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Considering Environmental Effects on Porous Concrete Applications: An Experimental Investigation (2024)
Journal Article
Marinelli, A., & Rasheed, L. P. H. (2024). Considering Environmental Effects on Porous Concrete Applications: An Experimental Investigation. Procedia Structural Integrity, 54, 332-339. https://doi.org/10.1016/j.prostr.2024.01.091

Urban areas worldwide grapple with ecological disruption due to overpopulation, exacerbated by impermeable concrete surfaces that hinder rainwater absorption, curb plant growth and foster urban heat islands. Innovative porous concrete applications we... Read More about Considering Environmental Effects on Porous Concrete Applications: An Experimental Investigation.

Career development for an ailing services superpower (2024)
Digital Artefact
Robertson, P. (2024). Career development for an ailing services superpower. [Blog]

This article summarises recent assessments of the UK economy, and suggests how career development services can make a contribution to economic recovery.

Women's Experiences with Cervical Cancer in Ghana (2024)
Journal Article
Dzando, G., Yabila, S., Kumah, A., Hukporti, N., Asante, D., Nwokonna, C., & Awiagah, S. K. (2024). Women's Experiences with Cervical Cancer in Ghana. Journal of Medicine, Surgery, and Public Health, 2, Article 100076. https://doi.org/10.1016/j.glmedi.202

Cervical cancer remains a significant global public health concern, and its impact in low- and middle-income countries, including Ghana is profound. Existing policies in Ghana focus on early screening and diagnosis. While the primar... Read More about Women's Experiences with Cervical Cancer in Ghana.

Very Accurate Time-Frequency Representation of Induction Motors Harmonics for Fault Diagnosis Under Load Variations (2024)
Journal Article
Bonet-Jara, J., Fernandez-Cavero, V., Vedreno-Santos, F., Morinigo-Sotelo, D., & Pons-Llinares, J. (in press). Very Accurate Time-Frequency Representation of Induction Motors Harmonics for Fault Diagnosis Under Load Variations. IEEE Transactions on Indust

Induction motors work under steady-state in many applications. Nevertheless, in some cases they experience periodic load fluctuations, which generate constant frequency harmonics close to variable frequency bar breakage harmonics. In these cases, tim... Read More about Very Accurate Time-Frequency Representation of Induction Motors Harmonics for Fault Diagnosis Under Load Variations.

Data Matters- Storytelling with technologies (2024)
Digital Artefact
Lechelt, S., Panneels, I., Kaye, R., & Disley, M. Data Matters- Storytelling with technologies. [Video]

Watch Dr Susan Lechelt, Dr Inge Panneels, Rebecca Kaye (ploterre) and Martin Disley from Creative Informatics, Edinburgh, present their practice and research.

Correlates of Posttraumatic Stress Disorder in the Aftermath of the February 2023 Earthquake in Turkey (2024)
Journal Article
Han Alpay, E., Redican, E., Hyland, P., Karatzias, T., & Shevlin, M. (online). Correlates of Posttraumatic Stress Disorder in the Aftermath of the February 2023 Earthquake in Turkey. Journal of Loss and Trauma, https://doi.org/10.1080/15325024.2024.231430

On February 6, 2023, an earthquake registering 7.8 on the Richter scale struck southeast Turkey, and this was followed by a second earthquake of magnitude 7.5. The earthquake resulted in widespread loss, devastation, and destruction, and is anticipat... Read More about Correlates of Posttraumatic Stress Disorder in the Aftermath of the February 2023 Earthquake in Turkey.

ASB-CS: Adaptive sparse basis compressive sensing model and its application to medical image encryption (2024)
Journal Article
Jiang, D., Tsafack, N., Boulila, W., Ahmad, J., & Barba-Franco, J. (in press). ASB-CS: Adaptive sparse basis compressive sensing model and its application to medical image encryption. Expert Systems with Applications, 236, Article 121378. https://doi.org/

Recent advances in intelligent wearable devices have brought tremendous chances for the development of healthcare monitoring system. However, the data collected by various sensors in it are user-privacy-related information. Once the individuals’ priv... Read More about ASB-CS: Adaptive sparse basis compressive sensing model and its application to medical image encryption.

