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Intermediate insights: tracing trematodes infecting amphibians via their first intermediate snail hosts (2025)
Journal Article
Hüsken, A., Schwelm, J., Rückert, S., & Sures, B. (2025). Intermediate insights: tracing trematodes infecting amphibians via their first intermediate snail hosts. Parasites & vectors, 18(1), Article 285. https://doi.org/10.1186/s13071-025-06920-x

Background: Amphibians are a prime example of the global biodiversity crisis, as they represent the most threatened group of vertebrates. Yet, amphibian macroparasites remain one of the most poorly described groups of parasites, with the majority of... Read More about Intermediate insights: tracing trematodes infecting amphibians via their first intermediate snail hosts.

The Good Work Time Series 2025 (2025)
Report
Papagiannaki, E., Thomas, A., & Brewin, K. (2025). The Good Work Time Series 2025. Institute for the Future of Work

Good Work builds resilience against socioeconomic and health shocks, and builds resilience for technological transformation. More than any other single factor, access to good jobs will determine prospects for people and places across the country.... Read More about The Good Work Time Series 2025.

Climate governance, CSR strategy, and corporate environmental decoupling (2025)
Journal Article
Mushtaq, R., Du, A. M., & Bahoo, S. (2025). Climate governance, CSR strategy, and corporate environmental decoupling. Finance Research Letters, 85(Part A), 107925. https://doi.org/10.1016/j.frl.2025.107925

This study, utilizing a global dataset of 32,382 firm-year observations from 2004 to 2023, reveals a positive and statistically significant relationship between climate governance and corporate environmental decoupling. We find that climate governanc... Read More about Climate governance, CSR strategy, and corporate environmental decoupling.

Policing Together: a framework for innovating volunteer policing through community-driven partnerships (2025)
Journal Article
Cheah, P. K., Britton, I., Callender, M., Wolf, R., Frayling, A., Pepper, M., & Wooff, A. (2025). Policing Together: a framework for innovating volunteer policing through community-driven partnerships. Policing, 19, https://doi.org/10.1093/police/paaf022

Police agencies face growing pressure from limited resources and increasingly complex crime patterns. Innovation in public safety is no longer optional, it is imperative. Volunteer policing has long played a vital role in supporting law enforcement.... Read More about Policing Together: a framework for innovating volunteer policing through community-driven partnerships.

Voice Familiarity in a Voice-Reminders App for Elderly Care Recipients and Their Family Caregivers (2025)
Journal Article
Valdivia, K. P., & Li, J. (online). Voice Familiarity in a Voice-Reminders App for Elderly Care Recipients and Their Family Caregivers. IEEE Transactions on Human-Machine Systems, https://doi.org/10.1109/thms.2025.3582259

This work focuses on the effect of voice familiarity in voice reminders between elders and their caregivers. A voice application (for desktops and smartphones) was created to study these effects. Seniors, and their family care providers along with me... Read More about Voice Familiarity in a Voice-Reminders App for Elderly Care Recipients and Their Family Caregivers.

Is the dissertation dead? If so, what are the alternatives? (2025)
Digital Artefact
Khusainova, R., Sholl, S., & Harte, P. (2025). Is the dissertation dead? If so, what are the alternatives?. [Blog post]

Dissertation alternatives, such as capstone projects and applied group-based projects, could better prepare graduates for their future careers. Discover what these might look like

The effects of contextual bias on face recognition decisions (2025)
Journal Article
Curley, L., Breese, E., Munro, J., Havard, C., Skelton, F., & Pike, G. (in press). The effects of contextual bias on face recognition decisions. Journal of Forensic Sciences,

Contemporary research has demonstrated the effects of bias on, even expert, forensic decision making. The paper aimed to test if forensically relevant face recognition decisions could be influenced by biasing information. A 3 (Bias (within-subjects):... Read More about The effects of contextual bias on face recognition decisions.

