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2025-2026 Career Guide, Morehead State University. Office Of Communications & Marketing., Morehead State University Career Services.

Communications and Marketing Publications Archive

The 2025-2026 Morehead State University Career Guide from the Morehead State Career Services Office.

2025 Bold Blue & Gold: Annual Impact Report, Morehead State University. Office Of Communications & Marketing., Morehead State Universiy Foundation.

Communications and Marketing Publications Archive

The 2025 Bold Blue & Gold: Annual Impact Report from the Morehead State Universiy Foundation.

Reduced Set-Shifting Processing Speed In Male Rats Following Low Dose (10 Cgy) Proton Exposure, Hui Ho Vanessa Chang, Gyutae Kim, Kyu-Sung Kim, Richard A. Britten

Center for Integrative Neuroscience and Inflammatory Diseases (CINID) Faculty Publications

Space radiation (SR) exposure poses significant biomedical risks, including effects on the central nervous system (CNS). These risks are particularly relevant to cognitive function during long-duration space missions. One critical cognitive skill is decision-making, which requires attentional set-shifting (ATSET)—the ability to quickly assess problems, evaluate options, and select the best actions. Previous studies have shown that exposure to However, the impact of low LET (< 1 keV/μm) protons, which significantly contribute to the total radiation flux astronauts encounter within spacecraft, on ATSET performance is unknown. To address this gap, we evaluated the effects of cranial irradiation with 10 cGy of 100 MeV/n protons (LET = 0.732 keV/μm) on ATSET performance in male Sprague-Dawley rats. We also investigated whether concurrent exposure to variable gravity (hypergravity step-up, step down, purported to have the same effect as exposure to microgravity (another major spaceflight stressor) exacerbated SR-induced cognitive deficits. Our findings indicate that proton exposure alone significantly impaired ATSET performance, as evidenced by decreased processing speed while performing compound discrimination reversal and extra-dimensional shifting. Notably, no additive or synergistic effects were observed when hypergravity was combined with proton exposure. The impact that low-dose proton exposure has on CNS functionality, particularly in reducing processing speed during complex tasks, warrant further investigation. If similar cognitive deficits were to occur in astronauts exposed to galactic cosmic rays, mission success and safety could be significantly compromised.

Teaching Generative Ai Literacy: Approaches And Challenges, Susan G. Archambault, Nicole Murph, Shalini Ramachandran

Librarian Publications & Presentations

No abstract provided.

Osgoode Syllabus Of Courses And Seminars: 2025 - 2026, Office Of Student Services

Syllabi

No abstract provided.

Ossabaw Island Chronology, Dieter Ullrich

Guarding Ossabaw Island: History and Archaeology of the 47th N.Y.V.I. Camp

A document detailing the chronology of Ossabaw Island, written by Dieter Ullrich in 2025.

Ullrich, Dieter. Ossabaw Island Chronology. (2025)

Strategic Assessment 2025: Evolving Great Power Competition At Mid-Decade, Thomas F. Lynch Iii, Richard Andres, Natalle Cawston-Gibson, William T. Eliason, Douglas Farah, Liana Fix, T.X. Hammes, Benjamin Harris, John Hickman, Jeffrey Mankoff, Jeremy T. Mathis, Dawn C. Murphy, Marianne Richardson, Phillip C. Saunders, Joel Wuthnow

Books

Strategic Assessment 2025: Great Power Competition at Mid-Decade explores the ongoing dramatic evolution of strategic competition among and between today's three Great Powers - the United States, China, and Russia. Over the past decade, these Great Powers moved from an era of generally cooperative and collaborative interactions to those now dominated by competitive and confrontational dynamics. This book spotlights and evaluates the evolving global strategies pursued by Washington, Beijing and Moscow at mid-decade, illuminating how they clash or complement national power and international status in an array of geostrategic regions and functions.

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 …

Liposomes As A Platform For Cd40 Ligand Presentation For The Purpose Of Feeder-Free B Cell Activation, Sydney Bone

Theses

Improvement of in-vitro culture of immune cells is critical for expanding our understanding of the immune system and advancing the treatment of diseases, whether pathogenic, cancerous, or autoimmune, via cellular immunotherapies. This study aims to develop a feeder-free B cell culture system using biomaterials-based presentation of a critical signaling molecule, namely CD40 ligand (CD40L). Traditional B cell culture methods rely on allogenic feeder cells to present CD40L, but a culture of only autologous cells is preferable for cellular immunotherapies. Previous work of our lab established an effective feeder-free B cell culture system using magnetic microbeads as a synthetic platform for …

Subconscious Warnings As A Safety Mechanism Against Phishing Attacks, Henry Schulz

Theses

Phishing attacks are very common and considerably successful in stealing people’s information, but unfortunately normal security procedures fail to warn the user of their possible dangers. By considering how subliminal messages are very effective in informing people without actively disrupting their attention, a prototype of a browser extension was made by implementing subconscious messages and the elements of an effective warning, in an attempt to subconsciously warn users of possible phishing attempts, with minimal impact on browser performance.

