Digital Commons Network^™

A Study Of Booster Seat Education In An Elementary School Setting, Rosanina Carlotta Ketchum

Theses

The leading cause of death in children five to nine years old is motor vehicle accidents (MVA). Booster seats decrease the risk of injury during MVA’s, and knowledge deficit is a frequently listed reason for the non-use of booster seats. A descriptive quantitative research method was undertaken using a survey design to evaluate the effectiveness of parental booster seat education in the elementary school setting in increasing booster seat use among 4- to 8-year-olds in one Oklahoma community. A chi-square test of independence found that parents who attended booster seat education sessions had higher rates of consistent booster seat use …

Greennet: Ai-Driven Routing Simulator For Sustainable Internet Energy Optimization, Olta Zagraxha

Theses

Reducing the energy consumption of communication networks while maintaining reliable service is an important challenge in sustainable computing. This capstone presents GreenNet, a simulation and evaluation framework designed to investigate whether energy-aware network control can reduce estimated energy consumption without unacceptable degradation in Quality of Service (QoS). GreenNet combines a graph-based network simulator, configurable traffic scenarios, and a web-based interface for examining network behavior and comparing control strategies. Three approaches are evaluated: an All-On baseline that keeps all links active, a rule-based heuristic that selectively deactivates links, and a hybrid controller based on Proximal Policy Optimization (PPO), whose proposed actions …

Bayesian Network: An Explainable Artificial Intelligence (Xai) Approach To Human Performance Modelling For Control Room Operations, Houda Briwa

Theses

Alarm systems in process industry control rooms routinely exceed the performance targets set by standards such as EEMUA 191, placing operators under conditions where reliable performance is most difficult to achieve. Predicting how operators respond under such conditions is central to risk management, yet current Human Reliability Assessment (HRA) methods depend on expert judgement that is rarely tested against operational evidence, assume independence among factors known to interact, and do not explicitly represent the cognitive processes through which performance emerges. In Resilience Engineering terms, these methods encode Work-as-Imagined with limited means to assess how far expectations hold when work is …

Predictive Modeling For Traffic Accident Severity Using Machine Learning, Ahmad Bin Eid

Theses

Road traffic accidents remain a persistent public safety challenge, responsible for over 1.3 million deaths annually according to the World Health Organization. While considerable effort has gone into understanding accident patterns, predicting the severity of an accident before or immediately after it occurs remains a difficult problem — particularly when the underlying data is messy, imbalanced, and largely categorical in nature. This study applies three supervised machine learning classification algorithms — Logistic Regression, Random Forest, and Gradient Boosting — to predict the severity of road traffic accidents using a dataset of 12,316 records collected by the Addis Ababa Sub-city Police …

Workload-Aware Performance Prediction And Data Movement For Data-Intensive Computing, Kevin Assogba

Theses

Data-intensive workloads in high-performance computing and artificial intelligence move massive volumes of data across deep memory and storage hierarchies, often spending more time moving data than computing on it. Their access patterns, data-sharing relationships, and computational graph properties are largely determined by descriptors known to the application before execution. However, general-purpose runtimes treat this structure as opaque, and the resulting gap between workload behavior and runtime decisions accounts for a substantial fraction of their execution time. Despite advances in performance modeling and data-movement systems, this structure remains underexploited. Schedulers, caches, and I/O paths provision resources conservatively, prediction models are rarely …

Beyond The Binary: Strengthening Nursing Students’ Proficiency Of Equitable Health Promotion, Martha K. Findley

Theses

Background: Sexual and gender diverse (SGD) populations continue to experience significant health inequities, yet prelicensure nursing curricula often lack structured, evidence‑based training to prepare students for equitable care.

Purpose: This study evaluated whether a targeted, transgender‑focused simulation could improve nursing students’ clinical knowledge and preparedness for providing equitable health promotion to SGD populations.

Methods: A pre‑/post‑intervention design was used with senior‑level nursing students who completed a transgender patient simulation emphasizing communication, assessment, and equitable health promotion. Students completed a validated survey measuring knowledge and preparedness in caring for SGD patients.

