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All Outputs (207)

Self-care in social work: An imperative or beyond reach? (2025)
Journal Article
Rose, S., McCusker, P., Mitchell, M., Roesch-Marsh, A., Jian, M., & Petrova, L. (online). Self-care in social work: An imperative or beyond reach?. British Journal of Social Work, https://doi.org/10.1093/bjsw/bcae204

In recent years, the self-care of social workers has become a focus for research and practice in recognition of the demands of the social work role. As part of a research project to explore ways to embed self-care into a social work degree programme... Read More about Self-care in social work: An imperative or beyond reach?.

Inflammatory Monocytes Are Rapidly Recruited to the Post-Ischaemic Liver in Patients Undergoing Liver Transplantation and Cytokines Associated with Their Activation Correlate with Graft Outcomes (2025)
Journal Article
Robertson, F. P., Cuff, A. O., Male, V., Wright, G. P., Pallett, L. J., Fuller, B. J., & Davidson, B. R. (2025). Inflammatory Monocytes Are Rapidly Recruited to the Post-Ischaemic Liver in Patients Undergoing Liver Transplantation and Cytokines Associated with Their Activation Correlate with Graft Outcomes. Current Issues in Molecular Biology, 47(1), Article 49. https://doi.org/10.3390/cimb47010049

Liver ischaemia–reperfusion (IR) injury remains a major cause of morbidity and mortality following liver transplantation and resection. CD4+ T cells have been shown to play a key role in murine models; however, there is currently a lack of data that... Read More about Inflammatory Monocytes Are Rapidly Recruited to the Post-Ischaemic Liver in Patients Undergoing Liver Transplantation and Cytokines Associated with Their Activation Correlate with Graft Outcomes.

What mechanism(s) underpin successful risk reduction and lifestyle modification in atrial fibrillation: A realist qualitative study (2025)
Presentation / Conference Contribution
Pearsons, A., Hanson, C., Hendriks, J., & Neubeck, L. (2025, January). What mechanism(s) underpin successful risk reduction and lifestyle modification in atrial fibrillation: A realist qualitative study. Poster presented at Symposium on the Future of Evaluation in Health and Social Care, Newcastle, UK

Introduction: Atrial fibrillation (AF) is the most common abnormal sustained heart rhythm disorder and increases risk of severe disabling stroke fivefold. Those with AF are often highly co-morbid, and a previous realist review by the authors identifi... Read More about What mechanism(s) underpin successful risk reduction and lifestyle modification in atrial fibrillation: A realist qualitative study.

Patient and public perspectives of involvement in cardiovascular research in Scotland, UK. A report of the NHS Research Scotland Heart Engagement And Research Talks (2025)
Journal Article
Mchale, S., Pearsons, A., Hanson, C., Mcauley, M., Simpson, M., Porteous, C., Irvine, V., Houston, R., Henderson, P., & Neubeck, L. (2025). Patient and public perspectives of involvement in cardiovascular research in Scotland, UK. A report of the NHS Research Scotland Heart Engagement And Research Talks. British Journal of Cardiology, 32(1), https://doi.org/10.5837/bjc.2025.002

Background: Cardiovascular disease (CVD) is a leading cause of global mortality, necessitating extensive research efforts. In Scotland, the NHS Research Scotland (NRS) Cardiovascular Network plays a pivotal role in coordinating cardiovascular researc... Read More about Patient and public perspectives of involvement in cardiovascular research in Scotland, UK. A report of the NHS Research Scotland Heart Engagement And Research Talks.

Internal business process governance and external regulation: How does AI technology empower financial performance? (2025)
Journal Article
Cheng, X., Du, A. M., Yan, C., & Goodell, J. W. (2025). Internal business process governance and external regulation: How does AI technology empower financial performance?. International Review of Financial Analysis, 99, Article 103927. https://doi.org/10.1016/j.irfa.2025.103927

We examine the impact of artificial intelligence (AI) technology on the financial performance of financial firms, focusing on the transmission role of business process governance from the perspective of corporate governance. We examine whether there... Read More about Internal business process governance and external regulation: How does AI technology empower financial performance?.

Driving total factor productivity: The spillover effect of digitalization in the new energy supply chain (2025)
Journal Article
Zhang, A., Min Du, A., & Lin, B. (2025). Driving total factor productivity: The spillover effect of digitalization in the new energy supply chain. Research in International Business and Finance, 75, Article 102764. https://doi.org/10.1016/j.ribaf.2025.102764

Digitalization assumes a crucial role in augmenting productivity within the new energy sector. However, whether this impelling effect can permeate the entire supply chain remains to be discussed. This study delves into the spillover effect of custome... Read More about Driving total factor productivity: The spillover effect of digitalization in the new energy supply chain.

Establishing a Relationship between Particle size distribution & Thaw weakening Susceptibility in Soils (2025)
Journal Article
Leak, J., Dimitriadi, V., Barreto, D., Bernal-Sanchez, J., & Imre, E. (2025). Establishing a Relationship between Particle size distribution & Thaw weakening Susceptibility in Soils. Cold Regions Science and Technology, 231, Article 104423. https://doi.org/10.1016/j.coldregions.2025.104423

Susceptibility to frost action in soils is an important consideration in cold and seasonably cold regions. Whilst the particle size distribution (PSD) is commonly used to measure susceptibility to frost action, this method is typically seen as unreli... Read More about Establishing a Relationship between Particle size distribution & Thaw weakening Susceptibility in Soils.

