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Low-cost multiband four-port Phased array antenna for sub-6 GHz 5G applications with enhanced gain methodology in Radio-over-fiber systems using modulation instability (2024)
Journal Article
Zakeri, H., Azizpour, R., Khoddami, P., Moradi, G., Alibakhshikenari, M., See, C. H., Denidni, T. A., Falcone, F., Koziel, S., & Limiti, E. (2024). Low-cost multiband four-port Phased array antenna for sub-6 GHz 5G applications with enhanced gain methodology in Radio-over-fiber systems using modulation instability. IEEE Access, 12, 117787-117799. https://doi.org/10.1109/access.2024.3446313

Phased array antenna (PAA) technology is essential for applications requiring high gain and wide bandwidth, such as sensors, medical, and 5G. Achieving such a design, however, is a challenging and intricate process that calls for precise calculations... Read More about Low-cost multiband four-port Phased array antenna for sub-6 GHz 5G applications with enhanced gain methodology in Radio-over-fiber systems using modulation instability.

Thermophysical properties of tetrabutylammonium chloride, paraffin and fatty acids for thermal energy applications (2024)
Journal Article
Costa, T., Sanchez-Vicente, Y., Yang, Z., Stevens, L. A., Dias, F. D. S., & Costa Pereira, S.-C. (2024). Thermophysical properties of tetrabutylammonium chloride, paraffin and fatty acids for thermal energy applications. RSC Advances, 14(36), 26246-26258. https://doi.org/10.1039/d4ra03782k

Investigating the thermophysical properties of substances is crucial for using them as phase change materials (PCMs) and heat transfer fluids (HTFs) in thermal energy applications. In this study, the thermophysical properties of three medium-temperat... Read More about Thermophysical properties of tetrabutylammonium chloride, paraffin and fatty acids for thermal energy applications.

Assessing Self-Reported Prolonged Grief Disorder with ‘Clinical Checks’: A Proof of Principle Study (2024)
Journal Article
Shevlin, M., Hyland, P., Cloitre, M., Brewin, C., Martsenkovskyi, D., Ben-Ezra, M., Bondjers, K., Karatzias, T., Duffy, M., & Redican, E. (online). Assessing Self-Reported Prolonged Grief Disorder with ‘Clinical Checks’: A Proof of Principle Study. Journal of Traumatic Stress, https://doi.org/10.1002/jts.23100

Psychological assessment is commonly conducted using either self-report measures or clinical interviews; the former are quick and easy to administer, and the later are more time consuming and require training. Self-report measures have been criticise... Read More about Assessing Self-Reported Prolonged Grief Disorder with ‘Clinical Checks’: A Proof of Principle Study.

Make learning possible with Johnstone’s triangle (2024)
Digital Artefact
Short, D., & McGill, C. (2024). Make learning possible with Johnstone’s triangle. [Article]

Improve your students’ understanding of abstract ideas by explaining and linking the different levels of Johnstone’s triangle

Immobilised artificial membrane liquid chromatography vs liposome electrokinetic capillary chromatography: Suitability in drug/bio membrane partitioning studies and effectiveness in the assessment of the passage of drugs through the respiratory mucosa (2024)
Journal Article
Orzel, D., Ravald, H., Dillon, A., Rantala, J., Wiedmer, S. K., & Russo, G. (2024). Immobilised artificial membrane liquid chromatography vs liposome electrokinetic capillary chromatography: Suitability in drug/bio membrane partitioning studies and effectiveness in the assessment of the passage of drugs through the respiratory mucosa. Journal of Chromatography A, 1734, Article 465286. https://doi.org/10.1016/j.chroma.2024.465286

This study pioneers a comparison of the application of biomimetic techniques, immobilised artificial membrane liquid chromatography (IAM LC) and liposome electrokinetic capillary chromatography (LEKC), for the prediction of pulmonary drug permeabilit... Read More about Immobilised artificial membrane liquid chromatography vs liposome electrokinetic capillary chromatography: Suitability in drug/bio membrane partitioning studies and effectiveness in the assessment of the passage of drugs through the respiratory mucosa.

