Digital Commons Network^™

Internalizations Of Decorated Bicategories Via Π₂-Indexings, Juan Orendain

Faculty Scholarship

We treat the problem of lifting bicategories into double categories through categories of vertical morphisms. We consider structures on decorated 2-categories allowing us to formally implement arguments of sliding certain squares along vertical subdivisions in double categories. We call these structures π₂ indexings. We present a construction associating, to every π₂ indexing on a decorated 2-category, a length 1 double internalization.

The Effect Of Early Postnatal Auditory Stimulation On Outcomes In Preterm Infants, Juliann M. Di Fiore, Gloria Liu, Kenneth A. Loparo, Cynthia F. Bearer

Faculty Scholarship

Abstract: Preterm infants are deprived of in utero sensory stimulation during the third trimester, an important period of central nervous system development. As a result, maturational trajectories are often reduced in infants born preterm. One such system affected is the brain including the auditory and respiratory control pathways. During normal pregnancy the intrauterine environment attenuates external auditory stimuli while exposing the fetus to filtered maternal voice, intra-abdominal sounds, and external stimuli. In contrast, during the third trimester of development, preterm infants are exposed to a vastly different soundscape including non-attenuated auditory sounds and a lack of womb related stimuli, both …

Supernatural Attributions For Extraordinary Events: Examining Cognitive And Contextual Predictors, Joshua A. Wilt, Julie J. Exline, Nick Stauner

Faculty Scholarship

Why do people make supernatural attributions (SA) for events? This article focused on five possible predictors: stressfulness, unusual events, religiousness, seeing a supernatural explanation as meaningful, and seeing supernatural entities as powerful. We also predicted that people would be more likely to adopt supernatural explanations seen as highly accessible, motivating, and plausible. We focused primarily on SA in general and secondarily on specific entities. We tested preregistered hypotheses using survey data in two samples of undergraduates: one reporting life-changing events (N = 594) and another reporting on an event with a supernatural air, or supernaturally perceived events (N = 475). …

Mri Measurement Of Cerebral Perfusion In Severe Congenital Heart Disease: Just The First Step, Kevin B. Kilgallon, Ira M. Cheifetz

Faculty Scholarship

Two questions on the mind of many parents of children with complex congenital heart disease (CHD) are: Will my child survive? And, how will their life be affected? As diagnostic procedures, along with medical and surgical treatments, for these infants have improved over the recent decades, more and more of these children are surviving into adolescence and adulthood. Despite these advances in care, children with complex CHD are at higher risk of neurodevelopmental disability (NDD) and decreased quality of life (QOL) compared to their peers without CHD.1,2

Shea Position Statement On Pandemic Preparedness For Policymakers: Building A Strong And Resilient Healthcare Workforce, Robin L.P. Jump

Faculty Scholarship

Throughout the COVID-19 pandemic, many areas in the United States experienced healthcare personnel (HCP) shortages tied to a variety of factors. Infection prevention programs, in particular, faced increasing workload demands with little opportunity to delegate tasks to others without specific infectious diseases or infection control expertise. Shortages of clinicians providing inpatient care to critically ill patients during the early phase of the pandemic were multifactorial, largely attributed to increasing demands on hospitals to provide care to patients hospitalized with COVID-19 and furloughs.¹ HCP shortages and challenges during later surges, including the Omicron variant-associated surges, were largely attributed to HCP …

Shea Position Statement On Pandemic Preparedness For Policymakers: Introduction And Overview, Robin L.P. Jump

Faculty Scholarship

Throughout history, pandemics and their aftereffects have spurred society to make substantial improvements in healthcare. After the Black Death in 14th century Europe, changes were made to elevate standards of care and nutrition that resulted in improved life expectancy.1 The 1918 influenza pandemic spurred a movement that emphasized public health surveillance and detection of future outbreaks and eventually led to the creation of the World Health Organization Global Influenza Surveillance Network.2 In the present, the COVID-19 pandemic exposed many of the pre-existing problems within the US healthcare system, which included (1) a lack of capacity to manage a large influx …

School Nutrition Stakeholders Find Utility In Mealsim: An Agent-Based Model, Melissa Pflugh Prescott

