Digital Commons Network^™

Design And Simulation Of Anti-Resonant Hollow-Core Fiber For Sensing Applications, Pravallika Kante

Theses and Dissertations

This thesis presents the design and simulation of an 8-tube single-ring anti-resonant hollow-core fiber for sensing applications, with particular emphasis on methane gas detection at the fundamental absorption wavelength of 3.3 µm. Conventional solid-core silica optical fibers exhibit strong multi-phonon material absorption beyond 2.5 µm, rendering them fundamentally unsuitable for efficient light guidance and direct gas sensing at mid-infrared wavelengths. Anti-resonant hollow-core fibers overcome this limitation by guiding light predominantly through an air-filled hollow core via the anti-resonant reflecting optical waveguide mechanism, in which the thin silica glass walls of the cladding tubes act as Fabry-Pérot etalons that confine the …

Quantifying Noise In Monte Carlo Simulations Of Cosmic Rays In A Shock, Abhro Rahman

Theses and Dissertations

Cosmic rays are a phenomenon known to humankind from the early 1900s, and yet today the details of their physical behavior are not fully settled. While the observed spectral fluxes of cosmic rays follow a power-law trend when plotted against particle energy, the exact mechanisms under which they get to such high energies are still under study. This thesis will undertake a subsection of that task, where the Monte Carlo simulation of particle accelerations is described in Warren (2015), and we aim to identify and quantify the noise inherent in such simulations. This document takes a long path through particle …

Hybrid Machine Learning For Zero-Day Malware Detection: An Adaptive Static-Dynamic Analysis Approach, Garrett Farmer

Theses and Dissertations

In an era of swiftly evolving cyber threats, zero-day malware continues to be one of the most challenging classes of attacks to detect and mitigate. Traditional signature-based methods often fail to detect novel malicious code, leaving institutions vulnerable to unknown exploits. This thesis proposes a machine learning (ML)-based framework that is designed to detect unknown malware variants. By combining both static and dynamic techniques, such as file structure exam ination and sandbox-based runtime analysis, this approach aims to successfully capture malicious characteristics. The proposed custom pipeline addresses the computational overhead that is associ ated with deep inspections, outlining a staged …

Moon Adaptive Technology For Extraterrestrial Architectural Robotics (Matear), Candela Noemi Solis Zampini

Theses and Dissertations

The Moon Adaptive Technology for Extraterrestrial Architectural Robotics (MATEAR) focuses on the development of an autonomous robotic system capable of providing structural building blocks directly from lunar regolith. As a sustained human presence on the Moon becomes a necessity, the costly and limited payload capacity associated with transporting construction goods from Earth creates a critical challenge. MATEAR addresses this problem through in-situ resource utilization (ISRU), integrating a regolith processing system onto a remote operated vehicle. The proposed system is designed to collect lunar dust, mechanically compact the material, and apply thermal treatment to enhance cohesion through sintering. These regolith-made bricks …

Voices From The Classroom: Elementary Teachers’ Perspectives On Teaching And Learning During The Covid-19 Pandemic – A Case Study And Autoethnography, Alicia Lopez-Hernandez

Theses and Dissertations

Guided by constructivist learning theory and sociocultural theory, this qualitative case study and autoethnography examines how bilingual educators constructed knowledge, adapted instructional practices, and utilized mediational tools within face-to-face, online and hybrid learning environments. These frameworks informed the study’s design, data analysis, and interpretation of findings related to pedagogy, technology integration, and student engagement. Data was collected through semi-structured interviews, naturalistic observations, and autoethnographic reflective journaling.

Elementary Teachers' Culturally Responsive Strategies For Fostering Critical Thinking In Science Instruction With Emergent Bilinguals, Lydia Stella Ratel

Theses and Dissertations

This phenomenological study explored the lived experiences of bilingual and English as a Second Language (ESOL)-certified elementary teachers as they fostered critical thinking among emergent bilingual (EB) students in grades 3–5 science classrooms. Grounded in culturally responsive pedagogy, translanguaging, funds of knowledge, and critical thinking theory, the study examined how teachers made sense of instructional decision-making and EB students’ scientific reasoning within accountability-driven educational contexts.

