P01. “Vehicle Routing Problems with Pickup and Delivery”
Student Presenter: Brady Andrews
Mentored by: Dr. Gregory Tanner
AbstractThis project explores Vehicle Routing Problems with Pickup and Delivery. Vehicle Routing Problems (VRP) are optimization problems that find the most cost-effective route to reach a set of desired locations given a set number of vehicles. VRPs with Pickup and Delivery introduce the requirement that the vehicle traveling to a location must be carrying the product(s) desired at that location. This project aims to use best practices in VRPs with Pickup and Delivery to develop a solution for the transportation needs at RDO Equipment in Moorhead. The main challenge with determining an optimal solution is the large number of variables introduced to represent each product. Thus, many of these best practices involve heuristics strategies such as genetic algorithms and simulated annealing to achieve near-optimal solutions that are computationally viable. Additionally, the standard algorithms may require further modifications to match restrictions specific to RDO Equipment’s standard practices. A successful final product would result in a determining a near-optimal route that that improves the efficiency of product transportation for RDO Equipment.
P02. “Climate Migration in Central Asia: A Gendered Vulnerability Trap”
Student Presenter: Tony Berndt
Mentored by: Dr. Jenn Sweatman
AbstractClimate change is one of the most significant issues facing the world today, driving resource shortages, environmental collapses, human health crises, and significant displacement of human populations. Focusing on Central Asia as a vulnerable region to the effects of climate change, this poster presentation asks how Central Asia’s climate migrants are impacted by political and economic circumstances around them. Does this impact vary across gender? This poster presentation argues that climate change is a primary driving force in intraregional migration, through agricultural failures and impacts on human health due to extreme heat, changes in precipitation and water availability, and natural disaster. This migration, separated into gendered climate migration and nongendered climate refugees, maintains an economic vulnerability trap, in which those who stay in the inhospitable sending state with failing agriculture are increasingly dependent on economic remittances sent from migrants in states facing political and economic challenges, such as Russia, reducing the stability and predictability of sending remittances from receiving states to networks in sending states. This project utilizes quantitative data to advance a theoretical argument grounded in political migration theory. Drawing on measurements and indices from international organizations, this project synthesizes data and trends across the five states of Central Asia (Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan) since their creation with the dissolution of the Soviet Union in 1991. This project aims to demonstrate the disparity in gendered impacts of climate change through a migration lens.
P03. “Eyes on the Hunt: Sclerotic Ring Variation in Raptors”
Student Presenters: Bridget Danielson, Serena Middendorf
Mentored by: Dr. Joseph Whittaker
AbstractRaptors possess specialized visual adaptations that allow them to detect prey at great distances while maintaining the ability to focus on nearby objects. One feature associated with this capability is the sclerotic ring, a bony structure within the eye that supports the globe and contributes to visual function. Despite differences in hunting strategies and lifestyles among raptor species, all possess this anatomical feature. In this ongoing project, we are analyzing sclerotic rings from multiple raptor species and comparing their structural characteristics. Our goal is to determine whether differences in predatory behavior, and the ways in which species rely on vision, are associated with variation in sclerotic ring morphology. Thus far, we have collected eye diameter measurements from nine pairs of eyes and measurements of entire sclerotic ring diameter, interior diameter, and ring depth from four pairs of eyes. As additional data are collected, we anticipate identifying trends that may link sclerotic ring morphology with ecological lifestyle. In particular, we predict that species that rely heavily on long-distance vision will exhibit relatively deeper sclerotic rings.
P04. “Bat Detection in Minnesota Urban and Rural Areas Using AudioMoth Recorders”
Student Presenters: Makena Hedlund, Delia Denis, James Rende
Mentored by: Dr. Joseph Whittaker, Dr. Mike Bush
AbstractWith the rise in white-nose syndrome affecting the populations of bats, it is important to understand how frequently bats are being detected in an area. Knowing this frequency can aid in preserving and restoring habitats in which bats routinely use. This allows us to identify where bats live, hunt, and where white-nose syndrome would most likely spread. Mist netting is a common way to capture and identify bats in an area. However, this method is time consuming, stressful for bats, and requires specific, hard to get permits. Bat detectors, like mist netting, can also collect data regarding species richness This method collects identification calls instead, and does not interfere with or distress the bats. This is achieved using AudioMoths, a recording device that detects bat echolocation. Bat echolocation has specific “swoops” that we can convert and visualize on spectrograms. Ultrasonic sound detectors collect bat call data, including social and feeding calls. This research helps to quantify bat calls in different landscapes in the greater Fargo/Moorhead areas. Acoustic recorders were placed at five locations, simultaneously, with differing landscapes across Clay County, Minnesota. They recorded from 8:30 p.m. to 7:00 a.m. for three nights for two weeks until frost occurred. The data collected suggests that location is a factor in determining the density of bat calls. The results suggest bat calls are denser in rural, forested areas near water in comparison to urban areas. This information provides insight into what environments to focus on in conservation to best help support bat populations.
