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Detection of Signals in MC–CDMA Using a Novel Iterative Block Decision Feedback Equalizer (2022)
Journal Article
Bagadi, K., Ravikumar, C., Sathish, K., Alibakhshikenari, M., Virdee, B. S., Kouhalvandi, L., Olan-Nuñez, . K. N., Pau, G., See, C. H., Dayoub, I., Livreri, . P., Aïssa, S., Falcone, F., & Limiti, E. (2022). Detection of Signals in MC–CDMA Using a Novel Iterative Block Decision Feedback Equalizer. IEEE Access, 10, 105674-105684. https://doi.org/10.1109/ACCESS.2022.3211392

This paper presents a technique to mitigate multiple access interference (MAI) in multicarrier code division multiple access (MC-CDMA) wireless communications systems. Although under normal circumstances the MC-CDMA system can achieve high spectral e... Read More about Detection of Signals in MC–CDMA Using a Novel Iterative Block Decision Feedback Equalizer.

Worldwide FRAND Licences in Global Patent Litigation (2022)
Journal Article
Torti, V. (2022). Worldwide FRAND Licences in Global Patent Litigation. European Intellectual Property Review, 44(10), 575-585

A new front has recently emerged in SEP global battles, concerning the legitimacy of judicially determining FRAND worldwide royalties despite the absence of consent of all parties involved. The Unwired Planet decision in the UK, as well as other disp... Read More about Worldwide FRAND Licences in Global Patent Litigation.

The Applicability of Autopoietic Cybernetics in Humanitarian Supply Chain Thinking (2022)
Presentation / Conference Contribution
Duddy, D., Weaver, M., & Stantchev, D. (2022, September). The Applicability of Autopoietic Cybernetics in Humanitarian Supply Chain Thinking. Presented at Logistics Research Network Conference, Supply Chain Innovation: People, Process, Technology, Birmingham, UK

Purpose: This research examines whether an autopoietic cybernetic model can assist in achieving greater
effectiveness and efficiency in the humanitarian supply chain paradigm. It examines the extent to which a holistic view
is taken during humani... Read More about The Applicability of Autopoietic Cybernetics in Humanitarian Supply Chain Thinking.

Scottish Mental Health Law Review: Final Report (2022)
Report
McKay, C., Stavert, J., Scott, J., Martin, K., Rankin, A., & Morgan, G. (2022). Scottish Mental Health Law Review: Final Report. Scottish Government

Report commissioned by Scottish Ministers to review Scottish mental health, capacity and adult protection law, to improve the rights and protections of persons with a mental disorder and remove barriers to those caring for their health and welfare.

Special Issue on Adversarial AI to IoT Security and Privacy Protection: Attacks and Defenses (2022)
Journal Article
Gao, H., & Tan, Z. (2022). Special Issue on Adversarial AI to IoT Security and Privacy Protection: Attacks and Defenses. Computer Journal, 65(11), 2847-2848. https://doi.org/10.1093/comjnl/bxac128

The prosperity of social IoT data brings revolutionary changes to our daily lives and greatly increases the existing data volume. But IoT data are vulnerable due to security and privacy issues. Over the past few years, malicious adversaries exploited... Read More about Special Issue on Adversarial AI to IoT Security and Privacy Protection: Attacks and Defenses.

Dealing with Problematic Asymmetries in Caregiving Relationships: A Role for Social Robots? (2022)
Presentation / Conference Contribution
Zijie Qu, N., Henderson, K., Li, J., & Chignell, M. (2022, October). Dealing with Problematic Asymmetries in Caregiving Relationships: A Role for Social Robots?. Presented at HFES 66th International Annual Meeting, Atlanta, USA

How can a third party (person or social robot) mitigate the negative aspects of the asymmetrical dyadic relationships associated with caregiving of the elderly? We start by examining the social-psychological structure of the relationship between give... Read More about Dealing with Problematic Asymmetries in Caregiving Relationships: A Role for Social Robots?.

