Fine Arts

Authors: McKayla Ridenour. Mentors: Alex Giannell. Insitution: Utah Valley University. "DID" is a painting that delves into the concept of duality within myself. The painting explores my vulnerability as its subject matter. As someone with Dissociative Identity Disorder (DID), I am displaying myself and another personality in the artwork. I aim to shed light on those suffering from DID and other mental conditions. I used a lot of glazing and subtractive methods to achieve the desired effect during the painting process, such as complex darks and layering of paints.

Authors: Brittany Cowley. Mentors: Meaghan Gates. Insitution: Utah Tech University. Art, to me, is an experience, one in which an object, sound, or movement has the ability to evoke an emotion in the viewer, taking them from spectator to participant. Since the first time I laid hold of a ball of clay, I could feel its life and ability to be transformed. This organic material has the potential to become whatever someone can dream up. For the true meaning behind the art piece to come forth and pass to the viewers, a sculptor must fully understand what they are trying to convey and how to best accomplish that. Through sculpting and directing the clay, a form takes place. This is just the first step on the path of creating a sculpture that can evoke emotion in the onlooker. Gestures, textures, and glazes are all added to enhance the feelings of the creator.Franz Xaver Messerschmidt created a series of “Character Heads”. I first came across his work at the Getty Museum when I came face to face with The Vexed Man. Mesmerized by this face, I became fully aware that I had become a participant in his sculpture. The bust of this man is elegantly carved with great care yet reveals the most unusual expression. The nose is scrunched up, eyes tightly shut, and mouth drown into an almost pouty frown. On display at this museum of elite, prestigious sculptures, is a piece that at first glance seemed unsuited to occupy the space, yet through the dichotomy displayed it evoked lasting emotions within me. I have discovered a joy in portraying dichotomous relationships in my own work. This relationship is the marriage of two opposing concepts in one piece. A brightly colored, playful child in the process of self-harm or two decomposing hands embraced in a tender touch can speak emotional volumes to the viewer. The thought-provoking questions that run through their minds allow viewers to start participating in the sculptures. Working alongside my mentor, an expert in the field of emotional sculptures, Professor Gates, I seek to more fully explore the world of conflicting emotions in my sculptures. I will be looking into what dichotomies in different forms produce strong emotions when placed alongside one another. Additionally, I am exploring what glazes and textures can be added to enhance the emotional exchange between the creator and the participant. Within the world of ceramics, glazes are used to add texture, color, sheen, and durability to the fired clay. I believe they can also enhance emotions as well. Through creating sculptures that demand the viewer to stop, take a second look, and question, I hope to enable people to reflect on what they are viewing and see their reality more clearly.

Authors: Melissa Wiggins, Aaron Bigelow, Porter Ellis. Mentors: Ronald Sims. Insitution: Utah State University. Ensuring that the hydrophilic coating of Merit Medical’s Prelude IDeal trans-radial catheter is necessary for its biocompatibility and patient safety. The current method for testing the coating involves a test using Congo Red Dye. The Congo Red Dye does work, but the dye is toxic and all tested catheters must be discarded after testing. The Conge Red Dye test results in wasted catheters. A new method for testing the coating uses fluorescent particles. First, fluorescent particles are added to the hydrophilic coating. These fluorescent particles can be easily visualized on the catheter using UV light. Thus, the uncoated portions of the catheter can be visualized as well. The coated catheters are placed into a black box that ensures only the catheter is being seen. A line scan camera is used to take pictures of every side of the catheter as the catheter spins. Photos of the scanned catheter are then linked together, showing the entire circumference in one picture. The catheter is ultimately tested by analyzing the full picture to find any uncoated regions. By using software to analyze the full picture, the size of uncoated regions is determined with greater accuracy. This new method allows for tested catheters to be used after testing and does not involve any toxic chemicals.

Authors: Chase Mortensen, Juhyeong Lee. Mentors: Juhyeong Lee. Insitution: Utah State University. Foldcore sandwich composites (FSCs) are constructed using multi-layered sheets folded in a desired pattern and placed between two thin face sheets. The choice of material geometric folding pattern provides a large design space to optimize the structural performance of FSCs. These composites are typically made of carbon fiber reinforced polymer (CFRP) composites, offering lightweight and high-energy-absorbing properties. This work aims to characterize the size effects of unit-cell foldcores by analyzing the influence of subscale foldcore models subjected to periodic boundary conditions under quasi-static compression. Three Miura-based unit-cell foldcore models were considered: (1) 1×1, (2) 1×2 (two 1×1 unit-cell foldcores connected in parallel), and (3) 2×1 (two 1×1 unit-cell foldcores connected perpendicularly). Through finite element modeling, three key findings were derived: 1) the finite element model closely replicated experimental results; 2) the application of periodic boundary conditions had an insignificant impact on subscale foldcore models. Third, inconsiderable variations in stress and damage were observed primarily along the foldcore creases when unit-cells were placed in parallel.

Authors: Samuel Stearman, Benjamin Crapo, Antonio Trujillo. Mentors: Jeff Hill. Insitution: Brigham Young University. Our goal at BYU SMASH IT lab is to improve patient’s mobility in rehabilitative settings. For this purpose, we’re modeling the human arm to aid in our design of wearable rehabilitative sleeves. We are investigating methods for manipulating elbow flexion and extension using an assistive elbow brace, such as through cable-driven movement and the less used concept of tensegrity. The appeal of these methods is their flexibility, lightweight, and multiple degrees of freedom in movement. In the prototyping stage we’ve created a test stand resembling a human arm that we use to evaluate how our elbow brace would interact with the wearer and measure the forces between the arm and the brace. Measurements from these tests will aid in our design of a future elbow brace. Knowledge gained from this work has the potential to apply to other joints, each with their own rehabilitative and other uses.

Authors: Jessica Crook, Brooke Parker, Michael C Rotter. Mentors: Michael C Rotter. Insitution: Utah Valley University. Fremont cottonwoods are a foundation species throughout the Wasatch front. Cottonwoods face a competitive threat from the invasive tamarisk, which grows very easily in the same habitats. Tamarisk can have a negative impact on cottonwoods, displacing them. The loss of cottonwoods could have negative impacts on ecosystems. This study will examine phytochemical compounds in cottonwoods, and how they are affected by growing in competition with tamarisk. We hypothesize that cottonwoods growing in competition with non-native tamarisk will be stressed and produce higher levels of phytochemical compounds. To test our hypothesis, cottonwoods were grown in pots from cuttings either in competition with a tamarisk cutting, or alone. We then tested total phenolics using a ferric chloride solution, and tannin content using a radial diffusion method. It’s predicted that due to the stress of competition, cottonwoods that grew with tamarisk will have higher overall phenolics and tannins than cottonwoods that were grown on their own. The results of this trial could be important in influencing beaver foraging patterns. Since beavers prefer trees with elevated levels of phenolics and other phytochemicals, this could imply an important mechanism allowing tamarisk to invade an area by stressing cottonwoods and encouraging beaver foraging on these plants.

Authors: Sophia Hessami. Mentors: Elizabeth Vargis. Insitution: Utah State University. Age-related macular degeneration (AMD) is the leading cause of blindness in developed countries. During later stages of AMD, immature blood vessels penetrate Bruch’s membrane and release fluid into the subretinal space. This process is referred to as choroidal neovascularization (CNV). Current in vitro models of retinal tissue are limited, so we propose a three-layered microfluidic model of the subretinal tissue, consisting of retinal pigment epithelium (RPE), Bruch’s membrane (BrM), and choroid. We have produced models of BrM using hagfish proteins that are more mimetic to the nonporous, proteinaceous BrM that is seen in vivo. Then, we fabricated a three-layered microfluidic device using the BrM models and polydimethylsiloxane (PDMS). Once the devices were assembled, porcine primary RPE were isolated, cultured, and characterized in the upper channel of the microfluidic device. Going forward, HUVECs will be cultured and characterized in the lower channel of the device. Then, primary RPE and HUVECs will be co-cultured and characterized within the device. The result will be a multilayered microfluidic device containing primary porcine RPE, hagfish protein BrM models, and human umbilical vein endothelial cell (HUVEC) choroid. It is expected that RPE protein secretions will diffuse through the BrM models and initiate interconnected vascular network formation in the endothelial cells. In the future, we will induce chemical hypoxia to turn this model into a diseased model of the subretina. We hypothesize that this in vitro model of the subretinal tissue will lead to a better understanding of the mechanisms of CNV initiation and progression in AMD.

