Digital Commons Network^™

Proactive Safety Reasoning In Human-Robot Collaboration In Disassembly Through Llm-Augmented Stpa And Fmea, Morteza Jalali Alenjareghi, Fardin Ghorbani, Samira Keivanpour, Yuvin Adnarain Chinniah, Sabrina Jocelyn

Études primaires

Disassembly tasks in human–robot collaboration (HRC) environments present safety challenges due to hazardous materials, control system variability, and physically demanding operator tasks. To address these challenges, we propose an AI-augmented risk assessment framework integrating System-Theoretic Process Analysis (STPA) and Failure Mode and Effects Analysis (FMEA). This framework is implemented in four configurations: Term Frequency– Inverse Document Frequency (TF-IDF), Fine-tuned Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and RAG with a structured Knowledge Graph (KG) built from safety standards. The system supports real-time, standards-compliant safety reasoning by generating interpretable, context-specific recommendations. We evaluate these configurations across GPT-3.5 TURBO, GPT-4o, GPT-4.1, and …

Advancing Greenhouse Air Filtration: Biodegradable Nanofiber Filters With Sustained Antimicrobial Performance, Amirali Bajgholi, Reza Jafari, Alireza Saidi

Études primaires

Air quality management in greenhouses is critical to safeguarding plant health and occupational safety, yet conventional filtration methods often fall short in performance and sustainability. These enclosed environments are prone to the accumulation of bioaerosols, including fungi, bacteria, pollen, and dust particles, which can compromise crop productivity and pose health risks to workers. This review explores recent advancements in air filtration technologies for controlled environments such as greenhouses, where airborne particulate matter, bioaerosols, and volatile organic compounds (VOCs) present ongoing challenges. Special focus is given to the development of filtration media based on electrospun nanofibers, which offer high surface area, …

Early Drowsiness Detection Via Second-Order Derivative Analysis Of Heart Rate Variability: A Non-Contact Ecg Approach With Machine Learning, Fabrice Vaussenat, Abhiroop Bhattacharya, Julie Payette, Alireza Saidi, Victor Bellemin, Geordi-Gabriel Renaud-Dumoulin, Sylvain G. Cloutier, Ghislain Gagnon

Études primaires

Drowsy driving contributes to roughly 20% of traffic fatalities, yet most detection systems rely on behavioral cues that appear only after impairment has set in. Here we ask whether first and second derivatives of heart rate variability (HRV) can detect pre-crash states earlier than conventional approaches. Twenty-five participants completed 49 driving simulator sessions while we recorded cardiac activity through capacitive ECG electrodes embedded in the seat backrest—a non-contact method that avoids the privacy concerns of camera-based monitoring. To prevent circular evaluation, ground truth labels were based solely on crash proximity rather than HRV-derived scores. The combined HRV feature set (conventional …

Computer Vision-Based Collision Prevention In Construction: Bridging Academic Advances And Industrial Requirements, Marwa Ziadia, François Gauthier, Damien Burlet-Vienney

Études primaires

Computer vision (CV) technologies have emerged as promising tools for real-time collision risk management. This paper examines CV-based collision-prevention systems from academic and industrial perspectives with a focus on identifying technical and implementation challenges affecting their deployment on construction sites. A scoping review of 158 publications was conducted, alongside an assessment of commercial CV-based collision-prevention systems currently used in construction. The analysis focused on five key functions: object detection, distance measurement and proximity estimation, tracking, worker re-identification (ReID), and deployment robustness. Academic studies demonstrate substantial progress in detection accuracy, real-time processing, trajectory tracking, and predictive risk assessment through deep learning …

Moral Progress In Legal Doctrine, Philip Petrov

Faculty Scholarship

This article integrates the concept of moral progress – here, moral improvement in the thinking and behavior of individuals over time – into the study of legal doctrine. The article first presents a naturalistic account of what moral progress is and describes three of its most historically and analytically important forms: (1) moral circle expansion, (2) moral domain expansion, and (3) increasing sensitivity to proportionality. The article then analyzes three historical developments in U.S. tort law that qualify as instances of moral progress: (1) the partial demise of the “suicide rule” beginning around the 1980s (according to …

Digital Assets And The Property Question, Andrea Tosato, Christopher K. Odinet

Faculty Scholarship

Is crypto property? The proliferation of digital assets such as cryptocurrencies, stablecoins, memecoins, and NFTs has confronted legal systems worldwide with three interdependent challenges: determining whether they are property, identifying their appropriate classification within property taxonomies, and establishing rules for their circulation in commerce. Our Article addresses this tripartite question—the Property Question—within American law.

