Digital Commons Network^™

Dignity And The Free Press, Erin C. Carroll

Georgetown Law Faculty Publications and Other Works

As American institutions wither and die, those who believe in their importance must reflect and rebuild. One institution worthy of sustained attention is the free press. Divorced from government by design, the press can benefit from efforts to reinvigorate and reinvent it in ways that institutions more directly under the federal government’s thumb cannot. To best undertake these efforts, we need a richer understanding of why a free press is vital. Articulating the values that underlie the need for this institution is necessary not only to build the most robust free press, but also to best exercise our freedoms as …

Immigrants: Neighbors Or Strangers? An Analysis On Christian Thought And Immigration, Mariah G. Rivera

Theses/Capstones/Creative Projects

This thesis examines the relationship between Christian thought and perspectives on immigration in the United States, particularly in the context of the current Trump administration, which is focusing heavily on restrictive immigration policies. It explores the historical relationship between religion and government through government commissions, as well as changes in key immigration policies such as the “sensitive locations” guidelines affecting enforcement at and near places of worship. Drawing on biblical scripture, the thesis identifies key themes of loving the stranger, assisting the vulnerable, and obeying governing authorities, all of which inform Christian interpretations of immigration.

Through analysis of national and …

My Journey As A Migrant Bilingual Learner From Student To Teacher: Lessons Learned, Sylvia Lopez

Theses and Dissertations

These reflections in this thesis are an analysis of narratives based on my lived experiences as an immigrant, migrant student who is now a certified Bilingual & Special Education teacher servicing students, many of whom are bilingual, in public school classrooms. My goal is to connect my life experiences to teaching practices and thus embrace and celebrate my linguistic identity. Bilingual educators have a language learning journey that drives their classroom practices. When bilingual teachers reflect on their bilingual trajectory and connect their life experiences to research, they may provide spaces for stronger positive impacts on bilingual students, and their …

Exploring The Role Of Video Games In Civil Engineering Education And K-12 Stem Engagement, Jillian S. Codron

Architectural Engineering

Civil engineering education has traditionally emphasized a linear progression from theory to application, with foundational concepts introduced in lecture before being reinforced through laboratory or design experiences. While effective for advanced learners, this approach can limit early engagement for K–12 students who may struggle to connect abstract principles to realworld engineering practice. This project examines the use of video games as interactive, feedback-driven environments for introducing civil engineering concepts and practices to younger learners in more exploratory and accessible ways.

The study pursues four primary objectives: evaluating the educational affordances of selected video games; examining how gaming experiences have influenced …

Authoritarian Bidding: Domestic Institutions And The Domestic Politics Of Mega-Sporting Event Campaigns, Zanela Denise Sygaco Bajarias

Theses and Dissertations

This study examines why some authoritarian regimes bid for mega sporting events while others do not. While existing research focuses primarily on the impacts of hosting, this paper shifts attention to the political logic of bidding itself. It argues that bidding is not merely a preparatory step but a strategic political act. Drawing on selectorate theory, audience cost theory, and research on authoritarian institutions, the study proposes that variation in bidding behavior is driven by differences in institutionalization. Authoritarian regimes with nominally democratic institutions, such as legislatures, parties, and controlled media, face broader domestic audiences and stronger incentives to demonstrate …

I Am Still Learning, Too!: Pre-Service Teachers' Experiences Of Mathematics Anxiety In An Inquiry-Based Mathematics Education Course At Utrgv, Jeremiah James Adriano Dela Rosa

Theses and Dissertations

Mathematics anxiety is a prevalent issue in mathematics education that negatively impacts students’ learning, performance, and engagement in mathematics. Prior research suggests that mathematics anxiety is often shaped by students’ experiences and emotional responses within the classroom environment.

