Digital Commons Network^™

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 …

Spatial And Hydrologic Effects Of Climate Change And Urbanization On Freshwater Fish Communities In North Georgia Watersheds, Mayuko Mizutani

Master's Theses

Urbanization and climate change are altering streamflow and land cover across the southeastern United States, threatening freshwater biodiversity in rivers already burdened by impoundments and habitat loss. I investigated how changes in streamflow and land cover might affect fish community biodiversity in the Etowah River watershed of North Georgia. By combining a dataset of fish collections from 1999 through 2019 with contemporaneous land use and daily streamflow, I was able to model fish community responses to urbanization and climate-driven hydrologic changes and then forecast fish community structure under multiple CMIP6 global climate models and greenhouse gas emissions scenarios (SSP2-4.5 and …

Federated Learning For Early Medical Diagnosis: Enhanced Diabetic Retinopathy Detection In Smart Healthcare, Mohammad Nasajpour Esfahani

Master's Theses

This thesis investigates the role of federated learning as a privacy-preserving solution for modern healthcare challenges. In traditional machine learning, sensitive medical data must be centralized for model training, raising concerns about privacy, security, and regulatory compliance. Federated learning offers an alternative by allowing hospitals, clinics, and personal health devices to collaboratively train shared models without exchanging raw patient data. The study first explores how federated learning is being used across various healthcare domains, including cancer detection, medical imaging, and disease prediction— highlighting its potential to support secure collaboration across institutions. It addresses key benefits such as data privacy, scalability, …

A Phenomenological Study Of The Lived Experiences Of African American Female Leaders In Public K-12 Schools In Georgia, Tyisha Davis

Dissertations

The purpose of this phenomenological study was to explore how the intersectionality of race and gender shapes the leadership experiences of African American women in public K–12 schools. Despite comprising a significant portion of the educator workforce, African American women remain underrepresented in school leadership positions nationally, warranting deeper examinations of their professional pathways and daily realities. This qualitative study employed interpretative phenomenological analysis, guided by an intersectional framework, to understand the lived experiences of 10 African American female educational leaders across K–12 settings in Georgia. Principals, assistant principals, instructional specialists, and a superintendent engaged in semi-structured interviews analyzed through …

Mono Gold: An Informal Account Of The Geology, Production, And History Of Mono County Gold And Silver Mining Districts, D. D. Trent

Eastern Sierra History Journal

Mono Gold explores the mining production, technology, and history of the Eastern Sierra, with a special focus on Mono County. Author Dee Trent, a geologist, spent decades visiting, researching, and photographing each of the mining operations discussed in this book-length monograph.

Advancing Internationalization With Collaborative Online International Learning (Coil): A Systems Engineering Approach, Sharon Bommer, Olumuyiwa Asaolu, Paul Dagnall, Scott Segalewitz, Oluwatoyin Popoola, Esther Adeyemi

Journal of International Engineering Education

As globalization accelerates and engineering careers increasingly require international collaboration, engineering education programs must design courses and curricula to adequately prepare students for careers as engineers in modern industry. Collaborative Online International Learning (COIL) is a model of teaching and learning that supports the development of intercultural competence through a joint online learning environment. This paper presents a systems engineering approach of module development for an integrated COIL undergraduate course between a university in the United States and a university in Nigeria. The key objectives of this course are to increase students’ intercultural competence and to simulate global engineering management …

Development And Testing Of A Computer Vision Pose Estimation System For Planar Mobile Robots, Andrew Jones

Master's Theses

This thesis details the development and testing of a computer vision-based real-time pose estimation system for differential drive robots. A single camera with a fisheye lens is used to locate ArUco markers placed at fixed locations and attached to robots. Using the OpenCV library, the Perspective-n-Point (PnP) problem is solved to facilitate the transformation of 2-D robot positions in an image to world-frame coordinates. An analytical solution is presented to estimate robot poses based on a single PnP solution, rather than solving the PnP problem for each pose estimate. Pose information is relayed to individual robots using a multi-microcontroller architecture …

Hyperchaotic Noise Generation For Adversarial Encryption In Privacy-Preserving Image Classification, Neeraja Beesetti

Master's Theses

Artificial intelligence systems make useful predictions by taking in data and returning a classification, recommendation, or decision. Obtaining that prediction, however, requires sharing the data first. This creates a fundamental privacy challenge in machine learning: users must expose their data to receive a valuable prediction. Machine learning systems increasingly rely on cloud-based image classification for this reason, transmitting images from edge devices to remote servers rather than running large models locally. This creates a conflict between the accuracy a classifier requires and the privacy a data owner wants. Traditional encryption destroys the image structure on which a classifier depends, while …

Development Of Reduced Conflict U-Turn (Rcut) Guidance In Kentucky, Travis Thompson, Duane Thomas, Jill Asher, Jeff Jasper

Kentucky Transportation Center Research Report

A reduced conflict U-turn (RCUT) intersection eliminates left-turn and through movements from the minor road. Instead, drivers must turn right onto the main road and complete a U-turn at a downstream median opening. Recognized by the Federal Highway Administration (FHWA) as a proven safety countermeasure, RCUT intersections have reduced fatal and injury crashes 22 – 63%. Despite more than 35 RCUT intersections in operation across Kentucky, the Kentucky Transportation Cabinet (KYTC) lacked specific guidance for their planning, design, construction, and operation.

