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Welcome to OpenAIR@RGU

OpenAIR@RGU is the open access institutional repository of Robert Gordon University. It contains examples of research outputs produced by staff and research students, as well as related information about the university's funded projects and staff research interests. Further information is available in the repository policy. Any questions about submissions to the repository or problems with access to any of its content should be sent to the Publications Team at publications@rgu.ac.uk



Latest Additions

Analysis of UK repository platforms: who is using what and why? (2025)
Presentation / Conference Contribution
BRAY, G. 2025. Analysis of UK repository platforms: who is using what and why? Presented at the M25 Consortium of Academic Libraries cpd25 event: repositories: where are we now, where do we need to be?, 21 January 2025, [virtual event].

Primarily focusing on the UK Higher Education sector, the author aims to investigate the variety of repository platforms currently in use based on available data from UKCORR. Through an analysis of the data, the author attempts to determine whether t... Read More about Analysis of UK repository platforms: who is using what and why?.

Kinetics during the tuck jump assessment and biomechanical deficits in female athletes 12 months after ACLR surgery. (2025)
Journal Article
KEMBER, L.S., RIEHM, C.D., SCHILLE, A., SLATON, J.A., OLIVER, J.L., MYER, G.D. and LLOYD, R.S. [2025]. Kinetics during the tuck jump assessment and biomechanical deficits in female athletes 12 months after ACLR surgery. American journal of sports medicine [online], Online First. To be made available from: https://doi.org/10.1177/0363546524130

Residual interlimb deficits after anterior cruciate ligament reconstruction (ACLR) can lead to functional maladaptation and increase the risk of reinjury. The tuck jump assessment (TJA) may offer a more effective evaluation of ACLR status as compared... Read More about Kinetics during the tuck jump assessment and biomechanical deficits in female athletes 12 months after ACLR surgery..

Determining timeframes to death for imminently dying patients: a retrospective cohort study. (2025)
Journal Article
O'CONNOR, T., LIU, W.M., SAMARA, J., LEWIS, J., STRICKLAND, K. and PATERSON, C. 2025. Determining timeframes to death for imminently dying patients: a retrospective cohort study. BMC palliative care [online], 24, article number 12. Available from: https://doi.org/10.1186/s12904-024-01637-7

Clinicians are frequently asked 'how long' questions at end-of-life by patients and those important to them, yet predicting timeframes to death remains uncertain, even in the last weeks and days of life. Patients and families wish to know so they can... Read More about Determining timeframes to death for imminently dying patients: a retrospective cohort study..

Devsecops for continuous security in trading software application development: a systematic literature review. (2024)
Journal Article
DASANAYAKE, S.D.L.V., SENANAYAKE, J. and WIJAYANAYAKE, W.M.J.I. 2024. Devsecops for continuous security in trading software application development: a systematic literature review. Journal of desk research review and analysis [online], 2(2), pages 215-232. Available from: https://doi.org/10.4038/jdrra.v2i2.52

This systematic literature review examined the implementation of DevSecOps for continuous security in financial trading software application development. This review identifies key strategies and security frameworks, analyses cybersecurity threats sp... Read More about Devsecops for continuous security in trading software application development: a systematic literature review..

Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. [Dataset] (2025)
Data
AMINAHO, E.N., AMINAHO, N.S., HOSSAIN, M., FAISAL, N.H. and AMINAHO, K.A. [2025]. Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. [Dataset]. Gas science and engineering [online], In Press, article number 205546. Available from: https://doi.org/10.1016/j.jgsce.2025.205546

This study proposed a new sensor calibration methodology and the design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams. Furthermore, machine learning models were developed in this study to explore... Read More about Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. [Dataset].