Architecture

Authors: Avary Fielding. Mentors: John Salmon. Insitution: Brigham Young University. Human-robot co-manipulation is a field of study that explores humans and robots collaboratively moving objects in various applications, including areas such as search and rescue or disaster response. The focus of this particular research is the coordination of a group of 2-3 human participants to maneuver a 55-lb table and execute specific tasks, in order to draw insights on effective strategies for humans-robots teams. Within each group, a leader was equipped with a virtual reality (VR) headset, providing them with a visual representation of the end goal. In contrast, one or multiple followers, who were unable to see the desired final position, had the responsibility of following the leader to complete the task. Data pertaining to forces, torques, and position was recorded for several iterations of 18 unique table movements to investigate group strategies and learning over time. One specific maneuver involving diagonal translation in the transverse plane (xy, with +y being to the left of the leader) became of special interest and led to the formation of two key hypotheses surrounding the evolution of human coordination strategies. First, it was hypothesized that participants would initially approach the task by translating forwards (in the x direction) and then sideways (in the y direction), before potentially optimizing their strategy in subsequent trials. Second, it was anticipated that, after successfully completing the task twice, participants would adapt to a more efficient method, involving direct diagonal translation. This research aims to answer whether the transition from sequential translations to diagonal movement is a learned behavior, developed over time as groups become more adept at the maneuver. Understanding how humans naturally tend to optimize large object manipulation can be invaluable in the realm of human-robot co-manipulation, as it provides a point of reference on which to base robot behavior, ultimately improving performance and efficiency in various co-manipulation scenarios.

Authors: Kira Swann, Cody Dirks. Mentors: Joshua Price. Insitution: Southern Utah University. As students, we have personally noticed that when we had a long-term substitute in the classroom, we didn't learn as much compared to our peers in other classrooms. It has been found in California as well as other states that a teacher’s absence, leaving a substitute in place, leads to worse off standardized scores for students. This paper tests the impact of long-term substitutes on the STAR/CAASPP scores of students. The purpose of this study is to see if there is a detrimental effect on student scores and if long-term subs should be something addressed by the state. Using testing and demographic data from the California Department of Education, we use a fixed effects regression to test the true impact of the impact of long-term substitute teachers. Our results show that there is a small, but statistically significant impact on student performance.

Authors: Kelsey Grimshaw. Mentors: Joshua Price. Insitution: Southern Utah University. Job satisfaction is a multidimensional state resulting from one’s job and their responses to it. Job satisfaction contains eight facets: recognition, working conditions, management, pay, promotions, coworkers, supervision, and the job itself. The concept of economic sectors was first introduced by economist Colin Clark. He suggested industries could be separated into categories. These categories would be determined based on significantly different characteristics of industries. There are currently five economic sectors: primary (raw materials), secondary (manufacturing), tertiary (service), quaternary (information services), and quinary (public service). Data on occupation and job satisfaction from the General Social Survey were used to build a multivariate linear regression. Results are forthcoming.

Authors: Beckham Trigo. Mentors: Johnathan Chidester. Insitution: Southern Utah University. The lack of resources, funding, and federal recognition is leading to the deficit in K-12 Education around the United States compared to other first world countries with developed education systems. For years the United States has been hammered on the fact that the country doesn't provide every child with bilingual study opportunities. European countries such as Spain, Italy, Germany, and France all offer bilingual studies and are making them required for students to take. These are key elements in a successful education system and offer so many more opportunities and benefits than the standard single language system we have placed in our K-12 Schools. Statistically the change to a new bilingual research would greatly benefit our country and would help decrease political divisiveness and bring an extent of unity among several ethnic groups in the country. The country continues to grow through immigration where the United States is projected to become the top Spanish speaking country in the world with 140 million speakers. However, the United States is not preparing for this and investing in its future students and citizens. Research has proven time and time again that there are so many benefits to a bilingual education, some of these including an increase in brain activity, and power in children, an academic advantage, and competition in the job market. The United States has deeply oppressed this system due to systematic racism, and political motivation. However, the United States has no established language in which it defines itself even though the majority speak English. The United States is also a world power with a lot of interaction with foreign countries. This in itself is going to be very problematic for the future of the United States as the world climate changes. It needs leaders to represent itself in many other languages, not just in the English language. The contrary to this research is that the language is ineffective to learning, makes it harder for students to assimilate into the United States culture, and spend too much time learning the second language. However, none of these statements can be statistically backed and solely based on a few percent of people's personal experience. Overall the research time and time again directs the United States to the bilingual education system, but when will it be adopted?

