All Outputs (2058)

Digital twins in industry 4.0 cyber security (2024)
Conference Proceeding
Lo, C., Win, T. Y., Rezaeifar, Z., Khan, Z., & Legg, P. (2024). Digital twins in industry 4.0 cyber security. In Proceedings of the IEEE Smart World Congress 2023. https://doi.org/10.1109/swc57546.2023.10449147

The increased adoption of sophisticated Cyber Physical Systems (CPS) in critical infrastructure and various aspects of Industry 4.0 has exposed vulnerabilities stemming from legacy CPS and Industrial Internet of Things (IIoT) devices. The interconnec... Read More about Digital twins in industry 4.0 cyber security.

Evolving multi-valued regulatory networks on tuneable fitness landscapes (2023)
Journal Article
Bull, L. (2023). Evolving multi-valued regulatory networks on tuneable fitness landscapes. Complex Systems -Champaign-, 32(3), 289-307. https://doi.org/10.25088/ComplexSystems.32.3.289

Random Boolean networks have been used widely to explore aspects of gene regulatory networks. As the name implies, traditionally the model has used a binary representation scheme. This paper uses a modified form of the model to systematically explore... Read More about Evolving multi-valued regulatory networks on tuneable fitness landscapes.

Reproducing "Show, attend and tell: Neural image caption generation with visual attention" (2023)
Journal Article
Liu, H., & Brailsford, T. (2023). Reproducing "Show, attend and tell: Neural image caption generation with visual attention". Journal of Physics: Conference Series, 2589(1), Article 012012. https://doi.org/10.1088/1742-6596/2589/1/012012

This paper replicates the experiment presented in the work of Xu et al. [1], and examines errors in the generated captions. The analysis of the identified errors aims to provide deeper insight into the underlying causes. This study also encompass... Read More about Reproducing "Show, attend and tell: Neural image caption generation with visual attention".

The co-creation, initial piloting, and protocol for a cluster randomised controlled trial of a coach-led positive body image intervention for girls in sport (2023)
Journal Article
Matheson, E. L., Schneider, J., Tinoco, A., Gentili, C., Silva-Breen, H., LaVoi, N. M., …Diedrichs, P. C. (2023). The co-creation, initial piloting, and protocol for a cluster randomised controlled trial of a coach-led positive body image intervention for girls in sport. BMC Public Health, 23(1), Article 1467. https://doi.org/10.1186/s12889-023-16360-w

Background: Globally, girls disengage from sports at an earlier age and higher rate than boys. This is, in part, due to the unique body image challenges that girls face, relative to their male peers. Existing intervention efforts that aim to reduce g... Read More about The co-creation, initial piloting, and protocol for a cluster randomised controlled trial of a coach-led positive body image intervention for girls in sport.

The OdonAssist inflatable device for assisted vaginal birth—the ASSIST II study (United Kingdom) (2023)
Journal Article
Hotton, E. J., Hotton, E. J., Bale, N., Rose, C., White, P., Wade, J., …Reading, I. (2024). The OdonAssist inflatable device for assisted vaginal birth—the ASSIST II study (United Kingdom). American Journal of Obstetrics and Gynecology, 230(3), https://doi.org/10.1016/j.ajog.2023.05.018

Background: Decreasing rates of assisted vaginal birth have been paralleled with increasing rates of cesarean deliveries over the last 40 years. The OdonAssist is a novel device for assisted vaginal birth. Iterative changes to clinical parameters, de... Read More about The OdonAssist inflatable device for assisted vaginal birth—the ASSIST II study (United Kingdom).

Federated learning: Data privacy and cyber security in edge-based machine learning (2023)
Book Chapter
White, J., & Legg, P. (2023). Federated learning: Data privacy and cyber security in edge-based machine learning. In C. Hewage, Y. Rahulamathavan, & D. Ratnayake (Eds.), Data Protection in a Post-Pandemic Society (DPPPS) – Best Practices, Laws, Regulations, and Recent Solutions. Springer. https://doi.org/10.1007/978-3-031-34006-2

Machine learning is now a key component of many applications for understanding trends and characteristics within the wealth of data that may be processed, whether this be learning about customer preferences and travel preferences, forecasting future... Read More about Federated learning: Data privacy and cyber security in edge-based machine learning.

A prospective comparison of invasive and non‐invasive blood pressure in children undergoing cardiac catheterization (2023)
Journal Article
Beringer, R., Keith, A., Jones, E., Murphy, T., & White, P. (in press). A prospective comparison of invasive and non‐invasive blood pressure in children undergoing cardiac catheterization. Pediatric Anesthesia, 33(10), 816-822. https://doi.org/10.1111/pan.14723

Background: Blood pressure measurement is a standard of monitoring during general anesthesia. Invasive measurement is considered the gold standard but is less commonly used than non-invasive. Automated oscillometric blood pressure devices measure the... Read More about A prospective comparison of invasive and non‐invasive blood pressure in children undergoing cardiac catheterization.

