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History Of The College Of The Holy Cross Naval Rotc Unit, O'Callahan Society, College Of The Holy Cross

85th Anniversary of NROTC at Holy Cross

The Holy Cross Naval Reserve Officer Training Corps (NROTC) Unit reached its 85th anniversary in July 2026 and, to commemorate this event, the Holy Cross O’Callahan Society has updated the history of the Unit that was prepared for the Unit’s 75th anniversary and now revised twice. The O’Callahan Society grew out of the vision of Reverend John E. Brooks, S. J., President of the College of the Holy Cross 1970-94, who invited several graduates of the NROTC Unit to meet in the early 1990s and discuss how NROTC alumni could support the NROTC Unit. From these discussions, the O’Callahan Committee …

Assessment Of Information Literacy Instruction In Reference: Applying Vanscoy’S Conceptual And Procedural Framework In Practice, Vanessa Arce

Publications and Research

The instructional aspect of reference work has long been acknowledged, especially in academic libraries. The current RUSA guidelines include helping users develop information literacy as a goal of reference. In this context, investigating the presence and nature of information literacy instruction can be used to assess the quality of reference services. This study applied Amy VanScoy’s conceptual/procedural framework for point-of-need instruction to a sample of chat reference transcripts at Lehman College, City University of New York. One of the assessment’s goals was to determine the prevalence of instruction and type of knowledge addressed in reference interactions. Another goal was to …

Elemental Analysis Of Upper Devonian To Lower Mississippian Organic-Rich Mudstone Cores From Kentucky By Portable X-Ray Fluorescence (Pxrf), Alex M. Washburn

KGS Research Data Set

This dataset contains high-density portable X-ray fluorescence (pXRF) elemental analyses of 1,867 m (6,125 ft) of Upper Devonian to Lower Mississippian organic-rich mudstone cores from Kentucky. Analyses were collected from cores across the Illinois Basin, Cincinnati Arch, and Appalachian Basin to support regional evaluation of elemental variability, chemostratigraphy, and redox-sensitive trace-metal enrichment in Devonian–Mississippian mudstone successions. All measurements were conducted using a Bruker Tracer 5 pXRF analyzer with the factory “Mudrock Air” calibration, using analytical settings optimized for both low-atomic-number elements and transition metals/redox-sensitive trace elements. Reference materials SARM-41 and SGR-1 were analyzed throughout the analytical sequence to monitor instrument …

The Interwoven Dynamics Of Climate, Fire, Resilience And Orangutan Survival In Central Kalimantan’S Peat Swamp Forest, Putu Pujiantari

Graduate Theses and Dissertations

Tropical peat swamp forests are globally significant carbon reservoirs and biodiversity strongholds, yet they face escalating threats from climate change, fire, and anthropogenic disturbances. This dissertation investigates the interwoven dynamics of climate, fire, forest resilience, and orangutan survival in Central Kalimantan, Indonesia, a region which was transformed by the failed Mega Rice Project and recurrent catastrophic wildfires for decades. Using a multi-scale approach that integrates remote sensing time-series analysis (2001–2024),nlandscape-scale disturbance mapping (2005–2025), and fine-scale movement ecology, this research tests three core hypotheses: (1) moisture availability is the dominant climatic driver of wildfire activity, operating through non-linear thresholds; (2) post-fire …

Synoptic Conditions Favoring Tropical Cyclone-Enhanced Southwest Monsoon High Precipitation Events In The Philippines, Alwin Andriel L. Bathan, Lyndon Mark P. Olaguera, Faye Abigail T. Cruz, Jose Ramon T. Villarin, John A. Manalo, Jun Matsumoto

SOSE Affiliate: Manila Observatory

The interaction of tropical cyclones (TCs) with the southwest monsoon frequently causes heavy precipitation events (HPEs) and widespread flooding across the Philippines. Despite their substantial socio-economic impacts, the synoptic conditions that favor these events remain insufficiently understood, underscoring the need for systematic investigation to help improve forecasting and risk assessment. Lag composite analysis of daily rainfall records and reanalysis data from July to September for the period 1981–2023 shows that HPEs are more likely to occur when: (1) enhanced monsoon westerlies are present over the tropical Indian Ocean for at least nine days before the HPE, (2) a TC passes …

