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Outputs (8)

A surrogate model for the economic evaluation of renewable hydrogen production from biomass feedstocks via supercritical water gasification (2023)
Journal Article
Rodgers, S., Bowler, A., Wells, L., Siah Lee, C., Hayes, M., Poulston, S., …Conradie, A. (2024). A surrogate model for the economic evaluation of renewable hydrogen production from biomass feedstocks via supercritical water gasification. International Journal of Hydrogen Energy, 49(A), 277-294. https://doi.org/10.1016/j.ijhydene.2023.08.016

Supercritical water gasification is a promising technology for renewable hydrogen production from high moisture content biomass. This work produces a machine learning surrogate model to predict the Levelised Cost of Hydrogen over a range of biomass c... Read More about A surrogate model for the economic evaluation of renewable hydrogen production from biomass feedstocks via supercritical water gasification.

Bayesian and ultrasonic sensor aided multi-objective optimisation for sustainable clean-in-place processes (2023)
Journal Article
Bowler, A. L., Rodgers, S., Cook, D. J., & Watson, N. J. (2023). Bayesian and ultrasonic sensor aided multi-objective optimisation for sustainable clean-in-place processes. Food and Bioproducts Processing, 141, 23-35. https://doi.org/10.1016/j.fbp.2023.06.010

In food and drink manufacturing, clean-in-place procedures are essential for hygienic and efficient operations but often over-clean process equipment leading to unnecessary use of energy, water, and chemicals. Previous attempts in the literature to o... Read More about Bayesian and ultrasonic sensor aided multi-objective optimisation for sustainable clean-in-place processes.

Changes in medication safety indicators in England throughout the covid-19 pandemic using OpenSAFELY: population based, retrospective cohort study of 57 million patients using federated analytics (2023)
Journal Article
Fisher, L., Hopcroft, L. E., Rodgers, S., Barrett, J., Oliver, K., Avery, A. J., …MacKenna, B. (2023). Changes in medication safety indicators in England throughout the covid-19 pandemic using OpenSAFELY: population based, retrospective cohort study of 57 million patients using federated analytics. BMJ Medicine, 2(1), Article e000392. https://doi.org/10.1136/bmjmed-2022-000392

Objective: To implement complex, PINCER (pharmacist led information technology intervention) prescribing indicators, on a national scale with general practice data to describe the impact of the covid-19 pandemic on safe prescribing. Design: Popula... Read More about Changes in medication safety indicators in England throughout the covid-19 pandemic using OpenSAFELY: population based, retrospective cohort study of 57 million patients using federated analytics.

Probabilistic commodity price projections for unbiased techno-economic analyses (2023)
Journal Article
Rodgers, S., Bowler, A., Meng, F., Poulston, S., McKechnie, J., & Conradie, A. (2023). Probabilistic commodity price projections for unbiased techno-economic analyses. Engineering Applications of Artificial Intelligence, 122, Article 106065. https://doi.org/10.1016/j.engappai.2023.106065

Techno-economic analysis is a core methodology for assessing the feasibility of new technologies and processes. The outcome of an analysis is largely dictated by the product's price, as selected by the practitioner. Representative future price distri... Read More about Probabilistic commodity price projections for unbiased techno-economic analyses.

Cost-effectiveness of England's national 'Safe At Home' scheme for reducing hospital admissions for unintentional injury in children aged under 5 (2022)
Journal Article
Jones, M., Hill, T., Coupland, C., Kendrick, D., Akbari, A., Rodgers, S., …Orton, E. (2022). Cost-effectiveness of England's national 'Safe At Home' scheme for reducing hospital admissions for unintentional injury in children aged under 5. Injury Prevention, https://doi.org/10.1136/ip-2022-044698

Background: Injuries in children aged under 5 years most commonly occur in the home and disproportionately affect those living in the most disadvantaged communities. The 'Safe at Home' (SAH) national home safety equipment scheme, which ran in England... Read More about Cost-effectiveness of England's national 'Safe At Home' scheme for reducing hospital admissions for unintentional injury in children aged under 5.

Scaling-up a pharmacist-led information technology intervention (PINCER) to reduce hazardous prescribing in general practices: Multiple interrupted time series study (2022)
Journal Article
Rodgers, S., Taylor, A. C., Roberts, S. A., Allen, T., Ashcroft, D. M., Barrett, J., …Avery, A. J. (2022). Scaling-up a pharmacist-led information technology intervention (PINCER) to reduce hazardous prescribing in general practices: Multiple interrupted time series study. PLoS Medicine, 19(11), Article e1004133. https://doi.org/10.1371/journal.pmed.1004133

Background: We previously reported on a randomised trial demonstrating the effectiveness and cost-effectiveness of a pharmacist-led information technology intervention (PINCER). We sought to investigate whether PINCER was effective in reducing hazard... Read More about Scaling-up a pharmacist-led information technology intervention (PINCER) to reduce hazardous prescribing in general practices: Multiple interrupted time series study.

An evaluation of POSSUM and P-POSSUM scoring in predicting post-operative mortality in a level 1 critical care setting (2014)
Journal Article
Scott, S., Lund, J. N., Gold, S., Elliott, R., Vater, M., Chakrabarty, M. P., …Williams, J. P. (2014). An evaluation of POSSUM and P-POSSUM scoring in predicting post-operative mortality in a level 1 critical care setting. BMC Anesthesiology, 14(1), Article 104. https://doi.org/10.1186/1471-2253-14-104

Background POSSUM and P-POSSUM are used in the assessment of outcomes in surgical patients. Neither scoring systems’ accuracy has been established where a level 1 critical care facility (level 1 care ward) is available for perioperative care. We c... Read More about An evaluation of POSSUM and P-POSSUM scoring in predicting post-operative mortality in a level 1 critical care setting.