All Outputs (598)

Patient and public perspectives of involvement in cardiovascular research in Scotland, UK. A report of the NHS Research Scotland Heart Engagement And Research Talks (2024)
Journal Article
Mchale, S., Pearsons, A., Hanson, C., Mcauley, M., Simpson, M., Porteous, C., Irvine, V., Houston, R., Henderson, P., & Neubeck, L. (in press). Patient and public perspectives of involvement in cardiovascular research in Scotland, UK. A report of the NHS Research Scotland Heart Engagement And Research Talks. British Journal of Cardiology,

Background: Cardiovascular disease (CVD) is a leading cause of global mortality, necessitating extensive research efforts. In Scotland, the NHS Research Scotland (NRS) Cardiovascular Network plays a pivotal role in coordinating cardiovascular researc... Read More about Patient and public perspectives of involvement in cardiovascular research in Scotland, UK. A report of the NHS Research Scotland Heart Engagement And Research Talks.

Capturing Film Mixers’ Workflows (2024)
Journal Article
Shalabi, A., & McGregor, I. (2024). Capturing Film Mixers’ Workflows. Journal of the Audio Engineering Society, 72(9),

Cinema being a controlled medium can offer stakeholders reassurance and a certain level of predictability in terms of soundtrack reproduction. The television and streaming suite of standards and delivery specifications have been developed in order to... Read More about Capturing Film Mixers’ Workflows.

Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder (2024)
Journal Article
Hasan, M. N., Jan, S. U., & Koo, I. (2024). Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder. Applied Sciences, 14(17), Article 7717. https://doi.org/10.3390/app14177717

The Internet of Things (IoT) is witnessing a surge in sensor-equipped devices. The data generated by these IoT devices serve as a critical foundation for informed decision-making, real-time insights, and innovative solutions across various applicatio... Read More about Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder.

Securing IoT: Mitigating Sybil Flood Attacks with Bloom Filters and Hash Chains (2024)
Journal Article
Baird, I., Ghaleb, B., Wadhaj, I., Russell, G., & Buchanan, W. J. (2024). Securing IoT: Mitigating Sybil Flood Attacks with Bloom Filters and Hash Chains. Electronics, 13(17), Article 3467. https://doi.org/10.3390/electronics13173467

In the evolving landscape of the Internet of Things (IoT), ensuring the security and integrity of data transmission remains a paramount challenge. Routing Protocol for Low-Power and Lossy Networks (RPL) is commonly utilized in IoT networks to facili... Read More about Securing IoT: Mitigating Sybil Flood Attacks with Bloom Filters and Hash Chains.

Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning (2024)
Journal Article
Chen, S., Kirton-Wingate, J., Doctor, F., Arshad, U., Dashtipour, K., Gogate, M., Halim, Z., Al-Dubai, A., Arslan, T., & Hussain, A. (2024). Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning. IEEE Transactions on Fuzzy Systems, 32(10), 5400-5412. https://doi.org/10.1109/tfuzz.2024.3435050

It is estimated that by 2050 approximately one in ten individuals globally will experience disabling hearing impairment. In the presence of everyday reverberant noise, a substantial proportion of individual users encounter challenges in speech compre... Read More about Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning.

Digital solutions to optimize guideline-directed medical therapy prescription rates in patients with heart failure: a clinical consensus statement from the ESC Working Group on e-Cardiology, the Heart Failure Association of the European Society of Cardiology, the Association of Cardiovascular Nursing & Allied Professions of the European Society of Cardiology, the ESC Digital Health Committee, the ESC Council of Cardio-Oncology, and the ESC Patient Forum (2024)
Journal Article
Schuuring, M. J., Treskes, R. W., Castiello, T., Jensen, M. T., Casado-Arroyo, R., Neubeck, L., Lyon, A. R., Keser, N., Rucinski, M., Marketou, M., Lambrinou, E., Volterrani, M., & Hill, L. (online). Digital solutions to optimize guideline-directed medical therapy prescription rates in patients with heart failure: a clinical consensus statement from the ESC Working Group on e-Cardiology, the Heart Failure Association of the European Society of Cardiology, the Association of Cardiovascular Nursing & Allied Professions of the European Society of Cardiology, the ESC Digital Health Committee, the ESC Council of Cardio-Oncology, and the ESC Patient Forum. European Heart Journal – Digital Health, Article ztae064. https://doi.org/10.1093/ehjdh/ztae064

The 2021 European Society of Cardiology guideline on diagnosis and treatment of acute and chronic heart failure (HF) and the 2023 Focused Update include recommendations on the pharmacotherapy for patients with New York Heart Association (NYHA) class... Read More about Digital solutions to optimize guideline-directed medical therapy prescription rates in patients with heart failure: a clinical consensus statement from the ESC Working Group on e-Cardiology, the Heart Failure Association of the European Society of Cardiology, the Association of Cardiovascular Nursing & Allied Professions of the European Society of Cardiology, the ESC Digital Health Committee, the ESC Council of Cardio-Oncology, and the ESC Patient Forum.

