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2024 Abstracts

Loneliness and Parasocial Relationships at SUU

Authors: Haley LeFevre, Julie Pynn. Mentors: Julie Pynn. Insitution: Southern Utah University. Loneliness is a perceived isolation resulting from a lack of meaningful social connections. The COVID-19 pandemic increased rates of loneliness for many people, including college students. At the same time, internet use also went up. As loneliness and internet use increased, many people turned to parasocial relationships, forming one-sided emotional connections with online content creators and celebrities. Do students at SUU use parasocial relationships to cope with loneliness? We predict that students at SUU who are experiencing loneliness will be more likely to engage in parasocial relationships. Understanding how people interact with online content and develop relationships with online personalities is essential for promoting digital literacy and positive online behavior as internet usage grows. This research can explain the significance of digital media in students' lives if SUU students are using parasocial relationships to deal with loneliness. In that case, the university can create specialized support programs, workshops, or counseling services to assist students in making more effective coping strategies and minimizing feelings of isolation. Results are forthcoming.

Long-Term Substitutes Effect on Student Scores in California

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.

Low Academic Self-Efficacy Predicts Higher Depression and Anxiety in Students of Color

Authors: Nathaniel Call. Mentors: Chelsea Romney. Insitution: Brigham Young University. New college students may experience stressors like difficult academic work, new social environments, and living on their own for the first time. Students of color may experience additional stressors due to minority stress, experiences of racism, and unfamiliar social contexts. We collected self-reported depression, anxiety, and academic self-efficacy measures from 742 first-year college students. We found that students of color reported higher levels of depression, F(1, 733) = 11.04, p < .001, and anxiety F(1, 734) = 14.91, p < .001, compared to white students. Further, we found that white students reported higher academic self-efficacy, F(1, 742) = 9.97, p = .002, compared to students of color. This suggests that lower confidence in academic work is related to higher depression and anxiety in nonwhite students, r(661) = -.32, p < .001. Our study builds on previous research by providing a possible pathway through which students of color develop more depression and anxiety through lower academic self-efficacy compared to white students.

Lower Limb Asymmetries in Unilateral Jump Mechanics as Possible Risk Factor for Injury in Collegiate Wrestlers

Authors: Jacob Armstrong, Tyler Standifird. Mentors: Tyler Standifird. Insitution: Utah Valley University. Lower Limb Asymmetries in Unilateral Jump Mechanics as Possible Risk Factor for Injury in Collegiate WrestlersJacob Armstrong and Tyler Standifird 1Utah Valley University, Orem, Ut. Injuries impose a multi-faceted burden on athletes, coaches, and sporting organizations, encompassing physical, financial, and psychological ramifications. Determining risk factors and identifying them in athletes has been a widespread goal amongst researchers and practitioners in attempts to reduce injuries. Investigating Limb asymmetries, or limb imbalances, has been a common approach in identifying such factors but has shown inconsistent correlations with injuries (Melony, 2018). Moreover, much of the current research investigates asymmetries of outward limb performance (i.e., Strength, flexibility, jump performance etc.) and not asymmetries of internal joint mechanics. Identifying relationships between internal joint asymmetries and lower limb injuries can further aid coaches, practitioners and sporting organizations in effectively identifying injury risks. Purpose: The purpose of this study was to investigate internal joint asymmetries of the lower limbs during unilateral jump testing and their association with injuries in collegiate wrestlers. Methods: 23 healthy Division 1 NCAA collegiate wrestlers performed single leg depth jumps from a 12-inch platform unto force plates (Bertec Inc 1000 hz). Additionally, markerless motion capture technology was used to collect video data using Qualisys Mocap cameras (Qualisys North America, Inc. Buffalo Grove, Ill). Imagery was then processed in Theia (Theia Markerless, Inc. Kingston, Ontario) to produce 3d joint locations for all the joints of the lower extremity. Each wrestler performed 3 jumps with the left leg and then 3 with the right leg for a total of 6 jump attempts. 7 total variables were calculated and recorded in Visual 3D software (Dolomite Enterprises, LLC. Tallahassee, FL) for each wrestler and leg: drop max vertical force, vertical loading rate on drop, peak knee adduction angle, peak knee abduction moment, peak knee adduction moment, peak knee flexion angle, peak knee extension moment. Averages, standard deviations and percent differences were also calculated and compared between limbs. Injury history data was also collected from each participant from the year 2021 - present day.Results: Averaging found asymmetries in peak knee adduction angle with the left knee being greater than the right by 4.9 degrees (p=0.001), peak knee abduction moment with the right knee being greater than the left by .95 newton meters (p=0.001), and peak knee adduction moment with the left knee being greater than the right by .44 newton meters (p=0.001). All significant asymmetries were found in the frontal plane. No significant asymmetries were found in the sagittal plane. Injury history report found a total of 24 seperate lower limb injuries within the described timeframe. 16 associated with the right limb and 8 associated with the left. A total of 5 ACL injuries, 8 MCL injuries, 5 LCL Injuries, 3 meniscus injuries, and 3 ankle injuries. Conclusion: Asymmetry trends in collegiate wrestlers potentially indicate that internal joint asymmetry is specific to sport or activity. Also, internal joint asymmetry could be a potential indicator for training protocols for overall better movement and health within the studied population. Asymmetrical values of the peak knee adduction angle, peak knee abduction moment, and peak knee adduction moment combined with the frequency of knee injuries of the participants indicate possible positive correlations between the magnitude of asymmetry discovered and injury risk.

