Digital Commons Network^™

Advancing Ethical Innovation In Human–Ai Collaboration: Trust And Legitimacy In Technology-Mediated Teams, Sanket Ramchandra Patole

Human Resource Development Theses and Dissertations

Human Resource Development (HRD) confronts a central paradox in the digital age. The technologies designed to broaden access to learning and collaboration often reproduce the same social hierarchies that HRD seeks to challenge. Artificial intelligence (AI), digital collaboration platforms, and algorithmic management are widespread features of organizational life. Yet these systems do not generate inclusive outcomes for all workers. Women of Color (WoC), situated at the intersection of racialized, gendered, and technological structures, experience digital transformation as both possibility and constraint. They encounter opaque decision systems, diminished authority in virtual teams, and digitally-mediated microaggressions, while also developing new capacities for …

Ordered Mini-Batch Training For Differentially Private And Encrypted Logistic Regression, Ryan Leone

Theses, Dissertations and Culminating Projects

Logistic regression has found extensive use as a supervised machine learning algorithm due to its simplicity and efficiency in binary and multivariate classification tasks. As data sharing grows across connected devices, safeguarding sensitive personal and industrial information is of increased importance. Privacy-preserving machine learning techniques such as differential privacy and homomorphic encryption offer mathematically rigorous security guarantees, but introduce difficult accuracy, privacy loss, and computational overhead issues. This thesis investigates PPML for logistic regression through a collaborative mini-batch training framework. I propose and implement an ordered mini-batch strategy, compare it to standard shuffled methods, then integrate differential privacy noise injection …

Examining The Enactment Of Teacher Leadership Through Self-Created Social Network Maps, Shanna Dawn Anderson

Theses, Dissertations and Culminating Projects

Much of a teacher’s work is unseen. It extends beyond classroom instruction and into collaborative, relational work that positions teachers as essential actors in educational change. Yet this work occurs within a neoliberal education system that intensifies accountability, erodes professional autonomy, and reinforces hierarchical, patriarchal models of authority. Although schools depend on teachers’ expertise, these structures constrain opportunities for collaborative professionalism and relational forms of leading and learning. This study pushed back on the neoliberal agenda and examined the phenomenon of teacher leadership. Using descriptive and interpretive phenomenology, I analyzed self-created social network maps and narrative data to understand how …

Smokejumper Magazine, January 2026, National Smokejumper Association

Smokejumper and Static Line Magazines

This issue of the National Smokejumper Association (NSA) Smokejumper Magazine, contains the following articles:

Message from the President; Smokejumpers in Indochina; Visionary in Aisle Three!; 2025 NSA Scholarship and Education/Training Grant Awardees; The Greatest Generation; You can Get Great Firefighters; You Just Have to Work for It; Bagger Crew; The OC Fire Program: A Fire Path to Life; The Summer My Life Changed; Only In Alaska; Burned Out: It Doesn't Have to Be This Way; Jumpin' at 300 Feet; 56 Years Later; Round vs. Square; Featured Member: Ken Herrick; Notes From the Ranks; Thoroughly Modern McCall; Sounding Off; Odds and …

Dental Board Of California, William Truong, Katie Gonzalez, Marcus Friedman

California Regulatory Law Reporter

No abstract provided.

Designing A Two-Semester Undergraduate Data Science Sequence For Computer Science, Mathematics, And Actuarial Science Majors, A. Jayawardhana

Posters

The proposed two-semester sequence is designed to provide students with a rigorous foundation in statistical thinking, computational modeling, and modern machine learning. The curriculum integrates probability, inference, optimization, and algorithmic learning into a coherent framework for data-driven decision-making. The sequence progresses from statistical foundations to computational machine learning systems, emphasizing both theory and implementation.

