Digital Commons Network^™

On Design Load Prediction And Extreme Response Modelling Of Floating Offshore Renewable Energy Structures, Tom Tosdevin

School of Engineering, Computing and Mathematics Theses

FLOATING offshore renewable energy (FORE) is a marginal industry and as such cost reductions are essential in order for it to become competitive with other forms of electricity generation. Design practices for evaluating the extreme responses of FORE devices are still under consideration by standards authorities, thus methods that enable potential speeding up of the design and development phases, particularly physical model testing are needed. Probabilistic design approaches have proved effective in bringing down costs in the aerospace and automobile industries and so provide a potential route to viability by allowing partial safety factors to be reduced. However, the scarcity …

Investigation And Modelling Of A Cortical Learning Algorithm In The Neocortex, Damir Dobric

School of Engineering, Computing and Mathematics Theses

Many algorithms today provide a good machine learning solution in the specific problem domain, like pattern recognition, clustering, classification, sequence learning, image recognition, etc. They are all suitable for solving some particular problem but are limited regarding flexibility. For example, the algorithm that plays Go cannot do image classification, anomaly detection, or learn sequences. Inspired by the functioning of the neocortex, this work investigates if it is possible to design and implement a universal algorithm that can solve more complex tasks more intelligently in the way the neocortex does. Motivated by the remarkable replication degree of the same and similar …

1st Eut+ International Conference On Languages, Tamara Onnis, Stefanie Morgret

Conference Proceedings

Language has to power to bind us or divide us. Language enables us to cooperate with each other or impede each other. Through language, we are able to be the human beings we are today, hold our value systems dear and accomplish all that we have done over millennia. This volume provides an impression of the first international EUt+ language conference on ‘Inter/Multiculturalism in a Post Colonial Era: Languages and European Values’ hosted by University of Applied Sciences Darmstadt. Thirteen contributions invite you to experiences, ideas and research findings related to language and its interaction with intercultural communication, European values …

A Rapid On-Site Loop-Mediated Isothermal Amplification Technology As An Early Warning System For The Detection Of Shiga Toxin-Producing Escherichia Coli In Water, Zina Alfahl, Sean Biggins, Owen Higgins, Alexandra Chueiri, Terry J. Smith, Dearbháile Morris, Jean O'Dwyer, Paul D. Hynds, Liam P. Burke, Louise O'Connor

Articles

Shiga toxin-producing Escherichia coli (STEC) is an important waterborne pathogen capable of causing serious gastrointestinal infections with potentially fatal complications, including haemolytic–uremic syndrome. All STEC serogroups harbour genes that encode at least one Shiga toxin (stx1 and/or stx2), which constitute the primary virulence factors of STEC. Loop-mediated isothermal amplification (LAMP) enables rapid real-time pathogen detection with a high degree of specificity and sensitivity. The aim of this study was to develop and validate an on-site portable diagnostics workstation employing LAMP technology to permit rapid real-time STEC detection in environmental water samples. Water samples (n=28) were collected from groundwater wells (n=13), …

Textural Characterisation Of Wheat–Oat Breads Using A Combination Of Quantitative Descriptive Analysis And Partial Napping Profiling Techniques, Mahmoud Said Rashed, Shivani Pathania, Eimear Gallagher, Jesus M. Frias, Ciara Mcdonagh, Emily Crofton

Articles

The aim of this study was to determine the textural sensory profile of wheat breads developed using oat flour at different substitution levels (10%, 30%, and 50%) and particle sizes (<224, 250–280, 280–500, 500–600 μm). A trained descriptive panel evaluated the wheat–oat breads using quantitative descriptive analysis (QDA) (n = 8) and partial napping (PN) (n = 12) sensory techniques. The QDA results showed that the textural properties of the breads were significantly affected by oat flour at different substitution and particle size levels (P < 0.001). The attributes crumb ‘denseness' and ‘stickiness' discriminated most frequently across samples, while crumb ‘chewiness' and ‘dryness' discriminated the least. Principal component analysis (PCA) illustrated that in PC1 (59%) crumb ‘denseness' was positively correlated with crumb ‘hardness' and ‘graininess', while ‘stickiness' was negatively correlated with crumb ‘graininess'. The application of clustering techniques on QDA data showed that breads with 10% oat flour were differentiated based on particle size; however, as the substitution level of oat flour increased, the substitution level of oat flour used in formulations exceeded the effect of particle size. In terms of PN, panellists identified four distinct groups of wheat–oat breads, indicating that wheat breads with 10% oat flour and <224 μm, 280–500 μm and whole oat flour had similar textural properties to the control wheat bread sample. The texture of wheat breads substituted with 50% oat flour were very different to the control. The results of this study suggest that in addition to the effect of substitution level, fractionation of oat flour may have application in the production of wheat bread formulations with different textural profiles. The findings also emphasise the importance of considering clustering techniques when evaluating complex samples for new product development applications.

