Architecture

Authors: John Walton, Mason Astill, Jarrett Nelson. Mentors: Dustin Shipp. Insitution: Utah Valley University. Our research group is working to create a meta analysis of the variables that affect the efficiency of eddy current braking systems. We are making a track to accelerate marbles made from different non-ferromagnetic materials down an incline, through a photogate to get its initial velocity, then through a solenoid. We are testing several metals for the marbles and solenoids driven by alternating current with different frequencies. The marble after passing through the solenoid will have its new velocity recorded, allowing us to determine the deceleration experienced by the marble.

Authors: Megan Frisby, Alma Laney, Geoff Zahn. Mentors: Alma Laney. Insitution: Utah Valley University. The oil-bearing species, Hyssopus officinalis (hyssop) and Lavandula angustifolia (lavender) are important ecological, ornamental, and agriculturally cultivated plants in the state of Utah, playing a central role in the state’s major essential oils industry, and thus economic climate. However, little is known about the virological agents infecting Utah plant species. A project was initiated to identify the viruses infecting symptomatic H. officinalis and L. angustifolia specimens obtained from Utah. Tissues collected from plants of both species exhibited viral associated symptoms of stunting and chlorosis, while collected hyssop specimens displayed additional leaf curling and mottling. Initial MinION sequencing was conducted on cDNA libraries synthesized from lavender and hyssop samples which were multiplexed with that of other species using the cDNA PCR barcoding kit and chip v 9.4.1. The primary run yielded contigs for a novel single-stranded negative-sense RNA nucleorhabdovirus in both specimens, a sequence closest to tomato yellow leaf curl China virus (TYLCCNV) in hyssop, and an ilarvirus related to tobacco streak virus in lavender. However, additional, exclusive MinION runs consistently failed to yield quality results in attempts to obtain the complete the genomes of these viruses. DNA and RNA extractions were once again performed on hyssop and lavender samples, and RNA from 2020 and 2023 were sent out of lab for RNAseq using the Illumina Novaseq. Once complete genomes are achieved further research will be conducted to characterize these novel viral agents, determine the identity of their associated vectors and calculate host ranges. The results of this project will help to advance the limited virological knowledge of Utah plants as well as that of the nation and world, and aid in developing future scientifically-sound pathogen management strategies.

Authors: Brian Seamons. Mentors: . Insitution: Utah Valley University. We compare the atmospheric compositions of WASP-39b and WASP-178b, as well as the different observing modes and analysis techniques for both observations. While both objects are gas giants, WASP-178b’s short-period orbit around its A-type host star leads to an equilibrium temperature more than double that of WASP-39b. WASP-39b was the one of the first exoplanets to be studied by JWST, and subsequently gave astronomers the first insights into JWST’s unprecedented exoplanet characterization capabilities. The data was collected using the NIRSpec PRISM observing mode, which provides broad-wavelength observations typically between 0.5 and 5.5 microns. Our intent was to use the publicly released data files and independently confirm the findings of the Early Release Science team while simultaneously validating our own data analysis pipeline. Our custom methods produced satisfactory results, ultimately yielding a transmission spectra that was consistent with that of the ERS team. Following this, we turned our attention to our second planet, WASP-178b, using data from the Cycle 1 program JWST-GO- 2055 (PI Lothringer). Using the G395H NIRSpec observing mode, which provides narrower wavelength coverage (~3-5 microns) with higher-resolution (R~3000), we constrained atmospheric conditions and molecular abundances, specifically H2O and CO. Though these two gas giants are quite unique, we present the results of each study side-by-side to highlight similarities and differences of both planetary atmospheric composition and the JWST observation modes which provided the data.

