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Geohistorical insights into marine functional connectivity (2024)
Journal Article
Agiadi, K., Caswell, B. A., Almeida, R., Becheker, A., Blanco, A., Brito, C., León-Cobo, M. J., Cook, E. M. E., Costantini, F., Karakuş, M., Leprieur, F., López, C., López-López, L., Dea, A. O., Pallacks, S., Rabanal, I., Schultz, L., Tanner, S. E., Theodoropoulou, T., Thurstan, R. H., …Darnaude, A. M. (2024). Geohistorical insights into marine functional connectivity. ICES journal of marine science : journal du conseil, 81(10), 1884-1911. https://doi.org/10.1093/icesjms/fsae117

Marine functional connectivity (MFC) refers to the flows of organic matter, genes, and energy that are caused by the active and passive movements of marine organisms. Occurring at various temporal and spatial scales, MFC is a dynamic, constantly evol... Read More about Geohistorical insights into marine functional connectivity.

Better End of Life 2024. Time to care: Findings from a nationally representative survey of experiences at the end of life in England and Wales (2024)
Report
Johansson, T., Pask, S., Goodrich, J., Budd, L., Okamoto, I., Kumar, R., Laidlaw, L., Ghiglieri, C., Woodhead, A., Chambers, R. L., Davies, J., Bone, A. E., Higginson, I. J., Barclay, S., Murtagh, F. E. M., & Sleeman, K. E. (2024). Better End of Life 2024. Time to care: Findings from a nationally representative survey of experiences at the end of life in England and Wales. Marie Curie

Foreword
This is a critical time for action to improve palliative and end of life care.

The findings from this nationally representative survey in England and Wales demonstrate the extent to which people are dying without access to the services... Read More about Better End of Life 2024. Time to care: Findings from a nationally representative survey of experiences at the end of life in England and Wales.

Research priorities for progressive pulmonary fibrosis in the UK (2024)
Journal Article
Fabbri, L., Russell, A. M., Chaudhuri, N., Adams, W., Cowan, K., Conway, J., Dickinson, W., Gibbons, M., Hart, S., Jones, S., Lynch-Wilson, J., McMillan, T., Milward, S., Ward, M., Wright, L. E., & Jenkins, G. (2024). Research priorities for progressive pulmonary fibrosis in the UK. BMJ Open Respiratory Research, 11(1), Article e002368. https://doi.org/10.1136/bmjresp-2024-002368

INTRODUCTION: Health research bodies recommend patient involvement and engagement in research and healthcare planning, although their implementation is not yet widespread. This deficiency extends to progressive pulmonary fibrosis (PPF), where crucial... Read More about Research priorities for progressive pulmonary fibrosis in the UK.

Exploring the dynamic evolution of lattice oxygen on exsolved-Mn2O3@SmMn2O5 interfaces for NO Oxidation (2024)
Journal Article
Wang, X., Yang, Q., Li, X., Li, Z., Gao, C., Zhang, H., Chu, X., Redshaw, C., Shi, S., Wu, Y. A., Ma, Y., Peng, Y., Li, J., & Feng, S. (2024). Exploring the dynamic evolution of lattice oxygen on exsolved-Mn2O3@SmMn2O5 interfaces for NO Oxidation. Nature communications, 15(1), Article 7613. https://doi.org/10.1038/s41467-024-51473-9

Lattice oxygen in metal oxides plays an important role in the reaction of diesel oxidation catalysts, but the atomic-level understanding of structural evolution during the catalytic process remains elusive. Here, we develop a Mn2O3/SmMn2O5 catalyst u... Read More about Exploring the dynamic evolution of lattice oxygen on exsolved-Mn2O3@SmMn2O5 interfaces for NO Oxidation.

Developing University Students’ Assessment Literacy: Theory and Practice (2024)
Journal Article
Holmes, A. (2024). Developing University Students’ Assessment Literacy: Theory and Practice. Innovare Journal of Education, 2(5), 26-31. https://doi.org/10.22159/ijoe.2024v12i5.52282

Assessment literacy skills are increasingly recognized as being important for student success in higher education. However, as a field of study, it is not well-researched except in the context of language assessment. This paper delves into critical t... Read More about Developing University Students’ Assessment Literacy: Theory and Practice.

