Digital Commons Network^™

Tl;Dr (Too Long; Didn't Read): Examining The Assessment And Causes Of Careless Responding Within Experimental Vignette Studies, David L. Sexton Jr.

Graduate Studies Theses and Dissertations 2026

Careless responding occurs when participants answer survey items without considering their content and poses a serious threat to data quality. However, while past research has examined its deleterious effects on both survey and low-stakes cognitive ability measures, little research has focused on careless responding in experimental vignette methodology (EVM) research. EVM studies require participants to attend to one or more experimental vignettes, which are carefully crafted written scenarios designed to manipulate a focal variable across conditions. However, if participants are careless in attending to study vignettes, they may not be exposed to the researchers’ intended experimental manipulations, thereby precluding them …

Data-Driven Seismic Site Classification Using Earthquake And Microtremor Horizontal-To-Vertical Spectral Ratios, Sanidhya Sharma

Graduate Studies Theses and Dissertations 2026

The prevailing seismic site classification parameter, the time-averaged shear-wave velocity in the upper 30 meters (V_S30), provides an incomplete representation of site conditions, neglecting deeper geology, impedance contrasts, and resonance phenomena. This thesis developed and validated a data-driven framework for seismic site classification based on the full spectral shape of Horizontal-to-Vertical Spectral Ratio (HVSR) curves combined with unsupervised machine learning, through two complementary research studies. Research 1 applied K-means clustering to earthquake-based HVSR (eHVSR) data from 3,186 ground motion stations across California and adjacent regions, identifying four physically distinct site clusters, characterized by low-frequency, very-low-frequency, high-frequency, and …

Reconciling Discretion With The Rule Of Law: A Rawlsian Analysis Of Civil Disobedience By State Actors In Liberal-Democratic Schemes, Reid Devoge

Dissertations, Master's Theses and Master's Reports

This dissertation starts from the position that the stability of liberal-democratic political schemes relies on its citizens mutually accepting a basic conception of political justice. While these conceptions of justice may vary, most incorporate the inter-connected concepts of autonomy, liberty, liberalism, and the rule of law. Within this conception of a liberal democracy, a potentially destabilizing issue arises when a legislatively passed law is put into effect, but a portion of the citizens perceive it as unjust. If legitimate (i.e., lawful) actions do not sufficiently resolve the concern, civil disobedience (i.e., disobeying the law) is a potential recourse, but this …

Mapping Historical Neighborhoods With Geospatial Viewshed Buffers, James B. Townsend

Dissertations, Master's Theses and Master's Reports

The concept of neighborhood has been long studied with little agreement beyond the notion that neighborhoods are somewhat self-contained areas within a wider urban environment. Despite the lack of a finite definition, there is wide agreement of the importance of studying population dynamics at the neighborhood scale. Many attempts have been made to spatially define, measure, and quantify contemporary neighborhoods, but less attention has been given to methods to spatially define historical neighborhoods. In this paper, we utilize a historical spatial data infrastructure for the city of London, Ontario to develop a viewshed methodology that recognizes that ‘neighborhood’ is unique …

Modeling Determinants Of Significant Noncompliance In The U.S. Mining Sector: A Fixed Effects Logistic Regression Approach, Eli Johnson

Dissertations, Master's Theses and Master's Reports

This study examines environmental compliance behavior among mining facilities regulated under the U.S. Clean Water Act (CWA). Using a national quarterly panel of National Pollutant Discharge Elimination System (NPDES)-permitted mining facilities, the analysis evaluates whether local socioeconomic and demographic indicators are associated with the likelihood that a facility enters significant noncompliance (SNC) status. Facility compliance histories are compiled from the U.S. Environmental Protection Agency’s Enforcement and Compliance History Online (ECHO) database and is merged with county- and state-level socioeconomic indicators and election data. A fixed-effects logistic regression model is used to account for time-invariant facility heterogeneity. The results suggest that …

Shm For Incipient Buckling Detection In Overloaded Structures Using Nonlinear System Identification Algorithms On Redundant Data Sets, Padmanabh Shridhar Desai

Dissertations, Master's Theses and Master's Reports

Structural health monitoring (SHM) detects and characterizes damage to predict failure, but failures such as buckling, which are not predicated on traditional damage modalities, are harder to detect. Direct load measurements are costly and difficult to implement (especially for dead loads) as they require copious numbers of sensors, which must be installed before loading is present. Vibration-based detection is a good alternative because it can infer global structural characteristics with relatively few sensors. This dissertation presents an SHM approach for detecting incipient buckling in structures under excessive loads based on non-linear models fit from measurements of small lateral vibrations due …

