Digital Commons Network^™

Transform-Based Quantum Potential Reconstruction From Sparse Spectral Data: Generalized Bertlmann-Martin Moment Inequalities, Matthew Plott

Masters Theses and Doctoral Dissertations

Inverse quantum problems ask whether a central potential V(r) can be reconstructed from limited spectral information under explicit modeling assumptions. This dissertation develops and validates a reproducible, transform-based framework for reconstructing ground-state radial densities rho(r) = |R(r)|^2 and central potentials V(r) from discrete bound-state energy levels using generalized Bertlmann-Martin (GBM) moment inequalities as physics-informed constraints. In the Laplace route, L(q) is assembled from moment data and inverted numerically to recover rho(r). In the Fourier/form-factor route, even moments determine F(q) and inverse transformation yields rho(r). To support sparse spectral inputs, analytic continuation is performed with Pade approximants, and the framework is …

Loneliness And Social Support In Shift Work Employees, Jacob Lamprecht

Masters Theses and Doctoral Dissertations

Loneliness, a discrepancy between the desired quantity and quality of one’s relationships and their current relationships, has been connected to increases in mortality, as well as lower job performance, reduced job satisfaction, and increased burnout. However more recent studies indicate that the recipient may not always perceive the support as beneficial, resulting in “unhelpful social support. The present study examined how helpful and unhelpful social support relate to loneliness among healthcare shift workers, a population that may be prone to fatigue and health risks. I hypothesized that helpful support would be negatively related to loneliness and that unhelpful support would …

Supervisor-Focused Impression Management And Social Undermining As Self-Enhancing Responses To Perceived Job Insecurity, J. Luke Wiley

Masters Theses and Doctoral Dissertations

Job insecurity has become a more prevalent and harmful issue across many advanced economies. The present study was designed to investigate two ways in which employees may respond to perceived job insecurity. We hypothesized that employees experiencing job insecurity engage in impression management tactics directed at their supervisor (SFIM) or social undermining tactics directed at their coworkers. We further hypothesized that these processes or effects were moderated by employees’ core self-evaluations (CSE). Data were gathered through targeted sampling to workers in the federal government (Sample 1, N = 91), as well as convenience sampling (Sample 2, N = 146). Results …

Dean's Research Newsletter, May 2026, Neil W. Schluger

SOM Dean's Research Newsletter

No abstract provided.

Ptsd, Policy, And Passion: An Advocate's Autoethnographic Journey To Improve Veteran Care, Christopher L. Stansbury

Dissertations

                                                                Abstract

This autoethnographic study focuses on Post-Traumatic Stress Disorder (PTSD) among U.S. veterans and the policies and practices that impact life outcomes. The research answers the questions: (1) what insights emerge from the author’s embedded advocacy experience; (2) what systemic barriers impede veterans’ access to PTSD treatment; and (3) how does military culture shape help-seeking behavior. This research draws on the author’s multigenerational and institutional ties to military service—as descendant of a Korean-era veteran, Marine and Army servicemember, VA employee, and veteran advocate. The researcher constructs detailed autoethnographic and composite narratives of the lived experiences of service members who develop …

Navigating Recovery: A Qualtitive Study Of Harm Reduction And Sobriety Among African American In Redlined Chicago Neighborhoods, Erica N. Tate

Dissertations

This qualitative study examines the lived experiences of African American individuals residing in historically redlined communities in Chicago who are maintaining sobriety using harm reduction strategies. Grounded in the context of structural inequities, the study explores how social determinants of health, including limited healthcare access, transportation barriers, and community disinvestment, shape recovery pathways. Semi-structured interviews were conducted with individuals in sustained recovery and providers, and the data were analyzed using inductive and deductive thematic approaches. Findings indicate that recovery is an ongoing process influenced by environmental exposure, trauma, and access to support systems.