Joint factor and latent class ordered probit analysis of intent to use unstaffed automated buses (2025)
Journal Article
Downey, L., Rahim, A., Fonzone, A., & Fountas, G. (2025). Joint factor and latent class ordered probit analysis of intent to use unstaffed automated buses. npj Sustainable Mobility and Transport, 2, Article 31. https://doi.org/10.1038/s44333-025-00047-3

By adopting a more environmentally friendly driving style and promoting sustainable transportation options, automated buses (ABs) could play a role in achieving long-term sustainability goals. This study explores the factors influencing the willingne... Read More about Joint factor and latent class ordered probit analysis of intent to use unstaffed automated buses.

Subfunction Structure Matters: A New Perspective on Local Optima Networks (2025)
Presentation / Conference Contribution
Thomson, S. L., & Przewozniczek, M. W. (2025, July). Subfunction Structure Matters: A New Perspective on Local Optima Networks. Presented at Genetic and Evolutionary Computation Conference (GECCO 2025), Málaga, Spain

Local optima networks (LONs) capture fitness landscape information. They are typically constructed in a black-box manner; information about the problem structure is not utilised. This also applies to the analysis of LONs: knowledge about the problem,... Read More about Subfunction Structure Matters: A New Perspective on Local Optima Networks.

Evaluating the Energy Costs of SHA-256 and SHA-3 (KangarooTwelve) in Resource-Constrained IoT Devices (2025)
Journal Article
Baird, I., Wadhaj, I., Ghaleb, B., Thomson, C., & Russell, G. (2025). Evaluating the Energy Costs of SHA-256 and SHA-3 (KangarooTwelve) in Resource-Constrained IoT Devices. IoT, 6(3), Article 40. https://doi.org/10.3390/iot6030040

The rapid expansion of Internet of Things (IoT) devices has heightened the demand for lightweight and secure cryptographic mechanisms suitable for resource-constrained environments. While SHA-256 remains a widely used standard, the emergence of SHA-3... Read More about Evaluating the Energy Costs of SHA-256 and SHA-3 (KangarooTwelve) in Resource-Constrained IoT Devices.

An empirical study on the performance overhead of code instrumentation in containerised microservices (2025)
Journal Article
Hammad, Y., Al-Said Ahmad, A., & Andras, P. (2025). An empirical study on the performance overhead of code instrumentation in containerised microservices. Journal of Systems and Software, 230, Article 112573. https://doi.org/10.1016/j.jss.2025.112573

Code instrumentation is vital for analysing software behaviour and facilitating cloud computing observability and monitoring, especially in microservices and containers. Despite its benefits, instrumentation introduces complexity and performance over... Read More about An empirical study on the performance overhead of code instrumentation in containerised microservices.

University students’ sense of belonging and the impact of commuting (2025)
Journal Article
Tett, L., Riddell, S., Christie, H., King, R., & Shan, S. (online). University students’ sense of belonging and the impact of commuting. Research in Post-Compulsory Education, https://doi.org/10.1080/13596748.2025.2522547

A strong sense of belonging is positively related to students’ emotional wellbeing, academic motivation, and success in higher education (HE). The research on which this paper is based was conducted in an ancient Scottish university and used a mixed... Read More about University students’ sense of belonging and the impact of commuting.

Digital tax administration, investor risk perception, and stock return volatility (2025)
Journal Article
Tu, W., Du, A. M., & Borthwick Saddler, S. (2025). Digital tax administration, investor risk perception, and stock return volatility. International Review of Economics and Finance, 103, Article 104434. https://doi.org/10.1016/j.iref.2025.104434

This study investigates the impact of digital tax administration on stock return volatility amid heightened market uncertainty. Leveraging the staggered rollout of China's Golden Tax Phase III from 2013 to 2016 as a quasi-natural experiment, we emplo... Read More about Digital tax administration, investor risk perception, and stock return volatility.

