Digital Commons Network^™

Construction Reflects Growth In Program, Lisa Singleton-Rickman

Documents

Construction of Keller Hall Annex

Una Announces Open House For New Facilities, East Lauderdale News

Documents

The official open house for Flowers Annex Hall and the expanded and updated Collier Library in 1984

Plans For The New Dormitory For Men, Florence Times

Documents

Reviewing the plans for the new Men's dormitory for F.S.T.C.

Health, Physical Education Program At College Will Be Aided By New Gym And Pool, The Florence Times

Documents

Construction of new Gymnasium and Pool at Florence State Teachers College

Curriculum Subcommittee Minutes April 2, 2026, Utah State University

Educational Policies Committee

• Approval of Minutes
• Program Proposals
• Semester Course Approval Reviews
• Other Business
• Adjourn: 3:00 pm 

The History Of Women In Neuroradiology In North America From 1990 To The Present, Vijay M. Rao

Department of Radiology Faculty Papers

From 1990 to 2024, women neuroradiologists in North America have made tremendous progress in the areas of leadership, clinical innovation, research, education, diversity, equity and inclusion, and global outreach. This chapter begins with summaries of their key accomplishments in four broad domains, followed by short biographical sketches of numerous luminaries organized by leadership roles and areas of expertise, and ending with conclusions and future directions.

Curriculum Subcommittee Agenda April 2, 2026, Utah State University

Educational Policies Committee

• Approval of Minutes - March 5, 2026
• R401 - Program Proposals 
• Semester Course Approval Reviews
• Other Business
• Adjourn: 3:00 pm

Educational Policies Committee Agenda April 2, 2026, Utah State University

Educational Policies Committee

Approval of Minutes - March 5, 2026

Subcommittee Reports

• Curriculum Subcommittee
• Academic Standards Subcommittee
• General Education Subcommittee
• Center for Civic Excellence

Other Business 

Adjourn: 4:00 pm

Designing Life Science Assessments In The Era Of Generative Artificial Intelligence, Andrew C. Kwong, Christopher Magnano, Christine Goglia, Joseph J. Loparo, John J. Peters

Biology Faculty Publications

Generative artificial intelligence (GAI) algorithms have the potential to reshape education. Though GAI may help democratize access to education, it also presents many challenges for educators. Already, the ease of use of GAI has made it easier for students to bypass learning gains by prompting GAI for answers to assignments. Here, we assessed how ChatGPT performed on take-home assignments in a doctoral-level molecular biology course designed to train students in experimental design. Using Bloom’s taxonomy as a framework, we hypothesized that ChatGPT would perform similarly to doctoral students on lower cognitive levels involving memorization and underperform at higher levels that …

Consent, Coercion, And Rupture: Rebuilding Trade In A Post-Authoritarian Future, Frank J. Garcia

International Law Journal

No abstract provided.

Utah Women And Skilled Trades, April Townsend, Susan R. Madsen

Marketing and Strategy Faculty Publications

Currently more than 8 million people in the US work in the construction and skilled trades industries, which have historically been referred to as “blue-collar” jobs.¹ The numbers will likely increase as there is a growing demand for skilled labor across the US because of the retirements of experienced tradespeople and the fact that fewer young people are pursuing these fields. Estimates show that by 2030, more than 40.0% of the current skilled trades and construction workforce will retire, leaving these industries with a critical worker shortage.² Projections suggest that in the US by 2030, the skilled trades …

Effects Of Personalization On Student Retention In Online Data Science Learning, Farshid Farzan

Electronic Theses and Dissertations Archive

The present study examined whether static personalization strategies can reduce dropout in short-duration online data science learning. Using a 2 × 2 factorial design, 98 undergraduate participants completed an online learning activity that either (a) aligned instructional materials with their learning preference (sequential vs. global) or (b) included a personalized non-interactive pedagogical agent. Retention was operationalized dichotomously (completion vs. dropout). Logistic regression analyses indicated that learning preference personalization significantly increased the odds of completion, whereas the pedagogical agent alone did not show a reliable main effect. However, the interaction between learning preference personalization and agent presence was statistically significant, suggesting …