When it Comes to Risk, Is Sukuk Better Than Conventional Bonds? A Comparative Study of NASDAQ Securities (2022)
Book Chapter
Farah, A.-N. A., Avdukic, A., & Khaleel, F. (2022). When it Comes to Risk, Is Sukuk Better Than Conventional Bonds? A Comparative Study of NASDAQ Securities. In T. Azid, M. Mukhlisin, & O. Altwijry (Eds.), Wealth management and investment in Islamic settings: opportunities and challenges (283-312). Springer. https://doi.org/10.1007/978-981-19-3686-9_17

This chapter analyses the risk levels of sukuk portfolio compared to conventional bonds, using a sample data that is extracted from daily closing prices of Sukuk and bonds that are traded in Nasdaq Dubai’s security market. The recent data show that g... Read More about When it Comes to Risk, Is Sukuk Better Than Conventional Bonds? A Comparative Study of NASDAQ Securities.

A scoping review to establish the utility of patient reported outcome measures in blood cancer (2022)
Journal Article
Kirkpatrick, S., & Campbell, K. (2022). A scoping review to establish the utility of patient reported outcome measures in blood cancer. Annals of Oncology, 33(suppl_7), S1371. https://doi.org/10.1016/j.annonc.2022.07.382

Background
Blood cancers can have devastating effects on patients’ physical, emotional, and psychosocial health. With improvements in therapies, patients are living longer. There is growing evidence to support the use of Patient Reported Outcome Mea... Read More about A scoping review to establish the utility of patient reported outcome measures in blood cancer.

The Impact of the COVID-19 Pandemic on People with Disabilities in Ukraine: Perspectives of People with Disabilities & Implications for Public Health and Other Emergencies, including Conflict and Post-conflict Recovery (2022)
Report
Sharapov, K., Anderson, D., Nazarenko, V., Polishchuk, O., & Burova, O. (2022). The Impact of the COVID-19 Pandemic on People with Disabilities in Ukraine: Perspectives of People with Disabilities & Implications for Public Health and Other Emergencies, including Conflict and Post-conflict Recovery. Edinburgh: AHRC

A targeted metabolic analysis of football players and its association to player load: Comparison between women and men profiles (2022)
Journal Article
Rodas, G., Ferrer, E., Reche, X., Sanjuan-Herráez, J. D., McCall, A., & Quintás, G. (2022). A targeted metabolic analysis of football players and its association to player load: Comparison between women and men profiles. Frontiers in Physiology, 13, Article 923608. https://doi.org/10.3389/fphys.2022.923608

Professional athletes undertake a variety of training programs to enhance their physical performance, technical-tactical skills, while protecting their health and well-being. Regular exercise induces widespread changes in the whole body in an extreme... Read More about A targeted metabolic analysis of football players and its association to player load: Comparison between women and men profiles.

Football viewing centres in an African megacity: viewers’ characteristics and operational dynamics (2022)
Journal Article
Ogunseye, N. O., Olowosegun, A. M., Kadiri, W. A., Salisu, U. O., & Ogunseye, O. D. (2024). Football viewing centres in an African megacity: viewers’ characteristics and operational dynamics. African geographical review, 43(1), 186-203. https://doi.org/10.1080/19376812.2022.2128835

This study examines viewers’ characteristics and operational dynamics of football viewing centres (FVCs) in Agege, Lagos Megacity, Nigeria. It anchors on the “theory of happiness” and the microeconomic vitality of FVCs using a mixed-methods approach.... Read More about Football viewing centres in an African megacity: viewers’ characteristics and operational dynamics.

Structural Complexity and Performance of Support Vector Machines (2022)
Presentation / Conference Contribution
Olorisade, B. K., Brereton, P., & Andras, P. (2022, July). Structural Complexity and Performance of Support Vector Machines. Presented at 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy

Support vector machines (SVM) are often applied in the context of machine learning analysis of various data. Given the nature of SVMs, these operate always in the sub-interpolation range as a machine learning method. Here we explore the impact of str... Read More about Structural Complexity and Performance of Support Vector Machines.