Riding waves to improve functioning: a quantitative evaluation of a Surf Week in individuals with chronic phase brain injury with six months follow-up (2024)
Journal Article
Denneman, R. P. M., van Bezeij, T., Kal, E. C., Marshall, J., & Pisters, M. F. (in press). Riding waves to improve functioning: a quantitative evaluation of a Surf Week in individuals with chronic phase brain injury with six months follow-up. Disability a

Purpose Environmental enrichment seems to enable people in the chronic phase of acquired brain injury (ABI) to experience new functional abilities and motor/coping strategies and consequently to become more adaptable which might prevent/reverse func... Read More about Riding waves to improve functioning: a quantitative evaluation of a Surf Week in individuals with chronic phase brain injury with six months follow-up.

A systematic review and Bayesian meta-analysis assessing intelectin-1 in cancer patients and healthy individuals (2024)
Journal Article
Paval, D. R., Di Virgilio, T. G., Skipworth, R. J. E., & Gallagher, I. J. (2024). A systematic review and Bayesian meta-analysis assessing intelectin-1 in cancer patients and healthy individuals. Frontiers in Oncology, 14, Article 1198555. https://doi.org

Background: Intelectin-1 (ITLN1) is an adipokine with multiple physiological functions, including a role in tumour formation and development. Previous research reported variable ITLN1 levels for cancer patients and healthy individuals. This study aim... Read More about A systematic review and Bayesian meta-analysis assessing intelectin-1 in cancer patients and healthy individuals.

The barometer of moral distress in midwifery: A pilot study (2024)
Journal Article
Foster, W., McKellar, L., Fleet, J., Creedy, D., & Sweet, L. (2024). The barometer of moral distress in midwifery: A pilot study. Women and Birth, 37(3), Article 101592. https://doi.org/10.1016/j.wombi.2024.101592

Background Moral distress is a phenomena that occurs following a compromise to moral beliefs. Moral distress has been reported across health professions, including midwifery. Although there are validated tools to assess for moral distress, none have... Read More about The barometer of moral distress in midwifery: A pilot study.

The retailer perspective on the potential for using urban consolidation centres (UCCs) (2024)
Journal Article
Akgün, E. Z., Monios, J., Cowie, J., & Fonzone, A. (2024). The retailer perspective on the potential for using urban consolidation centres (UCCs). Research in Transportation Economics, 103, Article 101413. https://doi.org/10.1016/j.retrec.2024.101413

This paper examines the role of supportive policies and value-added services which may incentivise retailers to use an urban consolidation centre (UCC). The methodology is a case study of the city of Edinburgh, Scotland, based on semi-structured inte... Read More about The retailer perspective on the potential for using urban consolidation centres (UCCs).

Deep Learning-Based Receiver Design for IoT Multi-User Uplink 5G-NR System (2024)
Presentation / Conference Contribution
Gupta, A., Bishnu, A., Ratnarajah, T., Adeel, A., Hussain, A., & Sellathurai, M. (2024). Deep Learning-Based Receiver Design for IoT Multi-User Uplink 5G-NR System. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference (4110-4115). https://doi.or

Designing an efficient receiver for multiple users transmitting orthogonal frequency-division multiplexing signals to the base station remain a challenging interference-limited problem in 5G-new radio (5G-NR) system. This can lead to stagnation of de... Read More about Deep Learning-Based Receiver Design for IoT Multi-User Uplink 5G-NR System.

A Deep Transfer Learning-Powered EDoS Detection Mechanism for 5G and Beyond Network Slicing (2024)
Presentation / Conference Contribution
Benzaïd, C., Taleb, T., Sami, A., & Hireche, O. (2024). A Deep Transfer Learning-Powered EDoS Detection Mechanism for 5G and Beyond Network Slicing. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference (4747-4753). https://doi.org/10.1109/globe

Network slicing is recognized as a key enabler for 5G and beyond (B5G) services. However, its dynamic nature and the growing sophistication of DDoS attacks put it at risk of Economical Denial of Sustainability (EDoS) attack, causing economic losses t... Read More about A Deep Transfer Learning-Powered EDoS Detection Mechanism for 5G and Beyond Network Slicing.