P05. “Bat Detection Using Machine Learning”
Student Presenter: Sam Bolger
Mentored by: Dr. Gregory Tanner
AbstractStudying bat populations using audio recordings creates a huge data problem because most recordings are just noise like wind, rain, or insects. Going through all of that by hand is not realistic, so this project focuses on building a system that can automatically detect when bats are present in the recordings. The goal of this project is to develop a machine learning model that can classify audio as either bat or no bat. The main idea is that combining signal processing with a convolutional neural network can make accurate predictions while saving a lot of time compared to manual review. To do this, long audio recordings were broken into smaller clips and converted into spectrograms that show frequency patterns in the 18 to 80 kHz range where bat calls occur. These spectrograms were used as input for a MobileNetV2-based model trained on labeled examples of bat calls and background noise. The dataset was built through both automated filtering and manual verification to improve data quality. The final model performs very well on real-world recordings and is able to identify bat activity even in noisy conditions. This system makes it possible to process large amounts of audio data efficiently and helps make long-term bat monitoring more practical and scalable.
P06. “We’re Just Here for the Food: Organizational Behavior in the Food Industry”
Student Presenters: Erik Marchesano, Bailey Plante, Brody Fischer, Carson Hutton, Kate Stephens
Mentored by: Dr. Shontarius Aikens
AbstractBehind every customer experience in the food industry are frontline employees working under fast-paced and often high-pressure conditions. The food industry is a demanding environment where employee performance plays a critical role in overall organizational success. However, many workplaces in this sector face ongoing challenges such as high stress, poor communication, ineffective leadership, and high employee turnover. This study examines how key organizational behavior factors (including motivation, leadership, communication, stress, trust, fairness, work design, feedback, rewards, and turnover) affect employee performance and retention in the food industry. It is hypothesized that demanding work conditions and limited rewards reduce motivation, while strong leadership, clear communication, and fair treatment improve employee performance and retention. To explore these relationships, this study will use qualitative interviews with managers from restaurants, food service companies, and food retail organizations. The responses will be analyzed to identify common themes and evaluate how well they support the proposed hypotheses. The anticipated results suggest that high stress, poor communication, and ineffective work design contribute to employee dissatisfaction and higher turnover rates. In contrast, effective leadership, consistent feedback, and meaningful rewards are expected to improve motivation and performance. Overall, this study provides practical insights that can help managers improve employee experiences, reduce turnover, and enhance performance within the food industry. Keywords: food industry, organizational behavior, employee motivation, leadership, turnover, workplace stress.
P07. “Analysis of the Construction Industry”
Student Presenters: Katelyn Gulbranson, Hannah Corbin, Ben LaPard, Tucker Skime, Isaac Sisneros
Mentored by: Dr. Shontarius Aikens
AbstractFor this project, based on our understanding of the industry, we created a “top 10 hypothesis list” that our team believes are the top 10 issues of concern for managers within the construction industry. This list includes communication, decision making, leadership, trust, company culture, ethical behavior, motivation, performance, cohesion, and goal setting. To validate our initial top 10 hypotheses list, our team will analyze real workplace examples, review Organizational Behavior concepts from our book and academic sources, and gather feedback from individuals with management experience to determine which issues most strongly impact organizational success. Our research process includes each team member conducting five face-to-face interviews with members who work closely with and in the construction industry. The questions used in the interviews ranged from management styles to industry challenges, with the intention of maximizing the information received from the interviewees. Using this information we gather from the 25 interviews, our team will reassess the rankings of our list, so the final list accurately represents the most important concerns managers face in real life scenarios rather than relying only on initial assumptions. We suspect our list will change in order, but not necessarily in content. Our overall goal is to gain a deeper insight at a management level into how the construction industry specifically leads their teams in the workplace.
P08. “OB in the retail world”
Student Presenters: Enricco Rolle, Alex Kriesel, Maxton Meyer, Isaiah Schmitz
Mentored by: Dr. Shontarius Aikens
AbstractThis study explores key organizational behavior challenges within large and small retail organizations, with a focus on employee retention, motivation, and performance. Increasing job complexity, diverse workforces, and high turnover rates make it essential to understand how factors such as job satisfaction, leadership, communication, workload, and organizational justice influence employee attitudes and behaviors. This research argues that improving these organizational behavior factors is critical to enhancing employee engagement and overall performance. Using a framework based on individual, interpersonal, and organizational processes, this study develops ten hypotheses related to common workplace issues, including career advancement opportunities, scheduling fairness, leadership effectiveness, team dynamics, and training and development. A qualitative research approach will be used to evaluate these hypotheses through structured interviews with managers in various roles. This method allows for direct insight into real-world management challenges and supports comparison between theoretical concepts and practical experiences. Anticipated findings suggest that high employee turnover is strongly associated with limited advancement opportunities, unfair scheduling practices, and excessive workload. In contrast, supportive leadership, clear communication, and effective teamwork are expected to improve employee engagement and job performance. Results may also indicate that while performance-based rewards can increase short-term productivity, long-term motivation depends more on job satisfaction and organizational support. Overall, this study provides practical insights into how organizational behavior strategies can reduce turnover, improve employee satisfaction, and strengthen performance outcomes.
