Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Masters Theses

Discipline
Institution
Keyword
Publication Year
Publication Type

Articles 1 - 30 of 4902

Full-Text Articles in Entire DC Network

The Resurrection And The Death Of Naturalism: A Philosophical And Historical Defense Of A Supernatural Event, Michael A. Youngwood Sep 2026

The Resurrection And The Death Of Naturalism: A Philosophical And Historical Defense Of A Supernatural Event, Michael A. Youngwood

Masters Theses

This thesis evaluates the resurrection of Jesus as a historical hypothesis within a comparative historiographical framework. Rather than presupposing either naturalism or supernaturalism, the study distinguishes metaphysical commitments from historical methodology and evaluates competing explanations according to consistent criteria derived principally from C. Behan McCullagh’s account of historical explanation. After establishing the historical phenomena requiring explanation, the study examines several principal naturalistic hypotheses, including hallucination, legendary development, apparent death, and conspiracy, before evaluating the resurrection hypothesis according to the same standards. The analysis considers explanatory scope, explanatory power, plausibility, coherence, consistency with background knowledge, and freedom from ad hoc assumptions. …


A New Understanding Of The Tension Between Evil And Divine Greatness: An Application Of Existential Ontology To Christian Apologetics, William A. Blea Sep 2026

A New Understanding Of The Tension Between Evil And Divine Greatness: An Application Of Existential Ontology To Christian Apologetics, William A. Blea

Masters Theses

This thesis is an examination of the potential integration of existential ontology into classical Christian apologetics. Pulling from philosophers like Nietache, Kierkegaard, and Heidegger to construct a framework that understands greatness as the overcoming of a being's context and evil as the relational, moral, and cosmic opposition to the order established by the divine Logos. This framework then allows for an identification of Christus Victor as God’s decisive response to evil. This thesis argues that a properly integrated framework may work to collapse the problem of evil from its metaphysical foundation: the contradiction between God's greatness and the existence of …


Past The Watchful Dragons: How C. S. Lewis’S Fiction Humanizes The Analytical Framework Of The Problem Of Pain, Charlotte L. Hambrick Aug 2026

Past The Watchful Dragons: How C. S. Lewis’S Fiction Humanizes The Analytical Framework Of The Problem Of Pain, Charlotte L. Hambrick

Masters Theses

C. S. Lewis was one of the 20th century’s greatest Christian apologists. Writing across multiple genres—from academic literary criticism to lay sermons, and from philosophical and theological analysis to several kinds of fiction—his impact on Christian thought remains profound. This thesis analyzes Lewis’s approach to the intellectual problem of evil in The Problem of Pain and demonstrates how he makes those starkly cold, prickly concepts more warm, human, and relatable in several of his works of fiction. It will first consider Lewis’s personal history with death, abuse, war, and grief, showing how his lived experiences with pain shaped his thinking …


Co-Dominion: The Changing Nature Of The Adamic Covenant In An Age Of Artificial Intelligence, Corey Hastings Aug 2026

Co-Dominion: The Changing Nature Of The Adamic Covenant In An Age Of Artificial Intelligence, Corey Hastings

Masters Theses

Theologians and religious bodies attest to the rising influence of artificial intelligence (AI) in governments, the economy, and the lives of the people of God. Through the covenant with Adam, God gave humans the blessing of dominion and capabilities unique to creation to till the earth. Today, humans retain the image of God but AI increasingly displaces human functions with coordinated agency. Using Hebrew language exegesis of passages from Genesis, Exodus, and Leviticus, this study compares capabilities gifted to humans with the scope of current and near future AI models. It incorporates direct artifact analysis of a large-language model as …


Locker Room To The Classroom, Bert Wicks Aug 2026

Locker Room To The Classroom, Bert Wicks

Masters Theses

This thesis sought to explore the feasibility of using graduated collegiate athletes to supplement teaching populations to mitigate the teaching shortage in America. The researcher interviewed five professionals in education and five current college athletes to assist in answering two research questions. What are the perceptions of school administrators regarding the employment of former collegiate athletes as public-school teachers, in comparison to educators with formal academic training in education, and what are the attitudes of current and former collegiate athletes on the prospects of pursuing careers in public school teaching relative to employment opportunities aligned with their academic major were …


Creating An Updated Risc-V Platform With Hypervisor Support, Carter A. Glatt Aug 2026

Creating An Updated Risc-V Platform With Hypervisor Support, Carter A. Glatt

Masters Theses

Virtualization has become an important methodology for implementing security and efficiency in embedded systems design. Virtualized environments provide flexibility and scalability of user-space environments, as hardware capabilities allow for multiple environments to run concurrently using the same hardware without impacting system performance or cost metrics. The ability to implement virtualized environments is fundamentally based on the instruction set architecture (ISA), which implements the necessary commands to facilitate the interface between physical hardware and virtual components.

