Digital Commons Network^™

Making The Case For Historically Minoritized Students At Career Centers With A Focus On Agriculture, Janine Honey Sutter

All Dissertations

Historically minoritized students are still underrepresented in many Career and Technical Education (CTE) programs, such as agricultural education, even though these programs offer valuable academic, workforce, and postsecondary opportunities. This dissertation used Improvement Science to explore whether educator perceptions and communication practices played a role in this underrepresentation at Liberty Career Center. It also examined whether targeted informational interventions could help educators become more aware of and more positive about Career Center opportunities.

Following Improvement Science principles, the study used a continuous improvement approach to find system-level barriers and test new ways to improve communication between the Career Center and …

Teacher Self-Efficacy And Student Engagement In Rural Science, Technology, Engineering, And Mathematics Magnet Schools: A Correlational Study Within An Improvement Science Context, Deirdre L. Appleby

All Dissertations

Teacher self-efficacy in magnet-themed integration represents a critical, district-influenceable condition shaping instructional experiences in rural Science, Technology, Engineering, and Mathematics (STEM) magnet programs. Persistent under-enrollment of Black, Latinx, and economically disadvantaged students in these settings highlights ongoing inequities in access and participation that may be influenced by upstream instructional conditions. Grounded in Bandura’s Social Cognitive Theory and situated within an improvement science framework, this study examines teacher self-efficacy as a key system-level factor associated with student engagement.

This study employs a correlational research design within an improvement science context to examine the relationship between changes in teacher self-efficacy and changes …

Agent-Based Modeling Of Cellular Dynamics In Adoptive Cell Therapies, Yujia Wang

Dissertations and Theses (Open Access)

Adoptive cell therapies (ACT) have shown promising progress in combating cancer, but clinical responses remain heterogeneous. Key determinants, including the functional states of infused cells, tumor–immune interactions, and dosing strategies, are difficult to resolve experimentally in the dynamic and heterogeneous tumor microenvironment, limiting optimization of ACT products and treatment regimens. To address the gap, we developed ABMACT (Agent-Based Model for Adoptive Cell Therapies), a computational framework that reconstruct key cellular functions, interactions, and molecular signatures to recapitulate cell population dynamics associated with differential treatment responses. ABMACT encodes autonomous “virtual cells” using literature-informed rules calibrated with experimental data, enabling simulation of …

Transcriptional Regulation In The Uterine Luminal Epithelium, Evelyn A. Carrion

Dissertations and Theses (Open Access)

Transcriptional Regulation in the Uterine Luminal Epithelium

Evelyn A. Carrion

Advisor: Richard R. Behringer, PhD

Abstract

The uterus is an organ comprised of multiple tissues that are essential for women’s health and reproduction. The uterus is composed of multiple tissue layers, including the perimetrium, myometrium, and the endometrium. The endometrium is the inner lining of the uterus, and contains the luminal epithelium, glandular epithelium, and stroma. The luminal epithelium is a simple columnar layer of cells that is necessary for embryo implantation. The uterus is derived in part from the embryonic precursor tissue called the Müllerian duct. There are no …

From Geometry To Recognition: A Quantitative Framework For Tcr-Pmhc Structural Analysis In The Age Of Predicted Structures, Kun Hee Kim

Dissertations and Theses (Open Access)

Recognition of antigen by a T cell begins with a single physical event, the engagement of the T cell receptor (TCR) with a peptide-major histocompatibility complex (pMHC), and this interaction is encoded in the geometry with which the receptor docks onto the composite pMHC surface. Whether that docking geometry is biologically organized, and whether the structures now produced at scale by prediction preserve recognition or only reproduce that organization, are the two questions this thesis addresses. Two gaps stand in the way. The first is a gap of measurement, because docking geometry has never been made quantitatively comparable across many …

Low-Cost Modular Transradial Prosthetic System, Caleb E. Barajas

Master's Theses

Upper-limb loss can significantly impact overall quality of life by limiting  a person's ability to perform activities of daily living (ADLs). Although prosthetic devices can help bridge the gap, many upper-limb prostheses are limited by high costs, discomfort, limited repairability, and accessibility barriers. Current commercial myoelectric prosthetic hands can provide high levels of functionality, but are often expensive and require specialized clinical access. In contrast, many current low-cost and open source prosthetic devices improve affordability but are limited in function or designed for partial hand applications rather than full transradial limb loss.