Authors: Porter Bischoff, Kody Garrett, Clayton Rawson. Mentors: Britt Wyatt, Josh Premo. Insitution: Utah Valley University. This research delves into the underexplored territory of medical experiences and their potential impact on undergraduate students' motivation in STEM courses. While prior studies have focused on factors like gender and ethnicity in STEM, little attention has been given to the influence of medical experiences and chronic conditions on STEM students, despite evidence suggesting that students with medical conditions face unique challenges in completing their degrees.Our study specifically investigates the effects of medical experiences and chronic conditions on students enrolled in science classes at an open enrollment institution. We hypothesize that increased academic interruptions due to medical experiences may lead to decreased science motivation, reduced sense of belonging, self-efficacy, and self-determination.Data was collected from 390 students across 14 biology courses, including non-majors, at a teaching-focused institution, both before and after the courses. Surprisingly, 57% of surveyed students reported having a medical experience, and 22% reported having a chronic condition, highlighting the significance of this identity within the student population.As anticipated, students experiencing more medical interruptions exhibited a notable decrease in their sense of belonging and self-efficacy, albeit with a small effect size. Intriguingly, students with medical experiences who engaged more with science demonstrated significantly higher levels of science immersion and motivation. This suggests that medical experiences can influence student engagement with science, both positively and negatively. The impact of these interruptions on a student's academics is closely linked to their sense of belonging and self-efficacy. However, if medical experiences drive increased engagement with science, students may find themselves more motivated to explore these experiences within the context of scientific inquiry.Understanding how medical experiences can shape students' motivation is essential as science instructors adapt their course content and pedagogy to be more inclusive, embracing the diverse identities within their student population.

Authors: Brett Pickett, Lincoln Sutherland, Jacob Lang. Mentors: Brett Pickett. Insitution: Brigham Young University. Introduction: Breast cancer is one of the most prevalent types of cancer present in society today, and is the second leading cause of cancer death for women. Approximately 13% (1 in 8) of women will develop invasive breast cancer, with 3% of women (1 in 39) dying from this type of cancer. Three important classifications used when formulating a treatment plan for breast cancer are the presence or absence of Estrogen Receptor (ER), Progesterone Receptor (PR), or Hormone Receptor (HR). Treating Estrogen Receptor Positive (ER+) breast cancer with aromatase inhibitors, such as Letrozole, is the current standard treatment for all postmenopausal women. A prior study by Lee et. al. identified PRR11 as the only gene that was significantly overexpressed in resistant vs non-resistant cancers among the 51 genes in chromosome arm 17q23. The goal of the current study is to perform a secondary analysis of this valuable dataset to identify genes, signaling pathways, and biomarkers across the whole human transcriptome that are significantly associated with treatment resistance in ER+ patients.Methods: We retrieved, preprocessed and analyzed 58 ER+ breast cancer samples from patients who had been treated with Letrozole, which are publicly available in the NCBI Gene Expression Omnibus (GEO) database. The Automated Reproducible MOdular Workflow for Preprocessing and Differential Analysis of RNA-seq Data (ARMOR) was used to process our data downloaded from NCBI. This workflow trimmed low quality reads from the RNA-sequence reads, mapped and quantified our data to generate a DEG list. Gene ontology enrichment with camera was also performed. Next, the genes were mapped to common gene identifiers and input to the signaling pathway impact analysis (SPIA) algorithm to identify intracellular signaling pathways that were enhanced by our DEGs. With that information, Pathway2Target was used to identify known drug targets within our identified pathways. Finally, a decision tree-based machine learning approach was used to predict features/expressed genes that could be used to most accurately classify responders vs nonresponders to Letrozole. Results: Our comparison of 36 responders versus 22 non-responders detected a total of 18,735 genes and identified 105 that were statistically significant (p-value < 0.05) after applying a false-discovery rate (FDR) correction, including SOX11, S100A8/S100A8, and IGLV3-25. We then used the Signaling Pathway Impact Analysis (SPIA) algorithm to determine whether any known intracellular signaling pathways were significantly enriched in DEGs (Bonferroni-adjusted p-value < 0.05). This analysis identified 4 pathways that were statistically significant in Non-Responders to Letrozole Treatment. We then used the pathway results to predict 60 existing therapeutic targets that could be repurposed to treat the resistance phenotype. Notably, the predicted targets for the non-response phenotype included VEGFA, a current target for solid tumors as well as ESR1, an Estrogen Receptor. We next wanted to determine whether we could predict transcriptional biomarkers that could aid with identifying patients that do not respond to treatment. To do so, we used the read counts for all samples as the input for this analysis and identified 278 transcriptional biomarkers. Performance metrics for all biomarkers identified yielded an area under the receiver-operator characteristic (AUROC) curve of 0.972 (Figure 2), indicating an exceptional ability to classify Letrozole responders vs non-responders by the transcriptional profile. Sensitivity for all transcriptional biomarkers was measured at 100%, and specificity at 94%. We used the top two biomarkers from our first analysis as input for a second analysis to determine the performance of a smaller subset. Our second analysis determined that PRDX4 and E2F8 together yielded an AUROC of 0.823 and an overall accuracy of 88.2%. Discussion:Our results identify additional DEGs, pathways, targets and biomarkers for further exploration in the treatment and categorization of ER+ breast cancer.

Authors: Ethan Layne, Tareq Hassan. Mentors: Juhyeong Lee. Insitution: Utah State University. A key design criterion for aerospace structural applications is specific mechanical property (i.e., mechanical property divided by the density of a material). Honeycomb sandwich panels which are commonly used in aerospace/aviation structural applications provide lightweight performance, however they have several drawbacks. They include (1) limited alteration of core geometric parameters, (2) few core material selections, and (3) a closed-cell core network. These limitations may be bypassed with 3D-printed lattice-core sandwich panels to provide customizable structural performance. This study investigates impact resistance of architectured sandwich panels designed with various core designs and infill densities. A series of 5~20J low-velocity impact (LVI) tests will be performed on 3D-printed ABS sandwich panels with honeycomb, gyroid, and triangle cores; with infill density varying from 5% to 15%. In this work, the effects of core geometry and corresponding infill density on LVI resistances will be studied to optimize the structural performance of 3D-printed ABS sandwich panels. The primary objective of this study is to characterize these novel sandwich structures with highly customizable 3D-printed complex cores, offering tailorable structure performance.

Authors: Evelyn Fuentes, Thomas Keate, Christian Riordan. Mentors: Aaron Davis. Insitution: Utah Tech University. Studies predict that extreme weather events, due to climate change, are expected to increase in frequency and magnitude. Specifically, the flooding impacts from a hurricane may lead to the loss of necessary infrastructure, such as water treatment plants, leading to the loss of drinkable water. In response we, as a multidisciplinary team, have developed a purification device that is able to effectively filter water to allow communities and families, without available infrastructure, to receive drinkable water. We are testing different processes of filtration to find the most efficient and cheapest method. This process of filtration would be possible due to a foldable solar array that would power a pump to push water through a filtration system. The solar array would supplement other disaster relief options due to its ability to be used without constant supervision, and it would be capable of continuous, reliable use. This device would allow for the production of drinkable water in the event that water purification infrastructure was down, but grey water was available. The solar array and water purification device would be portable for fast deployment, with options of building a larger device, as part of a disaster relief preparedness package. If successful, this device has the potential to increase disaster preparedness and save lives through providing clean water.

Authors: Rob Patterson, Nate Graham. Mentors: Sally Rocks. Insitution: Utah Valley University. The pervasive use of pesticides in agricultural practices has raised environmental concerns due to their potential to contaminate water bodies and affect aquatic ecosystems. This study focuses on the identification and quantification of three common pesticides—atrazine, 2,4-dichlorophenoxyacetic acid (2,4-D), and dichlorodiphenyltrichloroethane (DDT) in Utah Lake.. Utilizing advanced chromatographic and spectroscopic techniques, including Gas Chromatography-Mass Spectrometry (GC-MS) and High-Performance Liquid Chromatography (HPLC), we aim to detect the presence and determine the concentration levels of these substances. Water samples were collected from multiple points around the lake to assess the spatial distribution of the pesticides. The method development involves optimization of sample preparation procedures, including solid-phase extraction (SPE) and cleanup, to increase the detection sensitivity and accuracy. This project enhances environmental monitoring and has implications for water quality management, regulatory compliance, and public health in the region. The anticipated results will contribute to a better understanding of pesticide pollution patterns and will aid in formulating strategies to mitigate the contamination of aquatic environments.

Authors: Cassandra DuBose Corry. Mentors: Elizabeth Vargis. Insitution: Utah State University. Age-related Macular Degeneration (AMD) is characterized by a blurring of the central vision and is one of the leading causes of vision loss in the United States. As a branch of the disease, exudative AMD is distinguished by retinal angiogenesis, when new blood vessels grow into the retina. Understanding retinal conditions that promote or discourage angiogenesis by using mathematical models can lead to improved understanding of disease progression and treatments. This discrete mathematical model presented here uses the theory of reinforced random walks to simulate the biological behavior of endothelial cells (ECs) as they leave a parent blood vessel and travel through the choroid and Bruch’s membrane towards the retinal pigment epithelial (RPE) layer. Cell behavior such as number of divisions and blood vessel coverage are analyzed for comparison to experimental observations. Pigment epithelium-derived factor (PEDF) is included and examined for its effect on the behavior of the ECs and its ability to prevent angiogenesis. This computational model provides novel insights into exudative AMD with parameters that can be adjusted to meet different needs.

