Digital Commons Network^™

An Income Subsystem As A Discrete Stochastic Leslie System: A Simulation-Based Approach, Fahd Nii Okantah Cobblah

Electronic Theses and Dissertations

This thesis formulates the household-income engine of an integrated population sim- ulator as a Discrete Stochastic Leslie System (DSLS). The nonnegative state vector nt ∈ Rk + aggregates income, savings, debt, employment, and transfers. (Here, the subscript + denotes the positive cone, i.e., vectors with nonnegative components). Annual evolution is linear in state, stochastic in coefficients: nt+1 = Ttnt + εt, with Tt : Rk + → Rk + cone-preserving. Exogenous macro drivers (inflation, employment, tax, salary inflation, mortgage) are forecast via ARIMA; forecasts multiply entries of Tt, preserving linearity in expectation while introducing realistic temporal correlation. The discrete-event implemented …

Operation Paperclip And The Use Of National Security: Si Vis Pacem, Para Bellum, Kirsten Hawkins

War, Diplomacy, and Society (MA) Theses

National security is a term that many are familiar with in the twenty-first century. In the United States it is commonly believed that its widespread use began after the attacks on the World Trade Center in New York on September 11, 2001. However, this work examines how the United States government has used the term and changed its definition in its application during Operation Paperclip. Operation Paperclip was a Second World War operation created to secure the scientific and technical research of German scientists at the end of the war in 1945.

This thesis examines Operation Paperclip and its expansion …

Towards Trustworthy Federated Learning, Alina Basharat

Theses and Dissertations

Federated learning is a collaborative training model in which multiple clients optimize aglobal model by transmitting updates to a coordinating server while keeping raw data on-device, thereby reducing direct data exposure and enabling iterative global improvement. However, the iterative communication process is vulnerable to malicious attackers that either deliberately destroy the model or curious to infer raw data. Moreover, learning from multiple agents may result in unfair results. To enhance trustworthiness within this setting, we employ two-sided norm-based screening (TNBS) that removes both abnormally large and abnormally small updates, pair it with a q-fair objective to emphasize high-loss (disadvantaged) clients, …

When Textures Trim Drag: Micro-Structures For Adaptive Drag Reduction And Flow Authority, Miguel Angel Olvera

Theses and Dissertations

Turbulent boundary layers are a major source of drag and performance loss. This thesis investigates Triangular Porous Texturing (TPT), apex-forward microstructures with optional bleed channels, as a passive concept for simultaneously reducing skin friction and strengthening boundary layer momentum near separation. Low-speed wind tunnel tests are conducted over tripped turbulent boundary layers on flat plates with three surfaces: a smooth baseline, a solid-crest TPT array isolating the knife-edge “slip-cut” effect, and a porous-bleed TPT array whose paired micro-channels vent a small fraction of the free stream. Time-resolved PIV provides wall-normal velocity fields; skin friction is inferred from near-wall shear, and …

Aged 539 Graduate Internship Report- Mount Whitney High School, Matthew C. Medeiros

Agricultural Education: Graduate Internship Reports

This project reviews the Mount Whitney High School Agricultural Education Program. Through evaluation of our program's needs, there was a lack of chapter promotion outside of social media. A chapter website was created to highlight Classroom, FFA, and SAE opportunities available to students in our program.

Alexander Asboth: Hungarian Separatist And Union Civil War General, Paul T. Brueske

Graduate Theses and Dissertations (2019 - present)

This thesis reveals the experiences of a Hungarian Separatist, Alexander Asboth, and how he applied those experiences in the American Civil War. It examines Asboth’s biography, his expansive view of the Union, and how he differed from many commanding officers in the Western theater. Moreover, this thesis illuminates Asboth’s military service, including his leadership of a diverse force at Barrancas, Florida, and adds to the understudied collaboration of foreign-born officers and Black soldiers in Gulf Coast Civil War history.

