Digital Commons Network^™

Book Review: Atlas Of Minerals And Igneous And Metamorphic Rocks In Thin-Section (2025) By Alessandro Da Mommio And Victoria Pease., Kenneth L. Brown

Geology and Environmental Geoscience Faculty Publications

"Optical mineralogy and petrography not only equip us with the skills necessary to address society’s growing need for rock and mineral resources but also awaken a deeper curiosity—inviting us into moments of discovery that change the way we understand these resources. From observing the vibrant and mesmerizing interference colors of a dunite thin section to examining the uniaxial interference figure of calcite, many of us can still recall the first time we peered through the oculars of a polarizing microscope. Atlas of Minerals and Igneous and Metamorphic Rocks in Thin-Section is an exceptional reference textbook, which nurtures that curiosity and …

It's All In The (Exponential) Family: An Equivalence Between Maximum Likelihood Estimation And Control Variates For Sketching Algorithms, Keegan Kang, Kerong Wang, Ding Zhang, Rameshwar Pratap, Bhisham Dev Verma, Benedict Wong

Faculty Conference Papers and Presentations

Maximum likelihood estimators (MLE) and control variate estimators (CVE) have been used in conjunction with known information across sketching algorithms and applications in machine learning. We prove that under certain conditions in an exponential family, an optimal CVE will achieve the same asymptotic variance as the MLE, giving a fixed point algorithm for the MLE. Experiments show the fixed point algorithm is faster and numerically stable compared to other root finding algorithms for the MLE for the bivariate Normal distribution, and we expect this to hold across distributions satisfying these conditions. We show how this algorithm leads to reproducibility for …

Administrative Leadership, Job Resources, And Teacher Burnout In U.S. Middle Schools: A Jd-R Study, Santerous Glenn Colbert

Walden Dissertations and Doctoral Studies

No abstract provided.

Larger Is Not Always Better: Exploring Small Open-Source Language Models In Logging Statement Generation, Renyi Zhong, Yichen Li, Guangba Yu, Wenwei Gu, Jinxi Kuang, Yintong Huo, Michael R. Lyu

Research Collection School Of Computing and Information Systems

Developers use logging statements to create logs that document system behavior and aid in software maintenance. As such, high-quality logging is essential for effective maintenance; however, manual logging often leads to errors and inconsistency. Recent methods emphasize using large language models (LLMs) for automated logging statement generation, but these present privacy and resource issues, hindering their suitability for enterprise use. This paper presents the first large-scale empirical study evaluating small open-source language models (SOLMs) for automated logging statement generation. We evaluate four prominent SOLMs using various prompt strategies and parameter-efficient fine-tuning techniques, such as Low-Rank Adaptation (LoRA) and Retrieval-Augmented Generation …

Activity Transition Graph Generation: How Far Are We?, Jiakun Liu, Peixin Zhang, Han Hu, Yonghui Liu, Wei Minn, Ferdian Thung, Shahar Maoz, Eran Toch, Debin Gao, David Lo

Research Collection School Of Computing and Information Systems

Android applications (i.e., apps) are indispensable nowadays and are getting bigger and bigger with an increasing number offunctionalities. To understand how to access functionalities in an app, prior studies proposed tools to model the transitionsbetween functionalities with the activity transition graph (ATG). ATG is an important data structure and has been used forvarious Android app analyses, including app design, understanding, and testing. However, there is no benchmarking work onATG generation. It is still unclear whether the transitions identified by tools are correct and how many transitions are missed.To fill this gap, we manually identified all transitions in 98 applications to …

Constrained Assortment Optimization Under The Mixed-Logit Model, Hoang Giang Pham, Tien Mai

Research Collection School Of Computing and Information Systems

In this paper, we study the assortment optimization problem under the mixed-logit customer choice model. While assortment optimization has been a central topic in revenue management for decades, the mixed-logit model is widely regarded as one of the most general and flexible frameworks for modeling and predicting customer purchasing behavior. The assortment optimization problem is known to be NP-hard to be approximated to any constant factor, even in the unconstrained case. To address this challenge, we first explore the submodularity properties of a simplified version of the objective function to derive novel semi-constant factor approximation solutions for assortment problems under …

