All Outputs (720)

Assessing the impact of a national clinical guideline for the management of chronic pain on opioid prescribing rates: a controlled interrupted time series analysis. [Dataset]. (2022)
Dataset
HÉBERT, H.L., MORALES, D.R., TORRANCE, N.A., SMITH, B.H. and COLVIN, L.A. 2022. Assessing the impact of a national clinical guideline for the management of chronic pain on opioid prescribing rates: a controlled interrupted time series analysis. [Dataset]. Implementation science [online], 17(1), article number 77. Available from:https://implementationscience.biomedcentral.com/articles/10.1186/s13012-022-01251-2#Sec19

Trends in national and regional community opioid prescribing data for Scotland were analysed from quarter one (Q1) 2005 to Q2 2020. Interrupted time series regression examined the association of SIGN 136 publication with prescribing rates for opioid-... Read More about Assessing the impact of a national clinical guideline for the management of chronic pain on opioid prescribing rates: a controlled interrupted time series analysis. [Dataset]..

Assessing the impact of a national clinical guideline for the management of chronic pain on opioid prescribing rates: a controlled interrupted time series analysis. (2022)
Journal Article
HÉBERT, H.L., MORALES, D.R., TORRANCE, N.A., SMITH, B.H. and COLVIN, L.A. 2022. Assessing the impact of a national clinical guideline for the management of chronic pain on opioid prescribing rates: a controlled interrupted time series analysis. Implementation science [online], 17(1), article number 77. Available from: https://doi.org/10.1186/s13012-022-01251-2

Background: Opioids can be effective analgesics, but long-term use may be associated with harms. In 2013, the first national, comprehensive, evidence-based pain management guideline was published, from the Scottish Intercollegiate Guideline Network (... Read More about Assessing the impact of a national clinical guideline for the management of chronic pain on opioid prescribing rates: a controlled interrupted time series analysis..

Providing leadership through patients as partners: improving Australian colorectal survivorship care through perspectives from a nurse who became a cancer patient. (2022)
Journal Article
KRIEL, S.-A. and PATERSON, C. 2023. Providing leadership through patients as partners: improving Australian colorectal survivorship care through perspectives from a nurse who became a cancer patient. Seminars in oncology nursing [online], 39(1), article 151360. Available from: https://doi.org/10.1016/j.soncn.2022.151360

To provide contemporary real-world, real-life insights into gaps in supportive care experiences for people affected by colorectal cancer. For the first time, this article includes a patient as a coauthor, with the aim to identify future priorities to... Read More about Providing leadership through patients as partners: improving Australian colorectal survivorship care through perspectives from a nurse who became a cancer patient..

A chaotic firefly-particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance. (2022)
Journal Article
QIAO, J., WANG, S., YU, C., YANG, X. and FERNANDEZ, C. 2022. A chaotic firefly-particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance. Energy [online], 263(Part E), article 126164. Available from: https://doi.org/10.1016/j.energy.2022.126164

In this research, a novel dynamic migration model is proposed, which can better describe the dynamic characteristics of the lithium-ion batteries under different aging states by adjusting the battery parameters in real-time. A novel chaotic firefly -... Read More about A chaotic firefly-particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance..

An evaluation of the morphological, microstructural and mechanical behaviour of the glass fibre/HDPE thermoplastic composite pipe. (2022)
Presentation / Conference
OKOLIE, O., NJUGUNA, J. and FAISAL, N. 2022. An evaluation of the morphological, microstructural and mechanical behaviour of the glass fibre/HDPE thermoplastic composite pipe. Presented at 2022 Scottish Research Partnership in Engineering 2022, 21 November 2022, Edinburgh, UK.

Composite pipes are increasingly being used as an alternative solution to conventional metal-based pipes. This development is in response to significant corrosion failures with the metallic pipes and enables better decision making especially for the... Read More about An evaluation of the morphological, microstructural and mechanical behaviour of the glass fibre/HDPE thermoplastic composite pipe..

