Digital Commons Network^™

Somatic Healing And Social Choreography For Peacebuilding: Since When Did Efforts For World Peace Become A Cheesey Notion . . . ? . . . A Public Space Performance Ritual, Reese Johanson

Senior Honors Theses

Somatic practice in performance can transform culture, politics, and society. Dismantling social systems that spread systemic trauma can be achieved by repatterning our social choreography, replacing old systems with mutual aid and community support.

This paper touches upon a decade of personal and communal somatic practice and research. I experienced and witnessed a universal struggle between humans and the oppressive forces embedded in societal norms and was driven to restructure these norms in honor of self and the world through art. The “Since when…?” project culminated in 7 research laboratories where participants engaged in open and guided forms of somatic …

Position: The Pre/Post-Training Boundary Should Govern Ip In Industry–Academia Ml Collaborations, Dirk Bergemann, Soheil Ghili, Nitzan Mekel-Bobrov

Cowles Foundation Discussion Papers

Industry–academia ML collaborations routinely fail to launch—not for scientific reasons, but because academics must publish while companies must protect models trained on proprietary data, and no standard contract framework resolves this tension. Because contracts are negotiated by legal departments alone, many apparent legal disputes are incentive misalignment problems that only scientists at the table can correctly diagnose. We propose PBOS (Protect-the-Business / Open-Source-the-Science), a community-adoptable contract template anchored to a single technically-grounded boundary: pre-training artifacts (architectures, training code, benchmarks, untrained weights) are open science; post-training artifacts (weights trained on proprietary data) are business IP. This boundary is technically meaningful, legally …

Board Of Trustees Meeting Minutes 2026-05-01, Bowling Green State University

Board of Trustees Meeting Minutes

The official meeting minutes of Bowling Green State University's Board of Trustees.

Enhancing Ransomware Resilience And Cybersecurity Preparedness In The U.S. Army, Katalina Marie Archiable

Honors Capstone Projects and Theses

No abstract provided.

Ai Institute Summer Camp Webinar Summary, Dora Nguyen

Paul English Applied Artificial Intelligence (AI) Institute Publications

This report summarizes the AI Institute Summer Camp informational webinar hosted by the Paul English Applied Artificial Intelligence Institute (PEAAII) at the University of Massachusetts Boston. The webinar introduced the structure, curriculum, learning objectives, and student outcomes associated with the 2026 AI Institute Summer Camp. In addition to summarizing the webinar content, this report analyzes participant questions, engagement trends, and areas of audience interest. Findings indicate strong interest in coding accessibility, mentorship opportunities, student outcomes, research experiences, and program flexibility. The report also identifies opportunities for improving future webinar delivery, including expanded eligibility guidance, pre-camp learning resources, enhanced presentation of …

Nevis Digital Twin: Photogrammetry And Immersive Visualization Of Historical Sites, Alex Apffel, Huy Tran, Vuthea Chheang

Faculty Research, Scholarly, and Creative Activity

In this work, we present a multimodal data acquisition workflow for the digital preservation and virtual reconstruction of at-risk historical sites in the island of Nevis. Facing threats from coastal erosion, rising sea levels, and aggressive vegetation, the archaeological heritage of Nevis requires documentation strategies that bridge the gap between high-cost professional surveying and consumer accessibility. Experimental test compared acquisition variables, specifically camera height (1 m vs. 3 m) and operator trajectory against highresolution control data. Moreover, we explore the virtual reconstruction between mesh reconstruction and 3D gaussian splatting to serve as different modalities for documentation. The resulting data is …

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 …

Avoiding Desk Rejection In The Age Of Ai: Make The Contribution Clear, Subroto Roy, Kamal Upadhyaya

American Business Review

The rapid adoption of artificial intelligence tools has changed the way scholarly manuscripts are prepared. Many authors now use AI-assisted tools to improve grammar, style, organization, and readability. Used responsibly, such tools can help authors communicate their ideas more clearly. However, a well-written manuscript is not necessarily a publishable manuscript. For the American Business Review (ABR), the central question remains unchanged: What does the manuscript contribute, and why should that contribution matter to ABR’s readership? Authors remain responsible for the intellectual content, integrity, and contribution of their work (Gatrell et al., 2024; Carobene et al., 2024).

