Digital Commons Network^™

Errors In Converting Principles To Protocols: Where The Bioethics Of Us Covid‐19 Vaccine Allocation Went Wrong, Govind Persad, Govind C. Persad, Monica E. Peek

Publications

For much of 2021, allocating the scarce supply of Covid-19 vaccines was the world's most pressing bioethical challenge, and similar challenges may recur for novel therapies and future vaccines. In the United States, the Centers for Disease Control and Prevention's Advisory Committee on Immunization Practices (ACIP) identified three fundamental ethical principles to guide the process: maximize benefits, promote justice, and mitigate health inequities. We argue that critical components of the recommended protocol were internally inconsistent with these principles. Specifically, the ACIP violated its principles by recommending overly broad health care worker priority in phase 1a, using being at least seventy-five …

Hunting And Gathering On The Legal Information Savannah, Susan Nevelow Mart, Adam Litzler, David Gunderman

Publications

This article asks, what is it like for novice researchers to research real-world legal problems using four platforms: Bloomberg Law, Fastcase, Lexis Advance, and Westlaw? The study findings produced some surprises, as well as some clear implications for teaching legal research.

Realizing Diversity, Sustainability, And Stakeholder Capitalism, Peter H. Huang

Publications

Stakeholder capitalism conceives of capitalism with companies maximizing their long-term value, while considering in addition to the interests of their shareholders, also the interests of all their other stakeholders. Examples of such additional stakeholders include customers, employees, communities, creditors, competitors, society at large, and our planet. America today does not have stakeholder capitalism. Instead, America presently has shareholder capitalism, in which publicly held corporations only maximize their stock value to shareholders.

This Essay analyzes proposals for the United States Securities Exchange Commission to require that all reporting companies make periodic mandatory Environmental, Social, and Governance (ESG) disclosures of comparable, standardized, …

Roundtable Two: Environmental Law Education: New Techniques In The Classroom And Beyond, Lincoln Davies, Karrigan Bork, Sarah Krakoff

Publications

No abstract provided.

Blind Justice: Algorithms And Neutrality In The Case Of Redistricting, Douglas M. Spencer, Moon Duchin

Publications

In several areas of law and public policy, there have been longstanding dreams that computers can secure decisionmaking that takes only some things into account, while remaining demonstrably neutral to other factors. In 2022, the U.S. Supreme Court will consider mandating race-neutrality in multiple domains, notably in college admissions and redistricting. In this piece, we clarify the real and imagined uses of computers in redistricting, considering their application for optimization approaches and, more recently, for representative sampling. The current pitch to the Court for a race-blind Voting Rights Act is discussed at length.

Is A Framework Of Support Enough? Undergraduate Research For Online Stem Students, Emily Faulconer, Brent Terwilliger, Robert Deters, Kelly George

Publications

While undergraduate research is known as a high-impact practice, little research has been conducted for the online educational setting. Early research suggests that online students and faculty have similar interest in undergraduate research as their residential (face-to-face) counterparts. This point of view presents the framework of support developed for fully online students distributed globally and shares some of the challenges faced in online undergraduate research, including the issue of low recruitment (despite stated interest) that could be exacerbated by the COVID-19 pandemic.

Interpretable Design Of Reservoir Computing Networks Using Realization Theory, Wei Miao, Vignesh Narayanan, Jr-Shin Li

Publications

The reservoir computing networks (RCNs) have been successfully employed as a tool in learning and complex decision-making tasks. Despite their efficiency and low training cost, practical applications of RCNs rely heavily on empirical design. In this article, we develop an algorithm to design RCNs using the realization theory of linear dynamical systems. In particular, we introduce the notion of α-stable realization and provide an efficient approach to prune the size of a linear RCN without deteriorating the training accuracy. Furthermore, we derive a necessary and sufficient condition on the irreducibility of the number of hidden nodes in linear RCNs based …

A Risk-Averse Mechanism For Suicidality Assessment On Social Media, Ramit Sawhney, Atula Tejaswi Neerkaje, Manas Gaur

Publications

Recent studies have shown that social media has increasingly become a platform for users to express suicidal thoughts outside traditional clinical settings. With advances in Natural Language Processing strategies, it is now possible to design automated systems to assess suicide risk. However, such systems may generate uncertain predictions, leading to severe consequences. We hence reformulate suicide risk assessment as a selective prioritized prediction problem over the Columbia Suicide Severity Risk Scale (C-SSRS). We propose SASI, a risk-averse and self-aware transformer-based hierarchical attention classifier, augmented to refrain from making uncertain predictions. We show that SASI is able to refrain from 83% …