A qualitative systematic review on the application of the normalization of deviance phenomenon within high-risk industries. (2022)
Journal Article
SEDLAR, N., IRWIN, A., MARTIN, D. and ROBERTS, R. 2023. A qualitative systematic review on the application of the normalization of deviance phenomenon within high-risk industries. Journal of safety research [online], 84, pages 290-305. Available from: https://doi.org/10.1016/j.jsr.2022.11.005

The concept of normalization of deviance describes the gradual acceptance of deviant observations and practices. It is founded upon the gradual desensitization to risk experienced by individuals or groups who recurrently deviate from standard operati... Read More about A qualitative systematic review on the application of the normalization of deviance phenomenon within high-risk industries..

Leadership in cancer care: introduction. (2022)
Journal Article
PATERSON, C. 2023. Leadership in cancer care: introduction. Seminars in oncology nursing [online], 39(1), article 151359. Available from: https://doi.org/10.1016/j.soncn.2022.151359

It has been a distinct honor to lead Seminars in Oncology Nursing as the Editor-in-Chief throughout the COVID-19 pandemic and conclude my 3-year term with this special issue focused on leadership in oncology nursing. During my time of serving as the... Read More about Leadership in cancer care: introduction..

Enhancing the appearance of building integrated photovoltaics (BIPV) through the application of traditional symbols: a case study. (2022)
Journal Article
AWUKU, S.A., BENNADJI, A. MUHAMMAD-SUKKI, F. and SELLAMI, N. 2022. Enhancing the appearance of building integrated photovoltaics (BIPV) through the application of traditional symbols: a case study. AIP conference proceedings: proceedings of 3rd International conference on energy and power 2021 (ICEP 2021), 18-20 November 2021, Chiang Mai, Thailand [online], 2681, article 020050. Available from: https://doi.org/10.1063/5.0114941

Over the past years, advanced renewable technologies such as Building Integrated Photovoltaics (BIPV) has transformed to become more efficient, reliable, less costly and attractive. A migration to Net-Zero Energy Buildings (NZEB) and push for Green B... Read More about Enhancing the appearance of building integrated photovoltaics (BIPV) through the application of traditional symbols: a case study..

Manufacturing defects in thermoplastic composite pipes and their effect on the in-situ performance of thermoplastic composite pipes in oil and gas applications. (2022)
Journal Article
OKOLIE, O., LATTO, J., FAISAL, N., JAMIESON, H., MUKHERJI, A. and NJUGUNA, J. 2023. Manufacturing defects in thermoplastic composite pipes and their effect on the in-situ performance of thermoplastic composite pipes in oil and gas applications. Applied composite materials [online], 30(1), pages 231-306. Available from: https://doi.org/10.1007/s10443-022-10066-9

Thermoplastic composite pipes (TCP), which are a form of fibre reinforced thermoplastic pipes, have proven benefits such as being lightweight and non-corrosive. However, during manufacturing, certain defects are induced because of certain parameters,... Read More about Manufacturing defects in thermoplastic composite pipes and their effect on the in-situ performance of thermoplastic composite pipes in oil and gas applications..

Topology for preserving feature correlation in tabular synthetic data. (2022)
Conference Proceeding
ARIFEEN, M. and PETROVSKI, A. 2022. Topology for preserving feature correlation in tabular synthetic data. In Proceedings of the 15th IEEE (Institute of Electrical and Electronics Engineers) International conference on security of information and networks 2022 (SINCONF 2022), 11-13 November 2022, Sousse, Tunisia. Piscataway: IEEE [online], pages 61-66. Available from: https://doi.org/10.1109/SIN56466.2022.9970505

Tabular synthetic data generating models based on Generative Adversarial Network (GAN) show significant contributions to enhancing the performance of deep learning models by providing a sufficient amount of training data. However, the existing GAN-ba... Read More about Topology for preserving feature correlation in tabular synthetic data..

