Digital Commons Network^™

On The Documentation Of Refactoring Types, Eman Abdullah Alomar, Jiaqian Liu, Kenneth Addo, Mohamed Wiem Mkaouer, Christian D. Newman, Ali Ouni, Zhe Yu

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Commit messages are the atomic level of software documentation. They provide a natural language description of the code change and its purpose. Messages are critical for software maintenance and program comprehension. Unlike documenting feature updates and bug fixes, little is known about how developers document their refactoring activities. Specifically, developers can perform multiple refactoring operations, including moving methods, extracting classes, renaming attributes, for various reasons, such as improving software quality, managing technical debt, and removing defects. Yet, there is no systematic study that analyzes the extent to which the documentation of refactoring accurately describes the refactoring operations performed at the …

Explaining Deep Learning Models For Tabular Data Using Layer-Wise Relevance Propagation, Ihsan Ullah, Andre Rios, Vaibhov Gala, Susan Mckeever

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Trust and credibility in machine learning models are bolstered by the ability of a model to explain its decisions. While explainability of deep learning models is a well-known challenge, a further challenge is clarity of the explanation itself for relevant stakeholders of the model. Layer-wise Relevance Propagation (LRP), an established explainability technique developed for deep models in computer vision, provides intuitive human-readable heat maps of input images. We present the novel application of LRP with tabular datasets containing mixed data (categorical and numerical) using a deep neural network (1D-CNN), for Credit Card Fraud detection and Telecom Customer Churn prediction use …

Ethics, Safety, And Autonomous Vehicles, William H. Widen, Philip Koopma, Benjamin Kuipers, Marilyn Wolf

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This roundtable explores the ethical and safety implications of the rapidly evolving technology of autonomous vehicles.

Newgrange Skyscape In Stellarium, Frank Prendergast

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Newgrange Skyscape in Stellarium is a new customised landscape planetarium model giving the user the unique ability to interrogate the dynamic sky above the Boyne Valley on any date of interest during the hours of daylight or darkness. Archaeological, astronomical and topographical points of interest are labelled in the model and visible even during the hours of darkness. These are summarily described in a short gazetteer appended at the end of the instruction document to encourage further exploration of the wonderful heritage found in the Boyne Valley and beyond.

Watch on Youtube: https://www.youtube.com/watch?app=desktop&v=aGPsVGBXkY4

Watch on Vimeo: https://vimeo.com/493351576

Hospital Effluents And Wastewaters Treatment Plants: A Source Of Oxytetracycline And Antimicrobial-Resistant Bacteria In Seafood, Bozena Mccarthy, Samuel Obeng Apori, Michelle Giltrap, Abhijnan Bhat, James Curtin, Furong Tian

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The present study employs a data review on the presence and aggregation of oxytetracycline (OTC) and resistance (AMR) bacteria in wastewater treatment plants (WWTPs), and distribution of the contaminated effluent with the aid of shallow and deep ocean currents. The study aims to determine the fate of OTC, AMR bacteria in seafood, and demonstrate a relationship between AMR levels and human health. This review includes (1) OTC, (2) AMR bacteria, (3) heavy metals in aquatic environments, and their relationship. Few publications describe OCT in surface waters. Although, OTC and other tetracyclines were found in 10 countries in relatively low concentrations, …

Artificial Intelligence-Based Power System Stabilizers For Frequency Stability Enhancement In Multi-Machine Power Systems, Aliyu Sabo, Noor Izzri Abdul Wahab, Mohammad Lutfi Othman, Mai Zurwatul Ahlam Mohd Jaffar, Hakan Acikgoz, Hamed Nafisi, Hossein Shahinzadeh

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Low frequency oscillations (LFOs) occur in a system of interconnected generators connected by weak interconnection. A power system stabilizer (PSS) is commonly used to improve the capacity of the power system dampening. Under a variety of operating conditions, traditional PSSs fail to deliver superior damping. To address this issue, a Farmland Fertility Algorithm (FFA-PSSs controller) was used to solve an optimization problem for optimal design of PSSs system parameters, and its performance efficiency was compared to GA and PSO-based PSSs controllers. In addition to PSS, flexible current transmission (FACTS) devices are widely used. PSSs controllers and FACTS devices are frequently …

A Sinusoidal Signal Reconstruction Method For The Inversion Of The Mel-Spectrogram, Anastasia Natsiou, Sean O'Leary

