Digital Commons Network^™

Asl Language Development And Interpreting Instruction: A Nationwide Study Of American Sign Language Interpreter Education Programs With Comparison To Spoken‑Language Interpreter/Translation Education, Alianna Giudice

Theses

Interpreter training programs in the United States vary in how they structure language development and interpreting instruction, with particularly stark differences between American Sign Language (ASL) interpreter training programs (ITPs) and spoken‑language interpreting and translation programs. In many ASL ITPs, students begin interpreting coursework before achieving foundational fluency, resulting in language acquisition and interpreting skill development occurring concurrently. In contrast, spoken‑language programs typically require incoming students to demonstrate functional fluency prior to beginning interpreting training. These structural differences may overwhelm ASL learners, constrain their linguistic development, and contribute to the graduation of interpreters who are not yet prepared to meet …

Topological Perspective On Temporal Climate Networks, Daniel Oleynikov

Theses

Networks are highly effective tools for analyzing the dynamics of Earth’s climate system. In this approach, nodes represent geographical locations and edges represent correlations or causal relationships with respect to climate fields, such as air and sea surface temperatures. We extend this technique by integrating it with topological data analysis (TDA), which shifts the focus from pairwise relationships—typical of conventional network methods—to higher-order interactions among geographic locations. Through techniques such as persistent homology and simplicial distributions, we investigate how the global climate dynamics—summarized by this representation—have evolved over the last 75 years. Additionally, we evaluate changes in oceanic connectivity with …

Material Selection In The Mountain West: A Multi-Criteria Decision Analysis (Mcda) Based Approach For Architects, Melissa Bach

Theses

With modern advancements in technology and the expansion of a globally interconnected network, architects have access to a large range of building materials. Increasing public concern for the environment has prompted architects to prioritize materials that are more sustainable, but varying definitions of sustainability, coupled with unclear guidelines for material selection, repeatedly lead to uncertainty and decision-making challenges within the profession. To address this, a comprehensive methodology such as Multi-Criteria Decision Analysis (MCDA) is needed for the material selection processes. Furthermore, a gap in the literature demonstrates that the application of MCDA for material selection in the Mountain West region …

Quantifying Exterior Ecological Performance In Biomimicry, Bioclimatic, And Biophilic Architecture: A Comparative Framework Across Climatic Zones, Ruqayyah Siamwala

Theses

Historically, sustainability research in architecture has focused on interior comfort and operational energy efficiency, leaving the ecological performance of the immediate building façade relatively unexplored. By creating a comparison framework to assess the performance of biomimetic, bioclimatic, and biophilic architecture under external ecological conditions across four climatic zones—hot-humid, cold-humid, hot-dry, and cold-dry—this thesis closes that gap. Using quantitative data such as NDVI, land surface temperature, PM2.5, NO2, infiltration rates, and species count in addition to qualitative analysis of these three architectural strategies at the building-site interface, twelve case studies are evaluated against four ecological indicator groups: air quality, soil quality, …

The Efficacy Of Ethical Data: An Analytical Study By, Lamar Gebara

Theses

As artificial intelligence and machine learning models become increasingly embedded in decision-making systems across industries, questions about the ethical sourcing of data have grown more pressing; model performance relies heavily on vast, diverse datasets, many of which are harvested without consent, transparency, or equitable representation. This study aims to compare analytics outcomes (accuracy, bias, fairness, and explainability) between ethically sourced and unethically sourced datasets. Using CRISP-DM methodology, the study will develop matched classification models on both dataset types, evaluate their performance and fairness using open-source tools such as Fairlearn and AIF360, and assess broader implications for trust, accountability, and regulatory …

I Wrote Myself Awake: A Personal Encounter With A/R/Tography, Michelle Geipel

Theses

This project and its accompanying short story function as visual and narrative representations of a/r/tography, demonstrating how creative practice can be used to explore and construct personal meaning through writing and art-making. The co-written story exists alongside the altered book as evidence of how the creative process not only engages the brain through neuroplasticity, but also supports meaning-making and the formation or discovery of identity. Through the integration of life writing, visual art, and reflective inquiry, this work illustrates how understanding can emerge from within the act of creation itself.

