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2024 Abstracts

Implicit Bias: Impacts of a Transformative DEIB Business Course

Authors: Ramon Zabriskie, Erica Miller, Felicia Korth, Anna Taylor. Mentors: Ramon Zabriskie. Insitution: Brigham Young University. Implicit bias occurs automatically and unintentionally based on a person’s lifetime experience and cultural history (National Institutes of Health, 2022; Handelsman & Sakraney, 2015). In this study, implicit bias is evaluated through the lens of a transformative diversity, equity, inclusion, and belonging business course. DEIB originated in the 1960s in response to equal employment and affirmative action laws (Sarrett, 2022). Studies show that Millennials and Gen Z generations are the most diverse populations ever in the United States (Stamps & Foley, 2023). Benefits of DEIB include the creation of a more unified, diverse, and successful workplace, less biases in hiring, team development, promotions, and who companies do business with (El-Amin, 2022). This study’s theoretical framework is based on the transformative learning theory which seeks to understand and promote human development through learning. Transformation is more than "knowing more" through time; when a learner is transformed by education they undergo a shift in perspective, and after that shift, they cannot go back to see the world the way they once did, at least in some small way (Wichita State University). The class was designed with experiential learning approaches and introduces a variety of DEIB concepts such as privilege, unconscious bias, assumptions, and intersectionality. Students interacted with a variety of experiential components such as DEIB events, panels, and interviews which addressed various minority groups. At the beginning of the DEIB course, students completed an IAT test focused on racial bias. The IAT test is known as the Implicit Association Test that uses positive and negative connotative words in association with pictures of minority groups to measure automatic reactions targeting an individual's level of implicit bias towards one minority group versus another. After students completed the racial IAT test, scores were recorded representing the level of implicit racial bias students held towards white people vs. black people. At the conclusion of the 14-week-long course, students completed the same IAT test on racial bias. Scores were recorded once again, comparative with previous IAT scores, to evaluate whether the amount of racial implicit bias had changed as a result of participating in the DEIB course and its curriculum. Data was then analyzed visually comparing the means from the pre to post test results. The data was analyzed using this method because the sample size was not large enough to return what the researchers considered to be reliable results. More data is available for this study, but has not been cleaned and matched, this process is currently taking place. Once the data is available, the researchers will use paired sample T-tests to conduct a full analysis. Additionally, descriptive analysis will be represented in the form of histograms of pre and post test scores observing the progression towards less implicit bias. The mean for the pre-test was .78 (sdv=1.34, n=171) and the post-test was .63 (std=1.38, n=144). Our sample size was 181 participants with 25 that chose not to answer. Demographics of participants consisted of 66% Caucasian, 3% Hispanic, 2% Asian, 2% Native Hawaiian, 1% other, and 26% who chose not to respond. The average age of participants was 21. Gender of participants consisted of 121 females and 34 males. Visual examinations of the means suggest there was migration toward 0, which would represent little to no bias and the class was making a difference in participants’ implicit bias scores. This study underscores the utility of DEIB instruction in promoting changes in bias. The impact of changes in implicit bias through this learning coupled with DEIB principles in a transformative way will greatly influence the workforce for generations to come.

Improved low-cost, solar water purifier to reduce clean water scarcity

Authors: Fatoumata N'diaye, Kevin Shurtleff. Mentors: Kevin Shurtleff. Insitution: Utah Valley University. The use of solar energy for water purification purposes has proven to be an efficient tool with promising results which could help tackle the issue of water scarcity in developing regions of the world. The low-cost, solar water purification system built previously will be improved through increasing thermal conduction, enhancement of the water flow uniformity, strengthening of the piping system, increasing airflow inside the water purification system, and thus maximizing the clean water production rate. We used aluminum foil as the condensation surface with silicone caulk as a binding agent between the materials. We used ultra-violet resistant greenhouse plastic film to protect the purifier overall from sunlight damage. We measured the incident solar irradiance, airflow inside the purifier, temperature of the evaporation side, temperature of the condensation side, ambient temperature outside, conductivity of the dirty and clean water, and clean water quality/taste. Finally, we compared this data to previously collected data.