Creative Roots, Strategic Outcomes: Ceo Childhood Imprints And The Pursuit Of Innovation, Puya Kahhali, Alexandru Roman, Haibo Liu

American Business Review

This study examines how CEOs’ early-life experiences shape strategic decision-making, focusing on the influence of parental creativity. Drawing on imprinting and upper echelons theories, we argue that CEOs with creatively employed parents develop an exploratory mindset that promotes greater investment in firm R&D. Crucially, we propose that this learning stems from behavioral modeling of exploratory mindsets through creative problem-solving—rather than the transmission of socioeconomic capital. Using a proprietary dataset of Fortune 100 CEOs and their parents’ occupations, we find robust support for this relationship. The effect is amplified under strong firm performance, while CEO age does not consistently weaken the …

Tmt Human Capital And Industry Dynamism In The Adoption Of Digital Transformation: Evidence From The S&P 500, Tushar Shah, George Benson, Sridhar Nerur, Mahmut Yasar

American Business Review

This study investigates the determinants of digital transformation (DT) in S&P 500 firms, examining how the human capital breadth and depth of top management teams (TMTs) influence strategic change. Drawing primarily on Upper Echelons Theory (UET), we theorize that a team’s collective resource portfolio serves as a critical antecedent to digital adoption. Our results demonstrate that TMT role heterogeneity (breadth) exhibits a consistent, linear positive influence on DT. In contrast, TMT tenure (depth) follows a non-monotonic, cubic life cycle. We identify three distinct phases: an “initial liability of newness” (coordination-driven trough), a mid-term “adeptness step” (absorptive capacity-driven peak), and a …

Moodify: A Mood-Based Music Recommendation System, Meghana Kagitha

Theses and Dissertations

Music has long been recognised as a powerful tool for emotional regulation, yet existing music streaming platforms often fail to align song recommendations with a user's current emotional state. Moodify is a mood-based music recommendation system designed to bridge this gap by delivering personalised playlists that reflect how a user feels in real time.

This project presents the design, development, and evaluation of Moodify, a mobile application that leverages the Circumplex Model of Emotion to capture user mood through an intuitive two-dimensional valence-arousal interface. Rather than relying on text input or manual search, users plot their emotional state directly onto …

Adaptive Artificial Potential Field Guidance And Control For Autonomous Docking With Uncooperative And Unknown Spacecraft, Steven Holmberg

Theses and Dissertations

The increasing demand for on-orbit servicing (OOS), active debris removal (ADR), and space domain awareness (SDA) missions has increased the need for autonomous spacecraft rendezvous and proximity operations (RPO) with uncooperative and unknown targets. Traditional guidance and control methods are typically designed for cooperative systems with known geometry and state information. This work builds on previous research to develop and evaluate an artificial potential field (APF)-based control framework capable of autonomous operation with minimal prior target knowledge and applicability to both relatively static and tumbling spacecraft.

The proposed APF formulation incorporates established safety constructs from cooperative docking systems, including an …

Low-Vision Students’ Experiences With And Suggestions To Improve Desktop Virtual Reality: A Qualitative Study, Tanveer Mansur Syed

Theses and Dissertations

Visually impaired students have faced challenges in the field of education, particularly in science education. Not surprisingly, the unemployment rate for working-age visually impaired people has been above 70%. This persists despite federal laws to support the education and employment of visually impaired people,

Virtual Reality (VR) technology has evolved for several decades. Its use has proliferated in areas that include education. Today, VR science lab simulations are presented as a cost-effective alternative to traditional science labs. Research shows these to be viable substitutes to traditional science labs without a significant drop in learning outcomes. However, this researcher was unable …

An Experimental Study On Turbine-Based Energy Harvesters For Thermal Underwater Gliders, Stephen Edward Coster

Theses and Dissertations

Buoyancy-driven underwater gliders have been optimized for long-duration missions primarily for continual monitoring of the ocean’s water column. However, longer missions and higher-powered sensors have increased the energy requirements of gliders. While current solutions aim to increase battery capacity, the development of energy-harvesting systems (EHMs) could greatly improve mission capabilities in both ability and duration. This thesis discusses the experimental testing of an underwater glider with an EHM as detailed in the theoretical study, “Development of a Turbine-Based Ocean Thermal Energy Harvesting Mechanism Applied to the Underwater Glider” by Hongbo Hou, PhD. The rear-mounted turbine captures energy using the kinetic …

