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Improving Rice Yield Prediction Accuracy Using Regression Models with Climate Data (2024)
Journal Article
Mohamad Mohsin, M. F., Umana, M. K., Hassan, M. G., Sharif, K. I. M., Ismail, M. A., Salleh, K., …Gordon, N. (2024). Improving Rice Yield Prediction Accuracy Using Regression Models with Climate Data. Communications in Computer and Information Science, 2002 CCIS, 258-267. https://doi.org/10.1007/978-981-99-9592-9_20

Rice production is critical to food security, and accurate yield predictions are required for planning and decision-making. However, precisely predicting rice yields using machine learning models can be difficult due to the complicated interactions o... Read More about Improving Rice Yield Prediction Accuracy Using Regression Models with Climate Data.

Numerical Analysis on Conceptual Feasibility of Hybrid Windcatcher and Turbine Roof Ventilator for Optimum IEQ and Wind Power Harvesting (2024)
Journal Article
Mohd Nasir, D., Hughes, B. R., & Ibrahim, A. (2024). Numerical Analysis on Conceptual Feasibility of Hybrid Windcatcher and Turbine Roof Ventilator for Optimum IEQ and Wind Power Harvesting. Energy Proceedings, 43, https://doi.org/10.46855/energy-proceedings-11026

This paper introduces "SmartTURVENT," a hybrid windcatcher and turbine roof ventilator system with triple benefits: enhancing indoor environmental quality (IEQ), harnessing renewable energy, and reducing carbon emissions. Utilising a transient state... Read More about Numerical Analysis on Conceptual Feasibility of Hybrid Windcatcher and Turbine Roof Ventilator for Optimum IEQ and Wind Power Harvesting.

Molecular Analysis at Relapse of Patients Treated on the Ibrutinib and Rituximab Arm of the National Multi-Centre Phase III FLAIR Study in Previously Untreated CLL Patients (2023)
Journal Article
Sarma, A., Evans, C., Dalal, S., Webster, N., Rawstron, A., Shingles, J., …Hillmen, P. (2023). Molecular Analysis at Relapse of Patients Treated on the Ibrutinib and Rituximab Arm of the National Multi-Centre Phase III FLAIR Study in Previously Untreated CLL Patients. Blood, 142(Supplement 1), 4636-4636. https://doi.org/10.1182/blood-2023-188597

Using Peripheral Blood (PB) Measurable Residual Disease (MRD) Levels to Predict <0.01% Bone Marrow Disease (BM uMRD4): Identification of Effective PB Targets for CLL Treatment Cessation in the Ibrutinib+Venetoclax Arm of the FLAIR Trial (2023)
Journal Article
Rawstron, A., Webster, N., Dalal, S., de Tute, R. M., Bell, S., Cairns, D. A., …Hillmen, P. (2023). Using Peripheral Blood (PB) Measurable Residual Disease (MRD) Levels to Predict <0.01% Bone Marrow Disease (BM uMRD4): Identification of Effective PB Targets for CLL Treatment Cessation in the Ibrutinib+Venetoclax Arm of the FLAIR Trial. Blood, 142(Supplement 1), 632-632. https://doi.org/10.1182/blood-2023-187943

Ibrutinib Plus Venetoclax with MRD-Directed Duration of Treatment Is Superior to FCR and Is a New Standard of Care for Previously Untreated CLL: Report of the Phase III UK NCRI FLAIR Study (2023)
Journal Article
Hillmen, P., Cairns, D. A., Bloor, A. J. C., Allsup, D., Cwynarski, K., Pettitt, A., …Munir, T. (2023). Ibrutinib Plus Venetoclax with MRD-Directed Duration of Treatment Is Superior to FCR and Is a New Standard of Care for Previously Untreated CLL: Report of the Phase III UK NCRI FLAIR Study. Blood, 142(Supplement 1), 631. https://doi.org/10.1182/blood-2023-178298

Introduction: Ibrutinib (I), an irreversible Btk inhibitor, and venetoclax (V), a Bcl-2 inhibitor, improve CLL outcomes in trials compared to chemoimmunotherapy. I and V target two key pathophysiological pathways in CLL and should be synergistic. Thi... Read More about Ibrutinib Plus Venetoclax with MRD-Directed Duration of Treatment Is Superior to FCR and Is a New Standard of Care for Previously Untreated CLL: Report of the Phase III UK NCRI FLAIR Study.