Wild Rice Life Cycle: An Integrated Science, Social Studies, And Ela Lesson, Rhett Zima, Lily Deming

OER Materials

This lesson is designed to deepen students’ understanding of wild rice, a plant native to Minnesota, by integrating life science concepts such as structure, function, life cycles, and seed dispersal with prior knowledge from English Language Arts and Social Studies. Using the 5E instructional model (Engage, Explore, Explain, Elaborate, and Evaluate), students participate in a structured, inquiry-based learning experience. They begin by connecting to prior knowledge and generating questions, then investigating the life cycle and growth patterns of wild rice through hands-on exploration. As students build their understanding, they analyze how the plant’s seed dispersal supports its survival and reproduction. …

Beyond Permissions: A Privacy And Security Analysis Of Sensor And Network Activity On Xr Devices Using Xrmonitor, Gayatri Sravya Siripurapu

Computer Science and Engineering Theses - Archive

Standalone virtual reality headsets integrate multiple sensors and cameras whose runtime behavior is not transparently documented, creating potential privacy and security risks that are difficult to audit using existing tools. The relationship between software feature activation and the underlying hardware engaged at runtime remains opaque, limiting the ability of users and researchers to assess what data is being collected and when.

This thesis presents XRMonitor, a unified framework for monitoring and analyzing sensor activation behavior and network traffic on Meta Quest devices. The framework is motivated by the lack of transparency in how standalone XR devices engage their hardware sensors …

The Functional Significance Of Plk1 Phosphorylation Of Nrf2 In Prostate Cancer Progression, Maria Nur

Theses and Dissertations--Toxicology and Cancer Biology

Prostate cancer progression and therapeutic resistance are closely linked to alterations in redox homeostasis and cell cycle regulation. Nuclear factor erythroid 2–related factor 2 (NRF2) is a master regulator of antioxidant responses, yet the mechanisms integrating cell cycle signaling with NRF2 activity in prostate cancer remain poorly defined. In this study, we identify polo‑like kinase 1 (PLK1) as a novel regulator of NRF2 through direct phosphorylation at serine 253 (S253). Using bioinformatic prediction, mass spectrometry, in vitro kinase assays, and cell‑based analyses, we demonstrate that PLK1 phosphorylates NRF2 at S253 in a cell cycle–dependent manner, with maximal phosphorylation during mitosis. …

Masthead And Table Of Contents, Vol. 26 No. 2, Wyoming Law Review Editorial Board

Wyoming Law Review

No abstract provided.

Annotated Bibliography For The Sam Zell Automata Collection, 1994-2015, University Of Michigan Law School

Automata Files

The sources included in this annotated bibliography support the Finding Aid to the Sam Zell Automata Collection.

Causes And Best Practices To Minimize Disciplinary Referrals For Minor Behavioral Issues In General Education Classrooms With Special Education Populations, Beth Moran

All Electronic Theses and Dissertations

An increasing number of setting one and setting two special education students with disruptive behaviors are being integrated into general education classrooms in the elementary grades. When these students are referred to formal disciplinary processes by general education teachers for minor behavioral issues, they lose classroom time. Collecting data to identify the causes of minor behavioral issues can inform decisions about the distribution of special education students in general education classrooms and the selection of appropriate classroom management strategies by grade level. Identifying and selecting best practices to minimize behavioral issues within settings one and two for special education students …

Artificial Intelligence Adoption In The Workplace. An Exploration Of Augmentation, Oyinkansola O. Sodiya

Management Dissertations

As collaborative work with artificial intelligence (AI augmentation) gains interest, it is crucial to investigate factors that affect how employees perceive and use AI tools at work. Drawing on task-technology fit and technology adoption theories, this dissertation examines the ways in which task dimensions, organizational contexts, and individual differences affect the perceived usefulness of working with AI tools. This dissertation demonstrates that task-technology fit is fundamental. Employees in jobs with high information processing demands are likely to positively perceive the usefulness of AI augmentation relative to employees in jobs with high interpersonal demands. Employees with more proactive personalities perceive greater …

Toward Interpretable Multi-Omics Multimodal Biomedical Artificial Intelligence, Yanjun Lyu

