Digital Commons Network^™

Progress Towards Uranium Isotope Ratio Measurements Directly From Cotton Swipes With The Liquid Sampling – Atmospheric Pressure Glow Discharge (Ls-Apgd) Ionization Source, Joseph V. Goodwin

All Dissertations

The liquid sampling – atmospheric pressure glow discharge (LS-APGD) ionization source is a novel microplasma ionization source capable of ionizing a diverse set of both inorganic and organic chemical species including, ionic metal constituents as well as ligated metallic species, polyaromatic hydrocarbons (PAH), halogens, proteins, and even per/poly fluorinated alkyl substances (PFAS). The ability to generate ions from diverse chemical species, known as combined atomic and molecular (CAM) ionization, is not found with traditional ionization sources. In addition, the LS-APGD is capable of coupling with mass spectrometer platforms typically reserved for “organic” mass spectrometry, such as the high-resolution Orbitrap mass …

Assessing The Mental Health Benefits Of A School-Based Urban Gardening Program In Kosova, Imri Zabeli

All Dissertations

ABSTRACT

This study investigated the mental health benefits of a school-based urban gardening program for primary school students in Kosovo, where there is limited access to psychological support within educational settings. A quasi-experimental pretest-posttest control group design was employed, involving 112 students aged 9 to 11 from two public schools in Pristina, who were divided into an intervention group (n = 56) and a control group (n = 56). The intervention group engaged in an 8-week structured gardening program, while the control group followed the standard curriculum. Psychological outcomes were assessed using validated instruments, including the Perceived Stress Scale for …

Application Of Artificial Neural Network Algorithms For Irrigation Scheduling, Lisa Umutoni

All Dissertations

Neural networks have been extensively used in predicting soil water tension for improved irrigation scheduling and management. However, their lack of interpretability constrains their efficacy in grasping the nuanced patterns prevalent in soil water tension time series data. The first goal of this research was to develop interpretable deep neural network models for soil water tension prediction across multiple soil depths (0.15m, 0.3m, 0.46m and 0.6m) and prediction horizons (1h, 6h, and 12h). The Neural Hierarchical Interpolation for Time Series (N-HiTS) and Neural Basis Expansion Analysis Time Series (N-BEATS) models were used in this research. Historical soil water tension data …

Modeling Disaster Resilience Through A Human-Centered Lens: Exposure, Vulnerability And Adaptation, Tong Liu

All Dissertations

The core of reframing and operationalizing disaster resilience with a human-centered lens is to incorporate concepts from socio-ecological resilience into engineering resilience to better understand the humans’ capability for disaster adaptation. Existing studies have drawn practical implications by identifying actionable thresholds for infrastructure systems under disasters, which can be easily applied by policymakers, emergency managers and municipal agencies. However, how individuals interact with, respond to, or adapt under these infrastructure thresholds remain understudied. This hinders the operationalization of disaster resilience at the human scale.

First, I examined exposure by analyzing how configuration and distribution of urban infrastructure systems, such as …

Unsupervised Deep Learning For Video Restoration, Mary Damilola Aiyetigbo

All Dissertations

In today's digital era, visual data is vital across several domains such as medical diagnostics, scientific imaging, surveillance, and entertainment. However, video data often suffers from degradations like noise, blur, compression artifacts, and low resolution, which degrade quality and downstream usability. Video restoration aims to recover clean, high-fidelity video from such corrupted inputs. Unlike static images, video restoration must maintain temporal consistency across frames, making it a significantly more complex problem. While supervised deep learning methods have achieved state-of-the-art results, they typically require large datasets of paired noisy-clean video datasets that are scarce or impractical to obtain in real-world settings …

Homomesies And Toggleability Spaces, Alec Mertin

All Dissertations

We study the homomesy phenomenon under the rowmotion operator acting on order ideals of posets. We provide details for the extensions of several results in the literature concerning homomesies of toggleability statistics from finite to infinite orbits, which allows us to obtain homomesies for piecewise-linear and birational rowmotion, even in the case of infinite orbits. Integral to this is a novel generalization of a result in the literature, which relaxes the conditions needed to lift a statistic.