This project, conducted by the Kentucky Transportation Center (KTC) in cooperation with KYTC, addressed this gap through a comprehensive …

The Past, The Present, And The Future Of Preclinical Mouse Models For Alzheimer's Disease And Related Dementias., Adrian L Oblak, Michael Sasner, Gregory W. Carter, Gareth R Howell, Stacey J Sukoff Rizzo, Karina Leal, Paul R Territo, Bruce T Lamb

Faculty Research 2026

Over the past decade, the Model Organism Development and Evaluation for Late-Onset Alzheimer's Disease (MODEL-AD) consortium has transformed preclinical Alzheimer's disease (AD) research by addressing critical limitations in traditional mouse models that failed to translate to human disease. By leveraging human genetic discoveries, MODEL-AD has developed > 70 genetically informed mouse models, standardized phenotyping pipelines, and an open-access data infrastructure aligned with late-onset AD biology. These models incorporate human risk variants, environmental factors, and aging to better capture disease complexity, including emerging recognition of mixed pathologies such as vascular contributions, Lewy body disease, and TDP-43 proteinopathy. Despite substantial progress, key challenges …

A Collaborative Framework For Uncovering Molecular And Cellular Drivers Of Vcid: Foundations For Future Interventions In Dementia., M Luisa Iruela-Arispe, Jason D Hinman, Andrew C Yang, Fabrice Dabertrand, Jin-Moo Lee, Gareth R Howell, The Vcid Centers Without Walls Network

Faculty Research 2026

Vascular-related factors are now considered major contributors to most forms of dementia, including Alzheimer's disease. However, the degree to which vascular deficits contribute to risk, onset, and progression of cognitive impairment and dementia has only recently been appreciated. Our understanding of the mechanisms by which vascular deficits drive cognitive decline in dementia is still limited. Further, the testing of therapeutic approaches to prevent vascular deficits to treat dementia are few. These factors motivated the establishment of the Vascular Contributions to Cognitive Impairment and Dementia (VCID) Center Without Walls (CWOW) network, comprising institutes across the United States. We describe the current …

Inhibition Of Moesin And Cd44 In Stem Cell-Derived Neurons Affects The Pathological Genetic Signature Associated With Alzheimer's Disease., Eiden H Brewer, Charles A Williams, Gregory Cary, Ranjita Betarbet, Inez K A Pranoto, Elizabeth L Zoeller, Haian Fu, Allan I Levey, Jesse C Wiley, Gregory W. Carter, Jessica E Young, Treat-Ad Consortium

Faculty Research 2026

INTRODUCTION: Post mortem proteomic analysis of Alzheimer's disease (AD) brain tissue has identified novel target genes and proteins for potential therapeutic development. Moesin (MSN) and CD44 were identified as candidate targets. Using human induced pluripotent stem cells (hiPSCs)-derived neurons, we assayed how reducing gene expression of MSN and CD44 affected amyloid beta secretion, tau phosphorylation, and transcriptional state.

METHODS: Knockdown of MSN and CD44 in hiPSC-derived neurons was performed using short hairpin RNA (shRNA). Amyloid precursor protein processing and intracellular tau phosphorylation was measured using chemiluminescent ELISA assays. Global gene expression was analyzed by bulk RNA sequencing (RNA-seq).

RESULTS: Knockdown …

An Adaptive Wide Current-Load Range Capacitor-Less Ldo With Ultra-Low Power, Will Wright

Theses

Power management circuits are the foundation of any electrical system. They are designed to provide the current necessary for systems to function while keeping the supply voltage constant regardless of operating conditions or external disturbances such as changes in temperature. In modern Systems on Chips (SOC) targeted towards bio-sensing and Internet of Things (IoT) severe constraints appear on the systems level in terms of area and available power. External passive components are very expensive due to the premium of area and the circuits need to use as little power as possible to extend battery life. Traditional Low DropOut regulators (LDOs) …

The Interactions That Shape Us: An Investigation Of The Supernova Engine’S Effect On Bbh Mergers, And Of Stellar Encounters In The Disks Of Active Galactic Nuclei, Zoe A. Rosenberg

Theses

Mergers and other close interactions between astrophysical objects such as black holes and stars are powerful and energetic occurrences, capable of creating heavy elements, forming intriguing remnants, and shaping the populations of stars and compact objects around them. In this thesis, we describe two studies which examine two types of close gravitational events: isolated binary black hole mergers and dynamic stellar interactions in a dense environment. For our first study, we investigate how modifying the speed of convection in the engine behind core-collapse supernova explosions affects the population of merging binary black holes. To get an accurate picture of this …

A Systematized Review Of Parent Experiences With Special Education Placement In Rural Communities, Madeline Bishop

