2020 Abstracts

Geist, Claudia; Collins, Saffron (University of Utah)
Faculty Advisor: Geist, Claudia (Social and Behavioral Sciences, Sociology)

Unplanned pregnancies can have negative effects, especially in poor communities. There is little research about the perceived impact of a hypothetical pregnancy. Understanding individuals' ideas about how unplanned pregnancies might affect their lives will help us understand contraceptive behavior and ideas about family formation.

We explore the perceived impact of a hypothetical pregnancy among individuals who participated in the HER Salt Lake Contraceptive Initiative (Sanders et al., 2018). We coded 800 responses to the question "Please tell us a bit more about how a pregnancy now or in the next few weeks would affect your life." A desire to avoid pregnancy for the next year was an enrollment criterium, so most participants had negative feelings about a hypothetical pregnancy. However, we found that the kind of anticipated impact varied.

The most common response was a worry about financial resources (30.6%), followed by educational goals (20.4%): "It would stop my plans of going to graduate school and hurt my financial situation greatly. It would hurt my current relationships with partners and family and would be very emotionally and physically stressful." "Pregnancy now would rock my world. I am a single mom of 2 toddlers who's going to school part time and working part time. If I were to become pregnant now or in the next few weeks I wouldn't be able to accomplish the goals that I have set for myself." About 16.9% of participants mentioned negative impact without being specific. However, 5.4% of the respondents reported positive thoughts about a hypothetical pregnancy.

Our study may help scholars and medical providers get a better understanding of the precursors of decision-making processes for contraception and family planning. It will also illustrate where individuals faced with an unplanned pregnancy may need support.

West, Noelle; Chellamuthu, Vinodh (Dixie State University)
Faculty Advisor: Chellamuthu, Vinodh (Dixie State University, Mathematics)

West Nile Virus (WNV) is a vector-borne illness that has circulated among birds, eventually spreading across the globe. This disease has resulted in thousands of infections and deaths. Several studies suggest that passive immunity in birds and vertical transmission in mosquitoes play a crucial role in the spread of the disease. We have developed a mathematical model to investigate the effects of passive immunity and vertical transmission within the disease dynamics. Our simulation results suggest that passive immunity increases bird resistivity to WNV and that vertical transmission among mosquitoes increases the spread of WNV. Moreover, we expect this model to be used by mosquito abatement centers to estimate the populations of immune birds and to simulate disease outbreaks in the local community.

Dallon, John; Neubert, Nathaniel; Evans, Emily (Brigham Young University)
Faculty Advisor: Dallon, John (Brigham Young University, Mathematics); Evans, Emily Brigham Young University, Mathematics)

The organization of collagen fibers within the various connective tissues of the body plays an important role in the functionality of the organs they support. While the biochemical composition of collagen lattices is largely understood, it is difficult to study how the microstructural organization of collagen affects the macroscopic tissue properties. In this project we computationally stretch stochastically generated lattices consisting of nodes joined by spring like connections representing the fibers of a collagen lattice to examine how varied nodal connectivity, fiber length and fiber orientation affect the Young's Modulus of the lattice. This information will aid biologists in the production of synthetic lattices by providing a guideline of parameters that are most important to control in the creation of lattices with specific desired properties. This in turn will provide insights into bioengineering, wound care and other medical sciences.

Jensen, Daelin; Aitken, Talon; Baxter, Melanie (Brigham Young University)
Faculty Advisor: Tessem, Jeffery (Brigham Young University; Nutrition, Dietetics, and Food Science)

As of 2017, over 400 million people were diagnosed with diabetes mellitus. This is becoming a worldwide concern as the number of people affected by diabetes is growing at an alarming rate. Functional pancreatic β-cell mass is responsible for maintaining healthy blood glucose levels through the production of insulin. A hallmark of both type 1 and type 2 diabetes is a relative or absolute loss of functional β-cell mass and, consequently, decreased insulin production. Two possible approaches for replenishing the β-cells are: 1) replacement through cadaveric donors and 2) regeneration of endogenous β-cells. A major impediment to these approaches is that aged β-cells are refractory to genes that are known to induce proliferation in young β-cells. It is currently unknown why aged β-cells are refractory. . We hypothesized that age-dependent changes to the proliferative capacity of β-cells are influenced by increasing levels of cyclin-dependent kinase inhibitors (CDKI). CDKI's bind to cyclin-dependent kinases, effectively halting the cell cycle and proliferation. Here, we demonstrate the expression of the Ink4 and Cip/Kip families of CDKI's by mRNA and protein expression in five week old and five month old Wistar rat β-cells. Greater understanding of the proliferative mechanisms of the β-cell will allow greater application of the aforementioned treatments.

