Digital Commons Network^™

Integrating Manager Perspectives Into The Evaluation Of Wetland Revegetation Strategies, Loren F. Taylor

All Graduate Theses and Dissertations, Fall 2023 to Present

Ecological restoration is the process of assisting the recovery of an ecosystem that has been degraded and is dependent on complex and context-specific decisions. The decision-making process influencing restoration is rarely examined alongside ecological processes. There is a need for research that incorporates the social, economic, institutional, and logistical considerations that shape real-world practices, as well as ecological processes. Decisions made by restoration practitioners and land managers (hereon “manager”) are challenged by the lack of information shared regarding the practical constraints (e.g., cost, labor, specialized equipment) they face. Revegetation, particularly in wetlands, poses challenges due to site conditions and degradation …

Cognitive Dynamics In Undergraduate Engineering Education: Effects Of Need For Cognitive Closure And Achievement Goal Orientation On Cognitive Engagement, Zain Ul Abideen

All Graduate Theses and Dissertations, Fall 2023 to Present

Cognitive and motivational factors play an important role in students’ engagement during problem-solving, which can lead to academic and professional success. Among these factors, Need for cognitive closure (NFCC) and achievement goal orientation (AGO) have been studied extensively individually, but their interaction and impact on engineering students’ problem-solving is still not explored. NFCC refers to the person’s desire for quick answers, and AGO is the student’s approach to learning and success. This research investigated the impact of NFCC on gender and engineering major, and the relation between NFCC (five facets) and AGO (Mastery, Performance) at their different levels. Additionally, this …

Software Developer Job Satisfaction: Interpretable Machine Learning Insights From The Stack Overflow Developer Survey, Reagan E. Hoopes

All Graduate Theses and Dissertations, Fall 2023 to Present

Many researchers have investigated the factors influencing software developer workplace outcomes, such as job satisfaction, due to the central role of the tech industry in the global economy and the specialized expertise of software developers. Past research has often relied on small surveys and traditional analysis methods, with limited use of modern machine learning techniques. This study introduces an efficient and scalable approach to analyzing software developer job satisfaction using interpretable machine learning.

We use data from the 2019 and 2024 Stack Overflow Developer Surveys, an annual survey of software developers worldwide that encompasses a broad range of topics, including …

Evaluating Use Of Multiple Hydrologic Storage Indicators To Enhance Streamflow Forecasting, Reza Morovati

All Graduate Theses and Dissertations, Fall 2023 to Present

Accurate seasonal streamflow forecasts are essential for managing water resources in the western United States, where much of the water supply depends on snow accumulation and melt. Water managers, farmers, and communities rely on these forecasts to plan for water use, prepare for droughts, and protect the environment. However, traditional forecasting methods often do not fully use all the available information about how water is stored in the landscape, such as in snowpacks, soil moisture, and groundwater. This can limit the accuracy of predictions and make water management more difficult.

This study aimed to improve streamflow forecasts by explicitly including …

Machine Learning Applications: Cell Tracking And Nonparametric Estimation Of Non-Smooth Divergences, Mina Mahbub Hossain

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis brings together two important research directions: how to compare different sets of data more accurately, and how to better understand how brain cancer cells move and change shape.

In the first part, we look at a problem in statistics: measuring how different two data sources are from each other. Traditional methods often make strong assumptions, which may not always hold in real situations. Our approach avoids those assumptions by using an ensemble method, a way of combining many weak estimators into one stronger result. This makes the method more flexible and reliable, especially when dealing with complex or …

Feasibility And Potential Of Electric Air Taxis For Long Distance Airport Access/Egress Trips, Atul Subedi

All Graduate Theses and Dissertations, Fall 2023 to Present

Getting to the airport is often one of the most stressful parts of a trip, especially for people who live far from the airport. In the United States, many travelers live more than an hour’s drive from a major airport, and their choices such as driving, using public transit, or paying for ride-hailing can be time-consuming, expensive, and inconvenient. A new technology, Electric Air Taxis (EATs), is being developed as a potential solution. These small, battery-powered aircraft could offer faster, cleaner, and more direct connections to airports. However, the success of EATs depends not only on the technology itself but …

