Digital Commons Network^™

Failure For Avon, Failure For Labour A Waterworks Project And The Shortcomings Of Left-Wing Groups In Pre-Wwi Aberdeen, Garrett Mast

The Thetean: A Student Journal for Scholarly Historical Writing

On September 16th, 1909, the Aberdeen Daily Journal ran a single article that encompassed one and a half pages of the ten- page printing. This article did not discuss any national or international news, but rather a town council meeting for the city of Aberdeen in northern Scotland. This meeting was anything but standard procedure, lasting six and a half hours, a record for the council with at least 27 of the 34 councillors participating in the debate. The debate discussed the rather mundane question of from which river the council should seek approval for pumping new drinking water.1 “The …

“No Finger In The Dike Could Have Stopped It” The Effects Of The Governmental Failures Surrounding The Teton Dam Flood, Brooke Wilks

The Thetean: A Student Journal for Scholarly Historical Writing

Lyle H. Moon, mayor of Sugar City, Idaho, was a petroleum man. He drove trucks for the greater area of Southeastern Idaho, supplying all their petroleum needs. On June 5, 1976, his route took him within a mile and a half of the Teton Dam. Unbeknownst to him, the dam had sprung several leaks that morning. Two bulldozer crews labored through the morning, trying desperately to plug the holes. While on his route, radio operators called him and told him to drive away from the dam as quickly as possible. Thinking it was a joke, Moon quipped, “Tell me another …

Japanese Imperial Education In Korea And Taiwan And The Lens Of Reciprocal Assimilation, Devin Sanders

The Thetean: A Student Journal for Scholarly Historical Writing

During the 19th century, the nation of Japan underwent a variety of political, social, and economic changes, including but not limited to events such as the Meiji Restoration in 1868 and the first Sino-Japanese War in 1894-1895. This paradigmatic shift sought to usher in a new era of Japanese dominance on both regional and international scales. Japanese dominance and international relevance, as indicated by Meiji-era domestic and foreign policy, was to be realized through adopting demonstratively successful policies, technologies, ideals, governments, militaries, economic approaches, and even the appearances of Western powers.1 Indeed, influential Japanese leaders such as Fukuzawa Yukichi believed …

The Design Of The Edtech Books Student Facilitator Boot Camp, Nathan P. Standing

Instructional Psychology and Technology Graduate Student Projects

The purpose of the EdTech Books Student Facilitator Boot Camp is to help student facilitators fulfill their responsibilities as content creators by producing high-quality, impactful content on EdTech Books (ETB). ETB is a web-based platform where Open Educational Resources (OER)—such as textbooks, academic journals, and other materials—can be developed and published. Undergraduate and graduate students often assist professors in creating content on this platform. The Boot Camp was designed to guide these student facilitators in creating content that adheres to copyright laws, is accessible, and is optimized for search engines. It also helps students improve the structure of their publications …

Reconstruction From Variable Aperture Measurements Using Band-Limited Inversion Algorithms, Harrison C. Garrett

Theses and Dissertations

The signal reconstruction process from discrete samples is inherently band-limited due to the limited amount of spectral content in the discrete set of measurements. In the case of 1D sampling using ideal measurements, the maximum bandwidth of regular and irregular sampling is well known using Nyquist and Gröchenig sampling theorems and lemmas, respectively. However, determining the appropriate reconstruction bandwidth becomes difficult when considering 2D sampling geometries, samples with variable apertures, or signal to noise ratio limitations. Instead of determining the maximum bandwidth a priori, this thesis introduces the use of a bandlimited inverse to simultaneously reconstruct a signal and determine …

Empowering Local Water Resources Managers With Global Hydrological Model Information Through Bias Correction Of Their In-Situ Data Using Saber, Yubin Baaniya

Theses and Dissertations

There is an increase in the frequency and intensity of water related natural disasters driven by climate change and human activities. While satellite data provides extensive coverage of many climatic variables, streamflow monitoring remains inadequate for effectively responding to water-related hazards, particularly in developing regions that lack integrated gauge networks. This study evaluates how incorporating local streamflow gauge data enhances bias correction of the GEOGLOWS Hydrologic Model (RFS) in gauged and ungauged basins using the Stream Analysis for Bias Estimation and Reduction (SABER) method. We analyzed approximately 19,200 gauge stations globally, using machine learning, spatial analysis and Flow Duration Curve …

Review Of Perspectives On Good Writing In Applied Linguistics And Tesol, Jennifer E. Eidum

Journal of Response to Writing

No abstract provided.