The purpose of this thesis was to design, …

Development And Initial Testing Of Novel Microfabricated Soap Film Frames For Use In Studying Instability Mechanisms In Liquid Sheet Edges, Sam Hastings, Sam Hastings

Master's Theses

The breakup of retracting liquid sheet edges into droplets is governed by instability mechanisms that, in some ways, are not yet fully understood. Previous and limited experimental soap film retraction experiments using straight edges have produced results that differ from the behavior predicted by Rayleigh-Plateau and Rayleigh-Taylor instability models, suggesting that uncontrolled imperfections in traditional wire frames (used to form and detach the soap films) may influence film detachment and the subsequent edge instability observed. This thesis presents the development of a new experimental approach using microfabricated silicon wafer-based soap film frames to provide improved control over the initial conditions …

2025-2026 Internal Funding Bulleting, Uno Office Of Research And Creative Activity

Internal Funding Newsletters

The University of Nebraska at Omaha is committed to exceptional education, groundbreaking research, and the life-long success of our students, alumni, and faculty. The 2025-2026 Academic Year brought many exciting opportunities for us to invest in a multitude of funding programs that promote research and creative activity. This year’s internal funding programs provided over $850,000 in awards for students and faculty. Projects from a wide variety of disciplines reflect the UNO community’s scholarly interests, including utilizing a virtual reality headset to reimagine scenic painting for theater productions, exploring the factors influencing the adoption of generative AI tools in U.S. local …

Technique-Level Normalization For Cybersecurity Intelligence: An Empirical Evaluation Of Att&Ck Attribution From Hids Alerts Using Fine-Tuned Transformers And Metadata Re-Ranking, Emad Sherif

International Journal of Cybersecurity Intelligence & Cybercrime

Cybercrime investigations increasingly depend on the ability to interpret large volumes of automated security events. For organizations without dedicated security operations centres, a situation common among small and medium enterprises, the manual translation of raw alerts into structured threat intelligence represents a critical bottleneck that slows investigative triage and limits cross-case comparability. This paper evaluates an automated enrichment pipeline designed to address this bottleneck by mapping security events to standardised adversary behaviour labels drawn from the MITRE ATT&CK framework, supporting both operational response and cybercrime investigation workflows. We compare three pipeline configurations, a general-purpose encoder model, a cybersecurity domain-adapted variant, …

Evaluation Of Dredged Sediments As A Partial Replacement For Fine Aggregate In Mortar And Concrete, Ashish Gautam

Graduate Theses and Dissertations (2019 - present)

The feasibility of using dredged sediment from the Mobile River as a partial replacement for fine aggregate in mortar and concrete was investigated through a series of laboratory characterization and performance evaluation. Three dredged sediment samples (A, B and C) were initially examined, and Sample A was selected for further evaluation due to its closer resemblance to natural fine aggregate. This sample exhibited lower moisture content, higher sand equivalent values, higher specific gravity, and lower absorption. Mortar mixtures with 0, 10, 20, 30, 50, 75 and 100% dredged sediment replacement showed decreasing workability as the replacement level increased. The 20% …

Oak Savanna Expansion: Indigenizing Psu's Urban Landscape, Ash Herb

University Honors Theses

Since time immemorial Indigenous Peoples have resided in what is now named Portland of the Pacific Northwest in the Willamette Valley. For hundreds of years, this forested Land has been colonized, razed to stumps and covered in cement in order to build the urban landscape. Due to such destruction on a broad scale, we are experiencing the results of climate catastrophe. By finding ways to reclaim our relationship with Land and returning to Indigenous epistemologies, our urban landscape has the opportunity to shift towards restoration and prosperity. Indigenous plants have existed here, supporting humans in a reciprocal relationship, for thousands …

University Of Central Florida Undergraduate Catalog, 2025-2026, University Of Central Florida

UCF Catalogs

No abstract provided.

Indigenous Community Research Opportunities, Sharon Hausam, Aaron M. Canter

Faculty Publications

This is a working paper produced as part of National Science Foundation project #2115169, “Transforming Rural-Urban Systems: Trajectories for Sustainability in the Intermountain West,” known as the “Intermountain West Transformation Network” (TN), led by the University of New Mexico with institutional partners at three additional universities in New Mexico, two in Arizona, and one each in Utah, Colorado, and Washington. The TN’s Indigenous and Tribal engagement was supported through a contract with Dr. Sharon Hausam, additional work by Aaron M. Canter, coordination with Dr. Lani Tsinnajinnie, and an Advisory Committee on Indigenous Information Needs primarily comprised of Indigenous representatives in …