P09. “The Evolution of TCavProductions”
Student Presenters: Trenten Cavanes, Jordan Petron
Mentored by: Heather McDougall, J.D.
AbstractThis presentation explores the transformative journey of TCavProductions, detailing the strategic pivot from a small startup to an accelerated production business. By examining the “before and after” of a critical capital addition, we provide a roadmap for how targeted funding can bridge the gap between creative potential and market presence.The initial phase of TCavProductions was defined by resourcefulness and high-quality output restricted by low-visibility. The primary challenge was the ability to reach a broader audience. Growth was organic but slow, as most energy was spent on production rather than strategic outreach or professional-grade marketing. In early 2025, TCavProductions was awarded funding by the Cobbertunity Fund, which served as the primary catalyst for the company’s next chapter. The funds were strategically allocated toward advertising materials and professional branding assets. This allowed the business to finally project an external image that matched the internal quality of its productions. The presentation reflects on the dual nature of this growth: Quantitative Growth: We analyze the statistical surge following the investment, including increased client acquisition and individuals reached. Qualitative Growth: Beyond the numbers, the grant facilitated a shift in entrepreneurial mindset. This section reflects on the professional maturity of the brand and the personal evolution of the founder, moving from a “freelancer” mentality to a “business owner” perspective. Ultimately, this session demonstrates how the Cobbertunity Fund didn’t just buy materials; it bought the bandwidth to scale, the tools to compete, and the confidence to lead in a crowded production marketplace.
P10. “The Ethnographic Essay”
Student Presenters: Gigi Graham, Tyler Kraft, Kai Black, Mia Morones
Mentored by: Dr. Karla Knutson
AbstractEthnographic field research is a method used to gain a deep understanding of a particular group or culture. This can be done through participant observation, as well as engagement through interviews. By documenting everyday interactions and special occasions, ethnographers help outsiders understand these communities. The main purpose of an ethnography is to share this insight through a written article, essay, or book. Ethnographic research has a large range of ways it can impact communities. Businesses use field research to observe how people interact or respond to products; in other fields, ethnographic research is used to highlight overlooked and sensitive communities. This leads to greater social awareness and sometimes change in policy. Even unethical research practices can shape the way we practice research ethics. It is important to avoid approaching data with an expected outcome. This leaves researchers close-minded. Instead, researchers must remain open and allow patterns to emerge naturally. Even though there is not one way to conduct field research, there is generally a pattern: select a community or setting, take quick notes of observations or interviews, expand those into “fieldnotes”, identify recurring themes, and reorganise according to themes. This reorganised version of fieldnotes can be used to analyse data or as a draft of what will be published. While there is no one universal methodology, different groups or cultures require different levels of attention and observation. Part of the researcher’s job is determining this level of need in order to understand their communities on a deeper level.
P11. “The Impact of Grief and Loneliness in Older Adults in Assisted Living Homes”
Student Presenters: Hailey Cloutier, Reese LaRocque, Ceci Buzzeo, Sam Lindsay
Mentored by: Dr. Phillip Lemaster
AbstractGrief and loneliness, and their coping mechanisms, are underexplored issues amongst older adults in assisted living homes. In this literature review, we investigated the factors influencing grief and loneliness: spousal death, loss of family and friends, and lifestyle changes such as physical loss and loss of independence. All of these aspects can severely impact an individual’s physical, emotional, and psychological well-being. The average stay in an assisted living facility in the U.S. is 28 months (Jain et al. 2021); many residents during this time experience symptoms of depression and grief due to losses, loneliness, or other factors. The death of a spouse can cause difficulty sleeping, weakened immunity, hypertension, cardiac issues, depression, anxiety, and increased risk of mortality (Conlon & Aldredge, 2013). With depression, suicidal thoughts occur at rates between 5-33%, and themes preceding suicidal thoughts are often personal loss, loneliness, and loss of control (Jain et al. 2021). Coping strategies must be implemented because of the high levels of grief, loneliness, and depression within assisted living homes. It has been found that many assisted living facilities have brought about good coping skills/strategies that have helped individuals get through their grief or loneliness. Some of the effective strategies that have emerged are spirituality, social support, and self-care, which have all been key factors in improving an individual’s stay and care in assisted living. The grief and loneliness that persist in this underrepresented group is an important topic to examine due to the impacts it brings upon older adults.
