All Outputs (8878)

A novel multi–input–multi–output–fuzzy uncoupling model parameter identification strategy for the online state of charge estimation of high-power lithium-ion batteries. (2025)
Journal Article
LIU, D., LI, X., WANG, S., FAN, Y. and FERNANDEZ, C. [2025]. A novel multi–input–multi–output–fuzzy uncoupling model parameter identification strategy for the online state of charge estimation of high-power lithium-ion batteries. Ionics [online], Online First. Available from: https://doi.org/10.1007/s11581-025-06330-0

Due to the strong nonlinear characteristics of multi-state coupling of physical fields such as different charge states and discharge rates in lithium-ion batteries, it poses a great challenge for the parameter identification of the model and the esti... Read More about A novel multi–input–multi–output–fuzzy uncoupling model parameter identification strategy for the online state of charge estimation of high-power lithium-ion batteries..

Optimizing hole transport materials and electrodes for enhanced performance in RbGeBr3-based on perovskite solar cells utilizing fullerene as an electron transport material. (2025)
Journal Article
VALIZADEH, S., SHOKRI, A., LAWAL, S.M. and FOUGH, N. 2025. Optimizing hole transport materials and electrodes for enhanced performance in RbGeBr3-based on perovskite solar cells utilizing fullerene as an electron transport material. Results in physics [online], 73, article number 108280. Available from: https://doi.org/10.1016/j.rinp.2025.108280

In this work, the behavior of the electron transport material C60 and various organic and inorganic hole transfer materials, along with an inorganic perovskite material RbGeBr3, has studied in different perovskite solar cells. The finite element meth... Read More about Optimizing hole transport materials and electrodes for enhanced performance in RbGeBr3-based on perovskite solar cells utilizing fullerene as an electron transport material..

Time-evolved metrics for safety pharmacological assessments of small molecules and biologics. (2025)
Journal Article
SRINIVASAN, B. 2025. Time-evolved metrics for safety pharmacological assessments of small molecules and biologics. British journal of pharmacology [online], 182(13), pages 2831-2841. Available from: https://doi.org/10.1111/bph.70064

Safety of a small-molecule drug is oftentimes a more important criterion than efficacy in determining drug approval. Aspects of safety pharmacological and toxicological liabilities, often resulting from dose-dependent undesirable interaction with eit... Read More about Time-evolved metrics for safety pharmacological assessments of small molecules and biologics..

The beau idéal has been disconnected: a technology-capitalist realism perspective on immediate modernity's anxiety pandemic. (2025)
Journal Article
ADAMS, N.N. [2025]. The beau idéal has been disconnected: a technology-capitalist realism perspective on immediate modernity's anxiety pandemic. Culture unbound [online], Advance Articles. Available from: https://doi.org/10.3384/cu.4513

Within immediate modernity, increases in the multitude of psychological, social, emotional and behavioural disruptions affecting human actors, categorised under the (reductive) label of "anxiety" are reaching an apex. This peak can be conceptualised... Read More about The beau idéal has been disconnected: a technology-capitalist realism perspective on immediate modernity's anxiety pandemic..

Assessing IoT intrusion detection computational costs when using a convolutional neural network. (2025)
Journal Article
NICHO, M., CUSACK, B., MCDERMOTT, C.D. and GIRIJA, S. 2025. Assessing IoT intrusion detection computational costs when using a convolutional neural network. Information security journal [online], Latest Articles. Available from: https://doi.org/10.1080/19393555.2025.2496327

IoT systems face vulnerabilities due to their data processing requirements and resource constraints. With 13 billion connected devices globally, this research investigates the economic viability of AI-based intrusion detection systems (IDSs), specifi... Read More about Assessing IoT intrusion detection computational costs when using a convolutional neural network..