Authors: Aubrey Russell, Ben Paepke, Nathan Goldfarb. Mentors: Nathan Goldfarb. Insitution: Utah Valley University. Tuberculosis (TB) remains an insidious scourge of civilization. The causative agent, Mycobacterium tuberculosis (Mtb), is a global health crisis, and TB ranks as the second leading cause of death from an infectious disease worldwide after COVID-19. In 2021, there were approximately 1.6 million deaths reported from TB (including 187,000 people with HIV) and an estimated 10.6 million new infections. Additionally, multidrug resistant TB remains a public health crisis. An initiative of “The Global Plan to End TB” is the development of rapid, point-of-care diagnostic assays for the early diagnosis of TB.2 Here we present our initial efforts towards the goal of the development of a rapid, lateral flow assay (LFA) for the detection of Mtb.

Authors: Joshua Hutchins, Kevin Wong. Mentors: Dario Mizrachi. Insitution: Brigham Young University. Tight junctions (TJ’s) are composed of mainly three types of cell-adhesion molecules (CAMs) that regulate paracellular permeability in epithelial and endothelial cells. These are claudins (CLDNs), occludin (OCLN), and junctional adhesion molecules (JAMs).There are, however, several (27) isoforms of the claudin molecule, all of which are suspected to have different strengths and other properties in cell adhesion. Currently, the comparative strength of the interactions between different CAMs are unknown and no easily replicable model of a TJ has been created. To address this question we resourced to bacterial expression of these mammalian proteins. MG1655 E. coli cells (with flagellum) were transformed to express claudins 1, 2, 3, 5, and 10 as well as occludin and plated on 0.2% agar plates, allowing them to swim overnight. This allowed for a qualitative spectrum of strengths of the CAMs based on how far the cells were able to spread throughout the plate. Cells that interacted strongly swam less. This technique was applied to the case of the Atlantic Salmon. It swims both in fresh and ocean water. As it transitions, the TJs in its skin changes its composition of claudins. We were able to determine that the set of claudins employed during ocean water swimming are capable of stronger strength. This is consistent with the changes in osmolarity dictated by the amount of solute in the ocean water.

Authors: Lukas Keller, Jixun Zhan, Zhen Zhang. Mentors: Jixun Zhan. Insitution: Utah State University. Curcumin is a common dietary supplement found naturally in the plant turmeric (Curcuma longa). Native to South Asia, the turmeric plant has been an important component in Indian and Chinese folk medicine. Curcumin has long been known to be an effective antioxidant and possesses anti-inflammatory properties. In today’s world, curcumin is a common nutraceutical and plays a part in the billion-dollar supplement industry. However, production and extraction of this compound is difficult and uses vast amounts of resources to cultivate. One solution to produce natural products like curcumin is the use of metabolic engineering to synthesize the product in another organism. The USU Metabolic Engineering Lab has developed a synthetic metabolic pathway to produce curcumin from an amino acid inside genetically transformed E. coli. The use of metabolic engineering techniques can produce larger quantities of the desired compound in greater quantities and purities while using a fraction of the land, water, and energy. To inform the use of these techniques, a predictive computational pathway was developed and is being validated with experimental results. An effective model can help researchers and businesses by allowing them to accurately predict curcumin yield and concentration during production.

Authors: Hunter Morrill, Ryley Parrish. Mentors: Ryley Parrish. Insitution: Brigham Young University. Spreading depolarizations (SDs) are slow propagating waves of depolarization that move through the brain and have been associated with a wide variety of neuropathologies including the termination of seizures, the cellular correlate of aura in migraines, traumatic brain injury, and ischemic stroke. Though first characterized by Aristides Leão in the 1940s, only a very limited understanding of the mechanisms of SD induction has been achieved. SDs have been induced in mouse models using a variety of techniques, however regardless of the method of induction, high extracellular potassium and/or a strong cellular depolarization have been largely hypothesized as necessary conditions for SD induction. Interestingly, we have recently demonstrated that using a light-induced chloride pump (Halorhodopsin) to drive chloride ions into the neurons can reliably induce SDs even in the absence of high extracellular potassium levels (Parrish, 2023). It was also demonstrated that the triggering of archaerhodopsin, which removes protons from the cell and therefore hyperpolarizes the neuronal membrane without affecting chloride levels, did not induce SDs, suggesting the implication of chloride loading as a primary mechanism in SD induction. This challenges the prevalent hypothesis regarding the induction of SDs and results in a novel method of induction that allows for more characterization of the mechanisms involved. The use of genetically expressed light-gated ion channels or pumps is referred to as optogenetics. Using zebrafish, a common model for electrophysiology recordings that is also cost-effective to genetically manipulate, we have established an optogenetically induced model of SD induction. We are currently characterizing mechanisms that result in optogenetically induced SDs with pharmacology to further our understanding of SD initiation and propagation.Parrish, R. R.-G.-T. (2023). Indirect Effects of Halorhodopsin Activation: Potassium Redistribution, Nonspecific Inhibition, and Spreading Depolarization. The Journal of neuroscience: the official journal of the Society for Neuroscience, 43(5), 685-692.

Authors: Zach Moore, Owen Benzley, Austin Flitton, Frederic Schaper, Jared Nielsen. Mentors: Jared Nielsen. Insitution: Brigham Young University. Objective: Identify neural networks that are associated with panic disorder symptoms through lesion network mapping.Background: Panic Disorder is a neurological disorder in which one experiences unexpected and reoccurring panic attacks. Panic attacks can be characterized by the following symptoms: trembling, racing heart, excessive fear and worry, weakness, tingly hands, chest pain, or a feeling of unreality. A proposed circuit for panic disorder includes the amygdalofugal pathway, which deals primarily with the amygdala. The lesion network mapping method uses functional connectivity to identify neural networks associated with symptoms arising from brain lesions. This is a benefit compared to previous studies done on panic disorder because it relates brain circuits to symptoms rather than individual regions.Methods: 21 lesions causing Panic Disorder were found in the literature, traced on a standard template, and analyzed using lesion network mapping. Specifically, lesion networks for each lesion were calculated using a large cohort of healthy control resting state scans (N = 1000). In our sensitivity analysis, overlap between lesion networks was observed. Results: Of the 21 lesion networks, 14 (67%) positively overlap on the parahippocampal gyrus in the sensitivity map; 13 (62%) positively overlap at the ventral tegmental area in the sensitivity map.Discussion: Symptoms of panic disorder may be associated with the parahippocampal gyrus and ventral tegmental area of the brain. These results found are unique compared to previous studies, but do have general connections.

Authors: James Blood, Nathan Sheets, Chase Seiter, Lydia Hawley, Erin Taylor, Eliza White, Hillary Wadsworth, Jason Hansen, Jordan Yorgason. Mentors: Jordan Yorgason. Insitution: Brigham Young University. Microglia are the immune cells of the brain and are activated by many drugs of abuse. One drug of abuse of interest is methamphetamine, which is known to increase reactive oxygen species (ROS). Microglia are sensitive to ROS. Methamphetamine changes microglia morphology. To determine if the effects of methamphetamine on microglia are through ROS, glucose oxidase, which reacts with glucose to form hydrogen peroxide, was applied. Glucose oxidase increased ROS production and decreased dopamine release but had little-to-no effect on ATP release. Glucose oxidase has similar effects on microglia morphology compared to methamphetamine. This suggests that methamphetamine effects on microglia are due to ROS production. Methamphetamine locomotor sensitization behavioral experiments were run to mimic repeated methamphetamine exposure. Along with voltammetry experiments to measure dopamine and ATP release, methamphetamine treated animals were used to detect microglial morphology changes using confocal microscopy. Our methamphetamine treatment was able to change microglial morphology compared to saline treated controls. Methamphetamine injected animals also had attenuated glucose oxidase effects on dopamine release. By understanding how neuronal outputs affect microglia activity in the context of psychostimulant use we can better parse out how the mechanisms of addiction are connected to immune system function.

