Digital Commons Network^™

The Development And Application Of A Method To Simulate Commotio Cordis Inducing Impacts For The Evaluation Of Football Chest Protective Equipment, Bianca J. Henline

All Theses

As one of the most widely played and watched contact sports in the United States, football presents a significant risk of blunt chest trauma. Thus, effective chest protection is essential to prevent rare but fatal injuries like commotio cordis. Despite this, current test methods for certifying chest protective equipment fail to account for injury metrics relevant to commotio cordis events. Recent literature identifies rib deformation and viscous criterion as critical predictors of commotio cordis, yet these metrics are not adequately addressed in the existing testing standard. Furthermore, this standard exclusively assesses chest gear specific to baseball and lacrosse through projectile …

The Effects Of Incremental Application Of Chemical Defoliants On Cotton Fiber Quality, Aashish Karki

All Theses

Leaf shedding is a natural process as cotton matures; however, this does not synchronize with harvest timing; therefore, defoliants are used to remove these leaves and improve harvestability of the bolls. A tractor-mounted boom sprayer is typically used to apply defoliants. However, this approach results in low penetration to the bottom canopy, poor defoliation, and, consequently, lower fiber quality. An autonomous robotic spraying system equipped with pulse width modulation technology enables targeted side-spraying of defoliants, overcoming the limitations of conventional over-the-top applications. However, limited information on staggered defoliation timing and its effect on cotton fiber quality is available. Thus, field …

Effectiveness Of Electrosynthesized Hydrogen Peroxide In Urease Inactivation For Stabilization Of Source-Separated Urine To Recover Urea, Brooke E. Covert

All Theses

The practice of separating urine at a building scale, rather than mixing with domestic wastewater to be treated at water resource recovery facilities, allows for concentrated urine to be directly treated with the aim of resource recovery. However, source separation and treatment present challenges during separation, storage, and transport. This study evaluated the use of hydrogen peroxide-producing electrochemical cells, which represent a technology that uses electricity as an input, to stabilize urine through cathodically produced peroxide to enable downstream water and nutrient recovery. The electrochemical cells have been previously shown to stabilize urine with electrochemically produced peroxide as an effective …

Mission-To-Designs: Automating Uav Conceptual Design Generation, Nana A. Adjei

All Theses

The conceptual design stage of Unmanned Aerial Vehicles (UAVs) is an exploratory phase where designers are tasked with developing and evaluating a wide range of viable design concepts, considering different geometries and configurations based on mission requirements. The goal is to identify the most suitable design after the exploration for further development and progression to the next phase. Several tools and frameworks have been developed to assist designers in this stage, each offering unique capabilities, but all with the common aim of aiding in the efficient development and evaluation of conceptual designs. This is important in the UAV design process …

Small Stream Restoration In The Piedmont Of South Carolina: Comparison Of Evaluation Tools And Water Quality’S Effects On Salamanders, Camryn Lachica

All Theses

For many years, the United States Army Corps of Engineers (USACE) used the Guidelines for Preparing a Compensatory Mitigation Plan worksheets to guide pre-restoration evaluation and determine post-restoration mitigation credits in South Carolina. Recently, the USACE in South Carolina transitioned to the Stream Quantification Tool (SQT), which provides a more comprehensive assessment framework. Our first objective was to compare these assessment methodologies across different landscape types to determine what the SQT adds to mitigation calculations that were not considered in prior worksheets. We evaluated 16 streams in the Piedmont of South Carolina, with four replicates each of forested, suburban, urban, …

Biological Hydrogen Process Improvements By High Temperature Simultaneous Saccharification And Fermentation, Frank W. Jeffries V

All Theses

The hyperthermophilic bacterium Thermotoga neapolitana is established as a versatile organism for fermentative hydrogen (H₂) production. Batch experiments were carried out to investigate the cell yield, product yield, and kinetic parameter values for individual media containing five carbohydrates. The highest H₂ yield of 15.56±0.31 mmol-H₂/g-carbohydrate was reported for glucose medium. H₂ yield was measured to be 14.51±0.38, 14.44±1.15, 11.88±0.84, and 11.53±0.73 mmol/g for media containing xylose, cellobiose, arabinose and xylan respectively. Acetic acid yield followed a similar trend, where the obtained values were 0.470±0.01, 0.462±0.04, 0.431±0.01, 0.409±0.03, and 0.406±0.01 g-acid/g-carbohydrate for glucose, cellobiose, xylose, …

