All Outputs (4674)

Why we must stop assuming and estimating menstrual cycle phases in laboratory and field-based sport related research. (2025)
Journal Article
ELLIOTT-SALE, K.J., ALTINI, M., DOYLE-BAKER, P. et al. 2025. Why we must stop assuming and estimating menstrual cycle phases in laboratory and field-based sport related research. Sports medicine [online], Latest Articles. Available from: https://doi.org/10.1007/s40279-025-02189-3

The increased growth, popularity, and media interest in women's sport has led to calls for greater prioritisation of female-specific research and innovation. In response, science and medicine researchers have increased the volume of sport-related stu... Read More about Why we must stop assuming and estimating menstrual cycle phases in laboratory and field-based sport related research..

Entropy guidance hierarchical rich-scale feature network for remote sensing image semantic segmentation of high resolution. (2025)
Journal Article
ZHANG, H., LI, L., XIE, X., HE, Y., REN, J. and XIE, G. 2025. Entropy guidance hierarchical rich-scale feature network for remote sensing image semantic segmentation of high resolution. Applied intelligence [online], 55(6), article number 528. Available from: https://doi.org/10.1007/s10489-025-06433-1

Semantic segmentation of high-resolution remote sensing images (HRRSIs) is crucial for a wide range of applications, such as urban planning and disaster management. However, in HRRSIs, existing multiscale feature extraction and fusion methods often f... Read More about Entropy guidance hierarchical rich-scale feature network for remote sensing image semantic segmentation of high resolution..

From learning to action: exploring barriers and strategies for embedding lessons learned through a social learning lens. (2025)
Journal Article
OSOBAJO, O.A., LAWANI, A., OKE, A., KAMUDYARIWA, X.B. and ADEBAYO, Y. 2025. From learning to action: exploring barriers and strategies for embedding lessons learned through a social learning lens. International journal of managing projects in business [online], 18(2), pages 331-352. Available from: https://doi.org/10.1108/ijmpb-10-2024-0250

The purpose of this study is to explore the barriers to implementing lessons learned in project-based organisations and how they can be effectively captured and embedded to create knowledge that drives project success and organisational performance.... Read More about From learning to action: exploring barriers and strategies for embedding lessons learned through a social learning lens..

Evaluating cross-domain sentiment analysis using convolutional neural network for Amazon dataset. (2025)
Journal Article
AZIZ, A.A., OTHMAN, A.N., EZENKWU, P. and MADI, E.N. 2025. Evaluating cross-domain sentiment analysis using convolutional neural network for Amazon dataset. Journal of advanced research in applied sciences and engineering technology [online], 63(2), pages 207-214. Available from: https://doi.org/10.37934/araset.63.2.207214

Sentiment Analysis (SA) has garnered extensive research attention over the past decades as a means to comprehend users' attitudes and opinions in various domains. With the proliferation of online communities and the rapid generation of social media c... Read More about Evaluating cross-domain sentiment analysis using convolutional neural network for Amazon dataset..

The lifecycle of a social media beauty trend: a case study of the Instagram body. [Article] (2025)
Journal Article
UTI, T. and MARCELLA-HOOD, M. 2025. The lifecycle of a social media beauty trend: a case study of the Instagram body. Cogent arts and humanities [online], 12(1), article number 2472544. Available from: https://doi.org/10.1080/23311983.2025.2472544

This article explores the evolution of the Instagram body as an example of a social media beauty trend and theorises an updated lifecycle model to convey this phenomenon. The advent and evolution of social media has led to an online beauty culture an... Read More about The lifecycle of a social media beauty trend: a case study of the Instagram body. [Article].

Microplastics in agricultural soils following sewage sludge applications: evidence from a 25-year study. (2025)
Journal Article
RAMAGE, S.J.F.F., COULL, M., COOPER, P., CAMPBELL, C.D., PRABHU, R., YATES, K., DAWSON, L.A., DEVALLA, S. and PAGALING, E. 2025. Microplastics in agricultural soils following sewage sludge applications: evidence from a 25-year study. Chemosphere [online], 376, article number 144277. Available from: https://doi.org/10.1016/j.chemosphere.2025.144277

Sewage sludges applied to agricultural soils are sources of microplastic pollution, however, little is known about the accumulation, persistence, or degradation of these microplastics over time. This is the first study to provide long-term, high temp... Read More about Microplastics in agricultural soils following sewage sludge applications: evidence from a 25-year study..

Circular Economy (Scotland) Act 2024: pioneering sustainable legislation in the United Kingdom. (2025)
Journal Article
MAK, C.H.W. 2025. Circular Economy (Scotland) Act 2024: pioneering sustainable legislation in the United Kingdom. Scots law times [online], 2025(8), pages 63-65. Available from: http://legalresearch.westlaw.co.uk/

The author discusses the scope and application of the Circular Economy (Scotland) Act 2024, which aims to redefine economic practices to promote sustainability and resource efficiency.

