Digital Commons Network^™

An Empirical Comparison Of The Security And Performance Characteristics Of Topology Formation Algorithms For Bitcoin Networks, Muntadher Sallal, Ruairí De Fréin, Ali Malik, Benjamin Aziz

Articles

There is an increasing demand for digital crypto-currencies to be more secure and robust to meet the following business requirements: (1) low transaction fees and (2) the privacy of users. Nowadays, Bitcoin is gaining traction and wide adoption. Many well-known businesses have begun accepting bitcoins as a means of making financial payments. However, the susceptibility of Bitcoin networks to information propagation delay, increases the vulnerability to attack of the Bitcoin network, and decreases its throughput performance. This paper introduces and critically analyses new network clustering methods, named Locality Based Clustering (LBC), Ping Time Based Approach (PTBC), Super Node Based Clustering …

Recognising The Unseen: Emotional Labour In Teenage And Adolescent Care, John Bowe

Articles

This study delves into the often-overlooked aspect of Emotional Labour (EL) within social care work, specifically focusing on its impact on social care workers who support teenagers and adolescents. EL, defined as managing emotions to meet organisational objectives, is crucial in shaping best practices within care professions. While EL can yield positive outcomes, this study primarily examines its negative repercussions, particularly in relation to professional burnout among social care workers. The study explores the organisational barriers that may compel social care workers to emotionally detach from their roles as a protective measure through quantitative analysis. Drawing on Hochschild's EL concept …

Facilitating Open Science Without Sacrificing Ip Rights, Or Cohen Sasson, Ofer Tur‐Sinai

Articles

No abstract provided.

Judging Offensiveness: A Rubric For Privacy Torts, Patricia S. Abril, Alissa Del Riego

Articles

How do we judge whether a violation of someone's privacy is offensive? Currently, U.S. tort law requires privacy violations be "highly offensive to a reasonable person" to afford redress. However, our research reveals that there is no effective analysis-or rhyme or reason-to determine what conduct, disclosure, or implication is offensive. Our review of hundreds of privacy tort cases concludes that the ambiguity of the offensiveness prong has created opportunity for both significant legal errors and thriving biases, which often lead to discriminatory and neglectful treatment of women, racial minorities, and other marginalized groups. This is particularly alarming because the offensiveness …

Auditing Google's Search Headlines As A Potential Gateway To Misleading Content: Evidence From The 2020 Us Election, Himanshu Zade, Morgan Wack, Yuanrui Zhang, Kate Starbird, Ryan Calo, Jason Young, Jevin D. West

Articles

The prevalence and spread of online misinformation during the 2020 US presidential election served to perpetuate a false belief in widespread election fraud. Though much research has focused on how social media platforms connected people to election-related rumors and conspiracy theories, less is known about the search engine pathways that linked users to news content with the potential to undermine trust in elections. In this paper, we present novel data related to the content of political headlines during the 2020 US election period. We scraped over 800,000 headlines from Google's search engine results pages (SERP) in response to 20 election-related …

Dialogue Policies For Confusion Mitigation In Situated Hri, Na Li, Robert J. Ross

Articles

Confusion is a mental state triggered by cognitive disequilibrium that can occur in many types of task-oriented interaction, including Human-Robot Interaction (HRI). People may become confused while interacting with robots due to communicative or even task-centred challenges. To build a smooth and engaging HRI, it is insufficient for an agent to simply detect confusion; instead, the system should aim to mitigate the situation. In light of this, in this paper, we present our approach to a linguistic design of dialogue policies to build a dialogue framework to alleviate interlocutor confusion. We also outline our sketch and discuss challenges with respect …

Visual Factors Associated With Physical Activity In Schoolchildren, Síofra Harrington, John Kearney Prof, Veronica O'Dwyer Dr

Articles

Clinical relevance Physical activity is an essential part of childhood physical and mental development. Recent research identified visual problems associated with a sedentary lifestyle in children in Ireland.

Background This study explored the association between visual function in children and their engagement with physical activities outside school.

