Digital Commons Network^™

Guitar Amplifier Directivity, Rachel C. Edelman, Brian E. Anderson, Samuel D. Bellows, Timothy W. Leishman

Directivity

No abstract provided.

Artificial Intelligence And African Studies, Gloria Emeagwali

Comparative Civilizations Review

African Studies is a conglomerate of multidisciplinary academic fields that include paleontology, history, literature, linguistics, philosophy, African Traditional Religion and theology, art, and Afrofuturism, as well as African Indigenous Knowledge Systems. This paper focuses on the latter, namely African Indigenous Knowledge Systems (AIKS), and African Studies, in general, from the viewpoint of two chatbots, namely, ChatGPT-4, and DeepSeek v.3. Do these models make a break with Eurocentrism and prevent unbiased information on AIKS? Are the underlying conceptual issues underpinning AIKS fully grasped, and if so, what are some relevant examples of this accomplishment? How do these programs respond to specialized …

The Composition Of Gases From A Diffusion Flame Above Longleaf Pine Needle Fuel Beds, David R. Weise, Thomas H. Fletcher, Timothy J. Johnson, Weimin Hao, Russell G. Tonkyn, Catherine A. Banach, Javier Palarea-Albaladejo, Mahsa Alizadeh, Stephen Baker

Faculty Publications

The gas and tar composition of a wildland fire diffusion flame from longleaf pine needles is currently relatively unmeasured and more data are needed to fill in the gap between pyrolysis data and smoke plume data, thus improving physical and chemical modeling of wildland smoke formation. A pilot experiment to measure light gas and tar composition of such a flame is described for three flame zones: persistent flame (flame base), intermittent flame, and smoke plume. Flame gases from 24 experimental fires were collected in canisters and analyzed for CO2, CO, H2, CH4, and C2 to C7 hydrocarbon gases. Other light …

Efficiently Stowed Flashers With Uniform-Thickness Panels Based On Non-Developable Origami, Larry L. Howell, Robert J. Lang, Specer P. Magleby, Davis Wing

Faculty Publications

We present the mathematical construction of a deployable flasher pattern with near-uniform nonzero thickness in the deployed form and efficient face-to-face packing in the stowed form. We demonstrate its fabrication, deployment, and stowage. The results facilitate the design and manufacture of deployable systems with panels whose substantial thickness is dictated by the end application, with particular utility for space systems.

Blue Spring (2001):, George Dibble

BYU Asian Studies Student Journal

“Congratulations on your graduation,” broadcasts on the upper secondary school’s PA system—the first sound in the film Blue Spring (2001), directed by Toshiaki Toyoda—yet none of the students we follow for the next 83 minutes have anything to graduate for. Like a chick denied egg-shell breakage, stuck in its hard world, the film-focused boys are told to live. But where, and how? Blue Spring exists between the graffiti laden walls of high school where classes are secondary to student politics and fights are as common as words.

Annoyances lead to murders. Money is extorted. Teachers are harassed. The first image …

The “Four Concentric Circles Of Russian”: Toward A Model, Timothy G. Reagan

Russian Language Journal

Braj Kachru suggested that one way of understanding the role and use of English around the world was to distinguish among three concentric “circles”: the inner circle, the outer circle, and the expanding circle. In this article, I will use Kachru’s model as the foundation for the development a similar model for positioning the Russian language in the contemporary world. The historical differences in Anglo-American linguistic expansion and Russian linguistic expansion lead to somewhat different divisions among speakers of the respective languages. The model proposed here has four concentric circles: an inner circle (consisting of the Russian …

Dynamic And Stable Motivation Patterns In Intensive Second Language Learning: Insights From A Russian Summer Immersion Program, Dmitrii Pastushenkov

Russian Language Journal

Understanding what shapes student motivation is essential to improving second language (L2) programs. While motivation is among the widely studied individual differences (IDs) in second language acquisition (SLA), research has largely focused on commonly taught languages, limiting broader applicability. This mixed-methods study, grounded in Dynamic Systems Theory (DST), explores the motivational development of learners studying a less commonly taught language (LCTL), Russian, during an eight-week summer immersion program. Data were collected from 52 students across four instructional levels. Motivation was assessed through two brief online surveys, developed based on research by Gardner, Dörnyei, Lanvers, Thompson, and others, and administered during …