Authors: Lauren Howell. Mentors: Joshua Price. Insitution: Southern Utah University. This paper empirically assesses the relationship between state abortion policies and birth control consumption per state in the United States. The intention is not to advocate for or against abortion, but to explore how abortion policy influences the usage of contraceptives per state. The surveillance of contraceptive use holds paramount importance in preventing unintended pregnancies, with 95% of these occurrences attributed to inconsistent or incorrect contraceptive use or the absence of any method. Understanding how behaviors and contraceptive practices change over time in response to state policy alterations is crucial for evaluating the health implications of healthcare access regulations. Contraception stands among the greatest public health achievements of the 20th century, significantly reducing maternal mortality, benefiting pregnancy spacing for both maternal and child health, enhancing female participation in the workforce, and fostering women’s self-sufficiency. Utilizing data from sources such as the American Community Survey (ACS), the Abortion Patient Survey (APS), the National Survey of Family Growth (NSFG), and the Natality Detail File, this study delves into a comprehensive analysis of contraceptive use in relation to state abortion policy. Through statistical analysis using Stata 18 and ordinary least-squares (OLS) regression, this research aims to build on prior studies and ascertain the relationship between strict state abortion laws and birth control consumption. It hypothesizes that restrictive policies, such as increasing the cost and difficulty of accessing abortion, might incentivize women to adopt more effective contraceptive methods to avert the consequences of unintended pregnancies. The study also references prior research that suggests changes in contraceptive use, notably an increased reliance on long-acting reversible contraception (LARC), and how it has contributed to a decline in abortion rates, particularly among adolescents. The results of this study hold the potential to advocate for an increased educational focus on safe sex practices and to increase the accessibility of family planning resources based on state policies. It aims to shed light on the potential impact of restrictive abortion laws on birth control consumption and encourages informed policy decisions for public health and family planning.

Authors: Allie Baumgartner. Mentors: Chizu Matsubara. Insitution: Utah Tech University. • ABSTRACT: A student’s understanding and comprehension of content specific vocabulary is essential for their learning. However, Multilingual Learners (MLs) can struggle to understand what they are learning when they do not have knowledge of content specific vocabulary. This research focuses on the implementation of strategies into a small group reading lesson. These strategies will work towards increasing students’ understanding of content specific vocabulary words, in the areas of social studies and science. By using the methodology of action research, the research will implement research-based strategies for strengthening vocabulary for students learning English as a target language. This research will be conducted over a six-week time frame, with two focus students that are multilingual learners. The research-based word-learning strategies will be incorporated into the small group consisting of four students, to support their learning. Word-learning strategies are strategies that assist students to ascertain the meanings of words that are unfamiliar to them. Students can then apply these strategies to learning of unfamiliar words that are included in the content reading that they do in another small group. The word-learning strategies will support the students in learning, and understanding the meaning of content specific vocabulary words.

Authors: Edwin Nazario, Mason Davis, Mohammad Shekaramiz, Mohammad Masoum, Abdennour Seibi. Mentors: Mohammad Shekaramiz . Insitution: Utah Valley University. Wind turbine blade maintenance is expensive, time exhaustive, and prone to human error and misdiagnosis. With our energy production rapidly increasing in the green sector, these issues are only exacerbated. As wind energy production is expanded in Utah, and the wider Mountain West, the capital cost of wind turbine damage and the subsequent downtime of the turbines will cause strain on our energy output capabilities. One such solution is the development of autonomous classification and identification of these anomalies through deep learning. In this research, a novel dataset is created using a small wind turbine and multiple deep learning architectures and techniques are deployed for comparative analysis. Here, ResNet-50, VGG-19, Xception, and a custom CNN are deployed for the purpose of anomaly detection. Transfer learning is also investigated for further performance gains with each of the existing architectures as the backbone network. For this research, a new dataset was created that combines both indoor and outdoor images of a small wind turbine. A total of 6 blades were used, 3 representing healthy and 3 representing faulty, resulting in 6000 images. The faults on the blades had a combination of cracks, holes, and erosion to simulate the damage found on commercial grade turbine blades. Indoor images were taken using different cameras and backgrounds to simulate human inspection. To introduce realistic environmental features to the dataset, such as sunlight and clouds, drones were utilized for outdoor imaging. After extensive hyperparameter search and simulations, it was found that the Xception architecture provided the best classification accuracy of 99.33% followed by ResNet-50 and VGG-19 attaining 98.412% and 97.418%, respectively. This accuracy shows promising performance in the autonomous detection of wind turbine faults for the purpose of health monitoring and maintenance scheduling. To expand on our work, fault localization and size analysis techniques will be investigated to provide more detailed information to maintenance personnel.

