Digital Commons Network^™

On The Number Of Ways To Express A Set As A Union Of Individually Interesting Sets, Alison Watson

Master's Theses

In a dataset that contains what ought rightly to be several distinct datasets placed in juxtaposition with each other, grouping datapoints based on observed similarities can be done in many ways. Topological Data Analysis (TDA) is a field of math that seeks to impose geometric structure onto datasets, thereby translating problems in statistics to problems in geometry or topology. A common truism in this field is “Data has shape and shape has meaning.” In this thesis, we use combinatorial and categorical arguments to demonstrate some shortcomings of a TDA approach on a class of inverse problems inspired by marine wildlife …

50,000 Spectra And Counting: Preparing For A Roman Spectral Atlas, Maya Jordan Seagraves

Master's Theses

Slitless spectroscopy with the Hubble Space Telescope's Wide Field Camera 3 \linebreak (WFC3/IR) enables simultaneous spectral coverage of all sources in a field, but large-scale single-orientation datasets remain challenging to process. We developed a pipeline that automates HSTaXe spectral extraction across hundreds of Hubble Space Telescope observations, enabling efficient processing of 84 fields and producing over 50,000 spectra from three filters (F110W, F125W, and F160W) and two grisms (G102 and G141). This was achieved by creating a companion Python package, the Module for Infrared Label Analysis (MILA), that integrates data calibration, extraction, and visualization. To assess the scientific utility of …

Dot Product Engine Based Neuromorphic Hardware For Continuous-Time Biomedical Signal Classification, Sanjeev Srinivasan

Master's Theses

Accurate diagnosis of pathological conditions from biomedical signals, such as electrocardiograms (ECGs) is often performed offline, making it time-consuming, costly, and inefficient, especially when abnormal patterns are rare and long-term monitoring generates large amounts of data. To address this, this work proposes a compact, scalable, and programmable neuromorphic system designed for real-time preliminary arrhythmia detection and classification using ECG signals, that can be extended to other biomedical signals. The proposed design processes ECG signals using a delta modulation-based spike encoder, followed by classification with a dot-product engine (DPE) based spiking neural network (SNN) processor and winner-take-all (WTA) circuit. The architecture …

Evaluation Of Solar Reflective Pigments For Use In Direct-To-Metal Coatings, William J. Diment

Master's Theses

Solar reflective coatings offer a promising strategy to mitigate the urban heat island effect by reducing absorption of near-infrared solar energy. This thesis project investigates the feasibility of incorporating near-infrared reflective pigments into waterborne direct-to-metal (DTM) latex coating systems while maintaining acceptable color comparison characteristics and coating performance. An all acrylic latex DTM formulation with titanium dioxide as the sole pigment was prepared and tinted with a variety of conventional and solar reflective commercial colorants across the yellow, red, blue, and green color ranges. Coatings were evaluated for solar reflectance, CIELAB color, gloss, contrast ratio, rheological behavior, accelerated ultraviolet weathering …

On M-Estimation: From Theory To Examples, Alexander Yuan

Master's Theses

M-estimation provides a unified framework for statistical procedures defined as optimizers of data-dependent criterion functions. This thesis gives an expository account of M-estimation in classical and high-dimensional settings. The classical part develops weak convergence, empirical process tools, and the argmax framework for studying consistency, rates of convergence, and weak limits. Examples including least squares, maximum likelihood, robust location estimation, change-point estimation, and empirical risk minimization illustrate regular and non-regular asymptotic behavior.

The high-dimensional part studies regularized M-estimators, where the focus shifts to finite-sample error bounds and model selection guarantees. Topics include decomposable regularizers, restricted strong convexity, non-convex penalties, and sparsistency. …

Independent And Combined Effects Of Early-Life Iron Deficiency And Antibiotic Exposure On Growth And Hematological Outcomes In A Piglet Model, Ginger M. Fitzpatrick

Master's Theses

Iron deficiency (ID) affects over 2 billion individuals globally. Children under 5 are at increased risk of ID due to rapid growth and are especially vulnerable to its negative consequences because of iron’s essential role in cognitive development and immune maturation. ID is the leading cause of iron deficiency anemia (IDA), with IDA affecting approximately 40% of children in this age group. Antibiotic (abx) exposure is also prevalent during early life and may disrupt growth and through gut dysbiosis, with increasing use posing additional risk in younger populations. Geographically, there is overlap in regions with high anemia prevalence and those …

High-Resolution Queries, Low-Resolution Context: Scaling Vision Transformers With Asymmetric Spatial Reduction, James M. Dwyer

Master's Theses

Vision Transformers (ViTs) have demonstrated great performance on image classifica tion benchmarks, however, the quadratic complexity of the self-attention mechanism with respect to sequence length limits their scalability to higher resolution inputs. The attention score matrix grows as O(N2) in both compute and memory, where N is the number of patch tokens, making ViTs computationally expensive and memory intensive for applications that require real-time inference or operate under resource constraints.

