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2025

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Using Quantum Annealing For Sampling And Pattern Generation In Generative Machine Learning And Catastrophic Forgetting Mitigation, Abdelmoula El Yazizi Dec 2025

Using Quantum Annealing For Sampling And Pattern Generation In Generative Machine Learning And Catastrophic Forgetting Mitigation, Abdelmoula El Yazizi

Theses and Dissertations

The first goal of this dissertation was to understand the reasons for the absence in previous investigations of significant and consistent improvements in the trainability of Restricted Boltzmann Machines (RBM) when the Quantum Annealer (QA) was used for sampling from the RBM probability distribution. The second goal was to address the shortcomings of those previous investigations, explore possibilities of improving RBM training, and identify other machine learning applications that could benefit from sampling or from generating patterns by the QA. The first part of this dissertation focused on a Local-Valley (LV) centered approach to assessing the quality of sampling. QA-based …

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Faculty Adoption Of The Canvas Learning Management System: An Application Of The Utaut2 Framework, Alyssa Hutcheson Mckinley Dec 2025

Faculty Adoption Of The Canvas Learning Management System: An Application Of The Utaut2 Framework, Alyssa Hutcheson Mckinley

Theses and Dissertations

This study aimed to examine faculty adoption of the Canvas LMS at a public university through the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. Survey data were collected from faculty across multiple colleges within the university and were used to explore the predictive power of the UTAUT2 constructs including hedonic motivation, facilitating conditions, performance expectancy, effort expectancy, social influence, habit and behavioral intention. In addition to this, disciplinary differences along with discipline-specific needs were also considered in order to better understand adoption patterns. The results of this study indicated habit, hedonic motivation, facilitating conditions, and the …

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How Are Teacher Leadership Characteristics Defined?: Investigating The Development Of Leadership Identity, Role Clarity, And Administrative Support, Anna C. Daher Dec 2025

How Are Teacher Leadership Characteristics Defined?: Investigating The Development Of Leadership Identity, Role Clarity, And Administrative Support, Anna C. Daher

Theses and Dissertations

The research study investigated how graduates of a teacher leadership preparation program perceived their development as teacher leaders, the factors that supported or hindered their leadership practices, and how their lived experiences aligned with the Teacher Leader Model Standards. The mixed method qualitative research study was designed to examine how teacher leaders make meaning of their growth and enactment of leadership while remaining in classroom roles. Eighteen graduates of a teacher leadership preparation program at a public university in Mississippi completed a survey on their leadership development and current roles. Of those, six participants representing diverse educational backgrounds, experience levels, …

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Assessing Water Quality And Algae In Wetland Reserve Easements In The Alluvial Valleys Of Mississippi And Louisiana, Avery June Wissmueller Dec 2025

Assessing Water Quality And Algae In Wetland Reserve Easements In The Alluvial Valleys Of Mississippi And Louisiana, Avery June Wissmueller

Theses and Dissertations

Wetlands in agricultural landscapes play a critical role in improving water quality by retaining and transforming nutrients and pollutants. In the Mississippi Alluvial Valley (MAV), widespread conversion of bottomland hardwood forests to row-crop agriculture has diminished this natural function. The Wetland Reserve Easement (WRE) program restores wetlands on marginal farmland to recover ecosystem services. In this study, I evaluated water quality and algal productivity in WREs compared to natural reference wetlands and crop sites. Restored wetlands showed improved water quality compared to crop sites and were often comparable to or intermediate between reference wetlands. Seasonal variation and hydrologic differences shaped …

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Nuclear Transparency Of Photoproduced Rho-0 Mesons., Bhesha Raj Devkota Dec 2025

Nuclear Transparency Of Photoproduced Rho-0 Mesons., Bhesha Raj Devkota

Theses and Dissertations

Photonuclear reactions using a real photon beam offer a unique opportunity to explore fundamental aspects of QCD within the nuclear medium. The experiment E12-19-003, conducted at Jefferson Lab’s Hall D in 2021, aimed to look for the transition from hadronic to partonic degrees of freedom and to explore the predicted QCD phenomenon known as color transparency in photons, mesons, and baryons. A key objective was to examine the transition of the photons from a resolved (hadronic fluctuation) configuration to a point-like electromagnetic probe. The experiment utilized liquid deuterium, helium, and carbon foils as target nuclei, which were probed by photon …