In Vivo Evidence Of Blood Flow Slippage: Failure Of The No-Slip Boundary Condition Assumption, Alena Jarolímová, Jaroslav Hron, Karel Tůma, Radomír Chabiniok, Josef Málek, Keshava Rajagopal

Division of Cardiology Faculty Papers

The assumption that blood adheres to vessel walls with zero tangential velocity component, the so-called "no-slip" boundary condition, is a foundational premise of cardiovascular fluid dynamics. Whether the no-slip condition holds in vivo, however, remains unknown. Seven healthy adult volunteers underwent cardiovascular magnetic resonance imaging. With four-dimensional flow magnetic resonance imaging of the descending thoracic aorta and modeling blood as a Navier-Stokes fluid, near-wall blood velocities were quantified, and wall shear stress was calculated based on the measured velocity fields. Within the Navier-Stokes data assimilation framework, tangential wall velocities of ∼30-80% of the mean luminal velocity were consistently obtained. These …

An Evaluation Of Plc Implementation, Teacher Perceptions, And Achievement And Growth In A Rural Elementary School, Barbara B. Hines

Education Theses and Dissertations

Student growth in reading and mathematics has declined steadily at a small rural elementary campus in East Texas, particularly in grades 4 and 5, even as achievement scores have remained near state averages for grades 3 through 5. This gap between proficiency and progress, compounded by the expiration of pandemic relief funding and increasing state accountability pressure, created an urgent need to evaluate whether existing campus structures were functioning as intended. The purpose of this study, which used an explanatory sequential mixed-methods design, was to examine how variation in professional learning community (PLC) implementation was associated with differences in student …

Improving The Implementation Of Response To Intervention Through Structured Professional Learning Communitiies, Amanda Southerland

Education Theses and Dissertations

This Improvement Science Dissertation in Practice examined how the current Response to Intervention (RTI) framework supported math achievement for fifth-and-sixth grade students at a rural intermediate campus in Northeast Texas. Although Tier 1 and Tier 2 supports were in place, many students continued to struggle to demonstrate meaningful growth in mathematics. The purpose of this study was to evaluate the current RTI framework, identify barriers affecting its implementation, and implement an improvement strategy based on the findings. A mixed-methods approach was used to analyze district benchmark and STAAR data, teacher surveys, and focus group interviews. Findings from the evaluation identified …

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 …

Mechanistic And Spatio-Temporal Modelling Of Cassava Whitefly (Bemisia Tabaci) Risk Under Climate Change: Projections For Africa With Case Evidence From Malawi, Lumbani Benedicto Banda, Frank Thomas Ndjomatchoua, Ritter A. Guimapi, Komi Mensah Agboka, Abdelmutalab G.A. Azrag, Wezi G. Mhango, Trust Kasambala Donga, Chikondi Makwiza, Karl H. Thunes, Elfatih M. Abdel-Rahman

All Peer-Reviewed Publications

The cassava whitefly (Bemisia tabaci) greatly constrains cassava production across Africa due to its role as a vector of viral diseases that cause substantial yield losses. Effective management of this insect pest requires detailed knowledge of its spatio-temporal distribution, however long-term datasets are scarce. Mechanistic models circumvent these long-term data needs by modelling temperature-dependent processes that govern population dynamics. Nevertheless, their application to B. tabaci remains poorly explored. Here, we developed a mechanistic model to derive a risk index (RI) for B. tabaci across Africa, focusing on Malawi. The model integrates the effects of temperature on the life stages of …

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 …

Configuring Agentic Ai Coding Tools: An Exploratory Study, Matthias Galster, Seyedmoein Mohsenimofidi, Jai Lal Lulla, Muhammad Auwal Abubakar, Christoph Treude, Sebastian Baltes