Manipulating Foley Footsteps and Character Realism to Influence Audience Perceptions of a 3D Animated Walk Cycle (2022)
Presentation / Conference Contribution
Cunningham, S., & Mcgregor, I. (2022, September). Manipulating Foley Footsteps and Character Realism to Influence Audience Perceptions of a 3D Animated Walk Cycle. Presented at Audio Mostly 2022, St. Pölten University of Applied Sciences, Austria

Foley artistry is an essential part of the audio post-production process for film, television, games, and animation. By extension, it is as crucial in emergent media such as virtual, mixed, and augmented reality. Footsteps are a core activity that a... Read More about Manipulating Foley Footsteps and Character Realism to Influence Audience Perceptions of a 3D Animated Walk Cycle.

WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs (2022)
Journal Article
Ta, H. T., Rahman, A. B. S., Majumder, N., Hussain, A., Najjar, L., Howard, N., Poria, S., & Gelbukh, A. (2023). WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs. Information Fusion, 90, 265-282. https://doi.org/10.1016/j.inffus.2022.09.022

As free online encyclopedias with massive volumes of content, Wikipedia and Wikidata are key to many Natural Language Processing (NLP) tasks, such as information retrieval, knowledge base building, machine translation, text classification, and text s... Read More about WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs.

AI-driven lightweight real-time SDR sensing system for anomalous respiration identification using ensemble learning (2022)
Journal Article
Saeed, U., Abbasi, Q. H., & Shah, S. A. (2022). AI-driven lightweight real-time SDR sensing system for anomalous respiration identification using ensemble learning. CCF Transactions on Pervasive Computing and Interaction, 4(4), 381-392. https://doi.org/10.1007/s42486-022-00113-6

In less than three years, more than six million fatalities have been reported worldwide due to the coronavirus pandemic. COVID-19 has been contained within a broad range due to restrictions and effective vaccinations. However, there is a greater risk... Read More about AI-driven lightweight real-time SDR sensing system for anomalous respiration identification using ensemble learning.

Caregiver perspectives on patient capacities and institutional pathways to person centered forensic psychiatric care (2022)
Journal Article
El-Alti, L., Sandman, L., & Munthe, C. (2022). Caregiver perspectives on patient capacities and institutional pathways to person centered forensic psychiatric care. PLOS ONE, 17(9), Article e0275205. https://doi.org/10.1371/journal.pone.0275205

The ethical discourse surrounding patients’ agential capacities, vis-à-vis their active participation in shared decision-making (SDM) in forensic psychiatric (FP) contexts, is an unexplored area of inquiry. The aim of this paper is to explore caregiv... Read More about Caregiver perspectives on patient capacities and institutional pathways to person centered forensic psychiatric care.

On the Fast DHT Precoding of OFDM Signals over Frequency-Selective Fading Channels for Wireless Applications (2022)
Journal Article
Anoh, K., Tanriover, C., Ribeiro, M. V., Adebisi, B., & See, C. H. (2022). On the Fast DHT Precoding of OFDM Signals over Frequency-Selective Fading Channels for Wireless Applications. Electronics, 11(19), Article 3099. https://doi.org/10.3390/electronics11193099

Due to high power consumption and other problems, it is unlikely that orthogonal frequency-division multiplexing (OFDM) would be included in the uplink of the future 6G standard. High power consumption in OFDM systems is motivated by the high peak-to... Read More about On the Fast DHT Precoding of OFDM Signals over Frequency-Selective Fading Channels for Wireless Applications.

Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform (2022)
Journal Article
Ali, H., Ahmad, J., Jaroucheh, Z., Papadopoulos, P., Pitropakis, N., Lo, O., Abramson, W., & Buchanan, W. J. (2022). Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform. Entropy, 24(10), Article 1379. https://doi.org/10.3390/e24101379

Historically, threat information sharing has relied on manual modelling and centralised network systems, which can be inefficient, insecure, and prone to errors. Alternatively, private blockchains are now widely used to address these issues and impro... Read More about Trusted Threat Intelligence Sharing in Practice and Performance Benchmarking through the Hyperledger Fabric Platform.