All Outputs (4476)

Barriers and facilitators to implementing polypharmacy management frameworks: a theory based qualitative exploration of key stakeholders. (2024)
Journal Article
AL BULUSHI, S., MCINTOSH, T., TALKHAN, H., GRANT, A., STEWART, D., AL FAMY, M. and CUNNINGHAM, S. [2025]. Barriers and facilitators to implementing polypharmacy management frameworks: a theory based qualitative exploration of key stakeholders. International journal of clinical pharmacy [online], Latest Articles. Available from: https://doi.org/10.1007/s11096-024-01844-5

Inappropriate polypharmacy arises through many factors including deficiencies in prescribing processes. Most research has focused on solutions at the clinician/patient levels with less at the organisational level. To explore key stakeholder identifie... Read More about Barriers and facilitators to implementing polypharmacy management frameworks: a theory based qualitative exploration of key stakeholders..

Effective utilization of unidirectional laminates for mass reduction in composite blades of multi-MW wind turbines. (2024)
Journal Article
ATTAR, S. and HAYAT, K. [2024]. Effective utilization of unidirectional laminates for mass reduction in composite blades of multi-MW wind turbines. Advanced composite materials [online], Latest Articles. Available from: https://doi.org/10.1080/09243046.2024.2438470

In this study, a reduction of 7.8–10.37% in the blade mass was achieved by optimizing the thickness of unidirectional spars in the Sandia 100-m all-glass baseline blade for a 13.2 MW wind turbine. The optimized design still complies with stiffness, s... Read More about Effective utilization of unidirectional laminates for mass reduction in composite blades of multi-MW wind turbines..

Composites techniques optimization and finite element analysis of kenaf fiber reinforced epoxy nonwoven composite structures for renewable energy infrastructure. (2024)
Journal Article
OWEN, M.M., WONG, L.S., ACHUKWU, E.O., ROMLI, A.Z., NAZERI, M.N. and SHUIB, S. 2024. Composites techniques optimization and finite element analysis of kenaf fiber reinforced epoxy nonwoven composite structures for renewable energy infrastructure. Journal of industrial textiles [online], 54, pages 1-32. Available from: https://doi.org/10.1177/15280837241283963

In exploring the viability of kenaf fiber-reinforced epoxy nonwoven composites (KFRECs) for renewable energy infrastructure, the optimization of their manufacturing techniques for maximum performance remains a significant research gap. This study add... Read More about Composites techniques optimization and finite element analysis of kenaf fiber reinforced epoxy nonwoven composite structures for renewable energy infrastructure..

Blind sonar image quality assessment via machine learning: leveraging micro- and macro-scale texture and contour features in the wavelet domain. (2024)
Journal Article
TOLIE, H.F., REN, J., CHEN, R., ZHAO, H. and ELYAN, E. 2025. Blind sonar image quality assessment via machine learning: leveraging micro- and macro-scale texture and contour features in the wavelet domain. Engineering applications of artificial intelligence [online], 141, article number 109730. Available from: https://doi.org/10.1016/j.engappai.2024.109730

In subsea environments, sound navigation and ranging (SONAR) images are widely used for exploring and monitoring infrastructures due to their robustness and insensitivity to low-light conditions. However, their quality can degrade during acquisition... Read More about Blind sonar image quality assessment via machine learning: leveraging micro- and macro-scale texture and contour features in the wavelet domain..

Benchmarking a novel particle swarm optimization dynamic model versus HOMER in optimally sizing grid-integrated hybrid PV–hydrogen energy systems. (2024)
Journal Article
ATTEYA, A.I. and ALI, D. 2024. Benchmarking a novel particle swarm optimization dynamic model versus HOMER in optimally sizing grid-integrated hybrid PV–hydrogen energy systems. Eng [online], 5(4), pages 3239-3258. Available from: https://doi.org/10.3390/eng5040170

This paper presents the development of an Artificial Intelligence (AI)-based integrated dynamic hybrid PV-H2 energy system model together with a reflective comparative analysis of its performance versus that of the commercially available HOMER softwa... Read More about Benchmarking a novel particle swarm optimization dynamic model versus HOMER in optimally sizing grid-integrated hybrid PV–hydrogen energy systems..