A Study On Student Experience In Graphic Communications 1040/1 Summer Accelerated Course, Wren A. Dudley

All Theses

The Department of Graphic Communications at Clemson University offered a 10-day accelerated summer course for students enrolled in Graphic Communications I. This study involved a small sample size, with only four students enrolled in the course, limiting the distribution of data. To evaluate its effectiveness and help determine whether the course should be offered in the future, the researcher asked students to complete a course experience survey. Based on student feedback and survey results, the researcher concluded that the department should continue offering this course. Students identified the flexible class schedule and small class size as key factors contributing to …

Decision Field Theory For Human-Multi-Robot Collaboration: Human-Centric Decision-Making For Multi-Robot Systems, Ryan Mbagna Nanko

All Theses

At first glance, choosing between an apple and an orange appears to be a straightforward matter of personal taste; however, this seemingly simple preference opens a window into the multifaceted world of decision-making, revealing the complex interplay of cognitive processes, psychological, and behavioral-economic principles that guide our choices \cite{bandyopadhyayRoleAffectDecision2013}. By unpacking these nuanced perspectives, we uncover insights that can drive more effective human-robot interaction and collaboration.

Modeling human cognition requires understanding the evolution of choice utility and the influence of emotions. Decision Field Theory (DFT) stands out by capturing the fluctuating nature in human preferences over time, explaining why choices …

Wires, Roads, And Real-World Challenges: An Interdisciplinary Case Study Bridging Roadway And Electric Utility Design, Juliann A. Lloyd

All Theses

Electric utilities are a foundational component of modern society and depend heavily on civil engineers for planning, design, construction, and maintenance. However, educational content related to this industry is often underrepresented in civil engineering programs. To bridge this gap, a case study activity was implemented in two transportation engineering courses at Clemson University. The case study introduced students to the integration between electric utility infrastructure and roadway design by simulating a realistic and common conflict scenario faced by Departments of Transportation (DOTs) nationwide.

Students were placed in interdisciplinary teams, with each member assigned a specialized role such as Land Agent, …

Optimizing Park Locations While Considering Resident Behavior, Lu Liu

All Theses

Urban parks and green-spaces significantly enhance community well-being by improving physical health, mental wellness, and environmental quality. Given these extensive benefits, ensuring fair and widespread access to urban parks represents a critical priority in urban planning. Despite the advantages of parks, optimizing their location poses unique and complex challenges distinct from traditional facility location problems, such as those involving emergency services or schools. The core distinction arises from the decentralized nature of residents’ park selection behaviors. Unlike centralized allocations typically managed by public administrators, park usage decisions are driven by individual preferences and behaviors. This decentralized decision-making introduces two additional …

Heat Storage Using High Temperature Borehole Heat Exchangers, Jack Horvath

All Theses

The use of renewable energy sources such as wind and solar power is growing, and with it comes an increased need to store excess energy when it is generated and release it on demand. Moderate temperature thermal energy storage in the subsurface is widely used to heat buildings, but high temperatures, greater than 120℃, are required to power generators that convert stored heat to electricity. High temperature heat can be generated from solar collectors or other means and then transferred to the subsurface using borehole heat exchangers (BHE). A BHE consists of a closed-loop pipe system used to circulate a …

Expandable Tissue Engineered Living Pulmonary Heart Valve For Pediatric Patients, David Podolsky

All Theses

Cardiovascular disease is an extremely deadly disease that affects people throughout the world. It is the leading cause of death worldwide, affecting over a quarter of the population.1 Some forms of cardiovascular disease directly affect the heart valves and their function. Surgery or a replacement device are the most common current treatment options. These treatments are effective in addressing heart valve diseases in adults, but they are less effective when used for children patients. This creates a need to develop a solution for the child population.