We completely describe the order ideal (resp. antichain) toggleability space for general fences: the space of statistics which are linear combinations of …

A Convergent Mixed Methods Study Of The Social Studies Academy In South Carolina Middle Schools, Audie Cherry

All Dissertations

There is a global labor shortage in the agricultural industry and middle school is a critical time to get students serious about career decision making. The Studies of Occupations, Culture, and Innovations toward Agricultural Literacy (SOCIAL) Studies Academy is a high impact professional development program in South Carolina that provides experiences and for middle school social studies teachers (N = 12) to become more suited to teach their standards associated with the agricultural sciences with hopes of encouraging more students to pursue agricultural careers. This study was a mixed-methods convergent parallel design that examined 1) Academy Fellows (n = 4) …

Preferred Plants And Nectar Collecting Times For Honey Production, David Macfawn, Jennifer M.K. O'Keefe, Sophie Warny, Carol Wymer, June Rampy Ponder

Clemson Extension Publishing

This book addresses three important questions for South Carolina beekeepers – which plants are bees in South Carolina using for nectar forage, when bees collect nectar from those plants, and how can understanding nectar foraging habits inform beekeepers as they work to gather specific types of premium honey? In 2021, the South Carolina Beekeeper’s Association, led by David MacFawn, designed and implemented a statewide pollen study, the first in any state in over fifty years, to answer these questions. Informed by data gathered from 19 apiaries across the state, this book contains the results of that study, including large-scale melissopalynological …

Addressing Instructional Capacity For English Learners Through Professional Development, Emily Howell, Lindsey W. Rowe, Mihaela Gazioglu, Nicole Ferguson-Sams, Victoria Pennington

Publications

Purpose – The purpose of this study was addressing the goal of the intervention to increase instructional capacity in a high-need district for English Learners (ELs).

Design/methodology/approach – This design-based research examined a cohort of K–12 general education classroom teachers and the impact of professional development (PD). The intervention had three essential elements: provide teachers with evidence-based practices of EL instruction in PD, assess self-efficacy for both EL students and teachers, and develop resources for EL caregivers based upon evidence-based practice and teacher feedback. This study reports the results focusing on the following research question: How does the intervention impact …

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 …

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 …

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 …

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 …

Statistical Designs For Learning User Preference And Experience, William S. Fisher

All Dissertations

For any organization, designing a new product or planning the features of a new service is a complex decision-making process which depends on understanding its users' preferences and the experiences they have with prototypes of the new product or service. Design of experiments (DOE) offers a framework to aid in the modeling and collection of data to learn user preferences and experiences to facilitate this decision-making process. Questions such as ``which of our newly proposed products is preferred most by our customers" and ``which version of our new service results in the highest monthly revenue" can be readily addressed by …

The Impact Of Irrigation On Agricultural Land Values In The United States Southeast And An Analysis Of Farmland Prices In South Carolina, Christopher L. Thomas

All Theses

Land is a key component of the agriculture industry in the United States. According to the United States Department of Agriculture, farm real estate (land and buildings) accounted for 82.8% of total US farm sector assets in 2022, consequently making land the largest source of wealth in a farmer’s investment portfolio and the primary source of collateral used for farm operating loans. The Southeastern region of the United States has seen rapid farmland appreciation and intense population growth in recent years. This research investigates the rising farmland prices across the Southeast from both a regional and state-level perspective. Chapter Two …

Modeling Dna Repair In Escherichia Coli Using A Boolean And Stochastic Framework, Gabrianne Ivey

All Theses

DNA can be damaged through both internal and external sources. Therefore, cells have created methods to repair DNA damage. In Escherichia coli, the system responsible for DNA repair is termed the SOS response. This system consists of more than 50 genes and contains three main repair pathways: nucleotide excision repair, translesion synthesis, and homologous recombination. The response is initiated when DNA lesions result in the accumulation of single-stranded DNA (ssDNA). The protein RecA is activated by binding to ssDNA and is then denoted RecA*. RecA* assists in the auto-cleavage of LexA which is the primary repressor protein involved in …

Performance Of Inline Compression With Software Caching For Reducing The Memory Footprint In Pysdc, Emily Lattanzio

All Theses

The volume of data required for High Performance Computing (HPC) applications is growing faster than the memory storage available to store the required data, leading to performance bottlenecks in transferring data. Whether sending data from main memory to computation nodes or between parallel processes during runtime, the more data there is to send, the longer it will take to for that data to be sent from one location to the next. Hence the need for inline data compression, which reduces the amount of allocated memory needed by storing the largest data structures in a compressed format and decompressing/recompressing single variables …

Fit To Stay: Understanding The Impact Of Person-Group Fit On Transfer Intentions In College Sports, Marlee Johnson