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Spectral Methods And Wavelets In Quantitative Finance Problems, Davood Damircheli Dec 2025

Spectral Methods And Wavelets In Quantitative Finance Problems, Davood Damircheli

Theses and Dissertations

This dissertation leverages advanced spectral methods and wavelet techniques to address complex quantitative finance models, enhancing the computation of financial derivatives and risk assessments. Building on foundational studies, this research extends these methods to broader, intricate financial contexts. The first section explores fractional-order generalized Chebyshev wavelets (FOCW) applied to fractional advection equations, relevant in both mathematics and physics. Using a regularized beta function to compute the Riemann-Liouville fractional integral operator, this study introduces a novel numerical scheme with robust accuracy, confirmed through error analysis and empirical tests. The second part examines the fractional Black-Scholes equations for option pricing under subdiffusive …

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Optimizing Military Fighter Jet Selection: A Decision Analysis Approach For Nuclear-Capable Aircraft, Eni Kelechi Ofong Dec 2025

Optimizing Military Fighter Jet Selection: A Decision Analysis Approach For Nuclear-Capable Aircraft, Eni Kelechi Ofong

Theses and Dissertations

This research investigates the strategic decision-making process involved in selecting a nuclear-capable fighter aircraft for NATO (North Atlantic Treaty Organization) nations in Europe. In adaptation to the continuously changing technology landscape and the necessity for enhanced deterrence capabilities, this study evaluates three potential aircraft: the legacy Panavia Tornado (PA-200), the widely deployed F-16 Fighting Falcon (F-16), and the advanced F-35 Lightning II (F-35). Each platform presents distinct advantages and limitations regarding operational performance, mission adaptability, cost-effectiveness, and long-term sustainability. To systematically assess these alternatives, the study employs various decision analysis frameworks, including Multi-Criteria Decision Analysis (MCDA), single dimensional value function …

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Inductively Heated Platinum Electrodes, Jayamini Madumali Mudugamuwa Hewage Dec 2025

Inductively Heated Platinum Electrodes, Jayamini Madumali Mudugamuwa Hewage

Theses and Dissertations

This dissertation presents the fabrication and application of a 150 micrometer platinum microelectrode for induction heating, with a copper coil generating the electromagnetic field and the heating process controlled using pulse width modulation technique (PWM) to regulate the duty cycle of a high-frequency signal. Electrochemical characterization, including resonance frequency determination, peak-to-peak potential optimization, and scan rate variation, is conducted using a 5 mM [Ru(NH3)6]2+/3+ solution in 0.1 M KNO3 to calibrate current variations with changing duty cycles, while the temperature increase (delta T) is estimated using the Seebeck coefficient of [Ru(NH3)6]2+/3+. The study further explores the application of induction heating …

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Toward Approachable Reinforcement Learning: Using Dataflow Application And Large Language Models For Human-Understandable Policies, Joel Thomas Huber Dec 2025

Toward Approachable Reinforcement Learning: Using Dataflow Application And Large Language Models For Human-Understandable Policies, Joel Thomas Huber

Theses and Dissertations

Optimal decision-making under uncertainty is a challenge in everything from board games to business scenario planning. With visual programming systems, end-users can utilize reinforcement learning (RL) agents to identify an optimal policy in their own stochastic environments. However, while the RL agent can demonstrate that an optimal policy exists, RL polices tend to be opaque and difficult to interpret. This thesis investigates how Large Reasoning Models (LRMs) can generate human-understandable rules from RL policies. I compare multiple approaches and models, varying the format of the RL policy provided to the LRM as well as the prompting strategy. My results show …

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Impacts Of Upgrading Gcc On The Srtuner Compiler Autotuning Algorithm, Jonathan D. Butterfield Dec 2025

