All Outputs (8443)

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..

Formal dialogue and large language models. (2024)
Presentation / Conference Contribution
SNAITH, M. and WELLS, S. 2024. Formal dialogue and large language models. 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 24-31. Available from: https://ceur-ws.org/Vol-3822/short3.pdf

In this paper, we present preliminary work into combining formal models of dialogue and large language models, before going on to discuss how this provides a foundation for similar approaches involving computational models of argument. First, we addr... Read More about Formal dialogue and large language models..

Towards improving open-box hallucination detection in large language models (LLMs). (2024)
Presentation / Conference Contribution
SURESH, M., ALJUNDI, R., NKISI-ORJI, I. and WIRATUNGA, N. 2024. Towards improving open-box hallucination detection in large language models (LLMs). 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 1-10. Available from: https://ceur-ws.org/Vol-3822/paper1.pdf

Due to the increasing availability of Large Language Models (LLMs) through both proprietary and open-sourced releases of models, the adoption of LLMs across applications has drastically increased making them commonplace in day-to-day lives. Yet, the... Read More about Towards improving open-box hallucination detection in large language models (LLMs)..

Extended results for: enhancing abstract screening classification in evidence-based medicine: incorporating domain knowledge into pre-trained models. (2024)
Presentation / Conference Contribution
OFORI-BOATENG, R., ACEVES-MARTINS, M., WIRATUNGA, N. and MORENO-GARCIA, C.F. 2024. Extended results for: enhancing abstract screening classification in evidence-based medicine: incorporating domain knowledge into pre-trained models. In Martin, K., Salimi, P. and Wijayasekara, V. (eds.). Proceedings of the 2024 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, 3822Aachen: CEUR-WS [online], pages 11-18. Available from: https://ceur-ws.org/Vol-3822/short1.pdf

Evidence-based medicine (EBM) is a foundational element in medical research, playing a crucial role in shaping healthcare policies and clinical decision-making. However, the rigorous processes required for EBM, particularly during the abstract screen... Read More about Extended results for: enhancing abstract screening classification in evidence-based medicine: incorporating domain knowledge into pre-trained models..

Talking about prisons: making sense of difficult heritage at Peterhead Prison Museum. (2024)
Presentation / Conference Contribution
IRONSIDE, R. and ROITERSHTEIN, A. 2024. Talking about prisons: making sense of difficult heritage at Peterhead Prison Museum. Presented at the Roots revived conference: memory, legacy, heritage and tourism, 17 October 2024, Edinburgh, UK.

Prison museums have become an increasingly popular tourist attraction. Presenting visitors with stories and exhibits pertaining to countries' penal history, they engage with difficult and often dissonant heritage. Peterhead Prison Museum ceased opera... Read More about Talking about prisons: making sense of difficult heritage at Peterhead Prison Museum..

An improved relative integral capacity-K-means clustering method for capacity pre-sorting of decommissioned power batteries. (2024)
Presentation / Conference Contribution
XU, X., WANG, S., LIU, D., FERNANDEZ, C. and BLAABJERG, F. 2024. An improved relative integral capacity-K-means clustering method for capacity pre-sorting of decommissioned power batteries. Journal of physics: conference series [online], 2853: proceedings of the 7th International conference on mechanical, electric and industrial engineering, 21-23 May 2024, Yichang, China, article number 012057. Available from: https://doi.org/10.1088/1742-6596/2853/1/012057

Capacity sorting is the primary prerequisite for the stepwise utilization of decommissioned power batteries. This study proposes an improved relative integral capacity-K-means clustering (RIC-KMC) method for preliminary sorting of decommissioned powe... Read More about An improved relative integral capacity-K-means clustering method for capacity pre-sorting of decommissioned power batteries..

Fabrication with magnetic-spin coating: influence of magnetic-inertia energy ratio on gold-Pickering ferrofluid droplet assembly morphology. (2024)
Journal Article
OKPOZO, P., NJUGUNA, J., ISLAM, S., UYANGA, K. and PANCHOLI, K. 2024. Fabrication with magnetic-spin coating: influence of magnetic-inertia energy ratio on gold-Pickering ferrofluid droplet assembly morphology. Journal of magnetism and magnetic materials [online], 611, article number 172577. Available from: https://doi.org/10.1016/j.jmmm.2024.172577

Magnetic self-assembly of nanoparticles is a well-known technique for creating thin-film array-patterned functional microstructures. However, an uncontrollable hierarchical assembly formation of magnetically stimulated particles has hindered the desi... Read More about Fabrication with magnetic-spin coating: influence of magnetic-inertia energy ratio on gold-Pickering ferrofluid droplet assembly morphology..

Evaluating the impact of ranging error in underwater localization using SAR satellite data. (2024)
Presentation / Conference Contribution
MUHAMMAD, A., STEWART, C., FOUGH, N. and KANNAN, S. 2024. Evaluating the impact of ranging error in underwater localization using SAR satellite data. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea; learning to measure sea health parameters (IEEE MetroSea 2024), 14-16 October 2024, Portorose, Slovenia. Piscataway: IEEE [online], pages 40-45. Available from: https://doi.org/10.1109/MetroSea62823.2024.10765665

The study evaluated the impact of ranging error in underwater localization processes using SAR satellite data within the framework of Underwater Wireless Sensor Networks (UWSN). By integrating a pretrained ArcGIS deep learning model with SAR imagery,... Read More about Evaluating the impact of ranging error in underwater localization using SAR satellite data..