Digital Commons Network^™

Enhancing Expressive Power Of Graph Neural Networks Using Geometric Transformations, Suranjan Dey

Master’s Dissertations

Graph Neural Networks (GNNs) are highly effective in many real-world tasks, such as molecular property prediction, modeling protein structures, analyzing user-item relationships, and making link predictions. What sets them apart is their ability to learn meaningful representations by capturing not just the features of individual nodes, but also the overall structure of the graph they belong to. This expressive strength allows GNNs to model complex relationships more accurately. In this work, we take a step further by introducing geometric transformations aimed at improving how GNNs handle spatial information. In particular, we focus on angular aggregation methods that maintain rotational consistency, …

Universally Consistent Hyperbolic Deep Neural Networks, Sagar Ghosh

Master’s Dissertations

The ubiquitous pertinence of Deep Neural Networks has made it pivotal in modern Computer Science Applications, ranging from Computer Vision to Pattern Recognition and Machine Translation. Although these deep architectures are primarily based on Euclidean Spaces, Hyperbolic Neural Networks (HNN) gained traction in recent times to tackle more complex non-Euclidean data having inherent hierarchical structures. These HNN architectures have shown commendable improvements in test results on tree or graph-like data by exploiting the inherent exponential metric distances of hyperbolic spaces, making them more suitable to embed non-Euclidean data. Although HNNs surpass their conventional Euclidean counterparts by commendable margins, little to …

Trends In Diabetes Mellitus Prevalence And Gender Disparities In Jazan, Saudi Arabia: A Retrospective Analysis, Mohammed A. Jeraiby, Jobran M. Moshi, Sama M. Maashi, Ali I. Shubaili, Mayssa S. Nadeem, Siddig I. Abdelwahab, Manal M. Taha, Ajiad Alhazmi

Saudi Medical Journal

ABSTRACT Objectives: To analyze the prevalence of DM focusing on demographic trends, gender disparities, and age distribution. Additionally, it evaluates diabetes control rates. Methods: A retrospective cross-sectional study examined DM trends (2021–2023). It included patients with type 1 or type 2 DM from various healthcare settings. Results: The number overall number of diabetes cases has grown from 41,876 in 2021 to 46,889 in 2023, reflecting an annual rise of 5.7% (2022) and 6% (2023). The majority of cases (85.1%) were observed in individuals aged 40 and above, having the greatest prevalence in the 50–59 age group (25.3%). A significant gender …

How “Green” Are Green Acquisitions Really?, Sri V Srinivasan

Dissertations and Theses Collection (Open Access)

Our study finds that 43.14% of global green mergers & acquisitions (GMAs) from 2001 to 2020 may be susceptible to Green Embellishment—the gap between corporate environmental representations and actual performance, regardless of intent. Using a multi-criteria theoretical framework, we show that financial constraints strongly drive Green Embellishment in GMAs, with regulatory stringency and national culture moderating this effect. GMAs in weak regulatory environments are especially vulnerable, particularly under high stakeholder pressure. We further provide empirical evidence that financially constrained GMAs with lower green profiles and those in “browner” industries exhibit a higher propensity for Green Embellishment. Even in stringent …

Exploring How The High Or Low Of Firm Transparency And Speed Of Adjustment In Its Capital Structure Relates To The Implied Cost Of Capital Of A Firm, Yung Chee Leong

Dissertations and Theses Collection (Open Access)

This dissertation tackles a core challenge in corporate finance — how firms can optimise both their capital structure decisions and the way those decisions are communicated to investors. It shows that while financial responsiveness (SOA) and transparency each help lower a firm’s implied cost of capital (ICC), the most meaningful reduction occurs when both are present and working together. For CFOs, the research offers a practical way to connect capital structure planning with communication strategy to improve market understanding and reduce financing costs. For investors and analysts, it introduces the idea of a transparency–SOA alignment measure to better assess firm …

Cutting Through The Infodemic Efficiently: News Claims Surveillance And Llm-Based Lightweight Fact Verification, Xuan Zhang

Dissertations and Theses Collection (Open Access)