Comparison of the self-healing behaviour of 60Sn40Pb and 99.3Sn0.7Cu solder alloy reinforced Al6061 MMCs’. (2025)
Journal Article
MANTHA, S.R.V., KUMAR, G.B.V., PRAMOD, R., RAO, C.S.P., SAHARUDIN, M.S. and SAHU, S.K. 2025. Comparison of the self-healing behaviour of 60Sn40Pb and 99.3Sn0.7Cu solder alloy reinforced Al6061 MMCs'. Journal of manufacturing and materials processing [online], 9(5), article number 141. Available from: https://doi.org/10.3390/jmmp9050141

The self-healing characteristics of Al6061 reinforced with CuO have been examined experimentally. The solder alloys 60Pb40Sn and 99.3Sn0.7Cu with low melting points are incorporated to strengthen the Al6061 MMCs'; the self-healing properties have bee... Read More about Comparison of the self-healing behaviour of 60Sn40Pb and 99.3Sn0.7Cu solder alloy reinforced Al6061 MMCs’..

Unsupervised domain adaptation for VHR urban scene segmentation via prompted foundation model-based hybrid training joint-optimized network. (2025)
Journal Article
LYU, S., ZHAO, Q., SUN, Y., CHENG, G., HE, Y., WANG, G., REN, J. and SHI, Z. 2025. Unsupervised domain adaptation for VHR urban scene segmentation via prompted foundation model based hybrid training joint-optimized network. IEEE transactions on geoscience and remote sensing [online], 63, article number 4409117. Available from: https://doi.org/10.1109/tgrs.2025.3564216

Unsupervised Domain Adaptation for Remote Sensing Semantic Segmentation (UDA-RSSeg) is to adapt a model trained on the source domain data to the target domain samples, thereby minimizing the need for annotated data across diverse remote sensing scene... Read More about Unsupervised domain adaptation for VHR urban scene segmentation via prompted foundation model-based hybrid training joint-optimized network..

Optimising public transport through the integration of micro and macro-level simulations. (2025)
Presentation / Conference Contribution
HAN, K., CHRISTIE, L.A., ZĂVOIANU, A.-C. and MCCALL, J.A.W. 2025. Optimising public transport through the integration of micro and macro-level simulations. In Quesada-Arencibia, A., Affenzeller, M. and Moreno-Díaz, R. (eds.) Computer aided systems theory - EUROCAST 2024: revised selected papers of the 19th International conference on Computer-aided systems theory (EUROCAST 2024), 25 February - 1 March 2024, Las Palmas de Gran Canaria, Spain. Lecture notes in computer science, 15172. Cham: Springer [online], part 1, pages 107-121. Available from: https://doi.org/10.1007/978-3-031-82949-9_10

The European Commission and the UK aim for net zero emissions in transportation by 2050. This work explores the potential of connected and autonomous vehicles (CAVs) to support this goal by enhancing public transport (PT) via strategic deployment wit... Read More about Optimising public transport through the integration of micro and macro-level simulations..

Systems for assessing the certainty or confidence of evidence in healthcare: a scoping review protocol. (2025)
Journal Article
LIZARONDO, L., LOVEDAY, H., SALMOND, S., COOPER, K., GODFREY, C., POLLOCK, D., RIEGER, K., VANDYK, A., JANAKIRAM, C., NISHA, K., FIORINI, J. and STERN, C. 2025. Systems for assessing the certainty or confidence of evidence in healthcare: a scoping review protocol. JBI evidence synthesis [online], Online First. Available from: https://doi.org/10.11124/JBIES-24-00556

This scoping review aims to identify existing systems, frameworks, and approaches for assessing certainty or confidence in quantitative, qualitative, and mixed methods evidence, providing a foundation for developing a unified framework tailored to mi... Read More about Systems for assessing the certainty or confidence of evidence in healthcare: a scoping review protocol..

Towards explainable metaheuristics: feature mining of search trajectories through principal component projection. (2025)
Journal Article
FYVIE, M., MCCALL, J.A.W. and CHRISTIE, L.A. 2005. Towards explainable metaheuristics: feature mining of search trajectories through principal component projection. ACM transactions on evolutionary learning and optimization [online], 5(2), article number 12. Available from: https://doi.org/10.1145/3731456

While population-based metaheuristics have proven useful for refining and improving explainable AI systems, they are seldom the focus of explanatory approaches themselves. This stems from their inherently stochastic, population-driven searches, which... Read More about Towards explainable metaheuristics: feature mining of search trajectories through principal component projection..

