Digital Commons Network^™

Suturing Education For Athletic Trainers: An Evidence-To-Practice Review, Morgan K. Webb, Brett T. Heim, Allyson E. Ritchey, Kenya Moore, Zachary K. Winkelmann

Clinical Practice in Athletic Training

Teaching suturing skills to medical students is a critical component of their education. Implementing suturing into a comprehensive framework is developed from how professors teach the skill. Suturing is a required skill by the General Medical Council that all medical students must have, and how it is being introduced to new students is changing. This review aimed to summarize different educational interventions and determine the most efficient and cost-effective way to teach future suturing skills. The original systematic review included 25 articles in the final data synthesis. Fourteen studies were randomized control trials, six were quasi-experimental, and five were observational. …

New Traffic Control Based On Vanets Protocols Technique, Bushra Jaber M.Jawad

Iraqi Journal of Computers, Communications, Control and Systems Engineering

An ad hoc network in a mobile system is known as a vehicular network. This application is useful in communication between the roadside and vehicle infrastructures. Nowadays, the deficiency and quality of transport classifications of smart transport systems are playing a vital and excessive role. This paper presents the examination of the traffic stream under VANET protocol methods. In the execution of luxury and safe vehicular ad hoc networks, the automobile must resolve inquiry information from other vehicles through multi-loop organizations. In case of the data move in vehicular ad hoc networks, it should have to aspect numerous disruptions because …

Deciphering Medical Imaging From Genetic Data: Integrative Modelling Across Genetics And Imaging Modalities, Wentao Li

Dissertations and Theses (Open Access)

Integrating genetic data with medical imaging offers powerful opportunities to uncover biological mechanisms and clinical insights, yet linking genetic variation to diverse physical and molecular changes remains challenging. This dissertation introduces computational approaches that bridge this gap across neuroimaging and spatial omics. The first study develops a mixed-effects framework to identify genetic signatures of neuroimaging phenotypes in bipolar disorder. By modelling subject-specific brain region interactions, the method improves detection of significant variants in large-scale datasets such as the ABCD study and UK Biobank, with downstream analyses confirming biological relevance. The second study presents a cross-modal fusion strategy for spatial transcriptomics, …

Improving Universities Through The Use Of Ai & Transformative Technology: A Case Study Analysis At The University Of South Carolina, Cameron A. Caulk

Senior Theses

This thesis aims to give university leaders a practical guide to implementing AI, using lessons learned from the University of South Carolina’s experience as a case study. The project started with a review of literature and industry practices for the Finance & Administration division, which led to key deliverables like AI usage guidelines, DoIT’s position paper on AI systems, and the ParkUSC parking app. One ongoing project, Project Shuttlecock, even sets the stage for future AI initiatives at the university.

AI holds immense promise, but universities often hesitate due to concerns about ethics, costs, and the learning curve for staff …

Colaborate: A Mixed-Methods Approach To Enabling Inclusive Dialogue Of Emotional Regulation Resources For Young Autistic Children, Sarai E. Deese

Senior Theses

Emotion regulation (ER) is a critical developmental milestone and is often delayed or more difficult for autistic children. Publicly available resources for birth-5-year-olds with autism could benefit significantly by integrating the values of and information provided by autistic adults. However, existing resources may have poor accessibility, acceptability, and feasibility according to different groups within the autism community, creating a significant gap in effective support. This mixed-methods study investigated ER experiences, resource knowledge, and resource desire among autistic adults (N=4; Stage 1) and caregivers of young autistic children (N=4; Stage 2) to inform the development of acceptable ER supports. In Stage …

Hungry Minds: Analyzing The Impact Of Food Insecurity And Food Assistance Programs On Neurocognitive Development And Childhood Mental Health, Kayla A. Davenport

Senior Theses

Introduction: Food insecurity affects millions of children in the United States and is increasingly recognized as a significant risk factor for poor nutritional intake and adverse health outcomes. However, less is known about how the experience of food insecurity disrupts healthy development and well-being, particularly among American youth. This thesis had two aims: (1) to examine the relationship between household food insecurity and children’s neurocognitive and mental health outcomes and (2) to evaluate how major food assistance programs address, or fail to address, these developmental risks.