Authors: Joshua Evans, Allison Voyles, McKenzie Bellon, Julianne Grose. Mentors: Julianne Grose. Insitution: Brigham Young University. Alpha-crystallin B (CryAB) is a small heat shock protein that acts as a molecular chaperone and plays an essential role in cytoskeletal organization and myofibril function. Human mutations in CryAB have been associated with various diseases, such as cardiomyopathy and cataracts. However, the precise molecular pathways and protein substrates of CryAB are not yet fully understood and require further investigation. This project aims to increase understanding of CryAB by determining proteins that bind wild-type versus disease-causing variants using yeast two-hybrid screens. It also involves testing for binding specificity of variant-binding partners. A series of these Y2H screens gives valuable information regarding the binding patterns of CryAB, showing distinct binding partners for different alleles of CryAB. Overall, the project provides greater insight into the molecular functions of CryAB as well as a better understanding of the dysfunctional pathways of its disease-causing variants—a factor which may, in the future, have potential applications to the treatment of related diseases in a clinical setting

Authors: Noah Bezzant, Mikayla Kimball, Ashley Allan. Mentors: Brent Feland. Insitution: Brigham Young University. BACKGROUND: General knee pain is a common complaint among both athletes and older adults. Osteoarthritis is a common etiology for knee pain that can interfere with function during aging and can be assessed by validated questionnaires. It remains unclear whether there exists a dose–response relationship between cartilage loss and pain worsening. Articular cartilage thickness of the femoral condyles can be measured by ultrasound imaging and few studies utilizing this form of measurement exist. It is currently unknown if articular cartilage thickness measured ultrasonographically correlates with pain related ratings in aging athletes. PURPOSE: The aim of this study was to assess whether articular cartilage thickness at the femoral condyles as measured by ultrasound imaging has any relationship to knee pain as rated by the modified KOOS (Knee Injury and Osteoarthritis Outcome Score) survey in senior athletes over the age of 50.METHODS: Data was collected from 35 volunteers (participants in the Huntsman World Senior Games) in St. George, Utah, 2023. All subjects (22 females: mean age = 64.9 ± 6.6 yrs, Ht = 158.7 ± 35.6 cm, Wt= 66.3 ± 10.0 kg; 13 males: mean age = 67.3 ± 8.3 yrs, Ht = 179.3 ± 10.7 cm, Wt= 84.3 ± 13.4 kg) signed an approved consent and completed a modified KOOS survey before being seated on a table, with their back flattened against the wall directly behind them. They were then asked to bring either knee as deeply into flexion against their torso as possible; approximating 120°-140° of knee flexion, depending on the range of motion the subject was capable of. In flexion, the patella was shifted inferiorly enough to expose the femoral condyles so that a short axis image of the articular cartilage was obtained and the thickness of the cartilage was assessed at 3 points.ANALYSIS: All data were analyzed using JMP ver16.2 with a Pearson product pairwise correlations to determine if a relationship between average cartilage thickness correlates with pain subscale scoring from the KOOS in males and females. Correlation between age and thickness was also examined.RESULTS AND CONCLUSION: There were no significant correlations between the pain subscale score and cartilage thickness in males (p=.6998, r=0.1316), females (p=.8733, r=0.0392), or combined (p=.7308, r=0.0655) in this group of senior athletes. Age and thickness was not significantly correlated (p=.1232, r= -0.2877), but did show a trend of decreasing cartilage thickness with age. The addition of more subjects should show age and thickness to be negatively correlated with each other.

Authors: Dean Peterson. Mentors: John Chaston. Insitution: Brigham Young University. The microbiota of Drosophila melanogaster fruit flies can be observed to study their effects on fly phenotypes. This paper will focus on the microbiota’s effects on fruit fly dietary preference for yeast (DPY), to determine if specific nutritional molecules produced by the microbiota control DPY. Previous studies have unsuccessfully sought to identify such small molecules by testing for roles of essential amino acids (Leitao-Goncalves 2017). A study completed in our lab suggested that bacterial thiamine biosynthesis/metabolism genes influence fly DPY because mutations shifted the preference from a diet with less yeast to a diet with more yeast (Call 2022). In our first efforts we found that raising flies on thiamine supplemented diet influenced their DPY. I want to determine if supplementing thiamine specifically causes this shift, and if the shift observed in the mutants is seen due to a lack of dietary thiamine. Here, I will perform the same tests with flies given diet supplemented with other B vitamins to test specificity. I will then confirm the role of bacterial thiamine on these phenotypes by rearing flies colonized with bacterial thiamine biosynthesis/metabolism mutants on thiamine supplemented diets. If these flies raised with increased dietary thiamine prefer a diet with less yeast, and the experiment with other B vitamins does not show a similar shift as thiamine, then the specificity of thiamine as the small molecule involved in yeast preference is confirmed.

Authors: Jakob Lenker, Trevor Kendrick. Mentors: Jeff Tessem. Insitution: Brigham Young University. Diabetes is characterized by a loss in beta cell function within the pancreas and the subsequent inability to produce sufficient insulin to regulate blood glucose. While current diabetes treatments focus on delivering pharmaceutical insulin to diabetic individuals, such treatments are temporary solutions and do not address the root of the issue. Instead, our research focuses on potential mechanisms for inducing greater insulin secretion within the pancreas of the individual. NK6 Homeobox 1 (Nkx6.1) is a major transcription factor in beta cells and its overexpression in beta cells is associated with higher insulin secretion. We have shown that Syntaxin 1A (Stx1A) interacts with Nkx6.1; Stx1A is of particular interest due to its role in mediating insulin granule fusion at the beta cell plasma membrane, directly impacting insulin secretion. We hypothesize that the interaction between Nkx6.1 and Stx1A may play an important yet understudied role in insulin secretion. Here, we present the results of Stx1A overexpression on glucose-stimulated insulin secretion within pancreatic beta cells, as well as the effect on the Nkx6.1 interaction. Understanding more about the role of Stx1A in beta cells could provide therapeutic targets to induce greater insulin secretion, which could aid in the effort toward finding a cure to diabetes.

Authors: Jared Wieland, Jacob Herring. Mentors: Jeffery Tessem. Insitution: Brigham Young University. A central attribute of Type 2 Diabetes (T2D) is beta cell damage. This damage commonly affects beta cell’s ability to secrete insulin and regulate blood glucose levels. Nkx6.1 is a beta cell transcription factor essential for proliferation, differentiation, and glucose-stimulated insulin secretion. Hyperglycemia is detrimental to beta cell function and function. We hypothesize that hyperglycemia may negatively affect the expression and activity of beta cell transcription factors, including Nkx6.1. To provide an understanding of the effects of hyperglycemic conditions on Nkx6.1 expression, INS-1 832/13 beta cells were cultured in hyperglycemic conditions, then primary rat islets were treated for the same durations of time. Here, we present transcriptional, translational, cellular localization, and degradation of states of Nkx6.1 over 48 hours of hyperglycemic culture conditions both in vitro and ex vivo models. Comprehension of the mechanisms involved in hyperglycemic downregulation of Nkx6.1 is imperative to the development of treatments for diabetes.

Authors: Eden Beazer, Aubree Bench, Ethan Jones, Jared Carter. Mentors: Jeffrey Tessem. Insitution: Brigham Young University. Incidence of diabetes worldwide has grown from 108 million people in 1980 to 422 million people in 2014, nearly tripling in just thirty-four years. Type 2 diabetes (T2D) is characterized by the loss of pancreatic beta cell mass and the failure of the remaining beta cells to provide adequate insulin. Contributing to the development of T2D is glucolipotoxicity (GLT), a condition characterized by the harmful elevation of glucose and fatty acid levels within beta cells. While there are existing treatments for symptoms of diabetes, much remains to be understood about its underlying causes and effective preventative measures. Flavonoids are naturally occurring phenolic compounds found in many fruits and vegetables that have various anti-inflammatory health benefits. Previous studies suggest that epicatechin, a flavonoid present in cocoa, can reduce the effects of diabetes by diminishing insulin desensitization and increasing glucose stimulated insulin secretion (GSIS). Interestingly, the bioavailability of epicatechin is poor, while its metabolites are more easily absorbed in the small intestine. Further studies demonstrated that under non-stressed conditions in beta-cells, hippuric acid, homovanillic acid, and 5-phenylvaleric acid, metabolites of epicatechin, stimulate insulin secretion at concentrations more realistically found in the body. However, the effects of these metabolites in glucolipotoxic conditions are unknown. Here, we present the effects of epicatechin and its metabolites hippuric acid, homovanillic acid, and 5-phenylvaleric acid on beta cell insulin secretion and mitochondrial respiration under GLT culture conditions. This study aimed to contribute to the limited body of knowledge on the bioactivity of flavonoid metabolites on beta cell function under damaging conditions observed with T2D, offering crucial insights for developing effective strategies to harness the health benefits associated with flavonoids.

Authors: Owen Damitz. Mentors: Jeffrey Tessem. Insitution: Brigham Young University. Type one and two diabetes affect the everyday lives of millions of people worldwide. These diseases are characterized by decreased functional beta cell mass. Functional beta cell mass is defined by the beta cell’s ability to proliferate, secrete insulin, and resist apoptosis. Wehave shown that the orphan nuclear receptor Nr4a3 is sufficient to induce beta cell proliferation. We have sought to define compounds that can interact with and modulate Nr4a3 activity. Using AutoDock Vina we have defined a number of compounds that interact with Nr4a3. Here wepresent data demonstrating the ability of these compounds to modulate Nr4a3 mediated proliferation, survival, and insulin secretion in the beta cell. Furthermore, we demonstrate the effect of these compounds to modulate Nr4a3 transcriptional control. These findings are the basis for developing interventions to increase functional beta cell mass as a treatment for type 1 and type 2 diabetes.