The Effects Of Preharvest Silicon Treatment And Passive Map On Quality And Shelf Life Of White Button Mushrooms In Thermoformed Recycled Pet Packaging System, Tigist T. Shonte, Helen Grogan, Jesus Maria Frias Celayeta, Francesco S. Giordano, Andrew Reynolds, Orla O'Halloran, Lorraine Foley, Shivani Pathania

Articles

A crop pretreatment with silicon was combined with passive modified atmosphere packaging (PMAP) in a thermoformed recycled PET packaging format as a novel approach to minimize the quality degradation in mushrooms. This study was aimed to evaluate the effects of (a) two preharvest treatments, namely preharvest control (PHTC) and preharvest silicon treatment (PHTS) and (b) four packaging lid formats, namely PMAP1: a single hole of 1.1 mm size, PMAP2: two holes of 0.53 mm size, PMAP3: three holes of 0.53 mm size, and PMAPC: OMNI-PW micro perforated cling film as a control on the quality and shelf life of mushrooms …

Influence Of Seasonality And Public-Health Interventions On The Covid-19 Pandemic In Northern Europe, Gerry A. Quinn, Michael Connolly, Norman E. Fenton, Steven J. Hatfill, Paul Hynds, Coilín Óhaiseadha, Karol Sikora, Willie Soon, Ronan Connolly

Articles

Background: Most government efforts to control the COVID-19 pandemic revolved around non-pharmaceutical interventions (NPIs) and vaccination. However, many respiratory diseases show distinctive seasonal trends. In this manuscript, we examined the contribution of these three factors to the progression of the COVID-19 pandemic. Methods: Pearson correlation coefficients and time-lagged analysis were used to examine the relationship between NPIs, vaccinations and seasonality (using the average incidence of endemic human beta-coronaviruses in Sweden over a 10-year period as a proxy) and the progression of the COVID-19 pandemic as tracked by deaths; cases; hospitalisations; intensive care unit occupancy and testing positivity rates in six …

Elevato-Cdr: Speech Enhancement In Large Delay And Reverberant Assisted Living Scenarios, Swarnadeep Bagchi, Ruairí De Fréin

Conference papers

Speech enhancement algorithms are needed for Assisted Living (AL) environments, which are characterized by large inter-microphone spacings, significant phase-wraparound, and high reverberation times (T60). We contribute Elevato- CDR, which addresses the task of enhancing speech given the large relative delays and high levels of reverberation, which are characteristic of AL scenarios. The purpose of this paper is to evaluate Elevato-CDR’s performance and compare it with benchmark reverberation schemes, using speech mixtures which experience reverberation and background noise. Our findings indicate that Elevato-CDR successfully outperforms classical dereverberation algorithms in terms of subjective (MARS, PESQ) and objective (SDR, SRR) performance measures in …

5.Meeting The Attachment Needs Of Nursing Home Residents With Dementia, Lucia Carragher, Gemma Jones, Ann Marron, Laura Ballantine

Irish Journal of Applied Social Studies

No abstract provided.

Ireland, Intellectual Property And The Political Economy Of Information Monopolies, Kenneth W. Murphy

Articles

Ireland’s policies towards US-owned global digital intermediaries (Big Tech) have emerged as an international political issue and received global media attention. So far, political and media focus has been on the impact of Ireland’s tax policies on the revenue-raising ability of other European states and perceptions of light touch regulation of those corporations based in the Republic. The current paper will focus on how Ireland’s switch to a focus on capital allowances for the sizeable American tech corporations has enabled the latter to sustain their dominance in the digital transition through incentivizing and subsidizing their switch to assetization as a …

An Exploration Into How Print And Online News Journalists Manage Political Fake News In Ireland, John William Hogan

Conference papers

This paper examines how a number of Irish political journalists, working for both traditional newspapers and an online news website, deal with the problem of fake news. The aim is to gain an understanding of what the journalists’ perception of political fake news is and the methods they employ to manage it - a sorely under researched topic. Our findings show that the journalists we spoke with feel there are a range of forms that fake news assumes, many of them insidious and challenging to overcome with facts. The paper highlights the important role journalists play in confronting political fake …