All Theses

NCAA policy changes in 2021 regarding student-athlete transfer and external compensation have brought attention to the issue of turnover in college sports. Organizational psychologists have been studying turnover intentions and psychological antecedents of turnover intentions for years; however, little is known about the psychological variables that lead student-athletes to develop transfer intentions. The aim of this study was to explore the influence of both perceived supplementary and complementary person-group (PG) fit on student-athletes’ transfer intentions. It also examined affective commitment as a mediator between supplementary PG fit and intention to transfer and perceived team performance as a moderator in the …

Impacts Of Cognitive Workload On Veteran Driver Reaction Time: Predictive Modeling Using Bayesian And Machine Learning Methods, Kenneth Ofosu-Kwabe

All Theses

In high-demand environments, the ability to manage cognitive workload can mean the difference between optimal or safe performance and critical failure or accidents. Veterans face an elevated risk of fatal motor vehicle accidents due to post-deployment stress, combat-related injuries, and challenges readjusting to civilian driving. This study explores how cognitive workload affects reaction time performance using a driving simulator by collecting and analyzing subjective workload ratings (using the NASA-TLX survey), physiological signals from eye-tracking and performance data from a sample of 28 Veterans.

We examined how task difficulty, cognitive indicators and personal attributes influence reaction times across an interactive driving …

Biodegradable Active Packaging: Exploring The Antimicrobial Efficacy And Compostability Of Chitosan-Based Films, Rachel Mchugh

All Theses

The overarching purpose of this experiment is to create an active packaging component that has both antimicrobial and biodegradable properties specifically designed for poultry food products. For the scope of this study, the packaging component created would theoretically be used in conjunction with another material, such as a poultry tray which are commonly used for fresh poultry products. Based on the scope and purpose of this experiment, biopolymer films and coatings were considered after the initial literature review. Due to the goals of the packaging component, chitosan, a polysaccharide shown to have antimicrobial properties and an inherent ability to biodegrade, …

Bim-Based Automated System For Carbon Emissions And Construction Costs Estimation (Bas-Cc) In Modular Design And Production, Roshan Bandiwadekar

All Theses

Modular construction adopts a manufacturing-like construction process, enhancing the management of embodied carbon emissions in production and construction phases. However, estimating these emissions presents challenges due to the involvement of diverse stakeholders across various lifecycle stages. Additionally, cost considerations often influence design choices and material selections in modular constructions, neglecting the impact of embodied carbon emissions. To address these challenges, we present a proof-of-concept for an automated Building Information Modeling (BIM)-based system to estimate both carbon emissions and construction costs. This system automates the calculation of embodied carbon and cost implications of different modular designs and materials, enabling informed decision-making. …

Evaluation Of High Temperature Borehole Heat Exchangers For Thermal Energy Storage, Robert J. Mcdaniel

All Theses

The development of renewable power sources like solar panels and wind turbines is crucial to lowering greenhouse gas emissions and slowing the increase in global temperature. These sources are limited by the intermittency of power output depending on factors such as weather or time of day. Storing energy during periods of peak productivity improves the efficiency of renewable sources and makes them more competitive with fossil fuels. The excess energy can be stored underground as heat. At high enough temperatures (>150ºC) and discharge rates (>70 kW) the stored energy can be converted back into electricity. This turns the …

Application Of Regression Techniques On Designed Economic Data, Naomi O. Edegbe

All Theses

Evaluating stock market data and public companies' performance is an overwhelming task for day traders and brokers in the United States and internationally. As a financial metric of a company's overall valuation, earnings per share is a commonly researched measure of a company's profitability. We investigate relationships between earnings per share, multiple financial measures reported from company income statements, and classifiers such as market capitalization and sector. Multiple linear regression models are developed and assessed for this data. Results conclude that there is a significant difference between sectors and earnings per share recorded for a given company. Individual stock analysis …

Modality Distillation Using A Sam-Guided Multimodal Teacher For Unimodal Wildfire Segmentation And Temperature Prediction, Michael N. Marinaccio

All Theses

Wildfires are one of the world’s most devastating natural disasters that affect the environment, communities, and more critically, humans that live in and around those communities. Due to the threat of large-scale destruction in landscapes and human inhabited areas, it has become increasingly more important to develop wildfire detection, management, and suppression strategies to mitigate and prevent these negative outcomes. Wildfire research encompasses many different areas. Most notably, the development of communication, navigation, remote sensing, and monitoring systems. In wildfire monitoring, limitations discovered in-ground and satellite observation have shifted the focus toward Unmanned Aerial Vehicle (UAV) based wildfire research, which …