Authors: Ashton Walden. Mentors: Sayeed Sajal. Insitution: Utah Valley University. Cyber attacks are at an all-time high and mobile devices are some of the most highly targeted devices today. This is due to the shifting landscape of the workforce brought on by the coronavirus. December 12th, 2019 saw the first patients in the Hubei Province of China experience symptoms of what would become known as the Coronavirus that would eventually cause a global pandemic. Little did anyone know at this time the world would change drastically because of this virus. One of the areas that was hit the hardest was the global workforce. Many industries were forced to shut down or adopt a method of remote work. This led to companies adopting either a mobile device management system or a bring-your-own-device policy. Cybercriminals took notice of this abrupt shift and began taking advantage of the many vulnerabilities of mobile devices. This paper investigates those vulnerabilities, how cybercriminals take advantage of those vulnerabilities, and what can be done to prevent attacks on mobile devices. Interviews were conducted with 10 separate iPhone users on their mobile device habits and their basic knowledge of mobile device safety. Various papers related to the topic as well as industry-leading websites were consulted for industry standards and statistics as well as safety recommendations. Through multiple interviews and analysis, I have found that many users have a strong sense of confidence in their phone’s built-in privacy and security protections and many believe that this is sufficient cyber security and leaves them with little to no vulnerabilities. I have also found that security incidents on mobile devices are not uncommon, one 2021 report even showed that 46% of companies reported a security threat stemming from a malicious mobile application installed by an employee. I have concluded that as a result of many individuals believing that their mobile devices have pre-installed security measures they are not at risk of an attack. This may lead them to indeed become more vulnerable as cyber attacks on mobile devices and mobile device management systems have become extremely common in the modern world.

Authors: Mason Davis. Mentors: Mohammad Shekaramiz. Insitution: Utah Valley University. Forest fires are disasters that devastate our local communities here in Utah and communities abroad. Characterized as uncontrolled and unpredictable fires in areas with combustible vegetation, these phenomena cause ecological and economic harm. With global warming driving temperature increases and variability in weather patterns, these fires are becoming more severe and frequent. Calls from local and national leaders for solutions are ever-growing. An important factor in fighting these fires includes early detection and monitoring. With advances in artificial intelligence and computer vision, the accuracy and speed of detection can be greatly improved. In this research, two new deep learning approaches making use of transfer learning are developed and investigated for fire detection. To compare performance further, existing architectures are also deployed for analysis on the fire detection problem, including ResNet-50, Xception, MobileViT, and Support Vector Machine. To train and evaluate the performance of the above models, the popular forest fire dataset known as DeepFire was utilized. This dataset consists of a symmetrical split of fire and no-fire images consisting of 1900 total images in varying forest environments. Each architecture was tuned through hyperparameter searches and trails to seek ideal combinations for optimal performance. A comparison was drawn with the most recent literature making use of this dataset. Here, our modified Xception architecture leveraging transfer learning topped all recent publications on the DeepFire dataset by achieving 99.211% accuracy. With wildfires increasing in frequency and severity, the early detection of these disasters is paramount to controlling their spread. We have seen that deep learning can provide an increasingly accurate way to autonomously survey and detect these disasters. This is a promising step toward autonomous detection and early elimination of these disasters as they start. Future work will include the investigation of real-time processing techniques for fire detection, allowing for real-time data acquisition, inference, and transmission of geo-information to emergency and forest management teams.