The effect of electro blow spinning parameters on the characteristics of polylactic acid nanofibers: Towards green development of high-performance biodegradable membrane (2024)
Journal Article
Elnabawy, E., Sun, D., Shearer, N., & Shyha, I. (2024). The effect of electro blow spinning parameters on the characteristics of polylactic acid nanofibers: Towards green development of high-performance biodegradable membrane. Polymer, 311, Article 127553. https://doi.org/10.1016/j.polymer.2024.127553

Electro-blow spinning represents a novel and emerging hybridised technology for producing high-quality, large-scale nanofibers. The applied pressure, accompanied by an electric field, functions as a drafting force to generate ultrafine, homogeneous n... Read More about The effect of electro blow spinning parameters on the characteristics of polylactic acid nanofibers: Towards green development of high-performance biodegradable membrane.

Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites (2024)
Journal Article
Janjua, A. A., Younas, M., Ilyas, R. A., Shyha, I., Faisal, N. H., Inam, F., & Saharudin, M. S. (2024). Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites. Journal of Composites Science, 8(9), Article 340. https://doi.org/10.3390/jcs8090340

Dimethylformamide (DMF), a polar solvent, is commonly used for preparing graphene/epoxy nanocomposites. While previous research has commonly predominantly highlighted the improvement in physio-mechanical properties of these nanocomposites, the effect... Read More about Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites.

Forecasting throughput at a transshipment hub under trade dynamism and uncertainty in major production centers (2024)
Journal Article
Mudunkotuwa, R., Ji, M., Peiris, T. S. G., Bandara, Y. M., & Netirith, N. (online). Forecasting throughput at a transshipment hub under trade dynamism and uncertainty in major production centers. Maritime Economics and Logistics, https://doi.org/10.1057/s41278-024-00301-4

The demand for port services is intricately tied to international trade between production centers and the global market. This paper introduces a unique econometric forecasting model tailored to predict container port throughput at a transshipment hu... Read More about Forecasting throughput at a transshipment hub under trade dynamism and uncertainty in major production centers.

People with long-term conditions are more adherent to protective behaviours against infectious disease (2024)
Journal Article
Hubbard, G., Dixon, D., Johnston, M., & den Daas, C. (2024). People with long-term conditions are more adherent to protective behaviours against infectious disease. Public Health in Practice, 8, Article 100538. https://doi.org/10.1016/j.puhip.2024.100538

Objectives
To investigate the relationship between long-term condition (LTC) status and adherence to protective behaviours against infectious disease (face covering, physical distancing, hand hygiene).
Study design
Representative cross-sectional o... Read More about People with long-term conditions are more adherent to protective behaviours against infectious disease.

Charting sustainable urban development through a systematic review of SDG11 research (2024)
Journal Article
Almulhim, A. I., Sharifi, A., Aina, Y. A., Ahmad, S., Mora, L., Filho, W. L., & Abubakar, I. R. (2024). Charting sustainable urban development through a systematic review of SDG11 research. Nature Cities, 1(10), 677-685. https://doi.org/10.1038/s44284-024-00117-6

The Sustainable Development Goal (SDG) 11 underscores the imperative of creating inclusive, safe, resilient and sustainable cities and communities by 2030. Here we employ bibliometric techniques to assess the evolving landscape of SDG11 research. Usi... Read More about Charting sustainable urban development through a systematic review of SDG11 research.

Return and volatility connectedness between agricultural tokens and us equity sectors (2024)
Journal Article
Ali, A., Yousfi, M., Chughtai, S., & Min Du, A. (2024). Return and volatility connectedness between agricultural tokens and us equity sectors. Research in International Business and Finance, 72(Part B), 102544. https://doi.org/10.1016/j.ribaf.2024.102544

This study investigates the return and volatility interconnectedness between emerging digital assets, specifically agricultural tokens, and U.S. equity sectors using the TVP-VAR model. Analyzing data from August 7, 2020, to January 2, 2024, the findi... Read More about Return and volatility connectedness between agricultural tokens and us equity sectors.

Interplay between oil prices, country risks, and stock returns in the context of global conflict: A PVAR approach (2024)
Journal Article
Dong, Q., Du, Q., & Min Du, A. (2024). Interplay between oil prices, country risks, and stock returns in the context of global conflict: A PVAR approach. Research in International Business and Finance, 72(Part B), 102545. https://doi.org/10.1016/j.ribaf.2024.102545

Employing the panel vector autoregressive (PVAR) modeling, we analyze the interplay among oil prices, country risks, and stock returns across twenty-nine economies from February 2005 to August 2020. We find that, in the short run, rising oil prices t... Read More about Interplay between oil prices, country risks, and stock returns in the context of global conflict: A PVAR approach.