The stakes here are significant. Billions of dollars in digital assets are traded daily, used as collateral, and held by custodial platforms. Yet all these transactions rest on an unresolved premise: that digital assets can be owned and are governed by established property rules. This fundamental …

Upr Report Submissions, Sarah Dávila A., Lauren E. Bartlett

Faculty White Papers

No abstract provided.

Operation Midway Blitz: How Federal Immigration Agents Violated International Human Rights, Sarah Dávila A., Alejandra Palacios, Roberto A. Valdez Jr.

Faculty White Papers

No abstract provided.

A Conceptual Framework For Cognitive Engagement And Human Agency In Ai-Mediated Learning, Sam Rhodes, Zuhal Yilmaz, Terrie Galanti, Younggon Bae, Victoria Delaney, Zareen Gul Aga, Stephen Hutt

School of Mathematical & Statistical Sciences Faculty Publications

The purpose of this chapter is to propose a conceptual framework that unpacks AI use in instructional practice across three interrelated dimensions: human agency, cognitive demand, and AI orchestration. We ground this work in historical perspectives on technology's mediating role in education. We then propose the conceptual framework and three characterizations of the use of AI in school instruction: cognitive load reducer, cognitive capacity builder, and cognitive companion. We then illustrate a worked example of each, including a curricular example and sample student prompts, and conclude with questions that educators might ask themselves as they consider if and how to …

Fully Discrete Finite Element Methods For The Stochastic Kuramoto–Sivashinsky Equation With Multiplicative Noise, Hung D. Nguyen, Liet Vo

School of Mathematical & Statistical Sciences Faculty Publications

We investigate a fully discrete finite element approximation for the stochastic Kuramoto–Sivashinsky equation, combining the standard finite element methods in spatial discretization with the implicit Euler–Maruyama scheme in time. Rigorous error estimates are established for two distinct noise regimes. In the case of bounded multiplicative noise, we prove optimal strong convergence rates in full expectation. The analysis relies crucially on a stochastic Gronwall inequality and an exponential stability estimate for the PDE solution, which together control the interplay between the nonlinear drift and the multiplicative stochastic forcing. For general multiplicative noise, where boundedness no longer holds, we derive sub-optimal convergence …

Mariano Torres And Lester Wilson V. James Carlson, Et. Al., Brief Of Amicus Curiae Center For Jewish Legal Studies In Support Of Plaintiffs-Appellants And Reversal, Rona Kaufmann, Lee Wolosky, Andrew J. Lichtman, Machol Benmelech

Law Faculty Publications

Amicus curiae the Center for Jewish Legal Studies (“CJLS”)¹ is an academic organization dedicated to establishing and advancing the emerging field of Jewish Legal Studies, which examines the intersection of law and Jewish peoplehood. CJLS convenes legal and interdisciplinary scholars whose research examines antisemitism and anti-Zionism across historical periods and ideological movements, including how ostensibly political language can express hostility toward Jews as a people. Through this scholarship, CJLS develops historical and legal frameworks that assist courts in recognizing and evaluating contemporary manifestations of anti-Jewish discrimination.

Reclaiming Sophia In The Age Of Ai: Theological And Ethical Reflections On Consecrated Technology And Human Dignity, Matthew H. Sauber

Faculty Scholarship 2026

The cultural emergence of artificial intelligence systems named after figures of divine wisdom—most notably the Hanson Robotics humanoid Sophia, granted Saudi citizenship in 2017—reveals a gap between the language of the wisdom traditions and that of contemporary technology. This paper treats that gap as the occasion for theological and ethical reflection on AI. Drawing on the Sophia tradition across its Hebrew, Hellenistic-Patristic, Gnostic, Russian Sophiological, perennialist, and Sufi articulations—especially Sergei Bulgakov’s account of Sophia as mediation between divine wisdom and created order—it develops a framework termed Consecrated Technology. The argument unfolds in three moves: (1) a structural critique showing how …

From Disconnection To Well-Being: A Longitudinal Study On Digital Access As A Social Determinant Of Health For Older Adults In China, Minzhi Ye, Jierong Hu

School of Social Work Faculty Publications

Objectives: This study innovatively includes digital access as a social determinant of health (SDoH) to examine the longitudinal relationship between digital inclusion and subjective well-being among older adults in China, one of the largest aging populations worldwide.

