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‘It’s NOT in the Game’ – Commemoration and Commerce in EA Sports FIFA Franchise (2024)
Book Chapter
Donald, I. ‘It’s NOT in the Game’ – Commemoration and Commerce in EA Sports FIFA Franchise. In The Interactive Past Re-Imagined: New Horizons of Video Games, History, and Archaeology. Sidestone Press

In 2023 witnessed a seismic shift in the world of virtual football as the licensing agreement between EA Sports and FIFA (the governing body of football) that had existed since 1993 came to an end and it was announced that going forward FIFA (the gam... Read More about ‘It’s NOT in the Game’ – Commemoration and Commerce in EA Sports FIFA Franchise.

Communitarian Narratives in the Films of Nicolas Rojas Sánchez and Ángeles Cruz (2024)
Book Chapter
Jansen, I. (in press). Communitarian Narratives in the Films of Nicolas Rojas Sánchez and Ángeles Cruz. In The Routledge Handbook of Indigenous Film. Routledge

This chapter discusses different films by Mixtec filmmakers Ángeles Cruz and Nicolas Rojas Sánchez. Both filmmakers have received several national and international awards for their work. The films by Ángeles Cruz as well as the films by Nicolas Roja... Read More about Communitarian Narratives in the Films of Nicolas Rojas Sánchez and Ángeles Cruz.

Physical, mental, and behavioral health after adverse and benevolent childhood experiences: a comparison of two adversity conceptualizations (2024)
Journal Article
Ho, G. W., Ling Chan, K., Ho Wong, K., Fong Leung, S., & Karatzias, T. (online). Physical, mental, and behavioral health after adverse and benevolent childhood experiences: a comparison of two adversity conceptualizations. Psychological Trauma: Theory, Research, Practice, and Policy, https://doi.org/10.1037/tra0001732

Objective: Adverse and benevolent childhood experiences (ACEs, BCEs) impact health across the lifespan. No known study has investigated these associations across different health domains using a representative adult sample. This study examined the as... Read More about Physical, mental, and behavioral health after adverse and benevolent childhood experiences: a comparison of two adversity conceptualizations.

Assessing Self-Reported Prolonged Grief Disorder with ‘Clinical Checks’: A Proof of Principle Study (2024)
Journal Article
Shevlin, M., Hyland, P., Cloitre, M., Brewin, C., Martsenkovskyi, D., Ben-Ezra, M., Bondjers, K., Karatzias, T., Duffy, M., & Redican, E. (in press). Assessing Self-Reported Prolonged Grief Disorder with ‘Clinical Checks’: A Proof of Principle Study. Journal of Traumatic Stress,

Psychological assessment is commonly conducted using either self-report measures or clinical interviews; the former are quick and easy to administer, and the later are more time consuming and require training. Self-report measures have been criticise... Read More about Assessing Self-Reported Prolonged Grief Disorder with ‘Clinical Checks’: A Proof of Principle Study.

Testing the distinctiveness of prolonged grief disorder from posttraumatic stress disorder and depression in large bereaved community samples. (2024)
Journal Article
Shevlin, M., Redican, E., Karatzias, T., & Hyland, P. (in press). Testing the distinctiveness of prolonged grief disorder from posttraumatic stress disorder and depression in large bereaved community samples. Journal of Affective Disorders Reports,

Background: This study sought to test the distinctiveness of symptoms of prolonged grief disorder (PGD) from posttraumatic stress disorder (PTSD) and depression. Methods: Confirmatory factor analysis (CFA) and target exploratory factor analysis (EF... Read More about Testing the distinctiveness of prolonged grief disorder from posttraumatic stress disorder and depression in large bereaved community samples..

