Digital Commons Network^™

A Formative Assessment Of Traditional Undergraduate Students’ Use Of An Ai Learning Platform In Stem Courses, Dane C. Joseph, Rick Muthiah

Faculty Publications - College of Education

A small to midsized university supported science, technology, engineering, and mathematics (STEM) education by partnering with a reputable online learning company to provide students and faculty access to artificial intelligence powered textbook problem sets and chatbots. An in-house formative assessment study was conducted in Fall 2024 and Spring 2025 to understand how traditional undergraduate students engaged with the platform. Quantitative results suggests that the general population did not utilize it as much as initially expected. Qualitative findings imply that students might have preferred alternative platforms like ChatGPT, though this may have had nothing to do with the company itself. Overall, …

When Words Flow Like Water: How The Enbridge Line 3 Pipeline Environmental Impact Statement Failed To Prevent Hydrogeologic Harm In Minnesota, Carly Gutzmann

Journal of Earth and Life Science

For the aquifers of Minnesota, the environmental impact statement (EIS) was a promise of protection that never left the page. An environmental impact statement is meant to be an aid in the decision making process in order to ensure that projects consider potential environmental harms that may occur. However, they are often used instead as another regulatory box to check, rather than as active considerations when planning. As such, a project plan can be flawed from the start—if project developers only consider environmental impacts after they have already put considerable time, effort, and funding into their project as-is, they may …

Largemouth Bass Diet Changes Through The Summer In Central Minnesota, Ethan Kunz

Journal of Earth and Life Science

Largemouth Bass Micropterus nigricans is one of the most widespread fish species in the world, due in part to human introduction for angling. Largemouth Bass are opportunistic predators that will consume the largest prey they can often find; however, it has been shown that their diet mainly consists of invertebrates such as crayfish, with less focus on other fish species. This research aimed to determine what the Largemouth Bass diets in Central Minnesota consist of, and how they may change from the beginning of summer through the beginning of fall. A total of 174 Largemouth Bass were sampled from late …

Virtual Reality In Education: A Thematic Literature Review, Aleksandra Mbuyi

All Graduate Theses, Dissertations, and Other Capstone Projects

This literature review combines findings from approximately 40 academic papers on virtual reality in education for readers to gain a broad, structured, and organized understanding of the topic without having to read each of the 40 papers. While researchers define VR in slightly different ways, most definitions focus on VR's ability to create digital simulations of real or imagined environments (Makransky & Lilleholt, 2018). The review is organized around nine themes: conceptualization of VR, pedagogical foundations, instructional design, learning outcomes, learner experience, disciplinary applications, technological constraints, ethics and inclusion, and emerging trends. The findings suggest that VR shows the most …

Captive Model Test For Hydrodynamic Derivatives Of Ship Maneuvering In Regular Head Waves, Pin-Yuan Huang, Zih-Yao Lin, Tsung-Yueh Lin, Fu-En Lee, Yan-Wei Lai

Journal of Marine Science and Technology–Taiwan

The motion of ship in wave can be discussed in seakeeping and maneuvering. In model tests, the former is found by the motion response of waves while the latter requires captive model test to acquire hydrodynamic derivatives. The hydrodynamic derivatives in waves are discovered to be different from those in calm water. To understand better the behavior of maneuverability in waves, maneuvering tests in a wide range of waves are performed in this study. This study presents an experimental investigation into the maneuvering behavior of a container ship in regular waves, covering a wide range of wavelengths from half to …

Exploring Mesoproterozoic Marine Redox States In A Young Banded Iron Formation From The Needle Mountains, Jaya Sharma, Brenhin Keller

Wetterhahn Science Symposium Posters

Banded iron formations (BIF), as redox-dependent chemical sedimentary rocks, have served as proxies for marine and atmospheric oxygen and iron conditions throughout Earth history. While abundant in the Archean and early Proterozoic, the widespread deposition of BIFs declined following the Great Oxidation Event, as oxygenated surface waters prevented the accumulation of ferrous iron. However, the Needle Mountains, located in southwestern Colorado, houses an anomalously young BIFs deposited between 1.786±10 - 1.801±6 Ga given existing geochronology. Here, we use rare earth element (REE) systematics, bulk chemistry, and petrographic analysis to determine the depositional conditions under which this BIF was formed. We …

Probing Feni Alloys With Atomic Precision, Scipio Han, Kaushik Rajkumar Jayaprabha, Xin Qi

Wetterhahn Science Symposium Posters

We compared EAM and MEAM atomic potentials for modeling FeNi (tetrataenite), a rare 50/50 alloy found in meteorites. Picking 4 potentials, we calculated minimum lattice constants and order-disorder transition temperatures. MEAM potentials accurately predicted the experimental transition temperature, confirming that MEAM better captures FeNi's directional bonding.