Degradation And Metabolic Analysis Of Synthesized Quorum-Sensing Signals By The Model Eukaryote Chlamydomonas Reinhardtii, Adam Josef Bach

Theses and Dissertations

Bacterial organisms can “talk” with one another on a colony-wide scale using a communication system known as quorum-sensing (QS) via chemical signals. These signals are produced at a basal rate throughout the life of the bacteria and are classified as autoinducers, which diffuse across the cell membrane. Once the critical concentration is reached, they begin to diffuse back into the cell and initiate a phenotypic change. As these signals exist outside the membrane of their producer, they are also accessible to other organisms. It has already been noted that some plant species uptake these compounds through their roots and break …

A New Approach To Generate Combinatorial Patterns In Logical Analysis Of Data And Its Application To Predict College Retention, Salihah Ahmed E. Jaafari

Theses and Dissertations

Student retention and degree completion remain central challenges for higher-education institutions, with significant implications for student success, institutional effectiveness, and public accountability. While advances in predictive analytics have enabled earlier identification of students at risk of withdrawal, many commonly used machine learning approaches suffer from limited interpretability, constraining their practical usefulness for advising, intervention, and policy decision making. This dissertation addresses the problem of predicting student persistence by developing and evaluating optimization based, interpretable classification models within the Logical Analysis of Data (LAD) framework. Building on existing LAD formulations, this research introduces two novel pattern generation models, the Best Term …

Range Extension Of Electric Propulsion General Aviation Aircraft Using Solar Technology, Mary Kathryn Shultz

Theses and Dissertations

Alternative propulsion technologies in aviation have been a long-time topic of interest as operators aim to bypass growing fuel prices and meet environmental sustainability requirements set globally. Research regarding alternative propulsion technologies is primarily centered around marginally improving efficiency of combustion systems or large-scale implementation of novel technologies. This research evaluates the feasibility of implementing solar-integrated propulsion for general aviation aircraft to extend range through a comparison of full-electric, hybrid solar, and internal combustion engine propulsion systems. This evaluation of existing technology by range analysis indicates that hybrid solar‑electric propulsion is viable primarily for short‑range training and recreational aircraft, rather …

Aircraft Fault Detection Via Weight And Bias Analysis Of A Custom First Neural Network Layer, George Harrison Chen

Theses and Dissertations

Fault detection in aircraft is traditionally handled through redundant hardware and comparison algorithms to detect failures. Alternatives like model-based residual generation and data-driven approaches such as supervised fault classification and unsupervised anomaly detection have been explored, but they suffer from practical limitations; model-based methods require accurate system models, and data-driven methods have large constraints on the data limiting scalability and adaptability. This work presents a purely data-driven neural network architecture featuring a custom first layer designed for real-time fault detection where the weights and biases of this layer are used to detect faults. The network requires zero supervision and complements …

Manned Exploration Of Satellites Of The Outer Planets: An Analysis Of Current Technologies And A Discussion Of Advancements Required, Joshua Carson Meador

Theses and Dissertations

The Solar System’s outer planets have many satellites, some of which are known to be the most likely places to find extraterrestrial life in our celestial backyard. Multiple scientific missions have been sent to glean information from these satellites, yet the possibility of a manned expedition has long been exclusive to science fiction stories. This paper intends to collect and analyze the current state of space travel technology to explore the feasibility of such a mission with modern technology and to discuss which future advancements should be the focal point for making such missions a reality. To begin, data on …

Hdra-Fusion: Hybrid Detection With Routed Architecture For Manipulation-Aware Ai Face Forgery Detection, Omar Ebeid

Theses and Dissertations

With the rapid advancements in artificial intelligence-based image generation and manipulation tools, it is extremely difficult to detect if an image is genuine or artificially crafted. Despite extensive research in this area, existing image detection systems suffer from three major problems: suboptimal cross-dataset generalization due to shortcut learning of dataset-specific patterns, unreliable probability estimates due to domain shift, particularly in cross-manipulation evaluation settings, and an inability to detect images manipulated by multiple types of manipulations within a single detection framework. To address these limitations, we propose HDRA-Fusion (Hybrid Detection with Routed Architecture), a framework built on the conclusion that different …

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 …