Digital Commons Network^™

Influence Of School Climate On Comprehensive School Behavioral Health Effectiveness, Halle Rose Singer

Theses and Dissertations

Youth are experiencing a sharp rise in mental health concerns, which have reached critical levels. Schools have emerged as a key setting for delivering mental health services due to their accessibility, familiarity, and capacity to reach diverse populations. Comprehensive School Behavioral Health (CSBH) systems offer a multi-tiered, evidence-based framework for supporting the mental health of all students. However, the success of CSBH interventions varies across schools presumably indicating that systemic or school level factors, like school climate, may influence youth mental health outcomes. In this study, I investigate how school-level factors, specifically student-perceived school climate, influence the mental health outcomes …

Synthesis And Characterization Of Lanthanide Extended Structures And Their Novel Transuranic Analogues, Hunter Bernard Tisdale

Theses and Dissertations

The United States owns a substantial amount of radioactive waste as a result of decades of research, weapons manufacturing, and nuclear energy production. As nuclear energy and research continue to add to our stockpiles of waste, the issue of remediating this waste becomes more pressing. Many of the radioactive constituents of this waste, such as the transuranic (Z > 92) elements, will give off radioactivity at harmful levels for millennia. Thus, a robust method of storing this waste is paramount to ensuring public safety. Currently, nuclear waste is being processed by vitrifying it in borosilicate glass. However, this method has shortcomings …

Investigating The Influence Of Instructional Strategies On The Development Of Procedural And Conceptual Knowledge In Advanced Algebra Ii Students, Maura Frances Yinger

Theses and Dissertations

This mixed-methods action research study investigated the influence of instructional strategies shown to improve students’ procedural and conceptual understanding in a rational expressions and equations unit in Advanced Algebra II. The instructional strategies used in the study include comparing, self-explaining, and exploring before instruction. The students (N=27) completed a pre-test and a post-test, both of which were followed by questions asking students to justify their responses on two questions. All students also responded to six digital self-explanation journal prompts. Randomly selected students were placed into three homogenous groups to participate in performance task observations. Analysis of the data …

The Case For Using Student-Generated Goals To Cultivate Strong Readers, Heather Anne Wyman

Theses and Dissertations

This mixed-methods action research study explored how to motivate seventh-grade students to become stronger readers. I empowered my students by giving them the autonomy to set their own Lexile goals and develop plans to reach them, offering goal-setting lessons along with feedback and support. Students were motivated to meet the goals they created. Lexile assessment data from two benchmark periods enabled me to determine students’ growth, and survey and interview data helped me to determine their perceptions of their increase in self-efficacy and motivation to achieve. While most students did not meet their self-identified Lexile goals, most made academic progress, …

Journey Toward Collective Efficacy: ​The Impact Of Lesson Study In A Professional Learning Community, Julia Rose Pabst

Theses and Dissertations

This mixed methods action research study investigated the impact of a lesson study protocol on elementary teachers’ confidence through the implementation of the Three Read Close Reading Protocol (3RCRP), a research-based reading comprehension strategy. This study, grounded in Bandura’s Social Cognitive Theory, explored how collaborative and practice-based professional learning could bridge the gap between pedagogical knowledge and classroom practice to enhance teacher self-efficacy. The primary research questions focused on how participation in a lesson study influenced teachers’ self-efficacy and which aspects of the protocol were perceived as most influential. Four participants and one participant-observer engaged in a series of Professional …

Developing A Comprehensive Schoolwide Discipline Plan In Title 1 Southern Schools, Rose Clark Kebe

Theses and Dissertations

This qualitative case study explored how teachers in Title I schools across the southern United States perceived and experienced school discipline practices. The study addressed the problem of inconsistent implementation of restorative and preventive frameworks, which has contributed to inequitable outcomes, teacher frustration, and lost instructional time. Although initiatives such as Positive Behavioral Interventions and Supports (PBIS) are mandated across many districts, inconsistent use and limited fidelity have restricted their effectiveness in improving equitable discipline and school climate.

