Depressive symptoms in adolescence and adult educational and employment outcomes: A structured life course analysis (2024)
Journal Article
López-López, J., Tilling, K., Pearson, R., Fazel, M., Washbrook, E., Zhu, Y., …Smith, A. (in press). Depressive symptoms in adolescence and adult educational and employment outcomes: A structured life course analysis. Psychological Medicine, https://doi.org/10.1017/S0033291724001090

Depression is a common mental health disorder which often starts during adolescence, with potentially important future consequences including ‘Not in Education, Employment or Training’ (NEET) status. In this study, we took a structured life course mo... Read More about Depressive symptoms in adolescence and adult educational and employment outcomes: A structured life course analysis.

Developing emotional preparedness and mental resilience through high-fidelity simulation: A ‘bridge too far’ for institutions teaching major trauma management and mass-casualty medicine? (2024)
Journal Article
Smith, A. D., Newton, J., & Smith, A. (2024). Developing emotional preparedness and mental resilience through high-fidelity simulation: A ‘bridge too far’ for institutions teaching major trauma management and mass-casualty medicine?. BMC Medical Education, 24(1), Article 544. https://doi.org/10.1186/s12909-024-05526-8

Background: Clinical acumen represents only part of being adequately equipped to attend a major incident. The emotive sights, sounds and smells of these dynamic environments are all-encompassing experiences, and responders must also be armed with the... Read More about Developing emotional preparedness and mental resilience through high-fidelity simulation: A ‘bridge too far’ for institutions teaching major trauma management and mass-casualty medicine?.

Changes in attitudes towards telemedicine in acute burn care following the Covid-19 pandemic   (2024)
Journal Article
Goh, E., Press, I., Anquandah, J., White, P., & Pleat, J. (in press). Changes in attitudes towards telemedicine in acute burn care following the Covid-19 pandemic  . Burns, https://doi.org/10.1016/j.burns.2024.05.012

Background Telemedical referrals after burn injury had been shown to be advantageous over telephone referrals for multiple reasons, however there were several key barriers towards complete implementation. The Covid-19 pandemic facilitated the adopt... Read More about Changes in attitudes towards telemedicine in acute burn care following the Covid-19 pandemic  .

Understanding women’s decision making for and against oncoplastic breast conserving surgery as an alternative to mastectomy in early breast cancer: UK ANTHEM qualitative study (2024)
Journal Article
Davies, C., Conefrey, C., Mills, N., Fairbrother, P., Holcombe, C., Whisker, L., …Potter, S. (in press). Understanding women’s decision making for and against oncoplastic breast conserving surgery as an alternative to mastectomy in early breast cancer: UK ANTHEM qualitative study. British Journal of Surgery,

ABSTRACT Background: Oncoplastic breast conserving surgery (OPBCS) may allow women with early breast cancer to avoid mastectomy, but many women choose more extensive surgery even when breast conserving options are offered. Reasons for this are un... Read More about Understanding women’s decision making for and against oncoplastic breast conserving surgery as an alternative to mastectomy in early breast cancer: UK ANTHEM qualitative study.

How well do parents identify their child's baby teeth? Engagement and accuracy of parent-reported information on a tooth checklist survey (2024)
Journal Article
Le Luyer, M., Boll, M., Lemmers, S., Stoll, S., Hoffnagle, A., Smith, A., & Dunn, E. (in press). How well do parents identify their child's baby teeth? Engagement and accuracy of parent-reported information on a tooth checklist survey. Community Dentistry and Oral Epidemiology, https://doi.org/10.1111/cdoe.12971

Objectives: Naturally exfoliated primary teeth are being increasingly collected in child development studies. Most of these odontological collections and tooth biobanks use parent-reported information from questionnaires or tooth checklists to collec... Read More about How well do parents identify their child's baby teeth? Engagement and accuracy of parent-reported information on a tooth checklist survey.

