Architecture

Authors: Emma Parry, Nikki Trush, Christina Pondell. Mentors: Christina Pondell. Insitution: Utah Tech University. Rivers in arid environments provide extremely important sources of freshwater for local ecosystems and communities. These regions are highly vulnerable to climate change and are seeing high rates of human population growth. This leads to unsustainable demand on progressively more threatened freshwater resources. Despite the importance of these water resources for residential, agricultural, and environmental needs, there is little information available to describe long term changes to water quality in response to human and climate change. The Santa Clara River in southern Utah is one prime example of a threatened arid river system that serves as an important drinking water source to a rapidly growing human population. This 52-mile-long river flows from the Pine Valley Mountains and past the cities of Ivins, Santa Clara, and St. George before meeting with the Virgin River. This research discusses results from a water quality monitoring program initiated in February 2023. Our sampling efforts focused on the lower Santa Clara River between Gunlock Reservoir and the Virgin River confluence. We selected four sites to monitor the impacts of changes in land use and restoration efforts on the river’s water quality. In this presentation we discuss results from time series analysis and correlations between water quality, flow rates, and land use to describe how water quality responds to human and climate impacts on this arid freshwater resource. This research underscores the importance of establishing long-term monitoring capabilities for critical water quality parameters and provides valuable insights for sustainable water management and environmental conservation in southern Utah.

Authors: Savanna Greer. Mentors: Zhenyu Jin. Insitution: Utah Tech University. Geographic Information Systems (GIS) play a crucial role in predicting avalanches by enabling the analysis, visualization, and modeling of various spatial data that contribute to understanding avalanche risk. Here's how GIS can assist in predicting avalanches:* Terrain Analysis: GIS allows experts to analyze terrain features such as slope, aspect, elevation, and curvature, which are critical factors in determining avalanche-prone areas. Steep slopes, specific aspects, and changes in elevation are indicative of higher avalanche risk. GIS software can create detailed elevation models and analyze slope angles to identify potential avalanche zones.
* Snowpack Analysis: By integrating data from snow telemetry stations, weather stations, and remote sensing technologies, GIS can help monitor snow depth, density, temperature, and moisture content. These factors are critical in assessing the stability of the snowpack. GIS can create maps showing the distribution of snow depth and snow water equivalent, aiding in the assessment of avalanche risk.
* Historical Data Integration: GIS enables the integration of historical avalanche data and events into mapping systems. Analyzing past avalanche occurrences can help identify patterns, understand triggers, and determine high-risk areas. This data can be used to create predictive models.
* Weather and Climate Data: GIS allows the integration of real-time and historical weather data into avalanche prediction models. Changes in temperature, precipitation, wind speed, and direction greatly impact snow stability and can trigger avalanches. GIS can overlay weather data onto terrain and snowpack information to create comprehensive predictive models.
* Risk Zoning and Modeling: Using the spatial analysis capabilities of GIS, experts can create risk zones and models that categorize areas based on their susceptibility to avalanches. These zones help in urban planning, land-use management, and emergency response planning. GIS can also simulate and model potential avalanche paths, allowing for the visualization of potential avalanche runout zones.
* Decision Support Systems: GIS-based decision support systems provide valuable tools for avalanche forecasters and emergency management personnel. These systems integrate various data sources, allowing for real-time monitoring, risk assessment, and decision-making to mitigate potential avalanche threats.
* Communication and Public Awareness: GIS can be used to create maps and visualizations that communicate avalanche risk to the public, backcountry enthusiasts, and local authorities. This can aid in raising awareness and promoting safety measures in avalanche-prone areas.
By leveraging GIS, avalanche forecasters, researchers, and land management agencies can significantly improve their understanding of avalanche dynamics, develop more accurate predictive models, and take proactive measures to mitigate risks and enhance safety in avalanche-prone areas.

Authors: Allie Pace, Conner Bennett. Mentors: Marzieh Ghasemi. Insitution: Utah Tech University. The city of Saint George is reported as one of the fastest-growing cities in the USA with more than 40% change in its population from 2010 to 2022. With increasing population and subsequent consumerism, Saint George has seen a significant increase in waste production. Analyzing the data recorded by Washington County Solid Waste, revealed that municipal waste disposal has increased from about 136000 Tonnes in 2015 to around 227000 Tonnes in 2021. The preliminary data analysis showed that the maximum waste production mostly occurred in the peak season from March to May with approximately 20000 Tonnes of waste produced on average during these months in 2020. The purpose of this research is to study the trends in waste generation in Washington County, City of Saint George over the past 10 years. As a part of this research, the waste composition, the average waste production per household, and the possible factors that may contribute to changing waste production and composition will be investigated.

Authors: Trevor Ashby, Elizabeth Maclennan. Mentors: Gabriela Chilom. Insitution: Utah Tech University. This study explores the influence of organic amendment on the water retention and wettability of desert soils, which are traditionally challenged by limited water availability. The water retention was assessed by gravimetric methods and the wettability changes were assessed by using the contact angle and ethanol droplet methods. The aggregation and morphology of the soils was examined by Scanning Electron Microscopy (SEM). Application of organic amendments to desert soils altered their wettability, water retention, and aggregation in a manner not directly tied to the quantity of organic material incorporated. These alterations are indicative of complex soil-organic matter interactions that transcend mere carbon addition and underscore a multifaceted response of desert soils to organic amendments, which cannot be predicted by the amount of organic carbon alone.

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: 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.

Authors: Jaren Meikle, Samuel Archer. Mentors: Jacob Dean. Insitution: Southern Utah University. Dipyrroles are bicyclic, heterocyclic compounds ubiquitous in nature. Dipyrroles form subunits in commonly-occurring photoactive biological subunits such as bilins, and are thus remarkable in their ability to absorb visible light despite their chemical simplicity. In this work, the photochemistry of a model dipyrrole serving as an analogue to the core subunit found in bilins was investigated and found to show a proclivity to undergo pH-dependent reactions. When the acidic and basic variants were irradiated with blue light and the time-resolved UV-vis spectra were recorded, we found stark differences in reactivity between the two variants. The protonated variant is highly photostable and resistant to photoxidation with photonic energy being channeled into rapid internal conversion. The basic variant, however, undergoes consistent oxygen-dependent photooxidation, forming hydroxy and methoxy adducts. Our research is currently focused on elucidating the structure of these photoproducts, identifying the mechanism of photooxidation, as well as modeling the kinetics of the reaction.

Authors: Samuel Andersen. Mentors: Jianlong Han. Insitution: Southern Utah University. We study a Gray-Scott model arising from chemistry. Using nondimensionalization, we reduce the number of parameters, we also analyze the stability of the steady state solutions of the system.