The Association Between Apoe Genotype, Race, And Dementia: An Analysis Of 7 Population-Based Cohort Studies, Natalia Lakomski, Katherine Giorgio, John Stephen, Maxwell Mansolf, Aïcha Soumaré, Alden L Gross, Allison E Aiello, Archana Singh-Manoux, M Arfan Ikram, Catherine Helmer, Claudia L Satizabal, Deborah A Levine, Donald M Lloyd-Jones, Emily M Briceño, Farzaneh A Sorond, Frank J Wolters, Jayandra J Himali, Lenore J Launer, Djass Mbangdadji, David Li, Lihui Zhao, Oscar L Lopez, Stéphanie Debette, Sudha Seshadri, Suzanne E Judd, Timothy M Hughes, Vilmundur Guðnason, Michael Griswold, Paul S De Vries, Alison Fohner, Pamela L Lutsey, Rachel Zmora, Elizabeth A Peterson, Denise Scholtens, Norrina B Allen, Sanaz Sedaghat

Faculty, Staff and Student Publications

Background and objectives: The apolipoprotein E (APOE) haplotypes are known to be associated with dementia, with the ε4 haplotype associated with higher risk. It has been suggested that the APOE ε2 allele serves as a protective factor for dementia. However, data on the effects of the homozygous APOE ε2/ε2 genotype are limited, likely due to the rarity of the APOE ε2/ε2 genotype. Furthermore, the association between APOE genotypes and dementia may differ across self-reported race. We aim to investigate the association between APOE genotypes and dementia overall and across self-reported race, with a focus on the potential protective …

Effects Of Beverage Color During Mouth Rinsing On Measures Of Muscular Endurance, Muscular Strength, And Exercise Perceptions During Isometric Handgrip Testing, Sydney Andrews

Exercise Science Theses & Dissertations

Previous research has shown that color can influence psychological responses, physiological responses, and exercise performance. These effects have been previously attributed to learned associations or expectations which may influence exercise-related outcomes. This study aimed to investigate whether beverage color influences muscular performance during intermittent isometric handgrip exercise. This randomized, single-blind, deceptive crossover study consisted of 34 physically active adults (21.9±3.1 years) who completed a handgrip endurance test under three conditions: red beverage rinse, clear beverage rinse, and no-rinse. Participants were informed that the study would examine the effects of mouth rinsing two commercially available carbohydrate containing sport drinks on muscular …

Navigating The Dark Side: Emotional Labor's Impact On Hr Professionals' Wellness, Esmeralda Amelia Rendón

Electronic Theses and Dissertations

This qualitative descriptive study was designed to document and describe how female-identifying human resource (HR) generalist practitioners serving as sole or primary employee relations practitioners in small- to medium-sized organizations across the United States experience and manage emotional labor in their roles, cope with its demands, and how these experiences impact their wellness and perceptions of organizational support. Despite the centrality of emotional labor (EL) in human resource professionals’ (HRPs) roles, little was known about how HRPs in these underresourced environments cope with these demands. Data were collected through semistructured virtual interviews with eight participants and analyzed using Braun and …

Effective Strategies To Improve Ai Governance And Regulatory Compliance, Mursal Haroon

Walden Dissertations and Doctoral Studies

Senior business leaders across sectors face increasing risks because many organizations lack effective strategies to ensure transparency and regulatory accountability in artificial intelligence (AI) governance. This problem is critical for industry leaders who rely on transparent and compliant AI systems to protect consumers and maintain operational stability. Grounded in the ethical usage of AI systems, the purpose of this qualitative pragmatic study was to explore effective strategies senior business leaders use to improve transparency and regulatory accountability in AI governance. The participants were six senior business leaders in the United States who successfully implemented such strategies. Data were collected through …

Tidally Driven Topographic Eddies Exploited By Manta Feeding Aggregations, Harvey Cairns, Daniel Conley, Christopher Stokes, Tim Scott, Philip Hosegood

School of Biological and Marine Sciences

The seasonal feeding aggregations of reef manta rays (Mobula alfredi) in Hanifaru Bay, Maldives, are the largest known of their kind, yet the mechanisms facilitating this phenomenon remain poorly understood. Understanding these drivers is crucial for effective conservation and management, as protecting key foraging habitats requires knowledge of the physical processes influencing prey availability. While previous studies highlight the role of zooplankton in attracting manta, the oceanographic mechanisms responsible for concentrating prey within the bay remain hypothesised but unproven. Specifically, the influence of eddy dynamics, tidal forcing, and regional circulation on zooplankton distribution has not been thoroughly examined.A …

Edge-Native Multi-Agent System For Latency-Critical Anomaly Detection And Qos Optimization In 6g Smart Manufacturing, Ndidi Nzeako Anyakora

All Dissertations

The increasing reliance on wireless connectivity in smart manufacturing places stringent demands on network latency, reliability, and adaptability that exceed the capabilities of static or threshold-based quality-of-service (QoS) control mechanisms. While 5G standalone networks support industrial deployments, emerging 6G environments are expected to introduce greater variability, tighter latency constraints, and increased performance degradation, necessitating autonomous, learning-driven control strategies.

