Digital Commons Network^™

Psychological Architecture: Evaluating The "Greenhouse Model" As A Structural Standard For Lgbtq+ Well-Being, Ava Lee

University Honors Theses

Traditional LGBTQ+ mental health frameworks often conceptualize psychological safety as a matter of individual endurance. This paper critiques this focus on adaptive resilience, which systematically shifts responsibility from institutions to individuals. To counter this, the study introduces "Psychological Architecture," a framework viewing social environments as constructed infrastructures that can either support or undermine queer well-being. The model contrasts performative "Glasshouses," which prioritize visibility over safety, with engineered "Greenhouses" that nurture sustainable safety through three sequential pillars: Authentic Representation (walls), Emotional Validation (insulation), and Vocal Activism (ventilation).

Grounded in the findings of a 2024 qualitative pilot study of a queer roller …

A Decade Of Leadership And Impact: Celebrating 10 Years Of The Ors Spine Section, Makarand V. Risbud

College of Life Sciences Faculty Papers

No abstract provided.

Long-Covid And Cognition, Mychael Bruce

Dissertations

COVID-19 is an evolving virus that can harm the body’s respiratory and cardiovascular systems. Directly related to COVID-19 are individuals who do not recover from their initial infection, making them long haulers. Long-COVID is transitioning from a range of isolated phenomena to higher prevalence rates in patients who contracted COVID-19. Many individuals report issues with cognitive function, referred to as ‘brain fog’, that affect memory, attention, and even language skills. This literature review addresses the available research on Long-COVID and how persistent infection correlates with cognitive difficulties. It aims to explain the neurobiology of Long-COVID and how Long-COVID interacts within …

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 …

Fostering Developmentally Nurturant Relationships To Promote Character And Thriving: Perspectives Of Program Practitioners In Rural South Africa, Jonathan M. Tirrell, Alexa Hasse, Margaret Mackin, Elizabeth Dowling, Kirsten Olander, Roya Abbasi-Asl, Katherine Mcconnel, Thobeka Kwela, Raah Msimango, Justine Mccarthy-Martin, Tyler Howard, Angela Larkan, Richard Lerner

Journal of Youth Development

Developmentally nurturant relationships are fundamental to enabling children to thrive across contexts, including homes, schools, and communities. Such relationships are also a central feature of effective positive youth development (PYD) programming. As strengths-based PYD programs are increasingly being adopted in majority-world countries, a better understanding of how to foster and promote developmentally nurturant relationships is needed. As part of the Thanda Study of Character and Health, we interviewed 15 program practitioners about their understandings of and approaches to fostering developmentally nurturant relationships with children enrolled in Thanda programs in rural KwaZulu-Natal, South Africa. Phenomenological analysis indicated that practitioners’ understanding of …

Walking The Path Of Conocimiento: Understanding And Navigating Workplace Conflict Through A Chicana Feminist Lens, Elisa A. Ortega-Schultz

Dissertations

The growing presence of Latinas in the U.S. workforce underscores the need for deeper understanding of their workplace experiences. Latinas represent one of the fastest growing segments of the labor force; however, research consistently shows that this growth is not matched by equitable access to leadership, compensation, or culturally responsive workplace environments. Latinas continue to experience persistent barriers related to pay inequity, career advancement, cultural belonging, and overall well-being.

Conflict frameworks that account for the unique experiences of Latinas are needed, as dominant approaches rooted in neutrality, procedural efficiency, and Western individualism often fail to account for the embodied, relational, …

Quantum And Conventional Informatics Studies Of Synthesis Energetics And Defect Formation In Nitride Crystal Epitaxy, Andrew Steven Messecar

Dissertations

Machine learning is a valuable approach for the processing and analysis of complex information. By estimating relationships from recorded data, machine learning methodologies can be effective strategies for pattern recognition, enabling investigations and technological applications based thereon. The potential for improved understanding of high-dimensional data has drawn interest towards machine learning from across the sciences, including the research and development of new and improved material systems. In the context of experimental materials research, much of the reported efforts to incorporate machine learning into conventional practice have been primarily focused on either the enhanced analysis of characterization experiment data or the …

When Saying "No" Is Not Enough: Cognitive-Action Decoupling And The Illusion Of Safety In Llm Agents, Shasha Yu

