Digital Commons Network^™

Relational Practices Underpinning Person-Centred Care In Long-Term Residential Care Settings., Gary Hodge, Sam Ebden, Susie Pearce

School of Nursing and Midwifery

Recent figures indicate that there are just over 441,000 people living in long-term residential care homes across the United Kingdom (UK) (Berg, 2025), of which 70% are living with dementia or a severe cognitive impairment (Alzheimer’s Society, 2024). The percentage of people living in permanent residential aged care with dementia in Australia is slightly lower (54%) but still represents most residents and is rising (AIHW, 2025; Dementia Australia, 2025).This article is based on the findings and reflections of a qualitative multiple-case study exploring person-centred care across seven residential care homes in the United Kingdom (UK; Hodge et al., 2023). Findings …

Prioritising Follow-Up For People With Suspected Epilepsy Using A Digital Eeg Biomarker, Rohit Shankar, John Terry

Peninsula Medical School

Lengthy waits for follow-up testing are common for people with suspected epilepsy. This delays diagnosis, prolongs uncertainty and increases seizure risk. Initial EEGs are frequently inconclusive, yet follow-ups are often dictated by referral date, and there is no established method for risk-based prioritisation. Here, we tested whether an established digital EEG biomarker could help prioritise those most likely to have epilepsy for expedited follow-up EEG testing. We analysed 196 normal non-contributory (non-diagnostic) initial EEGs collected from six National Health Service (NHS) sites in England. From these recordings, we extracted eight previously validated computational features that quantify the likelihood that the …

Promoting Positive Youth Development With Adolescent Boys In Uk Schools: A Theory-Driven Evaluation Of The “Becoming A Man” Programme, Finlay Green, Cristina Preece, Kate Allen, Sean Manzi, Julia Mannes, Lynne Callaghan, Vashti Berry, Ediane Santana De Lima, Amy Woodburn, Tim Hobbs, Julie Harris, Nick Axford

Peninsula Medical School

Youth violence, including gender-based violence, is a major public health issue in the UK, yet evidence on effective interventions in the UK remains limited. Becoming a Man (BAM) is a two-year school-based positive youth development programme for adolescent boys, developed in Chicago, US, where two RCTs found reduced violent crime arrests and improved academic engagement. This study evaluated BAM’s potential in the UK using a theory-driven design (no comparison group). 97 boys aged 12–14 years (66% Black/Black British) in three London schools enrolled in BAM. Data sources included: implementation records (recruitment, attendance, adherence, quality, youth socio-demographics); school data (attendance, exclusions, …

Evaluating The Patient Journey Through Integrated Mental Health Services Using Routinely Collected Data: Utility Of The Dialog Patient-Reported Outcome And Experience Measure, Stuart G. Spicer, Rahul Bhattacharya, Katelyn Smalley, Akshith Shetty, Paul Sharpe, Richard Byng

Peninsula Medical School

Aims and method DIALOG is a patient-reported outcome and experience measure. We analysed anonymised DIALOG scores routinely collected from East London NHS Foundation Trust. We aimed to (a) examine changes in DIALOG scores through the patient journey (‘assessment’, ‘review’ and ‘discharge’); and (b) assess the impact of community mental health (CMH) transformation by comparing pre- and post-DIALOG scores. We analysed 11 198 DIALOG scores from 5007 patients in 2018–2019 and 2021–2022. Results DIALOG scores improved across treatment stages in both years. There was no clear difference pre- and post-CMH transformation, although in 2021–2022 there were lower satisfaction scores at referral. …

The Islamic Republic Of Iran And International And Regional Orders: A Roundtable Discussion, Shabnam Holliday, Edward Wastnidge

School of Law, Humanities and Social Sciences

Recent years have seen considerable debate about the shifting contours of international order, regarding whether or not there is a Western liberal world order and the power and influence of its illiberal challengers. Indeed, the old certainties of the bipolar international system created by the Cold War are an increasingly distant memory, and the unipolar moment of unchecked US dominance is now seen as an interregnum in the seemingly inevitable move toward a multipolar future for global politics. As a country of major geostrategic importance, Iran often has been a key player in the shifts that have occurred in both …

Sounding W. B. Yeats’S “Cuchulain Comforted”, David Sergeant

School of Law, Humanities and Social Sciences

No abstract provided.