Authors: Danielle Keysaw, Michael C Rotter. Mentors: Michael C Rotter. Insitution: Utah Valley University. New botany students are faced with a long list of confusing terminology used within dense textbooks and dichotomous keys. This can be a challenge to learn all the terminology while learning how to identify plants by their various parts which may also be out of date due to the constant change within the field of Botany. The Field Manual of the Utah Valley Flora is written by students for students which results in a more user-friendly resource for learning that is up to date. Students in select botany classes are assigned a specific genus of plants that are found within the vicinity of Utah County (Utah Valley). Students use Utah Valley University’s herbarium, mapping and imaging software, as well as online databases to write descriptions for each species, creating a dichotomous key, and designing range maps. By allowing students to contribute to this field manual, not only will it be easier to read, but it also encourages engaged learning as well as a great opportunity for students to gain experience in technical writing, research methods, and current knowledge of plant terminology and nomenclature. Using the genus Veronica, I demonstrate the process in writing a full treatment for inclusion in the Field Manual of the Utah Valley Flora. First, I looked for details about each species morphology (such as the habit of the plant and the leaves, stems, roots, and flower details). These details allow me to write individual species descriptions for plants in Utah County. Herbarium records are used to describe the habitat and distribution within the greater Utah Valley Region. Next, I used a camera attached to a dissecting microscope to provide pictures of the plants for aid in identification. Lastly, I present a finished and full treatment for the genus Veronica found in Utah Valley. These plants are often considered weeds, but some have medicinal traits used by indigenous peoples as well as serve as habitat for some butterfly and moth species.

Authors: Jaycob M Russell, Sujeong Hwang, Jake A Harward, Emily R Morden, Danielle T Taylor, Devin H Taylor. Mentors: Danielle Taylor, Devin Taylor. Insitution: Utah Valley University. Fetal alcohol spectrum disorder (FASD) is estimated to cost four billion dollars per year in the United States that has a wide range of symptoms including low birth weight, microcephaly, and neurobehavioral problems (Belhorma et al., 2021). Drosophila melanogaster is a prime model organism to study FASD as they have variation in sensitivity to alcohol, metabolic and functional tolerance, and withdrawal to ethanol. We collected wild-type (WT) fly embryos and raised them in a regular diet or an antioxidant supplemented diet (acai or curcumin) both with or without ethanol exposure during development. Adult 4-8 day old fruit flies were starved for 24 hours before the conditioning paradigm. The different conditions included exposure to different odors in either an agar environment (CS-) or agar with sucrose (CS+) environment. After conditioning flies were starved again for 24 hours before testing. Y-mazes were used to test their learning and memory abilities. We hypothesized that flies reared on ethanol with the supplemented diet of antioxidants will show an increase in learning and memory performance compared to the FASD condition of flies raised in normal food without antioxidant supplementation, as flies raised in antioxidant supplemented diets will have less oxidative stress. Performance indices for Y-maze tests were calculated based on published protocols: [# No. of flies choosing (CS+) - # No. of flies choosing (CS-) ]/ Total # of flies that made a choice (Mohandasan et al., 2020).

Authors: Andrew Knowlton, Matt Olson. Mentors: Matt Olson. Insitution: Utah Valley University. Snow melt is one of the most important parts of Utah’s water budget and has an impact on the Great Salt Lake (GSL) ecosystem, which hit a historic low point in 2022. One aspect contributing to water availability is an increase in dust on our snowpack which enhances snow melt and causes less water in the GSL basin. Using satellite imagery, we will calculate the increase in energy (radiative forcing) over the snowpack due to dust on snow. In previous research, I used a coarse satellite product from the Moderate Resolution Imaging Spectroradiometer (MODIS) to locate areas of dust hotspots on snow in the mountains surrounding the GSL. This project will use imagery with higher spatial detail (Landsat 8) using the same algorithm to measure radiative forcing over snow due to dust deposition. I will compare this data to the same algorithm using MODIS data to have a better analysis of dust in the snowpack. After performing this analysis I can better understand how spatial detail and acquisition frequency affect our accuracy at detecting radiative forcing due to dust on snow and how it changes our water budget.

Authors: Matthew Drachman, Caden Weaver, Nicholas Martin. Mentors: Kal Munis. Insitution: Utah Valley University. There has been a lot of public debate in recent years when it comes to the topic of guns in the United States. Scholarship on the subject has shown varying opinions on how people believe on gun ownership, along with the subject of carrying firearms in public. A Pew Research study found 46% of people supported concealed carrying in places, while support among gun owners was 67% (Parker et al., 2017). While research has been conducted on concealed carry, research on open carry support and the factors that contribute to it are rather unknown. Within our study, we attempt to see how support for open carry, which is legal in most places in the U.S., is affected based on who is doing the open carrying of firearms. Particularly controversial political and racial groups. Within our model we randomly assign survey respondents to either our control question to gauge their support for open carry, or one of four vignettes we have designed to see if exposure to the treatment causes a change in how support for open carry will change. Our results have important implications pertaining to attitudinal (in)stability on core civil liberties within the United States.

