Digital Commons Network^™

Assessing Spatial Distribution And Quantification Of Native Trees In Saskatchewan's Prairie Landscape Using Remote Sensing Techniques, Elham Shafeian, Bryan J. Mood, Kenneth W. Belcher, Colin P. Laroque

Aspen Bibliography

The importance of trees in non-forest landscapes has been the focus of only a few studies. However, these trees provide many important ecosystem services. In this study, we mapped and quantified these trees using Sentinel-2 (S2) and very high-resolution (VHR) Google satellite imagery without any field campaigns. We performed a Random Forest (RF) classification to map the spatial distribution of native trees in different scenarios. The optimal model showed an overall accuracy and kappa of 0.99 and 0.98, respectively. We mapped 40,500 km² of tree cover, including native tree cover (approximately 29,565 km²≈10.5%), excluding plantations, regional and …

A Novel, Direct Matrix Solver For Supersonic Boundary Element Method Systems, Cory D. Goates, Doug Hunsaker

Mechanical and Aerospace Engineering Faculty Publications

For problems with very fine surface meshes, typically the most time-consuming step of a boundary element method (BEM, also called a panel method) is solving the final linear system of equations. Many have already studied how to efficiently solve the dense, asymmetric systems which arise in elliptic BEMs. However, this has not been studied for a supersonic aerodynamic BEM, for which the governing PDE is hyperbolic. Due to this hyperbolic character, the matrix equation which arises from a supersonic BEM has a large number of identically zero elements. But the resulting linear system of equations is also not sparse in …

Education Policy Committee Minutes December 05, 2024, Utah State University

Educational Policies Committee

• Approval of Minutes
• Subcommittee Reports
• Other Business
• Adjourn: 3:30pm

Curriculum Subcomittee Minutes December 5, 2024, Utah State University

Educational Policies Committee

• Approval of Minutes
• Program Proposals
• Semester Course Approval Reviews
• Other Business
• Adjourn: 3:02pm

Curriculum Subcommittee Agenda December 05, 2024, Utah State University

Educational Policies Committee

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

Education Policy Committee Agenda December 05, 2024, Utah State University

Educational Policies Committee

• Approval of Minutes
• Subcommittee Reports
• Other Business
• Adjourn: 4:00pm

Reconstructing Long-Term, High-Resolution Groundwater Storage Changes In The Songhua River Basin Using Supplemented Grace And Grace-Fo Data, Chuanqi Liu, Zhijie Zhang, Chi Xu, Wanchang Zhang

Environment and Society Faculty Publications

The Gravity Recovery and Climate Experiment (GRACE) enables large-scale monitoring of terrestrial water storage changes, significantly contributing to hydrology and related fields. However, the coarse resolution of groundwater storage anomaly (GWSA) data limits local-scale research utilizing GRACE and GRACE-FO missions. In this study, we develop a regional downscaling model based on the linear regression relationship between GWSA and environmental variables, reducing the grid resolution of GWSA obtained from GRACE from approximately 25 km to 1 km. First, we estimate the missing values of monthly continuous terrestrial water storage anomaly (TWSA) for the period from 2003 to 2020 using interpolated multi-channel …

Condition And Management Futures In A Quaking Aspen Recreation Area. Final Report To Snyderville Basin Special Recreation District, Paul C. Rogers, Georgie Corkery, Anna B. Miller

Aspen Bibliography

In partnership with Snyderville Basin Special Recreation District (SBSRD), we undertook a study of ecological conditions and user preferences within a quaking aspen recreational destination forest. The location, in two sections know as Run-A-Muk and Right Turn Sage (RAM/RTS), has experienced some forest die-off in the principally aspen dominated forest dissected by ski, bike, and hiking trails. Graduate student Georgie Corkery led the study and successfully completed a Master's degree, in addition to providing needed information to SBSRD regarding the status, uses, and preferred actions at this facility. Key outcomes regarding aspen conditions include assigning causal factors—ungulate browsing and elevated …

Quantifying The Impact Of Rain-On-Snow Induced Flooding In The Western United States, Emma M. Watts

All Graduate Theses and Dissertations, Fall 2023 to Present

Serious flooding can happen when rain falls on snow, which we call a rain-on-snow (ROS) event. Increasing our understanding of the behavior of floods resulting from ROS events can help us design better systems to manage flood water and prevent it from causing damage. This thesis explores how ROS events affect streamflow in the Western United States by examining the weather conditions that precede a streamflow surge. We classify stream surges as ROS or non-ROS induced based on these weather conditions, which helps us separate floods caused by ROS events from those caused by other factors. By comparing these different …

The Effect Of Indaziflam On Seed Production In Perennial Cool-Season Grasses, Benson F. Israelsen

