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DPb-MOPSO: A Dynamic Pareto bi-level Multi-objective Particle Swarm Optimization Algorithm (2022)
Journal Article
Aboud, A., Rokbani, N., Fdhila, R., Qahtani, A. M., Almutiry, O., Dhahri, H., …Alimi, A. M. (2022). DPb-MOPSO: A Dynamic Pareto bi-level Multi-objective Particle Swarm Optimization Algorithm. Applied Soft Computing, 129, Article 109622. https://doi.org/

Particle Swarm Optimization (PSO) system based on the distributed architecture over multiple sub-swarms is very efficient for static multi-objective optimization but has not been considered for solving dynamic multi-objective problems (DMOPs). Tracki... Read More about DPb-MOPSO: A Dynamic Pareto bi-level Multi-objective Particle Swarm Optimization Algorithm.

Joint Effect of Heavy Vehicles and Diminished Light Conditions on Paediatric Pedestrian Injuries in Backover Crashes: A UK Population-Based Study (2022)
Journal Article
Wiratama, B. S., Hsu, L., Yeh, Y., Chen, C., Saleh, W., Liu, Y., & Pai, C. (2022). Joint Effect of Heavy Vehicles and Diminished Light Conditions on Paediatric Pedestrian Injuries in Backover Crashes: A UK Population-Based Study. International Journal of

Backover crashes cause considerable injuries especially among young children. Prior research on backover crashes has not assessed the joint effect of heavy vehicles and diminished light conditions on injuries. By analysing the United Kingdom STATS19... Read More about Joint Effect of Heavy Vehicles and Diminished Light Conditions on Paediatric Pedestrian Injuries in Backover Crashes: A UK Population-Based Study.

A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling (2022)
Journal Article
Comminiello, D., Nezamdoust, A., Scardapane, S., Scarpiniti, M., Hussain, A., & Uncini, A. (2023). A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling. IEEE Transactions on Systems, Man and Cybernetics: Systems, 53(3), 1384-1396. https

Nonlinear models are known to provide excellent performance in real-world applications that often operate in nonideal conditions. However, such applications often require online processing to be performed with limited computational resources. To addr... Read More about A New Class of Efficient Adaptive Filters for Online Nonlinear Modeling.

Scaffold Repurposing Reveals New Nanomolar Phosphodiesterase Type 5 (PDE5) Inhibitors Based on Pyridopyrazinone Scaffold: Investigation of In Vitro and In Silico Properties (2022)
Journal Article
Amin, K. M., El-Badry, O. M., Abdel Rahman, D. E., Abdellattif, M. H., Abourehab, M. A. S., El-Maghrabey, M. H., …Ammar, U. M. (2022). Scaffold Repurposing Reveals New Nanomolar Phosphodiesterase Type 5 (PDE5) Inhibitors Based on Pyridopyrazinone Scaffo

Inhibition of PDE5 results in elevation of cGMP leading to vascular relaxation and reduction in the systemic blood pressure. Therefore, PDE5 inhibitors are used as antihypertensive and antianginal agents in addition to their major use as male erectil... Read More about Scaffold Repurposing Reveals New Nanomolar Phosphodiesterase Type 5 (PDE5) Inhibitors Based on Pyridopyrazinone Scaffold: Investigation of In Vitro and In Silico Properties.

Correction of Evanescent Wave Influence on the Flexural Wave Velocity and Wavelength Estimation Based on a Mode Shape Function (2022)
Journal Article
Pantelić, F., Šumarac Pavlović, D., Mijić, M., & Ridley-Ellis, D. (2022). Correction of Evanescent Wave Influence on the Flexural Wave Velocity and Wavelength Estimation Based on a Mode Shape Function. Archives of Acoustics, 47(4), 539-546. https://do

The aim of this research is to use a simple acoustic method of a very near field recording, which enables measurement and display of oscillation modes, to estimate the velocity of flexural waves, based on the wavelengths of standing waves measured on... Read More about Correction of Evanescent Wave Influence on the Flexural Wave Velocity and Wavelength Estimation Based on a Mode Shape Function.

