Physical Sciences and Mathematics Commons^™

The Biomechanics Of Ursine Predation: Investigating The Force Generation And Mechanical Properties Of Bear Claws And Teeth In Predatory Behavior, Katie Dooley, Megan Doxey, Josh Jewell, Tom Smith

Library/Life Sciences Undergraduate Poster Competition 2024

• Studied over 2,200 human-bear conflicts in North America and witnessed the shear force that bears can exert to access food and eliminate any threats.
• Polar bears at the Hogle Zoo in Salt Lake City punctured and bent high density polyurethane (HDPE) objects when playing with them.
• This prompted research into the force it takes bears to puncture objects with their canines and claws.

Reproduce Or Live Longer?: A Life History Analysis Of Black Bears In A Semiarid Environment, Brenden M. Orocu, Cambria Armstrong, Janene Auger, Hal L. Black, Randy T. Larsen, Brock R. Mcmillan, Mark C. Belk

Library/Life Sciences Undergraduate Poster Competition 2024

In population demographics, each population has an age stage vital rate (fecundity and survival) in its life history that has the greatest influence on the asymptotic population growth rate, λ.

American black bears (Ursus americanus) are found throughout North America. Other studies on population demographics have focused on populations in higher resource availability areas but none in semiarid environments where resource scarcity is a result of the variable climate.

Objective

Our objective was to determine if factors influencing population dynamics of black bears in semi-arid environments were similar to factors affecting population dynamics in mesic environments where …

Cell Motion And Multicellular Organization: A Mathematical Model For Pattern Formation In The Dictyostelium Discoideum Slug, Henry Tullis, Emily Evans, John Dallon

Library/Life Sciences Undergraduate Poster Competition 2024

Understanding multicellular behavior is key to biology and medicine

• Embryonic development requires coordinated cell motion, differentiation
• Wound healing also relies on emergent multicellular processes
• Dictyostelium discoideum (Dd) has been identified as a model organism for biomedical research, partly because it is a simple example of multicellularity
• Understanding Dd can improve, inform approaches to these tricky problems

N-H Nhc Palladium Catalysts Derived From Unique 2-Phosphinoimidazole Precursors For C-C Cross Coupling Reactions And Application Of Slow Releasing Polymers Impregnated With Gibberellic Acid To Overcome Seed Dormancy For Land Reclamation, Alexandra Jean Setelin Larson

Theses and Dissertations

Organometallic chemistry is highly dependent upon the ligands which are employed on a metal's surface. These ligands control steric bulk and electronics of the metal center which can change the reactivity of the organometallic complex. Ligands that are standard in organometallic chemistry include phosphine ligands. These phosphine ligands have been utilized in the field since the 1960's and have shaped the development of many key organometallic catalysts. Phosphine ligands are easily functionalized and highly reactive. This increased reactivity, however, causes severe limitations as phosphine ligands are often unstable under standard benchtop conditions and must be handled both air and moisture …

Silicates As An Explanation For Discrepancies In Atmospheric Modeling Of L-Type Brown Dwarfs, Zacory Shakespear

Undergraduate Honors Theses

Forward retrieval modeling is a powerful method for classifying brown dwarf atmospheres and their physical parameters. However, the results of this method are only as good as the models compared against the data. Silicates in the atmospheres of L-type brown dwarfs have been shown to cause model overfitting around $10 \mu m$, but it is not known what impact, if any, these silicates have on other portions of brown dwarf atmospheric spectra. I report a preliminary negative correlation between model overfitting at $10 \mu m$ and model underfitting from $3.5-4.25 \mu m$ using spectra from two L-dwarfs from JWST and …

Explainable Ai Using Assumption-Alignment Tracking On Multiple Algorithms, Darien Campbell

Undergraduate Honors Theses

Autonomous robots are becoming increasingly prevalent in our everyday lives. In order for humans to effectively take advantage of automated systems, robots need to understand their limitations across different environment states, recognize when they need user assistance, and effectively communicate their assessments to human users. The ability of AI systems to communicate their decision process is referred to as Explainable AI.