During the 1848 Hungarian separatist movement, Asboth served as an Army staff officer under the leader Lajos Kossuth. However, the separatists …

Application Of Graph Neural Networks On Phase Space Graphs For Cybersecurity, Parker H. Cole

Graduate Theses and Dissertations (2019 - present)

Non-linear phase space analysis may be used to represent time-series data as graph data with transitions between states in the time domain. By studying these transitions, we can predict anomalies within the system. Previous research has demonstrated success in learning from phase graphs for malware and seizure detection. These solutions either require extracting global features or converting the graph into an image for convolutional neural networks (CNNs), which adds a layer of complexity and limits the size and potential expressiveness of a graph. To sidestep current limitations, this study proposed Graph Neural Networks (GNNs) for analyzing phase graphs. GNNs do …

Taxonomy Of Endophytic Fungi Associated With Vallisneria Neotropicalis, Md. Arafat Rashid

Graduate Theses and Dissertations (2019 - present)

This study presents the first comprehensive taxonomic and ecological investigation of endophytic fungi (EF) associated with the submerged aquatic macrophyte Vallisneria neotropicalis in the southern United States. Over a 12 month period, from April 2023 to March 2024, leaf samples were collected from two distinct sites in Mobile Bay, Alabama a disturbed, brackish Causeway location and a cleaner, less impacted site at Meaher State Park. Using culture dependent methods, a total of 257 fungal endophytes were isolated from 1,200 leaf segments. All isolates belonged to the phylum Ascomycota, distributed across 3 classes, 6 orders, 10 families, and 19 taxa. The …

Human Capital, Immigration, And Growth: A State-Level Dynamic Panel Study, William R. Cooper

Graduate Theses and Dissertations (2019 - present)

This study examines whether who immigrates, rather than how many, matters for state economic growth in the United States. It integrates a policy-relevant proxy for skill (H-1B approvals) into an augmented Solow framework that separates immigration's quantity channel from its human capital channel and estimates dynamic effects in a balanced quarterly panel of 50 states (2010 to 2023 ). The empirical strategy estimates a two-step difference GMM Arellano-Bond model that reinforces identification using a double/debiased machine learning (DML) variant that orthogonalizes high-dimensional nuisance components via cross-fitting. This design targets the distinct roles of immigrant headcount versus skill in per capita …

Modeling Flood Risks For Small-Scale Coastal Watershed Across Shared Socioeconomic Pathway Scenarios, Sebastian Loschner

Graduate Theses and Dissertations (2019 - present)

Coastal flooding, driven by the mixture of natural processes and human activities such as precipitation, waves, sea level rise, and urbanization, remains a growing concern. While recent flood-risk studies use IPCC's Shared Socioeconomic Pathways with climate projections to assess future flood exposure, smaller coastal watersheds, < 120,000 acres, remain insufficiently studied. Projected sea level rise is expected to intensify these impacts in smaller systems, potentially causing more severe flooding than reported for larger watersheds. To address this gap, this study used the SRH-2D model integrated with Aquaveo's Surface-water Modeling System to simulate flooding in the lower Fish River basin, Alabama. A coastal watershed sensitive to both riverine and tidal influences. Simulations tested different sea levels based on SSP scenarios corresponding to low, moderate, and high emissions for the years 2050 and 2100. Results indicate that the midcentury scenarios remained even in inundation extent and volume, between 9.9-10.4% compared to the 2020 baseline, the latter scenarios had a wider range in results of between 25.9-50.3% compared to the same baseline. Across scenarios, the most vulnerable and inundated areas of the smaller coastal watershed were the narrow points where upstream flow convene with downstream backwater. These findings highlight the need for futuristic location-specific flood mitigation strategies.

Enhancing Learning Path Recommendation Via Multi-Task Learning, Afsana Nasrin

All Theses

Personalized learning is a student-centered educational approach that acknowledges and adapts to the unique characteristics of each learner by customizing content, pacing, and assessments to meet individual needs. Key components include learner profiles, cognitive styles, learning objectives, adjustable pacing, and enabling technologies such as intelligent learning environments, intelligent tutoring systems, and data mining.