Evidence Base To Inform Health Service Configuration For Abortion Provision: The Sacha (Shaping Abortion For Change) Multi-Component Study, Kaye Wellings, Rebecca S. French, Annette Aronsson, Paula Baraitser, Sharon Cameron, Caroline Free, Louise Keogh, Maria Lewandowska, Patricia Lohr, Rebecca Meiksin, Ona Mccarthy, Clare Murphy, Wendy Norman, Melissa Palmer, Jennifer Reiter, Natasha Salaria, Rachel Scott, Jill Shawe, Sally Sheldon, Geoff Wong

School of Nursing and Midwifery

Background: Significant changes to the nature and context of abortion provision are taking place in the United Kingdom. Empirical evidence is needed to guide efforts to respond to these changes. Objective(s): To provide an evidence base to inform optimal configuration of health services and systems in response to current and future changes in abortion provision in the UK. Design and methods: Observational study comprising five integrated components: (1) a realist review to generate evidence to guide optimal abortion provision and a scoping review of interventions aimed at preparing non-specialist health professionals to provide abortion care and support; (2) country-based case studies identifying transferable …

Dynamic Knowledge Practices In Tourism Village Development: An Activity Theory Perspective, Xianyang Hu, Jie Chen, Songshan (Sam) Huang

Research outputs 2022 to 2026

This study investigates why tourism village development models often fail to replicate success despite cultural and geographic similarities. Using activity theory and knowledge management concepts, we analyze two adjacent Chinese villages to trace explicit knowledge flow and examine disrupted tacit and indigenous knowledge practices. Findings show that while surface-level knowledge transfer occurs, contradictions within activity system elements, especially the marginalization of indigenous knowledge and community capacity, hinder effective knowledge application. Knowledge flow is inherently nonlinear and deeply context-dependent. We develop a comparative activity system model that highlights how success hinges less on knowledge transfer and more on the integration of …

The Case For The Retrospective Phd By Publication In Dental Academia, James Puryer

Peninsula Dental School

For many mid-career clinicians, the traditional PhD is impractical. We assess how a retrospective PhD by publication provides a flexible, credible model aligned with academic and professional realities.

Integrated Biotechnological Strategies For Planetary Health And Ecosystem Restoration, Duygu T. Yildirim, A. Baki Yildirim, Donald Martin, Tommaso Beccari, Oscar Vicente, Iza Radecka, Fideline Tchuenbou-Magaia, Robert Marks, Ratnesh Lal, Satya Prakash, Adam Mechler, Mario Petrov Milkov, Svetlana Fotkova Georgieva, Ilia Iliev, Radka Kaneva, Nuriye Gokce, Galina Aleksieva Yaneva, Nadya Vasileva Agova, Nikoleta Dobromirova Ivanova, Izem Olcay Sahin, Mariya Kiryakova Tsvetkova, Ivelin Rosenov Iliev, Michel Salzet, Kisung Ko, Michele Maffia, Matteo Bertelli, Isabelle Fournier, Lejla Pojskic, Qun Sun, Lembit Nei, Reynir Armgrisson

Research Outputs: 2025-Present

The escalation of ecological degradation, marked by climatic instability, precipitous biodiversity loss, and systemic chemical infiltration, necessitates a shift toward integrated biotechnological intervention. This analysis considers how the trajectory of diverse advanced methodologies, including environmental DNA (eDNA) surveillance, CRISPR-based genetic restitution, and synthetic biology-driven bioremediation, might be synthesized into a unified Planetary Health Framework. By exploring the convergence of high-precision genomic engineering, AI-augmented bioinformatic modeling, and the tenets of a circular bio-economy, we examine the capacity of technological intervention to ameliorate ecological stressors and restore critical ecosystems. Moving beyond the constraints of conventional conservation, this discourse explores frontier solutions in …

