Digital Commons Network^™

Identifying And Defining Kickout Strategies In Senior Inter-County Ladies Gaelic Football, Aoife Mccolgan, Jonathan Bradley, Denise Earle, David Gaul, Denise Martin

Research Outputs: 2025-Present

The kickout has become a key source of possession in Ladies Gaelic Football (LGF), with successful teams winning 80% of their own and 29% of the opposition kickouts (KO). Several investigators have alluded to the role of strategy in Gaelic games; however, none have successfully identified, defined, or measured the impact of these strategies on the game. This novel study aims to identify and define the strategies used by Senior Inter-County LGF teams to win their own and opposition KOs, developing a valid and reliable analysis system to analyse KO performance in LGF. Eighty-nine games (2172 kickouts) from the 2019–2023 …

An Unsupervised Learning Approach To Optimising Tumour Therapy Through Clinical Data Mining, Eleni Rozaki, Christina Skourou, David Fitzpatrick, Michael Amoo, Eoin Minnock, Caroline Hayhurst, Nachi Palaniappan, Mohsen Javadpour

Research Outputs: 2025-Present

Clinical data mining and healthcare analytics enable systematic evaluation of treatment strategies in precision oncology. This study analysed a harmonised multi-centre dataset of 150 patients treated with linac-based stereotactic radiosurgery for vestibular schwannoma across three institutions in Ireland and the UK. A data-driven framework combining descriptive analytics, unsupervised clustering (K-means and Gaussian Mixture Models), and Random Forest modelling was used to assess treatment plan consistency, explore dose–response patterns, and estimate clinical outcomes. Clustering identified four treatment plan groups with distinct profiles of tumour reduction and organ-at-risk exposure. Random Forest models linked these clusters and dosimetric factors with tumour control 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 …

Teaching Primary And Secondary Computing: A Comparative Study Of Classroom Practices And Resources In The Uk And Ireland, Robert Whyte, Diana Kirby, Elizabeth Cole, Tom Crick, Nicola Looker, Keith Quille, Sue Sentance

Research Outputs: 2025-Present

Background and Context: As more K–12 teachers are required to teach computing, there is a need to understand how it is enacted in classrooms. In addition, many non-specialists are teaching computing for the first time. Objective: We set out to better understand how computing is currently being taught across five jurisdictions in the UK and Ireland. The aim of the study was to understand CS teaching practices, including the use of certain approaches and resources in the computing classroom. Method: We analysed survey data from 475 primary and secondary teachers across a number of relevant categories: teachers’ use of CS …

Preface, Páraic Carroll, Beatriz Martinez-Pastor, Bidisha Ghosh, Marina Efthymiou, Nikolaos Valantasis-Kanellos, Ciaran Mcnally

Research Outputs: 2025-Present

No abstract provided.

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 …

Modeling The Proton Irradiation Resilience Of Perovskite Solar Cells, Ming Lang Tseng, Emad A.A. Ismail, Nima E. Gorji, 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 …

In Vitro Efficiency Analysis Of Different Β-Tri-Calcium Phosphate And Hydroxyapatite Doped Bacterial Cellulose-Polyvinylpyrrolidone Composite Hydrogel For Bone Tissue Repair, Probal Basu, Nabanita Saha, Radostina Alexandrova, Boika Andonova Lilova, Maya Argirova, Petr Saha

Research Outputs: 2025-Present

The study emphasizes an in-depth in vitro efficiency analysis of bacterial cellulose (BC)-polyvinylpyrrolidone (PVP) composite hydrogel scaffolds which are doped with different concentrations of β-tri-calcium phosphate (β-TCP) and hydroxyapatite (HA). The hydrogels are prepared with the natural polymer, BC, and synthetic polymer, PVP. Polyethylene glycol (PEG) is also used as an anti-cytotoxic agent and agar is used as a gelling agent. β-TCP and HA were given in the ratio (w/w): 20:80 (BC-PVP- β-TCP/HA_20:80), 40:60 (BC-PVP-β-TCP/HA_40:60), 50:50 (BC-PVP-β-TCP/HA_50:50). In vitro efficacy of the different tri-calcium phosphate (β-TCP) and hydroxyapatite BC-PVP composite hydrogel scaffolds are analyzed through comparative analysis of the cell …

Virtual Screening Of Phytochemicals From Medicinal Plants As Promising Pde5 Inhibitors Against Erectile Dysfunction, Farouk Boudou, Alaeddine Berkane, Amal Belakredar, Ahcene Keziz, Huda Alsaeedi, Brian A. Murray, Mikhael Bechelany, Ahmed Barhoum

