Digital Commons Network^™

1785 Parisian Salon Project: New Methods And Practical Innovations In Digital Heritage Reconstruction, James Hutson, Charles O'Brien, Wesley Wolfe, Kayla Kraff, Trent Olsen

Faculty Scholarship

The 1785 Salon Unreal Engine Reconstruction Project represents a significant advance in digital heritage and immersive art historical research by combining generative AI-based asset creation, modular user experience (UX) design, and historically informed workflows. During the Spring 2025 phase, the project achieved major milestones, including the successful development of a replicable pipeline for transforming 2D reference images into period-accurate 3D sculpture models using generative AI and digital sculpting tools. Simultaneously, a robust and adaptable Inspection System was engineered within Unreal Engine, offering granular interaction controls, bilingual (English/French) content integration, dynamic metadata display, and enhanced accessibility. These innovations collectively enabled historically …

Neuroarts And Neuroaesthetics, James Hutson, Piper Hutson

Faculty Scholarship

Recent advancements in neuroarts and neuroaesthetics have elucidated the relationship between artistic engagement and neural processes, emphasizing the impact of aesthetic experiences on cognitive and emotional well-being. Central to this exploration is the NeuroArts Blueprint initiative, which consolidates interdisciplinary research to better understand the impactful role of the arts on brain function and health outcomes. Empirical studies highlight how exposure to art, such as music or visual stimuli, activates neural circuits involved in emotion regulation, memory, and reward processing, particularly engaging the medial orbitofrontal cortex. Innovations such as haptic and electro-tactile devices have introduced novel sensory modalities that not only …

Capturing Interfacial Phase Change And Flow Physics During Vertical Downflow Condensation, Thanh Hoang Phan, Cho Ning Huang, Chirag R. Kharangate

Faculty Scholarship

Two-phase configurations can address the urgent demand for effective heat dissipation solutions in Naval power and energy systems. A better understanding of thermal transport processes in phase-change flows is critical for developing novel two-phase design tools for naval scientists and engineers. This study investigates interfacial phase change and flow dynamics during condensation flow through numerical simulations. An enhanced phase change model, incorporating a mass transfer intensity coefficient dependent on condensation film thickness, is implemented for vertical downflow condensation. A two-dimensional homogeneous two-phase Reynolds-Averaged Navier-Stokes model, coupled with the Shear-Stress Transport k-ω turbulence model, is employed. The developed solver is thoroughly …

Evaluation Of Objective Methods For Analyzing Ipsilateral Motor Evoked Potentials In Stroke Survivors With Chronic Upper Extremity Motor Impairment, Xin Li, Jayme S. Knutson, Xiaofeng Wang, Ken Uchino, Ela B. Plow, David A. Cunningham

Faculty Scholarship

Objective. Ipsilateral motor evoked potentials (iMEPs) are believed to represent cortically evoked excitability of uncrossed brainstem-mediated pathways. In the event of extensive injury to (crossed) corticospinal pathways, which can occur following a stroke, uncrossed ipsilateral pathways may serve as an alternate resource to support the recovery of the paretic limb. However, iMEPs, even in neurally intact people, can be small, infrequent, and noisy, so discerning them in stroke survivors is very challenging. This study aimed to investigate the inter-rater reliability of iMEP features (presence/absence, amplitude, area, onset, and offset) to evaluate the reliability of existing methods for objectively analyzing iMEPs …

Materials Data Science Ontology(Mds-Onto): Unifying Domain Knowledge In Materials And Applied Data Science, Balashanmuga Priyan Rajamohan, Alexander C. Harding Bradley, Van D. Tran, Jonathan E. Gordon, Hayden W. Caldwell, Redad Mehdi, Gabriel Ponon, Quynh D. Tran, Ozan Dernek, Benjamin G. Pierce, Raymond Wieser, Weiqi Yue, Kiefer Lin, Jiana Kambo, Arafath Nihar, Pawan K. Tripathi, Yinghui Wu, Laura S. Bruckman, Erika I. Barcelos, Roger H. French

Faculty Scholarship

Ontologies have gained popularity in the scientific community as a way to standardize terminologies in organizations’ data. Although certain cohorts have created frameworks with rules and guidelines on creating ontologies, there exist significant variations in how Materials Science ontologies are currently developed. We seek to provide guidance in the form of a unified automated framework for developing interoperable and modular ontologies for Materials Data Science that simplifies the ontology terms matching by establishing a semantic bridge up to the Basic Formal Ontology(BFO). This framework provides key recommendations on how ontologies should be positioned within the semantic web, what knowledge representation …

