Digital Commons Network^™

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 …

Towards Efficient Continual Learning: From Memory Optimization To Foundation Models, Zilin Luo

Dissertations and Theses Collection (Open Access)

Continual learning, also termed lifelong learning, enables machine learning models to incrementally acquire new knowledge while mitigating the degradation of previously learned information—a capability essential for adapting to dynamic, real-world data environments. This dissertation investigates the core challenges of continual learning and extends its application to enhancing training efficiency in the era of foundation models. The first part of this dissertation addresses the constraints of few-shot exemplar storage with a novel compression framework. While leveraging class activation maps to downsample non-discriminative pixels, we introduce an adaptive masking model, optimized through bilevel optimization, to store more exemplars efficiently. The second part …

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 …

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 …

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 …

Assistive Active Safety, Long Nguyen

Theses

As electric bicycles become faster and more prevalent in urban environments, the safety systems designed to protect riders face significant challenges. The current industry standard relies heavily on auditory warnings—which can exclude Deaf and Hard of Hearing (HOH) cyclists—and digital dashboards that often demand intense visual focus. Forcing a rider to process cluttered screen data while navigating high-speed traffic can contribute to cognitive overload and physical danger. This thesis explores how micro-mobility safety might be improved by shifting away from auditory-dependent alerts toward intuitive, multi-sensory communication. To address this safety gap, this project introduces the Assistive Active Safety (AAS) framework. …

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 …

Foundation For A Digital Beamforming System Using Software Defined Radio, Daniel Cruz Guerrero, Shiron Bendrihem, Benjamin Tucker

Electrical Engineering

This report demonstrates a basis for the foundation of a software-defined radio (SDR)-based digital beam forming system. Specifically, a discussion of time, frequency, and phase synchronization is had in the absence of costly hardware like an OctoClock. Furthermore, this report digs deep into the design process and device characterization of a 4-way Wilkinson Power Divider, which is a necessary hardware component for phase calibration. SDR synchronization and calibration are critical in any digital beamforming system.

Design And Characterization Of A Pulsed Electric Field Chamber For Microalgae Lysis, Connor Strutin

Electrical Engineering

Microalgae are a promising renewable source of biofuel due to their high lipid content and rapid growth rates; however, algae cells must be electroporated (lysed) to release these lipids. The system developed in this project applies short (40 μs–10 ms), high-intensity (up to 33 kV/cm) pulsed electric fields (PEF) across cell membranes to enable electroporation.

Our lab-scale PEF chamber generates uniform, high-intensity electric fields using parallel-plate electrodes with sub-millimeter spacing. The system is designed to efficiently lyse microalgae cells for lipid extraction and biofuel production.

Maximum Power Point Tracking For Photovoltaic Cells, Rodrigo Menchaca-Ramirez, Jesus Martinez, Steven Rodriguez

Electrical Engineering

Unlike an ideal DC Power Supply, a solar panel does not operate with linear I-V Characteristics. The voltage and current characteristics of a solar panel change based on irradiance, temperature, weather conditions, and load demand. Because of these factors, solar panels do not always operate at their Maximum Power Point, which can lead to significant power losses. Maximum Power Point Tracking is used to adjust the panel operating point so that more usable power can be delivered to the load.This project developed a Maximum Power Point Tracking system using an STM32 Nucleo-L4A6ZG microcontroller and an LT8705A DC-DC converter stage. The …

James P. George, James P. George

Faculty CVs

No abstract provided.

Contributor Bios, Editorial Board

Intertidal

No abstract provided.

The Neighbor, Adam Wanlin

Intertidal

No abstract provided.

June 2026 News Releases, University Of Montana--Missoula. Office Of University Relations

University of Montana News Releases, 1928, 1956-present

No abstract provided.

Dental Care Utilization Among Sexual And Gender Minority Individuals, Ishita Singh, Oladipo Afolayan, Sarah S Jackson, Irene Tamí-Maury

Faculty, Staff and Student Publications

Objectives: Sexual and gender minority (SGM) individuals can experience notable health disparities, including higher HIV prevalence, social isolation, substance abuse, lack of culturally competent providers, and poorer health outcomes compared to heterosexuals due to stigma and discrimination. This study aims to identify predictors of dental care utilization across sexual minorities using the 2023 TEXAS PRIDE Survey.

Methods: We analyzed data from 517 SGM individuals, assessing sociodemographic characteristics, health behaviors, and recent medical and dental visits. Multivariable logistic regression identified predictors of dental care utilization (i.e., a dental visit in the past year).

Results: Among sexual orientation groups, reported dental care …

Design And Parametric Study Of A Mems-Based Reservoir Computer For Reinforcement Learning, Andrew P. Carr

Master's Theses

Single-node reservoir computing (RC) is a hardware-efficient approach to machine learning, leveraging the dynamics of physical systems. In this work, two reinforcement learning algorithms, Q-learning and Proximal Policy Optimization (PPO), are applied to a simulated micro-electro-mechanical system (MEMS)-based reservoir computer to solve both discrete and continuous control tasks. MEMS-based reservoirs are low-power, compact, and their natural frequencies (kHz to MHz) pair well with real-time control loops. To explore the relationship between reservoir dynamics and learning performance, a parametric study is conducted on two reservoir hyperparameters, reservoir size and neuron separation, using CartPole-v1 and MountainCar-v0. The RC successfully learns multiple tasks …

Design For Repairability: Analyzing The Evolution Of Smartphone Repairability To Generate Design Insights, Pranav Peddinti

Master's Theses

Smartphones are a major part of daily life, allowing people to communicate, browse the internet, shop, and enjoy entertainment. However, smartphones tend to be replaced quickly and therefore contribute to the growing electronic waste problem. The lifecycle of a smartphone can be extended by designing them to be more repairable, making it easier for owners and users to perform the repairs themselves. By only replacing failing components, the device can be in use longer, reducing the waste and pollution generated by replacing the device entirely. Therefore, product designers and engineers must focus on designing smartphones to be more repairable. Design-for-repairability …