A key strategy for implementing personalized learning is learning path recommendation, a technique that guides learners through tailored sequences of content. This approach sequentially recommends personalized learning items, such as lectures, exercises, to address each student’s specific needs. Recent advances in deep learning, particularly deep reinforcement learning, …

Characterization Of Site-Specific Q295-Conjugated Tlr7 Agonist Immune-Stimulating Antibody Conjugates, Samuel Hanul Chung

Undergraduate Honors Theses

Recent advances in immunotherapy as a viable cancer treatment modality has led to the development of immune-stimulating antibody conjugates (ISACs). ISACs are analogous to antibody-drug conjugates (ADCs), which utilize the specificity and stability of an antibody to deliver cytotoxic payloads directly to a tumor. ISACs, however, deliver immune stimulating agents instead, activating adaptive and innate immune responses to engage with tumor cells. Among the various immunostimulants currently being explored, Toll-Like Receptor (TLR) agonists have risen as promising inducers of anti-cancer immune responses. Previously, the Tumey lab has explored ISACs employing an imidazole[4,5-c]quinoline TLR7 agonist with drug-antibody ratios (DAR) of ~8. …

Learning To Accelerate Tightening Of Convex Relaxations Of The Ac Optimal Power Flow Problem, Faith Cengil, Harsha Nagarajan, Russell Bent, Sandra Eksioglu, Burak Eksioglu

Industrial Engineering Faculty Publications and Presentations

We propose a novel machine learning (ML)-based approach to significantly reduce the run times of the optimality-based bound tightening (OBBT) algorithm for strengthening the convex relaxations of the non-convex Alternating Current Optimal Power Flow (AC-OPF) problem. While OBBT can yield near-global solutions via tight convex relaxations, its runtime remains a critical bottleneck on large-scale power grids. Our key contribution is a dynamic policy that selects smaller subsets of voltage magnitude and phase-angle difference variables for sequential bound tightening at every iteration of the OBBT algorithm. This ensures that the bound-tightening process remains adaptive, thereby circumventing the stalling in the optimality …

Twim #222: Biosensors In Bacteria, Madison Hayes, Alexis Austin, Dillon Nguyen, Angela Wilson, Rebecca Seipelt-Thiemann

School of Medical Diagnostics & Translational Sciences Publications

Podcast annotation TWiM #222: Biosensors in Bacteria from the weekly podcast series "This Week in Microbiology" (TWiM), a podcast where experts in microbiology discuss academic papers in their field in an informal way.

Twim #243: Beef And Bacillus, Sakiem Winston, Madison Wolford, Rebecca Seipelt-Thiemann, Angela Wilson

School of Medical Diagnostics & Translational Sciences Publications

Podcast annotation TWiM #243: Beef and Bacillus from the weekly podcast series "This Week in Microbiology" (TWiM), a podcast where experts in microbiology discuss academic papers in their field in an informal way.

Twim #286: Integrons And Invasion, Andrea Ayala-Lopez, Brittney Heist,, Thomas Salazar, Rebecca Seipelt-Thiemann, Mel Melendrez-Vallard, Angela Wilson

School of Medical Diagnostics & Translational Sciences Publications

Podcast annotation TWiM #286: Integrons and Invasion from the weekly podcast series "This Week in Microbiology" (TWiM), a podcast where experts in microbiology discuss academic papers in their field in an informal way.

Energy Flow Differences In Throwing Arm Joints Between Javelin And Weighted Balls In Male Javelin Throwers, Hans-Peter Köhler, Kristof Kipp, Nikola Prvulović, Maren Witt

Exercise Science Faculty Research and Publications

Introduction: To enhance release velocity during competition, javelin throwers incorporate implements of varying mass into their training regimens. Previous research has demonstrated that, although velocity contributes quadratically to the computation of kinetic energy, heavier implements generate substantially greater kinetic energy at the moment of release, despite markedly lower release velocities. The primary objective of the present investigation was to analyze energy transfer within the throwing arm to gain deeper insight into the biomechanical mechanisms underlying the use of implements with different masses.