In the context of the current infodemic, the rapid spread of misinformation poses a severe threat to social stability and public health. Recently, the rise of deep learning technologies has offered the potential for accelerating the development of automated misinformation detection and verification. However, current technological capabilities and computational resources often prove inadequate for the exhaustive scrutiny required, rendering the enhancement of processing efficiency a critical imperative. Given the vast amount of data on the internet, current technology and computational power often fall short in timely and accurate scrutiny of each piece of information, making the improvement of processing efficiency …

Using Multiculturalism To Combat The Negative Creativity Effect Of Cultural Tightness: How It Is Done Matters, Jung Kiu Choi

Dissertations and Theses Collection (Open Access)

This study investigates the multifaceted influence of cultural tightness and multiculturalism on the global commercial success of pop music. Addressing an under-explored moderating effect of multicultural factors on creative output under tight culture, this research analyzes Billboard Global 200 and Spotify Top 50 chart data from 2013-2021. The empirical analysis reveals that cultural tightness negatively impacts pop song’s success. Conversely, multiculturalism, specifically through diverse languages and performance teams, generally enhances global success. A key finding is that while multicultural production teams do not directly correlate with success, they critically moderate the detrimental effects of cultural tightness, a buffering effect unique …

Carolyn Parker's Electronic Frequencies, Charnell Chasten Long

Faculty Publications

The chapter illustrates what it meant for Carolyn Beatrice Parker (1917–1966) to be a Black woman physicist in the US during the Jim Crow era. Her father, a physician, and her mother, a teacher, shepherded her into Fisk University, an historically Black college. As a physics major she studied infrared spectroscopy with the Black physicist Elmer Imes, graduating with a BS in 1938. She later attended the University of Michigan, obtaining an MA in physics in 1941. But like many Black women, she spent time before and after graduate school teaching in the K–12 system. In 1943, she became a …

Unraveling The Decline: A Phenomenological Narrative Exploration Of Chinese Students' Experiences And Decisions In Selecting U.S. Higher Education, Lorne K. Brandt

Theses and Dissertations from DePaul University

This study examined the declining trend of Chinese student enrollment in U.S. higher education by incorporating recent enrollment data and findings from the 2024 Open Doors Report. The researcher employed a phenomenological narrative inquiry approach and conducted semi-structured interviews to explore the lived experiences of Chinese international students through the lens of the push-pull theoretical framework. The analysis confirmed several well-established push-pull factors, including the influence of exchange programs and parental guidance. One counter theme emerged as most participants described a desire to avoid China’s high-stakes exam system. The study identified six additional themes: flexible admissions, desire for independence, merit-based …

Creating Possibilities: The Ethelind Pope Brown Collection: An Overview Of Who May Have Illustrated America's Oldest Naturalist Paintings, Maksym Dedenko

University Honors Theses

This thesis investigates the Ethelind Pope Brown Collection at the University of South Carolina, a rare assembly of hand-illustrated naturalist artworks depicting an assortment of flora and fauna from the eighteenth century. Despite its artistic and educational value, the creator of the collection remains unidentified. Through close textual and visual analysis, archival research, and comparative stylistic study, this project explores several potential authorship theories while providing background to the necessity of evolving science that facilitated its creation.

Woofs And Warbles: The Influence Of Urban Dog Walking On Birdsong, Grace Phillips

University Honors Theses

Recreational activity in natural areas can disrupt songbird singing during critical learning or courtship periods, increasing the risk of fitness and population declines in sensitive species. Local data on birdsong disturbance caused by recreation can guide management efforts protecting wildlife, such as signage, leash laws, and dog walking bans. This study assessed bird vocalization responses to groups with and without dogs in urban greenspaces. Surveys were conducted in Fall 2024 at three parks in Portland, Oregon, with varying rates of dog and human presence. Throughout two-hour observation periods, bird vocalization activity of seven songbirds was recorded at five-minute intervals and …

Beauty In The Feed: Exploring The Role Of Social Media In Women's Body Image And Emotional Satisfaction, Momina Hassan