School of Professional Studies

Current safety evaluations of large language models (LLMs) predominantly rely on textual compliance, implicitly assuming that refusal-style responses correspond to safe behavior. This assumption becomes fragile when LLMs are embedded in agentic systems with the ability to execute state-changing actions. In this paper, we present an empirical critique of text-centric safety evaluation through an action-aware study of LLM agents under controlled conditions. Across multiple state-of-the-art models, we observe a recurring cognitive-action decoupling: agents generate policy-aligned refusal language while still producing unsafe tool-mediated action proposals. This produces an illusion of safety, where conversational audits indicate compliance even as operational risk persists. …

A Simple Guide To Responsible Management And Sharing Of Research Data At Unh, Julie Simpson, Patricia Condon, Bonnie Brown, William C. Clyde, James J. Connell, Ramonda Kindle, Nathan A. Schwadron, John E. Sparrow, Xueting Sun, Engin Taze, May-Win Thein, Anita R. Tucker, Karen T. Vangundy, James Wible

Integrity in Research and Scholarship

We developed this simple guide to help researchers navigate the University of New Hampshire’s (UNH) Policy on Ownership, Management, and Sharing of Research Data (“UNH research data policy”). It can be challenging for researchers to translate policy into workflows, and we recognize a need for more actionable and user-friendly guidance to help researchers apply the policy in their everyday work. The UNH research data policy outlines institutional responsibilities related to data ownership, retention, recording, and sharing, as well as roles and responsibilities of principal investigators and students. This resource was adapted from a training module intended to translate the UNH …

Trace: Temporal Rhetorical Analysis And Consistency Evaluation For Legislative Speech, David Hernandez

Master's Theses

Legislators frequently discuss the same policy issues across multiple hearings and legislative sessions, sometimes maintaining consistent positions and other times modifying or reframing their stance over time. Understanding how these positions evolve is important for analyzing political discourse and democratic accountability, yet identifying such shifts at scale remains difficult.

We introduce TRACE (Temporal Rhetorical Analysis and Consistency Evaluation), a system built on the Digital Democracy Database (DDDB) for detecting rhetorical inconsistency in California legislative hearing testimony. TRACE organizes utterances into speaker-anchored timelines indexed by bill and session, then applies hybrid semantic retrieval — combining dense BGE embeddings with BM25 lexical …

Building Services Engineering May/June 2026

Building Services Engineering

No abstract provided.

The Use Of Modular Construction To Improve Schedule Efficiency, Brandon Ritchie

Construction Management

The construction industry continues to face growing pressure to deliver projects on tighter schedules with fewer resources. Modular construction has emerged as a delivery method with the potential to improve schedule efficiency by allowing off site fabrication and on site work to occur simultaneously. This research examines how modular construction affects schedule performance compared to traditional construction methods. When modular construction is well coordinated, project schedules will show improved efficiency compared to traditionally built projects. Qualitative interviews were conducted with members of the Whiting Turner team on the Cal Poly Student Housing Project, backed up by a review of schedule …

Skip The Grid: Bringing Solar Energy To The Navajo Nation, Makaela L. Zavala

Construction Management

Skip the Grid is an interdisciplinary service project in which California Polytechnic State University (Cal Poly) students partner with Heart of America and SOLV Energy to install off-grid solar systems for families in the Navajo Nation and Hopi Reservation. The project aims to address energy inequity by providing reliable electricity for lighting, refrigeration, and essential daily needs. This paper focuses on the communications and logistics planning required to support a large-scale service project involving over twenty students and multiple partner organizations. The methodology included coordinating travel, organizing team assignments, managing documentation, and maintaining communication throughout the trip. The project resulted …

Skip The Grid: Bringing Power To Navajo Nation Through Off-Grid Solar Systems, Maggie Papaharisi

Construction Management

Skip the Grid is an interdisciplinary service-learning project where California Polytechnic State University (Cal Poly) students partner with Heart of America and SOLV Energy to install off-grid solar systems for families in the Navajo Nation who do not have reliable access to electricity. Due to the remote location and high cost of infrastructure, a significant portion of households lack basic utilities, making access to lighting, refrigeration, and power difficult. During the 2026 project, a team of students from multiple disciplines spent several months preparing before traveling to Arizona, where installation teams completed solar systems in 50 homes over three days. …

