Skip to main content

Research Repository

Advanced Search


Welcome to Repository@Nottingham

The Repository@Nottingham is intended to be an Open Access showcase for the published research output of the university. Whenever possible, refereed documents accepted for publication, or finished artistic compositions presented in public, will be made available here in full digital format, and hyperlinks to standard published versions will be provided. See our Policies for further information.



Latest Additions

Epidemiological Analysis of Suicidal Behaviour in Spain from 2017 to 2022 and Comparative Perspectives with Japan: A Retrospective Observational Study (2025)
Journal Article
Martínez-Rives, N. L., Babu, H. W., Kotera, Y., Martin, P., Colman, R. D., & Gilmour, S. (2025). Epidemiological Analysis of Suicidal Behaviour in Spain from 2017 to 2022 and Comparative Perspectives with Japan: A Retrospective Observational Study. Healthcare, 13(5), Article 451. https://doi.org/10.3390/healthcare13050451

Background: Suicide is a significant public health issue globally. The patterns and disparities in suicide rates may have changed with the onset of the COVID-19 pandemic. Using epidemiological comparative studies, we can identify how suicide incidenc... Read More about Epidemiological Analysis of Suicidal Behaviour in Spain from 2017 to 2022 and Comparative Perspectives with Japan: A Retrospective Observational Study.

Measuring the Intracluster Light Fraction with Machine Learning (2025)
Journal Article
Canepa, L., Brough, S., Lanusse, F., Montes, M., & Hatch, N. (2025). Measuring the Intracluster Light Fraction with Machine Learning. Astrophysical Journal, 980(2), Article 245. https://doi.org/10.3847/1538-4357/adabc7

The intracluster light (ICL) is an important tracer of a galaxy cluster's history and past interactions. However, only small samples have been studied to date due to its very low surface brightness and the heavy manual involvement required for the ma... Read More about Measuring the Intracluster Light Fraction with Machine Learning.

The Linear Association of Chest Radiograph Opacification With Both Respiratory Physiology and Systemic Inflammation in Hospital In‐Patients With Covid‐19 Infection (2025)
Journal Article
Crooks, C., Shaw, D., Card, T., Au‐Yong, I., Higashi, Y., Giannotti, E., & Fogarty, A. (2025). The Linear Association of Chest Radiograph Opacification With Both Respiratory Physiology and Systemic Inflammation in Hospital In‐Patients With Covid‐19 Infection. Clinical Respiratory Journal, 19(2), Article e70056. https://doi.org/10.1111/crj.70056

Background

Chest radiographs are generally used for diagnostic purposes. They also have potential to quantify disease severity. This analysis tested the hypothesis that there was an association between chest radiograph opacification and measures o... Read More about The Linear Association of Chest Radiograph Opacification With Both Respiratory Physiology and Systemic Inflammation in Hospital In‐Patients With Covid‐19 Infection.

A Comparison of the Mechanical Properties of ECM Components and Synthetic Self‐Assembling Peptides (2025)
Journal Article
Hartley, A., Williams, P. M., & Mata, A. (in press). A Comparison of the Mechanical Properties of ECM Components and Synthetic Self‐Assembling Peptides. Advanced Healthcare Materials, Article 2402385. https://doi.org/10.1002/adhm.202402385

The field of tissue engineering is increasingly moving away from a one-size-fits-all approach of simple synthetic homogeneous gels, and embracing more tailored designs to optimize cell function and differentiation for the organ of interest. Extracell... Read More about A Comparison of the Mechanical Properties of ECM Components and Synthetic Self‐Assembling Peptides.