Architecture

Authors: Peter Seely, Joseph Henderson, Benjamin Webb. Mentors: Benjamin Webb. Insitution: Brigham Young University. A longstanding result in spectral graph theory is that some of the eigenvalues of a network can be obtained by identifying equitable partitions within the graph's structure. We have discovered that the remaining eigenvalues can be recovered using theoretical constructs which we call Local Equitable Partitions (LEPs). We have developed a procedure to find LEPs in a way that allows us to efficiently compute a graph's spectrum using this theory. Our procedure finds LEPs by identifying patterns in the coarsest equitable partition of a graph. We utilize these LEPs in a novel algorithm for computing the spectrum of a graph. Under certain mild assumptions on the equitable partition, we can find eigenvalues of a graph faster using this method when compared to the standard method. This is potentially useful as many real-world data sets have nontrivial equitable partitions.

Authors: Benjamin D Kearsley, Jacob H Norby, Micah R Shepherd, R Ryley Parrish. Mentors: Micah R Shepherd. Insitution: Brigham Young University. Status epilepticus (SE) is a seizure which lasts more than five minutes and requires time sensitive treatment to prevent brain damage and even death. Thus, it is crucial to understand and predict the brain signal patterns preempting SE. Previous research into seizure monitoring techniques in humans suggests that seizure occurrence follows non-random patterns, and that big data and machine learning may be key in discovering detection and prediction models for SE events. This provides a promising foundation for our investigation into a prediction algorithm for SE using data-driven methods.Using a state-of-the-art Multiple Electrode Array (MEA) recording device, high-resolution signals have been recorded that demonstrate the voltage that occurs within mice brain cells during SE. In this study, voltage traces from these brain cells are being examined to identify predictors and indicators of SE events in the brain. Signal processing techniques, such as digital filtering, spectral analysis via spectrograms, and wavelet transforms, are being investigated to analyze these signals and compare them to brain signals exhibiting normal activity. Statistical methods surrounding the first through fourth moments, as well as clustering algorithms may also be used to classify and study the signals.

Authors: Laureana Lazarte, Adam Hales. Mentors: yu ya liang. Insitution: Utah Valley University. Plant Viruses pose a serious threat to the agricultural industry worldwide, infecting members of the brassica genus, including cabbage, broccoli, and cauliflower. This particular virus is transmitted via the cabbage aphid, which poses a serious problem, as these are extremely common in croplands worldwide (Clafin et al., 2017). The motivation of this project is to expose a variety of Brassica species to a novel DNA virus, which is a putative geminivirus and has recently been discovered in Utah. Then, plants that show signs of disease resistance after being infected with the virus will be identified. Following infection, genetic information from all Brassica species will be obtained and then analyzed to identify possible sources that promote disease resistance. A diverse array of mustard seeds will also be requested from the USDA National Plant Germplasm System. The methods of this study will involve growing a wide variety of plants within the Brassica genus for six to eight weeks in a greenhouse setting, and exposing them to the virus. The plants will then be analyzed on the basis of severity of infection via visible observations using a zero through ten scale that will be developed. DNA from the plants will be extracted and the genomes will then be sequenced. Combining the genome information and disease susceptibility, a Genome-Wide Association Study (GWAS) will be used to look for possible genetic information that could promote disease resistance. The outcomes of this study may also be used for disease resistance breeding.

Authors: Joseph Henderson, Peter Seely, Benjamin Webb. Insitution: Brigham Young University. A classical result in spectral graph theory states that if a graph has an equitable partition then the eigenvalues of the associated divisor graph are a subset of the original graph’s eigenvalues. A natural question is whether it is possible to recover the remaining eigenvalues of the graph using this method of creating divisor graphs. We show that any weighted undirected graph can be decomposed into a number of subgraphs each with a nontrivial equitable partition whose collective spectra contain the remaining eigenvalues. We call these constructs Local Equitable Partitions (LEPs). We have developed an algorithm that leverages this result to compute LEPs and calculate the remaining eigenvalues of the original graph from them. This is potentially useful as many real-world data sets have a nontrivial equitable partition. To show the potential performance advantage of our algorithm over traditional methods, we present an ideal graph for which our algorithm performs optimally. Using a speed test, we demonstrate the improved temporal complexity of our method on the ideal graph.