Alien Mystery Scavenger Hunt: Enhancing Intergenerational Interaction With Physical Web Technologies Through Location-Based Games, Folashade Fatima Badmos

Conference papers

The Physical Web is a powerful, easy-to-implement and inexpensive way to bridge the gap between the digital and physical realms compared to other technologies used for web location-aware interaction. In this study, we propose a Physical Web for an inter-generational game through the Alien Mystery scavenger hunt. Through the design and implementation of a Physical Web for outdoor intergenerational games, we show the potential of Physical Web technologies in presenting different interactions between the web and the user’s physical environment. The game utilises the ubiquity of QR codes and NFC in modern mobile devices, enabling users to seamlessly interact with …

Exploring Links Between Foreign Direct Investment And Host Country Economic Development, Thi Ngoc Dao

Doctoral

The thesis explores links between Foreign Direct Investment (FDI) and the economic development of host country, analysing both direct and indirect effects. Concerning direct effects, FDI has been recognised as an important driver of exports and job creation for the host country. In terms of indirect effects, however, a consensus has not been reached on the spillover effects and competition effects that FDI generates in indigenous firms. Evaluating these effects has been critical for small open economies due to their heavy reliance on external markets and factors. There is a need for comprehensive research investigating the impacts of FDI on …

Meeting The Sustainability Challenges: An Assessment Of Entrepreneurial Education, Anna Zherdeva, Intesar Madi, Abrar Alzankawi, Lucia Morales Dr, L. Pop, A. Soler-Dominguez, J.C. Saez

Conference papers

The importance of sustainability and entrepreneurship education is highlighted in this study. The world economies are facing significant challenges as they try to enable the transition towards more sustainable economic and business models. Therefore, at the centre of the transition process, it is critical to consider the role that business education can play and, more specifically, the role of business schools in integrating and supporting the development of skills and competencies that align with our contemporary society's needs. In this paper, we initially assess the need to connect entrepreneurial and sustainability education by exploring the educational offerings at Technological University …

Using Content Analysis And Text Mining To Examine The Effects Of Asynchronous Online Tutoring On Revision, Susan Lang, Clinton Morrison Jr, Kathleen Brawley

The Writing Center Journal

What do writers do with the feedback they receive? While the answer will vary depending on the writer’s experience and the rhetorical situation, understanding what writers do can provide important information for course redesign and professional development of tutors and instructors. In this first of two manuscripts, the authors examine how first-semester, first-year writing students use responses provided via asynchronous online tutoring (AOT) in revising their assignments. Our primary research question was: What was happening in—and after—those tutorials? We addressed this question by a process of narrowing and refining of data analysis toward increasingly precise inferences as we progressed from …

Collaborative Publishing And Multivalent Research: Writing Center Journal Scholarship From 2001 To 2020, Joseph Cheatle

The Writing Center Journal

This work examines articles published in the Writing Center Journal between 2001 and 2020 in order to understand more about the publishing, scholarship, and research practices of the field of writing center studies. Through analyzing articles published in the Writing Center Journal between 2001 and 2020, this work makes three contributions to the field. The first contribution of this work is an overview of the shift from scholarship to research in the field of writing center studies. The second contribution of this work is to highlight the growth of collaborative scholarship and research during this time. As is demonstrated in …

“Hopes And Fears”: What Do Writing Center Administrators Think Of Merging With Or Converting Into A Learning Center?, Jenny Goransson

The Writing Center Journal

This article shares findings from a survey study (n = 73) focused on writing center administrator (WCA) perceptions of two phenomena we see on many secondary and postsecondary campuses in recent years: writing centers expanding to become learning centers, and writing centers consolidating or merging with other tutoring services on campus. Through analysis of the qualitative, open-ended survey responses, the study revealed that WCAs’ views of these trends are greatly impacted by local conditions and levels of autonomy, as well as WCAs’ beliefs about expertise. Also, consolidation and expansion are seen by WCAs as shifting writing center identity in …

Slouching Towards Causality: Does Our Writing Center Tutoring Work?, Dennis Paoli, Jack Kenigsberg

The Writing Center Journal

Replicable, aggregable, data-supported (RAD) research has become standard in writing center studies. Choice of research question is determined by local conditions and exigencies, often influenced by institutional assessment policy and national mandates. The methodology of choice in most writing center research is qualitative inquiry, though quasi-experimental quantitative studies, with their inherently difficult protocols and ethical problems, persist in their effort to address the question fundamental to writing center labor: Does writing center tutoring improve student writing? In a quasi-experiment applying propensity score matching to a sample of student users of the Rockowitz Writing Center at Hunter College of the City …