Exploring learning for on-campus students transitioning to online learning during the COVID-19 pandemic: perceptions of students in the higher education. (2022)
Journal Article
OSOBAJO, O.A. and OKE, A. 2022. Exploring learning for on-campus students transitioning to online learning during the COVID-19 pandemic: perceptions of students in the higher education. Education science [online], 12(11), article 807. Available from: https://doi.org/10.3390/educsci12110807

Due to the emergence of COVID-19, the education sector has embraced online learning as the main delivery method to engage and impact knowledge and skills acquisition of their students. However, learning is not just about knowledge and skills acquisit... Read More about Exploring learning for on-campus students transitioning to online learning during the COVID-19 pandemic: perceptions of students in the higher education..

Dynamic analysis of closed die electromagnetic sheet metal forming to predict deformation and failure of AA6061-T6 alloy using a fully coupled finite element model. (2022)
Journal Article
KHAN, Z., KHAN, M., YOOK, S.-J., KHAN, A., YOUNAS, M., ZAHIR, M.Z. and ASAD, M. 2022. Dynamic analysis of closed die electromagnetic sheet metal forming to predict deformation and failure of AA6061-T6 alloy using a fully coupled finite element model. Materials [online], 15(22), article 7997. Available from: https://doi.org/10.3390/ma15227997

This research presents a fully coupled 3D numerical model to analyse the dynamics of high-speed electromagnetic forming process for aluminium alloy AA6061-T6. The effect of Lorentz force distribution, velocity and kinetic energy on deformation, the b... Read More about Dynamic analysis of closed die electromagnetic sheet metal forming to predict deformation and failure of AA6061-T6 alloy using a fully coupled finite element model..

'Left behind' north of the border? Economic disadvantage and intersectional inequalities in post-pandemic Scotland. (2022)
Journal Article
MORRISON, J. 2022. 'Left behind' north of the border? Economic disadvantage and intersectional inequalities in post-pandemic Scotland. Scottish affairs [online], 31(4), pages 393-418. Available from: https://doi.org/10.3366/scot.2022.0428

UK media and political discourse has increasingly been dominated by concerns about the economic disadvantages experienced by post-industrial communities collectively labelled 'left behind' – and the deepening cultural fault-lines between them and wid... Read More about 'Left behind' north of the border? Economic disadvantage and intersectional inequalities in post-pandemic Scotland..

Novel improved particle swarm optimization-extreme learning machine algorithm for state of charge estimation of lithium-Ion batteries. (2022)
Journal Article
ZHANG, C., WANG, S., YU, C., XIE, Y. and FERNANDEZ, C. 2022. Novel improved particle swarm optimization-extreme learning algorithm for state of charge estimation of lithium-ion batteries. Industrial and engineering chemistry research [online], 61(46), pages 17209-17217. Available from: https://doi.org/10.1021/acs.iecr.2c02476

Incisively estimating the state of charge (SOC) of lithium-ion batteries is essential to ensure the safe and stable operation of a battery management system. Neural network methods do not depend on a specific lithium-ion battery model and are able to... Read More about Novel improved particle swarm optimization-extreme learning machine algorithm for state of charge estimation of lithium-Ion batteries..

Research on the state of charge estimation method of lithium-ion batteries based on novel limited memory multi-innovation least squares method and SDE-2-RC equivalent model. (2022)
Journal Article
CAO, J., WANG, S., XIE, Y. and FERNANDEZ, C. 2023. Research on the state of charge estimation method of lithium-ion batteries based on novel limited memory multi-innovation least squares method and SDE-2-RC equivalent model. International journal of circuit theory and applications [online], 51(4), pages 1902-1917. Available from: https://doi.org/10.1002/cta.3500/

Because of the common data redundancy phenomenon in the current least-squares parameter identification algorithm and the complex offline parameter identification process, this research innovatively proposes a Limited Memory Multi-Innovation Least Squ... Read More about Research on the state of charge estimation method of lithium-ion batteries based on novel limited memory multi-innovation least squares method and SDE-2-RC equivalent model..

