Digital Commons Network^™

Characterization And Optimization Of Sand And Tung Oil-Based Resins For Binder-Jet 3d Printing, Daniel I. Ajiola

College of Graduate Studies: Theses & Dissertations

Binder-jet 3D printing as a transformative technology in additive manufacturing, offers the ability to fabricate complex structures with diverse materials. This thesis investigates the use of a sustainable tung oil-based resin to create composites, exploring the potential for an eco-friendly alternative to synthetic binders.

The aim of this research is to develop and characterize a bio-based resin formulation, using tung oil as the primary binder, for application in binder-jet 3D printing with sand as the reinforcement. The resin formulation was prepared by combining tung oil, n-butyl methacrylate, divinylbenzene, and di-tert-butyl peroxide in precise proportions, ensuring a balanced mixture that supports …

Evaluating Multimodal Ai Systems: A Comparative Analysis Of Large Languagel Model-Based Models For Text, Image, And Video Generation, Azeezat O. Akinola

College of Graduate Studies: Theses & Dissertations

In the era of rapid technological advancement, efficient content generation, application development, and data management are crucial for meeting the demands of dynamic digital environments. This thesis uses state-of-the-art models to explore three core areas: AI-driven video content creation, text-to-image-to-text consistency, and automatic text summarization. The first study investigates the potential of AI-powered text-to-video generation to democratize video production and enhance storytelling. By comparing the performance of three models—ModelScope, Text2Video (Zero), and Motion Consistency—this study assessed the quality of generated videos using CLIP scores. It evaluated statistical significance through t-tests and homogeneity tests. Results indicate that ModelScope outperformed the others, …

Impact Of Y-Mixer Geometry And Flow Rate Modulation On Chemical Gradient Generators In Microfluidic Devices, Elizabeth Thurston Hutton

College of Graduate Studies: Theses & Dissertations

Various microfluidic structures are devised to generate tunable, stable spatiotemporal chemical gradients for single-cell studies. This work addresses the role of Y-mixer junctions in generating nonlinear gradients by increasing the width of one arm (bias), which is suspected to cause premature diffusion within the mixer. This study introduced a cinching feature to narrow the wider arm locally and redefine the junctions of these biased Y-mixers using four novel geometries defined by a 5-micrometer drawing rule. Furthermore, three flow rate factors allowed us to explore the impact on the generated gradient landscapes. The results showed that the four novel designs similarly …

Digital Modeling Of Temperature-Dependent Processes In Industrial Wastewater: Advancing Ultimate Oxygen Demand Prediction For Treatment Optimization, Fatima Iqbal

College of Graduate Studies: Theses & Dissertations

The pulp and paper industry is the third-largest consumer of freshwater globally and faces mounting pressure to optimize water usage and minimize environmental impact. Aerated stabilization basins are extensively utilized in the pulp and paper industry and play a crucial role in treating wastewater from these operations. The existing management practices fail to effectively optimize treatment processes due to the prolonged time required for testing key quality parameters. The utilization of models developed for treatment facilities presents a viable solution; however, existing open-source models often fall short in accurately predicting treatment efficiency across varying conditions and lack comprehensive accounting of …

Investigating The Role And Expression Of Aquaporin 10 Paralogs In Spiny Dogfish (Squalus Acanthias), Esosa Omoregie

College of Graduate Studies: Theses & Dissertations

Aquaporins (AQPs) are integral membrane proteins that facilitate the selective transport of water and small solutes across cell membranes, playing essential roles in maintaining osmotic balance in vertebrates. Among them, aquaglyceroporins such as AQP10 are capable of transporting water, glycerol, and urea, contributing to osmoregulatory and metabolic processes. This study investigated the expression, localization, and potential physiological roles of two AQP10 paralogs, AQP10C1 and AQP10C2, in the spiny dogfish (Squalus acanthias), a marine elasmobranch that maintains osmotic equilibrium through urea retention and ion regulation. Using RT-PCR, quantitative PCR, Western blotting and immunohistochemistry the study identified tissue-specific expression patterns of …

Computational Investigation Of Underbody Slant Angle Variation Effect On A Hatchback Vehicle, Nufile Uddin Ahmed

College of Graduate Studies: Theses & Dissertations

Electric Vehicles, despite many advantages over their gasoline-powered counterparts, have the following main challenges towards mass adoption – the charging infrastructure and the range of the vehicle. Among the myriads of factors affecting the range, the coefficient of drag and the required power to overcome it are noteworthy. This study aims to investigate the effect of rear underbody slant angle on a common, simplified hatchback-shaped Electric Vehicle. The rear underbody slant angles (upward) assessed were 0°, 5°, 10°, and 15° and they were subjected to three freestream velocities representative of urban (16 m/s), highway (25 m/s) and interstate (40 m/s) …