Modular Student Housing At California Polytechnic State University, San Luis Obispo: A Case Study On Efficiency And Implementation, Michelle Lara

Construction Management

As universities continue searching for ways to deliver student housing more efficiently, volumetric modular construction has emerged as a potential alternative to traditional construction methods. However, there is limited documentation on how modular student housing projects are implemented on active California State University campuses. This study examines the implementation of volumetric modular construction on the California Polytechnic State University Student Housing Project through a qualitative case study approach. Data was collected through interviews with project personnel involved in construction management, project engineering, and fire and life safety compliance, along with a review of existing literature. While the project demonstrated several …

Privacy As A Democratic Guardrail: A Case For Fourth Amendment Constraints On Micro-Targeted Rhetoric, Susan Tanner

Nevada Law Journal

No abstract provided.

Spatiospectral Lobes And Radiation Modeling Of Partially Coherent Supersonic Jet Noise, Tyce Wayne Olaveson

Theses and Dissertations

Noise fields generated by high-performance military jets are known to contain acoustic structures that differ from their simulated and lab-scale counterparts. These differences may limit current noise control efforts, which are designed and tested at scale before being considered for full-scale aircraft. One such noise structure is the presence of spatiospectral lobes, which appear as multiple spectral peaks at single microphone locations and multiple radiation lobes in field reconstructions. This dissertation uses data collected from the T-7A jet noise measurement to characterize the spatial behavior of the spatiospectral lobes as well as their first time-domain description. A multiple wavepacket decomposition …

Chemical Structure Representation Standardization Is Needed To Generalize Metabolite-Pathway Involvement Prediction Across Kegg, Reactome, And Metacyc Knowledgebases, Erik D. Huckvale, Hunter N.B. Moseley

Markey Cancer Center Faculty Publications

Background/Objectives: Due to the utility of knowing the pathway involvement of metabolites detected in biological experiments, knowledgebases such as the Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome, and MetaCyc have annotated compound entries to specific pathways defined by the knowledgebase. However, these compound-pathway annotations are largely incomplete and are costly to obtain experimentally or curate from published scientific literature. This metabolite-pathway annotation incompleteness problem is amenable to machine learning (ML)-based solutions. But to date, no machine learning model has been trained on all three knowledgebases to maximize its performance and robustness. This may be due to inconsistencies in chemical …

In Situ Molecular Organization And Heterogeneity Of The Legionella Dot/Icm T4ss, Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen

Markey Cancer Center Faculty Publications

The Dot/Icm type IV secretion system (T4SS) is essential for Legionella pneumophila infection, but its in situ architecture and mechanism remain incompletely understood. Using cryo-electron tomography, we performed subtomogram averaging and 3D classification to resolve structural heterogeneity within the complex. We identified multiple assembly states of the inner membrane complex, including a fully assembled form with a hexamer-of-dimers DotO ATPase and symmetry mismatches between subcomplexes. A composite in situ model revealed a central channel above the inner membrane, likely used for substrate secretion. Imaging of infected macrophages showed T4SSs tethered to host vacuoles and extracellular vesicle release, suggesting additional effector …

Can Generative Ai Make Farming Decisions? Current Status And Future Pathways: A Case Study In Row Crop Production With Chatgpt, Nipuna Chamara, Yufeng Ge, Joe Luck, Yu Pan, Saleh Taghvaeian, Cory Walters, Christopher Proctor, Daran Rudnick, Daren Redfearn

Department of Agricultural and Biological Systems Engineering: Faculty Publications

The agricultural decision-making process is experience-based, knowledge-dependent, time-sensitive, complex, and driven by historical data. Planting, fertilization, irrigation, and chemigation are key categories in farm decision-making, and currently there is no one-shot decision-support tool that covers all these activities. Generative Artificial Intelligence (AI) models are more advanced than traditional machine learning and deep learning models. These models have been trained on vast amounts of data from the internet, allowing them to accept unstructured data in various forms and generate human-like text, solutions to problems, and scenario predictions. Given this capability, we became interested in exploring the potential of generative AI in …

