Resilient Control Framework For Ev Motor Drive System Subject To Cyber-Physical Security, Ali Arsalan

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The electric drive system (EDS) in electric vehicles (EVs) is one of the key safety-critical components. As IoT-enabled communication infrastructure for modern cyber-physical automotive systems continues to evolve, the importance of securing EDS against cyber threats along with physical faults, has become increasingly prominent. Among physical faults, power switches are particularly vulnerable and exhibit the highest susceptibility to open-circuit faults (OCFs). A compromised EDS, whether due to cyber threats or physical issues, can lead to excessive mechanical vibrations, increased thermal stress, fluctuations in electromagnetic torque, and elevated total harmonic distortion. These factors can substantially undermine traction control stability and jeopardize …

Engaging Minds: The Impact Of Multimodal Instruction On Multiplication Facts, Ashleigh Cobey

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This dissertation examined the impact of a multimodal, station-based instructional approach on student engagement and multiplication fact fluency among third-grade students at Hopeful Elementary School (HES), a Title I, high-poverty school. Traditional methods of rote memorization have not consistently met the needs of all learners, particularly those from under-resourced backgrounds or with disabilities. This study explored how structured opportunities to practice multiplication through music-based, game-based, and technology-enhanced learning experiences influenced student engagement and fluency.

Using a multimethod design, the intervention group participated in the Multimodal Multiplication Intervention, rotating through three stations Monday through Wednesday and selecting a preferred station on …

Using Parent Empowerment Groups To Increase Academic Success In Kindergarten Multilingual Learners, Sarah C. Deloach

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This study examined how parent empowerment groups influence the academic success of kindergarten multilingual learners. With increasing immigration across the United States, schools need to work with families to ensure students develop the skills required for academic achievement at each level. The identified problem is that the current multilingual learner program at Boyd Matthews Elementary does not adequately meet parents’ needs in building a strong home-school connection, placing the full responsibility of learning on the school and leaving students without critical academic support at home. Parent empowerment groups were held with multilingual kindergarten parents to share practical strategies for supporting …

The Influence Of Past Experiences On Middle School Band Directors’ Instructional Practices, Jessie Lynn Peterson

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This qualitative study investigated the influence of middle school band directors’ past experiences on their instructional decision-making and implementation of culturally relevant pedagogy (CRP). Embedded in Ladson-Billings’s (1995, 2014) CRP framework and Lortie’s (1975) apprenticeship of observation theory, this study explored the relationship between middle school band directors’ past experiences, their beliefs about CRP, and their instructional practices.

Music education in the United States has historically focused on Western European classical traditions that overlook the cultural diversity of today’s students and reinforce dominant pedagogical norms. Semi-structured interviews were conducted with six middle school band directors. Participants discussed their musical backgrounds, …

Designing Self-Healable Aromatic Copolymers And Olefinic Composites, Samruddhi Yashwant Gaikwad

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Self-healing polymers capable of recovering from mechanical damage are promising materials for advanced applications, especially those involving mechanical and/or physical fatigue. In these studies, we have developed techniques to achieve autonomous self-healing in commodity Styrene/n-butyl acrylate copolymers. The mechanism of self-healing in the designed polymers involves inter-and/or intrachain non-covalent interactions between π-cloud and polar linkages of acrylic nBA in random/preferentially alternating copolymers. A combination of spectroscopic tools, thermo-mechanical analysis, and molecular dynamics (MD) simulations has been used to elucidate the mechanism of self-healing. These studies further show the incorporation of dipolar C-F groups to understand the effect of having fluorinated …

Like Footprints In The Sand: How Founders Imprint Organizational Culture Through Nonverbal Cue Signaling, Dirk M. Roskam

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Despite growing recognition of the significance of founders’ behaviors in shaping organizational culture, limited research has explored how founders’ non-verbal cues (NVCs) imprint culture during a venture’s formative stages. This qualitative case study examines how a founder’s NVCs, ranging from physical environment design to gestures and demeanor, are interpreted by employees and contribute to the imprinting of organizational culture. Drawing on imprinting theory, signaling theory, and the Organizational Culture Profile (OCP), the study triangulates data from semi-structured interviews, a focus group, and a literature review. Findings reveal that employees interpret 24 salient NVCs, grouped into themes of environmental values, people-centric …

Improving Retention Of Students With Disabilities In Stem Through Math-Based Type Science Readiness, Eleni N. Koukoularis

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Abstract

This Dissertation in Practice examined the impact of a Math for Science Readiness (MSR) intervention on the science course planning behaviors of Students with Disabilities (SWD) in College Preparatory Basic (CPB) Chemistry, with the aim of increasing enrollment into Physics 1 College Placed Academic (CPA). Using an approach grounded in sociocultural theory and strength-based practices, the intervention implemented 16 short modules connecting chemistry and physics through shared math themes to reinforce math concepts across disciplines.

