Digital Commons Network^™

Assessing The Impact Of Contact Tracing With An Agent-Based Model For Simulating The Spread Of Covid-19: The Irish Experience, Elizabeth Hunter, Sudipta Saha, Jwenish Kumawat, Ciara Carroll, John Kelleher, Claire Buckley, Conor Mcaloon, Patricia Kearney, Michelle Gilbert, Greg Martin

Articles

Contact tracing is an important tool in managing infectious disease outbreaks and Ireland used a comprehensive contact tracing program to slow the spread of COVID-19. Although the benefits of contact tracing seem obvious, it is difficult to estimate the actual impact contact tracing has on an outbreak because it is hard to separate the effects of contact tracing from other behavioural changes or interventions. To understand the impact contact tracing had in Ireland, we used an agent-based model that is designed to simulate the spread of COVID-19 through Ireland. The model uses real contact tracing data from the first year …

Interpreting Disentangled Representations Of Person-Specific Convolutional Variational Autoencoders Of Spatially Preserving Eeg Topographic Maps Via Clustering And Visual Plausibility, Taufique Ahmed, Luca Longo

Articles

Dimensionality reduction and producing simple representations of electroencephalography (EEG) signals are challenging problems. Variational autoencoders (VAEs) have been employed for EEG data creation, augmentation, and automatic feature extraction. In most of the studies, VAE latent space interpretation is used to detect only the out-of-order distribution latent variable for anomaly detection. However, the interpretation and visualisation of all latent space components disclose information about how the model arrives at its conclusion. The main contribution of this study is interpreting the disentangled representation of VAE by activating only one latent component at a time, whereas the values for the remaining components are …

Survey Data On Dysfunctional Attitudes, Personality Traits, And Agreement With Persuasive Techniques, Annye Braca, Pierpaolo Dondio

Articles

Persuasion techniques play a vital role in human commu- nication, influencing various aspects of our lives. With the increasing prevalence of digital platforms, these techniques have permeated online spaces such as websites, mobile apps, games, and social media. This article presents a dataset col- lected via a survey, designed to gather information about in- dividuals’ demographics, personality traits, dysfunctional at- titudes, and their responses to statements embedded with persuasion techniques. Core messages promoting paid news subscriptions, blood donations, and exercise serve as the fo- cus, while definitions and examples of persuasive techniques are provided. By analyzing this comprehensive dataset, re- …

Supporting Clinical Decision Making In The Emergency Department For Paediatric Patients Using Machine Learning: A Scoping Review Protocol, Fiona Leonard, Dympna O. Sullivan, John Gilligan, Nicola O. Shea, Michael J. Barrett

Articles

Introduction Machine learning as a clinical decision support system tool has the potential to assist clinicians who must make complex and accurate medical decisions in fast paced environments such as the emergency department. This paper presents a protocol for a scoping review, with the objective of summarising the existing research on machine learning clinical decision support system tools in the emergency department, focusing on models that can be used for paediatric patients, where a knowledge gap exists. Materials and methods The methodology used will follow the scoping study framework of Arksey and O'Malley, along with other guidelines. Machine learning clinical …

Analysis Of Attention Mechanisms In Box-Embedding Systems, Jeffrey Sardina Jeffrey Sardina, Callie Sardina, John Kelleher, Declan O’Sullivan

Conference papers

Large-scale Knowledge Graphs (KGs) have recently gained considerable research attention for their ability to model the inter- and intra- relationships of data. However, the huge scale of KGs has necessitated the use of querying methods to facilitate human use. Question Answering (QA) systems have shown much promise in breaking down this human-machine barrier. A recent QA model that achieved state-of-the-art performance, Query2box, modelled queries on a KG using box embeddings with an attention mechanism backend to compute the intersections of boxes for query resolution. In this paper, we introduce a new model, Query2Geom, which replaces the Query2box attention mechanism with …

Action Classification In Human Robot Interaction Cells In Manufacturing, Shakra S.M. Mehak, Maria Chiara Leva, John Kelleher, Michael Guilfoyle

Conference papers

Action recognition has become a prerequisite approach to fluent Human-Robot Interaction (HRI) due to a high degree of movement flexibility. With the improvements in machine learning algorithms, robots are gradually transitioning into more human-populated areas. However, HRI systems demand the need for robots to possess enough cognition. The action recognition algorithms require massive training datasets, structural information of objects in the environment, and less expensive models in terms of computational complexity. In addition, many such algorithms are trained on datasets derived from daily activities. The algorithms trained on non-industrial datasets may have an unfavorable impact on implementing models and validating …