The relationship between type, timing and duration of exposure to adverse childhood experiences and adolescent self-harm and depression: Findings from three UK prospective population-based cohorts (2024)
Journal Article
Farooq, B., Russell, A., Howe, L., Herbert, A., Smith, A., Fisher, H., …Mars, B. (in press). The relationship between type, timing and duration of exposure to adverse childhood experiences and adolescent self-harm and depression: Findings from three UK prospective population-based cohorts. Journal of Child Psychology and Psychiatry, https://doi.org/10.1111/jcpp.13986

Background: Adverse childhood experiences (ACEs) are well-established risk factors for self-harm and depression. However, despite their high comorbidity, there has been little focus on the impact of developmental timing and the duration of exposure t... Read More about The relationship between type, timing and duration of exposure to adverse childhood experiences and adolescent self-harm and depression: Findings from three UK prospective population-based cohorts.

Project-based learning integrated with e-Assessment (2024)
Journal Article
Derrick, B., & Weir, I. (2024). Project-based learning integrated with e-Assessment. MSOR Connections, 22(2), 12-20. https://doi.org/10.21100/msor.v22i2

This paper explores a recent move towards project-based learning for a first-year undergraduate statistics module at the University of the West of England, Bristol. The course is aimed at students specialising in Mathematics and Statistics. A classro... Read More about Project-based learning integrated with e-Assessment.

Computational modelling of dynamic cAMP responses to GPCR agonists for exploration of GLP-1R ligand effects in pancreatic β-cells and neurons (2024)
Journal Article
Bridge, L., Chen, S., & Jones, B. (2024). Computational modelling of dynamic cAMP responses to GPCR agonists for exploration of GLP-1R ligand effects in pancreatic β-cells and neurons. Cellular Signalling, 119, Article 111153. https://doi.org/10.1016/j.cellsig.2024.111153

The glucagon-like peptide-1 receptor (GLP-1R) is a class B G protein-coupled receptor (GPCR) which plays important physiological roles in insulin release and promoting fullness. GLP-1R agonists initiate cellular responses by cyclic AMP (cAMP) pathway... Read More about Computational modelling of dynamic cAMP responses to GPCR agonists for exploration of GLP-1R ligand effects in pancreatic β-cells and neurons.

Diagnosing and remediating mathematical common student errors in e-assessment questions (A case study) (2024)
Presentation / Conference
Sikurajapathi, B., Henderson, K., & Gwynllyw, R. (2024, March). Diagnosing and remediating mathematical common student errors in e-assessment questions (A case study). Presented at Mathematics Education Seminar Series, University of Bristol

Mistakes and misconceptions in mathematics are as prevalent as those in any real-life situation. The errors frequently made by myriad students, known as Common Student Errors (CSEs), heavily influence their ability to learn and retain mathematics. Id... Read More about Diagnosing and remediating mathematical common student errors in e-assessment questions (A case study).

The inadvertently revealing statistic: A systemic gap in statistical training? (2024)
Journal Article
Derrick, B., Green, E., Ritchie, F., Smith, J., & White, P. (2024). The inadvertently revealing statistic: A systemic gap in statistical training?. Significance, 21(1), 24-27. https://doi.org/10.1093/jrssig/qmae009

While concerns around data privacy are well-known, there's a lack of awareness and training when it comes to the confidentiality risk of published statistics, argue Ben Derrick, Elizabeth Green, Felix Ritchie, Jim Smith, Paul White

Explainable NLP model for predicting patient admissions at emergency department using triage notes (2024)
Conference Proceeding
Arnaud, E., Elbattah, M., Moreno-Sánchez, P. A., Dequen, G., & Ghazali, D. A. (2024). Explainable NLP model for predicting patient admissions at emergency department using triage notes. In 2023 IEEE International Conference on Big Data (BigData) (4843-4847). https://doi.org/10.1109/bigdata59044.2023.10386753

Explainable Artificial Intelligence (XAI) has the potential to revolutionize healthcare by providing more transparent, trustworthy, and understandable predictions made by AI models. To this end, the present study aims to develop an explainable NLP mo... Read More about Explainable NLP model for predicting patient admissions at emergency department using triage notes.