All Outputs (988)

Characterising recovery following abdominal aortic aneurysm repair using cardiopulmonary exercise testing and patient reported outcome measures (2022)
Journal Article
Dodds, N., Angell, J., Lewis, S. L., Pyke, M., White, P., Darweish Medniuk, A., …Tolchard, S. (2023). Characterising recovery following abdominal aortic aneurysm repair using cardiopulmonary exercise testing and patient reported outcome measures. Disability and Rehabilitation, 45(3), 1178-1184. https://doi.org/10.1080/09638288.2022.2055162

Purpose: Surgery is associated with a post-operative stress response, changes in cardiopulmonary reserve, and metabolic demand. Here recovery after abdominal aortic aneurysm repair is investigated using cardiopulmonary exercise testing and patient-re... Read More about Characterising recovery following abdominal aortic aneurysm repair using cardiopulmonary exercise testing and patient reported outcome measures.

Association between measures derived from children's primary exfoliated teeth and psychopathology symptoms: Results from a community-based study (2022)
Journal Article
Dunn, E. C., Mountain, R. V., Davis, K. A., Shaffer, I., Smith, A. D. A. C., Roubinov, D. S., …Boyce, W. T. (2022). Association between measures derived from children's primary exfoliated teeth and psychopathology symptoms: Results from a community-based study. Frontiers in Dental Medicine, 3, Article 803364. https://doi.org/10.3389/fdmed.2022.803364

Mental disorders are among the most disabling health conditions globally. However, there remains a lack of valid, reliable, noninvasive, and inexpensive biomarkers to identify (at an early age) people who are at the greatest risk of experiencing a fu... Read More about Association between measures derived from children's primary exfoliated teeth and psychopathology symptoms: Results from a community-based study.

Chlorella sensors in liquid marbles and droplets (2022)
Journal Article
Phillips, N., Mayne, R., & Adamatzky, A. (2022). Chlorella sensors in liquid marbles and droplets. Sensing and Bio-Sensing Research, 36, Article 100491. https://doi.org/10.1016/j.sbsr.2022.100491

The use of live organisms in electrically-coupled sensing devices has been suggested as an alternative low-cost, low-environmental footprint and robust technology for continuous monitoring and sensing applications. The utility of Chlorella vulgaris a... Read More about Chlorella sensors in liquid marbles and droplets.

Epidemiology and outcomes of tibial plateau fractures in adults aged 60 and over treated in the United Kingdom (2022)
Journal Article
Donovan, R. L., Smith, J. R., Yeomans, D., Bennett, F., White, P., & Chesser, T. J. (2022). Epidemiology and outcomes of tibial plateau fractures in adults aged 60 and over treated in the United Kingdom. Injury, 53(6), 2219-2225. https://doi.org/10.1016/j.injury.2022.03.048

Background: Tibial plateau fractures are common in older adults, often resulting from low-energy falls. Although lower limb fragility fracture care has evolved, the management of tibial plateau fractures in older patients remains poorly researched. T... Read More about Epidemiology and outcomes of tibial plateau fractures in adults aged 60 and over treated in the United Kingdom.

ApplianceNet: A neural network based framework to recognize daily life activities and behavior in smart home using smart plugs (2022)
Journal Article
Fahim, M., Kazmi, S. M. A., & Khattak, A. M. (2022). ApplianceNet: A neural network based framework to recognize daily life activities and behavior in smart home using smart plugs. Neural Computing and Applications, 34(15), 12749-12763. https://doi.org/10.1007/s00521-022-07144-1

A smart plug can transform the typical electrical appliance into a smart multi-functional device, which can communicate over the Internet. It has the ability to report the energy consumption pattern of the attached appliance which offer the further a... Read More about ApplianceNet: A neural network based framework to recognize daily life activities and behavior in smart home using smart plugs.

Nonbinary representations in the NK and NKCS models (2022)
Journal Article
Bull, L. (2022). Nonbinary representations in the NK and NKCS models. Complex Systems -Champaign-, 31(1), 87-101. https://doi.org/10.25088/ComplexSystems.31.1.87

The NK model has been used widely to explore aspects of natural evolution and complex systems. Traditionally, the model has used a binary representation scheme. This paper introduces a modified form of the NK model through which to systematically exp... Read More about Nonbinary representations in the NK and NKCS models.

qNoise: A generator of non-Gaussian colored noise (2022)
Journal Article
Deza, J. I., & Ihshaish, H. (2022). qNoise: A generator of non-Gaussian colored noise. SoftwareX, 18, Article 101034. https://doi.org/10.1016/j.softx.2022.101034

We introduce a software generator for a class of colored (self-correlated) and non-Gaussian noise, whose statistics and spectrum depend on two param- eters, q and τ. Inspired by Tsallis’ nonextensive formulation of statistical physics, the so-called... Read More about qNoise: A generator of non-Gaussian colored noise.

