Physical Sciences and Mathematics Commons^™

Mathematical Models Of Multisensory Detection And Decision-Making, Rebecca M. Brady

Doctoral

The brain seamlessly integrates signals from multiple sensory modalities to interpret the world efficiently. By using information from various senses, the brain can enhance its ability to detect and respond to stimuli more quickly and accurately. However, combining sensory cues from multiple modalities is only sometimes beneficial as it may lead to illusions and reduced behavioural performance. Behavioural and electrophysiological experiments have revealed that detection and decision-making strategies for multisensory cues evolve throughout human development and ageing. Additionally, studies have demonstrated that maladaptive multisensory processing is a key indicator of a proclivity to falls in older adults and individuals with …

Optimisation Of Photosensitive Recording Materials For Broadband Holographic Optical Elements, Michael Murray

Doctoral

The introduction of broadband (white) LED outdoor lighting has led to significant energy savings. However, this has come at the cost of increased light pollution which has negative impacts both on ecological systems and human health. This light pollution is largely the result of the lack of control measures for the directionality of the light emitted by outdoor LED lighting. The lack of directionality also results in higher energy consumption in order to compensate for the light scattered to the atmosphere and sufficiently illuminate the target area. In this thesis holographic optical elements (HOEs) are proposed as a complementary technology …

An Odd Protocol For An Agent-Based Model Of Hepatitis C Virus Transmission In A Homogeneous Syringe-Sharing Network, Seun Ale, Que Thi Nguyet Nguyen Dr., John D. Kelleher Prof., Elizabeth Hunter Dr.

Reports

The model described in this ODD is an agent-based model of hepatitis C virus (HCV) transmission among people who inject drugs (PWID). The model assumes homogeneous mixing among syringe-sharing agents, without any form of heterogeneity in the agents interactions or syringe-sharing attitude. All syringe-sharing PWID are treated as identical in terms of their interaction frequency and syringe-sharing probability. Interactions are generated dynamically using proximity-based sampling at each timestep (one day), allowing agents to form syringe-sharing interactions based on spatial closeness. The number of daily interaction events is fixed at the population level, and each syringe-sharing agent has the same probability …

An Odd Protocol For An Agent-Based Model Of Hepatitis C Virus Transmission With Inter- And Intra-Group Structural And Behavioural Heterogeneous Syringe-Sharing Networks (5), Seun Ale, Que Nguyen Dr., John D. Kelleher Prof., Elizabeth Hunter Dr.

Reports

The model described in this ODD is an agent-based model of hepatitis C virus (HCV) transmission among people who inject drugs (PWID). The model incorporates structural heterogeneity through a three-group interaction framework and behavioural heterogeneity through group-specific syringe-sharing rates with additional intra-group variability. The syringe-sharing population in the model is divided into core, inner, and outer circle groups representing individuals with high, moderate, and low levels of syringe-sharing interaction intensity, respectively. In addition to differences in the number of daily interaction opportunities across groups, agents in each group are assigned syringe-sharing probabilities that vary at the individual level around their …

An Odd Protocol For An Agent-Based Model Of Hepatitis C Virus Transmission In A Two-Group Structural Heterogeneous Syringe-Sharing Network (M2), Seun Ale, Que Nguyen Dr., John D. Kelleher Prof., Elizabeth Hunter Dr.

Reports

The model described in this ODD is an agent-based model of hepatitis C virus (HCV) transmission among people who inject drugs (PWID). The model extended a baseline homogeneous model by incorporating structural heterogeneity via a two-group interaction framework. The syringe-sharing population in the model is divided into inner and outer circle groups representing individuals with differing levels of syringe-sharing interaction intensity. While all agents share the same syringe-sharing probability and epidemiological processes remain identical across agents, the number of daily interaction opportunities differs between the two groups. Interactions in the model are generated dynamically using proximity-based sampling at each timestep …

An Odd Protocol For An Agent-Based Model Of Hepatitis C Virus Transmission In A Three-Group Structural Heterogeneous Syringe-Sharing Network (M3), Seun Ale, Que Nguyen Dr., John D. Kelleher Prof., Elizabeth Hunter Dr.