Results: Significant improvements across most survey items demonstrated that the …

Zineth, Colin Wilcox

Theses

This thesis asks whether a brand can generate real engagement without surrendering to an algorithm, and whether web design can recover the color, mystery, and sense of discovery it traded away as the internet corporatized. Daily internet use has risen every year on record, yet the spaces users inhabit have flattened into grey buttons and endless feeds. This question is answered through Zineth, a hybrid brand universe told across three coordinated forms: a Risograph-printed zine, a dense and layered website, and limited clothing drops. The zine operates as a key. Codes printed in its pages unlock gated areas of the …

Combined Effects Of Space-Relevant Thermal & Radiation Stress On Wide-Gap Mixed-Halide Perovskite Solar Cells, Veran Stanek

Theses

Mixed-halide wide-band gap perovskites are attractive for space power due to their high open-circuit voltages and compatibility with tandem device architectures, but their response to combined orbital stressors remains under-explored. Here, we study 1.86 eV band gap all-inorganic CsPbI2Br solar cells across a space-relevant thermal window of -80°C to +100°C before and after 1.0 M eV proton irradiation. n-i-p devices exhibit notable radiation tolerance retaining approximately 60% of initial power conversion efficiency (PCE) upon irradiation with a fluence of 5 × 10^13 cm^−2. Temperature-dependent hyperspectral photoluminescence imaging and spectroscopy uncover a reversible low-temperature emissive heterogeneity in the perovskite absorber, manifested …

A Large-Scale Annotated Flight Time-Series Dataset And Geospatial Post-Flight Analysis Tools For Ngafid, Roman Kozulia

Theses

This work presents three contributions to the National General Aviation Flight Information Database (NGAFID): a maintenance-linked flight dataset forpredictivemaintenanceresearch, anaviationchartprocessingservice, and an interactive geospatial heat map for post-flight event analysis. The first contribution is a maintenance-linked flight dataset for predic- tive maintenance and prognostics research in general aviation. The dataset contains approximately 100,000 non-simulated maintenance work orders and more than a million multivariate flight recordings extracted from NGAFID. Eachflightisassociatedwithmaintenancerecordsandlabeledaspre-maintenance, day-of-maintenance, or post-maintenance. Flights are exported as one-hertz sensor time series with flight-phase annotations, while a clustering pipeline groups technician-written maintenance records into event categories. To our knowledge, thisisthelargestpubliclyavailablegeneralaviationflightdataset linked to …

Lost In Translation: Quantifying Political Sociolect Divergence And Testing Llm Reliability As Political Interpreters, Daniel J. Corcoran

Theses

In the United States political sphere, growing polarization between Democrats and Republicans, particularly their more ideologically extreme wings, has given rise to distinct English-adjacent languages, shaped by social tendencies and referred to as “sociolects”. These sociolects offer a new avenue to analyze and further quantify growing polarization, and as Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) become increasingly embedded in political and social analysis, understanding their depth of political reasoning, biases, and classification behavior has become imperative. In this study, we sourced comment data from the CNN, Fox, and MSNBC YouTube channels, spanning from 2020 through 2024, trained …

Hybrid Photonic–Electronic Neuromorphic Integrated Circuits, Lilian Neim

Theses

Photonic neural networks use integrated photonic circuits to perform neural network operations with high bandwidth and the potential for energy-efficient computation. In these systems, optical device responses can represent weights, and wavelength division multiplexing enables multiple wavelength channels to be processed in parallel within the same waveguide. However, scalable photonic neural network hardware needs weights that can be programmed, stored, and read reliably. Many current approaches require continuous electrical or thermal tuning to hold the optical state. This dissertation addresses this challenge by developing a hybrid photonic-electronic approach to non-volatile electro-optic memory. Here, we design and demonstrate a non-volatile electro-optic …

Understanding The Long-Term Patterns Of Change Of A Tidal Marsh In Mission Bay, San Diego, California, Carrie A. Shuster, Theresa Sinicrope Talley Ph.D., Drew Talley Ph.D., Zhi-Yong Yin Ph.D., Kellie Uyeda Ph.D.

Theses

Coastal marshes are among California’s most productive ecosystems and the most impacted, having been extensively modified by dredging, filling, and urban development. This thesis investigates over a century of change for a marsh in Northern Mission Bay, San Diego, California using ecological and spatial analyses.

