Digital Commons Network^™

Asking Gpt For The Ordinary Meaning Of Statutory Terms, Richard Mcadams, Christoph Engel

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No abstract provided.

Antibiotics Misuse And Antimicrobial Resistance Development In Agriculture: A Global Challenge, Baljit Singh, Abhijnan Bhat, Kamna Ravi

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No abstract provided.

Arsenic Contamination Needs Serious Attention: An Opinion And Global Scenario, Abhijnan Bhat, Kamna Ravi, Furong Tian, Singh Baljit

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Arsenic (As) contamination is a serious global concern, polluting our natural resources, including water and soil, and posing a danger to the environment and public health. Arsenic is present in the groundwater of several countries and this contaminated water is used for irrigation, drinking, and food preparation, which poses the greatest threat to public health. Nearly 106 countries are affected by groundwater arsenic contamination and an estimated 230 million individuals worldwide are exposed to its adverse health effects, including increased cancer risks, associated cardiovascular disease and diabetes, skin lesions, neurological effects, kidney damage, and foetal or cognitive-development-related complications. Arsenic is …

Eskape: Navigating The Global Battlefield For Antimicrobial Resistance And Defense In Hospitals, Kamna Ravi, Baljit Singh

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The current healthcare environment is at risk due to the facilitated transmission and empowerment of the ESKAPE pathogens, comprising of Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter species. These pathogens have posed significant challenges to global public health and the threat has only amplified over time. These multidrug-resistant bacteria have become adept at escaping the effects of conventional antibiotics utilized, leading to severe healthcare-associated infections and compromising immunocompromised patient outcomes to a greater extent. The impact of ESKAPE pathogens is evident in the rapidly rising rates of treatment failures, increased mortality, and elevated healthcare costs. …

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. …

Exploring The Influence Of Human System Interfaces: Introducing Support Tools And An Experimental Study, Chidera W. Amazu, Joseph Mietkiewicz, Ammar N. Abbas, Houda Briwa, Andres Alonso-Perez, Gabriele Baldissone, Davide Fissore, Micaela Demichela, Maria Chiara Leva

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Situational awareness and decision support tools such as procedures and alarm systems are vital for effective interaction among control room operators, especially in safety-critical situations. In safety-critical environments such as process plants, there remains a gap in evaluating specific tools during actual operations, or ”work-as-done.” Additionally, the underlying factors that might impact operators' cognitive states and performance concerning safety have not been thoroughly explored. The need for such an evaluation is further bolstered by current interaction configurations where operators are more passive than active, thus reducing their cognitive performance. Therefore, this experimental study addresses the highlighted evaluation gap by introducing …

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 …

Experiment Data: Human-In-The-Loop Decision Support In Process Control Rooms, Chidera Winifred Amazu, Joseph Mietkiewicz, Ammar N. Abbas, Houda Briwa, Andres Alonso-Perez, Gabriele Baldissone, Micaela Demichela, Davide Fissore, Anders L. Madsen, Maria Chiara Leva

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These datasets contain measures from multi-modal data sources. They include objective and subjective measures commonly used to determine cognitive states of workload, situational awareness, stress, and fatigue using data collection tools such as NASA-TLX, SART, eye tracking, EEG, Health Monitoring Watch, a survey to assess training, and a think-aloud situational awareness assessment following the SPAM methodology. Also, data from a simulation formaldehyde production plant based on the interaction of the participants in a controlled control room experimental setting is included. The interaction with the plant is based on a human-in-the-loop alarm handling and process control task flow, which includes Monitoring, …

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 …

Attributing Ai Authorship: Towards A System Of Icons For Legal And Ethical Disclosure, Joseph J. Avery, Patricia S. Abril, Alissa Del Riego

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Over the past year, the pervasive role of large language models (LLMs) and artificial intelligence (Al) in text generation has precipitated concerns about ethical usage, authorship, and transparent attribution. This has been true in legal practice, academia, and the corporate world, as well as in countless other arenas. In this Article, we identify the gap that has opened between those demanding proper disclosure (we should know when and to what extent Al is an author) and those struggling to respond to these demands. Part of the problem is that there is no system in place, no lingua franca, no set …

Systematic Regulation Of Artificial Intelligence, Yonathan Arbel, Matthew Tokson, Albert Lin

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Today's artificial intelligence ("AI'') systems exhibit increasing capabilities across a remarkable variety of tasks. The rapid growth in AI ability has caught the attention of policymakers, parliaments, and the United Nations. These entities are increasingly looking towards regulating AI, not only in its particular applications, but as a technology. Yet legal scholarship has thus far offered little to this new and critical regulatory conversation, which has instead been dominated by computer scientists and technologists.

