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Robust Evaluation Framework On Adversarial Purification, Yuan Du

Graduate Thesis and Dissertation post-2024

This dissertation proposes novel Energy-Based Model (EBM) learning strategies and adversarial robustness evaluation framework that addresses critical gaps in iterative purification defenses. First, we introduce strategies to learn EBMs by controlling MCMC sampling trajectory lengths for distinct applications: (i) short-run sampling for state-of-the-art unconditional image generation on CIFAR-10 and ImageNet; (ii) mid-run sampling for classifier-agnostic adversarial purification; and (iii) long-run sampling for principled density modeling. Using three novel MCMC initialization techniques within standard Maximum Likelihood objectives, we enable significant performance gains without architectural modifications. Second, we address evaluation deficiencies in existing iterative stochastic defenses by developing the \textit{Memory Efficient Full-gradient …

Evaluating The Accuracy Of Stature Estimation From Tibial Radiographs Using Known And Newly Developed Regression Formulas, Atlantis Kae Baron

Graduate Student Theses, Dissertations, & Professional Papers

This study assesses the accuracy of stature estimation from tibial radiographs using digital measurements as an alternative to traditional osteometric tools. Stature estimation is crucial in forensic anthropology for identifying individuals, especially cases involving skeletal remains. Traditional methods rely on physical measurements and established regression formulas, such as those by Trotter & Gleser (1958).

This research analyzed tibial radiographs from the Forensic Anthropology Skeletal Trauma (FAST) database with ImageJ software to measure tibial lengths digitally. The sample included 59 tibiae, with measurements compared against three regression formulas; Trotter & Gleser (1958), Simon et al. (2023), and a new regression formula …

College Athlete Workload Management To Improve Performance, Brody Reid

Graduate Student Theses, Dissertations, & Professional Papers

Load management is an often used and misunderstood term within the realm of sport science. It has been described as the reason behind numerous soft tissue injuries as well as being the reason star athletes sit on the bench for games. This review aims to synthesize the existing literature regarding the workload management paradox within sport. Seminal work in this topic has been gathered mostly by Tim Gabbett in the paper “The Injury Prevention Paradox” where a relationship between fitness gain and fatigue accrued is outlined. This theory was first proposed by Roger Bannister in 1975. This paper …

Graduate School : Thesis Manual

Academic Affairs – Policy Library

No abstract provided.

Linking Empirical Data And Numerical Simulation To Characterize Dynamic Fire Behavior Associated With Interacting Firelines, Marta Sergeevna Jerebets

Graduate Student Theses, Dissertations, & Professional Papers

Understanding fuel pattern-fire process relationships is key for predicting fire behavior and effects with follow-on benefits to proactive fire management and model validation. To characterize dynamic fire behavior, this thesis leverages empirical data and numerical simulation through two complementary studies.

In the first study, longwave thermal sensors aboard unmanned aerial systems (UAS) were used to capture fine-scale fire behavior in two experimental grass burns. A novel paired design was used to quantify the effects of fuel arrangement on fire behavior with 3.66 m diameter treatments cut to a height of 0.15 m. The treatments ephemerally reduced fire rate of spread …

Ai And Personal Finance: Evaluating Rules Of Thumb Generated By Chatgpt, Jing Jian Xiao, Kexin Meng

Human Development and Family Science Faculty Publications

Purpose – The purpose of this article is to evaluate the information quality generated by ChatGPT on rules of thumb in personal finance.

Design/methodology/approach – Prompts were developed to ask ChatGPT questions regarding rules of thumb in personal finance. After several iterations, we selected seven rules of thumb and asked ChatGPT to provide more in-depth information. The information was evaluated by checking its accuracy and validity based on relevant peer reviewed journal articles.

Findings – We found both advantages and limitations of using ChatGPT for information search. The advantages include its speed of information generation, width of topic generation, adaptivity …

Climate Variability Study For Arid Regions, Faisal Almutairi

Electronic Theses and Dissertations

Water is the primary source for all living species to thrive, and water scarcity has been a primary concern for biological species and plants in arid regions due to urban planning, population growth, poor water management, and overgrazing. The objective of this research was to study the climate variability in precipitation and temperature for an arid region. This research encompasses two distinct studies. The first study examined the impact of climate variability on precipitation in Phoenix. Precipitation data were acquired from NOAA from 1948 to 2023 and the study was broken down into three time scales: annually, seasonally, and monthly. …

Prospective Use Of Detection Dogs As A Screening Tool For Mycoplasma Ovipneumoniae In Bighorn Sheep (Ovis Canadensis), Michele C. Lovara

