2020 Abstracts

Taylor, Sarah; Fawver, Bradley; DeCouto, Brady; Lohse, Keith R.; Williams, A. Mark� (University of Utah)
Faculty Advisor: Lohse, Keith (University of Utah; Health, Kinesiology, and Recreation); Williams, Mark (University of Utah; Health, Kinesiology, and Recreation)

Achieving elite status in sport often requires athletes to overcome significant physical injuries. However, to date, there has been a paucity of studies exploring how hours engaged in practice and early developmental milestones influence injury rates in "high-risk" winter sports, such as alpine skiing. Moreover, despite numerous published reports on injury epidemiology, a lack of objective measures of performance has been a notable oversight. The purpose of this study was to assess how previous sport engagement and performance are related to injury in a sample of sub-elite youth alpine skiers. Adolescent skiers enrolled in U.S. academies (N = 169, males = 81) were given questionnaires assessing practice/injury history and sport-specific milestones, while performance in speed and technical disciplines were derived from participants' National points (i.e., ranking) for each year available. Simple correlations, MANOVAs, and linear mixed-effect regressions were used to assess relationships between predictors: age, gender, sport-specific milestones (e.g., age of first competition), practice hours, ranking; and the outcomes of interest: injury incidence (i.e., proportion of seasons an athlete sustained injuries causing them to miss > 4 weeks) and injury impact (i.e., average weeks missed due to injury each year). Results revealed that while older athletes had accumulated more injury weeks across their career (p = .020), female skiers reported greater injury incidence (p = .049). Neither injury incidence nor injury impact was associated with performance trends (all p's > .05), but they were negatively associated with time spent in group and individual practice (both p's < .05). Finally, the age of first competition was positively correlated with injury impact (p = .014). These and other findings are discussed in relation to previous studies of sport-injury, as well as applied implications for working with developmental athlete populations in high-risk domains.

Contreras, John; Forrest, Rachel T.; Bayles, Madelyn (Westminster College)
Faculty Advisor: Contreras, John (Westminster College, Public Health); Forrest; Rachel T. (Westminster College, Public Health)

Air pollution, much of which results from human activities like transportation, may significantly harm children's health, from worsening asthma to potentially even lowering I.Q. This makes idling near schools a serious concern. In response, the EPA has developed an idle-free schools campaign. This campaign will be implemented during the 2019-2020 school year at a Salt Lake City elementary school. Ground-level ozone and PM2.5 levels will be measured before and after the campaign in order to determine its efficacy. Additionally, during the spring and summer of 2019, parents' perceptions of idling, and, by extension, air pollution, were examined using a focus group and a survey. The resulting data, which was analyzed using R statistical software and Excel, found associations between gender and beliefs about air pollution, as well as between education level and beliefs about air pollution. A better understanding of the effectiveness of the EPA's campaign and of parents' perceptions may be helpful in combating air pollution, leading to improved community health.

Gaona-Partida, Paul; Chan, Julian; Aguilar-Alvarez, David (Weber State University)
Faculty Advisor: Chan, Julian (Weber State University, Mathematics); Aguilar-Alvarez, David (Weber State University, Exercise and Nutrition Sciences)

PURPOSE/HYPOTHESIS:
Low hemoglobin (HB) levels are used to indicate anemia, which increases your risk for contracting infectious diseases and overall mortality. The rate of iron deficiency anemia in Ghana is more than triple the world average, making this condition a main health concern for the country. In this study, we sought to identify the influence of location and iron consumption on HB levels of Ghanaians.

METHODOLOGY:
Food frequency questionnaire was given to 140 participants in 5 different locations of Ghana (Jamestown, King Tower, Mole, Larabanga, University of Ghana). All food was classified as low, medium, or high iron content according to the USDA food database. Participants were categorized as adequate or inadequate iron consumers according to this classification. ANOVA and t-test analysis was conducted to determine the differences in hemoglobin level means. P-value was set at µ0.05 and HSD was used as the post-hoc test.

