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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

Introducing IOS11 as an extended interactive version of the ‘Inclusion of Other in the Self’ scale to estimate relationship closeness (2024)
Journal Article
Baader, M., Starmer, C., Tufano, F., & Gächter, S. (2024). Introducing IOS11 as an extended interactive version of the ‘Inclusion of Other in the Self’ scale to estimate relationship closeness. Scientific Reports, 14(1), Article 8901. https://doi.org/10.1038/s41598-024-58042-6

The study of relationship closeness has a long history in psychology and is currently expanding across the social sciences, including economics. Estimating relationship closeness requires appropriate tools. Here, we introduce and test a tool for esti... Read More about Introducing IOS11 as an extended interactive version of the ‘Inclusion of Other in the Self’ scale to estimate relationship closeness.

The politics of crime, punishment and justice: Exploring the lived reality and enduring legacies of the 1980's radical right (2024)
Book
Farrall, S., & Gray, E. (2024). The politics of crime, punishment and justice: Exploring the lived reality and enduring legacies of the 1980's radical right. Routledge. https://doi.org/10.4324/9781003328339

This book explores the impact of right-wing political ideology on crime, the criminal justice system, and attitudes towards punishment in Britain. Grounded in a rigorous analysis of repeated cross-sectional surveys such as the British Social Attitude... Read More about The politics of crime, punishment and justice: Exploring the lived reality and enduring legacies of the 1980's radical right.

Lifetime consumption and investment with housing, deferred annuities and home equity release (2021)
Journal Article
Jang, C., Owadally, I., Clare, A., & Kashif, M. (2022). Lifetime consumption and investment with housing, deferred annuities and home equity release. Quantitative Finance, 22(1), 129-145. https://doi.org/10.1080/14697688.2021.1993624

We develop a life-cycle optimal investment and consumption model with deferred annuities, housing, mortgages and home equity release. The investor can hold cash, bonds, stocks, annuities and can invest in housing, through renting, purchasing, or a mi... Read More about Lifetime consumption and investment with housing, deferred annuities and home equity release.

Post-Task Responses following Working Memory and Movement are Driven by Transient Spectral Bursts with Similar Characteristics (2024)
Journal Article
Coleman, S. C., Seedat, Z. A., Pakenham, D. O., Quinn, A. J., Brookes, M. J., Woolrich, M. W., & Mullinger, K. J. (in press). Post-Task Responses following Working Memory and Movement are Driven by Transient Spectral Bursts with Similar Characteristics. Human Brain Mapping,

The post-movement beta rebound has been studied extensively using magnetoencephalography (MEG) and is reliably modulated by various task parameters as well as illness. Our recent study showed that rebounds, which we generalise as “post-task responses... Read More about Post-Task Responses following Working Memory and Movement are Driven by Transient Spectral Bursts with Similar Characteristics.

Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach (2024)
Journal Article
Brevis, I., Muga, I., Pardo, D., Rodriguez, O., & Van Der Zee, K. G. (in press). Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach. Computers and Mathematics with Applications,

The efficient approximation of parametric PDEs is of tremendous importance in science and engineering. In this paper, we show how one can train Galerkin discretizations to efficiently learn quantities of interest of solutions to a parametric PDE. The... Read More about Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach.

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