Digital Commons Network^™

Effectiveness Of Quiz-Based Interventions In Virtual Reality Lectures On Learning, Mason T. Prather

Master's Theses

This thesis examined whether quiz-based interventions affect learning during an immersive virtual reality (VR) lecture and whether quiz timing strategy matters when prompts are delivered on a fixed timer or through gaze/Region of Interest (ROI)-based attention timing. The study used an eye-tracking virtual reality headset and a game engine-based classroom application. The final completed cohort included 29 participants assigned to three between-subjects conditions: No Intervention (n = 10), Timer-Based Intervention (n = 9), and Attention-Based Intervention (n = 10). All participants viewed the same virtual reality lecture and completed the same 15-item post-lecture assessment. Mean learning scores were 44.00% for …

Maa’: An Analysis From The May Weber Ethnographic Study Collection, Claire T. Chilla

Department of Anthropology

An analysis of Maa’ textiles from Sulawesi Indonesia. Discusses both the artistic symbolism, possible physical creation, and the spiritual connection of the textile for the Torajans. Informs through the lens of globalization, colonization, and funerary practices from the country of origin.

Red Teaming: Evaluating And Revising Attack Ideas Using Ai Prompts, Alexis D'Amato, Emma Theobald, Jack Rygg, Samuel Hunter, Joel Elson, Meg Shercliffe

Reports, Projects, and Research

In a red teaming exercise where participants used AI to evaluate and revise attack ideas against an adversarial group, results reveal that prompts involve multiple phases of the creative problem-solving process. During the exercise, participants were given a threat scenario and time with an unconstrained AI tool to evaluate an idea and generate a revised one. Input messages from the AI tool were collected and analyzed. In doing so, participants used AI prompts related to three core phases of the creative problem-solving process: information gathering, idea generation, and idea evaluation. This reveals that AI is used for various purposes, above …

Sensing Rna’S Conformation With A Solid-State Nanopore Device At Various Ph And Temperature, Haopeng Li

Graduate Theses and Dissertations

This study uses solid-state nanopore technology to investigate the stability and dynamics of RNA molecules under thermal stress and pH fluctuations. Two distinct mRNA samples were analyzed: (1) heat shock protein (HSP)-encoding mRNA extracted from Sulfolobus solfataricus P2, a thermophilic archaeon inhabiting extreme environments such as geothermal sulfuric hot springs (pH < 4, temperature range: 65–90°C), and (2) total RNA extracted from White Leghorn chickens, which thrive under standard physiological conditions. ΦX174 virion single-stranded DNA (ssDNA) were included as a comparative reference. Nanopores, fabricated in silicon nitride membranes, were used to electrically characterize the structural properties of individual RNA molecules in solution, close to their native environments. The nanopore membrane separates two chambers containing salt buffer solution, where ionic current is the primary measurement parameter. When a voltage bias is applied across the membrane, ion flow and an ionic current can be measured. Charged RNA molecules driven translocation through the nanopore induces pore resistance changes, resulting in detectable current blockade events. Variations in these events provide insights into RNA secondary structure and conformational dynamics. By systematically altering pH and temperature, this study elucidates the effects of environmental stressors on RNA stability and structural integrity. The findings reveal distinct responses between thermophilic HSP-encoding mRNA and mesophilic RNA, underscoring the adaptive mechanisms of thermophilic RNA under extreme conditions. These results contribute to a better understanding of RNA behavior under stress and establish a foundation for future applications in RNA-based diagnostics and biotechnology development.

Extremum Seeking Compensation And Quantification Of Position Sensor Offset Error In Speed-Controlled Permanent Magnet Synchronous Motors, Tessa Biondo

Masters Theses

Position sensor offset errors present a persistent challenge in speed-controlled permanent magnet synchronous motor drives operating under field-oriented control. Even small, constant offsets in the measured rotor position can reduce torque effectiveness, requiring increased current and voltage demand to maintain the commanded speed and resulting in degraded speed regulation performance across a range of operating conditions. These effects are particularly problematic in speed-controlled systems, where speed loop dynamics cause increased electrical effort and limit overall performance. Many existing detection and compensation approaches are either dependent on the system model, require offline calibration, or are primarily designed for torque-controlled operation. This …

Metabolic And Replicative Constraints On Pathogen Virulence: Isoleucine Catabolism In Shigella And Comparative Tanapoxvirus Replication In Cell Cultures, Benecia Angelica

