Digital Commons Network^™

Dbssnet: Dual-Branch Spectral-Spatial Network With Data-Driven And Knowledge-Guided Band Selection For Uav Hyperspectral Wheat Rust Detection, Subin Kim

All Graduate Theses and Dissertations, Fall 2023 to Present

Wheat rust is a serious plant disease that can reduce crop yield and quality. In practice, the disease is often noticed only after visible symptoms appear, when some damage may already be difficult to reverse. This thesis studies whether drone-based imaging can help detect wheat rust earlier and more reliably in field environments. 

Unlike an ordinary color photograph, a hyperspectral image records reflected light at many narrow wavelengths. These measurements can reveal useful information about plant condition, but they are also high dimensional, noisy, and difficult to analyze when only a limited number of labeled field samples are available. To …

Viability Assessment Of Bovine Embryos: A Public Dataset And Deep Learning Baselines, Erfan Khayyati

All Graduate Theses and Dissertations, Fall 2023 to Present

Improving the success rates of cattle breeding is essential for sustainable agriculture, global food security, and high-quality livestock production. Currently, determining whether a lab-grown bovine embryo is healthy enough for a successful pregnancy requires highly trained experts to manually evaluate days of continuous time-lapse video footage. This process is not only incredibly time-consuming but also highly subjective; human reviewers often suffer from visual fatigue when tracking subtle, microscopic cellular changes over a seven-day period, leading to significant disagreement among even top experts on an embryo’s true potential. Furthermore, assessing bovine embryos is notoriously difficult due to their dark, lipid-dense cellular …

Secure Agricultural Futures: Re-Defining And -Imagining Agricultural Water Landscapes In The Us West, Britta L. Schumacher

All Graduate Theses and Dissertations, Fall 2023 to Present

Aridity is swiftly becoming the US West’s new normal. As agricultural communities adjust to persistent growing-season scarcity, they find their livelihoods under increasing threat. This points to the urgency of finding paths toward more secure water futures. A piece of this future puzzle includes water (re-)distribution – taking excess from one place and delivering it to another in need. To begin thinking about (re-)distribution, this dissertation engages with three mixed-methods and multiscale studies. The first study pairs county-level data across the 11 westernmost US states with survey data collected from individual producers in Utah to assess past and current trends …

A Multi-Label Computer Vision-Based Approach For Condition Assessment Of Traffic Signs: Database Compilation, Model Training, And Evaluation, Shailaja Ratna Pandey

All Graduate Theses and Dissertations, Fall 2023 to Present

Traffic signs help drivers and pedestrians to understand roadway rules, warnings, and directions, which determine how road users should behave. When signs fade or delaminate, they become harder to read and interpret, which creates increased safety hazards. Transportation agencies usually deploy engineers to the field to inspect signs because they need to evaluate and document the sign’s condition based on established standards and engineering judgment. This process requires substantial time and cost and becomes challenging to apply across large highway networks.

This study evaluated two computer vision (CV) models for automated traffic sign condition assessment using highway images collected across …

From Evidence To Impact: Supporting Sensemaking And Instructional Revision In Stem Classrooms, Bonni Jones

All Graduate Theses and Dissertations, Fall 2023 to Present

Science and math literacy is crucial for informed citizenship and economic competitiveness, yet many students leave school without developing the critical thinking skills needed to understand and solve complex issues or pursue STEM careers. This disconnect often stems from traditional teaching methods that emphasize memorization and following steps over authentic reasoning and problem solving. This dissertation addresses this challenge by identifying how teachers in research studies have taught STEM in ways that develop students' ability to think, reason, and problem-solve like real scientists.

By analyzing research on instruction that incorporates modeling, inquiry, and sensemaking, and working directly with teachers, this …

Causal Discovery In Photospheric Magnetic Field Time Series For Interpretable Solar Flare Prediction, Nathan W. Nelson

All Graduate Theses and Dissertations, Fall 2023 to Present

Solar flares are capable of damaging many valuable resources, including satellites, power grids, and even human lives. Being able to predict solar flares can allow for proactive measures to be taken that can prevent that damage. Many new deep learning methods for predicting solar flares have shown promise in this task, but the decisions they make are harder to explain to humans. This makes understanding why these models make mistakes difficult, which in turn makes fixing and maintaining them more challenging. We test a recent deep learning method that helps discover relationships between different measurements of the Sun as they …

