Digital Commons Network^™

Microbial Literacy, Equity, And Sustainability At Cal Poly: A Policy Framework With University Housing As A Pilot Case, Joseph B. Fewel

Biological Sciences

Microorganisms play a fundamental role in human health, environmental systems, and the functioning of built environments, yet they remain largely absent from sustainability and public policy discussions. This project proposes a framework for integrating microbial literacy, equity, and health into institutional decision-making, using California Polytechnic State University (Cal Poly) as a case study and university housing as a pilot site for implementation. Drawing on interdisciplinary literature in microbiology, public health, environmental justice, and sustainability, as well as policy analysis and stakeholder interviews, this project examines how campus systems, including housing, ventilation, sanitation, food systems, and waste management, shape microbial exposure …

Catalyzed Chemical Recycling Of Pet Plastic Waste, Irfan Oyon Chowdhury, Caiden Scott Figlioli

Materials Engineering

Plastic waste accumulation and continued reliance on fossil fuel-based polymer feedstocks remain major challenges in the plastics industry. While mechanical recycling is widely used, repeated thermal processing, contamination, and polymer degradation reduce recycled plastic quality. Chemical recycling offers an alternative by depolymerizing plastics into reusable monomers that can produce materials with properties closer to virgin plastics.

This study investigated the glycolysis of post-consumer poly(ethylene terephthalate) (PET) using ethylene glycol to produce bis(2-hydroxyethyl) terephthalate (BHET). Zinc oxide (ZnO) nanoparticles were synthesized by solution precipitation and used with 1-butyl-3-methylimidazolium chloride ([Bmim]Cl) as a co-catalyst system. PET glycolysis was performed using 2.00 g …

Elastic Actuator For Robotic Leg, Bruce Berg, Allan Pham, Madeline Slater, Sofie Zalatimo

Mechanical Engineering

The Cal Poly Legged Robots Group (CPLRG) is developing a 12 degree of freedom robot with the goal of eventually performing highly dynamic movements such as jumps and flips. During such movements, large impact forces will be experienced by the leg, potentially resulting in damage to physical components such as the motors. The scope of this project is to integrate elastic elements into the quadruped legs to reduce shock loads on the motors and improve the efficiency of the legs through energy storage. The key stakeholders for this project are Professor Charlie Refvem and Dr. Simon Xing. Other stakeholders include …

Atomized English: Fewer Whole Books, More Isolated Learning Experiences, Andrew Newman, Jonna Perrillo, Jeremiah Piña

Department of English Faculty Publications

This white paper presents findings from the State of Literature Instruction National Survey, administered online to secondary English Language Arts (ELA) teachers during the 2024-25 school year. An analysis of approximately 1250 responses demonstrates three key findings: 1) Classes that read whole books are associated with more “social learning” pedagogies; 2) Classes under test pressure are less likely to engage in social learning pedagogies and more likely to offer atomized learning experiences, emphasizing individual, decontextualized skill development; and 3) Digital texts are more likely to be assigned in classes that experience test pressure. We find equity gaps between student identity …

Incipient: Contemporary Wildfire Management In The American West, Carlyn A. Mcaleer

Environmental Studies Senior Theses

The frequency, severity, and total area burned by wildfires has escalated dramatically alongside a similar increase in federal suppression spending. However, contemporary management remains rooted in a suppression‑centric framework that originated in the early‑20th‑century. Our current wildfire management practices are unsustainable in the face of this growing threat. Using an approach that blends historical analysis and spatial analysis, this thesis asks how current spatial patterns of burn probability (BP) overlap with existing fire-response infrastructure and population in eight states (Arizona, Colorado, Idaho, Montana, New Mexico, Nevada, Utah, Wyoming) in the American West and which barriers inhibit the adoption of proactive …

Should Dams Respond To Power Prices? Environmental Economics And Emissions Effects Of Hydropower Peaking, Levi Stephen Konrad-Shankland

Environmental Studies Senior Theses

Hydroelectricity stands to be particularly important to a decarbonizing power grid because unlike many renewables it is dispatchable. However, ramping up and down hydropower production at short notice to respond to power demand—hydropeaking—worsens many of the environmental harms of hydroelectricity (Bipa et al., 2024). In Chapter 1, I create a microeconomic framework to explain how and why revenue-motivated dams hydropeak.