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The synthesis of sound via deep learning methods has recently received much attention. Some problems for deep learning approaches to sound synthesis relate to the amount of data needed to specify an audio signal and the necessity of preserving both the long and short time coherence of the synthesised signal. Visual time-frequency representations such as the log-mel-spectrogram have gained in popularity. The log- mel-spectrogram is a perceptually informed representation of audio that greatly compresses the amount of information required for the description of the sound. However, because of this compression, this representation is not directly invertible. Both signal processing and …

Knowtext: Auto-Generated Knowledge Graphs For Custom Domain Applications, Bojan Bozic, Jayadeep Kumar Sasikumar, Tamara Matthews

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While industrial Knowledge Graphs enable information extraction from massive data volumes creating the backbone of the Semantic Web, the specialised, custom designed knowledge graphs focused on enterprise specific information are an emerging trend. We present “KnowText”, an application that performs automatic generation of custom Knowledge Graphs from unstructured text and enables fast information extraction based on graph visualisation and free text query methods designed for non-specialist users. An OWL ontology automatically extracted from text is linked to the knowledge graph and used as a knowledge base. A basic ontological schema is provided including 16 Classes and Data type Properties. The …

The Effect Of Green Biobased Binder On Structural, Mechanical, Liquid Absorption And Wetting Properties Of Coated Papers, Bilge N. Altay, Charles Klass, Ting Chen, Alexandar Fleck, Cem Aydemir, Arif Karademir, Paul D. Fleming

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Synthetic styrene-butadiene (SB) and styrene-acrylic (SA) latex binders used in paper coating formulations are common and based on unsustainable petroleum sources. Today's papermaking industry turns towards sustainable substitutes that do not compromise quality, and reduce carbon emission, toxic substance release and waste disposal concerns related to fossil fuel sources. In this study, colloidal starch-based latex nanoparticles that do not require cooking were used for pigment coating and coated on the paper surfaces. The effects of these new biobased binders on the structural and mechanical strength properties, liquid absorption, wetting and surface topography of the paper were investigated and compared with …

Corticothalamic Projections Deliver Enhanced Responses To Medial Geniculate Body As A Function Of The Temporal Reliability Of The Stimulus, Srinivasa P Kommajosyula, Edward L Bartlett, Rui Cai, Lynne Ling, Donald M Caspary

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Ageing and challenging signal-in-noise conditions are known to engage the use of cortical resources to help maintain speech understanding. Extensive corticothalamic projections are thought to provide attentional, mnemonic and cognitive-related inputs in support of sensory inferior colliculus (IC) inputs to the medial geniculate body (MGB). Here we show that a decrease in modulation depth, a temporally less distinct periodic acoustic signal, leads to a jittered ascending temporal code, changing MGB unit responses from adapting responses to responses showing repetition enhancement, posited to aid identification of important communication and environmental sounds. Young-adult male Fischer Brown Norway rats, injected with the inhibitory …

On Preserving The Behavior In Software Refactoring: A Systematic Mapping Study, Eman Abdullah Alomar, Mohamed Wiem Mkaouer, Christian D. Newman, Ali Ouni

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Context: Refactoring is the art of modifying the design of a system without altering its behavior. The idea is to reorganize variables, classes and methods to facilitate their future adaptations and comprehension. As the concept of behavior preservation is fundamental for refactoring, several studies, using formal verification, language transformation and dynamic analysis, have been proposed to monitor the execution of refactoring operations and their impact on the program semantics. However, there is no existing study that examines the available behavior preservation strategies for each refactoring operation.

Objective: This paper identifies behavior preservation approaches in the research literature. Method: We conduct, …

Notions Of Explainability And Evaluation Approaches For Explainable Artificial Intelligence, Giulia Vilone, Luca Longo

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Explainable Artificial Intelligence (XAI) has experienced a significant growth over the last few years. This is due to the widespread application of machine learning, particularly deep learning, that has led to the development of highly accurate models that lack explainability and interpretability. A plethora of methods to tackle this problem have been proposed, developed and tested, coupled with several studies attempting to define the concept of explainability and its evaluation. This systematic review contributes to the body of knowledge by clustering all the scientific studies via a hierarchical system that classifies theories and notions related to the concept of explainability …