Data were collected through in-depth, semi-structured interviews with elementary teachers serving emergent bilingual students in South Texas public schools. Phenomenological analysis was used to identify shared meanings across participants’ descriptions of instructional practices, language use, …

Exploring Servingness Through Pedagogy: A Critical Case Study Of An Hispanic Serving Institution, Yemin Sánchez

Theses and Dissertations

This critical ethnographic case study advances current understandings of what it means to teach at an Hispanic Serving Institution (HSI) and how faculty enact servingness within an HSI enrolling high indices of Latin@/Hispanic students. Drawing on decolonial, culturally sustaining and liberatory pedagogical frameworks, this study interrogates how constructs such as Hispanic, Latin@/Latinx, or coloniality shape the pedagogical conditions under which faculty operate. Using pláticas with ten faculty members, this research study demonstrates servingness is not a technique or an institutional designation, instead, it is a fluid and deeply humanizing ecology with five mutually reinforcing dimensions: Servingness as Relational Praxis, Servingness …

Analyzing Criteria Air Pollutants And Meteorological Parameters In The Rio Grande Valley, Laredo, And Corpus Christi Region Of South Texas, Angela Garcia

Theses and Dissertations

Recently, the Rio Grande Valley has experienced significant population growth due to economic opportunities, cross-border commerce, SpaceX, and the Rio Grande and Texas liquid natural export terminal presence. The Rio Grande Valley has an estimated population of 1,368,723. This region is largely understudied, along with nearby urban centers such as Laredo and Corpus Christi. The Rio Grande Valley and Laredo regions are a concern due to their population growth and heavy cross-border transportation. Data from the Texas Commission of Environmental Quality Continuous Ambient Monitoring Sites was collected from January 1st , 2024, to December 31st, 2024. Statistical analysis, such as …

Vision-Language Guided Quadruped Navigation With Reinforcement Learning Control, Chen Yuan Wang

Theses and Dissertations

Large Language Models and their multimodal variants, Vision-Language Models (VLMs), can interpret natural language instructions and visual context. Reinforcement Learning (RL) methods such as Proximal Policy Optimization (PPO) have been shown to successfully learn stable quadruped locomotion. This work investigates whether a VLM integrated with an RL controller can control a quadruped robot to perform instruction-following navigation to a predefined target using text instructions, egocentric vision, and proprioceptive state.

Most VLM-based robotics work directly target prediction of robot actions from multimodal inputs. This approach often depends on large amounts of expert demonstration data, generated by controllers such as trained RL …

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

Electronic Theses and Dissertations

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

A Qualitative Study On Exploring The Underrepresentation Of Women Of Color In Fortune 500 Executive Leadership, Cherrese J. Belt

Electronic Theses and Dissertations

In this study the researcher examined the persistent underrepresentation of women of color in senior leadership roles within Fortune 500 companies. Despite the increasing number of highly qualified women of color, access to executive-level leadership opportunities remains disproportionately limited. The purpose of this qualitative phenomenological study was to explore the barriers experienced by women of color in advancing to senior leadership positions and to identify strategies used to navigate these barriers. The researcher collected data through semistructured interviews with 10 women of color in management and senior leadership roles, each with over 15 years of professional experience in the United …

Cultivating Diversity: Investigating Hispanic College Students’ Attitudes Toward Teaching Amid The U.S. Teacher Shortage Crisis, Daniela Andrea Hernandez

Electronic Theses and Dissertations

The underrepresentation of Hispanic teachers in U.S. public education remains a significant concern as Hispanic students comprise a growing proportion of the K–12 population. Despite this demographic shift, the educator’s workforce has not reflected the cultural and linguistic backgrounds of the students it serves. The purpose of this qualitative descriptive study was to explore first- and second-year Hispanic college students’ perceptions of teaching as a profession and to examine how their educational and personal experiences influenced their career interests. The study was informed by social cognitive career theory and culturally relevant teaching theory to better understand how self-efficacy, outcome expectations, …

