Skip to main content

Research Repository

Advanced Search

All Outputs (798)

Inequalities in children's mental health care: analysis of routinely collected data on prescribing and referrals to secondary care. (2023)
Journal Article
BALL, W.P., BLACK, C., GORDON, S., OSTROVSKA, B., PARANJOTHY, S., RASALAM, A., RITCHIE, D., ROWLANDS, H., RZEWUSKA, M., THOMPSON, E., WILDE, K. and BUTLER, J.E. 2023. Inequalities in children's mental health care: analysis of routinely collected data on prescribing and referrals to secondary care. BMC psychiatry [online], 23, article number 22. Available from: https://doi.org/10.1186/s12888-022-04438-5

One in eight children in the United Kingdom are estimated to have a mental health condition, and many do not receive support or treatment. The COVID-19 pandemic has negatively impacted mental health and disrupted the delivery of care. Prevalence of p... Read More about Inequalities in children's mental health care: analysis of routinely collected data on prescribing and referrals to secondary care..

RRP: a reliable reinforcement learning based routing protocol for wireless medical sensor networks. (2023)
Presentation / Conference Contribution
HAJAR, M.S., KALUTARAGE, H. and AL-KADRI, M.O. 2023. RRP: a reliable reinforcement learning based routing protocol for wireless medical sensor networks. In Proceedings of the 20th IEEE (Institute of Electrical and Electronics Engineers) Consumer communications and networking conference 2023 (CCNC 2023), 8-11 January 2023, Las Vegas, USA. Piscataway: IEEE [online], pages 781-789. Available from: https://doi.org/10.1109/CCNC51644.2023.10060225

Wireless medical sensor networks (WMSNs) offer innovative healthcare applications that improve patients' quality of life, provide timely monitoring tools for physicians, and support national healthcare systems. However, despite these benefits, widesp... Read More about RRP: a reliable reinforcement learning based routing protocol for wireless medical sensor networks..

A novel application of machine learning and zero-shot classification methods for automated abstract screening in systematic reviews. (2023)
Journal Article
MORENO-GARCIA, C.F., JAYNE, C., ELYAN, E. and ACEVES-MARTINS, M. 2023. A novel application of machine learning and zero-shot classification methods for automated abstract screening in systematic reviews. Decision analytics journal [online], 6, article 100162. Available from: https://doi.org/10.1016/j.dajour.2023.100162

Zero-shot classification refers to assigning a label to a text (sentence, paragraph, whole paper) without prior training. This is possible by teaching the system how to codify a question and find its answer in the text. In many domains, especially he... Read More about A novel application of machine learning and zero-shot classification methods for automated abstract screening in systematic reviews..

Implementing human factors in anaesthesia: guidance for clinicians, departments and hospitals: guidelines from the Difficult Airway Society and the Association of Anaesthetists. (2023)
Journal Article
KELLY, F.E., FRERK, C., BAILEY, C.R., COOK, T.M., FERGUSON, K., FLIN, R., FONG, K., GROOM, P., JOHN, C., LANG, A.R., MEEK, T., MILLER, K.L., RICHMOND, L., SEVDALIS, N. and STACEY, M.R. 2023. Implementing human factors in anaesthesia: guidance for clinicians, departments and hospitals: guidelines from the Difficult Airway Society and the Association of Anaesthetists. Anaesthesia [online], 78(4), pages 458-478. Available from: https://doi.org/10.1111/anae.15941

Human factors is an evidence-based scientific discipline used in safety critical industries to improve safety and worker well-being. The implementation of human factors strategies in anaesthesia has the potential to reduce the reliance on exceptional... Read More about Implementing human factors in anaesthesia: guidance for clinicians, departments and hospitals: guidelines from the Difficult Airway Society and the Association of Anaesthetists..

Human factors in anaesthesia: a narrative review. (2023)
Journal Article
KELLY, F.E., FRERK, C., BAILEY, C.R., COOK, T.M., FERGUSON, K., FLIN, R., FONG, K., GROOM, P., JOHN, C., LANG, A.R., MEEK, T., MILLER, K.L., RICHMOND, L., SEVDALIS, N. and STACEY, M.R. 2023. Human factors in anaesthesia: a narrative review. Anaesthesia [online], 78(4), pages 479-490. Available from: https://doi.org/10.1111/anae.15920

Healthcare relies on high levels of human performance, as described by the 'human as the hero' concept. However, human performance varies and is recognised to fall in high pressure situations, meaning that it is not a reliable method of ensuring safe... Read More about Human factors in anaesthesia: a narrative review..

The impact of COVID-19 on antimicrobial stewardship implementation in the United Arab Emirates hospitals: an exploration informed by the Consolidated Framework for Implementation Research (CFIR). [DUPHAT 2023 Poster] (2023)
Presentation / Conference Contribution
HASHAD, N., DEREK, S., PERUMAL, D., ABDULRAZZAQ, N., and TONNA, A. 2023. The impact of COVID-19 on antimicrobial stewardship implementation in the United Arab Emirates hospitals: an exploration informed by the Consolidated Framework for Implementation Research. Poster presented at the 29th Dubai international pharmaceutical and technologies conference and exhibition 2023 (DUPHAT 2023), 10-12 January 2023, Dubai, UAE.

The disruption caused by Coronavirus disease 2019 (COVID-19) on antimicrobial stewardship programmes (ASP) has been acknowledged and recognised.1 This study uses a theoretical qualitative approach to understand the impact of COVID-19 on ASP implement... Read More about The impact of COVID-19 on antimicrobial stewardship implementation in the United Arab Emirates hospitals: an exploration informed by the Consolidated Framework for Implementation Research (CFIR). [DUPHAT 2023 Poster].

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..

Hospital clinical pharmacists' perspectives on suboptimal pharmaceutical care: a qualitative study. [Preprint] (2023)
Preprint / Working Paper
MCLEAN, A., PAUDYAL, V., CUNNINGHAM, S. and STEWART, D. 2023. Hospital clinical pharmacists' perspectives on suboptimal pharmaceutical care: a qualitative study. Research square [online], 09 January 2023, Preprint (version 1). Available from: https://doi.org/10.21203/rs.3.rs-2411411/v1

While clinical pharmacists are responsible for medicines optimisation and provision of pharmaceutical care, there is a lack of literature focusing on what constitutes 'suboptimal' pharmaceutical care. To explore the perceptions and experiences of hos... Read More about Hospital clinical pharmacists' perspectives on suboptimal pharmaceutical care: a qualitative study. [Preprint].

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..

Study of spatial organisation of magnetic field directed gold-pickering-ferrofluid-nanoemulsion in spin coated film. [Dataset] (2023)
Data
OKPOZO, P. and PANCHOLI, K. 2023. Study of spatial organisation of magnetic field directed gold-pickering-ferrofluid-nanoemulsion in spin coated film. [Dataset]. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1848943

Aim is to study the spatial organisation of the magnetically directed gold pickering ferrofluid emulsion via spin coating. The magnetically directed self-assembly manufacturing technique was successfully applied by combining the magnetic field and sp... Read More about Study of spatial organisation of magnetic field directed gold-pickering-ferrofluid-nanoemulsion in spin coated film. [Dataset].

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..