Computer Science and Engineering Dissertations

The complexity of human disease arises from biological processes that unfold across multiple scales, from molecular variation through cellular function, tissue organisation, brain phenotypes, each of which is associated with distinct measurement modalities, regularities, and characteristic. Contemporary biomedical artificial intelligence has brought the opportunity to reveal the complexity with in; however, its methodological default, in which models are trained on most readily available modality, does not adequately engage with the multi-scale connected structure by which biological meaning is constituted. The research area of multi-omics and multi-modal AI for biomedicine remains at an early exploratory stage, and the work presented in …

Pre-Training And Interpretability In Deep Learning Models, Weizhi An

Computer Science and Engineering Dissertations

In the evolving field of artificial intelligence, the efficacy of deep learning models is often gated by the quality of their training and the clarity of their decision-making processes. This dissertation addresses these crucial challenges by focusing on two key areas: enhancing pre-training strategies and improving model interpretability. Our approach is twofold, integrating novel pre-training methodologies that embed domain-specific knowledge early in the model training process, and developing advanced techniques for disentangling and clarifying the decision-making mechanisms within these models. The first direction of our research employs MoDNA, a motif-oriented pre-training framework specifically designed for DNA language models. By leveraging …

Uncertainty Quantification, Propagation & Conjunction Assessment In Orbital Mechanics Using Generalized Polynomial Chaos Expansion & 2-Dimensional Conjunction Plane Analysis Techniques, Monalisa Karim

Mechanical and Aerospace Engineering Theses

Uncertainties, that are inherent to dynamic models, can be associated with state initial conditions, force modelling errors, navigation and actuation errors. In system modelling stochastic differential equations are used to represent dynamic phenomena with uncertainties, for which the solutions are probability density functions of quantities of interest characterizing the realization of the stochastic processes. In Polynomial Chaos Expansion (PCE) propagation, these solutions are represented as weighted sums of multivariate spectral polynomials that are functions of the input random variables. Generalized polynomial chaos expansion (gPC) is an extension to the original homogenous PCE which projects the random solution onto a basis …

Spatial Clustering And Determinants Of Dengue Incidence Among The Young Population Of Northern Thailand During The Covid-19 Pandemic, Sopida Supotina, Kasama Pooseesod, Tassanee Silawan, Nattapong Puttanapong, Sayambhu Saita

NAKHARA (Journal of Environmental Design and Planning)

Dengue infection remains a significant public health concern in Thailand, particularly among young populations. The emergence of COVID-19 introduced additional complexity to disease surveillance and control efforts. This study aimed to determine the spatial clustering and determinants of dengue incidence among individuals under 25 years of age in Northern Thailand during the COVID-19 pandemic. Ecological analysis was conducted across 103 districts in eight northern provinces. District-level dengue incidence rates of individuals under 25 years of age for 2021 were calculated and analyzed using global Moran’s I and local indicators of spatial association (LISA) to detect spatial clustering. Bivariate LISA was …

Localized Ks Assessment For Bioretention In Thailand : Improving Swmm Accuracy, Chulalux Wanitchayapaisit, Damrongsak Rinchumphu, Prattakorn Sittisom, Thidarat Kridakorn Na Ayutthaya, Chana Sinsabvarodom, Oleg Gorbunov, Sitthikorn Sitthikankun

NAKHARA (Journal of Environmental Design and Planning)

Urbanization in Thailand has significantly reduced natural infiltration surfaces, intensified stormwater runoff, and increased the demand for effective urban drainage solutions. Bioretention systems, guided by water-sensitive urban design (WSUD) principles, offer a promising approach for enhancing infiltration and mitigating urban flooding. However, the effectiveness of bioretention depends critically on the accurate estimation of saturated hydraulic conductivity (Ks), a key input parameter in hydrological models such as the Storm Water Management Model (SWMM). Despite international guidelines, local Ks values for tropical soils and vegetation remain scarce, limiting model reliability. This study aims to determine its suitability as a filter media layer …

Flow Injection Determination Of Fluoride For Total Organic Fluorine Analysis, Memona Zulafiqar

