All Outputs (4716)

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..

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]..

From conventional methods to large language models: a systematic review of techniques in mobile app review analysis. (2025)
Journal Article
ARAMBEPOLA, N., MUNASINGHE, L. and WIMALASENA, W. 2025. From conventional methods to large language models: a systematic review of techniques in mobile app review analysis. International journal of information, knowledge and management [online], 20, article number 16. Available from: https://doi.org/10.28945/5491

This paper focuses on app review analysis techniques, driven by the rapid advancement of the mobile app market and NLP techniques in optimizing mobile app user experiences. Owing to technological advancements, app review analysis has rapidly evolved.... Read More about From conventional methods to large language models: a systematic review of techniques in mobile app review analysis..

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. (2025)
Journal Article
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. 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..

Deconstructing critical thinking skills provision: the normative and the transformative. (2025)
Journal Article
MITSAKI, C. and ZHANG, Q. 2025. Deconstructing critical thinking skills provision: the normative and the transformative. BALEAP: journal of research and practice [online], 1(1): write-ups from Caution! EAP under DEconstruction: proceedings from the 2023 biennial conference, 19-21 April 2023, Warwick, UK, pages 112-139. Available from: https://doi.org/10.31273/baleapjrp.v1.n1.1888

Critical thinking skills are at the core of Higher Education and EAP practice; however, there is little consensus in defining the term and its elusive nature. We approached this landscape from a social-constructivist perspective aiming at deconstruct... Read More about Deconstructing critical thinking skills provision: the normative and the transformative..

The measurement of dietary species richness reveals that a higher consumption of dietary fibre, fish, fruits and vegetables, is associated with greater food biodiversity in UK diets. (2025)
Journal Article
ACEVES-MARTINS, M., LÖFSTEDT, A., MORENO-GARCÍA, C.F., ZANDSTRA, E.H., WANDERS, A.J. and DE ROOS, B. 2025. The measurement of dietary species richness reveals that a higher consumption of dietary fibre, fish, fruits and vegetables, is associated with greater food biodiversity in UK diets. Public health nutrition [online], 28(1), article e76. Available from: https://doi.org/10.1017/S1368980025000473

We determined whether Dietary Species Richness (DSR) i) can be robustly measured using four-day food intake data, ii) is dependent on sociodemographic characteristics, and iii) is associated with diet quality. The National Diet and Nutrition Survey (... Read More about The measurement of dietary species richness reveals that a higher consumption of dietary fibre, fish, fruits and vegetables, is associated with greater food biodiversity in UK diets..

Socioeconomic determinants of overweight and obesity among Mexican children and adolescents: systematic review and meta‐analysis. (2025)
Journal Article
ACEVES-MARTINS, M., GUTIERREZ-GÓMEZ, Y.Y. and MORENO-GARCÍA, C.F. 2025. Socioeconomic determinants of overweight and obesity among Mexican children and adolescents: systematic review and meta-analysis. Obesity reviews [online], Early View, article number e13926. Available from: https://doi.org/10.1111/obr.13926

Socioeconomic status (SES) has widely been studied as a potential risk factor for obesity among children and adolescents. Nevertheless, SES determinants are rarely contextualized within a country's situation. This work aimed to identify SES factors a... Read More about Socioeconomic determinants of overweight and obesity among Mexican children and adolescents: systematic review and meta‐analysis..

Experimental study on the effect of biocompetitive exclusion chemical on the unconfined compressive strength of sandstone reservoir rock under static saturation. (2025)
Journal Article
PERETOMODE, E., FAISAL, N. and OLUYEMI, G. 2025. Experimental study on the effect of biocompetitive exclusion chemical on the unconfined compressive strength of sandstone reservoir rock under static saturation. Geomechanics and geoengineering [online], Latest Articles. Available from: https://doi.org/10.1080/17486025.2025.2484482

The potential impacts of oilfield chemical treatment on the petrophysical and geomechanical properties of reservoir rock are well known. In this paper, the effect of bio-competitive exclusion chemical (sodium nitrate) treatment on sandstone rock prop... Read More about Experimental study on the effect of biocompetitive exclusion chemical on the unconfined compressive strength of sandstone reservoir rock under static saturation..

Digitalisation and green strategies: a systematic review of the textile, apparel and fashion industries. (2025)
Journal Article
ORISADARE, E.A., ACHUKWU, O.E., OGUNYEMI, A.A., ADEDEJI, D.O., DIYAOLU, I.J., UGWU, E.I., OLUWATOPE, A.O., BAKARE, K.O. and AWOYELU, I.O. [2025]. Digitalisation and green strategies: a systematic review of the textile, apparel and fashion industries. Circular economy and sustainability [online], Online First. Available from: https://doi.org/10.1007/s43615-025-00555-x

The textile, apparel, and fashion (TAF) industries are vital to national economies, providing employment and fostering global economic development. On the other hand, TAF industries contribute to approximately 20% of global pollution. The rise of Ind... Read More about Digitalisation and green strategies: a systematic review of the textile, apparel and fashion industries..

Social capital and improved wellbeing: a qualitative investigation of the Wild Things! Silver Saplings Adventures programme in rural North-East Scotland. (2025)
Journal Article
ADAMS, N.N., MACIVER, E., DOUGLAS, F. and KENNEDY, C. [2025]. Social capital and improved wellbeing: a qualitative investigation of the Wild Things! Silver Saplings Adventures programme in rural North-East Scotland. Journal of gerontological social work [online], Latest Articles. Available from: https://doi.org/10.1080/01634372.2025.2488020

The Silver Saplings Adventures Programme (SSAP), run by Wild Things! charity in Scotland, enhances older adults' wellbeing through nature-based activities, lifelong learning and social cohesion. This study evaluates SSAP's 2023 impact using remote in... Read More about Social capital and improved wellbeing: a qualitative investigation of the Wild Things! Silver Saplings Adventures programme in rural North-East Scotland..