Graphene Oxide Biopolymer Aerogels: A Novel Solution To Toxic Metal Pollution In Water, Jonathan Bloor

School of Engineering, Computing and Mathematics Theses

Clean drinking water is a fundamental human right, but still in the 21st century millions of people are forced to drink water contaminated with toxic metals above recommended safe limits. This work proposes to remediate toxic lead (Pb) from potable water using a robust low-cost aerogel fabricated from graphene oxide (GO) and seaweed (calcium alginate) by batch adsorption using simple agitation. Firstly, GO was synthesised using the improved Hummers’ method (IHM) and characterised with TEM, Raman and FTIR. The GO alginate aerogel composites were made by a sol-gel method, freeze dried and crosslinked in CaCl2 and further characterised using SEM …

Improving The Performance Of Hirep Lattice Simulations Software By Exploiting The Cpu Hardware Architecture Details And Algorithm Characteristics, Md Rahman

School of Engineering, Computing and Mathematics Theses

In the scientific exploration of Quantum Chromodynamics (QCD)—the theory governing the strong interaction among quarks and gluons—large-scale numerical simulations are per formed using the framework of lattice gauge theories. Lattice Gauge Theory (LGT) simulations involve the formulation of gauge field theories on a space-time lattice. HiRep is a simulation suite designed for running lattice simulations, leveraging high-performance computing platforms. HiRep is designed to be flexible enough to study a wide range of strongly interacting systems, particularly those pertinent to novel physics investigations at CERN’s Large Hadron Collider (LHC). However, improving the execution time of HiRep is a challenging and non-trivial …

Explainable Deep Learning For Medical Imaging Classification, Megan Courtman

School of Engineering, Computing and Mathematics Theses

Machine learning is increasingly being applied to medical imaging tasks. However, the "black box'' nature of techniques such as deep learning has inhibited the interpretability and trustworthiness of these methods, and therefore their clinical utility. In recent years, explainability methods have been developed to allow better interrogation of these approaches.This thesis presents the novel application of explainable deep learning to several medical imaging tasks, to investigate its potential in patient safety and research. It presents the novel application of explainable deep learning to the detection of aneurysm clips in CT brains for MRI safety. It also presents the novel application …

Explainability And Understandability Of Artificial Neural Networks, Jan Stodt

School of Engineering, Computing and Mathematics Theses

Artificial Neural Networks (ANNs) have achieved significant success in fields likehealthcare, but their "black box" nature challenges transparency and user trust.Existing Explainable AI (XAI) methods aim to interpret ANN decisions, yet manyare not understandable to non-AI-experts, emphasizing the need for approachesthat prioritize both accuracy and usability, especially in high-stakes environments.This thesis investigates the reliability and usability of selected existing XAI meth-ods, evaluating how effectively they convey meaningful explanations to users withAI varying expertise. Assessments of methods like LIME, GradCAM, and Fast-CAM identify key limitations, such as inconsistent visual saliency maps and a lackof user-centred design. These findings underpin the need …

Personalised Feedback On Assessments In Computing Modules - Gender Equality Action In Context, Alina Berry

Academic Posters Collection

Personalised feedback in computing higher education has been known to positively influence retention of women. The issue of gender inequality in computing field is well known and one of the efforts to address it is the development of a gender equality toolkit (TechMate), with one initiative (action) in the toolkit being personalised feedback. While all actions in the toolkit are research-driven, the aim of this work was to evaluate the action on personalised feedback in a local context.

The study comprised of 10 semi-structured interviews with computing lecturers at TU Dublin who provide personalised feedback, a student survey with 68 …

Enhancing Inclusive Entrepreneurial Activity Through Community Engagement Led By Higher Education Institutions, Emma O'Brien, Thomas M. Cooney

Articles

Purpose: While supporting entrepreneurship through government intervention has become a global phenomenon, the OECD (2021) has identified that several communities (including women, youth, seniors, unemployed and immigrants) remain under-represented in terms of entrepreneurial activity. Inclusive entrepreneurship policies seek to enhance economic and social inclusion and emphasise the significant contribution that people from within these communities could make to local and regional development if appropriate support was offered. The purpose of this study is to examine how higher education institutions (HEIs) can co-create inclusive entrepreneurial training initiatives with local communities that support economic and social inclusion. Design/methodology/approach: This in-depth qualitative study …