Improving convective cooling during focused ultrasound thalamotomy

Authors: Chris Paul, Alex Edwards. Mentors: Christopher Dillon. Insitution: Brigham Young University. Focused ultrasound thalamotomy is a novel treatment that uses sound waves to ablate problematic neurons in the thalamus, treating conditions such as essential tremor and tremor-dominant Parkinson’s disease. However, this treatment can result in high temperatures at the skull-brain interface which can inadvertently damage adjacent brain tissue. Currently, this risk is reduced by keeping stationary chilled water around the skull during treatments. However, many patients are still unable to receive treatment due to unfavorable subject-specific characteristics (i.e. large amounts of cancellous skull tissue). This study hypothesizes that convective water flow will remove heat from the skull more quickly than stationary chilled water, allowing more patients to receive treatment. To quantify convection effects, we designed an experiment to imitate a patient undergoing focused ultrasound thalamotomy. The experimental setup consists of a hemispherical 3D-printed mock skull containing a brain surrogate, placed into a mock ultrasound transducer. Heating is achieved by pumping hot water at a constant temperature across the inside of the brain surrogate. Temperature will be recorded throughout the setup as we run cold water around the skull in varying amounts. Temperature data from the convection setup will be compared to conduction data to determine which is more effective. The apparatus has been constructed, and experimental data will be recorded shortly. Determining the extent to which convection heat transfer can be increased is an important step in developing more effective treatment plans and improving the lives of additional patients.

Improving Protein-Ligand Docking Predictions Using Molecular Dynamics Simulations and K-means Clustering

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

In the Depths of the Understory: Costa Rican Associations Between Ants and Coccoidea Unraveled using NGS DNA Barcoding

Authors: Sylvia Lee, Ainsley Parkins, Rodolfo S Probst. Mentors: Rodolfo S Probst. Insitution: University of Utah. Mutualisms between ants and plants are ubiquitous interactions and have been evolving for over 100 million years. Studies have been done on systems wherein the plants provide nutritional resources for ants, but the dynamics of mutualistic interactions in environments where host plants do not provide obvious nutritional rewards continue to remain elusive, raising questions about their co-evolutionary histories. In these circumstances, associated fauna, such as mealybugs and soft scales (Hemiptera: Coccoidea: Pseudococcidae and Coccidae), serve as intermediaries of the association, providing honeydew (enhanced plant sap) as a main food source to their host ants. However, the identity of the insects involved in these associations and their co-evolutionary history with ants is poorly understood. By focusing on samples collected in Costa Rica from 33 colonies of the Neotropical plant-ant genus Myrmelachista (Formicinae: Myrmelachistini), we sequenced DNA barcodes (cytochrome oxidase subunit 1 [CO1]) using Oxford Nanopore Technology and employed Next-Generation Sequencing (NGS) for both the Myrmelachista ants and their associated fauna. We aimed to identify their taxonomy, phylogenetic relationships and identify unique interactions between ants and their associated fauna. We recovered DNA barcodes for eleven Myrmelachista species and seven putative species of mealybugs (n=5) and soft scales (n=2). For the seven putative species of Coccoidea, our DNA barcodes, when compared to available sequences from the NCBI database, recovered an average of 85% match similarity. The closest matches associated our putative species to Old World Coccoidea taxa, reinforcing the need for taxonomic studies of this superfamily for the Neotropical region. Each putative species of soft scales was found uniquely associated with two Myrmelachista species (M. flavoguarea and M. cooperi). For all eleven Myrmelachista species, five were associated with two putative mealybug species. One putative mealybug species was associated with five different Myrmelachista species; one was uniquely associated with M. nigrocotea. Same associations were found between the associated fauna of M. flavocotea and M. lauropacifica; M. haberi and M. RSP027; M. plebecula, M. meganaranja, and M. osa, respectively. These results suggest that there may be unique associations between some Myrmelachista species and their Coccoidea associates, unconstrained by the ant phylogeny. Our findings also provide insights on Coccoidea taxonomy, emphasizing NGS DNA barcoding as a tool to illuminate how ant-plant associations might have evolved.

