Digital Commons Network^™

Pricing The Unknown: An Analysis Of Expected Value Of Young Horses And Price-Determining Factors, Rupasri Sura

Graduate Theses and Dissertations

From a seller’s point of view in a market, it is crucial to plan the pricing strategies based on perceptions of buyer preferences and their willingness to purchase to ensure market success in selling and pricing. Applying this to the equine industry, this paper studies the factors determining the price of young horses (age ≤ 2 years) in digital auction platforms. Using data from Professional Horse Services, LLC (2012–2023), a Heckman’s two-step approach was employed, which involves a probit model as the first step and a hedonic price model as the second, aiming to correct for sample selection bias in …

Sustainability: Buzz Word Or Future Of Fashion? Measuring The Feasibility Of Outright Sustainability Among Fast Fashion’S Biggest Agents, Ryan Miller

Apparel Merchandising and Product Development Undergraduate Honors Theses

Abstract

The fashion industry is currently experiencing unsustainable rates of pollution within its supply chains. The rapid increase in demand for short lead times perpetrated by large-scale retailers has led to hazardous practices negatively affecting both the environmental conditions and working conditions of producing countries. With this increased pressure, relationships between brands and suppliers have become untenable. Limited transparency and imbalanced power dynamics at the hand of the industry’s leading retailers require restructuring in order to build more sustainable and equitable supply-chain practices. Further, governmental regulation is currently limited in its capacity to enforce sustainable business practices on a global …

Simulation- And Machine Learning-Based Methods For Inland Waterway Operation And Maintenance Decision-Making, Maryam Aghamohammadghasem

Graduate Theses and Dissertations

The U.S. inland waterway transportation system (IWTS) is an essential part of the country's multimodal freight transportation network. In addition to seasonal droughts and floods, the operations of the IWTS may be disrupted by random malfunctions and scheduled maintenance of its critical components. Among these critical components, locks play a key role in the operation of navigable inland waterways, and lock-induced disruptions to the supply chains of related industries, such as agriculture and manufacturing, often result in significant economic losses. To assess the performance of the U.S. IWTS, we develop a PyNetLogo simulation tool to capture the movements and delays …

Farmers’ Perceptions About Drivers Of Poverty: A Case Study Of Cocoa Farmers In Ghana, Felix Agyei Boamah

Graduate Theses and Dissertations

Cocoa farmers in Ghana face numerous challenges that undermine their incomes and living standards, including high labor costs, fluctuating cocoa prices, high cost and limited access to inputs, lack of credit, illegal mining, weather risks, small farm sizes, outdated farming and drying technologies, and inadequate extension services. These issues reduce productivity, lower incomes, and perpetuate poverty. This study examined farmers’ perceptions about the importance of these challenges and assessed possible differences across regions and farm households’ socioeconomic status. In the summer of 2024, data were collected from 400 cocoa farmers in major cocoa-producing areas of Ghana’s Eastern and Ashanti regions. …

Yizhi Sun: Profile Of The Newest Chbc Faculty Member., Danna Jaimes-Fajardo, Jeremy J. Smith, Lutishoor Salisbury

University Libraries Faculty Publications and Presentations

Presents the research profile of Yizhi Sun, Assistant Professor, Chemistry and Biochemistry department. It highlights his research interests, education, and impact of his research.

Automated Chick Sexing Using Computer Vision, Marta Veganzones Rodriguez

Graduate Theses and Dissertations

This thesis presents two complementary approaches to chick sexing, a critical task in poultry production that demands accurate and early gender identification. By investigating both facial and vent-based modalities, we present two complementary methods that aim to improve the efficiency, scalability, and ethical standards of gender classification in day-old chicks through the use of computer vision and deep learning. The first approach draws inspiration from human facial gender recognition to introduce facial chick sexing, a minimally invasive technique that eliminates the need for expert knowledge. This system encompasses a complete pipeline that includes image acquisition, facial detection and alignment, keypoint …

Tree-Based Differential Item Functioning Detection Methods: Exploring Their Performance In Diverse Measurement Scenarios, Nana Amma Berko Asamoah