Authors: Aullora Fekete. Mentors: Karen Jensen. Insitution: Brigham Young University. Implementation of culturally relevant teaching in universities and public schools has increased, but private studios, outnumbering both higher education and public school dance programs, are not keeping pace. Business owners are caught between competing demands making it difficult to invest in professional development programs for their instructors(Risner 2010). This perpetuates implicit bias teaching as instructors fall back on how they were taught in studios based in eurocentered evaluation and ideals furthering the divide for who has accessibility to dance and which dance forms are taught.The following research addresses possible ways private studios can have more access to and receive training for more culturally relevant teaching. Conversation explores how studio vision and clientele demands can be taken into account to create a more inclusive dance culture and the types of training resources already offered along with how they might be implemented. By having an inclusive approach, studio dancers also continue the culturally relevant teaching they received as future dance educators to contribute to a greater dance culture of uplifting and including the marginalized. Citation:Doug Risner Ph.D. M. F. A. (2010) Dance Education Matters: Rebuilding Postsecondary DanceEducation for Twenty-First Century Relevance and Resonance, Journal of Dance Education, 10:4, 95-110, DOI:10.1080/15290824.2010.529761

Authors: Diya Garg, Chadi Hage Chehade, Yeonjung Jo, Georges Gebrael, Nishita Tripathi, Beverly Chigarira, Arshit Narang, Vinay Matthew Thomas, Gliceida Galarza Fortuna, Patrick Campbell, Clara Tandar, Ayana Srivastava, Nicolas Sayegh, Sumati Gupta, Benjamin L. Maughan, Soumyajit Roy, Neeraj Agarwal, Umang Swami. Mentors: Neeraj Agarwal. Insitution: University of Utah. Trends in tumor NGS genomic testing at diagnosis of metastatic prostate cancer (mPC) and urothelial carcinoma (mUC) Diya Garg1, Chadi Hage Chehade1, Yeonjung Jo1, Georges Gebrael1, Nishita Tripathi1, Beverly Chigarira1, Arshit Narang1, Vinay Matthew Thomas1, Gliceida Galarza Fortuna1, Patrick Campbell1, Clara Tandar1, Ayana Srivastava1, Nicolas Sayegh1, Sumati Gupta1, Benjamin L. Maughan1, Soumyajit Roy1, Neeraj Agarwal1, Umang Swami1 1Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT; Objectives: Next-generation sequencing (NGS) can allow receipt of approved targeted therapies and recruitment into clinical trials and aid with prognostication and response to therapy. In mPC, the presence of homologous recombination repair (HRR) alterations can render patients (pts) eligible for PARP inhibitor therapies [PMID: 37442702]. In mUC, genomic alterations in FGFR3 or FGFR2 can make them eligible for erdafitinib [PMID: 31340094]. Multiple agents have tumor agnostic approvals for molecular specific alterations. Herein, we aim to analyze the current trends in NGS testing in both mPC and mUC. Methods: A de-identified nationwide Flatiron Health Electronic Health Record (EHR)-derived database was used to extract pt-level data. Eligibility: pts diagnosed with mPC or mUC and receiving treatment for their disease between March 2015 and December 2022. The NGS test was considered performed at diagnosis if completed within a year of the initial metastatic disease diagnosis. A two-sided 95% confidence interval (CI) was calculated using Clopper and Pearson method. The analysis was done using R version 4.2.3. Results: The study included 11,936 and 6,340 pts in the mPC and mUC cohorts, respectively. For mPC, the rate of NGS testing among men in 2015 was only 1.3% (95% CI 0.7-2.1%). This rate steadily increased, plateauing between 2021 and 2022 at 28% (95% CI 25.8-30.3%) and 27.1% (95% CI 24.5-29.8%), respectively. NGS testing was mainly performed on samples from primary prostate tissue (46.1%), followed by blood (32.8%) and saliva (0.1%) or from any of these 3 sites (2.9%). In the mUC cohort, the rate of testing among pts in 2015 was 6.7% (95% CI 4.8-8.9%). However, by 2021 and 2022, the rates had improved, reaching 46.8% (95% CI 43.5 – 50.2%) and 46.5% (95% CI 42.5-50.5%), respectively. Samples for NGS testing were mainly obtained from primary bladder tissue (72.8%), followed by blood (15.6%), or from both sites (0.2%). The sample source for testing was unknown in 18.1% and 11.4% of cases in mPC and mUC, respectively. Conclusions: In this large real-world analysis, we show that while the rate of NGS testing has improved over time, the majority of pts do not undergo NGS testing in both mPC and mUC cohorts. Addressing barriers to NGS testing remains an unmet need. Incorporating tumor genomic testing into the standard of care management can optimize treatment selection, prognostication, and access to clinical trials.

