Digital Commons Network^™

Elevating After-School: Addressing After-School Program Quality Through Improvement Design, Kate Marie Vincent

Electronic Theses and Dissertations

This study examines how Pathfinders After School, a national after-school provider can improve program quality amid rapid expansion. As enrollment has grown, program quality has declined, evidenced by decreasing net promoter scores (NPS), rising student behavior incidents, and terminated district partnerships. Grounded in Bronfenbrenner’s ecological systems theory (1979), this mixed-methods study uses improvement science methodology to test systemic interventions that empower key user groups and enhance program effectiveness. An improvement team, composed of crossfunctional organizational members, conducted root-cause analysis to identify primary drivers of after-school program quality. Core focus areas included staff training, student engagement, feedback mechanisms, and implementation fidelity. …

Spatial Analysis Of La Nana Bayou Watershed To Assess Stream Health, Rylee G. Gabbert

Electronic Theses and Dissertations

The purpose of this study was to evaluate the feasibility of using land cover mapping to identify water quality indicators within a river basin, assessing whether this method provides greater efficiency compared to traditional field-based water quality testing. Land cover mapping has efficiently monitored environmental changes by detecting alterations within specific areas. With the La Nana Bayou Watershed positioned in the heart of Nacogdoches City, an urbanized environment; it is subject to human induced alterations that can negatively affect the natural functionality of its system. When water quality indicators are successfully related to land cover maps, changes within the landscape …

Exploring New Mexico 4-H Volunteers’ Acceptance And Use Of Technology: A Qualitative Approach, Kayla Dawn Hinrichs

Electronic Theses and Dissertations

Integrating technology into youth development programs like 4-H is increasingly vital for enhancing communication, education, and engagement. However, technology adoption among 4-H volunteers remains inconsistent. This qualitative study explored the barriers to technology adoption among New Mexico 4-H volunteers. The researcher aimed to understand the factors influencing their willingness and ability to integrate digital tools into their volunteer roles. Guided by Rogers’s (2003) diffusion of innovation theory and framed by Creswell and Poth’s (2024) qualitative research design, this study employed semistructured interviews with a purposive sample of 4-H volunteers across the state. Following Braun and Clarke’s (2006) six- phase approach, …

An Autoethnography Of My Experience Navigating The United States Educational System As An Immigrant: Intercultural Communication Challenges And Cultural Asynchronization, Anuti Ngangana

Electronic Theses and Dissertations

The purpose of this study was to share experiences as an immigrant student and answer the following question: What does my personal life history reveal about the importance of intercultural communication in the U.S. educational system? Immigrants leave their countries of origin and migrate to the United States for various reasons. Many are traumatized when they enter the country due to civil unrest in their native countries. Immigrants arrive with their children, who join a school system that is generally unprepared to meet their needs. In order to document immigrant experiences, the researcher utilized an autoethnographic approach using counter-storytelling from …

Feasibility Analysis For The Implementation Of An Anaerobic Digestion System In The City Of Pittsburgh, Pa, Gianna L. Kolencik

Electronic Theses and Dissertations

The current study is investigating the feasibility of an anaerobic digestion system

in Pittsburgh, Pennsylvania, at the old State Correctional Institute (SCI-Pittsburgh)

located at 1922 Westhall St. This location is immediately upstream of the Allegheny

County Sanitary Authority (ALCOSAN) along the Ohio River. Municipal solid waste

from ALCOSAN may be used as the main form of feedstock. ALCOSAN produced

roughly 36,500 tons of dry sludge in the reporting year 2023-2024. Based on the volume

of dry sludge from ALCOSAN it is estimated that an anaerobic digestion system could

yield approximately 29,930,000 kWh of energy, which is enough to power over …

Impact Of Unconventional Gas Extraction On Tributaries Of Tenmile Creek, Greene County, Pennsylvania: A 12-Year Perspective, Christian L. Beall

Electronic Theses and Dissertations

Much of southwestern Pennsylvania has been central to a rapid increase in development for unconventional natural gas extraction in the past two decades. The continued monitoring of streams over their lifetime as extraction sites is pivotal to understanding the effects of fracking on local waterways and their ability to provide for wildlife and human use. Here, using multiple indices of biotic integrity (IBI), I perform analyses of fish and macroinvertebrate communities as well as water chemistry on two streams, Bates Fork (with shale wells) and Fonner Run (without), as part of a follow-up to work performed there from 2010-2012. Fish …