Faculty Scholarship

Objective: To obtain feedback from school nutrition stakeholders on an agent-based model simulating school lunch to inform model refinement and future applications. Design: Qualitative study using online discussion groups. Setting: School nutrition professional stakeholders across the US. Participants: Twenty-eight school nutrition stakeholders. Phenomenon of Interest: Perceptions and applicability of MealSim for school nutrition stakeholders to help reduce food waste. Analysis: Deductive approach followed by inductive analysis of discussion group transcripts. Results: Stakeholders appreciated the customizability of the cafeteria characteristics and suggested adding additional characteristics to best represent the school meal system, such as factors relating to school staff supervision of …

Navigating The Complexities Of Ai: The Critical Role Of Interpretability And Explainability In Ensuring Transparency And Trust, Emily Barnes, James Hutson

Faculty Scholarship

The interpretability and explainability of deep neural networks (DNNs) are paramount in artificial intelligence (AI), especially when applied to high-stakes fields such as healthcare, finance, and autonomous driving. The need for this study arises from the growing integration of AI into critical areas where transparency, trust, and ethical decision-making are essential. This paper explores the impact of architectural design choices on DNN interpretability, focusing on how different architectural elements like layer types, network depth, connectivity patterns, and attention mechanisms affect model transparency. Methodologically, the study employs a comprehensive review of case studies and experimental results to analyze the balance between …

Evaluating Methods For Assessing Interpretability Of Deep Neural Networks (Dnns), Emily Barnes, James Hutson

Faculty Scholarship

The interpretability of deep neural networks (DNNs) is a critical focus in artificial intelligence (AI) and machine learning (ML), particularly as these models are increasingly deployed in high-stakes applications such as healthcare, finance, and autonomous systems. In the context of these technologies, interpretability refers to the extent to which a human can understand the cause of a decision made by a model. This article evaluates various methods for assessing the interpretability of DNNs, recognizing the significant challenges posed by their complex and opaque nature. The review encompasses both quantitative metrics and qualitative evaluations, aiming to identify effective strategies that enhance …

Navigating The Ethical Terrain Of Ai In Higher Education: Strategies For Mitigating Bias And Promoting Fairness, Emily Barnes, James Hutson

Faculty Scholarship

Artificial intelligence (AI) and machine learning (ML) are transforming higher education by enhancing personalized learning and academic support, yet they pose significant ethical challenges, particularly in terms of inherent biases. This review critically examines the integration of AI in higher education, underscoring the dual aspects of its potential to innovate educational paradigms and the essential need to address ethical implications to avoid perpetuating existing inequalities. The researchers employed a methodological approach that analyzed case studies and literature as primary data collection methods, focusing on strategies to mitigate biases through technical solutions, diverse datasets, and strict adherence to ethical guidelines. Their …

The Sources And Consequences Of Disputes Over Contractual Meaning, Randy D. Gordon

Faculty Scholarship

With some frequency, parties agree to the particular words used in a contract they sign, only to later disagree as to the meaning of those words and their legal effect. That is, they each assent to something, but that “something” is something different for each of them. In this Article, I first categorize and trace the sources of recurring points of disagreement as a matter of language and linguistics. Then, I look at the consequences of a dispute that leads a fact finder to conclude that the parties genuinely did not agree to the same thing, which is to say …

Putting The Lawyer First: Framing Well-Being In Law As An Ethical Dilemma, Aric Short

Faculty Scholarship

A disturbingly high percentage of our students continue to be unwell. In the most recent and comprehensive survey of law student well-being in 2021, almost 70% of law students responded that, in the past twelve months, they believed they needed to seek help for emotional or mental health problems. Embedded screening tools in the survey suggested that 34% of respondents were clinically depressed and 54% suffered from clinical anxiety. 44% of respondents reported being drunk in the past thirty days, 33% had engaged in binge drinking in the preceding two weeks, and 38% had smoked marijuana in the past twelve …

Breaking Down Siloes And Building Up Students: The Transformational Possibilities Of Professional Identity Formation, Lindsey P. Gustafson, Aric K. Short, Robin Thorner

Faculty Scholarship

Under the ABA’s sequenced approach to implementation of Standard 303(b)(3), schools should now have developed plans for providing opportunities for professional identity formation and should be implementing them. These plans must provide students with an “intentional exploration of the values, guiding principles, and well-being practices considered foundational to successful legal practice.” In addition, these plans should provide for frequent opportunities for development, “during each year of law school and in a variety of courses and co-curricular and professional development activities.”

