Digital Commons Network^™

Design Principle For Staple-Mediated Stabilization Of Peptides And Proteins, Samantha C. Hatfield

Theses and Dissertations

Macrocyclization, or stapling, has emerged as a powerful strategy to enhance the stability and function of peptides and proteins by constraining their conformational ensembles. Stapling can improve thermodynamic stability, increase resistance to proteolytic degradation, and enhance biomolecular recognition, making it particularly valuable for the development of peptide-based therapeutics. Despite these advantages, staple design remains largely empirical, relying on iterative screening of linker chemistries, lengths, and attachment sites. This trial-and-error approach limits scalability and hinders the rational design of stabilized peptide systems. In this work, we address this challenge by integrating large-scale experimental datasets with molecular dynamic simulations to develop predictive …

Improving Cluster Expansion Efficiency And Generalizability, Samuel D. Bills

Undergraduate Honors Theses

The cluster expansion (CE) method is a powerful framework for modeling alloy systems by linking atomic configurations to thermophysical properties. However, constructing accurate and robust CE models requires careful selection of both training structures and cluster bases. In this work, we investigate how structure enumeration and cluster selection strategies influence CE performance in binary face-centered cubic alloys using a Julia-based implementation. Model performance is evaluated using empirical risk and the generalized aliasing decomposition (GAD), which provides insight into the relationship between model complexity and generalization error. We find that physically motivated selection strategies that prioritize small clusters consistently outperform approaches …

Using Ai To Add Tables Of Contents To Cataloging Records, Marissa Bischoff, Lance Hansen

Faculty Publications

A table of contents and summary are important metadata that improve the discoverability and description of our materials. They are optionally included in catalog records, though, because transcribing these by hand is time intensive.

We sought the most efficient way to scan and AI format the table of contents pages for inclusion in the 505 field of catalog records.  We explored different AI software, iterative prompting and the time-effectiveness of the process, in comparison to hand-typed metadata fields.

A Parallelized Multi-Component Radiation Testing Methodology For Systems-On-Chip, Weston M. Smith

Theses and Dissertations

As the space industry expands, there is an increased reliance on system on chip (SoC) devices in high radiation environments. The reliability of these devices becomes crucial, especially in space applications. The industry's rapid growth has led to a massive expansion in the use of Commercial Off-The-Shelf (COTS) components. Electronic systems are vulnerable to single event upsets (SEUs) and the failure modes caused by SEUs are not fully understood, especially for COTS SoCs. Standard radiation testing techniques of SEUs use a single core of a multi-core processor to monitor bit flips. In this work, we present a parallelized radiation testing …

Developing Custom High Resolution 3d Printers For Microfluidic Device Fabrication, Dallin Scott Miner

Theses and Dissertations

The advancement of microfluidics in biomedical diagnostics and lab-on-a-chip systems is increasingly dependent on the ability to fabricate complex, three-dimensional architectures with high-resolution negative features. While Digital Light Processing Stereolithography (DLP-SLA) has emerged as a leading fabrication method, it remains constrained by a fundamental trade-off between feature resolution and build volume, as well as challenges regarding fabrication consistency and design accessibility. This dissertation presents an integrated ecosystem of hardware, materials, and software designed to overcome these barriers and enable scalable, high-resolution microfluidic fabrication. We first introduce a novel multi-resolution 3D printing technique utilizing a dual-optical engine architecture, comprising a Very …

Evaluating C-Band Scatterometer Images For Estimating Deforestation In The Amazon Rainforest, Alex Mcbride

Theses and Dissertations

Satellite-based active microwave sensors have been successfully employed for a wide range of vegetation and soil studies. Spaceborne microwave instruments have proven particularly useful for wide-scale monitoring of the vegetation, especially under conditions that limit the effectiveness of high-resolution optical sensors. Satellite scatterometry can be used to detect and model deforestation in the Amazon rainforest by correlating changes in the C-band backscatter data to observed changes in vegetation coverage. The exploratory methodology developed in this paper applies the longest continuous microwave satellite record to the problem of deforestation. The backscatter measurements taken by the ERS and ASCAT missions provide more …

A Peer Evaluation Of Safety At Signalized Intersections, Auzton Mitchell Stutts

Theses and Dissertations

The Utah Department of Transportation (UDOT) has made significant efforts to reduce crashes at signalized intersections and is constantly seeking to improve safety across the state. The purpose of this research is to quantify and evaluate the safety rates and frequencies at signalized intersections in Utah compared to other states. Once the crashes have been quantified, the secondary purpose is to determine why there may or may not be differences. A survey was developed to understand how states analyze, prioritize, and implement safety at signalized intersections, including different policies, procedures, and countermeasures. Crash data from eight states were analyzed and …