This Article begins the project of assessing AI 's broader risks and law 's role in addressing them. These risks are wide ranging-they span harms to …

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 …

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 …

Use Of Artificial Intelligence In Drug Development, Louise C. Druedahl, Nicholson Price, Timo Minssen, Dipl Jur, Ameet Sarpatwari

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Considerable focus has been placed on the health care applications of artificial intelligence (AI). Already, machine learning, a subset of AI that involves “the use of data and algorithms to imitate the way that humans learn” has been used to predict diseases, while AI-powered smartphone apps have been developed to promote mental health and weight loss. Owing in part to such successes, the market for AI in health care has been forecasted to increase more than 1000% between 2022 and 2029, from $13.8 billion to $164.1 billion. One area of substantial promise is drug development, which is poised to benefit …

Circular Material Usage Strategies And Principles In Buildings: A Review, Paulo Santos, Génesis Camila Cervantes, Alicia Zaragoza-Benzal, Aimee Byrne, Ferhat Karaca, Daniel Ferrández, Adriana Salles, Luís Bragança

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Building construction accounts for a significant proportion of global greenhouse gas emissions, raw material extraction, and waste production. Applying circular economy (CE) principles in the building construction industry would considerably reduce these values. However, uptake by the industry is relatively slow, which is largely attributed to sectoral barriers, including limitations in knowledge and experience. This review paper aims to assess and contribute to diminishing these obstacles by offering a comprehensive review of circular material usage principles and strategies within the construction sector. Opportunities and facilitators of change are also presented, including innovations and emerging technologies in recycling, digitization, robotic systems, …

Chickpea Seed Endophyte Enterobacter Sp. Mediated Yield And Nutritional Enrichment Of Chickpea For Improving Human And Livestock Health, Arpan Mukherjee, Anand Kumar Gaurav, Gowardhan Kumar Chouhan, Saurabh Singh, Ankita Sarkar, Saman Abeysinghe, Jay Prakash Verma

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Chickpeas (Cicer arietinum L.) are used as a good source of proteins and energy in the diets of various organisms including humans and animals. Chickpea straws can serve as an alternative option for forage for different ruminants. This research mainly focussed on screening the effects of adding beneficial chickpea seed endophytes on increasing the nutritional properties of the different edible parts of chickpea plants. Two efficient chickpea seed endophytes (Enterobacter sp. strain BHUJPCS-2 and BHUJPCS-8) were selected and applied to the chickpea seeds before sowing in the experiment conducted on clay pots. Chickpea seeds treated with both endophytes showed improved …

Platform Unions, Charlotte Garden

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How should we regulate social media platforms to prevent harmful treatment of users? Regulators, advocates, and scholars have grappled with this problem for years. Many proposed solutions, ranging from improving privacy disclosures, to promoting competition between platforms, to requiring platforms to pay users for their data, are at best incomplete.

This Article begins from the premise that platform problems are collective problems and proposes a collective solution: empowering users to organize platform unions. Much like labor unions give employees a say in in their working conditions even when they lack individual bargaining power, platform unions would facilitate collective bargaining over …

Metals Derivatives Markets And The Energy Transition, James W. Coleman, Colleen M. Baker

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Despite their escalating importance, thus far, there has been minimal legal scholarship on metals derivatives markets. Given the key role of these markets in the transition to a clean energy future, increased focus on them is imperative.

Hence, it is not surprising that the agendas for the last four meetings of the Commodity Futures Trading Commission’s Energy and Environmental Markets Advisory Committee each dedicated a significant portion of the meeting to metals derivatives markets and their role in the transition to a clean energy future.

Fundamentally, the United States and the world are moving from their long-term dependence on the …

Introduction: Revolutionizing Neuroimaging Research With Highly Portable Mri: Confronting Ethical And Legal Challenges, Francis X. Shen, Frances Lawrenz, Susan M. Wolf

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No abstract provided.