Improving Novelty Search with a Surrogate Model and Accuracy Objectives to Build High-Performing Ensembles of Classifiers (2025)
Journal Article
Cardoso, R. P., Hart, E., & Pitt, J. V. (2025). Improving Novelty Search with a Surrogate Model and Accuracy Objectives to Build High-Performing Ensembles of Classifiers. SN Computer Science, 6(6), Article 631. https://doi.org/10.1007/s42979-025-04056-4

Neuroevolution combined with Novelty Search to promote behavioural diversity is capable of constructing high-performing ensembles for classification. However, using gradient descent to train evolved architectures during the search can be computationa... Read More about Improving Novelty Search with a Surrogate Model and Accuracy Objectives to Build High-Performing Ensembles of Classifiers.

Historical Building Energy Retrofit Focusing on the Whole Life Cycle Assessment—A Systematic Literature Review (2025)
Journal Article
Obead, R., Khaddour, L., & D'Amico, B. (2025). Historical Building Energy Retrofit Focusing on the Whole Life Cycle Assessment—A Systematic Literature Review. Architecture, 5(3), Article 49. https://doi.org/10.3390/architecture5030049

Climate change is becoming one of humanity's major concerns. Remarkable steps are being implemented to reduce global emissions in all economic sectors, including the built environment. Historical buildings use a considerable amount of energy and prod... Read More about Historical Building Energy Retrofit Focusing on the Whole Life Cycle Assessment—A Systematic Literature Review.

Smart sensing and anomaly detection for microalgae culture based on LoRaWAN sensors and LSTM autoencoder (2025)
Journal Article
Soon, C. F., Jamia’an, M., Mohamed Sunar, N., Arifin, S. N. H., Tay, K. G., Heng, C., See, C. H., Mat Nayan, N. H., & Tee, K. S. (2025). Smart sensing and anomaly detection for microalgae culture based on LoRaWAN sensors and LSTM autoencoder. Aquaculture International, 33(6), Article 438. https://doi.org/10.1007/s10499-025-02104-7

The increasing demand for sustainable aquaculture solutions has accelerated interest in microalgae as an alternative fish feed source. This study presents a novel integration of Long-Range Wide Area Network (LoRaWAN) sensors and a Long Short-Term Mem... Read More about Smart sensing and anomaly detection for microalgae culture based on LoRaWAN sensors and LSTM autoencoder.

Unravelling the Path of Masstige Marketing: A Bibliometric Review, Insights and Road Map for Future Research (2025)
Journal Article
Vaheed, B., & Bhattacharya, S. (online). Unravelling the Path of Masstige Marketing: A Bibliometric Review, Insights and Road Map for Future Research. Vision, https://doi.org/10.1177/09722629251343702

Masstige marketing represents a downward extension of luxury brands to middle-class consumers. The growing middle class, with its higher spending power, provides a greater scope for both the marketing industry and academia. A bibliometric analysis us... Read More about Unravelling the Path of Masstige Marketing: A Bibliometric Review, Insights and Road Map for Future Research.

SAD-GAN: A Novel Secure Anomaly Detection Framework for Enhancing the Resilience of Cyber-Physical Systems (2025)
Journal Article
Bhutani, M., Dalal, S., Alhussein, M., Lilhore, U. K., Aurangzeb, K., & Hussain, A. (2025). SAD-GAN: A Novel Secure Anomaly Detection Framework for Enhancing the Resilience of Cyber-Physical Systems. Cognitive Computation, 17(4), Article 127. https://doi.org/10.1007/s12559-025-10483-5

Cyber-physical systems occupy a significant portion of the critical infrastructure market, but their prominence has raised concerns due to their susceptibility to certain anomalies. The typical approaches tend to be ineffective to flexible and comple... Read More about SAD-GAN: A Novel Secure Anomaly Detection Framework for Enhancing the Resilience of Cyber-Physical Systems.