A Stream X-Machine tool for modelling and generating test cases for chronic diseases based on state-counting approach (2021)
Journal Article
Phung, K., Jayatilake, D., Ogunshile, E., & Aydin, M. (2021). A Stream X-Machine tool for modelling and generating test cases for chronic diseases based on state-counting approach. Programming and Computer Software, 47(8), 765-777. https://doi.org/10.1134/S0361768821080211

In the biomedical domain, diagrammatical models have been extensively used to describe and understand the behaviour of biological organisms (biological agents) for decades. Although these models are simple and comprehensive, they can only offer a sta... Read More about A Stream X-Machine tool for modelling and generating test cases for chronic diseases based on state-counting approach.

A novel software fault prediction approach to predict error-type proneness in the Java programs using Stream X-Machine and machine learning (2021)
Conference Proceeding
Phung, K., Ogunshile, E., & Aydin, M. (2021). A novel software fault prediction approach to predict error-type proneness in the Java programs using Stream X-Machine and machine learning. In 2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT) (168-179). https://doi.org/10.1109/CONISOFT52520.2021.00032

Software fault prediction makes software quality assurance process more efficient and economic. Most of the works related to software fault prediction have mainly focused on classifying software modules as faulty or not, which does not produce suffic... Read More about A novel software fault prediction approach to predict error-type proneness in the Java programs using Stream X-Machine and machine learning.

Modeling diseases with Stream X Machine (2021)
Conference Proceeding
Jayatilake, S., Ogunshile, E., Aydin, M., & Phung, K. (2021). Modeling diseases with Stream X Machine. In 2021 9th International Conference in Software Engineering Research and Innovation (CONISOFT) (61-68). https://doi.org/10.1109/CONISOFT52520.2021.00020

At present the world is moving towards alternative medicine and behavioural alteration for treating, managing, and preventing chronical diseases. With the individuality of the human beings has added more complexity in a domain where very high accurac... Read More about Modeling diseases with Stream X Machine.

Adopting industry 4.0 by leveraging organisational factors (2021)
Journal Article
Srivastava, D. K., Kumar, V., Ekren, B. Y., Upadhyay, A., Tyagi, M., & Kumari, A. (2022). Adopting industry 4.0 by leveraging organisational factors. Technological Forecasting and Social Change, 176, Article 121439. https://doi.org/10.1016/j.techfore.2021.121439

The manufacturing sector needs to focus on social, environmental and technological factors to integrate Industry 4.0 in production planning, logistics and supply chains. Technical Education Institutes (TEIs) can play a key role in achieving this ambi... Read More about Adopting industry 4.0 by leveraging organisational factors.

Accelerometers-embedded Lycra sleeves to test wear compliance and upper limb activity in people with stroke: A feasibility study (2021)
Journal Article
Kumar, P., Brodie, S., Molton, J., O'Reilly, R., Steele, J., Pearce, A., …Caleb-Solly, P. (2023). Accelerometers-embedded Lycra sleeves to test wear compliance and upper limb activity in people with stroke: A feasibility study. Journal of Prosthetics and Orthotics, 35(2), 122-128. https://doi.org/10.1097/JPO.0000000000000406

Introduction To establish a possible effect of Lycra sleeves, accurate recording of wear time is critical. The aim of this study was to test whether an accelerometer-embedded Lycra sleeve can measure wear compliance and record upper-limb (UL) movemen... Read More about Accelerometers-embedded Lycra sleeves to test wear compliance and upper limb activity in people with stroke: A feasibility study.

Fungal architectures (2021)
Exhibition / Performance
Nikolaidou, A., Adamatzky, A., Phillips, N., Roberts, N., & Petrova, I. Fungal architectures. [Installations, Prints]. 13 December 2021 - 19 December 2021. (Unpublished)

"Fungal architectures" arts exhibition presents works inspired by protocognition of fungi and slime moulds and fungal materials. Fungal Architectures is a new cross-disciplinary research project that seeks to develop a fully integrated structural and... Read More about Fungal architectures.

Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding (2021)
Journal Article
Pearson, M. J., Dora, S., Struckmeier, O., Knowles, T. C., Mitchinson, B., Tiwari, K., …Pennartz, C. M. (2021). Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding. Frontiers in Robotics and AI, 8, Article 732023. https://doi.org/10.3389/frobt.2021.732023

Recognising familiar places is a competence required in many engineering applications that interact with the real world such as robot navigation. Combining information from different sensory sources promotes robustness and accuracy of place recogniti... Read More about Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding.

Transforming tradition: how the iconic Christmas Lectures series is perceived by its audiences (2021)
Journal Article
Sardo, A. M., Little, H., & Fogg-Rogers, L. (2021). Transforming tradition: how the iconic Christmas Lectures series is perceived by its audiences. International Journal of Science Education, Part B: Communication and Public Engagement, 11(4), https://doi.org/10.1080/21548455.2021.2012298

The Royal Institution Christmas Lectures are a landmark in the history of science communication. With today’s changing media landscape, it is important to know who is currently watching, how they are watching, and how they are perceiving the content.... Read More about Transforming tradition: how the iconic Christmas Lectures series is perceived by its audiences.

Precision fibre angle inspection for carbon fibre composite structures using polarisation vision (2021)
Journal Article
Atkinson, G., O'Hara Nash, S., & Smith, L. (2021). Precision fibre angle inspection for carbon fibre composite structures using polarisation vision. Electronics, 10(22), Article 2765. https://doi.org/10.3390/electronics10222765

This paper evaluates the precision of polarisation imaging technology for the inspection of carbon fibre composite components. Specifically, it assesses the feasibility of the technology for fibre orientation measurements based on the premise that li... Read More about Precision fibre angle inspection for carbon fibre composite structures using polarisation vision.

Statistical disclosure control for HESA: Part 1: Review of SDC theory (2021)
Report
Green, E., & Ritchie, F. (2021). Statistical disclosure control for HESA: Part 1: Review of SDC theory. Higher Education Statistics Agency (HESA)

This report for the Higher Education Statistics Agency (HESA) is a summary of statistical disclosure control (SDC) methods for tabular outputs.

Finite element-based optimisation of an elastomeric honeycomb for impact mitigation in helmet liners (2021)
Journal Article
Adams, R., Townsend, S., Soe, S., & Theobald, P. (2022). Finite element-based optimisation of an elastomeric honeycomb for impact mitigation in helmet liners. International Journal of Mechanical Sciences, 214, Article 106920. https://doi.org/10.1016/j.ijmecsci.2021.106920

Finite element simulation was used to analyse the response of an elastomeric pre-buckled honeycomb structure under impact loading, to establish its suitability for use in helmet liners. A finite element-based optimisation was performed using a search... Read More about Finite element-based optimisation of an elastomeric honeycomb for impact mitigation in helmet liners.

The past and present of transnational organized crime in America (2021)
Book Chapter
Woodiwiss, M., & Young, M. (2021). The past and present of transnational organized crime in America. In F. Allum, & S. Gilmour (Eds.), The Routledge Handbook of Transnational Organized Crime (90-140). (Second). OXON: Routledge. https://doi.org/10.4324/9781003044703

This fully revised new edition provides a definitive and holistic overview of Transnational Organized Crime (TOC) in a world in which right wing populism has gained ground, trade wars are increasing, climate change is a reality and Covid poses a chal... Read More about The past and present of transnational organized crime in America.

Environmental analysis and optimisation of an in-orbit shape memory alloy deployment mechanism (2021)
Conference Proceeding
Zaidi, Y., & Wright, C. (2021). Environmental analysis and optimisation of an in-orbit shape memory alloy deployment mechanism

This study presents the analysis and optimisation of a novel deployment mechanism that utilises the shape memory effect inherent in Nickel-Titanium alloys, namely Nitinol. The mechanism is currently designed to secure and deploy solar panels on board... Read More about Environmental analysis and optimisation of an in-orbit shape memory alloy deployment mechanism.