Methods Participants were 1,626 schoolchildren (728 aged 6–7 years, 898 old 12–13 years) in randomly selected schools in Ireland. Before data collection, parents/legal guardians of participants completed a standardised questionnaire reporting physical activity as no activity (mostly on screens), light activity (occasional walking/cycling), moderate activity (/week engaged in sports), or regular activity ( …

Experimental Performance Evaluation Of A Convective Thermoelectric Building Envelope For Building Heating And Cooling, Xiaoli Liu, Kazuaki Yazawa, Ming Qu, Orkan Kurtulus, Brian Norton, Niall Holmes Dr., Ruchita Jani, Jorge Kohanoff, Lorenzo Stella, Conrad Johnston, Hongxi Yin

Articles

The thermoelectric building envelope (TBE) integrates thermoelectric materials with the building envelope for active space heating and cooling. The advantage of TBE heating and cooling includes its significantly low-profile design and no refrigerant use. Although there are existing studies evaluating TBE performance, they were based on limited operating conditions. The study aims to experimentally evaluate the heating and cooling performance of a TBE prototype under various operating conditions. The TBE prototype was installed between two psychrometric chambers, which simulated indoor and outdoor conditions. The prototype was tested at an indoor temperature of around 22.35–23.58 degrees C and outdoor temperatures from …

“It's So Normal, And … Meaningful.” Playing With Narrative, Artifacts, And Cultural Difference In Florence, Dheepa Sundaram, Owen Gottlieb

Articles

This article considers how player interactions with religious and ethnic markers, create

a globalized game space in the mobile game Florence (2018). Florence is a multiaward-

winning interactive novella game with story-integrated minigames that weave

play experiences into the narrative. The game, in part, explores love, loss, and

rejuvenation as relatable experiences. Simultaneously, the game produces a unique

experience for each player, as they can refract the game narrative through their own

cultural, identitarian lens. The game assumes the shared cultural space of the player,

the player-character (PC), and the non-player-character (NPC) while blurring the

boundaries between each of these …

Understanding The Interplay Between Immigrant Nascent Entrepreneurship And Cross-Cultural Adaptation, Lucia Walsh, Thomas M. Cooney

Articles

Purpose

All entrepreneurs face challenges during their venture start-up process, but immigrant entrepreneurs face additional and distinctive challenges due to their contextual newness. This paper focuses on understanding the intertwined journeys of nascent entrepreneurship and cross-cultural adaptation of immigrants in a small Western European country where immigrant entrepreneurship is still a relatively new phenomenon.

Design/methodology/approach

The induction-driven, 18-month longitudinal empirical inquiry focused on six early-stage nascent entrepreneurs. Qualitative methods included participant observation during an enterprise program, qualitative interviews and ongoing informal communication.

Findings

The data uncovered the interplay between the nascent immigrant entrepreneurship and cross-cultural adaptation. This led to the …

A Physical Layer Security (Pls) Approach Through Address Fed Mapping Crest Factor Reduction Applicable For 5g/6g Signals, Somayeh Mohammady, David Malone Prof.

Articles

The privacy and security of 5G/6G infrastructures are receiving great attention together with power consumption and efficiency. Here, Physical Layer Security (PLS) is considered and a technique named Address Fed Mapping (AFM) is proposed which not only enhances the physical layer security, but also reduces the effect of high Peak to Average Power Ratio (PAPR), which results in efficiency improvement in OFDM based signals used in beyond 5G and 6G. The AFM is designed based on the idea of randomly generated signals, modifying the original signal to reduce PAPR. Instead of a typical randomization algorithm, a unique key is generated …

Physiognomic Artificial Intelligence, Luke Stark, Jevan Hutson

Articles

The reanimation of the pseudosciences of physiognomy and phrenology at scale through computer vision and machine learning is a matter of urgent concern. This Article—which contributes to critical data studies, consumer protection law, biometric privacy law, and antidiscrimination law—endeavors to conceptualize and problematize physiognomic artificial intelligence (“AI”) and offer policy recommendations for state and federal lawmakers to forestall its proliferation.