Authors: Isaac Stubbs, Skyler Russell, Melissa Blotter, Maxwell Holmes. Mentors: Ryley Parrish. Insitution: Brigham Young University. Status Epilepticus (SE) is a severe medical condition marked by continuous seizures lasting over 5 minutes. When SE becomes resistant to anticonvulsant drugs, the condition is known as Refractory Status Epilepticus (RSE), which lacks effective treatments and has a mortality rate of 38%. RSE lacks effective treatments partially due to our limited understanding of the mechanisms that lead to patient drug resistance to commonly used anticonvulsants. This study aims to address this knowledge gap in two pivotal ways.First, we have employed a high-density multi-electrode array (HD-MEA) with acute mouse brain slices to better understand RSE propagation patterns and various seizure states with unparalleled spatial precision. The HD-MEA allows us to record from the entire brain slice with 4096 electrodes sampling electrophysiological activity at every 60 micrometers for many hours at a time. Our data demonstrates that different seizure states, such as phasic seizure-like events, short duration epileptic discharges, or RSE itself, occur within both the same brain region and in different brain regions simultaneously. With our novel data visualization software, we can visualize the unique propagation of this phenomenon. These findings indicate that RSE might be a progressive event, challenging conventional understanding of RSE. Second, we are currently exploring a potential pharmacoresistance mechanism that may contribute to the patient entering RSE, which suggests that changes in the chloride reversal potential may lead to a phenomenon known as depolarizing GABA. Depolarizing GABA may negate the effectiveness of the currently used antiepileptic drugs that rely on standard physiological chloride conductance to effectively limit seizure activity. We are studying this drug resistant mechanism with the HD-MEA by introducing anticonvulsant drugs to acute mouse brain slices during the evolution of RSE to locate a critical point at which the slice becomes resistant to these compounds.We hope this study will illuminate the complexities of RSE by revealing its progressive nature and drug resistant properties.

Authors: Mikayla Kimball, Noah Bezzant, Ashley Allan, Josh Sponbeck. Mentors: Brent Feland. Insitution: Brigham Young University. Ultrasonic analysis of patellar tendon thickness in active older athletesBACKGROUND: Recent research has suggested that patellar tendon loading through exercise and resistance training can help maintain and increase patellar tendon thickness in older adults. Limited research exists that identifies the average thickness of patellar tendons in younger athletes, however, it is unknown if this thickness remains or is maintained in older adult athletes who have maintained a very active lifestyle.PURPOSE: This study aimed to determine how gender correlates to patellar tendon thickness in the proximal and middle patellar tendon of active older athletes participating in sporting events at the Huntsman World Senior Games.METHODS: Data was collected from 59 volunteers (participants in the Huntsman WorldSenior Games) in St. George, Utah, 2022. All subjects (34 females: mean age = 61.09 ± 7.00 yrs, Ht = 162.41 ± 25.73 cm, Wt= 66.29 ±11.38 kg; 25 males: mean age = 68.68 ± 7.03 yrs, Ht = 178.21 ± 8.63 cm, Wt= 84.42±10.90 kg) signed an approved consent form and then sat on a treatment table with their legs relaxed and dangling off. The probe was placed vertically below the kneecap and an ultrasonic image was taken. Each image showed a small section of the patellar for reference. Each ultrasonic measurement showed the middle and proximal thickness of the patellar tendon. ANALYSIS: All data were analyzed using JMP ver16.2 with a stepwise multiple regression analysis to determine the effect of age, height, wt and gender on patellar tendon thickness. A sex*location mixed model was used to determine differences in middle and proximal thickness between gender. Data were normally distributed, not requiring transformation.RESULTS & CONCLUSIONS: Proximal tendon measurements were thicker than middle tendon measurements on both sides (p=0.0001). There was no significant difference either proximal tendon thickness (p=0.9323) or middle tendon thickness (p= 0.3993) between left and right sides. No significant difference between male and female tendon thickness at either location (p=0.7700). Proximal tendon thickness was greater and this has been found to be greater in younger athletes with a history of patellar tendinopathy. Aging athletes may also have a history of knee pain episodes that could have contributed to this finding. The lack of gender differences in thickness measures was surprising, but may be a result of the level of activity of senior athletes. In the future studies should look to compare active vs non-active aging athletes, more specific age range differences, and how knee replacements and other injuries affect patellar tendon thickness.

Authors: Caroline Cowley, Megan Jewell, Brenda Mendoza, Aubrey Cluff, Ryan Summerhays, Jason Hansen. Mentors: Jason Hansen. Insitution: Brigham Young University. Approximately 8 million newborns manifest a birth defect every year worldwide. One of the most common birth defects involve disruptions in musculoskeletal development. Oxidative stress has been found to propagate teratogenesis. Thioredoxin-1 (Trx1), an oxidoreductase, is an important antioxidant regulator required for proper embryonic development. Trx1 knockouts have been found to be embryolethal prior to implantation. A preliminary study to assess osteogenesis was conducted using mouse embryonic fibroblasts (MEFs) originating from transgenic conditional Trx1 knockout embryos. Upon confluence, MEFs were stimulated to undergo osteogenesis via commercially available media. A subset of cells were treated with doxycycline (DOX) prior to and throughout the culture period. MEFs were maintained over a 21 day period in a reduced oxygen environment. MEFs were then fixed in formalin and stained with Alizarin red to determine the degree of osteogenesis. MEFs treated with DOX were unable to undergo proper osteogenesis. While this would suggest that osteogenesis is regulated through proper functions of Trx1, it is unknown how Trx1 regulates osteogenesis in utero. Because Trx1 deletion is lethal prior to implantation it has been historically difficult to study the role of Trx1 during organogenesis. With the development of the DOX-inducible Trx1 conditional knockout mouse, we can now target specific developmental periods and evaluate post-implantation processes like osteogenesis. Using proper transgenic mice and breeding schemes, DOX-inducible Trx1 conditional knockout embryos were treated in utero with DOX through the dam’s drinking water, starting on gestational day (GD) 8.5. The embryos were collected on GD 16.5, fixed in 95% ethanol, and then skinned. To visualize bone and cartilage, the embryos were placed in ethanol and subsequently stained with Alizarin red and Alcian blue. The staining showed that embryos lacking Trx1 were significantly stunted in their skeletal maturation. With this data, we are the first to show that during organogenesis, the musculoskeletal system is affected by deletions of Trx1 at specific periods of development. Under oxidizing conditions which exceed the capacity of the oxidoreductase pathway of Trx1, Trx1 exists primarily in its oxidized form and can no longer reduce proteins that have been turned off by oxidation. Our Trx1 deletions model a highly oxidized state in which Trx1 is dysfunctional. Because regulatory redox control of protein activity is required for proper embryonic development, exposure to oxidizing environmental conditions specifically affecting Trx1 redox state may target the disruption of the musculoskeletal system.

Authors: Michael Mann, David Bates, Steven Johnson. Mentors: Steven Johnson. Insitution: Brigham Young University. Nucleosome positioning, or the placement of nucleosomes along DNA, is known to be a significant factor in determining gene expression in eukaryotic cells. Further, post-translational modifications (or PTMs) help modulate gene expression by acting as an intermediate to other factors. The extent to which PTMs directly affect nucleosome positioning is poorly understood, however. Since gene expression is known to be affected by several coincident PTMs on each histone, the goal of this research is to evaluate the suitability of a Lys-->Gln mutation as a substitute for histone lysine acetylation. If successful, this research can be used to support future combinatorial studies on PTMs and nucleosome positioning without the difficulty of combining several forms of PTMs simultaneously.

Authors: Zach Fiore. Mentors: Jared Nielsen. Insitution: Brigham Young University. Gait apraxia is a type of apraxia that affects lower limb use in walking. It is characterized by difficulty initiating gait, freezing of gait, and other gait disturbances that cannot be attributed to complications affecting sensory, motor, or cerebellar function, psychiatric disease, nor ataxia. Symptoms often present following brain trauma. Previous research has indicated that gait apraxia may be linked to lesions in the frontal lobes, basal ganglia and supplementary motor area. However, the specific cerebral location has been debated with minimal research done on the symptom’s implicated neural circuits. The purpose of this study is to determine the networks in the brain that are involved in the pathophysiology of gait apraxia. To determine this, we used the lesion network mapping method. A systematic literature review was performed, with specific inclusion criteria, to find case studies of patients presenting with gait apraxia stemming from acquired brain injury (n=15). Lesion network mapping analysis (Fox et al., 2018) was performed on 15 cases with a large cohort of healthy control resting-state scans (n=1000). The analysis showed that lesions exhibited functional connectivity to the bilateral medial dorsal and pulvinar nuclei of the thalami (n=15), which supports previous associations of basal ganglia damage contributing to gait apraxia. A novel region, the cingulate cortex (n=15), was also found to be functionally connected to the lesion networks. This region is a part of the cingulo-opercular network, responsible for many functions, including action. This network has recently been found to display strong functional connectivity with the somato-cognitive action network, responsible for coordinating movements with cognitive processes. Further research is necessary to determine the mechanism of how these networks interact in contributing to gait apraxia.