Research has already been done on how a robot should evaluate its proficiency to predict how well it can perform a task [1]. This thesis explores current Social Science research on how humans explain their own behaviors. These insights …

Improving Human Recognition Of Deepfakes, Jeremy Mumford

Undergraduate Honors Theses

This thesis is focused on deepfakes, a new term given to fake videos and images generated by deep learning algorithms and models. Deepfakes pose a considerable threat to society by raising the bar for quality in misinformation while also lowering the amount of skill and effort required. Deepfakes threaten to undermine democratic societies by swaying public opinion through misinformation. While many researchers are working hard to develop automated tools to combat deepfakes, this thesis used a 10-item IRB approved survey to examine whether two separate interventions could successfully improve an individual’s ability to recognize deepfakes. Demographic differences in recognizing deepfakes …

Gt-Ches And Dycon: Improved Classification For Human Evolutionary Systems, Joseph S. Johnson

Theses and Dissertations

The purpose of this work is to rethink the process of learning in human evolutionary systems. We take a sober look at how game theory, network theory, and chaos theory pertain specifically to the modeling, data, and training components of generalization in human systems. The value of our research is three-fold. First, our work is a direct approach to align machine learning generalization with core behavioral theories. We made our best effort to directly reconcile the axioms of these heretofore incompatible disciplines -- rather than moving from AI/ML towards the behavioral theories while building exclusively on AI/ML intuition. Second, this …

Development Of N-H N-Heterocyclic Carbene Pd Catalysts For Cross-Coupling Reactions In Organic Synthesis, Rachel Nicole Owens

Theses and Dissertations

The use of N-H N heterocyclic carbene ligands (NHC's) in organometallic chemistry has become a field of interest due to their unique properties that lead to new and interesting reactivity. The hydrogen on the nitrogen of the NHC can be deprotonated, creating an anionic species, or it can participate in hydrogen-bonding with different substrates. In this work we will explore the unique reactivity of N-H NHC palladium complexes in different cross coupling reactions, including the Suzuki-Miyaura and Heck reactions. Our work demonstrates that N-H NHC complexes of palladium can be accessed from 2-phosphinoimidazole ligands via non-oxidative insertion of the palladium …

A Comparison Of Ptychography Programs For Lens-Less Imaging With A High Harmonic Generation Source, Aaron Redd

Undergraduate Honors Theses

High Harmonic Generation provides a coherent source of extreme ultraviolet photons. Tuned to the correct energies, these photons can be resonant with electrons associated with the magnetic moment of many magnetic materials. This thesis provides an investigation into performing ptychographic imaging with a high harmonic source as a step towards performing high resolution imaging of magnetic domains. Three ptychography codes (Ptychodactyl, PyNX, and tike), are compared for image reconstruction quality and ease of use. Tike and Ptychodactyl prove more successful than PyNX. These first two programs reconstruct data from a simple helium-neon laser setup with great success, and tike demonstrates …

Tractor Beams And Disease: Probing Repeat Rna Structure Through Single Molecule Force Spectroscopy, Joshua Webster-Ford

Undergraduate Honors Theses

Huntington’s Disease is characterized by an extended (CAG)n repeat found in the huntingtin (Htt) gene. While the typical human contains 6-20 CAG repeats, people with over 36 repeats manifest symptoms of the disease. The extended CAG repeats allow the Htt pre-mRNA transcript to form a hairpin loop structure which can sequester certain vital proteins such as Muscleblind like protein 1 (MBNL1), hindering their functional role. Further understanding the structure of the MBNL1-RNA complex is possible through force spectroscopy, or “optical tweezers”, applied on the single molecule level. Force spectroscopy generates force versus distance plots for individual RNA molecules, revealing the …

Development Of Bifunctional Peptides As Scaffolds For Bifunctional Catalysis And A Novel Method Of Peptide Stapling Using Squaric Esters, Adam X. Wayment