Authors: Jalynn Lunceford. Mentors: Crystal Koenig, Arianna Harrington. Insitution: Southern Utah University. At Southern Utah University, the Anthropology and Mammalogy Teaching Collections were widespread and disorganized. The Anthropology Teaching Collection had not been curated yet, and only a binder of handwritten records from 2005 existed for Mammalogy. Mammalogy had over 70 specimens exhibiting dry rot, unsealed taxidermy was found to be leaking onto storage trays, and various skeletal specimens were in severely fragile states. When tasked with organizing these collections, my main goal was to create a better inventory and curation system for easier access to teaching materials and increase interdepartmental resource-sharing. Over 600 recorded hours, I created separate websites for each collection to display photos of available specimens, and specimens were inventoried using a taxonomic-based numerical barcoding system. Their housing system was reorganized and improved where possible. Over 100 specimens were cataloged in Anthropology; the majority were additive-manufactured primates with no real human remains. In Mammalogy, 1,296 specimens were cataloged; over 700 were skeletal remains and the remaining 500 were taxidermy, with one surprise discovery of undocumented human remains. The human remains were sent to the State Forensic Examiner and was determined to be a poorly prepared anatomical specimen. This project allowed me to prevent further damage to the Mammalogy specimens by effectively removing rotting and highly damaged specimens, and treating for moths. Lost materials were rediscovered, including the first known primate to the collections. Now, professors and students can effectively navigate and locate teaching/learning resources from the databases and websites I created, and better anticipate future collection needs.

Authors: Brandie Statham, Rebekah Hakala. Mentors: Todd Spencer. Insitution: Utah Valley University. The link between attachment style and sexual intercourse frequency is critical in determining an individual's sexual satisfaction in a romantic relationship. Secure, anxious, avoidant, and disordered attachment types all have a substantial impact on how people approach sexual intimacy (Mark, Vowels, & Murray, 2018). Individuals who are securely attached tend to have better levels of sexual satisfaction because they can openly communicate their desires and needs, creating a positive and supportive sexual environment. Anxiously connected people, on the other hand, may experience swings in sexual satisfaction as a result of their reliance on sexual connection for reassurance. Individuals who prioritize physical proximity over emotional intimacy may have difficulty forming deep emotional relationships, affecting their overall sexual satisfaction. Disorganized attachment patterns can result in complex and occasionally contradictory experiences (Mark, Vowels, & Murray, 2018).. They may want both closeness and distance, which can create confusion. This attachment style's unpredictability can have an impact on both frequency and satisfaction.The purpose of the present study is to examine the relationship among attachment styles and sexual satisfaction, and sexual frequency. Our sample consists of 411 married individuals. Participants completed The Relationship Questionnaire (RQ; Bartholomew & Horowitz, 1991), Sexual Frequency, and Sexual Satisfaction Index (CSI-4; Funk & Rogge, 2000). Results of the one way Anova were significant F (3,407) = 8.21, p=<.001. There was a significant difference in levels of sexual satisfaction among attachment styles. Secure attachment (M=32.95, SD = 8.23), fearful attachment (M=29.40, SD = 9.80), preoccupied (M=29.54, SD = 9.82), and dismissing (M = 30.77, SD = 9.97). Results of the Bonferroni Post-hoc analysis indicated a significantly higher levels of couple satisfaction than fearful and dismissing attachment styles (p.<.001). There was no significant difference in the amount of frequency of sex and attachment style. Results provide empirical support that secure attachment styles tend to be beneficial for sexual satisfaction despite having no statistical difference in sexual frequency.

Authors: Cole Murphy, Andrew Blazzard, Austin Barney. Mentors: Patrick Steffen. Insitution: Brigham Young University. BackgroundHigher levels of social media use (SMU) have demonstrated associations with higher levels of self-reported stress. However, the association between SMU and physiological markers of stress, such as heart rate variability (HRV), is less understood. We hypothesize that increased time spent each day on social media will be associated with decreased baseline HRV, but only for individuals who report high rates of stress. We also hypothesize that time spent on social media will be associated with decreased baseline HRV for individuals with higher levels of neuroticism. When considered together, we hypothesize the largest association between SMU and baseline HRV for individuals with higher levels of both stress and neuroticism.MethodsUsing a sample of 165 undergraduate students, we measured baseline heart rate variability with a 3-lead ECG. We determined the average SMU using the Social Media Use Questionnaire (SMUQ). We also ascertained self-reported stress levels using the Depression, Anxiety, and Stress Scale (DASS), and levels of neuroticism using the IPIP NEO Neuroticism Extraversion Openness - PR (IPIP-NEO-120). We will use multivariate regression for our analysis.ResultsResults are undergoing analysis. ConclusionsWhile the use of social media by itself may not have a clear direct association with HRV, it is important to consider the effects of social media use on people with a high emotional state of stress and/or high levels of neuroticism. As public policy continues to be developed for social media, it is important to consider how people with higher tendencies to become stressed and those with higher levels of neuroticism can be affected by social media use if unregulated.