Enhancing Grid Integration Of High-Power Loads Through Modular Unfolding-Based Power Conversion With Decentralized Control, Sanat R. Poddar

All Graduate Theses and Dissertations, Fall 2023 to Present

The transition to electric vehicles (EVs) is a critical step toward reducing greenhouse gas emissions and creating a cleaner, more sustainable transportation sector. However, many drivers — particularly those operating larger vehicles such as trucks and buses — face significant challenges, including limited driving range and lengthy charging times. High-power, fast-charging stations, which can rapidly replenish EV batteries, are therefore essential for mitigating these barriers and making electric transportation practical across all vehicle classes.

Despite the promise of electric vehicles, deploying high-power fast-charging stations presents significant challenges. They require large amounts of electricity, making them expensive to install, operate, and …

Design, Control, And Optimization Of Unfolding-Based Ac-Dc Topologies With Three-Port Resonant Converters For Electric Vehicle Battery Charging Applications, Aditya Zade

All Graduate Theses and Dissertations, Fall 2023 to Present

The global effort to reduce greenhouse gas emissions and reliance on fossil fuels has made electric mobility a cornerstone of sustainable transportation. This transition is driving demand for advanced charging infrastructure and more efficient power conversion systems. Power converters play a central role, not only in enabling reliable EV charging but also in integrating renewable energy sources with the grid. Because of the large amount of power involved, these converters must operate efficiently, reliably, and at low cost. Conventional high-power chargers often use two stages of conversion, which are effective but limited by size and energy losses. To overcome these …

Quicklime-Based Self-Healing Concrete For Bridge Deck Applications, Mehrnoosh Nazari

All Graduate Theses and Dissertations, Fall 2023 to Present

Concrete is one of the most widely used construction materials in the world. However, over time, it can crack and deteriorate, especially on roads and bridges exposed to harsh weather and deicing salts. Inspired by the long-lasting durability of ancient Roman concrete, this study explores the self-healing capabilities of concrete incorporating quicklime (calcium oxide) aggregates to extend the service life of bridge decks. For this purpose, three concrete mixtures were developed using local materials: one without quicklime (C-Q 0%) and two with 2% (C-Q 2%) and 4% quicklime (C-Q 4%). These mixtures were tested for fresh properties, strength, durability, and …

Built For Participation: A Set Of Measures For Evaluating Community Living For People Of All Abilities As Supported By The Built Environment, Christopher A. Wilson Ii

All Graduate Theses and Dissertations, Fall 2023 to Present

As the world enters a new era of urban living, it is important to develop cities that allow residents of all ages and abilities to fully participate in society. Integration of people with disabilities into daily community living involves looking beyond site- or product-specific features to community- and city-wide systems. Some tools have been developed to begin evaluating cities’ levels of inclusive social participation and to provide recommendations for city planning professionals. However, the tools that have been developed often are too complex for practical use or rely on data that varies in obtainability. Therefore, the purpose of this series …

Developing Standardized Testing Datasets For Benchmarking Automated Quality Control Algorithm Performance With Aquatic Sensor Data, Ehsan Kahrizi

All Graduate Theses and Dissertations, Fall 2023 to Present

Advances in water monitoring technologies have led to a large increase in the amount of data collected from rivers, lakes, and other water systems. However, ensuring that these data are accurate and reliable remains a major challenge. Traditional data quality checks are done manually by a technician, which can be slow, inconsistent, and not practical for real-time monitoring. This research addresses these challenges by developing standardized datasets for testing computer-based methods that automatically detect and correct errors in water data. Using information from the Logan River Observatory in northern Utah, we created a step-by-step process to identify, categorize, and label …

Unveiling The Interactions Between The Antibiotic Resistome And Microplastics Influenced By Trace Elements And Ppcps In Wastewater Treatment Plants, Tahira Tasneem Rahman