Wik, Daniel (University of Utah)
Faculty Advisor: Wik, Daniel (Science, Physics and Astronomy)

Mergers between galaxy clusters are some of the most energetic events in the universe, driving shock fronts in the intracluster medium (ICM), an X-ray hot plasma permeating the cluster. Shock fronts heat thermal electrons, causing an increase in their temperature. The mechanism by which this occurs is undetermined, with two models being proposed to explain the phenomenon. The first proposes direct shock-heating and the second suggests indirect adiabatic compression, with the electrons subsequently equilibrating with ions heated by the shock. We utilize NuSTAR observations, advantaging its effective area at higher energies, of a shock in the merging cluster Abell 665 in order to discriminate between the models. To do so, a temperature profile was constructed across the shock, utilizing spectral fitting, and compared against the models' predictions. In addition, temperature maps across the cluster were generated to better understand the merger event as a whole. We find that the temperature profile is suggestive of the shock model but is not yet statistically significant, due to NuSTAR's comparatively worse spatial resolution. As a result, we apply a novel joint fitting technique to NuSTAR data and Chandra observations in order to statistically distinguish between the models for the first time, accounting for the scattering of photons due to the PSF. Understanding these processes increases our understanding of the magnetic field of the ICM, allowing for mass determination, permitting galaxy clusters to be used to constrain cosmological studies.

Paulding, Anna (Utah State University)
Faculty Advisor: Bradbury, Kelly (College of Science, Geosciences Department)

A dramatic increase in seismicity has occurred in the midcontinent region since 2009 (Rubinstein and Mahani, 2015), causing public concern for the stability of infrastructure and buildings. Several studies have directly linked this seismicity to the reactivation of buried fault systems near the Paleozoic sedimentary bedrock-Precambrian crystalline basement contact as a result of high volumes of injection of wastewater produced by the oil and gas industry (Ellsworth, 2013; Keranen et al., 2013).

The reactivation of fault zones due to fluid injection is not only influenced by injection rates but also by the ability of fluids to migrate along or across the contact, which is controlled by the rock properties and geologic setting. To better understand the rock property variations that may occur along the nonconformity interface, we use an outcrop analog site of an exhumed fault near Gunnison, Colorado. My undergraduate research focuses on using a portable handheld X-Ray Fluorescence Unit (pXRF) as a tool to measure compositional variations in outcrop. To directly compare data, a calibration using 16 USGS Concentration Standards as well as 12 analog samples will be used to create a calibration optimized for this specific suite of rocks which informs the accuracy of in-situ field data measurements against laboratory measurements of powdered samples, influencing how future pXRF measurements can be analyzed. Micro-scale variations of major and trace element concentrations reflect alteration and related fluid-rock interactions and may serve as a proxy for fluid migration along or across faulted sections of a nonconformity interface. I propose that calibrated pXRF data and whole rock XRF data is a useful tool for understanding the nature and degree of rock alteration in fault zones and across analog sites nonconformity interface. These data can aid in a more broad understanding of how pXRF data can be used in the field to characterize the nonconformity interface and fault zones.

Perdue, Perdue; Burke, Joshua; Bylund, Kevin; Stephen, Daniel (Utah Valley University)
Faculty Advisor: Stephen, Daniel (Utah Valley University, Earth Science)

The Sundance Sea covered much of western North America during the Middle to Late Jurassic Period. Deposits from this vast epeiric sea are now widely exposed across the region, including the Stump Formation in northeastern Utah, which consists of sandstones and shales reflecting shallow marine deposition. Well-preserved belemnites (Pachyteuthis densus, Oxfordian Stage, ~156 Ma) collected from this unit preserve stable isotope data (_18O and _13C ) that can be used to better understand the paleoceanography and paleoclimatology of the area, as well as possibly some paleobiologic characteristics such as migration patterns through the life cycle and age at sexual maturity and death. Incremental growth of belemnites created growth bands that record isotopic values through various life stages, thus potentially providing information about the life history traits of these organisms, in addition to seasonal temperature variations. Preliminary results suggest our material is consistent with previous reports from other locations in the region, with paleotemperatures in the 17 to 20° C range. In addition, there is some indication of seasonal variations. However, analyses of more samples and further evaluation of potential diagenetic alteration is necessary before more robust conclusions can be drawn.