Multimodal Contrastive Spatiotemporal Self-Organizing Neural Networks For In-Home Activity Learning Of Mild Cognitive Impairment, Seng Khoon Teh, Ah-Hwee Tan, Kar Way Tan, Iris Rawtaer

Research Collection School Of Computing and Information Systems

In-home spatiotemporal data, such as the movement trajectory data and the spatial time series data, contains potential predictive utility for detection of geriatric conditions including Mild Cognitive Impairment (MCI), frailty, and cognitive frailty. However, few have explored spatiotemporal learning models for learning and fusion of such disparate spatiotemporal data, owing to the lack of a generalized machine learning model that can jointly model these different spatiotemporal data types. This work reports a multimodal spatiotemporal machine learning model based on a class of self-organizing neural networks that can integrate different spatiotemporal data types for MCI detection. Specifically, Episodic Memory Adaptive Resonance …

Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning, Brahmanage Janaka Chathuranga Thilakarathna, Akshat Kumar

Research Collection School Of Computing and Information Systems

Sequential decision-making using Markov Decision Process underpins many real-world applications. Both model-based and model-free methods have achieved strong results in these settings. However, real-world tasks must balance reward maximization with safety constraints, often conflicting objectives, that can lead to unstable min–max, adversarial optimization. A promising alternative is safety reachability analysis, which precomputes a forward-invariant safe state–action set, ensuring that an agent starting inside this set remains safe indefinitely. Yet, most reachability-based methods address only hard safety constraints, and little work extends reachability to cumulative cost constraints. To address this, first, we define a safety-conditioned reachability set that decouples reward maximization …

Anomaly Management In Unmanned Aerial Vehicles: A Systematic Literature Review, Ivan Tan Wei Han, Christopher M. Poskitt, Lingxiao Jiang, Lwin Khin Shar

Research Collection School Of Computing and Information Systems

Unmanned Aerial Vehicles (UAVs) are increasingly deployed in safety-critical applications such as logistics, surveillance, disaster response, and urban air mobility. While their autonomy enables powerful capabilities, it also introduces vulnerabilities due to hardware faults, software defects, communication failures, and adversarial interference. This survey presents a comprehensive review of research studies closely related to UAV anomalies published between 2015 and 2025, covering 111 papers from academic and industrial sources. We introduce a unified five-pillar taxonomy—anomaly generation, prevention, detection, recovery, and analysis—that organizes existing work across the full anomaly management lifecycle. In contrast to prior surveys that focus primarily on detection algorithms, …

Co-Matching: Towards Human–Model Collaborative Legal Case Matching, Chen Huang, Xinwei Yang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Recent efforts have aimed to improve AI models in legal case matching by integrating legal domain knowledge. However, successful legal case matching requires the tacit knowledge of legal practitioners, which is difficult to verbalize and encode into models. This emphasizes the crucial role of involving legal practitioners in high-stakes legal case matching. To address this, we propose a collaborative matching framework called Co-Matching, which encourages both the model and the legal practitioner to participate in the matching process, integrating tacit knowledge. Unlike existing methods that rely solely on the model, Co-Matching allows both the legal practitioner and the model to …

New Algorithms For Fully-Dynamic K-Center With Outliers, Junyu Huang, Zhize Li, Zhen Zhang, Xujia Li, Jianxin Wang, Qilong Feng

Research Collection School Of Computing and Information Systems

In this paper, we study the fully dynamic k-center with outliers problem, where points are inserted and deleted over time and the goal is to maintain an approximate clustering while discarding up to z outliers. Existing algorithms typically rely on radius guessing to maintain cluster representations, leading to update and query times that depend explicitly on the aspect ratio Δ. We propose a layered-sampling framework that avoids radius guessing by maintaining a hierarchy of sampled structures, which can separate most inliers from potential outliers and refine the remaining uncertain points. The resulting algorithm achieves Õ(k²/ε⁴) update and query time independent …