‘Social Persistence’, original painting based on visual arts-based tourism research selected for international exhibition, Now and Then: Visual Arts Scotland (VAS) Centenary Show (Part 2): Dalkeith Palace, Edinburgh (2024)
Exhibition / Performance
Todd, L. ‘Social Persistence’, original painting based on visual arts-based tourism research selected for international exhibition, Now and Then: Visual Arts Scotland (VAS) Centenary Show (Part 2): Dalkeith Palace, Edinburgh. [Oil on linen]. 17 August 2024 - 25 August 2024

Digital Twin-Empowered Integrated Satellite-Terrestrial Networks toward 6G Internet of Things (2024)
Journal Article
Bui, T. T., Nguyen, L. D., Canberk, B., Sharma, V., Dobre, O. A., & Shin, H. (online). Digital Twin-Empowered Integrated Satellite-Terrestrial Networks toward 6G Internet of Things. IEEE Communications Magazine, https://doi.org/10.1109/mcom.001.2300545

Integrated satellite-terrestrial networks (ISTNs) technology in the sixth generation (6G) wireless networks has been considered a promising candidate for global coverage and seamless connectivity for the Internet of things (IoT). However, integrating... Read More about Digital Twin-Empowered Integrated Satellite-Terrestrial Networks toward 6G Internet of Things.

Bioplastic Based Multifunctional Conductive Blend Nanocomposites (2024)
Book Chapter
Salehiyan, R., & Soleymani Eil Bakhtiari, S. (2024). Bioplastic Based Multifunctional Conductive Blend Nanocomposites. In Reference Module in Materials Science and Materials Engineering. Elsevier. https://doi.org/10.1016/b978-0-323-95486-0.00064-8

Bio-based plastics have become popular among researchers and industries due to their potential contributions towards a more sustainable environment. Up to date, there have been numerous studies around development of bioplastics and their future appli... Read More about Bioplastic Based Multifunctional Conductive Blend Nanocomposites.

An Interpretative Phenomenological Analysis exploring domestic abuse and football support: The role of supporter mood, sense of self, and family life (2024)
Preprint / Working Paper
Sime, P. J., & Murray, J. An Interpretative Phenomenological Analysis exploring domestic abuse and football support: The role of supporter mood, sense of self, and family life

The study aimed to investigate Scottish football (soccer) fans’ experiences of domestic abuse in relation to key matches. Key football matches, particularly ‘Old Firm’ matches in the Scottish context, attract considerable media attention, with major... Read More about An Interpretative Phenomenological Analysis exploring domestic abuse and football support: The role of supporter mood, sense of self, and family life.

Predation on Live and Artificial Insect Prey Shows Different Global Latitudinal Patterns (2024)
Journal Article
Zvereva, E., Adroit, B., Andersson, T., Barnett, C., Branco, S., Castagneyrol, B., Chiarenza, G., Dáttilo, W., del‐Val, E., Filip, J., Griffith, J., Hargreaves, A., Hernández‐Agüero, J., Silva, I., Hong, Y., Kietzka, G., Klimeš, P., Koistinen, M., Kruglova, O., Kumpula, S., …Kozlov, M. (2024). Predation on Live and Artificial Insect Prey Shows Different Global Latitudinal Patterns. Global Ecology and Biogeography, 33(11), Article e13899. https://doi.org/10.1111/geb.13899

Aim: Long‐standing theory predicts that the intensity of biotic interactions increases from high to low latitudes. Studies addressing geographic variation in predation on insect prey have often relied on prey models, which lack many characteristics o... Read More about Predation on Live and Artificial Insect Prey Shows Different Global Latitudinal Patterns.

Selective Integration: Navigating Challenges and Seizing Opportunities for Social Media Use in Teaching Across Disciplines (2024)
Book Chapter
Demeke, W. (2024). Selective Integration: Navigating Challenges and Seizing Opportunities for Social Media Use in Teaching Across Disciplines. In Transforming School Systems Through Assessment, Technology, and Non-Traditional Learning Methods (101-130). IGI Global. https://doi.org/10.4018/979-8-3693-8130-4.ch005

Social media's integration into higher education is profound, serving as a dynamic tool for enhancing teaching and learning processes. While social media platforms like YouTube and Instagram cater to both educational content and social connectivity,... Read More about Selective Integration: Navigating Challenges and Seizing Opportunities for Social Media Use in Teaching Across Disciplines.