Graduate Theses and Dissertations

Despite the availability of numerous methods for detecting differential item functioning (DIF), the continued development and evaluation of innovative, data-driven approaches remains essential. Tree-based methods, in particular, represent a significant advancement in DIF detection. Unlike some traditional techniques, they can simultaneously screen multiple variables for DIF without discretizing continuous variables, and do not require the pre-specification of focal and reference groups; capabilities that are especially valuable in today’s diverse and multifaceted assessment contexts. However, research systematically examining the performance of these methods under realistic measurement conditions is limited. This dissertation, in three simulation studies, critically examines the robustness and practical …

Backpack Funding: What Happens When Dollars Follow The Student?, Alison Heape Johnson

Graduate Theses and Dissertations

A growing movement in the United States in recent years, accelerated by the COVID-19 pandemic, has brought a wave of school choice policies, which allow students to opt into an educational arrangement outside of their zoned traditional public schools (TPS) using public funds. Critics frequently express concern that these policies place an undue financial burden on both taxpayers and school districts. States adopting such policies may take on the additional financial responsibility of educating students who would otherwise privately finance their education, posing an additional cost to the state. When students do leave TPS to participate in private school choice …

Exploring The Relationship Between Adhd, Mood Disorders, And Motivation Among Women Studying For The Ged: A Preregistered Study, Amanda Dawn Kennedy

Graduate Theses and Dissertations

Adult women with Attention Deficit Hyperactivity Disorder (ADHD) and mood disorders, such as anxiety and depression, represent an understudied and underserved demographic within educational research, particularly among those pursuing nontraditional academic pathways, such as obtaining the high school equivalency diploma (i.e., GED). Despite the well-documented challenges associated with ADHD and mood disorders, including difficulties with motivation, executive functioning, and emotional regulation, little research has examined how these factors influence women’s persistence and success in adult education settings. Understanding the unique experiences of this population is essential for developing targeted support systems that enhance learning outcomes and academic achievement. This study …

Impact Of Three Professional Development Models (Online, Face-To-Face, And Hybrid) On Bhutanese Inservice Science Teachers' Conceptions Of Aspects Of Nature Of Science (Nos) With Reports Of Translation Of Nos Content Into Classroom Teaching Practices, Pabi Maya Das

Graduate Theses and Dissertations

Having a scientifically literate citizenry is an asset nationally and globally, and knowledge of the nature of science (NOS) is a crucial element in such literacy. Science teachers are a vital link if students are to understand key elements of the NOS, yet teachers themselves often lack knowledge of NOS and how to integrate NOS content into science lessons. Investigating the impact of a series of inservice professional development experiences using three distinct delivery modes (face-to-face, hybrid, online) for teachers in my home country of Bhutan is the overarching goal of the study reported here. The study used a mixed-methods …

Cotton Yield And Tissue-Potassium Response To Potassium Fertilization, Maria Paula Ramos Do Prado

Graduate Theses and Dissertations

Potassium (K) deficiency is a common yield-limiting factor in cotton (Gossypium hirsu tum L.) production across the U.S. Cotton Belt. Adequate fertilizer-K management is paramount to ensure optimum plant growth and development, minimizing yield losses. Currently, fertilizer K recommendations for cotton in Arkansas are derived from expected yield responses of other crops, with no calibrated fertilizer-K rates or critical tissue-K concentrations defined to maxim ize crop yield. Our research objectives were i) to investigate cotton yield response and fiber qual ity to K fertilization on soils with different K availability; ii) to correlate relative yield with tis sue-K concentrations at …

Algorithmic Recourse In Sequential Decision-Making For Long-Term Fairness, Francisco Gumucio

Graduate Theses and Dissertations

Algorithmic decision-making systems are increasingly being deployed in high-stakes domains such as criminal justice, education, and financial services. While machine learning models have demonstrated significant utility in automating complex decisions, they have also raised substantial concerns regarding fairness and equity. Much of the existing work in algorithmic fairness has focused on static, one-shot settings, where interventions are aimed at miti- gating bias in a single decision. However, many real-world systems operate sequentially, where decisions made at one point in time can influence future outcomes through dynamic feedback loops. In such scenarios, addressing fairness at only one decision point can be …

Explainable Machine Learning Surrogate Modeling For Exit Gradient Prediction In Hydraulic Structures Using Numerical Simulations, Prayas Rath, Jianting Zhu, Kevin M. Befus