Theses and Dissertations

Enzymes are some of nature's most powerful tools in chemical processes. However, their molecular complexity makes them difficult to synthesize and complicates their application in traditional organic synthesis. Peptides, a building block of enzymes, can be rapidly synthesized and have been used as a possible alternative in achieving enzyme-like catalysis. However, most peptide-based catalysts are limited in reaction-scope and are unable to incorporate traditional organic catalysts. We have designed a helical peptide scaffold capable of being functionalized with a wide variety of organocatalysts as well as transition-metal based catalysts. In order to understand how the peptide structure effects reactivity and …

Raw Nmr Data For Tripeptides, David J. Michaelis, Scott R. Burt, Mariur Rodriguez Moreno, Nye C. Johnson, Christopher B. Stewart, Mary L. Setelin, Adam X. Wayment, Braxton M. Felix

ScholarsArchive Data

This data set contains primary data for 50 tripeptides that were generated as part of an advanced undergraduate laboratory experience in solid phase peptide synthesis. The raw data can be processed sing NMR interpretation software and can be used as problems for exams and quizzes or as supplementary materials for a laboratory experience

Historical Analysis Of Urban Dust Generated By The Great Salt Lake Playa, Callum Flowerday, Jaron C. Hansen, Rebekah Stanley, Kaitlyn Brewster

ScholarsArchive Data

Historical PM10 filters, provided by the Utah Division of Air Quality, were analyzed for elemental composition of various metals. This was done using ICP-MS.

Also included, EPA PM10 historical data and bathymetry data provided by the Utah USGS.

An Observational Framework For Constructing Ozone Isopleths From Long-Term Monitoring Data: Demonstration In Salt Lake City, Utah, Callum Flowerday, Isaac Sudweeks, Brad Adams, Jaron C. Hansen

ScholarsArchive Data

EPA quality assured data, collected by the Utah Division of Air Quality, was used for this analysis.

New Mathematics Teachers' Goals, Orientations, And Resources That Influence Implementation Of Principles Learned In Brigham Young University's Teacher Preparation Program, Caroline S. Gneiting

Theses and Dissertations

Research in mathematics education shows that new mathematics teachers struggle to implement reform teaching practices that they learned in their teacher preparation programs. In this study, the researcher observed and interviewed three new mathematics teachers (within five years of graduation) to further explore the question of why new teachers use or do not use what they learned in their teacher preparation program. The study uses an expanded version of Schoenfeld's decision-making theory of Orientations, Goals, and Resources. This theory proved useful in the analysis of the research data, providing a framework to incorporate and organize the numerous reasons suggested by …

Usability-Driven Security Enhancements In Person-To-Person Communication, Tarun Kumar Yadav

Theses and Dissertations

In the contemporary digital landscape, ensuring secure communication amid widespread data exchange is imperative. This dissertation focuses on enhancing the security and privacy of end-to-end encryption (E2EE) applications while maintaining or improving usability. The dissertation first investigates and proposes improvements in two areas of existing E2EE applications: countering man-in-the-middle and impersonation attacks through automated key verification and studying user perceptions of cryptographic deniability. Insights from privacy-conscious users reveal concerns about the lack of E2EE support, app siloing, and data accessibility by client apps. To address these issues, we propose an innovative user-controlled encryption system, enabling encryption before data reaches the …

Using Deep Learning Techniques To Find The 4d Slice Genus Of A Knot, Dylan Skinner

Undergraduate Honors Theses

Deep reinforcement learning (DRL) has proven to be exceptionally effective in addressing challenges related to pattern recognition and problem-solving, particularly in domains where human intuition faces limitations. Within the field of knot theory, a significant obstacle lies in the construction of minimal-genus slice surfaces for knots of varying complexity. This thesis presents a new approach harnessing the capabilities of DRL to address this challenging problem. By employing braid representations of knots, our methodology involves training reinforcement learning agents to generate minimal-genus slice surfaces. The agents achieve this by identifying optimal sequences of braid transformations with respect to a defined objective …

Open System Neural Networks, Bradley Hatch

Theses and Dissertations

Recent advances in self-supervised learning have made it possible to reuse information-rich models that have been generally pre-trained on massive amounts of data for other downstream tasks. But the pre-training process can be drastically different from the fine-tuning training process, which can lead to inefficient learning. We address this disconnect in training dynamics by structuring the learning process like an open system in thermodynamics. Open systems can achieve a steady state when low-entropy inputs are converted to high-entropy outputs. We modify the the model and the learning process to mimic this behavior, and attend more to elements of the input …