Research Collection School Of Computing and Information Systems

Agentic AI coding tools increasingly automate software development tasks. Developers can configure these tools through versioned repository-level artifacts such as Markdown and JSON files. We present a systematic analysis of configuration mechanisms for agentic AI coding tools, covering Claude Code, GitHub Copilot, Cursor, Gemini, and Codex. We identify eight configuration mechanisms spanning from static context to executable and external integrations and, in an empirical study of 2,853 GitHub repositories, examine whether and how they are adopted, with a detailed analysis of Context Files, Skills, and Subagents. First, Context Files dominate the configuration landscape and are often the sole mechanism in …

Air: Improving Agent Safety Through Incident Response, Zibo Xiao, Jun Sun, Junjie Chen

Research Collection School Of Computing and Information Systems

Large Language Model (LLM) agents are increasingly deployed in practice across a wide range of autonomous applications. Yet current safety mechanisms for LLM agents focus almost exclusively on preventing failures in advance, providing limited capabilities for responding to, containing, or recovering from incidents after they inevitably arise. In this work, we introduce AIR, the first incident response framework for LLM agent systems. AIR defines a domain-specific language for managing the incident response lifecycle autonomously in LLM agent systems, and integrates it into the agent's execution loop to (1) detect incidents via semantic checks grounded in the current environment state and …

Strategies For Classroom Teachers Using Generative Artificial Intelligence, Hoang-Kim Nguyen

School of Education and Leadership Student Capstone Theses and Dissertations

This study investigated strategies for classroom teachers using generative artificial intelligence (Gen AI), the challenges high school teachers face when integrating Gen AI tools into the classroom, and how teachers address these challenges. Using a qualitative approach, the study surveyed 26 teachers and conducted five interviews with teachers in two suburban school districts. The results indicated that there are leadership and professional development gaps in Gen AI in high schools. The findings suggested that districts need to provide professional development and leadership on Gen AI to help teachers integrate it into the classroom and prepare students for the Gen AI …

The Standardization Of Teaching: Minnesota Elementary Teacher Perceptions Of Academic Standards In 21st-Century Classrooms, Katie Rotvold

School of Education and Leadership Student Capstone Theses and Dissertations

This sequential explanatory mixed methods study examined how Minnesota elementary teachers’ perceptions of academic standards and assessment influence their instructional practices in the context of 21st-century classrooms. Guided by Ajzen’s (1991) Theory of Planned Behavior, the study explored teachers’ attitudes, subjective norms, and perceived behavioral control related to implementing academic standards. Quantitative data were collected through an online questionnaire completed by 221 Minnesota elementary teachers, followed by qualitative analysis of open-ended survey responses and semi-structured interviews with four teachers. Results indicated that teachers generally held positive attitudes toward academic standards, perceived strong expectations from administrators and state policymakers to implement …

What Leadership And Operational Strategies Should Twin Cities Black-Led Charter Schools Have To Promote School Improvement, Enhance Student Achievement, And Ensure Sustained Organizational Success?, Donald W-R. Allen, Ii

School of Education and Leadership Student Capstone Theses and Dissertations

Allen, D. (2026). What Leadership and Operational Strategies should Twin Cities Black-led Charter Schools have to Promote School Improvement, Enhance Student Achievement, and Ensure Sustained Organizational Success?  

This dissertation examined my story along with the leadership and operational strategies employed by Twin Cities Black-led charter schools to support school improvement, enhance student achievement, and sustain long-term organizational success. Black-led charter schools emerged as community-centered educational alternatives designed to provide culturally responsive learning environments for Black students and families while addressing persistent educational inequities. Despite their important role within Minnesota's educational landscape, limited empirical research has examined the organizational conditions that …

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 …

Multi-Parametric Nonlinear Programming For Lossy Lmp Sensitivity Analysis Using Outer Progressive Cuts, Yuhan Huang, Tao Ding, Chenggang Mu, Rui Bo, Pengwei Du

Electrical and Computer Engineering Faculty Research & Creative Works

Accurate sensitivity analysis of locational marginal price (LMP) is crucial for risk hedging and market management. This paper proposes multiparametric nonlinear programming for sensitivity analysis of LMP with nonlinear network loss, also known as lossy LMP. Global analytical solutions for lossy LMP and the corresponding critical regions are derived. An outer progressive cut algorithm is developed to constrain the network loss error within a specific range for the whole parametric domain. Case studies show the improved accuracy over methods with lossless or fixed loss factors, and a two-order-of-magnitude online speedup over Monte Carlo methods while maintaining lower total computational time.