P12. “Importance of Autonomy in Older Adulthood”
Student Presenters: Lauren Bangs, Sydney Kostman, Genevieve Gruba
Mentored by: Dr. Philip Lemaster
AbstractLife expectancy is increasing every year, meaning that understanding how to maintain autonomy and quality of life among older adults has become increasingly important. Autonomy is the ability to make independent choices and maintain control over one’s life. Autonomy plays a huge role in an older adult’s identity, dignity, and well-being (Gobillot et al. 2025). Research has proven that autonomy is influenced by many biological, social, and environmental factors that come with aging. An example includes age-related physiological changes such as declining autonomic nervous system, which can negatively impact a person’s health, increasing vulnerability to cardiovascular disease or cognitive disorders (Alrosan et al., 2024). Additionally, chronic conditions and functional limitations have been seen to be associated with lower quality of life among the older generations (Wilk et al., 2024).This presentation strives to review current research on autonomy and quality of life in aging populations. We plan to examine how autonomy goes beyond physical independence to include a person’s identity and meaningful decision-making in daily living (Heide, 2022). We will be discussing health and lifestyle factors that can influence a person’s autonomy, which includes things like physical activity, nutrition, and disease prevention. Those factors are important for maintaining function in aging populations (King & Guralnik, 2010; Payette, 2005). We can also evaluate environmental and social influences like person-centered care and supportive relationships specifically in assisted living or nursing homes. These have been proven to show an increased sense of control and well-being (McCabe et al., 2021; Moilanen et al., 2020).
P13. “Moorhead Community Homelessness Awareness Study”
Student Presenter: Gannon Brooks
Mentored by: Dr. Daniel Biebighauser
AbstractThose that suffer from homelessness are met with stereotypes from the public that convey individuals as responsible for their situation through personal reasons such as drug and alcohol abuse or unwillingness to work. This study examines community perceptions of homelessness in Moorhead to evaluate how they align with common stereotypes towards homeless populations. My main argument is that increasing awareness of structural issues like housing affordability and access to services can help reduce harmful stereotypes. My data was collected through a community survey and an interview with a nonprofit leader working in homelessness and poverty reduction initiatives. The survey results show that respondents most frequently identified drug and alcohol abuse as the major reason that people fall into homelessness. Additionally, 86% of participants believed that Moorhead lacks sufficient services for individuals experiencing homelessness, and 60% suggested increasing available housing, support systems, and services. During my interview with a leader from United Way, Taylor Syverston, systemic factors like lack of affordable housing and economic instability are the primary drivers for homelessness. She also commented on how detrimental common public misconceptions can be to those suffering from homelessness. Survey findings show that community awareness of structural factors is strong, but stereotypes persist. Addressing these misconceptions through education and community engagement can improve both public perception and local responses to homelessness.
P14. “Housing Instability, Youth Homelessness, and Juvenile Recidivism”
Student Presenter: Oliver Fluegel-Murray
Mentored by: Dr. Michelle Lelwica
AbstractThis research critically analyzes housing instability as one of the strongest predictors of juvenile recidivism. Drawing on scholarly research, this project highlights the siloing of youth homelessness services and reintegration programs, which, unintentionally yet needlessly, discharge countless young people into unsafe or unstable living situations. It also explores how expanding the scope of housing stability in juvenile justice aftercare would enable the youth justice system to reduce both homelessness and recidivism simultaneously. Engaging an interdisciplinary, outcome-oriented framework, this project integrates research on juvenile justice, homelessness policy, and ethics, drawing on existing literature, public data, policy reports, and program materials. It reviews local and national research on the reciprocal relationship between homelessness and justice involvement, examines Transitional Living Programs (TLPs) as intervention models, and uses programs and organizations operating in Clay County, Minnesota, such as CLIPS and YouthWorks, as case studies to envision a more effective housing-centered juvenile re-entry system. Comparing and contrasting the goals, means, and outcomes of services exposes the structural gaps in coordination. Ultimately, my research reveals that housing functions as a crucial stabilizing factor in reducing recidivism and improving general outcomes like employment, education, and subjective well-being. It further posits that programs like CLIPS show significant promise and that direct partnership with local TLPs could help distribute the burdens of re-entry support while improving the overall efficacy of community-based housing systems. It concludes by advocating that juvenile justice systems should approach housing as a core re-entry need, recommending interorganizational collaboration, expanded transitional living, and housing-centered discharge planning.
