Digital Commons Network^™

Ianova: Multi-Sample Means Comparisons For Imprecise Interval Data, Zachary Rios

All Graduate Theses and Dissertations, Fall 2023 to Present

In recent years, interval data has become an increasingly popular tool to solve modern data problems. Intervals are now often used for dimensionality reduction, data aggregation, privacy censorship, and quantifying awareness of various uncertainties. Among many statistical methods that are being studied and developed for interval data, the significance test is particularly of importance due to its fundamental value both in theory and practice. The difficulty in developing such tests mainly lies in the fact that the concept of normality does not extend naturally to interval data (due the range of an interval being necessarily non-negative), causing the exact tests …

Artificial Intelligence In Landscape Architecture: A Survey Of Theory, Culture, And Practice, Phillip J. Fernberg

All Graduate Theses and Dissertations, Fall 2023 to Present

This dissertation explores the role of artificial intelligence (AI) in shaping the landscape architecture profession. It looks at how AI has evolved in the field, its current influence, and its potential to change research, teaching, and professional practice. The research includes a detailed review of existing literature to identify trends in AI applications and gaps in knowledge. It also examines landscape architects' attitudes towards AI, revealing a mix of enthusiasm for its benefits and concerns about its impact on creativity and design processes, and proposes new ways of thinking about and working with AI. The work brings a unique perspective …

A Comprehensive Uncertainty Quantification Methodology For Metrology Calibration And Method Comparison Problems Via Numeric Solutions To Maximum Likelihood Estimation And Parametric Bootstrapping, Aloka B. S. N. Dayarathne

All Graduate Theses and Dissertations, Fall 2023 to Present

In metrology, the science of measurements, straight line calibration models are frequently employed. These models help understand the instrumental response to an analyte, whose chemical constituents are unknown, and predict the analyte’s concentration in a sample. Techniques such as ordinary least squares and generalized least squares are commonly used to fit these calibration curves. However, these methods may yield biased estimates of slope and intercept when the calibrant, substance used to calibrate an analytical procedure with known chemical constituents (x-values), carries uncertainty. To address this, Ripley and Thompson (1987) proposed functional relationship estimation by maximum likelihood (FREML), which considers uncertainties …

Investigating The Impact Of Pre-Professional Organization Participation On Undergraduate Technology And Engineering Education Student Retention And Interest In Teaching, Emily Yoshikawa-Ruesch

All Graduate Theses and Dissertations, Fall 2023 to Present

The field of Technology and Engineering Education (TEE) has evolved in name and content throughout its existence. Throughout these evolutions, the number of TEE programs across the United States have decreased along with a decrease in the number of students graduating from undergraduate TEE programs. Previous investigations into the recruitment of TEE students have identified social interactions with TEE program faculty and technology and engineering educators as influential in students' interest in teaching technology and engineering at the secondary level. This study sought to investigate how social interactions through participation in Technology and Engineering Educators Association (TEECA), as a community …

Assessing Extant Methods For Generating G-Optimal Designs And A Novel Methodology To Compute The G-Score Of A Candidate Design, Hyrum John Hansen

All Graduate Theses and Dissertations, Fall 2023 to Present

Experimental designs are used by scientists to allocate treatments such that statistical inference is appropriate. Most traditional experimental designs have mathematical properties that make them desirable under certain conditions. Optimal experimental designs are those where the researcher can exercise total control over the treatment levels to maximize a chosen mathematical property. As is common in literature, the experimental design is represented as a matrix where each column represents a variable, and each row represents a trial. We define a function that takes as input the design matrix and outputs its score. We then algorithmically adjust each entry until a design …

An Investigation Of The Essential Nature Of Advanced Placement Students' Psychological Safety And Participation In Mathematics Class Discourse, Vicki A. Lyons

All Graduate Theses and Dissertations, Fall 2023 to Present

All students need to feel that their classes are safe spaces where they can explore and discuss their ideas. When students do not feel free to share their reasoning or understandings without fear of negative personal or social consequences, they may intentionally limit their participation in discussions. This study investigated the relationship between Advanced Placement Calculus students' perceived feelings of psychological safety and their professed level of participation in class mathematics discourse, as well as the reasons why they would choose their particular level of participation. Findings indicated that these students generally liked to share their ideas because they wanted …

Empowering Graphics: A Distributed Rendering Architecture For Inclusive Access To Modern Gpu Capabilities, Taylor Anderson

All Graduate Theses and Dissertations, Fall 2023 to Present

Modern rendering software requires powerful GPUs with the latest hardware features in order to utilize all of the newest rendering techniques. Many users do not have access to this hardware, and rely on remote server farms or reduced performance to achieve usable results. In this thesis, the software is designed and created to allow for a user to share the resources of their computer with another, modeling a split-screen setup like was common in the past, but without requiring users to be in the same location.

By designing the software from the ground up to support this, instead of adding …

Development, Modeling, Identification, And Control Of Tilt-Rotor Evtol Aircraft, Clayton T. Spencer

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis includes the development, modeling, identification, and control of an electric-Vertical-Take-Off-and-Landing (eVTOL) aircraft with tiltable rotors. The front two rotors have tilting capability for transition flight from vertical-take-off to forward-level flight. This work details the development of an eVTOL aircraft and the selection of sub components such as electric motors, batteries, and controllers. After the aircraft build, mathematical model is derived to describe the motion of the aircraft. Unknown parameters in the mathematical model are identified using a Least-Squares-regression (LSR) method that can handle parameter constraints. This is done using real flight data collected from the aircraft. Lastly, this …

El Nino Prediction At 1- And 3- Year Lead Times Driven By The Western North Pacific Precursor And Their Impacts, Krishna Borhara

All Graduate Theses and Dissertations, Fall 2023 to Present

The El Niño–Southern Oscillation (ENSO) is a climate variability characterized by fluctuations in the atmospheric and upper ocean conditions of the tropical Pacific Ocean that result in either warmer- or colder-than-average sea surface temperatures (SST) in the tropical eastern Pacific. These changes cause variations in weather and climate in distant locations through large-scale atmospheric circulation patterns. These variations often manifest in form of adverse effects or extremes such as heat waves, droughts, or floods, making efforts towards improving ENSO prediction critical in mitigating its impact on various sectors. This dissertation focuses on how interactions between the atmosphere and ocean in …

Environmental Factors Associated With Triploid Aspen Occurrence In Intermountain West Landscapes, James A. Walton

All Graduate Theses and Dissertations, Fall 2023 to Present

Polyploidy is common among plants and can contribute to physiological and morphological differences, altering how plants respond to environmental changes, promoting genetic diversification and even species radiation. Quaking aspen (Populus tremuloides), a keystone species associated with high plant and animal diversity is frequently found in mixed diploid/triploid populations in the Intermountain West. Triploid aspen carries an extra chromosomal copy, whereas the diploid type contains two chromosomal copies. High mortality rates and widespread population declines in aspen are of increasing concern in the Intermountain West, and often ascribed to changing climates and drought stress events. The goal of this …

Novel Kinetic Description Of Real-Time Polymerase Chain Reaction Characterizes Interrelated Effects Of Sample, Master Mix, And Cycle Time, David Tafur

All Graduate Theses and Dissertations, Fall 2023 to Present

Real-time quantitative polymerase chain reaction fluorescent curves are influenced by the quantification method, template length, primer sequence, polymerase activity, reaction conditions, and unwanted side reactions. Interpretation of these curves depends on understanding the subjacent mechanisms by which those factors can alter the curve profile, particularly on highly diluted analytes or impure samples. However, such factors are individually described today, or their interplay is not fully developed. The present work examines the effect of primer dimer formation and extension, resource competition, template reannealing, and polymerase thermodegradation, in addition to novel descriptions of polymerase competitive inhibition, extended primer amplification, and the probability …

An Expansive Framing Intervention And Its Influence On Nursing Students' Perceptions Of Value For Mathematics, Kimberly Evagelatos Beck

All Graduate Theses and Dissertations, Fall 2023 to Present

Nurses regularly use mathematics on the job, yet they often do not view their work as mathematical. This may indicate a lack of transfer from the nursing school mathematics context to nursing practice. Further, nursing students often perceive very little usefulness and relevance for learning mathematics beyond simple calculations. Expansive Framing (EF) is a theory and instructional technique that has been shown to foster transfer by establishing intercontextuality, or connections made between disparate contexts. This research explored whether creating intercontextuality created through broad framing also improved perceptions of mathematics value and transferability, and how intercontextuality functioned as the driver of …

The Coordination Of Multiple Mathematical Representations For Algebraic Functions In Secondary Mathematics Textbooks: A Content Analysis, Jet Viehweg Warr

All Graduate Theses and Dissertations, Fall 2023 to Present

Utilizing mathematical representations makes mathematical processes and thinking visible for the observer as well as the individual doing the mathematics. Mathematical representations have multifaceted meaning and is a critical area of research in mathematics education because of its role in conceptual understanding. Specifically, the Coordination of Multiple Mathematical Representations (CMMR) incorporates the mathematical practices and reasoning and communication skills. This study used content analysis to investigate CMMR for the study of algebraic functions in secondary mathematics textbooks during five eras of mathematics education in the U.S. from 1896 through 2016: Pre-New Math, New Math, Back-to-Basics, Standards Based Math/No Child Left …

How Relational Instruction And Caring Learning Environments Relate To Mathematics Self-Concept: A Multilevel Investigation Of The High School Longitudinal Study Of Data, Sandra J. Miles

All Graduate Theses and Dissertations, Fall 2023 to Present

The purpose of this research is to look for ways mathematics teachers can increase their students' mathematics self-concept (i.e., achievement, confidence, and interest). Many students avoid taking upper-level mathematics classes or pursuing careers in science, technology, engineering, or mathematics (STEM). However, the need for STEM professionals in the workforce will increase in future years and there is a projected shortage of students who will be trained to fill the demand. This research proposes that mathematics teachers can actively work to improve their students' self-concept by providing a caring and emotionally supportive learning environment as well as providing instruction that builds …

Simulating Ice Particle Properties Under Varying Electric Fields, Joseph Thomas Cooney

Undergraduate Honors Capstone Projects

In this study, the interactions between atmospheric water molecules and an electrically charged dust particle were simulated in python to determine the role of electric charge and electric fields in atmospheric ice formation. Multiple levels of electric charge were tested, corresponding to different strengths of atmospheric electric fields. The TIP4P-2005 model for water was used to simulate these molecules under the influence of a central electric potential to represent the charged dust particle. These included a control group with no electric field (0 C), a group under a fair-weather strength of electric field (1.6*10-14 C), a foul-weather electric field (1.6*10-12 …

Evaluating Taxonomic Approaches: A Comparative Study Of Educational Frameworks Applied To Mathematics Assessments, Lily Roth

Undergraduate Honors Capstone Projects

The design of effective assessments and reporting of a student’s achievement on learning objectives are often overlooked, leaving educational stakeholders lacking the ability to create meaningful evaluations. To assist in creating substantial mathematics assessments this work seeks to answer the following research questions: ‘How can educational taxonomies be utilized to improve the design of mathematics assessments’? and ‘What are the strengths and weaknesses of applying different taxonomies onto mathematics assessments?’. The purpose of this study is to (1) develop a practical design instrument for easier identification and categorization of assessment questions within each educational taxonomy structure and (2) evaluate the …

An Analysis Of Lyrical Repetition And Popularity In Popular Music Genres, Josh White

Undergraduate Honors Capstone Projects

This paper examines the correlation between repetitiveness and popularity in the genres of Christian, Country, EDM, Hip-Hop, Latin, Pop, R&B, and Rock. Repetitiveness is defined by the frequency of repeated words in lyrics, and the average number of streams per day defines popularity. This analysis also acknowledges the "popularity" metric provided by Spotify in calculating the correlation. To calculate this correlation, I wrote a program that accesses the Spotify and Genius APIs to gather metadata related to 76,069 songs from 1,246 artists, including data on repetitiveness, tempo, duration, and Spotify's audio metrics of "danceability," "energy," "speechiness," "acousticness," and "instrumentalness." I …

Multifidelity Comparison Of Supersonic Wave Drag Prediction Methods Using Axisymmetric Bodies †, Troy Abraham, David Lazzara, Douglas Hunsaker

Mechanical and Aerospace Engineering Student Publications and Presentations

Low-fidelity analytic and computational wave drag prediction methods assume linear aerodynamics and small perturbations to the flow. Hence, these methods are typically accurate for only very slender geometries. The present work assesses the accuracy of these methods relative to high-fidelity Euler, compressible computational-fluid-dynamics solutions for a set of axisymmetric geometries with varying radius-to-length ratios (R/L). Grid-resolution studies are included for all computational results to ensure grid-resolved results. Results show that the low-fidelity analytic and computational methods match the Euler CFD predictions to around a single drag count (~1.0 × 10^–4) for geometries with R/L ≤ 0.05 …

The Utah Statesman, April 29, 2024, Utah State University

The Utah Statesman

Weekly student newspaper of Utah State University in Logan.

Simulating Ice Particle Properties Under Varying Electric Fields, Joseph Cooney

Physics Capstone Projects

In this study, the interactions between atmospheric water molecules and an electrically charged dust particle were simulated in python to determine the role of electric charge and electric fields in atmospheric ice formation. Multiple levels of electric charge were tested, corresponding to different strengths of atmospheric electric fields. The TIP4P-2005 model for water was used to simulate these molecules under the influence of a central electric potential to represent the charged dust particle. These included a control group with no electric field (0 C), a group under a fair-weather strength of electric field (1.6*10-14 C), a foul-weather electric field (1.6*10-12 …

Priming Through Persuasion: Towards Secure Password Behavior, Rizu Paudel, Mahdi Nasrullah Al-Ameen

Computer Science Student Research

Users tend to create weak passwords even for the important accounts. The prior research shed light on user’s insecure password behavior, and why the interventions, including requirement specification (e.g., password composition policies) and feedback systems (e.g., password meters) fail in practice. To this end, we propose and evaluate the concept: priming-through-persuasion in the realm of secure password creation. In particular, we created visual designs, aimed at priming users about the repercussions of weak passwords before their password creation. We base our designs on two forms of persuasion methods: pathos and logos. Pathos appeals to people’s emotion in order to persuade …

“It’S Hard For Him To Make Choices Sometimes And He Needs Guidance”: Re-Orienting Parental Control For Children, Prakriti Dumaru, Hanieh Atashpanjeh, Mahdi Nasrullah Al-Ameen

Computer Science Student Research

With access to devices and online platforms at an increasingly younger age, it is essential to protect children from potential online risks. In our studies, we particularly focused the parents who have a child under 13 years of age. To this end, deriving from developmental psychology, we base our low-fidelity prototype design (termed as ‘treatment’) on a set of design principles focusing on open communication, instilling self-regulation, and availing granularity along with designs of existing Google’s parental control as a baseline. First, we conducted semi-structured interviews with 21 parents to understand their perceptions, including suggestions for design improvement within our …

Combining Empirical And Physics-Based Models For Solar Wind Prediction, Rob Johnson, Soukaina Filali Boubrahimi, Omar Bahri, Shah Muhammad Hamdi

Computer Science Faculty and Staff Publications

Solar wind modeling is classified into two main types: empirical models and physics-based models, each designed to forecast solar wind properties in various regions of the heliosphere. Empirical models, which are cost-effective, have demonstrated significant accuracy in predicting solar wind at the L1 Lagrange point. On the other hand, physics-based models rely on magnetohydrodynamics (MHD) principles and demand more computational resources. In this research paper, we build upon our recent novel approach that merges empirical and physics-based models. Our recent proposal involves the creation of a new physics-informed neural network that leverages time series data from solar wind predictors to …

Environmental Factors Associated With Triploid Aspen Occurrence In Intermountain West Landscapes, Karen E. Mock, James A. Walton

Browse all Datasets

Polyploidy is common among plants and can contribute to physiological and morphological differences, altering how plants respond to environmental changes, promoting genetic diversification, and even species radiation. Quaking aspen (Populus tremuloides), a keystone species associated with high plant and animal diversity is frequently found in mixed diploid/triploid populations in the Intermountain West. High mortality rates and widespread population declines in aspen are of increasing concern in the Intermountain West, often ascribed to changing climates and drought stress events. The goal of this study was to better understand environmental factors influencing the distribution of triploid aspen population in the Intermountain West. …

The Utah Statesman, April 15, 2024, Utah State University

The Utah Statesman

Weekly student newspaper of Utah State University in Logan.

Simulating Ice Nuclei Under Atmospheric Electric Fields, Joseph Cooney

Student Research Symposium

Orographic clouds generally form over mountains when valleys are sunny. The unstable atmosphere can trigger clouds over the mountains, which can be convective. When this happens, the cloud particles (water droplets and ice particles) become charged, ultimately creating ice crystals. In this study, we want to evaluate the impact of electricity on the formation of ice crystals and used a simulation to do so.

Variable Drought Impacts On Stream Habitat Across The Northwestern Us, Sophia Withers

Student Research Symposium

The United States has been in a continuous drought since 2002. Stream quality, specifically in the context of fish habitat, depends on many variables, including vegetation quality. Drought conditions affect vegetation conditions, however it is unclear how drought conditions impact stream habitat quality for fish. Objectives for my project include:

• How does stream habitat quality relate to drought across National Forests of the Northwestern US?
• Has drought increased impacts on riparian vegetation over the past 20 years?

Assessing The Promise And Pitfalls Of Chatgpt For Automated Cs1-Driven Code Generation, Fawad Khan, Max Ramsdell

Student Research Symposium

Definition and Overview of Large Language Models:

• Large Language Models (LLMs) are advanced AI algorithms designed to understand, generate, and interact with human language at a vast scale.

The Evolution of LLMs:

• The development of LLMs has progressed
• 1960 - Basic LLM - basic predictive text functions
• 2017- Transformers - Core model powering ChatGPT introduced
• 2022 - ChatGPT context-aware systems

Coding And Math In Elementary School: Relationships Among Mathematical, Spatial, And Computational Thinking, Anahita Ashineh

Student Research Symposium

Research shows that spatial thinking (ST) is foundational to mathematics learning¹ and computational thinking (CT) and can help students learn math more deeply². Few studies look at how students use ST, CT, and math knowledge (MK) concurrently. This project is working with teachers to co-design integrated CT, ST, and MK lessons to study how students use ST, CT, and MK and how their knowledge develops over time.

Goal: To empirically develop, test, and refine a CT learning trajectory for elementary students (grades 1-2) that integrates ST & MK.

Preliminary Coding In Modeling Responsive Teaching In A Theory-Building Context: A Constructivist Grounded Approach, Ravi Sinha, Idris Solola

Student Research Symposium

• Theory-building practices such as modeling are central to the Next Generation Science Standards^[3]. This is a powerful context for responsive teaching (RT), where teachers elicit and refine students’ prior knowledge.^[5]
• While research has previously characterized teachers’ RT^[4] , the granularity of analyses has been large and the studies do not illuminate RT moves in a theory-building context.
• We draw on the constructivist theory of Knowledge in Pieces (KiP)^[1], which views knowledge as a complex system of elements drawn into networks based on the sense-making demands of a particular context and learning as the progressive …