The purpose of the study was to examine teacher perspectives to inform the development of a culturally responsive, schoolwide behavioral system grounded …

Inspiring Girls To Fill The Blank Space In Stem: The Impact Of An After-School Coding And Robotics Club On Elementary Female Students' Engagement And Self-Efficacy In Computer Science, Lisa Guenther Wilbanks

Theses and Dissertations

The purpose of this action research was to describe how participation in an after-school coding and robotics program influenced elementary female students’ engagement and self-efficacy in computer science. According to a 2023 report from the National Science Foundation, in 2020 women earned only 21% of computer science degrees and 24% of engineering undergraduate degrees in the United States. As two of the fastest growing fields, the lack of female perspectives and experiences will continue to limit innovation in these areas. Studies show that gender gaps in engagement and self-efficacy in STEM begin long before students enter college and the workforce, …

A Qualitative Study Exploring Teachers’ Beliefs And Practices Supporting African American Male Readers, Rhonda Douglas Sumter

Theses and Dissertations

Despite decades of educational reform, African American male students continue to experience persistent disparities in reading achievement. This qualitative case study explores the beliefs and pedagogical practices of three elementary educators identified as effective in supporting the reading development of African American males. Drawing on the frameworks of Culturally Relevant Pedagogy (Ladson-Billings, 1995) and Critical Race Theory (Delgado & Stefancic, 2012), the study seeks to illuminate how educators affirm students’ identities, maintain rigorous expectations, and create responsive learning environments that foster academic success.

Data sources included in-depth teacher interviews and classroom observations. Thematic analysis revealed three interconnected practices across cases: …

Behind The Gens: A Bioarchaeological Study Of Kinship Structure And Social Change In Iron Age Latium, Italy, Andrea Noemí Acosta Caballero

Theses and Dissertations

The cemetery of Osteria dell’Osa is the only completely published Iron Age cemetery from Latium. Its research legacy continues as dietary, mobility, and biological affinity patterns were reconstructed through carbon, nitrogen, oxygen, and strontium isotope analyses and biodistance analysis using bone and dental samples for this dissertation project. The main hypotheses tested are:

a) The diet of people buried at Osteria dell’Osa during the Iron Age likely consisted of mostly grains like wheat and barley, which may yield low carbon isotope signatures;

b) The protein consumption of the diet of people at Osteria dell’Osa was mainly composed of terrestrial protein …

Food Insecurity And Social Connection Of Nicaraguan Refugees And Asylum Seekers In Costa Rica: A Qualitative Study, Keren Herran

Theses and Dissertations

Background

Given the physical and mental health consequences of food insecurity, solutions should be evidence-based and seek to prioritize vulnerable populations. This qualitative study adds to limited literature on how refugees and asylum seekers use their social connections to mitigate food insecurity by investigating how Nicaraguan refugees and asylum seekers in Costa Rica foster social connections and use these connections to acquire and manage food.

Methods

In fall 2024, 35 in-depth semi-structured interviews were conducted in San José, Costa Rica. Participants were recruited through six migrant-serving nonprofit organizations. For study inclusion, participants had to: 1) be 18 or older; 2) …

Influence Of Channel Geometry And Inflow Hydrograph On Hydraulics And Air Volume Around Shafts Of A Stormwater Main, Lylie Vindie Wilkie

Theses and Dissertations

Stormwater management in urban areas is complex, in part because of difficulties related to modeling water flowing in closed conduits, as well as to controlling odor, noise, and pipe corrosion. This thesis summarizes the main findings of a study on how changes in inflow discharge and the geometry of a stormwater main may affect water flow, and how changes in water depth impact air volume and pressure around an air shaft. The study is conducted using CHAN, a one-dimensional model that simulates both flow hydraulics in mains and associated changes in air volume and pressure around air shafts. Main difference …

Ai-Driven Autonomous Manufacturing: A Novel Taxonomy, Vision-Guided Planning, And Diversity-Aware Active Learning Frameworks, Ibrahim Yousif

Theses and Dissertations

Manufacturers face two opposing challenges: the escalating demand for customized products and the pressure to reduce lead times. Current manufacturing equipment, although reliable, operates at the limits of its technology and lacks adaptability to dynamic environments. This trade-off has been described as the optimal degree of automation, a threshold beyond which further automation incurs more cost than benefit. Smart manufacturing has introduced adaptive, data-driven systems, but many deployments still lack the contextual adaptability and autonomous decision-making required to handle unplanned disruptions. This underscores the need for intelligent, autonomous systems capable of real-time adaptation without costly reconfiguration, minimizing human intervention during …

