All Outputs (633)

Investigating AI-driven assessment tools in engineering education: enhancing personalized learning for Industry 4.0 competencies. (2024)
Presentation / Conference Contribution
ABOLLE-OKOYEAGU, C.J., MAHON, R., OKPU, A. and FERNANDO, W. 2024. Investigating AI-driven assessment tools in engineering education: enhancing personalized learning for Industry 4.0 competencies. In Abstract book of the proceedings of the 6th Global conference on education and teaching 2024 (GLOBALET 2024), 25-27 October 2024, Nice, France. Vilnius, Lithuania: Diamond Scientific Publishing [online], abstract number 30-4124. Available from: https://www.dpublication.com/wp-content/uploads/2024/10/30-4124.pdf

With Industry 4.0 constantly improving the industrial landscape, engineering education is subsequently fraught with the immediate challenge of ensuring synchrony between the ever-changing needs of automation, smart manufacturing as well as digital tr... Read More about Investigating AI-driven assessment tools in engineering education: enhancing personalized learning for Industry 4.0 competencies..

Investigating the role of diversity and inclusion in STEM education in the UK. (2024)
Presentation / Conference Contribution
ABOLLE-OKOYEAGU, C.J., ONOSHAKPOR, C., AKERELE, E. and OKPU, A. 2024. Investigating the role of diversity and inclusion in STEM education in the UK. In Abstract book of proceedings of the 6th Global conference on education and teaching 2024 (GLOBALET 2024), 25-27 October 2024, Nice, France. Vilnius, Lithuania: Diamond Scientific Publishing [online], abstract number 19-4078. Available from: https://www.dpublication.com/wp-content/uploads/2024/10/19-4078.pdf

Equality Diversity and Inclusion (EDI) is a very important driver in progressing the ever-evolving fields of Science, Technology, Engineering, and Mathematics (STEM). This aspect of EDI has become increasingly prominent in the professional societies... Read More about Investigating the role of diversity and inclusion in STEM education in the UK..

Multi-temperature capable enhanced bidirectional long short term memory-multilayer perceptron hybrid model for lithium-ion battery SOC estimation. (2024)
Journal Article
ZHOU, Y., WANG, S., FENG, R., XIE, Y. and FERNANDEZ, C. 2024. Multi-temperature capable enhanced bidirectional long short term memory-multilayer perceptron hybrid model for lithium-ion battery SOC estimation. Energy [online], 312, article number 133596. Available from: https://doi.org/10.1016/j.energy.2024.133596

In this study, we propose a novel hybrid modeling framework for State of Charge (SOC) estimation across a broad temperature spectrum. First, we build a hybrid model to optimize stacked layers of stacked bidirectional long short term memory networks b... Read More about Multi-temperature capable enhanced bidirectional long short term memory-multilayer perceptron hybrid model for lithium-ion battery SOC estimation..

No backstage: the relentless emotional management of acute nursing through the COVID-19 pandemic. (2024)
Journal Article
GRANT, A., O'BRIEN, R., DOUGLAS, F., KENNEDY, C., BALDIE, D. and TORRANCE, N. [2024]. No backstage: the relentless emotional management of acute nursing through the COVID-19 pandemic. Journal of advanced nursing [online], Early View. Available from: https://doi.org/10.1111/jan.16563

To explore the impact of the Covid-19 pandemic on nurse's wellbeing, experiences of delivering healthcare within acute settings, and their emotional management. Sequential mixed methods was used. February to July 2021 an online wellbeing survey was d... Read More about No backstage: the relentless emotional management of acute nursing through the COVID-19 pandemic..

Four years in, what are the research priorities for Long COVID? A research priority setting partnership between people with lived experience, carers, clinicians, and researchers. (2024)
Journal Article
GRANT, A., STAGE, E., BLANE, D., GOSS, H., ORMEROD, J., MCIVER, S., DUNCAN, E., PATEL, G., CAMPBELL, A., MANSON, P., SUBRAMANIAN, G. and COOPER, K. 2024. Four years in, what are the research priorities for Long COVID? A research priority‐setting partnership between people with lived experience, carers, clinicians and researchers. Health expectations [online], 27(5), article number e70072. Available from: https://doi.org/10.1111/hex.70072

Long COVID is a life limiting condition which affects 65 million people worldwide. It devastates lives with uncertain illness trajectories, yet there are many research uncertainties as there is a lack of understanding of its causes, effective treatme... Read More about Four years in, what are the research priorities for Long COVID? A research priority setting partnership between people with lived experience, carers, clinicians, and researchers..