Enhancing Eye Anatomy Education: Integrating 3d Models In Open Educational Resources, Hayley Nickels Yancey

Instructional Psychology and Technology Graduate Student Projects

This project explores how interactive 3D models can enhance eye anatomy education within the framework of open educational resources (OER). Recognizing that students in anatomy and physiology courses often struggle to recognize anatomical structures from multiple perspectives—and frequently lack access to high-quality, low-cost study tools—this project addressed these gaps by designing and developing a custom, interactive 3D model of the human eye. Created using Blender and embedded into a web interface via Verge3D, the model allows users to rotate, zoom, highlight, and isolate structures of the eye, including both external and internal components. The tool was designed specifically for students …

Reassessing The Use Exemption: Constitutional Tensions In The Lanham Act, Caleb Nelson, Abigail Peterson

Brigham Young University Prelaw Review

In today’s global economy, where new products and services are being created and marketed at an unprecedented rate, a fundamental inconsistency exists within U.S. trademark law. While domestic applicants in the United States are required to provide proof of use when applying for trademark registration, foreign applicants are statutorily exempt from providing evidence that they actually use their trademarks. This disparity, which has gone unaddressed for decades, puts small and mid-sized American businesses and individuals at a disadvantage to their foreign counterparts.

Evaluating And Improving U.S. National Water Model Evapotranspiration Estimates Through Eddy-Covariance Flux Tower Observations And Machine Learning Post-Processing, Abin Raj Chapagain

Theses and Dissertations

Despite ET's critical importance in the hydrological cycle, very little has been done to provide ET forecasts at a national level. This study comprises two research chapters examining the National Water Model's (NWM) evapotranspiration (ET) simulations. In Chapter II, we conducted the first comprehensive NWM ET model performance assessment by comparing simulations to eddy-covariance flux tower measurements across the Continental United States (CONUS) on a high-resolution, 1 KM square grid. We clustered results by National Weather Service (NWS) River Forecast Centers (RFCs), land cover classifications, elevation bands, and Köppen-Geiger Climate Zones. The NWM performs best in the Northeast and Ohio …

In-Situ Density Measurement For Enhanced Electrorefining Material Accountancy, Edward Mercado, Carlos Mejia, Ranon Fuller, Devin Rappleye

Student Works

To further enhance the proliferation resistance of electrorefining (ER) processes, precise and reliable analytical methods are essential for determining the inventory of fissile material. This can be achieved by electrochemically measuring the salt concentration and converting it to mass using its density. However, the density within the refiner is not fixed, and small variations in salt composition can significantly impact its thermophysical properties. While an ideal mixing model provides reasonable density estimates (with errors up to 2-3%), such errors are unacceptable when precise material accountancy of fissile material is crucial. This study developed a methodology to measure density in situ …

Imu-Mechanized Discrete Error-State Kalman Filtering With Lie-Group Pose Representations, Daniel P. Koch

Theses and Dissertations

This dissertation investigates methodologies for consistent Kalman filtering with Lie-group based representations of the vehicle pose. Early results are centered around the relative navigation framework, which maintains filter observability and consistency by only tracking the state relative to the latest keyframe of an odometry system such as visual odometry or laser scan matching. A detailed derivation of a relative multiplicative extended Kalman filter, using a quaternion parameterization of the attitude state, is presented for application to multirotor vehicles. The remainder of the dissertation focuses on Kalman filtering using a Lie-group SE(3) pose representation, which improves filter consistency by correctly modeling …