Myelomalacia Severity On Preoperative Magnetic Resonance Imaging Does Not Predict Patient-Reported Outcomes After Anterior Cervical Discectomy And Fusion, Mitchell K. Ng, Joshua Mathew, Robert J. Oris, Yulia Lee, Jonathan Dalton, Gregorio Baek, Ashley Thommana, William A. Green, Yasmine Eichbaum, Morgan Hitchner, Brandon Martinazzi, Ali Farooqi, Alec Giakas, Paul Gunter, Vinay Bijoor, Andrew Vanchikorn, John J. Mangan, David I. Kaye, Mark F. Kurd, Thomas Cha, Jose A Canseco, Alan S. Hilibrand, Alexander R. Vaccaro, Christopher K. Kepler, Gregory D. Schroeder

Department of Orthopaedic Surgery Faculty Papers

STUDY DESIGN/SETTING: Retrospective cohort study.

BACKGROUND: Signal changes within the spinal cord on magnetic resonance imaging (MRI) or myelomalacia, are frequently seen in patients with cervical myelopathy. While often assumed to predict the outcomes, their prognostic value remains uncertain. Therefore, this study aimed to: (1) describe the clinical characteristics of patients with myelomalacia undergoing Anterior cervical discectomy and fusion (ACDF); (2) evaluate whether MRI findings correlate with patient-reported outcomes (PROMs); and (3) determine whether morphology predict recovery.

METHODS: A retrospective review at a single tertiary care center was performed (2014-2021). Patients were included if they underwent a primary elective ACDF …

An Exploratory Analysis Of Neurocognitive Performance And Posttraumatic Stress Disorder (Ptsd) Among Latinx Asylum Seekers, Elsie A. Arias

Doctoral Dissertations

Asylum seekers are exposed to violence and traumatic events in their home countries at high rates, leading to mental health challenges such as posttraumatic stress disorder (PTSD). PTSD symptoms and comorbidities such as depression and alcohol misuse are associated with impacts to multiple domains of cognitive functioning among populations such as Veterans. However, the neurocognitive performance of Latinx asylum seekers who experience PTSD symptoms are under-documented in the current literature despite its meaningful impact on clinical care engagement and navigation of the legal process. This study utilized an exploratory, quantitative, cross-sectional design to examine whether higher levels of self-reported PTSD, …

State-Mandated Principal Mentoring And Its Relationship To Leadership Efficacy, Working Conditions, And Student Achievement Across Contexts, Ellen Willoughby

Education Theses and Dissertations

Although principal mentoring has been widely studied, far less is known about whether state-level mentoring mandates function as effective policy levers for improving principal or student outcomes. This sequential explanatory mixed-methods study examined the relationship between state mentoring mandates in principal preparation programs and four outcomes: principal leadership efficacy, occupational stress, pay satisfaction, and student achievement. Phase 1 employed multiple linear regression with state-level data from the 2020–2021 National Teacher and Principal Survey (NTPS), 2022 National Assessment of Educational Progress (NAEP), and 2023 Education Commission of the States mentoring mandate classifications. Phase 2 used semi-structured interviews with four practicing principals …

From Crisis To Capability: The Evolution Of Leadership Models And Essential Competencies In The Post-Pandemic Era, Mimi Bekele

School of Education and Leadership Student Capstone Theses and Dissertations

The COVID-19 pandemic created unprecedented challenges for organizations and leaders, requiring rapid responses to uncertainty. This qualitative study examined how leadership models evolved in response to lessons learned during the COVID-19 pandemic and identified the knowledge, skills, and abilities (KSAs) essential for effective leadership in a post-pandemic environment, guided by Heifetz's Adaptive Leadership Theory. Chapter 2 situated the study within four leadership models: situational, skills, transformational, and adaptive. It also examined three pandemic-era drivers of workplace change: the multigenerational workforce, the Great Resignation, and employee mental health. Chapter 3 employed a mixed-methods design consisting of a survey of 43 respondents …

I Didn’T Think Teaching Was For Me: An Autoethnography Of Teaching Other People's Children, Jaquinetta Mitchell

School of Education and Leadership Student Capstone Theses and Dissertations

This autoethnographic study examines how the cooperating teacher-student teacher relationships shapes professional identity, culturally responsive practice, and long-term teaching efficacy, particularly when preparing educators to work with students of color. Drawing on my own reflective narrative as a Black woman who navigated a predominantly White teacher preparation program and entered the profession inadequately prepared to serve diverse students, alongside three rounds of data collected from former student teachers, this study asks: How does the student teaching experience affect teachers’ educational journeys? What support do cooperating teachers need to effectively mentor student teachers working with students of color? How does the …