Sara Zampierin, Sara Zampierin

Faculty CVs

No abstract provided.

Item Response Theory Evaluation Of Mental Health Sentiment Scales, Muhammad Amzad Hossain

Graduate Theses and Dissertations

Mental health is an essential part of overall well-being. Accurate measurement of constructs such as loneliness, anxiety, depression, and life satisfaction is extremely important in research and practice. Traditional approaches based on Classical Test Theory (CTT) are limited. They rely on total test scores and assume constant measurement error across individuals. They may not reflect true variability in measurement precision (Zein & Akhtar, 2025; Marvianto, 2023). In contrast, Item Response Theory (IRT) provides an advanced approach by examining item-level performance. It models the relationship between latent traits and responses (Zein & Akhtar, 2025 ). To address these limitations, this study …

Cosmic Chirps: Studies In The Evolution And Detection Of Gravitational Waves From Compact Binary Systems, Calla Irene Bassett Bigg

Graduate Theses and Dissertations

This dissertation will go over three projects that have to do with gravitational wave mechanics and history. The first project is about investigating computationally cheaper approximation methods for modeling EMRI (extreme mass ratio inspiral) orbits using interpolation. Two codes are interpolated together for full coverage of the parameter space. This interpolation has yet to be tested for accuracy but the preliminary outlook is positive. This may well be a useful tool for studying EMRIs. The second project is investigating the origins of the term “chirp mass”, where chirp mass is a combination of the two masses in a binary that …

Beyond Semantic Matching: Integrating Graph Structures, Boolean Logic, And Interactive Aggregation In Modern Retrieval, Quan Mai

Graduate Theses and Dissertations

Modern Natural Language Processing (NLP) and Information Retrieval (IR) systems have achieved remarkable success in semantic understanding; however, they continue to struggle with complex logical reasoning, structural interactions, and dynamic aggregation. This dissertation presents a comprehensive framework to enhance the structural, logical, and interactive capabilities of language models and retrieval systems across four progressive studies. First, we address the challenge of modeling dynamic conversational logic in online debates. We introduce a Sequence Graph Network (SGN) that captures the temporal and interactive exchange of ideas—such as counterarguments and reinforcements—by updating node features sequentially through a novel Sequence Graph Attention (SGA) layer. …

Soil Moisture Regime Effects On Greenhouse Gas Emissions In A Native Tallgrass Prairie In The Ozark Highlands, Thomas William Dockery

Graduate Theses and Dissertations

The Ozark Highlands is an ecoregion in the mid-southern portion of the United States that is characterized by a mosaic of tallgrass prairies, oak (Quercus spp.) savannas, and oak-hickory (Carya spp.) forests, which represents a unique biophysical transition zone between the relatively dry grasslands of the west and the humid forests of the southeast. Quantifying greenhouse gas (GHG) emissions, namely carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), from natural, undisturbed ecosystems is critical to understanding atmospheric warming and climate-change implications. The objective of this study was to simultaneously evaluate CO2, CH4, and N2O emissions in an aquic and …

Potassium Fertilization Timing And Critical Stalk Potassium Concentration As Tools To Improve Corn Production, Gabriela Andrade Leite Mengez

Graduate Theses and Dissertations

Potassium (K) is a common yield-limiting nutrient in Mid-Southern U.S. corn (Zea mays L.) production, emphasizing the importance of effective diagnostic tools to support fertilizer decision-making. This study integrated two approaches to improve K management in irrigated corn systems: (i) evaluating K fertilization timing to identify in-season opportunities for correcting K deficiency, and (ii) developing a corn stalk-based diagnostic test to assess end-of-season K and nitrate-nitrogen (NO₃-N) status and fertilizer adequacy. Seven (2024-2025) and eight (2023-2024) field trials were conducted across Arkansas for the K application timing and stalk testing studies, respectively. For the K timing study, fertilizer-K (112 kg …