Masters Theses

Pathogens survive by balancing metabolic demands with environmental challenges that shape their virulence and adaptability. Shigella flexneri, a highly infectious human pathogen responsible for severe diarrheal disease worldwide, utilizes branched-chain amino acid (BCAA) metabolism to withstand stress conditions encountered within the host environment. In this study, we explored the Shigella isoleucine catabolism pathway by knocking out four genes in the S. flexneri isoleucine catabolic pathway (ilvE, fadA, fadD, and acnB) and examining their metabolism and virulence. We found that the ilvE and acnB mutants displayed reduced metabolic activity and smaller plaque size, while the fadD mutant showed decreased invasion. In …

Distribution Mapping And Modeling Of The Invasive Japanese Knotweed, Jossalyn Rogalski

Masters Theses

This thesis investigates the distribution of invasive Japanese knotweed across Michigan. This plant poses significant challenges to land management due to its rapid growth, environmental impacts, and difficulty of removal once established. Using geographic information systems (GIS), remotely sensed data, and secondary environmental datasets, this research maps current infestations and analyzes key factors influencing the species’ growth and dispersal, such as soil composition, hydrology, land use, and a range of environmental variables, including climatic (annual mean temperature, temperature seasonality, annual precipitation, precipitation seasonality), elevation, vegetation and hydrological indices (NDVI, EVI, NDWI), percent tree cover, and distance to roads. Spatial analysis …

What Better Means: A Full-Length Album By Fake Baseball, Maggie Heeren

Masters Theses

No abstract provided.

Transient Mitigation In Dual Active Bridge Converter Using An Auxiliary Converter With High-Frequency Selective Control For Load Step-Down Condition, Sachith Dilshan Wijesooriya

Masters Theses

Dual Active Bridge (DAB) converters are widely utilized in applications such as electric vehicles, renewable energy systems, and solid-state transformers due to their high efficiency, galvanic isolation, and bidirectional power transfer capability. However, during rapid load transitions, DAB converters frequently exhibit significant output voltage overshoot and prolonged settling times, which increase device stress and adversely affect system reliability. This thesis proposes an auxiliary-circuit-based transient mitigation method to address these limitations. The auxiliary circuit, implemented as a bidirectional Buck–Boost stage, operates in Boost mode during load step-down events to absorb excess energy and suppress the resulting voltage overshoot. The design of …

Use And Awareness Of Online Resources In University Libraries, Rudraksha Gouridevi

Library Philosophy and Practice (e-journal)

The study of the use and awareness of online resources in university libraries. The study used a survey to collect primary data. A questionnaire was used to collect primary data from library users (undergraduate, postgraduate students, and research scholars) in selected university libraries, both public and Deemed University libraries, in Andhra Pradesh. The study covered four university libraries. Out of the total number of students and research scholars (25266) from the four universities. In this study, only 10 percent of the respondents were selected as the survey sample. The study indicated that the highest rate of users are accessing the …

A Unified Framework For Distributed And Resource-Aware Plant Disease Detection Using Federated And Adaptive Hybrid Deep Learning, Ticauris S. Stokes

Master's Theses

Plant disease detection in precision agriculture must operate under significant computational constraints, particularly in low-resource (LR) environments such as unmanned aerial vehicles (UAVs) and edge devices. While LR models enable efficient real-time inference, they often lack the representational capacity required to accurately detect complex disease patterns. In contrast, high-resource (HR) models achieve superior detection performance due to their deep architectures but are computationally expensive and unsuitable for direct deployment in resource-constrained settings. This fundamental trade-off between efficiency and accuracy presents a major challenge for practical agricultural monitoring systems.

To address the distributed nature of agricultural data, federated learning (FL) is …

Redeveloping Mississippi: A Case Study On Brownfields In Central & Southern Mississippi, Sahrah R. Yeroozedek

Master's Theses

Brownfields, or properties that are or possibly are contaminated with dangerous materials, represent a common obstacle for communities in Mississippi. The real or potential presence of contaminants at these sites often deters investors due to costly cleanup requirements (EPA, n.d. -b). The Environmental Protection Agency (EPA), through its Brownfield Revitalization Program, implemented guidelines for covering the costs and labor associated with the remediation of these properties. The EPA is not, however, responsible for redevelopment that supports long-term environmental and economic sustainability. Although the EPA maintains inventories of all Brownfields, there is also no comprehensive database of Brownfields and their current …

Evaluating Modern Neural Network Architectures For Suicide Prediction, Kyle Brown

Master's Theses

Suicide remains a leading cause of death among adolescents despite more access to healthcare information than ever before. Medical professionals struggle to make accurate diagnoses and catch warning signs with the overwhelming amount of data available. Machine learning algorithms, including neural networks, have previously been employed for this task, yet it remains an understudied domain.