Classical structural identifiability methodology applied to low-dimensional dynamic systems in receptor theory (2023)
Journal Article
White, C., Rottschäfer, V., & Bridge, L. (2024). Classical structural identifiability methodology applied to low-dimensional dynamic systems in receptor theory. Journal of Pharmacokinetics and Pharmacodynamics, 51, 39–63. https://doi.org/10.1007/s10928-023-09870-y

Mathematical modelling has become a key tool in pharmacological analysis, towards understanding dynamics of cell signalling and quantifying ligand-receptor interactions. Ordinary differential equation (ODE) models in receptor theory may be used to pa... Read More about Classical structural identifiability methodology applied to low-dimensional dynamic systems in receptor theory.

A cost optimisation model for maintenance planning in offshore wind farms with wind speed dependent failure rates (2023)
Journal Article
Li, X., Song, X., & Ouelhadj, D. (2023). A cost optimisation model for maintenance planning in offshore wind farms with wind speed dependent failure rates. Mathematics, 11(13), Article 2809. https://doi.org/10.3390/math11132809

This paper presents an optimisation model for cost optimisation of maintenance at an offshore wind farm (OWF). The model is created for OWF project developers to optimise strategic resources to meet their maintenance demand. The model takes into acco... Read More about A cost optimisation model for maintenance planning in offshore wind farms with wind speed dependent failure rates.

Association between the timing of childhood adversity and epigenetic patterns across childhood and adolescence: findings from the Avon Longitudinal Study of Parents and Children (ALSPAC) prospective cohort (2023)
Journal Article
Lussier, A. A., Zhu, Y., Smith, B. J., Cerutti, J., Fisher, J., Melton, P., …Dunn, E. C. (2023). Association between the timing of childhood adversity and epigenetic patterns across childhood and adolescence: findings from the Avon Longitudinal Study of Parents and Children (ALSPAC) prospective cohort. Lancet Child and Adolescent Health, 7(8), 532-543. https://doi.org/10.1016/S2352-4642%2823%2900127-X

Background: Childhood adversity is a potent determinant of health across development and is associated with altered DNA methylation signatures, which might be more common in children exposed during sensitive periods in development. However, it remain... Read More about Association between the timing of childhood adversity and epigenetic patterns across childhood and adolescence: findings from the Avon Longitudinal Study of Parents and Children (ALSPAC) prospective cohort.

Early intravenous beta-blockade with esmolol in adults with severe traumatic brain injury (EBB-TBI): Protocol for a phase 2a intervention design study (2023)
Journal Article
Thomas, M., Hayes, K., White, P., Ramesh, A., Culliford, L., Ackland, G., & Pickering, A. (2024). Early intravenous beta-blockade with esmolol in adults with severe traumatic brain injury (EBB-TBI): Protocol for a phase 2a intervention design study. Neurocritical Care, 40, 795–806. https://doi.org/10.1007/s12028-023-01755-9

Traumatic brain injury is a leading cause of death and disability worldwide. Interventions that mitigate secondary brain injury have the potential to improve outcomes for patients and reduce the impact on communities and society. Increased circulatin... Read More about Early intravenous beta-blockade with esmolol in adults with severe traumatic brain injury (EBB-TBI): Protocol for a phase 2a intervention design study.

Kombucha electronics: Electronic circuits on kombucha mats (2023)
Journal Article
Adamatzky, A., Tarabella, G., Phillips, N., Chiolerio, A., D’Angelo, P., Nikolaidou, A., & Sirakoulis, G. C. (2023). Kombucha electronics: Electronic circuits on kombucha mats. Scientific Reports, 13(1), 9367. https://doi.org/10.1038/s41598-023-36244-8

A kombucha is a tea and sugar fermented by over sixty kinds of yeasts and bacteria. This symbiotic community produces kombucha mats, which are cellulose-based hydrogels. The kombucha mats can be used as an alternative to animal leather in industry an... Read More about Kombucha electronics: Electronic circuits on kombucha mats.

Towards digital-twin solutions for the 15 minute city (2023)
Conference Proceeding
Ludlow, D., Khan, Z., Chrysoulakis, N., & Mitraka, Z. (2023). Towards digital-twin solutions for the 15 minute city. In 2023 Joint Urban Remote Sensing Event (JURSE). https://doi.org/10.1109/jurse57346.2023.10144161

The Covid-19 pandemic and the climate emergency have re-emphasised the need to re-evaluate urban governance and planning process in cities. The "new-normal"and digital transformations offer catalysts to drive and deliver climate mitigation in cities.... Read More about Towards digital-twin solutions for the 15 minute city.

Deep learning-based multi-target regression for traffic-related air pollution forecasting (2023)
Journal Article
Akinosho, T. D., Bilal, M., Hayes, E. T., Ajayi, A., Ahmed, A., & Khan, Z. (2023). Deep learning-based multi-target regression for traffic-related air pollution forecasting. Machine Learning with Applications, 12, Article 100474. https://doi.org/10.1016/j.mlwa.2023.100474

Traffic-related air pollution (TRAP) remains one of the main contributors to urban pollution and its impact on climate change cannot be overemphasised. Experts in developed countries strive to make optimal use of traffic and air qua... Read More about Deep learning-based multi-target regression for traffic-related air pollution forecasting.