Evaluating Predictive Models For Predicting Total Score Of Beef Carcasses, Emmanuel Forson

Electronic Theses and Dissertations

The beef industry plays a vital role in global agriculture, with carcass quality and consumer preference being key determinants of market success. This thesis examines predictive modeling techniques for estimating the Total Score of beef carcasses, a composite measure representing yield and quality, primarily used by the Nebraska Cattlemen Association. Using data from the Nebraska Cattlemen’s Foundation Retail Value Steer Challenge (2000–2023), the study compares the performance of First Order Multiple Linear Regression (MLR) with three machine learning techniques: K-Nearest Neighbors (KNN), Random Forest, and Gradient Boosting Machine (GBM).

The analysis focuses on six key predictors: Hot Carcass Weight, Back …

Tracing Clovis Landscapes: Chert Sourcing At The Copelin Valley Site In Kentucky., Shaylee Scott

Electronic Theses and Dissertations

This study conducts a raw material sourcing analysis of Clovis lithic artifacts from Copelin Valley, Hart County, Kentucky, a key Clovis occupation site. Over a decade of documenting private collections and recent archaeological investigations confirm the site's significance within the Paleoindian landscape. Using reflectance spectroscopy, a non-destructive technique, this research assesses chert source probabilities for over 100 Clovis points and tools. By integrating spectral data with geological sourcing frameworks, this study examines raw material procurement strategies and their implications for Clovis mobility and settlement. The findings reveal patterns in material selection, shedding light on occupation intensity, technological organization, and landscape …

Exploring The Impact Of Social Interactions And Representation On The Development Of Engineering Students' Sense Of Belonging In A Summer Program., Liliana Martinez

Electronic Theses and Dissertations

Research has shown that engineering students from underrepresented minority (URM) populations experience significant retention gaps compared to their majority peers (Dickerson et al., 2014). One factor that can significantly promote academic success, retention, persistence, and psychological adjustment is a sense of belonging (Hausmann et al., 2007; Hoffman et al., 2002). There is evidence showing that Summer Bridge Programs (SBPs) can foster students’ sense of belonging (Strayhorn, 2019); however, little is known about the mechanisms through which an SBP impacts URM engineering students’ sense of belonging. This study addresses this knowledge gap by investigating the impact of the Brown Forman …

New Bayesian Methods For Longitudinal Data Analysis With Complex Dependence Structures., Anish Mukherjee

Electronic Theses and Dissertations

Longitudinal data in real-world settings are frequently found to be heterogeneous and exhibit intricate spatio-temporal dependence structures. Analyzing such complex data to obtain reliable estimation while quantifying uncertainty necessitates using sophisticated Bayesian methodology. In this work, we present novel Bayesian methods developed to address these challenges. We often observe heterogeneity in longitudinal data, where the mean and variance for certain profiles meaningfully differs from the rest. Some profiles may also exhibit outliers at a limited number of measurements. Using a standard mixed effects model, which assumes homogeneity, can lead to overestimating the residual variance and inefficient estimation. In this work, …

Genetic Influence Of Allelic Variation On The Phenotypic Variability Of Cognitive Outcomes In Individuals With Williams Syndrome., Marinie P. Joseph

Electronic Theses and Dissertations

Williams syndrome (WS) is caused by a rare microdeletion of 25 – 27 genes on chromosome 7q11.23, characterized by a distinctive cognitive profile with considerable phenotypic heterogeneity. However, the genetic factors underlying this phenotypic variability remain unclear. I explored two genetic mechanisms—parent-of-origin (PoO) effects and genome-wide polygenic variation, as measured by polygenic scores (PGSs)—to elucidate possible influences on cognitive variability in WS. The first study examined PoO effects on cognitive abilities in two overlapping samples of children with WS (N = 211, N = 251). PoO refers to which parental homolog of chromosome 7 contains the WS deletion. Despite …

Perceptions Of Unstructured Recess And Classroom Behaviors In Elementary School Settings., Allison Shockley

Electronic Theses and Dissertations

The priority on core curriculum areas such as math and reading has resulted in limited physical activity and regular recess routines. With the increased time spent on core curriculum, teachers and administrators have shifted their focus towards standardized student testing achievement. This focus has resulted in limiting or doing away with unstructured recess with the hopes that students will gain more core curriculum knowledge. This dissertation will focus on educators' perceptions of elementary school student behavior with varying recess time structures. This study began by examining the history of recess while analyzing the trickled- down historical inequities elementary students experience …