Participants identified harm reduction strategies, such as …

Attachment And Betrayal: Post-Infidelity Attachment Issues With A Focus On Gender, Taylor Forsythe

Electronic Theses and Dissertations

Infidelity represents a significant relational trauma that may disturb attachment processes such as trust, emotional intimacy, and closeness. There is a gap in the literature on how different infidelity exposures may relate to these attachment responses; more so, there is a dearth of information on the gender differences for attachment issues following any kind of infidelity. The purpose of this study aimed to examine differences in avoidant and anxious attachment across infidelity groups (no infidelity, non-sexual infidelity, sexual infidelity), and a further comparison of gender differences in those groups. Participants (N = 151) completed online surveys in a larger study …

Voices Of A New Era: A Discursive Psychology Study Of Influencer-Follower Discourse On Tiktok, Andrea Guerrero Hernandez

Electronic Theses and Dissertations

The present study researched and investigated the discourse of five mega fashion influencers on TikTok, as well as the discourse of 15 followers engaging with fashion influencer content on the same platform. The theory used to guide this study was discursive psychology theory, which provided the groundwork for understanding how both influencers and followers position their identities, justify their actions and decisions, and construct their reality. The primary aim of this research is to deepen understanding of how influencer discourse shapes follower discourse, identifying recurring patterns, contradictions, and the ways in which tensions are negotiated. The findings reveal a range …

Timing Of Parental Divorce And Spiritual Behavior In Young Adulthood: A Quantitative Study, Marcus A. North

Electronic Theses and Dissertations

Background: While the literature on divorce and its impacts on children currently is quite robust, additional information can be contributed to specific factors that impact spiritual outcomes later in life. This research study sought to investigate the relationship between a child’s age at the time of their parents’ divorce and their subsequent spiritual behavior in young adulthood.

Methods: Cross-sectional survey was created, utilizing two previously validated instruments: Daily Spiritual Experiences Scale (DSES) and the Centrality of Religiosity Scale (CRS-15). The survey was administered online through Qualtrics software; participants were recruited through non-random purposive sampling, as well as participant snowballing.

Results: …

Senior-Level Administrators’ Perceptions Of Deliberately Developmental Organization Principles And Employee Retention At Historically Black Colleges And Universities (Hbcus), Caprinia L. Taylor

Electronic Theses and Dissertations

Historically Black colleges and universities (HBCUs) have faced persistent challenges retaining qualified faculty and staff, threatening the environments they are uniquely positioned to create. High turnover, limited professional development, and inadequate support undermine employee well-being and student outcomes. This qualitative phenomenological study explored senior-level administrators’ perceptions of deliberately developmental organization (DDO) principles and their relevance to employee retention at HBCUs. Guided by DDO and organizational culture theory, the study examined how leadership practices, professional development, psychological safety, and organizational culture intersect with retention and belonging. Data were collected through semistructured interviews with participants across diverse HBCU contexts. Participants were selected …

Modernizing United States Marine Corps Enlisted Professional Military Education: Benefits Of Transitioning From Industrial To Technological Learning, Michael W. Hensley

Electronic Theses and Dissertations

Within organizational and societal contexts, there persists a belief that technologically infused asynchronous or synchronous educational programs, such as online, blended, or seminar-style formats, are inferior to in-person courses. Despite recent shifts in attitude caused by factors like the COVID-19 pandemic and global threats, the perception of such programs as substandard remains prevalent. This dissertation addresses the necessity of researching the applicability and benefits of these formats, particularly within the United States Marine Corps Enlisted Professional Military Education programs. Emphasizing the potential enhancement of warfighting abilities and leadership skills, this research investigates how technology-based educational programs can benefit enlisted marines …

A Catalogue Of Orbital Periods Of Cataclysmic Variables And Candidates From Tess Observations, Meryem K. Dag, Simone Scaringi, Kieran O’Brien, Martina Veresvarska, Nikita Rawat, Yusuke Tampo, Santiago Hernández-Díaz, Liliana Rivera Sandoval, Wendy Mendoza, Ryan J. Oelkers, Jan Kára

Physics & Astronomy Faculty Publications

We present a systematic analysis of 2544 cataclysmic variable systems and related candidates observed by the Transiting Exoplanet Survey Satellite (TESS), with the aim of compiling a comprehensive catalogue of orbital periods. Using 2-min photometric time-series data, we applied an automated algorithm to generate Lomb–Scargle periodograms and identify the most significant coherent periodic signals, which were subsequently verified through visual inspection. This process yielded a confident sample of 910 sources exhibiting at least one periodic signal, hereafter referred to as the Cataclysmic Variable Confident Catalogue (CCC). For each object, we report the most likely orbital period together with …

Recruiting And Retaining Teachers In A Rural School District: A Case Study, Gerald J. Bavero