The purpose of this study is to explore how Pre-Service Teachers experience mathematics anxiety in an Inquiry-Based Mathematics Education (IBME) classroom. This study employed a qualitative research design supported by descriptive survey data collected through the Abbreviated Mathematics Anxiety Scale (AMAS), selected components of the Fennema-Sherman Mathematics Anxiety Scale (FSMAS), and semi-structured interviews. The survey instruments were used to provide descriptive background …

Do I Have To Know Someone? The Impact Of Factors Beyond The Playing Field That Affect Mlb Hall Of Fame Voting., Jackson Wollscheid

Economics Undergraduate Honors Theses

With the creation of WAR (Wins above Replacement), it has created an index to measure the player’s value using a variety of statistics relevant to that player’s position. The higher a player’s career WAR then the greater the impact that player had on the game during his career. However, players are not simply inducted into the Hall of Fame on this measure of value but on voting from members of the BBWAA (Baseball Writers’ Association of America). This research investigates external factors outside of standard playing statistics’ influence on Hall of Fame voting, including team affiliation, career length, and other …

Behavioral Bottlenecks In Belizean Smallholder Farming: An Action Plan, Mckinley A. Almeida

Economics Undergraduate Honors Theses

Behavioral Bottlenecks in Belizean Smallholder Farming: An Action Plan investigates why Belizean smallholders hesitate to adopt new practices informed by a two-month internship with the Ministry of Agriculture at the Stann Creek branch. During the internship, a seventeen-page bilingual farm plan outline integrating SMART goals, a standard business plan, and farming essentials relevant to the local culture and environment was designed and developed. The Farm Plan Outline is grounded in observations in goal-setting theory, risk aversion under price uncertainty, and knowledge gap literature (AKIS/AKAP) tailored by smallholder Belizean contexts. Farmers were assisted with the Sustainable & Inclusive Belize Program grant …

F.L.A.I.R. -- A Flow-Level Autoencoder For Intrusion Recognition, Joseph P. Dumond

Electrical Engineering and Computer Science Undergraduate Honors Theses

Industrial Internet of Things (IIoT) networks underpin critical infrastructure worldwide, yet securing them remains an open challenge. Traditional intrusion detection systems require labeled attack data for training, a resource that is rarely available in real industrial deployments. They also fail against novel threats, a model trained on known attacks has no basis for detecting anything outside its training set. This thesis presents a Flow-Level Autoencoder for Intrusion Recognition, or FLAIR, a fully unsupervised deep learning system for network intrusion detection in IIoT environments. FLAIR is built on a Gated Recurrent Unit (GRU) autoencoder trained exclusively on normal network traffic. Rather …

Securing Distributed Energy Resources: A Dnp3 Master Station With Semantic Web Integration For Decentralized Der Data Sovereignty, Ethan J. Coffman

Electrical Engineering and Computer Science Undergraduate Honors Theses

As current electrical grids trend toward a heavier reliance on DERs, there is a growing need to secure DER communications while maintaining data sovereignty for device owners. Previously, work by Donna Thakadipuram established the foundation for a decentralized framework using Solid by implementing a prototype that used a Raspberry Pi and a DSP to simulate Modbus traffic and upload the data to a Solid server. This thesis extends her work to simulate multiple DERs using Typhoon HIL and communicate to each device over DNP3/TCP. The system uses a Python-based DNP3 master to collect telemetry from all 12 DERs before transforming …

From Mobilenet To Repvit: A Survey Of Edge-Optimized Computer Vision Architectures, Eli A. Bosch

Electrical Engineering and Computer Science Undergraduate Honors Theses

Edge-optimized computer vision is a constantly evolving field where the definition of efficiency has changed repeatedly. This thesis presents a literature survey of four recent Convolutional Neural Network (CNN) families, all analyzed through a consistent framework of accuracy, parameter count, and Multiply-Accumulate Operations (MACs), alongside a survey of five CNN and Vision Transformer (ViT) hybrid models to examine the direction of the field. It was found that accuracy follows a logarithmic curve with respect to parameter count, exhibiting diminishing returns as models scale. This suggests that architectural design contributes more to performance gains than parameter count alone. Theoretical efficiency metrics …

A Case Study On Using Large Language Models To Drive Convergence-Oriented Literature Discovery In Critical Infrastructure Security, Caden J. Williamson

Electrical Engineering and Computer Science Undergraduate Honors Theses

In the world of cybersecurity, the rapid development of artificial intelligence proposes a constant challenge for researchers to defend critical infrastructure. Attacks on critical infrastructure can be catastrophic, and emerging strategies of cyber-adversaries that implement leading AI models can expose vulnerabilities in critical infrastructure much faster than previous tools. To defend against this emerging threat, the Cybersecurity Research Working Group at the University of Arkansas is aiming to develop a cross-domain and cross-discipline center of excellence. To support this effort, the group is writing a literature review on the topics of AI and critical systems security. Literature review is an …