The Investigation Of The Digital Divide: Government Literacy With African American Seniors, Jenettie Pirtle

Theses

My thesis, The Great Divide: An Investigation of Digital Literacy with African American Seniors, explores how race, age, and income shape access to technology and digital learning. Many African American seniors continue to face barriers to digital literacy due to limited resources, lack of exposure, and social inequalities. Using a qualitative approach, I conducted a focus group to hear directly from seniors about their experiences with technology, what challenges they face, how they feel about using it, and what support they need. Guided by Critical Race Theory and the concept of digital inequality, my analysis highlights the gap between access …

Staging Collapse: Anita Berber’S Cocaine And Morphium As Disability Aesthetic Performance, Blair Summers

Theses

This thesis examines Anita Berber’s performances Cocaine and Morphium within the cultural climate of Weimar Germany, where the body became closely tied to ideals of health, productivity, and national renewal. Through the framework of disability aesthetics as defined by Tobin Siebers, this study argues that Berber transforms addiction, collapse, and bodily decay into a visual and affective language of artistic and political critique. Rather than present the body as disciplined or morally ideal, Berber stages instability, excess, and death through gesture, costume, set design, and music. In doing so, she reimagines the stigmatized female body as a site of agency …

Analyzing Comparisons Of Seascapes By Caspar David Friedrich And Fitz Henry Lane Through A Digital Gallery Show, Adrianna Murphy

Theses

This project focuses on a comparative digital exhibition and analysis between Caspar David Friedrich and Fitz Henry Lane’s seascape artwork. Both artists have not been shown together in a gallery; thus this research into common themes in their works reveals a new perspective on early- to mid-19th-century seascape art. This perspective shows how their different geographies and historical contexts converge through the shared visual language of contemplation, morality, and reflecting in the mystery of life through nature. The project aims to create a digital gallery that showcases an ideal layout and a comparison of the artists, with curated works that …

Leveraging Generative Artificial Intelligence To Launch An Independent Game Studio, Douglas Evans

Theses

This project report examines how Generative Artificial Intelligence (Generative AI) can be integrated into the early formation and operations of an independent/indie game studio. Using a qualitative, practice-based single-case study approach, the project focused on Boar’s Head Studio, LLC. A human-in-the-loop approach was maintained with Generative AI used to support company formation, ideation, planning, documentation, analysis, coding assistance, marketing preparation, and community-building preparation

The report concludes that Generative AI can serve as a meaningful system integrated into the studio pipeline when used with structured, repeatable, human-in-the-loop processes. The project contributes a practical, case-based framework that may be useful to other …

Edvard Munch And The Feminine Sublime, Saralyn Goodspeed

Theses

This paper explores the theory of the sublime in relation to Edvard Munch’s depictions of women. Departing from the common view that Munch was simply anxious about the “New Woman” that emerged in the late nineteenth-century, I argue that Munch’s conflicting emotions regarding women were sublime in nature, rooted in his childhood relationship with his mother. A formal analysis is conducted on three of Munch’s works: Inheritance (1897), Three Stages of Woman or Sphinx (1894), and Madonna (1895). These analyses link Munch’s representations of women to a maternal sublime.

Artificial Intelligence In Video Production, Jonathan Ringor

Theses

This project examines the role of artificial intelligence in video advertisement production and explores whether AI can help bridge the gap between everyday users and professional advertising. The project combined both creative production and audience research. To do this, three original AI-generated advertisements were created in distinct commercial formats: a pharmaceutical advertisement, a petcentered narrative commercial, and a lifestyle montage advertisement. After the advertisements were completed, audience response was measured through a survey of U.S.-based participants. Participants evaluated each advertisement on realism, emotional engagement, trustworthiness, polish, and authenticity. The results showed that the advertisements were not perceived equally. The pet …

Predicting Flight Fares With Machine Learning: Enhancing Aviation Industry Pricing Forecasting, Reem Almulla