Risky Decision-Making Under Uncertainty, Suyoung Yoo, Jae Hyung Woo

Wetterhahn Science Symposium Posters

This research project aims to discover how a person’s brain continuously learns about its changing environment and how those memories dynamically alter their subsequent willingness to take risks. By testing 73 participants on a two-stage computer module, the study evaluates whether humans evaluate risk absolutely or relatively to their historical surroundings. In Stage 1, participants use reinforcement learning to track a hidden, shifting "lucky room" context. In contrast, in Stage 2, they face explicit two-option gamble cards in which they must weigh different point amounts and win percentages. Computational maximum likelihood estimation proved that a Subjective Utility (SU) model, which …

Carbon Storage In Headwaters Can Respond Rapidly To Climate Change, Maddie Benello, Carl Renshaw, Joshua Landis

Wetterhahn Science Symposium Posters

Headwater streams play a critical role in the global carbon cycle, serving as significant sites of carbon storage. While there have been recent efforts to quantify carbon storage in headwater streams in the western United States, there remains limited understanding of both the volume and timescale of carbon storage in northeastern forests which often have extensive logging and agricultural histories. Here, we quantify the carbon stock, residence time, and flux of a zero-to-first order headwater stream in Charles Downer State Forest (DF), VT using novel fallout radionuclide (FRN) chronometry. We find DF headwaters have a carbon stock of 66.2 Mg …

Magnetic Anisotropy Engineering In Rare-Earth-Free Iron-Based Magnetic Materials, Pramanand Joshi

Physics Dissertations - Archive

The development of high-performance, rare-earth-free hard magnetic materials is critical for next-generation energy, information, and spin-based technologies. This dissertation investigates structure-property relationships in iron-based magnetic systems, including iron carbides, Fe-Co-B boride alloys, hexaferrites, and FeCo nanostructures, synthesized via chemical and metallurgical routes. Through controlled synthesis and comprehensive structural and magnetic characterization, this work demonstrates that magnetic anisotropy, coercivity, and thermal stability can be systematically controlled through morphology design, compositional tuning, microstructural refinement, and interparticle interaction modulation.

Morphology-driven enhancement of magnetic properties, particularly coercivity and blocking temperature, is established in phase-pure Fe₅C₂ nanostructures. By precisely controlling particle geometry, …

Applications Of Doppler Broadening Spectroscopy For The Characterization Of The Surface And Near Surface Of Two-Dimensional Heterostructures, Hany M. Mahdy

Physics Dissertations

This dissertation describes experiments and the analysis of Doppler broadening spectroscopy applied to metal surfaces (Cu, Ag, Au), graphene/Cu heterostructures, and SiGe heterostructures, with particular emphasis on the development of new approaches for extracting quantitative information from annihilation spectra.

The first part establishes the capability of Doppler broadening spectroscopy, particularly coincidence Doppler broadening (CDB), as a surface-sensitive technique. Measurements on clean and adsorbate-covered Cu, Ag, and Au surfaces demonstrate that Doppler-broadened annihilation spectra retain element-specific signatures from the topmost atomic layer. New analysis methods based on ratio-curve modeling enable identification and quantification of sub-monolayer adsorbates, including sulfur, oxygen, selenium, and …

Timing, Orbital Pacing, And Provenance Of Late Paleogene Loess In The Western United States, Xiangwei Guo