A Weighted and Normalized Gould–Fernandez brokerage measure (2022)
Journal Article
Zádor, Z., Zhu, Z., Smith, M., & Gorgoni, S. (2022). A Weighted and Normalized Gould–Fernandez brokerage measure. PLOS ONE, 17(9), Article e0274475. https://doi.org/10.1371/journal.pone.0274475

The Gould and Fernandez local brokerage measure defines brokering roles based on the group membership of the nodes from the incoming and outgoing edges. This paper extends on this brokerage measure to account for weighted edges and introduces the Wei... Read More about A Weighted and Normalized Gould–Fernandez brokerage measure.

An Evaluation of Ireland’s Sustainable Freight Transport Policy (2022)
Journal Article
Zhang, X., Plant, E., & Valantasis Kanellos, N. (2022). An Evaluation of Ireland’s Sustainable Freight Transport Policy. Logistics, 6(3), Article 65. https://doi.org/10.3390/logistics6030065

Background: The Irish government has put forth sustainable transport policy measures, yet the emphasis is mainly on the active travel and sustainable mobility for passenger transport. Contrariwise, freight transport has not received equal considerati... Read More about An Evaluation of Ireland’s Sustainable Freight Transport Policy.

A Few-Shot Learning Method for SAR Images Based on Weighted Distance and Feature Fusion (2022)
Journal Article
Gao, F., Xu, J., Lang, R., Wang, J., Hussain, A., & Zhou, H. (2022). A Few-Shot Learning Method for SAR Images Based on Weighted Distance and Feature Fusion. Remote Sensing, 14(18), Article 4583. https://doi.org/10.3390/rs14184583

Convolutional Neural Network (CNN) has been widely applied in the field of synthetic aperture radar (SAR) image recognition. Nevertheless, CNN-based recognition methods usually encounter the problem of poor feature representation ability due to insuf... Read More about A Few-Shot Learning Method for SAR Images Based on Weighted Distance and Feature Fusion.

An Autoethnography of “Making It” in Academia: Writing an ECR “Journey” of Facebook, Assemblage, Affect, and the Outdoors (2022)
Journal Article
Stanley, P. (2023). An Autoethnography of “Making It” in Academia: Writing an ECR “Journey” of Facebook, Assemblage, Affect, and the Outdoors. Journal of Contemporary Ethnography, 52(3), 404-431. https://doi.org/10.1177/08912416221120819

While much has been written to guide early career researchers (ECRs) and those charged with socializing them into academic ontologies, much less is known about ECRs’ own experiences of becoming academic. This article presents a narrative, new-materia... Read More about An Autoethnography of “Making It” in Academia: Writing an ECR “Journey” of Facebook, Assemblage, Affect, and the Outdoors.

CN32 Cancer nurses' experiences and perceptions of potential occupational exposure to cytotoxic drugs: Systematic review utilising framework analysis (2022)
Journal Article
Campbell, K., Afseth, J., & Dunham, M. (2022). CN32 Cancer nurses' experiences and perceptions of potential occupational exposure to cytotoxic drugs: Systematic review utilising framework analysis. Annals of Oncology, 33(suppl_7), S1362. https://doi.org/1

Background In the UK control of substances Hazardous to Health Regulations (COSHH) define chemotherapy as a hazardous substance. Therefore, it is imperative that employers assess the risk and take suitable precautions for their employees. The ‘Safe... Read More about CN32 Cancer nurses' experiences and perceptions of potential occupational exposure to cytotoxic drugs: Systematic review utilising framework analysis.

Classification of Skin Cancer Lesions Using Explainable Deep Learning (2022)
Journal Article
Zia Ur Rehman, M., Ahmed, F., Alsuhibany, S. A., Jamal, S. S., Zulfiqar Ali, M., & Ahmad, J. (2022). Classification of Skin Cancer Lesions Using Explainable Deep Learning. Sensors, 22(18), Article 6915. https://doi.org/10.3390/s22186915

Skin cancer is among the most prevalent and life-threatening forms of cancer that occur worldwide. Traditional methods of skin cancer detection need an in-depth physical examination by a medical professional, which is time-consuming in some cases. Re... Read More about Classification of Skin Cancer Lesions Using Explainable Deep Learning.

Cash Holding Dynamics and Competition Intensity: Evidence from UK firms (2022)
Journal Article
Adamolekun, G., Jones, E., & Li, H. (2023). Cash Holding Dynamics and Competition Intensity: Evidence from UK firms. Managerial and Decision Economics, 44(1), 641-662. https://doi.org/10.1002/mde.3705

Using a quasi-natural experiment and various measures of competition intensity, we examine whether an increase in product market competition is a key driver of firm cash holdings. We find that firms increase cash holdings when competition is intense.... Read More about Cash Holding Dynamics and Competition Intensity: Evidence from UK firms.