Authors: Grant Rousseau, Kenneth Harrington, Jamie Jensen. Mentors: Jamie Jensen. Insitution: Brigham Young University. We know that evolution acceptance is low in the United States, and a perceived conflict between evolution and religion is a big predictor of whether someone accepts or rejects evolution. Helping undergraduates accept evolution involves multiple teaching strategies, including teaching evolution with a reconciliatory approach, increasing their knowledge of evolution, and introducing role models (scientists who maintain religious beliefs) to the students. However, because some students have higher scientific reasoning abilities than others, they may find certain evolution teaching strategies more beneficial than others. In our study, we assessed scientific reasoning ability, change in evolution acceptance, and teaching strategy rankings with surveys before and after evolution instruction. We predicted that students who possessed more scientific reasoning skills would rank evolution knowledge above role models when asked which strategy was most influential in helping them accept evolution. However, we saw that scientific reasoning did not appear to moderate the effect of evolution knowledge. Role models were more important in increasing evolution acceptance, regardless of scientific reasoning skills. This reinforces the importance of having a role model present when teaching evolution to religious audiences.

Authors: Jacob Adams, Larry Catalasan. Mentors: Tianyi He. Insitution: Utah State University. Soft robotics is a field of robotics involving the controlled movement and manipulation of soft materials to fulfill tasks that standard robots cannot. In this project, we aim to create a soft robotic arm capable of movement by using a machine-learning algorithm to generate its subsequent moves. To fulfill this goal, the robotic arm is contained in a metal frame that has cameras monitoring its position. The camera feed is then processed through a machine-learning algorithm into instructions that can be used to pull various strings attached to the arm which will allow the arm to move. Currently, our team has finished building the frame/arm as well as software that can use cameras to map the position of the arm. The next steps in this project are to research and implement a machine-learning algorithm and write a program that can appropriately adjust stepper motors to pull the strings.

Authors: Jacob Winters. Mentors: Nathan Crane. Insitution: Brigham Young University. Carbon fiber-reinforced plastics are useful because of their high stiffness and high strength. Compliant mechanisms, or mechanisms that can bend and flex, can lower production costs, assembly time, and weight. When carbon fiber-reinforced plastics and compliant mechanisms are combined, the result is a part that is strong, lightweight, and adaptable to many geometric configurations or shapes. However, it is challenging to manufacture compliant mechanisms from carbon fiber because the matrix is usually infiltrated uniformly. The purpose of this investigation was to determine how to produce compliant carbon fiber plastic components using selective, patterned powder infiltration to achieve the desired component properties. The investigation involved determining the correct method of curing the resin, designing specific carbon fiber parts to achieve various geometries, and producing demonstrations that prove the feasibility of the manufacturing process. The result is a proven process for creating compliant mechanisms out of carbon fiber composites.

Authors: Chris Paul, Alex Edwards. Mentors: Christopher Dillon. Insitution: Brigham Young University. Focused ultrasound thalamotomy is a novel treatment that uses sound waves to ablate problematic neurons in the thalamus, treating conditions such as essential tremor and tremor-dominant Parkinson’s disease. However, this treatment can result in high temperatures at the skull-brain interface which can inadvertently damage adjacent brain tissue. Currently, this risk is reduced by keeping stationary chilled water around the skull during treatments. However, many patients are still unable to receive treatment due to unfavorable subject-specific characteristics (i.e. large amounts of cancellous skull tissue). This study hypothesizes that convective water flow will remove heat from the skull more quickly than stationary chilled water, allowing more patients to receive treatment. To quantify convection effects, we designed an experiment to imitate a patient undergoing focused ultrasound thalamotomy. The experimental setup consists of a hemispherical 3D-printed mock skull containing a brain surrogate, placed into a mock ultrasound transducer. Heating is achieved by pumping hot water at a constant temperature across the inside of the brain surrogate. Temperature will be recorded throughout the setup as we run cold water around the skull in varying amounts. Temperature data from the convection setup will be compared to conduction data to determine which is more effective. The apparatus has been constructed, and experimental data will be recorded shortly. Determining the extent to which convection heat transfer can be increased is an important step in developing more effective treatment plans and improving the lives of additional patients.

Authors: James Walker. Mentors: Pania Newell. Insitution: University of Utah. During the COVID-19 pandemic, the discussion of using fibrous porous materials in the context of face masks has gained significant relevance. These materials consist of networks of fibers that are intertwined through weaving, knitting, or bonding, creating a structure with interconnected pores that facilitate the transport of gasses and liquids. When a face mask is used, it is under tensile stresses that can greatly affect its longevity and behavior, and simulating the behavior of the fibers within the mask under this loading is essential in enhancing its robustness. Numerical analysis involving fibrous porous materials is challenging due to their inherent randomness and anisotropy, however. The models we use need to accurately represent the entire mask, which we achieve using a small cubic cell known as a representative volume element (RVE). In this study, we systematically investigate the role of fiber diameter, fiber cross sectional shape, and RVE size on the mechanical properties of various RVEs using a computational framework built on the finite element method. The RVEs themselves are idealistic, but useful networks of polypropylene fibers that are orthogonally intersected within cubic boundaries. Our results show that once an appropriate RVE size was determined with constant porosity between systems, the stiffness of the samples increases as the cross-sectional shape progresses from a triangle to a square, to a pentagon, etc., largely due to the increases in intersection volume between fibers. We also found that increasing the diameter serves to increase material stiffness. This project not only offers insights into designing more robust face masks but also provides novel tools that can be used for designing other fibrous porous materials.

Authors: Alisa Dabb, David Britt, Elizabeth Vargis. Mentors: David Britt. Insitution: Utah State University. Cytomegalovirus (CMV) is the leading infectious cause of birth defects in the United States. CMV is typically treated with ganciclovir, an antiviral medicine that inhibits the virus. However, ganciclovir also inhibits the growth of neutrophils, a type of immune cell, which leaves the patient vulnerable to other viruses and diseases. To combat the toxic effects of ganciclovir, a subtherapeutic dose of ganciclovir can be used with the combinatorial treatment of quercetin and poloxamer 188 (P188) while maintaining the same level of antiviral activity. Quercetin is a hydrophobic natural flavonoid with antiviral properties that is found in many fruits and vegetables. P188 acts as the delivery vehicle for quercetin and is an FDA-approved polymer that targets the mitochondria in a cell. This study examines two delivery vehicles—P188 and Dimethyl Sulfoxide (DMSO) to optimize the combinatorial treatment of quercetin and ganciclovir.DMSO is a solvent for both polar and nonpolar compounds. DMSO is beneficial for cell growth at low concentrations. Additionally, DMSO successfully delivers hydrophobic quercetin to infected cells, although it does not target quercetin delivery like P188. Targeting the mitochondria, like P188, could be valuable because one mechanism of CMV infection occurs when the virus attacks the mitochondria in an infected cell. This study aims to understand if mitochondrial targeted delivery of quercetin better protects cells against CMV infection compared to non-targeted quercetin delivery.

Authors: Taylor Forbes, Rachel Harris, Benjamin Jackson, Nicole Peterson, Sydney Tanner, Chloe Nelson. Mentors: Christopher Dillon. Insitution: Brigham Young University. Focused ultrasound (FUS) therapy is a non-invasive therapy for breast cancer. Treatment plans for this therapy are created on a patient-to-patient basis, which requires a significant amount of time from medical professionals. An important and time-consuming part of developing treatment plans is the precise segmentation of the breast magnetic resonance imaging (MRI) scan and subsequent treatment simulation to ensure that the treatment is effective and safe. Segmentation involves dividing the MRI dataset into segments by assigning distinct tissue types that are then assigned properties and used in simulations to help clinicians plan FUS treatments. However, imprecise interfaces between different tissue types in MRI images lead to discrepancies between individual segmentations, thereby introducing variability into the segmentation process. This variability—which is found even among expertly performed segmentations—can lead to differences in treatment plans. Here, analysis was performed in order to quantify interobserver variability in breast MRI segmentation. This study was conducted by providing basic segmentation training to undergraduate research assistants with no prior segmentation experience. Each participant segmented the same breast MRI dataset into different tissue types using the software Seg3D. The different segmentations were then compared using contour similarity metrics (such as the Dice Similarity Coefficient and Jaccard Index) as well as tissue volume differences. The interobserver variability was quantified using the results from these analyses, which will be helpful in determining the level of precision required for the use of a given segmentation in FUS treatment planning.