RISC-V is an open-source ISA that can be used to generate platforms that support virtualization through the use of the H-Extension ISA. Previous research into …


Lightweight End-To-End Cryptographic Framework With Semantic Qos For Ar-Based Telesurgery, Pavan Kumar Satram Aug 2026

Lightweight End-To-End Cryptographic Framework With Semantic Qos For Ar-Based Telesurgery, Pavan Kumar Satram

Masters Theses

This thesis presents the design, implementation, and evaluation of a lightweight end-to-end cryptographic framework integrated with a semantic quality-of-service classification system for augmented reality based telesurgery. Telesurgery can deliver expert surgical care to underserved populations, but adoption has been limited by unresolved cybersecurity, network performance, and resilience challenges. The core tension is that strong encryption adds latency that may exceed the clinical safety threshold, while unencrypted systems remain vulnerable to attacks that could endanger patients during live procedures.

The framework addresses this tension through a dual-edge security middlebox that performs per-flow encryption using semantically selected ciphers: AES-128-GCM for latency-critical haptic …


Gertrude, A Woman Set Apart: Chosen Beyond Expectation In Polarized Womanhood, Jessica Lorriane Weatherford Mattison Jun 2026

Gertrude, A Woman Set Apart: Chosen Beyond Expectation In Polarized Womanhood, Jessica Lorriane Weatherford Mattison

Masters Theses

This thesis introduces the artistic vision and research that guide Forever Skies. The text examines the political and personal landscapes that shape Gertrude, the historical realities of the WASP program, and the feminist frameworks that illuminate how women navigated gender, war, and expectation. In weaving these elements together, the goal is not merely to resurrect one woman’s incredible story, but to honor the nearly forgotten history of a generation of pilots. Through creative interpretation and scholarly inquiry, this project seeks to reclaim a legacy still suspended in the wide, forever sky that once held her, the WASP, and her forever …


The Relationship Between Musical Aptitude And Multiple Intelligences In High School Music Students, Rachel Connor Jun 2026

The Relationship Between Musical Aptitude And Multiple Intelligences In High School Music Students, Rachel Connor

Masters Theses

This quantitative correlational study examines the relationship between musical aptitude, measured by Edwin Gordon’s GIA assessments, and students’ predominant multiple intelligences (MIs), as defined by Howard Gardner. Although MI has been widely researched, little is known about how intelligence strengths relate specifically to musically adept students. High school music students at Fayetteville Christian School in Fayetteville, NC, were first assessed using the GIA to identify those demonstrating musical aptitude. Eligible students then completed the AMI R/ARCH Profile to determine their strongest MI. A correlational analysis examined whether specific intelligence strengths are commonly associated with musical aptitude. Grounded in Gardner’s MI …


Knowledge To Freedom: Implications Of Race, Gender, Socioeconomic Status, And Spiritual Health On Adolescent Well-Being Under Westernization, Doralis Maria Allen Jun 2026

Knowledge To Freedom: Implications Of Race, Gender, Socioeconomic Status, And Spiritual Health On Adolescent Well-Being Under Westernization, Doralis Maria Allen

Masters Theses

The aim of the current study was to extend the understanding of the well-being of adolescents and to further information on the psychological relationships between wellbeing, spiritual health, intersectionality, and Westernization. A total of 315 students from the University of Louisiana at Lafayette were recruited via SONA to participate in a study entailing of a five-part online survey through Qualtrics, and 301 respondents in total were measured. The survey measured five aspects of each participant’s health through the perspective of their adolescent selves; well-being, spiritual health, subjective socioeconomic status, and their perception of their race/ethnicity and gender. Well-being is a …


Analyzing Speeding-Related Crash Severity On Louisiana’S Highways, Nelly Akweley Ankrah Jun 2026