Comprehensive Fault Diagnostics And Performance Forecasting Of Wind Turbines Through Condition Monitoring Solutions, Shuo Zhang

Doctoral

The operation and maintenance (O&M) issues of wind turbines (WTs) are challenging because unplanned maintenance, caused by sudden component failures, can bring about durable downtimes and significant revenue losses. It is important to carry out effective fault diagnostics and prognostics schemes under the rapid development of wind power generation. Hence, Condition Monitoring (CM) solutions focus on measurements and detections of high-risk WT components, which could result in high failure rates and long downtimes. Machine Learning (ML) models have been commonly applied in CM to allocate imminent indications of failure or degradation for curtailing the O&M costs of WTs. By way …

Pedagogical Approaches To Enhancing Student Self-Efficacy And Addressing Gender Inequality In Undergraduate Stem, Gintarė Lübeck

Theses

Previous research has shown that the success and retention of students in STEM university programmes are highly correlated with their self-efficacy beliefs, and women and gender minority students in STEM have been consistently found to possess lower self-efficacy than men. Since specific teaching and learning practices are known to contribute to increased self-efficacy and help diversify STEM education, this study sought to identify which pedagogical approaches are effective in creating a more equitable learning environment in introductory STEM classes by positively contributing to students’ self-efficacy. This study employed methodological triangulation and synthesised findings from self-efficacy questionnaires, classroom observations, and a …

Design And Fabrication Of Volume Holographic Optical Couplers For A Range Of Non-Normal Incidence Angles, Dipanjan Chakraborty, Rosen Georgiev, Sinead Aspell, Izabela Naydenova, Suzanne Martin

Conference Papers

A theoretical model has previously been developed to calculate the holographic recording beam angles required in air (at any recording wavelength) to produce a Volume Holographic Optical Element (VHOE) for operation as a coupler for different input and output angles. In this paper, the experimental study is extended to further validate the VHOE coupler design and fabrication approach for additional incident beam angles, comparing -40° -45° and -50° (in air). The output angle for each VHOE is +45° within the medium and the coupler operational wavelength is 633nm. Holographic recording in Bayfol HX 200 photopolymer at 532nm is used to …

Spherical Modes Driven Directional Modulation With A Compact Mimo Antenna, Abel Zamdemala, Nicola Marchetti, Max Ammann, Adam Narbudowicz

Articles

In this letter, a compact beamsteering MIMO antenna is proposed for Directional Modulation (DM) applications. A generalization of the beamsteering principle is presented and by exploiting the antenna’s unidirectional beamsteering capability within the entire azimuth plane, the system realizes secure steerable transmissions in the direction of the legitimate receiver, with a low Bit Error Rate (BER) of 10^(-5), while a high error rate of 10^(-1) is seen outside the desired regions. Numerical and experimental verifications are carried out to validate the proposed concept and comparisons with circular arrays are conducted, revealing that the system achieves comparable performance but with up …

A Secure Data Sharing Scheme In Community Segmented Vehicular Social Networks For 6g, Sunder Ali Khowaja, Parus Khuwaja, Kapal Dev, Ik Hyun Lee, Wali Ullah Khan, Weizheng Wang, Nawab Muhammad Faseeh Qureshi, Maurizio Magarini

Research Outputs: 2025-Present

The use of aerial base stations, AI cloud, and satellite storage can help manage location, traffic, and specific application-based services for vehicular social networks. However, sharing of such data makes the vehicular network vulnerable to data and privacy leakage. In this regard, this article proposes an efficient and secure data sharing scheme using community segmentation and a blockchain-based framework for vehicular social networks. The proposed work considers similarity matrices that employ the dynamics of structural similarity, modularity matrix, and data compatibility. These similarity matrices are then passed through stacked autoencoders that are trained to extract encoded embedding. A density-based clustering …

Supporting The Learning Of Women Middle Eastern Students Studying Engineering In Europe, Shannon M. Chance, B. Williams, Ines Direito

Research Outputs: 2025-Present

No abstract provided.