Authors: Alberto Miranda, Samannoy Ghosh, Yong Lin Kong. Mentors: Yong Lin Kong. Insitution: University of Utah. Microscale robots can impart a broad range of functionalities in the biomedical domain that can be leveraged to address unmet clinical needs, including noninvasive surgery and targeted therapies. Conventional robot navigation methods typically involve specific gaits suited for certain environmental conditions. However, implementing the same conventional methods inside a human body is highly challenging. As the human body is a complex and dynamic environment, a microrobot must adapt to these complex and challenging environments to perform targeted studies. Previous research demonstrated an integration of an untethered, 3D-printed three-linked-sphere crawler with a model-free reinforcement algorithm. The work done with the theoretical Najafi–Golestanian three-linked-sphere mechanism was its first experimental integration with a reinforcement learning algorithm as a relatively simple and highly scalable self-learning robot that can navigate in unconfined and confined spaces. The progress presented in the current research is a direct continuation of the previous work on the 3-linked-sphere crawler. While the previous work focused on developing a proof of concept for adaptive gait learning for the crawler, the current work focuses more on the challenges of implementing the robot in a low Reynolds number fluid medium. Our current research hypothesizes that a self-learning autonomous system could demonstrate successful gait adaptation in a low Reynold’s flow environment. The design of our robot has been significantly improved to make it sustainable for extended use under viscous fluids. The research presented outlines the work that has been done to transition the robot from a crawler into a swimmer, the challenges that have been faced, and how they have been addressed. Successful implementation of this 3-sphere-swimmer will be a step forward in integrating machine learning tools into microswimmers for autonomous gait adaptation inside the human body.

Authors: Isaac Sudweeks, Bradley Adams. Mentors: Bradley Adams. Insitution: Brigham Young University. Isopleths are graphical representation of atmospheric data used to analyze the response of an atmospheric chemical such as Ozone to the change in other chemicals in the atmosphere such as oxides of nitrogen and volatile organic compounds. Isopleths then can be used by researchers and other to decide the best way to reduce pollutants in the atmosphere. I set out to use data processing and statistical models to better understand and interpret large experimental chemistry data through the creation of 3 dimensional isopleths. I started by splitting up the data into 2 figures that were functions of 1 variable to make simpler 2d plots. After exploring several techniques to create models such as smoothing splines, b-splines and least squares to fit a quadratic, and through using tools such as generalized cross validation, analysis of covariance, and general visual inspection, I concluded that the best model to create an isopleth is, in the case of the data I was given, a least squares fit-b spline (LSQ spline) using a small number of knots spread evenly over the range of data.

Authors: Josh D Gubler, Connor D Olsen, Fredi R Mino, Mingchuan Cheng, Jacob A George. Mentors: Connor Olsen. Insitution: University of Utah. The long-term goal of this research is to investigate how lower sampling rates of electromyographic (EMG) signals affect the performance of classification and regression algorithms. EMG signals measure the electrical activity of muscle contractions. Myoelectric interfaces can classify or regress features generated from the EMG signal to control devices like prostheses, exoskeletons, robotic systems, or human-computer interfaces. Most of the power of the EMG signal is contained between 50 and 500 Hz, and most recording devices sample EMG at 1 kHz with a 5-15 Hz high-pass filter and a 375-500 Hz low-pass filter. As myoelectric devices become wireless and integrated with wearable technology, reducing the sampling rate can substantially reduce battery consumption and processing power. We sampled EMG data at 30 kHz from the forearms of three participants while they performed six gestures. We then downsampled to rates ranging between 50-1000 Hz and calculated various EMG features from the downsampled data. We found significant effects for both EMG feature and sampling rate on regression performance of a modified Kalman Filter (p < 0.05, two-way ANOVA). The mean-absolute-value and waveform-length EMG features performed significantly better at low frequencies (<250 Hz) in contrast to zero-crossing, slope-sign-change, and mean-frequency EMG features (p < .05, multiple pairwise comparisons). Sampling rate also had a significant impact on the classification accuracy of a k-nearest neighbors algorithm (p < 0.05, two-way ANOVA). However, sampling rate had no impact on classification accuracy for a continuous Convolutional Neural Network (CNN) (p > 0.05, two-way ANOVA). Future work will validate the effectiveness of this CNN as a control modality when using downsampled EMG from wearable sensors. If proficient control can be achieved from down sampled EMG, this could substantially improve battery life and make EMG a more practical biosensor for wearable devices.

Authors: Joey McConkie, Jackson Wilcox, Eli Smith, David Phair. Mentors: Christopher Dillon, Matthew S Allen. Insitution: Brigham Young University. Elevated strain in the Achilles tendon places ballet dancers at high risk for tendinopathy, which in severe cases can terminate a dancer’s career. Typical methods of measuring in vivo tendon stresses—which could be used to predict and prevent tendinopathy—are invasive, making them impractical for professional dancers. We use a portable, non-invasive, externally mounted system of one transducer and two accelerometers to generate and record vibrational motion within the tendon. The speed of sound waves propagating through the tendon is used to calculate the stresses present. The portability of the system allows it to be worn by a dancer during an actual dance routine instead of requiring measurement to be taken at a fixed location where mobility is limited. This system results in data that can noninvasively quantify tendon stresses regularly experienced by ballet dancers. The improved understanding of in situ stresses measured by this device will have great potential for improving the prediction and prevention of debilitating tendinopathy.

Authors: Elizabeth M J Allen, Steven P Allen, Henrik C A Odeen. Mentors: Steven P Allen. Insitution: Brigham Young University. BackgroundThe focus of this project was creating phantoms with customizable attenuation and stiffness for visualizing histotripsy lesions created with magnetic resonance guided focused ultrasound surgery (MRgFUS). Having phantoms with varying mechanical and acoustic properties is important because they affect cavitation and allow for testing of different histotripsy mechanisms. Creating a tunable phantom with red blood cells (RBCs) spread throughout it is valuable because it allows us to visualize High Intensity Focused Ultrasound (HIFU) lesions from MRgFUS in three dimensions throughout the gel.Materials and MethodsWe produced gels with tunable acoustic and mechanical properties by mixing 5 different ratios of evaporated milk and deionized water with 5 different ratios of agarose powder to create 25 different gels.Gel attenuation was measured using a through transmission setup and Young’s Modulus was obtained using a tensile tester in compression. The MR properties, including T1, T2, and T2* of each gel were also measured prior to creating histotripsy lesions.ResultsIn general, the agarose gels had an increase in attenuation as the amount of evaporated milk increased, and an increase in mechanical stiffness as the amount of agarose powder increased. They also provided excellent lesioning contrast for visualizing MRgFUS lesions.ConclusionsWe successfully created a series of tunable gels for visualizing MRgFUS lesions. These gels are also useful for characterizing ultrasound transducers and can be used to test emerging MRgFUS technology as it becomes more widely used and is further developed.

Authors: Davis Wing. Mentors: Matt Allen. Insitution: Brigham Young University. When thin structures vibrate under large forces, can exhibit geometric nonlinearity, which makes it very hard to compute their motion and the stresses they undergo. This work builds on prior efforts, which used a small number of computations derived from detailed models, together with machine learning techniques, to train a reduced order model (ROM). This ROM could then be simulated efficiently to estimate the dynamic, nonlinear response of the structure in a fraction of the time it takes to compute the full-order model.This reduced order modeling technique is called Gaussian Process ROM or GPR ROM, and was developed by Park et al. [MSSP, vol. 184, p. 109720, 2023]. The GPR-ROM approach works by applying a number of static loads to the detailed model of the thin structure, and then by integrating those loads over time, it produces an understanding of the dynamics. In addition to its speed, this approach also provides confidence bounds on its findings, meaning that researchers can gauge a number of plausible values for the nonlinear responses of the system being measured.This research further develops this approach to computing the dynamics of structures by applying the GRP-ROM to a more complicated structure than previously studied, namely, a gong. The gong as a test structure is significant, as the signature sound of a gong is produced through geometric nonlinearities. In order to capture the behavior of the gong, and thereby its sound, several modes need to be studied simultaneously, and thus more degrees of freedom are required to capture its behavior in a ROM. This work evaluates the GPR-ROM process for the gong by computing various ROMs for different load states, thereby capturing the geometric variability of the gong’s responses. Then, the non-linear normal modes (NNMs) of the system are calculated within 95% confidence, which allows for a reasonable understanding of the dynamics of the system. These will be compared to the NNMs computed, at great expense, from the full-order model to validate the method.