Weakly Supervised Video Anomaly Detection And Localization With Spatio-Temporal Prompts, Peng Wu, Xuerong Zhou, Guansong Pang, Zhiwei Yang, Qingsen Yan, Peng Wang, Yanning Zhang

Research Collection School Of Computing and Information Systems

Current weakly supervised video anomaly detection (WSVAD) task aims to achieve frame-level anomalous event detection with only coarse video-level annotations available. Existing works typically involve extracting global features from full-resolution video frames and training frame-level classifiers to detect anomalies in the temporal dimension. However, most anomalous events tend to occur in localized spatial regions rather than the entire video frames, which implies existing frame-level feature based works may be misled by the dominant background information and lack the interpretation of the detected anomalies. To address this dilemma, this paper introduces a novel method called STPrompt that learns spatio-temporal prompt embeddings …

Portrait Shadow Removal Via Self-Exemplar Illumination Equalization, Qian Huang, Cheng Xu, Guiqing Li, Ziheng Wu, Shengxin Liu, Shengfeng He

Research Collection School Of Computing and Information Systems

We introduce the Self-Exemplar Illumination Equalization Network, designed specifically for effective portrait shadow removal. The core idea of our method is that partially shadowed portraits can find ideal exemplars within their non-shadowed facial regions. Rather than directly fusing two distinct classes of facial features, our approach utilizes non-shadowed regions as an illumination indicator to equalize the shadowed regions, generating deshadowed results without boundary-merging artifacts. Our network comprises cascaded Self-Exemplar Illumination Equalization Blocks (SExmBlock), each containing two modules: a self-exemplar feature matching module and a feature-level illumination rectification module. The former identifies and applies internal illumination exemplars to shadowed areas, producing …

Causality-Aware Safety Testing For Autonomous Driving Systems, Wenbing Tang, Mingfei Cheng, Renzhi Wang, Yuan Zhou, Chengwei Liu, Yang Liu, Zuohua Ding

Research Collection School Of Computing and Information Systems

Simulation-based testing is essential for evaluating the safety of Autonomous Driving Systems (ADSs). Comprehensive evaluation requires testing across diverse scenarios that can trigger various types of violations under different conditions. While existing methods typically focus on individual diversity metrics, such as input scenarios, ADS-generated motion commands, and system violations, they often fail to capture the complex interrelationships among these elements. For instance, identical motion commands can produce different collision risks in varying scenes, and the same collision may result from different commands under different scenarios. This oversight leads to gaps in testing coverage, potentially missing critical issues in the ADS …

Developing Blockchain-Based Transparent E-Commerce Solutions For Danish Smes To Promote Sustainable Design Products, Somnath Mazumdar, Robert John Kauffman, Thomas Jensen, Raghava Rao Mukkamala, Jan Damsgaard

Research Collection School Of Computing and Information Systems

Typically, a firm's objectives include establishing consumer confidence, preserving its brand image, and developing a profitable business strategy. Consumers now place greater emphasis on the sustainability and transparency of their purchases. Given environmental and economic limitations, firms are often compelled to implement sustainable production methods. This is especially a struggle for small- and medium-sized enterprises (SMEs) with new technology, as it can increase their risk of failure. This has led to a problem for consumers, who must cross-check the sustainability-related claims of the firms they buy from. This is challenging because of limited process trace data and restricted enforcement capabilities. …

Managing Reproducibility Debt In Scientific Software: A Practical Framework, Zara Hassan, Christoph Treude, Graham Williams, Michael Norrish, Alex Potanin

Research Collection School Of Computing and Information Systems

Scientific software includes end-user applications, modelling tools, research software for publications, and production systems for real users. It plays a key role across various scientific disciplines by enabling large-scale computation, simulation, and data analysis. Unlike commercial software, scientific software is often developed in dynamic research environments with limited engineering practices, documentation, or testing. This makes it fragile and difficult to reproduce results, even when code and data are available, conditions in which Reproducibility Debt (RpD) accumulates. This paper presents the Reproducibility Debt Management Framework (RpD-MF), which is grounded in evidence from a systematic literature review, practitioner interviews, and a global …