All Graduate Theses and Dissertations, Fall 2023 to Present

Annual invasive grass weeds are a major problem in grass seed production as they contaminate seed lots and decrease the quality. Few effective herbicides are available to control invasive grass weeds in seed production systems. Indaziflam is a pre-emergence herbicide capable of providing annual weed control for 3-5 years after application. Indaziflam is not labeled for use in seed production as little is known of the effect it will have. The purpose of this study was to measure total seed yield, seed germination, seed mass, and seedling vigor when applying 0, 40, 77, and 93 g ai ha^-1 of …

Teaching Methods To Build The Numeracy Skills Of Preschoolers With Disabilities And Complex Communication Needs, Avery Briggs

All Graduate Reports and Creative Projects, Fall 2023 to Present

This project explored the use of a curriculum that incorporates naturalistic and explicit instructional approaches through literature and direct teaching moments on the numeracy skills of three students with disabilities and complex communication needs. The numeracy skills targeted included patterning and sorting, shape discrimination, and quantity discrimination. This project took place during Extended School Year (ESY), a program that extends the traditional school year to provide services to students with disabilities. Student present levels and progress were assessed through a pretest and posttest given on the first and last days of ESY, in addition to progress monitoring data taken during …

Selected Projects In Scenic And Props Design, Melanie E. Valera Garcia

All Graduate Reports and Creative Projects, Fall 2023 to Present

This plan B paper is a compilation of four projects in which I had the opportunity to participate during my years in the master's program, four scenic projects and one on properties. The paper is divided into four chapters: Pinocchio Teatrale, The Boy at the Edge of Everything, Driving Miss Daisy and Ms. Holmes and Ms. Watson Apt 2B. Each chapter has an introduction, a synopsis of the play, a descriptive design process, the execution of its design and a final evaluation.

Professional Portfolio: Assessment Of And Strategies For Improving A Middle School Student’S Mathematics Performance, Gwenyth O. Falck

All Graduate Reports and Creative Projects, Fall 2023 to Present

This project explores strategies to help secondary students with disabilities improve their mathematics performance. With eighth-grade math scores trending downward and algebra serving as a critical gateway to higher education, target interventions are needed. The literature review highlights two main instructional methods: the Explicit Inquiry Routine (EIR) and the Concrete-Representational-Abstract Integration (CRA-I). Both incorporate physical and virtual manipulatives. These approaches have been shown to help students grasp algebraic concepts, retain what they have learned and apply the skills to new types of problems.

In addition to the research review, this paper includes assessment and intervention reports for a seventh-grade student …

Equivalent-Area Studies For Sonic Boom Loudness Mitigation On A Commercial Supersonic Aircraft Configuration, Zachary N. Foster

All Graduate Reports and Creative Projects, Fall 2023 to Present

Since the early 1970s, the FAA has banned commercial supersonic flight over populated areas. This ban has limited aerospace manufacturers’ and commercial aircraft companies’ ability to design and operate subsonic aircraft in their fleets. Since then, research has been conducted to understand the sonic boom and learn how to minimize its loudness. The work presented in this project report aims to use a 1D low-fidelity analysis to study the effect of perturbations to the outer mold line (OML) of a representative model of the N+2 Quiet Commercial Supersonic Concept Aircraft. Using a 1D analysis that employs an equivalent area method, …

Instrument Development For Determining High School Students’ Epistemological And Ontological Beliefs Regarding Photography, Earl Stanford Maeser Jr.

All Graduate Theses and Dissertations, Fall 2023 to Present

Research in educational psychology has shown that students' beliefs about knowledge—known as personal epistemology—significantly impact their academic success. However, accurately measuring these beliefs has proven to be challenging due to the lack of reliable and valid tools. This study addresses this gap by developing and testing two tools aimed at assessing high school students' beliefs about knowledge and reality in the context of photography: the Photographic Knowledge Questionnaire (PKQ) and the Photographic Reality Questionnaire (PRQ).

Photography, with its strong ties to reality and representation, provides a unique way to explore personal beliefs about the nature of reality and how knowledge …

Reducing The Cost Of Implementing The F.I.T. Game Healthy Eating Program In Diverse Schools While Observing Effects On Food Waste, Robert Gifford

All Graduate Theses and Dissertations, Fall 2023 to Present

It is well known that children do not eat enough fruits and vegetables. The FIT Game Healthy Eating Program is an interactive, story-board type narrative that has increased fruit and vegetable consumption in elementary school children. While The FIT Game intervention has shown progress in the past, the schools studied had minimal diversity and the intervention was time intensive and costly.

This research utilized The FIT Game intervention in four Salt Lake City area, Title 1, schools with a large amount of student diversity. The first portion of research was conducted in two phases. The first phase compared an intervention …

Engineering Faculty Perceptions On Student-Use Of Generative Artificial Intelligence (Gai) In Course Completion, Michaela Harper

All Graduate Theses and Dissertations, Fall 2023 to Present

Computer science and engineering faculty often argue whether students should be allowed to use GAI tools, such as ChatGPT, or banned from using them for fear of decreasing learning and workforce quality. This research gathers and reports engineering and computer science faculty members’ perceptions, opinions, and recommendations for GAI use in higher education. Faculty members agree that these technologies are here to stay and must be understood to address GAI in college and university courses. However, their willingness to implement GAI into their courses varied based on prior experience in industry and with the technology itself. Those with very limited …

Interpreting Neural Networks For Particle Tracing In Fluid Simulation Ensembles: An Interactive Visualization Framework, Maanav Choubey

All Graduate Theses and Dissertations, Fall 2023 to Present

Understanding the internal mechanisms of neural networks, particularly Multi-Layer Perceptrons (MLP), is essential for their effective application in a variety of scientific domains. In particular, in the scientific visualization domain their adoption has recently shown to be a promising tool to predict particle trajectories in fluid dynamics simulation and aid the interactive visualization of flows. This research addresses the critical challenge of interpretability of such models.

While interpretability has been extensively explored in fields like computer vision and natural language processing, its application to time series data, particularly for particle tracing (or prediction of trajectories), has not garnered sufficient attention. …

Finite-Time Control Strategies For Rendezvous And Proximity Operations, John Tamotsu Akagi

All Graduate Theses and Dissertations, Fall 2023 to Present

One common metric to use when designing a controller is the time that the system will take to reach the desired state. Unfortunately, many approaches to developing controllers only guarantee that the system will approach, but not exactly reach, the desired state. This can become a limitation in time-sensitive situations where rapid and complete convergence is necessary. One group of control methods, known as finite-time control, does guarantee both faster convergence and that the desired state will be reached, but often fails to define exactly what time that will occur, how much control will be used to get there, and …

Impact Of Snow Accumulation On Structural Integrity: Present And Future Perspectives, Kenneth K. Pomeyie

All Graduate Theses and Dissertations, Fall 2023 to Present

In the United States, accommodating the weight of accumulated snow on buildings is a crucial consideration in building design. Engineers are tasked with determining the design snow load, which is defined as the weight of accumulated snow that a structure should withstand to limit the risk of building collapse to an acceptably low level. Typically, this process involves analyzing historical data of the annual maximum snow accumulations for each snow season. However, accurately assessing these design snow loads entails navigating through a series of statistical challenges. This dissertation, composed of three papers, is dedicated to addressing these statistical hurdles in …

Testing For Patterns Of Deformation From The Yellowstone Hotspot Along The Gallatin River, Sw Montana, Jack Willard

All Graduate Theses and Dissertations, Fall 2023 to Present

Yellowstone has fascinated humans for thousands of years. Geologists have addressed many of the region’s mysteries, including the underlying mantle hotspot, the chain of calderas tracking the motion of the North American Plate over this hotspot, and the risks posed by the super volcano. However, the way that the hotspot impacts regional tectonics and topography remains under-studied. Influential previous work recognized the Yellowstone Crescent of High Terrain (YCHT), an arc of high topography around the Yellowstone Plateau with limbs extending to the west and south into central Idaho and northern Utah. The YCHT is also hypothesized to be the pattern …

Script Fading And Training: Evaluating The Necessity Of Visual Cues To Teach Contextually Appropriate Play Commenting, Devanio J. Cousins

All Graduate Theses and Dissertations, Fall 2023 to Present

Autism Spectrum Disorder (ASD) is marked by many areas of need, including play and communication. These areas of concern can have a negative impact on a child's development. Applied behavior analysis, specifically script training and fading procedures, has shown promise in teaching communication during play to young autistic children. However, traditional script training and fading methods have some limitations, including the skills the children already possess to learn the scripts and the resources needed to teach the scripts. Recent studies have shown that script frames can be taught without using traditional training formats (i.e., text, auditory) but by using generic …

Course Of Disease Progression And Time To Death Among Different Dementia Types In A Population Based Study, Kaitlyn E. Kauzor

All Graduate Theses and Dissertations, Fall 2023 to Present

Alzheimer’s disease (AD) is the most common type of dementia, Other types of dementia include vascular (VaD) and mixed forms, like AD with VaD, other mixed forms of dementia or dementia of unknown etiology (DUE). Research has focused on factors that may increase risk of developing dementia, with less understood about disease course. Factors associated with risk for developing dementia onset include age, female sex, family history of dementia, genetics (e.g. having the ε4 allele of the Apolipoprotein E or APOE gene), and various health conditions. This project used previously collected data from the Cache County Study on Memory and …

Data-Driven Techno-Economic Analysis, Optimization, And Uncertainty Quantification Of Integrated Energy Systems In Deregulated Electricity Markets, Jacob A. Bryan

All Graduate Theses and Dissertations, Fall 2023 to Present

Electricity is a ubiquitous energy source in daily life, powering everything from stovetops and cellphones to vehicles and industrial processes. While wind and solar power have become increasingly common sources of electricity, the majority of electricity is still produced by burning fossil fuels, releasing greenhouse gases and propelling climate change. Wind and solar power cannot economically replace these fossil fuel energy sources on their own because they do not produce consistent power; the wind must be blowing, and the sun must be shining for them to make electricity. Nuclear power is a reliable source of energy that does not generate …

A Mass Balance Model Of The Great Salt Lake, Ut With Adaptive Management Applications, Diana Dunn

All Graduate Theses and Dissertations, Fall 2023 to Present

The Great Salt, Utah, USA is a saline lake that provides critical habitat for ecologic communities and generates $1.3 billion annually. It has gone through detrimental change since the 20^th century. Streamflow reaching the lake has been decreased by upstream withdrawal for industrial and municipal use, causing the lake level to drop and salinity to increase to unhealthy levels. Further, in 1959, it was segregated into north and south sections by a railroad causeway. Due to the causeway and limited exchange of water through two bridges, the lake sections have significantly different water surface elevation and salinity levels. The …

Aggregate And Disaggregate Effects Of The Us-China Trade War On Us Agriculture, Aflatun Kaeser

All Graduate Theses and Dissertations, Fall 2023 to Present

In 2018 and 2019, the US-China trade war caused a significant shift in US agricultural trade dynamics. This thesis conducts an aggregate and disaggregate analysis of the impact, using event study analysis to reveal varying effects on US agricultural exports, with a substantial effect on Soybean and Dairy exports. The analysis also found that there are heterogeneous effects on other agricultural commodities such as fruits, wheat, and tree nuts. Using Bayesian Structural Time Series Modeling, the study finds a 29% decline in soybean exports during the trade war period. These findings underscore the importance of considering the heterogeneity in the …

Metabolic Capabilities Of Latilactobacillus Curvatus And The Potential Use As An Adjunct Culture For Food Safety And Quality Control In Yogurt, R. Chase Wahlstrom

All Graduate Theses and Dissertations, Fall 2023 to Present

In the quest for healthier and more natural food products, using beneficial lactic acid bacteria to preserve food, known as biopreservation, is becoming increasingly important. This research focused on a strain of beneficial bacteria called Latilactobacillus curvatus and its ability to inhibit fungal growth both in lab settings and in a yogurt system. This has the potential to enhance the safety and quality of dairy products.

We studied a specific strain of this bacteria, named WSU-1, found in dairy. Through detailed analysis, we discovered that this strain could produce substances that may help protect food from harmful microbes. In laboratory …

Barriers And Drivers To Bus Electrification: The Transit Agency's Perspective, Aleks C. Paskett

All Graduate Theses and Dissertations, Fall 2023 to Present

Battery-electric buses (BEBs) have become increasingly common in recent years, as transit agencies around the world seek to reduce their carbon emissions. Although many agencies and governments have set ambitious climate goals pushing for increased adoption of BEBs, some agencies face difficulty transitioning their fleets to this technology. This study seeks to understand the challenges faced by these agencies, as well as their motivations for adopting BEBs. Researchers conducted a series of interviewers with twelve transit leaders representing ten transit agencies who were leading BEB adoption programs, asking questions about their experiences trying to implement this technology. The interviewees stated …

Development Of A Multidimensional Index Of Fall Risk For Older Adults: The Cache County Study, Alexandra G. Hammond

All Graduate Theses and Dissertations, Fall 2023 to Present

One out of four adults over the age of 65 are estimated to fall each year in the U.S. alone, with that number expected to rise to 52 million falls per year by the year 2030. Improving accuracy for identification of older adults at a higher risk of falling is increasingly important and may be integral in informing the distribution of limited resources and assist in preventing falls in older adults. This project examined the relationship between previously identified risk factors and fall risk to create multidimensional fall risk indexes for older adults, specific for each sex.

Factors best associated …

Interpretable And Robust Deep Anomaly Detection, He Cheng

All Graduate Theses and Dissertations, Fall 2023 to Present

Anomaly detection is crucial in fields like cybersecurity, healthcare, and finance, as it helps identify unusual or potentially harmful events in data. With the rise of deep learning, advanced models have been developed for anomaly detection, but they often operate as "black boxes" that lack transparency and can be susceptible to malicious attacks. My research addresses these issues by creating methods that make deep learning-based anomaly detection more understandable and by investigating how such models can be compromised by backdoor attacks.

To improve transparency, I propose three methods that explain how these models detect anomalies. The first method, called Anomalous …