Functionality-preserving adversarial machine learning for robust classification in cybersecurity and intrusion detection domains: A survey (2022)
Journal Article
McCarthy, A., Ghadafi, E., Andriotis, P., & Legg, P. (2022). Functionality-preserving adversarial machine learning for robust classification in cybersecurity and intrusion detection domains: A survey. Journal of Cybersecurity and Privacy, 2(1), 154-190. https://doi.org/10.3390/jcp2010010

Machine learning has become widely adopted as a strategy for dealing with a variety of cybersecurity issues, ranging from insider threat detection to intrusion and malware detection. However, by their very nature, machine learning systems can introdu... Read More about Functionality-preserving adversarial machine learning for robust classification in cybersecurity and intrusion detection domains: A survey.

Online service provisioning in NFV-enabled networks using deep reinforcement learning (2022)
Journal Article
Nouruzi, A., Zakeri, A., Javan, M. R., Mokari, N., Hussain, R., & Kazmi, S. M. A. (2022). Online service provisioning in NFV-enabled networks using deep reinforcement learning. IEEE Transactions on Network and Service Management, 19(3), 3276-3289. https://doi.org/10.1109/TNSM.2022.3159670

In this paper, we study a Deep Reinforcement Learning (DRL) based framework for an online end-user service provisioning in a Network Function Virtualization (NFV)-enabled network. We formulate an optimization problem aiming to minimize the cost of ne... Read More about Online service provisioning in NFV-enabled networks using deep reinforcement learning.

The spatio-temporal influence of atmospheric circulations on monthly precipitation in Great Britain (2022)
Journal Article
West, H., White, P., Quinn, N., & Horswell, M. (2022). The spatio-temporal influence of atmospheric circulations on monthly precipitation in Great Britain. Atmosphere, 13(3), Article 429. https://doi.org/10.3390/atmos13030429

It has long been understood that the North Atlantic Oscillation (NAO) is a key driver of regional climate in Great Britain and across Europe. However, studies have also noted that there is spatio-temporal variability in NAO-rainfall signatures which... Read More about The spatio-temporal influence of atmospheric circulations on monthly precipitation in Great Britain.

Variational restricted Boltzmann machines to automated anomaly detection (2022)
Journal Article
Demertzis, K., Iliadis, L., Pimenidis, E., & Kikiras, P. (2022). Variational restricted Boltzmann machines to automated anomaly detection. Neural Computing and Applications, 34, 15207–15220. https://doi.org/10.1007/s00521-022-07060-4

Data-driven methods are implemented using particularly complex scenarios that reflect in-depth perennial knowledge and research. Hence, the available intelligent algorithms are completely dependent on the quality of the available data. This is not po... Read More about Variational restricted Boltzmann machines to automated anomaly detection.

Intelligent deep fusion network for anomaly identification in maritime transportation systems (2022)
Journal Article
Djenouri, Y., Belhadi, A., Djenouri, D., Srivastava, G., & Lin, J. C. (2023). Intelligent deep fusion network for anomaly identification in maritime transportation systems. IEEE Transactions on Intelligent Transportation Systems, 24(2), 2392-2400. https://doi.org/10.1109/TITS.2022.3151490

This paper introduces a novel deep learning architecture for identifying outliers in the context of intelligent transportation systems. The use of a convolutional neural network with decomposition is explored to find abnormal behavior in maritime dat... Read More about Intelligent deep fusion network for anomaly identification in maritime transportation systems.

Frequency-dependent characteristics of nerve-mediated ATP and acetylcholine release from detrusor smooth muscle (2022)
Journal Article
Chakrabarty, B., Aitchison, K., White, P., McCarthy, C. J., Kanai, A. J., & Fry, C. H. (2022). Frequency-dependent characteristics of nerve-mediated ATP and acetylcholine release from detrusor smooth muscle. Experimental Physiology, 107(4), 350-358. https://doi.org/10.1113/EP090238

New Findings: What is the central question of this study? Is the frequency dependence of co-transmitter release from postganglionic nerve fibres different for each transmitter? What is the main finding and its importance? Release of co-transmitters f... Read More about Frequency-dependent characteristics of nerve-mediated ATP and acetylcholine release from detrusor smooth muscle.