Determination Of Material Deformation At Truly Constant Strain Rates Utilizing Full-Field Stress And Strain Measurements, Derryk Lee Daignault

Theses

The rate sensitivity of materials is an important aspect to consider when designing components; such as in manufacturing processes, aerospace vehicle impacts/propulsion systems, and automobile collisions. Characterizing a material’s rate sensitivity can be expensive and time consuming due to multiple tests being necessary at each given strain-rate to fully characterize the response. This project proposes a methodology to determine the material response at multiple truly constant true strain rates from a single test using non-uniform geometry and the strain localization phenomenon. Finite element simulations using Ansys LS-DYNA are used to design potential new test specimen geometries to induce constant and …

Fault Tolerance In Krylov Subspace Methods, Sandesh Pandit

Theses

The increasing complexity of modern high-performance computing (HPC) systems, with their vast number of processing units and extensive memory hierarchies, introduces significant challenges to system resilience, particularly in the face of soft errors. Krylov subspace methods, which play a pivotal role in solving large-scale sparse linear systems and eigenvalue problems, are iterative in nature and thus susceptible to the propagation of soft errors. In this paper, we examine the fault tolerance properties of two widely-used Krylov subspace methods: the Lanczos method and the Bi- Conjugate Gradient (BiCG) method. Specifically, we analyze the impact of soft errors introduced during the critical …

Neural Acceleration Of Graph Partitioning, Vishvam Patel

Theses

Graph Partitioning is a critical problem in numerous scientific and engineering domains including social network analysis, VLSI design, and many more. Spectral methods are known to produce quality partitions while minimizing edge cuts for a wide range of problems. However, the computational cost associated with the calculation of the Fiedler vector, an eigenvector associated with the second smallest eigenvalue of the graph Laplacian, remains a significant bottleneck. In this paper, we present an neural acceleration approach to spectral bisection partitioning by replacing the traditional eigenvalue calculation with a simple artificial neural network model to approximate the fiedler vector. We demonstrate …

Nonlinear Dynamics And Data Driven Modeling, Mattan Tseng

Theses

The research areas of dynamics and data-driven modeling overlap in existing literature. Some research uses dynamical systems as a test bed while developing new modeling methods. Other papers attempt to use data-driven modeling as a tool to better understand, or potentially predict the behavior of a dynamical system. The primary goal of this thesis is to further the symbiotic relationship between these two research areas. Firstly, this paper provides a concrete example of how a basis function decomposition of the Lorenz system can provide a quantitative performance metric for data-driven modeling methods. Secondly, a novel application of an existing modeling …

Application Of Machine Learning To Predict Ultrasound Wave Propagation In Biphasic Fluid–Solid Media, Jahnavi Dandamudi

Theses

The objective of this thesis is to investigate the application of Machine Learning (ML) algorithms to predict ultrasound wave propagation in the cartilage tissue of the knee joint. The learning data necessary for the ML algorithm has been generated through finite-element method (FEM)-based simulations for solving the Biot theory equations governing the propagation of continuous ultrasound through the cartilage. Specifically, we computed the ultrasound-induced dilatations and displacements in the microscale cartilage that is represented as consisting of four zones, namely the chondrocyte cell and its nucleus, the pericellular matrix (PCM) that forms a layer around the chondrocyte, and the extracellular …

Experimental And Numerical Investigation Of Combined Mechanical, Electrical, And Thermal Response Of Lr61 Alkaline Batteries At Various Loading Rates, Abigail C. Schauer

Theses

Lithium batteries are present in most electronic devices and machines but pose a serious threat to users if they are over heated, over charged, or otherwise physically damaged. In order to better understand the underlying causes of lithium battery fires, testing procedures at various rates of low, intermediate, and dynamic are established with less volatile 1.5 V LR61 alkaline batteries. The various rates are to cover representative loading rates from scenarios ranging from dropping a cell phone a short distance to a high-rate drone collision with an aircraft. Material characterization is also done on the metal casing to better understand …