Review of detection, prediction and treatment of fluid loss events. (2024)
Journal Article
AMISH, M. and KHODJA, M. 2025. Review of detection, prediction and treatment of fluid loss events. Arabian journal of geosciences [online], 18(1), article number 8. Available from: https://doi.org/10.1007/s12517-024-12142-9

Lost circulation has the potential to cause formation damage, wellbore instability and a blowout. Many methods have been introduced, but there is no industry-wide solution available to predict lost circulation due to some constraints in the field. It... Read More about Review of detection, prediction and treatment of fluid loss events..

The demise of mutual trust: UK-EU extradition post-Brexit: execution of European arrest warrants against MA (Alchaster Case) (C-202/24). (2024)
Journal Article
ARNELL, P. 2024 The demise of mutual trust: UK-EU extradition post-Brexit: execution of European arrest warrants against MA (Alchaster Case) (C-202/24). Scots law times [online], 39, pages 277-279. Available from: https://uk.westlaw.com

This case comment considers extraditions from the UK to the EU post-Brexit, focusing on Execution of European Arrest Warrants against MA (C-202/24) (ECJ), a request for a preliminary ruling on the conditions under which arrest warrants issued by the... Read More about The demise of mutual trust: UK-EU extradition post-Brexit: execution of European arrest warrants against MA (Alchaster Case) (C-202/24)..

Graph-variational convolutional autoencoder-based fault detection and diagnosis for photovoltaic arrays. (2024)
Journal Article
ARIFEEN, M., PETROVSKI, A., HASAN, M.J., NOMAN, K., NAVID, W.U. and HARUNA, A. 2024. Graph-variational convolutional autoencoder-based fault detection and diagnosis for photovoltaic arrays. Machines [online], 12(12), article 894. Available from: https://doi.org/10.3390/machines12120894

Solar energy is a critical renewable energy source, with solar arrays or photovoltaic systems widely used to convert solar energy into electrical energy. However, solar array systems can develop faults and may exhibit poor performance. Diagnosing and... Read More about Graph-variational convolutional autoencoder-based fault detection and diagnosis for photovoltaic arrays..

Finite element analysis of stress distribution in alkali-peroxide treated epoxy composites with various woven cotton structures. (2024)
Journal Article
OWEN, M.M., WONG, L.S., ACHUKWU, E.O., SHUIB, S. and AKIL, H.M. 2024. Finite element analysis of stress distribution in alkali-peroxide treated epoxy composites with various woven cotton structures. Journal of natural fibers [online], 21(1), article number 2434657. Available from: https://doi.org/10.1080/15440478.2024.2434657

The poor surface properties of woven epoxy-cotton composite structures have limited their use in industrial applications. Existing solutions using single treatment processes have been developed to address the challenges but have recorded appreciable... Read More about Finite element analysis of stress distribution in alkali-peroxide treated epoxy composites with various woven cotton structures..

Living in post-Brexit Britain during the pandemic: how did it feel for EU citizens? (2024)
Journal Article
RUGGERONE, L. and HACKETT, C. 2024. Living in post-Brexit Britain during the pandemic: how did it feel for EU citizens? Visual studies [online], Ahead of Print. Available from: https://doi.org/10.1080/1472586X.2024.2428157

In the visual essay, we present the images produced by participants during a study on the effects of the Coronavirus pandemic and Brexit on the emotions and feelings of middle-aged European citizens. The study was conducted using an art-based method... Read More about Living in post-Brexit Britain during the pandemic: how did it feel for EU citizens?.

