Digital Commons Network^™

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

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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.

Crypto: The Prospect Of Regulatory Competition, Charles M. Yablon

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No abstract provided.

Antitrust Regulation Of Copyright Markets, Jacob Noti-Victor, Xiyin Tang

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Late last year, a federal court sided with the Department of Justice and blocked the planned merger of book publishers Simon & Schuster and Penguin Random House. The decision was a rare collision between antitrust law and the deeply consolidated copyright content industries. Over the course of the past decade, acquisitions and mergers in the recording, music publishing, and audiovisual space have left just a handful of juggernaut content producers in their wake. Moreover, new technology companies that have entered the content-creation and distribution markets have begun to leverage their scale to further their own industry consolidation.

This Article examines …

Impact Of Population Aging On Future Temperature-Related Mortality At Different Global Warming Levels, Multi-Country Multi-City (Mcc) Collaborative Network, Patrick Goodman

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Older adults are generally amongst the most vulnerable to heat and cold. While temperature-related health impacts are projected to increase with global warming, the influence of population aging on these trends remains unclear. Here we show that at 1.5 °C, 2 °C, and 3 °C of global warming, heat-related mortality in 800 locations across 50 countries/areas will increase by 0.5%, 1.0%, and 2.5%, respectively; among which 1 in 5 to 1 in 4 heat-related deaths can be attributed to population aging. Despite a projected decrease in cold-related mortality due to progressive warming alone, population aging will mostly counteract this trend, …

A Comparative Study On Feature Extraction Techniques For The Discrimination Of Frontotemporal Dementia And Alzheimer's Disease With Electroencephalography In Resting-State Adults, Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo

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Early-stage Alzheimer's disease (AD) and frontotemporal dementia (FTD) share similar symptoms, complicating their diagnosis and the development of specific treatment strategies. Our study evaluated multiple feature extraction techniques for identifying AD and FTD biomarkers from electroencephalographic (EEG) signals. We developed an optimised machine learning architecture that integrates sliding windowing, feature extraction, and supervised learning to distinguish between AD and FTD patients, as well as from healthy controls (HCs). Our model, with a 90% overlap for sliding windowing, SVD entropy for feature extraction, and K-Nearest Neighbors (KNN) for supervised learning, achieved a mean F1-score and accuracy of 93% and 91%, 92.5% …

Synthetic Dataset Generation Using Photo-Realistic Simulation With Varied Time And Weather Axes, Thomas Lee, Susan Mckeever, Jane Courtney

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To facilitate the integration of autonomous unmanned air vehicles (UAVs) in day-to-day life, it is imperative that safe navigation can be demonstrated in all relevant scenarios. For UAVs using a navigational protocol driven by artificial neural networks, training and testing data from multiple environmental contexts are needed to ensure that bias is minimised. The reduction in predictive capacity when faced with unfamiliar data is a common weak point in trained networks, which worsens the further the input data deviates from the training data. However, training for multiple environmental variables dramatically increases the man-hours required for data collection and validation. In …

A Scholarly Judge: The Honorable William Holcombe Pryor Jr., Kenneth M. Rosen

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No abstract provided.

Inequitable Organ Allocation, Benjamin Mcmichael

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Seventeen people die every day in the United States waiting for an organ transplant, and over 100,000 people are currently on waitlists to receive a donated organ. Given these stark numbers, the allocation policies governing who receives donated organs are both critically important and hotly debated. Congress passed the National Organ Transplant Act in 1984 with the goal of eliminating markets for organs and the promise of equitable access to transplants without regard to geography or socioeconomic status. Despite these laudable goals, recent developments in organ allocation policy have led to multiple lawsuits, congressional inquiries, and an expose in the …

A Business Model For Communication Design Enterprises, Con Kennedy

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Several international reports and studies indicate that the Communication Design sector has a skill deficit in entrepreneurship and business management, and a greater understanding of these topics is needed. Some authors advocate applying existing business models for design enterprises. However, the skill deficit prevails. It is worth noting that these reports discuss the entrepreneurship deficit in general terms without an explanation of the causes of this deficit or how to remedy the issue. Therefore, this paper explores the development of a Business Model specific for Design Entrepreneurs for deployment in Communication Design enterprises.A theoretical framework for a specific business model …

Action Recognition For Human–Robot Teaming: Exploring Mutual Performance Monitoring Possibilities, Shakra Mehak, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva

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Human–robot teaming (HrT) is being adopted in an increasing range of industries and work environments. Effective HrT relies on the success of complex and dynamic human–robot interaction. Although it may be optimal for robots to possess all the social and emotional skills to function as productive team members, certain cognitive capabilities can enable them to develop attitude-based competencies for optimizing teams. Despite the extensive research into the human–human team structure, the domain of HrT research remains relatively limited. In this sense, incorporating established human–human teaming (HhT) elements may prove practical. One key element is mutual performance monitoring (MPM), which involves …

Valuing Social Data, Amanda Parsons, Salome Viljoen

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Social data production—accumulating, processing, and using large volumes of data about people—is a unique form of value creation that characterizes the digital economy. Social data production also presents critical challenges for the legal regimes that encounter it. This Article provides scholars and policymakers with the tools to comprehend this new form of value creation through two descriptive contributions. First, it presents a theoretical account of social data, a mode of production that is cultivated and exploited for two distinct (albeit related) forms of value: prediction value and exchange value. Second, it creates and defends a taxonomy of three “scripts” that …

Congress And Shifting Sands In Administrative Law., Christopher J. Walker

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In recent years, we have seen an anti-administrativist turn in the federal judiciary, with the Supreme Court limiting agency power in important respects. These shifting sands in administrative law seem to be motivated, at least in part, by the Court’s perception of the rise of presidential administration and decline in legislative activity. As part of the Widener Commonwealth Law Review Judging in Administrative Law Symposium, this Essay assesses how the Court has responded to concerns about over-presidentialism and then sketches out several ways Congress can respond to reassert itself in federal lawmaking.

Feedback Loops: Fortifying Feedback, Patrick Barry

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Feedback has an Important role to play in the fight against impostor syndrome and its many toxic by-products, including isolation, dread, depression, drops in motivation, and negative self-talk. In 2013, for example, one of the American Psychological Association’s oicial publications, gradPSYCH magazine, ran a cover story called “Feel like a Fraud?” that highlighted the stabilizing power that the right kind of feedback can provide. “he thing that made so much diference was supportive, encouraging supervision,” explained a graduate student interviewed for the story.

Channeling A Federal Right To Education Through State Constitutions And Courts, Nicole Sunderlin, Evan Caminker

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Professor Black attributes the ubiquitous adoption of education clauses in state constitutions in the immediate pre- and especially post-Reconstruction era to a “constitutional compromise” struck by Congress and the states. The State Citizenship commitment was designed to enhance the republican nature of both levels of governance by ensuring broader access to political participation through voting and broader access to public education to inform and support democratic deliberation. The education component of this commitment was uniquely secured, argues Black, through a state-federal compromise using two complementary mechanisms: first, by mandating states to embrace a state constitutional obligation to provide basic educational …

A Fractured Supreme Court: Select Criminal Law And Procedure Cases From The Supreme Court’S 2023-24 Term, Eve Brensike Primus, Jordan Schuler

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In its 2023-2024 Term, the Supreme Court outlined the contours of when a former President of the United States would be immune from criminal prosecution; issued important decisions interpreting the scope of the Cruel and Unusual Punishments Clause, the Double Jeopardy Clause, the Confrontation Clause, and the Second Amendment right to bear arms; decided a number of important statutory interpretation cases; and continued to avoid Fourth Amendment issues, only addressing them in the context of a malicious prosecution charge. Perhaps more striking than the Court’s decisions in these cases, though, was the Justices’ lack of consensus. Of the 16 criminal …

The Steady Decline Of Club Culture In Dublin: Neoliberal Policy, Touristification And The Pandemic, Caroline Ann O'Sullivan

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The public health restrictions implemented by the Irish government due to Covid-19 resulted in one of the most extensive music industry lockdowns in Europe. Dublin, however, was already experiencing a large scale contraction of club culture. Prior to the pandemic, the physical spaces that dance music and club culture thrived in over the past 40 years had greatly diminished, many being demolished to make way for hotels and upmarket student accommodation. The onset of the pandemic meant this contraction intensified, and 2021 and 2022 saw the permanent closure of a number of high-profile and pivotal venues across the city. In …

Ideological Presuppositions In Media Coverage Of Corporation Tax Policy In The Uk And Ireland: A Critical Discourse Analysis, Ciara Graham, Brendan K. O'Rourke