In Chapter 2, I assess the extents to which six different case study dams around the US hydropeak, first by decomposing actual flow regime into combinations of counterfactual management objectives, and second with an index of flow variation alignment with …

Cloud Tank: Virtual Reality Performance Instrument For Embodied Audiovisual Remixing, Asya Ulger

Computer Science Senior Theses

Traditionally, live audiovisual performances are made behind a desk using a laptop and an audio controller. This setup restricts the performer’s movements and separates the artist from their work. Moreover, it narrows what counts as the performance to the output alone — the audience is preconditioned to treat the projected image and sound as the whole event, and not the artist producing it. Cloud Tank challenges this by positioning the performer’s body as the instrument, using virtual reality. As the performer, I mix spatialized audio and drive beat-aligned, reactive video layers through hand movement and hand-pose recognition. The audiovisual output …

Integrating Science Of Reading Principles Into Mathematics Instruction In Early Education, Sarah Eason

Science of Reading

Educator preparation programs have an opportunity to help future teachers understand how literacy and mathematics domains support one another. Language and literacy are foundational to mathematical thinking, communication, and problem solving. Integrating science of reading (SOR) principles into mathematics instruction can strengthen children’s learning across domains while helping educators maximize instructional time. This brief reviews research connecting language and mathematics learning and highlights practical strategies for incorporating SOR-aligned practices into early childhood mathematics instruction and teacher preparation.

Redesign And Flow Characterization Of Microcapsules Through Hollow 3d-Printed Microneedles, Ryan Lang

Bioengineering Master's Theses

Traditional bulk cavity microneedles suffer from stagnant zones and internal wall collisions that damage suspended cell carriers. This research computationally optimized and experimentally validated a novel multi-planar, branched hollow microneedle chamber to minimize dead volume and protect sensitive payloads. By replacing the traditional bulk cavity with a symmetric six-peripheral nozzle architecture, COMSOL simulations confirmed the elimination of central stagnation zones. Low fluid velocities (0.05 m/s) maintained streamline alignment, while higher velocities (0.32 m/s) induced wall impacts, a drift completely mitigated by high-viscosity fluids.

Arrays fabricated via SLA 3D printing demonstrated consistent cross-unit nozzle diameters, despite a 27.8% average print shrinkage. …

Algorithmic Tax Ownership, Young Ran (Christine) Kim, Dmitry Erokhin

Articles

Tax ownership is a crucial concept for determining tax liabilities, compliance, and enforcement. However, neither the courts nor the IRS has provided clear guidance on how to analyze it. Since the Supreme Court first outlined a twenty-six-factor test for determining tax ownership in Frank Lyon Co. v. United States in 1978, this multifactor test has remained largely unchanged, and there has been no further guidance from the courts or the IRS to this day. Even tests with shorter lists of factors only add to the confusion regarding compliance and enforcement, as there is no clarity on which factors are most …

Sea-Ice Observation In The Arctic By The Arab Satellite 813, Simulated By The Radiative Transfer Model ‘Sciatran’, Tuqa Mohsin Al Hajri

Theses

The purpose of this research is to explore the spectral behavior of sea ice and to understand how Arctic sea ice surfaces appear when they are observed with a hyperspectral sensor. This is crucial because sea ice changes a lot during the melt season, and different surface types can sometimes look similar to a human eye, but physically they are different. It is thus essential to identify the spectral differences between these surfaces. The main objective of this study is to examine how the spectra of white ice and melt ponds change when their physical and optical properties are varied, …

Control And Entrainment Of Oscillatory Dynamics In An Oncolytic Virus–Tumor Model Under Periodic Therapy Forcing, Aya Salaheddin Shujrawi

Theses

This thesis investigates the dynamics of a tumour–virus interaction model under sinusoidal periodic viral injection, using the three-compartment ordinary differential equation framework of Baabdulla and Hillen (2024). The aim is to characterise how the frequency and amplitude of periodic injection interact with the system's intrinsic oscillatory dynamics, and to identify conditions for stable frequency entrainment. Equilibrium and Hopf bifurcation analysis of the autonomous system yields a supercritical bifurcation at θ_H^auto ≈ 338.45 with intrinsic frequency Ω₀^auto ≈ 0.7552. Introducing a constant baseline injection u₀ = 0.05 raises the threshold to θ_H^forced ≈ 364.85 and shifts …

