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2026

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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 Jan 2026

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 …

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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 Jan 2026

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, …

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How Low Can We Go? Quantization Effects On Llm Sparql Generation, Matt Murtagh-White, P. J. Wall, Declan O’Sullivan Jan 2026

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 …

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A Review Of Data Interoperability As A Barrier To Non-Residential Building Energy Policy: Evidence From Ireland, Ankur Mitra, Kriti Bhalla, Ciara Ahern Jan 2026

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 …

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Shap-Rc: A Framework For Explaining Annotator Disagreement In Sexism Detection, Madhuri Sawant, Arjumand Younus, Simon Caton, M. Atif Qureshi Jan 2026

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 …

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Modeling The Proton Irradiation Resilience Of Perovskite Solar Cells, Ming Lang Tseng, Emad A.A. Ismail, Nima Ghadiri, Fuad A. Awwad Jan 2026

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: FA0.7Cs0.3Pb(I0.9Br0.1)3/C60 and Cs0.01MA0.01FA0.98PbI3/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 …

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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 Jan 2026

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 …

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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 Jan 2026

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 …

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Impact Of Protein Corona Morphology On Nanoparticle Diffusion In Biological Fluids: Insights From A Mesoscale Approach, Beatrice Cipriani, Hender Lopez Jan 2026

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 …

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Simulation Of Ion Migration In Perovskite Solar Cells At Elevated Temperature And Voltage Levels, Ali Hajjiah, Nima Ghadiri Jan 2026

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 …

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Cognitive Causal Modeling Of Blockchain Adoption In Agri-Food Supply Chains: A Fuzzy-Dematel Approach, Ali Ala, Behnam Malmir, Hamed Baziyad, Vladimir Simic Jan 2026

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 …

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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 Jan 2026

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).

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Modeling The Impact Of Proton Irradiation On Photoluminescence Spectra Of Perovskite Solar Cells, Ming Lang Tseng, Nima Ghadiri Jan 2026

Modeling The Impact Of Proton Irradiation On Photoluminescence Spectra Of Perovskite Solar Cells, Ming Lang Tseng, Nima Ghadiri

Research Outputs: 2025-Present

This study presents a comprehensive modeling approach to assess the impact of proton-irradiation on the photoluminescence (PL) response and current–voltage (JV) characteristics of CsMAFAPbI3/P3HT-based perovskite solar cell validated against experimental data reported in literature. Proton irradiation generates displacement damage across the cell structure most critically within the perovskite bulk where the defect density increases approximately linearly with increased fluence and decreases for high proton energies due to reduced non-ionizing energy loss (NIEL) at higher energies. To capture the optical degradation behavior, Time-Resolved PL transient (TRPL) and PL spectra were modeled using a fluence- and energy-dependent Kohlrausch model (stretched-exponential) …

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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 Jan 2026

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 …

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Axial Length To Corneal Curvature Ratio Is Insufficient For Detecting Pseudomyopia In Children: A Multi-Cohort Study, The Cream-Kids Consortium, Huyen T. Bui, Dirk J. Van Hemert, Tianli Peng, Shuhui Yang, Hai Yen T. Nguyen, Hannah Noor, Siofra C. Harrington, Sander C.M. Kneepkens, Lene A. Hagen, Craig S. Walker, Edward Mallen, Matthew Cufflin, Rigmor C. Baraas, Neema Ghorbani-Mojarrad, Olavi Pärssinen, Louise Terry, Shi Ming Li, Amanda N. French, Jason C. Yam, Caroline C.W. Klaver, Jeremy A. Guggenheim Jan 2026

Axial Length To Corneal Curvature Ratio Is Insufficient For Detecting Pseudomyopia In Children: A Multi-Cohort Study, The Cream-Kids Consortium, Huyen T. Bui, Dirk J. Van Hemert, Tianli Peng, Shuhui Yang, Hai Yen T. Nguyen, Hannah Noor, Siofra C. Harrington, Sander C.M. Kneepkens, Lene A. Hagen, Craig S. Walker, Edward Mallen, Matthew Cufflin, Rigmor C. Baraas, Neema Ghorbani-Mojarrad, Olavi Pärssinen, Louise Terry, Shi Ming Li, Amanda N. French, Jason C. Yam, Caroline C.W. Klaver, Jeremy A. Guggenheim

Research Outputs: 2025-Present

Purpose: Pseudomyopia is an accommodative disorder that can be identified by the difference between pre- and post-cycloplegic refractive error. The current study aimed to evaluate whether the axial length to corneal curvature (AL/CR) ratio, in conjunction with non-cycloplegic refractive error, can reliably identify pseudomyopia in children, thus avoiding the need for cycloplegia. Methods: Refractive error and biometry data from longitudinal studies based in Denmark (n = 645; age 7–17 years) and China (Anyang Childhood Eye Study; n = 2487; age 6–13 years) were used to train separate linear mixed models for children of European or East Asian ancestry, respectively, with …

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Health And Environmental Consequences Of Blue Light Exposure And Mitigation Strategies: A Review, Dr Hani Alkhatib, Brian Norton Jan 2026

Health And Environmental Consequences Of Blue Light Exposure And Mitigation Strategies: A Review, Dr Hani Alkhatib, Brian Norton

Research Outputs: 2025-Present

Blue light is a natural component of the visible spectrum that has a fundamental role in regulating circadian rhythms, visual performance, mood, and daytime alertness. In modern environments, however, exposure patterns have shifted due to widespread use of artificial lighting and digital devices. Artificial blue light exposure can be mistimed relative to the biological night. This literature review examines the consequences of inappropriately timed artificial blue light exposure. Specifically, the review covers: (i) the spectral biology of blue light and its role in circadian entrainment; (ii) the timing-, intensity-, and duration-dependent effects on human sleep, ocular health, mood, and metabolic …

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Regulatory Invisibility And Energy Poverty: Epc Exclusion, Traveller Mobile Homes And Ireland’S Low-Carbon Transition, Paul Lally, Ehiaze Ehimen, Mary Galvin, Ciara Ahern Jan 2026

Regulatory Invisibility And Energy Poverty: Epc Exclusion, Traveller Mobile Homes And Ireland’S Low-Carbon Transition, Paul Lally, Ehiaze Ehimen, Mary Galvin, Ciara Ahern

Research Outputs: 2025-Present

Energy Performance Certificate (EPC) systems play a central role in residential decarbonisation by determining how dwellings are assessed, benchmarked and made eligible for retrofit support. However, these systems are largely designed around conventional, permanent, site-built housing and can exclude non-standard dwelling types. This paper examines the exclusion of permanently occupied Traveller mobile homes from Ireland’s EPC framework and considers the implications for energy poverty, retrofit policy and energy justice. Using a critical narrative synthesis, the study integrates academic literature, statutory reports, policy documents and community-based evidence to trace the relationship between Traveller accommodation policy, regulatory classification and contemporary decarbonisation frameworks. …

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