Impacts Of Upgrading Gcc On The Srtuner Compiler Autotuning Algorithm, Jonathan D. Butterfield

Theses and Dissertations

An often-overlooked research gap is the applicability of research over time. The impact of updating the GNU Compiler Collection version was investigated for the SRTuner compiler optimization research. Versions 7 through 14 were tested using documented flags and recommended flag dependencies. Quality controls measured and enforced consistency across test runs and benchmarks. The performance of SRTuner was compared to a random control while the impact of enforcing flag dependencies was evaluated. The most influential flags were investigated by turning them off in isolation, but results were mixed. It was determined that enforcing flag dependencies resulted in improved performance, but the …

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Considerations For Cottonseed Oil As A Feedstock For Renewable Fuels, John Elmore Dec 2025

Considerations For Cottonseed Oil As A Feedstock For Renewable Fuels, John Elmore

Theses and Dissertations

As the world population grows and the standard of living improves in developing countries, global energy demand will continue to rise, with energy use in the developing world expected to increase dramatically more than the per capita reductions in developed countries from efficiency improvements. Nearly a third of the total global energy demand is used for transportation, resulting in a substantial contribution to greenhouse gas (GHG) emissions. While the demand for energy rises, initiatives and regulations are underway to mitigate the amount of GHG emissions to Earth’s atmosphere. As efforts progress in industry, governments, and society to reduce the total …

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Equity By Design: A North Glenn High School Equitable Practices Policy Guide, Kelli Andrews Jarrett Dec 2025

Equity By Design: A North Glenn High School Equitable Practices Policy Guide, Kelli Andrews Jarrett

Theses and Dissertations

This capstone project addresses equity gaps in dual enrollment programs in Mississippi, with a focus on North Glenn High School, a pseudonym for a high-poverty rural school. While dual credit opportunities have expanded statewide, disparities remain for first-generation, low-income, and minority students. A significant barrier is Mississippi’s reliance on ACT benchmarks for eligibility, which disproportionately excludes marginalized groups. The study examines the potential of the Pre-ACT in grades 9 and 10 as an early diagnostic tool to identify readiness gaps and inform targeted interventions before students take the ACT. Grounded in Bronfenbrenner’s Ecological Systems Theory and the Dual Enrollment Equity …

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Rapid Kinetic Fluorogenic Quantification Of Malondialdehyde In Ground Beef, Keshav Raj Bhandari Dec 2025

Rapid Kinetic Fluorogenic Quantification Of Malondialdehyde In Ground Beef, Keshav Raj Bhandari

Theses and Dissertations

Presented herein is rapid kinetic fluorogenic method to quantify malondialdehyde (MDA) in ground beef, utilizing 2-thiobarbituric acid (TBA) as the fluorogenic probe. This assay significantly shortens the total analysis time, from sample preparation to data acquisition, to just six minutes presenting a major advancement over traditional methods that typically require two hours and multiple instruments. The assay’s robustness against matrix interferences was validated using sample volume variation and standard addition calibration methods. Additionally, the effects of ambient exposure to air, washing, and cooking on MDA content in raw ground beef were quantified. While both ambient exposure to air and cooking …

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Spatiotemporal Ecology Of Mycobacterium Ulcerans And Mycolactone Functions In French Guiana And Southeastern United States Aquatic Environments, Magdalene Dogbe Dec 2025

Spatiotemporal Ecology Of Mycobacterium Ulcerans And Mycolactone Functions In French Guiana And Southeastern United States Aquatic Environments, Magdalene Dogbe

Theses and Dissertations

Mycobacterium ulcerans, the causative agent of Buruli ulcer, produces mycolactone, a polyketide toxin traditionally studied for its role in human pathogenesis. This dissertation presents a comprehensive spatiotemporal analysis of M. ulcerans and mycolactone producing mycobacteria (MPM) ecology in the Americas and also reveals mycolactone's role in the environment as a microbial community regulator. Through comparative studies in French Guiana (endemic) and the southeastern United States (non-endemic), combined with experimental microcosm investigations, this research contributes to environmental pathogen ecology understanding. Environmental surveillance across 2,226 samples from French Guiana revealed complete MPM restriction to freshwater environments, with zero detections from 1,226 coastal …