Application Of Machine Learning For Vascular System Analysis, Alireza Bagheri Rajeoni

Theses and Dissertations

The analysis of vascular structures is critical for diagnosing, monitoring, and treating vascular diseases such as aneurysms, stenosis, and vascular calcification. Traditional methods often rely on manual interpretation of imaging data, which is time-consuming, subjective, and not scalable. This work explores the application of advanced machine learning techniques to automate and enhance vascular system analysis. Our contributions include achieving state-of-the-art accuracy in vascular segmentation, developing a machine learning pipeline to automatically quantify vascular calcification in peripheral arterial disease, and designing a multi-stage machine learning system for abdominal aortic aneurysm analysis that identifies aneurysm boundaries and estimates aneurysm volume in a …

Determination Of Tensile Strength Distribution Of Single Carbon Fibers At Microscale Gagelengths, Karan Deepak Shah

Theses and Dissertations

High performance carbon fibers are widely used as reinforcements in composite material systems for aerospace, automotive, and defense applications. The tensile strength of commercial fibers is significantly less than its theoretical limits. The composite systems are often overdesigned, thus any increase in the fiber tensile strength can yield significant cost and weight savings. Modification of fiber surface treatment (sizing) during manufacturing is a potential route to enhance fiber strength. Single fiber tensile testing at millimeter-scale is typically used to characterize the effect of sizing on the fiber strength. However, the longitudinal tensile failure of a composite system is a result …

Downwind-Upwind Flux Path Analysis Method For Model Reduction Performance Evaluations, Christian Robert Smith

Theses and Dissertations

Large, complex chemical kinetic models have long since been limited by the computational cost it takes to evaluate said model. Over time many reduction methods have been developed to combat this computational cost. However, very little has been done towards evaluating the limitations of reductions as a way of understanding the original model’s characteristics. This paper aimed to use a path flux analysis-based reduction algorithm to rapidly develop multiple reduced mechanisms for a 96 species FFCM-2 methane chemical kinetic model as well as an 858 species n-Dodecane chemical kinetic model. The goal of formulating these reduced mechanisms was to identify …

New Approaches On Source Coding For Quantum Stochastic Sources And Implementation Of Quantum Fanout Gate, Rabins Wosti

Theses and Dissertations

The accurate computation of advanced quantum algorithms like Shor’s integer factorization, quantum phase estimation (QPE), and the quantum Fourier transform (QFT) requires quantum circuits of considerable size and depth. It is difficult to achieve reliable computation with deep quantum circuits due to the limited coherence times of the current noisy quantum devices. The quantum fanout gate is known to be a powerful primitive for reducing the depth of many quantum circuits (Høyer and Špalek 2003; Gottesman and Chuang 1999). Shallow or constant-depth quantum circuits are desirable for both near-term and fault-tolerant quantum computations as they reduce noise and allow faster …

Multiphysics Modeling, Analysis, And Design Of Ceramic Hollow Fiber Membranes For Oxygen Separation, Hamed Abdolahimansoorkhani

Theses and Dissertations

Oxygen plays a central role in numerous industrial processes. Several technologies have been reported for producing oxygen from air. Among them, oxygen transport membrane (OTM) technology—based on mixed-conducting, gas-tight ceramic membranes—has attracted significant attention due to its high oxygen selectivity, relatively low capital and operating costs, and versatility for both ex-situ and in-situ applications. Mathematical modeling of OTMs offers a powerful tool to investigate internal multi-physics transport phenomena, providing deeper insight into fundamental mechanisms while serving as a cost-effective approach for optimizing membrane stack designs.

After a comprehensive introduction, in the first part of this dissertation (chapter 2), a comprehensive …

Implicit Neural Representation For Image Reconstruction, Canyu Zhang

Theses and Dissertations

Image reconstruction seeks to restore corrupted images and recover visual content that has been lost or degraded. Such degradation may result from low resolution, occlusion, masking, or shadow interference. This problem has become an increasingly significant research topic, as visual information plays a central role in almost every aspect of modern life. Neural network based approaches have recently emerged as highly effective solutions for this task. In particular, convolutional neural networks and transformer based architectures have demonstrated remarkable success in producing visually convincing reconstructions. However, these models remain constrained in several important ways, one of the most critical being that …

Identifying And Understanding The Barriers To Sexual Health Information Seeking Experienced By Young Adults (Ages 18-26) Using Social Media, Alexander Nicolas Vera