Reducing Food Scarcity: The Benefits Of Urban Farming, S.A. Claudell, Emilio Mejia

Journal of Nonprofit Innovation

Urban farming can enhance the lives of communities and help reduce food scarcity. This paper presents a conceptual prototype of an efficient urban farming community that can be scaled for a single apartment building or an entire community across all global geoeconomics regions, including densely populated cities and rural, developing towns and communities. When deployed in coordination with smart crop choices, local farm support, and efficient transportation then the result isn’t just sustainability, but also increasing fresh produce accessibility, optimizing nutritional value, eliminating the use of ‘forever chemicals’, reducing transportation costs, and fostering global environmental benefits.

Imagine Doris, who is …

Inference Methods For Token-Level Topic Assignments With Fixed Topics, Stephen Cowley

Theses and Dissertations

Topic modeling, an unsupervised technique used to gain high-level understanding of a large collection of documents, often involves two major goals: The discovery of topics used in the corpus (topic-discovery) and the assignment of topics to individual words (token-level topic assignment). While Latent Dirichlet Allocation (LDA) normally performs both of these steps simultaneously, some situations require only the token-level topic assignments, using fixed topics. We evaluate three topic assignment strategies using fixed topics -- Gibbs sampling, iterated conditional modes, and mean field variational inference -- to determine which should be used when only token-level topic assignment is needed. Among these …

The Fineview Dataset: A 3d Scanned Multi-View Object Dataset Of Fine-Grained Category Instances, Suguru Onda

Theses and Dissertations

In the past decade state-of-the-art deep learning models have shown impressive performance in many computer vision tasks by learning from large and diverse image datasets. Most of these datasets consist of web-scraped image collections. This approach, however, makes it very challenging to obtain desirable data such as multiple views of the same object, 3D geometric information, or camera parameters for a large-scale image dataset. In this paper, we propose a 3D-scanned multi-view 2D image dataset of fine-grained category instances with accurate camera calibration parameters. We describe our bi-directional, multi-camera and 3D scanning system and the data collection pipeline. Our target …

Understanding The Origin, Evolution, And Dynamics Of Transneptunian Binaries, Benjamin C N Proudfoot

Theses and Dissertations

This dissertation discusses research that focuses on understanding transneptunian objects (TNOs) using a variety of techniques and approaches. In Chapter 1, I introduce the main concepts used throughout this dissertation and discuss the current understanding of the transneptunian region. In Chapter 2, I discuss my efforts to understand how Neptune's late stages of migration affect the Haumea family, the only known collisional family in the transneptunian region. Using advanced simulations of Neptune migration, I find that the Haumea family can plausibly form before the termination of giant planet migration and show that this extensively mixes the family. The simplest explanation …

Progress Towards The Development Of Asymmetric Conditions For Intramolecular Heteroatom/Dehydro-Diels-Alder Reactions For Synthesizing Furo[3,4-C] Pyranones And Anticancer Podophyllotoxins, Peter Mpaata

Theses and Dissertations

Furo[3,4-c] pyranone is a unique bicyclic molecular structure found in bioactive sesquiterpene isobolivianine and in artificial cytotoxic stilbene derivatives. The structure of furo[3,4-c] pyranone is analogous to cyclopenta[c] pyran structure found in potent cytotoxic iridoids like catapol. Chiral substrates for intramolecular hetero-Diels-Alder (IHDA) reaction have been synthesized in yields ranging from 39% to 81%. These compounds undergo [4+2] cycloaddition via ambimodal/ bispericyclic process to give a mixture of furo[3,4-c] pyranone in yields ranging 40-70% and aryl tetralin lactone derivatives. Density functional theory (DFT) calculations have been performed to gain insight into the mechanism leading to the formation of these compounds. …

Investigating The Geochemical Trends At The Sediment-Water Interface Of The Shallow And Eutrophic Utah Lake, Abidemi Sherif Aremu

