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Assessing risk dimensions in dry port projects: prioritization, interdependence and heterogeneity (2024)
Journal Article
Rodrigues, T. D. A., Ojiako, U., Mota, C. M. D. M., Marshall, A., Chipulu, M., & Dweiri, F. (online). Assessing risk dimensions in dry port projects: prioritization, interdependence and heterogeneity. Maritime Business Review, https://doi.org/10.1108/MABR-09-2023-0064

Purpose
We identify and further aggregate the most commonly engaged risk factors in dry port projects into dimensions. Noting the importance of developing a multi-perspective view of risk, we further assess the priority, interdependency and heterog... Read More about Assessing risk dimensions in dry port projects: prioritization, interdependence and heterogeneity.

Investigating Markers and Drivers of Gender Bias in Machine Translations (2024)
Presentation / Conference Contribution
Barclay, P., & Sami, A. (2024, March). Investigating Markers and Drivers of Gender Bias in Machine Translations. Presented at IEEE International Conference on Software Analysis, Evolution and Reengineering, Rovaniemi, Finland

Implicit gender bias in Large Language Models (LLMs) is a well-documented problem, and implications of gender introduced into automatic translations can perpetuate real-world biases. However, some LLMs use heuristics or post-processing to mask such b... Read More about Investigating Markers and Drivers of Gender Bias in Machine Translations.

Physical Activity Interventions Framed by the Health Action Process Approach for Adults with Long-Term Conditions: A Scoping Review (2024)
Journal Article
Silva-Smith, A. L., Hanson, C. L., Neubeck, L., Rowat, A., & McHale, S. (online). Physical Activity Interventions Framed by the Health Action Process Approach for Adults with Long-Term Conditions: A Scoping Review. International Journal of Behavioral Medicine, https://doi.org/10.1007/s12529-024-10305-2

Background
Interventions that use the Health Action Process Approach (HAPA) model show promise for increasing PA frequency, duration, and intensity. However, there is limited understanding of how HAPA model variables have been operationalized for PA... Read More about Physical Activity Interventions Framed by the Health Action Process Approach for Adults with Long-Term Conditions: A Scoping Review.

Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem (2024)
Presentation / Conference Contribution
Renau, Q., Dreo, J., & Hart, E. (2024, July). Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem. Presented at GECCO '24: Genetic and Evolutionary Computation Conference, Melbourne, Australia

Artificial benchmark datasets are common in both numerical and discrete optimisation domains. Existing benchmarks cover a broad range of classes of optimisation, but as a general rule have limited value due to their poor resemblance to real-world pro... Read More about Ealain: A Camera Simulation Tool to Generate Instances for Multiple Classes of Optimisation Problem.

Makazi SHELTERs (2024)
Digital Artefact
Eltaweel, A. (2024). Makazi SHELTERs. [YouTube video]

A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare (2024)
Presentation / Conference Contribution
Brownlee, A., Thomson, S., & Oladapo, R. (2024, July). A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare. Presented at Proceedings of the Genetic and Evolutionary Computation Conference Companion, Melbourne, Australia

We report on a case study application of metaheuristics with Argyll and Bute Health and Social Care Partnership in the West of Scotland. The Partnership maintains a fleet of pool vehicles that are available to service visits of staff to locations acr... Read More about A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare.

Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples (2024)
Presentation / Conference Contribution
Renau, Q., & Hart, E. (2024, July). Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples. Presented at GECCO 2024, Melbourne, Australia

The choice of input-data used to train algorithm-selection models is recognised as being a critical part of the model success. Recently, feature-free methods for algorithm-selection that use short trajec-tories obtained from running a solver as input... Read More about Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples.