Methods: We used data from the Chinese Longitudinal Aging Social Survey (CLASS, 2016 and 2020 waves). We applied the SDoH framework to analyze the interaction between digital inclusion and social structures at the micro, meso, and macro levels. Digital accessibility was captured in waves in 2016 and 2020. Four digital accessibility trajectories were identified: continuous access, gained access, lost access, and never accessed. …

Parents’ Perspectives On Trajectories Of Well-Being For Immigrant Youth From Central America., Tatiana Londoño, Lauren E. Gulbas, Luis H. Zayas

School of Social Work Faculty Publications

This study explored the trajectories of well-being among immigrant youth in the United States using an ecodevelopmental and posttraumatic growth perspective. Immigrant youth were from the Northern Triangle of Central America and had recently been released from immigration family detention in the United States. Through time-ordered matrix thematic analysis of interviews with 15 mothers at baseline and follow-up (N = 30 interviews), the research revealed a complex landscape of challenges and adaptations during resettlement. While initial adverse emotional outcomes were common, these tended to improve over time as families gained stability in the United States. Family structure emerged as …

“Full And Equal Access”: A Socio-Ecological Model Of Healthcare Ableism Experienced By The Blind And The Low Vision Community, Rebecca Fischbein, Rachel Conrad Bracken, Allyson S. Hughes, Rayyan Bhutta, Nazanin M. Heydarian

School of Social Work Faculty Publications

In 2023, the National Institutes of Health (NIH) designated people with disabilities as a population experiencing health disparities, citing “a wide and varying range of health conditions leading to poorer health and shorter lifespan” and “discrimination, inequality and exclusionary structural practices” contributing to pervasive health inequities. As blindness and low vision (BLV) become increasingly common due to an aging population coupled with higher rates of type 2 diabetes, more people who are BLV will require quality care. Yet, people who are BLV face many barriers to care, including healthcare provider and staff (HCP) ableism. In this chapter, we propose a …

Biochemical Investigations Of F420-Dependent Glucose-6-Phosphate Dehydrogenase From Cryptosporangium Arvum, Sarah T. Al-Noubani

2026 Spring Honors Capstones Projects

F₄₂₀-dependent glucose-6-phosphate dehydrogenase (FGD) catalyzes the conversion of glucose-6-phosphate to 6-phosphogluconolactone using the deazaflavin, Cofactor F₄₂₀. FGD from Mycobacterium tuberculosis has been investigated due to its health relevance to prodrug activation. More recently, FGD from Cryptosporangium arvum (Cryar- FGD) has been investigated due to its broader substrate specificity toward multiple sugar phosphates. Kinetic and NMR studies have shown that Cryar-FGD has dual catalytic activity as a dehydrogenase and isomerase. Further investigations are being conducted on Cryar-FGD to characterize key residues involved in catalysis.

To investigate the catalytically active residues of Cryar-FGD, …

Socioeconomic Influences On Doula Access And Perceived Care Quality Among Black Women Experiencing Severe Maternal Morbidity, Deborah Esene

2026 Spring Honors Capstones Projects

Black women experience disproportionately high rates of maternal morbidity and mortality, making it essential to examine access to and the perceived impact of doula support. This study examines whether socioeconomic status influences access to and the perceived benefits of doula support among Black women who experienced severe maternal morbidity (SMM). Researchers surveyed Black women ages 18-49 who had a live birth within the past two years and experienced SMM. Participants were recruited and completed an online survey in late 2020. Key variables included income, education, doula use, and perceived quality of prenatal, intrapartum, and postpartum care. Among 188 participants, 12.2% …

Circle Actions On Oriented 4-Manifolds, Donghoon Jang, Oleg R. Musin

School of Mathematical & Statistical Sciences Faculty Publications

In this present paper, we consider an action of the circle group on a compact oriented 4-manifold. We derive the Atiyah–Hirzebruch formula for the manifold, and associate a graph in terms of data on the fixed point set. We show in the case of isolated fixed points that if an abstract graph satisfies the Atiyah–Hirzebruch formula, then there exists a corresponding 4-dimensional oriented S1-manifold.

Workshop Outcomes Report: 2nd International Workshop On Seismic Resilience Of Arctic Infrastructure And Social Systems, Majid Ghayoomi, Daniela Morganti

Faculty Publications

The report provides an overview of the second international workshop on Seismic Resilience of Arctic Infrastructure and Social Systems. The report discusses agenda, workshop activities, interdisciplinary working groups, and results. It ends with several strategic questions and investigation plans that were developed as part of the workshop activities.