Physiognomic AI, as this Article contends, is the practice of using computer software and related systems to infer or create hierarchies of an individual’s body composition, protected class status, perceived character, capabilities, and future social outcomes based on their physical …

A Computational Approach To Evaluating Curricular Alignment To The United Nations Sustainable Development Goals, Philippe Lemarchand, Mick Mckeever, Cormac Macmahon, Philip Owende

Articles

The United Nations (UN) considers universities to be key actors in the pursuit of the Sustainable Development Goals (SDGs). Yet, efforts to evaluate the embeddedness of the SDGs in university curricula tend to rely on manual analyses of curriculum documents for keywords contained in sustainability lexica, with little consideration for the diverse contexts of such keywords. The efficacy of these efforts, relying on expert co-elicitation in both subject-matter contexts and sustainability, suffers from drawbacks associated with keyword searches, such as limited coverage of key concepts, difficulty in extracting intended meaning and potential for greenwashing through “keyword stuffing.” This paper presents …

Accessdesign: An Inclusive Co-Design Toolkit For The Creation Of Accessible Digital Tools., Claudia Fernandez-Rivera, Sarah Boland, Eamon Aswad, John Gilligan, Dympna O'Sullivan, Emma Murphy

Articles

Existing toolkits and resources to support co-design are not always accessible to designers and co-designers with disabilities. In this paper we present a study based on an innovative co-design programme, in collaboration with St John of God Community Services, where 3rd year computer science students work with service users with intellectual disabilities to create digital applications together. We conducted a series of co-design focus group sessions involving the service users who were previously involved in the co-design collaboration with SJOG Services and TU Dublin. The data collected during these design sessions has been integrated to form an accessible design toolkit …

Uncovering Inclusivity Gaps In Design Pedagogy Through The Digital Design Marginalization Framework, Jaisie Sin, Cosmin Munteanu, Michael Nixon, Velian Pandeliev, Garreth W. Tigwell, Kristen Shinohara, Anthony Tang, Steve Szigeti

Articles

Designers play a key role in the design of inclusive and socially conscious interfaces. Thus, it is imperative for designers to be thoughtful of the ethical and social implications of design. However, gaps in the foundational training that designers receive (e.g., as university students) can negatively impact their ability to consider the social implications of their design practice. This can result in consequences such as digital marginalization, which, as defined by the Digital Design Marginalization (DDM) framework, is the “pushing away”, whether intentional or not, of a defined group of users from a digital or online service or system, where …

Addressing Ethical Issues In The Design Of Smart Home Technology For Older Adults And People With Disabilities., Jonathan Turner, Dympna O'Sullivan, Damian Gordon, Yannis Stavrakakis, Brian Keegan, Emma Murphy

Articles

Unique ethical, privacy and safety implications arise for people who are reliant on home-based smart technology due to health conditions or disabilities. In this paper we highlight a need for a reflective, inclusive ethical framework that encompasses the life cycle of smart home technology. We present key ethical considerations for smart home technology for older adults and people with disabilities and argue for ethical frameworks which combine these key considerations with existing models of design and development.

Load-Adjusted Prediction For Proactive Resource Management And Video Server Demand Profiling, Obinna Izima, Ruairí De Fréin

Articles

To lower costs associated with providing cloud resources, a network manager would like to estimate how busy the servers will be in the near future. This is a necessary input in deciding whether to scale up or down computing requirements. We formulate the problem of estimating cloud computational requirements as an integrated framework comprising of a learning and an action stage. In the learning stage, we use Machine Learning (ML) models to predict the video Quality of Delivery (QoD) metric for cloud-hosted servers and use the knowledge gained from the process to make resource management decisions during the action stage. …

Co-Design To Support Engagement In Activities Of Daily Living And Meaningful Activities For People Living With Dementia, Michael Wilson, Julie Doyle, Ann Marron, Jonathan Turner, Ciaran Nugent, Dympna O'Sullivan

Articles

Dementia is a chronic and progressive neurodegenerative illness, which can lead to significant difficulties in a person’s capacity to perform activities of daily living and engage in meaningful activities. The Smart Dementia Care project aims to establish an understanding of how best to design digital tools that persons with dementia and their carers will find useful and usable for care planning and goal setting. This paper discusses the first phase of this project and describes how co-design is being used to support engagement in activities of daily living and meaningful activities for people living with the early stages of dementia, …

Developing A Customised Note By Note Prototype Recipe Which Can Be 3d Printed, Roisin Burke, Pauline Danaher