Work re‐entry following maternity leave for first‐time mothers: An events, social identity and intersectional theories informed identity work framework (2024)
Journal Article
Cross, C., Darcy, C., & Garavan, T. (online). Work re‐entry following maternity leave for first‐time mothers: An events, social identity and intersectional theories informed identity work framework. Gender, Work and Organization, https://doi.org/10.1111/gwao.13162

Many first‐time mothers experience significant identity issues on work re‐entry following maternity leave, an important individual and life‐related event. Work re‐entry prompts significant identity tensions leading to identity work challenges and pot... Read More about Work re‐entry following maternity leave for first‐time mothers: An events, social identity and intersectional theories informed identity work framework.

Establishment of Clinical Exercise Physiology as a regulated healthcare profession in the UK: A Progress Report (2024)
Journal Article
Jones, H., Crozier, A., George, K. P., Miller, G., Whyte, G. P., Rycroft, J., Scott, A., Buckley, J. P., McGregor, G., Askew, C. D., Jack, S., Birkett, S., Broom, D., Tolfrey, K., Campbell, A., Skelton, D. A., Steenkamp, L., Savage, J., & Green, D. J. (online). Establishment of Clinical Exercise Physiology as a regulated healthcare profession in the UK: A Progress Report. BMJ Open Sport & Exercise Medicine,

In 2021, a `call to action` was published to highlight the need for professional regulation of clinical exercise physiologists to be established within UK healthcare systems to ensure patient safety and align training and regulation with other health... Read More about Establishment of Clinical Exercise Physiology as a regulated healthcare profession in the UK: A Progress Report.

Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites (2024)
Preprint / Working Paper
Ali Janjua, A., Younas, M., Ahmad Ilyas, R., Shyha, I., Haque Faisal, N., Inam, F., & Shahneel Saharudin, M. Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites

Dimethylformamide (DMF), a polar solvent, is commonly used for preparing graphene/epoxy nanocomposites. While commonly previous research has predominantly highlighted the improvement in physio-mechanical properties of these nanocomposites, the effect... Read More about Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites.

Towards a Cyberbullying Detection Approach: Fine-Tuned Contrastive Self- Supervised Learning for Data Augmentation (2024)
Journal Article
Alharigy, L., Alnuaim, H., Moradpoor, N., & Tan, T. (online). Towards a Cyberbullying Detection Approach: Fine-Tuned Contrastive Self- Supervised Learning for Data Augmentation. International Journal of Data Science and Analytics, https://doi.org/10.1007/s41060-024-00607-9

Cyberbullying on social media platforms is pervasive and challenging to detect due to linguistic subtleties and the need for extensive data annotation. We introduce a Deep Contrastive Self-Supervised Learning (DCSSL) model that integrates a Natural L... Read More about Towards a Cyberbullying Detection Approach: Fine-Tuned Contrastive Self- Supervised Learning for Data Augmentation.

Usability and acceptability of ambulatory ECG monitoring in undiagnosed syncope: Insights from the ASPIRED-Q qualitative study (2024)
Presentation / Conference Contribution
Pearsons, A., Hanson, C., Reed, M., Blackstock, C., Clarke, E., & Neubeck, L. (2024, October). Usability and acceptability of ambulatory ECG monitoring in undiagnosed syncope: Insights from the ASPIRED-Q qualitative study. Presented at Royal College of Emergency Medicine Annual Scientific Conference, Newcastle-upon-Tyne, United Kingdom

Aims, objectives and background: The aim of this study, which was embedded into the ASPIRED randomised controlled trial (ISRCTN10278811), was to explore patient and clinician usability and acceptability of an enhanced (14-day) ambulatory ECG monitori... Read More about Usability and acceptability of ambulatory ECG monitoring in undiagnosed syncope: Insights from the ASPIRED-Q qualitative study.

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.

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.

An Open Intent Discovery Evaluation Framework (2024)
Presentation / Conference Contribution
Anderson, G., Hart, E., Gkatzia, D., & Beaver, I. (2024, September). An Open Intent Discovery Evaluation Framework. Presented at SIGDIAL 2024, Kyoto, Japan

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.