Assessing The Viability Of Cryptocurrency As A Payment Method: A Consumer Perspective, Aadavan Dharumaiyan

Dissertations

The problem addressed in this study was the limited mainstream adoption of cryptocurrencies for daily retail transactions despite continued technological advancement and increasing institutional interest. The purpose of this qualitative study, grounded in Husserlian descriptive phenomenology, was to explore the perceptual and behavioral factors influencing this adoption gap. Participants were recruited using snowball sampling, resulting in eight participants divided into two cohorts: active cryptocurrency payment users (Cohort 1, n = 2) and cryptocurrency holders who did not use cryptocurrencies for payments (Cohort 2, n = 6). Data were analyzed using the Moustakas phenomenological approach to identify patterns in participant experiences. …

Unpacking American Reception Of Glocalized Non-English Content In The Netflix Era, Sur Govindarajan

Dissertations

The swift growth of streaming services has revolutionized the worldwide distribution of media, making it possible for non-English and non-English-adjacent content to reach American consumers on a never-before-seen scale, which is sometimes perceived as an indication of increasing cultural tolerance. However, while a lot is known about what audiences see, far less is known about how they really understand and assess these stories. There is a fundamental vacuum in our understanding of audience reception as a lived, meaning-making process because previous research has mostly focused on consumption patterns. In order to close that gap, this study examines how American audiences …

Llms-Based Text-To-Sql For Geospatial Information Retrieval, Temitayo Olamilekan Ogunsusi

All Theses

Text-to-SQL aims to translate natural language questions into SQL queries that can be executed on databases, enabling non-expert users to retrieve information without learning formal query languages. Early Text-to-SQL systems relied on rule-based methods and semantic parsers, while recent advances in deep learning have achieved strong performance by jointly encoding user questions and database schemas. However, these approaches typically require large, annotated datasets and specific model architectures. With the emergence of large language models (LLMs), such as GPT-4, Llama, and Gemma, Text-to-SQL systems can leverage powerful natural language understanding capabilities to generate SQL queries using zero-shot or few-shot prompting. Despite …

Multi-Task Growing Interpretable Neural Network For Multi-Target Symbolic Regression, Hussein Rajabu

All Theses

Over the past decade, deep learning has achieved remarkable success across domains such as computer vision and natural language processing. Despite their strong predictive capabilities, these models often function as black boxes, limiting transparency and making them difficult to trust in high-stakes applications such as healthcare and business decision-making. While explainable artificial intelligence (XAI) methods improve interpretability, most approaches remain post-hoc, focusing on statistical associations rather than uncovering the underlying functional mechanisms governing predictions.

Symbolic regression (SR) has emerged as a promising direction within XAI by directly discovering explicit mathematical expressions that describe relationships between inputs and outputs. Unlike traditional …

The Impact Of Palm Cooling On The Physiological And Cognitive Function Of Aerobically Trained Individuals, Katherine L. Tibbs

Honors Theses

Background: Cooling strategies have been shown to combat the harmful effects that an increase in body temperature can potentially cause, and palm cooling in particular has been adopted due to its effectiveness in mitigating muscle fatigue during exercise. While there is clear support that this improves muscular strength and endurance, there is a lack of research on the impact palm cooling has on the mental aspect of physical activity. The purpose of this study was to investigate the cognitive and physiological effects of palm cooling on aerobic exercise performance. Methods: Ten aerobically trained participants between the ages of 18-35 were …

Neither Academy Nor Convent: Reconciling Religious And Feminist Readings Of Mary Astell, Hannah E. Brown

Honors Theses

Mary Astell is frequently interpreting through competing frameworks: as either a feminist advocate of women’s rational autonomy or a religious conservative committed to Anglican orthodoxy. This division reflects a broader tendency in Astell scholarship to separate her intellectual, moral, and theological commitments into distinct and often conflicting domains. This paper argues that such fragmentation is not grounded in Astell’s own philosophy but is instead the result of interpretive assumptions—particularly the view that intellectual autonomy and religious obedience are incompatible. By examining Astell’s account of reason, education for women, and spiritual development, this paper demonstrates that these elements form an integrated …