All Graduate Theses and Dissertations, Fall 2023 to Present

Antibiotic resistance is a growing global concern, and wastewater treatment plants play a critical role in controlling its spread. These facilities process water containing microplastics (small plastic particles), trace elements like copper and zinc, and chemicals from everyday products like pharmaceuticals and personal care products. Together, these pollutants may contribute to the survival and spread of bacteria containing antibiotic resistance genes, but their combined effects are not fully understood. This study investigated how these pollutants behave and interact in wastewater treatment plants using two approaches: direct monitoring of real treatment plants and controlled lab experiments using synthetic wastewater. Results showed …

Practical Effectiveness Of Large Language Models In Assisting Landscape Architects In Plant Selection, Paul Gardner

All Graduate Theses and Dissertations, Fall 2023 to Present

Artificial intelligence (AI) is rapidly transforming many industries, but its role in landscape architecture remains relatively unexplored. This study examines how AI, specifically GPT-4, can assist landscape architects in selecting plants for projects. By comparing AI-generated plant lists to those that human experts created, the research evaluates Accuracy, Suitability, Availability, Aesthetics, and Professional Usability.

The results show that AI-generated plant lists were highly efficient, accurately matching site conditions and improving plant availability while significantly reducing selection time. However, human expertise was essential for ensuring aesthetic quality and design intent. While AI can serve as a powerful tool for streamlining plant …

Reconstruction And Texturing Of 3d Surfaces From Fused Low-Cost Aerial Lidar And Optical Imagery, Samuel Kiguthi

All Graduate Theses and Dissertations, Fall 2023 to Present

Drones equipped with laser scanners (LiDAR) and cameras capture detailed 3D scenes. Combining the laser points with photos builds realistic, photo-textured 3D maps used in surveying, agriculture, and infrastructure planning. Conventional methods to create these maps often misrepresent inward shapes such as doorways, overhangs, and outcrops. These shapes are misrepresented because drones mainly view top surfaces and do not collect significant data on vertical or hidden areas.

This study introduces a surface-reconstruction method that groups LiDAR points into clusters, reconstructs smooth surfaces for each cluster, and uses information from recorded camera poses to stitch clusters together. Tests on real drone …

Design And Soft-Switching Analysis Of Resonant Converters In Unfolding-Based Ac-Dc Topologies For Wide Operating Range Electric Vehicle Charging Applications, Shubhangi Gurudiwan

All Graduate Theses and Dissertations, Fall 2023 to Present

As the global community becomes increasingly aware of the need to reduce greenhouse gas emissions and reliance on fossil fuels, transitioning to electric mobility emerges as a critical step towards a more sustainable and energy-efficient future. One of the major barriers to the mass adoption of battery electric vehicles is the lack of convenient, fast, and accessible charging stations. Long charging times and limited charger availability contribute to range anxiety. To address this challenge, improvements in public charging infrastructure and the development of reliable, high-efficiency, high-power converters are required.

Typically, a grid-tied ac-dc converter with a two-stage architecture, consisting of …

Data-Driven Streamflow Forecasting In The Upper Colorado River Basin Using Spatio-Temporal Graph Networks, Akhila Akkala

All Graduate Theses and Dissertations, Fall 2023 to Present

Forecasting river flow is essential for managing water supplies, reducing flood risk, and supporting healthy ecosystems. In the Upper Colorado River Basin, much of the yearly water comes from melting snow. However, many traditional models struggle to capture how snowpack and river flow interact, especially across such a large and complex region.

This study uses a modern machine learning approach called a Spatio-Temporal Graph Neural Network (STGNN) to improve streamflow prediction. The model uses Snow Water Equivalent (SWE)—a measure of how much water is stored in the snowpack—along with river flow data. By treating each river gauge as part of …

From Mechanisms To Management: Implications Of Biogeochemical Controllers And Land Management For Soil Carbon Cycling And Storage, Savannah R. Adkins

All Graduate Theses and Dissertations, Fall 2023 to Present

Climate change and its cascading effects are driven by increases in atmospheric carbon dioxide (CO₂). Many climate solutions exists to remove this excess carbon (C) from the atmosphere, and soils, in particular, represent one of the few win-win solutions. Soils play a vital role in the global C cycle because they store more C than plants and the atmosphere combined, however, they also release more CO₂ annually than fossil fuel combustion (a major contributor to accelerating climate change). Therefore, preventing CO₂ loss from soil could help slow the progression of climate change, and increasing overall soil …

Faxes, Emails, And Cad: A Case Study Of The Changing Landscape In Born-Digital Design Records, 1994-2006, Julia D. Larson

Journal of Western Archives

The article examines the technological changeover from analog to born digital design records in the mid-1990s, and is a case study in how one San Francisco Bay Area landscape architecture firm navigated the paradigm shift. The firm retained extensive documentation of the project management/construction administration for large scale projects, and this case study shows how archivists can utilize the analog documentation (like faxes and printed emails) to gain a greater understanding of how design firms began using Computer Aided Drafting and how CAD changed design and the process of archiving.

Faculty Senate Agenda December 1, 2025, Utah State University

Faculty Senate & Faculty Senate Executive Committee

• 3:00 Call to Order
• Approval of Minutes - November 3, 2025
• 3:05 University Business
• 3:20 Faculty Senate Business
• 3:30 Information
• EPC Report - November 6, 2025
• 3:45 Report
• Honors Program Annual Report
• USUSA Annual Report
• Faculty Evaluation Committee
• Academic Freedom and Tenure
• 4:10 Old Business
• 4:15 New Business
• Faculty Forum
• Adjourn: 4:30 pm

Leveraging Consistency: Evaluating Ai Coders For Qualitative Research, Saríah López-Fierro, Carlos Chiriboga-Calderón, José López-Fierro, Rubén Pacheco-Villamar

Instructional Technology and Learning Sciences Faculty Publications

This study provides insights of using Large Language Models (LLMs) for deductive coding tasks in market research. Deductive coding, which applies predefined codes to text, often demands consistency rather than interpretive nuance. 

We compare five closed-weight LLMs with a group of human coders in tagging instances of “Expansive Framing” across qualitative excerpts, using Fleiss’ Kappa, ANOVA, and Estimated Marginal Means. Results reveal that LLMs exhibit higher consistency and faster processing than humans. These findings suggest that integrating LLMs can improve efficiency, making them an attractive asset for firms managing large datasets.

Faculty Senate Executive Committee Agenda November 17, 2025, Utah State University

Faculty Senate & Faculty Senate Executive Committee

• 3:00 Call to Order
• Approval of Minutes October 20, 2025
• 3:05 University Business
• 3:20 Faculty Senate Business
• 3:35 Information
• EPC Report - November 6, 2025
• 3:40 Report
• Honors Program Annual Report
• USUSA Annual Report
• Faculty Evaluation Committee
• 4:05 Old Business
• 4:10 New Business
• Adjourn: 4:30 pm

Mesopause-Region Gravity Wave Activity Due To Tropical Convection As Observed By Awe, Jeffrey M. Forbes, Xiaoli Zhang, Jiarong Zhang, Stephen D. Eckermann, Yucheng Zhao, Pierre-Dominique Pautet, Jun Ma, Ludger Scherliess, Michael J. Taylor

Space Dynamics Laboratory Publications

Mesopause-region (∼ 87 km) gravity waves (GWs) generated by tropical convection are investigated within the four longitude sectors encompassing Africa, the Indian Ocean, the Intertropical Convergence Zone, and South America during the Dec 2023– Feb 2024 Southern Hemisphere monsoon season. Variances (Q_v) in the OH Q-line emission measured by the Atmospheric Waves Experiment (AWE) capture GW activity, and precipitation rates (PR) from the Global Precipitation Measurement (GPM) Mission identify regions of convective activity. The zonal component of GWs comprising the Q_v between 10°S-10°N primarily propagate eastward. The Q_v distributions are latitudinally-shifted and more confined in …

Effect Of Space Radiation On The Mechanical Properties Of High-Strength Polyethylene Nanocomposite Films, Seunghyun Moon, Achal Duhoon, Zhongtian Gu, Jr Dennison, Tengfei Luo