Because Standard 303(b)(3) is necessarily tied to the unique character, existing
structures, and available resources of a law school, each …

Strategic Integration Of Ai In Higher Education And Industry: The Ai8-Point Model, Emily Barnes, James Hutson

Faculty Scholarship

The AI8-Point Model, derived from extensive experience in technology, AI, and higher education administration, addresses the critical need for cost-effective, high-impact strategies tailored to higher education. Despite the transformative potential of AI in enhancing student engagement, optimizing processes, and improving educational outcomes, institutions often struggle with practical implementation. The AI8-Point Model fills this gap by offering strategies that balance cost and impact. Visualized as a circle divided into four quadrants, the model encompasses phases of student engagement and institutional interaction: pre-enrollment beyond institutional control, pre-enrollment within institutional control, post-enrollment within institutional control, and post-enrollment beyond institutional control. Each quadrant contains …

Present Case Studies Highlighting Practical Implications Of Architectural Design Choices, Emily Barnes, James Hutson

Faculty Scholarship

The interpretability of deep neural networks (DNNs) has become a crucial focus within artificial intelligence and machine learning, particularly as these models are increasingly used in high-stakes applications such as healthcare, finance, and autonomous driving. This article explores the impact of architectural design choices on the interpretability of DNNs, emphasizing the importance of transparency, trust, and accountability in AI systems. By presenting case studies and experimental results, the article highlights how different architectural elements—such as layer types, network depth, connectivity patterns, and attention mechanisms—affect model interpretability and performance. The discussion is structured into three main sections: real-world applications, architectural trade-offs, …

Opening Dialogue, Lee C. Bollinger, Geoffrey R. Stone

Faculty Scholarship

To set the stage for the excellent essays that make up this volume on the future of free speech, let’s begin where we often do when thinking together about the First Amendment: with some basic facts and fundamental observations about the constitutional command that “Congress shall make no law ... abridging the freedom of speech, or of the press.”

Of course, in the United States, “free speech” is not only part of the constitutional Bill of Rights; it is also a cultural and social norm by which we choose to live. Several of the essays in this volume therefore take …

D-Hacking, Emily Black, Talia B. Gillis, Zara Hall

Faculty Scholarship

Recent regulatory efforts, including Executive Order 14110 and the AI Bill of Rights, have focused on mitigating discrimination in AI systems through novel and traditional application of anti-discrimination laws. While these initiatives rightly emphasize fairness testing and mitigation, we argue that they pay insufficient attention to robust bias measurement and mitigation — and that without doing so, the frameworks cannot effectively achieve the goal of reducing discrimination in deployed AI models. This oversight is particularly concerning given the instability and brittleness of current algorithmic bias mitigation and fairness optimization methods, as highlighted by growing evidence in the algorithmic fairness literature. …

Is John Stuart Mill's On Liberty Obsolete?, Vincent A. Blasi

Faculty Scholarship

In On Liberty, published in 1859, John Stuart Mill argues for the “absolute” protection of the “liberty of thought and discussion.” Ever the empiricist, he maintains that such uncompromised freedom, not for all communication or self-expression but for the subset of those activities that qualifies as thought and discussion, would generate the best overall consequences for societies such as Great Britain and the United States. The advent of digital technology has altered how thought and discussion is generated, distributed, and received in ways that might problematize some of the empirical assumptions upon which Mill's argument in On Liberty is …

A Data Integration Framework Of Additive Manufacturing Based On Fair Principles, Kristen J. Hernandez, Erika I. Barcelos, Jayvic C. Jimenez, Arafath Nihar, Pawan K. Tripathi, Roger H. French, Laura S. Bruckman

