Digital Commons Network^™

Investigating Relationships Among Measures Of English And Chinese Handwriting Fluency In Early-Elementary Chinese Dual Language Immersion Students, Petra Mei Wah Sin Chou

All Graduate Theses and Dissertations, Fall 2023 to Present

The purpose of this study was to investigate the relationships between English and Chinese handwriting fluency measures in early-elementary Chinese Dual Language Immersion students. This was done by conducting five handwriting fluency tasks among Chinese Dual Language Immersion students and comparing the findings. First, the findings showed that there was a moderate correlation between the participants' English and Chinese handwriting fluencies and that English fluencies predicted Chinese fluencies. However, the students could write English numbers and letters much faster than Chinese characters. Second, as expected, Chinese DLI participants showed that handwriting fluency improved as grade level increased. Third, third-grade students …

Development, Implementation, And Optimization Of A Modern, Subsonic/Supersonic Panel Method, Cory D. Goates

All Graduate Theses and Dissertations, Fall 2023 to Present

In the early stages of aircraft design, engineers consider many different design concepts, examining the trade-offs between different component arrangements and sizes, thrust and power requirements, etc. Because so many different designs are considered, it is best in the early stages of design to use simulation tools that are fast; accuracy is secondary. A common simulation tool for early design and analysis is the panel method. Panel methods were first developed in the 1950s and 1960s with the advent of modern computers. Despite being reasonably accurate and very fast, their development was abandoned in the late 1980s in favor of …

The Caboose By A Longshot: Impact Of Large Age Gaps On Youngest Siblings, Kelly Clark Young

All Graduate Theses and Dissertations, Fall 2023 to Present

Siblings play a large role in developmental experiences and views of oneself. However, most research addressing siblings looks at individuals who grow up close in age with their siblings. What is currently known about sibling relationships does not seem to fit for those who have siblings but are not close in age to them, referred to in this study as a sibling age gap.

To learn more about what it was like to grow up with siblings who are much older, I interviewed 11 individuals who were the youngest siblings in their family and five or more years younger than …

Fire And Flow: Assessing The Long-Term Effects Of Wildfires And Impact Of High Flow Events On Phosphorus Concentrations In Mountain Streams, Rachel Watts

All Graduate Theses and Dissertations, Fall 2023 to Present

Climate change has led to significant shifts in the Earth’s weather patterns, often leading to longer, more intense droughts, irregular but extreme storms, and more severe wildfires with longer burn durations. These weather pattern changes have frequently led to shifts in ecosystem dynamics, impacting aspects such as nutrient flux, species diversity, and overall habitat health. Regarding nutrient flux specifically, changes in phosphorus (P) concentrations can negatively impact stream systems as elevated levels can lead to toxic algal blooms, which can cause habitat degradation, loss of usable recreational areas, and large fish kills. A common trigger of these P spikes is …

Subjective Wellbeing Of Undergraduate Engineering Students: A Mixed Methods Study, Muhammad Asghar

All Graduate Theses and Dissertations, Fall 2023 to Present

In higher education, the prevalence of mental health issues among students has raised concerns regarding their overall success and wellbeing. While existing research often focuses on identifying and addressing mental health problems, there is a lack of emphasis on understanding the positive contributors to students' mental health. In this study, I expand the concept of mental health beyond the absence of negative mental health states to include the presence of positive mental health aspects through the concept of Subjective Wellbeing (SWB) (feeling that your life is going well, not badly), of engineering undergraduate participants. Both qualitative and quantitative data were …

Consensus Modeling As A Cultural Practice: A Case Study From A Seventh-Grade Science Classroom, Sara Louise Miconi Gailey

All Graduate Theses and Dissertations, Fall 2023 to Present

Recent reforms in science education aim to involve K-12 students in practices similar to those of professional scientists. These reforms promote student collaboration and science practices including developing models and engaging in scientific argumentation with evidence. Small group work in science classrooms has increased following the reforms. However, while small group collaboration has gained popularity, research suggests that it does not always lead to equitable participation. This qualitative case study uses discourse analysis to examine how two small groups of students in a seventh-grade science class develop consensus models of a phenomenon and how students are socialized to participate in …

Investigating K-3 Spanish Dual Language Immersion Teachers' Conceptions Of Mathematics-Focused Content-Based Language Teaching, Rachel C. Reeder

All Graduate Theses and Dissertations, Fall 2023 to Present

Classroom instruction is influenced by and reflects teachers’ conceptions about their teaching. In elementary Dual Language Immersion (DLI) classrooms, teachers deliver mathematics and target-language instruction with the expectation that both can be developed concurrently. This qualitative study investigated K-3 Spanish DLI teachers’ conceptions about Mathematics-Focused Content-Based Language Teaching (MF-CBLT), which emphasizes the instructional parameters guiding teachers’ integration of content (mathematics), language (Spanish), and teaching (pedagogy).