Evaluating Climate Benefits In The Conservation Reserve Program: Methane Emissions And Carbon Storage In Restored Wetlands, Annika Kuleba

All Theses

As climate change progresses, Nature-based Climate Solutions (NbCS) have emerged as a key strategy for mitigation. Historically, wetlands were drained to increase arable land area, resulting in habitat degradation and soil erosion. To address these issues, the United States Department of Agriculture (USDA) incentivizes wetland restoration under the Conservation Reserve Program (CRP), in which landowners retire agricultural land to reestablish native habitat. Although wetlands can act as carbon sinks, they are also sources of methane, a more potent greenhouse gas (GHG). Therefore, the effectiveness of wetlands as a NbCS remains under debate due to assumed high methane emissions. Wetland functions …

Tradespace Exploration With Statistical Modeling Techniques And Immersive Visual Representation In Virtual Environments, Nikhil Raj

All Theses

Statistical modeling techniques combined with virtual reality (VR) visualization offer powerful new approaches to tradespace exploration in engineering design. The research presented addresses the challenge of analyzing and communicating insights from complex multidimensional datasets, particularly for autonomous ground vehicle systems.

Beginning with a review of statistical methods—including Principal Component Analysis (PCA), Analysis of Variance (ANOVA), and correlation analysis—the study examines their applications in tradespace exploration. Building on this foundation, three distinct visualization pathways connecting MATLAB data to virtual environments are developed and evaluated: VRML representation, STL conversion, and Blender integration. Each approach is assessed for its ability to maintain data …

Identification And Environmental Impact Of 35 Different Cut Flower Retail Packages In The U.S.A., Mary Kathryn Gillespie

All Theses

Cut flowers represent 35-billion dollars of global spending with 10-million dollars per day in the U.S.A; each transaction involving packaging. Across the country, cut flower packaging is inconsistently sized, laminated, colored, and unlikely to be recycled. 35 unique cut flower packages were collected across 16 different marketplaces, representing 88% of top grocery retailers. Measuring the materiality of the predominately unlabeled and inconsistent packaging collected required calorimetry equipment, such as Fourier-transform Infrared Spectroscopy, Differential Scanning Calorimeter, and precision gauges. Results unveil five materials representing the cut flower collection: Oriented Polypropylene (OPP), High-Density Polyethylene (HDPE), Paper, Polyethylene Terephthalate (PET), and Nonwoven Polypropylene …

Novel Methods For Assessing And Prioritizing Road-Stream Crossings For Aquatic Organism Passage, Lesley E. Twiner

All Theses

Anthropogenic barriers such as dams and culverts have led to riverine habitat fragmentation and decreased fish diversity worldwide. Low-head structures such as culverts are far more abundant than large dams and may have a larger cumulative impact on river connectivity. Many efforts to inventory road crossing barriers and prioritize removal and restoration efforts do not consider temporal variation in flow. We used cameras to gain continuous water level monitoring data to quantify the relationship between precipitation events and outlet drop height. In the spring of 2024, we selected 25 culvert sites in upstate South Carolina and set up cameras to …

Efficient Solvers And Anderson Acceleration For The Bingham Equations, Victoria L. Fisher

All Theses

This work studies two techniques utilized to solve the Bingham equations that model viscoplastic flow. An Uzawa-type iterative procedure is first analyzed and tested for poor convergence of velocity and stress. We apply Anderson acceleration (AA) to this method and show improved convergence rates for both velocity and stress. A solver utilizing regularization is introduced, and AA is also applied to display better convergence results. We propose a new method that combines these two solvers and applies Anderson acceleration.

How A College Course Benefits Under-Resourced High Schoolers Interested In Veterinary Medicine, Gwendolyn R. Svenson, Olivia Arnold, Patricia Vigil, Naomi Nishi, Christianne Magee

Journal of Youth Development

The Veterinary Perspectives Institute (VPI) was designed to address the challenges faced by underrepresented youth who are interested in veterinary medicine. This study examines the VPI, a tuition-free program that introduces students from under-resourced high schools to veterinary medicine and One Health through a hands-on, transdisciplinary approach. The VPI integrates One Health concepts by linking human, animal, and environmental health in the context of veterinary medicine. The program’s aim is to foster college readiness and career exploration in veterinary and biomedical fields, while also addressing barriers to diversity in veterinary medicine. Through hands-on learning and case studies in One Health, …