Digital Commons Network^™

Property Testing Ai: An Efficient Frontier, Paul Sopher Lintilhac

Dartmouth College Ph.D Dissertations

In this dissertation, we take a step towards addressing the major problem of a lack of standardized and rigorous approaches to testing and evaluation of AI systems. Taking inspiration from both the fields of Property Testing and Property Based Testing (for programs), we develop a novel taxonomy of partially overlapping classes of properties of AI systems, including simple properties, compound properties, higher order properties, data relation properties, and architecture-utility properties. We argue that this taxonomy categorizes a diverse set of AI traits -- including accuracy, fairness, robustness, monotonicity, point-wise and global privacy properties, sensitivity, and more -- according to the …

Leadership Case Studies, Jayme Renfro, Anne Marie Gruber

Faculty Book Gallery

This volume is a collection of case studies by University of Northern Iowa's Master of Public Policy (MPP) graduate students, as well as undergraduate students studying leadership and management in public service. It is our hope that these case studies can be used as teaching and learning tools, as a deep-dive into leadership theory and practice.

Some details within the case studies, which are a combination of fiction and non-fiction, have been changed to protect privacy. Some student authors have chosen to remain anonymous or publish under a pseudonym.

Editor: Dr. Jayme Renfro, Associate Professor of Political Science, with support …

Media And Power, Bettina Fabos, Christopher R. Martin, Catherine H. Palczewski

Faculty Book Gallery

This handbook guides students through concepts, content, and exercises that help them develop media literacy by understanding media and power. The authors want students to not only gain the ability to critically analyze the languages and discourses – textual, visual, audio, and code – that people use to create and interpret media content, but also to understand the overarching context: media possess immense power in contemporary societies around the world.

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.

Final Bpsou Unreclaimed Sites: Ur-05 Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Lse-Net: Integrated Segmentation And Ensemble Deep Learning For Enhanced Lung Disease Classification, Bhavan Kumar Basavaraju, Mohammad Masum

Faculty Research, Scholarly, and Creative Activity

Accurate classification of lung diseases is vital for timely diagnosis and effective treatment of respiratory conditions such as COPD, pneumonia, asthma, and lung cancer. Traditional diagnostic approaches often suffer from limited consistency and elevated false-positive rates, highlighting the demand for more dependable automated systems. To address this challenge, we introduce LSE-Net, an end-to-end deep learning framework that combines precise lung segmentation using an optimized U-Net++ with robust classification powered by an ensemble of DenseNet121 and ResNet50. Leveraging structured hyperparameter tuning and patient-level evaluation, LSE-Net achieves 92.7% accuracy, 96.7% recall, and an F1-score of 94.0%, along with improved segmentation performance (DSC …

On The Application Of Long Short-Term Memory Neural Network For Daily Forecasting Of Pm2.5 In Dakar, Senegal (West Africa), Ahmed Gueye, Serigne Abdoul Aziz Niang, Ismaila Diallo, Mamadou Simina Dramé, Moussa Diallo, Ali Ahmat Younous

Faculty Research, Scholarly, and Creative Activity

This study aims to optimize daily forecasts of the PM2.5 concentrations in Dakar, Senegal using a long short-term memory (LSTM) neural network model. Particulate matter, aggravated by factors such as dust, traffic, and industrialization, poses a serious threat to public health, especially in developing countries. Existing models such as the Autoregressive integrated moving average (ARIMA) have limitations in capturing nonlinear relationships and complex dynamics in environmental data. Using four years of daily data collected at the Bel Air station, this study shows that the LSTM neural network model provides more accurate forecasts with a root mean square error (RMSE) of …

Modeling Femtosecond Laser Interaction With Glass For Optical Fabrication, Nathan Klein

Theses

The fabrication of precision optics is critical for a wide range of applications, including biosensors, virtual and augmented reality, medical imaging, and micro-electronics. However, it is challenging to meet the demands of these applications with conventional chemical and mechanical fabrication methods, as they can introduce chemical waste, mid-spatial-frequency errors, and subsurface damage that degrades image quality. Femtosecond lasers have emerged as a promising alternative, offering fast, non-contact, and chemical-free machining with single digit nanometer precision. This thesis presents a computational model designed to investigate the interaction process between a high-intensity femtosecond laser pulse and dielectric material. A pulse propagation model …

Investigating Hardware Injections In Ligo O3 Data: Simulated Signals From A Neutron Star In A Low-Mass X-Ray Binary, Jediah Gofhaone Tau

Theses

Simulated continuous gravitational wave (CW) signals, called hardware (HW) injections were added to the data in the LIGO detectors' third observing run (O3), including two periodic signals mimicking a spinning neutron star in a binary system, similar to the Low-Mass X-Ray Binary (LMXB) Scorpius X-1 (Sco X-1). Using a cross-correlation pipeline, which searched for CWs from Sco X-1 in O3, we searched for these HW injections, using an uncertainty around the true signal parameters akin to the uncertainty associated with the parameters of Sco X-1. One of the signals, residing in the 230-235 Hz frequency band, was detected. The other …