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Novel Experimental Techniques For Pressure Transients, Luliang Zhang Dec 2025

Novel Experimental Techniques For Pressure Transients, Luliang Zhang

Theses and Dissertations

This dissertation introduces novel experimental techniques for analyzing pressure transients, focusing on dynamic strain and pressure measurements to advance the understanding and application of Pulse Pressure Amplification in percussive devices. The research evaluates a high-speed linescan extensometer utilizing linescan Digital Image Correlation (DIC) on a Kolsky Bar to obtain strain data at high strain rates. This data is critical for accurate material characterization and simulations to model dynamic behavior. Additionally, a novel method for measuring dynamic pressure waves in pipe systems has been developed, enabling direct assessments of pressure amplification in devices such as tapered pipe systems. The findings contribute …

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Design, Development, And Validation Of An Automated Hole-Punching System For Precision Irrigation In Lay-Flat Poly Pipe Tubing, Micah James Foster Dec 2025

Design, Development, And Validation Of An Automated Hole-Punching System For Precision Irrigation In Lay-Flat Poly Pipe Tubing, Micah James Foster

Theses and Dissertations

Increasing pressure on water resources in agricultural regions, particularly the Mississippi Delta, demands innovative irrigation technologies to optimize water usage while maintaining crop productivity. This research presents the design, development, and validation of an automated hole-punching system for lay-flat poly pipe tubing used in precision irrigation applications. The system ensures accurate and consistent hole placement through an integrated rotary cutting die, a PLC-based control architecture, stepper motor actuation, and distance-sensing and position-synchronization. The software logic maintains precise hole spacing despite variations in tubing speed. System performance was evaluated through extensive testing and statistical analysis of hole-spacing accuracy, repeatability, and sagitta-based …

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Lecun-Pso Hybrid Initialization Of Neural Network Using Asymmetric Gait Features For Classification Of Parkinson’S Disease, Michael Joseph Carter Dec 2025

Lecun-Pso Hybrid Initialization Of Neural Network Using Asymmetric Gait Features For Classification Of Parkinson’S Disease, Michael Joseph Carter

Theses and Dissertations

Parkinson's disease (PD) is a complex condition with a wide range of clinical symptoms. It is a progressive neurological disorder that has afflicted an estimated 1 million people in the US and 10 million worldwide. The diagnosis of PD is typically based on the presence of clinical features, with no specific diagnostic test or biomarker. The methods of assessment for PD are also used, in whole or in part, for similar symptom diseases such as Multiple Sclerosis, Essential Tremors, Multiple System Atrophy, Supranuclear Palsy, Dementia with Lewy bodies and Huntington’s disease. Many of the current clinical tests have low sensitivity …

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Physics-Informed Neural Network For Maximum Detectable Distance Estimation In Mobile Gamma Spectrometry, Nancy A. Ibrahim Dec 2025

Physics-Informed Neural Network For Maximum Detectable Distance Estimation In Mobile Gamma Spectrometry, Nancy A. Ibrahim

Theses and Dissertations

Accurate estimation of the Maximum Detectable Distance (MDD) is critical for environmental remediation, nuclear incident response, and public safety. Conventional approaches assume stationary detectors and rely on computationally intensive simulations, limiting their applicability for mobile, real-time surveys. Mobile gamma spectrometry introduces additional complexities due to detector motion, variable acquisition times, and heterogeneous backgrounds. This study addresses the central question of how effectively a Physics-Informed Neural Network (PINN) can estimate MDD for mobile gamma spectrometry, while maintaining both accuracy and computational efficiency under dynamically changing environmental conditions. A multi-phase approach was employed, combining field data collection, computational modeling, and operational tool …