Congenital heart defects are structural abnormalities that often lead to infant mortality.2,3 Pulmonary valves, …

A Study On The Propagation And Exploitation Of Structured Light In Underwater Turbulence, Jaxon P. Wiley

All Dissertations

The development and optimization of optical systems will play a pivotal role in the continued exploration and exploitation of the world’s underwater environments. These systems offer advantages in many sectors, and includes applications in areas such as high-speed communication, advanced sensing and imaging, and environmental characterization and monitoring. Underwater environments offer a plethora of challenges, however, and mitigating these obstacles remains an arduous task. In this work, the inherent advantages of structured light are leveraged to optimize optical system performance through non-ideal underwater conditions. Additionally, fundamental relationships between the generation of specified structured modes and their interactions with complex environments …

Multiple View Neural Regression Of A Facial Shape Model, Xiang Li

All Dissertations

Creating re-topologized 3D facial meshes is a critical step in high-quality facial animation pipelines, yet it remains a labor-intensive and time-consuming task. Traditional approaches typically rely on multiview stereo reconstruction and specialized photometric environments to acquire accurate geometric and reflectance data under controlled conditions. This dissertation presents work toward more efficient capture of production-ready meshes including (1) developmental aspects of VarIS, a custom-designed light sphere capable of capturing high-resolution stereo geometry and reflectance maps—including diffuse, specular, and normal components under programmable illumination; (2) a study of the effects of camera parameters on automatic 2D and 3D landmarking methods, (3) methods …

Advancing Life Cycle Assessment For Environmental Sustainability Of Carbon Fiber-Reinforced Polymer Composites (Cfrps)), Hao Chen

All Dissertations

Carbon fiber-reinforced polymer composites (CFRPs) have emerged as promising materials, particularly for lightweight applications, with the potential to reduce environmental impacts across multiple sectors, including automotive, aerospace, and renewable energy. However, fully realizing their sustainability potential requires a more comprehensive and context-specific understanding of their environmental performance throughout the entire life cycle—from raw material production to end-of-life management.

This dissertation advances life cycle assessment (LCA) practices for CFRPs by addressing key challenges across multiple phases of the CFRP life cycle. First, I conducted a critical review and meta-analysis of carbon fiber manufacturing, revealing substantial variability in reported data on energy …

Influence Of Experience And Risk With Natural Hazards On Geoscience Interest And Career Expectations, Shannon Conner

All Dissertations

Understanding student interest in geoscience is important, as it has the potential to inform departmental decisions such as the selection of classroom examples and marketing strategies to attract new geoscience majors. Recruitment to geoscience is critical to address future social and environmental challenges. Our work may also provide insight into how to approach persistent recruitment problems within departments, such as student enrollment and the lack of diversity within the geosciences. This work involves developing a geoscience interest scale, integrating geospatial and educational data sets related to hazard risk and interest, and an exploring career motivations as related to natural hazard …

Effects Of Lossy Compression Data On Machine Learning Models, Max H. Faykus Iii

All Dissertations

Machine learning is a fundamental tool that is incorporated in every field across academia and other industries. Due to the large amount of data needed for training machine learning models, lossy compression plays a crucial role in storing data. Machine learning involves the use of algorithms and models to learn patterns in data. This allows the AI to make decisions without specific programming. On the other hand, compression utilizes encoding and decoding techniques to reduce the size of files. Compression is either lossy or lossless, lossy causes a loss of data while lossless preserves the data. This dissertation will explore …

From Pencil To Pixel: How Leadership Shapes Organizational Responses To Competence-Destroying Technological Change, Jennifer Underwood

All Dissertations

This dissertation examines how managerial leadership enables organizations to overcome inertia during competence-destroying technological change through a historical comparative case analysis of the animation industry's transition from hand-drawn to computer-generated imagery (CGI) between 1980-2000. Drawing on archival data from Disney, Pixar, and Don Bluth Studios, I identify three distinct leadership approaches—pioneering, bridging, and preserving—that differently influenced how workforces adjusted their views of identity, process, and change. These adjustments led to three different outcomes: transformative integration, constrained adoption, and entrenched resistance. This research makes three theoretical contributions and develops a novel framework that explains how leadership can constrain or enable transformation, …

Organizational Metamorphosis: When Artificial Intelligence Transforms Companies Into New Economic Life Forms, Allan M. Glass

All Dissertations

Traditional theories of organizational change fall short in explaining how artificial intelligence (AI) transforms organizations. This grounded theory study, based on interviews with 34 organizational leaders, identifies a novel phenomenon: organizational metamorphosis - the irreversible transformation of organizations into fundamentally new entities through deep integration with AI as a cognitive partner.

