Digital Commons Network^™

Fuzzy Logic-Based Driving Style Classification For Lane-Change Prediction In Intelligent Transportation Systems, Muhammed Fatih Koc, Nouman Ashraf, Pramod Pathak, Sachin Sharma

Research Outputs: 2025-Present

In recent years, Intelligent Transportation Systems (ITSs) have emerged as a solution to mitigate the problem of traffic congestion. Understanding human driving styles such as aggressive, normal, and cautious is crucial for safe driving. In particular, predicting lane-change manoeuvres may be further supported by combining vehicle state information with driving style information. However, existing vehicle trajectory datasets lack driving style information, making classification challenging. To address this limitation, this paper proposes a fuzzy logic-based driving style classification framework in a Vehicle-to-Everything (V2X) environment. The model uses vehicle state information, including speed, longitudinal acceleration, lateral acceleration, and distance headway to classify …

Educating The Next Generation Of Engineers: Spatial Thinking Is Key To Their Success, Sheryl Sorby, Gavin Duffy, Jack Parkinson, Gibin Raju, John Lynch, Muhammad Asghar

Research Outputs: 2025-Present

This paper attempts to answer questions regarding the link between engineering success and spatial skills through three themes. The previous research of the authors in examining the questions surrounding each theme is the focus of this paper; we acknowledge that others around the world may have conducted similar research, but the specific findings of the authors are the main focus of this paper. In the first theme, we examine data from several author-led studies where positive correlations have been found between spatial skill levels and proficiency in tasks that are a part of what it means to be an engineer. …

Sustainable Development And Faith, Tony Kealy

Research Outputs: 2025-Present

The contribution of faith-based input to the broader idea of sustainable development has not been widely acknowledged in the traditional sense; however, recent global events suggest it may warrant further exploration. This qualitative study examines how faith-based activities, such as missionary work, have historically and can continue to contribute significantly to the environmental, economic, and human/social aspects of organizational decision-making. The focus is on the Catholic faith, specifically the role played by the Irish-based Medical Missionaries of Mary religious congregation in the mid-to-late twentieth century. An initial literature review was conducted to gather information from various sources to define sustainable …

Diffusion-Enhanced Nat-Bart Vision Language Transformer For Unified Urdu Word Recognition, Wahid Hussain, Shahbaz Hassan, Isma Ul Hassan, Ahmad Raza Shahid, Asif Naeem, Muhammad Usman Yaseen, Nouman Ashraf

Research Outputs: 2025-Present

Handwritten Urdu text recognition remains a very challenging problem due to the cursive and complex nature of the Nastaliq script. Each writer has a unique style, and there is a severe lack of large, well-labeled datasets. These challenges make Urdu text recognition much harder than for many other languages. Here we propose a novel and effective approach for handwritten Urdu word recognition that addresses both data scarcity and feature complexity. We utilized conditional diffusion models to generate synthetic handwritten Urdu word images. These models produce realistic word samples covering a wide range of variations, such as stroke thickness, curves, and …

Influence Of Beamwidth, Gain Stability, And Antenna Element Spacing On Aoa Accuracy In Ieee 802.15.4z Uwb Systems, Hossein Raghib Hokmabadi, Wasi Ur Rehman Khan, Patrick Mcevoy, Max James Ammann

Research Outputs: 2025-Present

Precision is a crucial requirement in indoor localization, and the industrial sector increasingly demands technologies that provide both high accuracy and low cost. This work presents a hardware-based evaluation of dual-antenna arrays using an IEEE 802.15.4z-compliant UWB angle of arrival (AoA) development kit to assess antenna performance in terms of phase difference of arrival (PDoA)/AoA linearity. Four antenna types: 1) printed monopole; 2) CPW-fed slot; 3) stacked dielectric resonator antenna (DRA); and 4) dual-layer microstrip patch are evaluated on channels 5 and 9, with measurements performed in a calibrated anechoic chamber under controlled conditions. The results show that wide beamwidth …

Microbial Collagenase Activity Is Linked To Oral–Gut Translocation In Advanced Chronic Liver Disease, Shen Jin, Aurelie Cenier, Daniela Wetzel, Bethlehem Arefaine, Mar Moreno-Gonzalez, Marilena Stamouli, Merianne Mohamad, Mariia Lupatsii, Emilio Ríos, Sunjae Lee, Ane Zamalloa, Shilpa Chokshi, Adil Mardinoglu, Saeed Shoaie, Naiara Beraza, Vishal C. Patel, Melanie Schirmer