This thesis investigates whether the key and value sequences of the self-attention mechanism can be compressed using the local spatial structure of the image — while keeping queries at full …

Effects Of Atomic Oxygen Exposure On Stressed Drag Sail Materials For Low Earth Orbit Applications, Nazanin Sadeghian Dezaki

Master's Theses

As low Earth orbit (LEO) has become an increasingly valuable region for satellite operations, it has grown increasingly congested. The Federal Communications Commission (FCC) deorbit regulations require satellites to be deorbited within 5 years of launch, and drag sails represent a practical means of meeting this requirement. An important consideration for drag sail design is the effect of atomic oxygen (AO) on sail materials. To address the gap in the literature regarding the behavior of stressed drag sail materials under AO exposure, a new test plate was manufactured for the California Polytechnic State University minimum atmospheric experimentation (MAX) AO chamber. …

A Higher Order Panel Method With Vortex Particle Wake, Luca Flick-Kaiser

Master's Theses

Panel codes were some of the earliest methods for computing the flow around aircraft. Despite the availability of higher fidelity CFD methods, panel methods remain an essential tool for the development of modern aircraft, allowing engineers to quickly iterate during the conceptual design phase.

This work develops and implements a high order panel method using Python. The wake is modeled using vortex particles, resulting in an accurate wake representation with minimal user input. The integration of the higher order singularity distributions has been extended to include the calculation of the velocity gradients necessary for the vortex particle implementation. The use …

Development Of A Free-Floating Space Robotic Simulator, Truman: Terrestrial Robotic Unit For Multibody Analysis And Navigation, Jackson W. Cordova

Master's Theses

This work describes the development of a 3 Degree-of-Freedom (DOF) robotic manipulator for use on a free-floating planar air-bearing vehicle. The system developed aims to serve as a foundation for future space robotics research at the California Polytechnic State University (Cal Poly)’s Space Robotics Laboratory. Systems doc- umentation describes conceptual operation and architecture of the proposed system: Terrestrial Robotic Unit for Multibody Analysis and Navigation (TRUMAN). The key operation of TRUMAN is to study a self launch maneuver of a free-floating ve- hicle including 4 distinct phases: launch off a fixed rail, coast, reorientation using manipulator motion, and capture of …

Prototype X-Band Front End Upconverter & Transmitter With An Integrated Pll, Mont Ziadoon Murad

Master's Theses

In recent years, there has been growing interest in high-speed communication for small satellites. Achieving higher communication speeds will enable any experimental CubeSat to conduct experiments at higher rates and allow further research into SAR and deep-space exploration. At Cal Poly, the CubeSat Lab has mainly operated at 9600 baud and utilized the Ultra High Frequency (UHF) amateur radio band. While it has proven itself resilient, the UHF band lacks the infrastructure to support higher-bandwidth communication systems. To address this gap, this work presents a prototype space-side downlink RF front end comprising an upconverter, a power amplifier (PA), and a …

Scorespeak: An Agentic System For Natural Language Control Of Musical Scores, Nathan S. Lim

Master's Theses

With the recent popularization of large language models (LLMs), natural language has become one of the most accessible and powerful ways for people to interact with creative tools. Although they have become common in mainstream domains like image and audio editing, there is currently no robust AI-based system that can reliably turn free-form language into edits for symbolic musical scores. This gap represents a missed opportunity to improve human workflows for creating and editing sheet music, but it is also a fundamental limitation for other agentic music systems; without a robust mechanism for translating free-form language into structured scores, AI …

From Seizure To Settlement: Liberated Africans, Imperial Law, And Labor In The Indian Ocean World, 1810–1860, Holly S. Mcfate

Master's Theses

This thesis examines the relationship between British antislavery, imperial law, and labor management in the western Indian Ocean during the first half of the nineteenth century. Centered on the 1821 capture and condemnation of the slave schooner Industry by HMS Menai, the study employs a microhistorical methodology to reconstruct the legal and administrative processes that governed the lives of Africans seized from slave ships after their liberation. Drawing upon Vice-Admiralty Court records, Colonial Office correspondence, naval logbooks, and administrative registers from The National Archives (UK) and the Mauritius Archives, the thesis follows the transition of captive Africans from maritime interception …

Development Of A Video-Based Tool To Measure Motor Asymmetry In Infants At Risk For Hemiparesis, Roha Ali

