Digital Commons Network^™

Emergent Storylines That Influence Positions And Mathematical Status In Collaborative Small-Group Proof Activity, Brittney M. Ellis, Tenchita Alzaga Elizondo

School of Mathematical & Statistical Sciences Faculty Publications

In this paper, we used positioning theory to examine storylines that emerged in students’ discourse as they collaborated on a proof construction task. We purposefully selected a case of group work from an inquiry-oriented introduction to proof course as prior analyses showed it was highly collaborative (Alzaga Elizondo, 2022), yet power dynamics seemed unbalanced. We hypothesized that positioning theory could provide a useful lens to interrogate such power dynamics. Through this analysis, we identified several implicit storylines that influenced the interaction related to the nature of proofs, the nature of mathematics, writing proofs, the role of an external authority, …

Czts Nanoparticles As Cost Efficient Catalysts For Producing Green Hydrogen, Aidan Hau

Undergraduate Research Symposium (2026- )

Hydrogen gas is produced to be used as feedstock, fertilizer, and fuel. Traditional hydrogen production produces “gray hydrogen” in a process that uses and releases fossil fuels into the atmosphere. One way to produce “green” hydrogen is with renewable energy technologies that produce hydrogen gas using electrolysis without emitting fossil fuels. In electrolysis, the hydrogen atoms bonded to oxygen in a water molecule are split to produce hydrogen. A typical catalyst for this process would be a precious metal like palladium, which can be costly. In order to make green hydrogen production more affordable, an alternative catalyst composed of CZTS …

Characterizing The Macroinvertebrate Community In Crissy Lake, An Impounded Reach Of The Pomme De Terre River, Prior To Channel Modification, Max Lundgren

Undergraduate Research Symposium (2026- )

The aging Crissy Lake Dam, on the Pomme de Terre River in Morris, has altered natural stream flow and impeded upstream passage of several fish species since 1939. In late 2026 the Minnesota Department of Natural Resources will replace the dam with stone arch rapids and facilitate river channel formation upstream of the dam. In order to evaluate the river modification project, we characterized the macroinvertebrate community in Crissy Lake, the impoundment upstream of the dam before implementation of channel modification. In September 2025 we collected benthic macroinvertebrates from two sets of Ekman grab samples. We found 12 taxa (average …

Image Processing Technique To Find The Burden Rock Velocity And Its Interdependency On Bench Blasting Parameters – A Case Study, Channabassamma N, Akhil Avchar, Sahas V Swamy, Vedala Rama Sastry, Hemant Agrawale

Journal of Sustainable Mining

In any rock engineering or excavation project, optimizing blast design is essential for controlling post-blast phenomena such as flyrock, burden throw, and burden rock velocity (BRV). This study investigates the dynamic response of BRV in bench blasting operations by employing a high-speed camera and ProAnalyst software to quantify rock displacement. The relationships between BRV and key blast parameters, number of holes (NH), explosive charge per hole (EPH), total explosive charge (TEC), stiffness ratio (K), and stemming ratio (STR), were analyzed to identify linear or non-linear trends. Non-linear trends, …

Uhplc-Ms/Ms-Based Method Development And Validation For Multiclass Pesticide Residues In Food: Risk Assessment And Water Remediation, Muhammad Usman

Thesis/ Dissertation Defenses

The increasing use of pesticides in agriculture necessitates the development of sensitive and reliable analytical methods for accurate detection, risk assessment, and remediation. This dissertation focuses on the development and validation of advanced UHPLC-MS/MS-based methodologies for the determination of multiclass pesticide residues and their metabolites in complex food matrices, along with the remediation of organophosphorus pesticides in aqueous systems. Efficient sample preparation techniques, including liquid–liquid extraction (LLE) and QuEChERS-based dispersive solid-phase extraction, were optimized to reduce matrix interferences and enhance analytical performance. The developed methods were validated according to international guidelines (SANTE/11312/2021) and demonstrated excellent performance. Recoveries ranged between 70–120%, …

Modeling Flood-Induced Cascading Disruptions In The Indian Electronics Supply Chain Using Influence Network Analysis, Surendra Orupalli, Hiroki Sayama

Northeast Journal of Complex Systems (NEJCS)