Dna Methylation Variation In Eastern Diamondback Rattlesnakes (Crotalus Adamanteus) On A Georgia Barrier Island, Megan Hoog

College of Graduate Studies: Theses & Dissertations

The Eastern Diamondback Rattlesnake (Crotalus adamanteus, EDB) is the largest rattlesnake in the world and is thought to be declining in many portions of its range. Genetic venom studies in the Southeast United States have shown evidence of fine-scale differences within two main geographic groups on Jekyll Island. My objective is to expand on this finding to determine if epigenetic mechanisms, specifically DNA methylation, varies among different populations of EDB in similar environments, age classes, and sexes. I collected EDB blood samples through a partnership with the Jekyll Island Authority and screened 44 individuals for epigenetic variation from …

Microbial Community Stabilization By Restored Oyster Reefs: Implications For Blue Carbon Storage, Natalie Boydstun

College of Graduate Studies: Theses & Dissertations

Coastal ecosystems provide critical carbon sequestration services, yet the microbial mechanisms underlying carbon storage remain poorly understood, particularly in non-vegetated habitats. This study investigated whether restored oyster reefs (Crassostrea virginica) enhance sediment carbon storage potential by stabilizing microbial communities and promoting efficient organic matter processing. I hypothesized that reef-mediated sediment stabilization and organic deposition would create conditions favoring microbial degradation of complex carbon compounds into stable soil organic matter, ultimately supporting anaerobic carbon storage. To test this, I compared sediment biogeochemistry, enzyme activity, and microbial community structure between three restored oyster reef sites and two unstructured control sites …

Common Data Set, Georgia Southern University

Georgia Southern Common Datasets

No abstract provided.

Proceedings Of The Sixteenth Annual Meeting Of The Georgia Association Of Mathematics Teacher Educators Front Matter

Proceedings of the Annual Meeting of the Georgia Association of Mathematics Teacher Educators

Contents of 16th Annual GAMTE Proceedings Front Matter:

• Officers of GAMTE
• Reviewers
• Copyright & Licensing Terms
• Purposes and Goals of GAMTE
• Conference Schedule
• Table of Contents

Machine Learning For Automated Classification Of Tree Species Based On Color-Texture Fusion, Brandon C. Jones

College of Graduate Studies: Theses & Dissertations

This study aimed to develop robust machine learning tools for the classification of southeastern United States tree species based on bark images, addressing challenges posed by significant intraspecies variation in bark texture and color. The primary objectives included constructing specialized machine learning libraries and classification models, identifying optimal algorithms and parameters to maximize accuracy, and integrating the best-performing texture and color classifiers into a unified system to enhance the overall classification performance. The methodology involved collecting a dataset of 360 field images, extracting hue and saturation histograms for color features, and employing Histogram of Gradients (HOG) and Histogram of Binary …

Parasitism By The Twisted-Winged Parasite Xenos Peckii (Strepsiptera), And Its Effects On The Ovary Development In Their Host Paper Wasp, Polistes Metricus (Hymenoptera), Alex K. Snyder

College of Graduate Studies: Theses & Dissertations

Strepsiptera are generally described as parasitic castrators as they cause the reproductive death of the hosts. In southeast Georgia, only a handful of paper wasps are hosts for twisted-winged parasites. One such species, Polistes metricus, is parasitized by a twisted-winged parasite, Xenos peckii. Previous studies document that host survivorship at most developmental stages was not largely influenced by the presence of X. peckii. To determine if X. peckii can affect their host’s ability to survive and reproduce, we dissected P. metricus to determine ovary development and the presence of X. peckii parasites. Parasite presence had no effect on the host’s …

Evaluating Impacts Of Footpaths On Resiliency Of Restored Dunes At Tybee Island, Georgia, Skyler J. Fox

College of Graduate Studies: Theses & Dissertations

Sand dunes provide critical ecosystem services including storm protection by acting as natural barriers. However, these systems are threatened by human disturbance, particularly pedestrian traffic occurring at footpaths that damages dune vegetation. Vegetation is essential to dune growth and stability, as dune plants trap and bind sand. When trampled, dunes become more vulnerable to erosion and less effective at providing coastal protection. On Tybee Island, Georgia—a popular tourist destination—a vegetated dune was constructed in 2020 to enhance storm protection. This study assessed how footpaths impact dune resiliency and aimed to inform management strategies. I evaluated: (1) how characteristics of vegetation, …

Examining Our Practice: Engaging In A Faculty Learning Community To Enhance An Online Graduate Program, Regina Rahimi, Lina Soares, Hui Jin