Peninsula Medical School

Microbiome perturbations are associated with advanced chronic liver disease (ACLD), but how microorganisms contribute to disease mechanisms is unclear. Here we analysed metagenomes of paired saliva and faecal samples from an ACLD cohort of 86 individuals, plus 2 control groups of 52 healthy individuals and 14 patients with sepsis. We identified highly similar oral and gut bacterial strains, including Veillonella and Streptococcus spp., which increased in absolute abundance in the gut of patients with ACLD compared with controls. These microbial translocators uniquely share a prtC gene encoding a collagenase-like proteinase, and its faecal abundance was a robust ACLD biomarker (area …

The Effectiveness Of Digital Therapeutics Intervention In Oral Anticoagulation Management: A Systematic Review And Meta-Analysis, Jiayue Guo, Lili You, Lu Liu, Xitong Jiao, Debasish Kar, Jitendra Jonnagaddala

Peninsula Medical School

Objective: To summarize the key intervention characteristics and evaluate the effectivenessand safety of digital therapeutics (DTx) in patients receiving oral anticoagulation, witheffectiveness evaluated using time in therapeutic range (TTR), thromboembolic events (TEE),and mortality, and safety evaluated based on bleeding events.Patients and Methods: We searched PubMed, Embase, Web of Science, and the CochraneLibrary from inception to June 20, 2025, and identified ten randomized controlled trialsinvolving 7,237 patients. The criteria required studies to assess software-based DTxsupporting anticoagulation management and report effectiveness or safety outcomes. Studyquality was evaluated using the Grading of Recommendations, Assessment, Development,and Evaluation (GRADE) framework, and random-effects models were applied.Results: …

Patient And Practitioner Workshops For An Intellectual Disabilities And Epilepsy Neuropsychiatric Genetic Research Database Register: Ethical Dilemmas For Study Design, Rohit Shankar, Jon Allard, Dannielle Bilkey, Brendan Mclean, Pamela Bowman, Chloe Staples, Lance Watkins, Anna Simpson, Elizabeth Boardman, Sarah Mitchell, Sarah Lennard

Peninsula Medical School

BackgroundThere is a need for more research studies focussed on People with ID (PwID) and Epilepsy and for the design of these studies to be shaped by this complex and vulnerable population and those who care for and support them.AimsTo develop understanding as to how a future NHS genetic research database register for PwID and Epilepsy should be conducted in a way which is inclusive, suitable and appropriate for them, their carers and the NHS settings where the research would be undertaken.MethodsThree workshops were completed with 17 formal participants: (1) PwID and Epilepsy (n2); (2) carers of PwID and Epilepsy …

Involving Parents In Prevention: A Case Example Of Research And Intervention Development To Improve Financial Well-Being Support, Nick Axford, Gisella Hanley, Rebecca Summers, Kristin Liabo, Amy Bond, Eleanor Bryant, Georgia Smith, Rachel Silcock, Vashti Berry

Peninsula Medical School

The adverse effects on parent and child outcomes of poverty and stressors associated with low income are well established. With notable exceptions, however, the potential role of frontline services in improving family financial well-being is underexplored. This article outlines how patient and public involvement (PPI) was initiated early on in research on financial well-being support (FWbS). It illustrates how research can build on and integrate what parents say about services and how to research them. The involvement work was undertaken in one city in part to inform the adaptation of an income maximisation service to be delivered in local children’s …

Investigating The Impact Of Carboxylated Polystyrene Nanoplastics In The Liver Using Cell Lines And Precision-Cut Liver Slices, Namrata Pandey, Paula Boeira, Nathaniel J. Clark, Eleanor T. Walker, Somaiah Aroori, Jemimah Denson, Richard C. Thompson, Matthew E. Cramp, Shilpa Chokshi, Ashwin Dhanda

Peninsula Medical School

Background and Aims: Increasing reports of plastic accumulation in human tissue have raised concerns about potential adverse health outcomes. Evidence of negative effects of nanoplastics is heterogeneous and provides limited insights into the underlying pathogenic toxicity mechanisms in humans. Methods: In the present study, carboxylate-modified fluorescently labelled polystyrene nanoparticles (PS NPs) were used to investigate uptake and cytotoxicity in three different hepatic models of varying complexity, including HepG2 cells, IHH cells, and human precision-cut liver slices (hPCLS). Results: The results show model- and dose-dependent effects on hepatocytes. 74.2% ± 13.4% of the IHH cells showed PS NPs uptake at 0.1 …

