation in a model to predict solid tumour growth.

A multi-approach and multi-scale platform to model CD4+ T cells responding to infections (2021)
Journal Article
Wertheim, K. Y., Puniya, B. L., La Fleur, A., Shah, A. R., Barberis, M., & Helikar, T. (2021). A multi-approach and multi-scale platform to model CD4+ T cells responding to infections. PLoS Computational Biology, 17(8), Article e1009209. https://doi.org/10.1371/journal.pcbi.1009209

Immune responses rely on a complex adaptive system in which the body and infections interact at multiple scales and in different compartments. We developed a modular model of CD4+ T cells, which uses four modeling approaches to integrate processes at... Read More about A multi-approach and multi-scale platform to model CD4+ T cells responding to infections.

PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers (2020)
Journal Article
Martí-Bonmatí, L., Alberich-Bayarri, Á., Ladenstein, R., Blanquer, I., Segrelles, J. D., Cerdá-Alberich, L., …Neri, E. (2020). PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers. European Radiology Experimental, 4(1), https://doi.org/10.1186/s41747-020-00150-9

PRIMAGE is one of the largest and more ambitious research projects dealing with medical imaging, artificial intelligence and cancer treatment in children. It is a 4-year European Commission-financed project that has 16 European partners in the consor... Read More about PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers.

Understanding the impacts of exploitation and fragmentation on the upstream migrating, adult river lamprey (Lampetra fluviatilis [L.]): implications for conservation (2022)
Thesis
Jubb, W. M. (2022). Understanding the impacts of exploitation and fragmentation on the upstream migrating, adult river lamprey (Lampetra fluviatilis [L.]): implications for conservation. (Thesis). University of Hull. Retrieved from https://hull-repository.worktribe.com/output/4186773

Globally, freshwater ecosystems are heavily impacted by anthropogenic pressures, including fragmentation and exploitation. Consequently, many negative impacts are observed on numerous fish populations, especially anadromous species. Currently, there... Read More about Understanding the impacts of exploitation and fragmentation on the upstream migrating, adult river lamprey (Lampetra fluviatilis [L.]): implications for conservation.