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Complex-Valued Structured Parameterized Learnable Filter Banks For Time-Frequency Domain Based Classification, Sabyasachi Biswas Dec 2025

Complex-Valued Structured Parameterized Learnable Filter Banks For Time-Frequency Domain Based Classification, Sabyasachi Biswas

Theses and Dissertations

Most conventional radar-based classification methods, including human activity recognition (HAR) and modulation recognition, rely on computationally intensive two-stage processes involving time-frequency (TF) transformations, such as the short-time Fourier transform (STFT), to generate micro-Doppler signature (��-Ds). These ��-Ds are then classified using deep neural network (DNN), a method introducing significant temporal latency and limiting real-time applicability. To overcome these limitations, this dissertation proposes a novel complex-valued Deep learning (DL) framework employing structured parameterized learnable filter (PLF) banks, enabling direct classification from raw radar data. The research first introduces high-resolution spectrogram network (HRSpecNet), a deep learning model designed to reconstruct high-resolution ��-Ds …

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A Case Study On Redesigning Classroom Activities And Assessments For Generation Z Students, Sushma Shrinivasan Dec 2025

A Case Study On Redesigning Classroom Activities And Assessments For Generation Z Students, Sushma Shrinivasan

Theses and Dissertations

This dissertation investigates the dynamic interplay between pedagogical strategies, learner diversity, and emerging educational technologies through three interconnected studies. Study 1 compares Traditional instruction, Problem-Based Learning (PBL), and Simulation-Based Learning (SBL), revealing that while PBL and SBL enhance student performance—particularly PBL—their impact on perceived learning varies. Notably, SBL reduced perceived learning despite strong outcomes, underscoring the affective and metacognitive complexities of active learning. Study 2 examines the role of demographic factors such as gender, ethnicity, employment, and first-generation status, finding no significant main effects but identifying a key two-way and three-way interactions, suggesting that instructional effectiveness is influenced by the …

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Polyminhash: Efficient Area-Based Minhashing Of Polygons For Approximate Nearest Neighbor Search, Alima Subedi, Sankalpa Pokharel, Satish Puri Dec 2025

Polyminhash: Efficient Area-Based Minhashing Of Polygons For Approximate Nearest Neighbor Search, Alima Subedi, Sankalpa Pokharel, Satish Puri

Computer Science Faculty Research & Creative Works

Similarity searches are a critical task in data mining. As datasets grow larger, exact nearest neighbor searches quickly become unfeasible, leading to the adoption of approximate nearest neighbor (ANN) searches. ANN has been studied for text data, images, and trajectories. However, there has been little effort to develop ANN systems for polygons in spatial database systems and geographic information systems. We present PolyMinHash, a system for approximate polygon similarity search that adapts MinHashing into a novel 2D polygon-hashing scheme to generate short, similarity-preserving signatures of input polygons. Minhash is generated by counting the number of randomly sampled points needed before …

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Development And Evaluation Of Wireless Monitoring Systems For Touchless Respiratory Monitor Validation, Dustin Marquardt Dec 2025

Development And Evaluation Of Wireless Monitoring Systems For Touchless Respiratory Monitor Validation, Dustin Marquardt

Graduate Theses & Non-Theses

The Touchless Respiratory Monitor (TRM) is a non-invasive system that uses contactless methods to measure respiratory rate and tidal volume. The main technologies employed are LiDAR for tidal volume measurement and a thermal camera for respiratory rate monitoring. These novel methods require validation against established techniques such as capnometry and respiratory inductance plethysmography. Commercial respiratory monitoring equipment is often expensive and dependent on proprietary software, creating barriers to widespread use. To address this, a custom, modular, and low-cost evaluation system was developed to streamline the validation of the TRM. The prototype system integrates a pulse oximeter, capnometer, spirometer, and respiratory …

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A Trigger For The Autonomous Decommissioning Of Smart Devices, Ravindra Mangar, Jared Chandler, Jingyu Qian, Carl A. Gunter, Timothy J. Pierson, David Kotz Dec 2025