Earth & Environmental Sciences Dissertations - Archive

This project examines the timing of loess emergence, the nature of the fluvial–eolian transition, orbital forcing on dust accumulation, and sediment recycling in the late Paleogene White River Formation (Group) of Wyoming and Nebraska, western United States. By integrating traditional sedimentology with machine learning–enhanced grain-size analysis, this research shows that loess accumulation at Flagstaff Rim in central Wyoming began during active fluvial deposition at approximately 35.8 Ma, indicating a gradual transition from fluvial to eolian conditions. Machine learning complements field sedimentology and granulometric interpretation while enabling the development of new, testable hypotheses. Extending this framework eastward to Toadstool Geologic Park …

Occurrence Of Microplastics In The Urban Air And Water Systems And Associated Exposure Risks, Jenny K. Nguyen

Earth & Environmental Sciences Theses - Archive

Microplastics (MP) pollution is an emerging health concern that affects humans and the environment. Urban areas are high exposure zones due to consistent anthropogenic and industrial activity. With air and water as important MP transport and exposure pathways, monitoring and estimating their human exposures are necessary. Air samples were collected from Dallas-Fort Worth (DFW) and Houston in Texas and Cusco, Peru and water samples were from Tarrant County (DFW), Texas. The samples were analyzed using the pyrolysis-gas chromatography/mass spectrometry (Pyr-GC/MS) and the EDI (estimated daily intake) of inhalation and ingestion (normal and high exposures) were calculated. PS, PP, PE, PVC, …

Sink Or Swim: Standard Swim Lessons As A Novel Intervention For Reducing Generalized Anxiety In Children, Joseph S. Brier

Selected Full Text Dissertations, 2011-

Anxiety disorders are the most common mental health conditions in children ages 6–18, with an estimated worldwide prevalence of 6.5% (Rapee et al., 2023; Polanczyk et al., 2015). Although psychological interventions are highly effective, only about 60% of children with anxiety receive professional help within 12 months of symptom onset (Ghandour et al., 2019). Swimming lessons may represent a widely available, low-cost, and naturally motivating alternative intervention for anxiety. Learning to swim targets mechanisms responsible for the development and maintenance of anxiety, including avoidance and maladaptive cognitions (Mowrer, 1951; Dymond & Roche, 2009), and emerging evidence suggests that treating one …

Digital Redlining In The Smart City: Artificial Intelligence, Housing Law, And Structural Urban Inequality, Spurthi Nrusimhadevara

Undergraduate Scholarship and Creative Works

Artificial intelligence is increasingly used in urban housing systems, where it shapes decisions about tenant screening, rent pricing, lending, zoning, and neighborhood investment. Although these tools are often promoted as efficient and impartial, they frequently rely on historical data that reflect racial, economic, and spatial inequality. As a result, AI systems can reproduce discriminatory outcomes even when protected characteristics are not directly used. This paper examines digital redlining in the smart city and argues that algorithmic housing tools mirror long standing structural inequities that raise significant concerns under fair housing and civil rights law. It evaluates how automated screening, predictive …

2026 Conference On Undergraduate Research And Engagement Program Guide, Oseel

CURE Proceedings

Full program for the 2026 Conference on Undergraduate Research and Engagement with full listing of sessions presented

Performance Of Renal Artery Doppler Compared With Umbilical Artery Doppler In Growth Restricted Fetuses, Alya Kamal Ibrahim Anwar, Abdel-Aziz Abdel-Ghani Elrefae, Khaled Samir Othman, Alhussein Ahmed Mohamed

Mansoura Medical Journal

Background:

Fetal growth restriction (FGR) is a major contributor to perinatal morbidity and mortality and is frequently associated with placental insufficiency. Doppler ultrasonography of blood flow is widely utilized in the assessment and follow up of pregnancy considered to be at high obstetric risk.

Objective:

This study aimed to compare the diagnostic performance of umbilical and fetal renal artery Doppler indices in prediction and monitoring of fetal growth restriction.

