All Outputs (416)

Industry-led standards, relational contracts and good faith: are the UK and Australia setting the pace in (construction) contract law? (2022)
Journal Article
CHRISTIE, D., SAINTIER, S. and VIVEN-WILKSCH, J. 2022. Industry led standards, relational contracts and good faith: are the UK and Australia setting the pace in (construction) contract law? Liverpool law review [online], 43(2), pages 287-310. Available from: https://doi.org/10.1007/s10991-022-09307-5

The law of contract is changing. "Good faith" and “relational contracts” are used by parties more than ever before in commercial disputes. Yet, their definition and what it really means to act in good faith are still unsettled in the UK and Australia... Read More about Industry-led standards, relational contracts and good faith: are the UK and Australia setting the pace in (construction) contract law?.

An effective communication and computation model based on a hybridgraph-deeplearning approach for SIoT. (2022)
Journal Article
MEKALA, M.S., SRIVASTAVA, G., PARK, J.H. and JUNG, H.-Y. 2022. An effective communication and computation model based on a hybridgraph-deeplearning approach for SIoT. Digital communications and networks [online], 8(6), pages 900-910. Available from: https://doi.org/10.1016/j.dcan.2022.07.004

Social Edge Service (SES) is an emerging mechanism in the Social Internet of Things (SIoT) orchestration for effective user-centric reliable communication and computation. The services are affected by active and/or passive attacks such as replay atta... Read More about An effective communication and computation model based on a hybridgraph-deeplearning approach for SIoT..

The radiography students' perspective of the impact of COVID-19 on education and training internationally: a across sectional survey of the UK Devolved Nations (UKDN) and the United Arab Emirates (UAE). (2022)
Journal Article
ELSHAMI, W., ABUZAID, M.M., MCCONNELL, J., STEWART, S., FLOYD, M., HUGHES, D., MCCLINTICK, C., ECKLOFF, K., LEISHMAN, L. and MCFADDEN, S. 2022. The radiography students' perspective of the impact of COVID-19 on education and training internationally: a across sectional survey of the UK Devolved Nations (UKDN) and the United Arab Emirates (UAE). Radiography [online], 28(Supplement 1), pages S50-S58). Available from: https://doi.org/10.1016/j.radi.2022.07.009

The overnight change in hospital practice and service delivery during the COVID-19 pandemic raises the question whether undergraduate radiography students received an adequate clinical experience. Many students had their clinical placements cancelled... Read More about The radiography students' perspective of the impact of COVID-19 on education and training internationally: a across sectional survey of the UK Devolved Nations (UKDN) and the United Arab Emirates (UAE)..

Carbon nanotubes after 30 years of research, development and commercialisation. (2022)
Journal Article
SAHARUDIN, M.S., SAGAR IQBAL, S. and INAM, F. [2022]. Carbon nanotubes after 30 years of research, development and commercialisation. Nanomedicine and nanotechnology journal [online], Rapid Release. Available from: https://www.scientificliterature.org/Nanomedicine/Nanomedicine-22-131.pdf

The commentary discusses the last three decades of research, development and successful commercialisation of Carbon Nanotubes (CNTs) and their related composites. Whilst the number of publications are on the decline and despite of major technical cha... Read More about Carbon nanotubes after 30 years of research, development and commercialisation..

Physical activity and antibody persistence 6 months after the second dose of CoronaVac in immunocompromised patients. (2022)
Journal Article
GUALANO, B., LEMES, Í.R., PIRES DA SILVA, R. et al. 2022. Physical activity and antibody persistence 6 months after the second dose of CoronaVac in immunocompromised patients. Scandinavian journal of medicine and science in sports [online], 32(10), pages 1510-1515. Available from: https://doi.org/10.1111/sms.14213

This prospective cohort study within an open-label, single-arm, phase 4 vaccination trial (clinicaltrials.gov #NCT04754698) aimed to investigate the association between physical activity and persistent anti-SARS-CoV-2 antibodies 6 months after two-do... Read More about Physical activity and antibody persistence 6 months after the second dose of CoronaVac in immunocompromised patients..

Reliability of spatial-temporal metrics used to assess collective behaviours in football: an in-silico experiment. (2022)
Journal Article
CORSIE, M. and SWINTON, P.A. 2023. Reliability of spatial-temporal metrics used to assess collective behaviours in football: an in-silico experiment. Science and medicine in football [online], 7(3), pages 297-305. Available from: https://doi.org/10.1080/24733938.2022.2100460

The purpose of this study was to investigate the reliability of spatial-temporal measurements applied within collective behaviour research in football. In-silico experiments were conducted introducing positional errors (0.5, 2 and 4 m) representative... Read More about Reliability of spatial-temporal metrics used to assess collective behaviours in football: an in-silico experiment..