Hedelius, Bryce; Millecam, Todd; Wingate, David; Della Corte, Dennis (Brigham Young University)
Faculty Advisor: Della Corte, Dennis (BYU College of Physical and Mathematical Sciences, Physics); Wingate, David (BYU College of Physical and Mathematical Sciences, Computer Science)

Substantial progress has been made in the past several years towards the accurate prediction of protein tertiary structures from primary sequence, aided greatly by the integration of machine learning. Current success is based on two-stage protocols: first, the training of a deep convolutional neural network (CNN) to predict macromolecular structure restraints, and second, the use of these restraints to construct a folded three-dimensional structure of the target protein. Such a two-stage folding protocol was used by DeepMind in the recent Critical Assessment of Structure Prediction (CASP13), which outperformed all established groups. However, DeepMind has not expressed a plan to publish the code of their AlphaFold protocol. Here we present ProSPr, a network representing the first part of the AlphaFold pipeline for predicting interatomic distances, and demonstrate its abilities in the contact prediction task relative to other state-of-the-art methods. We also investigate and report on the roles of certain input features in prediction quality. ProSPr is made freely available to the scientific community both as source code and a Docker container, which we anticipate will encourage the development of better techniques for assembling protein structures from restraints.

Johnston, Olivia; Preston, Kolten; Hoyt, Tyson; Owens May, April; Bentley, Kaden; Gunnerson, Shane; Johnson, Alex; Parr, McKenna; Reeves, Duncan; Parry, Whitney; Rawson, Clayton; Hart, Vern (Utah Valley University)
Faculty Advisor: Hart, Vern (Science, Physics)

Recent efforts in early cancer detection require identifying the disease at a cellular level, by distinguishing cancer cells from healthy cells at low concentrations (<0.1%). Cancerous cells typically have larger nuclei than healthy cells and can be distinguished using a variety of optical techniques, however, this process is complicated when the fraction of malignant cells is extremely low. As such, high-precision detection requires highly accurate measurements of cell confluence and the ratio of healthy to cancerous cells. Techniques such as machine learning and Fourier analysis have been used to auto-segment cells in microscopy images. However, these techniques often lack a ground truth standard to validate the segmentation results. We present a methodology for producing agarose tissue phantoms embedded with mixed polystyrene microbeads of varying diameters. These phantoms were imaged using a 2D translational stage and a microscope camera, collecting hundreds of images that were input to an artificially intelligent neural network for training and classification. The ability of this binary classifier to identify and quantify micro-beads in the images was assessed by comparing the automated results to manual counts, producing accuracies above 90% for bead sizes ranging from 50-200 microns. Auto-segmentation results will also be presented for mixtures of micro-beads and U-87 (glioblastoma) cancer cells, which differ in shape and morphology from the beads but whose boundaries are significantly less defined. The ability to accurately segment two different cell types in vitro would be highly beneficial for future cellular imaging studies.

Ballantyne, Eliza; Buck, Lance; Cox, Zach; Adams, Brittney; Trappett, Matthew; Shipp, Dustin (Utah Valley University)
Faculty Advisor: Shipp, Dustin (Utah Valley University, Physics)

Understanding how cells metabolize the chemicals around them on a single cellular level is paramount to analyzing the effectiveness of pharmaceutical drugs. Discrepancies between pharmaceutical drug results during lab testing versus in actual patients are an expensive and time consuming obstacle. These differences could be alleviated using Raman spectroscopy by testing based on an overall chemical map instead of individual factors. Raman spectroscopy has great potential to aid this process because of its ability to present a chemical fingerprint of an entire cell without interfering with the cell's natural responses to chemical changes.

Using Raman spectroscopy to develop an additional method for observing cell metabolism will enhance understanding of cell function and advance studies focused on the results of chemical effects on cells in vivo. As a step toward this goal, this project is currently focused on obtaining time-lapsed Raman images of glucose uptake. Using glucose metabolism, we are able to model a system for more complicated pharmaceuticals. This study has explored methods for collecting Raman spectra in vivo, balancing time-dependent data collection with the time-constraint of working with living and changing cells. Raman spectra describing the chemical makeup of glioblastoma cancer cells as they metabolize glucose were analyzed and used to create time-lapsed images during uptake.

Our process presents a new lens for understanding cell metabolism and a potential tool for analyzing an additive's effect on a single-cellular level. We developed a platform and method for measuring chemical changes in cells over time. Next stages for this research include observing how metabolism varies depending on what additives are used for uptake and quantifying metabolic differences between types of cells.