Why Russian? Language Choice And Enrollment In U.S. Universities, Emma Calderwood, Teresa R. Bell, Jennifer Bown, Grant H. Lundberg

Russian Language Journal

Russian language enrollments at U.S. universities have declined steadily since 2009 (MLA, 2023), yet little research has examined current student motivations for studying Russian, particularly after the 2022 escalation of the Russo–Ukrainian War. This study surveyed two groups: (a) students enrolled in any 101-level language course at University X and (b) students in Russian courses at six U.S. universities. Results show that motivations for studying Russian are primarily integrative—general interest in the language, desire to converse with Russian speakers, aspirations to travel to Russian-speaking countries, and previous Russian knowledge—rather than instrumental. Students who considered but did not choose Russian most …

Panda-Plus: Improved Dataset Of Prostate Whole Slide Images From Panda Challenge With Pixel-Level Expert Annotations, Spencer Hopson, Carson Mildon, Corbyn Kubalek, Joshua L. Ebbert, Ryan Vance, Lauren Laverty, Paul Urie, Dennis Della Corte

Faculty Publications

Artificial intelligence (AI)-based prostate cancer detection through whole slide images (WSIs) offers promising potential to address the global pathologist shortage while improving clinical consistency. Digital slides and improving image analysis methods encourage the creation of tools to aid in WSI classification. Despite promising advances, these tools are still limited by available training data. Current publicly available datasets, such as Kaggle's PANDA Challenge, while large in scale, rely on slide-level labels that may introduce noise and limit model reliability. Others contain detailed annotations, but are smaller in size due to manual processing efforts. In this work, we introduce PANDA-PLUS, a 546-image …

Confidence In The Pompeian Fullo, Tori Nielsen

Studia Antiqua

Many scholars have discussed a curious graffito parodying the Aeneid found outside of a Pompeian fullonica, but few have taken into account its visual and written context. I synthesize previous scholarship and consider additional neighboring graffiti and visual elements in order to more thoroughly reconstruct the ideas conveyed about fullers in this space. The outer wall celebrates fullers in cultural, social, and fulling matters, thus bolstering their community’s confidence in them.

Structural Framework And Tectonic Implications From Field Investigations In The Ramelau Mountains, Timor-Leste, Tanner A. Nielsen

Theses and Dissertations

Recent advances in petroleum exploration off the southern coast of Timor-Leste and emerging mineral discoveries onshore have underscored the need for a more comprehensive structural understanding of the nation's geology. Although new structural models have been proposed for other parts of Timor, limited progress has been made toward developing detailed models for the Ramelau Mountains, which presents the highest structural relief of the Timor Ranges. Previous mapping in this area has been largely reconnaissance in nature and focused primarily on surface bedrock geology. This study presents a new 1:62,500-scale geologic map and a geometric structural analysis of the Ramelau region …

Optimal Sizing Of Battery Energy Storage Systems For Peak Shaving And Demand Response Using A Degradation-Aware Bayesian Optimization-Mixed-Integer Linear Programming Framework, Jiwei Yao, Blake Billings, Tao Gao, John Hedengren, Kody M. Powell

Faculty Publications

The increasing integration of renewable energy and rising electricity demand highlight the importance of battery energy storage systems for peak shaving and demand response. Unlike prior approaches that overlook operational impacts on degradation, this study proposes a Bayesian Optimization–Mixed Integer Linear Programming framework for optimal battery energy storage system sizing. In this framework, Mixed Integer Linear Programming determines short-term scheduling while a calibrated electrochemical model iteratively evaluates degradation. The central hypothesis is that the framework can efficiently identify optimal sizes that yield realistic and economically robust outcomes. The method is tested across three scenarios: peak shaving, peak shaving with energy-reduction …