Authors: Chad Hyer, Bradley Bundy, Tyler Free. Mentors: Bradley Bundy. Insitution: Brigham Young University. Current trends in healthcare suggest a movement towards point of care treatment and diagnosis. This transition towards local or even at-home testing necessitates dramatic decreases in costs of diagnostic methods. Cell-free protein synthesis (CFPS) systems prove a potential tool for bringing diagnostic solutions to patients by providing patients with inexpensive, easy to use, and accurate tests that can be stored for long periods of time at ambient temperature. These CFPS diagnostic methods rely on the production of biosensor proteins using isolated molecular machinery from bacterial cell lysates and necessary substrates. When combined with human body fluids, these biosensors can detect the presence of important biomarkers of disease, aiding in diagnosis.CFPS systems, however, can prove difficult to use with human body fluids as CFPS systems rely on mRNA directed production of proteins, and human samples contain significant concentrations of RNAses which inhibit the production of biosensor proteins, preventing proper test results. Traditionally, this issue can be remedied in a CFPS system using commercially sourced RNAse inhibitors, but these inhibitors dramatically increase prices. Here we report on our production of RNAse inhibitors within a CFPS system to decrease costs of CFPS diagnostics by 90%. In our work, we report on the optimization of reaction conditions for producing RNAse inhibitors within a CFPS glutamine biosensor for use as a cancer treatment monitoring diagnostic. Using our methods, we expect to be able to dramatically reduce the cost of CFPS based diagnostic tools, helping empower the shift to affordable point of care healthcare.

Authors: Eliza Ballantyne, Maria Lizio, Anshuman Chaturvedi. Mentors: Dustin Shipp. Insitution: Utah Valley University. We evaluate techniques for enhancing performance of Raman based classifiers of lung cancer and compare them to results from immunohistochemistry and hematoxylin and eosin (H&E) staining for fixed samples. In the United States, more patients die from lung cancer than from any other type, although it ranks as the third most common cancer. For patients with lung cancer, preserving the healthy bronchioles where cancer usually forms is vital to continued lung function. Raman spectroscopy is already a valuable asset in distinguishing between healthy tissue and many types of cancer and decreases discrepancies between diagnosis, saving medical resources and improving patient outcome. Lung cancer is especially challenging for Raman spectroscopy, in part because tar fluorescence often overpowers critical chemical features. We introduce measurement and classification approaches as the first step to overcome this challenge and create reliable Raman based classifiers for lung cancer. By working with fixed tissue sections, we avoid tar fluorescence and demonstrate the ability to detect tumors and premalignant abnormalities in lung tissue. These samples allow collaboration between adjacent sections in both H&E staining and immunohistochemistry. Furthermore, additional measurements of fixed sections can be acquired at any time. These advantages provide flexibility to acquire more detailed training sets, include more detail of any borderline cases, and compare Raman spectroscopy to more specialized histopathological techniques.

