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All Outputs (101)

How well do parents identify their child's baby teeth? Engagement and accuracy of parent-reported information on a tooth checklist survey (2024)
Journal Article
Le Luyer, M., Boll, M., Lemmers, S., Stoll, S., Hoffnagle, A., Smith, A., & Dunn, E. (in press). How well do parents identify their child's baby teeth? Engagement and accuracy of parent-reported information on a tooth checklist survey. Community Dentistry and Oral Epidemiology, https://doi.org/10.1111/cdoe.12971

Objectives: Naturally exfoliated primary teeth are being increasingly collected in child development studies. Most of these odontological collections and tooth biobanks use parent-reported information from questionnaires or tooth checklists to collec... Read More about How well do parents identify their child's baby teeth? Engagement and accuracy of parent-reported information on a tooth checklist survey.

Heart patient health monitoring system using invasive and non-invasive measurement (2024)
Journal Article
Mastoi, Q. U. A., Alqahtani, A., Almakdi, S., Sulaiman, A., Rajab, A., Shaikh, A., & Alqhtani, S. M. (2024). Heart patient health monitoring system using invasive and non-invasive measurement. Scientific Reports, 14(1), Article 9614. https://doi.org/10.1038/s41598-024-60500-0

The abnormal heart conduction, known as arrhythmia, can contribute to cardiac diseases that carry the risk of fatal consequences. Healthcare professionals typically use electrocardiogram (ECG) signals and certain preliminary tests to identify abnorma... Read More about Heart patient health monitoring system using invasive and non-invasive measurement.

Securing multi-client range queries over encrypted data (2024)
Journal Article
Park, J. H., Rezaeifar, Z., & Hahn, C. (in press). Securing multi-client range queries over encrypted data. Cluster Computing, https://doi.org/10.1007/s10586-024-04472-w

Order-revealing encryption (ORE) allows secure range query processing over encrypted databases through a publicly accessible comparison function, while keeping other details concealed. Since parameter-hiding ORE (ASIACRYPT 2018) demonstrated improved... Read More about Securing multi-client range queries over encrypted data.

Simulated autopoiesis in liquid automata (2024)
Journal Article
Battle, S. (in press). Simulated autopoiesis in liquid automata. International Journal of Unconventional Computing,

We present a novel form of Liquid Automata, using this to simulate autopoiesis, whereby living machines self-organise in the physical realm. This simulation is based on an earlier Cellular Automaton described by Francisco Varela. The basis of Liquid... Read More about Simulated autopoiesis in liquid automata.

The relationship between type, timing and duration of exposure to adverse childhood experiences and adolescent self-harm and depression: Findings from three UK prospective population-based cohorts (2024)
Journal Article
Farooq, B., Russell, A., Howe, L., Herbert, A., Smith, A., Fisher, H., …Mars, B. (in press). The relationship between type, timing and duration of exposure to adverse childhood experiences and adolescent self-harm and depression: Findings from three UK prospective population-based cohorts. Journal of Child Psychology and Psychiatry, https://doi.org/10.1111/jcpp.13986

Background: Adverse childhood experiences (ACEs) are well-established risk factors for self-harm and depression. However, despite their high comorbidity, there has been little focus on the impact of developmental timing and the duration of exposure t... Read More about The relationship between type, timing and duration of exposure to adverse childhood experiences and adolescent self-harm and depression: Findings from three UK prospective population-based cohorts.

Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter (2024)
Journal Article
Tsompanas, M. A., & Balaz, I. (2024). Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter. Frontiers in Robotics and AI, 11, Article 1337722. https://doi.org/10.3389/frobt.2024.1337722

Biohybrid machines (BHMs) are an amalgam of actuators composed of living cells with synthetic materials. They are engineered in order to improve autonomy, adaptability and energy efficiency beyond what conventional robots can offer. However, designin... Read More about Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter.