Numerical prediction of the effect of thermal plume of a standing human on the airborne aerosol flow in a room: assessment of the social distancing rule. (2022)
Journal Article
HOSSAIN, M., CHINENYE-KANU, N., FAISAL, N.H., PRATHURU, A., ASIM, T. and BANIK, S. 2023. Numerical prediction of the effect of thermal plume of a standing human on the airborne aerosol flow in a room: assessment of the social distancing rule. Aerosol science and engineering [online], 7(1), pages 96-106. Available from: https://doi.org/https://doi.org/10.1007/s41810-022-00165-2

The purpose of the study is to investigate the dispersion of droplet nuclei/aerosol which are produced during coughing and continuous talking to quantify the risk of infection due to airborne disease transmission. A three-dimensional modelling of aer... Read More about Numerical prediction of the effect of thermal plume of a standing human on the airborne aerosol flow in a room: assessment of the social distancing rule..

I am hiding a ludicrous truth from future mental health nursing students. (2022)
Journal Article
WARRENDER, D. 2022. I am hiding a ludicrous truth from future mental health nursing students. Nursing times [online], 118(12), pages 17. Available from: https://www.nursingtimes.net/digital-edition/nursing-times-december-2022/

In 2018, the Nursing and Midwifery Council (NMC) published standards for pre-registration nursing programmes (NMC, 2018), shaped by its 'Future Nurse' standards for nurse proficiency. Prior to implementation, the Mental Health Nurse Academics UK (MHN... Read More about I am hiding a ludicrous truth from future mental health nursing students..

Digital condition monitoring for wider blue economy. (2022)
Presentation / Conference
HASAN, M.J., YAN, Y. and REN, J. 2022. Digital condition monitoring for wider blue economy. Presented at the 12th Annual science meeting of the Marine Alliance for Science and Technology for Scotland (MASTS ASM 2022), 8-10 November 2022, Glasgow, UK.

In the process of decommissioning energy systems, condition monitoring is crucial. It can make the health status of offshore oil and gas installations, pipelines, wind farms etc. transparent to policymakers and stakeholders, and aid them in creating... Read More about Digital condition monitoring for wider blue economy..

Forensic delay analysis as evidence of transaction costs in construction projects. (2022)
Journal Article
ATANASOV, V.A., GREENWOOD, D.J., ROSS, H. and SANCHEZ, D.E. 2022. Forensic delay analysis as evidence of transaction costs in construction projects. IOP conference series: earth and environmental science [online], 1101(5): planning, partnership, and law; selected papers from 2022 World building congress (WBC2022): building our future; informing practice to enhance the lives of current and future generations, 27-30 June 2022, Melbourne, Australia, article 052009. Available from: https://doi.org/10.1088/1755-1315/1101/5/052009

Construction projects are characterised by supply chains with multiple contracts and significant transaction costs. An example of these costs is to be found in the management of project delays. The operationalisation and measurement of transaction co... Read More about Forensic delay analysis as evidence of transaction costs in construction projects..

Where does stress happen? Ecological momentary assessment of daily stressors using a mobile phone app. (2022)
Presentation / Conference
YAO, X., JORDAN, E., NELSON, E., STAVRIANAKIS, K., HUANG, T.-Y. and MORAN, C. 2022. Where does stress happen? Ecological momentary assessment of daily stressors using a mobile phone app. Presented at the 2022 American Public Health Association annual meeting (APHA 2022), 6-9 November 2022, Boston, USA.

Despite the importance of daily stress to individuals' health and wellbeing, few studies have explored where stress happens in real time. As such, stress interventions rarely account for the environment in which stress occurs. We used ecological mome... Read More about Where does stress happen? Ecological momentary assessment of daily stressors using a mobile phone app. .