Electronic Theses and Dissertations

Mycoplasma ovipneumoniae is a bacterium that can spill over from domestic sheep (Ovis aries) to bighorn sheep (Ovis canadensis), with effects in bighorn sheep ranging from low to no lamb recruitment to whole-herd all-age die-offs from resulting pneumonia. Fast and reliable pathogen or disease detection is essential for managing outbreaks in bighorn sheep and emergences in affected populations. Detection dogs are increasingly being enlisted to close gaps and further complement various disease, pathogen and virus research and response efforts. This thesis explores the use of conservation detection dogs as a potential tool for M. ovipneumoniae surveillance in bighorn sheep through …

Design And Optimization Of The Injection Molding Process Of Glass Fiber Reinforced Polymeric Car Fender Using Computational Simulation, Synthia Ferdouse

Electronic Theses and Dissertations

The increasing demand for lightweight and energy-efficient materials in the automotive industry has accelerated the adoption of fiber-reinforced polymer composites. This research presents the design and optimization of the injection molding process for glass fiber-reinforced polymer (GFRP) car fenders using computational simulation. The effects of various gate types and locations on key process parameters, including fiber orientation, volumetric shrinkage, shear rate, and fill time, were investigated using Finite Element Analysis (FEA), Autodesk Moldflow Insight 2024, and MATLAB-based Multi-Criteria Decision-Making (MCMD) techniques. Simulations were conducted across multiple configurations involving three, four, and five gates, with several variations in location. Among all, …

Biopolymer-Induced Soil Ductility Enhancement: Mitigating The Effects Of Desiccation Cracks, Rabindra Prasad Bohara

Electronic Theses and Dissertations

This study addresses the formidable challenges of expansive clayey soils, notorious for their swelling-shrinkage characteristics, which often lead to ground instability and structural damage. While effective in mitigating soil swell-shrink potential and enhancing strength, traditional calcium-based stabilizers can react with higher sulfate content to form ettringite, causing volumetric changes and infrastructure distress. To assess the impact of stabilizing sulfate-rich soils and determining the various engineering properties, samples of both control and stabilized soils were prepared using lime, biopolymer (guar gum), and lime with guar gum at concentrations of 2% and 4% lime only, 0.5%, 1% and 1.5% guar gum only, …

Evaluation Of Strip-Tillage And Banded Phosphorus And Potassium Fertilizer For Corn Production In Eastern South Dakota, Charles N. Tesch

Electronic Theses and Dissertations

In South Dakota, the adoption of no-till and other conservation tillage practices has grown in recent years. However, conventional tillage is still a common practice in the eastern third of the state, negatively affecting soil health and the environment. Strip-tillage has gained interest in this region as a way to transition to conservation tillage while retaining some benefits of conventional tillage. Strip-tillage also provides the ability to subsurface band nutrients, particularly phosphorus (P) and potassium (K) fertilizers within the tillage strip, potentially improving nutrient accessibility and recovery while reducing environmental risks. This study aimed to investigate (i) the effects of …

Modeling Fluid Flow In Complex Biological Systems: Implications For Dense Tumor Microenvironments, Metastasis, And Bone Cancer, Mohammad Mehedi Hasan Akash

Electronic Theses and Dissertations

The transport of biofluids in physiological systems plays a critical role in understanding and optimizing therapeutic interventions for diseases such as cancer and respiratory infections. This dissertation focuses on developing and validating a comprehensive computational framework for studying multiphase transport in complex biological environments. The research emphasizes the use of Computational Fluid Dynamics (CFD) to simulate and analyze plasma perfusion in solid tumors, particle deposition in respiratory airways, and fluid transport in cancer metastasis and bone cancer systems. By addressing the challenges of modeling biological transport phenomena, this work provides valuable insights into therapeutic planning and experimental validation. The study …

Shifting Waters: A 41-Year Time-Series Analysis Of Surface Water Change In The Prairie Pothole Region, Madison Dejarlais

Electronic Theses and Dissertations

The Prairie Pothole Region (PRR) is a landscape defined by a dynamic surface water system, with wetlands, lakes, and rivers playing critical roles in supporting biodiversity, regulating floods, and maintaining hydrological balance. This study conducts a time-series analysis of surface water change in the PPR from 1984 to 2024, using remote sensing tools including Google Earth Engine, ArcGIS Pro, and ENVI. 41 annual surface water presence rasters were compiled into a cumulative dataset, allowing for both year-to-year comparisons and broader trend analysis. Results indicate that the presence of surface water in the PPR has not followed a simple linear trend. …