Lysine Methyltransferase SETD7 Methylates Two Novel Residues on Histone H3

Authors: Braxton Bird. Mentors: Sarah Franklin. Insitution: University of Utah. Heart disease ends the lives of nearly 700,000 people each year and has been the leading cause of death in the United States since 1950. Around this time researchers discovered that some modifications involving our genetic code could be altered to affect gene expression but leaves the DNA intact, which was later termed epigenetics. Today we’ve discovered that these epigenetic modifications, including post translational modifications (PTMS), regulate genes linked to cardiovascular disease. We recently examined the histone lysine methyltransferase SETD7, which is most prominently known for its ability to methylate histone H3K4. SETD7’s expression is upregulated in multiple types of heart disease in both humans and mice and is essential for cardiomyocyte differentiation in embryonic development. In addition to its ability to methylated H3K4, SETD7 has been shown to methylate 8 other histone residues. To further characterize the histone residues methylated by SETD7, we carried out an unbiased analysis of lysine residues methylated by SETD7 using an in vitro methyltransferase assay coupled with tandem mass spectrometry. We hypothesized that SETD7 may modify additional sites than those that have previously been identified. Our analysis determined that SETD7 monomethylates two novel residues on histone H3: lysine 36 (K36) and lysine 122 (K122). These sites of modification were also confirmed by western blotting for site specific antibodies to these methylation marks. Although our understanding of both these residues is limited, we do know that K36 methylation is linked to DNA replication and genomic stability while K122 methylation is downregulated in drug-resistant MCF-7/ADR cancer cells. These two novel methylation sites suggest that this lysine methyltransferase plays a more complex role in regulating epigenetic modifications and gene expression than previously recognized. Although the identification of this new enzymatic activity for SETD7 is important for understanding the dynamic function of methyltransferases, additional studies will be necessary to fully elucidate the role of SETD7 in cardiac physiology and gene regulation.

Magnetic Field Spatial Gradient Delivery Optimization For Visualization of Ultrasound Waves During Neuromodulation

Authors: Davi Cavinatto. Mentors: Steven Allen. Insitution: Brigham Young University. Previous work indicates that magnetic gradients oscillating at the same frequency and direction as ultrasound (US) longitudinal displacement can encode particle movement into the complex phase of a magnetic resonance (MR) image. Until now, the coil configuration (Helmholtz) used to generate this oscillating magnetic gradient has constrained the use of this technique to small imaging volumes. Here, we explore the feasibility of using a single coil configuration to improve the versatility of the apparatus, making it possible to visualize US waves as they propagate through tissue that was previously inaccessible through the technique, such as the human brain. This novel approach to the visualization of US waves could potentially be used to establish the missing correlation between the results of neuromodulation treatments and their mechanism of action, thus improving the scientific rigor of this field of research.Wolfram’s Mathematica and COMSOL’s Multiphysics were used for developing a single-coil configuration in silico. The coil design was constrained by the minimum imaging distance from the coil (20mm), gradient needed for an image with signal-to-noise ratio of approximately 10 (0.4 T/m), minimum coil inner radius for fitting the US transducer (20mm), maximum peak current at the coil (20A), and frequency of operation (500kHz). Using Biot-Savart’s Law and Mathematica, we estimated the number of turns needed and the total length of the wire. In order to reduce the skin effect and proximity effect due to the frequency of operation (500kHz), a specific Litz wire configuration was chosen for the windings. Plots for the magnetic gradient over the central axis of the coil were created and compared on both programs to confirm the accuracy of the model.Plots of both the mathematical and in-silicon models matched and proved the high efficiency of the coil system at the frequency of application. The two magnetic field gradient plots corroborate the feasibility of the proposed single coil system for imaging US waves and verification of the functioning of neuromodulation in the extension of the cerebral cortex.