Volatile Organic Compounds And Their Relation To Sympathetic Activation And Autonomic Balance In Humans., Cameron Kyle Stopforth

Electronic Theses and Dissertations

Cardiovascular disease (CVD) is a multifaceted pathology that affects almost half of Americans ≥20 years old. One modifiable risk factor associated with CVD is air pollution exposure. The intricacy of air pollution exposure and CVD can make it difficult to elucidate on the multitude of mechanisms underpinning these associations. In this dissertation, we selected a relevant exposure (i.e., volatile organic compounds (VOC)) and an intermediate outcome (i.e., autonomic balance) that may represent one of these pertinent mechanisms. We tested the central hypothesis that higher VOC exposures would lead to increased sympathetic activation and autonomic imbalance. Aim 1 (Chapter III …

Applying Residence Time Distribution Theory To Coronary Thermodilution Curves., Jacob Michael Miller

Electronic Theses and Dissertations

Cardiovascular diseases remain the leading cause of death worldwide and coronary microvascular dysfunction is one cardiovascular disease which is particularly challenging to diagnose and treat. Coronary thermodilution is a widely used, invasive procedure to evaluate microvascular function by generating physiological indices such as coronary flow reserve and the index of microvascular resistance. Although commonly cited as an indicator dilution method in the cardiovascular literature, current coronary thermodilution techniques lack rigorous application of the accompanying mathematical framework, thereby leaving potentially valuable diagnostic information unexploited. This study bridges that gap by demonstrating the equivalence between indicator-dilution theory and residence time distribution theory …

An Automatic Colorectal Polyps Detection Approach For Ct Colonography., Mohamed Yousuf

Electronic Theses and Dissertations

Colon cancer, also known as colorectal cancer, is a significant health concern, with increasing incidence rates, particularly among individuals under 50. This rise has led experts to recommend the introduction of regular screenings at 45 years of age for adults at average risk. Early detection through such screenings can identify precancerous polyps, allowing their removal before they develop into cancer. This proactive approach has the potential to reduce colorectal cancer deaths by up to 60%. In addition, research indicates that people diagnosed before age 50 have better survival rates, which emphasizes the importance of early diagnosis. Therefore, adhering to recommended …

Studies Of Pathways To T2d And Interventions Through A Dynamical System Model., Rafiqul Islam

Electronic Theses and Dissertations

Existing mathematical models investigating the progression of type 2 diabetes (T2D) over time primarily focus on glucose, insulin, β-cell mass, and other related factors, while often omitting fatty acids (FA) as an explicit variable—despite FA being a major energy source for the body. There exists a complex network of dynamical interactions among glucose, insulin, FA, and β-cell mass. To gain deeper insights into the metabolic dynamics and pathophysiology of T2D, it is essential to incorporate FA into such models. In this study, we extend the classic Topp’s GIβ model by explicitly incorporating FA and exploring its interactions with glucose, insulin, …

Bayesian Model Updating Of Structural Parameters Using Temperature Variation Data., Ujjwal Adhikari

Electronic Theses and Dissertations

Physical digital twins have now emerged as a technology in structural health monitoring and other domains of structural modeling. A Finite Element Model can be a tool for digital twin technology in conjunction with measured physical data. Developing an accurate digital model requires the integration of various parameters to replicate the real structure; however, temperature is dynamically changing, resulting in difficulty in the identification of structural parameters. Typically, temperature is considered noise or filtered out. Limited research has addressed the physics-based model using temperature variation related to structural modal properties. Finite Element Model Updating (FEMU) is a typical inverse problem-solving …

Thin-Film Optical Filters For Selective Transmission And Black-Body Reflection In Pyroelectric Energy Systems., Cedric Cruz Silva

Electronic Theses and Dissertations

Essential to pyroelectric energy systems is the ability for a pyroelectric material to achieve high temperatures rapidly. In pursuit of augmenting this process, several thin-film optical filters were designed for transmitting laser excitation in the near-infrared region, while simultaneously reflecting black-body radiation for pyroelectric materials. Designs include a classical Fabry-Perot structure with gold and tantalum pentoxide, an induced transmittance filter with silica, hafnia, and gold, and an indium-tin-oxide filter with silica, alumina, and ITO. Performance varies depending on the design. The Fabry-Perot filter experimentally showed a maximum transmittance of 42% at 1.04 μm and an infrared reflectance of 98%. The …