Existing Gap Analysis Tool Inventory, Rahat Ullah, Adhban Omar Ahmed Farea, Joseph R. Harrington, Ted Mckenna, Sean Carroll

Tools

The Digital Performance Indicator (DPI) is a valuable tool for organisations aiming to evaluate their digital capabilities. It is specifically designed to offer insights into how an organisation's digital performance compares with that of its peers. This indicator functions as a strategic tool, providing a clear understanding of an organisation's position within the digital landscape and offering actionable recommendations for enhancing its digital capabilities. The DPI is a dynamic resource that enables organisations to make informed decisions and maintain competitiveness in an increasingly digitised business environment.

The Effect Of Mindfulness-Based Interventions On Anxiety Disorders Through Intolerance Of Uncertainty And Resilience, Aysun Parlar Yazici

School of Psychology Theses

Anxiety is one of the most complicated and widespread mental health conditions, and effective treatment of anxiety disorders is vital to public health. Investigating the mechanisms that are linked to and contribute to anxiety disorders, such as intolerance of uncertainty (IU), a transdiagnostic factor of all anxiety disorders, may be an appropriate approach for a better understanding of anxiety disorders. Furthermore, examining the role of resilience, which has a protective function in mental health conditions, could contribute to improving our understanding of anxiety and treatment. This thesis investigates the impact of mindfulness-based interventions (MBI), on anxiety, IU, and resilience. The …

Entrepreneurship As Collective Action: The Next Frontier., Cyrine Ben-Hafaïedh, Claire Champenois, Thomas M. Cooney, Leon Schjoedt

Articles

Collective action in entrepreneurship is lacking in the extant literature. Despite entrepreneurship research progressively moves away from the focus of a lone heroic entrepreneur, scholars have yet to absorb the full potential of entrepreneurship as collective action. Also missing is a collective stance on key entrepreneurship concepts such as opportunity discovery or construction and entrepreneurial agency. Accordingly, this article reviews and critiques five articles that constitute this Special Issue seeking to establish ‘entrepreneurship as collective action’ as the next frontier of entrepreneurship theory development. The articles in this Special Issue each investigate a specific instance of collective action in entrepreneurship. …

Regulating More?: Comparing Ireland's Original And Amended Lobbying Legislation, John Hogan

Articles

This paper compares the amendments introduced by the Regulation of Lobbying and Oireachtas (Allowances to Members) (Amendment) Act 2023 with the original regulations of the Regulation of Lobbying Act 2015. The study was conducted using the Hired Guns Method for assessing the robustness of lobbying legislation, developed by the Centre for Public Integrity (CPI), allowing findings to be compared with lobbying regulations internationally. The 2015 legislation was introduced after years of tribunals, scandals, unfulfilled political promises, and economic crisis, in an effort to increase the public's trust in politicians, representative institutions, democracy and the wider bureaucracy. The 2023 Amendment came …

Framing A Feminist Phenomenological Inquiry Into The Lived Experiences Of Women Entrepreneurs, Edicleia Oliveira, Serge Basini, Thomas M. Cooney

Articles

Purpose: This article aims to explore the potential of feminist phenomenology as a conceptual framework for advancing women's entrepreneurship research and the suitability of interpretative phenomenological analysis (IPA) to the proposed framework. Design/methodology/approach: The article critically examines the current state of women's entrepreneurship research regarding the institutional context and highlights the benefits of a shift towards feminist phenomenology. Findings: The prevailing disembodied and gender-neutral portrayal of entrepreneurship has resulted in an equivocal understanding of women's entrepreneurship and perpetuated a male-biased discourse within research and practice. By adopting a feminist phenomenological approach, this article argues for the importance of considering the …

A Review On Machine Learning Methods For Customer Churn Prediction And Recommendations For Business Practitioners, Awais Manzoor, M. Atif Qureshi, Etain Kidney, Luca Longo

Articles

Due to market deregulation and globalisation, competitive environments in various sectors continuously evolve, leading to increased customer churn. Effectively anticipating and mitigating customer churn is vital for businesses to retain their customer base and sustain business growth. This research scrutinizes 212 published articles from 2015 to 2023, delving into customer churn prediction using machine learning methods. Distinctive in its scope, this work covers key stages of churn prediction models comprehensively, contrary to published reviews, which focus on some aspects of churn prediction, such as model development, feature engineering and model evaluation using traditional machine learning-based evaluation metrics. The review emphasises …