Digital Commons Network^™

Nonlinear Differences In Postural Sway Across Attentional Focus Conditions In Individuals With And Without Anterior Cruciate Ligament Reconstruction, Natalie L. Ferguson, Brian L. Cone, Christopher K. Rhea, Anne Beethe, Breanna Studenka

Rehabilitation Sciences Faculty Publications

BACKGROUND: The structure of variability in postural sway reflects the adaptability and health of the postural control system. Entropy quantifies this structure by measuring the regularity of repeated fluctuations over time. Although entropy has been used to examine sway in neurological populations, little is known about how sway complexity changes following anterior cruciate ligament reconstruction (ACLR). Attentional focus may also influence postural control, with external focus typically promoting more efficient and automatic regulation than internal focus.

AIM: To examine how attentional focus (internal vs. external) influences the structure of postural sway in individuals with and without ACLR.

METHODS: Forty-three participants …

A Narrative Review Of Bertolotti's Syndrome: Etiology, Classification, Diagnosis, And Treatment, Matyas Abel Tsegaye, Andrea Muffly

Rehabilitation Sciences Faculty Publications

Bertolotti's syndrome is a congenital condition characterized by chronic low back pain stemming from a lumbosacral transitional vertebra (LSTV). Because the condition is frequently overlooked, patients often face years of delayed diagnosis before the true source of their pain is identified. Furthermore, current information regarding the biological origins and clinical management of the condition remain scattered. To address this knowledge gap, this narrative review aims to provide a comprehensive overview of Bertolotti’s syndrome by consolidating these disparate sources and suggesting new connections. We synthesize the latest understanding of this condition, ranging from its genetic origins to modern clinical management. We …

We-Making Through Technology: Social Cohesion And Virtual Adaptation In Community Arts Organizations For Artists With Idd During Covid-19 Pandemic, Yumi Shirai, Michelle Boulanger Thompson, Tamara Shetron

Rehabilitation Sciences Faculty Publications

COVID-19 public health restrictions disrupted in-person arts participation, increasing risks of social isolation and reduced community access. Prior research shows that many people engaged in home-based arts and cultural activities during lockdown, supporting emotional regulation, a sense of belonging, and social connection; however, little is known about how these shifts affected community arts organizations that serve artists with intellectual and/or developmental disabilities (IDD), a population disproportionately impacted by the pandemic and longstanding inequities. We examined how community-based arts organizations adapted programming for artists with IDD during the COVID-19 pandemic, including barriers and unanticipated outcomes relevant to equitable access and participation …

Eeg Signatures Of Motor Development In Early Childhood: A Systematic Review, Sonia Khurana, Ashwini Kulkarni, Thomas C. Bulea, Hunter J. Bennett

Rehabilitation Sciences Faculty Publications

Background

Early identification of motor developmental disorders is limited due to lack of objective neural markers that characterize typical neurodevelopmental patterns. This systematic review interprets and synthesizes existing evidence to propose a framework of EEG signatures associated with motor development in children aged 0-5 years, which may help inform future benchmarks for early assessment and intervention.

Methods

Following PRISMA guidelines, we searched published and gray literature across five databases between 2000 and 2025 (registered protocol). Included studies examined EEG during task-based, resting-state, or sleep studies linked to motor milestones, task performance, or standardized motor assessments. Study quality was assessed using …

The Epidemiology Of Catastrophic Head And Neck Injuries In High School And College Non-Football Sports: A 4-Decade Review, Courtney M. Meyer, Kristen L. Kucera, Samantha E. Scarneo-Miller, Zachary K. Winkelmann, Susan W. Yeargin

Rehabilitation Sciences Faculty Publications

Background:

Catastrophic head and neck injuries (CHNIs) in sport are rare but can have disabling or fatal outcomes. Prior studies have focused on football, equipment-laden sports, or different injury severities, not CHNI in nonfootball sports.

Purpose:

To describe the epidemiology of CHNI across levels (high school vs collegiate) in nonfootball sports and evaluate differences in injury rates (IRs) by sport, sex, and decade.

Study Design

Descriptive epidemiological study.

