Skip to main content

Research Repository

Advanced Search

All Outputs (75)

Electrical properties of proteinoids for unconventional computing architectures (2023)
Conference Proceeding
Mougkogiannis, P., & Adamatzky, A. (2023). Electrical properties of proteinoids for unconventional computing architectures. In NANOARCH '23: Proceedings of the 18th ACM International Symposium on Nanoscale Architectures (1-4). https://doi.org/10.1145/3611315.3633264

Proteinoids are peptide-like molecules that arise from the combination of amino acids in pre-biotic environments. Recent studies have revealed distinctive electrical characteristics of proteinoids, such as the presence of voltage-gated ion channels,... Read More about Electrical properties of proteinoids for unconventional computing architectures.

Heuristic and swarm intelligence algorithms for work-life balance problem (2023)
Journal Article
Gulmez, E., Koruca, H. I., Aydin, M. E., & Urganci, K. B. (2024). Heuristic and swarm intelligence algorithms for work-life balance problem. Computers and Industrial Engineering, 187, Article 109857. https://doi.org/10.1016/j.cie.2023.109857

Employee satisfaction significantly influences the success of business. This emphasises on the importance of employees managing their work, family and personal lives to maintain their physical and mental well-being. This is especially crucial in heal... Read More about Heuristic and swarm intelligence algorithms for work-life balance problem.

Feature-based search space characterisation for data-driven adaptive operator selection (2023)
Journal Article
Aydin, M. E., Durgut, R., Rakib, A., & Ihshaish, H. (2024). Feature-based search space characterisation for data-driven adaptive operator selection. Evolving Systems, 15(1), 99-114. https://doi.org/10.1007/s12530-023-09560-7

Combinatorial optimisation problems are known as unpredictable and challenging due to their nature and complexity. One way to reduce the unpredictability of such problems is to identify features and the characteristics that can be utilised to guide t... Read More about Feature-based search space characterisation for data-driven adaptive operator selection.

A cognitive dissonance body image intervention ‘Free Being Me’ delivered by Guide leaders to adolescent Girl Guides in India: A pilot and acceptability trial (2023)
Journal Article
Paraskeva, N., Pegram, G., Goel, R., Mandhaani, M., Suneja, V., White, P., & Diedrichs, P. (2024). A cognitive dissonance body image intervention ‘Free Being Me’ delivered by Guide leaders to adolescent Girl Guides in India: A pilot and acceptability trial. Body Image, 48, Article 101658. https://doi.org/10.1016/j.bodyim.2023.101658

This pilot study assessed the acceptability and pre-post intervention effects of a cognitive dissonance-based body image intervention, Free Being Me, delivered by Guide leaders to adolescent girls in India. Girls aged 11–14 years (Mage = 12.6, N = 11... Read More about A cognitive dissonance body image intervention ‘Free Being Me’ delivered by Guide leaders to adolescent Girl Guides in India: A pilot and acceptability trial.

Crafting inclusive learning: The art of authentic curriculum design (2023)
Presentation / Conference
Arabo, A. (2023, December). Crafting inclusive learning: The art of authentic curriculum design. Presented at The NEXUS Development Days are part of UWTSD’s Learning and Teaching annual programme, Wales

This plenary delves into the nuanced approach of developing an inclusive educational framework through authentic curriculum design. It explores the intricate artistry required to cultivate a learning environment that respects and integrates diverse c... Read More about Crafting inclusive learning: The art of authentic curriculum design.

Machine learning models in trusted research environments - Understanding operational risks (2023)
Journal Article
Ritchie, F., Tilbrook, A., Cole, C., Jefferson, E., Krueger, S., Mansouri-Benssassi, E., …Smith, J. (2023). Machine learning models in trusted research environments - Understanding operational risks. International Journal of Population Data Science, 8(1), Article 2165. https://doi.org/10.23889/ijpds.v8i1.2165

IntroductionTrusted research environments (TREs) provide secure access to very sensitive data for research. All TREs operate manual checks on outputs to ensure there is no residual disclosure risk. Machine learning (ML) models require very large amou... Read More about Machine learning models in trusted research environments - Understanding operational risks.