Efficient Lossless Compression Of Malaria Infected Image Datasets Using Vision Transformers And Deep Autoencoders, Md Firoz Mahmud

Theses

In the field of medical imaging, lossless compression techniques play a critical role in maintaining the fidelity of medical data, while improving the efficiency of data storage and transmission, especially in telemedicine applications. This thesis addresses the development of a novel machine learning-based method for lossless compression of images of erythrocytes infected with malaria. The proposed method has two stages. In the first stage, a Vision Transformer, a computer vision model that can learn long-range dependence, is employed to separate erythrocyte images into two categories: infected and uninfected. This classification stage is essential as it allows the subsequent compression approaches …

Performance Comparison Of Variable Center Body Configurations For A 25 Mm Rotating Detonation Rocket Engine, Kaito Jonathan Durkee

Theses

Rotating detonation rocket engines (RDREs) are propulsion devices that harness circumferentially traveling detonation waves, providing theoretical benefits compared to classical, deflagration-based combustors. Because of the integration challenges posed by typical annular (Center Body, CB) RDREs, a cylindrical (Center Bodiless, CBL) chamber geometry is attractive. To understand the corresponding trade-offs for small-scale devices, the performance and operational characteristics for a 25 mm with removable 15 mm center body are compared using gaseous methane and hydrogen with oxygen, operating at varying equivalence ratios and at a total mass flow rate of 0.076 kg/s and varying mass flow rates at an equivalence ratio …

Analyzing Code Generation By Ai Models: An Anova-Based Study Of Quality, Consistency, And Composite Ranking, Rajavi Gontiya

Theses

As generative Artificial Intelligence(AI) tools become increasingly common in software development, there is a growing need to understand how well these tools perform beyond just producing code that runs. This thesis examines the performance of four popular generative AI models, ChatGPT (GPT-4 mini), GitHub Copilot, Code LLaMA 3.3, and DeepSeek Web, in generating code that is not only functionally correct but also efficient and maintainable. To do this, we tested each model on six real-world-style coding problems sourced from LeetCode, covering a range of algorithmic challenges like dynamic programming, graph traversal, and array manipulation. Using a consistent prompting strategy, we …

Ai Enabled Scrabble Scoring System : Design And Implementation, Aditya Narayan Jha

Theses

The scope of this thesis is to present an AI-powered system for automatically scoring real-world Scrabble games using computer vision and deep learning. To achieve this purpose a DeepLabv3 model is trained to segment the board from top- down images, while an EfficientNet-B0 classifier identifies individual tile characters, including blank and empty tiles. The system continuously tracks the gameplay by detecting newly placed tiles and applies official Scrabble rules to compute scores, including crosswords, bonus tiles, and bingo logic simultaneously. The scoring engine supports multi-move gameplay, player turns, and endgame handling. All moves are visualized with a color-coded board and …

Sidelobe Reductions In Linear And Circular Phased Array Antennas Based On Hybrid Synthesis Techniques, Eli C. Brothers

Theses

The concentration of electromagnetic waves within an angular space is made possible by radiating devices, typically realized in the form of an antenna. Hence, energy emitted or received outside of the intended field of view is manifested in the sidelobes and minor lobes of a radiation pattern, of which sidelobes are commonly responsible for unwanted interference and signal spread. To mitigate these issues, this study seeks to investigate the efficacy of a hybrid synthesis technique based on electrically displaced phase center antenna (E-DPCA) and partially-tapered methods in reducing the sidelobes of linear and planar arrays by optimizing the excitations of …

Evaluation Of Strain-Rate Sensitivity Of 3k70pw/Inf114 Woven Fiber-Reinforced Composite Material, Elias James Gerstein

Theses

Fiber reinforced composites have seen continued use in aerospace and automotive industries due to their inherent high strength-to-weight ratios, which makes them ideal choices for vehicles where fuel economy is an important design factor. However, it is necessary for structures in these industries to preserve the life and safety of passengers in the event of a crash; thus, crashworthiness of these vehicles must be tested. Many finite element material models for simulating composite materials exist, but few take strain rate effects into account, which is important for accurate modeling of dynamic crash scenarios. LS DYNA MAT_213 is a material model …

An Evaluation Of The Idm Car-Following Model : Simulation And A Dynamical Systems Perspective, Trevor Mcclain

Theses

The Intelligent Driver Model (IDM) is a car-following model that has existed since the early 2000s, existing as one of the most widely used follow-the-leader models to simulate safe and realistic driver behavior. In this work, the IDM is used to evaluate the suitability of ROS 2-Gazebo for vehicle simulation, showing that significant non-determinism is present within the simulation. Additionally, we evaluate the effects of delay and an inserted Followerstopper car following model on the traffic dynamics of the system. Specifically, the generation of stop-and-go waves in idealized traffic from a dynamical systems perspective is examined. We also show that …