A Systematic Study Of Passkey User Experience Consistency, Bernhardt Ramat

Theses and Dissertations

Passkeys have emerged as a more secure authentication method than passwords, providing a passwordless alternative resistant to phishing and credential theft attacks. Despite their growing adoption, a systematic study into the user experience of passkeys across various websites has yet to be conducted. Usability heuristics suggest that users transfer their expectations from one product to another, and therefore, inconsistencies in passkey deployments can increase cognitive load, resulting in frustration and possible rejection. To address this knowledge gap, this paper presents a comparative analysis of the external functional consistency of the passkey user experience across 111 websites. Our research reveals that …

The Role Of Dust Inputs And Sediment Phosphorus Diffusion Into Utah Lake, Utah, United States Of America, Kristen E. Smith

Theses and Dissertations

Human activities have led to excessive nutrient enrichment which is greater than lake systems can naturally assimilate. This process is known as eutrophication and it is driving significant algae growth resulting in the more common release of harmful toxins. Utah Lake, located in Utah County, UT is one such water body that even after major reductions in anthropogenic phosphorus influent, continues to experience frequent, harmful algal blooms. The extent to which natural processes, like atmospheric dust deposition and sediment recycling, contribute to the lake's phosphorus budget is still poorly understood.

To address this gap of knowledge, this study quantified phosphorus …

Enhancing Silicon Sampling In Large Language Models: Fine-Tuning Techniques Using Survey Data, Davis P. Forster

Theses and Dissertations

Large language models (LLMs) are increasingly used to simulate responses of human demographic groups, a task known as silicon sampling. This paper investigates whether supervised fine-tuning can improve algorithmic fidelity in such settings. We construct a dataset from the General Social Survey (GSS), converting demographic attributes into natural-language backstories and randomly selecting one attribute as a held-out target. Fine-tuning a LLaMA-3.1-70B model on this dataset yields significant improvements on two tasks: (1) imputing missing attributes at the individual level, and (2) reproducing response distributions for demographic slices, such as racial and age groups. Notably, these improvements are achieved with minimal …

Cyclic Testing Of Special Moment Frame Connections With Buckling-Restrained Fuse Plates, Jeremiah John Merrell

Theses and Dissertations

This thesis presents the development and evaluation of a new special steel moment frame connection that employs replaceable buckling-restrained fuse plates that can enhance seismic performance and post-earthquake repairability. A total of eight unique specimens were tested on two series of beam-to-column subassemblies (W36 and W24) to investigate connection behavior under cyclic loading. The experiments examined the influence of fuse plate geometry, bolt configuration, and buckling-restraints on strength, ductility, and deformation capacity. Results indicated that the buckling-restraint washers and bolts were effective at preventing out-of-plane buckling. Specimen M1.5 was successful in meeting the AISC 341-22 qualifications requirements for special moment …

Modeling Network Growth Via Generalized Isospectral Reductions, David Thomas Litster

Theses and Dissertations

Many real-world networks also exhibit a variety of symmetries. In this thesis we study equitable partitions and isospectral reductions, both of which are generalizations of symmetries. We formalize the relationship between these two types of generalized symmetry through the study of invariant subspaces. We then use recent results about the presence of equitable partitions in real-world networks to develop a network growth model that introduces similar structures, thereby introducing symmetries similar to those in real world networks.

Intrinsic Stability Of Controlled Systems Via Gershgorin-Type Estimates, David Friedbaum

Theses and Dissertations

Time delays are an inherent feature of real-world dynamical systems, arising whenever information, matter, or energy requires non-negligible time to propagate. Even small delays can destabilize systems that are otherwise well behaved, yet most standard control designs--such as PID or LQR--do not explicitly account for them and may fail when delays are present. This thesis investigates the stability of controlled dynamical systems subject to arbitrary time delays and develops new tools to determine when such systems remain stable. Our approach builds on the notion of intrinsic stability, a strong form of global stability introduced by Webb and Bunimovich, which guaranties …