This dissertation proposed an intelligent multi-agent framework for real-time anomaly detection and QoS optimization in industrial wireless networks by integrating edge-based monitoring, unsupervised anomaly detection, and reinforcement learning-driven control. Network telemetry collected from a Firecell 5G standalone testbed served as an empirical …

Advancing The Hardware Realization Of Swinir Functions, Samuel Opoku Aboagye

All Dissertations

Image enhancement is a critical component of modern intelligent systems, including medical imaging, remote sensing, autonomous navigation, surveillance, industrial inspection, and lowlight vision applications. Recent transformer-based image restoration networks have demonstrated significant improvements over traditional convolutional approaches by leveraging self-attention mechanisms to capture long-range feature dependencies. The computationally intensive attention mechanism is typically executed prior to later convolution and reconstruction stages. Among these architectures, SWINIR has emerged as a state-of-the-art framework for image restoration and super-resolution. However, the computational complexity of transformer operations, present significant challenges for deployment on resource-constrained FPGA (Field Programmable Gate Array) platforms.

This dissertation investigated hardware-efficient …

Why They Stay: Career Development, Personal Growth, And The Retention Of Higher Education General Staff, Ursula Brady

All Dissertations

Higher education general staff (HEGS) are critical to the operational continuity and institutional success of U.S. colleges and universities, yet their retention remains a persistent challenge. While faculty development has received sustained attention, HEGS have historically lacked equivalent access to career advancement and personal growth opportunities. This study examined how perceived access to career development and personal growth opportunities was associated with job satisfaction and turnover intention among HEGS and tested whether job satisfaction mediated these relationships. Grounded in Self-Determination Theory and Herzberg's Two-Factor Theory, this study hypothesized that career development and personal growth would predict turnover intention both directly …

Shared Identity, Shared Trust: How Cultural Sensitivity Signaling And Advisor Race Shape Minority Investors' Trust And Investment Intentions, Kathy J. Kuria

All Dissertations

Persistent racial disparities in stock market participation constrain wealth accumulation among African American and Latino households. This study examined how two forms of representation, a firm’s cultural-sensitivity disclosure (an organizational signal) and the advisor’s racial identity, shape trust and investment intentions among these groups. Drawing on social identity theory, signaling theory, and the impression-formation/stereotype-reconciliation literature, this study hypothesized that disclosure and a minority advisor independently increase trust, that the cues would be complementary, and that trust would mediate their impact on investment intentions. A 2 × 2 between-subjects experiment with African American and Latino adults tested predictions using ANOVA, ANCOVA, …

Criticality In A Heterogeneous Neutron Transport Rod Model, Samuel Kaleb Crowford

All Graduate Reports and Creative Projects, Fall 2023 to Present

This work studies the stochastic behavior of neutron populations in a one-dimensional rod model using Monte Carlo simulation. The first part of this project reproduces the computational results of Dumonteil, Horton, Kyprianou, and Zoia (2025) by independently implementing the Monte Carlo algorithm described in their article, with the asymptotic behavior of the first moment analyzed in relation to the dominant eigenvalue and adjoint eigenfunction of the neutron transport operator. The model is then extended to a heterogeneous setting by introducing a central region where fission is suppressed. A global expectation over initial positions and directions is used to estimate the …

A Patch-Level Framework For Urban Vegetation Water Demand Estimation Using Remote Sensing And Deep Learning, Jesus Daniel Pereyra Manriquez

Open Access Theses & Dissertations

Urban water management in semi-arid regions requires an improved understanding of how vegetation and climatic conditions influence landscape water demand. Existing approaches often lack an integrated, spatially consistent framework to quantify this relationship at fine scales. This study proposes a patch-level framework to estimate relative landscape water demand by integrating vegetation coverage, vegetation condition, and atmospheric demand. Vegetation coverage is derived from high-resolution imagery obtained from the National Agriculture Imagery Program (NAIP) using a U-Net segmentation model with a MobileNetV2 backbone. A patch-based representation is used to ensure spatial consistency across the study area. Seasonal vegetation dynamics are captured using …