The Role Of Mindfulness In Building Sustainable Educational Leadership, Joe Mueller

School of Education and Leadership Student Capstone Theses and Dissertations

Educational leaders work in environments characterized by sustained responsibility, complex decision-making, emotional demands, and persistent stress. While these demands are well documented in the current literature, the question of how educational leadership might remain healthy, effective, and sustainable still remains. Mindfulness has emerged as a potential resource for managing and navigating stress across multiple professional fields. Despite a growing interest in mindfulness, little research has directly examined the connection between dispositional mindfulness and perceived stress among practicing educational leaders. The purpose of this study is the examination of that connection among educational leaders in the state of Minnesota. This research …

Sharing The Voices Of Latine Students: Their Experiences Of Community, Belonging And Joy In A Suburban Public High School, Ashley Acosta-Meyers

School of Education and Leadership Student Capstone Theses and Dissertations

This qualitative phenological and ethnographic study explored how seven Latine high school students in a suburban public high school defined and experienced community, belonging, and joy, asking what school spaces, experiences, and practices build or diminish these three concepts. Data was collected through four interview sessions per participant, reflective journaling, and three culturally and linguistically responsive walkthrough observations, and were analyzed through layered linguistic, narrative, and thematic coding. Findings showed that belonging and joy were tied to specific spaces rather than felt evenly across the school day. Institutional fairness shaped belonging as much as any relationship. Latine identity was contested, …

Beyond Casebooks: Law School’S Hidden Curriculum, Nubia Nelly Esparza

School of Education and Leadership Student Capstone Theses and Dissertations

This mixed methods study sought to understand how the hidden curriculum affects first-generation, marginalized, and underrepresented law students and attorneys, what educational and career opportunities they have missed as a result of not knowing these unwritten rules, and what law schools could do to better prepare this population for the realities of legal education and practice. Data were collected through an anonymous online survey and a focus group with first-generation law students and attorneys who have been in the profession for ten years or less. Analysis of the data was mapped against the Conceptual Framework of the Hidden Curriculum in …

Automated Scoring Of Prosody In Oral Reading Fluency: Integrating Acoustic And Sentence/Chunk-Level Silence Features With Machine Learning, Kuo Wang

Education Policy and Leadership Theses and Dissertations

Prosody, the ability to read with appropriate variation in pitch, duration, pausing, and stress, is an important (and challenging to measure) dimension of oral reading fluency (ORF) and comprehension. ORF prosody is currently measured through human raters and rubric-based scoring systems (e.g., the National Assessment of Educational Progress (NAEP) or the Multidimensional Fluency Scale (MDFS scales). The rating process is labor and resource-intensive and introduces rater bias. Recent work has shown acoustic features to predict prosody ratings; however, their models had low generalization performance on cross-domain data (unseen passages and student samples).

The present study investigated the automated assessment of …

Classical Liberalism And Property, Thomas W. Merrill

Faculty Scholarship

Classical liberalism is characterized by several key attributes. Its central normative criterion is the well‑being of the individual, not some aggregate like society or the nation‑state. Individuals are presumptively regarded as responsible actors, capable of judging their own best interests and accountable for their actions that interfere with the well‑being of others. Because individuals are presumptively regarded as responsible actors, there is a strong preference for imposing only minimal obligations on them through the power of the state, and these usually involve general negative duties that are universal in character, chiefly to forbear from using force or fraud to interfere …

Meridian, Rachel Seaton

Theses

Meridian is an ambient tabletop object that translates physiological data into a continuously evolving visual landscape. Rather than presenting emotional information through charts or notifications, it exists as a quiet environmental presence that can be understood through peripheral awareness. A simulated biometric system drives a particle field whose movement reflects physiological variation, producing eight distinct visual signatures. The visual system is governed by four parameters: field density, field disturbance, signal trace, and signal duration, which together shape the behavior and persistence of the particle field. The teardrop form was selected for its ability to convey both the passage of time …