Dissertations

         This exploratory case study aimed to understand the specific strategies that rural school leaders employ to address the challenges associated with recruiting and retaining teachers in rural schools.  It sought to understand the effectiveness of these strategies within the unique economic and cultural landscape of South West County and to identify practices that could inform broader educational policy and practice in this and similar rural settings.  A qualitative case study approach utilizing semi-structured interview questions was conducted to discover what teacher recruitment and retention strategies school leaders implement and how teachers perceive these strategies.  Findings indicate both formal and informal …

A Phenomenological Study Of Teachers Who Use Oral Reading To Foster Student Reading Fluency And Engagement, Donyetta Grimes

Dissertations

The National Reading Panel (2000) recommends oral reading instruction as a means to improve overall reading fluency and reading comprehension. Oral reading fluency is a necessary foundational skill, and students who have not mastered it by the end of third grade, when students transition from learning to read to reading to learn, become struggling adolescent readers (Ming, 2018). Furthermore, there is a lack of research on reading fluency past the primary grades (Makebo et al., 2022). Additionally, research gaps exist when considering teachers’ actual practices during reading instruction (O’Sullivan et al., 2009). This gap is particularly concerning considering that teachers …

Restorying The Reader: Adolescent Narratives Of Identity, Context, And Motivation, Jennifer R. Gardner

Dissertations

This present study examined how adolescents narrate their reading experiences and what those narratives reveal about reading identity, motivation, and engagement. This study responds to a persistent problem in literacy education: adolescent reading is often framed through disengagement or reduced to isolated constructs, while students’ lived reading experiences across school, home, digital, linguistic, and social contexts remain underexamined. Guided by Self-Determination Theory, Intersectionality, and Reader Response Theory, this study centers on adolescent voices and treats these participants’ stories as the primary avenue of understanding how they experience and interpret their reading lives and selves. Data were collected through narrative interviews, …

Science For All: Utilizing Native And Everyday Language To Increase Academic Performance And Student Engagement For High School English Language Learners, Lashanda K. Whitworth

Dissertations

In public high schools across the U.S. high stakes assessments are seen as a lever to facilitate high-quality education and to gauge student learning. English Language Learners are mainstreamed into content classes and despite having low English proficiency scores are expected to perform as well as English first students and are required to take district and state mandated biology assessments. At the research site, ELLs comprise 25% of students and consistently score below the other subgroups in biology. This quasi-experimental study tested whether using disaggregate instructional strategies—incorporating ELLs’ native and everyday language—increases learning gains, academic growth, and engagement in a …

Traumatic Stress Recruits An Excitatory Orbitofrontal-Amygdala Pathway To Drive Maladaptive Aggression, Mikaela Aholt

Theses

Traumatic stress is a reliable predictor of heightened aggression, yet the mechanisms linking stress exposure to aggression remain poorly understood. The Nordman lab previously found that traumatic stress activates the posterior ventral segment of the medial amygdala (MeApv) to drive persistent increases in aggressive behavior. However, why traumatic stress would engage an aggression-promoting pathway is unclear. To address this, the inputs to the MeApv were mapped and a population of excitatory, but not inhibitory, neurons in layer 5 of the medial orbitofrontal cortex (mOFC) were identified. The OFC is classically viewed as an inhibitory brake on amygdala-driven impulses, yet emerging …

Evaluation Of Otolith Microchemistry For Identifying Walleye Stocked As Fry Or Fingerlings, Joshua Fluur

Theses

Walleye (Sander vitreus) is a popular sport fish whose populations are often supported by maintenance or supplemental stocking, with most fish stocked as fry, fingerlings, or advanced fingerlings. Evaluation of stocking efficacy is important to inform decisions regarding fish stocking rates and sizes and allocating hatchery fish to locations where maintenance or supplemental stocking is most needed. Several types of artificial tags or marks have been proven useful in the identification of stocked fish, but they often have various drawbacks. Natural chemical markers in otoliths offer several advantages compared to conventional tags or marks and can be used to identify …

The Making Of Shi'a Resistance In Afghanistan: Historical Roots, Communist Rule, And Soviet Occupation, 1978–1989, Sayed Sajjad Hojet