Internet Of Things (Iot)-Based Teaching And Learning: Modern Trends And Open Challenges, Ibrahim Ahmed Ghashim, Muhammad Arshad

Research Outputs: 2025-Present

The effect of technology has caused many institutions to intend to change their approach to teaching and learning, resulting in the current model of teaching and learning being an active collaborative and self-directed one. The connection between education and technology has received attention as part of educational policy and practice. Debatable topics like how to use technology in the classroom have therefore punctuated complaints about declining educational standards, unemployed learners, duplicate curricula, and archaic institutional structure. In the framework of information and communication technologies and societal growth, the Internet of Things (IoT) is asserting its vital position. Institutions may improve …

How Can Visual Programing Be Used To Aid The Development Of A Structural Scheme Design Process Utilising Geometric Data Within An Architectural Revit Model?, Ed Carthy, Kieran Lakhera O'Shea

Reports

The early-stage structural scheme design of a building is a complex task requiring the collection of multiple information categories such as geometry, loading and materials. The collection and review of this information is traditionally conducted in a 2D environment. This is inefficient, time-consuming, and tedious. This paper provides a review of how structural engineers’ understanding and implementation of BIM has evolved significantly in recent years, validated by extant literature in areas such as BIM automation, visual programming, and structural optimisation in the structural engineering sector. Structural engineers are growing more aware that BIM provides a vast repository of data to …

Persuasive Communication Systems: A Machine Learning Approach To Predict The Effect Of Linguistic Styles And Persuasion Techniques, Annye Braca, Pierpaolo Dondio

Articles

Prediction is a critical task in targeted online advertising, where predictions better than random guessing can translate to real economic return. This study aims to use machine learning (ML) methods to identify individuals who respond well to certain linguistic styles/persuasion techniques based on Aristotle’s means of persuasion, rhetorical devices, cognitive theories and Cialdini’s principles, given their psychometric profile.

Performance Evaluation Of Ingenious Crow Search Optimization Algorithm For Protein Structure Prediction, Ahmad M. Alshamrani, Akash Saxena, Shalini Shekhawat, Hossam Zawbaa, Ali Wagdy Mohamed

Articles

Protein structure prediction is one of the important aspects while dealing with critical diseases. An early prediction of protein folding helps in clinical diagnosis. In recent years, applications of metaheuristic algorithms have been substantially increased due to the fact that this problem is computationally complex and time-consuming. Metaheuristics are proven to be an adequate tool for dealing with complex problems with higher computational efficiency than conventional tools. The work presented in this paper is the development and testing of the Ingenious Crow Search Algorithm (ICSA). First, the algorithm is tested on standard mathematical functions with known properties. Then, the application …

The Role Of Teacher Agency In Using Gis To Teach Sustainability: An Evaluation Of A Lower Secondary School Story Mapping Gis Initiative In Ireland, Sasha Brown, Zerrin Doganca Kucuk, Angela Rickard, James Lonergan, Rachel Abernethy, Lorraine Mcnerney, Ronan Foley, Avril Behan, Aengus Byrne, Bernard Essel, Jack Ffrench, Jonathan Faull, Conor Cahalane

Articles

This paper investigates the role of teacher agency for those who were trained in using an innovative Geographic Information Systems (GIS) approach and incorporated GIS into their teaching. While national curricula increasingly emphasise STEM and sustainability approaches, there has been limited analysis of how teachers can bring new software, including GIS, and new approaches into the classroom. Through an evaluation of a teaching initiative “5*S: Space, Surveyors and Students – STEM and the Sustainable Development Goals” designed to bring GIS technology, satellite data, and the Sustainable Development Goals (SDGs) into classrooms as activities and resources for teachers and students in …

Approaches To Avoid Proteolysis During Protein Expression And Purification, Gary T. Henehan, Barry J. Ryan, Gemma K. Kinsella

Books/Book Chapters/ Proceedings

All cells contain proteases, which hydrolyze the peptide bonds between amino acids of a protein backbone. Typically, proteases are prevented from nonspecific proteolysis by regulation and by their physical separation into different subcellular compartments; however, this segregation is not retained during cell lysis, which is the initial step in any protein isolation procedure. Prevention of proteolysis during protein purification often takes the form of a two-pronged approach: first, inhibition of proteolysis in situ, followed by the early separation of the protease from the protein of interest via chromatographic purification. Protease inhibitors are routinely used to limit the effect of the …

Protein Extraction And Purification By Differential Solubilization, Barry J. Ryan, Gemma K. Kinsella, Gary T. Henehan

Books/Book Chapters/ Proceedings

The preparation of purified soluble proteins for biochemical studies is essential and the solubility of a protein of interest in various media is central to this process. Selectively altering the solubility of a protein is a rapid and economical step in protein purification and is based on exploiting the inherent physicochemical properties of a polypeptide. Precipitation of proteins, released from cells upon lysis, is often used to concentrate a protein of interest before further purification steps (e.g., ion exchange chromatography, size exclusion chromatography etc).

