Digital Commons Network^™

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 …

Cuegen: Customizing Sensor Captions For Neon Bending Tutorials, Gunnika Kapoor

2025 Spring Honors Capstone Projects - Archive

Methods of knowledge transfer that rely primarily on visual and/or auditory formats do not effectively convey context-specific or implicit skills, known as tacit skills. This limits knowledge transfer. In this work, the use of customizable pitch captions and spatial audio vibration captions is proposed to aid in conveying this tacit knowledge for neon glass bending video tutorials. Such a system is designed to provide users with greater control and support, which may maximize the information they obtain from, improve the autonomy they have with, and experience they have with a learning tool. As such, a system interface was developed that …

Controlling A Mobile Inverted Pendulum And Optimizing Leaning Angle To Apply Force Using Reinforcement Learning, Aryan Mediratta

2025 Spring Honors Capstone Projects - Archive

Reinforcement Learning is a Machine Learning paradigm that involves simulating learning through rewards and penalties in intelligent systems. This technique is often employed in robotics when traditional control methods are insufficient or when human intuition does not provide a good solution on how to control robot systems, This project involves training a Segway-style Mobile Inverted Pendulum (MIP) robot to balance and push a box forward. The BeagleBone Blue board is used that includes a built-in Inertial Measurement Unit (IMU) and encoder ports. These sensors enable the system to measure its current state. The goal is to find the optimal leaning …

Good Bassoon Reeds: Where And How To Find Them, Mads A. Barajas

2025 Spring Honors Capstone Projects - Archive

Among bassoonists, it is understood that store-bought bassoon reeds are not manufactured to meet the needs of bassoonists. This study identifies commercial reed brands which permit school age bassoonists to play without unnecessary resistance and response issues, thus increasing awareness of reed selection to reduce formation of bad habits such as biting, improve tone, and reduce reed costs. Three reeds from four of the most common commercial bassoon reed brands were tested, accounting for variability in agricultural goods and handmade products across brands. Crowing, stability and intonation, high note responses, and low note responses were tested on each reed. These …

Bismuth-207 For Purity Monitoring System For Lartpc: Dune And Proto-Dune, Rohit Raut

2025 Spring Honors Capstone Projects - Archive

The Deep Underground Neutrino Experiment (DUNE), the U.S. flagship neutrino experiment, relies on high purity liquid argon (LAr) for optimal detector performance. Ensuring and monitoring LAr purity is crucial, as electronegative impurities can degrade signal quality in detectors. As part of Proto-DUNE, a prototype detector at CERN for DUNE, this study explores the use of Bismuth-207 (Bi-207) as a novel tool for real-time LAr purity monitoring and calibration. Bi-207 emits monochromatic internal conversion electrons, allowing precise impurity assessment without interfering with standard detector operations. By simulating the behavior of radioactive Bi-207 and analyzing data from the Proto-DUNE Vertical Drift detector, …

Tutortech: A Web App For A Smarter And More Efficient Tutoring System, Smarika Pathak

2025 Spring Honors Capstone Projects - Archive

The Computer Science and Engineering (CSE) department faces challenges with managing its tutoring services, especially tracking attendance, booking sessions, and overall management of the tutoring system - all of which severely limits the ability for tutors to connect and engage with students. To help overcome these issues, TutorTech, a web-based application that provides improved management of the tutoring system and supports more engaging learning experiences between students and tutors was designed. Through this project, the aim was to optimize the TutorTech search capabilities - assisting students to find tutors based on skills, while also considering the effect of user interface …

Generating Motivational Messages For Behavior Change: Encouraging Users To Be More Physically Active, Hananeel Pankaj

2025 Spring Honors Capstone Projects - Archive

High levels of sedentary lifestyles can cause adverse effects in individuals’ health. This has prompted researchers to analyze ways to increase physical activity, including the use of Large Language Models (LLMs) to generate motivational messages. While research has found LLMs to be feasible for this task, the findings are limited in availability and scope given that the research focuses on a conversational, chatbot setting—which is not ideal in the real world. This research assesses OpenAI’s GPT-4o mini’s (one of several models powering ChatGPT) ability to tailor messages towards a user. This is done by passing user health data to the …

The Golden Ratio In Classical And Contemporary Design Merges: Transitions In User Experience Through Architectural Styles, Shreya Bandi

2025 Spring Honors Capstone Projects - Archive

The Golden Ratio, often called the “divine proportion,” is a mathematical phenomenon found in nature that has significantly influenced artistic and architectural aesthetics. It notably altered the Greek Classical Period, where it advanced the idea of structural harmony. This research examines how the ratio evolves through Contemporary and Post- Modern Architecture as it merges classical style design elements with user-centric adaptations. By analyzing Cullinan Hall and Sainsbury Wing, which represent the convergence of old and modern styles, this study explores the Golden Ratio through golden rectangle identification and proportional sectioning techniques. The results indicate that the ratio evolves through user …

Development Of A Cost-Effective Daq For Measuring Brake Performance In Race Cars, Adrin Alias

2025 Spring Honors Capstone Projects - Archive

This project explores the feasibility of creating a cost-effective data acquisition (DAQ) system for high-speed, real-time brake performance testing of Formula SAE racecars. The research addresses the limitations of the current MoTeC DAQ system currently employed by the team, which is costly and time-consuming to set up for on-car testing. The team will use a brake dynamometer for steady-state comparisons of different brake pad compounds (senior design project), but evaluating real-world performance requires on-car testing. By systematically comparing various hardware platforms, sensors, communication protocols, and storage solutions, this project aims to balance cost-efficiency with reliability and performance. The research evaluates …

When 'Weird' Means 'Dangerous': Viruses And Firewalls In Affective Polarization, Nathan J. Locke

All Theses

As traditional sources of epistemic authority face declining trust, alternative narratives have gained prominence - often leveraging the emotional and cultural resonance of seemingly simple terms. In the 2024 election cycle, the term “weird” emerged as a potent meme in American political discourse. Using a memetic perspective that incorporates elements of framing theory and Social Judgment Theory, this thesis investigates the use and reaction to “weird” and its role in shaping perception of Donald Trump, his political allies, his followers, and his opposition during and immediately after the 2024 Presidential election. The memetic perspective, which views ideas as units of …

Dr. Olga Poliakova Earns First ‘Student Advocate Of The Year’ Award From Division Of Student Success, Office Of University Communications

Gardner-Webb NewsCenter Archive

The Gardner-Webb University Division of Student Success has created a new award, “Student Advocate of the Year.” Given annually, this award will recognize the contributions of faculty and staff toward helping to support students. The recipient personifies the mission of Student Success, which is to provide resources and support to educate, equip, and empower all students to succeed academically and personally in their unique college journeys.

Investigations Of Musical Constructs: An Analysis Of Graphic Scores And Their Spatial Relationships, Garrett J. Henderson

2025 Spring Honors Capstone Projects - Archive

This project seeks to understand, through creative production, how graphic scores and their purpose as a medium can be applied to architectural design. Graphic scores are an abstract representation of musical notation; they utilize unfamiliar concepts and shapes to illustrate musical ideas through unconventional means. Discovering how one can reverse-engineer these works of notation can allow architectural designers to rethink the representation of spaces and the underlying inspirations that form them. Research into broader artistic overlap, historical context, and precedent analysis culminated into a set of drawings that illustrate such concepts through an architectural lens. The production of these drawings …