Chemistry & Biochemistry Theses

Poly- and perfluoroalkyl substances (PFAS) are anthropogenic chemicals that have gained increasing attention due to their association with a wide range of adverse health effects. These compounds are highly diverse, with approximately 15,000 PFAS reported. Their exceptional environmental stability and strong tendency to bioaccumulate result in environmentally relevant concentrations that typically occur at very low levels, often in the ng L⁻¹ range. This chemical diversity presents a major analytical challenge, as reference standards are available for only a limited number of PFAS. Consequently, conventional targeted analytical methods frequently quantify less than 1% of the total PFAS present, leading to a …

How Social Media And Cyberbullying Correlate To Eating Disorders In Adolescents, Nicoli A. Panelo

Nursing | Senior Theses

Background: Social media is very prevalent in today’s society, particularly in adolescents. This time period is crucial for this age group in terms of developing a sense of purpose and identity. Although social media may keep many of our children entertained, they also can create negative impacts on them and ultimately hinder their overall development both mentally and physically through negative body image and unrealistic self-expectations. Purpose: The purpose of this study is to find the correlation between social media use and the rise of eating disorders in adolescents. Doing so would allow us to find ways to lower the …

Blister Packaging Versus Bottles: Caregiver Accuracy And Child Safety In Pediatric Medication Gummy Administration, Paolo Olimpiada

Nursing | Senior Theses

The safety of medication in pediatric settings has become an increasing concern as gummy-formulated medications have gained popularity in children’s care. Gummy-formulated medications have a close resemblance to candy, and this may mislead children to ingest additional doses or more than what was prescribed. Children also depend a lot on their caregivers for medications. Therefore, the design of packaging would be impactful in supporting medication dosing accuracy. And studies have evaluated safety features of packaging related to adherence, misuse, and unintended administration. However, limited studies have examined the influence of medication packaging on the dosing accuracy at the time of …

Betrothed To Jesus: Embracing Uncertainty As The Key To A Lasting Romance, Kyle H. Chase

Doctor of Ministry

NPO:

Churches are not giving college students the tools they need to navigate uncertainty with Jesus.

Key Insights:

For college students who decide to follow Jesus, the experience of uncertainty after college can result in a deconstruction of faith. Church leaders often respond by equipping students with tools aimed at eradicating uncertainty (biblical and cultural apologetics, catechisms, formulaic practices, etc.). The solution is more elegant: If students are to remain adaptable and resilient for a lifetime, they do not need to eradicate uncertainty but to embrace it—not as an occasion for explanation but as an opportunity to encounter the living …

Ai-Powered Lawyering: Ai Reasoning Models, Retrieval Augmented Generation, And The Future Of Legal Practice, Daniel Benjamin Schwarcz, Sam Manning, J.J. Prescott, Patrick Barry, David R. Cleveland, Beverly Rich

Articles

Generative AI is set to transform the legal profession, though its most promising uses and ultimate effects are still unclear. While AI models like GPT-4 improve efficiency, they can also “hallucinate” and may undermine legal judgment, particularly in complex tasks typically handled by skilled lawyers. This article examines two emerging AI innovations that may mitigate these concerns: Retrieval Augmented Generation (RAG), which grounds AI-powered analysis in legal sources, and AI reasoning models, which structure complex reasoning before generating output. We conduct the first randomized controlled trial assessing these technologies, assigning upper-level law students to complete legal tasks using a RAG-powered …

Grading Machines: Can Ai Exam-Grading Replace Law Professors?, Kevin L. Cope, Jens Frankenreiter, Scott Hirst, Eric A. Posner, Daniel Schwarcz, Dane Thorley

Articles

In the past few years, large language models (LLMs) have achieved significant technical advances, enabling legal-advocacy organizations to adopt them as complements to—or substitutes for—lawyers and other human experts. The role of LLMs in legal education, however, is underexplored. While several studies have examined LLMs’ performance in taking law school exams, finding mixed results, there have been no published studies systematically analyzing LLMs’ competence at one of law professors’ chief responsibilities: grading law school exams. This paper presents results of an analysis of how LLMs perform in evaluating student responses to legal analysis questions of the kind typically contained in …

Assessing Interdisciplinary Learning And Knowledge: A State-Of-The-Art Review And Heuristic, Kacey Beddoes, Kristi Bartlett

Product Design Faculty Publications

Background – The need for interdisciplinary training is increasingly important, but assessing the effects of interdisciplinary education initiatives remains challenging. One of the leading difficulties is identifying and selecting the best instrument or technique for a given purpose.