3d Printed Living Hinges In Deployable Origami Structures, Davis Wing, Robert J. Lang, Spencer Magleby, Larry Howell

Student Works

Origami-based geometries are often difficult to prototype and construct. Although methods exist for creating surrogate folds in many materials, doing so often requires multiple manufacturing steps. While engineers studying foldable models can use single-material additive manufacturing to construct living hinges in their models, current techniques are limited. We present an approach for generating living hinges in stowed, deployable mechanisms using single-material 3D printing. This approach enables new models to be constructed with accurate geometry and kinematics in a single print and with no further manufacturing necessary beyond an initial folding step. Additionally, by printing deployable structures in their stowed form, …

Data-Driven Fusion Of Earth Observation And Hydrologic Data To Forecast Flood Extents At Regional To Continental Scales, Kel N. Markert

Theses and Dissertations

Accurate and timely flood inundation forecasts are crucial for mitigating the devastating impacts of floods, which affect 1.47 billion people globally and cause significant economic losses. While traditional flood forecasting methods, such as hydrologic and hydrodynamic models, have limitations in providing comprehensive and spatially explicit inundation information, recent research has focused on leveraging Earth observation data and machine learning for enhanced flood prediction. This dissertation advances the state-of-the-art in data-driven flood inundation forecasting by exploring the capabilities and scalability of the Forecasting Inundation Extents using Rotated Empirical Orthogonal Function (FIER) framework. This dissertation focuses on investigating different aspects of FIER …

Exploring The Effects Of Red-Light Camera System Policy On Intersection-Related Crashes, Nicholas O'Connor

Undergraduate Honors Theses

The number of traffic-related fatalities in the United States is 2.3 times higher than the average rate of 28 other high-income countries (Yellman 2022). Some municipalities have implemented Red Light Camera Systems (RLCSs) to improve intersection safety. However, the effectiveness of these cameras is a topic of ongoing debate, and recent policy shifts have resulted in their widespread removal (Ebeling, 2013). This study investigates the causal impact of a statewide ban on RLCSs in Texas, focusing on how the deactivation of these cameras affects intersection-level crash frequency. Utilizing a difference-in-differences framework, we compare intersections impacted by the ban with those …

Measuring The Growth Of A Bacteria Encapsulated Within A Droplet Of Growth Media Suspended In Oil For Rapid Antibiotic Susceptibility Tests In Microfluidic Devices, Parker Johns

Undergraduate Honors Theses

This study is part of an ongoing project to develop a rapid antibiotic susceptibility test using 3D-printed microfluidic devices to reduce the wait-time for patients with blood infections to receive treatment. My goal was to reduce the cytotoxicity of 3D-printed poly(ethylene) glycol diacrylate microfluidic devices and select an oil suitable for bacterial growth and droplet generation for encapsulation of bacteria in a rapid antibiotic susceptibility test. I tested the growth of Escherichia coli containing a plasmid coding for green fluorescent protein in different environments to assess what factors most affected its growth in microfluidic devices. I found that a 12-hour …

Improvement Of A Novel Motorized Quinoa Washer For Single-Family Farmers, Brooklyn Olson

Undergraduate Honors Theses

Quinoa is an important crop in the Andean region of South America and is often grown by single family farmers. Before eating, quinoa must be washed to remove its saponin coating. The BYU GEO team has developed a quinoa washer to aid these farmers in washing their quinoa. This paper explores areas of needed improvement in the current quinoa washer based on feedback from individual farmers and focus groups. Areas explored include the motor, washer operations, parts and sourcing, and cleaning and use. Results include a promising motor alternative in the form of a powered drill, which decreases cost and …

Machine Learning For Time Series Prediction In Psychotherapy, Ian Goodwin

Undergraduate Honors Theses

The need for quality mental health care is great, but many clinics face limited resources as they work to help clients. Predictions of a client’s future mental state during a course of therapy have the potential to inform decisions by individual therapists and counseling clinics. In this paper, we use archival OQ-45 data from a large university counseling center to examine the ability of many simple, rule-of-thumb predictive methods, as well as more complex methods (ridge regression, random forests, and LSTMs), to predict the next value in a time series of distress scores based on the previous scores. Learned inference …