Methods:

This study utilized 40 academic years (1982-1983 to 2021-2022) of surveillance data from the National Center for Catastrophic Sports Injury Research. Descriptive statistics summarized athlete, event, and injury characteristics. IRs were …

Walking It Off: Habituation Of Gait At Virtual High Elevation, Kelly Poretti, Toby J. Ellmers, Christopher K. Rhea, Tiphanie Raffegeau

Rehabilitation Sciences Faculty Publications

Introduction: Fear and anxiety about falling can disrupt gait control, leading to activity restriction and increased fall risk in older adults. VR can be used to induce postural threat (e.g., by simulating high elevation settings) within a controlled environment, inducing fall-related anxiety and cautious gait (i.e. slower, shorter steps) in young and older adults. However, it is unknown how emotional and motor responses to VR postural threat habituate across time because existing studies feature short exposures (10 seconds or less). Before VR-induced postural threat can be translated into an intervention, it is critical to understand threat-related gait habituation across time. …

Hierarchical Clustering Reveals Multilevel Structure For Multifactorial Assessment In Community-Dwelling Older Adults, Brittany S. Samulski, Ashwini Kulkarni, Neda Moghim, Ross Gore, Soumya Banerjee, Christopher K. Rhea

Rehabilitation Sciences Faculty Publications

Multifactorial falls assessment is recommended for older adults at elevated risk but can generate numerous potentially overlapping measurements, increasing testing burden despite potentially diminishing informational returns as correlated measures are added. Characterizing how measures covary may inform subsequent efforts to evaluate more efficient assessment procedures. Community-dwelling older adults (n = 298) completed a single-visit assessment including the Physiological Profile Assessment (PPA), preferred- and maximal-speed walking, Montreal Cognitive Assessment (MoCA), and Modified Falls Efficacy Scale (MFES). Hierarchical agglomerative clustering was applied to 51 variables. Dendrogram fidelity, cluster separation, and resampling stability were evaluated using the cophenetic correlation coefficient (CCC), silhouette width, …

Organized Sports-Based Interventions And Motor Outcomes In Children Diagnosed With Autism Spectrum Disorder: A Systematic Review, Kailash Ram, Maeren Hill, Caitlyn Stewart, Kaitlin P. Hardy Md, Sonia Khurana

Rehabilitation Sciences Faculty Publications

Aim

To evaluate the effectiveness of organized sports-based interventions on motor outcomes in children with autism spectrum disorder (ASD).

Method

Four databases were searched from inception to November 2025 for randomized controlled trials (RCTs) and non-randomized controlled trials (NRCTs) reporting motor outcomes of organized sports-based interventions in children with ASD. Risk of bias was evaluated using ROB-2 (Cochrane Risk of Bias Tool, Version Two) for RCTs and ROBINS-I (Risk Of Bias In Non-randomized Studies - of Interventions) for NRCTs.

Results

Eleven studies (six RCTs, five NRCTs) were included and categorized as martial arts (n = 5), aquatic training (n = …

Patch-Moe Mamba: A Patch-Ordered Mixture-Of-Experts State Space Architecture For Medical Image Segmentation, Diego Adame, Fabian Vazquez Jr., Jose A. Nunez, Huimin Li, Jinghao Yang, Erik Enriquez, Dongchul Kim, Haoteng Tang, Bin Fu, Pengfei Gu

Computer Science Faculty Publications

CNN- and Transformer-based architectures have achieved strong performance in medical image segmentation, but CNNs are limited in modeling long-range dependencies, while Transformers often suffer from quadratic computational and memory complexity. State space models, especially Mamba-based networks, offer an efficient alternative with linear sequence complexity. However, existing Mamba segmentation models still face two limitations: pixel-wise directional scanning can disrupt local 2D spatial structure, and simple summation-based fusion of scan directions cannot adapt well to diverse object sizes, shapes, and boundaries. To address these issues, we propose Patch-MoE Mamba, a patch-ordered mixture-of-experts state space architecture for medical image segmentation. It introduces a …

Partnerships To Advance Patient Safety And Address Preventable Harm: Case Studies From International Health Care Leaders, Rachel Bonesteel, Robert Saunders, Tilithia Mcbride, Susan Sheridan, David W Bates, Mark Mcclellan, Charles H Kahn, Eyal Zimlichman

Faculty, Staff and Students Publications

There have been notable improvements in patient safety in recent years; however, significant challenges remain in reducing the incidence of preventable patient harm. Supporting patient safety efforts is increasingly important given increasing complexity of care and changing health needs, especially with aging populations. Emerging technologies and capabilities open new possibilities to address longstanding patient safety problems. For example, predictive analytics to support provider decision-making, increased patient interest in engagement in their care, and artificial intelligence provide opportunities to further reduce harm. Many of these examples support a more proactive approach to patient safety by focusing on anticipating, predicting, and preventing …