Research Outputs: 2025-Present

This study evaluates bioactive phytochemicals from Algerian medicinal plants as potential phosphodiesterase-5 (PDE5) inhibitors for the treatment of erectile dysfunction (ED) using an integrated in silico approach. A total of 76 compounds from 48 plant species were screened for drug-likeness using SwissADME. Overall, 72% of the compounds complied with Lipinski's Rule of Five, indicating favorable oral bioavailability, while toxicity prediction identified 29 non-toxic candidates. Molecular docking was validated by redocking the co-crystallized PDE5 ligand (RMSD = 0.264 Å). Ellagic acid (−9.4 kcal·mol⁻¹), rosmarinic acid (−9.2 kcal·mol⁻¹), salvinorin A (−9.2 kcal·mol⁻¹), and catechin (−9.0 kcal·mol …

Alignment Of The Planetary Health Diet With Pregnancy Dietary Guidelines: Insights From Two Cohorts, Aoife Davis, Sophie Callanan, Gillian A. Corbett, Eileen C. O’Brien, Alexander Douglass, Fionnuala M. Mcauliffe

Research Outputs: 2025-Present

The Planetary Health Diet (PHD) is a mostly plant-based diet that aims to optimise human health whilst minimising the environmental impact of food production. Limited data exists on whether the PHD fulfils key nutritional requirements during pregnancy. This research aimed to examine the PHD in early pregnancy and how it aligns with daily nutrient intake and European Food Safety Authority (EFSA) dietary guidelines. Pregnant women (n=678) from two Irish cohorts (ROLO and MicrobeMom) were analysed. Dietary intakes in early pregnancy were determined using a 3-day food diary and used to calculate PHD Index (PHDI) scores. Women were dichotomised by the …

A Method For Determining A True National Statistical Distribution Of Building Element U-Values And Its Application To A Dataset Underpinning A Building Stock Energy Model, C. Ahern, B. Enright, A. Griffin, B. Norton

Research Outputs: 2025-Present

The presence of default U-values in Energy Performance Certificate (EPC) databases disrupts the natural variability in measured U-value distributions. Default values, often used by assessors when empirical data is unavailable, introduce deterministic artefacts into datasets, creating artificial peaks that obscure underlying statistical patterns. This study examines the impact of these default values and identifies appropriate statistical models – Lognormal, Gamma and Normal – for measured U-values in Ireland’s national EPC dataset, comprising 463,582 dwellings. Lognormal and Gamma distributions aligned better with the central peaks, while the Normal distribution more accurately captured the tails. Although no single distribution perfectly fits the …

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

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 …

Fluid Dynamics Of A Microfluidic Micromixer–Micropump Driven By Adjacent Micro Synthetic Jets, Delara Soltani, Tim Persoons, Sajad Alimohammadi

Research Outputs: 2025-Present

Efficient mixing at the microscale remains a significant challenge in microfluidic systems due to the dominance of laminar flow and the consequent limitation of convective transport. Synthetic jets, generated by the oscillatory motion of a diaphragm within a cavity, produce a zero net mass flux while imparting periodic momentum to the surrounding fluid, thereby enabling localised flow perturbation and vortex generation that can substantially enhance mixing and mass transfer in microchannels. In this study, a pair of adjacent micro synthetic jets (AMSJs) is positioned perpendicularly to a microchannel to investigate their potential as a novel micropump-mixer. The vectoring effect of …

Dye Removal By Adsorption Using Fe₃O₄ And Ε-Fe₂O₃-Based Kaolinite Nanocomposites Synthesized With An Apricot Kernels Shell Extract, Ben Kouider Tayeb, Souli Lahcene, Derouiche Yazid, Messaoudi Mohammed, Taoufik Soltani, Huda Alsaeedi, David Cornu, Mikhael Bechelany, Ahmed Barhoum

Research Outputs: 2025-Present

In this study, Fe₃O₄/kaolinite and ε-Fe₂O₃/kaolinite nanocomposites were synthesized using apricot kernel extract as a green reductant. The prepared nanocomposites were characterized and evaluated for their adsorption efficiency in removing methylene blue (MB) from aqueous solutions. The synthesis was carried out at 80 °C using iron chloride precursors (FeCl₃·4 H₂O and FeCl₂·6 H₂O) and kaolinite. The nanocomposite physicochemical characterization (X-ray diffraction, scanning electron microscopy, Fourier transform infrared spectroscopy, thermogravimetric analysis and differential scanning calorimetry) confirmed the incorporation of crystalline Fe₃O₄ and ε-Fe₂O₃ structures in the kaolinite matrix (particle sizes from 30 to 70 nm). Adsorption experiments showed that 4 mg …

Testarticlejun20two, Abdul Rizwan

Research Outputs: 2025-Present

No abstract provided.