Authors: David Schloesser. Mentors: B Kal Munis. Insitution: Utah Valley University. How do place-based identities influence American’s attitudes towards perpetrators of politically motivated violence? Through the implementation of a pre-registered conjoint experiment, I seek to answer this question. Ideally, and under normative circumstances, punishment of politically motivated violence should be applied to perpetrators with considerations only towards what/who was targeted in the act and the severity of the violence committed. In the U.S. however, evaluations of guilt are determined through the trial of peers, leaving room for the influence of in-group and out-group biases to appear in the judgement of perpetrators according to the suggestions of Social Identity Theory. As such, biases arise that cloud human judgement based on preconceived attitudes towards various group identities that influence our opinions when judging other individuals. One’s sense of place, or how strongly they identify themselves with their locality and its’ culture, is one of these powerful group social identities that establishes a salient “in-group” persona to other locals, while influencing attitudes towards various “out-groups” of people not from that place. Holding constant other considerations pertinent to acts of politically motivated violence, Americans more harshly evaluate perpetrators of violence from geographic communities other than their own. To judge the relative weight that these place-based identities hold towards the judgement of political violence perpetrators, evaluators were presented with perpetrators with randomly assigned personal characteristics (e.g., where they are from) and varied features of the violent act (e.g., how severe the act was, what/who was targeted), and asked to determine the level of punishment or mercy to be assigned to each perpetrator. I found that perpetrator place characteristics indeed influences the evaluator’s excusal of political violence, however when weighted against the features of the act, the nature of the act matters much more for evaluations on average. These findings can be interpreted as normatively negative, given that an evaluator’s place identity appears to reflect in-group out-group biases that affect the assignment of punishment to a crime. However, the disproportionate effect of the violent act’s target and severity are normatively encouraging.

Authors: Adam Smith, adam@tallsmith.com. Mentors: Kal Munis. Insitution: Utah Valley University. The social desirability bias is a well-documented and well-studied phenomenon in the social sciences, but it has only been in relatively recent literature that experimentalists have begun to study the effects treatments have on the manner in which the social desirability bias is reflected in social behavior. The aim of this study is to test the effects of perceived privacy influences the way people answer this question: "What is the aim of politics?" This study seeks to replicate findings in other research that has delved into the relationship between perceived privacy and social desirability. Another significant area of interest is how neurodivergent identity, especially autism, fits into the relationship. With this study, we can better understand how social desirability affects political discourse as well as provide insights into the neurodivergent mind and how it relates to politics.

Authors: Bryan Jay Frandsen. Mentors: Joseph McMurray. Insitution: Brigham Young University. This paper expands on a citizen-candidate model of electoral competition under both plurality rule and ranked choice voting. The paper finds that ranked choice voting nominally avoids Duverger’s Law by accumulating many identical candidates but yields fewer viable equilibrium policy positions than plurality rule. Additionally, ranked choice voting favors moderate candidates and policies, increasing the probability of their implementation compared to plurality rule. This moderate bias leads to lower polarization in equilibrium than is possible under plurality rule.

Authors: Ethan Reese. Mentors: Russ Bailey. Insitution: Utah Valley University. Many individuals struggle with oppressively high standards for their character, behavior and environment, know commonly as perfectionism. Perfectionism also carries significant attention in the fields of psychology, at least partially because of its association with higher rates of OCD, depression and anxiety, but also higher performance and goal-achieving (Lunn et al., 2023). The presentation will be synthesized from available literature, and focus on how perfectionism can be positive or negative, and how to effectively adopt beneficial perfectionism. Special emphasis will be placed on the role of perfectionism in academic and workplace settings.There are moderating factors that distinguish adaptive perfectionism from maladaptive perfectionism and various sources of perfectionism, including self-prescribed, socially-prescribed, and other-oriented perfectionism (Benson, 2003). There are diverse explanations of the many ways individuals strive for perfection, or how they impose expectations of it on others, and many of those will be elaborated on. Therapists have both the ability and the professional responsibility to assist in those efforts. The therapeutic modalities specifically suited for working with perfectionism and the consequences of complex relationships between it and certain mental illnesses will be presented for analysis. This discussion will benefit individuals inside and outside of mental health professions alike through exploreing the process of turning perfectionism adaptive, as well as provide direction for future research in on the topic.References:Lunn, J., Greene, D., Callaghan, T., & Egan, S. J. (2023). Associations between perfectionism and symptoms of anxiety, obsessive-compulsive disorder and depression in young people: A meta-analysis. Cognitive Behaviour Therapy, 52(5), 460–487. https://doi.org/10.1080/16506073.2023.2211736Benson, E. S. (2003, November 1). The many faces of perfectionism. Monitor on Psychology, 34(10). https://www.apa.org/monitor/nov03/manyfaces