Journal Articles

This study experimentally investigates the effects of prolonged radiation exposure on mechanical properties of high-strength, highly crystalline polyethylene (PE)/thermally reduced graphene oxide (TrGO) nanocomposite films for space applications. Prior to irradiation, PE/TrGO films were found to have tensile strengths up to ~4 GPa, more than 40 times that of conventional space-deployed membrane films (e.g., those used in solar sails) and over 59× the specific tensile strength. The PE/TrGO films were subjected to three radiation conditions to simulate space environmental conditions: ⁹⁰Sr beta radiation (0.2 to 2.5 MeV), 80 keV electron beam irradiation, and 4.9 eV ultraviolet (254 nm) exposure. …

Faculty Senate Executive Committee Minutes November 17, 2025, Utah State University

Faculty Senate & Faculty Senate Executive Committee

• Call to Order
• Approval of Minutes - October 17, 2025
• University Business
• Faculty Senate Business
• Information
• EPC Report - November 6, 2025
• Report
• Honors Program Annual Report
• USUSA Annual Report
• Faculty Evaluation Committee
• Old Business
• New Business
• Adjourn: 4:46 pm

Measurement Uncertainty, Barton L. Smith, Douglas R. Neal

Mechanical and Aerospace Engineering Textbooks

This text is based on the graduate Measurements course notes from BLS at Utah State University. It is intended as a textbook for graduate students in engineering or physics or as a reference text.

If one collects several texts on measurement uncertainty, it quickly becomes clear that the measurement uncertainty community lacks a consistent language or nomenclature. This can be confusing to a new reader who may view measurement uncertainty as a very old and settled topic. The lack of consensus on nomenclature likely stems from the lack of a clear winner–a paradigm and nomenclature set sufficiently superior to be …

Curriculum Subcommittee Minutes November 6, 2025, Utah State University

Educational Policies Committee

• Approval of Minutes - October 2, 2025
• Program Proposals
• Semester Course Approval Reviews
• Other Business
• Adjourn: 3:00 pm

Educational Policies Committee Minutes November 6, 2025, Utah State University

Educational Policies Committee

• Approval of Minutes - October 2, 2025
• Subcommittee Reports
• Curriculum Subcommittee
• Academic Standards Subcommittee
• General Education Subcommittee
• Other Business
• Adjourn: 3:30 pm

Site Specific Reliability-Targeted Snow Loads And Winter Wind Parameters Across The World, Brennan Bean, Nicholas Brimhall, Bikram Bhusal, Marc Maguire, Maha Moussa

Mathematics and Statistics Faculty Publications

This report presents a framework for estimating Reliability Targeted Snow Loads (RTSLs) and Winter Wind Parameters (WWPs) at locations outside the Conterminous United States (OCONUS). The methodology integrates ground-based in-situmeasurements with gridded global climate products to generate spatially continuous RTSL estimates for nearly any location in OCONUS. RTSLs are computed at qualifying in-situ stations, and predictive models relating gridded climate products to in-situRTSLs enable estimation at locations lacking direct measurements. This report describes the development of the in-situ annual maximum snow load database, the construction of global gridded climate summaries, the estimation of site-specific RTSLs and Service Targeted …

New Collaborative Water Accounting Proposals To Protect Lake Powell And Lake Mead During Extreme Low Reservoir Storage And River Flow (Protect And Flexible During Crisis), David Rosenberg, Anabelle Myers, Brittany Fager, Erik Porse

Civil and Environmental Engineering Faculty Publications

Low Colorado River flows threaten to draw down Lake Powell and Lake Mead below their minimum power pool elevations. Additionally, the U.S. Federal Government through its Bureau of Reclamation (Reclamation) has set a new deadline for November 11, 2025 for new proposals to operate Lake Powell and Lake Mead after existing operations expire at the end of 2026. In a prior April 2025 post, we shared 13 reasons why we have hope for consensus on new operations (Rosenberg et al., 2026). One reason was that during crisis, rapid changes in policies and operations are possible. More recently, we asked the …

General Education Subcommittee Minutes November 6, 2025, Utah State University

Educational Policies Committee

• Call to Order
• Approval of Minutes - October 2, 2025
• Course Approvals/Removals/Syllabi Approvals
• New Business
• Depth Discussion
• Additional Items
• Adjourn: 9:25 am