Manufacturing compliant carbon fiber origami using powdered resin

Authors: Jacob Winters. Mentors: Nathan Crane. Insitution: Brigham Young University. Carbon fiber-reinforced plastics are useful because of their high stiffness and high strength. Compliant mechanisms, or mechanisms that can bend and flex, can lower production costs, assembly time, and weight. When carbon fiber-reinforced plastics and compliant mechanisms are combined, the result is a part that is strong, lightweight, and adaptable to many geometric configurations or shapes. However, it is challenging to manufacture compliant mechanisms from carbon fiber because the matrix is usually infiltrated uniformly. The purpose of this investigation was to determine how to produce compliant carbon fiber plastic components using selective, patterned powder infiltration to achieve the desired component properties. The investigation involved determining the correct method of curing the resin, designing specific carbon fiber parts to achieve various geometries, and producing demonstrations that prove the feasibility of the manufacturing process. The result is a proven process for creating compliant mechanisms out of carbon fiber composites.

Maria Firmina dos Reis: A Voice from the Past that Echoes in the Present

Authors: Joshua Cook Wright. Mentors: Jordan Jones. Insitution: Brigham Young University. Fifty years ago, Brazilian scholar José de Nascimento Morais Filho rediscovered Maria Firmina dos Reis (1825–1917), Brazil’s first female—and first black female—novelist. Morais published a biography about Reis, including in it as many of her works as he could find. During her lifetime, Reis published the novel, Úrusula, musical compositions, short stories, and poems, though it was only through Morais’ biography that some of these works were reintroduced to the general public. Reis used writing to challenge the flaws she saw in society. The most glaring of these was slavery, with which she had first-hand experience, her Afro-Brazilian mother and African grandmother having been enslaved. Because of this, she has gained notoriety as not only the first female novelist in Brazil, but as an ardent abolitionist. However, the people living in her hometown of Guimarães, Maranhão, knew her—and continue to remember her—quite differently. To them, she was a teacher, whose life’s work was to educate and elevate as many lives as she could. She founded a school that taught both boys and girls and refused to use corporal punishment. Using information gathered on a summer research trip to Maranhão, Brazil, including a visit to the archive where Reis’ works were rediscovered and a visit to Guimarães, I will compare the prevailing understanding of Maria Firmina dos Reis as an abolitionist writer with the powerful and living legacy that I experienced first hand in Guimarães. I conclude by discussing the impact of viewing Maria Firmina dos Reis as both an abolitionist and a teacher, how these views complement each other, and how seeing both sides of her story can help us better understand how activism can manifest in many different ways.

Mayfly Wing Wonders: Uncovering Genetic Threads in Parthenogenic Individuals using RNA

Authors: Melissa Rangel, Avery Larsen, Heath Ogden. Mentors: Heath Ogden. Insitution: Utah Valley University. Mayflies, also known as ephemeroptera, are members of the first group of insects that evolved the ability to fly(Gillott, 2005). Distinct developmental characteristics of the life stages of the mayfly are the reason that Ephemeroptera are of particular interest.The aquatic nymph stages do not have wings, but they do possess abdominal leaf-shaped gills, and in some cases gills associated to the legs. The abdominal gills can sometimes be used to help propel the insect through its environment (Eastham, 1936) in addition to performing gas exchange. Centroptilum triangulifer (family Baetidae), will be used for RNA extractions to study the developmental genetic profiles for characteristics such as wings and gills. Objectives for this research are 1). Acquire samples from different instars, subimago, and imago. 2) Perform 10 RNA extractions. 3) Use Qubit technology to ensure ≥ 20 ng/μL RNA concentration per ≥ 10 μL. 4) samples will be packaged in thermo-stable shipping boxes and sent to Novogene where samples are tested once more for quality control. 5) Once quality is confirmed, samples will be sent and processed by Novogene. 6). Using an in-house bioinformatics workflow, RNA data will be checked for quality, trimmed, aligned, and assembled. The assembled contains will be used to search for genes of interest. 7) the resulting RNA expression profiles will be compared across the installs, sub imago, and imago and to other expression profiles from other related insects.