University Honors Theses

Through a thematic analysis assessing four peer-reviewed studies, this thesis explores the relationship between social media (e.g., content, engagement factors) and how it impacts women's body image and emotional satisfaction. The studies varied in methodological approach and age demographics, but included only female participants. The research reviewed in this thesis calls attention to the harmful effects social media can have on women's health such as body dissatisfaction, anxiety, depression and disordered eating. The two main themes that emerged were appearance-based social comparison, and psychological impacts on mental health (e.g., anxiety, depression, disordered eating). Exposure to idealized images on social media …

"Change Is All There Is": Exploring Journalistic Coverage Of Gentrification In The St. Johns Neighborhood Of Portland, Or, Eva Kovolitsky

University Honors Theses

Gentrification, as an increasingly significant characteristic of contemporary urban spaces, has been the subject of a vast body of literature. This has prompted further research into how gentrification is described and the implications of language used in both academic research and popular media accounts. This study explores discourse used in journalistic coverage of gentrification in the St. Johns neighborhood of Portland, Oregon. Guided by past work in discourse analysis and critical urban geography, this study attempts to understand how academic discourse on gentrification is both reflected in and divergent from neighborhood-level discourse. This study used data from the St. Johns …

Revised Draft Final Butte Priority Soils Operable Unit (Bpsou) Unreclaimed Sites: Ur-03 Site Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Deeppanorf: Deep Prior For Neural 3d Reconstruction From Sparse Panoramas, Edward Du

Master's Theses

Advances in neural field representations have led to a significant improvement in view synthesis quality. However, many current novel view synthesis methods rely on a dense set of input views, which can be impractical and inefficient in real-world applications. We propose DeepPanoRF, a novel method for 360◦ scene reconstruction from a sparse set of input equirectangular panoramas. Built upon K-Planes, a radiance field representation that encodes explicit features on orthogonal feature planes, our method does not directly learn feature grids. Instead, we parameterize the feature grids to enable sparse view reconstruction without pretraining or additional regularization. We implement a custom …

Compact, Low-Power Underwater Acoustic Modem Characterization And Sensing Network Node Implementation, Lucas W. Lucia

Master's Theses

There is a growing market for compact, power-efficient underwater communication technology. Due to the limited propagation of electromagnetic waves through water, modulated acoustic waves have emerged as an effective means of wireless communication underwater. In decades past, many acoustic modems had been developed primarily for defense customers in larger systems functioning at high power. In recent years, smaller, relatively inexpensive acoustic modems have become available on the market—but data on their performance in a real-world environment is scarce. Companies such as OWL Integrations are interested in employing such acoustic modems as part of sensing networks across multiple mediums. For such …

Spos: An Attestation Solution For The Detection And Mitigation Of Point Of Sale Malware, Damian Singh Dhesi

Master's Theses

Securing 95% of card present transactions, accounting for billions of transactions a year, has made EMV the premier protocol for card-based payment. Created by and named after Europay, Mastercard, and Visa, the EMV protocol provides multiple solutions to resolve security concerns with the outdated, swipe-based, magnetic stripe payment. Such solutions are Chip and PIN which provides a more secure transaction at a significant time cost and EMV contactless which provides improved security to Chip and PIN at greater ease of use with its quick, tap-to-pay based payment. However, regardless of how secure the EMV protocol makes the card side of …

Cislunar Orbital Debris Removal Feasibility Analysis Using Nrho To Dro Transfers At Varying Solar Angles, Peter C. Lie

Master's Theses

The resurgence of lunar exploration necessitates the expansion of space situational awareness into cislunar space. The current tracking technologies for cislunar objects are insufficient to determine vacant orbital regimes for human spaceflight. Orbital debris generated in the cislunar environment often evolves along complex and chaotic trajectories due to the influence of multi-body dynamics. Current research into methods of removing orbital debris from space is limited to debris in Earth orbits. For cislunar orbits, debris disposal options are slowly gaining research, mostly centered on hypothetical solutions for active missions. Lunar impact and escape to heliocentric space are low-cost options, but serve …

Investigating Social Presence In Collaborative Keys For Asynchronous Courses, Lily P. Cook