Data collected included physics interest surveys, common assessment exam scores, enrollment data, and counselor feedback to evaluate whether targeted math support could promote progression …

White Secondary Social Studies Pre-Service And First Year Teachers’ Emotions Surrounding Topics Of Race In Light Of Current Censorship Laws, Noble M. Edmisten

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This study aimed to identify the varied emotions of white, pre-service and first year secondary social studies teachers when facing the possibility of teaching topics of race, especially in the current “anti-CRT” political climate. Using Critical Race Theory and Plutchik’s Wheel of Emotion as a guiding framework, this exploratory, multiple case study employed a variety of qualitative data collection methods and analysis practices. The cross-case analysis, using Constant Comparative Analysis, identified six common themes across the individual cases. The findings revealed that white pre-service and first year secondary social studies teachers believed race was impacting every area of life, they …

Organizational Metamorphosis: When Artificial Intelligence Transforms Companies Into New Economic Life Forms, Allan M. Glass

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Traditional theories of organizational change fall short in explaining how artificial intelligence (AI) transforms organizations. This grounded theory study, based on interviews with 34 organizational leaders, identifies a novel phenomenon: organizational metamorphosis - the irreversible transformation of organizations into fundamentally new entities through deep integration with AI as a cognitive partner.

The metamorphosis process unfolds in three phases. Individual Awakening occurs when leaders experience powerful interactions with AI, prompting a rapid shift from skepticism to advocacy. Once a critical mass of leaders undergo this shift, it initiates Organizational Restructuring, characterized by reimagined work design, boundary dissolution, and altered temporal rhythms. …

Toward A Unified Theory Of Fire-Induced Spalling Of Concrete: Transcending Domain Knowledge Limitations Through Explainable Artificial Intelligence, Causal Discovery And Inference, Mohammad Al Bashiti

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When concrete is exposed to fire, it can suddenly break apart in a dangerous process called spalling. This can severely weaken buildings and even trigger a collapse. While researchers have studied this problem for years, we still don’t fully understand what causes it. My research uses a combination of data, and advanced AI techniques to identify and quantify the key factors that increase the risk of spalling. I collected data from over 1,000 fire tests and used AI models to predict when spalling might happen. I also applied explainable AI tools to understand why it happens.

The results showed that …

The Intersection Of Makeup And Recreation: A 21st Century Overview Of Makeup Participation And Its Recreational Benefits, Jason Morgan

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This dissertation critically reconceptualizes makeup participation as a legitimate, multidimensional form of recreation. Through a comprehensive rapid review using the SPIDER framework of 102 peer-reviewed studies published between 2000 and 2025, the research investigates whether and how makeup fulfills the psychological, affective, and symbolic criteria of meaningful leisure. Drawing on the Serious Leisure Perspective (SLP) and broader recreation theory, the study positions makeup not merely as aesthetic behavior or consumer habit, but as a sustained, emotionally generative practice embedded in identity, creativity, personal growth, and well-being.

Findings reveal that makeup is consistently linked to confidence-building, emotional regulation, self-expression, and psychological …

Regulatory Tension In Highly Structured Organizations, David Elliott Sr.