Domain Adaptation Of Facial Age Estimation For Law Enforcement Mugshot Repositories, Jorge Alejandro Pacheco Roque

Open Access Theses & Dissertations

Facial age estimation supports law enforcement via image-based, age-filtered queries, age-progressive re-identification, and bulk record labeling, where prediction accuracy determines if the resulting decisions can be trusted. State-of-the-art models excel on web imagery but incur higher error on mugshots due to domain shift between the professionally lit, filtered, and posed web photographs used during pre-training and the uniform backgrounds, uncooperative expressions, and decades of evolving capture technology found in mugshot collections. We address this gap by adapting SwinFace - a state-of-the-art multi-task Swin Transformer with public code and pretrained weights, trained on color face imagery for face recognition, facial expression …

Dlc Thin Films For Semiconductor Applications, Balam Arturo Sotelo

Open Access Theses & Dissertations

The growing need for resilient semiconductor supply chains has increased the interest in developing local and accessible materials fabrication strategies. Since large-scale semiconductor manufacturing is complex to establish quickly, simpler deposition techniques may provide a practical route to start developing semiconductors materials. Diamond-like carbon (DLC) is a promising candidate in this context because its properties can be tailored through substrate selection and processing parameters.

This thesis establishes an initial framework for the study and fabrication of diamond-like carbon (DLC) materials in the Department of Physics at The University of Texas at El Paso. DLC thin films were deposited by magnetron …

Stabilized Continuous Galerkin Methods For Heat Transport In Fully Coupled Nonlinear Thermo-Poroelasticity In Heterogeneous Porous Media, Payel Dey

Open Access Theses & Dissertations

This thesis focuses on the numerical approximation of a coupled Thermo-Hydro-Mechanical (THM) model with advective heat transport in heterogeneous media. The governing equations consist of three coupled equations: the momentum balance, the fluid mass balance, and the energy balance. The primary unknowns are displacement, pressure, and temperature. In this system, the fluid pressure determines the Darcy flux, and this flux transports heat through the advective term in the energy equation. Since the Darcy flux is computed numerically from the flow equation, the conservation properties of the flow approximation can affect the temperature solution. This effect is especially important when thermal …

A Verification And Validation Framework For Model-Based Systems Engineering Using Executable Architecture Models And Integrated Simulation, Michael O. Cruz

Open Access Theses & Dissertations

Model-Based Systems Engineering (MBSE) reaches its full value when architecture does more than describe a system. It should help engineers carry stakeholder need and system intent into executable analysis, preserve the configuration and criteria used, and return evidence that can be reviewed in the same architecture context. This dissertation develops and evaluates a seven phase, architecture-driven verification and validation framework for that purpose. The framework defines the responsibilities that connect SysML architecture, controlled execution, domain simulation, configuration management, persistent data, analytics, and accountable engineering review. A reusable Cameo/SysML digital test environment plugin provides the reference implementation for orchestration and model …

Optimization Of A Cryogenic Electrical Characterization System And Its Application To Thermal Admittance Spectroscopy, Angel Efren Garcia

Open Access Theses & Dissertations

Defect characterization in semiconductors relies on locating trap levels through the temperature dependence of carrier emission, which makes the accuracy of the device temperature a limiting factor in every extracted parameter. This work addresses the limitations in the cryogenic electrical characterization system at The University of Texas at El Paso, where Deep-Level Transient Spectroscopy (DLTS) had been established but produced activation energies that disagreed with literature values by as much as 0.33 eV. The discrepancy was traced not to the technique but to the transfer of heat to packaged devices in a probe station designed for on-die measurement. The cryogenic …

A Hybrid Machine Learning-Based Feasibility Prediction Of 3d Mechanical Designs Using Scalar And Geometric Features, Md Mohsin Uddin Fahim

Open Access Theses & Dissertations

The computational bottleneck of structural feasibility screening frequently hinders the transition from a digital 3D model to a physically manufactured component. Traditionally, engineers have relied on either overly rigid heuristic constraint checks or computationally exhaustive finite element simulations. To address this inefficiency, this thesis proposes and validates a hybrid machine-learning framework to predict the structural manufacturability of 3D mechanical designs. Moving beyond the conventional reliance on isolated scalar parameters, the proposed methodology extracts and integrates both scalar manufacturing constraints (e.g., tolerance, minimum feature thickness) and spatial geometric descriptors (e.g., bounding volume, aspect ratio) directly from STL mesh data. Utilizing a …