Theses

This research investigates the increasing challenge of accurate flight fare prediction for travel agencies that are functioning and working in the post-pandemic aviation market. As the prices fluctuate while demand is unstable and competition pressure increases, therefore it influences decision-making and profitability. In most cases, traditional ticket pricing methods often can be ineffective when capturing complex and non-linear relationships within factors that influence the ticket fare dynamics. As a result, highlighting the urge of more adaptive pricing and data-driven predictive machine learning models. In response to this challenge, the research examines the effectiveness of machine learning techniques for enhancing flight …

Assessing Programmatic Gaps In The Community Engagement To Reduce Victimization (Cerv) Program, Sam Marino

Theses

This capstone project examines and analyzes data for the Community Engagement to Reduce Victimization (CERV) program in Rochester, New York. By developing a logic model, gap analysis, and utilizing statistical models, the project not only better understands the program design, but also assesses gaps and their patterns in the data to provide structured recommendations to strengthen the data infrastructure, improving data completeness and reliability. These improvements will strengthen the program overall, helping to reduce community violence throughout Rochester. Across three working papers, the project begins by examining the current data and analyses on the program and develops a detailed logic …

An Evidence-Based Ethical Risk Classification Framework (Ercf) For Ai Policies, Ahmad Almarri

Theses

This thesis develops and evaluates an evidence-based Ethical Risk Classification Framework (ERCF) for analyzing substantive ethical engagement in AI policy documents. The study addresses the gap between high-level AI ethics principles and reproducible computational methods for comparative governance analysis. A secondary dataset of AI ethics policy recordswas used as the starting point. After retrieval, text extraction, and validation, a corpus of 44 policy documents was constructed from an initial 112 records (110 link-bearing entries). Supervised classification was implemented for four core dimensions: Accountability, Bias & Fairness, Privacy, and Transparency. A TF-IDF + Logistic Regression baseline was evaluated using stratified 5-fold …

Genui: Customizing And Improving User Interfaces In Real-Time With Generative Ai, Ursula Parker

Theses

MOTIVATION: Users must conform to the interfaces they are given, which are designed for a generalized user base rather than individual workflows or preferences. Existing UI customizations are often limited to fixed options predetermined by developers, restricting meaningful user control. Advances in generative AI introduce the possibility of modifying the underlying code of a production system that defines interfaces, enabling more flexible and targeted adaptations. However, the feasibility, scalability, and usability of such user-driven customization remain open questions. GOAL: The goal of this work is to help people customize their user interfaces, by investigating how they can linguistically specify the …

Vibration Assisted Molten Metal Jetting Of Aluminum Alloys, Usama Rifat

Theses

Vibration has been used in different manufacturing processes such as casting, welding, and machining to reduce residual stress, gas porosity, and hot cracking, as well as to refine microstructure and improve strength. Vibration has likewise been coupled with additive manufacturing processes such as directed energy deposition and powder bed fusion to improve grain structure and mechanical properties. The molten metal jetting (MMJ) process, which ejects molten metal to 3d print metal parts, typically has a porosity of about 1%, which can increase further as the print bed temperature gets lower. The primary reasons behind this porosity are gas porosity and …

Existing Buildings Against Climate Zone Shifts: Analysis Of The Resilience Of Existing Buildings In Changing Climate Zones, Adriana Rodriguez

Theses

This thesis investigates how climate zone shifts affect the hygrothermal performance and durability of existing building wall assemblies designed under previous International Energy Conservation Code (IECC) requirements. As global climate change continues to alter temperature, humidity, and extreme weather patterns, building codes and climate classifications are increasingly challenged to keep pace with current and future environmental conditions. The research focuses on whether 2×6 wood-framed wall assemblies designed under the 2018 IECC remain resilient under updated climate zone classifications and future climate scenarios. A comparative analysis of four U.S. counties—Davidson (TN), Garfield (OK), Allegany (MD), and Marion (IN)—was conducted based on …

The Next Generation Of Police Station Design: Integration Of Officer Wellness With Operational Demands, Kayla Zill