Articles

Note by Note (NbN) cooking and 3D food printing individually and in combination allow for the creation of customized foods. A NbN recipe was developed and printed using a Procusini 3.0, 3D food printer. The recipe was adapted from a commercial powdered pastry dough recipe, to create two versions of a prototype food, containing in each case a different plant-based protein, i.e., soya (Glycine max L.) or hemp (Cannabis sativa). The printed foods were identical in shape and had a crisp consistency following cooking. They had different colours and contained different proteins in the amounts of 10.3 % of soya …

The Dna Landscape: Development And Application Of A New Framework For Visual Communication About Dna, Leslie Kate Wright, Emalee Wrightstone, Lauren Trumpore, Julia Steele, Deanna M. Abid, Dina L. Newman

Articles

Learning molecular biology involves using visual representations to communicate ideas about largely unobservable biological processes and molecules. Genes and gene expression cannot be directly visualized, but students are expected to learn and understand these and related concepts. Theoretically, textbook illustrations should help learners master such concepts, but how are genes and other DNA-linked concepts illustrated for learners? We examined all DNA-related images found in 12 undergraduate biology textbooks to better understand what biology students encounter when learning concepts related to DNA. Our analysis revealed a wide array of DNA images that were used to design a new visual framework, the …

The Patent Medium: Toward A Network Paradigm Of The Patent System, Or Cohen Sasson

Articles

The modern patent system is conceived of as an information platform; it is evident in the common description of the patent system as a quid-pro-quo bargain: Society grants exclusive rights in exchange for information published by a patentee. But is there more to the patent system than merely informing others? Does the patent system also serve as a communication (and not only information) platform, namely, as a medium? Based on an interdisciplinary analysis of the patent system's structure and features through the lenses of communication studies, this Article suggests that it does. It demonstrates how the patent system as a …

Freedom From Speech, Mary Anne Franks

Articles

The importance of freedom of speech in a democratic society is usually taken as a given, but freedom from speech is no less important in safeguarding the values of truth, autonomy, and democracy. Freedom from speech includes both the right of the individual to not be forced to speak and the freedom to avoid the speech of others. This essay attempts to highlight the significance of freedom from speech in order to clarify the importance of the First Amendment right against compelled speech; provide an explanation for when the right of free speech yields to other rights; and offer a …

Kf-Loc: A Kalman Filter And Machine Learning Integrated Localization System Using Consumer-Grade Millimeter-Wave Hardware, Abhishek Vashist, Maojia Li, Amlan Ganguly, Sai Manoj P. D., Clark Hochgraf, Raymond Ptucha, Andres Kwasinski, Michael E. Kuhl

Articles

With the ever-increasing demands of e-commerce, the need for smarter warehousing is increasing exponentially. Such warehouses requires industry automation beyond Industry 4.0. In this work, we use consumer-grade millimeter-wave (mmWave) equipment to enable fast, and low-cost implementation of our localization system. However, the consumer-grade mmWave routers suffer from coarse-grained channel state information due to cost-effective antenna array design limiting the accuracy of localization systems. To address these challenges, we present a Machine Learning (ML) and Kalman Filter (KF) integrated localization system (KF-Loc). The ML model learns the complex wireless features for predicting the static position of the robot. When in …

Anticompetitive Merger Review, Samuel N. Weinstein

Articles

U.S. antitrust law empowers enforcers to review pending mergers that might undermine competition. But there is growing evidence that the merger-review regime is failing to perform its core procompetitive function. Industry concentration and the power of dominant firms are increasing across key sectors of the economy. In response, progressive advocates of more aggressive antitrust interventions have critiqued the substantive merger-review standard, arguing that it is too friendly to merging firms. This Article traces the problem to a different source: the merger-review process itself. The growing length of reviews, the competitive restrictions merger agreements place on acquisition targets during review, and …

Friend Or Foe? Defining The Role Of Glutamate In Aging And Alzheimer’S Disease, Makayla F. Cox, Erin R. Hascup, Andrzej Bartke, Kevin Hascup