The Efficient Judges Hypothesis: Testing The Role Of Public Sentiment In Alj Decisions, James Hamilton

Undergraduate Honors Theses

Administrative law judges (ALJs) play a significant role in the appeal process of the United States Social Security Disability Insurance (SSDI) program. This paper tests whether ALJ decisions are ”efficient” - based solely on case characteristics - or influenced by other factors, such as public review. Leveraging the random assignment of cases to ALJs within hearing offices, I analyze variation in ALJ award rates over time. The results show that while case characteristics influence ALJ decisions, they do not fully explain the decisions, suggesting the presence of additional explanatory factors.

I explore the impact of public review on ALJ decisions …

Seeing The Storm: Leveraging Multimodal Llms For Disaster Social Media Video Filtering, Holden Clark

Undergraduate Honors Theses

Emergency management relies on the rapid triage of information to respond appropriately to disaster events. Social media platforms can provide emergency managers with ground-level insights, and videos, in particular, offer an immersive medium for understanding public responses and on-the-ground conditions. However, the overwhelming volume of irrelevant or redundant videos complicates their use for emergency response. This paper investigates the use of multimodal large language models (MLLMs)–specifically the Gemini 1.5 flash model–to automate the identification of relevant videos shared on X (formerly Twitter) during hurricanes. We develop and evaluate a framework to test the accuracy of different prompting styles and question …

Determining The Influence Of Habitat Complexity On Fish Diversity And Abundance In Hawaiian Coral Reefs, Gabrielle Reece Demarco

Undergraduate Honors Theses

Since AUVs maintain heightened levels of identification, advanced system complexity coverage, low taxonomic selectivity, while maintaining large sample sizes and exceptional navigational accuracies, AUVs could be beneficial in certain circumstances. However, since UVC’s tend to have higher biomass identification accuracies and AUVs lack of agility and reactivity increase unidentifiable fish (While increasing biomass coverage), its costs may not justify the means. However, with advances in camera and drone technologies, it may be possible to heighten the identification abilities of AUVs, thus offering a low-interruption solution to fish surveying

Enhancement Of The Edtech Books Editing Tool, Natalie Larson

Instructional Psychology and Technology Graduate Student Projects

As EdTech Books (ETB) expanded to a broader user base, its editing platform required an overhaul to better accommodate authors, particularly those with diverse technical backgrounds. This project focused on redesigning the ETB editing tool to be more intuitive, efficient, and aligned with familiar digital editing conventions. By incorporating principles such as wayfinding, usability heuristics, and cognitive load reduction, the new tool streamlines workflows and enhances usability. Stakeholder collaboration and iterative testing guided refinements. The result is a platform that remains intuitive for novice users while retaining flexibility for advanced editors. While the transition introduced a learning curve for existing …

What Is Faith?, Yoshihiko Ariizumi

Spiritual Proficiency

This article discusses that faith is a concrete concept related with action. A well-studied concept of self-efficacy has so much commonality with faith; thus the related studies can be applicable for us to enhance our faith. Faith is measurable depending our efforts to figure out empirical approaches to do it.

Enhancing Mucus Flow And Clearance By Grafting Zwitterionic Hydrogel Films To Luminal Surfaces, Ryan Horne, Caleb Escudero, Morgan Ellerman, C. Allan Guymon, Marlan Hansen

Faculty Publications

Objective

To determine the effects of zwitterionic hydrogel films on mucus contact angles, flow, and stasis with respect to medical polymer surfaces, both flat and tubular.

Methods

A zwitterionic hydrogel thin film was photografted onto medical rubber surfaces and compared against non-zwitterionic hydrogel thin films and untreated surfaces to determine its impact on mucus contact angles, mucus flow on sheets and tubes, and mucus plugging.