Design Of Precise Hinges For Optical Space Arrays, Jacob Sutton

Theses and Dissertations

Deployable origami-based arrays offer significant advantages for space optical systems due to their ability to stow compactly and deploy to a large surface area. However, achieving the panel alignment precision required for optical applications remains an open challenge, particularly for non-rigid-foldable patterns such as the flasher, where large relative motion during deployment and geometric constraints at panel interfaces limit the effectiveness of traditional hinge designs. This thesis addresses the precision alignment challenge through the design, prototyping, and experimental testing of novel passive precision hinges for rigid-panel origami-based deployable space arrays. A compact kinematic coupling hinge incorporating Lamina Emergent Torsional (LET) …

Development Of A Low-Cost Roadside Monitoring System For Identifying High-Emitting Heavy-Duty Trucks, Spencer Larson

Theses and Dissertations

This project investigated the feasibility of using low-cost sensors to identify high-emitting heavy-duty diesel trucks through roadside emissions monitoring. A sampling system was designed and tested in both laboratory and field environments to evaluate sensor performance and measurement reliability. In the laboratory, controlled engine testing enabled direct comparison between low-cost sensors and research-grade instruments to establish baseline accuracy, response time, and sources of uncertainty. These tests demonstrated that while low-cost sensors exhibit greater bias and slower response, several are capable of detecting transient emission events. Field deployments revealed that real-world conditions, such as plume dilution, spatial variability, and short exposure …

Spatiospectral Lobes And Radiation Modeling Of Partially Coherent Supersonic Jet Noise, Tyce Wayne Olaveson

Theses and Dissertations

Noise fields generated by high-performance military jets are known to contain acoustic structures that differ from their simulated and lab-scale counterparts. These differences may limit current noise control efforts, which are designed and tested at scale before being considered for full-scale aircraft. One such noise structure is the presence of spatiospectral lobes, which appear as multiple spectral peaks at single microphone locations and multiple radiation lobes in field reconstructions. This dissertation uses data collected from the T-7A jet noise measurement to characterize the spatial behavior of the spatiospectral lobes as well as their first time-domain description. A multiple wavepacket decomposition …

Unlocking The Colleague Next Door, Yoshihiko Ariizumi

Learning, Teaching, & Researching Optimization

The structural barriers that isolate faculty from one another—individualistic reward systems, professional identity protection, disciplinary silos, fragmented time—have been documented in detail elsewhere. This paper begins where that analysis ends. Its sole focus is solutions: what actually works, what you can do without waiting for your institution to change, and most importantly, what you can do today. It is organized in three movements: evidence-based institutional strategies, community-level structures any group of faculty can build, and a granular map of the smallest possible individual first steps—the ones that cost almost nothing and have an outsized probability of changing how you experience …

The Reliability Of Yolo Object Detection On The Amd Versal In A Proton Radiation Environment, Jacob D. Brown

Theses and Dissertations

Object detection is an important operation for satellites to be able to perform, and in outer-space missions it is crucial that machine learning models perform inference on satellite images accurately and reliably. Where size, weight, power, and other constraints exist, meeting this goal for accurate and reliable object detection is challenging. Additionally, soft errors caused by radiation further disrupt and degrade the operation of object detection in satellites. This thesis studies the performance of a deep learning model on an embedded device, the AMD Versal, in the presence of soft errors. The well-known and high-performing YOLO convolutional neural network was …

Unlocking The Colleague Next Door, Yoshihiko Ariizumi

Learning, Teaching, & Researching Optimization

The structural barriers that isolate faculty from one another—individualistic reward systems, professional identity protection, disciplinary silos, fragmented time—have been documented in detail elsewhere. This paper begins where that analysis ends. Its sole focus is solutions: what actually works, what you can do without waiting for your institution to change, and most importantly, what you can do today. It is organized in three movements: evidence-based institutional strategies, community-level structures any group of faculty can build, and a granular map of the smallest possible individual first steps—the ones that cost almost nothing and have an outsized probability of changing how you experience …

The Silent Silos Of Academia, Yoshihiko Ariizumi

Learning, Teaching, & Researching Optimization

We work in an environment rich with latent brilliance. Walk down any corridor of a modern university building, and you pass office after office housing world-class expertise, profound pedagogical insights, and raw intellectual power. In terms of human capital, academic faculty represent arguably the most concentrated pool of cognitive resources on the planet. Yet, a strange paradox haunts higher education: despite living and working in such proximity, university faculty remain profoundly isolated. We operate as solitary islands, locked within our own intellectual silos, rarely leveraging the immense potential of our peers.