Neurosymbolic learning and domain knowledge-driven explainable AI for enhanced IoT network attack detection and response (2025)
Journal Article
Kalutharage, C. S., Liu, X., & Chrysoulas, C. (2025). Neurosymbolic learning and domain knowledge-driven explainable AI for enhanced IoT network attack detection and response. Computers and Security, 151, Article 104318. https://doi.org/10.1016/j.cose.2025.104318

In the dynamic landscape of network security, where cyberattacks continuously evolve, robust and adaptive detection mechanisms are essential, particularly for safeguarding Internet of Things (IoT) networks. This paper introduces an advanced anomaly d... Read More about Neurosymbolic learning and domain knowledge-driven explainable AI for enhanced IoT network attack detection and response.

Into the Black Box: Mining Variable Importance with XAI (2025)
Presentation / Conference Contribution
Hunter, K., Thomson, S. L., & Hart, E. (2025, April). Into the Black Box: Mining Variable Importance with XAI. Presented at Evostar 2025, Trieste, Italy

Recent works have shown that the idea of mining search spaces to train machine learning models can facilitate increasing understanding of variable importance in optimisation problems. However , so far, the problems studied have typically either been... Read More about Into the Black Box: Mining Variable Importance with XAI.

Stalling in Space: Attractor Analysis for any Algorithm (2025)
Presentation / Conference Contribution
Thomson, S. L., Renau, Q., Vermetten, D., Hart, E., van Stein, N., & Kononova, A. V. (2025, April). Stalling in Space: Attractor Analysis for any Algorithm. Paper presented at EvoStar 2025, Trieste, Italy

Network-based representations of fitness landscapes have grown in popularity in the past decade; this is probably because of growing interest in explainability for optimisation algorithms. Local optima networks (LONs) have been especially dominant in... Read More about Stalling in Space: Attractor Analysis for any Algorithm.

Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model (2025)
Presentation / Conference Contribution
Renau, Q., & Hart, E. (2025, April). Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model. Presented at EvoSTAR 2025, Trieste, Italy

Recent approaches to training algorithm selectors in the black-box optimisation domain have advocated for the use of training data that is 'algorithm-centric' in order to encapsulate information about how an algorithm performs on an instance, rather... Read More about Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model.

Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing (2025)
Presentation / Conference Contribution
Sim, K., Hart, E., & Renau, Q. (2025, April). Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing. Presented at EvoSTAR 2025, Trieste, Italy

Coupling Large Language Models (LLMs) with Evolutionary Algorithms has recently shown significant promise as a technique to design new heuristics that outperform existing methods, particularly in the field of combinatorial optimisation. An escalating... Read More about Beyond the Hype: Benchmarking LLM-Evolved Heuristics for Bin Packing.

Spindle‐Shaped Ni‐Fe‐Layered Double Hydroxide: Effect of Etching Time on Flexible Energy Storage (2025)
Journal Article
Nair, K. M., Ajith, S., Paul, F., Pallilavalappil, S., Thomas, N., Hinder, S. J., Manjakkal, L., & Pillai, S. C. (2025). Spindle‐Shaped Ni‐Fe‐Layered Double Hydroxide: Effect of Etching Time on Flexible Energy Storage. Small, 21(7), Article 2409959. https://doi.org/10.1002/smll.202409959

The rising demand for efficient energy storage in flexible electronics is driving the search for materials that are well‐suited for the fabrication of these devices. Layered Double Hydroxides (LDHs) stand out as a remarkable material with a layered s... Read More about Spindle‐Shaped Ni‐Fe‐Layered Double Hydroxide: Effect of Etching Time on Flexible Energy Storage.

Applying Normalisation Process Theory to a peer-delivered complex health intervention for people experiencing homelessness and problem substance use (2025)
Journal Article
Foster, R., Carver, H., Matheson, C., Pauly, B., Wallace, J., MacLennan, G., Budd, J., & Parkes, T. (2025). Applying Normalisation Process Theory to a peer-delivered complex health intervention for people experiencing homelessness and problem substance use. Communications Medicine, 5(1), Article 13. https://doi.org/10.1038/s43856-024-00721-6

Background: The Supporting Harm Reduction through Peer Support (SHARPS) study involved designing and implementing a peer-delivered, harm reduction intervention for people experiencing homelessness and problem substance use. Normalisation Process Theo... Read More about Applying Normalisation Process Theory to a peer-delivered complex health intervention for people experiencing homelessness and problem substance use.

Renaissance of Climate Policy Uncertainty: The Effects of U.S. Presidential Election on Energy Markets Volatility (2025)
Journal Article
Ding, S., Wang, A., Cui, T., & Du, A. M. (2025). Renaissance of Climate Policy Uncertainty: The Effects of U.S. Presidential Election on Energy Markets Volatility. International Review of Economics and Finance, 103866, Article 98. https://doi.org/10.1016/j.iref.2025.103866

The global community has witnessed a burgeoning anxiety for accommodating the current climate changes. This heightened awareness has evoked a resurgence in the formulation and implementation of climate policies. Political events like the U.S. preside... Read More about Renaissance of Climate Policy Uncertainty: The Effects of U.S. Presidential Election on Energy Markets Volatility.

GenTwin: Generative AI-Powered Digital Twinning for Adaptive Management in IoT Networks (2025)
Journal Article
Duran, K., Shin, H., Duong, T. Q., & Canberk, B. (online). GenTwin: Generative AI-Powered Digital Twinning for Adaptive Management in IoT Networks. IEEE Transactions on Cognitive Communications and Networking, https://doi.org/10.1109/tccn.2025.3527719

The dramatic increase in smart services makes adaptive management of communication networks more critical. Especially for Internet of Things (IoT) networks, adaptive management faces several challenges, like fluctuating network conditions, heterogene... Read More about GenTwin: Generative AI-Powered Digital Twinning for Adaptive Management in IoT Networks.