Integrating Ai-Driven Neurofeedback With Brain-Computer Interfaces: A Paradigm For Effortless Learning And Workforce Transformation, James Hutson

Faculty Scholarship

This editorial discusses the merging of AI-driven neurofeedback with brain-computer interfaces (BCIs) to create a new model for effortless, unconscious learning. By interpreting and reinforcing specific neural patterns, these technologies can enable users to acquire skills without traditional instruction, making them especially valuable in fast-evolving industries. They also offer powerful tools for individuals with physical impairments by enabling control through thought alone. However, the author emphasizes the importance of ethical oversight, particularly around cognitive autonomy, data privacy, and consent. As the field matures, ongoing research and regulation will be essential to ensure responsible development and widespread, beneficial use.

Sustained Release Of Antifibrotic Nintedanib From Polymer Microparticles Reduces Dosing Frequency While Reducing Inflammation In Murine Idiopathic Pulmonary Fibrosis, Emmanuel Einyat Opolot, Filip Goshevski, Rahul Chaudhary, Horst A. Von Recum, Amar B. Desai

Faculty Scholarship

Purpose: Idiopathic pulmonary fibrosis (IPF) is a life-threatening, progressive lung disease with limited therapeutic options, often resulting in poor patient outcomes. Current treatments, such as Nintedanib (NTB) and Pirfenidone (PFD), require frequent administration, leading to adverse effects and low patient adherence. The purpose of this study was to investigate a sustained-release drug delivery system utilizing microparticles (MPs) composed of insoluble beta-cyclodextrin (β-CD) polymers to enhance the bioavailability and extend the release of NTB and PFD. Methods: A multidisciplinary approach, including in silico modeling, in vitro assays, and in vivo studies, was employed to assess the efficacy of β-CD-polymer MPs as …

Phosphotungstic Acid Staining To Visualize The Vagus Nerve Perineurium Using Micro-Ct, Aniruddha R. Upadhye, Jennifer Coleman, Michael W. Jenkins, David Wilson, Andrew J. Shoffstall

Faculty Scholarship

Background and Purpose: Peripheral nerve stimulation is approved by the US Food and Drug Administration for treating various disorders, but it is often limited by side effects, highlighting the need for a clear understanding of fascicular and fiber organization to design selective therapies. Micro-CT imaging of contrast-stained nerves enables the visualization of tissue microstructures, such as the fascicular perineurium and vasculature. In this work, we evaluated phosphotungstic acid (PTA) as a contrast agent and assessed its compatibility with downstream histology. Methods: Human vagus nerve samples were collected from three embalmed cadavers and subjected to three different staining methods, followed by …

The Interchangeable-Part Structure Of Food And Drug Law, Adam I. Muchmore

Faculty Scholarship

This Article demonstrates that nested tiers of interchangeable parts serve as the foundation for the regulatory programs administered by the U.S. Food and Drug Administration. Core interchangeable parts used in FDA-administered programs include product categories, prohibitions on adulteration and misbranding, agency-registration requirements, current good manufacturing practices, product standards, marketing authorization requirements, postmarket requirements, and user fees. In each of these areas, Congress or the FDA has engaged in interchangeable-part lawmaking (IPL). IPL occurs when a government takes a portion of its law in one subject area and uses it as a model for its own law in another subject area. …

Dictating The Divine: Revisiting Authorship, Intention, And Authority From Sacred Texts To Generative Ai, James Hutson, W. Travis Mcmaken

Faculty Scholarship

This article interrogates the historical practice of mediated authorship in religious texts to draw critical parallels with contemporary debates surrounding generative artificial intelligence (AI), specifically large language models (LLMs). By juxtaposing the mediated authorship of sacred texts, such as the Hebrew Bible and New Testament—where figures like the Apostle Paul dictated theological concepts to scribes who infused these directives with their interpretive insights—with the generative processes of LLMs, this research underscores the shared dynamics of co-constructed authorship across historical and technological contexts. Employing interdisciplinary methodologies from art history, textual studies, and reception theory, as well as theological and biblical studies, …

Living Nondirected Kidney Donation: A Psychoanalytic Case-Based Investigation Of Altruism And Its Implications For Psychosocial Evaluation Guidelines, Robert M. Guerin

Faculty Scholarship

Why donate a kidney to a stranger? The history of living nondirected kidney donation, so-called altruistic or Good Samaritan donation, is notable for its associated skepticism if not outright rejection. Since its possibility, transplantation institutes have been concerned over the motives of individuals who present to their clinics with the wish to donate a kidney to a stranger. Are these motives pure? Might there be ulterior motives or secondary gain? Or might these motives be pathological, derivative from a psychiatric disease or syndrome? Although attitudes toward the nondirected donor have improved, skepticism remains: Why, after all, benefit another in this …