P15. “Connections Between Wake Episodes, Mental Health, Diet, and Cognitive Function in Older Adults with Overweight or Obesity”
Student Presenters: Emily Rengo, Naima Sharif
Mentored by: Dr. Betsy Cogan
AbstractIntroduction: Mental health conditions and poor sleep amplify health risks in those with obesity. However, links between health and specific sleep metrics are less understood. We aim to explore the relationship between these measures in aging adults with overweight or obesity. Methods: Older adults with overweight/obesity (avg age=59.5±5.9y; avg BMI=28.9±2.2 kg/m2) completed a 3-day food record and sleep questionnaires to determine dietary intake, number of wake episodes (WE), and wake after sleep onset (WASO). Surveys assessing psychosocial function were also completed. Cognitive function was assessed using the Montreal Cognitive Assessment Scale (MoCA). A Pearsons correlation analysis was used to analyze links between sleep and other outcomes. Results: Ten participants were included in the analysis. There were positive correlations between WASO and protein intake (r=0.65, p=0.04). Higher WE was associated with greater energy intake (r=0.69, p=0.04), higher Beck’s Depression Index score (r=0.70, p=0.02), greater in-the-moment anxiety assessed by the State Trait Anxiety Inventory (r=0.88, p=0.05), and obesity-related psychosocial impairment assessed by obesity-related problems scale (r=0.71, p=0.02). Poor cognitive performance on the verbal fluency task was associated with higher WE (r=-0.76, p=0.01). Health metrics including body mass index, body fat percentage, blood lipids, glucose, and inflammatory markers were not correlated with WASO or WE. Conclusion: In our sample, disturbed sleep, marked by greater WASO and WE, was associated with poorer mental health and cognitive function. More research is needed to further clarify the links between sleep, diet, and cognition in this population due to our small sample size.
P16. “2QRU: What Could it Possibly Do?”
Student Presenters: Dawson Fleck, Jordan Nicholson, Max Baumgartner
Mentored by: Dr. Julie Mach
AbstractAdvances in large-scale structural genomics initiatives, particularly the Protein Structure Initiative, have dramatically increased the rate of protein structure elucidation. Despite this rapid growth in structural information, determining protein function remains a major challenge. Functional characterization is essential for understanding enzyme systems in organisms and for identifying proteins that may be useful in biotechnology and pharmaceutical development. The protein 2QRU, isolated from Enterococcus faecalis, has a resolved structure but an unknown biochemical role. E. faecalis is part of the normal human microbiome, found primarily in the large intestine, assumed to aid in the digestion of simple sugars, glycerol, and some lipids. During the Spring 2026 semester, the potential function of 2QRU was investigated using a combination of bioinformatic analysis, artificial intelligence-based structural tools, and wet-lab experimentation. Comparative sequence and structural analyses were performed against homologous proteins in the Protein Data Bank. These analyses suggest that 2QRU belongs to the enzyme subclass EC 3.1.1, corresponding to carboxylic ester hydrolases. Structural similarity to known enzymes within this group indicates that 2QRU likely functions as an ester-hydrolyzing enzyme, although the exact substrate is currently unknown. Ongoing activity assays are expected to confirm this predicted activity and further determine the specific enzyme type within the EC 3.1.1 subclass, and potential regulatory mechanisms.
P17. “3FEQ: Strength in Numbers (All 16 of Them)”
Student Presenters: Luke Brendefur, Tyler Winterrowd
Mentored by: Dr. Julie Mach
Abstract3FEQ, a functionally unknown protein, has a scientifically proven structure. Using a variety of databases, a function was proposed for its enzyme activity. Bioinformatics programs compared amino acid sequences to known functional domains, to elucidate the function of 3FEQ. A TIM-Barrel Structure was identified in the structure of 3FEQ. The enzyme is proposed to be a hydrolase enzyme in the ECEC class 3.5.1. A search in the FoldSeek Database provided us with structures of homologous proteins, 4C60 and 8HIS, both of which were compared to 3FEQ to discover its active site. We hypothesize that 3FEQ is an ochratoxinase similar to 4C60 and 8IHS. Ochratoxinases break the linear amide bond of Ochratoxin A. Ochratoxin A is a mycotoxin which is produced by certain fungi, like Aspergillus and Penicillium. This mycotoxin is a big contributor to food contaminants in agricultural products which can cause major health risks around the globe. Ochratoxin A can suppress the immune system and is a carcinogen. With 3FEQ being found in the Sargasso Sea, the humid and warm conditions are perfect for Ochratoxin A to thrive. The residues in 3FEQ that are involved in the active site and metal coordination of Zn2+ ions were proposed based off similar amino acid residues on 4C60 and 8IHS. Further work in purification and specific ligand assays is planned to support the hypothetical function of 3FEQ.
P18. “Cra-Z Chromatography: Bringing Dye Analysis from Washable Markers to the General Chemistry Lab”
Student Presenters: Lily Heskin, Steya Tian
Mentored by: Dr. Graeme R. A. Wyllie
AbstractThe main objective of our research was to develop a new experiment that showcases High-Performance Liquid Chromatography (HPLC) in the General Chemistry lab. Previous experiments relied on extraction and analysis of food dyes from samples of Skittles. In recent years, artificial food dyes have faced scrutiny and are at risk of removal from the market. Our experiment aimed to find a viable substitute replacing the candies with the dyes from washable markers. A range of commercially available markers were investigated through Thin Layer Chromatography (TLC), UV-Vis spectroscopy, and HPLC analysis to identify the dyes within them. We created a database containing a breakdown of the dyes found in a regular box of twenty markers, several of which contain multiple dyes. We found some of the markers contained one or more standard food dyes (Blue 1, Yellow 5, Yellow 6, Red 40, Red 3), whilst many contained different unknown dyes. From here, we researched dyes from the Food and Drug Administration (FDA) Regulatory Status of Color Additives database to determine the identities of several of these unknown dyes. From these data, we selected twelve viable Cra-Z-Art markers for General Chemistry students to analyze. Suitable experiments were developed which allowed students to effectively identify and quantify dyes in one of these markers. Results in our research were compared with those obtained by the students from the Fall 2025 General Chemistry lab.