Development And Calibration Of A 2-D Diesel Oxidation Catalyst Filter (Docf) Model With Spatially Varying Washcoats Using Spacims And Engine Loading Data, Thomas K. Price

Dissertations, Master's Theses and Master's Reports

Diesel engine exhaust contains regulated species, including carbon monoxide, hydrocarbons, nitrogen oxides, and particulate matter (PM). Meeting increasingly stringent emission standards typically requires multiple aftertreatment components, motivating the development of multifunctional devices that reduce system size, cost, and catalyst usage. Computational models are essential for guiding this design process; however, existing models primarily focus on single-function devices and rarely capture the behavior of multifunctional systems with multiple catalyst washcoats. This work presents a physics-based model of a wall-flow diesel oxidation catalyst filter (DOCF), a multifunctional device that integrates the roles of a diesel oxidation catalyst and a diesel particulate filter …

On The Vibrational Dynamics Of Wind Turbine Blades: The Oscillatory Response To Gust Pulses, And The Physical Mechanisms Behind Them, North A. Yates

Dissertations, Master's Theses and Master's Reports

An easily noticed trend in the utility-scale wind turbine industry is that the size of the machines has continued to increase over time. While this may have benefits in terms of increasing the power generation for a single turbine, a major drawback is the rate with which the weight of the turbine blades grow. To ensure these larger machines can be utilized, efforts are being put forth to create lighter blades. This may fix the weight issue, but brings on a new one; these lighter blades can also be more flexible than previously studied ones. It is, therefore, vitally important …

Digital Technology And Women’S Health In Nigeria: A Feminist Sts Walkthrough Analysis Of Mdoc Digital Health, Edith Michael Ogbodo

Dissertations, Master's Theses and Master's Reports

This thesis critically examines how a Nigerian digital health platform, mDoc, represents and constructs women’s health. Drawing on Feminist Science and Technology Studies (STS) and Light et al.’s (2018) walkthrough method, the study interrogates the values, assumptions, and power relations embedded in mDoc’s design, language, and governance structures. The analysis reveals that mDoc, despite positioning itself as an equitable solution to Nigeria’s health crisis, reproduces and depoliticizes the structural inequalities it claims to address. Through its neoliberal emphasis on self-care, the individualization of structurally produced suffering, and the datafication of women’s bodies, the platform encodes gendered, colonial, and class-based assumptions …

Computational And Ai Frameworks For Identifying Key Regulatory Genes And Their Target Genes In Plants And Humans, Md Khairul Islam

Dissertations, Master's Theses and Master's Reports

This dissertation presents computational and AI-driven frameworks for identifying key regulatory genes and their downstream targets across plant and human biological systems. Three studies address distinct challenges in genomic regulation using advanced machine learning and bioinformatics approaches.

The first study introduces DyGAF (Dynamic Gene Attention Focus), a dual-attention transformer framework that identifies and ranks disease-relevant biomarker genes by simultaneously modeling independent molecular responses and interdependent regulatory network behavior. Two attention models provide complementary perspectives on gene importance and are fused through a novel combination metric. Applied to COVID-19 nasopharyngeal swab profiles, the attention-weighted representations achieved 94.23% classification accuracy, high sensitivity, …

Machine Learning And Multi-Scale Optimization For Control And Energy Management In Connected And Automated Vehicle Propulsion Systems, Joshua D. Orlando

Dissertations, Master's Theses and Master's Reports

This dissertation presents a multi-scale optimization framework leveraging machine learning (ML) to enhance energy efficiency in connected and automated vehicle (CAV) propulsion systems. As transportation transitions toward hybridization and automation, the integration of vehicle-to-everything (V2X) connectivity and advanced control algorithms offers unprecedented opportunities for energy reduction. This research addresses three critical scales of vehicle energy management: multiple vehicle-level coordination, component-level powertrain dynamics, and real-time vehicle parameter estimation.