Affective And Cognitive Factors Contributing To Male-Female Differences In Mathematics, Sarah N. Herod

All Graduate Theses and Dissertations, Fall 2023 to Present

Math differences between men and women have been studied for several decades, with original theories suggesting a biological reason for the differences and more new ones suggesting multiple factors, such as self-efficacy, anxiety, and spatial ability, may be responsible for these apparent differences. Additionally, most research into math differences between the sexes involves the use of a composite score, rather than examining the different sub-domains of math separately. The purpose of the current study was to examine the relationship between sex and math performance within the context of an individual's belief and attitudes towards math and spatial information. Seventy-one participants …

Spatial Prediction Under Uncertainty: Methodological And Computational Advances In Bayesian Maximum Entropy, Kinspride K. Duah

All Graduate Theses and Dissertations, Fall 2023 to Present

Environmental decisions such as infrastructure design, water management, and snow load estimation depend on spatial data that are often incomplete or uncertain. In many cases, measurements are not exact values but ranges, reflecting limitations in data collection methods. Traditional mapping techniques typically simplify these uncertain measurements, which can lead to less accurate predictions. This dissertation introduces improved statistical tools for making spatial predictions when data are uncertain or partially known. By utilizing a framework called Bayesian Maximum Entropy (BME), this research demonstrates how exact measurements and range-based data can be combined in a mathematically consistent way. The work demonstrates that …

High-Throughput Characterization Of Creep In Additively Manufactured 316l Stainless Steel, Raushan Kumar Singh

All Graduate Theses and Dissertations, Fall 2023 to Present

Advanced materials are widely used in industries such as nuclear energy, aerospace, and automotive engineering, where components are exposed to extreme temperatures and stresses over long periods of time. As new materials continue to emerge, researchers need efficient ways to evaluate their mechanical performance so they can be used safely and effectively. Among several mechanical challenges, creep is a major concern in these conditions. Creep is a type of mechanical failure in which materials gradually deform when exposed to high temperatures and constant load. Conventional methods for evaluating creep typically involve testing a single specimen at a time, which can …

Faculty Perspectives On Career And Technical Education Programming For Prison And Other At-Risk Populations: Implications Of A Human Centered Design Focus, Taija R. Jackson

All Graduate Theses and Dissertations, Fall 2023 to Present

The purpose of this quantitative, cross-sectional, quasi-experimental study was to examine the perceptions of career and technical education (CTE) faculty regarding their familiarity with human-centered design (HCD), perceptions of the value and worth as a framework for program and curriculum design and willingness to teach in correctional education settings. The survey was administered to postsecondary CTE employed at public community and technical colleges in Utah and Colorado (N = 37). Participants were randomly assigned to either a treatment condition, in which they viewed a six-minute-long video vignette illustrating HCD in practice, or a control condition without exposure to the …

Thermal Rating And Prediction Of Roadway-Embedded Power Electronics For Dynamic Wireless Power Transfer, Forrest D. Nichols

All Graduate Theses and Dissertations, Fall 2023 to Present

Electric vehicles can be charged while driving through wireless charging coils buried in the road surface. To avoid running expensive cables from roadside equipment to each charging pad, the electronics that control the power transfer can also be buried in the road. However, burying these circuit boards removes the ability to cool them with fans or flowing air, so the heat generated during operation must escape naturally into the surrounding road material. If the boards get too hot, components fail—a problem that has already been observed in prototype systems.

Predicting how hot each component on a circuit board will get …

Cadmium Biosorption By Fusarium Venenatum And Its Application In Functional Permeable Materials For Metal Removal, Bradley Lawson

All Graduate Theses and Dissertations, Fall 2023 to Present

Heavy metals are pollutants of increasing concern as continued industrialization and urbanization have escalated the discharge of these toxins into aquatic environments. Cadmium (Cd) is a metal of particular concern due to its acute toxicity and high mobility in aquatic ecosystems. Given these characteristics Cd poses significant health risks to both humans and aquatic ecosystems. The continued development of sustainable, low-cost remediation technology is imperative to manage metal pollution.