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This paper argues that the state's capacity to tax corporations in order to fund itself is reaching crisis proportions. Following decades of trade liberalization, deregulation, and globalization, large multinational companies have been able to take advantage of tax competition between states in order to avoid taxation and offset their obligations. This crisis, arguably, has been facilitated by state actors and exacerbated by non-state actors: we explore the ways in which multi-national corporations (MNCs) manipulate their capital, assets, and supply chains to minimize their tax burdens; and we further consider the ways in which media narratives construct this issue and whether …

Truth Bounties: A Market Solution To Fake News, Yonathan A. Arbel, Michael D. Gilbert

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False information poses a threat to individuals, groups, and society. Many people struggle to judge the veracity of the information around them, whether that information travels through newspapers, talk radio, TV, or social media. Concerned with the spread of misinformation and harmful falsehoods, much of the policy, popular, and scholarly conversation today revolves around proposals to expand the regulation of individuals, platforms, and the media. While more regulation may seem inevitable, it faces constitutional and political hurdles. Furthermore, regulation can have undesirable side effects and be ripe for abuse by powerful actors, public and private.

This Article presents an alternative …

Enhancing Control Room Operator Decision Making, Joseph Mietkiewicz, Ammar N. Abbas, Chidera W. Amazu, Gabriele Baldissone, Anders L. Madsen, Micaela Demichela, Maria Chiara Leva

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In the dynamic and complex environment of industrial control rooms, operators are often inundated with numerous tasks and alerts, leading to a state known as task overload. This condition can result in decision fatigue and increased reliance on cognitive biases, which may compromise the decision-making process. To mitigate these risks, the implementation of decision support systems (DSSs) is essential. These systems are designed to aid operators in making swift, well-informed decisions, especially when their judgment may be faltering. Our research presents an artificial intelligence (AI)-based framework utilizing dynamic influence diagrams and reinforcement learning to develop a powerful decision support system. …

Mental Workload Classification And Tasks Detection In Multitasking: Deep Learning Insights From Eeg Study, Miloš Pušica, Aneta Kartali, Luka Bojović, Ivan Gligorijević, Jelena Jovanović, Maria Chiara Leva, Bogdan Mijović

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While the term task load (TL) refers to external task demands, the amount of work, or the number of tasks to be performed, mental workload (MWL) refers to the individual's effort, mental capacity, or cognitive resources utilized while performing a task. MWL in multitasking scenarios is often closely linked with the quantity of tasks a person is handling within a given timeframe. In this study, we challenge this hypothesis from the perspective of electroencephalography (EEG) using a deep learning approach. We conducted an EEG experiment with 50 participants performing NASA Multi-Attribute Task Battery II (MATB-II) under 4 different task load …

Collaborative Intelligence For Safety-Critical Industries: A Literature Review, Inês F. Ramos, Gabriele Gianini, Maria Chiara Leva, Ernesto Damiani

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While AI-driven automation can increase the performance and safety of systems, humans should not be replaced in safety-critical systems but should be integrated to collaborate and mitigate each other's limitations. The current trend in Industry 5.0 is towards human-centric collaborative paradigms, with an emphasis on collaborative intelligence (CI) or Hybrid Intelligent Systems. In this survey, we search and review recent work that employs AI methods for collaborative intelligence applications, specifically those that focus on safety and safety-critical industries. We aim to contribute to the research landscape and industry by compiling and analyzing a range of scenarios where AI can be …

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

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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 …

Biosensor-Enhanced Organ-On-A-Chip Models For Investigating Glioblastoma Tumor Microenvironment Dynamics, Gayathree Thenuwara, Bilal Javed, Baljit Singh, Furong Tian

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Glioblastoma, an aggressive primary brain tumor, poses a significant challenge owing to its dynamic and intricate tumor microenvironment. This review investigates the innovative integration of biosensor-enhanced organ-on-a-chip (OOC) models as a novel strategy for an in-depth exploration of glioblastoma tumor microenvironment dynamics. In recent years, the transformative approach of incorporating biosensors into OOC platforms has enabled real-time monitoring and analysis of cellular behaviors within a controlled microenvironment. Conventional in vitro and in vivo models exhibit inherent limitations in accurately replicating the complex nature of glioblastoma progression. This review addresses the existing research gap by pioneering the integration of biosensor-enhanced OOC …

A Comprehensive Review Of Food Safety Culture In The Food Industry: Leadership, Organizational Commitment, And Multicultural Dynamics, Ashwini Sadashiv Pai, Swarna Jaiswal, Amit K. Jaiswal