The study examined 11 teachers’ statements and teaching samples to investigate their knowledge, beliefs, and preferences (i.e., conceptions) about MF-CBLT. A survey and individual teacher interviews provided access to what teachers had to say while …

Did Arroyo Formation Impact The Occupation Of Snake Rock Village, A Fremont Dryland Agricultural Community In Central Utah, Ca. Ad 1000–1200?, Alexandra Wolberg

All Graduate Theses and Dissertations, Fall 2023 to Present

Fremont farmers of the northern Colorado Plateau grew maize at the limits for cultivation in western North America between AD 300–1300. Like other Indigenous farmers throughout the American Southwest, Fremont farmers used bundled agricultural niches where alluvial floodplains were the largest available site for cultivation. But dryland floodplains are a risk to the persistence of farming communities because the development of steep-sided arroyos lowers floodplain surfaces and water tables, rendering them unusable for growing maize. This study tests the relationship between the occupational timing of Snake Rock Village between AD 970–1240 and the formation of a 4.5m deep arroyo on …

Deep Learning With Effective Hierarchical Attention Mechanisms In Perception Of Autonomous Vehicles, Qiuxiao Chen

All Graduate Theses and Dissertations, Fall 2023 to Present

Autonomous vehicles need to gather and understand information from their surroundings to drive safely. Just like how we look around and understand what's happening on the road, these vehicles need to see and make sense of dynamic objects like other cars, pedestrians, and cyclists, and static objects like crosswalks, road barriers, and stop lines.

In this dissertation, we aim to figure out better ways for computers to understand their surroundings in the 3D object detection task and map segmentation task. The 3D object detection task automatically spots objects in 3D (like cars or cyclists) and the map segmentation task automatically …

Understanding The Effects Of A Mobile Flow Visualization Learning Tool On Engineering Undergraduate Interest In Fluid Mechanics, Lori M. Openshaw

All Graduate Theses and Dissertations, Fall 2023 to Present

Fluid mechanics is a difficult engineering course that tends to act as a weed-out course for undergraduate students. Despite this, fluid mechanics is critical, with related careers in disciplines such as Mechanical, Aerospace, Civil, Environmental, Biological, Ocean, and Naval engineering. Within these fields, there is a lack of graduates with sufficient fluid mechanics knowledge to fill the available positions. One solution to this career pipeline is to increase student interest and understanding of fluid mechanics.

Efforts to make fluid mechanics more interesting and easily understood include curricular changes such as emphasizing historical aspects of fluids, computer simulations that model complex …

Cost Minimizing Energy Management Control Scheme For Microgrids Considering Dynamic Electricity Prices, Levi T. Miller

All Graduate Theses and Dissertations, Fall 2023 to Present

As countries develop and technology improves, the world is using more energy than ever before. This fact along with several other political, social, and economic factors has resulted in simultaneous energy and climate crises. A partial solution to both problems is bringing clean energy sources of electricity closer to the customers who use that energy. A microgrid is a smaller version of the national electric grid where smaller electricity generators are networked with local consumers and controlled independently of the main grid. Because control of electricity sources and loads are transferred to local controllers, the flexibility with which they can …

Quantifying The Effect Of Stable Stratification On Low-Reynolds Number Flow Past A Horizontal Cylinder, Holland Kartchner

All Graduate Theses and Dissertations, Fall 2023 to Present

In this research, we study the behavior of flow around a cylinder in the presence of stable stratification, which refers to variations in density throughout the fluid. This phenomenon is observed in natural and industrial settings. We use computer simulations to analyze how stratification affects the flow patterns created by the cylinder. Specifically, we investigate situations where the stratification is perpendicular to the flow direction, and the wake exhibits two-dimensional characteristics. We use spectral-element method based computational fluids dynamics to simulate the phenomena. During the simulations, we vary two important parameters: the Densimetric Froude Number (Fr) and the …

Dominant Cognitive Strategy In Aphantasia, Sarah N. Pope

All Graduate Theses and Dissertations, Fall 2023 to Present

The purpose of this research was to explore the impact on thinking when an individual is not able to "see with a mind's eye." This is known as aphantasia and is the reduction or absence of visual imagery, which can have large impacts on problem solving and remembering one's own past. The current study examines these impacts by exploring the different ways in which thinking may occur, verbal-analytical, visual imagery, spatial imagery, and how a one's dominant thinking strategy affects performance on a paired work task, a mental rotation task, and an object memory task. Comparing those with typical imagery …

Adversarially Reweighted Sequence Anomaly Detection With Limited Log Data, Kevin Vulcano

All Graduate Theses and Dissertations, Fall 2023 to Present

In the realm of safeguarding digital systems, the ability to detect anomalies in log sequences is paramount, with applications spanning cybersecurity, network surveillance, and financial transaction monitoring. This thesis presents AdvSVDD, a sophisticated deep learning model designed for sequence anomaly detection. Built upon the foundation of Deep Support Vector Data Description (Deep SVDD), AdvSVDD stands out by incorporating Adversarial Reweighted Learning (ARL) to enhance its performance, particularly when confronted with limited training data. By leveraging the Deep SVDD technique to map normal log sequences into a hypersphere and harnessing the amplification effects of Adversarial Reweighted Learning, AdvSVDD demonstrates remarkable efficacy …

Surface Water Hydrology Within The Great Salt Lake Basin, Madeline F. Merck

All Graduate Theses and Dissertations, Fall 2023 to Present

The Great Salt Lake (GSL) and its tributaries are ecologically and economically important resources for Utah. It is a highly saline lake, with salinity that is several times saltier than the ocean. Lake uses are heavily influenced by its salinity and lake level and, similarly, river uses by its streamflow quantity. Currently, the GSL Basin is experiencing changes that affect tributary inflows, lake level, and salinity. For my dissertation and in support of better lake management, I addressed important gaps in our understanding of the lake and the changes it is undergoing.

Chapter 2 is an examination of the distribution …

Modeling Elementary Students' Computer Science Outcomes With In-School And Out-Of-School Factors, Umar Shehzad

All Graduate Theses and Dissertations, Fall 2023 to Present

This two-paper dissertation explores factors influencing the attitudes of Grade 5 students who are learning computer science (CS) in schools. It statistically examines the effects of out and in-school factors on students’ attitudes toward computing. The first paper of this dissertation examines the influence of parental support as perceived by the students on their interest and their self-assessed ability to engage in computer programming, thus underscoring the crucial role of parental support on learners’ attitudes. It also investigates how involving families in CS activities by sending a CS-themed board game influences students’ interest. The study finds that perceptions of parental …

Optimal Stopping Of Multi-Robot Exploration For Unknown, Bounded Environments, Trey D. Crowther

All Graduate Theses and Dissertations, Fall 2023 to Present

Limited resources and uncertainty pose a substantial problem for multi-robot exploration of unknown environments. This research paper looks to determine the optimal time to terminate robot exploration while maximizing information gathered. Whilst making this determination, the system's resources and capabilities must be taken into account. To see if our strategy works, we ran many simulations in varying environments. The results of this research are important for real-world uses like robot exploration, search and rescue missions, and automated surveillance. Determining when to stop exploring can help the system save resources, explore faster, and make better decisions.

Analysis Of Student Behavior And Score Prediction In Assistments Online Learning, Aswani Yaramala

All Graduate Theses and Dissertations, Fall 2023 to Present

Understanding and analyzing student behavior is paramount in enhancing online learning, and this thesis delves into the subject by presenting an in-depth analysis of student behavior and score prediction in the ASSISTments online learning platform. We used data from the EDM Cup 2023 Kaggle Competition to answer four key questions. First, we explored how students seeking hints and explanations affect their performance in assignments, shedding light on the role of guidance in learning. Second, we looked at the connection between students mastering specific skills and their performance in related assignments, giving insights into the effectiveness of curriculum alignment. Third, we …

Movement Patterns Of A Federally Endangered Minnow In A Fragmented Desert River, Martinique J. Chavez

All Graduate Theses and Dissertations, Fall 2023 to Present

Fishes are unified in their need to move within the systems they occupy, and their movement patterns can be fundamental to their ecology and survival. Many large rivers in North America are fragmented by dams that modify natural flow regimes, compromise connectivity, and imperil freshwater fishes dependent on unrestricted movement in order to complete their life history. Coincident with widespread river fragmentation, are the declines of numerous endemic desert fishes in the American southwest. The Rio Grande Silvery Minnow (Hybognathus amarus, RGSM), has experienced a 95% reduction in its historical range and is now restricted to a highly …

Solar Flare Prediction From Extremely Imbalanced Multivariate Time Series Data Using Minimally Random Convolutional Kernel Transform, Kartik Saini

All Graduate Theses and Dissertations, Fall 2023 to Present

Solar flares are characterized by sudden bursts of electromagnetic radiation from the Sun's surface, and caused by the changes in magnetic field states in solar active regions. Earth and its surrounding space environment can suffer from various negative impacts caused by solar flares ranging from electronic communication disruption to radiation exposure-based health risks to the astronauts. In this paper, we address the solar flare prediction problem from magnetic field parameter-based multivariate time series (MVTS) data using multiple state-of-the-art machine learning classifiers that include MINImally RandOm Convolutional KErnel Transform (MINIROCKET), Support Vector Machine (SVM), Canonical Interval Forest (CIF), Multiple Representations SEQuence …

Impact Of Moisture Content And Composition On Flow Properties Of Dairy Powders, Katelynn Palmer

All Graduate Theses and Dissertations, Fall 2023 to Present

Milk protein concentrate (MPC) and isolate (MPI), and milk permeate powder (MPP) are functional dairy powder products that are used in food applications worldwide. It is critical that environmental factors and physical powder characteristics during production and storage are controlled. When dairy powders are exposed to non-ideal conditions (high moisture, varying temperatures,) they can quickly become very sticky, and clumpy. When powders become sticky, their ability to easily flow is reduced. As a result, processing and storing the powders effectively and sustainably becomes very difficult.

In the first study, an analysis method was created to test the general flow behavior …

Reducing Inputs And Adding Value To Turfgrass Systems Through Clover Inclusion And Plant Growth-Promoting Rhizobacteria Applications, Paige E. Boyle

All Graduate Theses and Dissertations, Fall 2023 to Present

Recently, the US has seen an expansion in the amount of turfgrass land cover (lawns, parks, roadsides, sports fields, and golf courses), as well as an interest in reducing fertilizer, water, and pesticide use in these grass systems. To help maintain quality and function while reducing resource inputs, two promising approaches have emerged: planting clover into lawns and applying plant growth-promoting rhizobacteria.

White clover and grass mixtures have been studied for their ability to cut down on fertilizer usage and provide a uniform, dark green lawn, but other clover types have not been as widely studied and may provide similar …

Using Gamification To Foster Student Resilience And Motivation To Learn, And Using Games To Teach Significance Testing Concepts In The Statistics Classroom, Todd Partridge

All Graduate Theses and Dissertations, Fall 2023 to Present

Two studies are outlined in this dissertation.

In the first study, elements of Super Mario Bros. videos games were used to change the way college students in a beginners’ statistics course were graded on their work. This was part of an effort to help students remain optimistic in the face of challenging coursework and even failure on assignments and tests. The study shows that the changes made to the grading structure did help students to keep trying and to use the materials given to them by their professor until they achieved their desired grade in the course, and suggests ways …

Designing And Studying Redox-Active Molecules For Energy Storage And Desalination, Wenda Wu

All Graduate Theses and Dissertations, Fall 2023 to Present

Since the fast growth of the global population, energy scarcity has become a new threat to modern society. Those commonly seen resources like fossil, coal, and natural gas are nonrenewable energies, which cannot be replenished by human-scale time. In contrast, wind, solar, and hydropower are the three main renewable green energies under development with great efforts around the world. However, the intermittent character of these powers raises a new question: how to store them properly on large scales? By 2021, more than 90% of the electricity storage was taken by Lithium-ion batteries (LIBs). The usage of lithium brings concerns about …

Climate Change-Driven Cumulative Mountain Pine Beetle-Caused Whitebark Pine Mortality In The Greater Yellowstone Ecosystem, William W. Macfarlane, Brian Howell, Jesse A. Logan, Ally L. Smith, Cashe C. Rasmussen, Robert E. Spangler

Watershed Sciences Faculty Publications

An aerial survey method called the Landscape Assessment System (LAS) was used to assess mountain pine beetle (Dendroctonus ponderosae)-caused mortality of whitebark pine (Pinus albicaulis) across the Greater Yellowstone Ecosystem (59,000 km²; GYE). This consisted of 11,942 km of flightlines, along which 4434 geo-tagged, oblique aerial photos were captured and processed. A mortality rating of none to severe (0–4.0 recent attack or 5.0–5.4 old attack) was assigned to each photo based on the amount of red (recent attack) and gray (old attack) trees visible. The method produced a photo inventory of 74 percent of …

Curriculum Subcommittee Agenda December 7, 2023, Utah State University

Educational Policies Committee

• Program Proposals
• Semester Course Approval Reviews
• Other Business
• Adjourn

Data From: Climate Change-Driven Cumulative Mountain Pine Beetle-Caused Whitebark Pine Mortality In The Greater Yellowstone Ecosystem, William W. Macfarlane

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In 2018-2019 the Landscape Assessment System (LAS), an aerial survey method was used to assess mountain pine beetle (Dendroctonus ponderosae; MPB) - caused mortality of whitebark pine (Pinus albicaulis) across the Greater Yellowstone Ecosystem (59000 km2; GYE). This consisted of 11,942 km of flightlines, along which 4,434 geo-tagged, oblique aerial photos were captured and processed. A mortality rating of none to severe (0 to 4 nt attack or 5.0 5.4 old attack) was assigned to each photo based on the amount of red (recent attack) and gray (old attack) trees visible. The method produced a photo inventory of 74 percent …

Data From: Root Distributions Predict Shrub-Steppe Responses To Precipitation Intensity, Andrew Kulmatiski, Karen H. Beard

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Precipitation events are becoming more intense around the world, changing the way water moves through soils and plants. Plant rooting strategies that sustain water uptake under these conditions are likely to become more abundant (e.g., shrub encroachment). Yet, it remains difficult to predict species responses to climate change because we typically do not know where active roots are located or how much water they absorb. Here, we applied a water tracer experiment to describe forb, grass, and shrub root distributions. These measurements were made in 8 m by 8 m field shelters with low or high precipitation intensity. We used …

Dynamics And Scaling Of Particle Streaks In High-Reynolds-Number Turbulent Boundary Layers, Tim Berk, Filippo Coletti

Mechanical and Aerospace Engineering Faculty Publications

Inertial particles in wall-bounded turbulence are known to form streaks, but experimental evidence and predictive understanding of this phenomenon is lacking, especially in regimes relevant to atmospheric flows. We carry out wind tunnel measurements to investigate this process, characterizing the transport of microscopic particles suspended in turbulent boundary layers. The friction Reynolds number Re_𝜏 = O(10⁴) allows for significant scale separation and the emergence of large-scale motions, while the range of viscous Stokes number St⁺ = 18–870 is relevant to the transport of dust and fine sand in the atmospheric surface layer. We …

“...I Have My Dad, Sister, Brother, And Mom’S Password”: Unveiling Users’ Mental Models Of Security And Privacy-Preserving Tools, Prakriti Dumaru, Ankit Shrestha, Rizu Paudel, Cassity Haverkamp, Maryellen Mcclain Verdoes, Mahdi Nasrullah Al-Ameen

Computer Science Student Research

Purpose: Security and privacy-preserving tools (for brevity, we term them as ‘security tools’ in this paper, unless otherwise specified) are designed to protect the security and privacy of people in the digital environment. However, inappropriate use of these tools can lead to unexpected consequences that are preventable. Hence, it is significant to examine why users do not understand the security tools.

Methodology: We conducted a qualitative study with 40 participants in the USA to investigate the prevalent misconceptions of people regarding security tools, their perceptions of data access, and the corresponding impact on their usage behavior and data protection strategies. …