Methods:

    This prospective observational study included pregnant women with fetuses whose EFW <10^th percentile for gestational age. A total of 90 women with suspected FGR were recruited. All participants underwent detailed …

First Study Of The Nuclear Response To Fast Hadrons Via Angular Correlations Between Pions And Slow Protons In Electron-Nucleus Scattering, The Clas Collaboration, S. J. Paul, M. Arratia, H. Hakobyan, W. Brooks, A. Acar, P. Achenbach, J. S. Alvarado, W. R. Armstrong, N. A. Baltzell, L. Barion, M. Bashkanov, M. Battaglieri, F. Benmokhtar, A. Bianconi, A. S. Biselli, F. Bossù, S. Boiarinov, K. -T Brinkmann, W. J. Briscoe, V. Burkert, T. Cao, D. S. Carman, P. Chatagnon, H. Chinchay, G. Ciullo, P. L. Cole, A. D'Angelo, N. Dashyan, R. De Vita, A. Deur, S. Diehl, C. Djalali, R. Dupre, H. Egiyan, A. El Alaoui, L. Elouadrhiri, P. Eugenio, M. Farooq, S. Fegan, A. Filippi, C. Fogler, G. Gavalian, G. P. Gilfoyle, R. W. Gothe, B. Gualtieri, M. Hattawy, F. Hauenstein, T. B. Hayward, M. Hoballah, M. Holtrop, Yu-Chun Hung, Y. Ilieva, D. G. Ireland, E. L. Isupov, D. Jenkins, H. S. Jo, D. Keller, M. Khandaker, A. Kim, V. Klimenko, I. Korover, A. Kripko, V. Kubarovsky, L. Lanza, S. Lee, P. Lenisa, X. Li, D. Marchand, V. Mascagna, B. Mckinnon, T. Mineeva, V. Mokeev, E. F. Molina Cardenas, C. Munoz Camacho, P. Nadel-Turonski, T. Nagorna, K. Neupane, S. Niccolai, G. Niculescu, M. Osipenko, A. I. Ostrovidov, M. Ouillon, P. Pandey, M. Paolone, G. Niculescu, M. Osipenko, A. I. Ostrovidov, M. Ouillon, P. Pandey, M. Paolone, L. L. Pappalardo, R. Paremuzyan, E. Pasyuk, C. Paudel, W. Phelps, N. Pilleux, S. Polcher Rafael, L. Polizzi, J. W. Price, Y. Prok, A. Radic, T. Reed, J. Richards, M. Ripani, J. Ritman, G. Rosner, S. Schadmand, A. Schmidt, J. Richards, M. Ripani, J. Ritman, G. Rosner, S. Schadmand, A. Schmidt, R. A. Schumacher, Y. Sharabian, S. Shrestha, E. Sidoretti, D. Sokhan, N. Sparveris, M. Spreafico, S. Stepanyan, I. I. Strakovsky, S. Strauch, M. Tenorio, F. Touchte Codjo, R. Tyson, M. Ungaro, P.S. H. Vaishnavi, S. Vallarino, C. Velasquez, L. Venturelli, H. Voskanyan, E. Voutier, Y. Wang, D. P. Watts, U. Weerasinghe, X. Wei, M. H. Wood, L. Xu, Z. Xu, M. Zurek

Physics Faculty Publications

We report on the first measurement of angular correlations between high-energy pions and slow protons in electron-nucleus (eA) scattering, providing a new probe of how a nucleus responds to a fast-moving quark. The experiment employed the CLAS detector with a 5-GeV electron beam incident on deuterium, carbon, iron, and lead targets. For heavier nuclei, the pion-proton correlation function is more spread-out in azimuth than for lighter ones, and this effect is more pronounced in the πp channel than in earlier ππ studies. The proton-to-pion yield ratio likewise rises with nuclear mass, although the increase appears to saturate for …

Supercharging Simulation-Based Inference For Bayesian Optimal Experimental Design, Samuel Klein, Willie Neiswanger, Daniel Ratner, Michael Kagan, Sean Gasiorowski

Physics Faculty Publications

Bayesian optimal experimental design (BOED) seeks to maximize the expected information gain (EIG) of experiments. This requires a likelihood estimate, which in many settings is intractable. Simulation-based inference (SBI) provides powerful tools for this regime. However, existing work explicitly connecting SBI and BOED is restricted to a single contrastive EIG bound. We show that the EIG admits multiple formulations which can directly leverage modern SBI density estimators, encompassing neural posterior, likelihood, and ratio estimation. Building on this perspective, we define a novel EIG estimator using neural likelihood estimation. Further, we identify optimization as a key bottleneck of gradient based EIG …

A Structured Review Of Emerging Prompt Instability Indices (Piis) To Evaluate The Reproducibility Of Prompt-Driven Image Segmentation Models., Adib Shafipour, Deevakar Rogith, Zulfiia Ditto, Hien V Tran, Katie Stinson, Toufeeq Ahmed Syed