Measuring Outcomes In Evaluations Of Interventions To Prevent Youth Crime And Violence: Challenges And Potential Solutions, Sajid Humayun, Finlay Green, Helen Downham, Nick Axford

Peninsula Medical School

There is a clear imperative to prevent youth crime and violence owing to the significant social and economic costs for individuals involved and wider society. A considerable evidence base for ‘what works’ in this space exists but gaps remain. To address these, it is necessary to evaluate intervention effectiveness. The aim of this article is to explore challenges and potential solutions regarding outcome measurement in such evaluations. To do this we draw on the literature and our experience as evaluators. We argue that outcome selection should be informed by a robust theory of change, and that normally this will mean …

Microplastics, Nanoplastics And Liver Disease: An Emerging Health Concern?, Shilpa Chokshi, Ashwin Dhanda, Matthew E. Cramp, Richard Thompson

Peninsula Medical School

Human liver tissue has been found to contain microplastics and nanoplastics (MNPs), with evidence that hepatic MNP accumulation has markedly increased over the past 10 years, prompting critical questions regarding their potential causal role in liver disease. In cell-based and murine models, MNP exposure can trigger oxidative stress, fibrogenesis and inflammation, pathological features that resemble those of advanced liver disease, suggesting shared mechanistic pathways. Furthermore, the capacity for MNPs to act as vectors for microbial pathogens, antimicrobial resistance, endocrine-disrupting chemicals and carcinogenic additives might have important implications for liver pathology. This Perspective examines emerging evidence on the consequences of MNPs …

Designing A Mobile App For Post Traumatic Stress Disorder: Insights From Lived Experience And Clinical Practice, Rohit Shankar, Richard Laugharne, Michael Loizou, Marius Varga, Sivia Lin, Bojana Daw Srdanovic, Roger Farrell

Peninsula Medical School

Post-traumatic stress disorder (PTSD) is a disabling anxiety disorder precipitated by severe trauma. Many people with this condition have little access to clinical interventions, especially in low-middle-income countries. For the development of any digital health intervention, it is vital to know the opinions of PLE and clinicians to guide the developers. We conducted two focus groups, one with clinicians (n = 5) and one with people with lived experience (PLE) (n = 11), to gain knowledge of their views on the development of a PTSD App. Transcripts of both focus groups were coded and thematically analysed. The key themes that …

Antigypsyism: Foundations Of An Ideology Of Hatred Towards Roma, Fernando Ruiz Molina, Zoë James

School of Law, Humanities and Social Sciences

Roma communities represent the largest ethnic minority in Europe (European Parliamentary Research Service, 2021), dating their presence from the fourteenth century onwards (Council of Europe [CoE], 2012a; CoE n.d.-a; End, 2012).¹Accord-ing to the Council of Europe, it is estimated that the population of Roma citizens living currently in Europe is around 10 to 12 million (CoE, 2012a). Despite their long-standing presence in European countries, Roma are hated within their own countries. From Eastern to Western Europe, animosity towards Roma centres on public acceptance of stereotypes of their criminality and lifestyles, leading to this minority group experiencing the most bias-motivated crime …

Toward Secure Complex Uav Cyber-Physical Systems: A Unified Threat Taxonomy And Cross-Layer Survey Of Cybersecurity Challenges, Muhammad Iftikhar Umrani, Bernard Butler, Aisling O’ Driscoll, Steven Davy

Research Outputs: 2025-Present

Autonomous Unmanned Aerial Vehicles (UAVs) are employed for a variety of purposes in civil and military applications, such as package delivery, disaster management, and more. Within the last decade, three characteristics, namely enhanced autonomy, onboard intelligence and situational awareness, have enabled UAVs to navigate their surroundings, make intelligent decisions, and perform tasks, either independently, or with limited direct human control. Therefore, such UAVs can be considered as complex cyberphysical systems. Whilst these developments enhance UAV capabilities, they also introduce unique cybersecurity challenges by expanding the attack surface through which adversaries can seek to disrupt missions, thereby compromising confidentiality, integrity, availability, …