Trust And Success: Franchisee Perspective On Relational Trust With The Franchisor And Impact On Unit Growth, Giovannie M. Hoff

Electronic Theses and Dissertations

Abstract

The problem addressed in this study was that it is unknown how franchisees perceive trust and its influence on unit growth and contractual control within the franchisor and franchisee relationship. The purpose of this case study was to explore the franchisee’s perspective of trust within the franchisor and franchisee relationship and its impact on growth and contractual control. A qualitative case study approach was used, with data collected from 13 participants from one franchise organization in the United States through semistructured interviews and questionnaire. Data were transcribed, coded, and analyzed thematically, with triangulation and member-checking ensuring credibility. Two key …

5g Network Slice Vulnerabilities And Exploit Chaining Through Enablers, John Breeden

Electronic Theses and Dissertations

Network slicing provides fundamental support for the enhanced features of 5G. Network slicing enablers, such as software-defined networking and network function virtualization facilitate the separation of the physical distributed infrastructures and the functions that create isolated slices. With this framework, the network slice is no longer under the control of a single entity. Multiple infrastructure providers share responsibility for the slice. The 5G architecture derives from multiple services, distributed over great distances, and managed by multiple parties. Each enabler and provider adds vulnerability to network slicing. We examine the interweaving of these enablers to identify vulnerabilities, discuss potential mitigation, and …

An Assessment Of The Effects Of Indirect Consultation In Improving Quality Of Life For Adults With Intellectual And Developmental Disabilities, Sarah Michele Russell

Electronic Theses and Dissertations

Seventeen percent of the total population of children are living with an intellectual / developmental disability (IDD), and while resources and therapeutic interventions are accessible during early childhood years, they often cease after turning 21 years old. As a result, many adults with IDD do not acquire the skills necessary to live independently and sustain employment or meaningful relationships, impacting their independence and quality of life. The purpose of this study is to understand how self-management training (in the form of indirect consultation) for adults with IDD influence independence and socially significant behavior in relation to quality of life. The …

Flow Field Surrounding Bluegill (Lepomis Macrochirus) During Suction-Feeding, Jensine Caroline Coggin

Electronic Theses and Dissertations

Suction-feeding is a common method for capturing prey by aquatic organisms and contributed to the diversification of fishes by enabling them to consume a wide range of prey. Suction-feeding is a complex fish-fluid interaction governed by various hydrodynamic forces: inertia, unsteady, viscous, and pressure gradients. These forces are described by the coupling between the flow physics equations (Navier-Stokes) and the dynamic behavior of the fish (motion and forces). However, the distribution of the pressure field that drives this process, and the extent to which suction-feeding is three-dimensional, remain underexplored. I estimated the pressure within the flow field surrounding the mouth …

Deep Learning In Lung Cancer Pre- And Post-Radiation Therapy: Diagnosis Of Malignancy And Radiation-Induced Lung Injury From 3d X-Ray Ct., Benjamin Peter Veasey

Electronic Theses and Dissertations

Lung cancer remains the leading cause of cancer-related mortality worldwide, with early detection and accurate diagnosis being critical for improving patient outcomes. Additionally, the progression of Radiation-Induced Lung Injury (RILI) following Stereotactic Body Radiation Therapy (SBRT) for lung cancer presents a significant diagnostic challenge. This dissertation addresses these challenges by developing deep learning-based diagnostic tools for both pre-treatment lung nodule malignancy classification and post-treatment RILI identification using 3D X-ray CT imaging. The research is divided into two primary objectives. First, for lung nodule malignancy classification, we developed a biopsy-confirmed dataset, called NLSTx, to train and evaluate deep learning models while …

Online Optimization With Lookahead For Dynamic Assignment And Energy-Smart Scheduling In Manufacturing., Mahmud Parvez

Electronic Theses and Dissertations

Scheduling in online and dynamic manufacturing systems presents significant challenges due to the continuous arrival of customer orders with certainty only over a short time window and the dynamic availability of resources after completing ongoing operations. Similar challenges exist at our industry partner’s site when scheduling orders (computer servers) to machines (testing cells) during the final testing process before customer delivery. The primary challenge lies in dynamically assigning incoming orders to available machines in order to minimize the number of unfinished orders. Additionally, the energy-intensive nature of the production process introduces another challenge; efforts to reduce energy consumption often lead …