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This study examines the psychological mechanisms by which employees with a pronounced propensity for risk-taking navigate highly formalized organizational environments. Utilizing a longitudinal, three-wave cross-sectional design with temporal separation, the research surveyed 220 employees with psychometrically validated instruments to assess personality traits, role conflict, and organizational identification. Anchored in an integrative framework that combines regulatory focus theory (Higgins, 1997) and identity theory (Burke & Stets, 2009), the study hypothesized that self-verification striving and a growth mindset mediate the relationships between risk-seeking tendencies and the outcomes of role conflict and organizational identification, with organizational structure serving as a moderating variable. Structural …

Discovering High-Redshift Bl Lacs And Localizing Grbs For Mev Missions, Yong Sheng

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Blazars are active galactic nuclei (AGNs) with their jets aligned towards Earth. Gamma-ray bursts (GRBs) can be classified into long and short types. Long GRBs are produced by the collapse of massive stars, while short GRBs are formed by binary mergers (neutron star - neutron star or neutron star - black hole mergers). Both objects are the key probes of extreme physics processes and cosmic evolution, providing us an unique window to understand the Universe. My research aims to measure the redshift of blazars and localize GRBs for proposed and upcoming gamma-ray telescopes. BL Lac objects (BL Lacs) are a …

12co Ro-Vibrational Spectroscopy Of Protoplanetary Disks: Inferring Planet-Disk Interactions, Janus Kozdon

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Observing and studying planets around young stars during their initial formation stages is essential for understanding the physics of their formation. Protoplanetary disks are the host sites of planets, and they exhibit substructures that hint towards the planets' presence, but the planet itself has rarely been detected. Analysis of the substructures in protoplanetary disks, especially towards the inner regions where most planets seem to lie, will provide information that can be used to refine theories about planet-disk interactions and, ultimately, planet formation. To probe the high-velocity inner regions, this study utilizes high-resolution spectroscopy, which has increased sensitivity with increasing velocities. …

Evolutionary Biomechanics In Cetartiodactyla: Impacts Of Ecological Shifts On Bone Material Properties And Control Surface Morphology, Danielle S. Adams

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Extreme ecological transitions expose organisms to novel selective pressures that can reshape morphology and performance. This dissertation investigates how the transition from land to water has influenced form and material properties in cetaceans (whales, dolphins, and porpoises), a clade that has undergone dramatic morphological and physiological adaptations to a fully aquatic lifestyle. I integrate comparative morphology, material property testing, and phylogenetic analyses, to explore how ecological demands, particularly related to foraging mode and prey detection, have shaped multiple aspects of cetacean morphology and function. Using nanoindentation and microCT, I measured elastic modulus and bone density of the skull and mandible …

Investigation Of Solid-State Reactive Sintering And Rapid Laser Reactive Sintering For Al-Doped Li7la3zr2o12 Solid-State Electrolyte, Aaron Santomauro

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As a society, we’ve exhausted an extreme amount of fossil fuels and put an overwhelming strain on Earth’s natural resources. From this, it is critical to think about the successful future of our planet and ourselves by developing energy devices such as all-solid-state lithium-ion batteries (ASSLIBs). These devices offer a greener and more efficient alternative to power our daily lives, such as electric vehicles (EVs), portable electronics, medical devices, grid-scale energy storage, and aerospace/aviation. ASSLIBs are an excellent alternative to liquid-state batteries, which pose dangerous safety concerns (e.g., flammability, electrolyte leakage, etc.). These ASSLIBs are known to have generally high …

Experimental Design And Analysis For Decision Making: Methodology And Applications, Yezhuo Li

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This dissertation develops and applies advanced statistical and optimization frameworks to enhance decision-making under uncertainty, particularly in engineering and manufacturing contexts. First, we introduce an approach for the optimal design of controlled experiments that accounts for observational covariates, enabling more precise and personalized decisions. Second, we explore the application of constrained Bayesian optimization, using Gaussian process surrogate models, to optimize composite cure processes, significantly reducing computational effort while maintaining high predictive accuracy. Building on this foundation, we extend Bayesian optimization to bivariate Gaussian process models that capture correlations between objective and constraint functions, offering new insights into multidimensional decision landscapes. …

Improving Health Outcome Through Mobile Clinics, Spatial Access, And Overdose Management: A Data-Driven Study Of People Who Inject Drugs, Individuals With Opioid Use Disorder, And College Students, Abass A. Babatunde

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ABSTRACT

Background

The opioid crisis remains a critical public health challenge in the United States. Mobile Health Clinics (MHCs) have emerged as a promising solution to bridge healthcare access gaps for these vulnerable populations, particularly for PWID and individuals with OUD in underserved and rural communities. Despite their potential, geographic disparities in MHC access and knowledge gaps in opioid overdose management and related diseases, including Hepatitis C Virus (HCV), remain significant barriers to care. This dissertation addresses three key dimensions of healthcare delivery for PWID, OUD populations, and college students: (1) barriers to MHC utilization for HCV screening and treatment …