Understanding fitness landscapes in morpho-evolution via local optima networks (2024)
Presentation / Conference Contribution
Thomson, S. L., Le Goff, L., Hart, E., & Buchanan, E. (2024, July). Understanding fitness landscapes in morpho-evolution via local optima networks. Presented at Genetic and Evolutionary Computation Conference (GECCO 2024), Melbourne, Australia

Morpho-Evolution (ME) refers to the simultaneous optimisation of a robot's design and controller to maximise performance given a task and environment. Many genetic encodings have been proposed which are capable of representing design and control. Pre... Read More about Understanding fitness landscapes in morpho-evolution via local optima networks.

Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective (2024)
Presentation / Conference Contribution
Rodriguez, C. J., Thomson, S. L., Alderliesten, T., & Bosman, P. A. N. (2024, July). Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective. Presented at Genetic and Evolutionary Computation Conference (GECCO 2024), Melbourne, Australia

Many real-world problems have expensive-to-compute fitness functions and are multi-objective in nature. Surrogate-assisted evolutionary algorithms are often used to tackle such problems. Despite this, literature about analysing the fitness landscapes... Read More about Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective.

Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution (2024)
Presentation / Conference Contribution
Marrero, A., Segredo, E., León, C., & Hart, E. (2024, July). Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution. Presented at GECCO '24: Genetic and Evolutionary Computation Conference, Melbourne, Australia

The ability to generate example instances from a domain is important in order to benchmark algorithms and to generate data that covers an instance-space in order to train machine-learning models for algorithm selection. Quality-Diversity (QD) algorit... Read More about Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution.

Time to retire the raw analysis of individual responses (2024)
Journal Article
Bossi, A. H. (2024). Time to retire the raw analysis of individual responses. Communications in Kinesiology, 1(6), https://doi.org/10.51224/cik.2024.57

This letter critiques the data analysis of a study investigating peak oxygen uptake responses to cycling and running sprint interval training (Digby et al. 2023 J Strength Cond Res, 37(4), e313-e316). While the study effectively demonstrates the spec... Read More about Time to retire the raw analysis of individual responses.

Machine Learning and Clinical Predictors of Mortality in Cardiac Arrest Patients: A Comprehensive Analysis (2024)
Journal Article
Lewandowski, Ł., Czapla, M., Uchmanowicz, I., Kubielas, G., Zieliński, S., Krzystek-Korpacka, M., Ross, C., Juárez-Vela, R., & Zielińska, M. (2024). Machine Learning and Clinical Predictors of Mortality in Cardiac Arrest Patients: A Comprehensive Analysis. Medical Science Monitor, 30, Article e944408. https://doi.org/10.12659/msm.944408

BACKGROUND: Cardiac arrest (CA) is a global public health challenge. This study explored the predictors of mortality and their interactions utilizing machine learning algorithms and their related mortality odds among patients following CA.

MATERI... Read More about Machine Learning and Clinical Predictors of Mortality in Cardiac Arrest Patients: A Comprehensive Analysis.

A Transformer-Based Network With Feature Complementary Fusion for Crack Defect Detection (2024)
Journal Article
Ma, M., Yang, L., Liu, Y., & Yu, H. (online). A Transformer-Based Network With Feature Complementary Fusion for Crack Defect Detection. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1109/tits.2024.3421331

Pavement crack detection poses a formidable challenge due to the intricate texture structures of cracks and the complex environmental settings in which they are situated. In recent years, the advancement of deep learning techniques has prompted a sur... Read More about A Transformer-Based Network With Feature Complementary Fusion for Crack Defect Detection.

Implementing responsible innovation: the role of the meso-level(s) between project and organisation (2024)
Journal Article
Stahl, B. C., Portillo, V., Wagner, H., Craigon, P. J., Darzentas, D., De Ossorno Garcia, S., Dowthwaite, L., Greenhalgh, C., Middleton, S. E., Nichele, E., Wagner, C., & Webb, H. (2024). Implementing responsible innovation: the role of the meso-level(s) between project and organisation. Journal of Responsible Innovation, 11(1), Article 2370934. https://doi.org/10.1080/23299460.2024.2370934

Much of academic discussion of responsible innovation (RI) has focused on RI integration into research projects. In addition, significant attention has also been paid to RI structures and policies at the research policy and institutional level. This... Read More about Implementing responsible innovation: the role of the meso-level(s) between project and organisation.