Benchmarking Current Progress In 3d Content Generation, Vuong Ho

Graduate Theses and Dissertations

In recent years, 3D generation has rapidly advanced with the development of powerful generative AI models capable of producing high-quality 3D content from various modalities, including text, images, and multi-view inputs. These advancements have significantly accelerated progress in applications such as gaming, virtual reality, robotics, and digital content creation. Despite this progress, there is still a lack of standardized and fair benchmarking protocols for evaluating 3D generation methods. Existing approaches are often assessed under inconsistent experimental settings, using different datasets, evaluation metrics, and processing pipelines. Such inconsistencies make reliable and objective comparisons difficult, limiting our understanding of the strengths and …

Iterative Generation Of Feature-Based Cad Models Using An Llm With Domain Specific Constraints, Ammon I. Hepworth

Graduate Theses and Dissertations

This paper presents a method to generate feature-based parametric mechanical CAD models from text input. The method uses domain-specific constraints (DSCs) to guide a large language model (LLM) in the generation of scripts to build models from the CAD API. It also presents a framework for an iterative text-based system that produces parametric CAD models. The method was implemented by developing DSCs for FreeCAD and Open AI GPT-5.2 and incorporated into a web-based software application which generates models that can be visualized with an interactive viewer after each iteration. Tests were run comparing various models with and without this method. …

Wooster Magazine: Summer 2026, Caitlin Paynich Stanowick, The College Of Wooster

Wooster Magazine: 2021-2030

 The summer 2026 issue of Wooster magazine explores the role of mentorship in shaping inquiry, confidence, and lifelong learning at The College of Wooster. Features examine how personalized guidance supports student research through Independent Study, including projects by psychology and music, classical studies, physics, and computer science and neuroscience students that explored music cognition, ancient texts, consciousness, and distant galaxies. Additional featured stories highlight a faculty professional learning community focused on strengthening mentoring practices across campus and alumni Amber Rice ’01, Austin Russell ’19, Marcel El Kouri ’21, and Emily Beuter ’20, who carry forward the lessons and values of …

Impacts Of Climate Hazards On Employment And Earnings By Hazard Type, Industry, Race, And Ethnicity, Dania V. Francis, Keren M. Horn

Sustainable Solutions Lab

We examine the relationship between climate-related disasters and subsequent county-level aggregate employment and earnings. We combine earnings and employment data from 2000 to 2023 with data on disasters to estimate local projection impulse response functions relating extreme disaster events to cumulative percent changes in employment and earnings. On average, disasters appear to reduce employment growth three to five years post disaster. There are small positive impacts on earnings. These results are largely driven by responses to hurricanes and tropical storms. Key rebuilding industries such as construction see short-term gains in employment that turn to losses in the longer-term that are …

Utah County-Level Emergency Manager Survey, Bailey Holdaway, Courtney Flint, Gina Gilson, Richard Rushforth

Environment and Society Student Research

County emergency managers are central to preparing for and responding to hazards. This brief highlights preliminary survey findings and highlights opportunities to strengthen Utah's statewide hazard resilience.

A Framework For Top-K Queries With Constrained Preferences, Kyriakos Mouratidis, Nikolaos Chaloulakos, Bo Tang

Research Collection School Of Computing and Information Systems

Traditional rank-aware processing assumes a dataset that contains available options to cover a specific need (e.g., restaurants, hotels, etc) and users who browse that dataset via top-k queries with linear scoring functions, i.e., by ranking the options according to the weighted sum of their attributes, for a set of given weights. In practice, however, user preferences (weights) may only be estimated with bounded accuracy, or may be inherently imprecise due to the inability of a human user to specify exact weight values with absolute accuracy. Motivated by this, we define the constrained-preference top-k (CT) query. Given an approximate description of …