Computed Microtomographic Imaging Of Revascularization During Healing Of Achilles Tendon Injury, Seher Yilmaz, Ozan Akkus

Faculty Scholarship

Angiogenesis in injured tendons may contribute to regeneration, but quantifying it post-injury has been mostly limited to 2D semi-quantitative histology. This study aimed to develop micro-CT as a 3D tool to quantitatively assess tendon blood vessels in an experimental animal model. Adult male Wistar rats (N = 36) had injuries induced in their Achilles tendons by needle insertion. The study included three post-injury groups: 12 hours post-injury (12H), 3 weeks post-injury (3W), and 8 weeks post-injury (8W). The uninjured left Achilles tendon served as the control for each group. Intravital cardiac perfusion with barium sulfate enhanced contrast between tendon and …

Affordable Acoustic Solutions: Enhancing Accessibility Through Sustainable Soundproofing Materials, Piper Hutson, James Hutson

Faculty Scholarship

The prohibitive cost of traditional soundproofing materials, such as Mass Loaded Vinyl (MLV) and acoustic mineral wool, often limits their accessibility for smaller studios, community spaces, and individual users. This review investigates the potential of sustainable, low-cost materials to offer an alternative without compromising acoustic quality. Magnetic sound dampeners, recycled wool, egg cartons, and bottle caps, for example, provide effective sound management at a fraction of the cost of commercial products. By focusing on upcycled and readily available materials, this study presents strategies to reduce the financial barriers to soundproofing. It also examines the effectiveness of these alternatives in spaces …

Experimental Investigation Of External Flow Condensation Heat Transfer In Horizontal Tube-In-Tube Configuration, Jiayuan Li, Jayachandran K. Narayanan, Chirag R. Kharangate

Faculty Scholarship

Flow condensation is an important process used to achieve heat rejection across thermal power and energy systems. Studies on tube condensation have concentrated on the condensing fluid flowing in the inner tube. However, common heat exchanger configurations like the shell-and-tube types see the condensing fluid on the outer surface of the tubes. To address this gap, in this study, we investigate the local and channel-averaged heat transfer characteristics of flow condensation happening on the exterior of a horizontal tube in the tube-in-tube configuration. An external flow condensation module is developed and tested to obtain heat transfer and flow visualization data, …

Redefining Cancer Photodynamic Therapy With Gold Nanoparticles, Zoey A. Lockwood, Michael R. Jirousek, James P. Basilion, Clemens Burda

Faculty Scholarship

Despite advancements made in treatment options, cancer continues to be one of the leading causes of death worldwide. Photodynamic therapy (PDT) has gained attention as a minimally invasive and highly selective treatment option for cancer. However, challenges due to the hydrophobicity of photosensitizers and their poor tumor selectivity have limited their use in cancer therapy. Recent developments in nanotechnology, particularly the use of gold nanoparticles (AuNPs), help overcome these challenges. AuNPs provide a stable and biocompatible platform to deliver photosensitizers, improving their solubility, stability, and ability to target tumors while reducing side effects. Functionalized AuNPs take advantage of mechanisms like …

Alphafold 3, Ai, Antibody Patents, The Future Of Broad Pharmaceutical Patent Claims, And Drug Development, Brendan Bargmann, Robert A. Bohrer

Faculty Scholarship

Artificial intelligence (AI) will have an enormous impact both on pharmaceutical development and patent protection, particularly for antibody therapeutics. In Amgen Inc. v. Sanofi, the U.S. Supreme Court limited the scope of Amgen’s therapeutic antibody patent to only those antibodies that were specifically described in Amgen’s patent application and that had been shown to bind to a particular region of the target antigen, blocking the activity of the antigen that caused disease. The reason for this limitation was the patent requirement of enablement: that potentially millions of antibodies could be generated to the target antigen but that not all …

Development And Evaluation Of The Da Vinci Ai Tutor: Enhancing Accessibility And Personalized Learning In Art History Education, James Hutson, Tiffani Barner

Faculty Scholarship

This study examines the implementation of the Da Vinci AI Tutor, an innovative artificial intelligence (AI)-based tutoring platform designed specifically for enhancing personalized and accessible learning in art history within higher education. Launched in Fall 2024 at a private liberal arts institution in the Midwest, the system integrates a conversational AI avatar modeled after Leonardo da Vinci, incorporating immersive virtual reality environments and multimodal interaction capabilities to engage students across undergraduate survey courses, advanced Renaissance classes, and graduate comprehensive exam preparations. Addressing significant gaps in existing humanities education research, the current study explores two primary research questions: (i) How AI-driven …