P19. “Variational Quantum Algorithms for Computing Excited States in Small Molecules on Near-Term Quantum Devices.”
Student Presenter: Abdihakim Adan
Mentored by: Dr. Ayush Asthana, Dr. Darin Ulness
AbstractThe Variational Quantum Eigensolver (VQE) is the dominant algorithm for electronic structure computations on Noisy Intermediate-Scale Quantum (NISQ) devices. However, its application to electronically excited states is essential for photochemistry, catalytic behaviour, and optical materials, and it poses unique algorithmic and resource challenges. This research offers a comprehensive methodology to evaluate, analyse, and enhance the leading excited-state VQE models with the goal of establishing robust pathways for chemical accuracy on near-term quantum hardware. I did a comparative analysis of three techniques: Variational Quantum Deflation (VQD), Subspace-Search VQE (SSVQE), and the Folded Spectrum method (FS-VQE). Assessed resource mitigation strategies, including Pauli grouping for measurement control and Symmetry-Preserving Ansätze (SPA) for strong correlation. Additionally, I benchmarked subspace expansion techniques like quantum self-consistent Equation-of-Motion (q-sc-EOM) versus Quantum Subspace Expansion (QSE) using H₂ and N₂ as model systems. Findings quantify a fundamental trade-off: VQD achieves enhanced sequential accuracy, while SSVQE provides greater quantum efficiency via a single optimisation. Importantly, q-sc-EOM produces reliable results when QSE does not; as the condition number of QSE’s overlap matrix rises, its errors grow, but q-sc-EOM’s identity overlap matrix protects it from statistical sampling errors. This analysis provides an essential performance hierarchy and functional toolkit for quantum computational chemists, enabling reliable excited-state simulations with chemical precision on near-term quantum processors.
P20. “From Engineered Inorganic Perovskite Colloids to 3D Printed Structures”
Student Presenter: Ashlyn Campbell
Mentored by: Dr. Saroj Thapa
AbstractPerovskite nanocrystals (NCs) are semiconductors that can be used in solar cells, batteries, and optoelectronics. Common NCs are notoriously unstable when exposed to moisture, oxygen, ultraviolet light (UV), and heat. Reducing the cost of versatile and efficient semiconductors using sustainable synthesis methods may lead to the next breakthrough in renewable energy. Various iterations of NCs were created by altering the ratio of potassium (K) to cesium (Cs) within the A-site of the NCs. After synthesis, each sample’s optical properties were analyzed with a spectrophotometer to find a baseline. Two NC variants (0% and 20% K), were suspended in transparent UV-curing resin and printed in an MSLA 3D-printer, then analyzed to determine how excitation and adsorption were affected. Through an iterative experimental synthesis method, the amount of resin suspended NCs required for 3D-printing and the compounds required for ligand assisted reprecipitation were minimized. This minimized generated waste and permitted the synthesis of fine NCs. Through CAD, custom reservoirs and print heads were designed and fabricated using PLA, laminator paper, and a pop can. This allowed for 3D-printing with only 10% of the initial required resin volume. After cleaning, spectrophotometry showed the NCs maintained optical properties and were isolated from moisture, air, and UV within the curing bandwidth. Further research should be conducted to determine the durability of this protective method, but the initial results are promising. With further exploration and refinement, a more efficient, versatile, and stable semiconductor may be possible, creating exciting new opportunities in renewable energy.
P21. “Juvenile Detention Center Staff Training in The United States”
Student Presenters: Alexandra Runyan, Gwen Lindahl, Milton Hillegass
Mentored by: Dr. Michelle Lelwica
AbstractLow level, direct-care staff in youth detention centers spend the most day-to-day time supervising and interacting with residents, but their training in evidence-based, trauma-informed practices are often less standardized, and sometimes less intensive, than the training provided to therapists, educators, or clinical teams. To address this topic we will research the history of youth detention facilities, the training of direct-care staff in different states, and current empirically supported training practices that result in an environment where youth feel seen. With this project we hope to bring awareness to the strengths and weaknesses of juvenile detention center practices in our country.