This study investigates flood induced disruptions in the Indian electronics supply chain using influence network analysis. Monsoon floods are recurring hazards that significantly impact economic activities, logistics, and industrial productivity. This study integrates district-level rainfall data (2020 to 2025) with supply chain network models to quantify cascading failures. The methodology applies rainfall thresholds (≥ 300 mm/month) to identify flood-prone districts and constructs a stochastic influence matrix representing inter-firm dependencies. Flood propagation dynamics are modeled iteratively with a propagation coefficient (α = 0.6) and convergence threshold (ε = 10⁻⁴). The resulting disruption profiles are mapped onto company-level revenues calibrated to India-specific …

Brown Pelican (Pelecanus Occidentalis) Groundings On A Four-Lane Divided Highway In South Texas: A Comparative Study Using Citizen Science, Bradley Evan Beer, Kevin W. Ryer, Md. Saydur Rahman, John H. Young Jr., Richard J. Kline

School of Integrative Biological & Chemical Sciences Faculty Publications

The population of the once-endangered brown pelican (Pelecanus occidentalis) has increased over the past several decades and is now considered fully recovered. However, in south Texas, the combined effects of weather patterns, transportation infrastructure, and brown pelican biology have led to road mortalities on State Highway 48 (SH 48) at the Carl “Joe” Gayman Bridge. To mitigate these mortalities, the Texas Department of Transportation modified traffic barriers on SH 48. We aimed to examine the effect of the barrier change and determine which weather variables influence brown pelican groundings on SH 48. Citizen scientists monitored sections of SH …

Unlocking Inexpensive Training Through Overcoming Weaknesses In Dataset Distillation, Connor Wilhelm

Theses and Dissertations

Dataset distillation is a nascent technique that promises accelerated neural network training. In particular, distillation produces a highly compressed dataset that can train a neural network in as little as a single optimization step. However, distillation has not been adopted for real-world use cases due to weaknesses, such as poor approximation of the original task, unclear interpretability, high costs of the initial distillation, and poorly elaborated use cases. Here, we present five papers that advance task distillation towards real-world adoption. The papers focus on: distilling reinforcement learning environments, interpreting distillation-produced datasets, improving distillation performance using ensembling, examining distillation's generalization to …

Umm (Ultimate Memory Manager): A Note–Taking App Built From Scratch, Caleb M. Early

ASPIRE 2026

For my honors project, I’m building UMM, an advanced note-taking application built entirely from scratch. I’m someone who takes many notes and primarily uses OneNote and Notion, but over time have found myself wanting something faster and more flexible than any note-taking application I could find. UMM is my attempt to create the note-taking app I wish I had, as well as learn how to create such a program.

Instead of relying on pre-made code, I built my own systems for how documents are structured, edited, saved, as well as how the cursor moves, text is formatted, and how selections …

The Effects Of Solvent Vapor Annealing On Organic Semiconductor Materials, Nicholas Cox

Honors Theses

No abstract provided.

Accelerated Coupled Mode Model For Fiber Laser Amplifiers As An Averaged Dynamical System, Rebecca Bryant, Jacob Grosek, Jay Gopalakrishnan

Mathematics and Statistics Faculty Publications and Presentations

We apply a known theorem for simplifying dynamical systems with bounded error to a specific optical fiber waveguide problem, thereby supplementing the physical intuition and heuristics used in the optics community with proper mathematical justification. Using techniques from the averaging theory of dynamical systems, a reliable accelerated model based on the coupled mode theory (CMT) approach for a common fiber laser amplifier application is derived. Computational testing reveals that this accelerated model achieves a ∼4000x increase in computational speed compared to the CMT model while preserving high accuracy in key figures of merit such as output power and amplification efficiency. …

Climate Change And Transportation, Paul J. Marchese

Open Educational Resources

This module examines how climate change is affecting transportation systems across multiple sectors, including roads, rail, air, maritime, and active transportation. It highlights key climate trends such as rising temperatures, sea level rise, and extreme weather, and explains how these factors disrupt infrastructure, operations, and safety. The module also explores the economic, operational, and policy challenges associated with maintaining resilient transportation systems under changing environmental conditions. Finally, it presents a range of adaptation and mitigation strategies, emphasizing engineering solutions, sustainable technologies, and data-driven decision-making.

High Germinability Can Facilitate Recovery Of Adelia Vaseyi (Euphorbiaceae), An Imperiled Tamaulipan Thornscrub Shrub, Saroj Dhakal, Bashira Chowdhury, Alejandro Fierro-Cabo

School of Earth, Environmental, & Marine Sciences Faculty Publications

While critical to maintaining dryland biodiversity and drought resilience, reforestation has been limited in subtropical dry forests because of knowledge gaps in seed biology that must be filled to upscale seedling production and ensure recovery of imperiled endemic plants. We characterized seed germination, dormancy, and storage needs for Adelia vaseyi, a threatened endemic shrub commonly included in planting mixes to restore Tamaulipan thornscrub, an imperiled subtropical forest spanning South Texas and Northeastern Mexico. We found A. vaseyi seeds have high germinability (82.0%) and a short mean germination time (3.04 ± 0.08 days). A delia vaseyi seed does not appear …

Dimensionless Ratios And Processes Controlling Volumetric Bioretention Performance, Andrew Charles Hiestand

Master's Theses (2009 -)

Urbanization of previously natural land cover has spurred the innovation and implementation of green stormwater infrastructure (GSI) to combat increased surface runoff due to impermeable areas and a changing climate. Bioretention has been a popular choice in design due to its small footprint and proven effectiveness in retaining stormwater runoff and limiting discharges to receiving surface waters. However, their event-to-event performance variability is difficult to explain due to a number of confounding and interacting influences that distort cross-site analyses including inter-event drying and antecedent soil moisture conditions, geometric size and media properties, and event magnitude. This study applies and evaluates …

Cybersecurity Integration In Research Stage Connected Devices Within Healthcare Environments, Klemens Koszarek

Master's Theses (2009 -)

The rapid growth of connected devices in healthcare environments has significantly expanded the cybersecurity threat landscape, extending the potential risks beyond traditional hospital networks. Regulatory guidance from the FDA and risk management frameworks such as the NIST Cybersecurity Framework (NIST CSF) provide an approach for managing cybersecurity risk in connected systems. However, these principles are not always applied during early stages of device development. As a result, security consideration may be deferred until later stages of development, allowing for vulnerabilities to persist in systems as they move toward clinical or commercial deployment. This study presents a structured method for integrating …

Evaluating Sand Characteristics And Their Influence On Sea Turtle Nest Incubation Conditions, Thomas Naylor

Honors Theses

The embryonic development of sea turtles is strongly influenced by the environmental factors experienced during incubation within the nest. These environmental factors can influence hatchling sex ratios, body condition, and their success emerging from nests. Adult female sea turtles lay nests across a range of sites throughout the nesting season, resulting in each nest encountering unique abiotic conditions. This study aims to identify how variation in sand characteristics, such as grain size proportions, permeability, and color, influences nest temperature and subsequent hatchling outcomes of Loggerhead Sea Turtles (Caretta caretta) and Green Sea Turtles (Chelonia mydas) from …

Understanding The Role Of Tiktok As A Source Of Support For Cyberbullying Victims, Saba Iqbal

Theses and Dissertations

Cyberbullying poses a significant threat to teenagers and young adults, who often seek support and advice online. Little is known about the support and advice shared online for victims of cyberbullying and whether it is helpful. In this study, we used qualitative thematic analysis to examine a sample of 150 TikTok videos that give support or advice for cyberbullying victims. We identify 33 unique pieces of support and advice across 5 categories, with differences in tone and delivery among different types of videos. We then evaluated the quality of 33 unique pieces of cyberbullying advice in a user study with …

Ownership Duration In The U.S. Business Jet Market, Yuchen Hu

SACAD: Scholarly Activities

This study analyzes ownership duration in the U.S. business jet market using FAA registry data as of February 16, 2026 (N=12,359). The analysis reveals a structured distribution with a mean of 5.86 years and a median of 5.00 years. Crucially, retention varies by acquisition status: new aircraft owners exhibit an average hold of 7.36 years, whereas pre-owned aircraft holders show a significantly higher turnover of 5.11 years, with most resales occurring within a 3–7-year window. These findings suggest that ownership behavior is driven by structured asset management and lifecycle planning, providing a predictive framework for identifying aircraft replacement and trade-in …

Quantum Scattering Of Hc5n And Para-H2 On A New Potential Energy Surface, Shan Gao, François Lique, Ernesto Quintas-Sánchez, Richard Dawes, Jérôme Loreau

Chemistry Faculty Research & Creative Works

In the interstellar medium (ISM), non-local thermodynamic equilibrium situations are common due to low density, and one needs to consider the effect of molecular collisions in order to interpret the observations. Among the species detected in the ISM, cyanopolyynes, with the general molecular formula HC_2n+1N (n = 1, 2, …), are characterized by large dipole moments and small rotational constants and constitute an indispensable class of candidates for the sensitive tracers of local density and temperature. We present a study of the collisional (de-) excitation of HC₅N by para-H₂ (p-H₂) in its ground …

Electroenzymatic Cascades For Nitrogen Upgrading: Beyond Ammonia Towards Value-Added Nitrogen Chemicals, Rohit G. Jadhav, Vamshi Krishna Kamaja, Wassim El Housseini, Monica Brachi, Shelley D. Minteer

Chemistry Faculty Research & Creative Works

The global transition toward sustainable chemical manufacturing demands technologies that leverage natural carbon and nitrogen cycles while minimizing reliance on sacrificial reagents and fossil resources. These biogeochemical cycles are fundamental to life, and enzymes catalyze many of their key transformations. Bio electrochemical, specifically electroenzymatic, systems offer a promising route to sustainable synthesis by enabling selective redox transformations powered by electricity. However, whereas carbon-cycle enzymes are now well established in bio electrochemical synthesis, enzymes from the nitrogen cycle remain comparatively underexplored. Moreover, the nitrogen cycle alone does not access many value-added nitrogen-containing products, which require additional C-N bond formation and organic …

The Impact Of An Interactive Open Education Textbook For An Undergraduate Introductory Chemistry Course For Nonmajors, Erin Avram

Chemistry Faculty Publications

Reading informational text is a critical skill across most professions. Unfortunately, students are less likely to purchase the required course materials now compared to 2010. A free, interactive text was developed for an introductory chemistry course for non-STEM majors. This involved remixing existing texts and incorporating interactive activities to engage students during the learning process and provide opportunities for them to gauge their learning. Based on the results of a student survey, 82% of students reported that it was very important to them that the text was free and 80% of students who responded reported that they used the eText …

Modeling Bitcoin Dynamics Using Differential Equations, Boone M. Fleenor

Departmental Honors & Graduate Capstone Projects

In this thesis, we develop and analyze two nonlinear systems of ordinary differential equations to model Bitcoin price dynamics. Analytical techniques are used to obtain exact or approximate solutions where possible. Then, numerical simulations using a fourth-order Runge–Kutta method are employed to explore system behavior beyond analytically tractable regimes. Finally, model outputs are compared to historical Bitcoin price data using normalized and resampled time series. These results suggest that deterministic models can provide meaningful insight into the structural behavior of Bitcoin markets, while highlighting the need for stochastic or time-dependent extensions for more realistic modeling.

Engineering Ferrate(Vi) For Water And Wastewater Treatment: Translating Science Into Technology, Zepei Tang, Zhenli He, Yang Deng

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Over the past five decades, ferrate(VI) (FeO42–) for water and wastewater treatment has remained largely at the laboratory scale, with limited pilot- and full-scale implementation. This gap between sustained research and scarce real-world deployment places the technology in the Valley of Death─a high-risk stage of development─and highlights the need for an engineering-centric approach to enable practical application. This article presents an engineering framework to guide the development and translation of ferrate(VI) technology for water and wastewater treatment. From a system perspective, ferrate(VI) technology comprises three core subsystems: generation, treatment, and solid–liquid separation. Technology maturity depends on both the advancement of …

Integrating Multi-Source Data With Machine Learning Techniques To Upscale Wetland Carbon Dioxide Fluxes, Abdullah Sulaiman Abdullah Al Fazari

Electronic Theses and Dissertations

Accurate quantification of atmospheric carbon dioxide (CO₂) fluxes in wetland ecosystems is essential for understanding their role in both regional and global carbon dynamics, particularly in the context of climate change. However, the spatial and temporal heterogeneity of wetlands presents major challenges for developing reliable upscaling models. This research developed and validated a comprehensive framework to upscale CO₂ fluxes across the Everglades National Park (ENP) and Big Cypress National Preserve (BCNP) in South Florida through the integration of multi-source datasets, including AmeriFlux eddy covariance (EC) tower measurements, NASA’s BlueFlux airborne CO₂ data, and multispectral satellite imagery from Landsat 8 OLI …

A Comparative Study On Performance Of Iot-Driven Ml-Enabled Forecasting Models For Efficient Air Quality Monitoring, Bara Ksiksi

Thesis/ Dissertation Defenses

Air pollution is one of the most important and devastating environmental issues that heavily affects public health around the world and it’s the cause of approximately 4.2 million early deaths. This thesis focuses on further improving forecasting models by introducing a zonal approach and satellite-based spatial validation. The main objective is to explore a zonal approach with the ground station data and to add a spatial component using satellite imagery to improve the accuracy of the results. It follows a four-stage evolution framework while focusing on the three different zones chosen. The four stages introduced different aspects which include a …

Drainage Proximity And Sinkhole Occurrence In Sivrihisar (Central Turkey): A Comparative Analysis Of Linear, Poisson, And Negative Binomial Regression Models, Bilge Bingül, Emrah Pekkan, Resul Çömert

International Journal of Speleology

This study investigates the relationship between sinkhole occurrence and distance to drainage in the Sivrihisar region (Central Turkey) and evaluates the suitability of different regression approaches for modeling clustered count data in karst terrains. A comprehensive inventory of 104 sinkholes developed within the Neogene lacustrine limestones of the Akpınar Formation was compiled using official records, remote sensing analyses, and detailed field surveys. Sinkhole occurrences were analyzed relative to a drainage network derived from a high-resolution Digital Surface Model and grouped by proximity to drainage lines. Linear Regression (LM), Poisson Regression (PR), and Negative Binomial Regression (NBR) models were comparatively applied …

Limitations Of Signature-Based Network Intrusion Detection Under Modern Traffic Conditions, Henry Guidry

Cybersecurity Undergraduate Research Showcase

Network Intrusion Detection Systems are tools used to monitor network traffic and alert to suspicious or harmful activity before it can cause harm. Signature-based versions of these systems are a foundation for intrusion detection, operating by finding common patterns and forming malicious signatures. However, three developments in modern network environments have greatly impacted the significance of Network Intrusion Detection Systems. These three developments are the near-complete adoption of end-to-end encryption, the use of sophisticated packet fragmentation techniques, and the processing demands of high-throughput networks. Encryption makes deep packet inspection practically infeasible by transforming inspectable payloads into ciphertext, forcing NIDS to …

The Efficacy Of Manganese Sulfate As A Negative Contrast Agent For Magnetic Resonance Cholangiopancreatography, Zainab Abdulla Mankhi

Karbala International Journal of Modern Science

The current study aims to find an alternate oral contrast media for use in magnetic resonance cholangiopancreatography (MRCP) that satisfies the following criteria, the greatest imaging quality safety, no or few side effects, and low cost. The present study created an oral contrast agent sample (solution) by dissolving a one tablet of manganese sulfate supplement (taken daily dose) in 200 ml of distilled water. Thirty-three volunteers assessed the sample using MRCP examine pre and post contrast. By evaluating the signal intensity to compute contrast (C), signal to noise ratios (SNR), and contrast to noise ratio (CNR), the resulting MR images …

Stylemys Nebrascensis Predation Hypothesis, Noah Lohrmeyer, Amanda Peng

SACAD: Scholarly Activities

In 2008 a fossilized tortoise shell was brought into the Sternberg Museum of Natural History. As we prepared the fossil, we observed markings that resembled predation. We are trying to find what species from the White River Formation could preyed on the tortoise. There are few publications on predation for this species. With few publications, we want to find what predator would hunt these species. We cross referenced the site of the tortoise and observed several carnivorous species. We used straight carapace length (Hermanson et al., 2024) and a regression formula (Wilson et al., 2016) to analyze the species we …

Mumm Vs. Minium: A Tale Of Two Quarries, Kale Link, Amanda Peng

SACAD: Scholarly Activities

In 2025, a discrepancy was discovered in the field numbers of a selection of mammal fossils, which had been mistakenly catalogued as originating from the Minium Quarry in Graham County, KS instead of the Mumm Quarry in Rawlins County, KS. While both quarries belong to the Ogallala Formation, they demonstrate differing biostratigraphic ages, faunal assemblages, and taphonomic settings. Mumm is Clarendonian aged, while Minium is Hemphillian. To correct this issue, all the Mumm specimens were assigned to an updated locality with more precise geographic and biostratigraphic data.