Weavecc: Symbolically-Guided Joint Exploration Of Inputs And Schedules For Concurrency Bug Detection, William Philip Dinauer

Dartmouth College Master’s Theses

Concurrent programs introduce a class of bugs that depend jointly on both program inputs and thread schedules. Exposing these bugs requires simultaneously reasoning about which code paths are reachable and which thread interleavings are possible. At the same time, many existing tools handle the problem insufficiently. Race detectors observe only the interleavings that the OS happens to produce. Fuzzers explore inputs without controlling schedules. Tools that address both dimensions together exist, but are built on interpretation-based symbolic executors that incur considerable overhead.

We present WeaveCC, a practical concurrency testing tool for C/C++ programs that jointly explores inputs and thread schedules. …

Assessment Of Mississippi Landfill Capacity In Relation To Waste Generation And Land-Use Constraints, Jason C. Anderson

Master's Theses

Municipal solid waste (MSW) management presents a growing challenge in Mississippi as population trends, socioeconomic change and regional development continue to place pressure on existing landfill capacity. This thesis examines waste generation and disposal patterns from 2000 through 2022 across Mississippi counties, with projections extending to 2050. Historical landfill tonnage data was gathered and compiled from the Mississippi Department of Environmental Quality (MDEQ) and analyzed using regression models in Excel and RStudio, with forecasts generated for both in-state and out-of-state waste flow. Results highlight significant variations among landfills, including differing closure timelines, changing county service areas and notable shifts in …

Quantifying Discard Mortality Of Undersized And Ovigerous Crabs In The Gulf Of Mexico Blue Crab Fishery, Micayla Cochran

Master's Theses

Blue crabs support a valuable commercial fishery in the Gulf of Mexico. Most states require the release of undersized and ovigerous blue crabs, yet mortality of these discarded crabs is an understudied component of total mortality. The first objective of this project was to quantify discard mortality of non-target crabs using bycatch surveys across the Lake Pontchartrain–Mississippi Sound coastal system. Ovigerous crabs were most common at high salinities and temperatures, whereas undersized crab presence was inversely correlated with soak time, temperature, and the number of crabs per trap, and also varied among geographic locations. A reflex action mortality prediction assessment …

Modeling The Effects Of Low-Pressure Atmospheric Fronts On Sediment Transport Through Mississippi Sound Barrier Island Inlets, Nicholas J. Gagliano

Master's Theses

Coastal sediment dynamics in the Mississippi Sound are strongly influenced by tropical cyclones and the more frequent passage of low-pressure atmospheric fronts. While hurricanes are well recognized for reshaping barrier islands and altering sediment budgets, the cumulative role of recurrent fronts remains poorly quantified. This thesis investigates the impacts of six low-pressure atmospheric fronts (2015–2017) on sediment flux through six barrier island inlets in the Mississippi Sound.

A high-resolution application of the Regional Ocean Modeling System with the Community Sediment Transport Modeling System was developed to simulate tidal circulation, wind-driven currents, and sediment dynamics. Waves were excluded from the simulations. …

Dirt Finder (Drtfndr): A Marketplace Application For Construction Earthwork, Evan A. Reed

Construction Management

The construction industry regularly produces a surplus of earthwork materials: clean fill, topsoil, gravel, and crushed concrete, that are disposed of at considerable cost. All the while, contractors actively seek those same materials, and no dedicated digital platform existed to connect these two groups efficiently. DrtFndr ("Dirt Finder") is a mobile-first web application developed to address this gap, providing a marketplace where contractors can post available or needed earthwork materials, browse geographically filtered listings by material type and proximity, and connect directly with other users. The application was built using Base44, an AI-powered application development platform, and includes real-time mapping, …

Good Life Automobility: Cultural/Rhetorical Resistance And Persistence Of Us Car Hegemony, Trinity O. Thompson