Authors: Caroline Torgersen, Tyler O'Loughlin, Ellie Evans, Vern Hart, Clint Flinders. Mentors: Vern Hart. Insitution: Utah Valley University. Stage-IV cancers are commonly identified by tumors having metastasized to other parts of the body. However, studies have shown that cancerous tissues often release “seeds” of circulating tumor clusters (CTCs) into the cardiovascular and lymphatic systems long before metastasized sections of the tumor are identifiable. These CTCs can circulate or remain dormant for long periods of time, even after the lesion is excised. In addition, these structures exist on scales that are not currently identifiable using conventional imaging modalities and are only detectable after being isolated. To address this issue, we demonstrate a simple optical diffraction system utilizing visible laser light and a beam profiler to collect speckle images from polystyrene microbeads (mimicking CTCs) flowing through an IV tube (mimicking a vein or artery). These scattering images were used to train a convolutional neural network, which was able to distinguish bead sizes ranging from 30 to 120 microns (comparable to the diameter of CTCs). A Softmax classifier was included with multiple target categories corresponding to different clusters sizes. As blood cells are significantly smaller (5-20 microns), this system could be used to non-invasively identify the presence of larger scatterers in a blood stream in situ, indicating the presence of CTCs, and providing a potential diagnostic biomarker for early-stage cancer.If a oral presentation is not available we would still love to present a poster.

Authors: Richard Ji, Emre Dal, Ayana Srivastava, Beverly Chigarira, Chadi Hage Chehade, Arshit Narang, Georges Gebrael, Neeraj Agarwal, Umang Swami, Haoran Li. Mentors: Neeraj Agarwal. Insitution: University of Utah. Comparative effectiveness of ChatGPT 4.0 and medical oncologists in telemedicine-based management of metastatic prostate carcinoma (mPC).Richard Ji1, Emre Dal1, Ayana Srivastava1, Beverly Chigarira1, Chadi Hage Chehade1, Arshit Narang1, Georges Gebrael1, Neeraj Agarwal1, Umang Swami1, Haoran Li21Huntsman Cancer Institute at the University of Utah, Salt Lake City, UT;2University of Kansas Cancer Center, Westwood, KSBackground: The advent of telemedicine, accentuated during the COVID-19 pandemic, offers a prospective modality, especially when synergized with artificial intelligence (AI) tools such as ChatGPT 4.0. In this investigation, we sought to investigate the proficiency of ChatGPT vs. medical oncologists in the telemedicine-centric management of mPC.Methods: This IRB-approved retrospective study compared the competencies of ChatGPT and oncologists in conducting telemedicine consultations for patients with mPC. Out of 975 patients screened between April 1, 2022, and March 30, 2023, 102 met the inclusion criteria of having a diagnosis of mPC, attending at least one telemedicine consultation during the specified period, and having documentation available for two consecutive visits to enable the analysis of treatment decisions and outcomes. ChatGPT was asked to pre-chart and determine if a face-to-face consultation is needed. Its clinical competence was assessed using miniCEX, and medical decision-making (MDM). The Cohen's kappa test was used to measure the level of agreement between ChatGPT and oncologists in treatment decisions, and the Mann-Whitney U test was used to compare miniCEX and MDM.Results: The majority of patients were White (97.06%), with a median age of 75 years (range:53 to 99). Nearly all patients were diagnosed with adenocarcinoma (96.08%), with a median Gleason score of 7 (range: 6 to 10). The prevalent metastatic sites were bone (47.4%) and lymph nodes (44.16%). 26.88% had an ECOG score of 0, 54.84% had a score of 1, and 18.28% had a score greater than 1. Common coexisting conditions included diabetes mellitus (11.11%), hypertension (29.82%), hyperlipidemia (24.56%), and depression (7.6%). The primary outcome measured the concordance between ChatGPT and oncologists on whether to continue or cease the current treatment There was a statistical significance in sensitivity and specificity between clinicians and ChatGPT (Chi-squared=5.1, p=0.02). Cohen's Kappa showed a moderate concordance (Kappa = 0.43, p<0.001). There was no difference in the number of diagnoses made by the two parties (p=0.13 and 0.06, respectively). ChatGPT's median miniCEX score was 8 (SD=0.59), and its median MDM length was 41 words (SD=6.06). The average time saved by ChatGPT in pre-charting was 41 minutes (SD=6).Conclusions: ChatGPT showed moderate concordance with oncologists for the management of mPC in telemedicine. Subsequent investigations are needed to explore its potential in healthcare.