Faculty Scholarship

Abstract: Laser-powder bed fusion (L-PBF) is a popular additive manufacturing (AM) process with rich data sets coming from both in situ and ex situ sources. Data derived from multiple measurement modalities in an AM process capture unique features but often have different encoding methods; the challenge of data registration is not directly intuitive. In this work, we address the challenge of data registration between multiple modalities. Large data spaces must be organized in a machine-compatible method to maximize scientific output. FAIR (findable, accessible, interoperable, and reusable) principles are required to overcome challenges associated with data at various scales. FAIRified data …

Recent Findings On The Effectiveness Of Peer Support For Patients With Type 2 Diabetes, James J. Werner, Kelsey Ufholz, Prashant Yamajala

Faculty Scholarship

Purpose of Review: To review randomized controlled trials (RCTs) published from 2021–2023 that reported the effects of peer support interventions on outcomes in patients with type 2 diabetes (T2DM). Recent Findings: Literature searches yielded 137 articles and nine RCTs were ultimately reviewed. The reviewed trials involved in-person support groups, peer coach/mentor support, cultural peer support by community health workers, peer support during shared medical appointments (SMAs) including virtual reality-based SMAs, telehealth-facilitated programs, and telephone peer support. Most interventions combined two or more peer support strategies. Peer support was associated with significant decreases in HbA1c in 6 of the 9 reviewed …

Lay Advisor Interventions For Hypertension Outcomes: A Systematic Review, Meta-Analysis And A Re-Aim Evaluation, Sonal J. Patil, Leila Bushweller, Eno-Obong Udoh, Irina Todorov, Robert Saper, Kurt C. Stange, Shari Bolen

Faculty Scholarship

Introduction: Lay advisor interventions improve hypertension outcomes; however, the added benefits and relevant factors for their widespread implementation into health systems are unknown. We performed a systematic review to: (1) summarize the benefits of adding lay advisors to interventions on hypertension outcomes, and (2) summarize factors associated with successful implementation in health systems using the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM) framework. Methods: We systematically searched several databases, including Ovid MEDLINE, CINAHL, PsycINFO from January 1981 to May 2023. All study designs of interventions delivered solely by lay advisors for adults with hypertension were eligible. If both arms received the …

Violence Exposure And Trauma Screener For Youth (Vetsy), Daniel Joseph Flannery, Ivette Noriega, Mark Singer, Jeff Kretschmar

Faculty Scholarship

Background: Youth exposed to violence are at serious risk for physical, emotional, behavioral, and mental distress. Reliable and prompt detection is necessary to mitigate the psychological consequences of youth violence exposure and trauma. Objective: To describe the initial creation of the VETSY screener and its construct validity and potential use. Methods: From 2014 through 2022 we surveyed 20,532 at-risk youth aged 8–18 years from a diverse metropolitan community participating in the Defending Childhood Initiative (DCI). Youth completed a 17-item self-report screener. An Exploratory Factor Analysis (EFA) was used to determine the reliability and variable grouping for this brief screener. Violence …

Nodes For Modes: Nodal Honeycomb Metamaterial Enables A Soft Robot With Multimodal Locomotion, Yusuf Dikici, Kathryn Daltorio, Ozan Akkus

Faculty Scholarship

Soft-bodied animals, such as worms and snakes, use many muscles in different ways to traverse unstructured environments and inspire tools for accessing confined spaces. They demonstrate versatility of locomotion which is essential for adaptation to changing terrain conditions. However, replicating such versatility in untethered soft-bodied robots with multimodal locomotion capabilities have been challenging due to complex fabrication processes and limitations of soft body structures to accommodate hardware such as actuators, batteries and circuit boards. Here, we present MetaCrawler, a 3D printed metamaterial soft robot designed for multimodal and omnidirectional locomotion. Our design approach facilitated an easy fabrication process through a …

Improved Motor Skills In Autistic Children After Three Weeks Of Neurologic Music Therapy Via Telehealth: A Pilot Study, Nicole M. Richard Williams, Corene Hurt-Thaut, Jessica Brian, Luc Tremblay, Marija Pranjic, Jessica Teich, Melissa Tan, Julia Kowaleski, Michael Thaut

Faculty Scholarship

Background: Many autistic children experience motor skill deficits which can impact other areas of functioning, and research on therapeutic interventions for motor skills in autism is in a preliminary stage. Music-based therapies have been used extensively to address motor skills in non-autistic populations. Though a handful of studies exist on the effects of music-based therapies for movement in autistic children, none have investigated the possibility of administering sessions via telehealth. This mixed-methods pilot study investigated whether nine Neurologic Music Therapy (NMT)^® sessions via telehealth would improve motor and attention skills in autistic children.