Chapter 1 provides an overview of the environmental history and current land use of the Northern Mission Bay marsh, tracing changes from pre-contact Indigenous stewardship through colonial and modern urban development. It also introduces a restoration plant palette derived from historical and contemporary species occurrences, ecological functions, and documented cultural uses. By integrating ethnobotanical knowledge …

Investigation Of Applying Machine Learning For Thermal Transport Phenomena, Ayush Jha

Theses

Electronic cooling is essential for maintaining optimal performance during complex computation tasks. Computational simulations have become a key tool to assess performance under various operating conditions. However, computational modeling involves a lengthy process to reach the final solution. The present work introduces a point-based neural network model to generate instant predictions of temperature for various heat sink configurations. A design of experiments methodology was utilized to define different heatsink designs, which were simulated using OpenFOAM. The training data included fin length, fin width, thermal conductivity, and Cartesian coordinates of point clouds. PyTorch was enabled with a fully connected neural network …

Elimination Of Object Jittering Via Impostor Rendering With Gpu Emulated Doubles, James Govan Moir Iv

Theses

Object jittering is an issue that arises when rendering objects at large distances from the scene's origin. This challenge arises in software that focuses on rendering realistically scaled planetary systems and games which simulate large open world environments. While there are several techniques in common use that aim to manage jittering, they come with performance tradeoffs. We propose a new technique that combines GPU based emulated double arithmetic with impostor rendering. Our technique aims to eliminate object jittering while maintaining reasonable performance.

Navigating Errors: Voice Assistants And Aging Users, Bea Marithe V. Pulido

Theses

This study examined how age relates to usability, cognitive load, and affect when using voice-user interfaces (VUIs). VUIs such as Siri, Alexa, and Google Home are increasingly common and allow users to complete tasks through voice commands. While these systems can be convenient and accessible, especially for older adults, they often provide brief or unclear feedback when errors occur, making it difficult for users to understand what went wrong and how to continue the interaction. The current study compared older and younger adults (n = 40) to examine group differences in perceived usability, cognitive load, and affective change during VUI …

Metal-Assisted Chemical Etching For Heterogeneous Integration And Advanced Processing, Sami Znati

Theses

Emerging and existing technologies will require novel approaches to continue advances in development. Heterogeneous integration of next generation materials, such as 2-D materials and III-V semiconductors, onto existing platforms is a critical step to enabling new, better performing devices. Microtransfer printing (µTP) is a promising technique for integrating device coupons onto supportive platforms. InP coupons are integrated into mixed-dimensional structures by printing onto 2-D materials as part of an electronic device. Etching of next generation materials to define device structures is an integral part of any process. Catalytic wet etching is an alternative to dry etching that may offer improvements …

Rebranding Architecture: Understanding Perception To Reinforce Professional Jurisdiction, Amber L. Whitaker

Theses

What is the current perception of the architecture profession, and what is the perception that architects want others to have? In the marketing and communications profession, one might ask, what is the profession’s current brand, and how does that differ from the desired brand? From inconsistent state laws regarding architectural titles, to the potential federal reclassification of the profession, to non-architects’ common misconception that architects merely draw floorplans, the architecture profession is misunderstood, causing an image problem. Although architecture is one of the world’s oldest professions, this image problem often translates into deep misunderstanding of what architects do, ultimately affecting …

Accelerometer-Based Longitudinal Center Of Gravity Estimation With Lateral Acceleration Compensation, John Wynne

Theses

Spatially separated accelerometers and measured rotational motion can enable estimation of an aircraft’s longitudinal center-of-gravity (CG) location. Because the unrestricted rigid-body governing equations form an underdetermined system, the problem is reduced by assuming known lateral and vertical CG coordinates. The resulting estimator uses the lateral acceleration equation, where sensitivity to longitudinal CG is governed by the rotational excitation term 𝑀_21 = 𝑝𝑞 + 𝑟̇. Three representations of lateral acceleration at the CG are evaluated: a zero- acceleration assumption, a linear sideslip angle model, and a model based on sideslip angle and true airspeed squared. Each model is calibrated using known …