This isolation is not a personal choice, nor is …

The Impact Of Response Latency On Perceived Level Of Intelligence And Likability Of Autistic Speakers, Brinley Atkinson

Theses and Dissertations

The purpose of this study was to examine how turn-taking latency and speaker or listener gender affect the perceived intelligence and likability of the speaker across autistic speakers. In addition, the overarching goal of this research is to help speech-language pathologists (SLPs) better provide support and strategies to autistic individuals to improve their social and professional lives. Neurotypical English speakers (20 male and 20 female) were recruited to listen to a series of conversational speech samples collected from a group of eight autistic adults (four male and four female). In each sample, autistic individuals responded to a series of everyday …

Strategic Agency In Action Transforming Academic Life Through Non-Traditional Intellectual Workflows, Yoshihiko Ariizumi

Learning, Teaching, & Researching Optimization

In popular culture and traditional academia, the image of the "productive scholar" is static: a researcher chained to a desk, staring at a screen for eight hours, manually typing out sentences. However, a subculture of modern intellectuals, independent researchers, and creative professionals on the internet is proving that this setup is actually a bottleneck for the human brain.

By experimenting with cognitive offloading, dynamic movement, and collaborative technologies, these individuals have shifted from passive routines to strategic agency. Below are four curated, real-world case studies drawn from intellectual blogs, creators' post-mortems, and digital newsletters that demonstrate how non-traditional strategies unlock …

Real-Time Instruction Internalization For Large Language Models, Brenden Smith

Theses and Dissertations

For the end user, Large Language Models (LLMs) are programs that process natural language inputs into natural language outputs. In popular usage, this tends to take the form of conversation: a user asks a question, provides information, or gives instructions, and the LLM (hopefully) replies in a manner we would expect of an informed and compliant person. While convenient and intuitive for users, this natural conversational format encourages the misconception that LLMs are learning from conversations, when they do not. This work presents the benefits and practicality of a language model paradigm that meets this user expectation -- that is, …

Beyond Pedagogical Inertia: Understanding And Overcoming The Barriers To Effective Faculty Work In Higher Education, Yoshihiko Ariizumi

Learning, Teaching, & Researching Optimization

Academic faculty are among the most educated professionals in the world. Yet a striking body of empirical research demonstrates that they face profound, systematic barriers to performing their own work effectively—barriers that are cognitive, institutional, cultural, and structural in origin. This paper extends the analysis of “pedagogical inertia” beyond the classroom to the full scope of faculty professional life: research, writing, service, advising, and self-directed learning. Drawing on evidence from organizational psychology, cognitive neuroscience, higher education research, and behavioral science, we identify six classes of barriers that consistently impede effective faculty work, and we analyze—with reference to documented successful cases—the …

Neuroscience-Based Intellectual Productivity: A Ten-Principle Methodology For Knowledge Workers, Yoshihiko Ariizumi

Learning, Teaching, & Researching Optimization

This paper presents a comprehensive, neuroscience-grounded methodology for enhancing intellectual productivity among knowledge workers—particularly academic faculty and researchers operating under conditions of chronic cognitive overload. Drawing on ten foundational principles derived from contemporary cognitive neuroscience, we argue that substantial gains in research output, creative ideation, and knowledge integration are achievable not by working harder, but by working in deliberate alignment with the brain’s native computational architecture.

The ten principles address: strategic activation of the Default Mode Network (DMN) for incubation and creative insight; prefrontal cortex (PFC) energy management through temporal task separation; externalization of cognitive load via AI-assisted working memory …

Working Smarter, Not Harder: A Practical Guide To Intellectual Productivity, Yoshihiko Ariizumi

Learning, Teaching, & Researching Optimization

This guide offers general suggestions drawn from recent research. Every person thinks, works, and recharges differently. Please treat what follows not as a checklist to follow slavishly, but as a menu of ideas — pick what resonates, adapt freely, and discard whatever does not fit your life.

Guide For Brain Science-Based Ip Improvement, Yoshihiko Ariizumi

Learning, Teaching, & Researching Optimization

This guide leads to two articles that help you know the practical implications of the recent development of neuro-scientific discoveries.

Land-Use Intensity Of U.S. Wastewater Treatment Facilities By Secondary Process, Robert B. Sowby, Chandler W. Johnson

ScholarsArchive Data

1. Excel workbook of sample data

2. Shapefile of sample site

3. Shapefile of site areas

Faith, Science, And Choice: Vaccine Attitudes Among Religious University Students, Jamie Jensen

ScholarsArchive Data

These data comprise a Q-methodology study conducted at Brigham Young University among undergraduate students to determine vaccine attitudes in relation to religious and political ideologies. It includes raw sort data, templates for running Q-methodology, and interview transcripts.