Science-Based Policy Recommendations For Managing Emerging Pollutants: Protecting Water Quality For The Health Of People And The Environment, Sarantuyaa Zandaryaa, Ali Fares, Gabriel Eckstein, Regina M. Buono, Mary Trudeau, James E. Nickum, Xingui Xia, Atikur Rahman, Marijn Korndewal, Cassiana C. Montagner, Piero R. Gardinali, Robert Michael Di Filippo, Anoop Veettil

Faculty Scholarship

Emerging water pollutants are a growing global concern due to their ubiquitous presence in water resources worldwide and their potential adverse effects on human health and ecosystems. Limited scientific understanding of sources of emerging pollutants’ emissions to water bodies and their pathways, behaviour, and fate in aquatic environments, as well as human health and ecological effects, is a significant hindrance in managing emerging water pollutants. With exceptions concerning PFAS/PFOS and microplastic beads, there are few regulations for emerging pollutants in national water and environmental policies, which results in a critical gap in safeguarding human health and aquatic ecosystems through effective …

Who Owns The Heat? Property Rights In Geothermal Energy, Gabriel Eckstein

Faculty Scholarship

Landowners can have ownership claims to oil, gas, water, and other tangible natural resources located in their subsoil. But can they also claim rights to the thermal energy found below their land? With 50,000 times more heat energy within the top 10,000 meters (around 33,000 feet) of the Earth’s surface than contained in all of the world’s oil and natural gas resources combined, geothermal energy is a tremendously promising, clean, and renewable energy resource. Yet, ambiguities in property rights related to the development and ownership of geothermal energy resources raise questions about who is entitled to benefit from that potential. …

Micro-Costs, Kiel Brennan-Marquez, Brendan S. Maher

Faculty Scholarship

The modern world is filled with tiny attentional impositions (cognitiveasks) that inflict small mental burdens (micro-costs) on virtually everyone, everywhere, all the time. Micro-costs make life worse, and everybody knows it. They sap collective energy; they lead to worse decisions; they exacerbate inequality; and they contribute to an overall sense of "mismanagement" in the world, a sentiment that readily pairs with destructive political impulses.

Yet the law has essentially ignored micro-costs-until now. In what follows, we construct a theory of micro-costs that gives the phenomenon analytic shape and charts a path forward for reform. Drawing on the insights of philosophy, …

Guide To Sec And Business Open Source Corporate Intelligence, Lawrence J. Trautman, Brian Elzweig, Neal F. Newman

Faculty Scholarship

An agency of the U.S. intelligence community observes, "The explosion of open source intelligence (OSINT) in recent years has transformed how governments and people around the world consume and process information about society and global issues." It is likely that "We all use open-source and probably don't even realize it, but we also use it for different reasons. You might use open-source information to do a credibility check and to find out more about the person selling you something on Facebook marketplace." Others "may research someone… met on a dating app or before hiring someone for a job." Every use …

Enhancing Metacognitive Competencies Through Human-Centered Ai: The Role Of Custom-Trained Intelligent Agents In Workforce Upskilling, James Hutson

Faculty Scholarship

This editorial examines the integration of human-computer intelligent interaction (HCII), specifically through human-centered artificial intelligence (AI) and custom-trained intelligent agents, to foster metacognitive competencies critical for workforce upskilling. With 59% of the workforce projected to require substantial upskilling by 2030, developing personalized AI models tailored to individual cognitive and learning profiles presents an innovative pathway. These custom-trained agents leverage human-computer interaction (HCI) technologies and machine learning methodologies to enhance understanding of one’s own learning processes-metacognition-thus empowering individuals to optimize their future learning and adaptability. This approach not only enhances the individual’s ability to engage effectively with complex tasks in the …

Humanist Copyright, Jane C. Ginsburg

Faculty Scholarship

This exploration of the role of authorship in copyright law proceeds in three parts: historical, doctrinal, and predictive. First, I will review the development of author-focused property rights in the pre-copyright regimes of printing privileges and in early Anglo-American copyright law through the 1909 U.S. Copyright Act. Second, I will analyze the extent to which the present U.S. copyright law does (and does not) honor human authorship. Finally, I will consider the potential responses of copyright law to the claims of proprietary rights in AI-generated outputs. I will explain why the humanist orientation of U.S. copyright law validates the position …