Master's Theses

Asynchronous virtual courses have become increasingly popular in the years following the global Covid-19 pandemic. These courses, with no set meeting schedule, offer flexibility to both students and instructors, but pose challenges for developing a collaborative learning environment. The Community of Inquiry framework (Rourke et al., 1999) identifies three essential components in an online course necessary to foster a collaborative environment- teaching presence, cognitive presence, and social presence. Social presence is especially impacted in asynchronous learning settings, which presents challenges for the students to display their personalities and connect with the community. This study investigates Collaborative Keys (CKs), structured collaborative …

Adversarial Deep Reinforcement Learning For Tank Duel Simulation Using Lidar-Based Observations, Braedan Kennedy

Master's Theses

Previous research has demonstrated that reinforcement learning agents can learn to steer differential-drive robots around obstacles using 2D lidar scans as observations. However, these studies typically treat all range returns as undifferentiated obstacles—objects to avoid—without distinguishing between different object types. This thesis builds upon previous research by introducing an adversarial task in which an agent must interpret raw range readings to both avoid static obstacles and identify, pursue, and engage a hostile target.

To investigate this problem, this thesis introduces TankGame, a novel, lightweight 2D tank duel simulator. Each agent receives a 360° lidar scan, controls its motion via tread …

Flair: A Fog-Native Workload Placement Framework For Qos-Aware Scheduling In Smart Manufacturing, Daiwik N. Swaminathan

Master's Theses

Smart manufacturing environments utilize a variety of heterogeneous IoT sensors that continuously stream large volumes of data. To detect and mitigate critical events such as fires or accidents in real time, this data must be promptly analyzed by machine learning (ML) image classifiers. These classifiers are typically deployed on fog computing nodes located within the manufacturing warehouse facilities to ensure low-latency responses and to protect data privacy. Although fog nodes offer a better alternative to remote cloud data centers for such latency-sensitive tasks, they are often resource-constrained and highly sensitive to the composition of workloads, particularly in heterogeneous environments where …

Fault Tolerant Dynamic Task Allocation For Heterogeneous Multi-Robot Systems, Jack R. Cline

Master's Theses

This research presents a novel approach to dynamic task allocation in heterogeneous multi-robot systems with integrated fault detection capabilities. As multiple industries are becoming more reliant on multi-robot systems for tasks, maintaining operational efficiency despite robot failures becomes critical. We propose a framework that combines optimization-based task allocation with a Kalman filter that estimates task progress for anomaly detection to identify unreliable agents and dynamically redistribute tasks. Observing values such as the normalized innovation squared (NIS), covariance, and progress rate, the algorithm can designate a robot as faulty. Embedding information about which robots are faulty in the task algorithm allows …

Sentry V3: Extending Context Switches On A Trusted Secure Coprocessor, Mark Kong

Master's Theses

Software correctness and integrity is only ensured through trust in the un- derlying hardware. However, modern computer systems are complex to design and secure. Thus, given the choice between performance and security, companies will often prioritize performance, resulting in vulnerable systems. This creates exploitable systems that must be patched retroactively because business value performance over security. One approach to this issue is to separate the root of security from the rest of the system to create a minimal trusted computing base. Trustguard is one instance of this. Trustguard implements a Containment Architecture with Ver- ified Output (CAVO) model which shows …

Vertical And Latitudinal Variability Of Marine Heatwaves In The California Current, Gavin M. Plume

Master's Theses

Marine heatwaves (MHWs) are increasing in frequency and intensity globally, with grave effects on marine ecosystems and their dependent industries. There are significant gaps in knowledge of the subsurface behavior and geographic distribution of MHWs, especially in eastern boundary upwelling systems like the California Current. Here, two decades of full water-column temperature observations from a shallow autonomous profiler in San Luis Obispo Bay (~10m) revealed that while MHWs have similar average durations and intensities across all depths, one-third of bottom MHWs occur without a concurrent surface signal. MHWs across the water column initiated during anomalously weak upwelling or downwelling conditions …

Student-Centric Scheduling: Integrating Student Preferences Into University Course Planning, Jamie Luna