How Does the Digital Economy Affect the Green Transition: The Role of Industrial Intelligence and E-Commerce (2024)
Journal Article
Huang, C., Min Du, A., & Lin, B. (2025). How Does the Digital Economy Affect the Green Transition: The Role of Industrial Intelligence and E-Commerce. Research in International Business and Finance, 73(Part A), Article 102541. https://doi.org/10.1016/j.ribaf.2024.102541

As a new economic form, the digital economy (DE) significantly impacts green development. However, the impact of the DE on green total factor productivity (GTFP) remains controversial. A two-way fixed effect model is constructed to explore the impact... Read More about How Does the Digital Economy Affect the Green Transition: The Role of Industrial Intelligence and E-Commerce.

Trump’s fake news and stock market returns (2024)
Journal Article
Siganos, A. (online). Trump’s fake news and stock market returns. European Journal of Finance, https://doi.org/10.1080/1351847X.2024.2395927

We use a novel database that identifies allegedly Donald Trump’s fake news during his presidency. We find that the number of daily fake news is positively related to contemporaneous US stock market returns. Fake news is typically positively biased in... Read More about Trump’s fake news and stock market returns.

The Pointillist principle for variation operators and jump functions (2024)
Journal Article
Hughes, K. (online). The Pointillist principle for variation operators and jump functions. Revista de la Unión Matemática Argentina, https://doi.org/10.33044/revuma.4124

I extend the pointillist principles of Moon and Carrillo-de Guzmán to variational operators and jump functions. 1. The pointillist principle In [11], Moon observed that, for a sequence of sufficiently smooth convolution operators and any q ≥ 1, the w... Read More about The Pointillist principle for variation operators and jump functions.

Geometrical Features Based-mmWave UAV Path Loss Prediction Using Machine Learning for 5G and Beyond (2024)
Journal Article
Hussain, B., Bacha, S. F. N., Cheema, A. A., Canberk, B., & Duong, T. Q. (2024). Geometrical Features Based-mmWave UAV Path Loss Prediction Using Machine Learning for 5G and Beyond. IEEE Open Journal of the Communications Society, 5, 5667-5679. https://doi.org/10.1109/ojcoms.2024.3450089

Unmanned aerial vehicles (UAVs) are envisioned to play a pivotal role in modern telecommunication and wireless sensor networks, offering unparalleled flexibility and mobility for communication and data collection in diverse environments. This paper p... Read More about Geometrical Features Based-mmWave UAV Path Loss Prediction Using Machine Learning for 5G and Beyond.

Do Psychological Treatments for PTSD in Children and Young People Reduce Trauma- Related Appraisals? A Systematic Review and Meta-Analysis (2024)
Journal Article
Smith, C., Ford, C., Baldwin, G., Jensen, T. K., Karatzias, T., Skogbrott Birkeland, M., & Meiser-Stedman, R. (2024). Do Psychological Treatments for PTSD in Children and Young People Reduce Trauma- Related Appraisals? A Systematic Review and Meta-Analysis. Behaviour Research and Therapy, 182, Article 104621. https://doi.org/10.1016/j.brat.2024.104621

Research is increasingly highlighting the role of negative trauma-related appraisals in child and adolescent post-traumatic stress disorder (PTSD). The cognitive model of PTSD claims that an essential mechanism of treatment is a reduction in these ap... Read More about Do Psychological Treatments for PTSD in Children and Young People Reduce Trauma- Related Appraisals? A Systematic Review and Meta-Analysis.

Caught in the maze: Exploration of the ‘tourist trap’ phenomenon (2024)
Journal Article
Polus, R., Nautiyal, R., & Nautiyal, A. (2025). Caught in the maze: Exploration of the ‘tourist trap’ phenomenon. Tourism Management, 106, Article 105009. https://doi.org/10.1016/j.tourman.2024.105009

This research note explores the intricate nature of tourist traps, going beyond the prevalent negative stigma attached to them. While the term tourist trap is casually used, only a limited number of scholars have investigated the intricacies of this... Read More about Caught in the maze: Exploration of the ‘tourist trap’ phenomenon.

Defining non-inferiority margins in randomised controlled surgical trials: a protocol for a systematic review (2024)
Journal Article
Kuemmerli, C., Gallagher, I. J., Skipworth, R., & Laird, B. (2024). Defining non-inferiority margins in randomised controlled surgical trials: a protocol for a systematic review. BMJ Open, 14(8), Article e089587. https://doi.org/10.1136/bmjopen-2024-089587

Background: The reporting of randomised controlled non-inferiority (NI) drug trials is poor with less than 50% of published trials reporting a justification of the NI margin. This is despite the introduction of the Consolidated Standards of Reporting... Read More about Defining non-inferiority margins in randomised controlled surgical trials: a protocol for a systematic review.