Challenges And Prospects Of Polymeric Biomaterials In Immune Engineering: A Review, Boyka Andonova Lilova, Desislav Dinev, Probal Basu

Research Outputs: 2025-Present

Immune engineering is a vast and rapidly developing field with a strong focus on polymeric materials. The importance of these biomaterials in immune engineering revolves around their ability to provide bioactive molecules to the target site, which influences the immune system. Their functional performance depends on various structural and functional properties of the biomaterial, which are also influenced by the host immune microenvironment. This work focuses on the current state of the art, the attributes of polymer-based biomaterials, and their limitations in immune engineering applications. This review not only elaborates on the advantages of polymeric biomaterials in immune engineering but …

A Virtual Model Of Data Centre Cooling, Younis Osama Abdelsalam, Tim Persoons, Sajad Alimohammadi

Research Outputs: 2025-Present

This study presents a calibrated, hybrid spreadsheet-based model developed to simulate the cooling energy consumption of a commercial-scale data centre in Dublin, Ireland. The model leverages five years of high-resolution, sub metered data, including chilled water flow rates, ambient conditions, and IT electrical load, offering a rare empirical foundation for system-level energy analysis. Existing modelling approaches often rely on simplified laboratory case studies, synthetic datasets, or isolated component analysis, limiting their relevance to operational facilities. This study introduces an innovative hybrid modelling framework that bridges the gap between black-box machine learning and rigid physics-only simulations. A key innovation is the …

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

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) …

Editorial: Harnessing Of Soil Microbiome For Sustainable Agriculture: Harnessing Of Soil Microbiome For Sustainable Agriculture, Debasis Mitra, Marika Pellegrini, Leonard Koolman

Research Outputs: 2025-Present

No abstract provided.

Shining Light On Infection Control: Tio2–Graphene Hybrids As Next-Gen Germicidal Platforms, Mirela Petruta Suchea, Petronela Pascariu, Ioan Valentin Tudose, Maria Orfanou, George Kenanakis, Emmanouel Koudoumas, Stefan Bucur, Ryan Walden, Keerthi M. Nair, Christopher Golden, Mary Heneghan, Suresh C. Pillai, Finn Purcell-Milton, Declan Mccormack

Research Outputs: 2025-Present

The development of next-generation germicidal platforms is a critical response to rising microbial resistance and the global demand for sustainable disinfection technologies. This review offers a comprehensive analysis of hybrid materials based on pure and doped titanium dioxide (TiO₂) and graphene, focusing on their synergistic potential for enhanced germicidal applications. The paper begins with a brief overview of the structural, optical, and electronic properties of TiO₂ and graphene relevant to photocatalysis and antimicrobial activity. Recent advances in TiO₂ bandgap engineering-via doping and nanostructuring-are discussed in connection with improved UV and visible light–driven photocatalytic performance. In parallel, …

Retrospective Accuracy Comparison Of Marker-Based And Marker-Free Registrations Using Dynamic Implant Navigation, Zhiyi Zhu, Shikai Zhao

Journal of Dental Sciences

No abstract provided.

Orthokeratinized Odontogenic Cyst Of The Mandible - A Case Report, Hung-Pin Lin, Chun-Pin Chiang

Journal of Dental Sciences

No abstract provided.

Investigating Sex Differences In The Regulation Of Conditioned Morphine Reward By Orexin, Farzana Akter Koly

Psychology Theses

Strong activation of the brain’s reward circuitry by morphine and morphine-associated cues drives the progression toward morphine abuse. Additionally, orexin neurons in the lateral hypothalamus (LH) are activated in response to cues paired with morphine reward. The orexin system, particularly the orexin-1 receptor (OX1R) regulates reward-seeking behavior through its activation. Despite the well-established role of orexins in reward-related behaviors, the specific contribution of OX1R in morphine-associated reward remains unclear. Furthermore, while sex differences in drug reward and reward-related behaviors are well documented, they remain unexplored in the regulation of morphine-associated reward by orexins. To address this gap, the present study …

Characterizing Gut Microbial Communities And Symbiont-Mediated Detoxification In Herbivorous Insects, Rachel C. Vargas

Biology Dissertations

Insect gut bacteria are vital contributors to host physiology, yet the broader prevalence and fitness implications of symbiont-mediated detoxification remain poorly understood. This thesis investigates these dynamics across three research chapters. Chapter 1 uses 16S rRNA sequencing to characterize how grasshopper gut microbial communities vary across species, dietary breadths, and gastrointestinal segments. Chapter 2 evaluates the detoxification capacity of over 150 bacterial isolates from diverse herbivores against the plant allelochemicals phenethyl isothiocyanate, rutin, and chlorogenic acid to determine if host dietary specialization predicts microbial metabolic ability. Finally, Chapter 3 employs fitness bioassays to test whether inoculating generalist herbivores with detoxifying …

Sewer Pipe Condition Assessment Using An Ensemble Machine Learning Framework For Infrastructure Decision Support, Mahnaz Rouhi

Civil Engineering Dissertations

Aging wastewater infrastructure presents significant challenges for municipalities across the United States, with many sewer networks approaching or exceeding their design life. Conventional inspection methods, such as closed-circuit television (CCTV), are limited by subjectivity, cost, and inefficiency. To address these challenges, this study develops an ensemble machine learning framework for assessing the structural condition of sewer pipelines using inspection records enriched with geospatial attributes.