Analyzing Speeding-Related Crash Severity On Louisiana’S Highways, Nelly Akweley Ankrah

Masters Theses

Speeding is a major contributing factor to roadway crashes and remains a significant safety concern. Understanding the factors influencing speeding crash severity and how they vary across roadway environments is essential for developing effective safety countermeasures. A total of 22,151 speeding-related crashes recorded in Louisiana between 2015 and 2024 were analyzed. Crashes were categorized by FHWA functional classification into three roadway groups: Interstates and Principal Arterials, Minor Arterials and Collectors, and Local Roads. Four spatial machine learning models, GXGBoost, SDT, GRF, and GeoKNN, were evaluated to classify crash severity outcomes, as traditional models do not account for the spatial dependence …


Automating Distillation Column Internals Design Via Reinforcement Learning: A Hybrid Action Space Approach, Holden B. Broussard Jun 2026

Automating Distillation Column Internals Design Via Reinforcement Learning: A Hybrid Action Space Approach, Holden B. Broussard

Masters Theses

Distillation columns are the most used separation technique in all chemical fields. The design of column internals presents a hybrid action space problem, where trayed internal parameters are continuous and packed parameters are discrete; Hybrid meaning the action space consists of both discrete and continuous design parameters. Hybrid action spaces have presented a challenge in the reinforcement learning space, since the most robust algorithms are designed to handle specific action types. This research develops and validates a hierarchical multi-agent reinforcement learning framework that divides the action spaces into different agents. The Controller agent selects between internal types, the Soft Actor- …


Hyperdimensional Computing For Edge And Mobile Devices, Colin Eddy Dupuis Jun 2026

Hyperdimensional Computing For Edge And Mobile Devices, Colin Eddy Dupuis

Masters Theses

This thesis presents a set of four Hyperdimensional Computing (HDC) frameworks and their Android application implementations to evaluate efficiency and feasibility on resource-constrained devices. These proposed methods target a range of application domains, including wearable health monitoring, mobile malware detection, and activity recognition utilizing both computer vision and multiple sensor streams as input. The proposed frameworks utilize HDC’s simple, lightweight arithmetic operations to convert raw data into high-dimensional representations for use in both binary and multi-class classification schemes. Each method utilizes unique encoding techniques tailored for each use case, demonstrating the flexible nature and specialization HDC offers as an emerging …


Emerging Catalysts And System Designs For High-Current-Density Co2 Electroreduction To Multicarbon Fuels And Chemicals Toward Industrial-Scale Applications, Godwin Uche Edor Jun 2026

Emerging Catalysts And System Designs For High-Current-Density Co2 Electroreduction To Multicarbon Fuels And Chemicals Toward Industrial-Scale Applications, Godwin Uche Edor

Masters Theses

Electrochemical CO2 reduction (eCO2RR) offers a sustainable route to convert CO2 into value-added fuels and chemicals, particularly multicarbon (C2+) products due to their higher energy density and economic value compared to C1 counterparts. Industrial adoption of eCO2RR technology is hindered by the difficulty in stably reaching superior Faradaic efficiency (FE) for C2+ products at ≥ 200 mA cm-2 at low applied overpotential due to sluggish C–C coupling kinetics, competing reactions, and catalyst instability. Hence, we examine the recent advances in eCO2RR catalyst engineering strategies, such as nanostructural and electronic modifications of Cu-based catalysts (e.g., interfacial, surface, facet, and defect engineering, …


Micro-Hyperspectral Imaging Of Phytoplankton Enables Deconvolution Of Mixed Communities For Spaceborne Hyperspectral Remote Sensing, Chisom Okwuchi Emeghiebo Jun 2026

Micro-Hyperspectral Imaging Of Phytoplankton Enables Deconvolution Of Mixed Communities For Spaceborne Hyperspectral Remote Sensing, Chisom Okwuchi Emeghiebo

Masters Theses

Characterizing phytoplankton diversity is critical for large-scale biodiversity monitoring and harmful algal bloom (HAB) detection. Here, we present a micro hyperspectral imaging method to characterize reflectance signatures, for the first time across major phytoplankton groups. Spectral variability among taxa in laboratory cultures is interpreted using algal pigment and absorption analyses, demonstrating that pigment composition and absorption govern reflectance features. Chlorophytes and cryptophytes exhibit distinct spectral signatures and are readily distinguishable, whereas diatoms and dinoflagellates show greater spectral similarity, with differentiation relying on subtle reflectance features associated with chlorophyll c₁c₂ near ~463 nm and within 620–650 nm. We further applied this …