Asymmetrical S-Curve For Residual Load Sways Suppression For Double-Pendulum Rotary Crane Using Bayesian Optimization, Haryson Johanes Nyobuya

Tanzania Journal of Science

In rotary crane operations, one of the main difficulties lies in suppressing the load sway during its movement. This can be achieved using only horizontal boom motion, offering a solution that is energy-saving, simple, and safe. However, this approach renders the system under actuated, making the suppression objective more difficult to achieve. In this study, a double-pendulum model is adopted to capture the coupled dynamics of the suspended load and hook, which shows a realistic basis for sway suppression. An asymmetric S-curve velocity trajectory is proposed to shape the horizontal boom motion, effectively minimizing residual vibrations without requiring direct sway …

Theory And Applications Of Natural And Nature-Based Solutions In Estuarine Environments, Elizabeth L. Royer

USF Tampa Graduate Theses and Dissertations

This dissertation focuses on the theory and application of Nature-based Solutions (NbS), through three unique case studies. This study explores how the broad and interdisciplinary NbS framework can be applied to mitigate common coastal hazards. This framework considers the environment, economics, and social wellbeing, equally in the design and implementation of a solution. The current paradigm, working against nature, which is commonly seen in more passive approaches to hazard mitigation, like grey infrastructure (e.g. a seawall to protect a shoreline against wave action) does not accommodate the extremely dynamic environment. As perspectives shift to “working with nature” NbS can be …

Re: Conditional Approval Letter For Revised Clark Tailings Consolidated Waste Management Area (Ctcwma) Site Investigation Data Summary Report 2024 And Response To Epa Comment Letter (Dated February 24, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Ais26s: Genai And Llms For Cybersecurity, Political Sciences, Transportation Security, And Resiliency, Latifur Khan

Paul English Applied Artificial Intelligence (AI) Institute Publications

This presentation examines the role of generative artificial intelligence (GenAI) and large language models (LLMs) in addressing complex challenges across cybersecurity, political science, and transportation security. Dr. Latifur Khan discusses how advanced AI methods can be applied to threat detection, data analysis, and decision-making in high-risk and data-intensive environments. The talk highlights interdisciplinary applications of LLMs, emphasizing their ability to extract insights from large-scale data, improve system resilience, and support intelligent infrastructure. Emerging research directions and practical implications for real-world deployment are also discussed.

Designing Space-Based Architectures To Discover And Track Hazardous Asteroids Using Mo-Mcts, Adam P. Wilmer, Michael J. Klonowski, Marcus J. Holzinger, Robert A. Bettinger

Faculty Publications

The discovery and tracking of near-Earth objects (NEOs), such as asteroids and comets, form the foundation of any effective planetary defense mitigation strategy—that is, the process of reducing or eliminating the threat these objects pose to humanity. Establishing sufficient warning time prior to a potential Earth impact is a critical outcome of this capability, as it enables informed decision-making and the selection of viable mitigation options. This study investigates how to optimally pre-position a fleet of NEO discovery and tracking (D&T) spacecraft within the Sun-Earth system. Candidate architectures—one or more pre-positioned spacecraft—are designed using Multi-Objective Monte Carlo Tree Search (MO-MCTS). …

A Qualitatively Driven Approach Integrated With Quantitative Analysis Applied To Decision Making In Institutional Administration Of Higher Education, Cristo Leon Ph.D., James Lipuma Ph.D., Michelle Kudelka

STEM for Success Resources

A qualitatively driven mixed methods study on decision-making in higher education administration. The article integrates Constructivist Grounded Theory, thematic analysis, participatory design, and quantitative dashboard analytics to examine interdisciplinary collaboration, institutional research management, and user-centered data visualization. It offers a practical framework for designing accessible and context-sensitive academic dashboards that support evidence-informed governance, resource allocation, and research strategy in universities

Everyday Tracking And Extraordinary Harm: Item Finder Misuse In Digital Coercive Control, Vivian Hocking, Shirley Atkinson, Hai-Van Dang, Nathan Clarke