Updates to data versions and analytic methods influence the reproducibility of results from epigenome-wide association studies (2022)
Journal Article
Lussier, A. A., Zhu, Y., Smith, B. J., Simpkin, A. J., Smith, A. D., Suderman, M. J., …Dunn, E. C. (2022). Updates to data versions and analytic methods influence the reproducibility of results from epigenome-wide association studies. Epigenetics, https://doi.org/10.1080/15592294.2022.2028072

Introduction: Biomedical research has grown increasingly cooperative through the sharing of consortia-level epigenetic data. Since consortia preprocess data prior to distribution, new processing pipelines can lead to different versions of the same d... Read More about Updates to data versions and analytic methods influence the reproducibility of results from epigenome-wide association studies.

A novel, scalable social media-based intervention Warna-Warni Waktu to reduce body dissatisfaction among young Indonesian women: Protocol for a parallel randomized controlled trial (2022)
Journal Article
Garbett, K. M., Craddock, N., Haywood, S., Nasution, K., White, P., Saraswati, L. A., …Williamson, H. (2022). A novel, scalable social media-based intervention Warna-Warni Waktu to reduce body dissatisfaction among young Indonesian women: Protocol for a parallel randomized controlled trial. JMIR Research Protocols, 11(1), Article e33596. https://doi.org/10.2196/33596

Background: Despite the prevalence of body dissatisfaction among young Indonesian women and its consequential negative impacts, there are currently no evidence-based, culturally appropriate interventions to tackle this issue. Therefore, there is a ne... Read More about A novel, scalable social media-based intervention Warna-Warni Waktu to reduce body dissatisfaction among young Indonesian women: Protocol for a parallel randomized controlled trial.

Insights into the dynamics of ligand-induced dimerisation via mathematical modelling and analysis (2022)
Journal Article
White, C., Rottschäfer, V., & Bridge, L. (2022). Insights into the dynamics of ligand-induced dimerisation via mathematical modelling and analysis. Journal of Theoretical Biology, 538, 110996. https://doi.org/10.1016/j.jtbi.2021.110996

The vascular endothelial growth factor (VEGF) receptor (VEGFR) system plays a role in cancer and many other diseases. It is widely accepted that VEGFR receptors dimerise in response to VEGF binding. However, analysis of these mechanisms and their imp... Read More about Insights into the dynamics of ligand-induced dimerisation via mathematical modelling and analysis.

Inter-annotator agreement using the Conversation Analysis Modelling Schema, for dialogue (2022)
Journal Article
Duran, N., Battle, S., & Smith, J. (2022). Inter-annotator agreement using the Conversation Analysis Modelling Schema, for dialogue. Communication Methods and Measures, 16(3), 182-214. https://doi.org/10.1080/19312458.2021.2020229

We present the Conversation Analysis Modeling Schema (CAMS), a novel dialogue labeling schema that combines the Conversation Analysis concept of Adjacency Pairs, with Dialogue Acts. The aim is to capture both the semantic and syntactic structure of d... Read More about Inter-annotator agreement using the Conversation Analysis Modelling Schema, for dialogue.

Transfer learning for operator selection: A reinforcement learning approach (2022)
Journal Article
Durgut, R., Aydin, M. E., & Rakib, A. (2022). Transfer learning for operator selection: A reinforcement learning approach. Algorithms, 15(1), Article 24. https://doi.org/10.3390/a15010024

In the past two decades, metaheuristic optimisation algorithms (MOAs) have been increasingly popular, particularly in logistic, science, and engineering problems. The fundamental characteristics of such algorithms are that they are dependent on a par... Read More about Transfer learning for operator selection: A reinforcement learning approach.

An acceptance and commitment therapy prototype mobile program for individuals with a visible difference: Mixed methods feasibility study (2022)
Journal Article
Zucchelli, F., Donnelly, O., Rush, E., White, P., Gwyther, H., Williamson, H., & The VTCT Foundation Research Team at the Centre for Appearance Research. (2022). An acceptance and commitment therapy prototype mobile program for individuals with a visible difference: Mixed methods feasibility study. JMIR Formative Research, 6(1), Article e33449. https://doi.org/10.2196/33449

Background: Mobile apps may offer a valuable platform for delivering evidence-based psychological interventions for individuals with atypical appearances, or visible differences, who experience psychosocial appearance concerns such as appearance-base... Read More about An acceptance and commitment therapy prototype mobile program for individuals with a visible difference: Mixed methods feasibility study.

Marimo actuated rover systems (2022)
Journal Article
Phillips, N., Draper, T. C., Mayne, R., Reynolds, D. M., & Adamatzky, A. (2022). Marimo actuated rover systems. Journal of Biological Engineering, 16(1), Article 3. https://doi.org/10.1186/s13036-021-00279-0

Background: The potential to directly harness photosynthesis to make actuators, biosensors and bioprocessors has been previously demonstrated in the literature. Herein, this capability has been expanded to more advanced systems — Marimo Actuated Rove... Read More about Marimo actuated rover systems.