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Preparing the future pharmacy workforce: competency-based undergraduate curricula for teaching, learning and assessment with a focus on antimicrobial stewardship. (2025)
Presentation / Conference Contribution
TIPPING, S., FLEMING, N., DAMANT, G., TONNA, A.P. and MARTIN, S., on behalf of NAPEG (National Antimicrobial Stewardship Pharmacy Education Group). 2024. Preparing the future pharmacy workforce: competency-based undergraduate curricula for teaching, learning and assessment with a focus on antimicrobial stewardship. Presented at the 2024 Infection: BSAC (British Society for Antimicrobial Chemotherapy) winter conference, 5 December 2024, London, UK: [virtual event].

Competency-based teaching, learning and assessment underpins the requirements for initial training and education of pharmacists (IETPs) in the UK as set by the General Pharmaceutical Council (GPhC). This competency-based pedagogic approach is conduci... Read More about Preparing the future pharmacy workforce: competency-based undergraduate curricula for teaching, learning and assessment with a focus on antimicrobial stewardship..

Analysis of UK repository platforms: who is using what and why? (2025)
Presentation / Conference Contribution
BRAY, G. 2025. Analysis of UK repository platforms: who is using what and why? Presented at the M25 Consortium of Academic Libraries cpd25 event: repositories: where are we now, where do we need to be?, 21 January 2025, [virtual event].

Primarily focusing on the UK Higher Education sector, the author aims to investigate the variety of repository platforms currently in use based on available data from UKCORR. Through an analysis of the data, the author attempts to determine whether t... Read More about Analysis of UK repository platforms: who is using what and why?.

Methods for data extraction and data transformation in convergent integrated mixed methods systematic reviews. (2025)
Journal Article
LIZARONDO, L., STERN, C., SALMOND, S., CARRIER, J., COOPER, K., GODFREY, C., VANDYK, M., POLLOCK, D., RIEGER, K., APOSTOLO, J., KIRKPATRICK, P., BORGES DOS SANTOS, K. and LOVEDAY, H. 2025. Methods for data extraction and data transformation in convergent integrated mixed methods systematic reviews. JBI evidence synthesis [online], 23(3), pages 429-440. Available from: https://doi.org/10.11124/JBIES-24-00331

The objective of this guidance paper is to describe data transformation involving qualitization, including when and how to undertake this process, and to clarify how it aligns with data extraction in order to expand on the current guidance for JBI co... Read More about Methods for data extraction and data transformation in convergent integrated mixed methods systematic reviews..

ChangeDA: depth-augmented multi-task network for remote sensing change detection via differential analysis. (2025)
Journal Article
MENG, J., XU, X., ZHANG, Z., LI, P., XIE, G., REN, J. and ZHENG, Y. 2025. ChangeDA: depth-augmented multi-task network for remote sensing change detection via differential analysis. IEEE Transactions on geoscience and remote sensing [online], 63, article number 5616119. Available from: https://doi.org/10.1109/TGRS.2025.3532468

In the field of Remote Sensing Change Detection (RSCD), accurately identifying significant changes between bitemporal images is essential for environmental monitoring, urban planning, and disaster assessment. In recent years, advancements in deep lea... Read More about ChangeDA: depth-augmented multi-task network for remote sensing change detection via differential analysis..

Kinetics during the tuck jump assessment and biomechanical deficits in female athletes 12 months after ACLR surgery. (2025)
Journal Article
KEMBER, L.S., RIEHM, C.D., SCHILLE, A., SLATON, J.A., OLIVER, J.L., MYER, G.D. and LLOYD, R.S. 2025. Kinetics during the tuck jump assessment and biomechanical deficits in female athletes 12 months after ACLR surgery. American journal of sports medicine [online], 53(2), pages 333-342. Available from: https://doi.org/10.1177/03635465241308579

Residual interlimb deficits after anterior cruciate ligament reconstruction (ACLR) can lead to functional maladaptation and increase the risk of reinjury. The tuck jump assessment (TJA) may offer a more effective evaluation of ACLR status as compared... Read More about Kinetics during the tuck jump assessment and biomechanical deficits in female athletes 12 months after ACLR surgery..

Towards the underwater internet of things for subsea oil and gas monitoring. (2025)
Journal Article
STEWART, C., AYAZ, B., FOUGH, N. and PRABHU, R. 2025. Towards the underwater internet of things for subsea oil and gas monitoring. Internet of things [online], 30, article number 101510. Available from: https://doi.org/10.1016/j.iot.2025.101510

The oil and gas industry (O&G) is at the forefront of significant social change as the world aligns itself with the 2050 Net Zero agenda. The Underwater Internet of Things (UIoT) will inevitably be part of this process across a broad range of applica... Read More about Towards the underwater internet of things for subsea oil and gas monitoring..

