Digital Commons Network^™

Effective Science Instruction For Elementary Aged Students With Significant Cognitive And Adaptive Delays, Rabecca L. Juarez

All Graduate Reports and Creative Projects, Fall 2023 to Present

In Utah, students begin participating in statewide end-of-year assessments in third grade, with science added in fourth grade. Students with the most significant cognitive and adaptive disabilities participate in the Dynamic Learning Maps® (DLM®) alternate assessment, which measures student performance in English language arts, mathematics, and science aligned to Essential Elements (EE). Despite participation in statewide accountability systems, students with significant cognitive disabilities in a Southwest Utah School District have consistently demonstrated low science performance on the DLM assessment.

The aim of this project was to collaboratively create science lessons for students who participate in the alternate assessment. This project …

Economic Efficiency Of End-Guns On Center Pivot Irrigation Systems For Utah Alfalfa Production, Sophia Moss

All Graduate Reports and Creative Projects, Fall 2023 to Present

This study looks at whether using an end-gun on a center pivot irrigation system is financially worthwhile for Utah alfalfa producers. End-guns are used to water extra acreage beyond the end of a pivot, they can also apply water less evenly, which may reduce production on those outer acres. To examine this tradeoff, the study compares farm returns with and without an end-gun using historical Utah alfalfa price and yield data along with estimates of irrigation cost, added acreage, and possible yield loss. The results suggest that end-guns can improve profitability in many cases, mainly because they bring more acres …

Implementing Functional Communication Training Through Paraprofessional Preparation In A Self-Contained Elementary Special Education Classroom, Cece Afatasi

All Graduate Reports and Creative Projects, Fall 2023 to Present

Students with significant cognitive disabilities often experience difficulty communicating their wants, needs, and emotions. When students are unable to communicate effectively, they may rely on challenging behaviors such as aggression or self-injurious behavior to meet their needs. Because paraprofessionals provide much of the daily instructional and behavioral support in self-contained special education classrooms, they play a critical role in implementing evidence-based communication interventions.

The purpose of this professional portfolio was to explore the implementation of Functional Communication Training (FCT) through two related projects. The first focused on preparing paraprofessionals to implement FCT using Behavioral Skills Training (BST), while the second …

Music And Middle School Mathematics, Cheryl L. Hawkins

All Graduate Reports and Creative Projects, Fall 2023 to Present

The purpose of this project was to see if music playing in the background while learning essential mathematics skills would make a difference in the learning process of middle school students. For nine weeks I collected data on the scores of the special education students relearning skills they had been previously taught in a general education mathematics class. The students took a baseline assessment, then had 30-40 minutes of instruction spread across two days. They then took another assessment to see what the change was. During the lessons and assessments there was one of three conditions happening, one was silence, …

History In The Social Studies Classroom: Developing Historical Literacy And Skills Through Inquiry Lessons, Nancy J. Thatcher

All Graduate Reports and Creative Projects, Fall 2023 to Present

This Plan B project has created a series of inquiry-based lesson plans and activities for World History classrooms that emphasize historical literacy and disciplinary thinking. Rather than producing a traditional research thesis, this project emphasizes applied historical scholarship by translating historical and professional methodology into three classroom ready instructional lesson plans that are aligned with the Utah Core Standards for Social Studies. The project reflects the History MA’s emphasis on disciplinary rigor while addressing the practical needs of public history and education with pedagogical best practices. This project responds to ongoing challenges in World History education, including constrained instructional time, …

Accelerating Rans Cfd Convergence For Bluff Body Flows Using Surface-Vorticity Panel Solver Initialization, Trisha Babu

All Graduate Reports and Creative Projects, Fall 2023 to Present

Reynolds-Averaged Navier--Stokes (RANS) simulations are widely used for predicting aerodynamic performance in engineering applications but often require substantial computational time to achieve convergence, particularly for bluff-body flows characterized by large-scale separation and wake formation. Improving the initialization of CFD simulations offers a practical approach for reducing computational cost without modifying the underlying numerical algorithms. This study investigates the use of a surface-vorticity panel solver (FlightStream) to generate physically informed velocity fields for initializing steady RANS simulations in STAR-CCM+.

