Skip to main content

Research Repository

Advanced Search


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

Unravelling facilitation complexity in community pharmacy: a pragmatic tool for implementation strategy selection. (2025)
Journal Article
GRAHAM, E.L., AMADOR-FERNÁNDEZ, N., BENRIMOJ, S.I., MARTÍNEZ-MARTÍNEZ, F., PALOMO-LLINARES, R., SÁNCHEZ-TORMO, J., BAIXAULI-FERNÁNDEZ, V.J., COLOMER-MOLINA, V., PÉREZ-HOYOS, E., GASTELURRUTIA, M.A., CUNNINGHAM, S. AND GARCÍA-CÁRDENAS, V. 2025. Unravelling facilitation complexity in community pharmacy: a pragmatic tool for implementation strategy selection. Research in social and administrative pharmacy [online], In Press. Available from: https://doi.org/10.1016/j.sapharm.2025.02.002

Pharmacy practice is becoming increasingly patient-centric with the development of community pharmacy services. Their implementation appears to be affected by causal relationships and interdependencies of determinants. To address these determinants,... Read More about Unravelling facilitation complexity in community pharmacy: a pragmatic tool for implementation strategy selection..

Motivations for investing in flood risk environments: an agreement analysis between property investors and estate agents. (2025)
Journal Article
OYETUNJI, A.K., OLUKOLAJO, M.A. and NDUDIRIM, N. [2025]. Motivations for investing in flood risk environments: an agreement analysis between property investors and estate agents. International journal of disaster risk reduction [online], In Press, article number 105304. Available from: https://doi.org/10.1016/j.ijdrr.2025.105304

Landed property often exhibits scarcity and strong demand, especially in the most sought-after places. Therefore, real estate investors may be attracted to locations such as flood-risk areas that may pose a substantial threat to human life and proper... Read More about Motivations for investing in flood risk environments: an agreement analysis between property investors and estate agents..

Binary quantization vision transformer for effective segmentation of red tide in multi-spectral remote sensing imagery. (2025)
Journal Article
XIE, Y., HOU, X., REN, J., ZHANG, X., MA, C. and ZHENG, J. [2025]. Binary quantization vision transformer for effective segmentation of red tide in multi-spectral remote sensing imagery. IEEE Transactions on geoscience and remote sensing [online], Early Access. Available from: https://doi.org/10.1109/TGRS.2025.3540784

As a global marine disaster, red tides pose serious threats to marine ecology and the blue economy, making their monitoring crucial for preventing harmful algal blooms and protecting the marine environment. In this study, satellite remote sensing was... Read More about Binary quantization vision transformer for effective segmentation of red tide in multi-spectral remote sensing imagery..

iSee: advancing multi-shot explainable AI using case-based recommendations. (2024)
Presentation / Conference Contribution
WIJEKOON, A., WIRATUNGA, N., CORSAR, D., MARTIN, K., NKISI-ORJI, I., PALIHAWADANA, C., CARO-MARTÍNEZ, M., DÍAZ-AGUDO, B., BRIDGE, D. and LIRET, A. 2024. iSee: advancing multi-shot explainable AI using case-based recommendations. In Endriss, U., Melo, F.S., Bach, K., et al. (eds.) ECAI 2024: proceedings of the 27th European conference on artificial intelligence, co-located with the 13th conference on Prestigious applications of intelligent systems (PAIS 2024), 19–24 October 2024, Santiago de Compostela, Spain. Frontiers in artificial intelligence and applications, 392. Amsterdam: IOS Press [online], pages 4626-4633. Available from: https://doi.org/10.3233/FAIA241057

Explainable AI (XAI) can greatly enhance user trust and satisfaction in AI-assisted decision-making processes. Recent findings suggest that a single explainer may not meet the diverse needs of multiple users in an AI system; indeed, even individual u... Read More about iSee: advancing multi-shot explainable AI using case-based recommendations..

Quantitation and error measurements in dose-response curves. (2025)
Journal Article
SRINIVASAN, B. and LLOYD, M.D. 2025. Quantitation and error measurements in dose-response curves. Journal of medicinal chemistry [online], 68(3), pages 2052-2056. Available from: https://doi.org/10.1021/acs.jmedchem.5c00131

In contemporary early drug discovery, reliance on parameter measurements from dose–response studies constitute the backbone of structure–activity relationship (SAR)-based optimization of small-molecules. Our previous editorial dealt with basic know-h... Read More about Quantitation and error measurements in dose-response curves..