Authors: Mallory Hinton, Matthew Madsen, Raechel Hunsaker, April Hulet. Mentors: April Hulet. Insitution: Brigham Young University. Seeding plants post disturbance on rangelands is a challenge due to unique ecological and environmental conditions such as limited water availability, invasive species, soil health, and native seed supply. One of the key factors to address these challenges and have a successful seedings is understanding the relationships between soil characteristics and the plants that grow within them. Our research evaluated plant growth for seventeen grass species in two degraded rangeland soils (a mine tailings impoundment and Santaquin Wildlife Management Area) in Utah. Grasses (10 PLS/5cm 2 pot) were grown in self-watering growth trays in a complete, randomized block design with four replicates per soil type. After 21 days in the greenhouse, plant densities and aboveground biomass were collected and analyzed. Soils differed in mineral content. Iron and nitrogen were 5- and 4-fold greater in Tailings than Santaquin soil; phosphorus, magnesium, and organic matter were 5.5-, 4-, and 18-folds lower in Tailings than Santaquin soil. The average density of plants was significantly different (p < 0.0001) between the two soil types; in the Santaquin soil plant density was 5.73 plants/pot, in Tailings soil plant density was 2.20 plants/pot. No individual grass species were significantly different from each other in the Tailings soil (p = 0.51). However, individual grass species were significantly different from one another in the Santaquin soil (p = 0.05). Both Tailings and Santaquin soil types had the highest densities of slender wheatgrass (Elymus trachycaulus; 4.75 plants/pot and 8.25 plants/pot, respectively) and tall wheatgrass (Thinopyrum ponticum; 4.75 plants/pot and 10.25 plants/pot, respectively). Sandbergs bluegrass (Poa secunda) had the lowest density in both soil types (zero plants in Tailings soil and 2.50 plants/pot in Santaquin soil). To make informed decisions when selecting plant species for seed mixes, soil characteristics should be considered.

Authors: Allison Gabbitas, Kaitlyn Allen, Gene Ahlborn, Shintaro Pang. Mentors: Shintaro Pang. Insitution: Brigham Young University. Mycotoxin contamination on food and feed can have deleterious effect on human and animal health. Agricultural crops may contain one or more mycotoxin compounds; therefore, a good multiplex detection method is desirable to ensure food safety. In this study, we developed a rapid method using label-free surface-enhanced Raman spectroscopy (SERS) to simultaneously detect three common types of mycotoxins found on corn, namely aflatoxin B1 (AFB1), zearalenone (ZEN), and ochratoxin A (OTA). The intrinsic chemical fingerprint from each mycotoxin was characterized by their unique Raman spectra, enabling clear discrimination between them. The limit of detection (LOD) of AFB1, ZEN, and OTA on corn were 10 ppb (32 nM), 20 ppb (64 nM), and 100 ppb (248 nM), respectively. Multivariate statistical analysis was used to predict concentrations of AFB1, ZEN, and OTA up to 1.5 ppm (4.8 µM) based on the SERS spectra of known concentrations, resulting in a correlation coefficient of 0.74, 0.89, and 0.72, respectively. The sampling time was less than 30 min per sample. The application of label-free SERS and multivariate analysis is a promising method for rapid and simultaneous detection of mycotoxins in corn and may be extended to other types of mycotoxins and crops.

Authors: Raechel Hunsaker, Matthew Madsen, Mallory Hinton, Derek Tilley, April Hulet. Mentors: April Hulet. Insitution: Brigham Young University. Many early successional plant species have been considered weeds because of their lack of forage value for livestock. However, early successional plant species have the potential to aid rangeland restoration by providing food sources for pollinators, modifying soil in preparation for climax plant communities, and competing against invasive species. To determine which early colonizing species have the greatest restoration potential, interspecific competitive interactions should be evaluated. Our research objective was to evaluate the competitive abilities of two native pioneer forb species, curlycup gumweed (Grindelia squarrosa) and prairie aster (Machaeranthera tanacetifolia), against three common rangeland grasses including 1) native early successional species, bottlebrush squirreltail (Elymus elymoides), 2) invasive colonizing species, cheatgrass (Bromus tectorum), and 3) climax community species, bluebunch wheatgrass (Pseudoroegneria spicata). Treatments included each of the three grass species seeded at high and low densities with curlycup gumweed or prairie aster in two soils (mine tailings and disturbed rangeland) in a greenhouse. After being cultivated for 54 days, above-ground biomass for both forbs were not significantly different when seeded alone, or with high and low densities of grasses in the mine tailings soil (p ≥ 0.05). However, in soil from the disturbed rangeland, forb biomass differed. When planted alone, curlycup gumweed and prairie aster biomass was on average 2.5- and 3-fold greater than when planted with high and low densities of squirreltail and cheatgrass (p ≤ 0.05). Both forbs had significantly lower biomass when planted with a high density of bluebunch (p ≤ 0.05), however, when planted with a low density of bluebunch, biomass was not significantly different than when planted alone (p ≥ 0.05). Results indicate that high densities of squirreltail, cheatgrass, and bluebunch inhibit curlycup gumweed and prairie aster growth on disturbed rangeland soil, and that interspecific competition may be a barrier to the successful establishment of early successional forbs.