Theses

The design of police stations has traditionally prioritized efficiency of operations and security, overlooking the wellness of officers. This research analyzes the integration of Trauma-informed Design (TiD) and WELL Building Standards into police stations design to create environments that aid officer well-being while maintaining operational functionality. Through literature review, including research of current police station design guidelines, trauma endured by officers, Trauma-Informed Design principles, WELL building standards, and understanding of the need for wellness to be incorporated into police station design. Officer interviews then further understanding of the needs of officers to create a scorecard and program guidelines to refocus …

The Implications Of Expanding Solar Microgrids For Resilience In Puerto Rico, Adriana Dominguez Moret

Theses

Puerto Rico’s energy landscape is defined by a cycle of continuous disaster recovery, exacerbated by its location in a high-risk natural disaster zone and a centralized grid prone to failure. The human cost of this vulnerability was exemplified by the 328-day power outage following Hurricane Maria, a period that rendered vital spaces unusable and highlighted the dire consequences of accelerated infrastructure aging and a heavy dependency on expensive fossil fuel imports. This thesis addresses these critical challenges by investigating the integration of community microgrid systems into the urban landscape as a strategic framework for power continuity. Using Casa Pueblo’s existing …

Urban Illumination And Circadian Disruption: Examining Artificial Light At Night, Caitlin Mcmasters

Theses

Artificial light at night is increasingly prevalent in dense urban environments, yet it remains unclear how often typical city lighting conditions likely exceed recommended nighttime limits for residential circadian health. This thesis evaluates nighttime light exposure in two contrasting urban districts, Back Bay in Boston and Times Square in New York City, using satellite derived nighttime radiance, GIS based urban morphology, and documented lighting infrastructure characteristics. Rather than relying on calibrated photometric simulations, the study employs a qualitative, evidence based comparative approach to assess relative façade exposure and interpret conditions against established benchmarks, including the WELL Building Standard and ILP …

Loosie: A Nesting Furniture Collection, Maurice Bryan

Theses

A persistent challenge in housing design is the efficient use of limited space, particularly in densely populated urban environments, where residents balance comfort with the need to minimize clutter and spatial constraints. This study investigates strategies for optimizing interior space through space-saving methods, using multifunctional furniture design. The primary objective is to develop multipurpose design solutions that enable users to express personal style while maximizing spatial efficiency, with a focus on approaches that emphasize multifunctionality and transformability. These strategies enable residents to use living spaces more efficiently, accommodate a broader range of activities, overcome clutter and spatial constraints, express individual …

From Village Core To Urban Impact: A Method For Assessing Community-Centered Design Across Scales, Jessica Randise

Theses

By utilizing pioneered urban planning principles and design strategies that focus on creating human centric spaces, this research will contribute to a deeper understanding of intentional urbanism and the importance of place-based design. The built environment to which surround us plays a key role in impacting a community’s development and civic pride amongst its community members. By understanding and pinpointing the successful design strategies utilized in both the villages of Fairport and LeRoy, NY, other regionally similar places with lesser success can be revitalized. This will be accomplished through the understanding of key development categories across all three villages which …

Representative And Preferred Skin Color Rendition Of Photos And Avatars In Optical-See Through Augmented Reality, Dara Dimoff

Theses

Human skin color is embedded with information about mood, health, and age. While facial color is widely studied in dermatology and cosmetics, there is limited data available to map the subjective experience of skin color to measured data. The ability to derive the color that best represents a person’s skin would be valuable in a wide range of applications, from identifying an appropriate makeup foundation to achieving white balance in a video. When displaying skin tones, it is well-known that preferred renderings are different from accurate renderings. Rendering skin tones becomes more nuanced with complex rendering technologies such as augmented …