Developmental Lead Exposure And Aggression In Male Rats: Influences Of Maternal Care And Environmental Enrichment, Shamaila Zafar, Courtney K. Williams, Jaehyun Joo, Blanca E. Himes, Jay S. Schneider

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Developmental lead (Pb) exposure results in a variety of cognitive deficits and behavioral issues including increased antisocial behavior and aggression. This study investigated the effect of developmental Pb exposure on aggression and violent behavior in male rats and the potential modulatory influences of quality of maternal care and enriched/non-enriched housing conditions. Long-Evans male rats with or without Pb exposure (perinatal or early postnatal) from low or high maternal care mothers (based on amounts of licking/grooming and arched- back nursing) were randomly assigned to live in enriched or non-enriched environments at weaning. At post- natal day 120–190, offensive aggression was assessed …

Association Of Sars-Cov-2 With Health-Related Quality Of Life 1 Year After Illness Using Latent Transition Analysis, Lauren Wisk, Michael Gottlieb, Peizheng Chen, Huihui Yu, Kelli O'Laughlin, Kari Stephens, Graham Nichol, Juan Carlos Montoy, Robert Rodriguez, Michelle Santangelo, Kristyn Gatling, Erica Spatz, Arjun Venkatesh, Kristin Rising, Mandy Hill, Ryan Huebinger, Ahamed Idris, Michael Willis, Efrat Kean, Samuel Mcdonald, Joann Elmore, Robert Weinstein

Department of Emergency Medicine Faculty Papers

BACKGROUND: Long-term sequelae after SARS-CoV-2 infection may impact health-related quality-of-life (HRQoL), yet it is unknown how HRQoL changes during recovery. We compared patient-reported HRQoL among adults with COVID-19-like illness who tested SARS-CoV-2 positive (COVID+) with those who tested negative (COVID-).

METHODS: Participants in this prospective, multicenter, longitudinal registry study were enrolled from December 2020 through August 2022 and completed 3-month follow-up assessments until 12 months after enrollment. Participants were adults (≥18 years) with acute symptoms suggestive of COVID-19 who received a Food and Drug Administration-approved SARS-CoV-2 test. Participants received questions from PROMIS-29 (subscales: physical function, anxiety, depression, fatigue, social participation, …

Table Of Contents

UC Law Journal

No abstract provided.

“As Judged By Themselves”: Freedom, Transformative Experiences, Law, And Testimony, L. A. Paul, Cass R. Sunstein

UC Law Journal

One way to evaluate various legal interventions in people’s lives is to ask whether they make choosers better off by their own lights, or “as judged by themselves.” This criterion can be understood to borrow from the liberal political tradition insofar as it makes the judgments of choosers authoritative. If lawyers, judges, and policymakers give ultimate authority to choosers, this might be taken as respecting choosers’ own judgments and promoting their welfare (insofar as people are uniquely situated to know whether choices make them better off). But for certain decisions, the “as judged by themselves” criterion is indeterminate. In these …

In Place Of Prison, Grace Y. Li

UC Law Journal

A new, previously unstudied institution is addressing felonies, including violent felonies of the highest levels, without imposing incarceration as the sanction. Attempts to abolish prisons, or at least reduce racialized mass incarceration, must consider how to respond to serious and violent crimes. This Article offers an analysis of a real-world, ongoing experiment in doing so.

The Manhattan Felony Alternative-to-Incarceration Court (“ATI Court”) is the first and, thus far, the only court in the country that systematically offers defendants of any demographic and any charge the opportunity to be diverted from the traditional criminal legal system and to avoid prison. Defendants …

The Law Of Killing For Biodiversity, David Takacs

UC Law Journal

In the United States, Australia, New Zealand, and elsewhere, people kill sentient creatures—by the millions every year—in the crusade to conserve biodiversity.

I explain how laws permit, and in some instances require, killing to save nonhuman species and to keep ecosystems functioning. In Australia, the nation with the worst record of mammalian extinctions, the government has tagged various invaders as “Key Threatening Processes.” In 2023, it laid out elaborate plans to rid the nation of as many feral cats as poison and hunters could kill. Similarly, “Predator Free New Zealand 2050” is the New Zealand government’s elaborate plan to trap …

2025 Annual Hackathon Redesigning Safety Fall Protection, Cole Lewis

Construction Management

The Verifying Everyone’s Safety Together (VEST) Hackathon is an annual event organized by construction management and social science students at California Polytechnic State University, San Luis Obispo. Its purpose is to redesign a specific piece of personal protective equipment (PPE) to improve usability, comfort, and inclusivity, with a focus on providing equitable safety for all workers. This hackathon centered on fall protection, specifically safety harnesses, which are essential for protecting workers at height but often lack comfort and user-friendliness. Students, faculty, and industry guests gathered to examine current harness designs and develop practical, worker-informed improvements. The event space was outfitted …