Game-Theoretically Optimal Strategies In Baseball, William Michael Melville

Theses and Dissertations

Baseball players and their managers make numerous decisions that can have a significant effect on the result of the game. The effectiveness of their decision-making strategies depend on the strategies played by their opponents. For example, throwing a first-pitch fastball down the middle is a good strategy against a hitter who always takes the first pitch, but it is a risky strategy against a hitter who likes to swing at the first pitch and who is good at hitting fastballs. Additionally, any payoff a player receives from playing a strategy comes at the expense of their opponent. A batter cannot …

Play-Based Assessment Of The Cardinal Principle, Allyssa Sonnefeld Leavitt

Theses and Dissertations

Gelman and Gallistel (1986) determined five counting principles that are essential for successful counting, including the cardinal principle where children understand that the last number counted represents the quantity of a set of objects. The traditional How many? task and the Give-n task are the most common tasks that have been used to assess whether children understand the cardinal principle. However, many researchers claim that these tasks either overestimate or underestimate children's understanding of the cardinal principle. Some researchers (Baroody & Pellegrino, 2023) suggest that embedding the traditional How many? task in a game may improve its validity. In this …

Windkessel Parameter Estimation For Cardiovascular Feature Identification In Photoplethysmography Data, Calvin Boyce

Undergraduate Honors Theses

Features of cardiovascular health such as blood pressure, cardiac output, arterial compliance, and blood viscosity are important in evaluating heart health and disease risk, but are currently largely measured invasively and therefore only in critical settings. Here we explore the potential for Windkessel models to extract cardiovascular features from photoplethysmography (PPG) data in an attempt to evaluate heart health non-invasively. We show the capacity of a constrained Newton's method optimization scheme to estimate parameters and explore the tractability of the resulting parameters. While Newton's method is able to produce parameters that closely approximate PPG data, we found that using a …

Plant Preservation: The Contribution Of Bacteriophage And Transposons To Pathogenic Xanthomonas Evolution, And The Demographic And Reproductive Analysis Of Castilleja Parvula, Ciara A. Green

Theses and Dissertations

Plant preservation, whether through disease research or endemic extinction analyses, plays an important role in the relationship between humans and our surrounding environment. In these analyses, both the role of mobile elements in the evolution of pathogenic Xanthomonas sp. bacteria, and the demographic and reproductive analysis of Castilleja parvula, an imperiled alpine plant, are evaluated. Xanthomonas species are one of the top agricultural threats, and are known to evolve rapidly. Until now, the contributions of mobile elements and particularly bacteriophage have not been thoroughly evaluated. The contribution of these agricultural diseases to food insecurity and the devastation of crops that …

An Analysis Of Student Performance In Elementary Linear Algebra At Brigham Young University, Adrienne Irene Christensen

Theses and Dissertations

This study investigates different factors that influence performance in the Elementary Linear Algebra (ELA) course taught at Brigham Young University. These factors include student characteristics such as true freshman status and college enrollment, and content-specific factors such as how performance on essential topics affects overall performance in the course. To analyze the various research questions posed in the study, I used robust linear mixed effects models with random effects controlling for the hierarchical structure of the data. The statistically significant results from these models indicate that (i) true freshmen perform better than other students on exams and in the ELA …

Measuring And Modeling Nonlinear Vibrations In Structures With Mechanical Joints, Suzanna Gilbert

Theses and Dissertations

Many assembled structures have bolted or riveted joints. Aside from providing a convenient method of assembly, mechanical joints have an important effect on the structure's dynamic response to its environment. Friction and microslip within the joints help to damp out unwanted vibration. However, the joints also introduce nonlinearity into the response. Most notably, the natural vibrational modes of the structure no longer have constant natural frequencies and damping ratios. Rather, they shift as a function of vibration amplitude. Several methods exist to characterize the dynamics of nonlinear systems, yet they are generally validated on simple benchmark structures, and many still …

Bayesian Alignment Prior To Connectionist Temporal Classification Loss, Lawry Sorenson