Methods: This thesis uses a mixed-methods approach, integrating a narrative literature review, a cross-sectional …

October 2025, Swosu Bulldog Wellness Committee

SWOSU BULLDOG WELLNESS

• October is National Dental Hygiene Month!
• Reminder: YOGA class Oct. 14th for SWOSU employees
• Spooktacular Step Challenge
• Home Fire Safety
• Wellness Committee has three standing desks to loan out
• National Family Health Month
• Autumn Word Search

Arcadia Magazine, 2025-10

Alumni Magazine

No abstract provided.

The Moderating Effects Of Community Involvement On The Association Between Witnessed Community Violence And Mental Health Outcomes Among Black Adolescents, Curtisha Tamara Shacklewood

Theses and Dissertations

Black youth and adolescents are at a disproportionately high risk for experiencing community violence exposure (CVE) and the potential influence it may have on psychological functioning. Research posits that Black youth who experience community violence are at a significantly higher risk of experiencing elevated internalizing symptoms (e.g., depression) and externalizing symptoms (e.g., delinquency). Previous research has utilized the ecological model to investigate interpersonal protective factors that potentially buffer the effects of CVE, including parental support and family characteristics. However, there is little research that explores community-level factors, such as community activities (e.g., youth activities and parental perception of collective efficacy) …

Developing A Dynamic Bilingual Space In An Early Childhood Korean Heritage Language Classroom Through Multimodal Translanguaging Pedagogy, Kyungjin Hwang

Theses and Dissertations

Drawing on translanguaging theory and multimodal literacy, this dissertation examines how a multimodal translanguaging pedagogy can create a dynamic bilingual space in a Korean heritage language classroom in the southeastern United States. Using a teacher-research design and thematic analysis of classroom video recordings and student artifacts, the study explored ten instructional modules with Korean-American children aged five to six. It first identified the core components of the pedagogy, its framework, curriculum content, and teacher strategies, and then analyzed how children flexibly used Korean and English across modes such as speaking, writing, and drawing. Findings revealed diverse translanguaging forms and functions. …

Improved Extraction And Detection Of Disinfection Byproducts, Impacts Of Wildland-Urban Interface Wildfires On Drinking Water, And Change In Disinfection Byproducts Over Time In Chlorinated Vs. Chloraminated Distribution Systems, Patrick Thomas Justen

Theses and Dissertations

Drinking water disinfection is critical to prevent the occurrence of waterborne pathogens in drinking water. However, disinfection causes the unintended formation of disinfection byproducts (DBPs) through the reaction of disinfectants (e.g., chlorine, chloramine) with natural organic matter (NOM), algal matter, or anthropogenic pollutants present in source waters. Exposure to DBPs is associated with increased bladder cancer, colorectal cancer, miscarriage, and birth defects. The U.S. EPA currently regulates eleven DBPs in drinking water—four trihalomethanes, five haloacetic acids, bromate, and chlorite. However, research shows that DBP related toxicity in drinking water is driven mainly by other, non-regulated DBPs, particularly iodinated DBPs and …

Unveiling Caulocovert: Conserved Phage And Gene Transfer Agent In Caulobacter, Talia Neco

Theses and Dissertations

Bacteriophage play an important role in bacterial evolution, population control, and horizontal gene transfer within microbial ecosystems. This study focuses on the discovery and characterization of Caulocovert, an active bacteriophage identified in multiple Caulobacter strains. Using genome annotation tools such as Artemis and Mauve, we identified multiple key phage genes, including the major capsid protein, head-tail connector, portal protein, and major tail protein. These phage genes are present in CB13 and several other strains, such as C. vibriodies CB15 and CB2, C. segnis CBR1, Caulobacter sp. FWC26, and the distantly related Caulobacter sp. D5 strain. The location of these genes …

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 …