Watts, Austin; Crook, M. B. (Weber State University)
Faculty Advisor: Crook, Matthew (College of Science, Microbiology)

Auxin is a known growth hormone for plants and many plant-beneficial bacteria are known to produce it. It has previously been shown that Rhizobium sp. IRBG74 promotes growth of rice, but the mechanism is unknown. We hypothesized that Rhizobium sp. IRBG74 accomplishes this by production and secretion of auxin. To address this hypothesis, we first performed a bioinformatic analysis to identify putative auxin biosynthesis genes in the genome of IRBG74 using BLAST with known auxin biosynthesis genes as queries. To test whether the genes identified by BLAST play a role in promoting growth of rice, we are making in-frame deletions of each one. Briefly, we use overlap-extension PCR to create and stitch together deletion fragments and then we clone these fragments into the sacB deletion vector pJQ200SK. The target genes are then disrupted by homologous recombination and then deintegration is selected for with sucrose. After this is done we test the mutant to verify the deletion occurred by PCR. Once the deletion mutants are verified, each one is tested on rice seedlings and compared to wild-type IRBG74. Rice growth is quantified by shoot dry weight and by root branching, as measured using ImageJ.

Morris, Nathaniel; Jensen, Joseph (Utah Valley University)
Faculty Advisor: Jensen, Joseph (Utah Valley University, Physics)

We measured the brightness of Milky Way stars to determine if they have an effect on extragalactic surface brightness fluctuation (SBF) distance measurements. When SBF measurements are made on background galaxies near the Galactic plane, we observe a large number of stars in the foreground. With most SBF measurements, we can mask out the brightest stars, and make measure SBF with a relatively uncontaminated background. This becomes more difficult with galaxies that are close to the Galactic plane because there are many more foreground stars, and undetected fainter stars that escape the masking process can bias the distance measurement. My research will determine if these unmasked foreground stars have a significant effect on the SBF measurements on these galaxies near the Galactic plane.

Stokes, Jessica; Burnett, Brandon (Weber State University)
Faculty Advisor: Burnett, Brandon (Weber State University, Chemistry)

Mechanochemistry has become a growing avenue for materials synthesis, as it typically requires little to no solvent, and often creates different crystalline phases compared to traditional synthetic methods. Liquid-assisted grinding, a form of mechanochemistry, was used to synthesize porphyrin paddle-wheel frameworks (PPFs). Three different crystalline phases were targeted in order to test the viability of this method on this class of materials and observe any difference compared to traditional solvothermal synthesis. X-ray diffraction was used to confirm the formation of each PPF phase. We found that mechanochemistry was indeed successful to sustainably synthesize PPFs. Additionally, we observed a significant difference in phase preference between the traditional solvothermal synthesis and liquid assisted grinding methods.

Covey, Tracy; Alsup, Garrett; Kreinbrink, Alexia (Weber State University)
Faculty Advisor: Covey, Tracy (College of Science, Department of Chemistry and Biochemistry)

Certain over-the-counter medications, such as acetaminophen and ibuprofen, are known to have an effect on the bioavailability of warfarin, enhancing its anticoagulant properties. The goal of this project is to study how varying the concentration of ibuprofen or acetaminophen affects the amount of warfarin bound to blood plasma proteins. To better understand how strong these drug-drug interactions are with warfarin, we proposed capillary electrophoresis (CE) as an analytical method to separate and detect these compounds. Acetaminophen, ibuprofen, and warfarin have all been analyzed using CE in the literature, so we sought to develop a CE method to separate and detect all three drugs together. We are currently optimizing this method and will use this method to investigate warfarin displacement from plasma proteins by ibuprofen and acetaminophen.

McDowell, Trevor; Durfee Dallin (Utah Valley University)
Faculty Advisor: Durfee, Dallin (College of Science, Physics)

Interference Pattern Structured Illumination Imaging (IPSII) utilizing Mach-Zehnder Interferometry, allows us to surpass the Abbe Limit of traditional imaging techniques. To aid in this endeavor, my primary objective is to utilize a Michelson-Morley Interferometer with one of the arms being a long-distance, 300mm or greater, linear translation stage. Using the long-distance linear translation stage (LDLTS) to test both the repeatability and as well as angular stability of various LDLTS units so we may take measurements of fringe lines at arcseconds approaching a zero degree of angle. Though many designs currently available for consumer use have the linear repeatability needed, most if not all lack the angular stability needed. As such we are currently experimenting with current designs to see where the variances are and work in improvements so we may design our own LDLTS so we may be able to take such extreme angle measurements. In addition to improving the repeatability and angular stability of LDLTS's, the automation of the kinematic mirror mounts utilizing stepper motors is another primary concern. Our current issue is that we need to be able to adjust the reflecting mirrors on both the x-axis and y-axis and to do this the stepper motors need a travel distance of 27mm along the z-axis. The issue we have is we need a stable mount that addresses any torque lash while keeping them still and allowing movement on the z-axis. Through materials research for what to be used with the LDLTS as well as the stepper motor mounts, we will be able to take data points and processes data at a much greater and more accurate rate than we have in the past. Resulting in more time to conduct experiments and less time waiting for results.