Are Ocular Markers Of Sun Exposure Associated With Skin Cancer? A Cross-Sectional Analysis Of The Busselton Healthy Ageing Study, Gareth Lingham, Vinay Kumar Nilagiri, Holly Brown, Chrianna Bharat, Samantha S.Y. Lee, Maria Franchina, Michael Hunter, Kevin Murray, David Alonso-Caneiro, Catherine M. Olsen, David C. Whiteman, David A. Mackey

Research Outputs: 2025-Present

Background: Higher past sun or ultraviolet radiation exposure increases the risk of skin cancer and three common ocular findings: pterygium, conjunctival ultraviolet autofluorescence (CUVAF) and myopia. We investigated whether ocular markers of past sun exposure are associated with a history of skin cancer. Methods: A cross-sectional study of participants who attended the Phase 2 examination of the Busselton Healthy Ageing Study in Western Australia (2016–2022). Myopia was determined from autorefraction and pterygium and CUVAF from photographs of the anterior eye. Past diagnosis of a skin cancer was obtained from linked hospitalisation and cancer registry data (melanoma) or combining linked and …

Myopia And Eye Disease: From Correlation To Causation, James Loughman, Mark A. Bullimore, Daniel Ian Flitcroft

Research Outputs: 2025-Present

Myopia is increasingly recognised as a risk factor strongly linked to visual impairment and sight-threatening ocular disease rather than a simple refractive state. The assumption of causality to these secondary effects underpins myopia control and its long-term public health value. This review considers epidemiologic, longitudinal, mechanistic, interventional, natural-experiment, and genetic evidence to evaluate causality based on Bradford Hill's nine criteria: strength, consistency, specificity, temporality, biological gradient, plausibility, coherence, experiment, and analogy. The graded dose-response relationship between myopia and visual impairment has been demonstrated across multiple populations. Similar patterns are shown for a range of myopia-related ocular diseases. Risks for myopic …

Fault Tolerant Adaptive Control Under Actuator Saturation For Robot Manipulators, D. J. López-Araujo, N. Alvarez-Jarquin, P. Borja, A. T. Becker

School of Engineering, Computing and Mathematics

In practice, actuators inherently have natural limitations that are often overlooked by theoretical control strategies, such as bounded output and discrepancies between calculated and actual responses. Consequently, reliable control techniques must be employed to ensure safe and dependable operation. We propose an adaptive control law for global regulation in the case of partial loss of effectiveness due to input faults. The proposed control strategy maintains the system at the desired configuration while accounting for the physical limitations of the actuators. Additionally, it is suitable for dealing with unknown parameters in the vector of gravitational forces, making it robust to these …

Angle-Based Formation Stabilization And Maneuvers In Port-Hamiltonian Form With Bearing And Velocity Measurements, Ningbo Li, Pablo Borja, Arjan Van Der Schaft, Jacquelien M.A. Scherpen

School of Engineering, Computing and Mathematics

This paper proposes a port-Hamiltonian approach for angle-based formation stabilization and maneuvers using bearing and velocity measurements with an underlying triangulated Laman graph. The corresponding port-Hamiltonian controller is designed using virtual couplings on the errors of angle constraints in angle space. Then, the angle constraints and agent actuators are mapped by the constraint Jacobian, which can be applied to other formation constraints. In addition, to avoid unavailable distance terms in the control law, an estimator is designed based on port-Hamiltonian theory and the property that energy is coordinate-free for different sensor modalities using bearing and velocity measurements, which permits our …

Usable Authentication: Are We There Yet?, Nathan Clarke, Steven Furnell

School of Engineering, Computing and Mathematics

With technology increasingly embedded in everyday life, the demand for secure and usable authentication methods has never been greater. Traditional password-based systems continue to dominate, despite well-known usability and security challenges. This paper explores the evolution of user authentication technologies, from secret knowledge and tokens to biometrics and emerging approaches such as Passkeys. It critically evaluates the extent to which usability has been achieved, identifying both successes—such as biometrics integrated into smartphones—and persistent issues, including inconsistent guidance, ecosystem dependence, and accessibility barriers. Drawing on academic and commercial developments, the discussion highlights the growing burden on users who must authenticate across …

Rapid Electrochemical Biosensor With Enhanced Accuracy And Repeatability Using Pyrene Nhs Ester Modified 3d Graphene Electrodes, S. Nazir, D. Jenkins, G. Pan