Project-based learning integrated with e-Assessment (2024)
Journal Article
Derrick, B., & Weir, I. (2024). Project-based learning integrated with e-Assessment. MSOR Connections, 22(2), 12-20. https://doi.org/10.21100/msor.v22i2

This paper explores a recent move towards project-based learning for a first-year undergraduate statistics module at the University of the West of England, Bristol. The course is aimed at students specialising in Mathematics and Statistics. A classro... Read More about Project-based learning integrated with e-Assessment.

Computational modelling of dynamic cAMP responses to GPCR agonists for exploration of GLP-1R ligand effects in pancreatic β-cells and neurons (2024)
Journal Article
Bridge, L., Chen, S., & Jones, B. (2024). Computational modelling of dynamic cAMP responses to GPCR agonists for exploration of GLP-1R ligand effects in pancreatic β-cells and neurons. Cellular Signalling, 119, Article 111153. https://doi.org/10.1016/j.cellsig.2024.111153

The glucagon-like peptide-1 receptor (GLP-1R) is a class B G protein-coupled receptor (GPCR) which plays important physiological roles in insulin release and promoting fullness. GLP-1R agonists initiate cellular responses by cyclic AMP (cAMP) pathway... Read More about Computational modelling of dynamic cAMP responses to GPCR agonists for exploration of GLP-1R ligand effects in pancreatic β-cells and neurons.

Assessing appearance, speech, and hearing (dis)satisfaction in individuals with cleft lip and/or palate: A contribution to general population norms (2024)
Journal Article
Stock, N. M., Costa, B., White, P., Eve, L., & Bates, A. (in press). Assessing appearance, speech, and hearing (dis)satisfaction in individuals with cleft lip and/or palate: A contribution to general population norms. Cleft Palate-Craniofacial Journal, https://doi.org/10.1177/10556656241241127

Background: Individuals with cleft lip and/or palate (CL/P) may grow up with a visible facial difference, alongside speech and/or hearing challenges. Self-perceptions are stronger predictors of psychosocial adjustment than objective assessments, high... Read More about Assessing appearance, speech, and hearing (dis)satisfaction in individuals with cleft lip and/or palate: A contribution to general population norms.

Cache sharing in UAV-enabled cellular network: A deep reinforcement learning-based approach (2024)
Journal Article
Muslih, H., Ahsan Kazmi, S. M., Mazzara, M., & Baye, G. (2024). Cache sharing in UAV-enabled cellular network: A deep reinforcement learning-based approach. IEEE Access, 12, 43422-43435. https://doi.org/10.1109/ACCESS.2024.3379323

Caching content at base stations has proven effective at reducing transmission delays. This paper investigates the caching problem in a network of highly dynamic cache-enabled Unmanned Aerial Vehicles (UAVs), which serve ground users as aerial base s... Read More about Cache sharing in UAV-enabled cellular network: A deep reinforcement learning-based approach.

Proto–neural networks from thermal proteins (2024)
Journal Article
Mougkogiannis, P., & Adamatzky, A. (2024). Proto–neural networks from thermal proteins. Biochemical and Biophysical Research Communications, 709, Article 149725. https://doi.org/10.1016/j.bbrc.2024.149725

Proteinoids are synthetic polymers that have structural similarities to natural proteins, and their formation is achieved through the application of heat to amino acid combinations in a dehydrated environment. The thermal proteins, initially synthesi... Read More about Proto–neural networks from thermal proteins.

Proto-neurons from abiotic polypeptides (2024)
Journal Article
Mougkogiannis, P., & Adamatzky, A. (2024). Proto-neurons from abiotic polypeptides. Encyclopedia, 4(1), 512-543. https://doi.org/10.3390/encyclopedia4010034

To understand the origins of life, we must first gain a grasp of the unresolved emergence of the first informational polymers and cell-like assemblies that developed into living systems. Heating amino acid mixtures to their boiling point produces the... Read More about Proto-neurons from abiotic polypeptides.