A Portable Multi-user Cross-Platform Virtual Reality Platform for School Teaching in Malawi (2023)
Journal Article
Kambili-Mzembe, F., & Gordon, N. A. (2023). A Portable Multi-user Cross-Platform Virtual Reality Platform for School Teaching in Malawi. Communications in Computer and Information Science, 1904 CCIS, 182-192. https://doi.org/10.1007/978-3-031-47328-9_14

This paper discusses and evaluates a self-contained portable multi-user cross-platform Virtual Reality (VR) setup that was devised and configured using off the shelf technologies and devices. This paper exemplifies how some fundamental challenges lik... Read More about A Portable Multi-user Cross-Platform Virtual Reality Platform for School Teaching in Malawi.

A manifesto for the metaverse: opportunities and challenges for learning development (2023)
Journal Article
Buckley, C., Holley, D., & Fallin, L. (2023). A manifesto for the metaverse: opportunities and challenges for learning development. Journal of Learning Development in Higher Education, https://doi.org/10.47408/jldhe.vi29.1127

Drawing upon a section of the co-created learning development (LD) Manifesto (ALDinHE, 2018), in this workshop we invite participants to come and be creative-and imagine beyond what learning developers do now into what they may do in the future, insp... Read More about A manifesto for the metaverse: opportunities and challenges for learning development.

High-intensity interval training in patients with intermittent claudication (2023)
Journal Article
Pymer, S., Harwood, A. E., Prosser, J., Waddell, A., Rhavindhran, B., McGregor, G., …Chetter, I. C. (2023). High-intensity interval training in patients with intermittent claudication. Journal of vascular surgery, 78(4), 1048-1056.e4. https://doi.org/10.1016/j.jvs.2023.05.045

Objective: Provision, uptake, adherence, and completion rates for supervised exercise programs (SEP) for intermittent claudication (IC) are low. A shorter, more time-efficient, 6-week, high-intensity interval training (HIIT) program may be an effecti... Read More about High-intensity interval training in patients with intermittent claudication.

A preoperative supervised exercise program potentially improves long-term survival after elective abdominal aortic aneurysm repair (2023)
Journal Article
Sethi, S., Ravindhran, B., Long, J., Gurung, R., Huang, C., Smith, G. E., …Pymer, S. (2024). A preoperative supervised exercise program potentially improves long-term survival after elective abdominal aortic aneurysm repair. Journal of vascular surgery, 79(1), 15-23. https://doi.org/10.1016/j.jvs.2023.09.004

Objective: A preoperative supervised exercise program (SEP) improves cardiorespiratory fitness and perioperative outcomes for patients undergoing elective abdominal aortic aneurysm (AAA) repair. The aim of this study was to assess the effect of a pre... Read More about A preoperative supervised exercise program potentially improves long-term survival after elective abdominal aortic aneurysm repair.

Understanding primary care diagnosis and management of sleep disturbance for people with dementia or mild cognitive impairment: a realist review (2023)
Journal Article
Blake, J., Aryankhesal, A., Allan, L., Ballard, C., Briscoe, S., Broomfield, N., …Fox, C. (2023). Understanding primary care diagnosis and management of sleep disturbance for people with dementia or mild cognitive impairment: a realist review. The British journal of general practice : the journal of the Royal College of General Practitioners, 73(suppl 1), Article bjgp23X734169. https://doi.org/10.3399/bjgp23x734169

Background Sleep disturbance (SD) is common among people living with dementia (PLwD) or mild cognitive impairment (MCI). It has a significant impact on the wellbeing of PLwD and caregivers, and makes care at home more difficult. Within primary care,... Read More about Understanding primary care diagnosis and management of sleep disturbance for people with dementia or mild cognitive impairment: a realist review.

Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection (2023)
Journal Article
Burton, H., Bouillard, J. S., & Kemp, N. (in press). Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection. IEEE International Symposium on Circuits and Systems, 2023, 1-5. https://doi.org/10.1109/ISCAS46773.2023.10181552

The UK offshore wind industry is rapidly growing to meet CO2 emission targets. However, the main drawback of the offshore environment is the increased cost of maintenance. Artificial Neural Networks (ANN) show great potential to reduce this cost. Lon... Read More about Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection.