International, multi-disciplinary, cross-section study of pain knowledge and attitudes in nursing, midwifery and allied health professions students. (2022)
Journal Article
MANKELOW, J., RYAN, C.G., TAYLOR, P.C. et al. 2022. International, multi-disciplinary, cross-section study of pain knowledge and attitudes in nursing, midwifery and allied health professions students. BMC medical education [online], 22, article 547. Available from: https://doi.org/10.1186/s12909-022-03488-3

Persistent pain is a highly prevalent, global cause of disability. Research suggests that many healthcare professionals are not well equipped to manage pain and that this may be attributable at least in part to undergraduate education. The primary ai... Read More about International, multi-disciplinary, cross-section study of pain knowledge and attitudes in nursing, midwifery and allied health professions students..

Nondestructive detection and grading of flesh translucency in pineapples with visible and near-infrared spectroscopy. (2022)
Journal Article
XU, S., REN, J., LU, H., WANG, X., SUN, X. and LIANG, X. 2022. Nondestructive detection and grading of flesh translucency in pineapples with visible and near-infrared spectroscopy. Postharvest biology and technology [online], 192, article 112029. Available from: https://doi.org/10.1016/j.postharvbio.2022.112029

Rapid, accurate, and nondestructive internal quality detection for large and rough surface fruit, such as translucency in pineapples, is challenging. In this paper, a visible and near infrared (VIS/NIR) spectrum-based platform is proposed for optimiz... Read More about Nondestructive detection and grading of flesh translucency in pineapples with visible and near-infrared spectroscopy..

Unsteady squeezing flow of a magnetized dissipative non-Newtonian nanofluid with radiative heat transfer and Fourier-type boundary conditions: numerical study. (2022)
Journal Article
UMAVATHI, J.C., VAJRAVELU, K., BÉG, O.A. and KHAN, U.F. 2022. Unsteady squeezing flow of a magnetized dissipative non-Newtonian nanofluid with radiative heat transfer and Fourier-type boundary conditions: numerical study. Archive of applied mechanics [online], 92(8), pages 2695-2711. Available from: https://doi.org/10.1007/s00419-022-02211-4

Improved thermal management in high-temperature tribological systems requires novel developments in lubricants. Motivated by combining nanoparticle and magnetorheological plastomer features, this research paper deals with the analysis of the high-tem... Read More about Unsteady squeezing flow of a magnetized dissipative non-Newtonian nanofluid with radiative heat transfer and Fourier-type boundary conditions: numerical study..

Battery hysteresis compensation modeling and state-of-charge estimation adaptive to time-varying ambient temperature conditions. (2022)
Journal Article
SHI, H., WANG, S., FERNANDEZ, C., HUANG, J., XU, W. and WANG, L. 2022. Battery hysteresis compensation modeling and state-of-charge estimation adaptive to time-varying ambient temperature conditions. International journal of energy research [online], 46(12), pages 17096-17112. Available from: https://doi.org/10.1002/er.8373

Temperature and cell hysteretic effects are two major factors that influence the reliability and safety in long-term management of battery-integrated systems. In this paper, a hysteresis-compensated electrical characteristic model is established to t... Read More about Battery hysteresis compensation modeling and state-of-charge estimation adaptive to time-varying ambient temperature conditions..

The concentration and biomagnification of PCBs and PBDEs across four trophic levels in a marine food web. (2022)
Journal Article
MADGETT, A.S., YATES, K., WEBSTER, L., MCKENZIE, C., BROWNLOW, A. and MOFFAT, C.F. 2022. The concentration and biomagnification of PCBs and PBDEs across four trophic levels in a marine food web. Environmental pollution [online], 309, article number 119752. Available from: https://doi.org/10.1016/j.envpol.2022.119752

Contracting Parties to the OSPAR Convention for the Protection of the Maine Environment of the North-East Atlantic are required to undertake monitoring and assessment of both inorganic and organic contaminants. There is a requirement to assess contam... Read More about The concentration and biomagnification of PCBs and PBDEs across four trophic levels in a marine food web..

Korea’s national approach to Open Science: present and possible future. (2022)
Journal Article
SHMAGUN, H., SHIM, J., CHOI, K.-N., SHIN, S.K., KIM, J. and OPPENHEIM, C. 2022. Korea's national approach to Open Science: present and possible future. Journal of information science [online], OnlineFirst. Available from: https://doi.org/10.1177/01655515221107336

Open Science (OS) – an emerging global trend driven by advances in digital technologies and government's commitment to greater transparency and value for money of publicly funded research – is at its early stages, even in countries with high R&D expe... Read More about Korea’s national approach to Open Science: present and possible future..

Fusion methods for face presentation attack detection. (2022)
Journal Article
ABDULLAKUTTY, F., JOHNSTON, P. and ELYAN, E. 2022. Fusion methods for face presentation attack detection. Sensors [online], 22(14): soft sensors 2021-2022, article 5196. Available from: https://doi.org/10.3390/s22145196

Face presentation attacks (PA) are a serious threat to face recognition (FR) applications. These attacks are easy to execute and difficult to detect. An attack can be carried out simply by presenting a video, photo, or mask to the camera. The literat... Read More about Fusion methods for face presentation attack detection..