First, the research investigates the energy consumption characteristics of heterogeneous propulsion systems—ranging from internal combustion engines to battery electric vehicles across light- and heavy-duty sectors—on arterial roadways. Utilizing Particle Swarm Optimization (PSO) and …

Physicochemical Characterization Of Small Extracellular Vesicles: Effects Of Immobilization, Isolation, And Disease State, Bianca M. Mercado Velez

Dissertations, Master's Theses and Master's Reports

Cancer treatments and survival outcomes have improved significantly in the last couple of decades, with survival rates increasing in the U.S. Despite improvements in treatment outcomes, early detection and treatment are crucial for improving cancer prognosis and survival rates. The standard cancer diagnostic procedure of tissue biopsy is highly invasive, leading to the further spread of cancer in some cases. Alternatively, the extraction of biofluids from cancer patients, also called a liquid biopsy, is increasingly popular because it is less invasive and more representative of the tumor microenvironment, which contains cancer cells, tumor genetic material, and extracellular vesicles, including small …

Robust State Estimation And Scene Understanding For Autonomous Ground Vehicles In Challenging Environments, Nader J. Abu-Alrub

Dissertations, Master's Theses and Master's Reports

Autonomous ground vehicles require reliable state estimation and scene understanding to operate safely in challenging environments. Poor illumination, adverse weather, degraded visibility, snow-covered roads, and sensor noise can reduce the reliability of conventional localization and perception pipelines. Addressing these challenges requires sensing and algorithmic strategies that exploit the complementary strengths of different modalities. Radar is particularly attractive because of its resilience to lighting and weather variations, while inertial, camera, and lidar measurements provide additional motion, appearance, and geometric information. This dissertation investigates compact radar-based and sensor-fusion approaches for improving autonomous ground-vehicle state estimation and scene understanding under degraded sensing conditions. …

Antenna-Based Sensors For Dielectric Characterization Of Materials, Hilary Scott Nkimbeng Cho

Dissertations, Master's Theses and Master's Reports

This research introduces antenna-based sensors for dielectric characterization aimed at overcoming the limitations of conventional microwave sensors. Although traditional microwave sensors are widely used for their noncontact operation, high sensitivity, and ability to penetrate various materials, they often face challenges such as large size and high-power consumption. To address these issues, antenna-based sensors are explored for their compactness, ease of fabrication, and flexible design adaptability across diverse sensing applications. An in-depth analysis of multiple antenna sensor configurations is conducted, followed by the design and development of high-performance sensing structures. A saw-tooth slot antenna sensor is developed for highly sensitive liquid …

Applied Forest Restoration And Conservation In Michigan: Advancing American Beech Restoration And Documenting A Historical Insect Collection, Thomas E. Panella

Dissertations, Master's Theses and Master's Reports

Forest restoration and conservation require both practical management approaches and the preservation of biological resources that support future research. This dissertation presents applied research conducted in Michigan that advances American beech (Fagus grandifolia) restoration in response to beech bark disease (BBD) while documenting an important historical entomological resource. Chapters 1–3 focus on overcoming practical barriers to American beech restoration. Restoration protocols were developed and refined for identifying BBD-resistant trees, graft propagation, rootstock collection, container production, and the field establishment of grafted BBD-resistant trees. A greenhouse experiment evaluated the influence of growing media and fertilization on container stock quality, …

First-Principles Investigation Of Quasi-One-Dimensional Van Der Waals Magnets For Advancing Low-Dimensional Spintronics, Alyssa Horne

Dissertations, Master's Theses and Master's Reports

Van der Waals (vdW) magnets have been of great interest for advancing low- dimensional spintronics. A notable example is the quasi-one-dimensional (Q1D) vdW CrSbSe₃, as it is composed of individual one-dimensional units that are held together by the vdW forces. Finding other Q1D vdW magnets that exhibit non-metallic behavior together with long range ferromagnetic ordering is critical in developing next generation spintronics. Here in, using first-principles density functional theory (DFT), we investigate the compositional effects on electronic and magnetic behavior of Cr_1–xMn_xSbSe₃ (x = 0, 0.5, 1). When 50% of Cr is replaced …

Using Automotive Lidar To Reduce The Energy Consumption Of An Ego Autonomous Vehicle, Logan P. Schexnaydre

Dissertations, Master's Theses and Master's Reports

There is significant potential to reduce the energy consumption of the transportation sector through autonomous vehicles. Prior work on autonomous vehicle energy efficiency focuses on the whole system or the control subsystem. Yet, the sensing and processing components, which have direct and indirect effects on net energy use, are less explored. This dissertation fills this gap by modeling and evaluating these effects for lidar sensors, which provide high-resolution spatial data at the cost of high power and processing demands. I apply lidar to the energy-saving tasks of automated vehicle following and road surface profiling. For automated vehicle following, I model …

Beyond Satisfaction: Developing A Data Storytelling Evaluation Protocol For Stem Equity Program Assessment, Karen Colbert

Dissertations, Master's Theses and Master's Reports

Higher education institutions routinely evaluate equity initiatives using measures of participation, engagement, and satisfaction. While these approaches provide useful information about program delivery, they offer limited insight into whether interventions change how participants understand institutional inequities. As a result, important dimensions of organizational learning and awareness often remain difficult to detect, particularly within STEM higher education environments where evaluation systems frequently emphasize measurable outputs over deeper indicators of change.