Theses and Dissertations

The sources of phosphorus (P) in Utah Lake can be diverse, including natural and anthropogenic point and non-point sources, such as atmospheric deposition, soil erosion, and industrial and urban wastewater effluents. This study collected interface sediments, column water, porewater, and sediment cores across this vast water body. These samples were then analyzed for their mineralogic, organic, and elemental composition to characterize the geochemical nature of water and sediment at the water-sediment interface within Utah Lake. The average concentrations of P and other elements found in the column water of an individual site do not significantly differ across depth suggesting Utah …

Local Atomic And Magnetic Structure Of Multiferroic (Sr,Ba)(Mn,Ti)O3, Braedon Jones

Theses and Dissertations

We present a detailed study of the local atomic and magnetic structure of the type-I multiferroic perovskite system (Sr,Ba)(Mn,Ti)O3 using x-ray and neutron pair distribution function (PDF) analysis, polarized neutron scattering, and muon spin relaxation (μSR) techniques. The atomic PDF analysis reveals widespread nanoscale tetragonal distortions of the crystal structure even in the paraelectric phase with average cubic symmetry, corresponding to incipient ferroelectricity in the local structure. Magnetic PDF analysis, polarized neutron scattering, and μSR likewise confirm the presence of short-range antiferromagnetic correlations in the paramagnetic state, which grow in magnitude as the temperature approaches the magnetic transition. We show …

Mechanical Characterization Of Vertically Aligned Carbon Nanotube Forest Microelectrodes For Neural Interfacing, Spencer Mcleod Roberts

Theses and Dissertations

Silicon intracortical microelectrodes arrays (MEA) provide some of the best performance for brain computer interfaces but suffer from lifetime limitations that prevent clinical adoption. A primary contributor of lifetime limitations is the chronic foreign body response (FBR) which remains active in response to the brain tissue strain caused by implanted probes during brain micromotion. Designing probes with softer materials can reduce the chronic FBR and improve device lifetime. A high-aspect ratio CNT MEA could provide several advantages as an intracortical MEA but has yet to be mechanically characterized. CNT MEAs are infiltrated with 3 degrees of carbon infiltration and mechanically …

Simulating Government Institutions In Networked Societies, Michael Richards

Theses and Dissertations

Modern human societies give rise to the expression of complex group dynamics between the members of said society due to the abundance of continued interactions. Of particular interest are how institutions affect these interactions between societal members, alter the resulting group dynamics, and impact society as a whole through their rules. Simulating these dynamics allows for greater insight into how these institutions function and allows researchers to pose interesting questions and test hypotheses within a laboratory setting. We present a novel approach to simulating institutions, particularly governments, within a networked society. This approach builds upon the Junior High Game, which …

Tipping The Mesoscales: Advances In Multipeak Bragg Coherent Diffraction Imaging, J. Nicholas Porter

Theses and Dissertations

Material failure begins with strain between atoms and cascades upward into macroscopic damage such as cracks. Therefore, our ability to predict (and therefore prevent) material failure is largely limited by our understanding of this process. This understanding, however, has been impeded by the difficulty of directly observing such phenomena. In this thesis, I discuss recent advances in Bragg coherent diffraction imaging (BCDI) which produce three-dimensional, mesoscopic images of interior strain in microcrystals. In particular, I present a novel algorithm, based on the concept of cyclic-constrained optimization (CCO), for the rapid, coupled reconstruction of a microcrystal from multiple Bragg diffraction patterns. …

Stability Of Metal Fluoride Films When Irradiated With Electron Beam, Devin M. Lewis, Waseem Ashraf

Student Works

LiF is an essential mirror coating for the upcoming LUVOIR space telescope. In order to improve the technology readiness level of this material a study was to be conducted, observing the surface changes of LiF thin films as exposed to humidity for extended periods of time. However, initial attempts to characterize the film with SEM showed that LiF is unstable under all electron beam parameters experimented with. This creates the concern that LiF is also sensitive to other forms of radiation damage. Further investigation may suggest the need to transition to another mirror coating that is more resilient to radiation …