Theses

This thesis examines Shi'a political mobilization in Afghanistan from the 1978 Saur Revolution through the Soviet occupation, ending in 1989. It argues that Shi'a resistance was not simply a religious reaction to Marxist rule but a complex movement shaped by long-term marginalization, influenced by rival political ideas, and connected to cross-border networks in Iran. It traces how persecution under Amir Abdurrahman Khan created a system of political exclusion that shaped Shi'a collective identity before the communist takeover, and how ideologies such Marxism and Political Islam further politicized Shi'a youth in the mid-twentieth century. The PDPA's coercive policies after 1978 helped …

Deep Reinforcement Learning-Based Equitable Post Disaster Resource Allocation Incorporating Social Vulnerability, Trevor John Mogaka

Theses

Prior Deep Reinforcement Learning (DRL) approaches frame post‑disaster recovery as a sequential decision-making problem over infrastructure elements, using graph-based system models and resilience-oriented rewards. This thesis builds on an existing DRL framework by introducing a modified CDC Social Vulnerability Index (mCDC-SVI), developed using Max-min scaling, to quantify social vulnerability.A synthetic interdependent infrastructure testbed is divided into four socio‑economic regions using federal poverty and SNAP eligibility guidelines. The DRL simulation and Deep Q‑Network architecture are retrained under a multi-objective reward function that is efficiency-equity weighted (α:β). Agents are evaluated across unconstrained and constrained budget scenarios to examine how varying α and …

Relationships Between Therapists And Diverse Children's Populations And Their Effects, Brenda Sanchez Vega

Undergraduate Honors Theses

Roughly around 13.8% of children and adolescents in the United States receive some sort of counseling or therapy; the main focus of the research is on racial/ethnic minoritized children. Because APA’s ethical codes don’t address all possible situations, positive client-therapist relationships are bound to develop, including dyads or dual relationships, improving treatment progress. With the United States continuing to grow in diversity, there’s still a big gap in the literature surrounding minority children in therapy. Speculating if therapy approaches are used effectively for all children, including minoritized children. Based on past research already conducted, developing a positive client-therapist dual relationship …

Expressive Suppression Within Male Blue-Collar Coloradans, Kelsi C. Smits

Undergraduate Honors Theses

Blue-collar workers are a population that impacts nearly everyone who interacts with modern infrastructure.  Although they are crucial to modern life they are a population that is not widely researched or understood. This study aims to gain a more robust understanding of blue-collar workers by investigating male blue-collar workers in Colorado. This study will investigate how male blue-collar workers regulate their emotions. Emotional regulation will be measured using the Emotional Regulation Questionnaire. It is hypothesized that male blue-collar workers within Colorado will show that emotional suppression is a used emotional regulation tactic. It is essential to understand this because emotional …

Unified Deep Learning Techniques For Spatial Detection And Temporal Forecasting Across Visual Domains, John Olawale Olamofe

All Dissertations

This dissertation proposed a unified deep learning framework for spatial detection and temporal forecasting across visual domains, designed to address limited supervision, class imbalance, and scale variability. The framework was structured around four complementary principles: Domain-Aware Input Rebalancing, Representation-Centric Learning, Diversity-Driven Robustness, and Transfer Across Scale and Modality, which together enabled robust visual representation learning across heterogeneous data sources.

Domain-Aware Input Rebalancing mitigates non-uniform and sparse data distributions by actively reshaping inputs before learning via class-aware augmentation, sampling, resolution manipulation, and super-resolution. This principle underpins object detection in overhead satellite imagery (xView), dense urban aerial scenes (CADOT), temporally sparse NDVI …

Software Integration In Personal Healthcare Devices And The Patient User Experience, Yassine Chahid, Patrick Slattery

Publications and Research

This study examines the current landscape and future direction of medical device hardware and software integration, focusing on how each contributes to patient care. It begins by analyzing hardware focused medical devices, such as implantable tools patients may rely on to assist with their condition, alongside diagnostic and monitoring equipment used to treat conditions in a variety of medical areas (e.g. cardiovascular conditions). It then evaluates how software is currently integrated through embedded systems, data processing, and user interfaces that support real time monitoring and clinical decision making, and how this impacts quality of care for the patient whilst minimizing …

Molecular Mechanisms Of Pfas Induced Protein Dysfunction: Implications For Neurodegenerative Risk, Daisy Lee Wilson