Measuring shear wave speed in tendons using low-cost accelerometers on a flexible PCB with an Arduino microcontroller

Authors: Eli F Smith, Christopher Dillon, Matthew S Allen. Mentors: Matt Allen. Insitution: Brigham Young University. Background: Shear wave tensiometry offers a method to measure in vivo tendon tension, crucial for inferring applied loads on tendons. However, existing equipment for this purpose is costly and lacks mobility, limiting the ability to study a larger cohort of subjects engaged in various physical activities. Goal: This research aimed to assess the viability of utilizing low-cost digital accelerometers in conjunction with an Arduino-based microcontroller for shear wave tensiometry. Approach: This work employs surface-mounted accelerometers on a custom flexible printed circuit board (PCB), so that even spacing can be maintained between the accelerometers without interfering in data collection. To test the system and verify its ability to acquire measurements at a high enough rate, the PCB was connected to a shaker driven with a known sinusoidal signal. The flexible PCB was held in place on the Achilles tendon using athletic tape with a tapper placed on the tendon to send a shear wave through the tendon. Results: The results obtained to date compare the accuracy of the proposes system relative to the current system, which uses instrument grade accelerometers. Results obtained to date on the tendon reveal the degree to which the PCB interferes with the measurements, and suggest possible modifications to improve future designs. Conclusion: To attain valid shear wave tensiometry data, further iterations of the flexible PCB design are needed. Moreover, employing more powerful microcontrollers capable of accommodating the requisite sample rates is necessary for an improved system.

Mechanical to Electrical Energy Conversion of a Door Swing

Authors: Spencer Brown, Shawn Pepper, Carson Draughon, Ulises Thornock, Dustin Shipp. Mentors: Dustin Shipp. Insitution: Utah Valley University. In the shadow of the 2021-2023 global energy crisis, the need for alternative sources of energy has reached an all time high. To combat this, we have developed a prototype method of harvesting kinetic energy from a door swing, converting that energy into electricity, and storing it inside a battery for future use. Our experiments have demonstrated the capability to use the energy from one door to charge a cellular phone, but we believe this method could be applied on a much larger scale. In this poster we will discuss the method, design, and measurements from our device, as well as possible future applications.

Meditation and Survival: Connections Between Humanity and Nature

Authors: Reagan Wexels, Lauren Davis, Mason Peterson, Oliver Swanson, Rebekah Story, Julie Johnson Pynn, . . Mentors: Julie Johnson Pynn. Insitution: Southern Utah University. Environmental identity may affect an individual's pro-environmental behaviors, along with their association with the world around them (Clayton et al., 2021.) This concept demonstrates how people act according to their personality and values in relation to the natural world (Wesolek, 2020.)The degree of connection that an individual feels can be measured by the Connectedness to Nature Scale (Mayer et al., 2004.) The purpose of this study is to better understand the effect of Peter Kahn’s technological nature (2011) on people's connection to nature. We hypothesize that mindfulness meditation, which utilizes technological nature, will increase the connection to nature experienced by the participants in comparison to wilderness survival instruction utilizing technological nature. Research has established a link between mindfulness and an individual's connection to nature (Adventure-Heart et al., 2017.) Results will be forthcoming. The proposed study is important, because many people feel less connected to nature than ever. Understanding how to reconnect with the environment will allow greater access to the benefits of doing so.

Meta-Analysis Of 58 Human RNA-seq Datasets To Predict Mechanisms and Markers for Resistance in ER+ Breast Cancer Treated with Letrozole (an aromatase inhibitor)