Articles

Aging is a naturally occurring decline of physiological processes and biological pathways that affects both the structural and functional integrity of the body and brain. These physiological changes reduce motor skills, executive function, memory recall, and processing speeds. Aging is also a major risk factor for multiple neurodegenerative disorders including Alzheimer’s disease (AD). Identifying a biomarker, or biomarkers, that signals the transition from physiological to pathological aging would aid in earlier therapeutic options or interventional strategies. Considering the importance of glutamate signaling in synaptic plasticity, motor movement, and cognition, this neurotransmitter serves as a juncture between cognitive health and disease. …

Gastro-Tourism Well-Being: The Interplays Of Salient And Enduring Determinants, Muhammet Kesgin, Irfan Onal, Ihsan Kazkondu, Muzaffer Uysal

Articles

Purpose-This research developed and tested an integrated structural gastro-tourism well-being model consisting of food-related lifestyle and leisure attitude as precursor of the consumption enjoyment of the gastro-tourism experience with satisfaction, life domain outcomes, tourism autobiographical memory and life satisfaction as outcomes of the consumption enjoyment. Design/methodology/approach – The conceptual model was assessed with quantitative data collected from tourists based on their deliberate and incidental gastro-tourism experiences (N=617). Findings – Findings indicated that enjoyment of gastro-tourism consumption experience significantly influences satisfaction, life domain outcomes, life satisfaction, and tourism autobiographical memory. Life domain outcomes and tourism autobiographical memory have enduring influence on …

A Goal-Driven Framework For Individualised Self-Care For Early-Stage Dementia, Jonathan Turner, Ciaran Nugent, Damon Berry, Dympna O'Sullivan, Michael Wilson, Ann Marron, Julie Doyle

Articles

For people with early or moderate dementia, there are benefits to them continuing to live in their own homes for as long as possible, both in improved quality of life and associated measures such as increased social contact, increased physical activity and lower use of medication, and reduced costs and burden of care. Tools to help extend period of independent living, and to maintain quality of life in this period, are lacking. Systems exist to monitor individuals for problems, e.g. falls or wandering from the home, but there is scope for development of computerised support to help maintain activity in …

Sustainable Building Without Certification: An Exploration Of Implications And Trends, Yewande Abraham, Lisa Greenwood, Jennifer Schneider

Articles

Background: Sustainable buildings play a pivotal role in meeting the United Nations Sustainable Development Goals (UN SDGs). However, the criteria and process for certification associated with sustainable building rating systems have been seen by many as either cumbersome or too expensive. As a result, some buildings are constructed following sustainable building guidelines without necessarily pursuing external certification. This paper takes a critical look at sustainable building without certification in the US and addresses 3 questions: (1) What is the rationale behind not pursuing certification? (2) When certification is not part of the objective, how are particular sustainability criteria selected? (3) …

Soft-Mask De-Mixing For Anechoic Mixtures, Swarnadeep Bagchi, Ruairí De Fréin

Articles

This paper extends a computationally efficient, soft-mask based source separation (SS) technique called Redress, to anechoic mixing scenarios. SS methods are an integral part of hearing aid research. We call the resulting method D-Redress. In its original form, Redress was intended for instantaneous mixing scenarios. Numerical evaluations demonstrate that soft-mask based techniques reduce the level of artifacts in the separated speech. Monte Carlo trials on 1000 real speech mixtures demonstrate that the D-Redress successfully extends Redress in terms of Overall-Perceptual (OPS), Target-Perceptual (TPS) scores and Human-Ear Intelligibility (HEI).

Osm-Gan: Using Generative Adversarial Networks For Detecting Change In High-Resolution Spatial Images, Lasith Niroshan, James Carswell

Articles

Detecting changes to built environment objects such as buildings/roads/etc. in aerial/satellite (spatial) imagery is necessary to keep online maps and various value-added LBS applications up-to-date. However, recognising such changes automatically is not a trivial task, and there are many different approaches to this problem in the literature. This paper proposes an automated end-to-end workflow to address this problem by combining OpenStreetMap (OSM) vectors of building footprints with a machine learning Generative Adversarial Network (GAN) model - where two neural networks compete to become more accurate at predicting changes to building objects in spatial imagery. Notably, our proposed OSM-GAN architecture achieved …