Recombinant proteins may be expressed in host cells as insoluble inclusion bodies due to various influences …

Clinical Radiobiology For Radiation Oncology, Peter Sminia, Olivier Guipaud, Kristina Viktorsson, Vidhula Ahire, Sarah Baatout, Tom Boterberg, Jana Cizkova, Marek Dostál, Cristian Fernandez-Palomo, Alzbeta Filipova, Agnès François, Mallia Geiger, Alistairl Hunter, Hussam Jassim, Nina Frederike Jeppesen Edin, Karl Jordan, Irena Koniarová, Vinodh Kumar Selvaraj, Aidan D. Meade, Fabien Milliat, Alegría Montoro, Constantinus Politis, Diana Savu, Alexandra Sémont, Ales Tichy, Vlastimil Válek, Guillaume Vogin

Books/Book Chapters

This chapter is focused on radiobiological aspects at the molecular, cellular, and tissue level which are relevant for the clinical use of ionizing radiation (IR) in cancer therapy. For radiation oncology, it is critical to find a balance, i.e., the therapeutic window, between the probability of tumor control and the probability of side effects caused by radiation injury to the healthy tissues and organs. An overview is given about modern precision radiotherapy (RT) techniques, which allow optimal sparing of healthy tissues. Biological factors determining the width of the therapeutic window are explained. The role of the six typical radiobiological phenomena …

Accessibility Of Health Data Representations For Older Adults: Challenges And Opportunities For Design, Peterson Jean, Emma Murphy, Enda Bates

Books/Book Chapters

Health data of consumer off-the-shelf wearable devices is often conveyed to users through visual data representations and analyses. However, this is not always accessible to people with disabilities or older people due to low vision, cognitive impairments or literacy issues. Due to trade-offs between aesthetics predominance or information overload, real-time user feedback may not be conveyed easily from sensor devices through visual cues like graphs and texts. These difficulties may hinder critical data understanding. Additional auditory and tactile feedback can also provide immediate and accessible cues from these wearable devices, but it is necessary to understand existing data representation limitations …

Advances In Precision Microfabrication Through Digital Light Processing: System Development, Material And Applications, Xinhui Wang, Jinghang Liu, Yang Zhang, Per Magnus Kristiansen, Aminul Islam, Michael Gilchrist, Nan Zhang

Articles

Digital Light Processing (DLP) is an advanced additive manufacturing technology which has garnered substantial recognition and has been extensively applications in various fields. This review focuses on the precision microfabrication process of DLP, providing an overview of the DLP 3D printing system, including the digital light engine, project lenses, motorised stage and resin vat for micro-structure fabrication. Additionally, this review paper comprehensively analyses commercially available DLP printers, covering resolution, cost and a detailed discussion on the importance of photopolymer resins, emphasising the monomer, photo-initiator, photoabsorber, etc. Based on the photopolymerisation theory, the DLP high-precision printing process is analysed, which is …

Multistage Sustainability Education For University Engineering Students: A Case Study From Mechanical Engineering In Technological University Dublin, Kevin Delaney

Articles

Sustainability will be a key challenge that future engineering graduates must consider when solving problems. This paper sets out the approach taken in the mechanical engineering discipline of Technological University Dublin (TU Dublin) to help students acquire and develop the requisite skills to integrate aspects of sustainability when tackling engineering problems. The approach, which has already been implemented across a number of different design and innovation modules, consists of two distinct phases. In the first, students are educated about sustainability and related issues. In the second phase, students are educated for sustainability and are taught to identify, define and solve …

Cfd Simulation Of Anaerobic Granular Sludge Reactors: A Review, Camila D' Bastiani, David Kennedy, Anthony Reynolds

Articles

Anaerobic digestion processes can generate renewable energy in the form of biogas while treating organic wastewater. The generation of biogas within anaerobic digestion systems is directly linked to the mixing conditions inside the reactors. In high-rate reactors such as the up-flow anaerobic sludge blanket (UASB) reactor, the expanded granular sludge bed (EGSB) reactor and the internal circulation (IC) reactor, the hydrodynamic behaviour will depend on the interactions between the wastewater, the biogas, and the biomass granules. Over the past few years, various researchers have used computational fluid dynamics (CFD) to study the hydrodynamic behaviour in these types of reactors. This …

3d Simulation Of A Yogurt Filling Machine Using Grafcet Studio And Factory Io: Realization Of Industry 4.0, Bashir Salah, Waqas Saleem, Razaullah Khan, Ahmed Tawhid Ahmed Soliman

Articles

Manufacturing systems, enterprises and academic institutions worldwide are implementing industry 4.0 (IR4.0). By integrating the services and equipment, IR4.0 develops autonomous systems that manage industrial operations and exchange real-time data in real time. This study includes a simulation of an existing production system using the GRAFCET Studio software.