A systematic review of machine-learning solutions in anaerobic digestion (2023)
Journal Article
Rutland, H., You, J., Liu, H., Bull, L., & Reynolds, D. (2023). A systematic review of machine-learning solutions in anaerobic digestion. Bioengineering, 10(12), Article 1410. https://doi.org/10.3390/bioengineering10121410

The use of machine learning (ML) in anaerobic digestion (AD) is growing in popularity and improves the interpretation of complex system parameters for better operation and optimisation. This systematic literature review aims to explore how ML is curr... Read More about A systematic review of machine-learning solutions in anaerobic digestion.

A framework for the estimation of air quality by applying meteorological images: Colours-of-the-Wind (COLD) (2023)
Journal Article
Chan, K., Matthews, P., & Munir, K. (2023). A framework for the estimation of air quality by applying meteorological images: Colours-of-the-Wind (COLD). Environments, 10(12), Article 218. https://doi.org/10.3390/environments10120218

This paper presents a new framework, “colours-of-the-wind” (COLD), which is designed to estimate air quality based on images from meteorological cameras, data analytics techniques, and the application of deep learning. Existing air quality estimation... Read More about A framework for the estimation of air quality by applying meteorological images: Colours-of-the-Wind (COLD).

A decision-making architecture for human-robot collaboration: Model transferability (2023)
Conference Proceeding
Sobhani, M., Smith, J., Pipe, A., & Peer, A. (2023). A decision-making architecture for human-robot collaboration: Model transferability. In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 1 (719-726). https://doi.org/10.5220/0012210600003543

In this paper, we aim to demonstrate the potential for wider-ranging capabilities and ease of transferability of our recently developed decision-making architecture for human-robot collaboration. To this end, a somewhat related but different applicat... Read More about A decision-making architecture for human-robot collaboration: Model transferability.

Survey improving usability of the smartphones for elders (2023)
Journal Article
Mastoi, Q. (2023). Survey improving usability of the smartphones for elders. Acta Biotechnologica, 6(1), Article 256. https://doi.org/10.56979/601/2023

The focal point of this study is the usability of smartphones for elderly individuals. Notably, Android dominates the current smartphone market share at 72.72%. This prevalence is influenced by various factors, including affordability, a diverse arra... Read More about Survey improving usability of the smartphones for elders.

Evaluating a school-based body image lesson in Indonesia: A randomised controlled trial (2023)
Journal Article
Craddock, N., Budhraja, M., Garbett, K. M., Nasution, K., Gentili, C., Rizkiah, C., …Williamson, H. (2024). Evaluating a school-based body image lesson in Indonesia: A randomised controlled trial. Body Image, 48, Article 101654. https://doi.org/10.1016/j.bodyim.2023.101654

Negative body image is a common public health concern among adolescents, globally. The aim of the current study was to evaluate the effectiveness, implementation fidelity, and acceptability of a single session, school-based universal body image inter... Read More about Evaluating a school-based body image lesson in Indonesia: A randomised controlled trial.

Ambulance clinicians implementing evidence-based practice: Mind the gap! Attitudes, perceptions and experiences of student paramedics (2023)
Journal Article
Newton, J., & Smith, A. (2023). Ambulance clinicians implementing evidence-based practice: Mind the gap! Attitudes, perceptions and experiences of student paramedics. British Paramedic Journal, 8(3), 11-19. https://doi.org/10.29045/14784726.2023.12.8.3.11

Background: Evidence-based practice (EBP) represents the conscientious and judicious use of the best contemporaneous evidence in partnership with patient values and clinical expertise to guide healthcare professionals. As a result, EBP is a recommend... Read More about Ambulance clinicians implementing evidence-based practice: Mind the gap! Attitudes, perceptions and experiences of student paramedics.