The Lognometer: A New Normalized And Computerized Device For Assessing The Neurodevelopment Of Fine Motor Control In Children, Christian O'Reilly, Rejean Plamondon, Nadir Faci

Publications

Motor skills are fundamental for the development of children. Neurodevelopmental tests currently used by professionals for measuring motor control maturity exhibit several limitations. To address some of these, we have designed the Lognometer, a tablet-based device that can run computerized neuromotor tests. To normalize this tool against a representative population, we collected handwritten triangles from 780 children. We used the Sigma-Lognormal model and a prototype-based parameter estimation algorithm to analyze these movements. To ensure clinical acceptance, we developed an explainable solution relying on statistical regression. We evaluated how well the proposed lognormal decomposition captures the motor control maturation between 6 …

Peer Learning In Introductory Engineering, Kimberly Luthi, Mohua Kar, Lisa Macon

Publications

Observed characteristics of non-traditional student populations: low retention, low grades, low participation, low confidence in mathematical and problem-solving abilities. Research question: Does participation in peer-led team-learning (PLTL) activities support underrepresented and female students’ performance in introductory engineering courses and retention in engineering pathways?

Cool Thermal Energy Storage: Water And Ice To Alternative Phase Change Materials, Sandra K. S. Boetcher

Publications

Cool thermal energy storage has a long history dating back to ancient times with modern developments beginning in the mid-nineteenth century where blocks of ice were cut from frozen lakes for cooling applications. Today, the prevalent mode of thermal energy storage is the utilization of ice tanks in commercial buildings for peak shaving and load shifting. In this chapter, a summary of different types of water/ice thermal energy storage systems is provided; an overview of alternative phase change materials for use in cool thermal energy storage is given; and alternative phase change material thermal energy systems, their implementation, challenges, and …

Effects Of Cognitive Loading On Pilots And Air Traffic Controller Performance: Implications For Neural Dynamics And Cognitive Flow, Sam J. Holley, Mark D. Miller

Publications

The digitized environment in aviation operations has seen marked growth and expansion as new technologies arrive and are implemented. The flight deck and air traffic control functions are two areas where growth is particularly robust. Previous work has identified the effects of compounded cognitive loading and SHELL interfaces in these work environments, and the potential consequences when relief or collaborative resource management is not employed effectively. This paper examines the relationship of cognitive loading in the context of cognitive flow to identify potential areas where neural metrics might aid in a better understanding of the dynamics to determine thresholds of …

The Effects Of 5g Implementation On The Aspects Of Sustainability In The Air Transportation Industry, Leila Halawi, Douglas Ashlock, Lucy Elias, Hannah Puchkoris, Anthony Williams

Publications

The concern of 5G C-band frequency interference with global aviation operations was founded on the criticality of a single-point failure with the radio altimeter operations. The research in this report intends to highlight the severe impact of 5G C-band implementation on the air transportation industry. It focuses on one airport in the United States, Seattle-Tacoma International Airport (SEA), one of the busiest airports in the country, flying both domestically and internationally. The results show that Boeing aircraft are affected more than Airbus for 5G interference. Further, the findings show that the United States should align its 5G implementation with other …

Artificial Intelligence (Ai): The New Look Of Customer Service In A Cybersecurity World, Sharon L. Burton

Publications

Cybersecurity leaders are not adequately developed to guide the re-engineering of quality customer service (QCS) workflows, designed with automation and AI, that interrelate with people through customers’ perceptions. Realizing re-engineering processes should be a team effort with well-versed leadership and stakeholders guiding the successful design through a follow-up process. Leaders must shape compelling and straightforward needs to learn and teach employees and chat boxes indispensable customer service skills demonstrating patience, self-discipline, flexibility, and resourcefulness in communication with irritated customers or difficult circumstances. Whether the analysis, design, development, and implementation struggles are vacuums in cybersecurity knowledge, skill, and abilities or a …

Exo-Sir: An Epidemiological Model To Analyze The Impact Of Exogenous Spread Of Infection, Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Sakthi Balan Muthiah, Amit Sheth