Geological Carbon Storage In Deep, Low Permeable Shale Reservoirs: Insights From The Haynesville Formation, Louisiana, Himakshi Goswami Jun 2026

Geological Carbon Storage In Deep, Low Permeable Shale Reservoirs: Insights From The Haynesville Formation, Louisiana, Himakshi Goswami

Masters Theses

As global initiatives to mitigate greenhouse gas emissions intensify, depleted unconventional shale gas formations have emerged as critical candidates for large-scale geological carbon storage (GCS). This study investigates the feasibility, dynamic trapping mechanisms, and operational optimization of CO₂ sequestration in deep, low-permeability shale reservoirs, using the Upper Jurassic Haynesville Shale in northwest Louisiana as a comprehensive case study. Compositional reservoir simulation (CMG GEM 2021.10) was performed using the SPE Haynesville dataset, with CO₂ injected at a rate of 10,000 ft³/day across single and multiple depth intervals spanning 11,290–11,314 feet. Results demonstrate that multi-depth injection significantly improves residual trapping, reduces buoyancy-driven …


Linking Greenhouse Gas Fluxes And Plant Responses To Saltwater Intrusion Events Using Remote Sensing, Madeline Jean Moore Jun 2026

Linking Greenhouse Gas Fluxes And Plant Responses To Saltwater Intrusion Events Using Remote Sensing, Madeline Jean Moore

Masters Theses

As sea level rise and coastal subsidence increase coastal Louisiana's vulnerability to saltwater intrusion (SWI) events, accurate and rapid monitoring of vegetation responses to these events is becoming increasingly important. In this study, we utilized unmanned aerial vehicle (UAV) multispectral imagery to assess short-term vegetation responses to simulated SWI events in the Visser’s Experimental Wetland Complex in Saint Martinville, Louisiana. Vegetation patches of two common freshwater wetland species, Panicum hemitomon (Maidencane) and Typha domingensis (Southern Cattail), were exposed to 5 ppt salinity for 6-, 10-, and 17-day durations. Multispectral imagery of both species was collected before and after each SWI …


Classifying Storm Surges Along Louisiana Coast Using Machine Learning, Faith Ewere Okunbor Jun 2026

Classifying Storm Surges Along Louisiana Coast Using Machine Learning, Faith Ewere Okunbor

Masters Theses

Storm surges are among the most significant threats to coastal wetlands, causing flooding and saltwater intrusion that alter hydrology, vegetation structure, and long-term ecosystem resilience. Along the Louisiana coast, storm surge effects vary depending on storm behavior, shoreline geometry, and marsh hydrologic connectivity, yet are commonly characterized using broad storm metrics rather than site-specific environmental responses. This study develops a data-driven framework to classify storm surges across coastal Louisiana wetlands using observations from the Coastwide Reference Monitoring System (CRMS). Hourly water-level and salinity time series from twelve hurricanes (2007-2024) were analyzed using a 40-day storm-centered window. Hydrologic and salinity metrics …


Optimizing Co₂ Wag Flooding Parameters For Enhanced Oil Recovery And Formation Damage Control In Asphaltene Reservoirs Using Soft Experimentation, Derrick Amoah Oladele Jun 2026

Optimizing Co₂ Wag Flooding Parameters For Enhanced Oil Recovery And Formation Damage Control In Asphaltene Reservoirs Using Soft Experimentation, Derrick Amoah Oladele

Masters Theses

CO₂ Water Alternating Gas flooding has become an important enhanced oil recovery process in increasing oil production in medium to heavy oil reservoirs. However, CO₂ injections have the potential to cause asphaltene destabilization, leading to precipitation, deposition, and pore plugging. This study evaluated and optimized the effect of CO₂ flooding parameters to maximize oil recovery and minimized formation damage. Eclipse 300 compositional reservoir simulator was used to assess the effect of CO₂ Water Alternating Gas (WAG) Injection Rate, WAG Ratio, and CO₂ Water Alternating Gas (WAG) Injection Pressure on the reservoir. Predictive models for Cumulative Oil Production (FOPT) and Asphaltene …