Archaeal Signal Peptide Prediction Through Integration Of Proteomics And Machine Learning, Anjali Kaur

Theses

Signal peptides are short N-terminal amino acid sequences that direct proteins through cellular secretion pathways and play an essential role in protein localization and function. Computational tools such as SignalP are widely used to predict signal peptides. However, prediction accuracy for archaeal proteins remains lower than for bacterial and eukaryotic proteins, likely because relatively few archaeal proteins were available for model training. The goal of this study was to determine whether expanding the archaeal training data used by SignalP 6.0 could improve archaeal signal peptide prediction. Archaeal proteomics datasets from five archaeal species were analyzed to identify proteins with experimentally …

Evaluation Of Mechanical Properties And Seal Strength Of Medical Packaging Materials Before And After Supercritical Co₂ Sterilization, Camila Madriz Pizarro

Theses

The sterilization of medical devices is critical in the prevention of infections in healthcare settings. Ethylene oxide (EtO), gamma irradiation, and steam sterilization have been the standard sterilization processes in healthcare settings, where the packaging system remains the most important barrier between the sterilized instrument/device. Safety concerns and regulatory pushback on conventional sterilization methods have pushed for further research on new sterilization techniques. Among the emerging sterilization technologies, one candidate that has garnered considerable attention is Supercritical CO2 sterilization. However, there is a lack of literature to support the compatibility between scCO2 and common medical packaging materials. The present study …

Multi-Omic Analysis Of Molecular Changes In Haloferax Volcanii Biofilm Development, Joshua Koller

Theses

Biofilms are the predominant lifestyle of microorganisms and offer protection against environmental stress. Archaeal biofilm development remains poorly understood relative to its bacterial counterpart, and the fundamental differences between these two domains prevent direct extrapolation from bacterial models. To address this gap, we used quantitative proteomics and transcriptomics to characterize the molecular changes accompanying biofilm formation and maturation in the model archaeon Haloferax volcanii. Protein and transcript abundance were measured across seven conditions spanning both lifestyles and multiple timepoints, with glycosylated proteoforms quantified as entities distinct from their unmodified counterparts, covering both established biofilm-associated structures and newly identified candidates. Known …

An Adaptive Wide Current-Load Range Capacitor-Less Ldo With Ultra-Low Power, Will Wright

Theses

Power management circuits are the foundation of any electrical system. They are designed to provide the current necessary for systems to function while keeping the supply voltage constant regardless of operating conditions or external disturbances such as changes in temperature. In modern Systems on Chips (SOC) targeted towards bio-sensing and Internet of Things (IoT) severe constraints appear on the systems level in terms of area and available power. External passive components are very expensive due to the premium of area and the circuits need to use as little power as possible to extend battery life. Traditional Low DropOut regulators (LDOs) …

The Interactions That Shape Us: An Investigation Of The Supernova Engine’S Effect On Bbh Mergers, And Of Stellar Encounters In The Disks Of Active Galactic Nuclei, Zoe A. Rosenberg

Theses

Mergers and other close interactions between astrophysical objects such as black holes and stars are powerful and energetic occurrences, capable of creating heavy elements, forming intriguing remnants, and shaping the populations of stars and compact objects around them. In this thesis, we describe two studies which examine two types of close gravitational events: isolated binary black hole mergers and dynamic stellar interactions in a dense environment. For our first study, we investigate how modifying the speed of convection in the engine behind core-collapse supernova explosions affects the population of merging binary black holes. To get an accurate picture of this …

Investigations Into The Structure-Property Relationships Of Magnetic Fe2mnsn And Gradient Copt Thin Films For Next-Generation Magnetic Technologies, Lance Griswold

Theses

e study of spin-based electronic phenomena, or spintronics, has become increasingly important in materials science and condensed matter physics due to its potentialto enable next-generation magnetic technologies, including advanced memory devices and quantum computing. Central to this field is the relationship between a material’s atomic structure and its physical properties, which requires precise control over synthesis conditions to achieve desired magnetic and electronic behavior. In this work, I investigate the structure–property relationships of several magnetic thin-film systems, each designed to address a specific technological challenge. All films were synthesized using magnetron co-sputtering from elemental magnetic and non-magnetic targets, either at …