Open Access Theses & Dissertations

Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants with widespread human exposure and well-established links to adverse health outcomes. However, despite increasing epidemiological and experimental evidence, the molecular mechanisms underlying PFAS-induced neurotoxicity remain incompletely defined. This dissertation investigates PFAS toxicity across biological scales, integrating protein biophysics with neuronal cell models to elucidate pathways relevant to neurodegeneration. At the molecular level, we demonstrate that PFAS disrupts the structure and function of globular proteins, including the impairment of α-lactalbumin's calcium-binding capacity and of β-lactoglobulin's retinol binding, through concentration-dependent conformational destabilization. By applying these findings to a neuronal model, we show that …

Riemannian Manifold-Coupled Joint Sparse Graphical Models For Spatially Structured Precision Matrix Estimation, Abdul Rahman Adam

Open Access Theses & Dissertations

This thesis introduces a novel geometry-aware framework for joint precision matrix estimation in spatially structured data. Unlike existing joint Gaussian graphical model estimators that rely on Euclidean coupling mechanisms such as fused or group graphical lasso, our approach incorporates intrinsic Riemannian geometry through geodesic distance penalties on the symmetric positive definite manifold.

The method measures similarity between precision matrices of adjacent spatial regions using the affine-invariant Riemannian distance, capturing deformations of concentration ellipsoids rather than entrywise differences. This is particularly suited for spatial transcriptomics, where regions may share dependence structures despite differences in scale or composition.

An efficient Alternating Direction …

A Systems Engineering-Based Method For Enabling Digital Transformation In A Binational Small Healthcare Enterprise, Manuel Adrian Alvarez Ramirez

Open Access Theses & Dissertations

The year 2020, often described as "the great accelerator" for emerging technologies, marked a period of significant transformation in lifestyles, work patterns, and business strategies. For instance, online meetings have become more convenient than in-person interactions, even with colleagues in neighboring offices. For small businesses, rapid regulatory and technological changes required swift adaptation, including the acquisition of new technologies, tools, and software to ensure survival. This transition also necessitated adopting indirect engagement, revising communication protocols, and digitally transforming information. Small and Medium-sized Enterprises (SMEs) in essential service sectors face also a fundamental paradox: their dependence on the skills, relationships, and …

Comparative Case Studies Of How General Chemistry Ii Students Explain Entropically-Driven Phenomena, Raymundo Aragonez

Open Access Theses & Dissertations

Understanding how students conceptualize entropy remains a central challenge in chemistry education. Often referred to as a "driving force" of chemical reactions, the dispersal of energy as a process proceeds is indicative of a process's spontaneity or thermodynamic favorability. Students frequently default to discussing phenomena in deterministic terms, potentially reflecting the language choice and heuristics selected by the instructor such as "disorder". In this study, assessment prompts about entropy from a convenience sample of general chemistry textbooks were characterized as to their potential to elicit three-dimensional learning, and students' responses to assessment prompts from a curriculum aligned with three-dimensional learning …

Automated Arctic Coastal Boundary Extraction From Multispectral Satellite Imagery, Harshavardhini Bagavathyraj

Open Access Theses & Dissertations

Arctic coastlines are changing rapidly as permafrost thaw and coastal erosion accelerate under a warming climate, creating a need for accurate and scalable methods to monitor landscape change. Two geomorphically important indicators of this change are the shoreline, which represents the land--water boundary, and the bluff edge, which marks the transition from vegetated tundra to the coastal slope or cliff. However, delineating these features from high-resolution imagery remains challenging because Arctic scenes are spatially extensive and visually complex. In this study, we address these challenges by developing deep learning methods for automated shoreline and bluff-edge extraction from high-resolution satellite imagery …

Bayesian Deep Learning For Photovoltaic Power Forecasting: A Probabilistic Framework For Uncertainty Quantification And Grid Reliability Optimization, Pablo Abraham Bustamante

Open Access Theses & Dissertations

The global energy landscape is undergoing a profound transformation, driven by the urgent need to decarbonize power systems, enhance energy security, and meet growing electricity demands. Solar photovoltaic (PV) power has emerged as a critical component of future energy infrastructure due to its abundance, scalability, and cost-effectiveness. However, PV generation is inherently variable and weather-dependent, introducing significant uncertainty into grid operations and complicating the task of balancing supply and demand. Accurate forecasting of PV power generation-particularly on day-ahead and hour-ahead horizons-has become a strategic necessity for grid stability, economic efficiency, and environmental sustainability. PV output is influenced by numerous factors, …