Campbell At 30: A Retrospective Appreciation, Michael W. Carroll, Peter Jaszi

Scholarly Articles in Law Reviews & Journals

This Article traces the intellectual history of copyright law’s fair use doctrine at the Supreme Court from its first encounter with fair use to its landmark decision slightly more than three decades ago in Campbell v. Acuff-Rose Music, Inc. Campbell provided courts with a coherent, user-centered theory for applying the four statutory fair use factors provided under 17 U.S.C. § 107, a standard the Court recently ratified in Google LLC v. Oracle Am., Inc. and Andy Warhol Foundation for the Visual Arts v. Goldsmith. As one of three related articles, this Article advances two principal claims to contribute to …

Lunch Shaming And The Right To Privacy, Ira P. Robbins

Scholarly Articles in Law Reviews & Journals

Lunch shaming is the practice of penalizing students who cannot afford to pay for their meals, resulting in them being denied food, served alternative meals, or publicly identified. The origins of lunch shaming can be traced to the financial pressures faced by school districts that struggle to balance tight budgets with the mandate to provide free or reduced-price meals to eligible students. Despite legislative efforts and advocacy campaigns aimed at mitigating the problems associated with lunch shaming, the practice persists, exacerbated by rising food costs and the expiration of pandemic-era food programs.

Many law journal and other articles have correctly …

Originalism As Disruption, Susan D. Carle

Scholarly Articles in Law Reviews & Journals

This Article challenges the conventional understanding of originalism as a method that promotes unchanging constitutional meanings. Drawing on four and a half decades of experience since Attorney General Edwin Meese first championed originalism as a conservative project, this Article demonstrates that originalism has generally proven destabilizing rather than stabilizing to constitutional law. Landmark cases such as New York State Rifle & Pistol Association v. Bruen, Students for Fair Admissions, Inc. v. President & Fellows of Harvard College, and Shelby County v. Holder show that the Supreme Court frequently deploys originalism when it seeks to upend settled constitutional doctrine, contradicting claims …

Law’S Limits: Abortion And The Social Determinants Of Health, Maya Manian

Scholarly Articles in Law Reviews & Journals

After Dobbs: How the Supreme Court Ended Roe but Not Abortion (“After Dobbs”) is a prescient and timely response to the U.S. Supreme Court’s 2022 decision in Dobbs v. Jackson Women’s Health Organization, which overturned Roe v. Wade and upended nearly five decades of constitutional protection for abortion. In this meticulously structured oral history, law professor David S. Cohen and sociologist Carole Joffe center the voices of abortion providers, clinic administrators, funders, and advocates from across the country. After Dobbs, not only documents the extraordinary persistence of abortion supporters in the face of legal devastation but also bears witness to …

Myopiax-1 Safety And Efficacy Of A Novel Approach To Slow Juvenile Myopia Progression: A Multicenter, Randomized, Controlled Trial, Myopiax-1 Study Group, James Loughman, Gareth Lingham, Hakan Kaymak, Katrin Lorenz, Jan Roelof Polling, Anna Beck, Gonzalo Carracedo, Annegret H. Dahlmann-Noor, Philipp L. Müller, Ian Flitcroft

Research Outputs: 2025-Present

Purpose: To investigate the safety, tolerability, and signals of effect of MyopiaX, a smartphone app that selectively delivers blue light to the optic nerve head to control myopia progression in children and adolescents. Design: Multicenter, randomized, active-controlled, examiner-masked proof-of-concept clinical trial (ClinicalTrials.gov identifier NCT04967287). Participants: Eligible children aged 6 to 12 years, with myopia of cycloplegic spherical equivalent refraction (SER) between –0.75 and –5.00 diopters (D) at baseline. Children were screened and enrolled between November 2021 and September 2023. Methods: Children were randomly assigned in a 2:1 ratio to MyopiaX or active control. Participants were instructed to use MyopiaX for …

Readability Of Online Patient Education Materials For Myopia Management, Monica Jong, Michelle Waugh, Pinar Ozmizrak, Ian Flitcroft