Theses and Dissertations

This dissertation uses a qualitative, constructionist approach to examine the sociotechnical and cultural dynamics that shape digital sexual health-seeking practices of young adults. Guided by information practices and affordance theory, the research draws on semi-structured interviews and digital walkthroughs with 20 young adults (ages 18–26) from a convenience sample of young adults residing in South Carolina. Participants described how they use platforms like TikTok, Instagram, and Reddit not only to locate information but to assess its trustworthiness, inclusivity, and personal relevance in real time. Through in-depth accounts and screen-based demonstrations via digital walkthroughs, the study examines how participants engage in …

Recognizing The Unexpected: Deep Learning Across Complex Environments, Ge Song

Theses and Dissertations

Ensuring the security, trustworthiness, and operational integrity of modern autonomous and cyber-physical systems presents a critical challenge. While widely utilized in various engineering applications, such as intelligent transportation and industrial manufacturing, these systems require robust monitoring frameworks to identify unexpected anomalies in real-time, thereby maintaining operational safety and efficiency. This dissertation develops advanced deep learning methodologies for anomaly detection and health monitoring, with a particular emphasis on semisupervised reconstruction-based approaches that identify anomalies in complex environments using models trained only with normal operational patterns.

Building on this theme, the first study focuses on analyzing pedestrian behavior and detecting anomalies at …

Evaluating The Performance And Feasibility Of A Device-Agnostic Approach To Compare Raw Accelerometry And Hr Data From Consumer Wearables To Research Grade Devices In Young Adults, Candy Bryan Mrudula Yalla

Theses and Dissertations

INTRODUCTION: Wearable technologies are increasingly used to monitor physical activity and heart rate in both research and everyday settings. This study aimed to compare accelerometery and heart rate (HR) data from two consumer wearables Apple Watch Series 7 and Google Pixel Watch Series 2, with research-grade devices: the ActiGraph GT9X Link and ActiHeart 5.

METHODS: Twenty-four young adults aged 18–24 years (mean age = 22.4; 54.2% female) participated in a 90-minute activity protocol while wearing the devices. The protocol included structured tasks ranging from rest to vigorous intensity. Consumer wearables and ActiGraph were worn on the non-dominant wrist, and the …

Calculating Surface Current Velocities From Video Generated From A Near Forward-Facing Camera, Colby James Weeks

Theses and Dissertations

This work presents a camera system for estimating surface currents. A combined camera and IMU system provide high resolution images and high precision orientation information, respectively. This eliminates the need for leveling and enables forward looking operation. The hardware stack includes a Lucid Vision Triton TRT162S monochrome camera, an SBG Ellipse D with dual antenna GNSS for precise pose, and an Nvidia Jetson Orin for acquisition and processing. The Ellipse D provides a hardware trigger at 10 Hz to time stamp each frame and to synchronize images with inertial measurements.

A camera calibration step estimates the intrinsic camera parameters and …

Computational Analogies In The Era Of Large Language Models, Amarakoon Mudiyanselage Thilini Wijesiriwardene

Theses and Dissertations

Analogical reasoning is an important part of human cognition requiring the integration of abstract reasoning, pattern recognition, and background knowledge. Despite significant advances in language modeling, the capacity of current methods to accurately identify, model, and evaluate analogies remains fundamentally underexplored.

Analogies enable individuals to perceive deep similarities between superficially different situations. Effective analogy-making requires integrating knowledge about the external world with abstract reasoning and pattern recognition capabilities. While current language models (LMs), trained on massive textual corpora using autoregressive or masked objectives, achieve impressive performance across Natural Language Processing (NLP) tasks such as text generation, summarization, and classification, their …

Multi-Layer Decision Making For Long-Term Autonomous Mission Based On Dual Process Theory, Shruti Jadhav

Theses and Dissertations

Unmanned aerial vehicles (UAVs) are increasingly used in precision agriculture, where extended autonomous operation is required for monitoring, intervention, and field management. However, achieving long-term autonomy remains challenging due to battery constraints, environmental uncertainty, and the need to balance exploration with event-driven tasks. To address these challenges, a multi-layer decision-making framework inspired by Dual Process Theory (DPT) is developed. The framework combines reactive return-tobase strategies, exploratory navigation, and directional bias from prior missions, with a conflict-monitoring mechanism that adapts system behavior based on real-time conditions. The approach is implemented in a simulated agricultural grid environment, demonstrating improved adaptability and coverage …

