All Outputs (370)

Reflecting on professional self-disclosure and supportive relationships with foster carers during the COVID-19 pandemic. (2023)
Journal Article
ARCHARD, P.J., MOORE, I., O'REILLY, M., MAJUMDER, P., WARRENDER, D., ADKINS, T. and TILBURY, E. 2023. Reflecting on professional self-disclosure and supportive relationships with foster carers during the COVID-19 pandemic. Mental health practice [online], 26(2). Available from: https://doi.org/10.7748/mhp.2023.e1623

Professional self-disclosure can be defined as a clinician revealing personal information about themselves to the person they are caring for. This article provides reflections from clinicians working in child and adolescent mental health services (CA... Read More about Reflecting on professional self-disclosure and supportive relationships with foster carers during the COVID-19 pandemic..

The impacts of multi-stakeholders collaboration on management and mitigation of oil pipeline disasters in Nigeria. (2023)
Journal Article
JOHNSON, F.I., LAING, R., BJEIRMI, B. and LEON, M. 2023. The impacts of multi-stakeholders collaboration on management and mitigation of oil pipeline disasters in Nigeria. AIMS environmental science [online], 10(1), pages 93-124. Available from: https://doi.org/10.3934/environsci.2023006

Pipeline disasters have caused large losses to Nigeria in terms of economic, ecological, and human lives. A single incident can have devastating consequences for the environment, individuals, and communities. Research to date has recommended the sign... Read More about The impacts of multi-stakeholders collaboration on management and mitigation of oil pipeline disasters in Nigeria..

Attention mechanism enhanced multi-layer edge perception network for deep semantic medical segmentation. (2023)
Journal Article
SUN, M., LI, P., REN, J. and WANG, Z. 2023. Attention mechanism enhanced multi-layer edge perception network for deep semantic medical segmentation. Cognitive computation [online], 15(1), pages 348-358. Available from: https://doi.org/10.1007/s12559-022-10094-4

Existing deep learning–based medical image segmentation methods have achieved gratifying progress, but they still suffer from the coarse boundaries with similar pixels of target. Because the boundary of medical images becomes blurred and the gradient... Read More about Attention mechanism enhanced multi-layer edge perception network for deep semantic medical segmentation..

Russian foreign investments at risk: why bring investment disputes relating to Russia to the Hong Kong International Arbitration Centre? (2023)
Journal Article
MAK, C.H.W. and LAI, R. 2023. Russian foreign investments at risk: why bring investment disputes relating to Russia to the Hong Kong International Arbitration Centre? Asian dispute review [online], 25(1), pages 27-33. Available from: https://kluwerlawonline.com/journalarticle/Asian+Dispute+Review/25.1/ADR2023005

This article discusses the proliferation of foreign investors seeking redress through arbitration as a result of the international sanctions imposed against Russia and special retaliatory economic counter-measures imposed against certain investors. I... Read More about Russian foreign investments at risk: why bring investment disputes relating to Russia to the Hong Kong International Arbitration Centre?.

Mechanisms used by multinational oil companies to derail human rights and environmental litigations arising from the Niger Delta. (2023)
Journal Article
OCHEI, N.V., EZEANI, E.C. and ANDERSON, C. 2023. Mechanisms used by multinational oil companies to derail human rights and environmental litigations arising from the Niger Delta. African journal of legal studies [online], 15(2), pages 185-214. Available from: https://doi.org/10.1163-17087384-bja10075

Multinational oil companies (MNOCs) usually claim that they have several obligations to protect human rights and the environment where they operate and to resolve any disputes with local communities arising from their operations in the shortest possi... Read More about Mechanisms used by multinational oil companies to derail human rights and environmental litigations arising from the Niger Delta..

Contributing factors to the development of shared understanding within football teams. (2023)
Journal Article
MALONE, M.K., LORD, R. and LORIMER, R. 2023. Contributing factors to the development of shared understanding within football teams. Soccer and society [online], 24(6), pages 865-882. Available from: https://doi.org/10.1080/14660970.2022.2161527

Shared understanding can be defined as two or more people thinking similarly in specific situations. Team members who share similar thoughts are positively related to an effective performance. Within team sports like football, shared understanding be... Read More about Contributing factors to the development of shared understanding within football teams..

Panchromatic and multispectral image fusion for remote sensing and earth observation: concepts, taxonomy, literature review, evaluation methodologies and challenges ahead. (2023)
Journal Article
ZHANG, K., ZHANG, F., WAN, W., YU, H., SUN, J., DEL SER, J., ELYAN, E. and HUSSAIN, A. 2023. Panchromatic and multispectral image fusion for remote sensing and earth observation: concepts, taxonomy, literature review, evaluation methodologies and challenges ahead. Information fusion [online], 93, pages 227-242. Available from: https://doi.org/10.1016/j.inffus.2022.12.026

Panchromatic and multispectral image fusion, termed pan-sharpening, is to merge the spatial and spectral information of the source images into a fused one, which has a higher spatial and spectral resolution and is more reliable for downstream tasks c... Read More about Panchromatic and multispectral image fusion for remote sensing and earth observation: concepts, taxonomy, literature review, evaluation methodologies and challenges ahead..

Study of spatial organisation of magnetic field directed gold-pickering-ferrofluid-nanoemulsion in spin coated film. (2023)
Journal Article
OKPOZO, P. and PANCHOLI, K. 2023. Study of spatial organisation of magnetic field directed gold-pickering-ferrofluid-nanoemulsion in spin coated film. Hybrid advances [online], 2, article 100018. Available from: https://doi.org/10.1016/j.hybadv.2023.100018

The magnetic field directed self-assembly of the nanoparticles is cheap, fast and easy method to prepare the patterned thin film useful for various applications. However, the dipole-dipole interaction between nanoparticles at the interface generates... Read More about Study of spatial organisation of magnetic field directed gold-pickering-ferrofluid-nanoemulsion in spin coated film..

A crime scene reconstruction for digital forensic analysis: an SUV case study. (2023)
Journal Article
NICHO, M., ALBLOOKI, M., ALMUTIWEI, S., MCDERMOTT, C.D. and ILESANMI, O. 2023. A crime scene reconstruction for digital forensic analysis: an SUV case study. International journal of digital crime and forensics [online], 15(1), 327358. Available from: https://doi.org/10.4018/IJDCF.327358

The abundance of digital data within modern vehicles makes digital vehicle forensics (DVF) a promising subfield of digital forensics (DF), with significant potential for investigations. In this research, the authors apply DVF methodology to a SUV, si... Read More about A crime scene reconstruction for digital forensic analysis: an SUV case study..

LDDNet: a deep learning framework for the diagnosis of infectious lung diseases. (2023)
Journal Article
PODDER, P., RANI DAS, S., MONDAL, M.R.H., BHARATI, S., MALIHA, A., HASAN, M.J. and PILTAN, F. 2023. LDDNet: a deep learning framework for the diagnosis of infectious lung diseases. Sensors [online], 23(1), article 480. Available from: https://doi.org/10.3390/s23010480

This paper proposes a new deep learning (DL) framework for the analysis of lung diseases, including COVID-19 and pneumonia, from chest CT scans and X-ray (CXR) images. This framework is termed optimized DenseNet201 for lung diseases (LDDNet). The pro... Read More about LDDNet: a deep learning framework for the diagnosis of infectious lung diseases..