Social Media Influencers (Smis) In Context: A Literature Review, Charles Alves De Castro, Isobel O'Reilly Dr, Aiden Carthy

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This review focused on three main areas, "Social Media Influencers (SMIs) in Context, The Impact of SMIs on Adolescents, and Consumer Behaviour in a Digital Era – Generation Z in Perspective". This article aims to further the overall understanding of SMIs and outlines the impact of SMIs on adolescents‘ lives. Thus, the main objective of this literature review is to raise awareness within the marketing field about the influence of social media influencers on adolescents and how brands promote their products and content through social media influencers. The review comprised a regular search using electronic journal databases and secondary data …

Audio Representations For Deep Learning In Sound Synthesis: A Review, Anastasia Natsiou, Sean O'Leary

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The rise of deep learning algorithms has led many researchers to withdraw from using classic signal processing methods for sound generation. Deep learning models have achieved expressive voice synthesis, realistic sound textures, and musical notes from virtual instruments. However, the most suitable deep learning architecture is still under investigation. The choice of architecture is tightly coupled to the audio representations. A sound’s original waveform can be too dense and rich for deep learning models to deal with efficiently - and complexity increases training time and computational cost. Also, it does not represent sound in the manner in which it is …

Realising Compact Growth In Dublin; Reviewing Measures Adopted By Local Authorities To Concentrate Development Along The Proposed Metrolink Luas Greenline Transport Corridor, Paul J. Lawlor Mr

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Since 1999, there have been a noticeable evolution in the Irish national and regional planning policy towards concentrating new development within the footprint of existing towns and cities. The approach of ‘realising compact growth’ has numerous benefits including reducing carbon emissions, making more effective and economic use of existing infrastructure, avoiding urban sprawl and helping to achieve more balanced regional development. To enable its achievement, the National Planning Framework (NPF) and the Regional Spatial and Economic Strategies (RSESs) have set ambitious targets for compact urban growth and they include measures that are designed to promote the development of vacant and …

Real-Time Bidding Campaigns Optimization Using User Profile Settings, Luis Miralles-Pechuán, Muhammad Atif Qureshi, Brian Mac Namee

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Real-time bidding is nowadays one of the most promising systems in the online advertising ecosystem. In this study, the performance of RTB campaigns is improved by optimising the parameters of the users' profiles and the publishers' websites. Most studies concerning optimising RTB campaigns are focused on the bidding strategy, i.e., estimating the best value for each bid. However, this research focuses on optimising RTB campaigns by finding out configurations that maximise both the number of impressions and the average profitability of the visits. An online campaign configuration generally consists of a set of parameters along with their values such as …

A Survey Of Machine Learning Techniques For Video Quality Prediction From Quality Of Delivery Metrics, Obinna Izima, Ruairí De Fréin, Ali Malik

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A growing number of video streaming networks are incorporating machine learning (ML) applications. The growth of video streaming services places enormous pressure on network and video content providers who need to proactively maintain high levels of video quality. ML has been applied to predict the quality of video streams. Quality of delivery (QoD) measurements, which capture the end-to-end performances of network services, have been leveraged in video quality prediction. The drive for end-to-end encryption, for privacy and digital rights management, has brought about a lack of visibility for operators who desire insights from video quality metrics. In response, numerous solutions …

Provenance: An Intermediary-Free Solution For Digital Content Verification, Bilal Yousuf, M. Atif Qureshi, Brendan Spillane, Gary Munnelly, Oisin Carroll, Matthew Runswick, Kirsty Park, Eileen Culloty, Owen Conlan, Jane Suiter

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The threat posed by misinformation and disinformation is one of the defining challenges of the 21st century. Provenance is designed to help combat this threat by warning users when the content they are looking at may be misinformation or disinformation. It is also designed to improve media literacy among its users and ultimately reduce susceptibility to the threat among vulnerable groups within society. The Provenance browser plugin checks the content that users see on the Internet and social media and provides warnings in their browser or social media feed. Unlike similar plugins, which require human experts to provide evaluations and …

Beyond The Public Square: Imagining Digital Democracy, Mary Anne Franks

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To create online spaces that do not merely replicate existing hierarchies and reinforce unequal distributions of social, economic, cultural, and political power, we must move beyond the simplistic clich6 of the unregulated public square and commit to the hard work of designing for democracy.