Comparative analysis of mechanical response in epoxy nanocomposites reinforced with MXene and other carbon-based nano-fillers: an experimental and numerical study. (2024)
Journal Article
SAHARUDIN, M.S., HASBI, S., AHMAD, E.Z., SAGAR, S., DAOUSH, W.M. and INAM, F. 2024. Comparative analysis of mechanical response in epoxy nanocomposites reinforced with MXene and other carbon-based nano-fillers: an experimental and numerical study. Journal of advanced research in micro and nano engineering [online], 26(1), pages 54-65. Available from: https://doi.org/10.37934/armne.26.1.5465

This research introduces a finite element model tailored explicitly to assess the mechanical characteristics inherent in MXene/polymer nano-composite. The primary focus revolves around elucidating the performance attributes through numerical simulati... Read More about Comparative analysis of mechanical response in epoxy nanocomposites reinforced with MXene and other carbon-based nano-fillers: an experimental and numerical study..

Long COVID in healthcare workers: longitudinal mixed-methods study. (2024)
Journal Article
GRANT, A., ADAMS, N.N., MACIVER, E., SKÅTUN, D., SCOTT, N., KENNEDY, C., DOUGLAS, F., HERNANDEZ-SANTIAGO, V. and TORRANCE, N. [2024]. Long COVID in healthcare workers: longitudinal mixed-methods study. Occupational medicine [online], Advance Articles. Available from: https://doi.org/10.1093/occmed/kqae113

Healthcare workers (HCWs) report higher rates of Long COVID (LC) than other occupational groups. It is still unclear whether LC is a lifelong condition. Workforce shortfalls are apparent due to sick leave, reduced hours, and lower productivity. To in... Read More about Long COVID in healthcare workers: longitudinal mixed-methods study..

We go hunting...: understanding experiences of people living with obesity and food insecurity when shopping for food in the supermarket to meet their weight-related goals. (2024)
Journal Article
HUNTER, E., STONE, R.A., BROWN, A., HARDMAN, C.A., JOHNSTONE, A.M., GREATWOOD, H.C., DINEVA, M. and DOUGLAS, F. 2025. We go hunting...: understanding experiences of people living with obesity and food insecurity when shopping for food in the supermarket to meet their weight-related goals. Appetite [online], 205, article number 107794. Available from: https://doi.org/10.1016/j.appet.2024.107794

The high prevalence of food insecurity in the United Kingdom has been exacerbated by the cost-of-living crisis. In high-income countries, those experiencing food insecurity struggle to buy and consume foods that meet Government healthy eating recomme... Read More about We go hunting...: understanding experiences of people living with obesity and food insecurity when shopping for food in the supermarket to meet their weight-related goals..

Performance enhancement of a modified solar still with inverted pyramid aluminum basin geometry: experimental optimization, thermal and economic assessment. (2024)
Journal Article
DIAB, M.R., ROZZA, M., ALHOSARY, M., NASSAR, S., FAISAL, N., ELSHEIKH, A.H. and EGIZA, M. 2025. Performance enhancement of a modified solar still with inverted pyramid aluminum basin geometry: experimental optimization, thermal and economic assessment. Process safety and environmental protection [online], 193, pages 1173-1187. Available from: https://doi.org/10.1016/j.psep.2024.11.104

Desalination is a promising solution to address the global challenges of water scarcity and energy demand, aided by industrialization and population growth. This study explores the potential to enhance solar still performance by redesigning the basin... Read More about Performance enhancement of a modified solar still with inverted pyramid aluminum basin geometry: experimental optimization, thermal and economic assessment..

Event classification on subsea pipeline inspection data using an ensemble of deep learning classifiers. (2024)
Journal Article
DANG, T., NGUYEN, T.T., LIEW, A.W.-C. and ELYAN, E. 2025. Event classification on subsea pipeline inspection data using an ensemble of deep learning classifiers. Cognitive computation [online], 17(1), article 10. Available from: https://doi.org/10.1007/s12559-024-10377-y

Subsea pipelines are the backbone of the modern oil and gas industry, transporting a total of 28% of global oil production. Due to several factors, such as corrosion or deformations, the pipelines might degrade over time, which might lead to serious... Read More about Event classification on subsea pipeline inspection data using an ensemble of deep learning classifiers..