Geosciences Faculty Publications and Presentations

Accurate prediction of exit gradients is essential for designing impounding hydraulic structures, such as dams and levees, to mitigate seepage-induced piping failures. Conventional analytical methods often neglect boundary effects and anisotropy, limiting their applicability in complex geological settings. This study develops an XGBoost-based machine learning surrogate model trained and tested on 8,000 MODFLOW numerical simulations to predict exit gradients under varying hydraulic and geological conditions. The data set covers numerous parameters, including anisotropy, head differences, structure width, cut-off wall depth, aquifer thickness, and uninterrupted riverbed length. The coefficient of determination for test data is 0.88, demonstrating reliable exit gradient prediction …

A Multi-Source Remote Sensing-Based Geocommunication Tool For Global Flood Monitoring And Management, Ebrahim Hamidi, Brad Peter, Hamed Moftakhari, Hamid Moradkhani

Geosciences Faculty Publications and Presentations

Global warming is expected to increase the frequency of extreme flooding, making rapid and accurate flood mapping crucial for effective risk assessment. Many governmental agencies and organizations are developing flood risk assessment tools; however, due to the lack of observational records, some rely on probabilistic generated data, uncalibrated simulations, or terrain-based methods, all of which are subject to various types of uncertainty. Although remote sensing provides valuable flood data with global coverage, single-source reliance is constrained by satellite revisit rates, resolution, weather conditions, and sensor limitations. To address these challenges, this study introduces a user-friendly application on the Google Earth …

Crystal Structures Of Escherichia Coli Glucokinase And Insights Into Phosphate Binding, Joseph Andrews, Joshua Sakon, Chenguang Fan

Chemistry & Biochemistry Faculty Publications and Presentations

Here, we report the crystal structure of Escherichia coli glucokinase (GLK), which has phosphate bound in the cleft between the alpha and beta domains adjacent to the active site. A ternary complex consisting of GLK, glucose and phosphate is also reported in this work. Diffraction data were collected at 2.63 angstrom resolution for the phospate-bound form (R-work/R-free = 0.191/0.230) and at 2.54 angstrom resolution for the ternary complex (R-work/R-free = 0.202/0.258), both at 297 K. A B-factor analysis of the phosphate-bound GLK structure revealed consistently lower values for phosphate-interacting basic residues in the alpha 4, alpha 5 and alpha 9 …

How To Do Things With Little Talking Tubes: Nonideal Speech Acts In The Digital Age, Anthony Holdier

Graduate Theses and Dissertations

In this work, I develop a view about what it means to share a social or conversational context with others, as well as what is normatively entailed by doing so. Working from a broadly Austinian perspective about the moral foundations of language use and how we use words to position ourselves within social space, as well as from a generally Stalnakerian social ontology (demarcating groups by dint of aligned or overlapping sets of commitments), I present three papers demonstrating how nonidealized, ordinary language philosophy can make sense of complex, real-world phenomena. Through analyses of heretical utterances, context collapse, and chatbot …

Synthesis, Structural Characterization And Optical Studies Of Silver-Indium-(Zinc)-Chalcogenide Fluorescent Quantum Dots, Sujal Acharya

Graduate Theses and Dissertations

Developing a non-toxic, high-performance fluorescent nanomaterial is crucial for overcoming the environmental and health restrictions of current cadmium, and lead based quantum dots (QDs), which limit the application of quantum dots in optoelectronics and bioimaging. In this thesis, we synthesized environmentally friendly AgInS2 QDs by a colloidal method, systematically altering the In/Ag precursor ratio from 2 to 6 to study the impact on their optical and photophysical properties. Our goals were to find the optimal stoichiometry for maximum quantum efficiency and stability. We also investigated further improving optical and photophysical properties through shelling with ZnS. The emission spectra appeared broad, …

Controlling Electroless Deposition On Polymer Interfaces Towards Discrete Functional Particle Synthesis, Grecia Pierina Alvarado Munoz

Graduate Theses and Dissertations

Electroless deposition is a process that facilitates the formation of metal layers on surfaces through the reduction of metal ions onto a surface in the presence of a sacrificial reducing agent. This process can be applied to synthesize conductive metal layers on insulators such as glass or polymers. The kinetics of heterogeneous deposition depend on the interfacial surface chemistry, including the presence of added catalyst materials, as well as the bulk chemical environment, such as the concentration of metal ions and sacrificial reductants. Furthermore, the homogeneous formation of metal nanoparticles may compete with the deposition reaction, adversely affecting the control …