P22. “Plant Census at Henderson WMA”
Student Presenter: Liam Weis
Mentored by: Dr. Joseph Whittaker
AbstractHenderson Wildlife Management Area (WMA), located 10 miles east of Bismarck, North Dakota, is managed by the North Dakota Game and Fish (NDGF). The area was heavily invaded by Kentucky bluegrass, prompting restoration efforts beginning in 2019 to reestablish native grasses and forbs. Site preparation included a soybean and corn rotation, and in spring 2022, 100 acres were seeded with a native mix consisting of 80% grasses and 26% forbs. By fall 2022, vegetation establishment was underway and continues to be monitored under the Natural Resources Conservation Service (NRCS). The long-term goal is to maintain plant diversity through high-intensity, short-duration grazing every other year, adjusting management strategies as needed. Vegetation was assessed using plant census methods to track forb bloom timing and estimate species abundance, along with line point intercept to measure percent cover, bare ground, basal cover, and species composition. These methods provide both general and detailed data and are conducted once per growing season during peak conditions. Results from these assessments indicate a healthy and diverse plant community, suggesting that current management practices are effective. The most recent data, collected in late summer 2025, support continued use of these methods. Monitoring will continue in future seasons to ensure long-term ecosystem health and stability.
P23. “Vascular Pathway Modulation in Quercus macrocarpa Gall Development”
Student Presenters: Cael Schlauderaff, Delia Denis
Mentored by: Dr. Mallorie Taylor-Teeples
AbstractGalls are abnormal plant growths induced by diverse organisms, including fungi, bacteria, viruses, insects, and mites, and represent a striking example of cross-kingdom interaction. These structures create specialized niches that provide protection and nutrients for the inducing organism while altering host plant morphology. This study focuses on galls formed on Quercus macrocarpa (bur oak) by the cynipid wasp Bassettia flavipes. Previous work suggests that gall-inducing insects can reprogram host vascular development to support larval growth, though the molecular and temporal dynamics remain unclear. Do larvae continuously manipulate host vasculature, or is reprogramming restricted to early gall formation? To explore this, reverse transcriptase PCR (RT-PCR) primers were designed to target conserved vascular genes, using the Q. robur genome as a reference due to limited Q. macrocarpa sequence data. Arabidopsis thaliana vascular gene analogs were identified in Q. robur via BLAST. Putative orthologs of PHLOEM INTERCALATED WITH XYLEM (PXY), VASCULAR-RELATED NAC-DOMAIN7 (VND7), ACAULIS5 (ACL5), and ARABIDOPSIS THALIANA HOMEOBOX8 (ATHB8) were targeted for expression analysis. RNA extracted from gall and non-gall tissues across developmental stages was used for quantitative RT-PCR (RT-qPCR). RT-qPCR analysis revealed stage-dependent modulation of vascular gene expression in gall tissue relative to non-galled controls. This work contributes to a growing understanding of how insect effectors manipulate plant developmental programs, providing broader insight into the molecular mechanisms underlying cross-kingdom developmental reprogramming.
P24. “Crop Scouting Wheat and Soybeans in Northwest MN”
Student Presenters: Jordan Hunnicutt, Angie Peltier, Jochum Weirsma
Mentored by: Dr. Anthony Hanson, University of MN Extension
AbstractCrop scouting is a tool for assessing crops for potential risks and outcomes. Determining insect and disease presence, as well as overall plant health, in fields can guide decision making regarding insecticide and fungicide use. Scouting involved checking wheat and soybeans through observation and sweep netting. From May-July 2025, I scouted 25 wheat fields, volunteered by growers, and revisited each once in early August– a total of 125 visits, about 5 visits per field. From July-August 2025, I scouted 28 randomly selected soybean fields. Each field was visited on average once weekly. Scouting data was used to produce weekly maps that were posted online and farmers who volunteered fields received weekly emails. Aphids were the most common insect pest seen overall and were more abundant in soybeans than in wheat. However, they never exceeded the economic threshold of 250 aphids per soybean plant. The highest count was a field in Wilkin County with an average of 60 aphids per plant. This indicated to farmers that the aphid populations were a low risk and didn’t require insecticide application in 2025. Tan spot and Septoria were the most prominent diseases in wheat. These fungal diseases thrive in the wet, warm weather that occurred during the scouting period. It is evident that scouting is a useful tool for gathering diverse data and information about crops. Crop scouting can be useful for recommending pesticides when needed and avoiding use when not justified. These results demonstrate the importance of routine scouting for Integrated Pest Management.