The metamorphosis process unfolds in three phases. Individual Awakening occurs when leaders experience powerful interactions with AI, prompting a rapid shift from skepticism to advocacy. Once a critical mass of leaders undergo this shift, it initiates Organizational Restructuring, characterized by reimagined work design, boundary dissolution, and altered temporal rhythms. …

Evaluating The Impact Of Medicaid Expansion On Non-Small Cell Lung Cancer Care And Health Disparities, Marvin Idoteyin Okon

All Dissertations

Persistent disparities in non-small cell lung cancer (NSCLC) outcomes reflect broader structural inequities shaped by race, place, and socioeconomic conditions. This dissertation examined trends in NSCLC outcomes over the past two decades and evaluated the impact of Medicaid Expansion (ME) under the Affordable Care Act on improving outcomes and reducing disparities, especially in marginalized communities.

Using nationally representative datasets, three interrelated studies were conducted. The first assessed trends in NSCLC incidence, early-stage diagnosis, and 3-year survival from 2002-2021, stratified by metropolitan status, deprivation (Social Deprivation Index), and segregation (Index of Concentration at the Extremes). While incidence declined and early-stage diagnosis …

Melts To Solutions: Structure, Dynamics, And Response Of Polyelectrolytes, Shalika Meedin

All Dissertations

The current research elucidates the changes in the structure and motion of polyelectrolytes as they are perturbed by solvents and shear flows. Polyelectrolytes are macromolecules whose backbone consists of long, predominantly hydrocarbon chains, substituted by ionizable groups, which tend to dissociate into ions in polar solvents. Their properties result from a delicate balance of elastic energy that arises from the polymeric backbone and electrostatic forces, which stem from the ionizable groups. Though polyelectrolytes have an immense potential to propel numerous technologies, from clean energy to drug delivery systems, understanding the delicate balance between the properties of the polymer backbone and …

Accurate Temporal Integration Schemes For Nonlinear Adsorption Problems, Evan D. Butterworth

All Dissertations

We consider a nonlinear transport problem to model the chromatography process of high-capacity multimodal membranes. Robust and efficient algorithms that simulate these bioseparation processes are critical to developing therapeutics for various chronic illnesses and infectious diseases. However, much of the current methodology focuses on stabilization and linearization techniques, often implementing low-order time-discretizations and linearized adsorption, resulting in inefficiencies and inaccuracies in the numerical solution. Utilizing Rothe's method, we develop various time-discretization schemes coupled with the finite element method to solve the fully implicit problems. Stability and solvability results are presented for several methods. Through multiple high-level software implementations paired with …

Culturally Relevant Pedagogy In Undergraduate General Chemistry, Destinee J. Cooper

All Dissertations

General chemistry is a foundational course for advancement in most undergraduate STEM programs, but unfortunately, many students do not continue in STEM after their experiences in their general chemistry course. Culturally relevant pedagogy (CRP) has the potential to increase students’ positive experiences in general chemistry by centering their needs, identities, and backgrounds. However, this pedagogical approach has not been widely studied in the college general chemistry context. As such, my four-paper dissertation broadly aimed to explore both the implementation and outcomes of CRP in undergraduate general chemistry.

The first paper reviewed the literature on culture-based pedagogies across the full undergraduate …

Towards Securing Ai Systems: Investigating Threats In Multimodal Autonomous Driving & Rag Systems, Saket Sanjeev Chaturvedi

All Dissertations

Artificial Intelligence (AI) systems have become central to high-stakes applications such as autonomous driving and language-based decision support. As their deployment accelerates, ensuring the security and trustworthiness of these systems becomes paramount. Among the most stealthy and potent threats are backdoor attacks, where models behave as expected under normal conditions but exhibit malicious behavior when triggered by specific inputs, either digital or physical.