When we say 'public square,' ... we need to ask- who or what is this public? Who owns this space, what makes it public? . . . This is the essence of democracy: the ability to question power, and the power to do so. - Tom Wilkinson

Optimization Of Unit Operations For Microencapsulating Ferrous Fumarate During Scale-Up Of Double Fortification Of Salt With Iron And Iodine, Oluwasegun Modupe, Kiruba Krishnaswamy, Yao Olive Li, Levente L. Diosady

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Objectives: This study evaluates factors responsible for the floating of iron premix in double fortified salt (DFS), which initially affected the large-scale implementation of the salt fortification program in India, and provides solutions to the scale-up of the technology.

Materials and Methods: To mitigate this time-sensitive scale-up challenge. First, the iron premix samples were obtained from the industrial scale-up pilot studies in India, evaluated for the impact of the amount of coating material (5 per cent, 7.5 per cent, and 10 per cent (in weight)), type of formulation (soy stearin, SEPIFILM and hydroxypropyl methylcellulose), amount of titanium dioxide (25-35 per …

A Quantitative Evaluation Of Global, Rule-Based Explanations Of Post-Hoc, Model Agnostic Methods, Giulia Vilone, Luca Longo

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Understanding the inferences of data-driven, machine-learned models can be seen as a process that discloses the relationships between their input and output. These relationships consist and can be represented as a set of inference rules. However, the models usually do not explicit these rules to their end-users who, subsequently, perceive them as black-boxes and might not trust their predictions. Therefore, scholars have proposed several methods for extracting rules from data-driven machine-learned models to explain their logic. However, limited work exists on the evaluation and comparison of these methods. This study proposes a novel comparative approach to evaluate and compare the …

Rces: Rapid Cues Exploratory Search Using Taxonomies For Covid-19, Wei Li, Rishi Choudhary, Arjumand Younus, Bruno Ohana, Nicole Baker, Brendan Leen, Muhammad Atif Qureshi

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To assist the COVID-19 focused researchers in life science and healthcare in understanding the pandemic, we present an exploratory information retrieval system called RCES. The system employs a previously developed EVE (Explainable Vector-based Embedding) model using DBpedia and an adopted model using MeSH taxonomies to exploit concept relations related to COVID-19. Various expansion methods are also developed, along with explanations and facets that collectively form rapid cues for a valuable navigational and informed user experience.

Shifting The Eu Taxonomy From Theory To Practice: A Review Of The Literature Highlighting Potential Academic Contributions To Its Adoption, Implementation, And Impact, Dylan Kirby, Sandra Thompson, Cormac H. Macmahon

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The EU Taxonomy seeks to identify those sustainable economic activities, thereby supporting climate change mitigation and adaptation. Recent legislation underpinning the EU Taxonomy, such as the Non-Financial Reporting Directive (NFRD) and the Sustainable Finance Disclosure Regulation (SFDR), highlight the urgency for academic contributions that might shed light on its operationalisation. At this embryonic stage in the Taxonomy’s lifecycle, there is potential for the academic community to contribute to understanding its implications. Hence, we undertake a thematic analysis of predominantly, but not exclusively, professional literature to prioritise potential empirical research or conceptualisations that might offer insights for finance and accounting professionals, …

Behind The Scenes: On The Relationship Between Developer Experience And Refactoring, Eman Abdullah Alomar, Mohamed Wiem Mkaouer, Anthony Peruma, Christian D. Newman, Ali Ouni

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Refactoring is widely recognized as one of the efficient techniques to manage technical debt and maintain a healthy software project through enforcing best design practices, or coping with design defects. Previous refactoring surveys have shown that code refactoring activities are mainly executed by developers who have sufficient knowledge of the system’s design, and disposing of leadership roles in their development teams. However, these surveys were mainly limited to specific projects and companies. In this paper, we explore the generalizability of the previous results by analyzing 800 open-source projects. We mine their refactoring activities, and we identify their corresponding contributors. Then, …

Handouts Don’T Exist. Hustle Or You Don’T Eat., Conor Mcgarrigle Dr.