Reports

The model described in this ODD is an agent-based model of hepatitis C virus (HCV) transmission among people who inject drugs (PWID). The model incorporates structural heterogeneity through a three-group interaction framework. The syringe-sharing population in the model is divided into core, inner, and outer circle groups representing individuals with high, moderate, and low levels of syringe-sharing interaction intensity, respectively. While the syringe-sharing rate and all epidemiological processes remain identical across agents, the number of daily interaction opportunities differs by agent grouping, capturing variation in structural position within the syringe-sharing network. Interactions are generated dynamically using proximity-based sampling at each …

An Odd Protocol For An Agent-Based Model Of Hepatitis C Virus Transmission With Inter-Group Structural And Behavioural Heterogeneous Syringe-Sharing Networks (M4), Seun Ale, Que Nguyen Dr., John D. Kelleher Prof., Elizabeth Hunter Dr.

Reports

The model described in this ODD is an agent-based model of hepatitis C virus (HCV) transmission among people who inject drugs (PWID). The model incorporates structural heterogeneity through a three-group interaction framework and behavioural heterogeneity through group-specific syringe-sharing rates. The syringe-sharing population in the model is divided into core, inner, and outer circle groups representing individuals with high, moderate, and low levels of syringe-sharing interaction intensity, respectively. In addition to differences in the number of daily interaction opportunities across groups, agents in each group are assigned distinct syringe-sharing probabilities, reflecting variation in risk-taking behaviour across structural groups within the syringe-sharing …

Reflection Hoes Recorded On Photopolymerisable Glass Layers: A Step Towards Holographic Mirrors For Ar Technologies, David Ma, Suzanne Martin, Mohamed Oubaha, Tatsiana Mikulchyk

Conference Papers

Reflection Holographic Optical Elements (HOEs) offer a great potential for Augmented Reality (AR) display technologies due to their unique capability to redirect light with the predetermined wavelength in the opposite direction to the reconstructing light. AR displays based on HOEs enable a large variety of potential applications which necessitates the development of HOEs with long-term stable performance in challenging ambient conditions. Here, we present a study of the holographic recording capability of a photopolymerizable hybrid sol-gel (PHSG) which has shown to be a robust and water/temperature resistant material. Using optimal recording conditions, diffraction efficiency up to 18% has been achieved …

Vision-Language System Using Open-Source Llms For Consent And Instruction Gestures In Medical Interpreter Robots, Tung Ngo, Emma Murphy, Robert Ross

Conference papers

Effective communication is vital in healthcare, especially across language barriers, where non-verbal cues and gestures are critical. This paper presents a privacy-preserving vision-language framework for medical interpreter robots that detects specific speech acts (consent and instruction) and generates corresponding robotic gestures. Built on locally deployed open-source models, the system utilizes a Large Language Model (LLM) with few-shot prompting for intent detection. We also introduce a novel dataset of clinical conversations annotated for speech acts and paired with gesture clips. Our identification module achieved 0.90 accuracy, 0.93 weighted precision, and a 0.91 weighted F1-Score. Our approach significantly improves computational efficiency and, …

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 …

Suitability Of Mobile Phase Recycling For Methylxanthine Quantification In Coffee Samples Using Hplc, Kaitlin O’Keeffe, Marcos Mariano, Brian Murphy

SURE Journal: Science Undergraduate Research Experience Journal

Caffeine, theobromine and theophylline fall under a drug class known as methylxanthines. These three compounds are of major interest in the food industry due to their presence in popular foods and beverages such as tea, coffee, and chocolate. As these compounds can cause physical and mental stress at high dosages, their quantification is essential to ensure product safety and quality. Here, we describe an eco-friendly HPLC method developed to quantify the amount of these analytes in coffee samples sourced across the SETU Waterford, Cork Road campus. Using an isocratic mixture of water and methanol, a mobile phase recycling approach was …

Developing A Tool To Measure Resistance To Sustainable Food Choices: A Pilot Study In Ireland And The Netherlands, Kate Flanagan, Bart Sinteur, Patricia J. Bulsing, John M. Kearney

SURE Journal: Science Undergraduate Research Experience Journal

Consumer uptake of a sustainable diet is critical for addressing environmental challenges and promoting public health. Understanding why consumers resist adopting sustainable eating habits can inform targeted interventions and policies. This pilot study examines whether a newly developed scale can effectively detect consumer resistance to a sustainable diet. Currently, there is a lack of research on a tool to measure consumer resistance to a sustainable diet, highlighting the need for a reliable instrument.