Master's Theses

Congenital hemiparesis is a unilateral motor impairment stemming from brain injury in utero or early postnatally. Hemiparesis can be difficult to detect in early infancy with current clinical tools. Yet, early identification of motor asymmetry could play a key role in the design of effective early intervention and rehabilitation strategies. This thesis presents the development and validation of a video-based tool designed to extract infant limb movement data using DeepLabCut’s (DLC) machine learning network. The pipeline was developed using videos of typically developing (TD) infants and infants with Asymmetric Perinatal Brain Injury (APBI), all at or under 3 months corrected …

A Security Framework For Pacemaker Lead Failure: Anomaly Detection System And Failsafe Policy Considerations, Ethan Wagner

Master's Theses

Embedded system security in implantable medical devices (IMDs) remains an underexplored challenge due to the unique constraints of these systems. Specifically, pacemakers are optimized for ultra-low power consumption to maximize device lifespan, are highly resource constrained, and demand reliable and correct operation to prevent severe health consequences. These systems rely on sensing electrodes, called leads, to detect cardiac activity and stimulate the patient’s heart when appropriate. Therefore, pacemaker lead integrity is a critical issue, as malfunction or compromise can result in device failure jeopardizing patient safety.

The security framework presented in this thesis integrates several works to proactively detect and …

Large Scale Kmer-Based Proteomic Analysis: An Application Towards Evolutionary Constraint Discovery, Matthew Chak

Master's Theses

Large protein databases now make it possible to study short peptides across natural protein sequence space at unprecedented scale, but exhaustively counting k-mers across billions of protein sequences remains computationally difficult. This thesis develops an exact amino-acid k-mer counting method based on direct addressing, in which fixed-length amino-acid strings are encoded as base-20 integers and updated with a sliding-window recurrence. By avoiding key storage and collision resolution, this approach removes overhead inherent to hash-map-based methods when the k-mer space is sufficiently dense. A memory analysis shows when direct addressing is preferable to open-addressing hash tables, and expected-saturation calculations motivate its …

Perception Is Reality: Evaluating Transportation Satisfaction And Utilization In Continuing Student Housing At Cal Poly, Lucas Owens

Master's Theses

As higher education institutions increasingly mandate on-campus living to foster student success, the built environment becomes a critical determinant of daily mobility. California Polytechnic State University (Cal Poly) is transitioning to a two-year residency requirement and tightening vehicle restrictions. This thesis evaluates how the spatial and built-environment realities of peripheral housing complexes in Cerro Vista Apartments and Poly Canyon Village shape student transportation satisfaction and utilization, and emergency evacuation preparedness.

Employing a mixed-methods approach, this research triangulates data from 79 student surveys and 10 semi-structured interviews. The findings indicate that supplementing traditional metrics of proximity with localized spatial data presents …

Structured Dynamic Factor Analysis Of Environmental Time Series With Application To Morro Bay Estuary, Jose Garcia

Master's Theses

This thesis develops a structured dynamic factor analysis (sDFA) framework for decomposing multivariate environmental time series into latent biological and physical components. The methodology is applied to five years of high-resolution passive monitoring data collected from two sites in Morro Bay, California from 2020 through 2024. Relative contribution indices are developed based on the structured DFA that measure how much each latent process contributes to each observed variable at any given time. Structured DFA models fit to the application data suggest site-specific patterns in how biological and physical processes affect water quality variables. At the bay mouth location, physical processes …

A Proof-Of-Concept Design Of A High-Gain Deployable Reflectarray Antenna For A 3u Cubesat, Armin Behbahani

Master's Theses

CubeSats are a class of nanosatellites that have democratized space exploration by greatly reducing cost and complexity. Their small size and limited power generation directly limit the performance of a high-data-rate communication system due to low transmit power and limited gain from small antenna sizes. Transmission losses increase with higher operating frequencies, spurring the need for innovative high-gain antenna solutions. This thesis investigates the design of a deployable 10 GHz reflectorarray, a planar high-gain aperture antenna, for a 3U CubeSat. A simple variable-size square-patch resonant unit cell was designed for implementation on commonly available PCB layer stack-ups. Preliminary reflectarray system …

Neuron Notes, Araceli Franco, Ethan Diec, Max Blennemann, Shibo Cong

Computer Science and Engineering Senior Theses

Mainstream digital note-taking tools such as Notion, Microsoft OneNote, and Evernote organize knowledge around linear documents and rigid folder hierarchies, a structure that strays from the associative, graph-like nature of human semantic memory. Mind-mapping and linked-note systems such as XMind, Obsidian, Roam Research, and Logseq move closer to that associative model but still constrain users to short labels, automatic layouts, or page-centric workflows that underutilize spatial and visual recall. This thesis presents Neuron Notes, a spatial, graph-based note-taking system designed to align digital organization with how people actually form and retrieve ideas. The system is implemented as a three-tier web …