Impact of COVID-19 on air quality in major cities of Bangladesh: a temporal analysis (2018–2023). (2024)
Journal Article
RAHMAN, S., AHMED, M.M., HOPKE, P.K., et al. [2024]. Impact of COVID-19 on air quality in major cities of Bangladesh: a temporal analysis (2018–2023). Earth systems and environment [online], Latest Articles. Available from: https://doi.org/10.1007/s41748-024-00506-w

Bangladesh is among the countries with the highest concentrations of particulate matter and other air pollutants according to the World Health Organization. The Department of Environment of Bangladesh has installed air monitoring systems in Dhaka, Ch... Read More about Impact of COVID-19 on air quality in major cities of Bangladesh: a temporal analysis (2018–2023)..

Terminalia ivorensis demonstrates antioxidant properties and alters proliferation, genomic instability and migration of human colon cancer cells in vitro. (2024)
Journal Article
MOOMIN, A., KNOTT, R.M., RUSSELL, W.R., MOYER, M.P. and DUTHIE, S.J. [2024]. Terminalia ivorensis demonstrates antioxidant properties and alters proliferation, genomic instability and migration of human colon cancer cells in vitro. Mutagenesis [online], Advance articles. Available from: https://doi.org/10.1093/mutage/geae026

Colorectal cancer is a global killer that causes approximately 940 thousand deaths annually. Terminalia ivorensis (TI) is a tropical tree, the bark of which is used in African traditional medicine for the treatment of diabetes, malaria and ulcer. Thi... Read More about Terminalia ivorensis demonstrates antioxidant properties and alters proliferation, genomic instability and migration of human colon cancer cells in vitro..

Synthesis and evaluation of polymer-drug conjugates as potential antioxidant and cholinesterase inhibitors for neurodegenerative diseases. (2024)
Journal Article
MAHADIK, N., BARRON, G., KONG THOO LIN, P. and THOMPSON, C. 2024. Synthesis and evaluation of polymer-drug conjugates as potential antioxidant and cholinesterase inhibitors for neurodegenerative diseases. Chemistry of materials [online], 36(21), pages 10514-10527. Available from: https://doi.org/10.1021/acs.chemmater.4c01767

Polymer-drug conjugates (PDCs) may offer improved water-solubility and in vitro activity of potential antioxidant and cholinesterase (ChE) inhibitor drugs compared to the drugs alone. Conjugation of these potential drugs to water-soluble polymers cou... Read More about Synthesis and evaluation of polymer-drug conjugates as potential antioxidant and cholinesterase inhibitors for neurodegenerative diseases..

Evolutionary computation and explainable AI: a roadmap to understandable intelligent systems. (2024)
Journal Article
ZHOU, R., BACARDIT, J., BROWNLEE, A.E.I., CAGNONI, S., FYVIE, M., IACCA, G., MCCALL, J., VAN STEIN, N., WALKER, D.J. and HU, T. [2024]. Evolutionary computation and explainable AI: a roadmap to understandable intelligent systems. IEEE transactions on evolutionary computation [online], Early Access. Available from: https://doi.org/10.1109/TEVC.2024.3476443

Artificial intelligence methods are being increasingly applied across various domains, but their often opaque nature has raised concerns about accountability and trust. In response, the field of explainable AI (XAI) has emerged to address the need fo... Read More about Evolutionary computation and explainable AI: a roadmap to understandable intelligent systems..

MDAR: a multiscale features-based network for remotely measuring human heart rate utilizing dual-branch architecture and alternating frame shifts in facial videos. (2024)
Journal Article
ZHANG, L., REN, J., ZHAO, S. and WU, P. 2024. MDAR: a multiscale features-based network for remotely measuring human heart rate utilizing dual-branch architecture and alternating frame shifts in facial videos. Sensors [online], 24(21), article number 6791. Available from: https://doi.org/10.3390/s24216791

Remote photoplethysmography (rPPG) refers to a non-contact technique that measures heart rate through analyzing the subtle signal changes of facial blood flow captured by video sensors. It is widely used in contactless medical monitoring, remote heal... Read More about MDAR: a multiscale features-based network for remotely measuring human heart rate utilizing dual-branch architecture and alternating frame shifts in facial videos..