Research Outputs: 2025-Present

Purpose: Patients are turning to the internet to access educational materials to help them make healthcare decisions, making readability an important factor. This cross-sectional study assessed the readability of online patient education materials for myopia management treatments that have regulatory approval. Methods: The top 10 Google search results from May 2024 for freely available online patient information on myopia management modalities and regulatory-approved products in Canada and Australia were analysed for readability. The modalities included orthokeratology, myopia control spectacle lenses, myopia control soft contact lenses and atropine. The products included MiYOSMART® [HOYA®], Stellest® [Essilor®], MyoCare® [ZEISS], MiSight® 1 day [CooperVision®], …

E-Profits: A Business-Aligned Evaluation Metric For Profit-Sensitive Customer Churn Prediction, Awais Manzoor, M. Atif Qureshi, Etain Kidney, Luca Longo

Research Outputs: 2025-Present

Retention campaigns in customer relationship management often rely on churn prediction models evaluated using traditional metrics such as AUC and F1-score. However, these metrics fail to reflect financial outcomes and may mislead strategic decisions. We introduce e-Profits, a novel business-aligned evaluation metric that quantifies model performance based on customer lifetime value, retention probability, and intervention costs. Unlike existing profit-based metrics such as Expected Maximum Profit, which assume fixed population-level parameters, e-Profits uses Kaplan–Meier survival analysis to estimate tenure-conditioned (customer-level) one-period retention probabilities and supports granular, per-customer profit evaluation. We benchmark six classifiers across two telecom datasets (IBM Telco and Maven …

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 …

Exploring Characteristics And Systemic Health Links In Myopic Australian Adults, Pauline Kang, Gareth Lingham, Angelica Ly, Xianwen Shang, Regan Ashby, Serge Resnikoff, Fiona Stapleton, David Mackey

Research Outputs: 2025-Present

Background: Data on myopia prevalence in Australia and associations with common systemic conditions and quality of life are limited. This study aimed to profile Australian adults self-reporting to have myopia, including co-morbidities and quality of life. Methods: This research included participants from the ongoing longitudinal 45 and Up Study. Sex and education data were collected at the baseline survey and additional data from the follow-up Health Compass survey. Responses on self-reported myopia, health and quality of life were analysed with logistic regression to assess the association between myopia and health conditions. Results: Of the 21,384 participant responses, 54.3% self-reported myopia, …

How Low Can We Go? Quantization Effects On Llm Sparql Generation, Matt Murtagh-White, P. J. Wall, Declan O’Sullivan

Research Outputs: 2025-Present

SPARQL is a powerful but complex language for querying knowledge graphs, motivating research into natural language-to-SPARQL generation using large language models (LLMs). While large, proprietary LLMs excel at this task, their resource requirements can limit practical deployment. This paper evaluates smaller, open-source LLMs (0.5B–9B parameters) with quantization methods (8-bit and 4-bit compression) to balance computational efficiency and query generation performance. Our findings demonstrate that 8-bit quantization can maintain or enhance performance in smaller models, whereas 4-bit quantization leads to notable degradation, especially for larger models. This highlights the potential of quantized, smaller LLMs for SPARQL generation in resource-constrained scenarios and …

A Review Of Data Interoperability As A Barrier To Non-Residential Building Energy Policy: Evidence From Ireland, Ankur Mitra, Kriti Bhalla, Ciara Ahern

Research Outputs: 2025-Present

Non-residential buildings account for a significant share of energy use and greenhouse gas emissions across the EU, yet evidence-based policy development remains hindered by fragmented and non-interoperable building data systems. This study evaluates the suitability of publicly available electronic datasets for characterising Ireland’s non-residential building stock and supporting bottom-up energy modelling in the context of the recast Energy Performance of Buildings Directive (EPBD 2024/1275/EU).A systematic scoping review of national government and institutional datasets was conducted using an adapted PRISMA-ScR approach. The analysis identified the national Energy Performance Certificate database and GeoDirectory as the only datasets with sufficient scale and detail …

Shap-Rc: A Framework For Explaining Annotator Disagreement In Sexism Detection, Madhuri Sawant, Arjumand Younus, Simon Caton, M. Atif Qureshi

Research Outputs: 2025-Present

The effectiveness of supervised machine learning models is heavily influenced by the quality of training data, which is often shaped by human annotators. Subjective NLP tasks such as hate speech detection, toxicity identification, and sexism classification frequently exhibit annotator disagreement due to differences in individual perspectives. This study investigates annotator disagreement in sexism detection using English tweets from the EXIST 2023 competition. To systematically analyse disagreement, tweets are categorised based on annotator consensus levels, examining how annotator demographics and linguistic features contribute to labelling inconsistencies. We interpret disagreement patterns using Shapley Additive Explanations (SHAP) and assess the consistency of SHAP-derived …