Exploration Of Various In-Space Fuels With Differing Characteristic Timescales For Small-Scale Rotating Detonation Rocket Engines, Raj Tejas Dave

Theses

This thesis summarizes the performance of a small-scale rotating detonation rocket engine (RDRE) using methane or hydrogen as the fuel with oxygen as the oxidizer. Specifically, a 25 mm RDRE with a 5 mm annular width and 31.2 mm length is experimentally evaluated at varying equivalence ratio for a fixed total mass flow rate of 0.076 kg/s, as well as varying total mass flow rate for fixed equivalence ratios of 1.25 and 1.00. Experimental measurements for the hot-fire tests include thrust, chamber pressure, specific impulse, and detonation mode parameters. For both sensitivity studies, hydrogen outperforms methane with a peak thrust …

Evaluating The Accuracy Of Johnson-Cook Strain Rate Sensitivity For Fcc Aerospace Structural Materials, Sydney Carlota Resnick

Theses

Understanding aerospace materials’ strain rate sensitivity is crucial for accurate designs and analysis for structural performance in dynamic loading conditions, such as rocket launches, airplane collisions, and debris impacts. Three common aerospace face-centered cubic (FCC) metals are evaluated through various strain rate tests and FEA and simulation modeling. Quasi-static and intermediate tests are performed on a hydraulic load frame, and dynamic tests are run on a split-Hopkinson pressure bar, all in tensile motion. This covers the range of strain rates from 1x10-3 s-1 to 1x103 s-1. Results reveal little strain rate sensitivity at room temperature for A286 steel and AL7075 …

Heat Transfer And Aerodynamic Losses Caused By Additively Manufactured Turbine Blades Enhanced By Micro-Machining And Chemical Polishing, Mason Hancock

Theses

As turbine engines are pushed to operate at higher temperatures and pressure ratios, turbine blades are forced to interact with more extreme conditions. Additive manufacturing (AM) offers new possibilities for meeting these challenges by allowing the fabrication of complex shapes from advanced materials like GRX-810, an alloy designed to maintain strength and durability at extreme temperatures. However, one of the trade-offs with AM is its inherently rough surface finish, which can vary depending on how the surface is treated after printing. This thesis investigates how different surface treatment methods, including micromachining and chemical polishing, as well as the untreated, as-built …

Optimizing Reliability And Design Efficiency Of Liquid Rocket Engines : A Structural Margin Approach For The Early Design Lifecycle, Mason Tudor

Theses

This thesis introduces a reliability-based design methodology aimed at mitigating costs incurred during the Test-Fail-Fix cycle for Liquid Rocket Engines (LREs) by addressing the limitations of the standard Factor of Safety (FoS) approach. By integrating a neural network informed by a structural model into a Bayesian framework for uncertainty quantification, the methodology enables the characterization of structural margin and early analysis of failure risks in the design lifecycle. A generalized 3D component geometry is subjected to typical LRE loading environments within Finite Element Analysis software to gather data for stress and strength distributions. These distributions serve as a foundation for …

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 …

Sogar: Self-Supervised Spatiotemporal Attention-Based Social Group Activity Recognition, Naga Venkata Sai Raviteja Chappa, Pha Nguyen, Alexander H. Nelson, Han-Seok Seo, Xin Li, Page Daniels Dobbs, Khoa Luu

Electrical Engineering and Computer Science Faculty Publications and Presentations

Social group activity recognition is crucial for various applications including surveillance, human-robot interaction, and behavioral analysis. Current approaches often require extensive manual annotations and rely heavily on pre-trained detectors, limiting their practical applications. Additionally, existing methods struggle to effectively model long-term spatiotemporal relationships in group activities. This paper introduces a novel approach to Social Group Activity Recognition (SoGAR) using Self-supervised Transformers network that can effectively utilize unlabeled video data. To extract spatio-temporal information, we create local and global views with varying frame rates. Our self-supervised objective ensures that features extracted from contrasting views of the same video are consistent across …

2024-2025 University Awards Of Excellence, Georgia Southern University

University Awards of Excellence

• Student Success
• Teaching
• Research
• Discovery & Innovation
• Inclusive Excellence
• Operational Efficiency, Effectiveness and Sustainability
• Community Engagement
• Collaboration
• Academic Excellence
• Sustainability
• Leadership
• Team Award