RESULTS/PREDICTED RESULTS:
Mole National Park population had higher HB (µ=13.3 ± 2.51) compared to Jamestown (µ=12.1 ± 1.97) (p=0.034) and Larabanga (µ=12.0 ± 1.97) (p =.032). Individuals classified as high iron consumers had significantly higher HB that their low iron consumers counterparts (µ=13.8 ± 2.42 vs µ=12.1 ± 1.97, p=0.001).

CONCLUSION:
We were able to identify foods associated with increased Ghanaians HB. Mole had higher access to iron-rich foods such as game meat, which was reflected in their HB levels. This study illustrates the importance of promoting consumption of indigenous iron-rich foods in the current Ghanaian diet to prevent iron deficiency anemia in this population.

Bergen, Makenna; Meier, Amanda; Thomas, Victoria; Banna, Jinan; Cluskey, Mary; Stokes, Nathan; Richards, Rickelle (Brigham Young University)
Faculty Advisor: Richards, Rickelle (Life Sciences; Nutrition, Dietetics, and Food Science); Stokes, Nathan (Life Sciences; Nutrition, Dietetics, and Food Science); Banna, Jinan (Tropical Agriculture and Human Resources (University of Hawaii at Manoa), Department of Human Nutrition, Food, and Animal Sciences)

Background: Food insecurity among college students has been reported to be as high as 59%. Most research related to this phenomenon has used quantitative approaches. The purpose of this study was to gain a deeper understanding of college students' perceptions of their own food security using qualitative methodology.
Methods: Researchers interviewed 57 college students at three universities across the western United States. A random sample of transcripts were independently coded in NVivo to determine interrater reliability. Kappa statistics ranged from 0.44-0.99 (food insecure) and from 0.73-0.99 (food secure), indicating moderate to almost perfect agreement. Percent agreement ranged from 92-100% (food insecure) and from 97-100% (food secure). Researchers then divided transcripts for final coding and overarching themes, including differences between food secure and food insecure students under each theme, were discussed.
Results: Three themes emerged to help explain drivers of food insecurity in college students: 1) transition from pre-college life to college life; 2) students' management of finances; and 3) methods and barriers to obtaining food. Differences were identified between food secure and food insecure students. Food insecure students prioritized other living expenses over food and used various strategies when funds were low: purchasing lowest cost campus meal plans, stretching food budget, buying cheaper groceries, and skipping meals. In regards to eating away-from-home, food insecure students prioritized eating at home, using discounts, or waiting to get paid before eating out. Both food secure and food insecure students reported positive aspects of using food assistance programs but believed stigma and embarrassment would deter students from using these programs. A few food insecure students expressed confusion about qualifying for these programs.
Conclusions: This study helps us better understand the context surrounding food insecurity in college students. This understanding could lead to broader solutions to helping college students become more food secure.

Thompson, Lauren; Ramous, Caroline; Ly, Kellsey; Luu, Kiana; Margetts, Alex; Warren, Tahno; Tippetts, Trevor; Choi, Ran Hee; Symons, JD (University of Utah)
Faculty Advisor: Symons, J. David (University of Utah, Nutrition and Integrative Physiology)

Type II diabetes mellitus (T2DM) is an epidemic worldwide. Cardiovascular complications (e.g. endothelial dysfunction and hypertension) are associated with T2DM. T2DM affects the quality of life for the patient and their caregivers, and the costs for treating cardiovascular complications are unsustainable. An urgent need exists to elucidate new therapeutic targets for intervention. Our laboratory is interested in defining the contribution from the sphingolipid ceramide. We reported earlier that arterial dysfunction and hypertension that otherwise develop in mice that consume an obesogenic diet is attenuated by pharmacological inhibition of ceramide using myriocin and by germline haploinsufficiency for dihydroceramide desaturase (DES1), an enzyme required for ceramide biosynthesis. However, each study had limitations. Myriocin improved systemic glucose homeostasis, and DES1 inhibition elevated dihydroceramides, both of which could impact arterial function. In the present study, we used a novel murine model to inhibit the rate-limiting enzyme responsible for ceramide biosynthesis (serine palmitoyl transferase light chain 2; Sptlc2) specifically in endothelial cells (ECs). We hypothesized that EC specific inhibition of ceramide biosynthesis would preserve arterial function in obese mice. Six-week-old male mice with intact Sptlc2 (wild-type; WT) and EC specific deletion of Sptlc2 (iecSptlc2KO mice) consumed either standard (CON) or high fat diet (HFD) for 14 weeks. qPCR results indicated Sptlc2 was knocked down > 80% in ECs but not media and adventitia from iecSptlc2KO vs. WT mice. In general, results were similar between WT and iecSptlc2KO mice concerning glucose, insulin, and pyruvate tolerance tests (indicating intact glucose homeostasis) and lean mass, fat mass, and fluid mass (indicating body composition was unaltered). Of note, intraluminal flow-mediated vasodilation was greater in femoral arteries from iecSptlc2KO vs. WT mice that consumed high-fat chow. Preventing ceramide biosynthesis specifically in ECs from mice that consume an obesogenic diet might be vasculoprotective.