Income Inequality for Women in the Psychology Field

Authors: Jacob Willoughby. Mentors: Joshua Price. Insitution: Southern Utah University. Gender pay inequality remains a persistent and widely discussed issue across various professions and industries. I was curious about the extent that this issue affects the field of psychology as it is an industry that is quite significantly dominated by woman. This econometrics paper delves into the complex landscape of possible gender-based wage disparities within the realm of psychology. By employing rigorous statistical analysis and econometric techniques, I aim to uncover the underlying factors contributing to the pay gap between male and female psychologists. Understanding the intricacies of this phenomenon is not only essential for promoting fairness and equality in the workplace but also for fostering a more inclusive and diverse community within the field of psychology. This study endeavors to shed light on the extent of the pay gap, its determinants, and potential policy implications to address this critical issue in the profession.

Increasing student capability to confront difficult topics through structured conversations

Authors: Parker R. Carlquist, Lexi Brady, Seth Dotson, Jeff Glenn. Mentors: Jeff Glenn. Insitution: Brigham Young University. Background: Addressing public health problems requires cooperation from stakeholders who may have wide-ranging political, religious, moral, and societal beliefs. If stakeholders lose trust and mutual understanding between one another, the influence of public health efforts decreases. The COVID-19 pandemic illustrated these complexities as communities became divided in opinions regarding the appropriate response. Without systems and strategies to maintain and increase trust, divisive public health issues may become unsolvable. Objectives: The Campus Conversations project analyzed the effectiveness of reflective structured dialogue (RSD) in helping develop skills and abilities to address difficult conversations and topics. The project hosted conversations among Brigham Young University students of varying demographics and ideologies on divisive topics such as diversity and gender.Methods: Students were recruited to participate in an hour-long conversation with 4-6 others, including a student facilitator who guided the conversation. Conversations began with foundational agreements followed by 3 rounds of questions. Participants were each given an opportunity to speak uninterrupted in each round, followed by group discussion and questions. The structure encourages the sharing of personal experiences and beliefs in an environment that fosters understanding instead of judgement. Pre- and post-conversation surveys were administered to measure the effects of the conversations on skills. Participants were asked to rate how important they believed a skill was and also assess their ability to use it. A collection of 8 different skills and 6 different mindsets/abilities were measured. Results: Survey results found that participation in a conversation using RSD is associated with statistically significant improvements in how students rated the importance of 6 different skills. Additionally, 8 skills and mindsets/abilities saw statistically significant improvements in students’ assessed capability. The skills of “vulnerability” and “suspending judgement” saw the greatest improvements in both rated importance and assessed capabilities. The average change between pre- and post-surveys overall was a 10.5% increase. Conclusions: In order to develop effective public health policies, consensus and understanding must be achieved among stakeholders and communities. The results highlight the potential for RSD conversations to be used as an effective tool to improve students’ belief in the importance of skills required for difficult conversations and potentially improve their ability to use them. Public Health Implications: Public health is currently working to address various divisive problems that require collaboration from stakeholders that range across the political, demographic, and societal spectrums. Utilizing RSD can help promote understanding and the ability to discuss divisive issues in a calm and structured way, forming a foundation whereupon policy can be effectively created, discussed, and advocated.