Ethical, Legal, And Policy Challenges In Field-Based Neuroimaging Research Using Emerging Portable Mri Technologies: Guidance For Investigators And For Oversight, Francis X. Shen, Susan M. Wolf, Francez Lawrenz, Donnella S. Comeau, Kafui Dzirasa, Barbara J. Evans, Damien Fair, Martha J. Farah, S. Duke Han, Judy Illes, Jonathan D. Jackson, Eran Klein, Karen S. Rommelfanger, Matthew S. Rosen, Efraín Torres, Paul Tuite, J. Thomas Vaughan, Michael Garwood

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Researchers are rapidly developing and deploying highly portable MRI technology to conduct field-based research. The new technology will widen access to include new investigators in remote and unconventional settings and will facilitate greater inclusion of rural, economically disadvantaged, and historically underrepresented populations. To address the ethical, legal, and societal issues raised by highly accessible and portable MRI, an interdisciplinary Working Group (WG) engaged in a multi-year structured process of analysis and consensus building, informed by empirical research on the perspectives of experts and the general public. This article presents the WG’s consensus recommendations. These recommendations address technology quality control, design …

Scientists' Perspectives On Ethical Issues In Research With Emerging Portable Neuroimaging Technology: The Need For Guidance On Ethical, Legal, And Societal Implications (Elsi), Frances Daniels, Efrain Torres, Frances Lawrenz, Susan M. Wolf, Francis X. Shen

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Deployment of new, more portable, and less costly neuroimaging technologies such as portable magnetoencephalography, electroencephalography, positron emission tomography, functional near-infrared spectroscopy, high-density diffuse optical tomography, and magnetic resonance imaging is advancing rapidly. Given this trajectory toward increasing use of neuroimaging outside the hospital, we sought to identify ethical, legal, and societal implications (ELSI) of these new technologies by understanding the perspectives of those scientists and engineers developing and implementing portable neuroimaging technologies in the United States, Europe, and Asia. Based on a literature review, we identified and contacted 19 potential interviewees and then conducted 11 semi-structured interviews in English by …

Conducting Research With Highly Portable Mri In Community Settings: A Practical Guide To Navigating Ethical Issues And Elsi Checklist, Francis X. Shen, Susan Wolf, Frances Lawrenz, Donnella S. Comeau, Barbara J. Evans, Damien Fair, Martha J. Farah, Michael Garwood, S. Duke Han, July Illes, Jonathan D. Jackson, Eran Klein, Matthew S. Rosen, Efraín Torres, Paul Tuite, J. Thomas Vaughan

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Highly portable and accessible MRI technology will allow researchers to conduct field-based MRI research in community settings. Previous guidance for researchers working with fixed MRI does not address the novel ethical, legal, and societal issues (ELSI) of portable MRI (pMRI). Our interdisciplinary Working Group (WG) previously identified 15 core ELSI challenges associated with pMRI research and recommended solutions. In this article, we distill those detailed recommendations into a Portable MRI Research ELSI Checklist that offers practical operational guidance for researchers contemplating using this technology.

Microbial And Enzymatic Biodegradation Of Plastic Waste For A Circular Economy, Muhammad Aitzaz Akram, Rangasamy Savitha, Gemma K. Kinsella, Kieran Nolan, Barry J. Ryan, Gary T. Henehan

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Plastics play a crucial role in modern life, but their accumulation poses a serious threat to both the environment and human health. Due to their effects on the terrestrial and aquatic environment, it is essential to develop sustainable approaches to dispose of waste plastics. Traditional methods of plastic disposal, such as burning and landfilling, are problematic since they produce hazardous byproducts. Biodegradation is a potentially effective, eco-friendly approach which uses microbial consortia or isolated enzymes to break down plastic waste. Enzymes interact with plastic surfaces and hydrolyse the large polymer chains into smaller units. These byproducts can then be utilised …

The Role Of Interpersonal Conflict As A Cause Of Work-Related Stress In Construction Managers In Ireland, Patrick J. Bruce, Victor Hrymak, Carol M. Bruce Dr, Joseph Byrne