Authors: Reganne Leigh Hales, Laura Sutherland, Melissa Sanchez Herrera, Samantha Standring. Mentors: Seth Bybee. Insitution: Brigham Young University. We explore the phylogeny of Hetaeriinae using a targeted enrichment approach (AHE) on gDNA gathered largely from museums. AHE resulted in 20KB (18.5KB of nuclear and 1.5 of mitochondrial DNA) for each taxon. Previous research, based on sanger data generated from three genes, demonstrated that Hetaerina Hagen in Selys, 1853 is not monophyletic but no taxonomic changes were proposed due to the hope of one day having more data. Our goal for this research was to have a larger dataset to test the monophyly of Hetaerina and update the classification. Our results confirm those of the most recent phylogeny of Hetaerina: the genus is non-monophyletic. We recover Mnesarete Cowley 1934 and Ormenophlebia Garrison 2006 within Hetaerina. We have preliminary data (results not shown) demonstrating that both Iridictyon Needham & Fisher 1940 and Bryoplathanon Garrison 2006 are also within Hetaerina. However, due the placement of these genera there is not a clear way to retain these genera and it is likely they will need to be placed within Hetearina due to priority. We further explore the evolution of some characters associated with habitat preference.

Authors: Lauren Ford, Joel Woolley, Ryan Powers, Paulina Medellin, Hillary Wadsworth, Jordan Yorgason. Mentors: Jordan Yorgason. Insitution: Brigham Young University. Women prescribed psychostimulants have self-reported changes in drug efficacy that coincide with menstrual cycling. Furthermore, cocaine and amphetamine effects on dopamine (DA) transmission are more potent in female rodents, an effect that has been linked to cycling hormone levels. However, it is unknown if changes to DA transmission vary by specific psychostimulant, and striatal DA transmission has not yet been well characterized across the estrous cycle. The present study considers dopamine release and reuptake kinetics across various stages of the estrous cycle in the nucleus accumbens (NAc), a key region for dopamine-mediated learning. The effects of cocaine, methamphetamine, and methylphenidate on female dopamine transmission are examined using slice voltammetry. Our data shows that compared to a male control group, baseline (pre-drug) dopamine release in the NAc was lower in females overall, but not at all estrous stages. Applying increasing concentrations of cocaine or methylphenidate revealed similar patterns of enhanced, then diminished release in all mice. Methamphetamine decreased NAc dopamine release similarly in both males and females, but females in estrus were more affected than males, and those in met/diestrus less. Methamphetamine also slowed dopamine uptake in all mice, and at lower concentrations than cocaine or methylphenidate. We find minimal sex differences between cocaine and methylphenidate effects in the NAc, suggesting that the underlying cause of their observed behavioral sex differences may be specific to other striatal regions. On the other hand, methamphetamine-induced DA release fluctuates distinctly with the estrous cycle and peaks when estrogen levels are at their highest, indicating that estrogen and methamphetamine mechanisms share a target in NAc DA terminals that cocaine and methylphenidate do not. This work refines our understanding of DA transmission in females and indicates potential future directions for understanding female psychostimulant abuse.