Design And Optimization Of A Bluff Body For Energy Harvesting Of Transverse Galloping Induced By Low-Speed Wind Using Bernstein Polynomial Equations, Youssef Wael Abdelmoneim

Theses and Dissertations

In this thesis, a computational framework is proposed for optimizing the aerodynamic shape of bluff bodies used in galloping-based wind energy harvesters. The system targets low-wind speed environments, where normal wind turbines are not effective, offering a potential alternative to batteries used for powering small electronic devices such as wireless sensors. The design relies on the galloping effect, where airflow around a bluff body induces transverse oscillations that drive an energy conversion mechanism. To generate efficient bluff body geometry, the Class-Shape Transformation (CST) method is used to define a wide range of candidate shapes with minimal design parameters. These shapes …

Agriculture, Politics, And Knowledge: The Dissemination And Evolution Of The Pictures Of Tilling And Weaving From The Southern Song Dynasty To The Qing Dynasty, Kaiyi Zhu, Ting Chen

Perspectives in the Arts and Humanities Asia

Gengzhitu 耕織圖 (Pictures of Tilling and Weaving) functions as a cultural artifact representative of agrarian civilization and dynastic governance, fulfilling dual roles as a vessel for agricultural knowledge and a motivational tool for farming practices. Over the course of its transmission from the Southern Song Dynasty to the Qing Dynasty, a fascinating relationship emerged between the practical knowledge imparted by the Pictures of Tilling and Weaving and its role as a motivational tool for agricultural practices, creating a dynamic interaction akin to a seesaw effect. The fluctuation between the “form” and the “knowledge” of the Pictures of Tilling and Weaving …

Interview With Karina A. Bolasco, Jonathan Chua

Perspectives in the Arts and Humanities Asia

No abstract provided.

Navigating Oer Support Without Drowning In Ai, Lydia Burrage-Goodwin, Christine Moynihan

Joseph P. Healey Library Publications

This was a presentation at the June 2026 Boston Library Consortium at Connecticut College.

UMB Healey Librarians Lydia Burrage-Goodwin and Christine Moynihan talk about what experiences they have had with faculty using OER and AI, which led them to develop ethics guidelines to support librarians who work with faculty authors. Attendees learned about creating AI use statements for OERs, using AI transparency logos, and applying open licenses to fully AI generated content as well as OER adaptations.

Modeling Generative Ai Adoption In Higher Education: An Integrated Tam–Tpb–Sdt Framework With Sem Validation, Dina Tbaishat, Omar Alfandi, Faten Hamad, Syed Muhammad Salman Bukhari, Suha Al Muhaissen

All Works

This study investigates the determinants of university students' adoption of generative artificial intelligence (GAI) tools in higher education. Integrating the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and Self-Determination Theory (SDT), it develops and tests a complete model that captures cognitive, social, and motivational influences on adoption. A cross-sectional survey was conducted among 517 undergraduate and postgraduate students at Jordanian universities. The data were analyzed using structural equation modeling (SEM) with a two-step approach: confirmatory factor analysis (CFA) to validate the measurement model, followed by SEM to test the hypothesized structural relationships. Reliability, validity, measurement invariance across …

A Proactive Food Demand Forecasting-Inventory Management Approach Under Weather Disruptions, Asmaa Seyam, Sujith Samuel Mathew, May El Barachi, Jun Shen

All Works

Effective demand forecasting has become crucial to strengthening system resilience, reducing food waste, and achieving sustainability in food systems. Despite recent advances in leveraging machine learning for food demand forecasting, most existing models remain static and assume stable demand patterns, posing a challenge for adapting to demand changes during disruption events. This paper develops a proactive approach that leverages demand forecasting outputs and weather disruption flags to guide inventory replenishment, ensuring adaptability to varying demand conditions across three weather disruption events while reducing waste. This paper first uses a stacking model to predict next-day demand for a food retailer, leveraging …