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It is well established that AI has a bias problem; however, black-boxed machine learning systems render it difficult to even understand and visualize the nature and extent of the problem, let alone find solutions. This paper discusses an artistic research approach toward highlighting AI bias and explores the aesthetic potential of machine learning through a case study of an AI artwork called #RiseandGrind.The artist trained a recurrent neural network on a dataset extracted from Twitter hashtags (#Riseandgrind and #Hustle),which were selected to represent a specific filter bubble (embodied neoliberal precarity) in order to produce a biased AI that generates tweets …

Synergistic Anticancer Response Of Curcumin And Piperine Loaded Lignin-G-P (Nipam-Co-Dmaema) Gold Nanogels Against Glioblastoma Multiforme, Xinyi Zhao, Bilal Javad, Daxing Cui, James Curtin, Furong Tian

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Glioblastoma multiforme (GBM) is the most aggressive and commonly diag- 11 nosed brain cancer and presents a strong resistance to routine chemotherapeutic drugs. 12 The present study involves the synthesis of Lignin-g- p (NIPAM-co-DMAEMA) gold 13 nanogel, loaded with curcumin and piperine to treat GBM. The application has three 14 functions: (1) overcome the limitations of biodistribution, (2) enhance the toxicity of an- 15 ticancer drugs against GBM, (3) identify the uptake pathway. Atom transfer radical 16 polymerization was used to synthesize the Lignin-g-PNIPAM network, crosslinked with 17 the gold nanoparticles (GNPs) to self-assemble into nanogels. The size distribution and …

Enhanced Anticancer Response Of Curcumin- And Piperine-Loaded Lignin-G-P (Nipam-Co-Dmaema) Gold Nanogels Against U-251 Mg Glioblastoma Multiforme, Bilal Javed, Xinyi Zhao, Daxiang Cui, James Curtin, Furong Tian

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Glioblastoma multiforme (GBM) is the most aggressive and commonly diagnosed brain cancer and is highly resistant to routine chemotherapeutic drugs. The present study involves the synthesis of Lignin-g-p (NIPAM-co-DMAEMA) gold nanogel, loaded with curcumin and piperine, to treat GBM. The ongoing study has the application potential to (1) overcome the limitations of drugs biodistribution, (2) enhance the toxicity of anticancer drugs against GBM, and (3) identify the drugs uptake pathway. Atom transfer radical polymerization was used to synthesize the Lignin-g-PNIPAM network, crosslinked with the gold nanoparticles (GNPs) to self-assemble into nanogels. The size distribution and morphological analysis confirmed that the …

Caring For The Souls Of Our Students: The Evolution Of A Community Economic Development Clinic During Turbulent Times, Gowri J. Krishna, Kelly Pfeifer, Dana Thompson

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Community Economic Development (CED) clinicians regularly address issues surrounding economic, racial, and social justice, as those are the core principles motivating their work to promote vibrant, diverse, and sustainable communities. When COVID-19 arrived, and heightened attention to police brutality and racial injustice ensued, CED clinicians focused not only on how to begin to address these issues in their clinics, but on how to discuss these issues more deeply and effectively with their students. This essay highlights the ways in which the pandemic school year influenced significant rethinking of one CED clinic’s operations: first, the pandemic sharpened the clinic’s mission to …

Increasing Gender Balance Across Academic Staffing In Computer Science - Case Study, Susan Mckeever, Deirdre Lillis

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As at 2019, Technological University Dublin* Computer Science is the top university in Ireland in terms of gender balance of female academic staff in computer science schools. In an academic team of approximately 55 full-time equivalents, 36% of our academic staff are female, 50% of our senior academic leadership team (2 of 4) are female and 75% of our School Executive are female (3 of 4), including a female Head of School. This is as a result of our seven year SUCCESS programme which had a four strand approach: Source, Career, Environment and Support. The Source strand explicitly encouraged females …

Teaching Meiosis With The Dna Triangle Framework: A Classroom Activity That Changes How Students Think About Chromosomes, Leslie Kate Wright, Paulina Cortez, Margaret A. Franzen, Dina L. Newman

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Many biology students struggle to learn about the process of meiosis and have particular difficulty understanding the molecular basis of crossing over and the importance of homologous pairing for proper segregation. To help students overcome these challenges, we designed an activity that uses a newly developed Chromosome Connections Kit® from 3-D Molecular Designs to allow learners to explore meiosis at the molecular level. We took a backwards design approach in constructing an effective classroom activity. We developed evidence-based learning objectives and designed a crossing over activity that targets students' misconceptions and key concepts about meiosis. Assessment questions were designed based …