Publications

Epidemics like Covid-19 and Ebola have impacted people's lives significantly. The impact of mobility of people across the countries or states in the spread of epidemics has been significant. The spread of disease due to factors local to the population under consideration is termed the endogenous spread. The spread due to external factors like migration, mobility, etc. is called the exogenous spread. In this paper, we introduce the Exo-SIR model, an extension of the popular SIR model and a few variants of the model. The novelty in our model is that it captures both the exogenous and endogenous spread of …

Process Knowledge-Infused Learning For Suicidality Assessment On Social Media, Kaushik Roy, Manas Gaur, Qi Zhang, Amit Sheth

Publications

Improving the performance and natural language explanations of deep learning algorithms is a priority for adoption by humans in the real world. In several domains, such as healthcare, such technology has significant potential to reduce the burden on humans by providing quality assistance at scale. However, current methods rely on the traditional pipeline of predicting labels from data, thus completely ignoring the process and guidelines used to obtain the labels. Furthermore, post hoc explanations on the data to label prediction using explainable AI (XAI) models, while satisfactory to computer scientists, leave much to be desired to the end users due …

Comparing Symbolic And Connectionist Algorithms For Correlating The Age Of Healthy Children With Sigma-Lognormal Neuromuscular Parameters, Zigeng Zhang, Christian O'Reilly, Rejean Plamondon

Publications

It is important to accurately evaluate the motor control maturity to help physicians diagnose delayed or abnormal motor development in children. Traditionally, it has been challenging to design assessment methods that are practical and accurate at the same time. This study aims to develop an effective algorithm to predict motor control maturity based on the Kinematic Theory of rapid human movements. We used handwritten pen strokes made on an electronic tablet by 513 children (5.5 to 13 years of age). We considered two types of movements: a single stroke and a triangle drawing test. For the analysis, Sigma-Lognormal parameters were …

Ksat: Knowledge-Infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts, Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth

Publications

Domain-specific language understanding requires integrating multiple pieces of relevant contextual information. For example, we see both suicide and depression related behavior (multiple contexts) in the text “I have a gun and feel pretty bad about my life, and it wouldn’t be the worst thing if I didn’t wake up tomorrow”. Domain specificity in self-attention architectures is handled by fine-tuning on excerpts from relevant domain specific resources (datasets and external knowledge - medical textbook chapters on mental health diagnosis related to suicide and depression). We propose a modified self-attention architecture Knowledge infused Self Attention Transformer (KSAT) that achieves the integration of …

Wise Causal Models: Wisdom Infused Semantics Enhanced Causal Models - A Study In Suicidality Diagnosis, Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Sanjay Chandrasekar, Amit Sheth

Publications

The COVID-19 Pandemic has highlighted the gap between the number of mental health care seekers and care providers. Netizens have taken to internet-based platforms such as Reddit to express their experiences. Mental illness diagnosis processes have clinically accepted causal interpretations and semantics. Curiously, mental illness diagnosis accuracy is low relative to similar well-studied illnesses. Motivated by this discrepancy, we propose Wisdom Infused Semantics Enhanced (WISE) causal models, inspired by the wisdom of the crowd idea that learns from a collective agreement among causal models and their semantics for mental illness diagnoses. We use suicidality diagnosis task descriptions, datasets, and baseline …

Knowledge-Infused Reinforcement Learning, Kaushik Roy, Manas Gaur, Qi Zhang, Amit Sheth

Publications

Virtual health agents (VHAs) have received considerable attention, but the early focus has been on collecting data, helping patients follow generic health guidelines, and providing reminders for clinical appointments. While presenting the collected data and frequency of visits to the clinician is useful, further context and personalization are needed for a VHA to interpret and understand what the data means in clinical terms. This has made their use in managing health limited. Such understanding enables patient empowerment and self-appraisal – i.e., aiding the patient in interpreting the data to understand the changes in the patient’s health conditions, and self-management – …

Introduction To Analytics And Data Science, Leila Halawi, Amal Clarke, Kelly George

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Learning Objectives

• Identify the different data types and measurements

• Identify the need for data and data sources

• Explain data partitioning and honest assessment

• Identify the necessity of data preparation and curation

• Identify the data preparation process

• Explore SAS VIYA platform and import data

Leveraging Interdisciplinary Expertise In Developing An Alternative Mathematics Pathway, Beverly Wood, Debra T. Bourdeau

