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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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Use Of Mid-Infrared Spectroscopy For Estimating Soil Chemical, Physical, And Hydrological Properties In Mississippi And Texas, Kanthake Yasas Bandara Gamagedara Dec 2025

Use Of Mid-Infrared Spectroscopy For Estimating Soil Chemical, Physical, And Hydrological Properties In Mississippi And Texas, Kanthake Yasas Bandara Gamagedara

Theses and Dissertations

Accurate and efficient estimation of soil properties is essential for advancing sustainable agriculture, water management, and soil survey applications. Traditional laboratory methods and pedotransfer functions (PTFs) are widely used but are often constrained by high costs, time requirements, and limited scalability. As an alternative, mid-infrared (MIR) and visible–near-infrared (vis–NIR) spectroscopy provide cost-effective, rapid, and non-destructive approaches for soil analysis. However, variability among spectrometer types, geographic regions, and soil scanning conditions poses challenges to model transferability and generalizability. This dissertation evaluated strategies to overcome these challenges and enhance the prediction of soil chemical, physical, and hydrological properties in Mississippi and Texas. …

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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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Electrospun Nanofiber Creation With Varying Polymer-Solvent Combinations For Air Filtration, Lancaster Jace Hill Dec 2025

Electrospun Nanofiber Creation With Varying Polymer-Solvent Combinations For Air Filtration, Lancaster Jace Hill

Theses and Dissertations

This study aims to analyze various polymer-solvent combinations for electrospun creation of nanofiber media and to determine the best-suited solution for lab-grade electrospinning. Suitable solutions allow for controlled morphology of fiber diameters and for efficiency of media creation. The principal variables are solvent, concentration, and voltage. Humidity and temperature play a secondary variable role. The solution must withstand an electric field of ≤30 kV and be insoluble in water to maintain desired morphology and structure. Manipulation of the solutions and variables allow for fiber diameter optimization and beading minimization. High temperature filter applications require efficiency in intense heat and preservation …

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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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Improving Artificial Intelligence Literacy Among Middle School Students Using Tangible Objects, Sayantani Dutta Dec 2025

Improving Artificial Intelligence Literacy Among Middle School Students Using Tangible Objects, Sayantani Dutta

Theses and Dissertations

Given the rapid advancement of Computer Science (CS) and Artificial Intelligence (AI), introducing these disciplines early and effectively in education is essential. Many middle school students, however, struggle to understand these subjects when taught with traditional, abstract, and screen-based methods, which often fail to engage students or build deep conceptual understanding. This study argues that tangible, hands-on learning tools and interactive activities make AI and CS concepts more accessible, concrete, and engaging for students. The findings show that, compared to traditional lectures, hands-on activities lead to substantially improved comprehension, retention, and enjoyment. While the sample size poses limitations, the evidence …

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Toward A Unified Network Flow Framework: From Conservation Principles To Fluid Dynamics Models, Zonghan Zhang Dec 2025

Toward A Unified Network Flow Framework: From Conservation Principles To Fluid Dynamics Models, Zonghan Zhang

Theses and Dissertations

Network flows govern a wide range of critical systems, from tangible infrastructures like transportation and power grids to replicable processes such as information spread and epidemics. While tangible flows obey conservation laws and physical constraints, replicable flows, like rumors or viruses, can grow, decay, or vanish unpredictably. Despite their increasing interaction in real-world settings, these flow types are typically modeled in isolation, using disconnected mathematical frameworks. This dissertation presents a unified modeling approach that bridges the gap between conserved and replicable flows by embedding principles from fluid dynamics into graph-based propagation models. I introduce physically informed extensions to classical models, …

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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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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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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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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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2023u_Approved_Sm01_Reconfiguration_Bs-Biochemistry, Undergraduate Curriculum Council Dec 2025

2023u_Approved_Sm01_Reconfiguration_Bs-Biochemistry, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.

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2022u_Sm15_Approved_Cd_Bio-3511_Wildflowers-Of-Arkansas-Laboratory, Undergraduate Curriculum Council Dec 2025

2022u_Sm15_Approved_Cd_Bio-3511_Wildflowers-Of-Arkansas-Laboratory, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.

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2022u_Sm14_Approved_Cd_Bio-3501-Wildflowers-Of-Arkansas, Undergraduate Curriculum Council Dec 2025

2022u_Sm14_Approved_Cd_Bio-3501-Wildflowers-Of-Arkansas, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.

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2023u_Approved_Lac50_Nc_Fash-3233-Fashion-Market-Analysis, Undergraduate Curriculum Council Dec 2025

2023u_Approved_Lac50_Nc_Fash-3233-Fashion-Market-Analysis, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.

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2023u_Approved_Ecs17_Pm_Bs-Mechanical-Systems-Engineering, Undergraduate Curriculum Council Dec 2025

2023u_Approved_Ecs17_Pm_Bs-Mechanical-Systems-Engineering, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.

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2023u_Approved_Ecs15_Pm_Bs-Electrical-Systems-Engineering, Undergraduate Curriculum Council Dec 2025

2023u_Approved_Ecs15_Pm_Bs-Electrical-Systems-Engineering, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.

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2023u_Approved_Ecs12_Cm_Me-3523-Introduction-To-Robotics, Undergraduate Curriculum Council Dec 2025

2023u_Approved_Ecs12_Cm_Me-3523-Introduction-To-Robotics, Undergraduate Curriculum Council

All Approved Curriculum

No abstract provided.

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