Development And Validation Of A Multi-Output Neural Network-Based Virtual Temperature Sensor For Electric Vehicle Thermal Management, Dalton Michael Wiggins

Graduate Theses, Dissertations, and Problem Reports (ETD)

Battery electric vehicles (BEVs) rely on accurate thermal management to ensure component performance, efficiency, safety, and long-term durability. Critical propulsion system components, including electric motors and high-voltage battery packs, are commonly monitored using physical temperature sensors. However, these sensors increase system cost, introduce additional hardware complexity, and may be impractical for directly measuring temperatures at critical internal locations. Virtual temperature sensors (VTSs) provide a software-based alternative by estimating component temperatures using readily available vehicle operating data.

This research presents the development and validation of a long short-term memory (LSTM) neural network-based virtual temperature sensor capable of simultaneously estimating the motor …

Survival, Cause-Specific Mortality, Resource Selection, Movement Rates, And Population Dynamics Of White-Tailed Deer (Odocoileus Virginianus) In West Virginia, Usa, Brett P. Skelly

Graduate Theses, Dissertations, and Problem Reports (ETD)

White-tailed deer (Odocoileus virginianus) are one of the most culturally and economically important big game species in the United States. At the turn of the 20th century white-tailed deer were almost extirpated due to market hunting and unsustainable forestry practices that destroyed habitat. The creation of game laws that eliminated market hunting and created seasons and bag limits for deer hunting along with restocking efforts by sportsmen’s groups and state wildlife agencies aided in deer population recovery. These efforts have led to the abundant deer populations that are currently enjoyed by hunters and wildlife viewers. Deer populations require …

The Tax Governance Triangle: An Attitudinal Theory Of State Capacity And Tax Compliance., Abdul Wahid Uqaily

Graduate Theses, Dissertations, and Problem Reports (ETD)

The Tax Governance Triangle: An Attitudinal Theory of State Capacity and Tax Compliance

Abdul Wahid Uqaily

Variation in states' extractive capacity is a central puzzle in comparative politics and political economy. Existing scholarship explains this variation largely through institutional quality, administrative capability, or coercive enforcement, with less attention to the attitudinal foundations that shape key actors' willingness to sustain an effective fiscal system. This dissertation addresses that gap by asking: how do the attitudes and behaviors of citizens, bureaucrats, and elites shape variation in a state's extractive capacity?

To answer this question, the dissertation develops the “Tax Governance Triangle” and …

Revival Through Resilience In The Post-Mined Landscape: Demonstrating The Socio-Economic Context Of Appalachia And Exploring How Community Infrastructure And Cultural Tourism Can Be Catalysts For Economic Regeneration In Appalachian Communities, Azita Tasnim Ritu

Graduate Theses, Dissertations, and Problem Reports (ETD)

Post-industrial communities across Appalachia continue to experience economic and environmental challenges following the decline of coal mining and related industries. Towns such as Smithers and Montgomery, West Virginia, reflect these conditions through economic stagnation, population loss, aging infrastructure, and degraded landscapes, creating an urgent need for sustainable redevelopment strategies.

The Appalachian Regional Commission emphasizes economic diversification, infrastructure investment, and community revitalization as critical components for improving regional quality of life. However, many former mining communities continue to struggle with underutilized heritage assets, degraded landscapes, and limited economic alternatives. Cultural landscapes and local identity remain significant but often overlooked resources that …

Architecture And Mechanistic Engineering Of Nanocomposite Steam Electrodes For High-Performance Metal-Supported Protonic Ceramic Cells, Xuemei Li

Graduate Theses, Dissertations, and Problem Reports (ETD)

The advancement of proton-conducting ceramic cells (PCCs) is crucial for efficient energy conversion in hydrogen- and/or ammonia-based energy carrier systems. However, a bigger success requires significant progress in cell fabrication, interfacial stability, fast electrode kinetics, and high Faradaic efficiency. This study investigates the rational design, fabrication, and performance breakthroughs of PCCs, with a focus on electrode architecture engineering, material interfacial coupling, and mechanistic understanding of electrochemical processes.