Authors: Brett Pickett, Lincoln Sutherland, Jacob Lang. Mentors: Brett Pickett. Insitution: Brigham Young University. Introduction: Breast cancer is one of the most prevalent types of cancer present in society today, and is the second leading cause of cancer death for women. Approximately 13% (1 in 8) of women will develop invasive breast cancer, with 3% of women (1 in 39) dying from this type of cancer. Three important classifications used when formulating a treatment plan for breast cancer are the presence or absence of Estrogen Receptor (ER), Progesterone Receptor (PR), or Hormone Receptor (HR). Treating Estrogen Receptor Positive (ER+) breast cancer with aromatase inhibitors, such as Letrozole, is the current standard treatment for all postmenopausal women. A prior study by Lee et. al. identified PRR11 as the only gene that was significantly overexpressed in resistant vs non-resistant cancers among the 51 genes in chromosome arm 17q23. The goal of the current study is to perform a secondary analysis of this valuable dataset to identify genes, signaling pathways, and biomarkers across the whole human transcriptome that are significantly associated with treatment resistance in ER+ patients.Methods: We retrieved, preprocessed and analyzed 58 ER+ breast cancer samples from patients who had been treated with Letrozole, which are publicly available in the NCBI Gene Expression Omnibus (GEO) database. The Automated Reproducible MOdular Workflow for Preprocessing and Differential Analysis of RNA-seq Data (ARMOR) was used to process our data downloaded from NCBI. This workflow trimmed low quality reads from the RNA-sequence reads, mapped and quantified our data to generate a DEG list. Gene ontology enrichment with camera was also performed. Next, the genes were mapped to common gene identifiers and input to the signaling pathway impact analysis (SPIA) algorithm to identify intracellular signaling pathways that were enhanced by our DEGs. With that information, Pathway2Target was used to identify known drug targets within our identified pathways. Finally, a decision tree-based machine learning approach was used to predict features/expressed genes that could be used to most accurately classify responders vs nonresponders to Letrozole. Results: Our comparison of 36 responders versus 22 non-responders detected a total of 18,735 genes and identified 105 that were statistically significant (p-value < 0.05) after applying a false-discovery rate (FDR) correction, including SOX11, S100A8/S100A8, and IGLV3-25. We then used the Signaling Pathway Impact Analysis (SPIA) algorithm to determine whether any known intracellular signaling pathways were significantly enriched in DEGs (Bonferroni-adjusted p-value < 0.05). This analysis identified 4 pathways that were statistically significant in Non-Responders to Letrozole Treatment. We then used the pathway results to predict 60 existing therapeutic targets that could be repurposed to treat the resistance phenotype. Notably, the predicted targets for the non-response phenotype included VEGFA, a current target for solid tumors as well as ESR1, an Estrogen Receptor. We next wanted to determine whether we could predict transcriptional biomarkers that could aid with identifying patients that do not respond to treatment. To do so, we used the read counts for all samples as the input for this analysis and identified 278 transcriptional biomarkers. Performance metrics for all biomarkers identified yielded an area under the receiver-operator characteristic (AUROC) curve of 0.972 (Figure 2), indicating an exceptional ability to classify Letrozole responders vs non-responders by the transcriptional profile. Sensitivity for all transcriptional biomarkers was measured at 100%, and specificity at 94%. We used the top two biomarkers from our first analysis as input for a second analysis to determine the performance of a smaller subset. Our second analysis determined that PRDX4 and E2F8 together yielded an AUROC of 0.823 and an overall accuracy of 88.2%. Discussion:Our results identify additional DEGs, pathways, targets and biomarkers for further exploration in the treatment and categorization of ER+ breast cancer.

Meta-analysis of Eddy Current Braking Systems

Authors: John Walton, Mason Astill, Jarrett Nelson. Mentors: Dustin Shipp. Insitution: Utah Valley University. Our research group is working to create a meta analysis of the variables that affect the efficiency of eddy current braking systems. We are making a track to accelerate marbles made from different non-ferromagnetic materials down an incline, through a photogate to get its initial velocity, then through a solenoid. We are testing several metals for the marbles and solenoids driven by alternating current with different frequencies. The marble after passing through the solenoid will have its new velocity recorded, allowing us to determine the deceleration experienced by the marble.