Two canonical bluff-body geometries are considered: a sphere at a Reynolds number of 5 X 10⁵ and an isolated cube at …

Water Use And Yield Of Subsurface Drip-Irrigated Forage Crops In Northern Utah, Nishchal Tamang

All Graduate Reports and Creative Projects, Fall 2023 to Present

Growing water scarcity in the Intermountain West has increased interest in improving water use efficiency. Subsurface drip irrigation (SDI) has the potential to reduce evapotranspiration (ET), evaporative losses, surface runoff, and deep percolation. SDI adoption in Utah forage crops is limited, and region-specific information on forage crop water use under SDI is lacking. This study compared ET, yield, and productivity of forage crops between SDI and conventional irrigation methods in northern Utah.

The study was conducted on production fields. Applied irrigation, precipitation, and crop yield were directly measured, while deep percolation was estimated using numerical unsaturated flow modeling. Surface runoff …

Isolation, Identification, And Enzymatic Screening Of Fungi From Utah Dryland Soils For Industrial And Waste Valorization Applications, Jessica Lorena Silva Cuero

All Graduate Reports and Creative Projects, Fall 2023 to Present

Agricultural waste accumulation presents environmental challenges but also opportunities for biological valorization into value-added products. Fungi are particularly well-suited for this purpose due to their capacity to produce extracellular enzymes involved in the degradation of complex organic substrates. Dryland ecosystems represent a promising source for bioprospecting microbes capable of producing such enzymes. Drylands harbor a high diversity of extremophilic microorganisms that can withstand harsh conditions, extreme heat, UV, and low nutrients using unique adaptations. This suggests that these microbes are resilient and capable of surviving under varying conditions and still produce enzymes for biotransformation. The objective of this study was …

Modulating Linear Frequency Modulated Pulses To Send Communications Data In A Bistatic Sar Scenario, Jarren T. Worthen

All Graduate Theses and Dissertations, Fall 2023 to Present

Synthetic aperture radar (SAR) is the technology that enables the creation of images using radar waves, allowing images to be formed regardless of weather. In bistatic SAR a radar platform uses a radar pulse from a separate platform to form an image. It is important that these radar systems are able to communicate with each other. Rather than wasting energy and space flying with a separate communication system, the radar systems could use the already existing SAR system to send data between each other while still forming SAR images. The work of this thesis is to show how very simple …

Modular Verification For Network-On-Chip Designs Using Probabilistic Verification And Assume-Guarantee Reasoning, Nicholas Waddoups

All Graduate Theses and Dissertations, Fall 2023 to Present

To satisfy increasing demands for computer chip performance in personal computing, mobile devices, and commercial server computing, a modern computer chip is constructed with tens (or hundreds) of small individual computing modules. Each of these modules must communicate with one other to share information about the running state of a computer. Historically, when chips were a few modules a simple communication method sufficied. However, as the number of modules in a chip grew, a more effecient method was needed in order to maintain performance across the system as a whole. A Network-on-Chip (NoC) design is the de-facto communication method for …

Theory, Implementation, And Practical Applications Of A Modern Parabolized Navier-Stokes Code, Logan B. Freeman

All Graduate Theses and Dissertations, Fall 2023 to Present

The Parabolized Navier-Stokes (PNS) method is a specialized computational approach for solving the equations that govern fluid flowing faster than the speed of sound, known as supersonic flow. By leveraging unique physical properties of supersonic environments—specifically that information cannot travel upstream—this method allows for significantly more efficient calculations than traditional approaches. Supersonic flows are important for many military and civilian applications including hypersonic weapons, high-speed passenger aircraft, and reentry. This thesis provides a comprehensive review of the two-dimensional PNS formulation, detailing the mathematical derivation and its practical implementation for solving flow problems. Through performance analysis and error assessment, this research …

Simulation Of Hypersonic Conditions In A Lab-Scale Environment Using A Hybrid Rocket With Nitrogen Cooling, Joshua R. Sorenson

All Graduate Theses and Dissertations, Fall 2023 to Present

Developing hypersonic vehicles requires testing under extreme heat, airflow, and pressure. Traditional facilities like shock tunnels and arc-heated wind tunnels are costly and slow to set up. This thesis proposes a simpler, low-cost method using a small-scale hybrid rocket motor as a gas generator. The rocket’s hot exhaust is directed onto the front edge of a scaled-down model that represents the nose of a hypersonic vehicle. This creates a realistic flow that matches both the intense heat energy and the pushing force experienced in high-altitude hypersonic flight. The setup allows easy measurement of motor performance, surface pressures, leading-edge temperatures, and …