Decoding the impact of the placebo response in clinical trials for chronic cough (2024)
Journal Article
Zhang, M., Zhang, B., & Morice, A. H. (2024). Decoding the impact of the placebo response in clinical trials for chronic cough. ERJ Open Research, 10(5), Article 00335-2024. https://doi.org/10.1183/23120541.00335-2024

Chronic cough is a prevalent and challenging condition, with limited treatment options available. The interpretation of clinical trial results for antitussive drugs is complicated by the presence of the placebo response, which can confound outcomes a... Read More about Decoding the impact of the placebo response in clinical trials for chronic cough.

Automated Machine Learning and Asset Pricing (2024)
Journal Article
Healy, J. V., Gregoriou, A., & Hudson, R. (2024). Automated Machine Learning and Asset Pricing. Risks, 12(9), Article 148. https://doi.org/10.3390/risks12090148

We evaluate whether machine learning methods can better model excess portfolio returns compared to the standard regression-based strategies generally used in the finance and econometric literature. We examine 17 benchmark factor model specifications... Read More about Automated Machine Learning and Asset Pricing.

Improving hospice delirium guideline adoption through an understanding of barriers and facilitators: A mixed-methods study (2024)
Journal Article
Jackson, C., Malia, C., Zacharias, H., Dyson, J., & Johnson, M. J. (2024). Improving hospice delirium guideline adoption through an understanding of barriers and facilitators: A mixed-methods study. PLoS ONE, 19(9), Article e0310704. https://doi.org/10.1371/journal.pone.0310704

Objectives This study seeks to understand and address barriers to practitioners’ optimal assessment and management of people with delirium in hospices. Methods Retrospective clinical record review to identify areas of low concordance with guideline-a... Read More about Improving hospice delirium guideline adoption through an understanding of barriers and facilitators: A mixed-methods study.

An in vitro multi-organ microphysiological system (MPS) to investigate the gut-to-brain translocation of neurotoxins (2024)
Journal Article
Jones, E. J., Skinner, B. M., Parker, A., Baldwin, L. R., Greenman, J., Carding, S. R., & Funnell, S. G. (2024). An in vitro multi-organ microphysiological system (MPS) to investigate the gut-to-brain translocation of neurotoxins. Biomicrofluidics, 18(5), Article 054105. https://doi.org/10.1063/5.0200459

The death of dopamine-producing neurons in the substantia nigra in the base of the brain is a defining pathological feature in the development of Parkinson's disease (PD). PD is, however, a multi-systemic disease, also affecting the peripheral nervou... Read More about An in vitro multi-organ microphysiological system (MPS) to investigate the gut-to-brain translocation of neurotoxins.

Rapid Access Diagnostics for Asthma (RADicA): protocol for a prospective cohort study to determine the optimum series of investigations to diagnose asthma using conventional and novel tests (2024)
Journal Article
Murray, C. S., Fowler, S., Drake, S., Wang, R., Durrington, H. J., Wardman, H., Healy, L., Bennett, M., Simpson, A., Barrett, E., Roberts, S. A., & Simpson, A. (2024). Rapid Access Diagnostics for Asthma (RADicA): protocol for a prospective cohort study to determine the optimum series of investigations to diagnose asthma using conventional and novel tests. BMJ open, 14(10), Article e083908. https://doi.org/10.1136/bmjopen-2024-083908

INTRODUCTION: The diagnosis of asthma is often based on characteristic patterns of symptoms in the absence of an alternative explanation, resulting in over and under diagnosis. Therefore, diagnostic guidelines usually recommend including confirmation... Read More about Rapid Access Diagnostics for Asthma (RADicA): protocol for a prospective cohort study to determine the optimum series of investigations to diagnose asthma using conventional and novel tests.

The association between frailty, care receipt and unmet need for care with the risk of hospital admissions (2024)
Journal Article
Maharani, A., Sinclair, D. R., Clegg, A., Hanratty, B., Nazroo, J., Tampubolon, G., Todd, C., Wittenberg, R., O’Neill, T. W., & Matthews, F. E. (2024). The association between frailty, care receipt and unmet need for care with the risk of hospital admissions. PLoS ONE, 19(9), Article e0306858. https://doi.org/10.1371/journal.pone.0306858

Background Frailty is characterised by a decline in physical, cognitive, energy, and health reserves and is linked to greater functional dependency and higher social care utilisation. However, the relationship between receiving care, or receiving ins... Read More about The association between frailty, care receipt and unmet need for care with the risk of hospital admissions.