This research aims to evaluate the capabilities of Multi-Layer Perceptron (MLP) and a selection of its successors, ResNet and MLP with a category embedding layer, at the task of predicting suicidal ideation among high-school students. This research finds ResNet to be the most capable at …

Best Practice: Ct-Guided Adaptive Radiotherapy Reference Planning On The Ethos Platform, Xenia Ray, Joseph Harms, Alex Price, Mu-Han Lin, Dennis N Stanley

2020-Current year OA Pubs

Online adaptive radiotherapy (ART) enables treatment plan modifications based on the patient's anatomy at each fraction, addressing limitations of conventional radiotherapy that relies on a static pre-treatment plan. CT-guided ART (CTgART), as implemented on the Varian Ethos platform, has gained increased clinical adoption over the past several years; however, its success is highly dependent on reference plan design due to limited on-table planning flexibility. As a result, clinicians creating and reviewing reference plans will greatly benefit from both understanding how upstream planning decisions affect the downstream adaptive process and proactively incorporating strategies that improve optimization robustness and efficiency on-treatment. We …

Adapt-On-Demand: Enabling Flexible And Scalable Adaptive Radiotherapy Through Workflow Automation, Sean Domal, Min Geon Choi, Justin Visak, Ruiqi Li, Taoran Li, Boon-Keng Kevin Teo, Xiaodong Zhao, Matthew Schmidt, Eric Laugeman, David Parsons, Yang Kyun Park, Shahed Badiyan, David Sher, Mu-Han Lin

2020-Current year OA Pubs

PURPOSE: CT-guided adaptive radiotherapy (CTgART) offers significant clinical benefits, but its utilization is often limited by resource demands and rigid workflows. This study presents a flexible and scalable "Adapt-on-Demand" (AOD) framework that integrates the adaptive capabilities of the Varian Ethos platform with the high-throughput IGRT delivery of the Varian Halcyon, supported by automated scripting.

METHODS: We developed an end-to-end dual-platform workflow that dynamically transitions between ART and IGRT delivery based on patient needs. Key components include Eclipse Scripting API (ESAPI) automation to streamline adapted plan ingestion from the Ethos Treatment Planning and Management System (TPMS) export directory, compatibility conversion for …

Statutory Backups For Endangered Constitutional Rights, Aaron-Andrew P. Bruhl

Faculty Publications

This Article concerns the phenomenon of “statutory backup rights,” or statutes that provide protections parallel to constitutional rights that are believed to be at risk of judicial abrogation. Proposals for backup rights gained attention in the aftermath of the Supreme Court’s 2022 decision in Dobbs v. Jackson Women’s Health Organization, which not only eliminated the constitutional right to abortion but called into question some other constitutional rights as well. Shortly after Dobbs, Congress enacted a limited statutory backup for same-sex marriage. States have created backup rights across a range of topics, some of which appeal mostly to those …

Computational Fluid Dynamics-Based Risk Stratification Of Modified Blalock-Taussig-Thomas Shunt Thrombogenicity, Yi Qiao, Ethan Penn, Jacob Miller, Scott Bugenhagen, Ram Rohatgi, Kelsey Mercer, Blaire Kulp, Jinli Wang, Pirooz Eghtesady, Guy M Genin, Edon J Rabinowitz, David Bark

2020-Current year OA Pubs

BACKGROUND: The modified Blalock-Taussig-Thomas shunt (mBTTS) is a critical palliative procedure for infants with single-ventricle physiology, but thrombosis-related occlusion affects 8% to 12% of infants and carries nearly 50% mortality. Meanwhile, existing antithrombotic strategies fail to address the hemodynamic factors driving thrombosis, highlighting the need for a deeper understanding of flow dynamics in shunt failure.

OBJECTIVES: This study aims to identify how mBTTS geometry influences hemodynamics and thrombosis risk, providing quantitative guidance for surgical planning and shunt design optimization.

METHODS: We used patient-specific imaging data to test 54 idealized mBTTS configurations, systematically varying key geometric factors: pulmonary artery diameter, shunt …

Sticky Charters? The Surprisingly Tepid Embrace Of Officer-Protecting Waivers In Delaware, Jens Frankenreiter, Eric L. Talley

Faculty Scholarship

This article examines the response to Delaware’s much-heralded 2022 legal reform that permitted corporations, for the first time, to adopt charter provisions exculpating corporate officers from liability for breaching their fiduciary duty of care. Contrary to widespread predictions that corporate actors would swiftly adopt officer exculpation provisions, our analysis — using both traditional and generative artificial intelligence (AI) methods — reveals a surprisingly low rate of uptake, over three years after the reform’s enactment.