Faculty, Staff and Student Publications

Prompt-aware image segmentation has introduced new flexibility by allowing models to incorporate user-provided cues, such as points, boxes, or text prompts, to guide object delineation across diverse imaging domains. This flexibility introduces a fundamental challenge: ensuring segmentation results remain reproducible when prompts are altered. Minor variations in prompts produce substantially different outputs, raising concerns about the reliability and scientific validity of research and clinical applications. This paper conducts a structured review of emerging Prompt Instability Indices (PIIs), quantitative measures developed to assess the reproducibility of prompt-driven segmentation models. A systematic search of PubMed and arXiv (2020-2025) identified relevant studies, analyzed …

A Hybrid Vit-L/32-Maxvit-L Architecture With Adaptive Gated Fusion For Multiclass Gastrointestinal Disease Detection And Multi-Method Post-Hoc Explainability, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Introduction: Accurate detection of gastrointestinal diseases from endoscopic images remains challenging due to substantial inter-class similarity, intra-class variability, and heterogeneous lesion presentation. While convolutional neural networks (CNNs) effectively capture fine mucosal textures, their limited receptive field restricts global contextual reasoning. Conversely, transformer architectures model long-range dependencies but may underrepresent localized structural detail.

Methods: This study proposes a dual-branch hybrid transformer framework that integrates global token-level reasoning from ViT-L/32 with hierarchical spatial modeling from MaxViT-L. An adaptive gated fusion mechanism is introduced to dynamically regulate the relative contribution of local and global representations on a per-sample basis, enabling content-aware cross-scale integration. …

Ai Privacy And Security In Healthcare: A Systematic Literature Review, Diane Dolezel, Karima Lalani, Valerie Watzlaf, Kerryn Butler-Henderson, Elise V Z Lambert, Mary Morton, Jamie Sand, David Gibbs, Susan Fenton

Faculty, Staff and Student Publications

Background: Artificial intelligence is expanding into telemedicine and telerehabilitation, yet significant privacy and security concerns persist.

Scope: To synthesize empirical evidence on privacy and security approaches in health care, particularly those relevant to distributed home care.

Methodology: A systematic review identified 80 studies (2019 to 2025), and Latent Dirichlet Allocation (LDA) topic modeling characterized the privacy and security themes.

Results: Sixty-six studies addressed privacy, only seventeen addressed security, and three studies addressed both. LDA identified four themes: patient data privacy, federated learning for medical imaging, encrypted training and secure computation, and healthcare data governance. Most studies emphasized privacy-preserving approaches, like …

Provgen: A Privacy-Preserving Approach For Outcome Validation In Genomic Research, Yuzhou Jiang, Tianxi Ji, Erman Ayday

Faculty, Staff and Student Publications

As genomic research has grown increasingly popular in recent years, dataset sharing has remained limited due to privacy concerns. This limitation hinders the reproducibility and validation of research outcomes, both of which are essential for identifying computational errors during the research process. In this paper, we introduce PROVGEN, a privacy-preserving method for sharing genomic datasets that facilitates reproducibility and outcome validation in genome-wide association studies (GWAS). Our approach encodes genomic data into binary space and applies a two-stage process. First, we generate a differentially private version of the dataset using an XOR-based mechanism tailored to biological characteristics. Second, we restore …

Understanding Circulant Permutation To Extend The Cminhash Estimator, Keegan Kang, Avery Hood, Benedict H.W. Wong

Faculty Conference Papers and Presentations

CMinHash promises a new direction for designing MinHash algorithms with reduced variance and storage space via circulant permutations. However, the original variance analysis is difficult to extend to other MinHash estimators. We present a new approach that gives explicit and easily comparable approximate variance expressions, and use it to analyze the Minner estimator. Numerical experiments show that our variance expression matches the empirical mean square error (MSE) of estimates. Our work thereby demonstrates how to apply circulant permutation to other MinHash estimators and compute their approximate variance.

Ethnonationalism By Algorithm, Spencer A. Overton

GW Law Faculty Publications & Other Works

In the United States, artificial intelligence (“AI”) policy has become a critical arena for ethnonationalism—an ideology that defines national belonging through shared ancestry, culture, and language. Amid rapid demographic change and cultural anxiety, the second Trump Administration has harnessed federal AI governance to advance its broader agenda of dismantling diversity—most notably through Executive Order 14,179, “Removing Barriers to American Leadership in Artificial Intelligence” and related legal directives. By eliminating safeguards against algorithmic bias and recasting equity as an ideological threat to innovation, the policies facilitate exclusion under the guise of neutrality. These moves are not merely deregulatory; they represent a …

The Soft Target Curriculum: Using Nigeria's 2026 Cascading Breaches To Teach Foundational Cybersecurity Failures, Chinedum Amaechi, Doris Asogwa, Samuel Alade

Journal of Cybersecurity Education, Research and Practice

SourceURL:file:///home/amaechi/Documents/ *Journal of Cybersecurity Education, Research and Practice (JCERP)*. **Title:** The Soft Target Curriculum: Using Nigeria's 2026 Cascading Breaches to Teach Foundational Cybersecurity Failures.docx

Background: Between March and April 2026, a single threat actor allegedly compromised four Nigerian institutions across banking, payment infrastructure, government registry, and power distribution sectors. The breaches exposed millions of records and disrupted critical services, yet all four exploited elementary vulnerabilities taught in introductory cybersecurity courses. Objective: This pedagogical case study analyzes the four breaches as a unified phenomenon of "normalized negligence" and provides ready-to-use teaching materials for cybersecurity educators. Methods: Using open-source intelligence analysis of …

Schelling & Spinoza, Michael Vater

Philosophy Faculty Research and Publications

Schelling is notorious for having a fluid vision of systematic philosophy and its methods. In an age where philosophy is expected to result in one or two books, not years of discussions with students and colleagues--and certainly not a distillation of one’s way of life--Schelling’s thought has been called protean or restless, or in Hegel’s snarky verdict “an education pursued in public.” The same could be said of Socrates. But there is a truth in these comments; it is difficult to find in fifty-six years of publications, addresses and abandoned manuscripts the single argument that is Schelling’s philosophy. What provokes …

Most Utahns Support Affirming Rights Of Great Salt Lake, Sarah A. Woodbury, Kirsten Vinyeta, Jessica D. Ulrich-Schad, Darren Parry

Utah People and Environment Poll (UPEP)

A combination of water diversions and climate change-related shifts have led to record low water levels and increasing salinity at Great Salt Lake (GSL) (1, 2).  Low water levels not only impact those directly dependent on the lake—brine shrimpers and migratory birds, for example—but also the millions of individuals living along the Wasatch Front. Increasing toxic dust levels from exposed lakebed and potential shifts to snowpack in the region are of primary concern. Children and marginalized communities are especially vulnerable to the respiratory health impacts of toxic dust (3, 4). According to the 2023 Utah People & Environment Poll (UPEP), …

Summary Of Beaver And Iron Counties’ Water Conservation And Provisioning Strategies, Lisa Welsh, Joanna Endter-Wada, Burdette Barker, Bethany Neilson, Anna Mcentire, Melissa Stamp, Brian Steed

Reports

This report focuses on water conservation and provisioning strategies that both Beaver and Iron Counties are pursuing to help meet their citizens’ current and future water needs and to contribute to statewide water conservation efforts. It primarily relies on publicly available data from state, county, conservancy district, and city databases, plans, and documents. The purposes of this document are to provide regional context for understanding water use in Beaver and Iron Counties and to describe water conservation strategies that can influence the trajectories of their future water use. 

In both Beaver and Iron Counties, agriculture remains the primary user of …

Polysemicolon; Novice Programmers And Java Keywords, Briana C. Bettin

Michigan Tech Publications

Most industrial programming languages leverage the English language for reserved keywords – words which a program compiler recognizes as specific execution commands. The divide between expert and novice programmers showcases an intriguing middle-ground by which the polysemy of many keywords becomes revealed. This essay explores a sampling of the multitude of keyword interpretations that a novice programmer may derive from the Java language’s syntactic style and keywords specifically, and how the polysemy of both “English” and “code” meanings to these terms affects the novice-expert programmer transition.The transition from novice to expert, and the mapping of the career of metaphor to …