Understanding Codebase Like A Professional! Human-Ai Collaboration For Code Comprehension, Jie Gao, Yue Xue, Xiaofei Xie, Junming Cao, Soemin Thant, Erika Lee, Bowen Xu

Research Collection School Of Computing and Information Systems

Understanding an unfamiliar codebase is an essential task for developers in various scenarios, such as during the onboarding process. Especially when the codebase is large and time is limited, achieving a decent level of comprehension remains challenging for both experienced and novice developers, even with the assistance of large language models (LLMs). Existing studies have shown that LLMs often fail to support users in understanding code structures or to provide user-centered, adaptive, and dynamic assistance in real-world settings.To address this, we propose learning from the perspective of a unique role, code auditors, whose work often requires them to quickly familiarize …

Rising Oil Prices In The Philippines: Why A Targeted Uplift Response Is Preferable To Broad Price Suppression, Marites M. Tiongco, Caesar B. Cororaton, Francine Ysabel D. Gañgan

Angelo King Institute for Economic and Business Studies (AKI)

Global oil prices have risen sharply following the escalation of renewed geopolitical conflict and severe disruption in the Strait of Hormuz, a critical maritime route for global energy shipments. From a pre-conflict level of approximately US$72 per barrel, Brent crude has surged to nearly US$150 per barrel as of mid-April 2026 (Reuters, 2026), a roughly twofold increase, as tanker attacks and fears of sustained supply disruption persist despite a large coordinated reserve release by the International Energy Agency.

For the Philippines, this matters because the country remains heavily dependent on imported petroleum and is vulnerable to external shocks in shipping, …

Application Of The Tridiagonal Representation Approach And The J- Matrix Method Of Scattering In Theoretical Physics, Tunde Joseph Osunmusanmi

Dissertations

This dissertation is about the application of the Tridiagonal Representation Approach (TRA) in handling linear phenomenons, and for the first time, the J-matrix method of scattering in handling nonlinear phenomenons. The TRA is an algebraic method for solving linear ordinary differential equations of the second order. The advantage of the method in being algebraic is reinforced by the analytic power of orthogonal polynomials and special functions. On the computational side, it is favored as being reliant on powerful numerical techniques that deal with tridiagonal matrices such as Gauss quadrature and continued fraction. In the method, the solution of the differential …

Fully Decentralized Hierarchical Federated Learning At The Edge With Post-Quantum Secure Communication, Tariq Qayyum

Dissertations

Federated learning (FL) enables collaborative model training without centralizing raw data, but deploying FL at scale in real edge environments remains challenging because iterative training and aggregation must operate over heterogeneous, resource-constrained, and often mobile devices with time-varying connectivity. Conventional hierarchical federated learning (HFL) partially mitigates communication cost by introducing fog/edge aggregation, yet many designs retain cloud-based global aggregation and cloud-centric coordination. This places wide-area network latency on the critical path of every training round, creates a single point of failure, and limits responsiveness as model sizes and federation scale grow. Moreover, moving coordination and aggregation closer to the edge …

Ideals And Lattices In Number Fields, Sarah Ali Alyammahi

Theses

This thesis investigates algebraic number fields and their rings of integers, which

generalize the ring of integers ℤ in ℚ. The study focuses on ideals, units, and ideal class

groups, which describe the arithmetic structure of number fields and the failure of unique factorization. Key invariants such as the norm, trace, and discriminant are developed and applied, with particular emphasis on quadratic number fields and classical examples such as the Gaussian and Eisenstein integers. Some explicit computations of ideal class groups are carried out. The thesis also explores connections with lattice theory by interpreting rings of integers as lattices and …

Traditional And Machine-Learning Equalization Techniques For Bandwidth-Limited Short-Reach Optical Communication Channels, Abdullah Khawatmi