This dissertation examines how awareness-related outcomes can be identified, measured, and communicated within equity intervention contexts. Using a three-study design, the research first presents a systematic review of equity intervention evaluation …

Enhancing Coastal Vulnerability Assessments And Policy Impacts On Socioeconomic And Environmental Equity In Michigan's Great Lakes Communities, Esther N. Acheampong

Dissertations, Master's Theses and Master's Reports

Accelerating shoreline erosion, fluctuating lake levels, and climate-induced hazards are transforming the Great Lakes’ freshwater coasts, exposing the limitations of static and inequitable management frameworks. This dissertation investigates how Michigan’s coastal governance systems produce and manage vulnerability along the Lake Michigan shoreline by integrating geospatial modeling, institutional policy analysis, and environmental justice theory. It argues that both physical processes and institutional designs co-determine patterns of exposure, protection, and equity. The research begins by developing a refined Coastal Vulnerability Index (CVI) tailored for lacustrine environments, applying it to Muskegon County to assess how shoreline change, armoring, and seasonality influence localized risk. …

Challenging Agency Deregulation, Todd S. Aagaard

Faculty Publications

The administrative state is experiencing two seismic shifts. First, in recent years, the Supreme Court has issued a series of decisions that significantly curtailed the powers of administrative agencies. Second, President Donald Trump is using administrative agencies to aggressively deregulate in his second term. The conventional wisdom is that the Supreme Court’s recent precedent will facilitate the Trump Administration’s deregulatory agenda.

This Article argues the opposite. Instead of promoting agency deregulation, recent Supreme Court precedent restraining agency authority provides a potentially powerful basis for challenging agency deregulation as administrative overreach. Time and time again, the Court has taken agencies to …

Are Iowa Pk-12 Schools Prepared For A School Shooting? A Needs Assessment Of Iowa Superintendents, Kurt Mj Devore

Dissertations and Theses @ UNI

As school shootings remain a persistent threat to PK-12 education, this quantitative survey study examines the preparedness levels and beliefs of 75 out of 277 Iowa superintendents regarding active shooter events. In the wake of the 2024 tragedy in Perry, Iowa, results indicate a near-universal recognition of risk (97.3%), prompting a shift toward "muscle memory" training and the adoption of the Standard Response Protocol (SRP) to ensure a common language during a crisis. The data reveals a significant move away from high-intensity simulations in favor of trauma-informed tabletop exercises, alongside a definitive rejection of arming educators (0%) due to insurance …

Can’T Sue A Movement: Greenpeace’S $667 Million Crisis Narrative, Trevor Hart

Dissertations and Theses @ UNI

In March of 2025, the environmental group Greenpeace was found liable for nearly $667 million to Energy Transfer, the oil company behind the Dakota Access Pipeline (DAPL). The lawsuit was widely regarded as a SLAPP, or Strategic Lawsuit Against Public Participation, because it weaponized civic torts to infringe upon Greenpeace’s First Amendment rights. The $667 million verdict is an unprecedented figure in SLAPP litigation–it’s enough to bankrupt Greenpeace in the United States and “chill” democratic participation. This thesis used a hybrid blame-renewal crisis narrative framework to analyze Greenpeace’s public response to lawsuits against a backdrop of cultural and political economic …

The Shared Superintendent In Iowa: Benefits, Challenges, And Lessons Learned Over The Last Thirty Years, Amanda Schmidt

Dissertations and Theses @ UNI

This study examined the benefits, challenges, and leadership qualities associated with the shared superintendent model, and compared them with lessons learned over the last thirty years. Understanding how this model impacts dynamics within schools and the community is crucial to identifying strategies that support effective governance and enhance educational outcomes for all involved. A qualitative, phenomenological study approach was used to research the role of the shared superintendent in rural Iowa. Participants were those who served as a shared superintendent between a minimum of two school districts within the state of Iowa and have held this position for at least …

An Analysis Of The Influence Of Project-Based Assessments In Middle School Mathematics, Andrea Fettkether

Dissertations and Theses @ UNI

In today’s diverse classrooms, teachers face the challenge of educating students with varied academic abilities, including those with disabilities, gifted learners, and students at grade level. The Individuals with Disabilities Education Act (IDEA) ensures inclusive access to core curriculum, but educators must differentiate instruction to meet all learners’ needs. Traditional assessments focus on rote memorization, often failing to reflect deeper understanding or real-world problem-solving.