Reduced Order Simulator Of A Nuclear Thermal Propulsion System, Jackson Taylor Zazzaro

Theses and Dissertations

This thesis presents the development of a reduced-order simulator for a nuclear thermal propulsion (NTP) system, designed to capture the key thermo-fluid and performance characteristics of such systems while maintaining computational efficiency. The primary objective of this work is to develop and demonstrate a modular simulation framework capable of modeling the coupled physics of an NTP reactor, nozzle, and orbital transfer system. The simulator integrates a reduced-order thermal-fluid model of the reactor, a simplified nozzle model, and an orbital transfer model, providing a comprehensive yet computationally efficient representation of the propulsion process. By employing reduced-order modeling techniques, the simulator achieves …

Multi-Perspective Feature Learning For Facial Expression Recognition In The Wild, Xiangyu Hu

Theses and Dissertations

With the rapid progress of deep learning, Facial Expression Recognition (FER) has seen substantial improvements in performance, particularly “in the wild” meaning real world conditions. Despite these advances, most existing methods extract features from facial images as the sole emotional cues, which limits the model’s ability to capture the full complexity of human emotional expressions.

In reality, facial expressions are composed of diverse and multi-perspective information, including appearance-based cues and geometric structural deformations due to activations of facial muscles. Depending exclusively on one type of representation may fail to exploit the complementary nature of these cues, an issue that becomes …

Exploring Barriers To Patient Care In A South Carolina Free Clinic, Jonathan G. Green

Doctor of Nursing Practice Scholarly Projects

Access to healthcare remains a persistent challenge for medically underserved populations who rely on free medical clinics for primary care services, particularly in non-Medicaid expansion states such as South Carolina. Free clinics serve as critical safety-net providers, yet patients frequently encounter barriers that limit access, continuity, and quality of care. The purpose of this Doctor of Nursing Practice (DNP) project was to explore and identify the structural, social, and interprofessional barriers to patient care within a South Carolina free medical clinic to inform targeted, evidence-based interventions. A mixed-methods needs assessment design was used, combining a retrospective chart review of forty …

Combating Obesity: Creating A Comprehensive Wellness Plan For Uninsured & Low-Income Populations, Kayla C. Berrios

Doctor of Nursing Practice Scholarly Projects

Aim: The aim of this project was to research the specific barriers encountered by obese patients that are low-income and uninsured. The goal of this data collection was to inform the stakeholders involved in creating a comprehensive wellness plan for obese patients.

Background: The staff at Good Neighbor Clinic have struggled to support their support their obese patients with weight reduction. Many of the ailments that patients seek care for correlate to their obesity. Health promotion in this community clinic needs a more comprehensive program to support patients during their weight loss experience, providing support and resources to allow for …

Empowering Mothers: A Digital Intervention For Perinatal Mental Wellness, Morgan Edmunds

Doctor of Nursing Practice Scholarly Projects

Aim: The aim of this project was to develop a smartphone application prototype for peripartum mental health. The goal of this application was to enhance access to education and quality mental health care.

Background: Currently, in the United States, peripartum mental health conditions are the leading cause of maternal morbidity and mortality (The Joint Commission, 2023). There is a gap in education, screening, and treatment for peripartum mental health due to distrust and a lack of resources, including a lack of mental health providers (Dossette et al., 2024; Feldman & Perret, 2023). Therefore, there is a significant number of women …

Incorporating Balance Training Into Ankle Sprain Injury Prevention Programs: An Evidence-To-Practice Review, David Tomchuk, Jacob Meyer, Kyle Schneider, Ben Fox

Clinical Practice in Athletic Training

Ankle sprains are among the most common injuries in sports and non-sporting activities. For patients, ankle sprains can result in multiple short and long-term hardships, such as financial burdens of evaluation and treatment, absenteeism from sport and physical activity, and diminished ankle and lower extremity function. However, athletic trainers and other stakeholders are also impacted by administrative and time burdens in caring for ankle sprains and how ankle sprains affect team dynamics and performance. The 2022 guiding systematic review evaluated the effectiveness of incorporating preventive balance training exercises on the incidence of ankle sprains in soccer athletes. The search performed …