Theses

This thesis investigates equalization techniques for bandwidth-limited short-reach optical communication systems, with a focus on Visible Light Communication (VLC) and Step-Index Plastic Optical Fiber (SI-POF) links. Commercial light-emitting diodes and photodiode receivers impose severe bandwidth constraints, inter-symbol interference, and noise sensitivity, which fundamentally limit achievable data rates. The work addresses these impairments through systematic evaluation of traditional digital signal processing–based equalizers and modern machine-learning-based post-equalization methods. The primary aim of this thesis is to enhance the achievable data rate and reliability of commercial short-reach optical links while maintaining practical computational complexity. Specifically, the objectives are to (i) design and experimentally …

A Computational Assessment Of Halobacterium Salinarum Glutamate Dehydrogenase Enzymes, Maaz Abdalla

Theses

Glutamate dehydrogenase (GDH) is a hexameric enzyme. GDH is involved in several pathways and cellular processes such as oxidation-reduction homeostasis, ammonia metabolism, lipid biosynthesis, insulin and lactate production, and acid-base equilibrium. The main objective of this thesis is to understand the structural and biochemical properties of this enzyme and why some organisms, for e.g., Halobacterium salinarum, have more than one GDH with different coenzyme specificities. The catabolism of glutamate is linked to NAD+ specific GDHs, meanwhile, NADP+ specific GDHs play an anabolic role in ammonia assimilation. Molecular docking and binding free energy calculations were employed followed by long-scale (500 nanoseconds) …

جريمة تزوير المستند الالكتروني طبقا للمرسوم بقانون اتحادي رقم (46) لسنة 2021 بشأن المعاملات الإلكترونية وخدمات الثقة, كلثم راشد المزروعي

Theses

The Crime of Electronic Document Forgery under UAE Legislation: A Legal and Judicial Analysis in Light of Digital Transformation

This study examines the crime of electronic document forgery in light of rapid digital transformation and the challenges it poses to legal systems, particularly in the United Arab Emirates. The research problem lies in the absence of a comprehensive legal framework, the difficulty of classifying technologically evolving forms of forgery, and the challenges associated with proving such crimes using digital evidence.

The study aims to analyze the legal nature of electronic document forgery, distinguish it from traditional forgery, identify its elements …

الوساطة الجزائية ودورها في إنهاء الدعوى الجزائية (دراسة مقارنة), فاطمة راشد السبوسي

Theses

Criminal mediation, criminal proceedings, restorative justice, UAE Criminal Procedure Law, alternatives to criminal litigation

This thesis addresses the topic of criminal mediation as one of the modern mechanisms adopted by contemporary criminal legislation as an alternative to traditional criminal proceedings. The study focuses on the United Arab Emirates, where the Federal Decree-Law No. (38) of 2022 on Criminal Procedure codified criminal mediation, particularly in Articles 352 and following. This raises questions regarding the adequacy and appropriateness of the legal framework regulating this system.

The research problem lies in assessing the extent to which the UAE legal system effectively organizes criminal …

Mental Health Literacy Among Perinatal Healthcare Professionals In The United Arab Emirates: A Multiphase Convergent Mixedmethods Study, Rouwida Khalil Elkhalil

Dissertations

Perinatal mental disorders (PNMDs) pose a significant public health concern due to their impact on maternal well-being, infant development, and family functioning. Effective identification and management of PNMDs depend largely on the mental health literacy (MHL) of healthcare professionals, particularly those working in perinatal settings. However, MHL among perinatal healthcare professionals in the United Arab Emirates (UAE) remains underexplored. This dissertation aimed to examine and conceptualize MHL among perinatal healthcare professionals in the UAE, explore factors influencing its application in clinical practice, and inform evidence-based improvements in perinatal mental health care. A multiphase convergent mixed-methods design was employed across four …

Intelligent Deep Learning-Based Sign Language Translation System, Nada Rasem Shahin

Dissertations

The Deaf and Hard of Hearing (DHH) community uses sign language as a primary means of communication. However, the shortage of sign language interpreters and the existence of hundreds of sign languages limit accessibility and inclusion. Sign Language Machine Translation (SLMT) systems present a promising solution for bridging the communication gap between the DHH and the hearing individuals, supporting inclusive societies. In smart cities, such systems play an essential role in improving the quality of life on a community level. In particular, as the population’s well-being is critical, developing intelligent assistive technologies, such as SLMT systems, is necessary to provide …

