Digital Commons Network^™

Assessing The Role Of Daily Thermal Fluctuations In The Performance Of Mitochondrial Energy Transduction Of The Centrarchid, Lepomis Cyanellus, Grayson Hofmann

Masters Theses

Freshwater systems are affected by current climate extremes, forcing species found in these systems to withstand drastic changes in temperature. Temperature changes affect these organisms by altering their metabolic rate and energy balance. Increases in temperature can lead to an increase in oxygen consumption, which ultimately increases the need for more energy production. Mitochondrial energy transduction of green sunfish (Lepomis cyanellus) and many other fish species after a thermal insult, has hardly been explored. This study complements the limited research available on mitochondrial function in similar species, as they ignore the possibility of consecutive thermal events, which are …

The Relationships Of Anxiety Sensitivity, Intolerance Of Uncertainty, And Alexithymia On University Students’ Experiences Of Depression, Anxiety, And Stress, Vanessa Watterson

Masters Theses

Undergraduates’ mental health has seen a significant decline over the past several decades. Past research has identified significant correlations between specific cognitive vulnerabilities and experiences of psychological distress. The current study reviewed the literature on relationships between three cognitive vulnerabilities (anxiety sensitivity, intolerance of uncertainty, and alexithymia) and individuals’ experiences of depression, anxiety, and stress. Further, this study utilized a hierarchical regression model to examine the predictive abilities of anxiety sensitivity, intolerance of uncertainty, and alexithymia on depression, anxiety, and stress, respectively. The findings indicated that all three cognitive vulnerabilities had significant and unique contributions to depression, anxiety, and stress …

Childhood Maltreatment And Social Anxiety In College Students: Examining The Role Of Distress Tolerance, Alexa N. Matthies

Masters Theses

This study examines the relationship between childhood emotional maltreatment and social anxiety, with a focus on the mediating role of distress tolerance. Emotional maltreatment has been linked to numerous adverse psychological outcomes, yet its specific contribution to social anxiety symptoms requires further exploration. Using a sample of 94 participants aged 18 to 24, this research employs validated instruments, including the Childhood Trauma Questionnaire and Liebowitz Social Anxiety Scale, to assess the prevalence and impacts of emotional abuse and neglect. Findings reveal significant correlations between emotional abuse, neglect, and elevated social anxiety symptoms. Distress tolerance emerged as a key mediator, partially …

Small Town Voices And Stories: Rural Older Populations And Health Narratives, Wyatt K. Zumbahlen

Masters Theses

Stories play a vital role in our humanity; they help us understand the world around us. As we age, our experiences, along with those of the people around us, shape our perceptions of health and influence our healthcare choices. For older adults, narratives become an essential resource in making healthcare decisions. In rural communities like Coles County, Illinois, these stories are especially important for older adults who are navigating the limited care and services available in the area. This reliance on narratives impacts their willingness to seek care, highlighting the need to recognize the power of stories in empowering older …

Habitat Use And Selection Of Silver Carp In The Lower Wabash River System, Coy B. Blair

Masters Theses

The spatial ecology of non-native species in invaded systems remains relatively poorly understood despite the importance of suitable habitat in the success of invasion. Silver Carp Hypophthalmichthys molitrix are a highly invasive non-native species with established populations throughout the Midwestern United States. Much research has focused on habitat use of bigheaded carp in large river systems, though invasion risk remains high in smaller systems, such as tributaries of the Great Lakes and the Ohio River. The Wabash River, a unique system in the Midwest, remains largely un-impounded and is comparable to many of the smaller riverine systems at risk of …

The Lumpkin College Of Business And Technology Living-Learning Community: An Examination Of The Llc's Development And Assessment During The First Year Of The Program, Elian G. Mackey

Masters Theses

Living-learning communities (LLCs) are well-known as a means of fostering student engagement tied closely to academics and sense of belonging among peers outside of the classroom. However, the success of an LLC depends not only on its design and implementation but also on the strength of its assessment practices. This paper examines the efficiency of the current assessment practices of the Lumpkin College of Business and Technology LLC, Eastern Illinois University’s newest LLC in the 2024-2025 Academic Year, at this point in its development. With the community is still early in its development, assessment efforts faced challenges. Through a review …