Silk Vista Baby Versus Pipeline Embolization Device For Unruptured Distal Anterior Cerebral Artery Aneurysms: A Multicenter Propensity-Weighted Comparative Study., Valerio Da Ros, Frédéric Clarençon, Adam A. Dmytriw, Pascal Jabbour Md, Marios Psychogios, Peter Sporns, Ajit S. Puri, Ameer E. Hassan, Oktay Algin, Markus A. Möhlenbruch, Mauro Bergui, Oded Goren, Gregoire Boulouis, Takeshi Morimoto, Raoul Pop, Joanna Wk Ho, Virginia Pujol Lereis, Jared Cooper, Giancarlo Salsano, Alessandro Sgreccia, Arturo Consoli, Eytan Raz, Julien Burel, Khawaja Muhammad Baqir Hassan, Zhe Ji, Riitta Rautio, Maria Ruggiero, Federico Sabuzi, Stefania Proietti, Joseph Domenico Gabrieli, Michael Levitt, Antonio Armando Caragliano, Christophe Cognard, Gaultier Marnat, Nicola Limbucci, Mariangela Piano, Alexis Guedon, Andrea Romi, Fortunato Di Caterino, Mykola Vyval, Adrien Guenego, Mohamad Abdalkader, Thanh Nguyen, Vitor Mendes Pereira, Ocilio Ribeiro Goncalves, Erwah Kalsoum, Alessandro Pedicelli, Andrea M Alexandre, Luca Scarcia

Department of Neurosurgery Faculty Papers

BACKGROUND: Flow diversion is effective for unruptured distal anterior cerebral artery (DACA) aneurysms, yet comparative data between the Silk Vista Baby (SVB) and Pipeline Embolization Device (PED) in this challenging territory remain scarce.

METHODS: We conducted a retrospective multicenter study using the CRETA Registry, including consecutive patients with unruptured DACA aneurysms treated with SVB or PED. The primary endpoint was complete angiographic occlusion (O'Kelly-Marotta grade D). Secondary outcomes included procedural characteristics, clinical outcome (modified Rankin Scale), and complications. Overlap weighting was applied to account for non-randomized treatment allocation. Predictors of occlusion were explored using penalized logistic regression. A sensitivity analysis …

Holding Pattern: The Making Of An Ep, On Intuition, And Form Becoming The Content, Oscar Larson Phillips

University Honors Theses

This craft essay traces the making of "Holding Pattern," a three-song EP representing the culmination of five years of development in composition, production, lyric writing, and sound engineering. Each song addresses its own distinct emotional territory: the tension between confidence and self-doubt, resistance to creative conformity, and the experience of emotional dissociation. Together they form a single arc: reaching out, holding your ground, and surviving it. This essay moves through each song, examining how production decisions, lyrical construction, and the recording process each served the content of the work. Working intuitively across composition, sampling, collaboration, and recording, what only became …

Gps Tracking Smart Dash Cam Capstone Review, Simrah Saleem

University Honors Theses

This thesis details our design, implementation, and collaborative development of an intelligent vehicle logging system built on a Raspberry Pi 5. Unlike standard consumer dash cams that act as closed "black boxes," our system uses a dual-camera stereo vision setup integrated with centimeter-level accuracy. While we successfully built a functional Proof of Concept capable of event-triggered recording, dual-monitor visualization, and smart detection and recognition, this paper focuses on our engineering journey and the real-world challenges we faced. Using an Agile framework, we split into three specialized sub-teams to handle hardware, database, and interface design in parallel. This structure created unique …

An Exploratory Latent Segmentation Approach To Account For Temporally Shifting Parameters In Driver Injury-Severity Models, Tanmoy Bhowmik, Shahrior Pervaz, Fred Mannering, Naveen Eluru

Civil and Environmental Engineering Faculty Publications and Presentations

Temporally shifting parameters in crash severity modeling is a well-documented phenomenon, with growing evidence suggesting that the influence of explanatory variables changes over time due to shifts in driver behavior, vehicle technology, and roadway conditions. Many studies have examined this issue by comparing the temporal stability of adjacent-year data using a variety of modeling frameworks that have often assumed a homogenous effect of explanatory variables across the entire crash population. The current research effort departs from past work in two ways. First, it compares data separated by multiple years (instead of comparing adjacent years), and second, it tests the homogeneous …

Drug Cartel Innovation: A Case Study Report, Isaac J. Moelter, Ares Boira-Lopez, Amanda N. Moeller, Samuel Hunter

Reports, Projects, and Research

This report explores the emerging landscape of cartel innovation through a series of case studies that highlight key events where cartels introduced novel tactics and capabilities. These cases explore not just what occurred, but how and why each event unfolded, and what it means for policymakers, practitioners, and communities. These examples illustrate how innovation is a strategic response to pressure and competition within an increasingly complex environment.