Value co-creation in the B2B context: A conceptual framework and its implications (2021)
Journal Article
Pathak, B., Ashok, M., & Tan, Y. L. (2022). Value co-creation in the B2B context: A conceptual framework and its implications. Service Industries Journal, 42(3-4), 178-205. https://doi.org/10.1080/02642069.2021.1989414

This study aims to bring a renewed focus on Value Co-Creation (VCC) between an organisation (service provider) and its customers in the business-to-business (B2B) context. From the literature review, a conceptual framework of factors affecting VCC wa... Read More about Value co-creation in the B2B context: A conceptual framework and its implications.

Automatic Checking of Research Outputs (ACRO): A tool for dynamic disclosure checks (2021)
Journal Article
Green, E., Ritchie, F., & Smith, J. (2021). Automatic Checking of Research Outputs (ACRO): A tool for dynamic disclosure checks. ESS Statistical Working Papers, 2021 Edition, https://doi.org/10.2785/75954

This paper discusses the issues surrounding the creation of an automatic tool to reduce the burden of output checking in research environments. It describes ACRO (Automatic Checking of Research Outputs), a Stata tool written as a proof-of-concept, an... Read More about Automatic Checking of Research Outputs (ACRO): A tool for dynamic disclosure checks.

Emerging technologies in emergency situations (Guest editorial) (2021)
Journal Article
Fosso Wamba, S., Queiroz, M., Roscoe, S., Phillips, W., Kapletia, D., & Azadegan, A. (2021). Emerging technologies in emergency situations (Guest editorial). International Journal of Operations and Production Management, 41(9), 1405-1416. https://doi.org/10.1108/IJOPM-07-2021-0481

The world is witnessing an unprecedented upheaval in global operations and supply chains (Azadegan & Dooley, 2021; Scholten et al., 2020). Increasingly occurring natural disasters and the COVID-19 pandemic have plunged organisations into a state of e... Read More about Emerging technologies in emergency situations (Guest editorial).

Statistical disclosure controls for machine learning models (2021)
Conference Proceeding
Krueger, S., Mansouri-Benssassi, E., Ritchie, F., & Smith, J. (2021). Statistical disclosure controls for machine learning models

Artificial Intelligence (AI) models are trained on large datasets. Where the training data is sensitive, the data holders need to consider risks posed by access to the training data and risks posed by the models that are released. The first problem c... Read More about Statistical disclosure controls for machine learning models.

State of the nation | Changing-wind-from-all-directions (2021)
Report
Griffiths, M., & Moyle, S. (2021). State of the nation | Changing-wind-from-all-directions. University Alliance

This thought piece explores eight current themes that will, over the coming twelve to eighteen months, continue to shape the business of Universities across the United Kingdom. Higher Education is truly at an intersection, that has undoubtedly been... Read More about State of the nation | Changing-wind-from-all-directions.

Estimation of the two-group pilot sample size with a cautionary note on Browne’s formula (2021)
Journal Article
Obodo, S., Toher, D., & White, P. (2021). Estimation of the two-group pilot sample size with a cautionary note on Browne’s formula. Journal of Applied Quantitative Methods, 16(3),

Using data obtained from a pilot study, Browne (1995) proposed a procedure for estimating the sample size needed for a definitive two-arm randomised controlled trial when the minimal important difference is specified. Simulations confirm these findi... Read More about Estimation of the two-group pilot sample size with a cautionary note on Browne’s formula.

Ordinal Logistic Regression as an alternative analysis strategy for the comparison of two independent samples (2021)
Journal Article
Bilski, B., Derrick, B., Toher, D., & White, P. (2021). Ordinal Logistic Regression as an alternative analysis strategy for the comparison of two independent samples. Journal of Applied Quantitative Methods, 16(3),

The two group between subjects design is pervasive with analyses often performed using the Mann Whitney Rank Sum test or using the Welch variant of the t-test. Using simulation it is shown that a dummy variable ordinal logistic regression (OLR) mode... Read More about Ordinal Logistic Regression as an alternative analysis strategy for the comparison of two independent samples.