Modern Studies Webinar - For Learners, Teachers and Student Teachers (2024)
Digital Artefact
Clayton, E., Gumulinska, I., & Foster, R. (2024). Modern Studies Webinar - For Learners, Teachers and Student Teachers. [Recorded webinar]

Webinar content prepared and recorded by our SCCJR project team for Modern Studies learners, teachers and student teachers in Scotland. We invited questions from Modern Studies learners, teachers and student teachers across Scotland and answered them... Read More about Modern Studies Webinar - For Learners, Teachers and Student Teachers.

Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices (2024)
Preprint / Working Paper
Watt, T., Chrysoulas, C., & Barclay, P. J. Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices

Image classification usually requires connectivity and access to the cloud which is often limited in many parts of the world, including hard to reach rural areas. TinyML aims to solve this problem by hosting AI assistants on constrained devices, elim... Read More about Moving Healthcare AI-Support Systems for Visually Detectable Diseases onto Constrained Devices.

A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs (2024)
Journal Article
Tmamna, J., Fourati, R., Ayed, E. B., Passos, L. A., Papa, J. P., Ayed, M. B., & Hussain, A. (2024). A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs. Neurocomputing, 608, Article 128378. https://doi.org/10.1016/j.neucom.2024.128378

Deep Convolutional Neural Networks (CNNs), continue to demonstrate remarkable performance across various tasks. However, their computational demands and energy consumption present significant drawbacks, restricting their practical deployment and cont... Read More about A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs.

Resisting the gendered categorisation of Computing and Engineering (2024)
Presentation / Conference Contribution
Taylor-Smith, E., & Smith, S. (2024, December). Resisting the gendered categorisation of Computing and Engineering. Paper presented at 2024 SRHE International Research Conference, Nottingham

As information infrastructures increasingly shape decisions that affect us, especially through the undertow of artificial intelligence, it is essential that women and gender minorities are well-represented across computing and engineering. However, t... Read More about Resisting the gendered categorisation of Computing and Engineering.

Activity theory analysis of training for workplace mentors in apprenticeship degrees (2024)
Presentation / Conference Contribution
Taylor-Smith, E., & Smith, S. (2024, December). Activity theory analysis of training for workplace mentors in apprenticeship degrees. Paper presented at 2024 SRHE International Research Conference, Nottingham

Apprenticeship degrees bring the radical possibility of higher education without debt. They also require taking learning off-campus and into the workplace, collaborating with employers on credit-bearing workplace learning, inclusion, and widening acc... Read More about Activity theory analysis of training for workplace mentors in apprenticeship degrees.

Reinforcement Q-Learning for PDF Tracking Control of Stochastic Systems with Unknown Dynamics (2024)
Journal Article
Yang, W., Zhou, Y., Zhang, Y., & Ren, Y. (2024). Reinforcement Q-Learning for PDF Tracking Control of Stochastic Systems with Unknown Dynamics. Mathematics, 12(16), Article 2499. https://doi.org/10.3390/math12162499

Tracking control of the output probability density function presents significant challenges, particularly when dealing with unknown system models and multiplicative noise disturbances. To address these challenges, this paper introduces a novel tracki... Read More about Reinforcement Q-Learning for PDF Tracking Control of Stochastic Systems with Unknown Dynamics.

A non-linear Lasso and explainable LSTM approach for estimating tail risk interconnectedness (2024)
Journal Article
De, T. S., Karthikeya, M., & Bhattacharya, S. (online). A non-linear Lasso and explainable LSTM approach for estimating tail risk interconnectedness. Applied Economics, https://doi.org/10.1080/00036846.2024.2385747

Tail risk inter-connectivity is a significant aspect and a risk indicator that should be focused on. Many of the previous works have shown potential non-linearity in tail risk contagion. With the recent advancements in deep learning, Long-Short Term... Read More about A non-linear Lasso and explainable LSTM approach for estimating tail risk interconnectedness.

“It’s been a hard year”: How families who have children with disabilities and chronic health conditions experience the COVID-19 pandemic (2024)
Journal Article
Sterman, J., & Merighi, J. (2024). “It’s been a hard year”: How families who have children with disabilities and chronic health conditions experience the COVID-19 pandemic. Children and Youth Services Review, 164, Article 107858. https://doi.org/10.1016/j.childyouth.2024.107858

Background
Families of children with disabilities and chronic health conditions experience unique challenges associated with school, therapies, and social supports. However, little is known about the COVID-19 pandemic’s influence on these families.... Read More about “It’s been a hard year”: How families who have children with disabilities and chronic health conditions experience the COVID-19 pandemic.