Authors: Brandon Ascione. Mentors: Katie Paxman. Insitution: Brigham Young University. T 1.4.1 contains what appears to be a skeptical regressive argument that ultimately leads to a complete loss of belief. Yet, Hume claims that neither he nor anyone else is compelled by this argument because like breathing, it is the nature of humans to form beliefs. Thus, it becomes challenging to understand why anyone would engage in such a skeptical thought process from the start. Drawing on Peter Millican’s critique of this iterating skepticism and Donald Ainslie’s interpretive work on T 1.4.1, it becomes clear that there is disagreement over what Hume’s intended purposes for T 1.4.1 might be. This paper argues that T 1.4.1 is an account of the psychology of a particular kind of skeptical disposition. Hume’s work on the passions can account and explain the psychology of the skeptic with this skeptical disposition. By taking a more holistic analysis of passages from Books 1 and 2 of the Treatise and citing Margaret Watkins’ conception of delicacy of passion, a compelling case is made that Hume’s own skeptical crisis from T 1.4.7 was motivated by such a skeptical disposition that was driven by the passion of fear.

Authors: Maddie Reese, Meg Boren, Emma Sellers, Sheri Tesseyman. Mentors: Sheri Tesseyman. Insitution: Brigham Young University. Maddie Reese, Meg Boren, Emma Sellers, Sheri Tesseyman “Utah Women in Medicine,” pioneering physicians Introduction Utah leaders made efforts to promote female physicians early in its establishment. In a newly flourishing territory, men needed to work the land, hence the push for women to become physicians. The purpose of this research was to understand the significance of Utah women in medicine and their role in shaping the development of nursing practice. Methods This study draws on secondary material about women physicians in early Utah, American medical and nursing education, Utah history, and nursing and healthcare among Latter-Day Saint women. The results of the study are based on historical analysis of primary materials including 19th-century periodicals published in Utah including the Women’s Exponent and the Relief Society Magazine, personal papers, and memoirs. Outcomes and implications The pioneering contributions of early Utah women in medicine, including Romania B. Pratt Penrose and Ellis Reynolds Shipp, had profound implications. They established medical practices and educational programs, training numerous women in nursing and midwifery. Their work contributed to elevating the status of medicine and midwifery in Utah. Moreover, their collaboration resulted in the creation of the groundbreaking "Deseret Hospital" in 1882, accommodating patients and serving as a training center for midwives and nurses. Their enduring legacy lies in their commitment to education, innovation, and compassionate care, shaping the healthcare landscape in Utah.

Authors: Gaby Sutton Clark, Emily Santillán, Katreena Merrill. Mentors: Katreena Merrill. Insitution: Brigham Young University. Background: In the United States, an estimated 1 in 36 children has autism spectrum disorder (ASD). While public knowledge of people with ASD has been increasing, many areas of society still need to improve to accommodate people with ASD. People with ASD have high healthcare utilization rates but often experience challenges receiving adequate care, leading to gaps in patient care, increased emergency room visits, and hospital admissions. Adjustments to primary care for patients with ASD are essential to decreasing these concerning trends. Thus, ambulatory care providers have a key role in these improvements. This project will, therefore, focus on improving the self-efficacy of ambulatory care nurse practitioners in the state of Utah in caring for patients with ASD. The purpose of this project is to develop an evidence-based educational video on how to identify and make accommodations to facilitate the care of patients with ASD and evaluate the effectiveness of the video.Methods: The project team includes graduate student Emily Santillan, faculty chair Dr. Katreena Merrill, committee members Dr. Terisa Gabrielson and Dr. Petr Ruda, and undergraduate student Gabby Sutton. The team consulted together and developed an evidence-based script for an educational video. Based on the script and working with the team, the video will be produced by BYU Media Services. Once the video is produced, the team will embed it into a Qualtrics survey that includes pre- and post-intervention surveys. The pre-survey will include basic demographic questions and the “AASPIRE Adult Autism Provider Self-Efficacy Scale” to measure provider self-efficacy in caring for patients with Autism. The post-survey will include the same self-efficacy scale to measure any changes, as well as feedback questions on the video itself. The results and feedback will be used in a future project to disseminate the video further.Results: This project is still in process, and no results have been obtained.Implications for Nursing: Nurses in every specialty will encounter Autistic patients. Being familiar with strategies to improve their nurse-patient interactions will help nurses deliver excellent care to potentially vulnerable patients.Conclusion: While the project has not been completed, we plan on using the results to improve the educational video and pursue more widespread implementation.