Machinability performance of single coated and multicoated carbide tools during turning Ti6Al4V alloy. (2024)
Journal Article
ALI, A., YOUNAS, M., KHAN, M., JAFFERY, S.H.I. and KHAN, Z. [2024]. Machinability performance of single coated and multicoated carbide tools during turning Ti6Al4V alloy. International journal of precision engineering and manufacturing [online], Latest Articles. Available from: https://doi.org/10.1007/s12541-024-01147-9

This paper presents the machinability performance of uncoated, single-coated, and multicoated carbide tools during turning of Grade 5 (Ti6Al4V) Titanium alloy, which is challenging to machine due to its distinctive material properties. Coated tools w... Read More about Machinability performance of single coated and multicoated carbide tools during turning Ti6Al4V alloy..

Understanding lived experiences of low-income UK parents and carers (of infants aged 0-6 months) management of infant feeding in the context of the current cost of living crisis: the DIO Food project. (2024)
Presentation / Conference Contribution
HUNTER, E. and DOUGLAS, F. 2024. Understanding lived experiences of low-income UK parents and carers (of infants aged 0-6 months) management of infant feeding in the context of the current cost of living crisis: the DIO Food project. Presented at the 1st Nourishing Futures Network international conference (NFN 2024): poverty, inequality and food security in preconception and the first 2001 days, 22 October 2024, Newcastle, UK.

Maternal and infant food insecurity is poorly characterised and understood. UK food charities report increased demand for help from families with young infants. This is concerning when considering nutritional requirements during pregnancy and breastf... Read More about Understanding lived experiences of low-income UK parents and carers (of infants aged 0-6 months) management of infant feeding in the context of the current cost of living crisis: the DIO Food project..

Strong robust state of health estimation of lithium-ion batteries based on aging feature mechanism analysis and improved mixed kernel least squares support vector regression model. (2024)
Journal Article
FENG, R., WANG, S., YU, C., HAI, N. and FERNANDEZ, C. [2024]. Strong robust state of health estimation of lithium-ion batteries based on aging feature mechanism analysis and improved mixed kernel least squares support vector regression model. Ionics [online], Latest Articles. Available from: https://doi.org/10.1007/s11581-024-05893-8

The state of health (SOH) of lithium-ion batteries is a decisive factor in ensuring the stability of electric vehicle systems. To solve the problem of low accuracy and robustness of lithium-ion battery SOH prediction models, this article proposes a d... Read More about Strong robust state of health estimation of lithium-ion batteries based on aging feature mechanism analysis and improved mixed kernel least squares support vector regression model..

COIL Match Maker: a new software application to facilitate COIL collaboration. (2024)
Presentation / Conference Contribution
CRAWFORD, I. and EZENKWU, P. [2024]. COIL Match Maker: a new software application to facilitate COIL collaboration. To be presented at the 6th International virtual exchange conference (IVEC 2024), 21-24 October 2024, [virtual event].

COIL Match Maker is proposed as a new AI-powered software application that is designed to make the process of finding a COIL partner and creating a COIL project faster, simpler and more accessible - regardless of location, prior experience, or availa... Read More about COIL Match Maker: a new software application to facilitate COIL collaboration..

Innovative multiscale fusion - antinoise extended long short-term memory neural network modeling for high precision state of health estimation of lithium-ion batteries. (2024)
Journal Article
TAO, J., WANG, S., CAO, W., CUI, Y., FERNANDEZ, C. and GUERRERO, J.M. 2024. Innovative multiscale fusion - antinoise extended long short-term memory neural network modeling for high precision state of health estimation of lithium-ion batteries. Energy [online], 312, article number 133541. Available from: https://doi.org/10.1016/j.energy.2024.133541

An accurate assessment of lithium-ion (Li-ion) batteries' state of health (SOH) is essential for the safe operation of new energy systems and extended battery life. Health factors were extracted by studying the aging test data of Li-ion batteries to... Read More about Innovative multiscale fusion - antinoise extended long short-term memory neural network modeling for high precision state of health estimation of lithium-ion batteries..