The aim of this study is to develop a scale, based on existing literature, to measure consumer resistance to a sustainable diet. Additionally, the study aims to …

Editorial-Sure Journal Volume 7, Issue 2, Geraldine M. Dowling, Eva Campion, Sinead Loughran, Ariane Perez-Gavilan, Josephine Treacy

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Transdisciplinary Perspectives On Ai: The Fourth Annual Conference Of The European Culture And Technology Laboratory, Connell Vaughan, Ioana Madalina Moldovan, Silivan Moldovan, Noel Fitzpatrick

Books/Book Chapters

The fourth annual conference of the ECT Lab+ was hosted by Technical University of Cluj-Napoca over two days in October 2024 at the Cluj Innovation Park. The conference brought together experts from the Arts, Humanities, Social Sciences, Technology, and other fields to discuss and reflect on the advent of Artificial Intelligence and how the associated technologies are transforming how we live, work and study. Under the title Transdisciplinary perspectives on AI: Alternative Histories, Current Practices and Possible Futures the conference moved beyond simplistic technophila and technophobia to consider whether we can co-evolve with these new technologies which combine machine learning …

Losing Focus In The Age Of Tik Tok: Clinical Evidence For Policy Action On Social Media Use, Megan Conefrey, Robert Griffin

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Tracking Livestock Heart Rate & Location Using Long-Range Radio Networks. An Immediate Solution For Farms Without Reliable Wi-Fi, Dermott Harkin, Martin Bradley

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Voices Matter: Tackling Accentism In Ireland. A Study Addressing Accent-Based Discrimination Awareness In Education, Sadhbh Reddington, Victoria Graham, Holly Jordan, Mairead Moriarty

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Income Inequality And Attitudes Towards Immigrants – How Increased Inequality Drives Division, Niamh Anderson, Vincent O'Sullivan

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Supporting Single Parents: How Loneliness And Self-Stigma Can Impact Single Parents And Their Quality Of Life, Alana Powell, David Mothersill

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Unheard And Underserved: Exploring Support For Male Victims Of Partner Abuse, Michael Keenan, Colletta Dalikeni

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Ireland Blossoms Through Multiculturalism - Designing For Community Connection, Julia Kuczera, Shirley Casey, Hilary Kenna

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Assessing Demand And Simulating Feasibility For Commuter Rail In Lagging Regional Areas. Case Study: Sligo, Holly Briere-Edney, Brian Mccann

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Ireland's Infrastructure: From Delays To Deliveries!, Conor Barnett, Keren Goodman

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

A Fast-Track Way To Identify Derelict And Vacant Homes For Refurbishment, Dylan O'Donnell, Enda Dunican

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Making Buildings Smarter And More Sustainable With Ai, Anthony Lowe, Martin Klepal

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Solving The Bed Crisis - Predicting 30-Day Hospital Readmissions In Elderly Patients Using Ai, Mark Mckeon, Thoa Pham

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

The Impact Of Chronic Pain On Income And Employment, Jordan Vaarsi, Amber Jolly, Karim S. Ladha

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Living The Life: A Community Approach To Men’S Health And Longevity, Paul Anders, Aisling Mcgrath

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

When Care Can’T Move Forward – The Human And Social Cost Of Freezing Of Gait In Parkinson’S Disease, Padraig Cronin, Lucy M. Collins, Aideen M. Sullivan

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Sticky Genes: Can Repeated Dna Sequences Trigger Motor Neurone Disease?, Guste Venslovaite, Russell Mclaughlin

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.