A Trigger For The Autonomous Decommissioning Of Smart Devices, Ravindra Mangar, Jared Chandler, Jingyu Qian, Carl A. Gunter, Timothy J. Pierson, David Kotz

Dartmouth Scholarship

Smart devices are ubiquitous in modern environments, yet their decommissioning phase remains poorly studied and often overlooked in system design. We define secure decommissioning as the process by which a smart device securely disconnects from its environment and makes sensitive data inaccessible. If not decommissioned, devices may retain sensitive information – such as security credentials or user-behavior data that could be recovered by an adversary. Unfortunately, some users may forget to decommission a device when they dispose or sell it, and cannot decommission a device that is lost or stolen. This paper investigates a trigger mechanism for individual wireless smart …

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Relationship Between Working Memory And Reading Comprehension: A Secondary Meta-Analysis, Gennadi Mikhailik Dec 2025

Relationship Between Working Memory And Reading Comprehension: A Secondary Meta-Analysis, Gennadi Mikhailik

Doctoral Dissertations

Although working memory (WM) capacity has been highlighted in many theories of first-language (L1) and second-language (L2) reading comprehension, some scholars argue that its importance may be overstated and that existing findings are still inconclusive. Even with extensive research since 1995, the literature has lacked a thorough quantitative review of these results. This study shows that WM capacity is positively related to reading comprehension. The current secondary meta-analysis examined the relationship between WM capacity and reading comprehension in both L1 and L2, using two authoritative meta-analytic datasets: Daneman and Merikle’s (1996) for L1 and Jeon and Yamashita’s (2022) for L2. …

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Modern Technology Addiction: Developer Duty Of Care, Jonah Hampton Dec 2025

Modern Technology Addiction: Developer Duty Of Care, Jonah Hampton

Honors College Theses

Technology addiction includes any frequent use of technology which interferes in the user’s life. The subject continues growth as an epidemic and research field, yet prior literature does not often analyze the role of technology developers. This study performs a literature and legal synthesis to evaluate user and company responsibility, implications of responsibility, and promising solutions. Post 2020 literature was selected for coverage on context, addictive features, effects, solutions, or perspectives on law. Legal examples from different addiction industries were also selected for analysis to understand previous precedents. The study found a pattern of addictive traits, persuasive design, and recurring …

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Enhancing Depth Estimation By Leveraging Foldable Device Cameras, Avichal Rakesh, Patrick Shehane Dec 2025

Enhancing Depth Estimation By Leveraging Foldable Device Cameras, Avichal Rakesh, Patrick Shehane

Defensive Publications Series

This document describes techniques to enhance depth estimation accuracy using foldable device cameras. Modern smartphones use multiple cameras for depth estimation via stereo vision, which relies on the distance between cameras. Conventional, bar-shaped smartphones have a relatively small distance between cameras, leading to lower depth accuracy for distant objects. Foldable devices, when unfolded (open), allow for a much larger distance between the rear camera and the outward-facing selfie camera. This greater separation is leveraged for accurate depth estimation through triangulation, substantially reducing estimation error. The described techniques are applicable to devices with various foldable form factors.

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2023u_Approved_Sm07_Nc_Math-4373-Financial-Mathematics, Undergraduate Curriculum Council Dec 2025

2023u_Approved_Sm07_Nc_Math-4373-Financial-Mathematics, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.

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2023u_Approved_Sm08_Pm_Bs-Actuarial-Science-Curriculum-Update, Undergraduate Curriculum Council Dec 2025

2023u_Approved_Sm08_Pm_Bs-Actuarial-Science-Curriculum-Update, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.

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2023u_Approved_Sm02_Pm_Minor-Chemistry-Curr-Update, Undergraduate Curriculum Council Dec 2025

2023u_Approved_Sm02_Pm_Minor-Chemistry-Curr-Update, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.

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2022u_Sm23_Approved_Nc_Math-2013-Math-For-Computational-Intelligence, Undergraduate Curriculum Council Dec 2025

2022u_Sm23_Approved_Nc_Math-2013-Math-For-Computational-Intelligence, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.

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