Methods: Five autistic children between five …

The Efficacy Of Telemental Health Interventions For Mood Disorders Pre-Covid-19: A Narrative Review, Alyssa M. Edwards, Jordan C. Petitt, Martha Sajatovic, Sanjana Kumar, Jennifer B. Levin

Faculty Scholarship

The onset of the COVID-19 pandemic saw a significant surge in the utilization of telemental health (TMH) services. This narrative review aimed to investigate the efficacy of TMH for serious mood disorders prior to the COVID-19 pandemic. A search across databases was conducted for randomized controlled trials focusing on TMH interventions for mood disorders, encompassing major depressive disorder (MDD) and bipolar disorder (BD). Study and patient characteristics, interventions, and outcomes were extracted. From a pool of 2611 papers initially identified, 17 met the inclusion criteria: 14 focused on MDD, while 4 addressed BD. Among these, 6 papers directly compared TMH …

Simulacra And Historical Fidelity In Digital Recreation Of Lost Cultural Heritage: Reconstituting Period Materialities For The Period Eye, Trent Olsen, James Hutson, Charles O'Brien, Jeremiah Ratican

Faculty Scholarship

The advancement of digital technologies in art history has opened avenues for reconstructing lost or damaged cultural heritage, a need highlighted by the deteriorated state of many artworks from the 1785 Salon. Grounded in the concept of the “Period Eye” by art historian Michael Baxandall, which emphasizes understanding artworks within their original historical and cultural contexts, this study proposes a subfield focused on Reconstituting Period Materialities for the Period Eye. This methodology bridges comprehensive historical research with generative visual artificial intelligence (AI) technologies, facilitating the creation and immersive virtual reality viewing of artworks. Beyond mere visual replication, the approach aims …

Advancing Sentiment Analysis Through Emotionally-Agnostic Text Mining In Large Language Models (Llms), Jay Ratican, James Hutson

Faculty Scholarship

The conventional methodology for sentiment analysis within large language models (LLMs) has predominantly drawn upon human emotional frameworks, incorporating physiological cues that are inherently absent in text-only communication. This research proposes a paradigm shift towards an emotionallyagnostic approach to sentiment analysis in LLMs, which concentrates on purely textual expressions of sentiment, circumventing the confounding effects of human physiological responses. The aim is to refine sentiment analysis algorithms to discern and generate emotionally congruent responses strictly from text-based cues. This study presents a comprehensive framework for an emotionally-agnostic sentiment analysis model that systematically excludes physiological indicators whilst maintaining the analytical depth …

Resonant Perceptions: Exploring Autistic Aesthetics Through Embodied Cognition, James Hutson, Piper Hutson

Faculty Scholarship

No abstract provided.

Persistent Identifiers And The Next Generation Of Legal Scholarship, Aaron Retteen, Malikah Hall-Retteen

Faculty Scholarship

This article discusses the importance of the most common persistent identifiers in scholarly communications—the digital object identifier and the ORCID identifier—to legal scholarship. Persistent identifiers help preserve and disseminate academic content and data-driven services that leverage this information standard are now integrated into the publication process. Because legal publishers have not widely adopted persistent identifiers, the legal discipline cannot enjoy the benefits offered by this system. This article looks at barriers to implementing persistent identifiers among legal publishers and provides an anecdotal example of creating a sustainable workflow between the law library and student-run law journals.

The Submerged Administrative State, Gabriel Scheffler, Daniel E. Walters

Faculty Scholarship

The United States government is experiencing a reputation crisis: after decades of declining public trust, many Americans have lost confidence in the government’s capacity to perform its basic functions. While various explanations have been offered for this worrying trend, these existing accounts overlook a key factor: people are unfamiliar with the institutions that actually do most of the governing—administrative agencies—and they devalue what they cannot easily observe. The “submerged” nature of the administrative state is, we argue, a central reason for declining trust in government.

This Article shows that the administrative state is systematically submerged in two ways. First, administrative …