Collaborative Online International Learning (COIL) for sustainable development. [Dataset] (2025)
Data
ABOLLE-OKOYEAGU, J. and ONOSHAKPOR, C. 2025. Collaborative online international learning (COIL) for sustainable development. [Dataset]. Hosted on Mendeley Data [online], version 1. Available from: https://doi.org/10.17632/4wt9b5nkm9.1

This questionnaire aims to gather insights and experiences from students participating in a COIL project. The focus is on understanding cross-cultural collaboration, knowledge of sustainable building materials, and the impact of the project on partic... Read More about Collaborative Online International Learning (COIL) for sustainable development. [Dataset].

A multi-timescale estimator for state of energy and maximum available energy of lithium-ion batteries based on variable order online identification. (2025)
Journal Article
CHEN, L., WANG, S., CHEN, L., FERNANDEZ, C. and BLAABJERG, F. 2025. A multi-timescale estimator for state of energy and maximum available energy of lithium-ion batteries based on variable order online identification. Journal of energy storage [online], 110, article number 115350. Available from: https://doi.org/10.1016/j.est.2025.115350

The dynamic adjustment of the fractional orders for fractional-order models can improve the accuracy of modeling lithium-ion batteries, as a bridge between the state of energy (SOE) and the terminal voltage, the maximum available energy value will de... Read More about A multi-timescale estimator for state of energy and maximum available energy of lithium-ion batteries based on variable order online identification..

GASSM: global attention and state space model based end-to-end hyperspectral change detection. (2025)
Journal Article
LI, Y., REN, J., FU, H. and SUN, G. 2025. GASSM: global attention and state space model based end-to-end hyperspectral change detection. Journal of the Franklin Institute [online], 362(3), article number 107424. Available from: https://doi.org/10.1016/j.jfranklin.2024.107424

As an essential task to identify anomalies and monitor changes over time, change detection enables detailed earth observation in remote sensing. By combining both the rich spectral information and spatial image, hyperspectral images (HSI) have offere... Read More about GASSM: global attention and state space model based end-to-end hyperspectral change detection..

Stitching urban vision (SUV): psychogeographic and visual content analysis in co-creating collaborative capacity among children. [Case study] (2025)
Report
ZAMAN, Q.M. [2025]. Stitching urban vision (SUV): psychogeographic and visual content analysis in co-creating collaborative capacity among children. [Case study]. SAGE research methods. Thousand Oaks: SAGE [online]. (Forthcoming)

This case study explores the "Stitching Urban Vision" (SUV) method, which aims to help children develop negotiation skills with a view to achieving successful outcomes, rather than the delayed, unresolved or fragmented outcomes that can result from o... Read More about Stitching urban vision (SUV): psychogeographic and visual content analysis in co-creating collaborative capacity among children. [Case study].

Determining timeframes to death for imminently dying patients: a retrospective cohort study. (2025)
Journal Article
O'CONNOR, T., LIU, W.M., SAMARA, J., LEWIS, J., STRICKLAND, K. and PATERSON, C. 2025. Determining timeframes to death for imminently dying patients: a retrospective cohort study. BMC palliative care [online], 24, article number 12. Available from: https://doi.org/10.1186/s12904-024-01637-7

Clinicians are frequently asked 'how long' questions at end-of-life by patients and those important to them, yet predicting timeframes to death remains uncertain, even in the last weeks and days of life. Patients and families wish to know so they can... Read More about Determining timeframes to death for imminently dying patients: a retrospective cohort study..

β-alanine supplementation in adults with overweight and obesity: a randomized controlled feasibility trial. (2025)
Journal Article
MATTHEWS, J.J., CREIGHTON, J.V., DONALDSON, J., SWINTON, P.A., KYROU, I., BELLARY, S., IDRIS, I., SANTOS, L., TURNER, M.D., DOIG, C.L., ELLIOTT-SALE, K.J. and SALE, C. 2025. β-alanine supplementation in adults with overweight and obesity: a randomized controlled feasibility trial. Obesity [online], 33(2), pages 278-288. Available from: https://doi.org/10.1002/oby.24204

Overweight and obesity are characterised by excess adiposity and systemic, chronic, low-grade inflammation, which is associated with several metabolic disorders. The aim was to assess the feasibility and tolerability of β-alanine supplementation, and... Read More about β-alanine supplementation in adults with overweight and obesity: a randomized controlled feasibility trial..

Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. [Dataset] (2025)
Data
AMINAHO, E.N., AMINAHO, N.S., HOSSAIN, M., FAISAL, N.H. and AMINAHO, K.A. 2025. Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. [Dataset]. Gas science and engineering [online], 134, article number 205546. Available from: https://doi.org/10.1016/j.jgsce.2025.205546

This study proposed a new sensor calibration methodology and the design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams. Furthermore, machine learning models were developed in this study to explore... Read More about Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. [Dataset].

Understanding the barriers to purchasing healthier, more environmentally sustainable food for people living with obesity and varying experiences of food insecurity in the UK. (2025)
Journal Article
STONE, R.A., CHRISTIANSEN, P., JOHNSTONE, A.M., BROWN, A., DOUGLAS, F., HARDMAN, C.A., on behalf of the FIO-Food Team. 2025. Understanding the barriers to purchasing healthier, more environmentally sustainable food for people living with obesity and varying experiences of food insecurity in the UK. Food policy [online], 131, article 102798. Available from: https://doi.org/10.1016/j.foodpol.2025.102798

In westernised countries, food insecurity (FI) is robustly associated with low diet quality, and obesity. Grocery stores are one promising arena for interventions to facilitate purchasing of healthier, more environmentally sustainable food. However,... Read More about Understanding the barriers to purchasing healthier, more environmentally sustainable food for people living with obesity and varying experiences of food insecurity in the UK..

Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. (2025)
Journal Article
AMINAHO, E.N., AMINAHO, N.S., HOSSAIN, M., FAISAL, N.H. and AMINAHO, K.A. 2025. Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage. Gas science and engineering [online], 134, article number 205546. Available from: https://doi.org/10.1016/j.jgsce.2025.205546

The concentration of gases in gas streams can be monitored using sensors. However, gas sensors can lose their response accuracy due to mechanical wear or damage, and environmental factors such as exposure to unusual temperature and pressure condition... Read More about Design of a hybrid artificial intelligence system for real-time quantification of impurities in gas streams: application in CO2 capture and storage..

Design and optimal sizing of a hydrogen uninterruptable power supply (UPS) system for addressing residential power cutoffs. (2025)
Journal Article
ALI, D., STEWART, C., QADIR, K. and JALISI, I. 2025. Design and optimal sizing of a hydrogen uninterruptable power supply (UPS) system for addressing residential power cutoffs. Hydrogen [online], 6(1), article number 3. Available from: https://doi.org/10.3390/hydrogen6010003

Hydrogen (H2) offers a green medium for storing the excess from renewables production instead of dumping it, thus being crucial to decarbonisation efforts. Hydrogen also offers a storage medium for the grid's cheap electricity to be used during grid... Read More about Design and optimal sizing of a hydrogen uninterruptable power supply (UPS) system for addressing residential power cutoffs..

Digital twin framework using real-time asset tracking for smart flexible manufacturing system. (2025)
Journal Article
ULLAH, A., YOUNAS, M. and SAHARUDIN, M.S. 2025. Digital twin framework using real-time asset tracking for smart flexible manufacturing system. Machines [online], 13(1), article 37. Available from: https://doi.org/10.3390/machines13010037

This research article proposes a new method for an enhanced Flexible Manufacturing System (FMS) using a combination of smart methods. These methods use a set of three technologies of Industry 4.0, namely Artificial Intelligence (AI), Digital Twin (DT... Read More about Digital twin framework using real-time asset tracking for smart flexible manufacturing system..

Investigating wire electric-discharge machining (WEDM) parameters for improved machining of D2 steel: a multi-objective optimization study. (2025)
Journal Article
AFRIDI, S.A., YOUNAS, M., KHAN, Z. and KHAN, A.M. 2025. Investigating wire electric-discharge machining (WEDM) parameters for improved machining of D2 steel: a multi-objective optimization study. International journal of precision engineering and manufacturing [online], 26(4), pages 817-835. Available from: https://doi.org/10.1007/s12541-024-01203-4

Wire Electric-Discharge Machining (WEDM) represents a non-traditional approach to metal cutting, providing the advantage of precision manufacturing over conventional methods. In recent years, the metal machining industry has witnessed numerous benefi... Read More about Investigating wire electric-discharge machining (WEDM) parameters for improved machining of D2 steel: a multi-objective optimization study..

Progression of the faecal microbiome in preweaning dairy calves that develop cryptosporidiosis. [Dataset] (2025)
Data
HARES, M.F., GRIFFITHS, B.E., BARNINGHAM, L., VAMOS, E.E., GREGORY, R., DUNCAN, J.S., OIKONOMOU, G., STEWART, C.J. and COOMBES, J.L. 2025. Progression of the faecal microbiome in preweaning dairy calves that develop cryptosporidiosis. [DATASET]. Animal microbiome [online], 7, article number 3. Available from: https://animalmicrobiome.biomedcentral.com/articles/10.1186/s42523-024-00352-1#Sec19

The aim of this study was to determine how the bacterial diversity and composition of the faecal microbiome in healthy and Cryptosporidium-positive calves changed between birth and weaning. The objective was to ascertain taxa which are associated wit... Read More about Progression of the faecal microbiome in preweaning dairy calves that develop cryptosporidiosis. [Dataset].

Progression of the faecal microbiome in preweaning dairy calves that develop cryptosporidiosis. (2025)
Journal Article
HARES, M.F., GRIFFITHS, B.E., BARNINGHAM, L., VAMOS, E.E., GREGORY, R., DUNCAN, J.S., OIKONOMOU, G., STEWART, C.J. and COOMBES, J.L. 2025. Progression of the faecal microbiome in preweaning dairy calves that develop cryptosporidiosis. Animal microbiome [online], 7, article number 3. Available from: https://doi.org/10.1186/s42523-024-00352-1

Cryptosporidiosis is a diarrheal disease that commonly affects calves under 6 weeks old. The causative agent, Cryptosporidium parvum, has been associated with the abundance of specific taxa in the faecal microbiome during active infection. However, t... Read More about Progression of the faecal microbiome in preweaning dairy calves that develop cryptosporidiosis..