Kunzelman, Jacqueline; Gabor, Rachel; Scrobotovici, Monica; Blades, Natalie; Longstreth, WT; Heckbert, Susan; Psaty, Bruce; Arnold, Alice; Fitzpatrick, Annette; Llewellyn, David; Kuzma, Elzbieta; Kamel, Hooman; Dhamoon, Mandip; Chaudhry, Sarwat; Dodson, John; Hedges, Dawson; Gale, Shawn; Erickson, Lance; Brown, Bruce; Thacker, Evan (Brigham Young University)
Faculty Advisor: Thacker, Evan (Life Sciences, Public Health)

OBJECTIVE: We investigated two hypotheses: First, incident CHD, defined as myocardial infarction or definite angina, leads to faster long-term cognitive decline. Second, among those with CHD, treatment with CABG surgery or PCI leads to slower long-term cognitive decline.
METHODS: The Cardiovascular Health Study is a cohort of US adults aged 65+. Global cognitive ability was assessed annually up to 9 times from 1990 to 1998 with the 100-point Modified Mini-Mental State Examination (3MS). We estimated trajectories of 3MS scores in the absence of stroke, adjusting for demographics, health behaviors, and comorbidities. For hypothesis 1, we compared 3MS trajectory after incident CHD with 3MS trajectory in the absence of CHD, censoring at first receipt of CABG/PCI. For hypothesis 2, among participants with CHD, we compared 3MS trajectory after first receipt of CABG/PCI with 3MS trajectory without CABG/PCI.
RESULTS: For hypothesis 1, of 4,122 participants, 398 had incident CHD during a mean of 5.9 years of follow-up. Model-predicted 3MS score declined faster after incident CHD, especially for CHD diagnosed at age 80 or later. For example, after incident CHD at age 85, predicted 5-year decline in mean 3MS score through age 90 was 13.9 points (95% CI: 11.0, 16.7) versus 8.9 points (95% CI: 8.1, 9.7) among those without CHD. For hypothesis 2, of 1,183 participants who had prevalent or incident CHD, 118 had their first CABG/PCI during a mean of 4.1 years of follow-up. Model-predicted 3MS score declined faster after first receipt of CABG/PCI.
CONCLUSIONS: Older adults diagnosed with incident CHD had faster average cognitive decline than those without CHD. However, treatment with CABG/PCI did not slow cognitive decline among those with CHD. This finding may be due to adverse effects of CABG/PCI on brain health or CABG/PCI recipients having more severe CHD or more cerebral atherosclerosis.

Winters, Blaine; Dustin, Tracy; Escobar, Jeana; Ostlund, Megan (Brigham Young University)
Faculty Advisor: Blaine, Winters (Brigham Young University, Biology)

Background:
Evaluation of patients who have fallen varies significantly between nurses as well as health care facilities. In many cases, injuries go unrecognized or their identification is delayed due to poor or incomplete assessments and follow-up.

Purpose:
The purpose of this project was to design a standardized post-fall assessment for geriatric patients residing in long-term care and community settings.

Methods:
A literature review revealed that in the past 10 years, very few studies were conducted on post-fall assessments, and the majority of these studies were conducted outside of the United States. Due to the lack of current literature on the subject, the Advanced Trauma Life Support algorithm was used as a framework for the development of the post-fall assessment.