Structure, Thermodynamics, And Dynamics Of Acetonitrile In Titan-Like Conditions, Sagar Chandra Roy

Graduate Theses and Dissertations

Titan is one of the most interesting satellites in the solar system. It is the only other place in the solar system containing stable deposits of liquid and a hydrological cycle other than earth. The abundant existence of N2 and CH4 in Titan’s atmosphere makes nitrile formation highly likely both in the atmosphere and surface. Infrared spectrometer data from Voyager 1 expedition revealed the presence of acetonitrile (CH3CN) in the atmosphere along with several other nitriles such as hydrogen cyanide (HCN) and cyanoacetylene (HC3N). According to theoretical models nitrile formation is caused by photodisscociation of nitrogen in the tholin haze …

Polymer-Enhanced Nanopore Sensing, Eugene Gyasi Agyemang

Graduate Theses and Dissertations

The resistive pulse technique characterizes single analytes by detecting fluctuations in the ion current as they pass through a narrow orifice connecting two electrolyte-filled chambers, each containing a single electrode. The amplitude, shape, frequency, and duration of these fluctuations primarily provide information about the analyte’s size, shape, concentration, and net surface charge, respectively. One configuration for resistive pulse measurements is of an electrolyte-filled nanopipette immersed in a bath, where the nanopipette tip acts as the nanoscale orifice. It was previously shown that incorporating the large quantities polymer polyethylene glycol (PEG 8K, 50% w/v) into the external electrolyte bath dramatically enhanced …

Contrastive Loss In Recommendation Systems, Maryam Aghamohammadghasem

Graduate Theses and Dissertations

A recommendation system is a bridge between users and products, which is widely used in e-commerce such as Amazon and Netflix. This study investigates the use of Graph Neural Networks (GNNs), Light Graph Convolution Network(LightGCN) and Graph Sample and Aggregate (GraphSAGE), in the recommendation system on two categories of Amazon review datasets ( "All Beauty" and "Tools and Home Improvement"). The novelty of this work includes combining supervised and self-supervised learning through Weighted Approximate Rank Pairwise (WARP) and Information Noise-Contrastive Estimation (InfoNCE) losses, to optimize the embeddings of users and recommended items in the shape of a ranking list. The …

Measuring The Impact Of Ged Preparation On Ged Testing Outcomes, Matthew Utz

Graduate Theses and Dissertations

This quantitative study investigates the relationship between participation in GED preparation programs and GED test outcomes among adult learners at a single Adult Basic Education (ABE) center located in an urban area of a south-central U.S. state. Recognizing the significance of the GED as an alternative credential to a traditional high school diploma, the research examines how instructional hours and structured preparation correlate with students’ final scores in mathematics, English language arts, social studies, and science. The study also describes the demographic characteristics of the learners, including gender, race, and age groups, and analyzes their performance on the Test of …

Examining The Use Of Two-Dimensional Video Capture And A Pressure Sensing Walkway For Collection Of Obstacle Crossing Measures, Ashlyn M. Jendro

Graduate Theses and Dissertations

Obstacle crossing research is crucial for providing insights into how and why people trip and fall. However, a growing body of literature has proposed that laboratory-based studies may not directly translate into real-world settings due to the complex nature beyond the sterile lab. Unfortunately, the absence of real-world obstacle crossing literature is likely due to a lack of available validated methods for collection of data outside the laboratory. This dissertation explored two potential methodologies (i.e., 2D motion capture and a pressure sensing walkway) that are more portable and cost-effective for collecting real-world obstacle crossing measures. It is hypothesized that 2D …

Utilizing The Horseshoe Prior In Exploratory Factor Analysis And Gaussian Graphical Networks, James Thomas Roddy

Graduate Theses and Dissertations

High-dimensional data analysis frequently involves extracting meaningful structure from noisy, sparse signals. In recent years, Bayesian shrinkage priors—particularly global-local shrinkage priors—have emerged as powerful tools for inducing sparsity while preserving signal fidelity. Among these, the Horseshoe prior has gained notable attention for its capacity to simultaneously shrink irrelevant parameters and retain substantial signals. This dissertation explores the Horseshoe prior as a unified framework for sparse Bayesian inference across theory, simulation, and real-world application. The first component develops new theoretical results establishing the asymptotic Bayes optimality of the Horseshoe prior in Gaussian graphical models (GGMs). We consider sparse precision matrix estimation …