Our study makes both methodological and substantive contributions. Methodologically, we present a novel application of large language models (LLMs) to identify and interpret technical clauses in …

The Federal Reserve’S Fiscal Agent Mandate And The Problem For Central Bank Independence, Lev Menand, Joshua Younger

Faculty Scholarship

The Federal Reserve is among the most powerful organs of government. It is tasked primarily with maintaining the growth of monetary and credit aggregates consistent with long-run maximum employment and price stability. This mandate is widely known and the subject of extensive public debate. But another mandate lies within the statute that is largely overlooked — to serve as fiscal agent of the United States. This distinct responsibility is older, and also important. This Article offers a comprehensive assessment of where the Fed’s two mandates overlap and occasionally sharply conflict: in the market for U.S. government debt. First, it identifies …

High-Performance Simulations Of Higher Representations Of Wilson Fermions, Vincent Drach, Sofie Martins, Claudio Pica, Antonio Rago

School of Engineering, Computing and Mathematics

We present HiRep v2, an open-source software suite for high-performance lattice field theory simulations with dynamical Wilson fermions in higher representations of SU(Ng) gauge groups. This new version fully supports graphics processing unit (GPU) acceleration, optimizing both gauge configuration generation and measurements for NVIDIA and AMD GPUs. HiRep v2 integrates improved gauge and fermionic lattice actions, advanced inverters, and Monte Carlo algorithms, including the (Rational) Hybrid Monte Carlo ((R)HMC) with Hasenbusch acceleration. It exhibits excellent scalability across multiple GPUs and nodes with minimal efficiency loss, making it a robust tool for large-scale simulations in physics beyond the Standard Model.

Together In Sync: Assessing Prosocial Behavior With A Full-Body Interactive Mixed Reality Experience, Sena Beste Ercan, Belen Gonzalez, Olga Gali, Gray Atherton, Liam Cross, Narcis Pares

School of Psychology

This study investigates how interpersonal synchrony (IPS) in full-body interactive Mixed Reality (MR) environments can shape children's prosocial behavior. We introduce DragonIce 2.0, a two-part MR game designed to induce synchronous or asynchronous group activity and assess their impact on prosocial behavior. To examine changes in affiliation (team belonging and peer liking) and collaboration (overt joint actions), we conducted a comparative study with children aged 9–10, using both system logs and self-report measures. The results highlight the importance of context, task structure, and perceived coordination in shaping social outcomes, offering insights into how interaction dynamics shape social engagement in immersive …

Pedagogical Strategies In Medical Laboratory Science Student Learning Outcomes: A Comparative Study Of Learner-Centered And Lecture-Based Instruction, Kasey Kuker

Medical Laboratory Science Independent Study Projects

Learner centered teaching (LCT) has gained prominence across the health sciences, yet its specific impact on Medical Laboratory Science (MLS) education remains underexamined. This comparative literature review synthesizes findings from various empirical studies to evaluate how active, learner centered pedagogies - such as flipped classrooms, blended learning, team based learning, simulation, gamification, and structured feedback - perform relative to traditional lecture based instruction. Across diverse MLS and allied health contexts, LCT consistently improved cognitive outcomes including examination performance, laboratory skill proficiency, and long term retention. Equally significant were gains in affective outcomes: heightened self efficacy, motivation, engagement, teamwork, and professional …

Evaluation Of Radar-Derived Polarimetric Precipitation Estimates For Extreme Rain Events Using A Dense Network Of Rain Gauges, Bong Chul Seo, Witold F. Krajewski, James A. Smith, Alexander V. Ryzhkov

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The study evaluates radar-based quantitative precipitation estimations (QPEs) for 10 extreme rain events that occurred between 2013 and 2019 in the Kansas City metropolitan area, United States. These precipitation estimates were derived at hourly and approximately 0.5-km scales using two polarimetric QPE algorithms}one based on specific attenuation (A) and the other on specific differential phase (KDP)} for the study area covered by two overlapping radars in Topeka, Kansas, and Kansas City, Missouri. The polarimetric QPE assessment for extreme rain events was motivated by improved flood forecasting and precipitation frequency analysis. The analysis utilizes ground reference observations from a dense network …

Smart-Charge: Stable Matching Algorithm For Electric Vehicle Charging In Subscription-Based Models, Arindam Khanda, Anurag Satpathy, Sajal K. Das