Middle Grades & Secondary Education: Faculty Publications

This research report details a faculty learning community (FLC) developed by three faculty teaching in a graduate program in a mid-size southern university. The purpose of the research was to engage in the study of best practices for online graduate courses by engaging in collaborative discussions on common texts related to improving the teaching and learning experience. Specifically, the faculty engaged in common readings on “small teaching practices” and reflected on the knowledge gleaned and how it related to current online teaching practices (Darby & Lang, 2019; Lang, 2016). The study further explored how an FLC helped higher education instructors …

2025 Conference Program, Georgia Southern University

SoTL Commons Conference

2025 Conference Program

Examining Our Practice: Engaging In A Faculty Learning Community To Enhance An Online Graduate Program, Regina Rahimi, Lina B. Soares, Hui Jin

Georgia Educational Researcher

This research report details a faculty learning community (FLC) developed by three faculty teaching in a graduate program in a mid-size southern university. The purpose of the research was to engage in the study of best practices for online graduate courses by engaging in collaborative discussions on common texts related to improving the teaching and learning experience. Specifically, the faculty engaged in common readings on “small teaching practices” and reflected on the knowledge gleaned and how it related to current online teaching practices (Darby & Lang, 2019; Lang, 2016). The study further explored how an FLC helped higher education instructors …

2024 Georgia Southern University Softball Media Guide, Georgia Southern University

Women's Softball Records

No abstract provided.

Navigating Challenges In Teacher Preparation: Case Studies In Practice And Innovation, Kathleen M. Randolph

Journal of Case Learning & Exceptional Learners

No abstract provided.

A Tale Of Two Educators: An Observational Case Study, Victoria Vanuitert, Lauren Zepp, Jennifer Malone, Stacy Mcguire, Alexandra Newson, Gwendolyn K. Deger, Shannon Core

Journal of Case Learning & Exceptional Learners

Increasing numbers of disabled and neurodivergent students are enrolling in postsecondary institutions, including teacher preparation programs. Although teacher educators strive to prepare their students to use strategies and provide support effectively in their future classrooms, many of these educators need tools to offer comparable services to disabled and neurodivergent preservice teachers. Specifically, disabled and neurodivergent preservice teachers have reported barriers to disclosing their disabilities and receiving access to needed accommodations. Instead, they report feeling scrutinized as to whether they are capable of being teachers due to their disability. These experiences seem to be especially pronounced during their teaching placement, and …

Applying The Lagrangian Variational Method To Atom Interferometry, Jeffrey W. Heward

College of Graduate Studies: Theses & Dissertations

Atom interferometry in Bose-Einstein condensate systems has emerged as a promising technique for precision metrology. The dynamics of these systems are well-described by the Gross-Pitaevskii equation (GPE), but direct numerical solution of this equation is infeasible for realistic systems. We use the Lagrangian Variational Method (LVM) to approximate solutions of the GPE in 1D and 3D, and we compare the LVM results to the exact solutions. We also present 3D LVM results for a case where numerical solution of the GPE is infeasible.

Reflections On Crafting A Framework Companion Document For And By Science And Technology Librarians, Dawn Cannon-Rech, Allison B. Brungard, Rachel Hamelers, Rebecca Kuglitsch, Rebecca Renirie

University Libraries: Faculty Publications

Abstract unavailable.

Bridging Theory And Practice: The Power Of A Mathematics Clinic In Teacher Preparation, Kelly A. Clark, Chrystal O. Dean, Josie Barnes, Hadley Seifert, Lauren Young

Journal of Case Learning & Exceptional Learners

The Council for Exceptional Children (CEC) and the National Council on Teaching Mathematics (NCTM) released a joint statement on the importance of preparing special education teachers to teach mathematics (NCTM & CEC, 2024). They provided implications for institutions of higher education with teacher preparation programs, one of which included requiring special education majors to take a minimum of one mathematics course with mathematics content directed specifically to PK-12 mathematics and include field-based learning opportunities within that course. Powell (2015) indicated that effective preparation in mathematics related to special education should include multiple facets, including planned field experiences. Planned field experiences …

Epigenetic Potential Remains Stable Over 100 Years After Introduction, Danielle Dawkins

College of Graduate Studies: Theses & Dissertations

Introduced species provide important insights into organismal behavioral responses. Epigenetic mechanisms are one of the various ways in which behaviors can be modified, particularly through DNA methylation. Through such mechanisms, phenotypic changes can occur in response to environmental changes, allowing an organism to be more plastic. Epigenetic potential (EP) represents the capacity for an organism to be epigenetically modified, and can be measured by counting CpG motifs; cytosine adjacent to guanine within a DNA sequence. Phenotypic plasticity as it relates to EP has been studied extensively in the house sparrow (Passer domesticus), a globally introduced songbird. It is …

Gorenstein Flat Preenvelopes Over Coherent Rings, Alec Moore

College of Graduate Studies: Theses & Dissertations

The existence of precovers and preenvelopes of Gorenstein flat modules is of great interest in the field of Gorenstein homological algebra. We give a sufficient condition in order for the class of Gorenstein flat modules to be preenveloping. More precisely, we prove that if the ring R is coherent such that every injective module has finite flat dimension, then every R-module has a Gorenstein flat preenvelope.