School of Engineering, Computing and Mathematics

A consistent and reproducible chemical modification of the transducer interface is essential to ensure effectiveimmobilization of bioreceptors, thereby improving the sensitivity and reproducibility of biosensors. Althoughnotable progress has been made in fabricating graphene-based biosensors, the effects of surface biofunctionalization on sensing performance remain not fully understood. This study shows that combining threedimensional (3D) graphene foam electrodes with a straightforward, single-step surface biofunctionalizationmethod is key to enhancing the performance of graphene-based biosensors. Specifically, it presents a single-stepapproach to functionalize the 3D graphene foam (Gii-Sens) with 1-pyrenebutyric acid N-hydroxysuccinimideester (Pyrene-NHS ester). Electrochemical techniques, including cyclic voltammetry (CV) and differential pulsevoltammetry (DPV), confirmed …

From Predictions To Explanations: Explainable Ai For Autism Diagnosis And Identification Of Critical Brain Regions: 18th International Joint Conference, Biostec 2025, Kush Gupta, Amir Aly, Emmanuel Ifeachor, Rohit Shankar

School of Engineering, Computing and Mathematics

Autism spectrum disorder (ASD) is a neurodevelopmentalcondition characterized by atypical brain maturation. However, the adaptationof transfer learning paradigms in machine learning for ASD researchremains notably limited. In this study, we propose a computeraideddiagnostic framework with two modules. This chapter presents atwo-module framework combining deep learning and explainable AI forASD diagnosis. The first module leverages a deep learning model finetunedthrough cross-domain transfer learning for ASD classification. Thesecond module focuses on interpreting the model’s decisions and identifyingcritical brain regions. To achieve this, we employed three explainableAI (XAI) techniques: saliency mapping, Gradient-weighted Class ActivationMapping, and SHapley Additive exPlanations (SHAP) analysis.This framework demonstrates that …

Biocompatibility Of Silver And Hydroxyapatite Antimicrobial Nanocoatings On Titanium Alloy Dental Implants With Human Gingival Fibroblasts, S Morgan, R D Handy, V M Salih, R N Salaie, C J Tredwin, A Besinis

School of Engineering, Computing and Mathematics

OBJECTIVES: Peri-implantitis compromises soft and hard tissues around dental implants, often leading to implant failure. Antibacterial nanocoatings offer a promising infection control strategy, but maintaining biocompatibility is essential. This study investigated, through a range of assays and analytical techniques, the biocompatibility of antimicrobial silver and hydroxyapatite (HA) nanocoatings applied to titanium implants with human gingival fibroblasts (HGFs).

METHODS: Silver and hydroxyapatite nanocoatings were applied to the surface of titanium alloy specimens using electroplating, deposition and sintering techniques. The biocompatibility of the nanocoatings with HGFs was assessed by measuring cell metabolic activity (alamarBlue), lactate dehydrogenase (LDH) release, collagen production (Sircol assay), …

The Career Choices Of Final Year Nursing Students In The United Kingdom: A Qualitative Study., Kevin Hambridge, Frazer Underwood, Gosia Bettache, Matt Carey, Halil Kaya, Lisa Burrows, Rachel Tims, Christian Brailsford

School of Nursing and Midwifery

Aim: The aim of this study is to explore the career choices of final year under-graduate nursing students in the United Kingdom. Background: Worldwide there is a decreasing number of nurses and in the United Kingdom there is a decreasing amount of nursing students. There is sparce evidence relating to the career's choices of nursing students and reasons for those choices. Obtaining a deeper comprehension of these choices may aid healthcare employers, in partnership with universities, to design the future nursing workforce. Design: A qualitative design was used. Methods: Twenty-one final year under-graduate nursing students from across a range of …

Presence And Characteristics Of Plastics And Microplastics On The Seabed Of The Western English Channel, Faye Read, Andrew Turner

School of Geography, Earth and Environmental Sciences

Little is known about the presence, distribution, origins and characteristics of plastic litter and microplastics on the ocean floor. In this study, plastics trawled from the bed of the western English Channel have been categorised and analysed by a variety of optical and spectroscopic techniques. A total of 90 plastic samples were classified, in descending order of abundance, as food-drink packaging, unknown, homeware, military and fishing. Most samples showed varying degrees of weathering (e.g., discolouration, distortion, cracking, fragmentation) and were visibly fouled by calcareous deposits. The majority of samples were constructed of polymers of negative buoyancy (e.g., polyamides, polyethylene terephthalate …