Department of Communication Studies: Dissertations, Theses, and Student Research

This project takes the car as a historical signifier of a rhetorical racialization process that enables a hypermobile white, masculine, neoliberal identity that pervades conceptions of mobility in the West. I locate these overlapping social formations under a cultural logic of good life automobility (GLA) that positions cars, a quintessential form of private property, as a motivator for a contemporary “good life” citizenship identity that cultivates neoliberal subjectivities of free movement and market consumption in contempt of socialized and racialized public transit futures. The introduction chapter elaborates on the boundaries of GLA while also contextualizing the two analysis chapters through …

Skip The Grid: Turning Solar Planning Into Power For Navajo Nation Homes, Alexandr B. Miller

Construction Management

Skip the Grid is a cross-disciplinary experiential learning initiative that delivers clean energy infrastructure to households with school-age children residing in the Navajo and Hopi Nations. In March 2026, a cohort of 23 students drawn from five academic programs at California Polytechnic State University (Cal Poly) joined forces with Heart of America (HOA), SOLV Energy, and NextPower to carry out the initiative's fifth consecutive year. The program aimed to enhance living standards and bolster academic achievement by ensuring dependable access to power, illumination, and food preservation in resource-limited communities. Participants were divided into five installation teams comprising Cal Poly students, …

Sb 1953 Field Execution Under Hcai Oversight: Seismic Retrofit At Zsfg Building 5, Victor Lucas

Construction Management

Every hospital in California must be seismically compliant by 2030 under Senate Bill 1953, which is enforced by the Department of Health Care Access and Information (HCAI). HCAI approves and inspects all hospital construction in the state, and its authority reaches into the field, so a contractor cannot simply build to an approved drawing the way it would on a commercial job. This paper explains how that approval system governs the work, written for construction professionals entering hospital work in California whose experience to that point has been commercial. It uses the ZSFG Building 5 Voluntary Seismic Upgrade, a 1976 …

Preconstruction Services For Slo Youth Baseball Bull Pen And Batting Cage, Sofia E. Cuevas

Construction Management

San Luis Obispo Youth Baseball is a nonprofit organization servicing the local youth of San Luis Obispo, California. Offering recreational, all-star, and club programs, SLO Youth Baseball provides the experience of baseball to all levels of skill in the community. In preparation for the Spring 2026 season and beyond, SLOYB has proposed the construction of a bull pen and batting cage on the third base line at their very own Stockton Field. In order to service the community at large, this design came with a set of strict parameters: accessibility, longevity, and serviceability. In doing so, SLOYB has requested flexibility …

Sheep Pen Improvements At City Farm Slo, Ryan S. Bodmer

Construction Management

City Farm SLO is an urban non-profit educational farm located in San Luis Obispo, CA. It serves the community through offering farm learning programs, including hands-on experience in sustainable farming practices and livestock care. This project, completed over the winter and spring quarters, focused on delivering an upgraded sheep pen to improve access and safety for both volunteers and sheep. The project consisted of developing design plans, coordination of materials and allowable working times with the owner, where the animals were either moved out of the working area or when work would not jeopardize animal health, schedule creation, cost estimates, …

The Impact Of Community On Professional Identity In Computer Science Education, Ian A. Kollipara

School of Computing: Dissertations, Theses, and Student Research

This thesis explores the application of Communities of Practice (CoPs) in Computer Science Education. The work consists of two qualitative studies examining related but distinct populations: (1) K–12 CS teachers and (2) undergraduate CS students. The first study presents a retrospective analysis of conneCTION, an online CoP for K–12 CS educators, identifying strengths, weaknesses, and design considerations that inform future platform development. The second study investigates how participation in a CoP can mitigate negative and exclusionary stereotypes in CS. This study was conducted in an under-explored context: a small, private, religious, Midwestern university, and examines an existing community, the Programming …

A Webcam Eye Tracking Infrastructure For Software Engineering Tasks, Zachary M. Kozak

School of Computing: Dissertations, Theses, and Student Research

Performing eye tracking utilizing commodity webcams has been explored for over a decade, but limited camera quality and sensitivity to head movements have hindered its adoption in research settings. Recent advances in consumer-grade webcams and machine learning methods present an opportunity to improve the accuracy of webcam eye tracking and extend the feasibility of studies beyond controlled laboratory environments.