Outcomes:
A post-fall assessment evaluation was developed which includes the production of a standardized post-fall assessment flowchart, accompanied by a documentation guide. A training video was also produced to illustrate the use of the assessment tools and to allow nurses to practice their new skills.

Implications for Practice:
The standardized post-fall assessment tools will lead to more thorough evaluation and follow-up of patients who have fallen in long-term care or the community setting. This will lead to more rapid treatment of identified injuries as well as fewer missed injuries.

Teaching Methods:
Participants will receive training on the post-fall evaluation method, how it was developed and how it will be implemented.

DeNiro, Adara; Cao, Erhu; Wang, Qinzhe; Wang, Jinliang (University of Utah)
Faculty Advisor: Cao, Erhu (University of Utah, School of Medicine)

The kidneys are responsible for several essential bodily functions critical to our survival. These include filtering blood and excreting metabolic waste into urine. Two proteins, polycystin-1 and polycystin-2, interact in renal tubules and promote the normal development and function of the kidneys. However, the proteins' actions are not well understood. Polycystin-1 and Polycystin-2 are encoded by the PKD1 gene and the PKD2 gene respectively. A mutation in either of these genes can lead to Autosomal Dominant Polycystic Kidney Disease (ADPKD), a common inherited disease leading to progressive renal failure. Several extrarenal manifestations occur as a result of ADPKD including hepatic cysts and intracranial aneurysms. Ultimately, ADPKD often leads to end-stage renal disease that requires dialysis or transplantation. Currently, there is no cure for ADPKD due to setbacks regarding structural determination of the Polycystic Kidney Disease Proteins. Some setbacks are the inability to view the regulatory cytosolic domains of the PKD1/PKD2 channel in atomic detail and understand the function(s) of the polycystic kidney disease proteins. My project examines the ability of Fabs and nanobodies to bind to the PKD2 channel and the PKD1/2 complex as this potentially facilitates structural determination. This is done by stabilizing cytosolic domains and/or promoting a more uniform orientation distribution of these proteins essential for imaging by cryo-electron microscopy.

Hildt, Alyssa; Anderson, Abby; Miles, Leslie; Valentine, Julie (Brigham Young University)
Faculty Advisor: Miles, Leslie (Brigham young University, Nursing); Valentine, Julie (Brigham Young University, Nursing)

Purpose: To describe characteristics that impacted sexual assault (SA) patients' reports of pain and subsequent pain treatment.
Research Question(s) / hypotheses: 1. What percentage of SA patients complaining of pain received any treatment? 2. What associations exist between SA variables and reports of pain and pain treatment?
Methodology: Retrospective chart review (n=1,652) of SA examinations (2017-2018) was conducted in several counties in Utah, representing 80% of the state. 241 variables were entered into SPSS. Approximately 64% of SA cases reported pain. Descriptive statistical analysis of SA patients reporting pain was conducted on the following variables: pain location, pain severity, gender, race, age, relationship to suspect, pre-existing medical conditions, pre-existing mental illness, suspect actions, time between assault and exam, physical injuries, anogenital injuries, and pain treatment (pharmacological and non-pharmacological).
Findings: On a scale of zero to ten, reported pain mean level 5.68 with a median of six. Eight percent of patients who reported pain did not have a documented pain level, signifying an incomplete pain assessment. Three most common pain locations were the genitals (40%), abdomen/pelvis (31%), and head (24%). Those with mental illness, medical problems, or reported history of SA prior to age 14, were more likely to report pain. Despite the prevalence of pain amongst SA patients, a large majority (78%) received no documented pain treatment. However, some patients received the following: 16% NSAIDs or Tylenol; 5% narcotics; and only 0.1% received non-pharmacological treatment.
Implications: All SA patients should be assessed and treated for pain. SA examination forms should include treatment type, including treatment provided by the emergency department. Nurses should take the lead in advocating for pain treatment in SA patients.
Conclusion: This is the largest study of SA patients' pain assessment and treatment and helps create a comprehensive picture to understand patient and variables that impact pain.

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.