Results

Zwitterionic and conventional hydrogel films significantly reduce the mucus contact angles and the tilt required to initiate mucus flow on sheets and in tubular systems. Preliminary experiments show that these films may also shorten …

Byu Nano-Carbon Physics Lab, Robert Davis Dr., Richard Vanfleet Dr., Felipe Rivera Dr., David Hayes, Nick Allen, Bridget Kemper, Dan Broadbent

Faculty Publications

BYU Nano-Carbon Physics Lab

Started in 2003 by Physics Professors Robert Davis and Richard Vanfleet, who received the BYU Technology Transfer Award in 2024.

Over 81 undergraduate and 21 graduate student projects in the lab have advanced carbon nanotube (CNT) research.

Applications of research from the lab have resulted in over 30 patents, many of which have been licensed to companies for use in the world.

This display showcases highlights of work done in the lab.

Uncertainty Propagation And Sensitivity Analysis For Constrained Optimization Of Nuclear Waste Vitrification, Lagrande Gunnell, Xiaonan Lu, John D. Vienna, Dong-Sang Kim, Brian J. Riley, John Hedengren

Faculty Publications

The vitrification of high-level waste (HLW) by heating a mixture of glass-forming chemicals (GFCs) with the waste can be improved using a constrained optimization problem. This study explores how different uncertainty propagation (UP) methods implemented with the optimization process can affect the glass formulation of nuclear waste glasses. UP is the effort of propagating uncertain inputs through a system to understand and quantify output distributions. Uncertainty intervals are crafted from output distributions to inform the optimization algorithm. UP is often implemented with Monte Carlo (MC) sampling for large nonlinear systems, which can be difficult to implement within a constrained optimization …

Post-Irradiation Fault Injection For Complex Fpga Designs, Nathan G. Baker

Theses and Dissertations

Fault injection is a common technique for estimating the impact of single-event upsets (SEUs) within the configuration memory (CRAM) of an FPGA design. Fault injection is typically conducted prior to a radiation test to evaluate the effectiveness of SEU mitigation techniques, estimate the FPGA design's behavior at the radiation test, and prepare the radiation test infrastructure. This thesis explores how fault injection can be used after radiation testing to reveal additional insight into an FPGA's behavior during a radiation test. A unique methodology, referred to as post-irradiation fault injection (PIRFI), was developed in which the locations and timestamps of CRAM …

A Multi-Model And Multi-Agency Approach To Expand The Flood Inundation Mapping Capacity Of The Us National Water Center, Samuel Jay Oldham

Theses and Dissertations

The most accurate numerical model for simulating flood extents of rivers has long been a subject of debate. While specialized models exist for specific hydraulic features, we advocate for the principle that the best model is the one the user is familiar with, has adequate data to support input requirements and limitations, and will consistently employ. To support this approach, we have developed a database schema optimized to store riverine flood inundation model output files. This schema is designed to assist U.S. cities, counties, states, and other flood management agencies in leveraging their existing model-generated flood maps, regardless of the …

Compliant Parallel-Guiding Mechanisms Scaling Data, Jared Hunter, Larry L. Howell Dr.

ScholarsArchive Data

Force/displacement and strain data is captured for various geometric scales of compliant parallel-guided mechanisms.

Potential Of Individual Upper-Limb Muscles To Contribute To Postural Tremor: Simulations From Neural Drive To Joint Rotation, Spencer A. Baker, Landon J. Beutler, Daniel B. Free, Dario Farina, Steven Knight Charles

Faculty Publications

Background: It is unclear which muscles contribute most to tremor and should therefore be targeted by tremor suppression methods. Previous studies used mathematical models to investigate how upper-limb biomechanics affect muscles’ potential to generate tremor. These investigations yielded principles, but the models included at most only 15 muscles. Here we expand previous models to include 50 upper-limb muscles, simulate tremor propagation, and test the validity of the previously postulated principles. Methods: Tremor propagation was characterized using the gains between tremorogenic neural drive to the 50 muscles (inputs) and tremulous joint rotations in the 7 joint degreesof- freedom (DOF) from shoulder …