Inertial Energy Storage for Jumping Robots

Authors: Caleb McDougal. Mentors: Nathan Usevitch. Insitution: Brigham Young University. Managing difficult terrain poses a major obstacle for current robotics. Everything from search and rescue to extraterrestrial exploration involves complex controls in unpredictable environments. One potential solution to handling such terrain is a robot that can jump. This could bypass the complex terrain handling and increase the speed at which long distances could be covered. While current robots can jump far, their jump distances decreases quickly with added payload massIn this project we propose a design that stores energy by accelerating a flywheel and converting its rotational energy into linear energy through a string system. Our proposed string system concept is similar to the string systems found in twisted string actuators. The strings slow the flywheel down while accelerating it upwards providing the energy for the jump. The primary energy storage mechanism of the robot is storing energy in the spinning mass of the flywheel. This means if we add payload mass to the flywheel we increase total energy stored. This allows us to increase payload mass without significantly affecting the total energy density of the robot. This would enable robots with heavy payloads to jump large distances.We are developing the system through building both a theoretical model as well as physical prototypes. Through analysis of the system we have determined an optimal rate of transmission as well as an optimal geometry for peak transmission. The models relate the geometry of the string system to the rate of transmission from angular to linear speed. We have created and tested prototypes as proof of concept on a small scale. Prototypes have been created using 3D printing and rapid manufacturing techniques. These have allowed us to explore the effects of different parameters.Jumping robots could traverse complex terrain and help explore rugged environments. The flywheel string system could allow the robot to effectively carry large payloads while maintaining large jump heights. The proposed jumping robot design could lead to important innovations in the fields of robotics and dynamics.

Inexpensive Optical Power Meter

Authors: John Walton, Dallin Durfee. Mentors: Dallin Durfee. Insitution: Utah Valley University. We are developing an inexpensive optical power meter to measure lasers in our lab. In the device the signal from a photodiode is directed through a transimpedance amplifier to provide a voltage proportional to the power of the incident light. We will use an Arduino and a 16 bit ADC to collect the voltage measurement. The Arduino will also control a switch, allowing us to change the gain of the transimpedance amplifier for measurements over a larger range of powers. The Arduino will be programmed with the responsivity curve of the photodiode so that the correct power can be calculated for a given wavelength.

Infant Identity Among the Tiwanaku

Authors: Matthew Hovorka. Mentors: Connie Ericksen. Insitution: Utah Valley University. This research project examines evidence of individual identity and personhood among perinates, neonates, and young children in the Tiwanaku culture (Western Bolivia, Chile, Peru, A.D. 500-1100) of the ancient Andes. A multifocal approach is taken in examining the topic, and ethnohistorical and archaeological evidence is examined to create a picture of Tiwanaku conceptions of personhood. Through a comprehensive analysis of burial practices, iconography, and ethnohistorical records, this study sheds light on the nuanced conceptions of personhood and individual identity held within the Tiwanaku culture. By delving into the socio-cultural context and material evidence, this research contributes to a deeper appreciation of the complex beliefs and societal values of this ancient Andean civilization.

Influence of Childhood Levels of Self Control on Adolescent Sleep Outcomes

Authors: Jacalyn Richey, Hayley Pierce. Mentors: Hayley Pierce. Insitution: Brigham Young University. Good sleep habits and effective self-control are important components of successful functioning. Unfortunately, chronic sleep loss is a common concern in adolescence as both their autonomy and demands on their time increase. This loss of sleep impacts neural and physical development and is connected with increased mental illness, delinquency, and academic difficulties. Self-control may aid in the prioritization of sleep by curbing impulsive desires and improving decision making around adhering to bedtimes. This study drew on data from the Future of Families and Childhood Wellbeing Study (FFCWS) measuring self-control at age 9 and sleep outcomes at age 15 (N = 3,444; 48.7% female; 49% Non-Hispanic Black). Multivariable analyses indicated that self-control showed statistically significant relationships with social jetlag, falling asleep, and having a regular bedtime after controlling for several relational and economic factors. Improving childhood self-control habits and skills through modeling and instruction may lead to increased positive sleep outcomes, which may increase healthy development in adolescence and beyond.