A latency-efficient integration of channel attention for ConvNets. (2025)
Journal Article
PARK, W., CHOI, Y., MEKALA, M.S., CHOI, G.S., YOO, K.-Y. and JUNG, H.-Y. 2025. A latency-efficient integration of channel attention for ConvNets. Computers, maerials and continua [online], 82(3), pages 3965-3981. Available from: https://doi.org/10.32604/cmc.2025.059966

Designing fast and accurate neural networks is becoming essential in various vision tasks. Recently, the use of attention mechanisms has increased, aimed at enhancing the vision task performance by selectively focusing on relevant parts of the input.... Read More about A latency-efficient integration of channel attention for ConvNets..

Cutting-edge approaches in intrusion detection systems: a systematic review of deep learning, reinforcement learning, and ensemble techniques. (2025)
Journal Article
KALPANI, N., RODRIGO, N., SENEVIRATNE, D., ARIYADASA, S. and SENANAYAKE, J. 2025. Cutting-edge approaches in intrusion detection systems: a systematic review of deep learning, reinforcement learning, and ensemble techniques. Iran journal of computer science [online], Online First. Available from: https://doi.org/10.1007/s42044-025-00246-8

The growing number of networked devices and complex network infrastructures necessitates robust network security measures. Network intrusion detection systems are crucial for identifying and mitigating malicious activities within network environments... Read More about Cutting-edge approaches in intrusion detection systems: a systematic review of deep learning, reinforcement learning, and ensemble techniques..

Joint state of charge and state of energy estimation of special aircraft lithium-ion batteries by optimized genetic marginalization-extended particle filtering. (2025)
Journal Article
WANG, S., LUO, T., HAI, N., BLAABJERG, F. and FERNANDEZ, C. 2025. Joint state of charge and state of energy estimation of special aircraft lithium-ion batteries by optimized genetic marginalization-extended particle filtering. Journal of energy storage [online], 115, article number 116001. Available from: https://doi.org/10.1016/j.est.2025.116001

With the continuous development and widespread application of special aircraft, accurately estimating the performance and status of battery systems has become crucial. This paper focuses on the joint estimation of State of Charge (SOC) and State of E... Read More about Joint state of charge and state of energy estimation of special aircraft lithium-ion batteries by optimized genetic marginalization-extended particle filtering..

Transforming manufacturing quality management with cognitive twins: a data-driven, predictive approach to real-time optimization of quality. (2025)
Journal Article
ULLAH, A., YOUNAS, M. and SAHARUDIN, M.S. 2025. Transforming manufacturing quality management with cognitive twins: a data-driven, predictive approach to real-time optimization of quality. Journal of manufacturing and materials processing [online], 9(3), article number 79. Available from: https://doi.org/10.3390/jmmp9030079

In the ever-changing world of modern manufacturing, maintaining product quality is of great importance, yet extremely difficult due to complexities and the dynamic production paradigm. Currently, quality is rather reactively measured through periodic... Read More about Transforming manufacturing quality management with cognitive twins: a data-driven, predictive approach to real-time optimization of quality..

Improved volumetric noise-adaptive H-infinity filtering for accurate state of power estimation of lithium-ion batteries with multi-parameter constraint considering low-temperature influence. (2025)
Journal Article
WANG, S., HU, B., ZHOU, L., LIU, Y., FERNANDEZ, C. and BLAABJERG, F. 2025. Improved volumetric noise-adaptive H-infinity filtering for accurate state of power estimation of lithium-ion batteries with multi-parameter constraint considering low-temperature influence. Journal of energy storage [online], 115, article number 115999. Available from: https://doi.org/10.1016/j.est.2025.115999

Currently, the field of new energy is booming. Batteries containing lithium-ion have become an important component of new energy vehicles. The key parameters to accurately estimate the battery state depend on the State of Charge (SOC) and the State o... Read More about Improved volumetric noise-adaptive H-infinity filtering for accurate state of power estimation of lithium-ion batteries with multi-parameter constraint considering low-temperature influence..

Cohesive zone model for the thermomechanical deformation of a high temperature tubular solid oxide electrolysis cell. (2025)
Journal Article
KURUSHINA, V., PRATHURU, A., SOMAN, A., HOSSAIN, M., CAI, Q., HORRI, B.A. and FAISAL, N.H. 2025. Cohesive zone model for the thermomechanical deformation of a high temperature tubular solid oxide electrolysis cell. Engineering fracture mechanics [online], 318, article number 110987. Available from: https://doi.org/10.1016/j.engfracmech.2025.110987

High-temperature processes for hydrogen production unlock the potential for high energy efficiency combined with a relatively low environmental impact. However, structural integrity should be carefully considered. Solid oxide electrolysis cells (SOEC... Read More about Cohesive zone model for the thermomechanical deformation of a high temperature tubular solid oxide electrolysis cell..