Methods: The three-dimensional coordinates of 16 reflective markers were recorded for 6 athletes during throws using 6 different …

Information Literacy In The Artificial Intelligence Era: A Proposed Framework, Radwan Ali, Matthew L. Wilson

Communications in Information Literacy

Artificial intelligence (AI) systems and applications have become ubiquitous across daily life. While AI offers numerous positive opportunities, it also presents numerous challenges. Information literacy (IL) advocates are concerned about the risks that accompany AI systems. Given the universal reach of AI with its potential pitfalls and perils, researchers and practitioners from various fields and disciplines should inform the dialogue on AI’s development and application. A critical aspect of this dialogue comes in the form of information literacy. Our paper aims to answer the question “How can information literacy guide users in navigating and shaping artificial intelligence technologies?” by establishing …

Experimental Measurement Demonstration Of Initial And Steady-State Heights Of A Co2 Vertical Jet Fountain In Still Air, Brock Mcrae

Chemical Engineering Undergraduate Honors Theses

Atmospheric releases of heavier-than-air gases pose acute near-field hazards in low wind, yet the near-source behavior of vertical dense-gas jets in still air is sparsely documented. This thesis demonstrates a repeatable laboratory method for measuring the initial and steady-state rise heights of a carbon dioxide (CO₂) jet issued vertically from a floor nozzle in the CHRC ultra-low-speed wind tunnel under still-air conditions. Controlled mixtures (pure CO₂, 50/50 CO₂-air, 25/75 CO₂-air) were released at four flow rates (75, 100, 125, 150 LPM) with five repeats per condition. A fixed camera and tape-measure scale enabled video extraction of jet height using Kinovea …

Calibration And Validation Of Cyclic Stretching Platform For Stiffness Testing Of Engineered Heart Tissue, Jillian Welsh

Chemical Engineering Undergraduate Honors Theses

Cardiac fibrosis (CF) is a major contributor to the high mortality rate of heart failure which affects over 23 million people worldwide. CF involves cardiac fibroblasts depositing extracellular matrix, made primarily of collagen type I, which stiffens the heart walls over time. As testing new drugs for CF is deterred by the high cost and time required for animal and clinical trials, this research helps to solve the problem by providing an in vitro platform to study fibrosis.

The work involved creating tissues containing human cardiac fibroblast (HCFB) cells. Spring testing was conducted to determine the force applied by the …

Undergraduate Awareness Of Sexual Harassment Law In Tanzania's Higher Learning Institutions: Case Studies Of Two Universities, Salma Ramadhan Fundi Phd Candidate

Tanzania Journal of Sociology

This study examines undergraduate students' awareness of legal provisions and guidelines concerning sexual harassment in Tanzanian higher education, focusing on the University of Dar es Salaam (UDSM) and the Open University of Tanzania (OUT) as case studies. Sexual harassment significantly impacts students’ well-being, safety, and academic success. Despite the existence of legal frameworks, students' knowledge of these provisions is often limited. The study employed a qualitative approach with a phenomenological research design to explore students’ experiences and perceptions of harassment policies. This design allowed participants to share the meanings they attach to their experiences and how such policies are understood …

The Rider (2025-12-01), Daniela Martinez Salazar

The Rider Archives

Vol. 11, No. 13

Expanderizing Higher-Order Random Walks, Vedat Levi Alev, Shravas Rao

Computer Science Faculty Publications and Presentations

We study a variant of the down-up (also known as the Glauber dynamics) and up-down walks over an 𝑛-partite simplicial complex, which we call expanderized higher-order random walks—where the sequence of updated coordinates corresponds to the sequence of vertices visited by a random walk over an auxiliary expander graph 𝐻. When 𝐻 is the clique with self-loops on [𝑛], this random walk reduces to the usual down-up walk, and when 𝐻 is the directed cycle on [𝑛], this random walk reduces to the well-known systematic scan Glauber dynamics. We show that whenever the usual higher-order random walks satisfy a log-Sobolev …

Full Issue (Volume 4, Issue 2): Evolving Englishes, Innovative Pedagogies, And Emerging Linguistic Insights

Journal of English and Applied Linguistics

Abstract not applicable.