Computer Science Faculty Research & Creative Works

The transition from internal combustion engine (ICE) to electric vehicles (EVs) introduces several challenges, including limited charging infrastructure, unpredictable charging wait times, and inefficient selection of charging points (CPs). To address these issues, we propose SMART-CHARGE, a framework that efficiently assigns EVs to CPs through an edge-level coordination mechanism within each service region, enforced by roadside units (RSUs). Operating under a novel subscription-based charging model, SMART-CHARGE enforces predefined charging time limits via service-level agreements (SLAs). The EV-CP assignment problem is formulated as a one-to-many matching game that captures EV user preferences. To construct bounded yet efficient EV coalitions at each …

Leading Ai Adoption In Organizations: Introducing A Behavioral Human-Centered Approach, Shane Schweitzer, Devesh Narayan, Jack Mcguire, David De Cremer

Research Collection Lee Kong Chian School Of Business

Initiatives to implement AI technologies in organizations fail at an alarming rate. We argue that leading the adoption of AI is not a simple engineering exercise but rather represents a behavioral exercise where change management principles—the process by which organizations plan, implement, and embed changes in practices—are employed. However, many AI initiatives in business focus predominantly on the AI systems themselves, assuming humans will fall in line. To solve this, we integrate ideas from change management with scholarship on human-centered artificial intelligence to offer a behavioral approach that accounts for the impact of AI adoption on humans at all stages …

Inequity In Education Through The Lens Of Social Studies Curriculum Using Studies Weekly, Emma Roy

Honors Theses

This study examines the representation of the Civil Rights Movement within the Studies Weekly elementary social studies curriculum and evaluates its alignment with culturally relevant pedagogy, critical race theory, and civic education frameworks. Through a qualitative content analysis of twelve assessment questions and accompanying lesson materials, the findings reveal consistent patterns of oversimplification, limited historical nuance, and an overreliance on factual recall. Key themes including systemic racism, collective activist, and diverse historical perspectives are minimized or omitted altogether. These omissions contribute to what scholars identify as curriculum bias, where dominant narratives are privileged while marginalized voices are unheard. The results …

The Privacy Paradox: How Does Concern About Privacy Impact Actions In The Digital Age?, Julia Laduke

Honors Theses

The privacy paradox occurs when people claim to care about their digital privacy, but do not take actions to keep their data from being spread across the internet. This study examines college students, being primarily Generation Z, and their concerns and actions regarding digital privacy and security. A survey of 15 college students, 7 in humanities and 8 in STEM, was used to analyze their thoughts and concerns about their digital privacy. This survey also asked whether they took actions concerning their privacy, and if so, what tools they used to protect it. The results show that about 50% of …

Calibrating Human Trust In The Age Of Generative Ai: An Examination Of Ethical And Social Challenges, Abigail M. Mondido

Honors Theses

Generative AI (GenAI), a set of AI technologies with the ability to generate original, human-like outputs, is beginning to transform the way that information is distributed, composed, published, obtained, analyzed, and consumed. GenAI has seen massive adoption by internet users, businesses, and organizations in recent years despite the persistence of major ethical concerns and social implications. In particular, existing research has identified multiple critical trust-related issues associated with AI in general, including widespread mistrust and distrust, overreliance on AI, and a lack of trustworthiness of AI. There remains a need for a broader understanding of these issues as they relate …

Hardware Integration Of Preamble Based 802.11a Wi-Fi Frame Location For Usrp Radios, Nicholas P. Margavio

Honors Theses

Internet of Things (IoT) refers to a network of devices that can exchange information over the internet, and its deployments are projected to reach 30.9 billion by 2025, with most lacking encryption. One solution for these unencrypted devices is to use Specific Emitter Identification (SEI). SEI exploits distinct, native, and unintentional features of a radio’s signal to identify it and enhance wireless network security uniquely. For example, IEEE 802.11a Wireless-Fidelity (Wi-Fi) radio waveforms have a fixed structure that occupies the first 16 microseconds, from which SEI features can be extracted and used to identify the originating radio. By removing the …

Creative Nonfiction Essays, Colby S. Langley

Honors Theses

To write about the present with any authority requires a keen eye for the past. To write from our lives into meaningful creative nonfiction requires a firm understanding that experience is the composite of life experience blending into the current moment. The writing is then drawn irreversibly towards emotion: indulgent and oppressive. The extremity of emotion dictates the difficulty of transcribing the experience onto the page, and violence is a source of both extreme emotion and experience. It is important to note that I am primarily considering personal violence for this essay, while societal and institutional violence have their own …