Meta-Analysis of Success Determining Factors of Healthcare Innovations

Authors: Barry Gyman. Mentors: Cody Reeves. Insitution: Brigham Young University. The purpose of this paper is to qualify and analyze the leading driving forces in determining the success of healthcare innovations in a variety of subspaces in the healthcare industry. Health is one of the largest markets in America and is almost universally relied upon. As the systems and technologies of healthcare are innovated and improved upon, the quality and efficiency of this care stands to increase, potentially benefiting both those who provide care, those who receive care, or both. The healthcare industry offers a plethora of niches needing innovating and the potential of high economic return for the producers, and yet only a small portion of innovations are adopted and successfully integrated with some areas having a failure rate approaching or exceeding 90% (Sun et al., 2022)(Jacobs et. al, 2015). What propels these few successful innovations towards adoption that so many other innovations fail to achieve? Through the analysis of dozens of papers researching success robustness in various healthcare fields, such as pharmacology and technological innovation, we will summarize the data in search of shared commonalities among successful innovations. Sun, D., Gao, W., Hu, H., & Zhou, S. (2022). Why 90% of clinical drug development fails and how to improve it?. Acta pharmaceutica Sinica. B, 12(7), 3049–3062. https://doi.org/10.1016/j.apsb.2022.02.002Jacobs, S.R., Weiner, B.J., Reeve, B.B. et al. Determining the predictors of innovation implementation in healthcare: a quantitative analysis of implementation effectiveness. BMC Health Serv Res 15, 6 (2015). https://doi.org/10.1186/s12913-014-0657-3

Methods for assessing Ephydra gracilis populations across Great Salt Lake

Authors: Cora Rasmuson, Carly Biedul, David Herbst. Mentors: Carly Biedul. Insitution: Westminster College. Great Salt Lake (GSL) is a unique ecosystem known for its elevated saline conditions, supporting diverse biological communities. However, GSL's vital habitats for birds and invertebrates are diminishing due to climate variability and water diversions. The keystone species, Ephydra gracilis, known as brine flies, is central to this ecosystem's food web.Microbialite mounds of haloarchaea, algae, and cyanobacteria sustain E. gracilis, but receding shorelines and record-low lake levels intensify salinity, reducing food sources and brine fly survivability. This decline has far-reaching consequences, as E. gracilis accounts for over 50% of the diet for 10 million migratory birds at GSL.Ongoing research is focused on refining methods for monitoring populations of Ephydra species in response to changing salinity and elevation levels. This research is vital for the preservation of the lake's ecosystem and biodiversity.

MICP-Mediated Biobrick Formation: Evaluating Urease-Active Strains

Authors: Sydney Pruett. Mentors: Roger Gold. Insitution: Southern Utah University. Microbiologically Induced Calcite Precipitation (MICP) presents an innovative avenue for sustainable construction and environmental remediation. This biogenic process leverages the enzymatic hydrolysis of urea by microorganisms to generate calcium carbonate crystals, offering a green alternative with carbon sequestration potential, enhanced structural durability, and self-healing capabilities. Sporosarcina pasteurii is currently the predominant microorganism employed in biobrick production due to its notable urease activity. This study endeavors to assess the MICP potential of less explored bacterial strains with comparable urease activity levels. The strains under investigation include Sporosarcina ureae, Bacillus sphaericus, Bacillus thuringiensis, Bacillus cereus and Bacillus stearothermophilus. Additionally, we aim to shed light on the viability of these alternative microorganisms for MICP applications, contributing to a broader understanding of this promising technology's adaptability and potential implications for sustainable construction practices.

Microbiome of PCB Contaminated Sediments

Authors: Jerzee Findlay, Gina Fuller. Mentors: Katrina Twing. Insitution: Weber State University. Polychlorinated Biphenyls (PCBs) are toxic chemicals which were popularly used in electrical manufacturing companies from the 1930s - 1970s and are known to cause significant health concerns for humans even today. These have also been termed “forever chemicals” due to their ability to bind to sediments and soils, which results in difficulties with removal or degradation in contaminated environments. One site of widespread PCB contamination is Pittsfield, Massachusetts, where improper disposal of industrial waste by a General Electric plant has led to chronically contaminated rivers and ponds, even decades later. The aim of this research project is to learn more about the microbial communities that coexist with these toxic forever chemicals, hoping to find evidence that they can degrade PCBs through metabolism. This specific study within the project focuses on microbial diversity of sediment samples collected from the contaminated Woods Pond, located downstream of the Pittsfield General Electric plant.: We performed DNA extractions, PCR amplification, and 16S rRNA amplicon sequencing on an Oxford Nanopore MinION DNA Sequencer. Preliminary data suggest that the samples contain genera known to be associated with PCB degradation, such as Paenibacillus, Clostridium, Rhizobium, and Sphingobacteria. With this understanding, future efforts aim to evaluate the ability of these environmental bacteria to degrade PCBs.