Cal Poly Leaning Pine Arboretum Gazebo, Tyler Higgins

Construction Management

Located on the north end of California Polytechnic State University’s campus, the Leaning Pine Arboretum gazebo stands as a place of gathering, relaxation, and functionality. Taking the place of a smaller existing structure, this project transforms the area, creating new opportunities and laying a foundation for future growth over the coming years. Along the way, several challenges arose, including design complications, permitting issues, and time constraints. Through this process, it became clear that obstacles were inevitable, and overcoming them taught valuable lessons in teamwork, coordination between multiple parties, relationship building, and project management. From September to December 2024, work continued …

El Chorro Park Lumber Rack & Trailhead Kiosk Project, Nolan Christopher Gumm, Marvin Michael Garliepp

Construction Management

The EL Chorro Park Lumber Rack and Kiosk project was a collaboration with San Luis Obispo County Parks and Recreation. Located at El Chorro Regional Park in San Luis Obispo, California, the project involved building a 12-foot-long, 6-foot-wide, and 8-foot-tall lumber rack and reconstructing an outdated trailhead kiosk. The lumber rack addressed the need for organized storage of wood and metal pipes, while the kiosk was rebuilt to better serve park visitors. Recycled sheet metal from the client was used for the roof, and local suppliers were selected to support sustainability efforts. Funded entirely by a government entity, there were …

Designing Augmented Reality (Ar) Simulations For Construction Scheduling Education: A Process-Based Approach, Luke Sutherland

Construction Management

This paper presents the design and implementation of an augmented reality (AR) testing protocol developed to assess construction students' planning, sequencing, and real-time decision-making skills. Using Microsoft HoloLens, the simulation exposed students to realistic jobsite scenarios that required them to interpret plans, develop task sequences, and respond to evolving conditions in the field. The protocol was conducted with over 30 construction management students at California Polytechnic State University, San Luis Obispo, and included three progressively complex scenarios focused on underground utilities, concrete formwork delays, and overhead MEP coordination issues. Data was captured through AR interaction logs, time tracking, instructor observation, …

Why Democracy Has Lost The Trust Of Modern People In The Modern Era, Erica Rubel

University Honors Theses

This thesis examines the growing crisis of democratic legitimacy among young people in the 21st century. Across the United States and globally, young people are increasingly disillusioned with formal democratic systems, not because they are disengaged or apathetic, but because they feel systematically excluded from structures that claim to represent them. Through an interdisciplinary framework rooted in political theory, affect studies, intersectionality, and critical media analysis, this research argues that democratic trust cannot be repaired without emotional truth, structural accountability, and reimagined participation.

Drawing on the work of Lipset (1959), Crenshaw (1989), Cohen (2020), Papacharissi (2015), and Spade (2020), this …

Playing Makes Believing: Narrative Creation In Tabletop Role-Playing Games, Evan Salthouse

University Honors Theses

Tabletop role-playing games (TTRPGs) are a medium of narrative creation that combine collaborative improvisation, dice rolling, and game mechanics to allow players to tell mythical stories of fantasy and adventure. How are TTRPG systems used to create such memorable, evocative narratives? This research paper analyses Dungeons & Dragons (D&D) 5th Edition, examining its multifaceted system of narrative creation and the forces of influence at play, and outlining how narrative emerges from each aspect of the game. It highlights the act of play as the catalyst for these narratives supported by scholarship of role-playing game studies, and suggests future research investigating …

Fear, Trembling, And Wonder: Psalms Of Awe, Solomon Aleph

University Honors Theses

This thesis proposes an expansion of genre form criticism within the Book of Psalms to include an additional category: Psalms of Awe. Building on scholarship that emphasizes the Psalms as expressions of religious experience, it draws from philosophical, theological, and critical scholarship to define the experience of awe as a distinct religious experience not fully captured by form critical scholarship. The thesis argues that awe is reflected in the Psalms through the combination of three key Hebrew roots: ירא (fear/reverence), פחד (fear/dread), and פלא (wonder). This is done by analyzing several psalms to explicate how each term captures a different …

Not Just An Ad: Exploring Exposure, Persuasion Knowledge, And Health Misinformation On Social Media, Danielle Murray

University Honors Theses

This study explores how exposure to sponsored health and fitness content on social media influences users' perceptions of influencer motivation and belief in health-related misinformation. Drawing on parasocial interaction (PSR), attribution theory, and influencer marketing research, this study investigates two hypotheses: that frequent exposure to branded content is positively associated with (1) perceptions of influencers as commercially motivated and (2) belief in pseudoscientific health myths. A cross-sectional online survey (N = 104) was conducted using convenience sampling of adult social media users. Results partially supported the first hypothesis: exposure frequency was positively correlated with recognition of persuasive intent, but …

Identity, Bodies, And Time: Analysis Of Transgender Education Curricula In K Through 12 Grades, Dean Weiler-Zilberman

University Honors Theses

The author analyzes lesson plans that focus on education around gender and transgender subjects--sourced from Sexual Orientation and Gender Institute (SOGI) 123 and Advocates for Youth (AFY)--and puts them in conversation with key literature on transgender education. What surfaces from their interaction are clear strong areas that support transgender education and gaps that fail transgender students.