Current popular webcam eye tracking methods restrict implementations to the browser and rely on continuous user interactions for calibration, limiting the kinds of studies that can be conducted. This thesis presents a feature-based gaze prediction system that incorporates eye geometry and …

Detecting Doubt In Reflective Learning: A Learning Analytics Study With Large And Small Language Models, Eng Lieh Ouh, Kar Way Tan, Siaw Ling Lo, Yuhao Zhang

Research Collection School Of Computing and Information Systems

Reflective learning enhances understanding, especially when instructors promptly address difficulties raised in student reflections. Automated doubt detection can reduce time for instructors, yet existing classification approaches take substantial time for manual annotation and model training. This paper investigates whether large and small language models (LLMs, SLMs) can automate doubt detection without time-consuming training. Using a dataset of anonymized student reflections, we evaluate zeroshot, few-shot prompting, and multi-step reasoning against prior supervised classification baselines. We show that LLMs (GPT-4o, Claude-4, Gemini-2.5) surpass earlier F1 scores without prompting, while prompting further improves their performance. However, using proprietary LLMs can raise cost and …

The Influence Of Composition On Porosity And Strength In Planetary Analog Saline Ices, Tara C. Tomlinson

Dartmouth College Ph.D Dissertations

This thesis investigates how composition influences the physical structure and mechanical behavior of saline ice, with implications for both terrestrial sea ice and the ice shells of ocean worlds such as Europa and Enceladus. This is done through a multi-pronged approach of both numerical modeling and laboratory experiments. Modeling results re- veal that small-scale parameter variations in porosity, permeability, and permeability fac- tor may produce large discrepancies when extrapolated to planetary scales, underscoring the need for improved experimental constraints on pore connectivity and thermochemical conditions. Laboratory analyses show that while total porosity is relatively uniform with depth, it varies strongly …

Reward Representation Learning, Gregory M. Hyde

Dartmouth College Ph.D Dissertations

The \emph{Markov decision process} (MDP) has long served as the canonical model for sequential decision-making. However, it assumes that the reward function is Markov with respect to a given state representation---an assumption that often does not hold in practice. Instead, agents typically only perceive streams of observations and actions and must infer the latent structure according to which reward unfolds over time. From this perspective, reward prediction is initially non-Markov, reflecting a mismatch between the agent's current representation and the underlying structure of the environment.

In this thesis, we advance the view that reward is not simply a signal to …

The Legal Framework For Direct Ocean Carbon Capture And Storage (Volume 2: The United States), Korey Silverman-Roati, Romany M. Webb

Sabin Center for Climate Change Law

This paper, the second in a series of two, focuses on the U.S. legal framework for the marine carbon dioxide removal (mCDR) approach of direct ocean carbon capture and storage (DOCCS). The first explores DOCCS governance under international law and is available here: https://scholarship.law.columbia.edu/sabin_climate_change/271/.

DOCCS aims to remove some of the carbon currently stored in the ocean and thereby enable it to uptake additional carbon dioxide from the atmosphere. DOCCS is still undergoing research, but early studies suggest it could have significant carbon dioxide removal potential. However, DOCCS could also present environmental and other risks, including from the construction …

Building Services Engineering March/April 2026

Building Services Engineering

No abstract provided.

Engineering Translational Biosensing Tools Forparkinson’S Disease, Mercedes Terry

Theses and Dissertations

Parkinson’s disease is a progressive neurodegenerative disorder characterized by motor dysfunction and early cognitive decline. Diagnosis and monitoring remain largely symptom-driven, relying on clinical scales that capture disease only after significant neurodegeneration has occurred. These assessments are inherently subjective, episodic, and insensitive to early-stage pathology, limiting both timely diagnosis and the ability to track disease progression or therapeutic response. The lack of objective, quantitative biomarkers for both molecular pathology and cognitive impairment remains a major barrier to advancing precision medicine approaches in Parkinson’s disease. This dissertation approaches Parkinson’s disease from two complementary fronts: molecular detection of alpha-synuclein pathology and quantitative …