Sulfur-linked cyanoterphenyl-based liquid crystal dimers and the twist-bend nematic phase. (2025)
Journal Article
CRUICKSHANK, E., STRACHAN, G.J., PEARSON, A., POCIECHA, D., GORECKA, E., STOREY, J.M.D. and IMRIE, C.T. [2025]. Sulfur-linked cyanoterphenyl-based liquid crystal dimers and the twist-bend nematic phase. Physical chemistry chemical physics [online], Advanced Articles. Available from: https://doi.org/10.1039/D4CP04189E

The synthesis and characterisation of two series of cyanoterphenyl-based liquid crystal dimers containing sulfur links between the spacer and mesogenic units, the 34-{ω-[(4′-cyano-[1,1′-biphenyl]-4-yl)thio]alkyl}-[11,21:24,31-terphenyl]-14-carbonitri... Read More about Sulfur-linked cyanoterphenyl-based liquid crystal dimers and the twist-bend nematic phase..

Investigating facilitators and barriers to the routine provision of HIV PrEP in community pharmacies in London. (2025)
Journal Article
ALTER, M., LAKHANI, S., ALAA, A., KARKI, M., RIBOLI-SASCO, E. and EL-OSTA, A. 2025. Investigating facilitators and barriers to the routine provision of HIV PrEP in community pharmacies in London. BMC health services research [online], 25, article number 312. Available from: https://doi.org/10.1186/s12913-025-12336-1

The United Kingdom's (UK) integration of Pre-exposure Prophylaxis (PrEP) into community pharmacies presents an alternative avenue for supporting Human Immunodeficiency Virus (HIV) prevention. Despite its effectiveness, PrEP's accessibility remains hi... Read More about Investigating facilitators and barriers to the routine provision of HIV PrEP in community pharmacies in London..

Extracorporeal shock wave therapy for chronic adhesive capsulitis in type 2 diabetics: a systematic review with meta-analysis. (2025)
Journal Article
RENO, C., SWINTON, P. and ALEXANDER, L. [2025]. Extracorporeal shock wave therapy for chronic adhesive capsulitis in type 2 diabetics: a systematic review with meta-analysis. Physical therapy and rehabilitation journal [online], (accepted).

The object of this research is to assess the effectiveness of extracorporeal shock wave therapy in the treatment of chronic adhesive capsulitis in the type 2 diabetes population. A systematic review with meta-analysis was used. Two reviewers independ... Read More about Extracorporeal shock wave therapy for chronic adhesive capsulitis in type 2 diabetics: a systematic review with meta-analysis..

Blue hydrogen in the United Kingdom: a policy and environmental case study. (2025)
Journal Article
OBUROH, A., OKE, A., NJUGUNA, J. and YOUNAS, M. 2025. Blue hydrogen in the United Kingdom: a policy and environmental case study. Energy reviews [online], 4(2), article number 100131. Available from: https://doi.org/10.1016/j.enrev.2025.100131

Blue hydrogen is one of the energy carriers to be adopted by the United Kingdom to reduce emissions to net Zero by 2050 and its use is majorly influenced by policy and technological innovations. With more than 10 blue hydrogen facilities planning pro... Read More about Blue hydrogen in the United Kingdom: a policy and environmental case study..

A systematic review of simulation models in medicine supply chain management: current state and emerging trends. (2025)
Journal Article
NABAYIGA, H., VAN DER MEER, R. and AGHA, M.S.A. 2025. A systematic review of simulation models in medicine supply chain management: current state and emerging trends. Decision analytics journal [online], 14, article number 100555. Available from: https://doi.org/10.1016/j.dajour.2025.100555

Simulation modelling has widely been applied in healthcare supply chain management, focusing on blood and vaccine supply chains with less attention on the medicine supply chains. This study presents a systematic review of studies applying simulation... Read More about A systematic review of simulation models in medicine supply chain management: current state and emerging trends..

Battery pack capacity estimation based on improved cooperative co-evolutionary strategy and LightGBM hybrid models using indirect health features. (2025)
Journal Article
ZHOU, Y., WANG, S., LI, Z., FENG, R. and FERNANDEZ, C. 2025. Battery pack capacity estimation based on improved cooperative co-evolutionary strategy and LightGBM hybrid models using indirect health features. Journal of energy storage [online], 114(Part B), article number 115914. Available from: https://doi.org/10.1016/j.est.2025.115914

Focuses on the accurate estimation of battery pack capacity under real-world operating conditions, which is critical to improving the reliability of battery-powered systems, extending battery life, and optimizing health management strategies. This pa... Read More about Battery pack capacity estimation based on improved cooperative co-evolutionary strategy and LightGBM hybrid models using indirect health features..

Enhancing student experience and career knowledge through alumni engagement: case study of a sport and exercise science course. (2025)
Journal Article
BURGESS, K.E. and MAUGHAN, P. 2025. Enhancing student experience and career knowledge through alumni engagement: case study of a sport and exercise science course. Journal of hospitality, leisure, sport and tourism education [online], 36, article number 100543. Available from: https://doi.org/10.1016/j.jhlste.2025.100543

The aims of this project were to utilise alumni to enhance Sport and Exercise Science students' knowledge of possible career pathways and enhance student engagement through relatable real-life applications. The project began by contacting all Alumni... Read More about Enhancing student experience and career knowledge through alumni engagement: case study of a sport and exercise science course..