School of Engineering, Computing and Mathematics

PurposeWhere one in three women worldwide experience some form of intimate partner violence, the rise of technology facilitated abuse means that abusers have increased access and control over their victims. This extension paper aims to examine the threat potential for technology misuse as pertains to item finder devices that make up part of the Internet-of-Things. Item finders have increasingly become the weapon of choice for abusers leveraging technological advantages against their victims.Design/methodology/approachThis study uses a mixed-methods approach, combining digital ethnography with 12 individuals engaged in a participant study to evaluate the misuse potential of Apple AirTag, Chipolo …

Exploring The Ethical And Practical Considerations Of Artificial Intelligence In Real-World Health Care Settings: Stakeholder Focus Group Study, Carmen Wendy Ulizio, Devika Dua, Naya Meenkashi Mukul, Santosh Areti, Kristin Kostick-Quenet, Vasiliki Nataly Rahimzadeh

Center for Medical Ethics and Health Policy Staff Publications

Background: Artificial intelligence (AI) technologies continue to transform how we research human disease, diagnose and treat patients, and operate hospitals. However, emerging ethical dilemmas surrounding their design, use, and oversight demand both policy attention and empirical research.

Objective: This study aims to explore current AI development, integration, and use activities across the Texas Medical Center (TMC), the largest medical center in the world, and identify emerging ethical priorities.

Methods: We conducted a total of 3 qualitative focus groups via Zoom (Zoom Video Communications, Inc) between May and June 2025 to gauge the perspectives of 19 clinicians, developers, administrators, and patient …

From Street Level To Science: Advancing Methods For Climate Walks To Improve Human Thermal Comfort, Kevin Lau, Cho Kwong Charlie Lam, Eduardo Krüger, André Santos Nouri, Zhikai Peng, Daniele Santucci, Andreas Matzarakis

School of Geography, Earth and Environmental Sciences

Urban heat risk is increasing, while fixed monitoring networks remain too sparse and coarse to resolve the pedestrian-scale variability, especially radiative loads, that governs outdoor thermal stress. This short communication advances the concept of climate walks, defined as route-based, human-centred field campaigns that build on earlier work on “thermal walks”, and presents them as a practice-ready methodology for design-relevant evidence. We define climate walks as structured, route-based, georeferenced assessments that pair high-resolution mobile microclimate measurements with synchronous in-situ human responses to capture transient, spatially heterogeneous conditions along actual walks. We synthesize key methodological features, such as dynamic, stop-and-go protocols; human-centred …

A Hybrid System For Multi-Stage Generation Of Contextual Translation Variants, Leonid Kuligin, Thomas Zettl

Defensive Publications Series

Some automated translation systems may be limited by producing a single, high-probability output, which can lack the linguistic diversity beneficial for certain applications. A hybrid, multi-stage workflow can generate multiple contextual translation variants by utilizing a probabilistic generative model, such as a large language model, to produce an initial set of translation candidates based on specified constraints. These candidates may then be programmatically refined, rated for quality, and deduplicated using deterministic and semantic techniques. By producing a curated list of distinct translation options instead of one output, this process can provide broader linguistic coverage to improve the performance of dependent …

Artificial Intelligence-Assisted Physical Design Convergence Cockpit, N/A

Defensive Publications Series

The design of modern semiconductors face challenges with numerous parallel place and route runs triggered by continuous updates, which are utilized to achieve quality of results and power, performance, and area convergence. The described technology introduces an artificial intelligence-assisted physical design convergence cockpit, which operates as a multi-agent system powered by large language models and retrieval-augmented generation engines. This system acts as an autonomous orchestrator that monitors design repositories, intelligently launches and tracks electronic design automation flows, performs real-time failure triage by parsing log files, and executes self-healing design closures by generating corrective scripts. The system features a modular architecture …

Symmetry-Aware Optimization Framework For Network Topology And Collective Algorithm Co-Design, N/A

Defensive Publications Series

The technology relates to a software framework providing for the simultaneous co-design of network topologies and collective communication algorithms in distributed computing environments. The software framework utilizes a graph-theory-based model to represent computing nodes and physical communication links, encoding hardware and software parameters into a solver-readable mathematical formulation. By applying combinatorial optimization solvers, the software framework identifies highly efficient physical cabling schemas and corresponding algorithmic routing schedules. To handle highly complex search spaces, the approach leverages graph automorphisms and symmetries in collective operations to significantly reduce the combinatorial search space. This enables the generation of tailored interconnect architectures and message-passing …

Active Thermal Balance Of Power Module, N/A

Defensive Publications Series

The present disclosure describes a system and method for achieving active thermal balance across multiple power modules connected in parallel. By monitoring the voltage, current, and operating temperature of each module, a control engine identifies thermal imbalances that may persist even when current sharing is implemented. The control engine adjusts operational parameters, such as duty cycle, switching frequency, and deadtime, to redistribute the thermal load among the modules. This coordinated adjustment reduces thermal stress and temperature swings, thereby extending the operational lifetime of the power supplies and improving overall system reliability.