Authors: Rachel Krupnek. Mentors: Jie Liu, Sazib Hasan, Vinodh Chellamuthu. Insitution: Utah Tech University. Many groups are interested in potential market indicators because more than 60% of adults in the United States have investments in the stock market. Extreme stock trading volumes can be an important indicator of unusual market events, including those that precede market crashes. Several studies utilized Extreme Value Theory (EVT) and the Generalized Pareto Distribution (GPD) to examine and model the behavior of these extreme volumes. In particular, various estimation techniques are explored within the GPD framework to best fit the stock trading volume data. The goal of this study is to utilize mathematical approaches in economics. Our results have implications in both mathematical and economic fields, providing benefits by enhancing our ability to analyze and prepare for extreme market occurrences.

Authors: Matthew Williams. Mentors: Elena Laricheva. Insitution: Utah Valley University. Protein-ligand docking is a computational method widely used in drug discovery to predict binding affinities of small molecules to target receptors. However, despite its widespread utility, the method has inherent limitations that can lead to false negative and false positive results, affecting its reliability. False positives occur when docking predicts strong binding affinities that experimental evidence does not confirm, while false negatives arise when the method fails to identify potent binders validated in experiments.Various factors contribute to these inaccuracies, including limitations in scoring functions and search algorithms, but a significant issue lies in the neglect of protein dynamics, i.e., receptor flexibility. To address this limitation, flexible docking methods, which partially account for receptor flexibility, have been developed, but they come at a considerable computational cost. In this project, we incorporated molecular dynamics simulations and k-means clustering to improve prediction of binding energies of a series of small molecules to the human dopamine 2 receptor, a crucial therapeutic target for neuropsychiatric disorders.Our findings demonstrate that sampling conformational states through molecular dynamics and clustering, followed by docking to representative clusters, offers a more accurate assessment of binding energies. Remarkably, this enhanced predictive capability is achieved with minimal additional computational expense.

Authors: Heather Smith. Mentors: Vinodh Chellamuthu, Jie Liu, MD Sazib Hasan. Insitution: Utah Tech University. The invasive species Japanese Beetle (Popillia Japonica) poses significant ecological and economic challenges in the United States, with an annual expenditure exceeding $300 million on damage repair and control efforts. The beetle's life cycle predominates as grubs in turf from late August to April, suggesting a strategic window for control interventions. We developed an individual based model of the Japanese Beetle life cycle, utilizing predator-prey models, to demonstrate the effectiveness of various control methods. Our findings would suggest that ideal timing of grub treatments within the diapause stage markedly reduces beetle populations and is a cost-effective control method. The results of this model can inform land management decisions in controlling Japanese Beetles.

Authors: Ben Martinez, Virginia Merrill. Mentors: Muhammed Yildiz. Insitution: Utah Tech University. This study investigates the multifaceted dimensions of food insecurity among students at Utah Tech University, drawing from the American College Health Association National College Health Assessment survey conducted in Spring 2021, comprising a sample size of 347 students. Shockingly, 46.7% experienced food insecurity in the past 30 days, with certain demographics disproportionately affected—specifically, male, nonwhite, non-heterosexual, disabled, athlete, and single students. We also found associations between food insecurity and deteriorating health and well-being. Those affected reported significantly lower overall health and well-being levels, alongside heightened instances of suicidality, stress, and psychological distress. This research underlines the urgency to address food insecurity, particularly among at-risk demographic groups, and emphasizes the critical need for targeted interventions and support mechanisms. It highlights the concerning link between food access and mental health and advocates for inclusive strategies to address disparities among students. Implementing support systems to mitigate food insecurity's adverse impacts is crucial in fostering an environment conducive to the academic success and overall well-being of all students at Utah Tech University.