Information Anatomy Over Partition Space

Authors: Nathan Jackson, Ryan James, James Crutchfield. Mentors: Mikhael Semaan. Insitution: University of Utah. Symbolic dynamics allows for modeling---and designing for---the effects of imperfectly measuring a time series of data, by partitioning into a finite number of possibilities. The resulting time series of discrete symbols is then made especially amenable to information-theoretic methods for understanding its temporal structure and correlation. In particular, as long as the partitioning scheme is generating, the resulting estimations for entropy rate---the rate at which the process creates information---converge to a measure of chaos in the underlying system, a dynamical invariant.However, the entropy rate is not sensitive to what kind of generating partition: colloquially, an instrument must be at least accurate enough, but can be more fine-grained as desired. In contrast, its breakdown into a piece which affects future measurements (“bound”) and a piece which does not (“ephemeral”) depends quite dramatically on the choice of generating partition. We ask, then: is there a canonical partitioning scheme for which the full suite of information measures relate to dynamical invariants?To tackle this, we simulate the well-known tent and logistic maps, sweeping over all two-boundary partitions, calculating the full information anatomies for each. We find that ephemeral and bound information are extremized by the single-boundary coarsest generating partition, suggesting a canonical role for the simplest “good enough” instrument. The remaining multivariate measures, meanwhile, reveal hitherto-unseen structure in the process of imperfect measurement.

Information-Gaining Moves in Game Theory

Authors: Kevin Young. Mentors: Gretchen Ellefson. Insitution: Southern Utah University. The concept of competition is not new to humans, nor is it simple. Countless philosophers throughout the years have approached competition in many ways. One of the core subjects that philosophers have used to discuss competition is that of decision theory. Decision theory, in short, discusses the best things to do. Game theory, a subset of decision theory, discusses the same within the context of games, or in other words, strategy. Both of these subjects have been used to evaluate how best to win games of chance, games of choice, and games in between. I work to explore the concept of making moves to gain information, seeking to learn another person’s moves before you make your own. This subset of moves deserves recognition, especially within the modern eras of competition.

Inhibiting CDK9 and Autophagy in Pancreatic Cancer

Authors: Isabella Scalise. Mentors: Conan Kinsey. Insitution: University of Utah.

Innovating Disaster Response: Solar-Powered Water Purification

Authors: Evelyn Fuentes, Thomas Keate, Christian Riordan. Mentors: Aaron Davis. Insitution: Utah Tech University. Studies predict that extreme weather events, due to climate change, are expected to increase in frequency and magnitude. Specifically, the flooding impacts from a hurricane may lead to the loss of necessary infrastructure, such as water treatment plants, leading to the loss of drinkable water. In response we, as a multidisciplinary team, have developed a purification device that is able to effectively filter water to allow communities and families, without available infrastructure, to receive drinkable water. We are testing different processes of filtration to find the most efficient and cheapest method. This process of filtration would be possible due to a foldable solar array that would power a pump to push water through a filtration system. The solar array would supplement other disaster relief options due to its ability to be used without constant supervision, and it would be capable of continuous, reliable use. This device would allow for the production of drinkable water in the event that water purification infrastructure was down, but grey water was available. The solar array and water purification device would be portable for fast deployment, with options of building a larger device, as part of a disaster relief preparedness package. If successful, this device has the potential to increase disaster preparedness and save lives through providing clean water.

Insane in the Membrane: Amino acid sequence evolution and conservation in vital protein complex in gram-negative bacteria

Authors: Alexander Everett, David Bean, Jeremy W Bakelar, Randy L Klabacka. Mentors: Randy L Klabacka. Insitution: Utah Tech University. β-barrel assembly machinery (BAM) is a protein complex vital to cell survival in gram-negative bacteria that functions to insert proteins into the cell’s outer membrane. BamA, a protein composed of a membrane-bound beta barrel and several POTRA domains that protrude into the cytosol, is the primary subunit within BAM. It is suggested that BamA is conserved due to its widespread presence across the bacterial tree of life. Here we quantify the conservancy of BamA in 142 species of gram-negative bacteria from across the bacterial tree of life, with a focus on 120 species belonging to the order Enterobacterales. In addition, we compared the conservancy of BamA with other proteins with high and moderate levels of conservation in Enterobacterales. Lastly, we discuss regions of BamA that are of high conservation in the context of their potential as antibiotic targets.