Prism: Priming Relationships In Syntax And Mathematics, Michelle J. Zhu

Honors Scholar Theses

The implementation of sheltered education programs has become increasingly prevalent in schools as new research in second language acquisition emerges. Yet despite this growing attention to ESL instructional practice, far less is known about the cognitive processes that underlie how bilingual students engage with academic content. This study investigates cross-domain structural priming between mathematical and linguistic processing in monolingual and bilingual individuals, focusing on how bilingual experience influences syntactic attachment preferences. Prior research suggests that mathematical and linguistic structures share underlying cognitive representations, and that exposure to structures in one domain can influence processing in another. Additionally, bilingualism has been …

Into The Mainstream: How White Nationalism Has Been Disseminated Online And Legitimized In The United States At Large, Shannon O'Connor

Honors Scholar Theses

The United States has experienced a rapid growth in extremism, reinforced by online social networks. Existing scholarship attributes increased extremism to political polarization, the appropriation of liberal norms of free speech, and white male racial anxiety. Present debates concern the popularity of alternative social networking platforms that provide opportunities for radicalization. Current scholars assume that online alternative sites are relatively isolated and engage in the most extreme cases of right-wing violence and hate speech. However, this thesis argues that extremism in the United States has been widespread and increasingly embedded in mainstream political discourse. I argue that leaders within the …

Exploring Stem Cell-Based Approaches To Ameloblast-Like Cell Development: Progress And Limitations In Enamel Formation, Ava L. Abruzzese

Honors Scholar Theses

Enamel is one of the most critical structural components of the tooth. As the outermost layer, it serves as a protective barrier, shielding the underlying dentin and dental pulp from physical trauma and mechanical forces. The formation and mineralization of enamel are regulated by specialized cells known as ameloblasts. Once enamel maturation is complete, these cells undergo apoptosis. Consequently, enamel lacks the capacity for natural regeneration after damage or erosion, which can result from various environmental factors. When enamel is compromised, current clinical interventions focus on preventing further deterioration rather than true regeneration. These approaches include the use of remineralizing …

American Coverage Of The Killing Of Awdah Hathaleen: A Case Study, Charlie F. Nichols

Journalism

This project analyzes coverage from major American news outlets regarding the killing of Awdah Hathaleen by Yinnon Levi, using firsthand accounts of the event as a point of reference. These accounts are organized into a timeline of the event that coverage is compared with. The propaganda model outlined in Manufacturing Consent by Herman & Chomsky (1988) is used as a theoretical framework, namely the concept of unworthy victims. This framework posits that victims of violence perpetrated by American client states are framed as deserving of said violence. This addresses a gap in the literature of comparing coverage with a verifiable …

Teaching Beyond The Textbook, Jada Fritzemeier

Celebrating Scholarship and Creativity Day (2018-)

As part of the Community Engaged Learning component in our Community Psychology class, we worked closely with St. Joseph Catholic School and Saint John’s Preparatory School to support students’ learning and understanding of their education and its values. Both schools have shared values and work to promote the integration of faith and the Benedictine values into their daily lives. While there, we provided one-on-one support to students with various academic and well-being needs as well as classroom assistance. These include after-school tutoring, mindfulness walks with students, interactive activities to promote community, and helping teachers and students in the classroom. By …

Implementation Of A Standardized Short Stay Pain Protocol To Reduce Pain In Short Term Care Facility, Maggie O'Brien, Kenzie Reuter, Holly Hansen, Elle Wichmann

Celebrating Scholarship and Creativity Day (2018-)

Pain is a common symptom across all areas of nursing care, yet it is often undertreated in skilled nursing facilities, particularly among residents receiving rehabilitation services. Pain in this population may result from a variety of causes, including musculoskeletal conditions, wounds and pressure injuries, neuropathic pain, and chronic illnesses. A review of Minimum Data Set (MDS) reports and resident pain reports from the short-term rehabilitation unit revealed a concern of disparity. Long-term care residents demonstrated strong quality indicator scores (9.21 out of 10), while short-term stay residents scored significantly lower (2.76 out of 10). This discrepancy raised concerns about pain …

Not All Dwellings Are The Same: Commentary On Ideology, Evidence And Narratives In Canada’S Housing Affordability Crisis, Matthew Arp, Simon Kiss

Laurier Institute for the Study of Public Opinion and Policy

No abstract provided.