This thesis investigates novel backdoor and adversarial vulnerabilities across two emerging classes of AI architectures: (1) multimodal 3D object detection systems that fuse LiDAR and camera data, and (2) Retrieval-Augmented Generation (RAG) systems that pair large language …

Exploring The Socio-Cultural Dynamics Of Nocturnal Urban Landscapes: A Case Study, Jie Kong

All Dissertations

This dissertation explores nighttime social leisure activities in public parks within urban working- and middle-class communities. As cities confront climate change, shifting work schedules, and post-pandemic lifestyles, neighborhood parks have gained renewed importance after dark, especially in areas where households have limited private space. These non-commercial nighttime uses are often overlooked in planning, design, and built environment studies, yet they play a vital role in fostering cultural identity, social connection, and community well-being.

Focusing on Williamsburg and Bushwick in Brooklyn, New York, this research investigates how public parks are used at night, by whom, and for what purposes. New York …

Online Multiobjective Optimization, Kristen Joyce

All Dissertations

Online optimization (OO) is an iterative process of decision making under uncertainty. At every step, a decision is made before the outcome of this decision is known. For the online optimization model, the objective function is unknown at the time the decision is being made. It is very likely that the taken decision is not optimal, so the decision maker incurs a loss, called regret, in every iteration. The goal of the online optimization algorithm is to compute a decision at every step so that the overall regret cost is minimized. In particular, the average regret produced by an ideal …

Flipping The Script?: The Development And Validation Of A Qualitative Framework For Identifying Key Cognitive And Attitudinal Components Of Conflict-Based Problem Representations, Kyle Christenson

All Dissertations

When people work together, disagreements are inevitable. How someone understands a given conflict, specifically whether they see it as a shared problem or not, can shape how they respond and whether they look to resolve it collaboratively. Researchers have studied many aspects of conflict, like what causes it and the strategies people use to manage it. But we know much less about how people think about conflict in the first place and how those thoughts affect efforts to manage conflict. This research developed a tool to study how people describe conflicts in writing. It identifies key ideas and attitudes that …

From Cities To Ranches: Assessing Public Support For Jaguar (Panthera Onca) Conservation And Livestock Predation In Colombia, Luz Angelica Solano

All Dissertations

Jaguars are among the most emblematic large carnivores worldwide. Nonetheless, the species has declined by 25% in less than 25 years and their range has been reduced by 55%, approximately, primarily due to habitat loss from increasing agricultural development, retaliatory killings from human-jaguar conflict, and overhunting of their natural prey. Given the anthropogenic nature of these threats, developing effective coexistence strategies and public support for jaguar conservation are increasingly urgent for the continued persistence of this species. I conducted a scoping review to assess trends and gaps in the existing peer-reviewed literature, grey literature, and news articles related to human-jaguar …

Studies On The Effects Of Operator Fatigue On Performance, Trust, And Workload Demand In Human-In-The-Loop Ai-Enabled Drone Systems, Snowil Lopes

All Dissertations

Civil infrastructure must be regularly inspected to ensure its safety and reliability. Traditionally, risk engineers performed these inspections manually and in person. However, with the introduction of drones equipped with artificial intelligence (AI), inspections of civil infrastructure can now be conducted remotely. These AI-enabled drones capture and analyze images, helping engineers monitor large and complex structures from a distance. However, working with integrated systems consisting of multiple drones, especially those with varying levels of reliability, can be challenging. Operators must divide their attention, determine how much to trust each drone, and manage mental workload, which can affect their performance. Another …

Empowering Employability: Voices Of Black Women Leveraging Community Cultural Wealth In An Undergraduate Agricultural Program, Rose Marie Somers

All Dissertations

Across the nation, agricultural industry professionals have bemoaned the shortage of qualified professionals, expressing an expanding need for graduates with a blend of discipline-specific and employability skills to advance the sector. Research indicates that the future of the US agriculture sector hinges on a diverse and skilled workforce. Yet, a paucity of literature exists on Black women's enduring legacy, experiences, and how they understand and develop 21st-century critical transferable professional competencies needed to address complex challenges in modern agriculture. Black women have a long tradition in agriculture and a wealth of cultural knowledge, skills and innovations that are untapped. This …