Novel Block Grid Analysis (Bga) Based Algorithm For Use In Determining Coefficients Of Similarities Between Uv Fluorescent Spectra, Kevin Mellon, Noel Carey

Articles

No abstract provided.

A Feed Direction Cutting Force Prediction Model And Analysis For Ceramic Matrix Composites C/Sic Based On Rotary Ultrasonic Profile Milling, M. Amin, M. F. Rathore, A. Ahmed, W. Saleem, Q. Li, A. Israr

Articles

Ceramic matrix composites have immense applications in the aerospace, aircraft, and automobile industries. Belonging to this class, carbon-fiber reinforced ceramic matrix composites (C/SiC) are used for critical applications due to their superior properties. However, these materials have also stringent properties of heterogeneity, anisotropy, and varying thermal properties that affect machining quality and process efficiency. So, developing a cutting force prediction model and analyzing machining parameters is an essential need for the accurate machining of such materials. In this study, a mechanistic-based feed direction cutting force prediction model for rotary ultrasonic profile milling of C/SiC composites is developed and validated experimentally. …

Assessment Of The Environmental Impact Of Food Consumption In Ireland-Informing A Transition To Sustainable Diets, Laura B Kirwan, Janette Walton, Albert Flynn, Anne P. Nugent, John Kearney, Nicholas M. Holden, Breige A. Mcnulty

Articles

Dietary changes are required to mitigate the climatic impact of food consumption. Food consumption databases can support the development of sustainable food based dietary guidelines (SFBDG) when linked to environmental indicators. An improved knowledge base is crucial to the transition to sustainable diets, and multiple environmental indicators should be considered to ensure this transition is evidence based and accounts for trade-offs. The current study aimed to quantify the environmental impact of daily diets across population groups in Ireland. Nationally representative food consumption surveys for Irish children (NCFSII; 2017-2018), teenagers (NTFSII; 2019-2020), and adults (NANS; 2008-2010) were used in this analysis. …

Peptidases Are Potential Targets Of Copper(Ii)-1,10-Phenanthroline-5,6-Dione Complex, A Promising And Potent New Drug Against Trichomonas Vaginalis, Graziela Vargas Rigo, Fernanda Gomes Cardoso, Matheus Mendonca Pereira, Michael Devereux, Malachy Mccann, Andre L.S. Santos, Tiana Tasca

Articles

Trichomonas vaginalis is responsible for 156 million new cases per year worldwide. When present asymptomatically, the parasite can lead to serious complications, such as development of cervical and prostate cancer. As infection increases the acquisition and transmission of HIV, the control of trichomoniasis represents an important niche for the discovery and development of new antiparasitic molecules. This urogenital parasite synthesizes several molecules that allow the establishment and pathogenesis of infection. Among them, peptidases occupy key roles as virulence factors, and the inhibition of these enzymes has become an important mechanism for modulating pathogenesis. Based on these premises, our group recently …

Comprehensive Genomic Characterization Of Cronobacter Sakazakii Isolates From Infant Formula Processing Facilities Using Whole-Genome Sequencing, Zeinab E.Mousavi, Leonard Koolman, Guerrino Macori, Séamus Fanning, Francis Butler, University College Dublin

Articles

Cronobacter sakazakii is an opportunistic pathogen linked to outbreaks in powdered infant formula (PIF), primarily causing meningitis and necrotizing enterocolitis. Whole-genome sequencing (WGS) was used to characterize 18 C. sakazakii strains isolated from PIF (powdered infant formula) manufacturing plants (2011–2015). Sequence Type (ST) 1 was identified as the dominant sequence type, and all isolates carried virulence genes for chemotaxis, flagellar motion, and heat shock proteins. Multiple antibiotic resistance genes were detected, with all isolates exhibiting resistance to Cephalosporins and Tetracycline. A significant correlation existed between genotypic and phenotypic antibiotic resistance. The plasmid Col(pHAD28) was identified in the isolates recovered from …