Authors: Gabriela Coca. Mentors: Jocelyn Wikle. Insitution: Brigham Young University. This research project is a response to a policy gap in kinship care in the state of Utah. In conversations with Representative Watkins from Utah, I learned that there is interest among policy makers and policy influencers in improving adoption placements in Utah. There is interest in investigating the benefits and costs of prioritizing kinship care, so that better policy solutions can move forward. This project aims to provide research-based information on both benefits and costs of kinship care as well as to propose viable policy solutions that could improve outcomes for children and families touched by adoption.In the United States today, it is unfortunate to say that there are many kids that are living within homes that cannot provide them the adequate resources to succeed in life. Financial instability, substance abuse, and parents with mental health challenges are all strong predictors of being placed in kinship care (Jedwab et al., 2020; Tian et al., 2023). For these reasons, organizations such as Child Protective Services (CPS) and others are trying to find homes for these kids in which they can feel safe and still progress in life. For many countries, including the US, kinship care is at the top of the hierarchy when it comes to placement options (Jedwab et al., 2020). Kinship care is “any living arrangement in which children do not live with either of their parents and are instead cared for by a relative or someone with whom they have had a prior relationship. Many agencies include agencies beyond blood relatives such as god parents, family friends, or anyone else with a strong emotional bond to the child” (Geen, 2004, pg. 132). Kinship care has proven well in many cases because it brings a lot of stability to children (Jedwab et al., 2020; O’Brien, 2012; Hallet et al., 2023; helps them to understand their identity (O’Brien, 2012), and it allows them to stay close to the family and friends network (Clements & Birch, 2023).Although kinship care has many upsides, it also has many downsides, which is why it has been a difficult topic for many people. For example, research has found that many people who are kinship carers tend to be alone and older and in poor health (Geen, 2024; Clements & Birch, 2023; Farmer, 2009; Burke et al., 2023) compared to carers in the foster care systems. This may limit their ability to take care of children and provide them the adequate resources that they need in order to flourish. Multiple researchers recommend that state governmental institutions provide more training and financial support to kinship carers (Jedwab et al., 2023; Burke et al., 2023) so that they can at least have the abilities and resources to adequately take care of kids found in these situations. At the end of the day though, ideally it would be beneficial for precautions to take place and standards to be set forth so that children do not have to be placed in out-of-home placements in the first place (Burke et al., 2023). ReferencesBurke, S., Bouey, J., Madsen, C., Costello, L., Schmidt, G., Barkaskas, P., White, N., Alder, C., & Murium, R. (2023). Kinship care: Evaluating policy and practice. Journal of Public Child Welfare, 17(3), 647–668. https://doi.org/10.1080/15548732.2022.2091721Clements, J., & Birch, S. (2023). Exploring risk and protective factors in kinship family environments: A systematic literature review of the views of children in kinship care. Educational Psychology in Practice. https://doi.org/10.1080/02667363.2023.2243212Geen, R. (2004). The Evolution of Kinship Care Policy and Practice. The Future of Children, 14(1), 131–149. https://doi-org.byu.idm.oclc.org/10.2307/1602758Hallett, N., Garstang, J., & Taylor, J. (2023). Kinship care and child protection in high-income countries: A scoping review. Trauma, Violence, & Abuse, 24(2), 632–645. https://doi.org/10.1177/15248380211036073Jedwab, M., Xu, Y., & Shaw, T. V. (2020). Kinship care first? Factors associated with placement moves in out-of-home care. Children and Youth Services Review, 115. https://doi.org/10.1016/j.childyouth.2020.105104O’Brien, V. (2012). The benefits and challenges of kinship care. Child Care in Practice, 18(2), 127–146. https://doi.org/10.1080/13575279.2012.657610Tian, Y., Ma, Z., & Peng, F. (2023). Positive development of orphans in kinship care: The role of family stability. Child & Family Social Work. https://doi.org/10.1111/cfs.13083