This research explores the use of fungal-based remediation systems to remove Cd from contaminated water. Living biomass of the filamentous fungus Fusarium venenatum was evaluated as a biosorbent material for Cd …

Agronomic And Economic Evaluation Of Alternative Forage Crops Under Irrigation Technologies And Deficit Irrigation, Shikha Sharma

All Graduate Theses and Dissertations, Fall 2023 to Present

Water is becoming more limited in the western United States, including Utah, so farmers need forage crops that can produce well while using less irrigation water. This study examined how different forage crops respond to reduced irrigation and different irrigation application methods, and whether some crops can provide better economic returns under limited water conditions.

Field studies were conducted at three Utah locations, Cedar City, Logan, and Vernal, from 2020 to 2024. The alternative forage crops included teff, sorghum-sudangrass (sudex), and forage rye. For economic comparison, conventional forage crops included alfalfa, corn, and three-way small grains. Four to five irrigation …

2026 Summer Commencement Program, The University Of West Alabama

Commencement Programs

No abstract provided.

Our Honors Impact: Evidence Of Honors Student Experience And Outcomes, 01 - The Initial Evidence Review, Brian Hoey, Honors College

Publications of the Honors College at Marshall University

Our Honors Impact, 01: Evidence of Honors Student Experience and Outcomes presents an initial review of student-centered evidence collected by the Honors College at Marshall University through its developing Honors Impact Evidence Bank. Drawing on student reflections, supported-project deliverables, program assessments, profiles, and other documented experiences, the report examines how honors education is experienced in practice and what becomes possible through integrative and experiential learning, mentorship, peer connection, financial support, global engagement, and opportunities for independent inquiry. Student narratives illustrate recurring patterns of intellectual growth, confidence, belonging, professional development, and connection to Appalachia and West Virginia. As the first edition …

The Effects Of Education And Training On Clinical Staff’S Knowledge, Perception, And Clinical Practice Of The Medication Reconciliation Process, Stephanie A. Williams

Doctor of Nursing Practice Projects

Medication-related harm affects approximately one in 30 patients in healthcare settings. Accurate medication reconciliation (MedRec) is essential for identifying medication discrepancies, preventing medication errors, and reducing adverse drug events. Clinical staff play a critical role in ensuring the accuracy of medication lists in primary care settings.

This evidence-based quality improvement project evaluated the effect of a structured MedRec training intervention on MedRec knowledge, perceptions, and practices among clinical staff in a primary care clinic in Southeast Texas. The project used a single-group, quantitative, quasi-experimental design. A convenience sample of 32 clinical staff members completed knowledge and perception assessments before and …

A Comparison Of Survival, Growth, And Stress Resilience In Three Different Lineages Of The Pacific Oyster (Crassostrea Gigas) Farmed On The California Central Coast, Victoria F. Hanshaw

Master's Theses

Aquaculture of Pacific oysters on the US West Coast is routinely impacted by seasonal unexplained mortality events. To better understand these large-scale mortality events in oyster aquaculture, shellfish growers and scientists in California have partnered together to conduct comparative, multi-estuary farm trials of discrete Pacific oyster (Crassostrea gigas) lineages. In this thesis we investigate how the more recently imported Midori lineage performs compared to the historically used Miyagi lineage, as well as a Hybrid (Midori x Miyagi) lineage. As part of a 7-month long field study from April-November of 2024 in Morro Bay and Tomales Bay, California, we evaluated …

Electromagnetic Enhancement Of A Potassium-Seeded Rotating Detonation Engine, Anthony Joseph Presto Jr.

Master's Theses

Rotating detonation engines offer a route to pressure-gain combustion by sustaining one or more detonation waves in an annular chamber supplied by continuous propellant injection. This thesis evaluates whether potassium seeding can make the high-temperature product flow of a hydrogen–air rotating detonation engine conductive enough to serve as the working fluid for magnetohydrodynamic acceleration. To the author’s best knowledge, the complete configuration modeled here has not been reported previously in open literature. This configuration consists of a hydrogen–air RDE with KOH-based potassium seeding, local conductivity estimates, and imposed Lorentz-force acceleration. The thesis therefore develops an initial computational model for this …

Prompt-Driven Tabletop Robotic Manipulation With A Structured Llm Interface And Visual Verification, Tomas Franco

Master's Theses

Creating a tabletop robotic manipulation system that connects language goals to robot actions is a challenging problem. Large language models can interpret mission objectives and reason through actions, but when placed directly in control of hardware they can produce hallucinated commands that result in unsafe behavior without the proper safeguards.