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Construction is a project-driven industry that places a high premium on product delivery on time, within budget and to required standards. Modern construction projects have become more complex in nature, the complex relational and lengthy process of designing and building makes construction a process in which conflict is virtually ensured (Jaffar et al., 2011; Wang et al., 2023). These characteristics of the industry contribute to workplace stress. Therefore, it is not surprising that research has confirmed a strong presence of workplace stress within the industry, (Lingard and Francis, 2004; Vaux and Dority, 2020). Many construction managers experience excessive levels of …

Generating A Template For An Educational Software Development Methodology For Novice Computing Undergraduates: An Integrative Review, Catherine Higgins, Ciaran O'Leary, Claire Mcavinia, Barry J. Ryan

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Aim/Purpose The teaching of appropriate problem-solving techniques to novice learners in undergraduate software development education is often poorly defined when compared to the delivery of programming techniques. Given the global need for qualified designers of information technology, the purpose of this research is to produce a foundational template for an educational software development methodology grounded in the established literature. This template can be used by third-level educators and researchers to develop robust educational method-ologies to cultivate structured problem solving and software development habits in their students while systematically teaching the intricacies of software crea-tion. Background While software development methodologies are …

Biosynthesis, Classification, Properties, And Applications Of Weissella Bacteriocins, Jahnavi Kumari Singh, Palanisamy Bruntha Devi, G. Bhanuprakash Reddy, Amit K. Jaiswal, Digambar Kavitake, Prathapkumar Halady Shetty

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This review aims to comprehensively chronicle the biosynthesis, classification, properties, and applications of bacteriocins produced by Weissella genus strains, particularly emphasizing their potential benefits in food preservation, human health, and animal productivity. Lactic Acid Bacteria (LAB) are a class of microorganisms well-known for their beneficial role in food fermentation, probiotics, and human health. A notable property of LAB is that they can synthesize antimicrobial peptides known as bacteriocins that exhibit antimicrobial action against both closely related and other bacteria as well. Bacteriocins produced by Weissella spp. are known to exhibit antimicrobial activity against several pathogenic bacteria including food spoilage species, …

Influence Of Deep Eutectic Solvents On Redox Biocatalysis Involving Alcohol Dehydrogenases, Ebin K. Baby, Savitha Rangasamy, Gemma Kinsella, Kieran Nolan, Barry J. Ryan, Gary Henehan

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Redox biocatalysis plays an increasingly important role in modern organic synthesis. The recent integration of novel media such as deep eutectic solvents (DESs) has significantly impacted this field of chemical biology. Alcohol dehydrogenases (ADHs) are important biocatalysts where their unique specificity is used for enantioselective synthesis. This review explores aspects of redox biocatalysis in the presence of DES both with whole cells and with isolated ADHs. In both cases, the presence of DES has a significant influence on the outcome of reactions albeit via different mechanisms. For whole cells, DES was shown to be a useful tool to direct product …

Exploring Safety Of Machineries And Training: An Overview Of Current Literature Applied To Manufacturing Environments, Maria Elena Del Giudice, Mahnaz Sharafkhani, Mario Di Nardo, Teresa Murino, Maria Chiara Leva

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A machine is described as an assembly that has a drive system installed or is planned to have a drive system installed and that is constituted of linked elements or components, at least one of which moves, that are connected for a particular application (ISO12100). Different types of risks are present in machines, and exposure to them can cause harm or even death. When risk has been adequately reduced, machinery safety considers a machine's ability to complete its intended duty throughout its life cycle. A literature review was carried out using “safety of machinery” as a keyword, which produced an …

Improving The Barrier And Mechanical Properties Of Paper Used For Packing Applications With Renewable Hydrophobic Coatings Derived From Camelina Oil, Muhammad Arshad, Shiv Shankar, Amar K. Mohanty, Jim Todd, Rachel Riddle, Rene Van Acker, Graham W. Taylor, Manjusri Misra

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This study looked at using modified camelina oil to develop sustainable coatings that could replace those derived from petroleum-based materials for use in packaging and other industrial sectors. Solvent-free synthesis of maleic anhydride grafted camelina oil (MCO) was carried out at two different temperatures (200 and 230 °C) to obtain sustainable hydrophobic coating materials for paper substrates. Maleic anhydride grafting of camelina oil was confirmed with attenuated total reflectance-Fourier transform infrared and NMR spectroscopic techniques, and up to 16% grafting of maleic anhydride was achieved, as determined by the titration method. MCO, obtained at different reaction temperatures, was coated onto …