Efficient Energy Management In Networked Microgrids Using Multi-Agent Deep Reinforcement Learning In The Presence Of Uncertainties, Ayodele Benjamin Chukwuyem

Dissertations

Microgrid technology is essential in facilitating the transition to smart energy grids in developed countries and mitigating energy poverty in developing countries, particularly in areas where grid extensions are not feasible. Recently, the concept of networked microgrids (NMGs) has garnered tremendous attention due to the plausibility of interactions among interconnected microgrids leading to power networks that are more resilient, reliable, and stable. However, because each microgrid has diverse distributed generation resources (renewables and controllable generators) and each microgrid operator (MO) has different objectives, coordinated energy management is required to satisfy local and system-wide goals under conditions with significant uncertainty. Existing …

Enhancing Co2 Adsorption And Co2/N2 Separation Performance By Incorporating Calcium In Mil-53 (Al), Hussein Rasool Abid, Hussein Znad, Nabil Majd Alawi, Farhan Lafta Rashid, Anmar Dulaimi, Amer Alanazi, Alireza Keshavarz, Stefan Iglauer, Shaobin Wang

Research outputs 2022 to 2026

Global warming is primarily driven by the rapid accumulation of carbon dioxide (CO₂) in the atmosphere. Metal–organic frameworks (MOFs) have emerged as promising materials for mitigating CO₂ emissions due to their tunable porosity, large surface area, and structural flexibility. Among them, MIL-53(Al) has attracted widespread interest owing to its excellent thermal and chemical stability. Recent studies show that modifying MOFs with secondary metals can significantly enhance their CO₂ adsorption performance. In this work, a one-pot synthesis method was employed to incorporate calcium (Ca), functioning as a Lewis basic metal, into the MIL-53(Al) framework to produce a series of bimetallic materials: …

Effects Of Photobiomodulation On Oral Mucositis, Oral Pain, Xerostomia, Salivary Flow Rate, And Quality Of Life In Patients With Head And Neck Cancer: A Systematic Review And Meta-Analysis, Mônica N.M. Pedroso, Anderson Rech, Natalia Casagrande, Júlia F. Pissaia, Julia S. Zardo, Vitória L. Borges, Stephanie R. Bombana, Cindranne Torres Muller, Priscila Casara, Janaína Brollo, Claudio P. Júnior, Carin W. Gallon, Pedro Lopez

Research outputs 2022 to 2026

Purpose: To systematically review and analyze the effects of photobiomodulation on oral mucositis, xerostomia, salivary flow rates, oral pain, and quality of life in patients with head and neck cancer. Methods: A systematic search of six databases was conducted up to April 2025. Eligible randomized controlled trials (RCTs) examined the effects of photobiomodulation on the specified outcomes in patients with head and neck cancer. Pooled estimates (risk ratio [RR] and standardized mean difference [SMD]) were calculated using a three-level mixed-effects meta-analysis. Results: Thirty-three articles describing 30 RCTs (n = 1748) were included. Photobiomodulation significantly reduced the risk of severe oral …

Utilizing And Optimizing Forecasting Models For Nursing Demand: A Narrative Review, Kalpana Singh, Liyan Ajit D. Souza, Ananth Nazarene, Amane Mounia, Mahmoud Abdelwahab Khedr, Ahmad Mousa, Rebecca Rejo George, Abdulqadir J. Nahwan

Research outputs 2022 to 2026

Background: Accurately forecasting nursing demand is essential for effective workforce planning in the context of increasing patient volumes and the growing complexity of healthcare systems. Reliable forecasting supports optimal staffing, enhances patient care quality, and reduces operational risks. However, traditional forecasting approaches are increasingly challenged by evolving clinical demands, rising chronic disease burden, and rapid technological advancements. Aim: This narrative review aimed to (1) map existing models used for predicting nursing demand, (2) identify key predictive methodologies, data inputs, and evaluation metrics, and (3) highlight existing gaps and implications for healthcare policy and workforce management. Methods: A comprehensive narrative literature …