This thesis presents a constrained LLM-guided manipulation system built around the Quanser Qarm, a four degree of freedom manipulator with a mounted Realsense RGB-D camera and a gripper with readable current. Every decision made by the LLM planner is routed through a gated command interface that restricts the model to …

Sentinel: Evaluating Occlusion-Centered Next-Best-View Selection Using Rgb-Derived Pseudo-Geometry, Paul Nassar

Master's Theses

Three-dimensional cameras provide direct geometric measurements, but their cost, weight, power requirements, and calibration constraints can limit their use in various lightweight or large-scale sensing systems. A potential alternative is to use conventional two-dimensional RGB cameras together with geometric reconstruction models that infer a partial three-dimensional representation from images. This thesis evaluates that possibility for next-best-view (NBV) selection through Sentinel, an occlusion-centered system for static, object-centric scenes with known camera poses and intrinsics. Sentinel converts source RGB observations into pseudo-geometry using monocular depth or point-map predictions, combines those predictions with camera-ray evidence, identifies occluded unknown regions, and selects a candidate …

Hardware-In-The-Loop Evaluation Of Sensor-Source Selection For Prosthetic Locomotion Intent Recognition, Victoria Asencio-Clemens

Master's Theses

Active lower-limb prostheses use intent-recognition systems to identify a user’s locomotion mode and select an appropriate control strategy, but sensor configurations that perform well offline may be unsuitable for resource-constrained embedded hardware. Existing sensor-selection methods generally prioritize classification accuracy without directly accounting for processing latency, memory usage, or other hardware-dependent requirements. To address this limitation, this thesis develops a hardware-in-the-loop source-selection framework for embedded classification of level walking, ramp ascent, ramp descent, stair ascent, and stair descent using multimodal biomechanical data from transtibial amputee participants. Subject-specific linear support vector machine classifiers were evaluated using trial-held-out validation, and candidate configurations from …

Predicting Student Belonging In Computing Education: A Multimodal Machine Learning Approach Using Eeg And Survey Data, Hannah Moshtaghi

Master's Theses

Measuring students’ sense of belonging, characterized by feelings of acceptance, inclusion, and encouragement from teachers, remains a significant challenge in computing education. Prior research has associated this multidimensional construct with positive academic outcomes and has identified instructors’ growth- and fixed-mindset messaging as a potential influence. However, belonging is a complex and deeply personal experience that is difficult to capture through direct observation alone. Current measurement methods rely on self-report surveys, which may not capture every aspect of an experience that can also involve emotional and cognitive responses.

This thesis investigates whether combining EEG data recorded during a belonging questionnaire with …

Beyond Beliefs: Factors That Shape Agricultural Plastic End-Of-Life Management Among California Strawberry Growers, Kyle Y. Cahitas

Master's Theses

The practice of using plastics in agriculture is so prevalent it has earned its own name: plasticulture. One key plasticulture tool is polyethylene (PE) mulch film, a thin plastic sheet laid over the field for a single growing season and pulled out before the next. Because PE film is hard to recycle, most of it ends up in a landfill, yet how growers decide what happens to used plastic mulch has rarely been studied. To identify what shapes that decision, this study draws on a survey of California strawberry growers (n = 126). Twenty variables, spanning grower attitudes, farm characteristics, …

A Maintainable Extensible And Performant Compiler Toolchain For The Trustguard Architecture, Ethan N. Emery

Master's Theses

TrustGuard is a hardware architecture implementing a CAVO (Containment Architecture with Verified Output) model, which provides security guarantees by bootstrapping trust of a system to a hardware component known as the Sentry. Rather than verifying an entire system, TrustGuard re-executes trusted computation on the Sentry and validates the host system's execution before allowing values to pass to the outside world, thereby containing the effects of erroneous computation. Implementing this architecture in practice without hardware modifications to a host CPU requires a compiler toolchain capable of automatically generating instrumented binaries for both the untrusted host and the trusted Sentry from C …

Expected Structural Damage, Residual Capacity, And Repairability Of Light-Frame Timber Houses, Mikayla Caruthers

Master's Theses

Earthquake damage in light-frame timber structures is commonly evaluated using peak inter-story drift. However, drift alone does not fully represent the remaining structural capacity of a building or its ability to be repaired following a seismic event. Although expected structural damage, residual capacity, and repairability have each been studied extensively, these concepts are often considered independently, leaving limited guidance that links them within a unified post-earthquake assessment methodology.