Burnout And Job Satisfaction In Practicing School Psychologists, Cole Westmoreland

Masters Theses

The purpose of this study was to identify the primary variables associated with burnout among practicing Midwest school psychologists. More specifically, the purpose was to determine if the same variables that correlated highly with Illinois school psychologists’ burnout levels in a 1994 study by Niebrugge and a 2004 study by Hoffman have held constant over the last two decades. Additionally, the varying roles of school psychologists and how they have impacted burnout and job satisfaction were addressed by identifying differences between ideal and actual role involvement. Survey materials used included the Maslach Burnout Inventory, 4^th edition, a Job Satisfaction …

Women Spinning On The Edge: Finding And Redefining The “Spinster” In The Witches Of Discworld, Kathryn Ann Fitzmaurice

Masters Theses

The word “spinster” has undergone a series of evolutions over the past seven hundred years, first coined to describe the occupation of women engaged in the spinning of plant and animal fibers into thread and yarn in the Middle Ages and later a legal marital status designation used until the 21^st century. The connotation associated in social contexts became pejorative. This project’s tracing of the word spinster is used to set up the broader scope looking at how the spinster can be viewed as an archetype, what we can learn through the lenses of gender and feminist theory, and …

The Influence Of Family-School Communication On Junior High School Students’ Academic Success, Stephen Junior Amoah

Masters Theses

This study examines the influence of family-school communication on students' academic success in the context of Ghana, with a particular focus on Junior High School (JHS) students. While existing research emphasizes the importance of family involvement in educational outcomes, limited studies explore how family-school communication directly affects academic success in Ghana. By using a mixed-methods approach, the study combines quantitative and qualitative data collection. The quantitative component includes an online survey distributed to JHS graduates, assessing the frequency, impact, methods, and barriers of communication between families and schools, as well as their perceived effect on academic performance. The survey includes …

Examining Group Components On Exercise Adherence In Older Adults, Brody Polk

Masters Theses

Older adults remain the least active population despite the well-known benefits of regular exercise (Beauchamp et al., 2007; Rúa-Alonso et al., 2023). Researchers examining exercise adherence in older adults have determined two modalities of training—individual and group—with individual training being the preferred mode of exercise for older adults (Beauchamp et al., 2007). However, previous research has failed to evaluate the various components of group exercise before making a comparison with individual exercise to determine which form best predicts older adults’ adherence to exercise (Hawley-Hague et al., 2014). As such, the purpose of the current study was to examine the effects …

Evaluating Tropospheric Delay Modeling For Enhanced Geospatial Accuracy, Adeyinka Olaoluwa Olaseinde

Masters Theses

Interferometric Synthetic Aperture Radar (InSAR) is a vital technique for monitoring ground surface deformation across large spatial scales. However, variability in atmospheric water vapor, pressure, and temperature introduces tropospheric delays that can significantly affect measurement accuracy. These delays are often corrected using outputs from numerical weather prediction (NWP) models. RAiDER, an open-source Python package, facilitates this by estimating tropospheric delays using models such as the High-Resolution Rapid Refresh (HRRR). Previous studies have shown that weather model–based corrections can substantially reduce atmospheric noise in InSAR data but also highlight persistent residual errors, especially at spatial scales smaller than the model grid …

Effects Of Climate Change On Fungal Diversity And Function In Streams, Syeda Tasfia Imam

Masters Theses

"This study investigated the impact of climate change, particularly drought, on leaf decomposition and associated fungal and macroinvertebrate communities in freshwater ecosystems. With climate change, streams may experience altered hydrology, leading to shifts in community composition and biogeochemical processes. Fungi decompose organic matter, facilitate nutrient cycling, and support food webs. However, drought can disrupt these processes by reducing water availability, causing declines in fungal diversity and activity. I examined leaf breakdown and associated biota in 13 stream sites across varying hydrologic conditions, from perennial to ephemeral flow patterns. Flow duration varied during the 8-week study. Leaf breakdown was significantly related …

Environmental Pollutants: A Risk For Premature Aging And Transgenerational Toxicity, Alex Kathleen Daniels

