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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

Optimal timing of anticoagulation after acute ischaemic stroke with atrial fibrillation (OPTIMAS): a multicentre, blinded-endpoint, phase 4, randomised controlled trial (2024)
Journal Article
Werring, D. J., Dehbi, H.-M., Ahmed, N., Arram, L., Best, J. G., Balogun, M., Bennett, K., Bordea, E., Caverly, E., Chau, M., Cohen, H., Cullen, M., Doré, C. J., Engelter, S. T., Fenner, R., Ford, G. A., Gill, A., Hunter, R., James, M., Jayanthi, A., …Freemantle, N. (2024). Optimal timing of anticoagulation after acute ischaemic stroke with atrial fibrillation (OPTIMAS): a multicentre, blinded-endpoint, phase 4, randomised controlled trial. Lancet, https://doi.org/10.1016/S0140-6736%2824%2902197-4

Background
The optimal timing of anticoagulation for patients with acute ischaemic stoke with atrial fibrillation is uncertain. We investigated the efficacy and safety of early compared with delayed initiation of direct oral anticoagulants (DOACs)... Read More about Optimal timing of anticoagulation after acute ischaemic stroke with atrial fibrillation (OPTIMAS): a multicentre, blinded-endpoint, phase 4, randomised controlled trial.

Using double-debiased machine learning to estimate the impact of Covid-19 vaccination on mortality and staff absences in elderly care homes (2024)
Journal Article
Girma, S., & Paton, D. (2024). Using double-debiased machine learning to estimate the impact of Covid-19 vaccination on mortality and staff absences in elderly care homes. European Economic Review, 170, Article 104882. https://doi.org/10.1016/j.euroecorev.2024.104882

Machine learning approaches provide an alternative to traditional fixed effects estimators in causal inference. In particular, double-debiased machine learning (DDML) can control for confounders without making subjective judgements about appropriate... Read More about Using double-debiased machine learning to estimate the impact of Covid-19 vaccination on mortality and staff absences in elderly care homes.

Professional Learning Through Arts-inspired Collaborative Self-Study: Growing From The Inside Out With Rippling Effect (2024)
Journal Article
Pithouse-Morgan, K., Van Laren, L., & Masinga, L. (in press). Professional Learning Through Arts-inspired Collaborative Self-Study: Growing From The Inside Out With Rippling Effect. Studying Teacher Education,

Self-study research challenges professionals to closely examine their practices, the decisions and actions that shape them, and their commitment to their own development. Focusing on the self is not about navel-gazing but deepening professional learn... Read More about Professional Learning Through Arts-inspired Collaborative Self-Study: Growing From The Inside Out With Rippling Effect.

The relationship between entrepreneurial energy efficiency orientation and carbon footprint reduction: The mediating role of green networking and identification of barriers to green practices (2023)
Journal Article
Adu, D. A., Haviour Chen, X., Hasan, M., Zhu, X., & Jellason, N. (2023). The relationship between entrepreneurial energy efficiency orientation and carbon footprint reduction: The mediating role of green networking and identification of barriers to green practices. Journal of Environmental Management, 347, Article 119256. https://doi.org/10.1016/j.jenvman.2023.119256

Motivated by the growing attention to climate change and the crucial role businesses could play in reducing greenhouse gas emissions, this study investigates entrepreneurial energy efficiency orientation in the context of carbon footprint reduction i... Read More about The relationship between entrepreneurial energy efficiency orientation and carbon footprint reduction: The mediating role of green networking and identification of barriers to green practices.