Keywords: Active thermal balance, power module, thermal stress redistribution, …

System And Method For Dynamic Material Delivery Scheduling Via Asynchronous Constraint Resolution, N/A

Defensive Publications Series

This publication describes a technology for managing supply chain material delivery schedules through asynchronous constraint resolution. The system replaces static delivery dates with dynamic calculations based on real-time event signals. An event ingestion layer receives updates from non-logistics systems, such as site readiness tools and workforce management databases. A central logic engine evaluates these signals against a hierarchical priority logic to throttle warehouse execution at an individual line-item level. When constraints clear, the system automatically triggers a global re-optimization of the delivery schedule to synchronize material arrivals with available resources.

Keywords: dynamic scheduling, asynchronous constraint resolution, supply chain management, …

Systems And Methods For Repairability-Driven Error Detection And Mitigation, N/A

Defensive Publications Series

This publication discloses systems and methods for enhancing computing hardware reliability through repairability-driven error detection. Upper-layer software components select a minimum repair action to address hardware or low-level software errors. Each error type is associated with a tagged minimum repair action, which may be determined statically or dynamically at runtime. Machine learning models or expert inputs can be utilized to derive the tagged repair actions based on historical error logs and remediation probabilities. Additional environmental or diagnostic conditions may guide the selection of a specific repair action. The system evaluates both the execution time and the diagnostic time to select …

Your Ai Is Bs, Jimmy Williams Msc, Cpe, Cbp, Bindi Shakya Cpe, Alex Raju Cpe

GIS/ValuationTechnologies Conference 2026

The valuation industry, like many others, has become captivated by the language of “innovation.” Terms such as Artificial Intelligence, Machine Learning, and Automation are thrown around at conferences, in white papers, and across vendor pitches as if they’re the magic keys to the future. Yet, too often these buzzwords create confusion rather than clarity—slowing real adoption, misrepresenting what’s actually being done, and inflating expectations beyond reality. This presentation challenges the hype. We argue that much of what is being marketed as “AI” is simply the natural evolution of computer science, data analytics, and Moore’s Law—tools improving in speed and efficiency, …

Photogrammetric Analysis Of Porites Lobata And Pocillopora Spp. Live Coral Cover At Devil's Crown, Galapagos Islands, Ecuador, Katherine Whitehouse, Preston Toutant

Undergraduate Student Symposium

Porites lobata and Pocillopora spp. are predominant scleractinian corals at Devil's Crown, Galápagos Islands, Ecuador that have been monitored for 48 years. Fluctuations in colony abundance and live tissue surface area of both taxa are associated with environmental variability driven by El Niño-Southern Oscillation. To better quantify colony number and live tissue cover of the two taxa, photogrammetry was utilized during a research expedition in May 2025. Two GoPro cameras were used during snorkel transects in the northwest (Porites) and northeast (Pocillopora) sectors of the shallow (2-3 m depth), elliptical submerged caldera to produce overlapping digital …

The Hidden Map Of Women's Health: Predictors And Protectors Across Our Lives, Tasfia Howlader

Undergraduate Student Symposium

Women's health has constantly been changing-from public health infrastructure to health policies, and even medical advancements. Yet, the struggles are persistent within the gaps present in women's health. The Socio-Ecological Model (SEM) explains interactions between different levels of relationships, which result in health outcomes that vary from individual factors to environmental factors. Applying the SEM to describe health disparities can help explain how the relationships an individual has influenced their health. This project serves to exemplify these different levels while discussing the tailoring of services to the needs and the importance of populations based on their experiences. Specifically, adhering to …