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Welcome to Edinburgh Napier Research Repository

The ‘Research Repository’ is the open access institutional repository of Edinburgh Napier 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.

Whenever possible, refereed documents accepted for publication, or finished artistic compositions presented in public, will be made available here in full digital format, and hyperlinks to standard published versions will be provided. Any questions about submissions to the repository or problems with access to any of its content should be sent to the Repository Team at repository@napier.ac.uk



Latest Additions

Audio Occlusion Experiment Data (2025)
Data
McSeveney, S., Tamariz, M., McGregor, I., Koniaris, B., & Mitchell, K. (2025). Audio Occlusion Experiment Data. [Data]

This dataset comprises anonymous user study participant responses of audio occlusion to investigate presence response of body occlusions in the presence of sound sources in the direct path between the person and the audio driver speaker.

A logic model and multinational consensus definition of primary palliative care in sub-Saharan Africa (2025)
Journal Article
Afolabi, O., Peeler, A., Nkhoma, K., Evans, C., Abboah-Offei, M., Namisango, E., Mensah, A. B. B., Bates, J., van Breevoort, D., Kwaitana, D., Mnenula, M., Opare-Lokko, E. A., Chifamba, D., Mupaza, L., Farrant, L., Hunter, J., & Harding, R. (online). A logic model and multinational consensus definition of primary palliative care in sub-Saharan Africa. Journal of Pain and Symptom Management, https://doi.org/10.1016/j.jpainsymman.2025.03.018

Background
The number of people needing palliative care is rapidly increasing in sub-Saharan Africa (SSA) . Healthcare systems in SSA are heterogenous, so broadly defining and operationalizing primary palliative care is a major obstacle to achieving... Read More about A logic model and multinational consensus definition of primary palliative care in sub-Saharan Africa.

Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques (2025)
Journal Article
Konstantinou, A., Kasimatis, D., Buchanan, W. J., Ullah Jan, S., Ahmad, J., Politis, I., & Pitropakis, N. (2025). Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques. Machine Learning and Knowledge Extraction, 7(2), Article 31. https://doi.org/10.3390/make7020031

This paper explores the potential use of Large Language Models (LLMs), such as ChatGPT, Google Gemini, and Microsoft Copilot, in threat hunting, specifically focusing on Living off the Land (LotL) techniques. LotL methods allow threat actors to blend... Read More about Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques.