Digital Commons Network^™

Ghosts In Glass: Ghost Crabs (Ocypode Quadrata) As Judges Of Glass Sand For Coastal Restoration, Emily Parrish

Poster Presentations

Coastal erosion is heavily impacting coastal ecosystems across the Gulf. For instance, the state of Louisiana loses a football field worth of land every 100 minutes (Couvillion, 2017). The drastic loss of coastline highlights the dire need for restoration in the Northern Gulf Coast. An unexpected solution to this sediment loss may solve two major environmental issues at once by diverting millions of tons of glass waste from entering America’s landfills each year. By crushing glass to create sand and gravel for coastal restoration, we may generate a consistent and sustainable source of substrate. Our goal is to determine the …

Designing An Interactive Exit Ticket System To Enhance Learning In Engineering Education, Tapanga Witt

McNair Scholars Manuscripts

Within Grand Valley State University's (GVSU) Padnos College of Engineering, many first-year Engineering courses consistently see pass rates below 70%, signaling a need for stronger academic support. This is an issue across many universities; students are underprepared and face a lot of challenges with workload, pace, and independence due to the transition from high school to college (Flanigan, 2024). For this project, I designed and developed a website-based exit ticket system to support student reflection and instructor feedback. Using UX design principles, the platform offers a weekly self-reflection form that recommends resources like tutoring, office hours, or study groups. Gamification …

Guide To The Linfield University Outdoor Plaques Collection, Linfield Archives

Linfield Archives Finding Aids

This finding aid represents a collection of outdoor plaques found throughout the Linfield University campus in McMinnville. It includes information about stone/bench engravings, plaques, and other memorials, with new material added since the initial inventory created in 2020. There had been no previous inventory of these plaques.

Collecting Human Subject Data For Modeling Maximum Potential Power At Specific Cadence And Fatigue Levels, Alexander John Minnich

Honors College Theses

The overarching goal of this research project was to investigate the relationship between a participant's maximum power (Watts) at a given cadence (RPM) on a specific fatigue level. Before conducting any experiments, we hypothesized that maximum power and cadence would decay linearly with fatigue. To do this, six days of testing for each of 4 human subjects were split across two phases. The first 4 days were devoted to Phase one, which focuses on determining the physical abilities of each unique participant and finding metabolic constants such as Critical Power and Anaerobic Work Capacity. Phase two then tests maximal power …

Collaborative Leadership Approaches’ Impact On Student Athlete Participation, Jacob Ledger

Leadership Education Capstones

The purpose of this study is to identify reasons for the decline in student athletes participating in high school football within the Big Nine Conference. The research is intended to identify several key reasons for the decline in youth sports, which contributes to high school sports, and ultimately football programs in the conference. The study also identifies two specific coaching and leadership styles and how they impact sports participation. Collaborative leadership and coaching styles compared to authoritative leadership and coaching styles. Using a qualitative research method using surveys and document review themes of sport specialization, Technology, burnout, Culture, and Feedback …

Quantifying The Role Of Climate On Tropical River Flow (Guarare River) Along The Panama Pacific Coast, 1981 – 2020., Jessie Abrego - Bonilla

Graduate Theses and Dissertations

The Guarare River watershed on the Azuero Peninsula of Panama, part of the Panamanian Dry Arc, experiences significant hydrological variability driven by seasonal changes, elevation, and the El Niño/Southern Oscillation (ENSO). This study investigates precipitation and river discharge patterns over 40 years (1981 – 2020), showing that elevation influences rainfall distribution, with higher-altitude areas receiving more precipitation during the Neutral and El Niño phases. In contrast, La Niña phases bring increased rainfall to lower-elevation areas, such as Pocrí. Seasonal ENSO effects reveal that El Niño phases reduce dry-season precipitation, lowering river discharge. La Niña events sustain high wet-season rainfall, peaking …

Using Scaffolding, Gamification, And Self Awareness To Create Responsive Ux/Ui In Cad Software To Nurture Metacognition In Novice Users, Obed Ibrahim Gonzalez

Graduate Theses and Dissertations

Computer-aided Design (CAD) software represents a significant shift from manual and analog design processes to digital workflows, offering substantial utility, accuracy, and productivity benefits. However, CAD software often presents a steep learning curve, particularly for novice users who are new to the software or possess only basic knowledge. Traditional CAD curricula have predominantly focused on technical problem-solving—teaching tools and systems—while often neglecting strategic knowledge that encompasses reflection, planning, and refining, which are essential components of metacognition. Metacognition is crucial for transforming novices into experts who use fewer and more complex commands, employ sophisticated planning, and achieve their goals more efficiently. …

Development And Investigation Of A Novel Near-Wall Methodology For Large-Eddy Simulation Based On Dynamic Hybrid Rans-Les, Michael Tullis

Graduate Theses and Dissertations

The use of computational fluid dynamics (CFD) to test engineering designs with reduced cost and time compared to physical testing has become increasingly common in a range of industries and research fields. While numerical methods exist that can accurately solve the equations that govern the flow of fluids, these methods are computationally expensive for practical engineering problems due to the large amount of computational power needed to resolve the fluid flow over the entire range of length and time scales. Several different approaches have been introduced to address this computational cost issue, namely Reynolds-averaged Navier-Stokes (RANS) modeling and scale resolving …

Generative Ai In Cs Education: Navigating The Intersection Of Student Usage And Faculty Vision, Matthew Scott Mcclenahan

Graduate Theses - Engineering Management

Generative AI tools are rapidly transforming both educational and professional landscapes, creating an imperative for computing education to adapt. This mixed-methods study investigates how Computer Science and Software Engineering students utilize these tools and how faculty perceive their impact within a small private STEM institution. Through surveys of 40 CS/SE students and 29 faculty members, complemented by in-depth interviews with 10 faculty, this dual perspective enables direct comparison between student practices and faculty perceptions, helping to identify areas where educational policies and practices may need adjustment.

Analysis identified six distinct categories of GenAI usage: Learning Enhancement (29.2%), Productivity and Efficiency …

Adults’ Remembered Stories Of Early-Grades Reading Groups: A Narrative Inquiry, Cari Brooks

All Dissertations

This study examined literacy narratives composed by participants aged 18 to 71 to learn how they remembered, described, and constructed stories about their experiences in ability-based reading groups when they were children learning to read in public schools. The purpose of this study was to add voices and perspectives to a decades-long debate over the varied impacts of using ability-based reading groups that separate children by skill level, particularly with regard to connections to learner academic and literacy self-perception and the perpetuation of systemic social inequity. The study was grounded in a critical pedagogy theoretical foundation and employed a narrative …

Western Australia’S Marine Heatwave Update - 9th May 2025, Department Of Primary Industries And Regional Development, Western Australia

Marine Heatwave Notification Reports

Category 1 – Moderate marine heatwave (MHW) conditions continue for the Gascoyne and South Coast Bioregions. Marine heatwave conditions in the North Coast Bioregion have abated and the West Coast Bioregion remains warm but neither are categorised as experiencing MHW conditions.

Low-Field Magnetoresistance In Nanocomposites Of La₀.₇Sr₀.₃Mno₃ And Metal Oxides, Nicholas K. Thiel-Hudson

University Scholar Projects

Pure La_0.7Sr_0.3MnO₃ (LSMO) exhibits colossal magnetoresistance (CMR) with large applied magnetic field over a narrow temperature range (intrinsic behavior), limiting its application to narrow temperature ranges. In contrast, the extrinsic CMR effect originates from inhomogeneities at larger length scales, such as grain boundaries and phase separation, where the structural features act as tunneling barriers, leading to a low-field magnetoresistance (LFMR) response, thereby expanding the application of LSMO into the low-field regime over a broader temperature range. In this work, the magnetotransport behavior of pure LSMO thin film is compared to the composite layered heterostructures of …

2025 Summer - Veterans Upward Bound Newsletter, Veterans Upward Bound, East Tennessee State University

Veterans Upward Bound Newsletters

No abstract provided.

A Machine Learning Analysis Of Factors Leading To Major League Baseball Postseason Berths, Chase S. Foster

Undergraduate Honors Theses

Machine learning is a method that employs statistical algorithms to identify patterns and make predictions from data. This study applies machine learning techniques to analyze data from Major League Baseball (MLB) teams between 1998 and 2024, with the goal of determining which factors strongly influence a team's likelihood of reaching the postseason and in accurately predicting the teams that do and do not qualify for the postseason. Data exploration and unsupervised machine learning methods such as clustering were used to identify underlying patterns in team performance metrics and determine potential significant contributors to team success. Many different supervised learning methods …

Mentorship As Experienced By Black Woman In Stem At Predominantly White Institutions, Chelsei Lasha Arnold

Honors Theses

Black female college students have experienced a marginalized history in STEM higher education. Although students associated with this identity are enrolling and earning college degrees at historic rates, there is a gap in the resources available, especially at predominantly white institutions (PWIs), for these students once they reach collegiate level. The goal of this study is to examine the role of mentorship in the lived experiences of Black women STEM students at PWIs. I used interpretive phenomenological analysis on transcribed interviews to examine psychological patterns, and then I carefully analyzed the phenomenon of being mentored. Through the analysis, I sought …

Layered Alignment, Spencer Williams

The University of New Hampshire Law Review

Most artificial intelligence (ai) researchers now believe that ai represents an existential threat to humanity. The most dangerous threat posed by ai is an issue known as the alignment problem: the risk that a sufficiently intelligent and capable ai system could become misaligned with the goals and values of its human creators and instead pursue its own objectives to the detriment of humanity, including the possibility of extinction. The tension at the heart of the alignment problem is familiar to scholars of agency, contracts, and corporate law, though it goes by a different name: the principal-agent problem. In the traditional …

The Mighty C: A Fractal Model For Modern Creativity, Joe Todaro

Creativity and Change Leadership Graduate Student Master's Projects

The persistent ambiguity surrounding the definition of creativity has hindered its advancement across academic, educational, and professional settings. In response, this paper proposes an updated framework—The Mighty C—which defines creativity as the intrinsic human activity of generating meaningful, novel, and useful outcomes through deliberate process. This model addresses critical gaps in conventional definitions, particularly the frequent omission of meaningfulness, intentionality, and the uniquely human nature of creativity. It further emphasizes the recursive nature of these aspects across different levels of creative activity, represented through the structure of fractals. Drawing from scholarly models such as Rhodes’ 4Ps and Kaufman and Beghetto’s …

Generative Ai's Illusory Case For Fair Use, Jacqueline C. Charlesworth

Vanderbilt Journal of Entertainment & Technology Law

Pointing to Authors Guild, Inc. v. Google Inc., Authors Guild, Inc. v. HathiTrust, Sega Enterprises Ltd. v. Accolade, Inc. and other leading technology-driven fair use precedents, artificial intelligence (AI) companies and those who advocate for their interests claim that mass unauthorized reproduction of books, music, photographs, visual art, news articles, and other copyrighted works to train generative AI systems is a fair use of those works. Though acknowledging that works are copied without permission for the training process, the proponents of fair use maintain that an AI machine learns only uncopyrightable information about the works during that process. Once trained, …

The Effect Corrugated Fiberboard Has On The Environment In Terms Of Compostability, Plant Growth, And Per-And-Poly-Fluoroalkyl Substance Contamination, Meredith Clem

All Theses

The “Lasagna Method” is a popular and sustainably perceived technique that many gardeners use as a free and convenient method to dispose of cardboard (corrugated fiberboard) packaging while also improving their gardens. Many claim that this creates benefits for your garden, but many others have proposed their concerns, including the safety of the practice. This research analyzes the compostability of cardboard, the effect it has on plant growth and development of lettuce, and its contamination of a prominent chemical that has known negative effects on human health. The results of these studies showed that cardboard, as it is currently produced …

Understanding Initial Capacity Loss In Substituted Layered Oxide Cathodes For Lithium-Ion Batteries, Gy Wyco

Graduate Dissertations and Theses

Layered oxide LiCoO₂ (LCO) pioneered the commercialization of lithium-ion batteries (LIBs) in 1991, yet the growing demand for higher energy density has driven the development of substituted layered oxides, including LiNiᵧMn𝓏Co₁₋ᵧ₋𝓏O₂ (NMC) and LiNiᵧCo₁₋ᵧ₋𝓏Al𝓏O₂ (NCA). Despite the increased energy density, achieving full lithium reversibility during the first charge-discharge cycle remains a critical challenge: approximately 0.08–0.11 Li is “irreversibly” lost after delithiation, resulting in a substantial capacity loss of 10–15%. This loss is conventionally attributed to bulk lithium transport limitations arising from three interrelated factors: (1) contraction of the c-axis lattice during lithiation, (2) reduced rate of tetrahedral site hopping (TSH) …

Ai Governance: Overcoming Policy Barriers To Fairness And Privacy, Michael Akinwumi

Connecticut Law Review

Artificial intelligence (“AI”) is increasingly influencing critical sectors such as housing and finance, and raising concerns about fairness, bias, and regulatory compliance. This Essay explores the policy considerations essential for operationalizing AI fairness, particularly in regulated industries. It examines the interplay between algorithmic transparency, privacy, and the responsible use of protected class data under existing legal frameworks such as the Equal Credit Opportunity Act (“ECOA”) and the Fair Housing Act (“FHA”). The Essay identifies key policy gaps and challenges in implementing fairness-enhancing techniques, offering actionable recommendations for policymakers, regulators, and AI practitioners. These recommendations propose a holistic framework that integrates …

Compiling Haskell Into Lean: A Common Abstract Syntax For Haskell And Interactive Theorem Provers, Talitha Holcombe

Electrical Engineering and Computer Science (MS) Theses

In this work, we introduce a program conversion tool, HS-TO-LEAN, that uses GHC's ghc-lib-parser API to translate Haskell programs into Lean code, which is then validated by the Lean compiler. The repo can be found at https://github.com/holcombet/hs-to-lean/tree/main. The result is a successful compilation of a fragment of Haskell into correct and executable Lean code that users can prove theorems about. We conducted a case study using a heap sort algorithm to support our claim that HS-TO-LEAN produces verifiable Lean code. Our approach is inspired by recent advances in formal verification of Haskell programs in Coq, and we currently restrict our …

Butterfly Effects: Women And Criminal Law, Pavithra Rajendran

Washington International Law Journal

Through a comparative analysis of the criminal laws of Sri Lanka and the United States, this paper examines how Sri Lanka’s legal framework on sexual offenses often hinders women’s access to justice and reinforces systemic gender discrimination. Recognizing the structural constraints inherited from older common law traditions, it underscores the potential for reform through targeted, gradual changes, drawing on developments in modern common law in the United States and relevant international legal standards. The discussion unfolds in three parts: first, a feminist critique of exiting criminal laws in postcolonial; common law systems such as Sri Lanka’s; second, a comparative analysis …

China's Experiment Of Dual-Class Equity Structures: Regulatory Frameworks And Investor Protection, Sang Yop Kang, Terry Ling

Washington International Law Journal

Mainland China traditionally upheld the one-share-one-vote (OSOV) principle. Since 2019, however, Chinese authorities have introduced the dual-class equity structure (DCES) for innovative enterprises. Due to investor-protection concerns, China’s DCES operates on a “stringent approval system,” with only eight corporations listed under DCES as of December 31, 2024. This Article provides a comprehensive policy analysis of the Chinese DCES system, including empirical analyses of the eight existing cases. It explores legal and economic aspects of investor protection within China’s DCES, examining “three sets of investor safeguard measures”: (1) “three numerically specified rules” (e.g., 10% equity rule, 10-time voting-right rule, and 2/3 …

Generative Artificial Intelligence Dependency: Scale Development, Validation, And Its Motivational, Behavioral, And Psychological Correlates, Adalia Yin Hui Goh

Dissertations and Theses Collection (Open Access)

The growing integration of generative artificial intelligence (AI) into everyday life has raised questions about its potential psychological and behavioral consequences. The present research develops and validates the Generative AI Dependency Scale, a multidimensional tool developed to assess individual differences in dependency on generative AI systems. Across six studies involving 1,223 participants from the United States and Singapore, the Generative AI Dependency Scale demonstrated strong psychometric properties, including a stable three-factor structure (cognitive preoccupation, negative consequences, withdrawal) and good test-retest reliability (ICC = .85). Confirmatory factor analysis supported a higher-order dependency construct, and scalar measurement invariance was established across sex …

Current Wind Simulation Techniques, Keegan J. Sims

Theses/Capstones/Creative Projects

Not much exists in the realm of wind simulation. For what does exist involves tornadoes, and even then that is stretched far and few between. Due to this we have a lot of room to explore, and figure things out. How do we simulate real time wind? My capstone project involves a simple wind algorithm, how does it compare to what does currently exist? This paper covers the papers about wind and how it it interacts with objects and itself.

On The Hexgame, Corwin Jones

Mathematical Sciences Technical Reports (MSTR)

The SOMA Cube has been studied by mathematicians for a number of decades, but so far methods for solving three-dimensional space-filling puzzles like the SOMA cube remain numerical; we do not have a means to predict the number of solutions to SOMA-like puzzles. We present a two-dimensional puzzle that shares certain features of the SOMA Cube, with the hope that it will be a more convenient object of study for future research into space-filling/space-covering puzzles.

Procedural Generated World With History Simulation And 3d Map, Xuanchen Shen

Programming Theses and Dissertations

The procedurally generated world with history simulation tool dynamically generates customizable, seed-driven virtual worlds through algorithmic processes. Using Voronoi diagrams (constructed via Fortune’s algorithm) for spatial partitioning, it creates diverse geographic features such as lands, oceans, and heights. Climate systems, hydrology (rivers, precipitation), and temperature data are procedurally derived from the terrain data. The tool further simulates sociopolitical dynamics, including population distribution, cultural evolution, religious spread, and diplomatic interactions between procedurally generated nations. Cities, towns, roads, and products emerge organically based on province data.

Users can interactively modify generated worlds—adjusting province geographic data, reshaping cultural or religious distribution, or changing …

Voxel-Based Physically Simulated Particle System For Realistic Smoke Effects With Responsive Interaction To Dynamic Objects, Qixuan Liang

Programming Theses and Dissertations

The Voxel-Based Physically Simulated Particle System is designed to provide a high-performance, interactive, and visually realistic smoke simulation for real-time applications. This system replicates the dynamic smoke effects seen in Counter-Strike 2, ensuring high visual fidelity and interactivity through advanced rendering and simulation techniques.

The system leverages compute shader-based ray marching for volumetric rendering, enabling physically-based lighting simulation with realistic shading and soft shadowing effects. To achieve efficient and scalable smoke propagation, it employs Intel SIMD-optimized flood fill algorithm, significantly accelerating the expansion calculations. With over 10,000+ dynamically interacting particles, the system maintains a stable 60FPS across a …

The Impact Of Maternal Age On The Expression Of Transgenerational Plasticity In Daphnia Pulicaria, Calvin Nguyen

2025 Spring Honors Capstone Projects - Archive

Transgenerational plasticity refers to heritable, non-genetic changes in phenotype that persist across multiple generations and can enhance offspring survivability in variable environments. In Daphnia, increasing maternal age has been associated with maladaptive plasticity. To investigate this relationship, six clones were collected from two Wisconsin lakes and acclimated to laboratory conditions through a common garden rearing process. For each clone, ten replicates were generated and evenly divided between young (clutches 2–4) and old (clutches 5–8) maternal age groups. Offspring were exposed to three dietary treatments for three experimental generations: one fed only green algae, one fed only cyanobacteria (a nutritionally …