Modeling The Proton Irradiation Resilience Of Perovskite Solar Cells, Ming Lang Tseng, Emad A.A. Ismail, Nima Ghadiri, Fuad A. Awwad

Research Outputs: 2025-Present

This study introduces a semiclassical modeling for the impact of proton irradiation on two perovskite solar cell structures: FA_0.7Cs_0.3Pb(I_0.9Br_0.1)₃/C₆₀ and Cs_0.01MA_0.01FA_0.98PbI₃/P3HT using coupled current-continuity and rate equations linked to irradiation-induced defect-generation rate. Results reveal a strong dependence of radiation response on perovskite composition. Proton irradiation can induce both ionizing and displacement damage in perovskite solar cells leading to vacancy and defect generation. The result is increased recombination and degradation of performance parameters (reduced fill factor and efficiency) or, otherwise, annihilation of …

Sustainable Closed-Loop Supply Chain Network Design Under Uncertainty Using A Fuzzy Multi-Objective Optimization Framework For The Battery Industry, Mahdi Yousefi Nejad Attari, Sahar Rezanejad, Ali Ala, Vladimir Simic, Dragan Pamucar

Research Outputs: 2025-Present

The study presents a sustainable closed-loop supply chain network that integrates financial, environmental, and social objectives within a context of uncertainty. A fuzzy-based modeling approach is introduced to address uncertainty in customer demand, cost parameters, and carbon emission coefficients across the sustainable closed-loop supply chain network. Two metaheuristic methods, the non-dominated sorting genetic algorithm II (NSGA-II) and multi-objective particle swarm optimization (MOPSO), are employed to address the problem and are compared against each other. A practical case study of a battery company is employed to validate the framework. The findings indicate that MOPSO surpasses non-dominated sorting genetic algorithm II in …

Snif: Explainability-Driven Feature Selection Through State-Of-The-Art Shap–Nca Intersection Framework For Malware Detection, Sadia Nazim, Syed Shujaa Hussain, Bilal Yousuf, Jawahir Che Mustapha

Research Outputs: 2025-Present

Modern malware detection rely on Deep neural networks to achieve high detection performance by leveraging a large feature space. However, these models often suffer from high dimensionality, limited interpretability, and reduced reliability due to redundant features. As a result, they obscure the true contribution of features to the rationale for the prediction. To address these challenges, this study proposes an explainability-aware feature pruning technique to improve the performance and efficiency of deep neural networks. The key focus of this study is the development of the novel SHAP–NCA Intersection Framework (SNIF), which integrates explainability with feature selection for efficient and trustworthy …

Impact Of Protein Corona Morphology On Nanoparticle Diffusion In Biological Fluids: Insights From A Mesoscale Approach, Beatrice Cipriani, Hender Lopez

Research Outputs: 2025-Present

Nanoparticles (NPs) demonstrate considerable potential in medical applications, including targeted drug delivery and diagnostic probes. However, their efficacy depends on their ability to navigate through the complex biological environments inside living organisms. In such environments, NPs interact with a dense mixture of biomolecules, which can reduce their mobility and hinder diffusion. Understanding the factors influencing NP diffusion in these environments is key to improving nanomedicine design and predicting toxicological effects. In this study, we propose a computational approach to model NP diffusion in crowded environments. We introduce a mesoscale model that accounts for the combined effects of the protein corona …

Simulation Of Ion Migration In Perovskite Solar Cells At Elevated Temperature And Voltage Levels, Ali Hajjiah, Nima Ghadiri

Research Outputs: 2025-Present

A coupled modeling approach based on Sah-Noyce-Shockley theory has been developed to simulate the ion migration in perovskite solar cells under elevated temperature and bias levels. The model considers the migration of cations (MA⁺) and anions (I⁻) across the structure of a MAPbI₃ solar cell (TiO₂/Perovskite/Spiro) demonstrating how at elevated temperature and applied voltage levels, the ion can migrate with different speed and the ion concentration profiles can influence the device performance parameters. Results reveal that low-energy ions migrate rapidly toward the interfaces under forward or reverse bias, with cation concentrations reaching ∼10 …