A Unified Framework For Evaluating Training Efficiency In Deep (Bayesian) Neural Networks: Metrics, Overtraining, Stopping Criteria, And Grokking Computer Science, Eduardo Cueto Mendoza

Doctoral

Measuring training efficiency for artificial neural networks is an open research problem, current literature reports several attempts to define measures or create reporting frameworks. Current methods lack generality as they require measurements of the hardware or software thus, comparing efficiency between different systems can be difficult. Similarly, current metrics or frameworks generally do not propose the use of the metrics to directly improve training efficiency. This thesis presents three main contributions: (1) a novel framework that quantifies the training efficiency of a neural architecture on a learning task as the average ratio of model accuracy to total energy consumption during …

Job Satisfaction, Burnout, And Intent To Stay In Neonatal Nursing In England And Wales: A Cross-Sectional Survey Study, Kathy Chant, Yoko Nishimura, Aviva Petrie, Jos M. Latour, Nicola Booth, Kelly Crofts, Lisa Viola, Katie Gallagher

School of Nursing and Midwifery

Objective: To explore job satisfaction, burnout and intent to stay in neonatal nurses in England and Wales. Methods: A cross-sectional online survey study using the McCloskey Mueller Satisfaction Scale (MMSS) to explore job satisfaction, the Copenhagen Burnout Inventory (CBI) to explore burnout and the Nurse Retention Index (NRI) to measure intent to stay. All neonatal nurses working in England and Wales were eligible to take part. Data were collected between February and September 2024. Results: A total of 1590 neonatal nurses completed the survey. Job satisfaction was neutral. Moderate work burnout was reported, with statistically significant differences in mean score …

Why Do Women Pursue A Ph.D. In Computer Science?, Erika Ábrahám, Miguel Goulão, Milena Vujošević Janičić, Sarah Jane Delany, Amal Mersni, Oleksandra Yeremenko, Özge Büyükdağlı, Karima Boudaoud, Caroline Oehlhorn, Ute Schmid, Christina Büsing, Helen Bolke-Hermanns, Kaja Köhnle, Matilde Pato, Deniz Sunar Cerci, Larissa Schmid

Research Outputs: 2025-Present

Context: Computer science, even now, attracts a small number of women, and the proportion of women in the field decreases through advancing career stages. Consequently, few women progress to Ph.D. studies in computer science after completing master's studies. Empowering women at this stage in their careers is essential, not just for equality reasons, but to unlock untapped potential for society, industry and academia. Objective: This paper aims to identify students’ career assumptions and information related to Ph.D. studies focused on gender-based differences. We propose a program to inform female master students about Ph.D. studies that explains the process, clarifies misconceptions, …

Application Of Generative Artificial Intelligence By Nurse Academics In Higher Education: A Scoping Review, Jennifer Hamilton, Martina Costello, Lesley Barr, Simon Cooper, Martin Jones

Research outputs 2022 to 2026

Aim: To systematically map existing research on nurse academics incorporation of generative artificial intelligence when developing teaching and learning resources in higher education and to identify knowledge gaps and future research. Background: Generative artificial intelligence technology is rapidly evolving in healthcare and it's use in nursing higher education is developing. However, concerns regarding its adoption in higher education relate to academic integrity and ethical considerations, including privacy, confidentiality, bias and critical thinking development. Generative artificial intelligence tools present new pedagogy possibilities in nursing higher education; however, the scope and impact of its adoption is unclear. Methods: The Joanna Briggs Institute …

Beta-Band Modulation Reveals The Cortical Dynamics Of Auditory Statistical Learning In Children, Jarrad A.G Lum, Christine N. Moreau, Li Ann Leow, Welber Marinovic, Sarah J. Lum, Marc F. Joanisse, Laura J. Batterink

Research outputs 2022 to 2026

Children's ability to extract statistical regularities from speech is considered fundamental to lexical, syntactic, and grammatical development. However, the neural oscillatory mechanisms supporting this process in childhood remains poorly understood. While beta-band oscillations have been linked to statistical learning in visual and motor domains, it is unclear whether similar dynamics support auditory statistical learning in children. In this study, we recorded electroencephalography (EEG) from children aged 8–12 years as they listened to a continuous stream of trisyllabic nonwords (e.g., dapiku), where syllable order within each nonword was fixed (high predictability), but transitions between nonwords were variable (low predictability). Beta power …