Development of a straightforward direct injection UHPLC-MS/MS method for quantification of plastic additive chemicals in roadside retention ponds. (2024)
Journal Article
MCKENZIE, K., PLLU, A., CAMPBELL, I., LAWTON, L.A. and PETRIE, B. [2024]. Development of a straightforward direct injection UHPLC-MS/MS method for quantification of plastic additive chemicals in roadside retention ponds. Analytical and bioanalytical chemistry [online], Latest Articles. Available from: https://doi.org/10.1007/s00216-024-05657-3

There is growing interest in road pollution that enters surface waters. Additive chemicals used in the manufacture of plastics, including tyre rubber, are mobile pollutants that pose a threat to aquatic life. Therefore, an ultra-high performance liqu... Read More about Development of a straightforward direct injection UHPLC-MS/MS method for quantification of plastic additive chemicals in roadside retention ponds..

Exploring the dynamics of socio-technical transitions: advancing grid-connected wind and solar energy adoption in Nigeria. (2024)
Journal Article
ADEDOKUN, R., STRACHAN, P.A., SINGH, A. and VON MALMBORG, F. 2025. Exploring the dynamics of socio-technical transitions: advancing grid-connected wind and solar energy adoption in Nigeria. Energy research and social science [online], 119, article number 103850. Available from: https://doi.org/10.1016/j.erss.2024.103850

Globally, countries are transitioning their national electricity grid system to meet the obligations of the Paris Agreement. National grid-connected renewable electricity provides an opportunity to reduce greenhouse gas emissions. Specifically, in a... Read More about Exploring the dynamics of socio-technical transitions: advancing grid-connected wind and solar energy adoption in Nigeria..

The United Nations Convention on the Rights of the Child (Incorporation) (Scotland) Act 2024: a legislative commentary. (2024)
Journal Article
MAK, C.H.W. 2024. The United Nations Convention on the Rights of the Child (Incorporation) (Scotland) Act 2024: a legislative commentary. Scots Law Times [online], 37, pages 262-264. Available from: http://legalresearch.westlaw.co.uk/

This article considers the background to, and implications of, the United Nations Convention of the Rights of the Child (Incorporation)(Scotland) Act 2024.

Aquatic therapy in children and adolescents with disabilities: a scoping review. (2024)
Journal Article
OGONOWSKA-SLODOWNIK, A., JAKOBOWICZ, O., ALEXANDER, L., MARINHO-BUZELLI, A.R., DEVION, C. and MORGULEC-ADAMOWICZ, N. 2024. Aquatic therapy in children and adolescents with disabilities: a scoping review. Children [online], 11(11), article number 1404. Available from: https://doi.org/10.3390/children11111404

Globally, around 1 in 10 children aged 0-17 years have moderate-to-severe disabilities. The aquatic environment provides hydrostatic and hydrodynamic characteristics that make exercise and therapy feasible for children and adolescents with disabiliti... Read More about Aquatic therapy in children and adolescents with disabilities: a scoping review..

Improved lithium battery state of health estimation and enhanced adaptive capacity of innovative kernel extreme learning machine optimized by multi-strategy dung beetle algorithm. (2024)
Journal Article
MO, D., WANG, S., ZHANG, M., FAN, Y., WU, W., FERNANDEZ, C. and SU, Q. [2024]. Improved lithium battery state of health estimation and enhanced adaptive capacity of innovative kernel extreme learning machine optimized by multi-strategy dung beetle algorithm. Ionics [online], Latest Articles. Available from: https://doi.org/10.1007/s11581-024-05914-6

Accurate estimation of the state of health (SOH) of lithium batteries is crucial to ensure the reliable and safe operation of lithium batteries. Aiming at the problems of low accuracy of extreme learning machine and poor mapping ability of convention... Read More about Improved lithium battery state of health estimation and enhanced adaptive capacity of innovative kernel extreme learning machine optimized by multi-strategy dung beetle algorithm..