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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

Confessions: consensus in idem? (2002)
Journal Article
TAYLOR, L.J. and HENDERSON, S.E. 2002. Confessions: consensus in idem? Scots law times [online], 2002(40), pages 325-327. Available from: https://uk.westlaw.com

Examines the law on extra judicial confessions and their admissibility from the point of view of forensic psychology. Discusses the contextual background and identifies three types of false confessions described as voluntary, coerced compliant and co... Read More about Confessions: consensus in idem?.

How long do you think? Unresponsive dying patients in a specialist palliative care service: a consecutive cohort study. (2024)
Journal Article
O'CONNOR, T., LIU, W.-M., SAMARA, J., LEWIS, J. and PATERSON, C. 2024. How long do you think? Unresponsive dying patients in a specialist palliative care service: a consecutive cohort study. Palliative medicine [online], Ahead of Print. Available from: https://doi.org/10.1177/02692163241238

Predicting length of time to death once the person is unresponsive and deemed to be dying remains uncertain. Knowing approximately how many hours or days dying loved ones have left is crucial for families and clinicians to guide decision-making and p... Read More about How long do you think? Unresponsive dying patients in a specialist palliative care service: a consecutive cohort study..

High precision state of health estimation of lithium-ion batteries based on strong correlation aging feature extraction and improved hybrid kernel function least squares support vector regression machine model. (2024)
Journal Article
FENG, R., WANG, S., YU, C., HAI, N. and FERNANDEZ, C. 2024. High precision state of health estimation of lithium-ion batteries based on strong correlation aging feature extraction and improved hybrid kernel function least squares support vector regression machine model. Journal of energy storage [online], 90(part A), article number 111834. Available from: https://doi.org/10.1016/j.est.2024.111834

The state of health (SOH) of lithium-ion batteries plays a crucial role in maintaining the stability of electric vehicle systems. To address the issue of low accuracy in existing prediction models, this article introduces an enhanced grey wolf algori... Read More about High precision state of health estimation of lithium-ion batteries based on strong correlation aging feature extraction and improved hybrid kernel function least squares support vector regression machine model..

Living through the pandemic in post-Brexit Britain: emotional damage and resilience among middle-aged European citizens. (2022)
Presentation / Conference
RUGGERONE, L. and HACKETT, C. 2022. Living through the pandemic in post-Brexit Britain: emotional damage and resilience among middle-aged European citizens. Presented at the 117th Annual meeting of the American Sociological Association (ASA 2022), 5-9 August 2022, Los Angeles, USA.

This study examines the effects of the Coronavirus epidemic and Brexit on the emotional wellbeing of middle aged European citizens who have transnational caring responsibilities in the UK and in Europe. This qualitative research aims to produce an in... Read More about Living through the pandemic in post-Brexit Britain: emotional damage and resilience among middle-aged European citizens..

Enhancing the construction of attacker personas in cybersecurity software designs using case law-based facts. [Preprint] (2024)
Working Paper
ILESANMI, O., FAILY, S., NICHO, M. and MCDERMOTT, C. 2024. Enhancing the construction of attacker personas in cybersecurity software designs using case law-based facts. [Preprint]. Hosted on SSRN [online]. Available from: https://doi.org/10.2139/ssrn.4812698

Thwarting potential attackers is always at the heart of cybersecurity software designs. This interdisciplinary paper in computing science and law investigates the possibility of building attacker personas through reliance on case law facts. To combat... Read More about Enhancing the construction of attacker personas in cybersecurity software designs using case law-based facts. [Preprint].