Semantic Think-On-Graph (Semtog) : Enhancing Graphrag Through Semantic Community Detection, Sugam Mishra

Electronic Theses and Dissertations

Graph-based Retrieval-Augmented Generation (GraphRAG) enhances large language models (LLMs) by grounding their reasoning in structured knowledge graphs, making them more reliable for multi-hop reasoning and factual QA. A central mechanism in Think-on-Graph systems such as ToG[14] and FastToG[7] is community detection, which groups locally related nodes into compact subgraphs so that LLMs can reason over focused, information-rich neighborhoods instead of traversing the entire graph. However, these methods rely purely on structural connectivity, often scattering semantically related entities across different communities and weakening the evidence provided to the LLM. We propose Semantic Think-on-Graph (SemToG), a semantic-aware extension of FastToG[7] that integrates …

Distributed Energy Resources (Der) Capacity Estimation With Spatiotemporal Downscaling For Transmission And Distribution Coordination, Abhilasha Suvedi

Electronic Theses and Dissertations

The primary objective of this thesis is to accurately estimate the capacity of distributed energy resources (DERs) using the spatiotemporally downscaled local solar irradiance for their efficient integration into transmission-level grid operations. Accurate estimation of DER capacity is crucial for their enhanced integration into real-time electricity markets. Different methods of spatiotemporally downscaling the solar irradiance are presented in this thesis, followed by their integration into the 12 house distribution network – a low voltage residential distribution system. Grid support functions (GSFs) like Volt-Watt Control, Volt-VAR control, and Frequency-Watt Control are applied to effectively regulate the frequency and maintain the voltage …

Intestinal Oxygen Utilisation And Cellular Adaptation During Intestinal Ischaemia-Reperfusion Injury, Paraschos Archontakis-Barakakis, Theodoros Mavridis, David-Dimitris Chlorogiannis, Georgios Barakakis, Eleni Laou, Daniel I Sessler, George Gkiokas, Athanasios Chalkias

Faculty, Staff and Student Publications

The gastrointestinal tract can be deranged by ailments including sepsis, trauma and haemorrhage. Ischaemic injury provokes a common constellation of microscopic and macroscopic changes that, together with the paradoxical exacerbation of cellular dysfunction and death following restoration of blood flow, are collectively known as ischaemia-reperfusion injury (IRI). Although much of the gastrointestinal tract is normally hypoxemic, intestinal IRI results when there is inadequate oxygen availability due to poor supply (pathological hypoxia) or abnormal tissue oxygen use and metabolism (dysoxia). Intestinal oxygen uptake usually remains constant over a wide range of blood flows and pressures, with cellular function being substantively compromised …

Association Between Covid19 Vaccination Uptake And Socio-Demographic Characteristics Among Pregnant Women In Kenya, Sylvia Ayieko, Sarah E Messiah, Kimberly Baker, Christine Markham

Faculty, Staff and Student Publications

Background: Vaccination is considered more cost-effective in controlling the spread of COVID19 compared to other preventative measures. Pregnant women infected with COVID19 were likely to have severe COVID19 complications compared to uninfected women. This study examined the relationship between COVID19 vaccination uptake and socio-demographic characteristics among pregnant women in Kenya.

Methods: We conducted a secondary analysis using data from a pilot study examining COVID19 vaccination uptake among pregnant women in Kenya. We used descriptive analysis to report the proportions and chi 2 to assess if there are any significant differences between groups. Our primary outcome was COVID19 vaccination uptake. We …

Community-Level Factors Influencing The Duration Of Buprenorphine Treatment In Individuals With Opioid Use Disorder: A Cohort Study Using Us Longitudinal Claims Data, Paula A Jaimes-Buitron, Kehe Zhang, Yanmin Gong, Yuanxiong Guo, Cici Bauer, Carolina Vivas-Valencia

Faculty, Staff and Student Publications

Introduction: Buprenorphine is effective in reducing opioid-related morbidity and mortality; however, many patients discontinue treatment prematurely. While previous research has focused on individual-level predictors of retention, the influence of community context remains underexplored. This study aims to examine how community-level factors, such as social vulnerability, availability of buprenorphine-waivered providers and access to behavioural health services, affect the duration of buprenorphine treatment episodes for individuals with opioid use disorder (OUD).

