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Female entrepreneurs’ motivations, intentions and barriers in Higher Education: A case study from Team Academy Bristol (2023)
Book Chapter
Urzelai, B., Caple, L., & Watkins, S. (2023). Female entrepreneurs’ motivations, intentions and barriers in Higher Education: A case study from Team Academy Bristol. In J. H. Block, J. Halberstadt, N. Högsdal, A. Kuckertz, & H. Neergaard (Eds.), Progress in Entrepreneurship Education and Training: New Methods, Tools, and Lessons Learned from Practice (223-241). Springer. https://doi.org/10.1007/978-3-031-28559-2_15

The objective of this study is to examine factors contributing to entrepreneurial intention, motivation and barriers among female university students. For this, we take a case study approach and focus on a Team Academy undergraduate degree programme... Read More about Female entrepreneurs’ motivations, intentions and barriers in Higher Education: A case study from Team Academy Bristol.

Lost in the fog: The bewildering language of assessment (2023)
Digital Artefact
Minett-Smith, C., Bennett, L., Hassler, S., & Eve, J. (in press). Lost in the fog: The bewildering language of assessment. [Blog post]

A SEDA blog written jointly by the contributors to a QAA Project on the Language of Assessment which resulted in the creation of a toolkit to support both creators of assessments and students in the common points of the assessment journey. The toolk... Read More about Lost in the fog: The bewildering language of assessment.

Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction (2022)
Journal Article
Oyedele, A. A., Ajayi, A., Oyedele, A., Bello, S., & Oyedele, L. (2023). Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction. Expert Systems with Applications, 213(Part C), Article 119233. https://doi.org/10.1016/j.eswa.2022.119233

The emergence of cryptocurrencies has drawn significant investment capital in recent years with an exponential increase in market capitalization and trade volume. However, the cryptocurrency market is highly volatile and burdened with substantial het... Read More about Performance evaluation of deep learning and boosted trees for cryptocurrency closing price prediction.

Robotics in construction: A critical review of the reinforcement learning and imitation learning paradigms (2022)
Journal Article
Davila Delgado, M., & Oyedele, L. (2022). Robotics in construction: A critical review of the reinforcement learning and imitation learning paradigms. Advanced Engineering Informatics, 54, Article 101787. https://doi.org/10.1016/j.aei.2022.101787

The reinforcement and imitation learning paradigms have the potential to revolutionise robotics. Many successful developments have been reported in literature; however, these approaches have not been explored widely in robotics for construction. The... Read More about Robotics in construction: A critical review of the reinforcement learning and imitation learning paradigms.

Climate action hub: Empowering youth engagement project report (2022)
Report
Laggan, S., Davies, L., Fogg-Rogers, L., Portus, R., Adkins, D., & Williams, S. Climate action hub: Empowering youth engagement project report. UKRI HEIF

This report summarises the knowledge exchange activities of the CAH-OOT project: Climate Action Hub - empOwering yOuth engagemenT. This project, funded by a joint faculty award from the Higher Education Innovation Fund (HEIF), enabled representatives... Read More about Climate action hub: Empowering youth engagement project report.

POS0003 Development and validation of a disease specific patient reported outcome for giant cell arteritis (2022)
Conference Proceeding
Robson, J., Almeida, C., Dawson, J., Dures, E., Greenwood, R., Guly, C., …Ndosi, M. (2022). POS0003 Development and validation of a disease specific patient reported outcome for giant cell arteritis. . https://doi.org/10.1136/annrheumdis-2022-eular.1769

Background Giant cell arteritis (GCA) is caused by inflammation of the blood vessels of the head and neck; patients can present with cranial, ocular or large vessel vasculitis involvement. Treatment is with glucocorticoids, steroid sparing agents a... Read More about POS0003 Development and validation of a disease specific patient reported outcome for giant cell arteritis.

P301 Patient reported outcome measure for giant cell arteritis: Clinical testing (2022)
Journal Article
Almeida, C., Guly, C., Mackie, S., Bromhead, A., Stern, S., Dures, E., …Robson, J. C. (2022). P301 Patient reported outcome measure for giant cell arteritis: Clinical testing. Rheumatology, 61(Supplement_1), Article keac133.300. https://doi.org/10.1093/rheumatology/keac133.300

Background/Aims Giant cell arteritis (GCA) presents in people over 50, with headaches, visual involvement and large vessel vasculitis. A 30-item GCA-specific patient reported outcome measure (GCA PRO) was developed and tested in a clinical setting t... Read More about P301 Patient reported outcome measure for giant cell arteritis: Clinical testing.

Life cycle optimisation of building retrofitting considering climate change effects (2022)
Journal Article
Luo, X. J., & Oyedele, L. O. (2022). Life cycle optimisation of building retrofitting considering climate change effects. Energy and Buildings, 258, 111830. https://doi.org/10.1016/j.enbuild.2022.111830

Novelty: Climate change has significant impacts on building energy performance. A novel life cycle optimisation strategy is developed for determining optimal retrofitting solutions for office buildings with climate change effects taken into considera... Read More about Life cycle optimisation of building retrofitting considering climate change effects.