Towards the conservation of the crucian carp in Europe: Prolific hybridization but no evidence for introgression between native and non-native taxa (2024)
Journal Article
Jeffries, D., Lawson-Handley, L., Lamatsch, D., Olsén, K. H., Sayer, C. D., & Hänfling, B. (2024). Towards the conservation of the crucian carp in Europe: Prolific hybridization but no evidence for introgression between native and non-native taxa. Molecular ecology, 33(19), Article e17515. https://doi.org/10.1111/mec.17515

Hybridization plays a pivotal role in evolution, influencing local adaptation and speciation. However, it can also reduce biodiversity, which is especially damaging when native and non-native species meet. Hybridization can threaten native species vi... Read More about Towards the conservation of the crucian carp in Europe: Prolific hybridization but no evidence for introgression between native and non-native taxa.

Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance (2024)
Presentation / Conference Contribution
Kureshi, R. R., Mazumdar, S., Mishra, B. K., Li, X., & Thakker, D. (2023, December). Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance. Presented at 4th International Conference on Distributed Sensing and Intelligent Systems (ICDSIS 2023), Dubai, UAE

The detrimental effects of air pollutants on human health have prompted increasing concerns regarding indoor air quality (IAQ). The emergence of digital health interventions and citizen science initiatives has provided new avenues for raising awarene... Read More about Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance.

Measuring AI Fairness in a Continuum Maintaining Nuances: A Robustness Case Study (2024)
Journal Article
Paxton, K., Aslansefat, K., Thakker, D., & Papadopoulos, Y. (2024). Measuring AI Fairness in a Continuum Maintaining Nuances: A Robustness Case Study. IEEE Internet Computing, 28(5), 11-19. https://doi.org/10.1109/MIC.2024.3450815

As machine learning is increasingly making decisions about hiring or healthcare, we want AI to treat ethnic and socioeconomic groups fairly. Fairness is currently measured by comparing the average accuracy of reasoning across groups. We argue that im... Read More about Measuring AI Fairness in a Continuum Maintaining Nuances: A Robustness Case Study.

Deep Learning-Based Colorectal Cancer Image Segmentation and Classification: A Concise Bibliometric Analysis (2024)
Presentation / Conference Contribution
Fagbola, T. M., Aderemi, E. T., & Thakur, C. S. (2024, August). Deep Learning-Based Colorectal Cancer Image Segmentation and Classification: A Concise Bibliometric Analysis. Presented at 7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), Mauritius

The use of Deep Learning (DL)-based methods for Colorectal Cancer (CRC) classification and segmentation has gained significant attention in recent times. This study employs a bibliometric analysis to investigate the state-of-The-art research on DL-ba... Read More about Deep Learning-Based Colorectal Cancer Image Segmentation and Classification: A Concise Bibliometric Analysis.

DeepCAI-V3: Improved Brain Tumor Classification from Noisy Brain MR Images using Convolutional Autoencoder and Inception-V3 Architecture (2024)
Presentation / Conference Contribution
Babaferi, E. V., Fagbola, T. M., & Thakur, C. S. (2024, August). DeepCAI-V3: Improved Brain Tumor Classification from Noisy Brain MR Images using Convolutional Autoencoder and Inception-V3 Architecture. Presented at 7th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Mauritius

Brain tumors are abnormal cell growths within the brain tissues, necessitating their early detection towards effective treatment. To achieve this, high-quality brain images via medical imaging techniques, such as Magnetic Resonance Imaging (MRI), are... Read More about DeepCAI-V3: Improved Brain Tumor Classification from Noisy Brain MR Images using Convolutional Autoencoder and Inception-V3 Architecture.

Addressing hidden tensions and grey areas of general practice: A qualitative study of the experiences of newly qualified GPs attending a course on generalist medicine (2024)
Journal Article
Reeve, J., & Dell Olio, M. (in press). Addressing hidden tensions and grey areas of general practice: A qualitative study of the experiences of newly qualified GPs attending a course on generalist medicine. BJGP Open, 74(746), e637-e643. https://doi.org/10.3399/BJGP.2023.0514

Background
Generalist approaches can help address several challenges facing today’s primary care. However, GPs report insufficient support to deliver advanced generalist medicine (AGM) in daily practice, struggling within a healthcare system that im... Read More about Addressing hidden tensions and grey areas of general practice: A qualitative study of the experiences of newly qualified GPs attending a course on generalist medicine.