Climate change projects and youth engagement: empowerment and contested knowledge. [Preprint] (2024)
Preprint / Working Paper
STAVRIANAKIS, K., NIELSEN, J.A.E. and MORRISON, Z. 2024. Climate change projects and youth engagement: empowerment and contested knowledge. [Preprint]. Hosted on Earth ArXiv [online]. Available from: https://doi.org/10.31223/X5R40M

This study investigated youths' empowerment through EU-funded climate change projects (CCPs), and the role that social research and public engagement have in that process. The importance of considering youth empowerment in a time of climate change is... Read More about Climate change projects and youth engagement: empowerment and contested knowledge. [Preprint].

How-to: scoping review? (2024)
Journal Article
POLLOCK, D., EVANS, C., JIA, R.M., ALEXANDER, L., PIEPER, D., BRANDÃO DE MORAES, E., PETERS, M.D.J., TRICCO, A.C., KHALI, H., GODFREY, C.M., SARAN, A., CAMPBELL, F. and MUNN, Z. 2024. How-to: scoping review? Journal of clinical epidemiology [online], 176, article number 111572. Available from: https://doi.org/10.1016/j.jclinepi.2024.111572

Scoping reviews are a type of evidence synthesis that aims to identify and map the breadth of evidence available on a particular topic, field, concept, or issue, within or across a defined context or contexts. Scoping reviews can contribute to clinic... Read More about How-to: scoping review?.

Integrating KGs and ontologies with RAG for personalised summarisation in regulatory compliance. (2024)
Presentation / Conference Contribution
ARSHAD, U., CORSAR, D. and NKISI-ORJI, I. 2024. Integrating KGs and ontologies with RAG for personalised summarisation in regulatory compliance. In Martin, K., Salimi, P. and Wijayasekara, V. (eds.) 2024. SICSA REALLM workshop 2024: proceedings of the SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024), 17 October 2024, Aberdeen, UK. CEUR workshop proceedings, 3822. Aachen: CEUR-WS [online], pages 56-61. Available from: https://ceur-ws.org/Vol-3822/short7.pdf

With the growing complexity and increased volumes, regulatory texts are fast becoming a significant challenge for organisations to remain compliant. Traditional ways of summarising legal texts need to be more accommodating of critical, domain-specifi... Read More about Integrating KGs and ontologies with RAG for personalised summarisation in regulatory compliance..

SCaLe-QA: Sri Lankan case law embeddings for legal QA. (2024)
Presentation / Conference Contribution
JAYAWARDENA, L., WIRATUNGA, N., ABEYRATNE, R., MARTIN, K., NKISI-ORJI, I. and WEERASINGHE, R. 2024. SCaLe-QU: Sri Lankan case law embeddings for legal QA. In Martin, K., Salimi, P. and Wijayasekara, V. (eds.) 2024. SICSA REALLM workshop 2024: proceedings of the SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024), 17 October 2024, Aberdeen, UK. CEUR workshop proceedings, 3822. Aachen: CEUR-WS [online], pages 47-55. Available from: https://ceur-ws.org/Vol-3822/short6.pdf

SCaLe-QA is a foundational system developed for Sri Lankan Legal Question Answering (LQA) by leveraging domain-specific embeddings derived from Supreme Court cases. The system is tailored to capture the unique linguistic and structural characteristic... Read More about SCaLe-QA: Sri Lankan case law embeddings for legal QA..

Dual-task dialogue understanding. (2024)
Presentation / Conference Contribution
ANWAR, S., WIRATUNGA, N. and SNAITH, M. 2024. Dual-task dialogue understanding. In Martin, K., Salimi, P. and Wijayasekara, V. (eds.) 2024. SICSA REALLM workshop 2024: proceedings of the SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024), 17 October 2024, Aberdeen, UK. CEUR workshop proceedings, 3822. Aachen: CEUR-WS [online], pages 40-46. Available from: https://ceur-ws.org/Vol-3822/short5.pdf

In dialogue systems, utterances do not occur in isolation. One conversation might involve interactions between several speakers. It's crucial to determine the intentions behind utterances in multi-party conversations when more than two interlocutors... Read More about Dual-task dialogue understanding..