Masters Theses

"This thesis aims to identify interactions between C. elegans’ reproductive system and global pollutants such as microplastics, HgCl₂, nicotine, and pesticides. Human exposure to these pollutants and their effect on reproduction can be analyzed using the C. elegans as a model organism. Systematic analysis of matricidal hatching, progeny production, germline apoptosis, and lifespan assays determined effects on reproduction and reproductive aging. Through my experiments, it was determined that no significant effects were produced from the selected polystyrene, polyethylene, vape juice, nicotine hemi sulfate salt, imidacloprid, or glyphosate regarding matricidal hatching or progeny production. I confirmed that HgCl₂ induced significant effects …

Transfection Of Ionizable Lipid Nanoparticles On Raw 264.7 And Mda-Mb-231, Lavanya Bhargava

Masters Theses

"This thesis investigates the preparation, characterization, and transfection efficiency of various ionizable lipid nanoparticles (LNPs) formulated for the delivery of mRNA encoding enhanced green fluorescent protein (EGFP) in RAW 264.7 macrophages and MDA-MB-231 breast cancer cell lines. The ionizable cationic lipid studied are ALC-035, C12-200, C14-4, PPZ-A10, DLin-MC3-DMA. The study addresses the need for effective gene delivery systems to provide a safe and versatile platform that protects and transports nucleic acids into target cells. LNPs were synthesized using microfluidic mixing methods, incorporating lipid components such as the cationic lipids, DSPE, DOPE, cholesterol and PEG lipids to achieve controlled particle sizes, …

Lidar From The Skies: A Uav-Based Approach For Efficient Object Detection And Tracking, Baya Cherif

Masters Theses

"Recently, there has been a growing interest in deploying the Light Detection and Ranging (LiDAR) technology to gain traction in the autonomous vehicle industry, its applications are expanding into areas like smart cities, agriculture, and renewable energy. This work proposes an advanced approach to enhance aerial traffic monitoring using Li- DAR. We aim to provide accurate, real-time object detection and tracking from an aerial perspective by integrating Unmanned Aerial Vehicle (UAV) with LiDAR, culminating in a smart UAV-integrated LiDAR (A-LiD) sensor for traffic surveillance. We introduce an adapted version of one of the newest methods of the cutting-edge 3D object …

On Optimizing Sensor Data Collection, Processing, And Storage For Industrial Additive Manufacturing, Steven Thompson

Masters Theses

The widespread adoption of digital data management methods for transformative technologies, such as additive manufacturing (AM), within the aerospace industry is impeded by poor interoperability between AM component manufacturing processes. Moreover, data quality may be compromised due to sensor failures or other corruptions. Additionally, massive amounts of data are collected during these processes, often needing to remain accessible for decades. These storage costs can place a significant financial burden on smaller suppliers. This work aims to make digital data management methods more affordable and, therefore, approachable for smaller suppliers.

First, the design and initial implementation of an affordable and adaptable …

Augmentation Of Quality Of Service, Security, And Trust In Edge-Enhanced Iot Networks Leveraging Blockchain, Kyle Matthew Whitlatch

Masters Theses

The meteoric rise of the Internet of Things (IoT) has led to multiple architectural schemas to handle the data these devices create. Edge-enhancement is a technique where groups of IoT report to a median layer to aggregate the data before relaying to the endpoint. These edges also open opportunities to perform more operations to ensure devices are behaving properly before committing the data to long term storage. By interconnecting these edges with a technology like blockchain, it is possible to have an interconnected and responsive system to ensure the Quality of Service (QoS) of the IoT devices within the architecture …

Auto-Tuning And Applications Of Transient Voltage Suppressor Models In Full-Wave Simulations, Daniel Peter Szanto

Masters Theses

System efficient electrostatic design (SEED) combines full-wave geometry information with SPICE models of non-linear protection devices, typically transient voltage suppression (TVS) diodes, to allow optimization and validation of electrostatic design (ESD) protection early in the design process. TVS models have previously been developed which may be used in SPICE simulation tools like Keysight ADS, but these models could not be used directly in full-wave simulation tools like CST Studio. A process was developed for converting existing ADS models of TVS devices to a form that can be used within a CST full wave/SPICE hybrid simulation. Three TVS models were converted …

Constraint Programming For Optimized Degree Paths, Mitchell Lee Skaggs

Masters Theses

This work presents a degree planning tool developed as part of the Pervasive Cyberinfrastructure for Personalized eLearning and Instructional Support (PERCEPOLIS) project which generates complete, valid, and personalized degree paths at any point from admission to graduation. This eliminates tedious calculation and double-checking, allowing advisors to focus on a student’s long-term plans and students to proactively explore potential degree paths. The original research contribution of this work is the use of a unified model for academic requirements to automatically translate complex, real-world curricula into a constraint programming model that can be quickly optimized based on personalized student criteria.