Cognitive Causal Modeling Of Blockchain Adoption In Agri-Food Supply Chains: A Fuzzy-Dematel Approach, Ali Ala, Behnam Malmir, Hamed Baziyad, Vladimir Simic

Research Outputs: 2025-Present

Background / Introduction: Blockchain can improve agri-food supply-chain transparency, but adoption decisions are cognitively complex because managers judge interdependent criteria under uncertainty. This study frames adoption as cognitive causal decision modeling, aligning with cognitive computation through expert judgment, linguistic uncertainty, causal reasoning, and explainable decision support. Methods: We applied Fuzzy Decision-Making Trial and Evaluation Laboratory (Fuzzy-DEMATEL) to judgments from 20 experts. Eight technology-adoption criteria were modeled using triangular fuzzy numbers, and an impact relationship map was used to classify criteria by outgoing influence (R), incoming influence (C), prominence (R + C), and net causality (R − C). Results: Smart Contracts …

Negligible Rebound In Myopia Progression Following Cessation Of Treatment With 0.01% Atropine For 3 Years: Year-4 Results From The Champ Phase 3 Clinical Trial, Champ Trial Group Investigators, Karla Zadnik, Erica Schulman, Ian Flitcroft, Jennifer S. Fogt, Louis C. Blumenfeld, Tung M. Fong, Eric Lang, Simon P. Chandler, Houman D. Hemmati

Research Outputs: 2025-Present

Introduction: Stage 2 of the Childhood Atropine for Myopia Progression (CHAMP) study was conducted to observe the safety, efficacy and rebound effects of low-dose atropine sulphate ophthalmic solutions (0.01% and 0.02%) for paediatric myopia in the year following cessation of 3 years of prior treatment. Methods: The study was a multicentre, randomised, double-masked, placebo-controlled Phase 3 clinical trial. Children aged 3 to < 17 years with myopia (spherical equivalent refractive error (SER) from −0.50 to −6.00 D) who entered and completed Stage 1 (3 years of treatment) participated in the fourth-year follow-up (Stage 2). Stage 1 participants who were treated with atropine 0.01% or 0.02% were re-randomised 1:1:1 to atropine 0.01%, atropine 0.02% or vehicle in Stage 2. Stage 1 vehicle-treated participants were re-randomised 1:1 to atropine 0.01% or atropine 0.02% in Stage 2. Outcomes included changes in cycloplegic SER, changes in axial length (AL), responder status continuity and progression to high myopia. Results: Four hundred and twenty participants were randomised in Stage 2. Negligible rebound was observed among the participants who switched from 0.01% atropine to vehicle compared to those who continued on 0.01% atropine treatment (least square mean difference in SER change from Month 36 to Month 48 between continued treatment and switching to vehicle = 0.019 D, 95% CI [−0.14, 0.18], p = 0.82 for the modified Intent to Treat set). Stage 1 responders remained responders in 83-90% of participants in various Stage 2 groups. Safety profiles were favourable, with mild, transient adverse events. Conclusions: Atropine sulphate ophthalmic solution (0.01%) exhibited negligible rebound in myopia progression after treatment cessation following 3 years of continued treatment, highlighting its potential as a treatment option. The treatment maintained a favourable safety record, and the overall benefit and risk assessment support its potential use as a long-term myopia management option. Clinical trial registration: The Childhood Atropine for Myopia Progression (CHAMP) study was registered in clinicaltrials.gov (NCT03350620, registration date November 17, 2017).

Ocular Dominance Is Associated With Interocular Asymmetry In Refractive Error And Axial Length Across Childhood And Early Adulthood, Síofra C. Harrington, Gareth Lingham, James Loughman, Ian Flitcroft, David A. Mackey, Michael Moore

Research Outputs: 2025-Present

Purpose: To determine whether ocular dominance is associated with systematic interocular asymmetry in spherical equivalent refraction (SER) and axial length (AL) across childhood and early adulthood, and assess whether such asymmetry exceeds laterality effects. Methods: Data were analysed from three population-based cohorts: 728 children (6–7-year-olds) and 898 adolescents (12–13-year-olds) from Ireland and 303 young adults (25–30-year-olds) from Western Australia. Ocular dominance was assessed using sighting tests. SER was measured by cycloplegic autorefraction and AL by optical biometry. Interocular differences were evaluated using paired comparisons, concordance correlation coefficients (CCC), Deming regression, Bland–Altman analyses and mediation modelling. Analyses were stratified by refractive …