Dental Rehabilitation Of Pediatric Patient With Ellis-Van Creveld Syndrome: Case Report, Emma Kojima Dds, Robin Onikul, Neena Patel, Jenna Sparks, Amy Burleson

Posters

Ellis-van Creveld Syndrome, also known as Chondroectodermal dysplasia, is a rare autosomal recessive disorder caused by mutations in the EVC and EVC2 genes4. This syndrome is characterized by polydactyly of the hands, short limbs, ectodermal dysplasia, and congenital heart defects. Because Ellis–van Creveld syndrome affects all three embryonic layers, it presents with a range of oral manifestations, including absence of the mucobuccal fold, a serrated alveolar ridge, multiple labial frenula, abnormalities in tooth morphology, and congenitally missing teeth1. This report details a 20-month-old female who presented to the Children’s Mercy Dental Clinic in May 2019 for comprehensive dental care. The …

You Can’T Spell Audit Without Ai: The Current Uses Of Artificial Intelligence In Audit, Jena Perkins

Senior Honors Theses

The accounting profession continuously adapts to the innovations provided by the broader context in which it exists. Artificial intelligence (AI) is a forerunner among tools used to enhance and optimize auditing services within the accounting profession. The realm of AI offers advancements to procedures used within an audit to detect misstatements. Based on the proprietary platforms developed by Big 4 accounting firms, AI is a key component in maintaining an advanced approach towards auditing.

Unveiling The Biochemical Pathway Responsible For Ankyloglossia (Tongue-Tie) By Tracking Enzymatic Activity Of Apoptosis Pathways, Becca Ringstad

Celebrating Scholarship and Creativity Day (2018-)

Ankyloglossia (Tongue-tie) is a condition that is caused by failed cellular degeneration leading to a short lingual frenulum. This short lingual frenulum tethers the tongue to the bottom palate of the mouth and leads to problems, including breastfeeding for infants, depriving them of important proteins that build the gut microbiome, strengthen the immune system, and fight off antigens. If left untreated, it leads to problems with speech articulation, airway development, and obstructive sleep apnea. Treatment involves a frenectomy, which is the release of the short lingual frenulum using surgical scissors or a laser. Ankyloglossia can occur with conditions such as …

Keeping Track Of Time: Does Formal Education Of Temporal Symbols Refine People's Ability To Perceive Time?, Alyssa Gabrielle Smith

Undergraduate Honors Thesis Collection

While many studies find a relation between symbolic and nonsymbolic numerical abilities (e.g., Chen & Li, 2014), whether this relation is causal has been questioned. For example, does learning symbols refine nonsymbolic abilities (i.e., Refinement Hypothesis)? One study found that as children gained proficiency in their verbal counting abilities, their nonsymbolic numerical acuity increased (Shusterman et al., 2016), thus supporting the Refinement Hypothesis. As studies have found similar processing for numerical and temporal abilities (e.g., Walsh, 2003) and a similar relation between symbolic and nonsymbolic timing abilities has been found (e.g., Hamamouche & Cordes, 2020), it begs the question of …

Deep Learning For Predicting Impact Energy And Compression After Impact Strength Of Composite Materials Using C-Scan Images, K. T. Tan, Jason P. Mack, Faizan Mirza, Zhong-Hui Duan

University Research

Traditional assessment of post-impact performance in carbon fiber reinforced polymer (CFRP) composites often relies on simplified scalar metrics that fail to capture the complex spatial interactions driving failure. This study addresses this limitation by developing an automated, end-to-end deep learning framework that shifts from manual feature extraction to the direct interpretation of raw damage morphology from ultrasonic C-scans. Using a ResNet18-based convolutional neural network (CNN) trained on 1,428 augmented images, the model achieved coefficients of determination (R2) of 0.7948 ± 0.0847 for compression after impact (CAI) strength and 0.9436 ± 0.0098 for impact energy. Beyond prediction, this dual-purpose methodology serves …