Automatically translating …

System Design For Highly Accurate And Efficient Target Detection In Triaxial Testing, Qingqing Fu

Masters Theses

Accurate and automated recognition of coded targets is crucial for high-precision photogrammetry-based measurements in triaxial testing. Traditional recognition methods, including those based on deep learning and table decoding, often struggle with issues such as perspective distortion, rotation, and variable lighting, leading to unreliable results. While deep learning approaches offer some improvements, they remain computationally intensive and sensitive to environmental factors.

This thesis introduces an innovative system that replaces deep learning algorithms with a blob analysis-based method for efficient and robust recognition of coded targets. The system also employs newly designed solid points of varying sizes and patterns, eliminating the need …

Ground Testing Of Cryogenic Environments In Vacuum Conditions, Lucas A. Scott

Masters Theses

The environment in the vacuum of space is unforgiving and ever-changing. Not only facing the lack of a protective atmosphere, but powerful radiation and extreme temperature ranges as well. Equipment destined for space must be hardened to withstand them. Just launching satellites that are theoretically able to survive these conditions is unfeasibly costly in the event of failure. Because of this, spacecraft must be tested in a simulated environment that can match the harsh climate in space. Therefore, it is the goal of the Gas and Plasma Dynamics Lab's (GPDL) to test and prove specific methods of recreating these conditions. …

Critical Behavior Ofthedilutedquasi-Onedimensionalquantum Ising Model, Logan Bradley Sowadski

Masters Theses

We explore the phase transition in the diluted quasi-one-dimensional quantum Ising model. We begin by giving an introduction to the Ising model followed by derivations of the properties and observables. A brief overview of Monte-Carlo simulations is also given focusing on two algorithms that make simulations for physically realizable systems possible, the Metropolis and Wolff algorithms. We finally discuss the concept of random disorder in the system and the effects this can have on the bulk of the system.

These concepts are then directly applied to a quasi-one-dimensional Ising model. Motivated by recent experiments on the spin-chain material cobalt niobate, …

Development Of Stalling Detection Algorithms And Operator Behavior Models For Evaluating Hydraulic Excavator Performance, Mateo Fernando Montenegro Defaz

Masters Theses

This study aims to develop a reliable algorithm for stalling detection and investigate how operator behaviors impact the truck-loading process, focusing on swing and bucket rotations. While the study of excavator digging conditions and equipment performance is well understood, describing stalling from telemetry data and the influence of operators’ behavior on overall system efficiency remain underexplored. This study seeks to: (i) develop a reliable algorithm for stall detection by analyzing key operational variables such as velocity and angles; (ii) implement statistical and machine learning techniques, specifically a Support Vector Machine (SVM) classification algorithm, to differentiate between ideal and non-ideal digging …

Overall Tropospheric Noise Over The St. Louis Using Isce And Fringe Processing, Maryann Lee

Masters Theses

Interferometric Synthetic Aperture Radar (InSAR) is a satellite-based technique that is used to measure various aspects such as ground deformation, earthquakes, volcanic activity, and motions of glaciers. Although the technique has proved very useful, measurements errors such as ionospheric and tropospheric noise, and deformation often cause problems with making precise measurements. InSAR is a tool used in geodesy that is used to measure the change of surface deformation over time through a series of repeated SAR acquisitions. These errors in the acquisitions occur from factors of signal decorrelation, atmospheric delays, and phase unwrapping errors that affect the accuracy and precision …

Frequency-Tracker And Power Supply For Piezoelectric Lunar Dust Removal Actuator, Praneeth Uddarraju