Authors: Parker McKasson, Hannah Hornberger, Sydnee Bond, Olivia Heller, Josh Marchant. Mentors: Patrick Steffen. Insitution: Brigham Young University. BackgroundIntrinsic religiosity is a deeply rooted connection to one's faith. Individuals with high intrinsic religiosity find purpose and meaning through their spiritual connections. Extrinsic religiosity is primarily driven by social or other superficial factors. Individuals with high extrinsic religiosity may be more inclined to participate in religious activities and communities without having a deep connection to their faith. Intrinsic religiosity has demonstrated associations with lower self-reported stress, however, associations between intrinsic/extrinsic religiosity and baseline heart rate variability (HRV), a proxy measure of the parasympathetic nervous system, have not been studied. Such research has the ability to explain how the complex relationship between religiosity and stress affects overall well-being. We hypothesize that higher self-reported stress will be associated with lower baseline HRV, but intrinsic religiosity will serve as a buffer, such that stress will have a weaker influence on baseline HRV among individuals who are more intrinsically religious. We predict that extrinsic religiosity will have no influence on the relationship between stress and HRV. MethodsA survey and biofeedback study were conducted on a sample of 165 college students. We used the Depression, Anxiety, and Stress Scale (DASS) and Intrinsic/Extrinsic Religiosity Scale (IE/R), as well as measured baseline heart rate variability (HRV) using a 3 lead ECG. We will analyze the impacts of stress on HRV across people with varying levels of intrinsic/extrinsic religiosity through a multivariate regression model.ConclusionsReligiosity is not often viewed as a direct contributor to health and wellness, however, when viewed as a protective barrier against stress, intrinsic religiosity could play an important role in an individual’s stress response and wellbeing. In the presence of stressors, we expect intrinsic religiosity to be related to healthier parasympathetic functioning as measured through HRV.

Authors: Vanessa Tuttle. Mentors: Liz McGuire. Insitution: Brigham Young University. Despite significant strides in global gender equality, women remain underrepresented in leadership roles, prompting investigation into public perceptions of women’s leadership. Our research delves into the often-overlooked aspect of female-to-female interactions and their impact on women's self-perception as leaders. We aim to identify the voices that most influence women's beliefs about their leadership abilities, contributing to the broader discourse on gender parity in leadership. Drawing on historical and cross-cultural perspectives, we theorize that women, historically designated as primary caregivers and reproducers of society, play a pivotal role in shaping individuals' beliefs. This designated role may lead women to internalize societal norms that undervalue their leadership capabilities outside the home. We examine the potential impact of empowered female role models on women's confidence in leadership roles. We employ a lab-in-field experiment conducted in Kuala Lumpur, Malaysia, and Arusha and Dar es Salaam, Tanzania. Participants are assigned to groups with varying gender compositions, engaging in a task where success is dependent upon the leader, followed by a post-treatment survey evaluating their experience, leader, and perceptions of female leadership. Through this experiment, we contribute empirical evidence to the ongoing discussion on gender disparities in leadership and challenge existing theories, providing valuable insights into the complex dynamics that contribute to the confidence gap between men and women in leadership roles. Our preliminary findings from our ongoing research may have implications for strategies aimed at fostering gender equality in leadership, encouraging a more nuanced understanding of the factors influencing women as leaders.

Authors: Tzu Yu Weng, Isaac Teuscher. Mentors: Xinru Page. Insitution: Brigham Young University. While online technology connects people around the world, norms around privacy, appropriate interactions, and information sharing vary significantly from culture to culture. Thus, we investigate potential issues that can happen when individuals from different cultural backgrounds interact through online platforms such as social media or texting. Our study consists of interviewing participants who have recently relocated to another country. Participants were invited to share instances of how their technology usage differs from that in their country of origin. Through inductive coding, we identified patterns in how cultural differences influence technology interactions. In this presentation, we will discuss the results from the analysis including recommendations for developing tools to enhance intercultural interactions online and reduce barriers in cross-cultural exchanges.

Authors: Dante Celani, Laisha Noyes, Candice Johnson, Seun Onileowo, Randy Klabacka. Mentors: Randy Klabacka. Insitution: Utah Tech University. Increased accessibility to next generation sequencing technology (NGS) has facilitated genomic research in diverse biological disciplines studying non-model organisms (which constitute 99.99% of all organisms on Earth). However, most techniques in NGS require mapping of raw-sequencing reads to a refence genome, this presents a challenge for studies involving non-model organisms since no con-specific reference genome is available for the vast majority of these species. Researchers facing this challenge frequently use the reference genome of a related taxon. While it is understood that read mapping efficiency is inversely related to evolutionary distance between read and reference taxa, the exact nature of the relationship is unknown. To examen this we mapped whole genome sequence data from four Aspidoscelis lizard species (“whiptails”) to twenty-eight genomes of varying relatedness across the vertebrate tree of life. We examined the relationship of mapping success to phylogenetic distance and assessed the relationship between these variables.

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