Authors: G. Colton Gardner, J David Symons, Sohom Mookherjee, Michael Judge, Lynasi Gapelu, Sihem Boudina. Mentors: J. David Symons. Insitution: Utah Valley University. The prevalence of cardiovascular disease (CVD) is higher in residents of rural vs. urban communities, and in older vs. younger individuals. Precise mechanisms responsible for CVD are elusive, and the need for new and novel therapeutic interventions is urgent. Autophagy is a conserved process whereby damaged and dysregulated intracellular proteins are identified, tethered, and escorted to the lysosome for degradation and recycling. Emerging evidence indicates that autophagy is important in maintaining endothelial cell (EC) proteostasis and function. For example, my laboratory showed that: (i) autophagy repression specifically in ECs of adult mice produces arterial dysfunction; and (ii) indexes of autophagy are repressed in ECs of older vs. adult mice and humans that display concurrent EC dysfunction. Sequestosome 1 (p62) tethers proteins targeted for degradation and enables their entry into the autophagic pathway. The contribution from EC p62 to arterial function is unknown. To address this, p62 was depleted from ECs of adult male and female mice (KO) using genetic procedures, and results were compared to animals wherein EC p62 is intact (CON). It was hypothesized that depleted p62 would induce arterial dysfunction. The efficacy and specificity of EC p62 depletion was evaluated in both groups by measuring p62 mRNA (qPCR) and protein (immunoblotting) expression in ECs and vascular smooth muscle. At tissue collection: (i) contraction to non-receptor (potassium chloride) and α-1 receptor (phenylephrine) mediated agonists, and relaxation to endothelium-dependent (acetylcholine) and independent (sodium nitroprusside) stimuli, were measured using isometric (mesenteric arteries) and isobaric (cerebral arteries) approaches; and (ii) intravascular signaling pathways (immunoblotting) important to vasorelaxation were assessed in both groups. Our preliminary findings found no significant differences in arterial function between groups. However, our data suggests that another cohort of mice may lead to statistical significance, and this is actively being conducted. While our results indicate EC specific p62 depletion does not impact arterial responsiveness, hypoxia or ischemia might unmask differences. Additionally, even though EC specific p62 depletion was inducible, other proteins with similar roles (e.g., NBR1) might have upregulated in a compensatory manner. All of these are topics for future study and projects are being designed to investigate them. While this study did not provide enough evidence to confirm the original hypothesis, it did provide several new questions that need answers, and this will direct the future research ambitions of this ongoing project.

Authors: Rafael Deo. Mentors: Matthew Wilcox. Insitution: Brigham Young University. A listening test is an important method used to assess language proficiency. It can be used as placement tests, pre and post-tests, research purposes, classroom evaluations, and many more. Comparison of results of such tests can also be used to assess language gain throughout a period of time. However, to create such listening tests that can genuinely evaluate an individual's ability, audio quality plays an important role, too. This factor should be addressed because it seems trivial, even though it can affect test-takers results. Through this presentation, I will provide general guidelines and practical tools for finding, evaluating and capturing listening passages for proficiency tests.

Authors: Maggie Wu, Ashley Littlefield, Bryant Jones. Mentors: Bryant Jones. Insitution: Snow College. A novel method of predictive thermodynamic property mining using AIMD simulations of molten salts for use in molten salt nuclear reactorsSolving the worlds energy crisis has been a heavily debated and researched topic for many years. One proposed solution to this problem is the micro molten salt nuclear reactor (MMSR). The MMSR is a small portable nuclear powerplant that can provide an affordable source of energy that is completely safe, readily available, and passively controlled. The waste products from this reactor are also heavily sought medically important isotopes. One final hurdle for MMSR development is the mining of the thermodynamic properties for previously unstudied eutectic mixtures of molten salts. Due to the hygroscopic nature of molten salt eutectics, experimental techniques for measuring thermodynamic properties are time and cost prohibitive. Modern supercomputing techniques provide a solution for property mining. However, computational methods have been historically limited to previously experimentally studied salts. There has always been a need for experimentally measured values to be determined first to provide tuning for the computational techniques. This group has developed a novel technique for tuning the values for previously unstudied salts. This greatly enhances the predictive capabilities of computation methods. This technique was then employed to successfully measure the density, Heat capacity, and coefficient of thermal expansion for two promising uranium salt eutectics. These studies provided the data to also study the molecular structure of these salts. This study showed interesting new aggregation of the uranium atoms that will be presented.