Application Of Machine Learning And Large Language Models In Healthcare For Data Prediction And Summarization, Chiazam Chisom Izuchukwu

College of Graduate Studies: Theses & Dissertations

This study aims to examine the use of machine learning (ML) and large language models (LLMs) in healthcare to enhance disease prediction, clinical decision-making, and information management. Five supervised ML models—Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), Decision Trees (DT), and Naïve Bayes (NB)—on three different computing platforms—Google Colab, Databricks, and Snowflake—were employed for disease classification. Data preprocessing included treating missing values, encoding categorical variables utilizing one-hot-encoding, feature scaling when needed, and tackling class imbalance with Synthetic Minority Over-sampling Technique (SMOTE) before an 80-20 train-test separation. Models were created with Scikit-learn (Google Collab), Spark MLlib (Databricks), and …

Contextual Augmentation In Artificial Intelligence, Emmanuel Joshua Balogun

College of Graduate Studies: Theses & Dissertations

Contextual understanding is a significant challenge of Large Language Models (LLMs), which are typically trained on general-purpose datasets. Due to this, LLMs fail to capture nuanced or domain-specific information and may struggle to interpret user queries accurately. Consequently, prompt engineering can become complex in automating, and LLMs are prone to “hallucinating”—generating random or irrelevant texts—when they lack sufficient context. This undermines their ability to provide focused, accurate responses. Accordingly, this thesis seeks to enhance the contextual understanding capabilities of Artificial Intelligence systems to facilitate more precise and relevant answer generation. Study A looks into a new approach to combating misinformation …

Enhancing Ai-Driven Automation For Object Detection And Computer Vision, Nafeeul Alam Walee

College of Graduate Studies: Theses & Dissertations

In recent years, AI-driven automation has revolutionized the field of object detection and computer vision, enabling sophisticated and efficient solutions across various industries. This research explores the latest advances and techniques in improving AI-driven automation for object detection and computer vision applications. We examine state-of-the-art deep learning models and frameworks that have contributed to significant improvements in accuracy and speed and highlight the generative results. The focus is on exploring the real-time processing capabilities that have expanded the applicability of these technologies in real-world scenarios. Furthermore, we investigate image integration and video data to improve precision detection and contextual understanding. …

Bio-Inspired Airfoil Design Based On The Aerodynamic Analysis Of A Bird Feather Microstructure, Jack C. Ihm

College of Graduate Studies: Theses & Dissertations

This study investigates the aerodynamic effects of a bio-inspired airfoil design based on the microstructure of a secondary feather from a female wood duck. The research hypothesized that incorporating barbs and barbules into an airfoil design would modify boundary layer behavior by introducing localized flow disturbances. To test this, a bio-inspired airfoil was developed by integrating the microstructure into a NACA 0012 airfoil and analyzed using computational fluid dynamics (CFD) simulations at angles of attack of 0°, 5°, 10°, and 15°. The results showed that the bio-inspired airfoil influenced boundary layer behavior, producing localized flow disturbances near x/c = 0.7 …

Ease Of Product Disassembly Through A Systematic Structured Time-Based Design For Disassembly Methodology, Emeka S. Igwe

College of Graduate Studies: Theses & Dissertations

This research introduces a systematic time-based design for disassembly (DfD) framework aimed at optimizing product disassembly by addressing important features like liaisons between components in product, component accessibility and the overall modularity of the product. This study specifically covers electromechanical and mechatronic systems in both household and industrial setup, identifying their disassembly challenges and high value pointers for improvement. The methodology involves using a design for disassembly framework called LeanDfD in carrying out a holistic disassembly process and evaluating quantitative metrics like disassembly time and complexity and suggesting further redesign strategies to minimize disassembly time and cost. Adopting this systematic …

Machine Learning Methods For Intrusion Detection And Response In Network Security, Ayomide Oyemaja

College of Graduate Studies: Theses & Dissertations

Intrusion Detection Systems (IDS) play a crucial role in computer network security by identifying malicious activities and potential cyberattacks. This thesis combines machine learning and cybersecurity by applying Reinforcement Learning (RL) in intrusion detection and response using the NSL-KDD dataset.

We designed and implemented a Q-learning framework where an agent learns to classify network traffic over time by interacting with the environment and receiving rewards based on detection accuracy. We also look at the importance of feature selection and classification techniques and how effective they are in improving model performance, reducing the complexity of computation, and producing more desirable results. …