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Food safety culture (FSC) has transitioned from a narrow compliance-based concept to a comprehensive organisational value that is essential for ensuring food safety. This review explores the pivotal roles of leadership, organisational commitment, and cultural diversity in shaping an effective FSC. It highlights how leadership style, particularly transformational leadership, can enhance employee engagement and foster a proactive safety culture. Additionally, the impact of national and organisational cultures on FSC is analysed, emphasising the challenges posed by a multicultural workforce in standardising food safety practices. This article also provides a comparative analysis of FSC across various sectors, such as meat and …

Feedback Loops: Feedback Machines, Patrick Barry

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Yes, AI raises serious concerns about bias, privacy, copyright infringement, environmental sustainability, and a whole bunch of other important topics. But if you are looking for a positive use case - and a new way to approach professional development - try asking chatgpt or some other AI chatbot for feedback, especially on something you've written.

Is You Is Or Is You Ain’T My Client? Navigating The Mysteries Of Prospective And Organizational Representation, Leonard Niehoff

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Many years ago, I was trying a civil case that had stretched on for weeks in a federal court in Detroit. The counsel tables for both parties were covered with briefs, coffee cups, memoranda, books, water pitchers, examination outlines, yellow writing pads, and all the other litter that inevitably piles up during long trials. It appeared that we had moved in, just as at our actual homes it appeared that we had moved out.

Synthesis Of Cationic Liposome Nanoparticles Using A Thin Film Dispersed Hydration And Extrusion Method, Alessandro Cazzolla, Julie Rose Mae Mondala, Janith Wanigasekara, Joanna Carroll, Noah Daly, Brijesh Tiwari, Alan Casey, James F. Curtin

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Liposome nanoparticles can carry a wide range of therapeutic molecules including small molecules and nucleic acid-based therapeutics. Potential benefits include translocation across physiological barriers, reduced systemic toxicity, and enhanced pharmacokinetic parameters such as absorption, distribution, selective release and optimal elimination kinetics. Liposome nanoparticles can be generated with a wide range of natural and synthetic lipid-based molecules that confer desirable properties depending on the desired therapeutic application Nel et al (2023), Large (2021), Elkhoury (2020). This protocol article seeks to detail the procedures involved in the production of cationic liposomes using thin-film dispersed hydration method with an estimated uniform size of …

Synergistic Cytotoxicity Effect Of Ultrasound And Plasma Microbubble In Glioblastoma 3d Tumor Sphere Model, Janith Wanigasekara, Patrick J. Cullen, Brijesh Tiwari, James F. Curtin

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The combined application of ultrasound (US) and plasma microbubble (PMB) is a promising technology against glioblastoma (GBM). Here, we determined the effects of US and PMB (alone and combined) on U-251 MG GBM and A431 epidermoid carcinoma spheroids under different conditions. The synergistic treatment of US- and PMB-induced tumor sphere cell death in a time-, dose-, treatment frequency-, and reactive oxygen species dependent manner, while multiple treatments augmented this effect. Synergistic treatments significantly reduced three-dimensional GBM spheroid regrowth and cell proliferation while inducing cytotoxicity, spheroid shrinkage, and damage to the tumor microenvironment. PMB-induced cytotoxicity throughout the tumor sphere, likely via …

The Next Generation, Jeremiah Chin

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What would the law look like if we let children remake it? Laws govern, classify, and circumscribe children who inherit the law and its consequences. Discourses of power invoke children as rhetorical strategies to gain political favor or obviate a position—yet children are uncritically excluded from participating in the systems that control them. Children are subjected to the laws and objects of legislation, but denied the rights, autonomy, or authority to participate in the making of law and policy. Even the conceptualization of the constitutional rights of children is treated as an assumption, ill-defined and under theorized by traditional legal …

America's Next "Stop Model!": Model Deletion, Jevan Hutson, Ben Winters

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This Essay explores the emergence of model deletion- the compelled destruction or dispossession of certain data, algorithms, models, and associated work products created or shaped by illegal means- as a remedy, right, and requirement for harmful applications of Al and ML systems. Part I examines model deletion's emergence as a consumer protection remedy and its conception as a positive right and regulatory requirement. Part II considers the constellation of federal and state actors, such as federal and state enforcement agencies and legislative bodies, who might seek model deletion to address particular Al and ML harms. Part III underscores the need …