In middle school math, standard curricula often lack project-based assessments, despite research supporting their effectiveness in improving academic achievement and student engagement. Students benefit from working in collaborative environments where they can discuss mathematical ideas, receive …

07.03.02. Whooping Crane, Grus Americana, T. A. Dellinger, W. B. Brooks, Ann Hodgson, Florida Ornithological Society

07.03. <em>Gruidae</em> - Cranes

Whooping Cranes are one of the rarest birds in North America. Historically, migratory Whooping Cranes were widespread, albeit rare, through the prairie marshes of the north-central United States and southern Canada, and a non-migratory flock inhabited open marshy areas in southwest Louisiana.

Multi-Level Energy Optimization For Connected And Automated Vehicles: From Cooperative Multi-Vehicle Control To Individual Powertrain Management, Pruthwiraj Santhosh

Dissertations, Master's Theses and Master's Reports

The transportation sector currently accounts for nearly 30% of global energy consumption, necessitating urgent advancements in vehicle efficiency to meet Net Zero targets. Leveraging connectivity and automation, this dissertation proposes and validates methodologies to reduce the energy consumption of light-duty vehicles at both fleet and individual levels.

First, a validation framework is developed to bridge the “simulation-to-real world” gap in Cooperative Automated Vehicle (CAV) research. Moving beyond virtual simulations, the study establishes a methodology for physically validating centralized control architectures via a custom Cellular V2X network. By synchronizing vehicle-powertrain models with physical test vehicles, the framework successfully orchestrates complex arterial …

On The Surface: The Mural Of Shireen Abu Akleh As Space For Encounter, Saja Abd El Hai

Dissertations and Theses @ UNI

This thesis examines a mural of Palestinian journalist Shireen Abu Akleh in the city of Baqa al-Gharbiya as a site of political encounter. Rather than approaching the mural solely as a commemorative image, the study analyzes how it generated a series of interactions through acts of creation, defacement, restoration, performance, and digital circulation. Drawing on scholarship in visual culture, graffiti studies, and political theory, I argue that the mural operates as a gendered space of political encounter through which grief, resistance, and national identity are negotiated in public space. Methodologically, the project combines visual and contextual analysis with rhetorical criticism, …

Exploring Governance And Government Policies Of Preparedness And Response To Flooding In Juneau, Alaska, Derreck Asiamah

Dissertations and Theses @ UNI

Flooding poses an escalating threat to human well-being, economic stability, and environmental resilience in climate-sensitive regions such as Juneau, Alaska, where the retreat of the Mendenhall Glacier has produced an actively expanding ice-dammed lake, Suicide Basin, capable of triggering an annual Glacial Lake Outburst Flood (GLOF). This thesis explores the governance and government policies shaping flood preparedness and response in Juneau, Alaska, with particular attention to GLOF risk and the August 2024 GLOF, one of the most destructive flood events in the city's history. Grounded in adaptive governance theory and political ecology, the study offers a multidimensional perspective on institutional …

07.03.01. Sandhill Crane, Antigone Canadensis, T. A. Dellinger, S. A. Nesbitt, Ann Hodgson, Florida Ornithological Society

07.03. <em>Gruidae</em> - Cranes

The Sandhill Crane breeding range spans from Siberia and Alaska, across much of Canada and the northern United States, with year-round populations in Cuba, Florida, and Mississippi.

Design, Syntheses And Biological Applications Of Fluorescent Probes For Nad(P)H, Hsa And Cellular Microenvironment Sensing, Adenike M. Olowolagba

Dissertations, Master's Theses and Master's Reports

Fluorescent probes have emerged as powerful tools for investigating complex biological processes due to their high sensitivity, selectivity, and capability for real-time, non-invasive imaging. In particular, the detection of key biomolecules such as NAD(P)H, viscosity-related parameters, human serum albumin (HSA), and pH is essential for understanding cellular metabolism, redox homeostasis, and disease progression. In Chapter 2, three coumarin-based fluorescent probes (A–C) were designed, synthesized, and characterized for monitoring NAD(P)H levels in living cells. Probes A and B feature coumarin–cyanine hybrid structures linked via vinyl and thiophene bridges to 3-quinolinium acceptors, respectively, while probe C incorporates a dicyano moiety to replace …