Nanasi Sekona, Ashley Balderrama, Carlos Nunez, Kyle Hendricks, Tyson Hillock, and Dr. Olga Kopp (Utah Valley University)
Faculty Advisor: Kopp, Olga (Utah Valley University, Biology)

Over the last 30 years, the incidence of fungal infections has gradually increased. Mucormycosis is a fungal infection primarily caused by Rhizopus Oryzae. The majority of patients who develop invasive mucormycosis die within 12 weeks of diagnosis. Mucormycosis is commonly treated with an antifungal agent called Amphotericin B (AMB). When used in high concentrations, AMB causes severe side effects such as nephrotoxicity. It has been reported that 99% of microbes exist as biofilm: thus, there is a direct association between mucormycosis and biofilms. Shockwave has been shown to inhibit living bacteria in biofilm, but few studies have focused on the effects of shockwave on fungal biofilm. Previous work in our lab showed that shockwaves were effective in damaging biofilms of R. oryzae; but at the same time helped promote the metabolism of surviving R. oryzae. This study aims to investigate the proteins expressed in fungal biofilms when introduced to different intensities of shockwave coupled with the treatment of AMB. This will be accomplished by culturing sporangiospores and propagating R. oryzae biofilms. Standardized biofilm will be treated with 0.5 µg/mL AMB in 1% DMSO, and/or shockwave treatment of 300 pulses at 0.19 mJ/mm2 energy density to be measured against a control group. The proteins will be extracted, determined by 2D gel electrophoresis, and identified by mass spectrometry. Studying protein expression resulting from combination therapy of extracorporeal shockwave and AMB on R. oryzae biofilm could progress research surrounding the difficulties of mucormycosis treatments. Particularly, research aimed at counteracting the antifungal and antimicrobial resistance contributed by proteins in the fungi's biofilm.

Vilela, Ernie; Seal, Isaac; Ogden, Heath T. (Utah Valley University)
Faculty Advisor: Ogden, Thomas (College of Science, Biology Deapartment)

We are interested in using transcriptome data, generated with next generation sequencing technology, to investigate the evolutionary trends of specific genes and their associated expression in mayflies. We generated an additional transcriptome for mayflies. RNA was extracted from a freshly frozen specimen preserved in RNAlater® (Ambion) using TRIzol® Reagent (Ambion) and cDNA libraries were prepared from mRNA. RNA-seq data was generated using a paired-end protocol (PE100) on Illumina HiSeq2000 with an expected 60 million reads. In order to effectively investigate the large amount of sequences, we created a bioinformatics workflow to analyze the newly generated transcriptome data along with previous data for mayflies. The workflow consists of these main steps: Trinity (Assemblying the transcripts), Transdecoder (Identifying candidate coding regions), HMMER (Searching biological sequence databases for homologous sequences). We tested the workflow looking at opsin genes.

Forbush, Micah; Gold, Roger (Southern Utah University)
Faculty Advisor: Gold, Roger (Southern Utah University, Biology)

The health of a horse's teeth and oral cavity is strongly correlated with the horse's overall health and well-being. As a horse ages the oral cavity undergoes many distinct physical changes, which may lead to changes in the composition of the oral microbiome as well. While there has been extensive research performed on the oral microbiomes of healthy horses compared to horses with various oral diseases, very little is known about normal changes to the horse oral microbiome as they age. The aim of this study was to use high-throughput sequencing to compare the oral microbiomes of horses in different age categories. Total genomic DNA was isolated from oral swabs taken from horses in the 7 day-old, 1-7 years old, 8-15 years old and 16+ years old age categories. The V3-V4- region of the 16S rRNA gene was amplified by PCR and amplicons were submitted for paired-end sequencing on the Illumina HiSeq system. Sample reads were analyzed using the QIIME 2.0 microbiome bioinformatics platform and overall bacterial diversity was compared among age classes.