Impact of board diversity on Chinese firms’ cross-border M&A performance: An artificial intelligence approach (2024)
Journal Article
Ding, S., Du, M., Cui, T., Zhang, Y., & Duygun, M. (2024). Impact of board diversity on Chinese firms’ cross-border M&A performance: An artificial intelligence approach. International Review of Economics and Finance, 92, 1321-1335. https://doi.org/10.10

In this paper, we examine the impact of board demographic characteristics on Chinese firms’ cross-border Mergers and Acquisition (M&A) performance, especially the gender diversity of the board composition. We unveil that female board proportion exhib... Read More about Impact of board diversity on Chinese firms’ cross-border M&A performance: An artificial intelligence approach.

Hate speech detection: A comprehensive review of recent works (2024)
Journal Article
Gandhi, A., Ahir, P., Adhvaryu, K., Shah, P., Lohiya, R., Cambria, E., Poria, S., & Hussain, A. (online). Hate speech detection: A comprehensive review of recent works. Expert Systems, https://doi.org/10.1111/exsy.13562

There has been surge in the usage of Internet as well as social media platforms which has led to rise in online hate speech targeted on individual or group. In the recent years, hate speech has resulted in one of the challenging problems that can unf... Read More about Hate speech detection: A comprehensive review of recent works.

Event-Triggered Relearning Modeling Method for Stochastic System with Non-Stationary Variable Operating Conditions (2024)
Journal Article
Liu, J., Zhang, Y., Zhou, Y., & Chen, J. (2024). Event-Triggered Relearning Modeling Method for Stochastic System with Non-Stationary Variable Operating Conditions. Mathematics, 12(5), Article 667. https://doi.org/10.3390/math12050667

This study presents a novel event-triggered relearning framework for neural network modeling, designed to improve prediction precision in dynamic stochastic complex industrial systems under non-stationary and variable conditions. Firstly, a sliding w... Read More about Event-Triggered Relearning Modeling Method for Stochastic System with Non-Stationary Variable Operating Conditions.

Consumers’ reaction to sci-fi as a source of information for technological development: An empirical analysis (2024)
Journal Article
Messeni Petruzzelli, A., Mora, L., Natalicchio, A., Platania, F., & Toscano Hernandez, C. (2024). Consumers’ reaction to sci-fi as a source of information for technological development: An empirical analysis. Technovation, 132, Article 102970. https://d

Science fiction (sci-fi) creative products inspire individuals by envisioning alternative futures and imaginary technological development. The stimuli conveyed by sci-fi creative products can trigger consumers' interest, which nowadays translate into... Read More about Consumers’ reaction to sci-fi as a source of information for technological development: An empirical analysis.

Solar Wall Technology and Its Impact on Building Performance (2024)
Journal Article
Ghamari, M., & Sundaram, S. (2024). Solar Wall Technology and Its Impact on Building Performance. Energies, 17(5), Article 1075. https://doi.org/10.3390/en17051075

Solar walls provide transformative solutions by harnessing solar energy to generate electricity, improve thermal comfort, and reduce energy consumption and emissions, contributing to zero-energy buildings and mitigating climate change. In hot and hum... Read More about Solar Wall Technology and Its Impact on Building Performance.

Toward a Real-Time TCP SYN Flood DDoS Mitigation Using Adaptive Neuro-Fuzzy Classifier and SDN Assistance in Fog Computing (2024)
Journal Article
Bensaid, R., Labraoui, N., Abba Ari, A. A., Maglaras, L., Saidi, H., Abdu Lwahhab, A. M., & Benfriha, S. (2024). Toward a Real-Time TCP SYN Flood DDoS Mitigation Using Adaptive Neuro-Fuzzy Classifier and SDN Assistance in Fog Computing. Security and Commu

The growth of the Internet of Things (IoT) has recently impacted our daily lives in many ways. As a result, a massive volume of data are generated and need to be processed in a short period of time. Therefore, a combination of computing models such a... Read More about Toward a Real-Time TCP SYN Flood DDoS Mitigation Using Adaptive Neuro-Fuzzy Classifier and SDN Assistance in Fog Computing.