Measurement Of Kerr Rotation Using A Variable-Angle Polarizer Method, Shusmita Podder Pooza

Theses

The magneto-optical Kerr effect (MOKE) occurs when polarized light is reflected from a magnetized surface, causing changes in polarization angle (called Kerr rotation) and its state (linear vs elliptical, for example). In a simple version, MOKE measurement involves measuring the intensity of the reflected beam off the surface of a sample as an external magnetic field is swept through it. We record a change in the reflected intensity when the magnetization of the material changes. While easily measurable using modern electronics methods, the Kerr rotation is minimal, only of the order of milliradians (~0.1 deg), and is a characteristic of …

Impact Of Chiral Chain Conformations On The Self-Assembly Of Helical Polymers, Michael J. Grant

Theses

Polymers are a soft material with diverse applications across a spectrum of technologies including, but not limited to, packaging, drug-delivery, optics, lithography and templating. This ubiquity stems from over a century of in-depth theoretical and experimental investigations relating polymer size, stiffness and architecture to their emergent material properties. Interestingly, unlike small organic molecules where solution behavior is predominantly a function of hydrophobicity, in polymers, adjusting the aforementioned features can have a dramatic impact on their interactions with neighboring molecules. In turn, this allows for a tunable parameter space enabling the ability to achieve specific engineering goals. Yet, while the impact …

Design And Verification Of A Reconfigurable Cryptographic Hardware Accelerator, Nicholas Merante

Theses

Cryptographic operations are used throughout computing systems to protect data confidentiality and integrity. Although software implementations provide flexibility, dedicated hardware can offer more predictable execution time and reduce the processing burden placed on a general-purpose processor. This thesis presents the design and verification of a Reconfigurable Cryptographic Hardware Accelerator (RCHA) that integrates AES-128, ChaCha20, SHA-256, and BLAKE2s within a single Verilog/SystemVerilog design. A top-level interface shared by the four cores manages algorithm selection, inputs, outputs, status, protocol errors, cycle measurement, and known-answer self-tests. Verification combined primitive-level tests, integrated UVM regressions, randomized stimulus, directed coverage tests, and OpenSSL-based C++ reference models …

Asynchronous Methods For Reducing Dynamic Power In Sparse Systems, Braley Lachner

Theses

While a strong history of computer development has maximized architecture performance, modern computing is fundamentally constrained by thermal limits and power consumption. This is especially true in power sensitive edge applications, which often have low activity. Asynchronous architectures offer a pathway to take advantage of sparsity within hardware to drastically reduce dynamic power through fine-grain selective activation of only necessary hardware. Despite these advantages, the semiconductor industry relies heavily on Electronic Design Automation (EDA) toolchains, which have been developed with many synchronous assumptions. The traditional overhead and strict incompatibility with standard EDA toolchains have limited adoption of asynchronous technologies in …

Design Of A Continuum Robot Test Bed Utilizing Model-Free Sliding Mode Control, Joseph Paul Streib

Theses

Continuum robots are a class of continually deformable robots inspired by snakes and tentacles that are commonly used in medical, search and rescue, and exploration applications. The robots are highly nonlinear and difficult to accurately model and control. Precise control of the pose of a continuum robot is typically reliant upon a system model. This work introduces a novel model free control algorithm for continuum robots that only relies upon the robot’s position in task space. The derived controller is built upon the foundation of a preexisting model free sliding mode controller and the q-state parameterized piecewise constant curvature kinematic …

Uvm Verification Of A 4-Stage Asynchronous Risc-V Processor, Yashaswini Suresha

Theses

Functional verification often takes more effort than designing the system itself, especially when the design departs from the synchronous, globally clocked style that verification tools assume. Asynchronous or clockless circuits are an example of this. They use local request and acknowledge handshaking instead of a global clock, which reduces dynamic power and eliminates clock-distribution and skew problems. However, this also means that standard verification methods that rely on a single periodic clock no longer apply. This thesis introduces a constrained-random, coverage-driven verification environment for a four-stage asynchronous RISC-V processor. The environment is built in SystemVerilog using the Universal Verification Methodology …