Integrating predictive and hybrid machine learning approaches for optimizing solar still performance: a comprehensive review. (2025)
Journal Article
ELSHEIKH, A., FAQEHA, H., HAMMOODI, K.A., BAWAHAB, M., FUJII, M., SHANMUGAN, S., ESSA, F.A., ABD-ELAZIEM, W., RAMESH, B., SATHYAMURTHY, R. and EGIZA, M. 2025. Integrating predictive and hybrid machine learning approaches for optimizing solar still performance: a comprehensive review. Solar energy [online], 295, article number 113536. Available from: https://doi.org/10.1016/j.solener.2025.113536

The increasing global need for freshwater, coupled with the imperative for sustainable and energy-efficient solutions, has fueled interest in solar distillation technologies. Solar stills (SSs) offer a simple, low-cost and environmentally friendly ap... Read More about Integrating predictive and hybrid machine learning approaches for optimizing solar still performance: a comprehensive review..

Young men with intellectual disabilities' perceptions of HPV and HPV vaccine: a qualitative study on how to communicate HPV vaccine information. (2025)
Journal Article
CARNEGIE, E., GRAY-BRUNTON, C., KENNEDY, C., POW, J., WILLIS, D. and WHITTAKER, A. 2025. Young men with intellectual disabilities' perceptions of HPV and HPV vaccine: a qualitative study on how to communicate HPV vaccine information. Human vaccines and immunotherapeutics [online], 21(1), article number 2491857. Available from: https://doi.org/10.1080/21645515.2025.2491857

The success of vaccination programs relies on acceptance of recommended vaccines by communities and individuals. There is a paucity of evidence regarding how young men with intellectual disabilities actively produce or receive inclusive and accessibl... Read More about Young men with intellectual disabilities' perceptions of HPV and HPV vaccine: a qualitative study on how to communicate HPV vaccine information..

Hyperspectral image classification using a multi-scale CNN architecture with asymmetric convolutions from small to large kernels. (2025)
Journal Article
LIU, X., NG, A.H.-M., LEI, F., REN, J., LIAO, X. and GE, L. 2025. Hyperspectral image classification using a multi-scale CNN architecture with asymmetric convolutions from small to large kernels. Remote sensing [online], 17(8), article number 1461. Available from: https://doi.org/10.3390/rs17081461

Deep learning-based hyperspectral image (HSI) classification methods, such as Transformers and Mambas, have attracted considerable attention. However, several challenges persist, e.g., (1) Transformers suffer from quadratic computational complexity d... Read More about Hyperspectral image classification using a multi-scale CNN architecture with asymmetric convolutions from small to large kernels..

Thermo-physical behaviour of thermoplastic composite pipe for oil and gas applications. (2025)
Journal Article
OKOLIE, O., FAISAL, N.H., JAMIESON, H., MUKHERJI, A. and NJUGUNA, J. 2025. Thermo-physical behaviour of thermoplastic composite pipe for oil and gas applications. Polymers [online], 17(8), article number 1107. Available from: https://doi.org/10.3390/polym17081107

Thermoplastic composite pipes (TCP) consist of three distinct layers—liner, reinforcement, and coating—offering superior advantages over traditional industrial pipes, including flexibility, lightweight construction, and corrosion resistance. This stu... Read More about Thermo-physical behaviour of thermoplastic composite pipe for oil and gas applications..

Without fail: muscular adaptations in single set resistance training performed to failure or with repetitions-in-reserve. (2025)
Journal Article
HERMANN, T., MOHAN, A.E., ENES, A., SAPUPPO, M., PIÑERO, A., ZAMANZADEH, A., ROBERTS, M., COLEMAN, M., KORAKAKIS, P.A., WOLF, M., REFALO, M., SWINTON, P.A. and SCHOENFELD, B.J. [2025]. Without fail: muscular adaptations in single set resistance training performed to failure or with repetitions-in-reserve. Medicine and science in sports and exercise [online], Ahead-of-Print. Available from: https://doi.org/10.1249/MSS.0000000000003728

This study compared the effects of single-set resistance training performed with maximal effort (failure) vs submaximal effort on muscular adaptations. Forty-two young, resistance-trained men and women were randomly assigned to 1 of 2 parallel groups... Read More about Without fail: muscular adaptations in single set resistance training performed to failure or with repetitions-in-reserve..