The primary objective of this research is to enhance predictive accuracy, interpretability, and decision-support for risk-based asset management. The scope of the study encompasses 4,802 CCTV inspection records from Dallas, TX, and Tampa, FL, integrating physical, …

Videoscoop: A Non-Traditional, Domain-Independent Framework For Video Analysis, Umme Hafsa Billah

Computer Science and Engineering Dissertations

Due to the proliferation of cameras in handheld devices and the widespread use of CCTV, images and videos have become a preferred alternative for capturing and disseminating information. Automated analysis for understanding image or video contents (e.g., objects, activities, backgrounds, situations of interest, etc.) is critical for many applications such as Civic Monitoring, Surveillance (in general), monitoring activities in Assisted Living environments, and many more. Image and Video Analysis (IVA) research has been ongoing for several decades, resulting in numerous techniques for algorithmically analyzing and understanding image and video contents.

Image Analysis (IA) has advanced in several areas, including object …

Deep Learning For Wireless Communications, Swarada Ajit Kulkarni

Electrical Engineering Dissertations

The rapid evolution of wireless communication imposes stringent requirements for ultra-reliable, low-latency transmission in dynamic, interference-prone environments. Traditional model-driven signal processing struggles to adapt to nonlinear hardware effects, time-varying channels, and complex interference patterns. Deep learning (DL) offers a transformative, data-driven alternative, enabling end-to-end optimization and robust adaptation under uncertain propagation conditions.

This dissertation investigates deep learning architectures for intelligent and resilient wireless communication through three complementary contributions. The first introduces a Vision Transformer (ViT)-based modulation classification framework that leverages self-attention to capture local and global dependencies in spectrogram representations of Quadrature Amplitude Modulation (QAM) signals. The ViT achieves superior …

How Do Reading Specialists Shape Their Identities As Literacy Leaders? An Exploration Of Competence, Performance, And Recognition Within Communities Of Practice, Christina Glance Petrone

Graduate Theses, Dissertations, and Problem Reports (ETD)

This qualitative multiple-case study explored how reading specialists enact literacy leadership within elementary schools in West Virginia. Although reading specialists are increasingly expected to support schoolwide literacy improvement, leadership responsibilities are not always explicitly defined within their roles. Guided by a communities of practice framework and an identity model, this study examined how reading specialists develop and demonstrate literacy leadership through their daily interactions with teachers, administrators, and other school personnel. Data sources included participant questionnaires and semi-structured interviews with participants, their principals, and colleagues from their school. Participants in this study included three reading specialists (interventionists) working in K-5 …

The Hidden Process Of Student Placements: Perspectives From Slp, Ot, And Pt Coordinators, Almara Jane Sidney Hutchinson

Graduate Theses, Dissertations, and Problem Reports (ETD)

This comparative multi-case study examined the unseen processes behind clinical placement planning in allied health education. Clinical placements are essential to preparing students in speech-language pathology (SLP), occupational therapy (OT), and physical therapy (PT); however, little research has explored how Directors and Coordinators of Clinical Education (DCE/CCEs) navigate the complex decision-making involved in planning these experiences. Guided by Greco and Myers’ (2024) framework conceptualizing placement planning as an interaction between process and experience, this study explored how coordinators described their planning processes and the role of student-centeredness within them.

Semi-structured interviews were conducted with 12 DCEs/CCEs representing SLP, OT, and …

Examining Moral Susceptibility In Ai Vs. Human-Assisted Decision-Making, Seth James Fogle

Graduate Theses, Dissertations, and Problem Reports (ETD)

Artificial intelligence (AI) systems are increasingly integrated into decision-making contexts, yet their influence on ethical judgment remains unclear. This study examines whether advice from an AI advisor, compared to a human advisor, affects moral susceptibility in a consumer decision-making scenario. Using a 2 × 2 between-subjects experimental design (advisor type × price condition), this research tests whether personal agency, perceived objectivity, and diffusion of responsibility operate as psychological mechanisms underlying ethical decision-making.

Results indicate that advisor type did not significantly influence moral susceptibility, nor did it significantly affect the proposed mediators. Additionally, the price condition did not moderate these relationships. …