Regioselective Tellurination Reactions And Their Utilities, Itunu Comfort Olanrewaju Jun 2026

Regioselective Tellurination Reactions And Their Utilities, Itunu Comfort Olanrewaju

Masters Theses

This thesis provides a comprehensive study of regioselective tellurination and its applications by integrating experimental and computational techniques, with an aim of synthesizing libraries of organotellurium heterocycles. This study addresses existing challenges in regioselective tellurination, such as unpredictable regioselectivity and avoidance of toxic reagents by harnessing intramolecular Te…O coordination and electrophilic aromatic tellurination. This strategy enables the development of previously poorly accessible compounds including benzotellurazinones, 2-acylaminobenzotellurazoles, and previously unknown 2,3-dihydrobenzo [b] oxatelluranes, which were prepared by antiMarkovnikov anti-addition of TeCl4 to C-C triple bonds. Experimental studies were complemented by computational DFT analyses to provide mechanistic and energetic insight into the …


Stratigraphic Distribution Of Pleistocene Aves At Fossil Lake In Lake County, Oregon, Cole Bradley Phillips Jun 2026

Stratigraphic Distribution Of Pleistocene Aves At Fossil Lake In Lake County, Oregon, Cole Bradley Phillips

Masters Theses

The Fossil Lake locality in south-central Oregon is rich in many species of fossil remains and is also home to packages of sandstone that grade upward into finer siltstone or claystone. These packages have been interpreted to represent rising and falling lake levels as a result of glacial transgressive and regressive sequences. The fossil vertebrates and invertebrates have also fluctuated because of the different climates at Fossil Lake. Although the stratigraphic distribution of most classes of animals have been determined, fossil birds have not. Here, the distribution of 329 avian fossils is presented in the stratigraphic framework. The species were …


Disparities In The Identification Of Vulnerable Communities Due To Design Storm Methods: A Case Study In The Vermilion River Watershed, South Louisiana, Usa, Claire Orgeron Jun 2026

Disparities In The Identification Of Vulnerable Communities Due To Design Storm Methods: A Case Study In The Vermilion River Watershed, South Louisiana, Usa, Claire Orgeron

Masters Theses

Accurately identifying socially vulnerable populations at-risk of flooding is critical for equitable disaster mitigation and planning. This study investigates how the selection of design storm method, which is fundamental to developing flood risk maps used for this identification, influences which socially vulnerable populations are recognized as being at elevated flood risk. The most widely used design storm approach relies on National Oceanic and Atmospheric Administration (NOAA) Atlas 14 point-based rainfall frequency estimates. These estimates are typically applied spatially using areal reduction factors, thereby disregarding rainfall spatial variability in real storms. Stochastic Storm Transposition (SST), an alternative design storm approach that …


Ai-Aided Instructional Framework For Multilingual Learners (Aim-Framework), Boulbaba Abdeljaouad May 2026

Ai-Aided Instructional Framework For Multilingual Learners (Aim-Framework), Boulbaba Abdeljaouad

Masters Theses

This thesis presents EduAtlas, a human-centered AI system that integrates a mobile lesson planning application with wearable smart glasses to support teachers in multilingual classroom environments. The system enables teachers to generate structured lesson plans with multilingual scaffolds and receive real-time instructional support during classroom sessions through a wearable interface. Unlike autonomous systems, EduAtlas is designed to operate collaboratively with teachers, who retain control over all AI-generated suggestions.

The lesson planning component uses large language models and multimodal generation to produce standards-aligned lesson plans, visual aids, and multilingual supports. The wearable component utilizes teacher-triggered audio capture to analyze classroom interactions …


Wake-On-Anomaly Federated Architecture For Privacy-Preserving Poultry Health Early Warning, Mahmoud Aziz Louati May 2026

Wake-On-Anomaly Federated Architecture For Privacy-Preserving Poultry Health Early Warning, Mahmoud Aziz Louati