Intact endothelial cell autophagy attenuates outcomes of acute ischemic stroke in mice

Authors: Milo E Light, Sohom Mookherjee, J. David Symons, Megan Tandar, Nathan Hill. Mentors: John David Symons. Insitution: University of Utah. Acute ischemic stroke (AIS) deprives cerebral artery endothelial cells (ECs) of nutrients which decreases mTORC1 activity to initiate autophagic flux. We hypothesized that depletion of EC autophagy worsens outcomes of AIS. Methods and results. First, adult male C57Bl6 mice consumed a standard diet (control) or chow supplemented with the mTORC1 inhibitor rapamycin. After 3-weeks, phosphorylated ribosomal S6 / total S6 was greater (p<0.05) in liver segments of rapamycin vs. control-fed mice, indicating mTORC1 repression. Transient middle cerebral artery occlusion (tMCAO, 60-min;) followed by reperfusion (R, 23 h) increased infarct volume, neurobehavioral deficits, and motor dysfunction, to a greater extent (p<0.05) in control vs. rapamycin-supplemented mice. Second, adult male C57Bl6 mice with intact EC autophagy-related protein 3 (Atg3WT) or inducible depletion of EC ATG3 (Atg3EC-/-) completed tMCAO+R. ATG3 colocalization with VE-Cdh5 increased (p<0.05) after tMCAO+R in ipsilesional vs. contralesional hemispheres of Atg3WT but not Atg3EC-/- mice. Neutrophil infiltration, cell death, microglia and astrocyte activation, and neurodegeneration, were greater (p<0.05) in ipsilesional hemispheres of Atg3EC-/- vs. Atg3WT mice. Further, infarct volume was greater (p<0.05), and motor and neurobehavioral performance were worse (p<0.05), in Atg3EC-/- vs. Atg3WT mice. Third, tMCAO+R evoked infarct volume was less severe after rapamycin feeding in Atg3WT but not Atg3EC-/- mice, underscoring the importance of EC autophagy. Conclusions. Intact EC autophagy is protective concerning AIS, potentially via enabling: (i) recycling of damaged proteins; (ii) nutrient generation from degraded substrates; and / or (iii) arterial vasodilation for nutrient delivery.

Integrating Longitudinal Peer-tutoring in University Composition Classes for Multilingual Students

Authors: Luke Beckstrand. Mentors: Tyler Gardner. Insitution: Brigham Young University. (47 word abstract)With their diverse range of writing-related needs and goals, multilingual students in a university writing classroom can benefit from consistent, one-on-one support from a trained peer tutor. In this presentation, I share my experiences as an embedded peer tutor in a first-year composition class for multilingual writers.(214 word abstract)There has been a recent explosion of research surrounding writing centers' relationships with the many multilingual students they serve. This research has led to the development of new resources for multilingual writers within the writing center context, including longitudinal peer-tutoring, that have yielded significant and positive results. However, much less research has taken place surrounding multilingual writers’ experiences within a composition classroom. Throughout a semester embedded as a tutor inside of two first-year multilingual composition courses, I was able to gather research and test possible applications of longitudinal peer-tutoring inside the classroom. Multilingual students need, and desperately want, writing help in all contexts. Many multilingual students flock to writing centers, who are more than happy to help, but the majority of multilingual students’ experiences with university writing continue to take place solely within the classroom. There are also many multilingual students who don’t have access to writing centers, and others that do, but don’t have sufficient time to dedicate to visiting it frequently. My research indicates that a single peer-tutor embedded within the classroom can overcome many of these obstacles and give these students the help that they desire through a similar longitudinal peer-tutoring relationship that has been achieved at some writing centers.Keywords: Writing Center, Multilingual Tutoring, Longitudinal Peer-tutoring, Classroom Applications, One-off Sessions,