Impact of the MTHFR C677T polymorphism on blood pressure and related central hemodynamic parameters in healthy adults. (2022)
Journal Article
ROONEY, M., HUGHES, C.F., STRAIN, J.J., CLEMENTS, M., MCNULTY, H. and WARD, M. 2022. Impact of the MTHFR C677T polymorphism on blood pressure and related central haemodynamic parameters in healthy adults. Journal of human nutrition and dietetics [online], 35(4): gene-environment interactions in human health, pages 689-700. Available from: https://doi.org/10.1111/jhn.13061

Background: The C677T polymorphism in the gene-encoding methylenetetrahydrofolate reductase (MTHFR) is associated with an increased risk of hypertension and cardiovascular disease. Riboflavin, the MTHFR cofactor, is an important modulator of blood pr... Read More about Impact of the MTHFR C677T polymorphism on blood pressure and related central hemodynamic parameters in healthy adults..

An artificial neural network algorithm to retrieve chlorophyll a for Northwest European shelf seas from top of atmosphere ocean colour reflectance. (2022)
Journal Article
HADJAL, M., MEDINA-LOPEZ, E., REN, J., GALLEGO, A. and MCKEE, D. 2022. An artificial neural network algorithm to retrieve chlorophyll a for Northwest European shelf seas from top of atmosphere ocean colour reflectance. Remote sensing [online], 14(14), article 3353. Available from: https://doi.org/10.3390/rs14143353

Chlorophyll-a (Chl) retrieval from ocean colour remote sensing is problematic for relatively turbid coastal waters due to the impact of non-algal materials on atmospheric correction and standard Chl algorithm performance. Artificial neural networks (... Read More about An artificial neural network algorithm to retrieve chlorophyll a for Northwest European shelf seas from top of atmosphere ocean colour reflectance..

Providing a roadmap for future research agenda: a bibliometric literature review of sustainability performance reporting (SPR). (2022)
Journal Article
OSOBAJO, O.A., OKE, A., LAWANI, A., OMOTAYO, T.S., NDUBUKA-MCCALLUM, N. and OBI, L. 2022. Providing a roadmap for future research agenda: a bibliometric literature review of sustainability performance reporting (SPR). Sustainability [online], 14(14), article number 8523. Available from: https://doi.org/10.3390/su14148523

The concept of sustainability reporting is now an essential tool, through which organisations demonstrate accountability to their stakeholders. The increasing market pressure, coupled with the awareness of the consequences of organisations' activitie... Read More about Providing a roadmap for future research agenda: a bibliometric literature review of sustainability performance reporting (SPR)..

A critical review of improved deep convolutional neural network for multi-timescale state prediction of lithium-ion batteries. (2022)
Journal Article
WANG, S., REN, P., TAKYI-ANINAKWA, P., JIN, S. and FERNANDEZ, C. 2022. A critical review of improved deep convolutional neural network for multi-timescale state prediction of lithium-ion batteries. Energies [online], 15(14), article 5053. Available from: https://doi.org/10.3390/en15145053

Lithium-ion batteries are widely used as effective energy storage and have become the main component of power supply systems. Accurate battery state prediction is key to ensuring reliability and has significant guidance for optimizing the performance... Read More about A critical review of improved deep convolutional neural network for multi-timescale state prediction of lithium-ion batteries..

Autoencoder based consensus mechanism for blockchain-enabled industrial Internet of Things. (2022)
Journal Article
ARIFEEN, M., GHOSH, T., ISLAM, R., ASHIQUZZAMAN, A., YOON, J. and KIM, J. 2022. Autoencoder based consensus mechanism for blockchain-enabled industrial Internet of Things. Internet of things [online], 19, article 100575. Available from: https://doi.org/10.1016/j.iot.2022.100575

Conventional blockchain technologies developed for cryptocurrency applications involve complex consensus algorithms which are not suitable for resource constrained Internet of Things (IoT) devices. Therefore, several lightweight consensus mechanisms... Read More about Autoencoder based consensus mechanism for blockchain-enabled industrial Internet of Things..

A novel band selection and spatial noise reduction method for hyperspectral image classification. (2022)
Journal Article
FU, H., ZHANG, A., SUN, G., REN, J., JIA, X., PAN, Z. and MA, H. 2022. A novel band selection and spatial noise reduction method for hyperspectral image classification. IEEE transactions on geoscience and remote sensing [online], 60, article 5535713. Available from: https://doi.org/10.1109/TGRS.2022.3189015

As an essential reprocessing method, dimensionality reduction (DR) can reduce the data redundancy and improve the performance of hyperspectral image (HSI) classification. A novel unsupervised DR framework with feature interpretability, which integrat... Read More about A novel band selection and spatial noise reduction method for hyperspectral image classification..

Deep transfer learning on the aggregated dataset for face presentation attack detection. (2022)
Journal Article
ABDULLAKUTTY, F., ELYAN, E., JOHNSTON, P. and ALI-GOMBE, A. 2022. Deep transfer learning on the aggregated dataset for face presentation attack detection. Cognitive computation [online], 14(6), pages 2223-2233. Available from: https://doi.org/10.1007/s12559-022-10037-z

Presentation attacks are becoming a serious threat to one of the most common biometric applications, namely face recognition (FR). In recent years, numerous methods have been presented to detect and identify these attacks using publicly available dat... Read More about Deep transfer learning on the aggregated dataset for face presentation attack detection..