Educational Specialist, 2020-current

Parents of children enrolled in special education programs often face unique challenges, particularly in rural settings where access to resources and communication with school personnel can be limited. This systematized review explores how rural school systems can best support parents during the special education process. A systematized review of articles published between 2005 and 2025 was conducted. A thematic analysis of 20 articles revealed 3 themes following the review: benefits and barriers to rural special education, professional relationships, and parents’ strain and appreciation. Overall findings highlight the importance of the experiences between parents and school personnel regarding special education. Limited …

Cellular Senescence Links Muscle Atrophy And Posttraumatic Osteoarthritis After Acl Injury, Alexander R. Keeble, Allison Owen, Sara Gonzalez-Velez, Nicholas T. Thomas, Camille R. Brightwell, Peyton J. Balawender, Madeline G. O'Daniel, Helena C. Weiss, Haley Noehren, Heather Thompson, Karen Sofia Zuluaga-Osorio, Zane T. Bates, Lauren Gottlieb, Douglas E. Long, Douglas Harrison, Philip Kern, Caitlin E. Conley, Michael A. Samaan, Stephen Duncan, Austin Stone, Darren Johnson, Yuan Wen, Brian Noehren, Cory Dungan, Christopher Fry

Biology Faculty Publications

Traumatic knee injury leads to posttraumatic osteoarthritis (PTOA) and significant skeletal muscle weakness, resulting in chronic disability. The current standard of care frequently fails to prevent musculoskeletal dysfunction, underscoring the need to identify therapeutic mechanisms of PTOA. Using an established preclinical anterior cruciate ligament (ACL) transection model of PTOA and leveraging an innovative SPiDER-senescence-associated β-galactosidase stain to discern senescent cells, we investigated cellular senescence at single-cell resolution and identified anti-inflammatory macrophages as a predominant contributor to the senescent cell burden in both muscle and knee joint after injury. Clearance of senescent cells using the senolytic dasatinib and quercetin (D + …

Chameleon Carriers In Trucking: Detection, Enforcement, And Financial And Safety Impacts, Brian Howell, Drew Law, Andrew Martin

Kentucky Transportation Center Research Report

Chameleon carriers are motor carriers that evade regulatory enforcement by dissolving and reregistering under new corporate identities. This study, commissioned by the Kentucky Transportation Cabinet (KYTC), examined how states characterize, detect, and respond to chameleon carrier activity and assessed its financial and safety impacts in Kentucky from 2020 through 2025. The research team conducted a literature review of existing agency practices and relevant stakeholder perspectives, reviewed administrative codes and statutes across 13 pilot states, and administered two structured surveys to state motor carrier credentialing officials examining carrier characterization and enforcement practices. An analysis of KYTC's carrier data flagged by CVIEW …

Assessing And Correcting Bias In Gridded Reference Evapotranspiration Over Agricultural Lands Across The Contiguous United States, John M. Volk, Christian Dunkerly, Justin L. Huntington, Blake A. Minor, Yeonuk Kim, Charles G. Morton, Peter Revelle, Ayse Kilic, Forrest Melton, Richard G. Allen, Christopher Pearson, Adam J. Purdy, Todd G. Caldwell

AES Faculty Publications and Presentations

Gridded reference evapotranspiration (ET_o) data are widely used for agricultural water management and remote sensing evapotranspiration (RSET) models, but biases can arise where coarse meteorological inputs fail to capture agricultural microclimates. We investigated biases in the gridMET ET_o product across irrigated agricultural areas of the contiguous United States using ET_o calculated from 793 agricultural weather stations, then used those stations to develop monthly correction surfaces. Results show that gridMET systematically overestimates ET_o by 10–20% at most cropland sites, while pockets of underestimation appear in some arid western regions, primarily due to wind speed bias. Wind …

Alaska Plugged And Abandoned Wells And Sectoral Drone Integration: Lessons From A Limited Survey, Michael S. Jones

ISER Reports

Remediation of improperly plugged and abandoned oil and gas wells has drawn substantial federal funding, but identifying which historical wells retain a living responsible party is a prerequisite to remediation.  Using Alaska Oil and Gas Conservation Commission records, we resolved the 178 distinct operators of record on thousands of plugged and abandoned wells and spatially and temporally mapped Alaska's plugged and abandoned well population.

Of Writing, Community And Transformation: Lessons Learned From A Faculty Developer, María Lucía Guerrero Farías

GHEA21 Publications

No abstract provided.

Aegic Blogposts - Grain Supply Chains, Ross Kingwell, Peter Elliott

Grain and other field crops published reports

The Australian Export Grains Innovation Centre (AEGIC) was an independent, not-for-profit organisation established in 2012 by the Western Australian Government and the Grains Research and Development Corporation (GRDC). Its core mission was to increase the value and international competitiveness of Australia’s multibillion-dollar export grains industry. AEGIC ceased operation at the end of 2025.

Early in its history between 20 to 30 staff from the former Western Australian Department of Agriculture were seconded to AEGIC. Following the formation of DPIRD, AEGIC continued to receive substantial annual funding support from DPIRD.

This publication is a legacy document containing collated AEGIC blog posts …