Methods: We conducted a retrospective cohort study using longitudinal claims data from 2006 to 2022. Adults aged 18 and older who initiated buprenorphine treatment for OUD and maintained continuous enrolment were …

Applying The Matching Law To Major League Baseball (Mlb), Christopher Watkins, Vincent Berardi

Psychology Faculty Articles and Research

The application of the generalized matching equation (GME) has been detailed in a variety of sports, including football, basketball, and others. However, only a limited number of studies have focused on Major League Baseball (MLB), and they typically have examined ≤ 5 players and/or focused on a single behavior. This paper increases the generalizability of such work by using newly available, state-of-the-art data from thousands of players to explore the GME in several scenarios within three aspects of a baseball game - defense, pitching and batting. We found that the GME accurately summarized response allocation in most scenarios, with r …

Understanding The Factors That Influence University Environment: Gender Differences In Perceptions Of Female And Male Stem Graduate Students., Rachel Robinson

Graduate Student Theses, Dissertations, & Professional Papers

Despite increasing female representation in higher education, women remain underrepresented in STEM (science, technology, engineering, and mathematics) fields. This thesis investigates gendered perceptions of university environment among STEM graduate students, focusing on the role of faculty-student interaction as a form of social capital. The survey was developed and administered with Qualtrics Online Survey Software by members of the Social Science Research Group of the Pacific Northwest Circles of Success: Mentoring Opportunities in STEM. All graduate students in the participating universities pursuing master’s and doctoral degrees in a National Science Foundation STEM recognized program were eligible to complete the survey. Using …

Bridging The Gap Between Plot-Level And Landscape-Scale Analysis For Wildfire Risk Assessment, Vanessa Leigh Niemczyk

Graduate Student Theses, Dissertations, & Professional Papers

Remote sensing technology has advanced greatly over the past couple of decades proving its ability to aid in wildfire risk assessment and improve our understanding of forest structure and fuel inventory across the landscape. While some aerial and satellite sensors perform better than others, they all have a common weakness, their reduced ability to capture understory fuels with high detail. Terrestrial laser scanning is an emerging solution due to its understory perspective. This research leverages the beneficial aspects of both terrestrial laser scanning and various aerial- or satellite-based remote sensing platforms (aerial laser scanning, digital aerial photogrammetry, and Sentinel-2) to …

Reinventing The Concepts Of Group And Isomorphism In Abstract Algebra, Chrisitan José Lopez-Mercado

Graduate Student Theses, Dissertations, & Professional Papers

This study explores the reinvention of the concepts of group and isomorphism in abstract algebra through design-based research. It investigates how students can reinvent these concepts and how mathematical artifacts transform their mathematical reasoning during the reinvention process. The study identifies a reinvention ecology comprising three interrelated components: students' mathematical activity, social interaction, and the continual emergence of mathematical artifacts. Using the guided reinvention principle of realistic mathematics education, students engaged with contextual situations, such as a 12-hour analog clock and the symmetries of an equilateral triangle, to progressively develop structural observations, formalize group axioms, and assemble them into the …

Examining Coinfections With Human Cytomegalovirus, Christopher Samuel Peterson

Graduate Student Theses, Dissertations, & Professional Papers

Human cytomegalovirus (HCMV) is the largest of any human virus, both physically at up to 300 nm in diameter, and as a genome, with its 235 kbp DNA genome with at least 165 open reading frames. It is also the number 1 non-genetic cause of birth defects and has a global prevalence rate of just over 80%. Despite these characteristics, it is not as well known to the general public as some of the other human herpesviruses, such as herpes simplex or varicella-zoster virus. Like other herpesviruses, HCMV can establish latency, leading to a lifelong infection for its host with …

Investigating The Impact Of Aerial Firefighting On Rate Of Wildfire Spread, Lindsay Ann Wiard

Graduate Student Theses, Dissertations, & Professional Papers

Aerial retardant drops are widely used in wildfire suppression, yet their effectiveness in slowing fire spread remains difficult to quantify at scale. This study evaluates the impact of aerial suppression on wildfire rate of spread (ROS) using a modeling framework that incorporates both observed (real) and counterfactual (synthetic) drop locations from a sample of 62 wildfires in Oregon. Synthetic drops were generated to simulate a no-suppression baseline, allowing us to compare changes in ROS in the presence and absence of suppression. We trained two random forest classifiers: one using both real and synthetic drops (the full model), and another using …

Advancing Wildfire Science Through The Application And Parametrization Of Process Based Fire Models, Anthony Albert Marcozzi

Graduate Student Theses, Dissertations, & Professional Papers

Computational models of wildfires are an important tool for fire managers and scientists. However, representing fuel inputs with sufficient detail for process-based fire models to accurately reflect observed fire phenomena while remaining computationally tractable is a major challenge. This dissertation advances wildland fire science by applying and parametrizing such models to investigate complex fire-fuel interactions across multiple scales.