Towards freezing global warming (2023)
Book Chapter
Phillips, N., Ayling, S. M., Ratcliffe, N. M., de Lacy Costello, B., Foord, W., Draper, T. C., …Razzaque, J. (in press). Towards freezing global warming. In Climate Change Mitigation and Adaptation in Practice. Springer (part of Springer Nature)

Numerous policies have been proposed to mitigate the problem of climate change as reducing emissions alone will not be sufficient. Carbon Capture and Storage (CCS), which captures carbon at the source, and Negative Emissions Technologies (NETs), whic... Read More about Towards freezing global warming.

Development and evaluation of a mobile app to support reading education (2023)
Conference Proceeding
Mthethwa, L. C., & Matthews, P. (2023). Development and evaluation of a mobile app to support reading education. In AfriCHI '23: Proceedings of the 4th African Human Computer Interaction Conference (58-63). https://doi.org/10.1145/3628096.3628751

We report on the design, development and evaluation of an app to support teachers in the teaching of reading at primary level. The app was developed with two main features: book levelling, where a book photograph, OCR and a simple machine learning mo... Read More about Development and evaluation of a mobile app to support reading education.

Improving search space analysis of fuzzing mutators using cryptographic structures (2023)
Conference Proceeding
Chafjiri, S. B., Legg, P., Tsompanas, M., & Hong, J. (in press). Improving search space analysis of fuzzing mutators using cryptographic structures. In Lecture Notes in Network Security

This paper introduces a novel approach to enhance the performance of software fuzzing mutator tools, by leveraging cryptographic structures known as substitution-permutation networks and Feistel networks. By integrating these structures into the exis... Read More about Improving search space analysis of fuzzing mutators using cryptographic structures.

Light-induced spiking in proteinoids yields Boolean gates (2023)
Journal Article
Mougkogiannis, P., & Adamatzky, A. (2023). Light-induced spiking in proteinoids yields Boolean gates. Materials and Design, 236, Article 112460. https://doi.org/10.1016/j.matdes.2023.112460

This study analyzes light modulation of spiking in proteinoids, thermally condensed proteins exhibiting spike dynamics. We elucidate how light induces changes in proteinoids, modulating spike frequency. Results show proteinoids' spiking can be adjust... Read More about Light-induced spiking in proteinoids yields Boolean gates.

Reflections on XR audio craft: RePresenting act and place (2023)
Presentation / Conference
Reed, L. (2023, November). Reflections on XR audio craft: RePresenting act and place. Paper presented at Sound/Image Festival 2023, London, UK

This talk and accompanying demo looks back over a body of work across multiple formats of XR including, 360 Film, Full Dome, Mixed Reality and Virtual Reality experiences. From immersive documentary to contemporary music performances it reflects on t... Read More about Reflections on XR audio craft: RePresenting act and place.

Early versus persistent Complex Regional Pain Syndrome: Is there a difference in patient reported outcomes following rehabilitation? (2023)
Journal Article
Lewis, J. S., Wallace, C. S., White, P., Mottram, L., Ockenden, G., Rehm, K., & Walker, K. (2024). Early versus persistent Complex Regional Pain Syndrome: Is there a difference in patient reported outcomes following rehabilitation?. European Journal of Pain, 28(3), 464-475. https://doi.org/10.1002/ejp.2196

Background: Expert consensus asserts that early treatment of Complex Regional Pain Syndrome (CRPS) leads to better outcomes. Yet no evidence supports this assumption regarding the recognized gold standard of multidisciplinary functional rehabilitatio... Read More about Early versus persistent Complex Regional Pain Syndrome: Is there a difference in patient reported outcomes following rehabilitation?.

Simplifying microservices migration with advanced genetic algorithms (2023)
Book Chapter
Aljawawdeh, H., Abuezhayeh, S., Qaddoumi, E., & Maghrabi, L. (2023). Simplifying microservices migration with advanced genetic algorithms. In A. Hannoon, & A. Mahmood (Eds.), Artificial Intelligence, Internet of Things, and Society 5.0 (441-452). Springer Verlag. https://doi.org/10.1007/978-3-031-43300-9_36

The increasing complexity and size of software systems have revealed the limitations of monolithic architectures, leading to the adoption of microservices as a more flexible, scalable, and maintainable alternative. This paper introduces an innovative... Read More about Simplifying microservices migration with advanced genetic algorithms.