Masters Theses

Highly pathogenic avian influenza outbreaks, respiratory disease, heat stress, and silent equipment failures share one operational reality: they are detected too late because today’s poultry-health workflow is reactive, manual, and dependent on producers volunteering commercially sensitive data. This thesis presents a wake-on-anomaly federated architecture that addresses both the detection-latency problem and the privacy–adoption deadlock that has so far prevented cross-farm collaboration. The architecture is organized in two tiers. Tier 1 is a lightweight LSTM autoencoder that continuously screens four routine telemetry channels (water, feed, house temperature, activity proxy) and emits a per-window reconstruction-error score. A debounced k-of-m trigger with cooldown …


1, 2, 2, 1, 1, 2, 1, 2, 2, 1, 2, 2, 1, 1, ..., Annemarie Torresen May 2026

1, 2, 2, 1, 1, 2, 1, 2, 2, 1, 2, 2, 1, 1, ..., Annemarie Torresen

Masters Theses

1

I invite you to see it and feel it and sit in it and breathe it in and

hold it in your lap. Art isn’t too scary, and neither is math.


2

bouncing between bounds of a binary

bippity boppity! let’s break brains and bread

balance or belly flop, what’s mine is yours:

bumptious and bumbling and barely able

i offer it broken and let you like it that way


Finding A Way Out Of The Filter Bubble: The Confusion Of A Heavy Social Media User, Longwen Miao May 2026

Finding A Way Out Of The Filter Bubble: The Confusion Of A Heavy Social Media User, Longwen Miao

Masters Theses

This thesis studies how algorithmic recommendation systems reshape visual perception, aesthetic judgment, and the construction of selfhood within contemporary digital culture.

Everything begins with the experience of repeatedly encountering algorithmically recommended content on everyday digital platforms. On these platforms, images, sounds, and social interactions are continuously selected, repeated, and reorganized by predictive systems, forming an environment in which perception is constantly structured and adjusted.

From this observation, the research raises two central questions: how do algorithmic recommendation systems reshape visual perception, aesthetic judgment, and self-recognition, and how might these systems be intervened in or made perceptible through artistic practice? Within …


A Thesis By An Art Student Trying To Find Meaning In Simulation Games, Yichuan Wang May 2026

A Thesis By An Art Student Trying To Find Meaning In Simulation Games, Yichuan Wang

Masters Theses

This thesis explores a strange question: what happens if meaning is no longer written by an author, but emerges from the behavior of a system itself?

Beginning with observations of the Providence River and inspired by Conway’s Game of Life, information theory, and artificial life research, the project investigates simulation as a space where language, memory, and collective meaning can evolve without central control. Rather than treating video games as vehicles for storytelling, this research approaches them as dynamic systems capable of generating unpredictable forms of organization and perception.

The thesis proposes a closed spherical computational world populated by simple …


Digital As Material, Ruoxi Li May 2026

Digital As Material, Ruoxi Li

Masters Theses

My project explores the material side of digital objects by breaking and rewriting 3D model files. I draw on media geology and digital materiality theories and use glitch to explore how digital forms are built from layers of code, signals, and physical infrastructures. I work with a discarded hard drive and move between its physical parts, its digital model, and the distorted versions that appear when the code is disrupted.

Through 3D modeling, physical disassembly, magnetic imaging, and animation, the project looks at how glitch can act as a method of excavation. It reveals the hidden structures that support digital …


Deep Cuts: Bearing Witness To The Erosion Of Evidence, Maya Lakshmi Srinivasan Md May 2026

Deep Cuts: Bearing Witness To The Erosion Of Evidence, Maya Lakshmi Srinivasan Md

Masters Theses

In my Master of Fine Arts thesis in Printmaking at the Rhode Island School of Design, I examine the intersection of my dual practices as a general surgery resident and artist. Both disciplines require precision, incision, and tactility to navigate the human condition. My art practice is a method of processing the emotional toll of surgical training and the simultaneous societal erosion of scientific authority. My thesis work focuses on challenging the rise of medical pseudoscience and anti-intellectualism. The focal piece in this installation, In Tallow We Trust, consists of three woodblock relief prints at the scale of an …


Circling, Eun Yong Lee May 2026

Circling, Eun Yong Lee

Masters Theses

This thesis explores Korean aesthetic sensibilities from the perspective of material logic, placing at its core the process of reinterpreting and materializing them. Here, ※material logic§ refers to the relationships among materials that emerge from a particular group*s accumulated understanding of materials, as well as from the ways in which they combine and use them.