Purpose -- To help researchers and educators identify available options and determine the best options for their purposes, we conducted a literature review and created a heuristic table of available techniques. Our review addresses the questions: 1) What domain-general techniques and instruments exist for assessing interdisciplinary learning or knowledge? 2) What research scenarios, populations, and questions are each technique or instrument most …

The Transport Of New Make Spirits Through American White Oak, Taylor E. Scott, Jarrad Gollihue, Michael P. Sama, Michael Shaffer, Brad J. Berron

Biosystems and Agricultural Engineering Faculty Publications

Why was the work done: The reduction of maturation loss is a significant opportunity for increased revenue in aged spirits and varies through several factors. This work aims to better understand maturation loss by isolating and measuring spirit flow through wood.

How was the work done: Bourbon stave disks were fabricated by computer numeric control milling and loaded into a sealed module consisting of flanges holding the stave disk over a liquid filled pipe. The modules were filled with new make spirit at 50, 62.5 or 70% ABV, with either liquid or vapour contact with the stave disk. Further, the …

Modeling Determinants Of Significant Noncompliance In The U.S. Mining Sector: A Fixed Effects Logistic Regression Approach, Eli Johnson

Dissertations, Master's Theses and Master's Reports

This study examines environmental compliance behavior among mining facilities regulated under the U.S. Clean Water Act (CWA). Using a national quarterly panel of National Pollutant Discharge Elimination System (NPDES)-permitted mining facilities, the analysis evaluates whether local socioeconomic and demographic indicators are associated with the likelihood that a facility enters significant noncompliance (SNC) status. Facility compliance histories are compiled from the U.S. Environmental Protection Agency’s Enforcement and Compliance History Online (ECHO) database and is merged with county- and state-level socioeconomic indicators and election data. A fixed-effects logistic regression model is used to account for time-invariant facility heterogeneity. The results suggest that …

Expanding The Good Samaritan Program: Cleaning Up The Colorado River, One Mine At A Time, Jordan Carlson

Wyoming Law Review

The headwaters of the Colorado River Basin supply nearly 90% of the river’s flow and are among the most hydrologically sensitive areas in the U.S. During the nineteenth and early twentieth centuries, westward expansion and the allure of gold and other valuable minerals drove thousands of miners into the basin. When the mining boom ended, the mines were left behind. Today, thousands of abandoned hardrock mine sites continue to leach acidity and heavy metals into streams, leaving a lasting impact on water quality. For decades, strict environmental liability laws made cleanup nearly impossible, creating a chilling effect that discouraged even …

Full Issue, Wyoming Law Review Editorial Board

Wyoming Law Review

No abstract provided.

Adaptive Control For A Robotic Bipedal Device Using A Hybrid Discrete-Continuous Reinforcement Learning Strategy, Karla Rincon-Martinez, Wen Yu, Isaac Chairez

Mathematics Faculty Publications

This research develops and implements a novel reinforcement learning (RL) architecture to address the trajectory-tracking problem in bipedal robotic systems under articulated-joint constraints. The proposed RL framework extends previously designed adaptive controllers characterized by state-dependent gain structures. The learning mechanism comprises two hierarchical adaptation layers: the first employs an adaptive dynamic programming (ADP) formulation to approximate the Bellman value function using a class of continuous-time dynamic neural networks. In contrast, the second uses an iterative optimization scheme based on the deep deterministic policy gradient (DDPG) algorithm. The resulting control strategy minimizes a robust performance index defined over the tracking trajectories …