From Ethical Principles To Executable Governance: A Policy-As-Code Framework For Trustworthy Ai In Higher Education, Edmund Evangelista, Syed M. Salman Bukhari

All Works

Artificial intelligence holds great potential to transform higher education, but a persistent gap remains between ethical aspirations and their practical, auditable enforcement. This study addresses that gap by developing and validating an end-to-end executable governance framework grounded in a policy-as-code (PaC) paradigm. Using student dropout prediction as a high-stakes example, the framework operationalizes governance through an automated gatekeeper, a multi-strategy fairness mitigation toolbox, and a tamper-evident audit chain for full reproducibility. The governance compliance was tested across sixteen fixed model configurations evaluated under five policy tiers (strict, medium, lenient, and two deployment-realistic variants). None were approved, as fairness violations, dominated …

The Association Between Ethical Ai Use And Well-Being Among Young Adults In The Uae: A Structural Equation Modeling Approach, Areej Elsayary, Zeina Hojeij, Lames Abdul Hadi

All Works

This study examines the association between ethical AI use and young people’s emotional, social, and psychological well-being in the United Arab Emirates (UAE), where the number of hours spent on GenAI serves as a moderator. Framed within the Theory of Planned Behavior and aligned with the Sustainable Development Goals (SDGs), particularly SDG 3 (Good Health and Well-being) and SDG 13 (Climate Action), this research examines how responsible digital engagement is associated with both individual mental health and broader digital sustainability. A Structural Equation Modeling approach assessed how ethical AI behaviors are associated with well-being. A total of 204 participants, predominantly …

Insights Of Pre-Service Teachers In The Uae On Ai-Infused K-12 Classrooms: Implications For Policy And Curricula In Teacher Education, Ayman Massouti, Nessrin Shaya, Sandra Baroudi

All Works

No abstract provided.

Modeling Turbulent Accretion Flows Around Black Holes: Azimuthal Flux Derivative Density Curves In 3d Mhd Simulations, Sasmitha Purushothaman, Matthew D. Duez, Pavan Chawhan

University Honors Theses

When modeling two-dimensional axisymmetric accretion disks around Kerr black holes, setting the azimuthal terms of the MHD equations to zero causes the loss of turbulence and dynamo effects. In this paper, we use three-dimensional models to identify the turbulence that arises from azimuthal flux derivatives (AFDs) and create probability density functions to characterize them. We establish a pipeline for calculating the AFDs, creating a distribution, and normalizing it. Then, we plot the dependence of the conditional probability of the AFDs on density, magnetic field strength, and velocity for the continuity and magnetic induction equations. Future research can take this information …

Comparing The Sensitivity And Degree Of Boolean Functions Via The Hypercube, Anne-Caroline Rupp

University Honors Theses

This thesis studies three complexity measures of total Boolean functions f:{0,1}ⁿ → {0,1}: maximum sensitivity s(f), polynomial degree deg(f), and spectral sensitivity λ(f), where λ(f) is defined as the spectral norm of the adjacency matrix of the sensitivity graph. Building on the results of Aaronson et al., we examine the inequality chain √s(f) ≤ λ(f) ≤ deg(f) and investigate whether all three quantities can be simultaneously equal.

The first part of the thesis reverse engineers the equality cases of the two known inequalities to isolate necessary extremal conditions on both the Fourier structure of f and the local geometry …

Not Everyone Gets A Tree: Housing Values, Street Trees, And Equity In Portland, Matthew Moller

University Honors Theses

Street trees are positively associated with Portland home sale prices, but exposure and capitalization are uneven by race/ethnic neighborhood context. Urban trees are ecological assets, but their economic and equity implications remain uneven. This thesis examines street-tree exposure and 2023 residential sale prices in Portland, Oregon (n = 6,414) using a mixed-methodology hedonic design. Ordinary least squares models measure inventoried street-tree counts within 20m, 50m, and 100m buffers together with structural controls and census-block racial and ethnic context. Trees are positively and significantly associated with logged prices at all radii, with scale-sensitive magnitudes and modestly better fit as wider buffers. …