The Augmented Matching Law, Matias A. Avellaneda

All Graduate Theses and Dissertations, Fall 2023 to Present

Every living organism, including humans, has a finite amount of time available: 24 hours in a day, 365 days in a year, and a certain number of years in its life. At every moment, such an organism will be engaging in one of a multitude of possible activities, such as eating, sleeping, or reading this dissertation. We use the term choice to denote the way in which the organism distributes its time among all these activities, and some of these choice patterns are more beneficial to the organism than others, showcasing the importance of understanding the mechanisms underlying choice. A …

Thermal Rating And Prediction Of Roadway-Embedded Power Electronics For Dynamic Wireless Power Transfer, Forrest D. Nichols

All Graduate Theses and Dissertations, Fall 2023 to Present

Electric vehicles can be charged while driving through wireless charging coils buried in the road surface. To avoid running expensive cables from roadside equipment to each charging pad, the electronics that control the power transfer can also be buried in the road. However, burying these circuit boards removes the ability to cool them with fans or flowing air, so the heat generated during operation must escape naturally into the surrounding road material. If the boards get too hot, components fail—a problem that has already been observed in prototype systems.

Predicting how hot each component on a circuit board will get …

Mining Time Series Shapelets And Association Rules For Solar Flare Prediction, Drew Watson

All Graduate Theses and Dissertations, Fall 2023 to Present

Solar flares are the largest explosions in the solar system; they are caused by changes in the Sun’s magnetic field. Strong solar flares can disrupt power systems, damage satellites, and interfere with radio communication, so improving flare prediction is important. This thesis develops a way to predict severe solar flares while also helping researchers understand why those predictions are made. The approach looks for short patterns in solar magnetic field data that are linked to future flare activity. It then studies how these patterns appear together and in what order they happen over time. By doing this, the research not …

Multispecies Weed Detection Using Unmanned Aerial Vehicles And Deep Learning Object Detection Models In Utah Forage Crop Corn Field, Utsav Bhandari

All Graduate Theses and Dissertations, Fall 2023 to Present

Weeds cost global agriculture over $32 billion annually and reduce crop yields by nearly one-third. Current weed control relies heavily on spraying herbicides uniformly across entire fields, leading to herbicide-resistant weeds, environmental harm, and increasing costs for farmers. A smarter approach is detecting weeds from the air and spraying only where they are present. This could dramatically reduce herbicide use while protecting crop yields. This thesis developed a complete system for identifying weeds in corn fields using drone-captured images and artificial intelligence. Working in commercial forage corn fields in Cache Valley, Utah, high-resolution aerial images were collected and used to …

Spatial Prediction Under Uncertainty: Methodological And Computational Advances In Bayesian Maximum Entropy, Kinspride K. Duah

All Graduate Theses and Dissertations, Fall 2023 to Present

Environmental decisions such as infrastructure design, water management, and snow load estimation depend on spatial data that are often incomplete or uncertain. In many cases, measurements are not exact values but ranges, reflecting limitations in data collection methods. Traditional mapping techniques typically simplify these uncertain measurements, which can lead to less accurate predictions. This dissertation introduces improved statistical tools for making spatial predictions when data are uncertain or partially known. By utilizing a framework called Bayesian Maximum Entropy (BME), this research demonstrates how exact measurements and range-based data can be combined in a mathematically consistent way. The work demonstrates that …

Toward Risk-Informed Design Of Supercooling Heat Exchangers: Statistical Inference And Experimental Investigation Of Heterogeneous Ice Nucleation, Daniel B. Gardner

All Graduate Theses and Dissertations, Fall 2023 to Present

Ice-based cooling storage systems can reduce electricity costs and grid strain by making ice during off-peak hours and using it for air conditioning during the day. One promising design works by chilling water below its freezing point as it flows through a heat exchanger, then allowing it to freeze in a separate storage tank. The challenge is that the chilled water can freeze prematurely inside the heat exchanger itself, blocking the flow and shutting the system down. Preventing this unwanted freezing requires understanding how and where ice begins to form on surfaces, a process called nucleation.

This dissertation investigates ice …

Unifying And Expanding Global And Local Variable Importance Methods For Explainable Machine Learning, Kelvyn K. Bladen

All Graduate Theses and Dissertations, Fall 2023 to Present

Machine learning methods are powerful analytical tools used across all scientific disciplines and many other fields of investigation for prediction and inference from diverse data sources. Despite their broad applicability, machine learning methods are often highly complex and difficult to interpret. Developing a greater understanding of which variables most influence a response is essential for increasing the interpretability of these models and supporting informed decision-making. This research focuses on improving how we evaluate the importance of these variables.

One common approach is to shuffle the values of a variable and see how much the model accuracy gets worse. Another approach …

Sensitivity Analysis Of A Low-Power Wireless Capacitive Charging System To Inform Thermal Limitations And Battery Size Reduction Potential For Electric Passenger Vehicles, Karmen Teuscher

All Graduate Theses and Dissertations, Fall 2023 to Present

The purpose of using electric vehicles instead of internal combustion engine vehicles that burn gas is to reduce pollutants in the air and potential environmental impacts such as climate change. EVs produce much less air pollutants than ICEVs but manufacturing the EV batteries and the repeated recharging still contributes to the overall air pollution.

Capacitive power transfer systems can wirelessly charge vehicles through the road as they drive along highways or stop at traffic lights. If vehicles charge as they drive, an opportunity opens to reduce the size of the battery while maintaining the same driving range. Reducing the size …

The Impact Of Early Exposure To Engineering Concepts In The Form Of Family, School Classes, And Stem Extracurriculars On The Long-Term Sense Of Belonging In Undergraduate Women In Engineering, Hannah Lloyd

All Graduate Theses and Dissertations, Fall 2023 to Present

Engineering continues to struggle with the underrepresentation of women, and many women who begin engineering programs report feeling isolated or uncertain about whether they belong. A strong sense of belonging has been linked to greater confidence, persistence, and success in engineering. This study examined how early experiences with engineering before college may influence students' sense of belonging later in their undergraduate engineering programs.

Using survey responses from undergraduate engineering students across the United States, this study explored several types of early exposure to engineering, including family influence, school-based engineering and STEM courses, extracurricular programs such as robotics clubs and engineering …

Advancing Management Strategies For Two Promising Mason Bee Species (Osmia Ribifloris And Osmia Bruneri) For Berry Pollination, Miranda L. Jones

All Graduate Theses and Dissertations, Fall 2023 to Present

Bee management can broadly refer to human manipulation of one or multiple parts of a bee’s lifecycle. Managing honey bees, commonly referred to as beekeeping, is responsible for providing most pollination for global food crops. However, using more than one bee species for crop pollination can have many benefits. Benefits include better crop pollination and insurance in case one bee species underperforms or its population collapses. Some bees within the genus Osmia are already widely managed for crop pollination because their developmental lifecycle allows bee managers to readily deploy pollinating bees in sync with varying crop blooms, and for certain …

Visualizing The Phase Space Of Two Interacting Spherical Magnets Via Lagrangian Descriptors, Matthew Pontius

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis studies the motion of one spherical magnet sliding on another fixed spherical magnet. Although the setup is simple, the resulting motion can range from regular and predictable to chaotic as the energy increases. To understand this behavior, mathematical tools are used to visualize how all possible motions are organized in phase space. These methods reveal patterns such as stable regions, repeating motions, and chaotic trajectories. The results show how order and chaos coexist in this system and provide insight into how small changes in the initial conditions can lead to very different outcomes.

Comparing Error Correction Strategies In Discrete Trial Training For Children With Autism, Rachael Litchford

All Graduate Theses and Dissertations, Fall 2023 to Present

Children diagnosed with Autism Spectrum Disorder (ASD) often require structured, evidence-based teaching methods to promote skill acquisition. Discrete Trial Training (DTT) is one such approach widely used in Applied Behavior Analysis (ABA) to teach skills through repeated learning opportunities. However, limited research has compared the efficiency of specific error correction procedures within DTT. This study examined the comparative effectiveness of two error correction strategies, Active Student Response (ASR) and Model-Only, when acquiring tacting skills for children ages 2-10 with ASD. An alternating treatments design (ATD) was used to evaluate each strategy’s impact on skill acquisition, as measured by the percentage …

The Impact Of Ai On The Landscape Design Process, Jacob Owen Huff

All Graduate Theses and Dissertations, Fall 2023 to Present

Artificial intelligence (AI) is becoming more common in design fields, including landscape architecture. For example, AI has been used to visually analyze park aesthetics and generate landscape design concepts (Jahani et al., 2022; Senem et al., 2023; Ploennigs & Berger, 2023). This study explores how AI, specifically an image-generation tool called Midjourney, affects the design process for landscape architecture students.

Students completed two design projects—one using AI-generated images and one using traditional, non-AI precedent images. Their final designs were evaluated by professional landscape architects who did not know which designs had been influenced by AI. Students also completed surveys about …

Using A Prerequisite Skills Assessment To Identify Effective Communication Modalities For Mand Training, Christine White

All Graduate Theses and Dissertations, Fall 2023 to Present

Many children with Autism Spectrum Disorder (ASD) need support to learn how to communicate their wants and needs. This study examined three different ways to teach children to request preferred items or activities: using sign language, exchanging pictures, and speaking. We compared how three children learned each communication method to determine whether their existing skills influenced which method was most effective. No clear relationship was found between children's existing abilities and how well they learned each communication method. These findings suggest that selecting the most effective communication approach may require considering each child's individual strengths and learning history rather than …

Asynchronous Intervention For Students With Disabilities On Career Awareness, Erica Rood

All Graduate Theses and Dissertations, Fall 2023 to Present

Historically, students with disabilities have fewer opportunities to prepare for post-high school life, and this is especially true when it comes to getting a job. This is also true for those students with complex support needs (i.e., autism spectrum disorder, intellectual disability, other health impairment). One way to help individuals with disabilities have greater success after high school is to teach them about different careers.

This study was for high school students with disabilities who have complex support needs. It focused on helping them learn about different careers through online modules. The study looked at whether this type of learning …

Pavlovian Conditioning And Self-Control: From Laboratory To Classroom Application, Saba Mahmoudi

All Graduate Theses and Dissertations, Fall 2023 to Present

Impulsive choice, the preference for a smaller-sooner reward (SSR) over a larger-later reward (LLR), is associated with various challenging behaviors (e.g., gambling and substance-used disorders). Many interventions can reduce impulsive choice but those that produce long-lasting effects typically require long training durations or are difficult to implement in applied settings. This dissertation evaluated a novel Pavlovian training approach designed to promote self-control. In Experiment 1, procedures from Mahmoudi and Madden (2024) were replicated in the laboratory with the addition of a truly random control group. The study also assessed whether presenting the conditioned stimulus (CS) before a choice would increase …

Integrated Soil-Water Processes And Irrigation Management For Agricultural Water Optimization In Semi-Arid Regions, Tejinder Singh

All Graduate Theses and Dissertations, Fall 2023 to Present

Water is one of the most important resources for agriculture in the western United States. In semi-arid regions, farmers depend on irrigation to grow crops, but water supplies are becoming less reliable because of drought, declining snowpack, groundwater depletion, and increasing competition for limited water. Improving agricultural water use is therefore not simply about applying less water. It also requires understanding where water goes after it enters a field, how long it remains available to crops, and how farmers can use that information to make better irrigation decisions. This dissertation follows water through irrigated agricultural systems to better understand how …

Applications Of Machine Learning To Gas Plume Analysis In Longwave Infrared Hyperspectral Images, Scout C. Jarman

All Graduate Theses and Dissertations, Fall 2023 to Present

Each pixel from a hyperspectral camera measures the intensity of light over a continuous range of wavelengths, which is in contrast to traditional color cameras, which just measure the intensity of red, green, and blue wavelengths of light. Longwave infrared hyperspectral images can be used to detect gases from a distance by measuring how different materials emit and absorb heat. This makes them useful for applications such as monitoring industrial emissions or locating hazardous gas leaks. In practice, however, gas signatures in these hyperspectral images are often weak and easily obscured by variations in the background scene, making reliable identification …