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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

Model refinements with experimental validation in piezoelectric plate actuators (2024)
Journal Article
Popov, A., Gungordu, B., & Jabbal, M. (in press). Model refinements with experimental validation in piezoelectric plate actuators. Journal of Sound and Vibration, Article 118462. https://doi.org/10.1016/j.jsv.2024.118462

The axisymmetric vibration analysis of circular plates with piezoelectric layers and step changes in plate thickness is conducted. For the chosen configurations, it is necessary to solve a coupled system of differential equations for extensional and... Read More about Model refinements with experimental validation in piezoelectric plate actuators.

Differentiating between harm to users and third parties in the UK’s Online Safety regulations: The phenomena of TikTok Frenzies (2024)
Presentation / Conference
Colegate, E. (2024, April). Differentiating between harm to users and third parties in the UK’s Online Safety regulations: The phenomena of TikTok Frenzies. Paper presented at Conference Name: 'Digital and Green: Twin Transitions?' British and Irish Law Education and Technology Association 39th Annual Conference, Dublin, Ireland

When concentrated discussion centres on online harms and the harms experienced online as a consequence of interactions, research and regulatory initiatives focus on the individual user interacting with the content. Whilst it is well documented that t... Read More about Differentiating between harm to users and third parties in the UK’s Online Safety regulations: The phenomena of TikTok Frenzies.

Development and validation of a new algorithm for improved cardiovascular risk prediction (2024)
Journal Article
Hippisley-Cox, J., Coupland, C. A. C., Bafadhel, M., Russell, R. E. K., Sheikh, A., Brindle, P., & Channon, K. M. (2024). Development and validation of a new algorithm for improved cardiovascular risk prediction. Nature Medicine, https://doi.org/10.1038/s41591-024-02905-y

QRISK algorithms use data from millions of people to help clinicians identify individuals at high risk of cardiovascular disease (CVD). Here, we derive and externally validate a new algorithm, which we have named QR4, that incorporates novel risk fac... Read More about Development and validation of a new algorithm for improved cardiovascular risk prediction.

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