Master's Theses

University course scheduling has direct impacts on student success. In the Computer Science and Software Engineering (CSSE) department at California Polytechnic State University, San Luis Obispo (Cal Poly), students face registration challenges like limited course availability and waitlists, which may delay academic progress. This thesis provides a qualitative and quantitative investigation into the course registration experiences of CSSE students. From a survey of 100 CSSE students and follow-up interviews, this study identifies the key factors influencing registration outcomes. This research also evaluates the predictive model currently used by the CSSE department to anticipate course demand, revealing mismatches between predicted and …

Ev Microgrid Inspired Open-Source Power Inverter, Bryan A. Carrillo Martinez

Master's Theses

The development of open-source power electronics platforms plays an instrumental role in accelerating microgrid deployment, electric vehicle (EV) integration, and educational access to embedded power electronic converters. This thesis presents the design, implementation, and validation of the Atinverter V2, an open-source DC to AC inverter intended for low power EV microgrid applications and educational settings. The Atinverter V2 integrates various hardware and software subsystems centered around the ATMEGA328P microcontroller, enabling PWM-based sinusoidal power inversion, DC/AC voltage and current sensing, and embedded control features. Software development leverages a C++ object-oriented library and multiple Arduino-based modules to facilitate modular and scalable operation. …

Design Principles For Robotic-Controlled 3d Printing Of Soft Tissue-Mimicking Materials, Karina Mealey

Master's Theses

Geometrically and physically accurate 3D models are emerging as essential tools for surgeons in pre-operative planning and training, but current methods of producing these models are not sufficient. Existing solutions have downsides such as high costs, long and tedious production times, high complexity resulting in a lack of scalability, or an inability to meet material requirements for accurately simulating human tissue.

The objective of this work is to develop principles for a low-cost, easy-to-use 3D printing system capable of prototyping with soft tissue-mimicking materials. To pursue this goal, a MyCobot280 robot arm was used as the mechanism to explore the …

Assessment Of The Imx7ulp Heterogeneous Soc For Use In A Next Generation Student Cubesat Obc, Lorenzo A. Pedroza

Master's Theses

CubeSats represent a rapidly evolving platform for space research, industry, and education, demanding increasingly sophisticated onboard computing solutions that balance performance, fault tolerance, size, weight, and power constraints. Although the design of the Cal Poly's CubeSat Lab's (PolySat) current On-Board Computer (OBC) keeps up with many of these factors, the demands of modern workloads like fine attitude determination will start to outpace available compute. While the selection of a more capable processor to address this would have traditionally resulted in increased energy usage, modern system-on-chip (SoC) architectures offer novel ways to trade available compute for power savings on-the-fly. With this …

A Fault-Tolerant, Multi-Heap Dynamic Memory Allocator For Freertos, Garrett E. O'Neill

Master's Theses

The use of dynamic memory allocation presents a significant challenge for embedded systems, particularly in applications that require high reliability. The software controlling these systems needs to perform critical operations within strict timing constraints, and memory management plays a critical role in a system’s ability to meet these constraints. Dynamic memory allocation is inherently non-deterministic: if a task requests memory, it is impossible to predict how long it will take for the memory to be allocated. If a critical task were to rely on dynamically allocated memory, its execution could become stalled leading to a missed deadline and system failure. …

Effectiveness Of Nutrition Education On Male Student Veterans From Cal Poly, San Luis Obispo University, Keith S. Kim

Master's Theses

This pilot study evaluated the effectiveness of a 13-week nutrition education intervention designed to improve dietary patterns, physical health, and mental health outcomes among 10 student male military veterans at California Polytechnic State University, San Luis Obispo. The intervention, grounded in the Dietary Guidelines for Americans, 2020–2025, included a one-time educational presentation and periodic recap videos to reinforce key messages. Outcome measures included dietary intake, body mass index (BMI), handgrip strength, depressive symptoms (via the Beck Depression Inventory), and post-traumatic stress disorder (PTSD) symptoms (via the PCL-5). Results revealed no statistically significant changes in dietary patterns, BMI, handgrip strength, …