Why the Educational Metaverse Is Not All About Virtual Reality Apps (2023)
Journal Article
Gordon, N., Brayshaw, M., Kambili-Mzembe, F., & Al Jaber, T. (2023). Why the Educational Metaverse Is Not All About Virtual Reality Apps. Lecture notes in computer science, 14041 LNCS, 22-32. https://doi.org/10.1007/978-3-031-34550-0_2

This paper explores how the Metaverse can be used in the context of learning and collaboration. In it we seek to dispel the story that the Metaverse is just another synonym for Virtual Reality and future technology. Instead we will argue that the Met... Read More about Why the Educational Metaverse Is Not All About Virtual Reality Apps.

Designing for diverse learners (2022)
Journal Article
Fallin, L., & Tomlinson, T. (2022). Designing for diverse learners. Journal of Learning Development in Higher Education, 25, https://doi.org/10.47408/jldhe.vi25.973

Learning and teaching are only sustainable if accessible and inclusive. For this reason, we produced the Designing for diverse learners poster, a set of easy to follow guidance on developing learning resources to support learners with a variety of ne... Read More about Designing for diverse learners.

Evaluating interventions for violence prevention using linked MoJ-DfE data: a feasibility study. (2022)
Journal Article
Cornish, R., Tilling, K., & Brennan, I. (2022). Evaluating interventions for violence prevention using linked MoJ-DfE data: a feasibility study. International Journal of Population Data Science, 7(3), Article 105. https://doi.org/10.23889/ijpds.v7i3.1877

Objective To assess the feasibility of using linked education and offending data (from the National Pupil Database, Department for Education and the Police National Computer, Ministry of Justice) to identify matched control groups to evaluate violen... Read More about Evaluating interventions for violence prevention using linked MoJ-DfE data: a feasibility study..

Internet Crime Enabling: Stalking and Cyberstalking (2022)
Journal Article
Cohen-Almagor, R., & Trottier, D. (2022). Internet Crime Enabling: Stalking and Cyberstalking. Lecture Notes in Networks and Systems, 439 LNNS, 843-859. https://doi.org/10.1007/978-3-030-98015-3_57

Cyberstalking is practiced by Internet abusers to harass, victimize and to mock peers, teachers, co-workers, neighbors and others. While typically framed as an individual pursuit, we suggest that it can best be understood as a collective process, bot... Read More about Internet Crime Enabling: Stalking and Cyberstalking.

Liner Ship Freight Revenue and Fleet Deployment for Single Service (2021)
Journal Article
Mandal, J., Goswami, A., Mishra, N., & Tiwari, M. K. (2021). Liner Ship Freight Revenue and Fleet Deployment for Single Service. IFIP Advances in Information and Communication Technology, 631, 123-131. https://doi.org/10.1007/978-3-030-85902-2_14

For single-liner ship service, this study optimizes containerized cargo revenue minus ship operating costs. The decisions to optimize the ship fleet and shipment plan are included in this proposed model. This optimization problem is formulated as a m... Read More about Liner Ship Freight Revenue and Fleet Deployment for Single Service.

Taboo Or Not Taboo: (In)visibilities Of Death, Dying And Bereavement (2020)
Journal Article
Hård Af Segerstad, Y., Bell, J., Giaxoglou, K., Pitsillides, S., & Yeshua-Katz, D. (2020). Taboo Or Not Taboo: (In)visibilities Of Death, Dying And Bereavement. Selected Papers of Internet Research, Article 11125. https://doi.org/10.5210/spir.v2020i0.11125

The notion that ‘death is a taboo’ pervades private, public and academic discourses around death, dying and bereavement in contemporary Western societies. The rise of digital media within the last decades further complicates the appreciation of the s... Read More about Taboo Or Not Taboo: (In)visibilities Of Death, Dying And Bereavement.

Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI (2020)
Journal Article
Chatterjee, J., & Dethlefs, N. (2020). Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI. Journal of Physics: Conference Series, 1618(2), Article 022022. https://doi.org/10.1088/1742-6596/1618/2/022022

© 2020 Published under licence by IOP Publishing Ltd. Machine learning techniques have been widely used for condition-based monitoring of wind turbines using Supervisory Control & Acquisition (SCADA) data. However, many machine learning models, inclu... Read More about Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI.

SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures (2020)
Journal Article
Aslansefat, K., Sorokos, I., Whiting, D., Tavakoli Kolagari, R., & Papadopoulos, Y. (2020). SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures. Lecture notes in computer science, 12297, 197-211. https://doi.org/10.1007/978-3-030-58920-2_13

Ensuring safety and explainability of machine learning (ML) is a topic of increasing relevance as data-driven applications venture into safety-critical application domains, traditionally committed to high safety standards that are not satisfied with... Read More about SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures.