Digital Commons Network^™

Integrating Traditional Samoan Music With School-Aged Children In Fostering Culturally Appropriate Behaviors Within The Framework Of Fa'afaletui And Multimodal Interpretative Phenomenological Analysis, Stormi Rachelle Winscot

Theses and Dissertations

Fa’aSamoa, the cultural framework shaping Samoan values, relationships, and daily life, deeply informs educational experiences in American Samoa. Music, as both cultural expression and communal practice, offers a powerful lens through which student engagement can be understood. This exploratory study employed multimodal interpretative phenomenological analysis (MMIPA), guided by the Fa’afaletui framework, to examine how Samoan and Pacific Islander students responded in embodied ways to traditional Samoan, culturally adapted Western, and other Western (folk, classical, pop) music in classroom settings. Drawing on focus group interviews and systematic observations, the study centered students’ movement, vocal expression, rhythmic participation, and peer interaction as …

Silicon Dioxide Multimode Interferometer Spectrometers, James Harkness

Theses and Dissertations

Multi-mode interferometer (MMI) spectrometers are a type of reconstructive micro-spectrometer based on imaging light propagation patterns in MMI waveguides. This dissertation describes how the MMI spectrometer was implemented for the first time using a silicon dioxide core. This approach showed a 6 dB improvement in SNR over SU-8 core devices. To implement the silicon dioxide MMI spectrometer, a fabrication technique for selectively roughening the surface of the waveguide needed to be developed. SU-8, a photosensitive polymer, was etched with oxygen plasma to create grass-like nanostructures. SU-8 grass can then be used as a transfer mask to plasma etch a surface. …

Evaluating Measurement Invariance Frameworks: A Comparison Of Mg-Cfa, Alignment Optimization, & Bayesian Approximate Measurement Invariance Using The Brigham Young University Counseling And Psychological Services Client Satisfaction Survey, Heidi Lula Lindsey

Theses and Dissertations

Researchers must establish measurement invariance (MI) before comparing latent constructs across groups to ensure construct validity. However, traditional multi-group confirmatory factor analysis (MG-CFA) may impose overly strict equality constraints in applied settings. Alternative MI frameworks are less familiar to researchers, which limits their use. This study compares MG-CFA, alignment optimization (AO), and Bayesian approximate measurement invariance (BAMI) using archival data from the Brigham Young University Counseling and Psychological Services Client Satisfaction Survey (N = 1,278). Participants completed an exit survey after receiving individual (n = 1,063), couple (n = 83), or group (n = 132) therapy, answering 16 five-point Likert …

Asymptotic Sensitivity And Adjoint Methods For Equation Discovery With Open-Source Implementation, Nathan Schill

Theses and Dissertations

The "on-the-fly" (OTF) method is a gradient-based approach to equation discovery. It makes use of (potentially limited) observational data, a data assimilation technique such as continuous data assimilation (also called nudging), and an error metric. From these it computes an asymptotic approximation of a simulated system's error sensitivity with respect to unknown parameters and utilizes any gradient-based optimization algorithm to perform parameter updates. These parameter updates may be done online or offline, and the model may be of a precisely specified form or simply a library of possible terms with potentially nonlinear parameters. We have applied the adjoint method to …

Sonic Booms From Rockets: Measurements And Modeling, Mark Charles Anderson

Theses and Dissertations

Rocket sonic booms are produced when launch vehicles or boosters travel faster than the local speed of sound in the atmosphere, generating systems of conical shock waves. The purpose of this dissertation is to perform high-fidelity measurements of rocket sonic booms and to explain the physics behind the unique phenomena observed. After a thorough literature review on sonic booms produced during spaceflight operations, Part I of this dissertation deals with measurement and analysis challenges. One challenge is reducing contaminating noise effects on sonic boom perception metrics, addressed using a low-pass filtering method tied to the noise floor. A second challenge …

Unlocking Inexpensive Training Through Overcoming Weaknesses In Dataset Distillation, Connor Wilhelm

Theses and Dissertations

Dataset distillation is a nascent technique that promises accelerated neural network training. In particular, distillation produces a highly compressed dataset that can train a neural network in as little as a single optimization step. However, distillation has not been adopted for real-world use cases due to weaknesses, such as poor approximation of the original task, unclear interpretability, high costs of the initial distillation, and poorly elaborated use cases. Here, we present five papers that advance task distillation towards real-world adoption. The papers focus on: distilling reinforcement learning environments, interpreting distillation-produced datasets, improving distillation performance using ensembling, examining distillation's generalization to …

Physics-Based And Data-Driven Low-Order Modeling Of Centrifugal Compressors, Chase Oliphant

Theses and Dissertations

Centrifugal compressors serve as critical components across many applications, yet their design and performance prediction present significant challenges. While computational fluid dynamics provides high-fidelity predictions of compressor behavior, its prohibitive computational cost renders it impractical for preliminary design phases where rapid exploration of the geometric and operating space is essential. Conversely, existing low-order models have enabled efficient performance estimation but suffer from limited accuracy and poor interpretability, particularly when applied to novel geometries or off-design operating conditions. This dissertation addresses these limitations through three complementary contributions that bridge the gap between high-fidelity CFD and preliminary design tools. The first contribution …

Understanding The Role Of Tiktok As A Source Of Support For Cyberbullying Victims, Saba Iqbal

Theses and Dissertations

Cyberbullying poses a significant threat to teenagers and young adults, who often seek support and advice online. Little is known about the support and advice shared online for victims of cyberbullying and whether it is helpful. In this study, we used qualitative thematic analysis to examine a sample of 150 TikTok videos that give support or advice for cyberbullying victims. We identify 33 unique pieces of support and advice across 5 categories, with differences in tone and delivery among different types of videos. We then evaluated the quality of 33 unique pieces of cyberbullying advice in a user study with …

Path Planning And Control For Vertical Takeoff And Landing Aircraft, Dean Benjamin Anderson

Theses and Dissertations

One of the challenging problems of unmanned aerial vehicles (uav) is controlling vertical takeoff and landing (vtol) aircraft. Vtol aircraft can take off and land without landing strips while retain the efficiency of fixed-wing airplanes for long range flight. Unfortunately, the transition from takeoff and forward flight, and from forward flight to landing, is an extremely difficult control problem. Most current controllers for transition switch between flight regimes based solely on airspeed. The trajectory for such switching transitions is a straight vertical ascension followed by a straight forward startup flight; it does not allow for the development of more complex …

Advancing Cyclic Ion Mobility Mass Spectrometry For Structural Characterization, Isomer Discrimination And Gas-Phase Ion Chemistry, Sudam Shivaji Mane

Theses and Dissertations

This dissertation focuses on the development and application of high-resolution ion mobility-mass spectrometry (IMS-MS) methodologies for gas-phase separation and structural characterization of small molecules, with particular emphasis on epimers, positional isomers, and protomers. In addition to structural separations, this work investigates fundamental aspects of gas-phase ion chemistry using IMS-MS in combination with collision-induced ion activation and dissociation techniques. Advanced separations were performed using cyclic traveling-wave ion mobility spectrometry (cyclic TWIMS), implemented in a commercial cyclic ion mobility-mass spectrometry (cIMS) platform, to systematically evaluate both the capabilities and limitations of high-resolution IMS in resolving subtle structural differences. Initial studies demonstrated that, …

Practical, Scalable, And Cost-Effective Nanolc-Ms Workflow For Single-Cell Proteomics, Siqi Huang

Theses and Dissertations

Single-cell proteomics provides a novel research strategy for decoding cellular heterogeneity, revealing the molecular mechanisms of rare cell subpopulations, and studying the dynamic responses of cells to external stimuli. However, compared to transcriptomics, single-cell proteomics faces even more challenging technical challenges: extremely low protein amount in single cells, wide dynamic range, significant adsorptive losses during sample preparation, and the complex matrix and trace sample injection demanding extremely high stability and sensitivity from the separation and detection systems. Mass spectrometry-based bottom-up proteomics has become an important tool for analyzing complex biological systems, and nano-flow liquid chromatography-mass spectrometry (nanoLC-MS) exhibits unique advantages …

Differentials As Models: Constructing A Differentials-Within-Limits Framework For First-Year Calculus And Examining Students' Understanding Of Limits, Differentials, And Derivatives Within It, Alexander A. Swindler

Theses and Dissertations

Work in first-year calculus has clearly shown the power that treating differentials (such as dx) as tiny quantities affords for first-year calculus learning, yet a traditional limits-based approach leaves no room for them. While some researchers have loosely described informal differentials and limits within the same paradigm, their actual conceptual definitions and relationships have not been explicitly constructed. Continued progress in this area could benefit from theoretical consideration of (a) providing clearer intuitive definitions for differentials inside a limits-based approach to calculus, and (b) defining more exactly the relationships between differentials and limits. In this study, I propose a theoretical …

“Loophole Of The Century”: Routine Use And The Privacy Act Of 1974, Joslynn Jensen

Brigham Young University Prelaw Review

This Note examines structural weaknesses in the Privacy Act of 1974 and argues that the statute no longer provides meaningful safeguards for personal information held by federal agencies. Enacted in the aftermath of the Watergate scandal, the Act was designed to ensure transparency, accountability, and individual control over government recordkeeping systems. However, two core features—the routine-use exception and the Act’s narrow remedial structure—have undermined these protections. The routine-use provision permits agencies to disclose personal records without individualized consent so long as the disclosure is deemed “compatible” with the purpose of collection and published in the Federal Register, a form of …

Good Faith And The Ministerial Exception, Kailey Hopkins, Nathan Gurr

Brigham Young University Prelaw Review

Following the Supreme Court’s decision in Hosanna-Tabor Evangelical Lutheran Church and School v. EEOC, lower courts, in attempting to adhere to the ruling, have largely disregarded the Court’s explicit instruction to avoid adopting a “rigid formula” for determining ministerial status. Instead, they have repeatedly relied on the factors identified in that decision as a functional test. When the Court revisited the ministerial exception, it reaffirmed that no definitive legal standard governs the designation of a “minister,” while modestly broadening the doctrine by emphasizing that formal titles are less significant than functional considerations. This Comment argues that the lower courts’ …

Observational Diagnostics And Spectroscopic Detection Of Tropospheric Trace Gases And Oxidation Processes, Callum E. Flowerday

Theses and Dissertations

The troposphere is governed by photochemical and radical-mediated processes that control atmospheric oxidation capacity, secondary pollutant formation, and the chemical lifetime of gases. Quantitative understanding of these processes requires both robust observational frameworks capable of resolving complex precursor–product relationships and instrumentation with sufficient sensitivity and selectivity to detect reactive and low-concentration species. This dissertation advances atmospheric chemistry through the parallel development of quantitative observational methodologies and refined spectroscopic measurement techniques. The first component of this work evaluates atmospheric oxidation systems using long-term monitoring data and empirical diagnostics. Multi-year analyses of ozone and particulate matter trends were conducted to characterize variability …

Does Concurrent Completion Of A Computer Task Interfere With Talking? Comparing Younger And Older Adults, Emma Simpson Hymas

Theses and Dissertations

This study investigates the impact of a computer-based divided attention task on spoken language and compares the impact between younger (18–30 years) and older (55–82 years) adults. Sixty adults participated in a speaking task and two computer tasks which varied in difficulty. The Level 1 computer task involved highlighting each instance of the word “the” and the Level 2 computer task involved highlighting each instance of the word “the” while also underlining each instance of the word “a”. Each task was completed alone and then two computer tasks with different levels of difficulty were completed concurrently with a procedural discourse …

Objective Conditioning Via Latent-Factor Modeling, Kalman-Smoothing, And Hidden Markov Clustering: An Application To Empirical Asset Pricing, Melanie R. Neller

Theses and Dissertations

Empirical asset pricing relies heavily on conditioning sets--industry groupings, size buckets, valuation screens, and other researcher-defined partitions--to structure cross-sectional tests and portfolio construction. While intuitive, such partitions risk blending heterogeneous firms, masking latent exposures, and introducing omitted-variable bias. This thesis develops an objective, mathematically grounded conditioning pipeline that replaces subjective groupings with latent-factor extraction, Kalman-based data techniques, and probabilistic clustering via Gaussian hidden Markov models (HMMs). Using CRSP monthly returns, the framework stabilizes noisy return data, extracts systematic structure through principal component analysis (PCA), identifies homogeneous stock cohorts through HMM clustering, and models regime persistence using Markov transition matrices. These …

Implementing A Problem-Solving Framework In Physics Tutorials For Upper-Division Electricity And Magnetism Students, James C. Hecht

Undergraduate Honors Theses

We study the effects of implementing a problem-solving framework in tutorials intended for use in upper-division electricity and magnetism courses. These tutorials were integrated into an electricity and magnetism course in Fall 2024, and were compared alongside a set of tutorials on the same topics which did not include the problem-solving framework. We performed a mixed-methods analysis on exam scores, interviews, and survey responses from students who were in the class. Students seem to prefer the tutorials that implement the problem-solving framework, and these tutorials seem to assist students with conceptual understanding somewhat; however, the qualitative data on conceptual understanding …

Electrochemical Sensors And Processes In Molten Salts: Chlorine Production, Electroanalytical Chemistry, And Thin-Layer Electrodes, Tyler Williams

Theses and Dissertations

Molten salt electrochemistry has historically played a substantial role in the metallurgical industry, and this trend is only accelerating in areas of green steel, direct ore processing, and rare-earth processing. In addition, the recent surge of interest in molten salt nuclear reactors has provided an additional application for molten salt electrochemical processes, including the reprocessing of used nuclear fuels and the development of electrochemical sensors for nuclear applications. In this work, the development of a chloride volatility separation process for used nuclear fuel is advanced; electroanalytical methods are improved for identifying and quantifying unknown analytes with and without the presence …

Quantifying Regional Variation Of Lipid Metabolism In The Brain, Martin D. Sorensen

Undergraduate Honors Theses

Apolipoprotein E gene (APOE) and its associated isoforms are the most significant genetic risk factors for Alzheimer’s disease (AD). The common alleles, APOE2/3/4, exhibit a protective/neutral/risk-inducing impact on sporadic AD development respectively. Our lab’s research focuses on APOE modification of the brain proteome and lipidome, with an emphasis on regional regulation and interest in assessing how APOE4 affects regulation differently between distinct regions of the brain. This thesis presents an analysis of cryosectioned brain samples harvested from young APOE knock-in mice. Using metabolic labeling with deuterated water, we measure turnover and dietary sourcing of lipids. We observe significant differences in …

The Evolution Of Science And The Transformation Of Human Understanding: Toward A Generative Framework Of Learning And Reality, Yoshihiko Ariizumi

Spiritual Proficiency

This essay argues that the development of science can be understood not as linear accumulation, but as a sequence of structural transformations in human understanding. Such a view aligns with a generative framework in which knowledge is not passively received or merely constructed, but emerges through dynamic interactions that reorganize cognitive and experiential structures. By situating this framework within the history of science, we can better understand both the nature of scientific progress and its indispensable role in human development.

Learning As Becoming: A Restored Gospel-Based Reinterpretation Of Scientific Discovery And Human Growth, Yoshihiko Ariizumi

Spiritual Proficiency

For many educators of the Church of Jesus Christ of the Latter-day Saints, a persistent dissonance exists between the secular textbooks we utilize and the restored truths we cherish. Traditional science often presents the universe as a closed, material system where learning is merely the acquisition of data. However, as we align our academic pursuits with the light of the Restored Gospel, we discover that scientific inquiry is not independent of spiritual growth. Rather, it is a primary mechanism through which we experience a fundamental shift in our very nature—moving from "knowing" to "becoming."

Generalizing Networks To Address Data Imbalance For Facial Action Unit Recognition, Andrew W. Sumsion

Theses and Dissertations

Facial action unit (AU) recognition is used in a variety of downstream applications, including sign language translation, dementia detection, pain detection, and other high-impact tasks that require understanding facial motion. Although AU recognition is a well-established field, a number of unresolved issues remain. An initial problem is the need to improve overall performance on the benchmark datasets, as measured by the average F1 score. Also, the performance across all individual AUs, not just the average F1 score, needs to be increased. Recently, the field has shifted its attention towards ensuring that AU recognition models generalize beyond the distributions represented in …

Tusqh: Topological Control Of Volume-Fraction Meshes Near Small Features And Dirty Geometry, Brian Reese Shawcroft

Theses and Dissertations

This work develops a framework to create meshes with user-specified homology from potentially dirty geometry by coupling background grids, persistent homology, and a generalization of volume fractions. For a mesh with fixed grid size, the topology of the output mesh changes predictably and monotonically as its volume-fraction threshold decreases. Topological anti-aliasing methods are introduced to resolve pinch points and disconnected regions that are artifacts of user choice of grid size and orientation, making the output meshes suitable for downstream processes including analysis. The methodology is demonstrated on geographical, mechanical, and graphics models in two-dimensions (2D) and three-dimensions (3D) using a …

Strategic Parallels: How Historic Military Tactics Inform Modern Business Strategy, Eli S. Nelson

Undergraduate Honors Theses

The field of business strategy emerged out of military strategy during the mid- twentieth century. Despite this shared DNA, the connection between the two fields has been limited to broad conceptual comparisons and abstract motivational framing. No prior research has paired a specific military history case with a specific modern business case to analyze the parallels between these disciplines in detail.

This research addresses that gap by comparing the German Blitzkrieg campaign during the 1940 invasion of France and the transformation of Ryanair in the early 1990s. Despite being separated by fifty years and operating in completely different domains, the …

Quantifying Location-Based Variability Of Regional Brain Metabolism Using Microsamples From Apoe Knock-In Mice, Jason G. Wells, Esteban G. Colman, John C. Price

Undergraduate Honors Theses

Apolipoprotein E (ApoE) is an important lipid transporter in the brain. There are three different ApoE variants: ApoE2, ApoE3, and ApoE4. Each of these variants either contribute to or protect against Alzheimer’s disease (AD). The Hippocampus (HC) and the Entorhinal Region (ER) of the brain consistently develop AD pathology first. We hypothesize that ApoE variants affect lipid and protein metabolism in these regions more strongly than in others. Differences in the regional regulation and the ApoE-isoform impacts of these metabolic pathways remain unknown.

We measured brain protein turnover rates in ApoE knock-in mice labeled with deuterated water. Using a laser …

Albumin-Binding Domains In Therapeutic Protein Engineering: A Structural And Computational Perspective On Rational Design, Matthew Argyle, Dallin M. Chipman, Anna Claire Woolley, Bradley C. Bundy, Dennis Della Corte

Faculty Publications

Therapeutic proteins face a critical pharmacokinetic challenge: rapid clearance from circulation limits their clinical efficacy. Albumin-binding domains (ABDs) offer an elegant solution by enabling therapeutic proteins to “hitchhike” on serum albumin’s favorable 19-day half-life through FcRn-mediated recycling. Clinical validation through approved therapeutics like ozoralizumab demonstrates the success of this approach, with preclinical studies showing fusion to an ABD extended half-life to 18 days. This review provides an analysis of ABD-fusion protein design, integrating structural biology, computational prediction, and rational engineering principles. We catalog the major classes of albumin-binding modalities, including bacterial three-helix bundle domains, engineered peptides, antibody-derived binders, and alternative …

Improving Surface Analysis Through The Correct Use Of Low Energy Ion Scattering And X-Ray Photoelectron Spectroscopy: Best Practices, Common Errors, And Multimodal Approaches For Material Development, Joshua W. Pinder

Theses and Dissertations

Surface analysis is the study of the atoms at surfaces and their connectivity, including their relative depth distribution, concentration, chemical state, and crystallinity. These characteristics govern many important material properties. X-ray photoelectron spectroscopy (XPS) is one of the most widely used surface analysis techniques. Proper interpretation of XPS spectra including the appropriate use of backgrounds, peak shapes, peak positions, and charge compensation, with appropriate constraints on fitting parameters provide valuable information about elemental composition, concentration, depth distribution, and chemical speciation of surface atoms. However, despite widespread use, much of the XPS literature contains poor interpretations and irreproducible results which undermine …

Distributed Model Predictive Control-Based Power Management Scheme For Grid-Integrated Microgrids, Sergio Escareno, Sijo Augustine, Liang Sun, Sathishkumar J. Ranade, Olga Lavrava, Enrico Pontelli, John Hedengren

Faculty Publications

Transitioning from traditional electrical grids to smart grids is currently an ongoing process that many nations are striving for due to their access to renewable resources. Energy management is one of the key parameters that decides the performance of such complex systems. Distributed Model Predictive Control (DMPC) is a promising technique that can be used to improve the energy management of grid-connected systems. This paper analyzes a grid-connected inverter system with DMPC that exchanges key operating parameters with the grid to optimize coordinated power sharing between its respective loads. The state-space model for the inverter is derived and verified to …

Molecular Survival Strategies Against Kidney Filtration: Implications For Therapeutic Protein Engineering, William Heaps, Anna Elise Packard, Kristina M. Mccammon, Tyler P. Green, Joseph P. Talley, Bradley C. Bundy, Dennis Della Corte

Faculty Publications

The glomerular filtration barrier poses a significant challenge for circulating proteins, with molecules below ~60–70 kDa facing rapid renal clearance. Endogenous proteins have evolved sophisticated evasion mechanisms including oligomerization, carrier binding, electrostatic repulsion, and FcRn-mediated recycling. Understanding these natural strategies provides blueprints for engineering therapeutic proteins with improved pharmacokinetics. This review examines how endogenous proteins resist filtration, evaluates their application in protein engineering, and discusses clinical translation including established technologies (PEGylation, Fc-fusion) and emerging strategies (albumin-binding domains, glycoengineering). We address critical challenges of balancing half-life extension with tissue penetration, biological activity, and immunogenicity—essential considerations for the rational design of next-generation …