Engagement Modeling And Inference For Risk-Aware Path Planning Under Adversarial Uncertainty, Grant Stagg

Theses and Dissertations

This dissertation develops methods for planning safe and efficient trajectories for autonomous vehicles operating in environments containing adversarial and environmental threats with uncertain parameters. The central objective is to quantify and control the risk of adverse events--such as interception or detection--when threat characteristics are imperfectly known. To address this challenge, probabilistic weapon engagement zone (PEZ) models are introduced to estimate the likelihood of violating adversarial engagement constraints under uncertainty in pursuer state and capabilities. Multiple computational strategies are developed for PEZ evaluation, including first-order sensitivity-based approximations, Monte Carlo estimation, and neural-network surrogate models. These approaches enable rapid engagement-probability assessment and …

Analysis Of Approximations In Flash Thermal Diffusivity Measurements Using High‑Fidelity Simulations, Tage T. Burnett, Jakob G. Bates, Matthew R. Jones, Christopher R. Dillon, John Tencer

Faculty Publications

Thermal diffusivity is an important material property for understanding and characterizing transient behavior in many heat transfer applications. This study investigates the accuracy and approximations of inverse mathematical models for measuring thermal diffusivity of materials via the widely used Flash Method. High-fidelity simulations of the Flash Method in copper, silicon carbide, silicon, and glass were performed as numerical experiments and included physics such as in-depth absorption, radial conduction, and surface convection. Data from those numerical experiments were used to estimate material thermal diffusivity using seven traditional and new inverse models. Parker’s original model had relative errors 𝜖< 5% when the approximations it makes were enforced in numerical experiments. Newer models performed well even when experimental restrictions were relaxed. Models that include radial heat conduction were capable of accurately measuring thermal diffusivity (𝜖< 1%) when a Gaussian energy source was used. Models with radial conduction and in-depth material absorption of the laser source could calculate thermal diffusivity for semi-transparent materials such as silicon (𝜖< 1%) and even transparent materials like glass (𝜖< 10%). Convective losses from the material’s front surface had a negligible impact on measurements except for very low thermal diffusivity materials. Using temperatures from many locations of the test material’s surface increased resilience to noise, reducing the distribution of thermal diffusivity measurements by more than an order of magnitude. The models developed in this study could enable a more relaxed Flash Method experimental setup that maintains thermal diffusivity accuracy and extend the utility of the Flash Method to semitransparent materials.

Full Issue

The Bridge

No abstract provided.

Mapping The Global Classroom: An Innovation Spotlight On The Ngo Education Survey Directory Database, Angie Holzer, Roseanne M. Mirabella

Journal of Nonprofit Innovation

This article highlights the NGO Education Survey Directory Database as a critical tool for strengthening global nonprofit infrastructure by addressing longstanding gaps in data on nonprofit education programs. It maps the global landscape of nonprofit management education with detailed, institution-level insights, enabling researchers, funders, and practitioners to better understand capacity-building efforts worldwide. By improving transparency and access to information, the directory supports more strategic philanthropy, fosters collaboration, and promotes the development of locally grounded leadership within the nonprofit sector.

Academic Summaries - Philanthropy, Erica Jensen, Sebastian Dorantes, Faith Manchester, Isabelle Stoddard

Journal of Nonprofit Innovation

No abstract provided.

Philanthropy - Joni Full Issue April 2026, Angie Holzer, Erica Jensen

Journal of Nonprofit Innovation

No abstract provided.

A Comparative Study Of Tin Electrorefining In Molten Licl–Kcl–Cacl₂: Experimental Two-Electrode Current Control And Theoretical Three-Electrode Potential Control, Bryant Johnson, George Ankrah, Ander Fuller, Devin Rappleye

Reviews, Analyses, and Instructional Studies in Electrochemistry (RAISE)

Molten salt electrorefining is a mature technology for metal recovery, yet conventional current‑controlled, two‑electrode operation provides limited electrochemical selectivity and restricted insight into electrode‑specific behavior. In this work, a simplified model is developed to compare current‑controlled two‑electrode electrorefining data with a potential‑controlled three‑electrode electrorefining simulation using tin in molten LiCl–KCl–CaCl₂ as a surrogate for plutonium processing. The model examines anodic and cathodic limitations under fixed‑potential operation and evaluates implications for selectivity, efficiency, and runtime relative to experimentally demonstrated two‑electrode performance. Results indicate that independent potential control enables operation closer to thermodynamic selectivity limits, with the potential to suppress impurity oxidation …