Authors: Cassandra L Burdick, Caleb J Thomson, Troy N Tully, Jacob A George. Mentors: Caleb Thomson. Insitution: University of Utah. The long-term goal of this research is to decode fine motor intent from electromyography (EMG) of hemiparetic muscles. Stroke is the leading cause of disability in the United States, with 800,000 individuals experiencing a stroke each year. Eighty percent of stroke survivors experience hemiparesis. Severe hemiparesis immobilizes the arm, making it difficult to assess EMG control and motor function on traditional tasks. Here, we introduce a variant of the clinical Box and Blocks Test (BBT) of hand dexterity in virtual reality (VR) to assess fine motor function of EMG control in hemiparetic stroke patients with immobile arms. Our VR variant of the BBT allows individuals to control a VR hand to transfer VR blocks back and forth between two locations separated by a barrier. The VR hand can grasp, rotate, and translate based on EMG commands or other control signals received at 30 Hz via UDP communication. The forces exerted on the blocks and the location of the blocks and hand are logged to assess grasping precision, force regulation, and transfer rate. Multiple block sizes can also be used to assess dexterity with various grip apertures. The ability to assess EMG control in patients with hemiparesis can support the development of myoelectric orthoses. Practicing dexterous myoelectric control in VR may also help alleviate hemiparesis and expedite qualification for myoelectric orthoses.

Authors: Rui Jin, Lindsay C Rupp, Anna Busatto, Rob S MacLeod. Mentors: Rob S. MacLeod. Insitution: University of Utah. Introduction: The electrocardiogram is the most common tool to diagnose and assess cardiac conditions, such as rhythm abnormalities, myocardial ischemia, and heart failure. However, clinical diagnosis and management of heart disease are challenging due to the remote nature of body-surface electrocardiogram measurements, with a median accuracy of 67% among physicians. One approach to improve the accuracy of electrocardiography is to conduct mapping studies in which 10-100 catheter-based electrodes are inserted within the heart. The recorded signals provide more proximity and thus accuracy, but they also require specialized software to analyze, quantify, and visualize. We developed the Signal Processor for Electrogram and Electroanatomic Data (SPEED), a new, open-source, unified pipeline to facilitate effective signal processing and visualization of such cardiac-mapping signals.Materials and Methods: Our pipeline is based on two existing toolboxes, the Preprocessing Framework for Electrograms Intermittently Fiducialized from Experimental Recordings (PFEIFER) and OpenEP. PFEIFER is a toolset for sophisticated signal-processing of cardiac electrograms that allows the user to select semi-automatically fiducial markers, which are time points and intervals of interest within a heartbeat. OpenEP primarily accepts as input complete electroanatomic data, including both processed cardiac electrograms and spatial geometry; OpenEP also provides built-in functions for analyzing and visualizing cardiac electrograms, such as displaying potentials on the cardiac geometry. Since both software packages provide complementary workflows for managing electrograms, our goal was to integrate the two software packages and present it to the user as a new Graphic User Interface utilizing both applications simultaneously.Results: It was natural to develop SPEED in MATLAB as this is also the language used for both PFEIFER and OpenEP. The primary interface to SPEED incorporates a data-centric design such that the user can provide the electrogram and geometry files to be processed, and the algorithm automatically determines the applicable functions based on the input type. Since both PFEIFER and OpenEP can parse data into more interpretable open-source formats, the user can also export the processed data for further analysis in addition to visualizing and quantifying the data features. Through integrating both software packages, SPEED can support the following main functionalities: (1) in-depth filtering and processing of electrogram signals, (2) visualizing anatomic geometry and electrode locations, and (3) mapping three-dimensional potential and activation of cardiac electrophysiology.Discussion: SPEED offers the user a more thorough and unified workflow in the analysis of cardiac-mapping signals than either of its components. The user can utilize the functionalities of both PFEIFER and OpenEP simultaneously, allowing for a versatile and powerful processing pipeline. For instance, the user can extract key features from the recorded electrograms and visualize the location of the corresponding electrodes, a feature that was previously not possible. In addition, the open-source nature of the software packages allows the user to modify or expand the functions to better suit their individual needs. The software design of SPEED is still in the early stages; thus, as with most software, further development and user testing will follow to make the algorithms compatible with more data types and implement additional features. Conclusion: SPEED processes and displays the complex information in a clear and accessible way, allowing the user to perform subsequent interpretations and analyses more easily. SPEED can be used by research cardiologists to facilitate a more efficient workflow, as well as to improve the efficiency and accuracy of clinical diagnosis of heart diseases.

Authors: Nathan Jones, Carter Noh, Douglas Cook. Mentors: Douglas Cook. Insitution: Brigham Young University. Neural networks are used to identify specific objects in a picture and are often used in robotics to allow robots to identify objects through a camera. They can be used in agriculture to allow machines to identify plants to harvest and cultivate. The preparation of the neural network model involves taking thousands of pictures in a variety of situations. Networks with a large quantity of pictures in a large variety of angles, lighting, environments, etc. have a better chance of identifying plants in any situation. Our lab needed a device for rapid data collection that could be placed in a field to automate the process of taking pictures of crops. We used a gantry system that was controlled through three stepper motors, one for the x-axis and the other two for the y-axis. Two cameras were placed on the head of the gantry system and were driven through a 40” x 40” area. Each camera was connected by a double ball head arm which can point a camera in almost any direction. The camera arms were screwed into a plate with a 5 x 5 grid of bolt holes; these holes and the double ball head arms gave us control over the angle and distance of each photo to increase the variety of our data set. In October 2023, our rapid data collection device was tested in a field and was able to capture over 50,000 photographs of saffron flowers at a variety of angles, lighting, and distances. The results of our device were promising and we have some improvements that we plan on making. We anticipate that with these improvements, next saffron harvest we will be able to increase the number and variety of pictures to improve our dataset.

Authors: Addison McClure, Marshall Christensen, Braxton Fjeldsted, Luke Howell, Cole Dunn, Kirsten Steele, Andrew Tagg, Douglas Cook. Mentors: Douglas Cook. Insitution: Brigham Young University. Stalk lodging is the event of failure just below the ear or node of a maize stalk. Brazier buckling is the most common mode of failure and consistently occurs near the node. Maize stalk lodging has been studied for several years; however, relatively little is known about the process and progression of stalk failure. The purpose of this study was to characterize tissue-level failure patterns of maize stalks. A better understanding of failure patterns could provide further insight into developing maize stalks that are less susceptible to failure. The failure region was studied using several techniques including various imaging techniques(Scanning Electron Microscopy, x-ray computed tomography, and digital image correlation), experimentation (bend tests with recordings of acoustic emissions), and quantification of cross-sectional ovalization. We found that ovalization occurs prior to stalk failure and is strongly correlated with the onset of buckling. Despite this correlation, neither ovalization nor acoustic emissions were predictive of failure. Tissue-level analysis revealed that buckling occurs at many different scales, including at the organ, tissue, cellular, and cell wall level. Based on these observations, we propose a new conceptual model for understanding stalk failure. This model states that the probability of tissue failure and the probability of buckling failure increase in a highly correlated fashion. When one mode of failure occurs, it immediately initiates the other failure mode as well. This model suggests that efforts to improve stalk strength need to address both tissue strength and buckling resistance.

Authors: Madi Hancock. Mentors: Nathan Crane. Insitution: Brigham Young University. Binder Jetting (BJ), a type of additive manufacturing (3D printing), creates parts through a multi-layered process. Particles are bound together using tiny droplets of liquid binder. Binder jetting has advantages over other additive manufacturing methods including relatively low costs, fast build rates, and a variety of possible printable materials. However, porosity defects commonly seen in BJ printed parts limit the technology's usefulness in demanding industries. There are several proposed causes of these porosity defects, including poor powder compaction in printed areas, residual carbon from the binder, and powder rearrangement due to binder droplet impact. The relative importance of these factors is poorly understood. This study will compare observations of porosity in printed and unprinted regions of Stainless Steel 316 BJ samples to better understand the possible modes of porosity defects.

Authors: Caleb Fears. Mentors: Troy Munro. Insitution: Brigham Young University. To further the development of medicine and understand the structural stability of both pathogenic and therapeutic proteins, knowledge of the thermodynamics of biomolecules is necessary. An example is amyloid fibrils seen in Alzheimer’s patients, where their unfolding and polymerization is dictated by a poorly understood interplay between enthalpy, entropy, and other thermodynamic properties. Devices such as isothermal titration calorimeters (ITC) and differential scanning calorimeters (DSC) are commonly used to measure these values, but the devices often are insufficiently sensitive to detect small heat changes or require large amounts of sample. Thus, the development of microfluidic thermodynamic measurement devices using small, highly sensitive Peltier elements for biosensing is needed. Through the use of a 3D printer, we are able to design and print chips that have the vacancies needed to miniaturize Peltier elements. This is possible because you can print and fill channels (thermoelectric legs) with dimensions as small as 70 microns by 70 microns, which will at least quadruple the number of thermoelectric legs compared to commercial PE devices with the same footprint. We have managed to insert and cure electrically conductive materials needed for Peltier Elements into channels of 100 microns by 100 microns. And through the use of micro-casting techniques, we have also produced chips that contain the electrical connections, with the same channel size (100 microns by 100 microns), needed to connect each thermoelectric leg. The further development of these PE devices will help us develop the calorimeters necessary to accurately and efficiently study protein thermodynamics.