Efficient Mathematical Modeling And Synthesis Of Realistic Musical Instrument Sounds, Andrew Chookaszian

Master's Theses

This thesis develops and evaluates a compact parametric additive synthesis model for isolated musical instrument tones. The method analyzes a single-note recording, estimates its fundamental frequency, extracts harmonic amplitude and frequency behavior, and stores the sound as a reduced set of interpretable parameters. These parameters include the note duration, pitch, per-harmonic amplitude envelopes, phase information, and amplitude- and frequency-modulation vibrato parameters. The stored model is then used to resynthesize the tone without directly using the original audio waveform.

The model was evaluated using synthetic signals, real instrument samples, objective error metrics, storage comparisons, pitch and duration modification tests, and listening …

Object Detection And Classification For Man-Made Structures To Aid In Search And Rescue (Sar), Mio A. Nakagawa

Master's Theses

This project explores the use of various object detection and classification models to identify permanent man-made structures, specifically cell towers, water towers, watch towers as well as its corresponding shadows (attributes), from aerial imagery. The goal is to evaluate those models and test the feasibility of current models to detect man-made structures in aerial images, in an effort to support search and rescue operations as well as update network infrastructure databases. Multiple object detection models, as well as classification models, including YOLOv8 and VGG19 are implemented and trained on annotated aerial images to determine the presence or absence of man-made …

Hamster: Hybrid-Actuated Mobile Spherical Terrain Exploration Rover, Winnie Gao

Master's Theses

The expansion of space exploration to increasingly challenging planetary environments requires mobility systems capable of extreme traversal capabilities and operational reliability. This thesis presents the design, development, and testing of a low-cost Hybrid-Actuated Mobile Spherical Terrain Exploration Rover (HAMSTER) intended for use on a planetary surface exploration mission. HAMSTER uses a pendulum-based actuation method for steering and an actuated internal shaft to propel the vehicle forward. The internal structure includes a two-tiered central case composed of the navigation control module, accelerometer, motor controller, primary DC motor, battery, voltage regulators, Raspberry Pi, pendulum servo motor, and drive shafts. Additive manufacturing through …

Challenges And Opportunities Of Mastery-Based Learning: A Student-Centered Analysis In An Upper Division Programming Languages Course, Parshana Sekhon

Master's Theses

Traditional grading structures in computer science courses reward performance on a few high-stakes assessments that may not accurately reflect a student’s mastery of concepts. Mastery-Based Learning (MBL) offers students multiple opportunities to demonstrate understanding through iterative feedback and reassessment, promoting their persistence and self-regulation. However, MBL can promote student behaviors like procrastination, “minimal effort” attempts, or de-prioritizing the course in favor of other courses with inflexible deadlines, which may undermine its effectiveness. This case study investigates how students navigated MBL in an upper-division computer science course at Cal Poly in San Luis Obispo. The course explores the fundamentals of programming …

Design And Implementation Of An Embedded Control System For The Cal Poly Spacecraft Attitude Dynamics Simulator, Neil Mahesh Bedagkar

Master's Theses

This thesis presents the development of a cascaded reaction wheel control system for Cal Poly's Spacecraft Attitude Dynamics Simulator. This work considers system architecture, empirical modeling, high-fidelity simulation, embedded firmware, hardware integration, and experimental characterization. In discrete-time simulation, it is shown that nonlinear direct model reference adaptive control (NDMRAC) enables a nonlinear, partially known plant with realistic actuator dynamics to track the response of a canonical second-order transfer function, with settling time within 4.67% and percent overshoot within order of magnitude of the second-order response. In hardware, the feasibility of a cascaded reaction wheel control architecture is experimentally demonstrated, achieving …