Accessibility In The Edtech Era: The Growth In Implementation Oflearning Technologies And Thestudents Who Are Left Behind, Madeleine Braksick

Vanderbilt Journal of Entertainment & Technology Law

Educational Technology (EdTech) has gained popularity in recent years, enabling distance learning and connectedness across school districts, and among students, teachers, and families alike. However, vague or nonexistent standards for regulating these technologies have led to students with rights to special education services not having those services upheld to the same standard as traditional educational mechanisms. While the Individuals with Disabilities Education Act (IDEA) has been modified over time to form heightened standards for making education appropriate for all students, it has consistently fallen short in its regulation of both assistive and educational technologies. This Note explores the consequences of …

2026 June - Tennessee Climate Snapshot, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

No abstract provided.

Volume 46, Number 2, June 2026 Olac Newsletter, Laura Kane Mcelfresh, Kyla Jemison, Tanesa G. King, Nerissa Lindsey, Amanda Mack, Michael Herrick, Heather Pretty, Lisa Romano, Janelle Zetty

OLAC Newsletters

Digital version of the June 2026 issue of the OLAC Newsletter.

Beyond Regulation: Why Europe Must Lead Ai Stewardship In Health, Luca Saba, Ignazio R. Marino

Department of Surgery Faculty Papers

No abstract available

Impact Of Race And Acculturation On Lung Cancer Screening Eligibility: A Multicenter Lung Cancer Cohort Study, Eunji Choi, Christine S. Shusted, Harrison Yang, Haley M. Evans, Julia G. Katcher, Yiwey Shieh, Anil Vachani, Katharine Rendle, Julie A. Barta

Division of Pulmonary, Allergy, and Critical Care Medicine Faculty Papers

No abstract provided.

William K. Hartmann, Scientist, Artist, Pioneer Of Planetary Science, Adam Eisenberg

Articles

For more than six decades, William K. Hartmann has helped shape modern planetary science, from pioneering crater-count dating to developing the leading theory of the Moon's formation. He has also created some of the most enduring artistic visions of other worlds. Adam Eisenberg caught up with him on the eve of his 87th birthday.

Technology Before, During, And After Incarceration: Current Product Landscape, Sociotechnical Concerns, And Legal Considerations In The U.S. Context, Yael Eiger, Taylor Hansen, Teanna Barrett, Jevan Hutson, Bryce Clayton Newell, Franziska Roesner

Articles

Emerging technology, including AI, is proliferating throughout the U.S. carceral system. These technologies are marketed to prisons and police departments and then procured using taxpayer money. Previous investigative reporting has exposed troubling kickback schemes, unconstitutional data collection practices, and biased algorithmic outcomes in a handful of prominent technologies (e.g., Flock, Palantir, Clearview AI, COMPAS). In this work, we consider the broader ecosystem of carceral technologies: we catalog 122 products from 53 companies selling technology to carceral institutions. In a collaboration among computer science, law, and surveillance studies scholars, we surface sociotechnical, ethical, and legal concerns related to the use and …

2025 Highlights From The Home And Community Department: Strengthening Utah Families And Communities, Heidi Leblanc

Outcomes and Impact Quarterly

USU Extension’s Home and Community Department addresses challenges affecting family and community wellbeing, including financial instability, food insecurity, chronic disease risk, and relationship strain. In 2025, the department implemented an integrated, statewide approach combining financial education, relationship programming, nutrition education, and community wellness initiatives delivered through accessible, research-based formats. Programs produced outcomes across multiple domains. Participants reported increased financial knowledge, confidence, and adoption of behaviors such as budgeting, saving, and debt reduction. Relationship education improved communication, connection, and commitment among couples and families, while parenting and coparenting programs promoted healthier family dynamics. Nutrition initiatives led to improved dietary behaviors, increased …

Report On The Ethical Use Of Ai For Participatory Planning, Sahana Kotha, Blythe Wilson

City and Regional Planning

This report provides an overview of key considerations for using artificial intelligence for community engagement in urban planning. As interest in AI adoption in the public sector increases, an understanding of ethical issues is needed to guide responsible AI implementation. Informed by a literature review and interviews with urban planning practitioners and academics, this report describes and analyzes different AI-supported community engagement methods, explores case studies, and outlines key concerns and opportunities for using AI. We recommend that AI use for community engagement prioritizes transparency, human oversight and accountability, intentional AI implementation, and community involvement.

Table Of Contents

Washington Law Review

No abstract provided.