Publications

How many instructors does it take for amazing course design? Or perhaps we should begin with “A mathematician, humanist, communication expert and statistician walk into a bar.” This unlikely team has co-developed a pair of courses, Learning to Reason I: Art and Quotient and Learning to Reason II: Commerce and Flux, that deeply investigate quantitative reasoning from multiple perspectives. Blending elements of rhetoric, logic, and history with mathematical computation, representation, and application breaks through the perceived barriers between the unyielding, obstinate world of mathematics and the ambiguous, equivocal world of the humanities. Developing the courses as an interdisciplinary team of …

Remotely Piloted Aircraft C2 Latency During Air-To- Air Combat, David L. Thirtyacre

Publications

Remotely piloted aircraft command-and-control latency could play a significant role during beyond-line-of-sight engagements in future conflicts. As the Air Force prepares to use these systems and artificial intelligence in within-visual-range combat, it must understand the effects of latency, or missing sensor data, during a dogfight. Research indicates technology-based latency influences the engagement outcome geometry similar to a slow decision-making cycle foundational to the understanding of Boyd’s Observe, Orient, Decide, Act (OODA) Loop. This study adds depth to the theory illustrating technology-induced latency has a similar effect as slow human decision making resulting in lower performance. Therefore, when combined with the …

Medical Residency Milestones: Competencies In Informatics, Library, And Evidence-Based Practice, Deborah J. Rhue, Jonathan Eldredge

Publications

The Accreditation Council for Graduate Medical Education (ACGME) sets standards known as Milestones and monitors the progress of medical residents as they advance toward medical practice in their specialties. Health sciences librarians need to train medical residents in certain competency areas to help reach the Milestone standards. This project analyzed the Milestones related to informatics, library, and Evidence Based Practice (EBP) skills to identify core and optional library-related curricular elements that can be integrated into different medical specialty residencies.

The authors collected key competency documents from ACGME and from those specialties representing 2% or more of the residencies in the …

Experimental Study Of Wall Bounded Harbor Seal Whisker Inspired Pin Geometries, Anish Prasad, Mark Ricklick

Publications

Conventional cylindrical/elliptical pins are one of the most widely used geometries in convection cooling systems and are used in the internal cooling of gas turbine blades and other applications, as they promote better heat transfer at the expense of large pressure losses and unsteadiness in the flow. The need to reduce pressure drop and maintain the heat transfer rates are a pressing requirement for a variety of industries to improve their cooling efficiency. One such prominent field of research is conducted in optimizing the design of pin geometries. In this study, a harbor seal whisker inspired geometry is being studied …

Effect Of Freestream Noise On Hypersonic Crossflow-Induced Boundary-Layer Transition, Andrew Bustard, Thomas J. Juliano, Harrison B. Yates, Mark Noftz, Joseph Jewell

Publications

Between the windward and leeward rays, boundary-layer transition on cones at angle of attack in hypersonic flow is dominated by the crossflow instability [1, 2], wherein stationary and/or traveling crossflow vortices develop and can breakdown into turbulence [3]. Stationary crossflow modes are caused by surface roughness or any other steady forcing and produce disturbances that are fixed in place on the surface [3–6]. Stationary vortices create a generalized inflection point in the velocity profile that is inviscidly unstable [7]. This distorted mean flow develops secondary instabilities, whose growth and breakdown is one path to turbulence [8–10]. Traveling crossflow modes are …

Fair Allocation Of Scarce Therapies For Coronavirus Disease 2019 (Covid-19), Govind Persad, Monica E. Peek, Seema K. Shah

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The US Food and Drug Administration (FDA) has issued emergency use authorizations (EUAs) for monoclonal antibodies (mAbs) for nonhospitalized patients with mild or moderate coronavirus disease 2019 (COVID-19) disease and for individuals exposed to COVID-19 as postexposure prophylaxis. EUAs for oral antiviral drugs have also been issued. Due to increased demand because of the Delta variant, the federal government resumed control over the supply and asked states to ration doses. As future variants (e.g., the Omicron variant) emerge, further rationing may be required. We identify relevant ethical principles (i.e., benefiting people and preventing harm, equal concern, and mitigating health inequities) …

Book Review, Justin Murray

Publications

No abstract provided.

Quantum Technology And Human Rights: An Agenda For Collaboration, Vivek Krishnamurthy

Publications

Quantum technologies have the potential to transform many aspects of our lives as they come into wider use, but how do we ensure that these technologies promote human rights instead of harming them? This article will draw lessons from our collective experience in managing the human rights impacts of internet technologies to help the quantum science and technology community build and develop technologies that respect and promote the fundamental rights of all people.

Manipulation And The First Amendment, Helen Norton

Publications

No abstract provided.