Theses and Dissertations

We propose revisions of Connectionist Temporal Classification (CTC) loss and forced alignment to support longer input sequences. CTC loss is normally used for training in speech and handwriting recognition tasks when the labels are not fully aligned with the data, while forced alignment is a downstream task that finds the optimal path for segmentation purposes. The current implementations consider all possible alignments between the input and label, which grows exponentially with the size of the input. We show that in cases when silence is removed and speaking rate is consistent, the true alignment is a mostly straight line across time …

Commutative Schur Rings Over Characteristic 2 Special Orthogonal Groups, Andrew Haviland

Theses and Dissertations

We study commutative Schur rings over the special orthogonal groups $\mathrm{SO}^{\pm}(n,2)$ that contain the class $\mathcal{C}$ of transvections. We show that the partition of $\mathcal{C}$ determined by a commutative Schur ring has either one or two parts. We classify all remaining partitions of $\mathcal{C}$ that could be determined by a commutative Schur ring.

Toward Understanding Multi-Agent Decision Making In Complex Societies, Jonathan Skaggs

Theses and Dissertations

This dissertation investigates Multi Agent Decision Making (MADM) within Complex Societies (CS), systems of interdependent agents whose collective behaviors emerge from local interactions. Such emergent dynamics are nonlinear and difficult to predict, posing significant challenges towards understanding how individual decisions scale to societal outcomes. Existing approaches often fall short of capturing the combined attributes of CS, including asymmetry, decentralization, and adaptivity. To address this gap, we introduce new models and analyses of agent strategies that explain how cooperation and stability can arise in CS. Structured around three interrelated projects, this dissertation enhances our comprehension of MADM in CS. The research …

Gets: Greenhouse Environment Time Series, Scott Grimshaw, Natalie J. Blades, Grant R. Mcqueen

ScholarsArchive Data

This dataset contains high-frequency environmental measurements from a single greenhouse used to study multivariate statistical process control under strong autocorrelation. The data consist of a continuous Phase 1 monitoring period of approximately four weeks, during which environmental sensors recorded conditions inside the greenhouse once per minute.

The primary variables included in the archived dataset are:

• date – Date-time stamp at one-minute resolution (local greenhouse time).

• co2_ppm – Carbon dioxide concentration in parts per million (ppm).

• humidity_pct – Relative humidity (%).

• soil_temp_F – Soil temperature in degrees Fahrenheit.

When Scripts Diverge: Strengthening Low-Resource Neural Machine Translation Through Phonetic Cross-Lingual Transfer, Ammon Shurtz

Theses and Dissertations

Multilingual Neural Machine Translation (MNMT) models enhance translation quality for low-resource languages by exploiting cross-lingual similarities during training--a process known as knowledge transfer. This transfer is particularly effective between languages that share lexical or structural features, often enabled by a common orthography. However, languages with strong phonetic and lexical similarities but distinct writing systems experience limited benefits, as the absence of a shared orthography hinders knowledge transfer. To address this limitation, we propose an approach based on phonetic information that enhances token-level alignment across scripts by leveraging transliterations. We systematically evaluate several phonetic transcription techniques and strategies for incorporating phonetic …

Chronosort: Revealing Hidden Dynamics In Alphafold3 Structure Predictions, Matthew J. Argyle, William P. Heaps, Corbyn Kubalek, Spencer Gardiner, Bradley C. Bundy, Dennis Della Corte

Faculty Publications

Protein function emerges from dynamic conformational changes, yet structure prediction methods provide only static snapshots. While AlphaFold3 (AF3) predicts protein structures, the potential for extracting dynamic information from its ensemble predictions has remained underexplored. Here, we demonstrate that AF3 structural ensembles contain substantial dynamic information that correlates remarkably well with molecular dynamics simulations (MD). We developed ChronoSort, a novel algorithm that organizes static structure predictions into temporally coherent trajectories by minimizing structural differences between neighboring frames. Through systematic analysis of four diverse protein targets, we show that root-mean-square fluctuations derived from AF3 ensembles can correlate strongly with those from MD …