Intervention mapping in the development of health promotion interventions for adults with chronic conditions: a scoping review. (2025)
Journal Article
HERBERT, T., COOPER, K. and MALONE, M. [2025]. Intervention mapping in the development of health promotion interventions for adults with chronic conditions: a scoping review. JBI evidence synthesis [online], (accepted).

The objective of this scoping review was to map how Intervention Mapping (IM) has been used to develop health promotion interventions for adults with chronic conditions. Chronic conditions present a growing burden of disease across the world with man... Read More about Intervention mapping in the development of health promotion interventions for adults with chronic conditions: a scoping review..

Resolving the paradox of green innovation across generations in family firms: an exploratory analysis of incumbents and successors perceptions. (2025)
Journal Article
OKE, A., TURLA, M., OSOBAJO, O. and KOUTSOUKOS, S. [2025]. Resolving the paradox of green innovation across generations in family firms: an exploratory analysis of incumbents and successors perceptions. Journal of family business management [online], Early Cite. Available from: https://doi.org/10.1108/jfbm-03-2025-0068

Informed by the dearth of research and insufficient knowledge of green innovation in family firms, this study explores the intersection of green innovation, family firms, and intergenerational succession in resolving the paradox of green innovation a... Read More about Resolving the paradox of green innovation across generations in family firms: an exploratory analysis of incumbents and successors perceptions..

Recognition and assistance in cross-border insolvency: an analysis of the Joint Liquidators of Bull's-Eye Limited (in Liquidation) v Changjiang Securities Brokerage (HK) Ltd and Others [2024] HKCFI 3000. [Case comment]. (2025)
Journal Article
MAK, C.H.W. [2025]. Recognition and assistance in cross-border insolvency: an analysis of the Joint Liquidators of Bull's-Eye Limited (in Liquidation) v Changjiang Securities Brokerage (HK) Ltd and Others [2024] HKCFI 3000. [Case comment]. International insolvency review [online], Early View. Available from: https://doi.org/10.1002/iir.1563

This paper examines the recent decision of the Hong Kong Court of First Instance in The Joint Liquidators of Bull's-Eye Limited (in Liquidation) v Changjiang Securities Brokerage (HK) Ltd and Others [2024] HKCFI 3000, which highlights Hong Kong's evo... Read More about Recognition and assistance in cross-border insolvency: an analysis of the Joint Liquidators of Bull's-Eye Limited (in Liquidation) v Changjiang Securities Brokerage (HK) Ltd and Others [2024] HKCFI 3000. [Case comment]..

AiION: novel deep learning chemical geothermometer for temperature prediction of deep geothermal reservoirs. (2025)
Journal Article
ALGAIAR, M., BANO, S., LASHIN, A., HOSSAIN, M., FAISAL, N.H. and ABU SALEM, H.S. 2025. AiION: novel deep learning chemical geothermometer for temperature prediction of deep geothermal reservoirs. Renewable energy [online], 248, article number 123154. Available from: https://doi.org/10.1016/j.renene.2025.123154

This study introduces AiION, a novel deep learning chemical geothermometer designed to predict deep geothermal reservoir temperatures and address the limitations of traditional geothermometry methods. By integrating classical geothermometry, multi-co... Read More about AiION: novel deep learning chemical geothermometer for temperature prediction of deep geothermal reservoirs..

Preferentially-orientated gradient precipitates enable unique strength-ductility synergy in Mg-Sn binary alloys. [Video] (2025)
Data
ZHOU, L., SUN, Y., ZOU, G., HU, H., ZHANG, Y., SU, H., ZHENG, S., ZHU, Y., CHEN, P., FERNANDEZ, C. and PENG, Q. 2025. Preferentially-orientated gradient precipitates enable unique strength-ductility synergy in Mg-Sn binary alloys. [Video]. Journal of materials science and technology [online], 237, pages 298-311. Available from: https://doi.org/10.1016/j.jmst.2025.01.082

Conventional manufacturing approaches, including casting, thermal deformation and annealing, have faced great challenges in achieving both exceptional strength and ductility for Mg alloys. Herein, we report an effective strategy for simultaneously en... Read More about Preferentially-orientated gradient precipitates enable unique strength-ductility synergy in Mg-Sn binary alloys. [Video].