Masters Theses

"This work presents a reconfigurable phase-locked loop (PLL)-based control system for the resonant excitation of piezoelectric actuators aimed at automated removal of particulate contaminants from photovoltaic (PV) surfaces—particularly in extraterrestrial environments such as the lunar surface. Regolith or lunar dust buildup on solar panels is a serious hazard to the effectiveness of energy harvesting on extended missions. By using high-frequency structural excitation and inertial forces the suggested system removes surface impurities. Tunable Sallen-Key low-pass filters for reliable feedback conditioning are used in conjunction with a digitally implemented PLL on an FPGA (XLR8 platform) to precisely lock the drive frequency to …

Design Of A Spacecraft Power System Experiment, Jay Bakulkumar Kamdar

Masters Theses

This research delves into the design, implementation, and analysis of a controlled experimental framework for photovoltaic cell characterization and its application in spacecraft power systems. Such a system was simulated and validated by benchmarking characteristics of a photovoltaic module and implementing them in a system design simulation yielding performance data for comparative analysis. A hardware setup was developed to perform IV characterization tests under steady state thermal conditions. Experiments conducted across various thermal regulation profiles helped quantify the effects of temperature on the photovoltaic performance parameters. Active cooling reduced the steady state cell temperature by 17.9% and improved the cell …

Enabling Drone-Integrated Active Microwave Thermography Via A Slot Antenna Design, Alec P. Fitzmaurice

Masters Theses

Civil infrastructure inspection quality and inspector safety may be enhanced from the advancement in the capabilities of nondestructive testing and evaluation of remote or otherwise hard-to-reach areas such as nuclear power plants, wind turbines, bridges, or other civil infrastructure using drone-based Active Microwave Thermography (AMT). AMT is a nondestructive testing technique that utilizes high frequency energy (often radiated from an antenna) to induce heating in a specimen. Following this thermal excitation, an infrared camera is used to measure the resulting surface thermal profile. From this, defect indications may be detected. To enable drone-based deployment of AMT, where the antenna size …

Performance Of Standard Medical Mllms On Ecg Image Data, Prisha Anil

Masters Theses

This work presents a structured benchmarking study of multimodal large language models (MLLMs) applied to electrocardiogram (ECG) interpretation tasks. We evaluate three representative architectures: MedGemma, HuatuoGPT-Vision, and LLaVA-Med, across progressive experimental stages involving text-only structured prompt normalization, text–image fusion with ECG plots, and full multimodal fusion incorporating time-series signals. A standardized five-section cardiology prompt was designed to enforce consistent output structure and SCP-code alignment, enabling reproducible metric computation across models. Quantitative evaluation using BERTScore, token-level F1, and diagnostic accuracy demonstrates that HuatuoGPT-Vision achieves the highest semantic and diagnostic alignment, while MedGemma exhibits superior formatting stability and reproducibility. In contrast, LLaVA-Med …

Investigation Of Arm Stiffness Modulation During Overground Physical Human-Human Interaction, Henry Tien

Masters Theses

The vision of advancing robots capable of direct physical engagement with humans begins with an understanding of how humans interact with each other. Even rudimentary interactive tasks, such as shaking hands, provides tremendous challenges for modern robotics and current research into the biomechanics of such interactions is limited. Thus, further analysis of physical Human-Human Interaction (pHHI) will bolster efforts to enhance collaborative robot capabilities. To this end, a custom Force Perturbation Handle (FPH) was developed, including the requisite mechanical, electrical, and software systems, to investigate the unique role of arm stiffness modulation in haptic communication between humans. The novel device …

Aerodynamic Design Workflow Optimization For Fsae: Advanced Cfd And Hpc Automation, Kyle Maynor

Masters Theses

This research identifies and resolves inefficiencies in the Computational Fluid Dynamics (CFD) workflow of the Missouri S&T Racing Formula SAE Team’s aerodynamic development. Key bottlenecks were found in simulation runtime, laborious simulation preparation, an overly manual simulation submission process, and unchecked mesh quality. A fully reimagined workflow was implemented with simulation parameters to adjust vehicle attitudes. From this, an automated design sweep could be executed to generate aero maps of the developing vehicle using the Design Manager Project. A Python-based submission app handles the terminal interfacing and macro editing that significantly slowed the job submission process before. Using a university …