Assessing the potential of acoustic telemetry to underpin the regional management of basking sharks (Cetorhinus maximus) (2024)
Journal Article
Thorburn, J., Collins, P. C., Garbett, A., Vance, H., Phillips, N., Drumm, A., Cooney, J., Waters, C., Ó’Maoiléidigh, N., Johnston, E., Dolton, H. R., Berrow, S., Hall, G., Hall, J., Delvillar, D., McGill, R., Whoriskey, F., Fangue, N. A., McInturf, A. G., Rypel, A. L., …Houghton, J. D. R. (2024). Assessing the potential of acoustic telemetry to underpin the regional management of basking sharks (Cetorhinus maximus). Animal Biotelemetry, 12, Article 20. https://doi.org/10.1186/s40317-024-00370-5

Acoustic telemetry can provide valuable space-use data for a range of marine species. Yet the deployment of species-specific arrays over vast areas to gather data on highly migratory vertebrates poses formidable challenges, often rendering it impract... Read More about Assessing the potential of acoustic telemetry to underpin the regional management of basking sharks (Cetorhinus maximus).

The effectiveness of immobilised artificial membrane and liposome electrokinetic chromatography in predicting the pulmonary delivery of drugs in humans (2024)
Presentation / Conference Contribution
Orzel, D., Dillon, A., Russo, G., & Wiedmer, S. (2024, October). The effectiveness of immobilised artificial membrane and liposome electrokinetic chromatography in predicting the pulmonary delivery of drugs in humans. Poster presented at 34th International Symposium of Chromatography - ISC2024, Liverpool

Immobilized Artificial Membrane Liquid Chromatography vs Liposome Electrokinetic Chromatography: suitability in drug/bio membrane partitioning studies and effectiveness in the assessment of drugs’ passage through the respiratory mucosa (2024)
Presentation / Conference Contribution
Russo, G., Orzel, D., Dillon, A., Ravald, H., Rantala, J., & Wiedmer, S. K. (2024, October). Immobilized Artificial Membrane Liquid Chromatography vs Liposome Electrokinetic Chromatography: suitability in drug/bio membrane partitioning studies and effectiveness in the assessment of drugs’ passage through the respiratory mucosa. Paper presented at 34th International Symposium on Chromatography – ISC 2024, Liverpool

Virtual Rehabilitation: XR Design for Senior Users in Immersive Exergame Environments (2024)
Presentation / Conference Contribution
Charisis, V., Khan, S., AlTarteer, S., & Lagoo, R. (2024, June). Virtual Rehabilitation: XR Design for Senior Users in Immersive Exergame Environments. Presented at 2024 IEEE Gaming, Entertainment, and Media Conference (GEM), Turin, Italy

The global ageing population presents significant challenges, with healthcare systems strained to meet the needs of an increasingly elderly demographic. Societies face issues related to healthcare costs, caregiving, and maintaining quality of life fo... Read More about Virtual Rehabilitation: XR Design for Senior Users in Immersive Exergame Environments.

Testing for Hepatitis B and C virus and HIV in mental healthcare settings in England between 2015–2021 (2024)
Journal Article
Hibbert, M., Simmons, R., Dearman, P., Lester, J., Powell, A., Chau, C., Humphreys, C., Hughes, L., Heslin, M., Desai, M., & Sabin, C. (in press). Testing for Hepatitis B and C virus and HIV in mental healthcare settings in England between 2015–2021. PLOS Mental Health, 1(2), Article e0000011. https://doi.org/10.1371/journal.pmen.0000011

People living with severe mental illness have an increased prevalence of bloodborne viruses (BBVs) such as hepatitis B (HBV) and hepatitis C viruses (HCV), and HIV. To help improve the physical health of people living with severe mental illness, we a... Read More about Testing for Hepatitis B and C virus and HIV in mental healthcare settings in England between 2015–2021.