Law And Historical Materialism, Jeremy K. Kessler

Faculty Scholarship

Since the financial crisis of 2008, left-leaning legal thought has experienced a renaissance within the American academy. From law and political economy to critical race theory to feminist legal studies to Marxist legal theory, new perspectives have flourished, and marginalized traditions have been revived and revised. These new perspectives and revisionist projects all share an intellectual debt to the critical legal studies (“CLS”) movement of the late 1970s and 1980s. That movement’s critique was focused on functional accounts of law: accounts that understood legal change as primarily responsive to the demands of extralegal social and economic forces. Some of those …

Promises, Promises: Understanding Claims Made In Social Robot Consumer Experiences, Johanna Gunawan, Sarah Elizabeth Gillespie, David Choffnes, Woodrow Hartzog, Christo Wilson

Faculty Scholarship

Social robots are a class of emerging smart consumer electronics devices that promise sophisticated experiences featuring emotive capabilities, artificial intelligence, conversational interaction, and more. With unique risk factors like emotional attachment, little is known on how social robots communicate these promises to consumers and whether they adequately deliver upon them within their overall product experiences prior to and during user interaction.

Animated by a consumer protection lens, this paper systematically investigates manufacturer claims made for four commercially available social robots, evaluating these claims against the provided user experience and consumer reviews. We find that social robots vary widely in the …

Memgb-Diff: Memory-Efficient Multivariate Gaussian Bias Diffusion Model For 3d Bias Field Correction, Shuo Li

Faculty Scholarship

Bias fields inevitably degrade MRI that seriously interferes the diagnosis of physicians for accurate analysis, and removing it is a crucial image analysis task. Generative models (such as GANs) are used for bias field correction, and outperform traditional methods, however are hindered by the high cost of data annotation and instability during training. Recently, the diffusion-based methods have excelled over GANs in many applications, and they are powerful in removing noise from images, while the bias field can be regarded as a smooth noise. However, it is a challenge to directly apply to 3D bias field correction due to sampling …

Stable Heteroclinic Channels As A Decision-Making Model: Overcoming Low Signal-To-Noise Ratio With Mutual Inhibition, Natasha A. Rouse

Faculty Scholarship

Bio-inspired robot controllers are becoming more complex as we strive to make them more robust to, and flexible in, noisy, real-world environments. A stable heteroclinic network (SHN) is a dynamical system that produces cyclical state transitions using noisy input. SHN-based robot controllers enable sensory input to be integrated at the phase-space level of the controller, thus simplifying sensor-integrated, robot control methods. In this work, we investigate the mechanism that drives branching state trajectories in SHNs. We liken the branching state trajectories to decision-splits imposed into the system, which opens the door for more sophisticated controls-all driven by sensory input. This …

Soft Robotic Brittle Star Shows The Influence Of Mass Distribution On Underwater Walking, Zach J. Patterson

Faculty Scholarship

Most walking organisms tend to have relatively light limbs and heavy bodies in order to facilitate rapid limb motion. However, the limbs of brittle stars (Class Ophiuroidea) are primarily comprised of dense skeletal elements, with potentially much higher mass and density compared to the body disk. To date, little is understood about how the relatively unique distribution of mass in these animals influences their locomotion. In this work, we use a brittle star inspired soft robot and computational modeling to examine how the distribution of mass and density in brittle stars affects their movement. The soft robot is fully untethered, …

How Engineering Students Learn And Are Impacted By Empathy Training: A Multi-Year Study Of An Empathy Program Focused On Disability And Technology, Eric Schearer

Faculty Scholarship

Measurable results of efforts to teach empathy to engineering students are sparse and somewhat mixed. This study’s objectives are (O1) to understand how empathy training affects students’ professional development relative to other educational experiences, (O2) to track empathy changes due to training over multiple years, and (O3) to understand how and what students learn in empathy training environments.

Dietary Effects On The Retina Of Hamsters, Nicole El-Darzi, Natalia Mast, Yong Li, Irina A. Pikuleva

Faculty Scholarship

The retina is a sensory tissue in the back of the eye, which captures visual information and relays it to the brain. The retinal pigment epithelium separates the neural retina from the choroidal (systemic) circulation and is thereby exposed to circulating lipoprotein particles. Herein, we used hamsters and conducted various retinal evaluations of animals fed either a normal diet or a Western-type diet (WTD). Prior to evaluations, hamsters were injected with indocyanine green (ICG), a fluorescent dye that binds to various proteins and lipids in the systemic circulation. The WTD increased plasma levels of total and HDL cholesterol 1.8- and …