Nonlinear Power Function Model Changepoint Detection., Jacob Steven Townson

Electronic Theses and Dissertations

Most work surrounding changepoint analysis focuses on linear models. This dissertation explores changepoint detection in nonlinear power function models, specifically focusing on models where the constant multiplier and power are the parameters to be estimated in addition to the changepoint parameter. The study assumes an asymptotic framework as the number of observations approaches infinity. The study explores various model fitting algorithms, and decides to employ the Newton-Raphson method for parameter estimation, with a custom implementation developed to optimize the process. The research first establishes the strong consistency of estimators for the model without a changepoint. Building on this result, consistency …

Finer Resolution Paleoclimatological Network Analysis Of Hydrological Extremes And Tree-Growth Response For Kentucky, U.S.A., Jordan Sharp

Electronic Theses and Dissertations

As climate change accelerates, southeastern states like Kentucky face increasing environmental and economic challenges. To improve future climate predictions, this study enhances paleoclimate reconstructions with a high-resolution tree-ring network for Kentucky, combining data from both living trees and dendroarchaeological sources. I evaluated the climate sensitivity of tree growth using superposed epoch analysis, static correlations, and spatial field correlations in KNMI Climate Explorer, along with moving correlations against seasonal temperature and moisture variables. Findings reveal that white oak and tulip poplar exhibit significant drought sensitivity across both live and archeological sites. However, I observed a weakening relationship between tree-ring growth and …

Thermal Characterization Of Lithium-Ion Batteries Under Fast Charging Conditions Using Infrared Imaging., Gowthaman Punithakumar

Electronic Theses and Dissertations

Lithium-ion batteries are widely used across various industries due to their long lifespan, high energy density, low self-discharge rate, and absence of memory effect. However, fast charging of Li-ion batteries can cause problems like lithium plating, mechanical damage, and overheating. Temperature plays a key role in battery performance. Measuring temperature accurately is important to improve battery life, efficiency, and safety. However, accurately measuring a battery's internal temperature remains challenging, and the appropriate measurement method depends on factors like range, accuracy, resolution, and cost. Choosing the right temperature measurement method depends on range, accuracy, resolution, and cost. In this study, we …

Can Exploring Before Instruction Improve Underrepresented Stem Students’ Learning Compared To Traditional Methods? Investigating Psychosocial Factors., Katherine G. Golway

Electronic Theses and Dissertations

Increasing evidence suggests that active learning benefits students’ learning outcomes, while also helping to reduce or eliminate grade differences between historically underrepresented (UR) and non-underrepresented (non-UR) students in STEM courses. This dissertation investigates if, and when, a specific active learning strategy – exploratory learning before instruction – can have these learning benefits and impact students’ fundamental needs (i.e., security, belonging, competence, and self-efficacy) and curiosity/interest. In five experimentally-controlled studies conducted within undergraduate STEM courses (physics, engineering, and chemistry), students were randomly assigned to exploratory learning conditions (explore-first) or traditional instruct-then-practice conditions (instruct-first). After completing both the learning activity and lecture-based …

Engineering Solutions For The Transplant Supply Gap: Social Network Analysis, Artificial Intelligence, And Optimization In Living Kidney Donation., Joshua Nielsen

Electronic Theses and Dissertations

Kidney transplantation is the gold standard for treating end-stage renal disease, yet over 90,000 patients remain on the transplant waitlist. This dissertation introduces engineering-driven solutions to help reduce the transplant supply gap by addressing three challenges: illicit trafficking, donor recruitment, and evaluation inefficiencies. First, we model illicit organ trafficking networks using social network analysis. We demonstrate that targeting transplant clinics alone is insufficient to disrupt operations. Instead, disrupting the network requires detaining brokers who organize behind-the-scenes logistics—offering a more effective strategy for intervention. Second, we seek to identify a latent population of potential living donors who face barriers such as …

Car Price Prediction Using Machine Learning: Analyzing The Dvm-Car Dataset, Yaman Abu Ghareebaih

Electronic Theses and Dissertations

The objective of this study is to predict car prices using machine learning models and the DVM-CAR dataset, which includes over 1.4 million images and car specifi- cations from 899 car models. Key factors such as mileage, engine power, and year of registration were analyzed for their correlation with car prices. Extensive data cleaning was performed, including filling missing values, identifying outliers, and normalizing numerical variables. Discrete variables like car make and body type were encoded using one-hot encoding. Linear relationships were analyzed with Multiple Logistic Regression, and Random Forest models were used for nonlinear patterns. Model performance was evaluated …