An Exposition Of "Probabilistic Polynomials And Hamming Nearest Neighbors", Vivek Srirama

University Honors Theses

This paper is an exposition of the paper Probabilistic Polynomials and Hamming Nearest Neighbors by Josh Alman and Ryan Williams. It presents the findings of this paper in a more accessible format for Computer Science students earlier in their career who may not be as familiar with Computational Theory and its concepts as their PhD counterparts are. The paper assumes that the reader has a basic understanding of Algorithms and Complexity, typically obtained in an introductory level Algorithms course.

The paper by Alman and Williams analyzes a specific problem known as the Hamming Nearest Neighbor problem. All known solutions for …

Alloparenting And Male Infant Care Behaviors In Varecia Rubra (Red-Ruffed Lemur), Noelle Wilcox

University Honors Theses

Nonhuman primates are known for their complex social structures that sometimes includes cooperative breeding strategies. In recent years there has been an increase in investigating alloparenting (infant care provided by an adult or subadult that is not a genetic parent) and male infant care, and how such behaviors contribute to the overall assistance to the extreme energetic investment and costs of the mother for the rearing of offspring. There is also debate to how male care has evolved in the primate clade, be it through the theory of kin selection or theory of mutualism. However, there is not enough research …

Time Synchronization For 5g And Tsn Integrated Networking, Zixiao Wang, Zonghui Li, Cheng Long, Yiming Zheng, Bo Ai, Xiaoyu Song

Electrical and Computer Engineering Faculty Publications and Presentations

Emerging industrial applications involving robotic collaborative operations and mobile robots require a more reliable and precise wireless network for deterministic data transmission. To meet this demand, the 3rd Generation Partnership Project (3GPP) is promoting the integration of 5th Generation Mobile Communication Technology (5G) and Time-Sensitive Networking (TSN). Time synchronization is essential for deterministic data transmission. Based on the 3GPP’s vision of the 5G and TSN integrated networking with interoperability, we improve the time synchronization of TSN to conquer the multi-gNB competition, re-transmission, and mobility problems for the integrated 5G time synchronization. We implemented the improvement mechanisms and systematically validated the …

Contract Quality Feature Extraction Using Llm, Aaron C. Washington

Theses and Dissertations

This study explored the potential insights generated from linguistic complexity measurements and large language model (LLM) based assessments on the quality of contract documents. By combining structured True/False prompts with log-probability analysis and ambiguity scoring, the study introduced novel contract-quality assessment methods. Results support a feature-driven approach to contract evaluation, one that offers automated, scalable insights for triaging risk and improving drafting practices. These assessment methods contribute to the growing field of legal natural language processing by offering modular tools for effective contract analysis.

Rotating Scatter Mask System Optimization Study For Determining Optimal Image Recreation, Seth L. Grover

Theses and Dissertations

The Rotating Scatter Mask (RSM) system is a radiation imaging technology currently limited by the mask design and governing identification algorithm parameters. To optimize the RSM design, Dakota—an optimization software—was integrated with a ray tracing code that simulates particle interactions with the RSM detector, and with the Locally Competitive Algorithm (LCA), which reconstructs the source image based on the ray tracing code’s Detector Response Matrix (DRM). Since the original ray tracing code was developed in MATLAB, it was translated into Python to improve compatibility with both Dakota and LCA. The Python version of the ray tracing code was then integrated …

Leveraging Large Language Models (Llms) For Automated Generation Of Sysml V2 State Machines In Guidance, Navigation, And Control (Gnc) Systems, Andrea Louise Ames

Theses and Dissertations

Modern defense systems continue to grow in complexity, placing increasing pressure on engineering workflows to be faster and more adaptable. While Model-Based Systems Engineering (MBSE) with the emerging SysML v2 standard provides a framework for capturing system behavior, its practical use is often limited by the expertise and time required for manual modeling. This research investigates whether large language models (LLMs) can help overcome that barrier by automatically generating SysML v2 state machines from Guidance, Navigation, and Control (GNC) textual inputs. Three LLM Flowise-based models were developed and evaluated: the Structured Transformation Model (STM), which uses a structured extraction and …