P25. “Christian Ethics and the Transhumanist Question”
Student Presenter: Ethan Leopold
Mentored by: Dr. Michael Johnson
AbstractThis presentation is an examination of transhumanism and posthumanism as defined as the goal of moving beyond the limitations of human biology and the body, and its relationship with Christian ethics. This addresses a relevant problem in Christian ethics–whether or not attempting to surpass human biological limitations and the human body itself, as many tech elites are in favor of, is compatible with a Christian ethical worldview. Utilizing the works of philosophers, theologians, and ethicists, this presentation shows the incompatibility of this philosophy with a Christian ethical worldview
P26. “Effective & Efficient Language Learning: Analyzing the Possible Role of AI”
Student Presenters: Qwame Martin, Daniel Skrade
Mentored by: Dr. Lisa Twomey
AbstractThis research project aimed to explore whether Artificial Intelligence is a viable language learning tool. As advanced-low speakers with strong grammatical foundations, we question the most effective way to continue to improve our Spanish. For example, how to improve our spontaneous conversation skills, expand our vocabulary, improve our pronunciation/fluidity of speaking, and be able to listen and follow native speakers. Many language learners lack consistent access to native speakers and exposure to different dialects or regional verbiage, which limits conversational patterns and cultural contexts. However, AI is a tool that is easily accessible and adaptable, so we explored how we could benefit from consistent conversations with AI chatbots. We discovered that AI can serve as a beneficial language-learning tool for advanced-low Spanish learners and has the ability to simulate diverse dialects and speech styles. Our research question is “In what ways does regular interaction with conversational AI benefit advanced-low Spanish learners, including exposure to dialectal variation and verbiage?” To respond, we each spent at least 180 minutes conversing with a tutor, either a chatbot or with someone in real life. We then rated each tutoring session through a three-question 1-5 Likert scale and wrote a reflection, including how we felt about the conversation and learned vocabulary.
P27. “Effectiveness of Second-Language (L2) Learning with Aritifical Intelligence”
Student Presenters: Maggie Brown, Olivia Hanson
Mentored by: Dr. Lisa Twomey
AbstractAs AI becomes increasingly immersed in our day to day lives, specifically within education, it is important to examine its linguistic abilities, as well as its cultural knowledge. Research suggests that AI will be able to help with the technical aspects of learning a second language such as grammar, vocabulary, and sentence structure, even outperforming traditional instruction models. Evaluating limitations in its cultural competence further defines its ability to be utilized in educational settings. Our research examines the effectiveness of artificial intelligence (AI) as a tool for language and cultural learning. Using a combination of secondary research alongside personal experiences using AI Spanish tutoring, we will compare feedback that AI gives us regarding our second language abilities to achieve a deeper understanding of AI accuracy and depth. We will measure AI’s understanding of languages and cultural sensitivity. We anticipate that AI will display strength in the mechanics of language learning, but be limited in its cultural competency.
P28. “Artificial Intelligence and Cultural Understanding in Spanish Language Learning”
Student Presenter: Camila Gutierrez
Mentored by: Dr. Lisa Twomey
AbstractArtificial intelligence is increasingly prevalent in education, particularly for students learning new languages. Many students use AI tools to practice vocabulary, grammar, and writing. However, language learning is not only about grammar and vocabulary; it also involves understanding culture. Spanish is spoken in many countries, each with its own traditions, customs, and social norms. Because of this, it is important to explore whether AI can help students learn about cultural topics as well as the language itself. The purpose of this project is to examine how artificial intelligence can support students in learning about the cultures of Spanish-speaking countries. This research asks whether AI can provide helpful and accurate explanations of cultural topics for students studying Spanish. To explore this question, I will ask AI different questions about cultural topics such as holidays, food, traditions, and everyday customs in Spanish-speaking countries. The responses will then be compared with information from class materials and scholarly sources to evaluate their accuracy and depth The expected results suggest that AI can give students quick and helpful introductions to cultural topics. At the same time, the research may show that AI sometimes simplifies cultural information and works best as a support tool alongside teachers and course materials.
P29. “Artificial Intelligence and Language Learning”
Student Presenter: Isabelle Vos
Mentored by: Dr. Lisa Twomey
AbstractI am researching AI as a language learning tool outside of our classroom and its effectiveness. AI has many benefits, but I do have the basis of believing that human interaction and teaching is better in the long run for language learning. My initial hypothesis is that while AI is very useful as a personalized learning tool, there are more benefits culturally and learning-wise from learning language from humans. I think that I will find a lot of data saying how AI is very useful, but I think that the interface and cultural bias. I will be using evidence from the class discussions of our tutoring with AI as well as my own experiences. In addition, I have found multiple scholarly articles with data that I will also be using. The scholarly articles will give an academic perspective with numerical and experimental evidence while the experiences from myself and the class will give a human example of the ideas discussed in the articles.
P30. “Representación de la Cultura en Inteligencia Artificial”
Student Presenter: Gwendolyn Lindahl
Mentored by: Dr. Lisa Twomey
AbstractAI’s grasp is becoming global, but does its algorithms realistically reflect the deep nuance of culture and society? During weekly “Spanish tutoring” interactions with Chat GPT I’ve asked it to assume the roles of different women from Latin American countries and noted the responses it gives to culturally significant questions. This information, combined with other research on Chat GPT’s ability to portray culture has inspired me to create an artistic depiction of my interaction with AI. It takes the form of a portrait with many features but no cohesive personhood. This piece is portrayed alongside art I have asked AI to generate based on our interactions for comparison. Through these portraits I argue that while AI can provide a surface level understanding of different cultures, it will never be able to capture the experience of sharing a learned language with a native speaker.