Advancing Lithium-Ion Batteries Through Exploration Of Novel Physico-Chemical Phenomena, Peshal Karki

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Lithium-ion batteries (LIBs) power a wide range of modern devices, from smartphones to electric vehicles. This dissertation integrates materials characterization and electrochemical testing to develop novel Si-based electrode materials, investigate separator effects, and improve electrochemical impedance spectroscopy (EIS) modeling. First, I synthesized Si@CC composites using bio-based carbon sources and discovered a novel in situ disorder reduction in the amorphous carbon cloud during cycling, attributed to Si volume fluctuations and mesoporous carbon structure, which enhanced capacity retention. A binder-free electrode (Si@CC@BP) using bucky paper further improved gravimetric and areal capacities while reducing weight and manufacturing complexity.

Next, I investigated how separator …

Structural Design Using Conditional-Gan Fused With Property Text Information: A Case For Masonry Structures, Arash Teymori Gharah Tapeh

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Structural design, by nature, is a complex process that requires a considerable amount of time, expertise, and knowledge. In such a process, the structural designer must navigate various codal provisions to crystallize a proper and adequate design. As the role of automation continues to shape the domain of structural engineering over the past few decades, a new front leverages artificial intelligence (AI). Currently, AI acts as a "copilot," collaborating to advance workflow speed and accelerate the design process. Among all the different collaborations between humans and AI, GANs (Generative Adversarial Networks) are seen to complement human creativity by automating specific …

Tiered Structured Intervention Program To Prevent Student Pushout In High School, Toshawnka T. Mahone

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High school dropouts remain a challenge in the United States Educational System, particularly among students impacted by chronic attendance issues, academic struggles and persistent behavioral issues. This Dissertation in Practice (DIP) examines the implementation of ELEVATE3, an intervention program designed to prevent student pushout by addressing distinct at-risk factors: attendance, behavior and academic retention. Framed by pushout theory and grounded in goal-setting and self-efficacy literature, this study investigates how targeted structured supports influence students' motivation, academic achievement, and self-regulation. This mixed-methods research used student academic records and staff interviews to determine the impact on a rural Title 1 high school. …

An Investigation Into The Impact Of Inverter Based Resources On Critical Clearing Time, Trupal Patel

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Renewable energy sources, mainly inverter-based resources (IBRs) such as solar and wind plants are being connected in large numbers to the bulk power grid in the United States and around the world. Additionally, generation using fossil fuels are being phased out, which results in the loss of rotor inertia, a key contributor to the transient stability of power systems. Therefore, the large-signal behavior of IBRs and its impact on transient stability must be studied.

This work studies this impact through the metric of critical clearing time (CCT). Impact of grid topology, generation mix and control modes of IBRs on CCT …

Three Essays In The Economics Of Disagreements: Incentives, Measurement And Persistence, Mustafa W. Alam

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This dissertation presents three chapters that contribute to the study of economic forces shaping disagreements in society.

In Chapter 1, I demonstrate that political polarization can intensify due to innovations in the information market even if a population's ideological distribution is fixed. Viewership-maximizing news firms cater to a diverse audience who assess source accuracy using noisy private signals that vary in precision and ideological bias. If better-informed consumers disproportionately migrate to newer platforms for news (e.g., the Internet), traditional media firms increase news slant to appeal more to less-informed partisans on both sides of the ideological spectrum. This leads to …

Human Comfort Modeling, Measurement, And Improvement In Human–Robot Collaboration, Yuchen Yan

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A dissertation is proposed to explore human comfort in human-robot collaboration (HRC) through modeling, prediction, and enhancement methodologies. Human comfort is a crucial yet underexplored factor in HRC, directly influencing task efficiency, trust, and overall collaboration effectiveness. Understanding the influential factors, developing computational models, and refining methods to improve human comfort in HRC are essential steps toward advancing the field of collaborative robotics. To address these challenges, multiple studies have been conducted. A series of experimental studies were performed to investigate how robot motion-based parameters affect human comfort in HRC. These studies examined both analytical comfort modeling approaches and physiological …