On interaction of proteinoids with simulated neural networks (2024)
Journal Article
Mougkogiannis, P., & Adamatzky, A. (2024). On interaction of proteinoids with simulated neural networks. BioSystems, 237, Article 105175. https://doi.org/10.1016/j.biosystems.2024.105175

Proteinoid-neuron networks combine biological neurons with spiking proteinoid microspheres, which are generated by thermal condensation of amino acids. Complex and dynamic spiking patterns in response to varied stimuli make these networks suitable fo... Read More about On interaction of proteinoids with simulated neural networks.

Electrical spiking activity of proteinoids-ZnO colloids (2024)
Journal Article
Mougkogiannis, P., Raeisi Kheirabadi, N., Cholerio, A., & Adamatzky, A. (2024). Electrical spiking activity of proteinoids-ZnO colloids. Neuromorphic Computing and Engineering, 4(1), Article 014007. https://doi.org/10.1088/2634-4386/ad2afb

We are studying the remarkable electrical properties of Proteinoids-ZnO microspheres with the aim of exploring their potential for a new form of computing. Our research has revealed that these microspheres exhibit behavior similar to neurons, generat... Read More about Electrical spiking activity of proteinoids-ZnO colloids.

TG-SPRED: Temporal graph for sensorial data PREDiction (2024)
Journal Article
Laidi, R., Djenouri, D., Djenouri, Y., & Lin, J. C. (2024). TG-SPRED: Temporal graph for sensorial data PREDiction. ACM Transactions on Sensor Networks, 20(3), 1-20. https://doi.org/10.1145/3649892

This study introduces an innovative method aimed at reducing energy consumption in sensor networks by predicting sensor data, thereby extending the network's operational lifespan. Our model, Temporal Graph Sensor Prediction (TG-SPRED), predicts readi... Read More about TG-SPRED: Temporal graph for sensorial data PREDiction.

Recognition of sounds by ensembles of proteinoids (2024)
Journal Article
Mougkogiannis, P., & Adamatzky, A. (2024). Recognition of sounds by ensembles of proteinoids. Materials Today Bio, 25, Article 100989. https://doi.org/10.1016/j.mtbio.2024.100989

Proteinoids are artificial polymers that imitate certain characteristics of natural proteins, including self-organization, catalytic activity, and responsiveness to external stimuli. This paper examines the acoustic response properties of proteinoids... Read More about Recognition of sounds by ensembles of proteinoids.

Optimisation of small-scale aquaponics systems using artificial intelligence and the IoT: Current status, challenges, and opportunities (2024)
Journal Article
Channa, A. A., Munir, K., Hansen, M., & Tariq, M. F. (2024). Optimisation of small-scale aquaponics systems using artificial intelligence and the IoT: Current status, challenges, and opportunities. Encyclopedia, 4(1), 313-336. https://doi.org/10.3390/encyclopedia4010023

Environment changes, water scarcity, soil depletion, and urbanisation are making it harder to produce food using traditional methods in various regions and countries. Aquaponics is emerging as a sustainable food production system that produces fish a... Read More about Optimisation of small-scale aquaponics systems using artificial intelligence and the IoT: Current status, challenges, and opportunities.

Photographer-guided attributes for underwater image aesthetics (2024)
Journal Article
Emberton, S., & Simons, C. (2024). Photographer-guided attributes for underwater image aesthetics. Quality and User Experience, 9, Article 1. https://doi.org/10.1007/s41233-024-00065-y

Automated aesthetic assessment of photographs is an active research area with applications in image editing and retrieval. There are many suggestions on the various factors of importance in making an image ‘good’ or ‘aesthetically pleasing’. However,... Read More about Photographer-guided attributes for underwater image aesthetics.

The inadvertently revealing statistic: A systemic gap in statistical training? (2024)
Journal Article
Derrick, B., Green, E., Ritchie, F., Smith, J., & White, P. (2024). The inadvertently revealing statistic: A systemic gap in statistical training?. Significance, 21(1), 24-27. https://doi.org/10.1093/jrssig/qmae009

While concerns around data privacy are well-known, there's a lack of awareness and training when it comes to the confidentiality risk of published statistics, argue Ben Derrick, Elizabeth Green, Felix Ritchie, Jim Smith, Paul White