Energy Loss Hotspot Mapping In Power Distribution Networks, Abdulla Alhammadi

Theses

The electricity systems used in power distribution in the United States also consume a lot of electricity to warm up until it gets to homes, business or industries. These are technical losses which are caused by the physical resistance of the aging electrical equipment like transformers, conductors and distribution lines. With the aging of infrastructure, the resistance rises, and the amount of wasted energy increases. Although this is a large problem, most utility companies continue to use rough age estimations or customer complaints instead of using more direct and objective data-driven techniques to determine the concentration of the worst losses. …

Study Of Global Panel Of Soybean Accessions For Nitrogen Use Efficiency Using Association Mapping, Rita Bhandari

Theses

Soybean (Glycine max [L.] Merr.) is a leguminous crop valued for its high protein, oil content, and other essential nutrients. Global production has significantly increased, with Brazil, the United States, and Argentina being the leading producers. In the U.S., Illinois, Iowa, and Minnesota rank as the top soybean-producing states. Nitrogen (N) is a predominant nutrient required for optimal soybean growth and productivity, particularly in high-yielding varieties. While biological nitrogen fixation and soil mineral N supply part of the plant’s N requirement, synthetic fertilizers are commonly used to meet the remaining demand. However, only 30–50% of applied N is taken up …

Traumatic Stress Recruits An Excitatory Orbitofrontal-Amygdala Pathway To Drive Maladaptive Aggression, Mikaela Aholt

Theses

Traumatic stress is a reliable predictor of heightened aggression, yet the mechanisms linking stress exposure to aggression remain poorly understood. The Nordman lab previously found that traumatic stress activates the posterior ventral segment of the medial amygdala (MeApv) to drive persistent increases in aggressive behavior. However, why traumatic stress would engage an aggression-promoting pathway is unclear. To address this, the inputs to the MeApv were mapped and a population of excitatory, but not inhibitory, neurons in layer 5 of the medial orbitofrontal cortex (mOFC) were identified. The OFC is classically viewed as an inhibitory brake on amygdala-driven impulses, yet emerging …

Avoiding White Elephants: An Empirical Assessment On The Failure Of Airport Capacity To Drive Tourism Receipts, Somanithel Kheang

Theses

This study investigates the relationship between airport infrastructure capacity and international tourism receipts across 12 major Asian and European economies from 2000 to 2019. Using a Panel Fixed Effects framework, the analysis tests the "Supply-Led Growth" hypothesis to determine if physical infrastructure expansion independently drives tourism revenue. To address potential endogeneity and reverse causality, the study employs specification where all independent variables are lagged by one year.The empirical results yield a robust null finding: airport capacity does not exhibit a statistically significant impact on tourism receipts. Conversely, government consumption is identified as a potent driver of tourism performance, with a …

Deep Reinforcement Learning-Based Equitable Post Disaster Resource Allocation Incorporating Social Vulnerability, Trevor John Mogaka

Theses

Prior Deep Reinforcement Learning (DRL) approaches frame post‑disaster recovery as a sequential decision-making problem over infrastructure elements, using graph-based system models and resilience-oriented rewards. This thesis builds on an existing DRL framework by introducing a modified CDC Social Vulnerability Index (mCDC-SVI), developed using Max-min scaling, to quantify social vulnerability.A synthetic interdependent infrastructure testbed is divided into four socio‑economic regions using federal poverty and SNAP eligibility guidelines. The DRL simulation and Deep Q‑Network architecture are retrained under a multi-objective reward function that is efficiency-equity weighted (α:β). Agents are evaluated across unconstrained and constrained budget scenarios to examine how varying α and …

Development Of Chemical Reaction Airbag Safety System For Multi-Rotor Uav To Mitigate Free-Fall Collision Impact, Brady Kent Villiger

Theses

With Unmanned Aerial Vehicles (UAVs) becoming more advanced, the demand of companies that plan to use them for commercial use has only increased. Amazon plans to use UAVs for shipping purposes, Esri uses UAVs for surveying purposes, and many government organizations use UAVs for search and rescue, infrastructure inspection, and power line inspection. With all these uses, UAV safety becomes a major concern. If a UAV were to fail mid-flight there would be an issue if it collided with a person or an expensive piece of equipment after a free-fall. In this paper, the proposed safety system would be a …