Leadership skills with classroom instruction integration in hospitality management higher education (2022)
Journal Article
Sisson, A. D., & Roberts, K. R. (2023). Leadership skills with classroom instruction integration in hospitality management higher education. Journal of Teaching in Travel and Tourism, 23(2), 208-228. https://doi.org/10.1080/15313220.2022.2123080

To move from the gap between industry and academia, educators must review and change instructional content to meet industry demands. By addressing the industry imperative for leadership skills, this exploratory study evaluates the most prominent lead... Read More about Leadership skills with classroom instruction integration in hospitality management higher education.

Federated Learning for Short-term Residential Load Forecasting (2022)
Journal Article
Briggs, C., Fan, Z., & Andras, P. (2022). Federated Learning for Short-term Residential Load Forecasting. IEEE Open Access Journal of Power and Energy, 9, 573-583. https://doi.org/10.1109/oajpe.2022.3206220

Load forecasting is an essential task performed within the energy industry to help balance supply with demand and maintain a stable load on the electricity grid. As supply transitions towards less reliable renewable energy generation, smart meters wi... Read More about Federated Learning for Short-term Residential Load Forecasting.

Need and baseline for harmonising nursing education in respiratory care: preliminary results of a global survey (2022)
Journal Article
Šajnić, A., Kelly, C., Smith, S., Heslop-Marshall, K., Axelsson, M., Padilha, J. M., …Narsavage, G. (2022). Need and baseline for harmonising nursing education in respiratory care: preliminary results of a global survey. Breathe, 18(3), Article 210172

Background: The COVID-19 pandemic confirmed that respiratory nurses are critical healthcare providers. Limited knowledge is available about appropriate education to prepare nurses to deliver high-quality respiratory care. A survey was developed by th... Read More about Need and baseline for harmonising nursing education in respiratory care: preliminary results of a global survey.

Consultation in out-of-hours practice: a clinical review of Lyme disease (2022)
Journal Article
Brydon, S., & MacVicar, S. (2022). Consultation in out-of-hours practice: a clinical review of Lyme disease. Journal of Prescribing Practice, 4(9), https://doi.org/10.12968/jprp.2022.4.9.396

In recent times, telephone triage and virtual consultation have been expedited in the out-of-hours urgent primary care setting. This brings challenges concerning gaining a comprehensive history and building a therapeutic relationship between nurse pr... Read More about Consultation in out-of-hours practice: a clinical review of Lyme disease.

Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement (2022)
Journal Article
Passos, L. A., Papa, J. P., Del Ser, J., Hussain, A., & Adeel, A. (2023). Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement. Information Fusion, 90, 1-11. https://doi.org/10.

This paper proposes a novel multimodal self-supervised architecture for energy-efficient audio-visual (AV) speech enhancement that integrates Graph Neural Networks with canonical correlation analysis (CCA-GNN). The proposed approach lays its foundati... Read More about Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement.

Narrative modelling: A comparison of high and low mass dwelling solutions in Afghanistan and Peru (2022)
Journal Article
Eltaweel, A., Kuchai, N., Albadra, D., Coley, D., Hart, J., Acevedo-De-los-Ríos, A., & Rondinel-Oviedo, D. R. (2023). Narrative modelling: A comparison of high and low mass dwelling solutions in Afghanistan and Peru. Building Services Engineering Researc

Displaced populations are housed in various constructions, including lightweight predesigned structures. Theoretically, self-built heavyweight structures should ensure better temperatures and be closer to cultural norms. To examine this directly for... Read More about Narrative modelling: A comparison of high and low mass dwelling solutions in Afghanistan and Peru.

Nonlinear response of RC columns subjected to equal energy-double impact loads (2022)
Journal Article
Tantrapongsaton, W., Hansapinyo, C., Limkatanyu, S., Zhang, H., & Vimonsatit, V. (2022). Nonlinear response of RC columns subjected to equal energy-double impact loads. Buildings, 12(9), Article 1420. https://doi.org/10.3390/buildings12091420

Defining the damage and deflection from the impact by using only the impact energy could be misleading due to the effect of the impact momentum. In addition, reinforced concrete columns might be subjected to repeated impact loading. Hence, this study... Read More about Nonlinear response of RC columns subjected to equal energy-double impact loads.