Sensory training system for use at home by people with complex regional pain syndrome in England: Protocol for a proof-of-concept study (2023)
Journal Article
Coggins, J., Grieve, S., Hart, D., Llewellyn, A., Palmer, M., Boichat, C., & McCabe, C. (2023). Sensory training system for use at home by people with complex regional pain syndrome in England: Protocol for a proof-of-concept study. BMJ Open, 13(5), Article e070920. https://doi.org/10.1136/bmjopen-2022-070920

INTRODUCTION: Complex regional pain syndrome (CRPS) is a disabling and distressing chronic pain condition characterised by a range of sensory, motor, autonomic and trophic symptoms. UK guidelines recommend therapy interventions to help normalise touc... Read More about Sensory training system for use at home by people with complex regional pain syndrome in England: Protocol for a proof-of-concept study.

Proposing magnetoimpedance effect for neuromorphic computing (2023)
Journal Article
Jamilpanah, L., Chiolerio, A., Crepaldi, M., Adamatzky, A., & Mohseni, M. (2023). Proposing magnetoimpedance effect for neuromorphic computing. Scientific Reports, 13(1), Article 8635. https://doi.org/10.1038/s41598-023-35876-0

Oscillation of physical parameters in materials can result in a peak signal in the frequency spectrum of the voltage measured from the materials. This spectrum and its amplitude/frequency tunability, through the application of bias voltage or current... Read More about Proposing magnetoimpedance effect for neuromorphic computing.

An evaluation into procalcitonin levels in full-term neonates managed for suspected early onset sepsis due to probable maternal intrapartum sepsis (2023)
Journal Article
Walker, S., Harding, I., Soomro, K., Bamber, A. R., & Liebling, R. E. (2023). An evaluation into procalcitonin levels in full-term neonates managed for suspected early onset sepsis due to probable maternal intrapartum sepsis. Journal of Neonatology, 37(4), 325 - 333. https://doi.org/10.1177/09732179231169623

Purpose: To investigate procalcitonin (PCT) levels in full-term neonates managed for suspected early onset sepsis (EOS) due to probable maternal intrapartum sepsis. Methods: Prospective longitudinal observational study at University Hospitals of Bris... Read More about An evaluation into procalcitonin levels in full-term neonates managed for suspected early onset sepsis due to probable maternal intrapartum sepsis.

The just-about-right pilot sample size to control the error margin (2023)
Journal Article
Obodo, S., Toher, D., & White, P. (2023). The just-about-right pilot sample size to control the error margin. International Journal of Statistics and Probability, 12(3), https://doi.org/10.5539/ijsp.v12n3p1

In practice, the required sample size for a two-arm randomised controlled trial cannot always be determined pre-study with great accuracy. This lack of accuracy has economic, ethical and scientific implications. The sample size for a pilot study is... Read More about The just-about-right pilot sample size to control the error margin.

Body confident coaching: A pilot randomized controlled trial evaluating the acceptability of a web-based body image intervention for coaches of adolescent girls (2023)
Journal Article
Schneider, K., Matheson, E. L., Tinoco, A., Gentili, C., White, P., Boucher, C., …LaVoi, N. M. (2024). Body confident coaching: A pilot randomized controlled trial evaluating the acceptability of a web-based body image intervention for coaches of adolescent girls. Journal of Applied Sport Psychology, 36(2), 231-256. https://doi.org/10.1080/10413200.2023.2212023

Coaches influence athletes’ body image, but often feel ill-equipped to address body image concerns and inadvertently perpetuate harmful body ideals. No evidence-based, empirically-tested body image intervention for coaches exists. This study evaluate... Read More about Body confident coaching: A pilot randomized controlled trial evaluating the acceptability of a web-based body image intervention for coaches of adolescent girls.

Intraputamenal cerebral dopamine neurotrophic factor in Parkinson's disease: A randomized, double‐blind, multicenter phase 1 trial (2023)
Journal Article
Huttunen, H. J., Booms, S., Sjögren, M., Kerstens, V., Johansson, J., Holmnäs, R., …Svenningsson, P. (2023). Intraputamenal cerebral dopamine neurotrophic factor in Parkinson's disease: A randomized, double‐blind, multicenter phase 1 trial. Movement Disorders, 38(7), 1209-1222. https://doi.org/10.1002/mds.29426

Background: Cerebral dopamine neurotrophic factor (CDNF) is an unconventional neurotrophic factor that protects dopamine neurons and improves motor function in animal models of Parkinson's disease (PD). Objective: The primary objectives of this study... Read More about Intraputamenal cerebral dopamine neurotrophic factor in Parkinson's disease: A randomized, double‐blind, multicenter phase 1 trial.