Effectiveness Of Tiered Supports In Mathematics, Dominique L. Brown

Dissertations

Mathematics proficiency has remained a persistent national challenge, with many students failing to meet grade-level expectations. This mixed-methods program evaluation examined the effectiveness of mathematics intervention strategies within Multi-Tiered Systems of Support (MTSS) for students in Grades 3–8. Guided by utilization-focused evaluation, the study explored educator perceptions, implementation practices, and system-level challenges. Quantitative data were collected through an anonymous survey (n = 19), and qualitative data were obtained from one semi-structured interview. Descriptive statistics and inductive coding were used for analysis, with extant data providing contextual support. Findings indicated that small-group instruction was perceived as highly effective; however, inconsistencies in …

Afterschool Program Attendance And Academic Outcomesin A Vermont District, Hans W. Cabra Hernandez

Journal of Youth Development

Afterschool programs can bridge opportunity gaps by providing children with venues for learning and cultivating socioemotional skills. This paper examines the relationship between attendance in afterschool programs in a Vermont school district and two academic outcomes (the Scholastic Reading Inventory/SRI and the EasyCMB math test) using cross-sectional data from Spring 2018. Using multivariate regression analysis, this study found a positive association between afterschool program attendance and academic achievement on these tests. Moreover, the findings indicate the persistence of socioeconomic academic disparities. While the study’s design does not permit causal claims, the results suggest that afterschool programs are a valuable resource …

The Security Of Llm-Generated Code, Christopher Brian Gonzalez Ayala

Student Theses

The rapid adoption of Large Language Models (LLMs) in software development has transformed coding practices by enabling automated code generation, completion, and optimization. Despite these advantages, concerns persist regarding the security and reliability of LLM-generated code. This study presents a comprehensive evaluation of both the functional correctness and security of code produced by three prominent LLMs as of early 2026. A total of 4,800 code snippets were generated using 100 security-focused programming prompts derived from the OWASP Top 10:2025, translated across eight natural languages and two phrasing styles (literal and natural developer-oriented prompts). To assess performance, a multi-stage experimental framework …

Forensic Analysis Of Temporary Tattoo Markers And Inks, Daniel J. G. Chasse Jr

Student Theses

As tattoos rise in popularity, some marker manufacturers have created temporary tattoo markers so that children and adults can experience tattoos without the permanence of a regular tattoo. These new products are marketed explicitly as ‘temporary tattoo markers’ and intended for direct application to the skin. This research aims to scientifically evaluate the inks from these temporary tattoo markers to elucidate their physical and chemical properties using wet chemistry, visual examination, ultraviolet-visible spectroscopy (UV/Vis), Fourier-transform infrared spectroscopy (FT-IR), attenuated total reflectance infrared spectroscopy (ATR-IR), thin layer chromatography (TLC), and diffuse reflectance infrared spectroscopy (DRIFTS) to analyze temporary tattoo markers and …

Adversarial Robustness Of Perceptual Hashing Systems: A Unified Security Evaluation Framework, Avijit Roy

Student Theses

Social network platforms, child safety organizations, and image provenance systems use perceptual hashing to identify known child sexual abuse material (CSAM), support content moderation and reverse image search, and verify image integrity. Perceptual hashing works by producing similar fingerprints for visually similar images, even after common transformations such as compression, resizing, or minor brightness changes. This useful similarity-preserving property also creates an adversarial attack surface, as attackers can use AI-assisted or conventional image manipulation techniques to move a hash across a matching threshold while maintaining visual similarity, often without access to specialized hardware.

The security failures produced by adversarial attacks …

The Comparative Chemical Analysis Of Colored Henna, Vani D. Bhagwandeen

Student Theses

Henna, a natural dye derived from Lawsonia inermis, is widely used for temporary body art, hair coloring, and cultural decorative practices such as Mehendi. Traditional henna produces a reddish-brown stain through lawsone, a naphthoquinone chromophore that binds to keratin in skin, hair, and nails (Badoni Semwal et al., 2014; de Groot, 2013; Kumar Singh et al., 2015). Commercial henna products have increasingly incorporated synthetic dyes, pigments, and glitter additives to produce a broader range of colors and effects (Blair et al., 2004; Manso et al., 2017; Blackledge & Jones, 2007). Despite their prevalence, limited forensic research has examined the …