This thesis establishes an integrated framework that relates expected structural damage, residual capacity, and repairability for light-frame timber residential structures. Existing literature was synthesized to develop drift-based damage-state classifications, identify methods for …

Synthesis And Characterization Of Carbon Quantum Dots And Gold Nanoparticles For Norovirus Biosensing Applications In Water Systems, Breanne Evans

Master's Theses

Rapid, reliable detection of viral pathogens remains a significant challenge across water-treatment and environmental monitoring systems, including drinking-water, wastewater, water reuse, and environmental surveillance applications. Waterborne viral contamination can pose substantial public-health risks, making early detection essential for protecting water quality and responding quickly to treatment failures or contamination events. Direct potable reuse (DPR) is one particularly demanding example because it requires continuous verification of treatment performance and the broader need for rapid virus monitoring extends across many water-treatment and environmental surveillance applications. Norovirus is a priority target because of its widespread occurrence in wastewater, environmental persistence, and exceptionally low …

A Technoeconomic And Lifecycle Analysis Of Catalytic Non-Thermal Plasma Steam Methane Reforming For Renewable Hydrogen Production, Gustav M. King

Master's Theses

When produced with sufficiently low life-cycle emissions, hydrogen may support low-carbon, dispatchable electricity generation to realize statewide renewable energy regulatory objectives. This thesis develops a screening-level electrothermochemical process model of catalytic non-thermal plasma steam methane reforming (CNTP-SMR) and integrates it with techno-economic and life-cycle assessments. Biogas and natural gas fed CNTP-SMR scenarios are compared with conventional steam methane reforming to evaluate hydrogen production cost, global warming potential, and the effects of key operating parameters. Under the baseline assumptions, CNTP-SMR generated hydrogen at a higher levelized cost (baseline of $3.86/kg H₂ and a range of $3.68 to $4.11) when compared …

The Third Zone Of Incomplete Rights: Spatial Compartmentalization, Expendability, And The Making Of Death Worlds In Adichie's Dream Count, Ebelenna F. Nwaobi

Research Papers

Contemporary socio-political discourses on global migration often risk misrepresenting migrant experiences by framing them mainly through the language of humanitarianism, inclusion, and identity. While these frameworks foreground protection and belonging, they may inadvertently obscure the institutional and political structures that regulate, differentiate, and expose migrants to uneven forms of precarity. In this paper, therefore, I examine Chimamanda Ngozi Adichie's Dream Count to explore the migrant condition as one shaped by migrants’ everyday encounters with space, law, labor, and political belonging. By so doing, I argue that the novel reveals migrant vulnerability not just as the consequence of singular acts of …

Asm And A Culture Of Sharing, Caring, And Fun In Education, David J. Westenberg

Biological Sciences Faculty Research & Creative Works

One doesn't always equate a professional scientific society with sharing, caring, and fun, but in this age of public distrust, public engagement with science and active student learning are ways to regain trust. ASM holds a leadership position in promoting and recognizing the value of education in the future of our profession and is there to support your educational journey. From K12 outreach and public engagement, to professional development, to presenting and publishing scholarship of teaching and learning, ASM has been at the forefront of biology education. Under the leadership of visionary directors such as Amy Chang and now Irene …

Enabling Multi-Task Neural Network Inference On Heterogeneous Edge Devices, Redwanul Islam Arif

Master's Theses

Deep neural networks are increasingly required to run on the devices that generate the data. If such a device must perform more than one task, the standard practice is deploying one model per task, which makes memory grow linearly with task count, which is unacceptable when the entire budget is kilobytes. This thesis asks one question in three settings: how much capability can a network acquire without incurring deployment cost?

The first study takes an ImageNet-pretrained ResNet-18, sweeps the branch point across every residual stage and the classification-head depth across one, ten, and twenty layers, and deploys the resulting multi-head …