Seabed Wide-Angle Reflection Coefficient And Source Radiation Pattern Measurements From A Low-Frequency Multibeam Sonar, Charles W. Holland, Cody R. Henderson, Tim Sonnemann, Bjørnar Langli, Daniel L. Orange

Electrical and Computer Engineering Faculty Publications and Presentations

In acoustic remote sensing, the seabed frequency-domain reflection coefficient contains significant geoacoustic information, namely the depth and frequency dependence of sediment sound speed, density, and attenuation. Typical reflection measurements are performed with a towed source and/or receivers to obtain a range of seabed reflected angles. It is shown here that the measurements can be performed using a hull-mounted low-frequency multibeam sonar with an offboard fixed or drifting hydrophone. To obtain the reflection coefficient (as well as scattering strength and other quantities of potential interest), the multibeam sonar radiation pattern must be known. Radiation patterns and absolute levels of the Kongsberg …

A Proposed Typology Of Nos Empirical Research: Trends And Implications, Maryam Saberi, Noushin Nouri, William F. Mccomas

Teaching and Learning Faculty Publications

Nature of Science (NOS) is a vital school subject with extensive publication record including results from many empirical investigations. This project examined the range, nature, and trends in empirical NOS studies from six major science education research journals over a recent 25-year period with additional recent data. Using systematic literature review techniques (SLR) and subsequent qualitative methods, we developed a comprehensive typology of empirical NOS articles. Ten categories emerged: Teaching NOS to students; Teaching NOS to teachers; Teachers’ NOS classroom practices and knowledge transfer; NOS assessment development and application; Analyses of textbooks and science curricula; Relationships between NOS knowledge and …

Draft Final 2023 Insufficiently Reclaimed Sites Sampling: Bres No. 93 – Soudan Dump Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Regulatory Costs Of Wine Production In Napa County, Lynn Hamilton, Michael Mccullough

Agribusiness

Unlike other food products, commercial alcoholic beverage production has been subject to federal regulation and taxation since the founding of the United States, with specific wine taxes being levied during the wartime Emergency Revenue Act of 1914 (Cilluffo and Gravelle, 2024). Since then, taxation and regulations have expanded, with many new laws originating at the state level. Additional regulatory costs, combined with the current decline in consumer demand raise questions regarding the long-term viability of California wine production. Napa County Farm Bureau contacted Cal Poly to assess baseline conditions in the industry by conducting a case study of regulations accruing …

Summer Proceedings 2026, Computational Modeling Serving Portland, The Altreu Program, Portland State University, Teuscher Lab, Portland State University

altREU Projects

The 2026 Summer Proceedings bring together research conducted by undergraduate students participating in three complementary programs at Portland State University: the National Science Foundation Research Experiences for Undergraduates (NSF REU) site, Computational Modeling Serving Portland; the alternative Research Experiences for Undergraduates (altREU) program, Designing, Programming, and Using Computers to Benefit Society; and the Teuscher Lab internship program.

The NSF REU is a fully virtual, 10-week program centered on computational modeling that serves Portland and the greater region. Students begin with two weeks of intensive training in computational modeling, followed by eightweeks of mentored research with faculty, research collaborators, and community …

Aric K. Short, Aric K. Short

Faculty CVs

No abstract provided.

Joan Stringfellow, Joan Stringfellow

Faculty CVs

No abstract provided.

Investigating Culicoides Diversity, Distribution, And Behavior In Arkansas, Cassandra Steele

Graduate Theses and Dissertations

Culicoides biting midges (Diptera: Ceratopogonidae) are globally important vectors of pathogens affecting livestock and wildlife. In the United States (US), transmission of bluetongue virus (BTV), epizootic hemorrhagic disease virus (EHDV), and vesicular stomatitis virus (VSV) results in economic losses and periodic mortality events of wild and domestic ruminants. Culicoides sonorensis is the confirmed vector of BTV and EHDV in the western regions of the US, however this species is uncommon throughout much of the eastern and southeastern US, where hemorrhagic diseases remain endemic. There are likely other putative vector species responsible for pathogen transmission. This research investigated Culicoides diversity, distribution, …