The metal-supported fuel electrode structure of PCFCs was systematically optimized, revealing the significant influence of Ni diffusion on cell performance and durability. High power density and stable ammonia-fueled operation were achieved. A heterointerface-rich …

Innovative Strategies For Stabilizing Zinc Anodes: From Molecular Design To Practical Zinc-Ion Batteries, Nhat Anh Thi Thieu

Graduate Theses, Dissertations, and Problem Reports (ETD)

Aqueous zinc-ion batteries (AZIBs) have become increasingly attractive as grid-scale energy storage solutions due to their safety, low cost, and environmental friendliness. However, the anode-electrolyte interface in AZIBs is prone to instability due to severe dendrite growth, self-corrosion, parasitic water-induced side reactions, and hydrogen evolution reactions (HER), which collectively lead to poor cyclability. To date, various interfacial engineering strategies have been investigated to address these challenges and improve the stability of Zn metal anodes. This dissertation presents a unified strategy for regulating Zn deposition through synergistic electrode and electrolyte design in laboratory-scale coin cells and then applies these concepts to …

Computer Vision Methods For Rfi Segmentation In Radio Astronomy, Yechan Kweon

Graduate Theses, Dissertations, and Problem Reports (ETD)

Radio Frequency Interference (RFI) increasingly contaminates the radio astronomy spectrum, often exceeding astronomical signal amplitudes by 50–70 dB. Reliable detection and mitigation are therefore essential for studies of faint transient phenomena such as pulsars and fast radio bursts (FRBs). Existing practical methods including Spectral Kurtosis (SK), Median Absolute Deviation (MAD), and SumThreshold perform well in many settings but depend on assumptions about the RFI environment and data statistics, limiting their effectiveness for weak, broadband, or nonstationary interference.

We develop a transform based RFI detection method that requires no prior knowledge of the RFI origin or type. The method operates on …

Multiphysics Modeling Of Microwave-Assisted Calcination Of Soec Perovskite Precursors, Hongwei Liu

Graduate Theses, Dissertations, and Problem Reports (ETD)

The calcination of precursor powders is a critical step in the synthesis of solid oxide electrolysis cells (SOECs), where phase purity and microstructural control directly influence electrochemical performance. Conventional calcination methods are energy-intensive and time-consuming, often requiring prolonged high-temperature processing. In this thesis, microwave-assisted calcination is investigated as an alternative approach to enable rapid, energy-efficient processing of SOEC per- ovskite precursor powders. Microwave heating offers distinct advantages, including volumetric and selective heating, reduced processing times, and improved energy utilization compared to con- ventional thermal methods. A multiphysics modeling framework is developed, which integrates electromagnetic wave propagation, governed by Maxwell’s equations, …

Evaluation Of Engineering Controls In Mitigation Of Fecal And Chloride Contamination To An Urban Stream, Gabriel J. Zenny

Graduate Theses, Dissertations, and Problem Reports (ETD)

Fecal coliform contamination is a major contributor to surface water pollution in the United States’ (U.S.) waterways, whether from combined sewer overflows (CSOs) (point source pollution), runoff from precipitation and snowmelt (nonpoint source pollution), or exfiltration from aging and failing infrastructure. In addition to fecal bacteria, chloride contamination is also a major, prevalent surface water contaminant impacting U.S. waterways. Chloride contamination is predominantly released into U.S. waterways as nonpoint source pollution, endemic to northern areas that use industrial brine and salt as a form of mitigation for ice accumulation on roadways. The purpose of this research was to investigate impairment …

Cultural Perceptions And Willingness Or Reluctance To Use Ai Chatbots For Emotional Support By International African Students In Higher Educational Institutions In The United States, Zakariah Issah

Graduate Theses, Dissertations, and Problem Reports (ETD)

The increasing use of artificial intelligence (AI) chatbots for emotional support underscores the need to understand how cultural perceptions shape their adoption among international African students in higher education institutions in the United States. Guided by the Technology Acceptance Model (TAM) and Social Stigma Theory, this qualitative study explored the perceptions, motivations, and barriers influencing the use of AI chatbots for emotional support. Semi-structured interviews were conducted with 20 undergraduate and graduate students from 10 African countries. The findings reveal that participants viewed AI chatbots as conditional and situational sources of emotional support rather than replacements for human relationships. Convenience, …

An Assessment Of Disease Risks, Population Genetics, And Spatial Ecology Of Appalachian Cottontails (Sylvilagus Obscurus) And Snowshoe Hares (Lepus Americanus) In West Virginia, Usa, Madison Leigh Miller

Graduate Theses, Dissertations, and Problem Reports (ETD)

Snowshoe hares (Lepus americanus) occupy a large range across the United States and Canada. While snowshoe hare populations are generally considered stable in the interior of their range, populations along range edges are experiencing declines, possibly driven by climate-related factors such as seasonal coat color mismatch. West Virginia represents one of the southernmost extents of the species’ range, yet little is known about the population genetic status or population sizes of snowshoe hares in the state. Appalachian cottontails (Sylvilagus obscurus) are another lagomorph species found in West Virginia. This species experienced a historical decline and currently …