Systematic Review Of Instruments Measuring Teachers' Tpack, Jose Ruben Avalos

Open Access Theses & Dissertations

The study examines the assessment of Technological Pedagogical Content Knowledge (TPACK), a framework that integrates technology, pedagogy, and content knowledge for effective teaching. Given the increasing integration of technology in education, it is crucial to understand how TPACK is assessed and the tools used to measure teachers' proficiency in these areas. This study aims to review and analyze tools used to assess TPACK, evaluate their validity and reliability, and provide a synthesis of existing research to inform future developments in TPACK assessment. A systematic review of literature was conducted, focusing on studies related to the evaluation of TPACK. Four research …

Hispanic-Servingness Complexity In The United States-Mexico Borderland: Employee Perspectives At A Hispanic-Serving Community College, Jessie Arellano

Open Access Theses & Dissertations

Persistent challenges and low educational attainment among Hispanic college students highlight the urgency of Hispanic-Servingness. A mixed-methods design was employed through an exploratory questionnaire to examine Hispanic-Serving Institutions’ employees’ perceptions of five metrics: institutional, academic, student services, community engagement, and grant funding practices. Data were collected from 439 employees from a Hispanic-Serving Community College located in the southwest U.S.-Mexico borderland region, who anonymously completed an online survey. Quantitative results revealed employees perceived that the Hispanic-Serving Community College demonstrates strength in institutional and academic practices that support Hispanic students. Additionally, the results indicated general agreement with the effectiveness across the metrics, …

Coupling Material Formulation Strategies To Tailor Piezoelectric Properties Of Ceramic Lattices, Amanda Lauren Borgaro

Open Access Theses & Dissertations

This thesis examines the material formulation and infiltration processes required to create interpenetrating ceramic composites with a particular focus on developing piezoelectric ceramic-epoxy lattice structures (PCELS). Following this, a high–solid loading barium titanite photopolymer resin (BT40) was developed to produce BTO scaffolds with controlled porosity suitable for metal infusion. The resin’s shear-thinning behavior and scattering-dominated curing response enabled the formation of stable, uniform ceramic structures whose pore networks directly influence infiltration behavior. Building on this foundation, a low-temperature Field’s Metal (FM) infiltration method was established using controlled thermal equilibration and the melting of pre-formed alloy rods. By maintaining the ceramic …

Computational Methods For Complex Electromagnetic Geometries And Media, Edgar Bustamante

Open Access Theses & Dissertations

Additive manufacturing has enabled electromagnetic devices with increasingly complex geometries, but existing numerical tools remain limited in their ability to model and design such structures. This dissertation presents two major advancements that address these restrictions in the finite-difference frequency-domain method (FDFD) and the spatially-variant lattice algorithm (SVLA). These two numerical methods provide a foundation for future exploration in the simulation, optimization, and realization of next-generation electromagnetic devices. First, a general bianisotropic FDFD formulation based on the vector wave equation is presented that enables practical modeling of metamaterials using effective medium homogenized parameters rather than explicitly resolving subwavelength metamaterial features. The …

Intelligent Predictive Frameworks Under Data Scarcity And Uncertainty, Solayman Hossain Emon

Open Access Theses & Dissertations

Modern predictive systems frequently operate under conditions of limited annotated data, high uncertainty, and the need for reliable decision-making. When the predictive models expand across heterogeneous data types (e.g., spatial, temporal streams), the challenge lies not only in accurate prediction but also in adapting in data distributions shifts or label scarcity. To address these issues, this thesis explores an Intelligent Predictive Framework that operates robustly under data scarcity and uncertainty across two distinct domains: medical imaging (spatial) and time-series forecasting (temporal). In the first part of this work, a semi-supervised mean teacher (MT) paradigm is tailored for medical image segmentation …

A Half Century Of Biophysical Change In Polygonized Tundra On The Coastal Plain Of Northern Alaska, Mariana Mora

Open Access Theses & Dissertations

Climate change is amplified in the Arctic. As a result, Arctic tundra landscapes are undergoing physical changes through accelerated thaw and ice-wedge degradation. Understanding the magnitude and direction of these changes in the Arctic is a necessary step toward understanding the response of the Arctic to climate change and feedbacks to the Climate System. Through repeat measurements collected from 1973 through 2018, we were able to assess decadal time scale changes in polygon geomorphology, thaw depth, land surface compression and expansion, and vertical elevation within a highly polygonized tundra system, and their implications when scaled to a regional level. This …