Submissive Daughters, Empowered Daughters: Conduct Rhetoric And Evangelical Women’S Authority, Carrie Hill

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Submissive Daughters, Empowered Daughters: Conduct Rhetoric and Evangelical Women’s Authority explores how evangelical women rhetors navigate and rework patriarchal religious expectations through what I term conduct rhetoric. Building on the tradition of conduct literature, this project broadens the genre to include multimodal platforms—literature, radio/podcasts, television, and social media—used to instruct women in evangelical norms. Rather than passively accepting patriarchal constraints, evangelical women rhetors strategically adopt and reframe these constraints to construct rhetorical authority. Central to this study are two terms: affected piety and performative dissonance. Affected piety describes how women rhetorically present submission as the grounds for their …

Bilevel Network Interdiction Models For Human Trafficking Disruption, Daniel Bruno Lopes Da Silva

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In this dissertation, we study a series of bilevel network interdiction problems motivated by applications in human trafficking disruption. First, we consider a bilevel network interdiction problem where the follower aims to maximize the amount of flow from the source node to the sink node and the leader aims to minimize the number of arcs from a critical set that have positive flow on them in the solution obtained by the follower. This problem models the situation where an anti-trafficking agent wants to minimize the number of people affected by the trafficking operations whereas the trafficker wants to maximize trafficking …

Progress Towards Uranium Isotope Ratio Measurements Directly From Cotton Swipes With The Liquid Sampling – Atmospheric Pressure Glow Discharge (Ls-Apgd) Ionization Source, Joseph V. Goodwin

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The liquid sampling – atmospheric pressure glow discharge (LS-APGD) ionization source is a novel microplasma ionization source capable of ionizing a diverse set of both inorganic and organic chemical species including, ionic metal constituents as well as ligated metallic species, polyaromatic hydrocarbons (PAH), halogens, proteins, and even per/poly fluorinated alkyl substances (PFAS). The ability to generate ions from diverse chemical species, known as combined atomic and molecular (CAM) ionization, is not found with traditional ionization sources. In addition, the LS-APGD is capable of coupling with mass spectrometer platforms typically reserved for “organic” mass spectrometry, such as the high-resolution Orbitrap mass …

Distribution, Roles And Environmental Drivers Of Bacterial Communities In The Chesapeake And Delaware Bays, Mir Alvee Ahmed

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In this dissertation, water samples from the Chesapeake and Delaware Bay estuaries were analyzed to see how estuarine environmental gradients drive distributions, functional potential, growth estimates and gene expressions of bacteria. To answer this, the abundant and versatile taxa– Rhodobacterales and Actinobacteriota, along with broader particle-attached (PA) vs. free-living (FL) bacterial assemblages of these Bays were analyzed using a multifaceted ‘omics approach.

The PA fraction, differing from the FL in taxonomy, distribution, functional potential and estimated growth rates across salinities, and bays harbored genes degrading complex aggregates, and surface attachment. The FL counterpart presented genes involved in nutrient uptake …

Application Of Artificial Neural Network Algorithms For Irrigation Scheduling, Lisa Umutoni

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Neural networks have been extensively used in predicting soil water tension for improved irrigation scheduling and management. However, their lack of interpretability constrains their efficacy in grasping the nuanced patterns prevalent in soil water tension time series data. The first goal of this research was to develop interpretable deep neural network models for soil water tension prediction across multiple soil depths (0.15m, 0.3m, 0.46m and 0.6m) and prediction horizons (1h, 6h, and 12h). The Neural Hierarchical Interpolation for Time Series (N-HiTS) and Neural Basis Expansion Analysis Time Series (N-BEATS) models were used in this research. Historical soil water tension data …

Assessing The Mental Health Benefits Of A School-Based Urban Gardening Program In Kosova, Imri Zabeli

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ABSTRACT

This study investigated the mental health benefits of a school-based urban gardening program for primary school students in Kosovo, where there is limited access to psychological support within educational settings. A quasi-experimental pretest-posttest control group design was employed, involving 112 students aged 9 to 11 from two public schools in Pristina, who were divided into an intervention group (n = 56) and a control group (n = 56). The intervention group engaged in an 8-week structured gardening program, while the control group followed the standard curriculum. Psychological outcomes were assessed using validated instruments, including the Perceived Stress Scale for …