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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

Formation integrity evaluation for geosequestration of CO2 in depleted petroleum reservoirs under cyclic stress conditions. (2024)
Journal Article
AMINAHO, E.N., HOSSAIN, M., FAISAL, N.H. and SANAEE, R. [2024]. Formation integrity evaluation for geosequestration of CO2 in depleted petroleum reservoirs under cyclic stress conditions. Geoenergy science and engineering [online], Aritcles in Press. Available from: https://doi.org/10.1016/j.geoen.2024.212892

The geological storage of carbon dioxide (CO2), also referred to as CO2 geosequestration, represents one of the most promising options for reducing greenhouse gases in the atmosphere. However, most of the time, CO2 is captured with small amounts of o... Read More about Formation integrity evaluation for geosequestration of CO2 in depleted petroleum reservoirs under cyclic stress conditions..

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..