A primary contribution addresses fine-scale fuel characterization through a novel voxel-based technique converting Terrestrial Laser Scan (TLS) point clouds into three-dimensional (3D) fuel representations. This method was evaluated by comparing simulated fire behavior in the Fire Dynamics Simulator (FDS), optimized using the …

Depth Distribution Of Liquid Water In Greenlands Firn Layer Based On L-Band Radiometry, A Snow Physics Model, And Machine Learning, Taylor D. Moon

Graduate Student Theses, Dissertations, & Professional Papers

The accurate estimation of the amount of meltwater retained by Greenland’s firn layer and its distribution over depth is essential for assessing both the current and future mass balance of the Greenland Ice Sheet. When meltwater infiltrates the firn, it exists as a quantifiable volume of liquid water, measurable as the one-dimensional liquid water amount, hereafter referred to as LWA. A promising new tool for estimating LWA is L-band passive microwave satellite radiometry, which can provide twice-daily estimates using empirical models of firn microwave emission. However, this method faces two primary limitations. First, retrievals are untested against field observations and …

Investigating Non-Invasive Survey Methods And Building A Predictive Occupancy Model For Harlequin Ducks (Histrionicus Histrionicus) In Western Montana And Northern Idaho, Holli Ann Holmes

Graduate Student Theses, Dissertations, & Professional Papers

Harlequin Ducks (Histrionicus histrionicus; HADU) are an imperiled sea duck that breeds along white-water mountain streams, but challenges in surveying them have made it difficult to understand population trends in their Northern Rocky Mountain breeding population. In this study we had two objectives: (1) evaluate non-invasive survey methods for detecting HADU on their breeding grounds in Western Montana and Northern Idaho, and (2) develop an occupancy model to predict potential breeding stream use for HADU across the region. First, we assessed the efficacy of ground-based foot surveys (GBS), environmental DNA (eDNA), and camera traps to detect breeding HADU during …

Changes In Efficiency And Magnitude Of Recharge Due To Climate Change For Headwater Catchments In The Mountain West, Harrison Mcgillen

Graduate Student Theses, Dissertations, & Professional Papers

Changes to groundwater recharge and stream flow were simulated from downscaled CMIP6 global climate models in a headwater catchment of the Blackfoot River, MT. A calibrated, 3-D, coupled surface and groundwater GSFLOW model, forced with minimum and maximum temperature, and precipitation from a downscaled CMIP6 simulation was used to quantify groundwater recharge and stream flow. The model was calibrated against measured groundwater head and stream flow using observed temperature and precipitation boundary conditions. The calibrated model was then forced with downscaled temperature and precipitation from the CANESM5 model for the SSP245, 370 and 585 scenarios, as well as a manual …

Impacts Of Fire-Driven Vegetation Changes On Evapotranspiration In North American Boreal Forests, Tyler Glen Albrethsen

Graduate Student Theses, Dissertations, & Professional Papers

A growing body of evidence suggests that land cover change could be impacting evapotranspiration (ET) trends more than the direct impacts of climate change (Dashti et al., 2022; Zhang et al., 2015). In boreal forests, one of the Earth’s most important carbon sinks (Kang et al., 2006), climate and disturbance-driven land cover change is progressing rapidly, threatening the resilience of conifer-dominated forests (Baltzer et al., 2021; Massey et al., 2023). The spread of deciduous trees and the changing structure of boreal forests likely have large implications for the magnitude and seasonality of ecosystem water fluxes (Young-Robertson et al., 2016). This …

Mapping Mesic Resilience In Western Rangelands: Productivity Trends, Predictors, And Targeting Frameworks, Kristopher Robert Mueller

Graduate Student Theses, Dissertations, & Professional Papers

Mesic ecosystems in riparian areas and wetlands make up only 2% of western U.S. rangelands but support 80% of wildlife during dry periods, providing vital late-season forage and refuge when surrounding uplands dry out. Yet, mesic habitats are often overlooked in landscape-scale conservation planning. This thesis addresses two key gaps: understanding how mesic productivity responds to environmental change and developing frameworks to incorporate these habitats into current conservation strategies. Using 40 years of Landsat imagery (1984–2024), we examined long-term trends in late-season mesic vegetation productivity and its relationship with drought across the sagebrush biome. From 1984 to 2004, mesic productivity …