Classifying Advanced Persistent Threat Stages And Techniques Via Graph-Enhanced Network Flow Representations, Md Taef Uddin Nadim

Graduate Theses and Dissertations

Advanced Persistent Threats (APTs) are complex, stealthy attacks that involve multiple stages and many attack techniques used in each stage, making them difficult to defend against. Although many solutions can detect APTs, most of them only detect the existence of attack, but cannot produce fine-grained classification over the stage of the APT and the specific attack technique used. Some existing solutions can classify the stages of APT, but few of them provide attack technique classification, and existing work do not provide interpretability for the classification or countermeasures for the attack. In this thesis work, we propose a solution named CAPTure, …

The Case Against Finean Essentialism, Miles Thibodeaux

Graduate Theses and Dissertations

In this thesis, I survey, critique, and add to recent arguments against Finean Essentialism: the view that all de re modal facts are metaphysically explained by essences. Arguments against Finean Essentialism generally fall into two categories: (a) Finean Essentialism risks contradicting commonly held views or suppositions, or (b) Finean Essentialism involves an explanatory gap, vicious circularity, or a vicious regress. While the details of the arguments within each category differ significantly, it is useful to group them in this way given the relevant implications they have for one another. I will argue that the proposed critiques from category (a) are …

Effects Of Multi-Sensory Training In Physical Activity On Reaction Time And Fitness In Elementary Students., Sarah Anne Trout

Graduate Theses and Dissertations

Abstract This study examined the effects of multi-sensory Neuroplasticity training (MSNP™) using the ROXPro system on the psychomotor abilities of third-grade students in a Midwestern elementary school. The research aimed to determine whether the integration of interactive sensory-reactive technology in physical education could improve reaction time, agility, and explosive power compared to standard PE instruction. A total of 49 participants were assigned to either a control group or an intervention group, with the latter engaging in six weeks of ROX-based drills. A pretest-posttest design was employed, and data were analyzed using ANCOVA, repeated measures ANOVA, and independent t-tests to assess …

Strain Induced Quantum Emitters In Monolayer Wse₂: Fabrication And Characterization Of Dimple Dot Devices, Garrett Maxwell Kitterman

Graduate Theses and Dissertations

Strain induced defects in monolayer tungsten diselenide (WSe₂) give rise to localized exciton funnels, offering a promising approach for the development of tunable quantum emitters. The quantum devices fabricated for this thesis used a modified dimple dot geometry, in which nano indentation creates a strain profile on the monolayer WSe₂. This allows for the funneling of excitons to a confined region. These strain induced funnels enable localized emission from single excitons in WSe₂. Device fabrication was carried out through mechanical exfoliation, dry transfer, and electron beam lithography of Cr/Au gates on a SiO₂ substrate. These devices were then characterized using …

Does Teach Lead To More Teachers? Evaluating The Effects Of The Federal Teach Program, Daniel Sparks

Counseling, Leadership, and Research Methods Faculty Publications and Presentations

Teachers are critical to education production. Yet, recruiting and retaining teachers has remained challenging, particularly in high need fields, at schools serving a high proportion of students from low-income backgrounds, and from racially diverse backgrounds. To incentivize enrollment in teacher preparation programs and to support teacher candidates through degree completion, the federal government implemented the Teacher Education Assistance for College and Higher Education (TEACH) Grant in 2008. The TEACH Grant offers undergraduate and graduate students up to $16,000 and $8,000 in grant aid, respectively, to pursue degrees in high need teaching fields. I use difference-in-differences analyses to estimate the effects …

Factors Influencing The Transition To Renewable Energy In Small- To Mid-Sized American Communities, Hanan Wehbi, Nathan Kemper

Environmental Dynamics Faculty Publications and Presentations

Background The transition to renewable energy is essential for addressing climate change and fostering sustainable communities. This involves planning and determining where, when, and how to deploy renewable energy technologies. This requires supportive policies and regulations to accommodate renewable energy sources and manage impact, as well as engagement with local communities and stakeholders to secure their support and participation in the transition process. Methods This study evaluates the impact of governance at various levels-community, county, and state-on renewable energy adoption in 87 small- to mid-sized U.S. communities with populations below 100,000. Using a multi-faceted analytical approach, this research reviews comprehensive …