About me
Poster Presentation Abstracts Session #2
1:00 to 2:00 p.m. Thursday, September 4, 2025
Location: SUB Bottom Floor Atrium
These abstracts were published undedited to reflect the author’s original submission.
Aguayo, Jessica - Major: Astronomy, University of Arizona
Mentor: Dr. Kevin Hainline, Associate Research Professor, Steward Observatory
Member of the Graduate Faculty, Department of Astronomy
Title: Stars and Black Holes: Exploring the Fitting of AGNs in Galaxies at z~2-3
Abstract: Galaxies change over time as stars are formed from dense, cold gas. One way in which star formation in a galaxy can be disrupted is if the gas that forms stars is heated by supernovae or the light emitted from Active Galactic Nuclei (AGNs). An AGN is a bright central region of a galaxy that can dominate the light of a galaxy as gas and dust falls onto a growing supermassive black hole. AGNs showcase why star formation can be disrupted, which will give insight into the history of the Universe. The goal of this research project is to identify galaxies 9 billion years in the past that have evidence of an AGN. One indicator of AGN activity is via observation of excited ionized gas, like doubly ionized oxygen ([OIII]), although this can be excited by young stars in some galaxies. We have searched for this oxygen emission by looking at galaxy’s light in multiple filters and constructing a spectral energy distribution (SED). SEDs help us understand a galaxy’s star formation rate as well as evidence for an AGN using galaxy modeling. We used observations from the James Webb Space Telescope (JWST) to explore a sample of galaxies from 2-3 billion years after the Big Bang with strong [OIII] emission observed from imaging. We generated SEDs for our sample and used Code Investigating GALaxy Emission (CIGALE) to explore whether each galaxy required the additional light from an AGN. Our results showed that only 14 sources with mid-infrared filters have evidence from their SEDs of containing an AGN.
Bartlett, Landon - Major: Psychology , Grand Valley State University
Mentor: Dr. Naomi Aldrich, Associate Professor , Psychology
Title: The Role of Deservingness and Social Status in Shaping Envy and Attitudes Toward AI
Abstract: Envy is a negative emotion tied to wanting what another person has. As a by-product of evolution, it helps individuals cope with comparisons to those of higher status. While envy can arise from both objective (material wealth; OSS) and subjective (social respect; SSS) status, research suggests SSS evokes more frequent and painful (i.e., malicious) envy—especially when the higher-status individual is seen as undeserving. In today’s AI-driven world, however, what one sees as “undeserving” may be viewed by another as “resourceful.”
This study examined envy through the lenses of social status (OSS vs. SSS) and AI-assistance (used vs. not used). Participants were randomly assigned to one of four vignette conditions and completed the Benign and Malicious Envy Scale (BeMaS) after reading a scenario. They then completed the Artificial Intelligence Attitudes Scale (AIAS-4) and Artificial Intelligence Literacy Scale (AILS), presented in counterbalanced order.
We hypothesized that high SSS would evoke more intense, malicious envy, especially when status was gained through AI. In contrast, OSS would evoke less intense, more benign envy, particularly when status was earned through hard work. We also predicted that participants with more negative or limited views of AI (per AIAS-4 and AILS) would be more likely to experience malicious envy.
By examining how type and perceived legitimacy of status influence envy in an AI context, this study aims to illuminate the psychological mechanisms shaping public reactions to AI and support more equitable, psychologically informed approaches to its integration.
Blickfeldt, Joe - Major: Plant Sciences, University of Arizona
Mentor: Dr. Mark Beilstein, Associate Professor, School of Plant Sciences
Title: Complementation of Tripartite Signaling in Arabidopsis thaliana
Abstract: To achieve successful reproduction, plants have evolved complex means for overcoming reproductive barriers meant to ensure the compatibility of gametes. In Arabidopsis thaliana, a tripartite signaling network is one method used to navigate these barriers. Catharanthus roseus receptor-like kinase1-like (CrRLK1L) proteins, namely BUPS1/2 and ANX1/2, form heterodimeric pairs in the cell membrane of the pollen tube and are assisted by LORELEI-like GPI-anchored proteins (LLGs) in the reception of various Rapid Alkalinization Factors (RALFs). Together, these components moderate pollen tube growth through the carpel. Evidence suggests that mechanisms similar to A. thaliana’s RLK-LLG-RALF complex are highly conserved across flowering plants. Functional conservation of BUPS across Eudicots was examined through transgenic insertion of a Solanum lycopersicum BUPS gene (t-SlBUPS) into A. thaliana. While t-SlBUPS was transcribed by the microgametophyte, bups microgametophytes with t-SlBUPS failed to reach and fertilize the megagametophyte. It is unclear whether the failed complementation was due to the differences in SlBUPS and AtBUPS1 or if experimental limitations in transgenic BUPS insertion hinder the ability to fulfill function in bups1 deficient plants. I hypothesize that transformed AtBUPS1 (t-AtBUPS1) in a bups1-/- plant will function in place of the null mutant and facilitate fertilization. A plasmid construct was designed with the AtBUPS1 coding sequence and transformed into heterozygous BUPS1/bups1 A. thaliana plants. Plants will be screened for t-AtBUPS1 and analyzed for transmission of the bups1 allele by the microgametophyte. Successful complementation by t-AtBUPS1 would suggest that the failure of t-SlBUPS is due to the dissimilarities between the two orthologs.
Burey, Taylia - Major: Biology, University of North Carolina Greensboro
Mentor: Dr. Xiang Gao, Professor, Department of Public Health
Title: Systemic Neglect: Racial Disparities in African American Health Outcomes in the U.S.
Abstract: Persistent racial disparities in healthcare outcomes continue to place African American communities at a disadvantage, despite advances in medicine and public health policy. This paper investigates how systemic racism, both historical and contemporary, shapes unequal treatment, health outcomes, and perceptions of care among Black Americans. The motivation behind this research lies in the urgent need to understand the non-biological drivers of these disparities, particularly in the face of continued misinformation among medical professionals, unequal access to healthcare, and chronic stress rooted in social inequality. This study synthesizes recent epidemiological data, peer-reviewed studies, and public health reports to examine the specific ways racial bias manifests in healthcare settings: through false biological assumptions, inadequate pain assessment, inequitable treatment protocols, and the intersection of race and geography in rural health access. Findings show that Black Americans experience worse health outcomes across a range of conditions, from cardiovascular disease to COVID-19, and face higher uninsured rates, especially in rural areas where access to care is further limited by infrastructure. The research also highlights how stress from racial discrimination accelerates chronic illness, particularly among Black women. These results suggest that health inequities are less a function of genetics and more a reflection of institutional neglect and bias. The paper concludes that addressing racial disparities in healthcare requires structural reforms in medical training, expanded rural healthcare infrastructure, and culturally responsive care models that acknowledge and work to reverse longstanding racial injustices in medicine.
Clarke , Kayanna - Major: Psychology and Human Development Family Sciences , University of Connecticut
Mentor: Dr. Natalie Shook, Professor, School of Nursing
Title: The Role of Structural Sexism in the PTSD Gender Gap: A Systematic Review
Abstract: Post-Traumatic Stress Disorder (PTSD) affects women at significantly higher rates than men, with women being twice as likely to develop it. In current literature, research has primarily focused on cognitive and biological explanations for this disparity. Cognitive research highlights differences in how individuals appraise and cope with trauma, suggesting that women are more likely to view events as threatening and use avoidance-based coping. Biological studies emphasize hormonal differences and heritability linking stress sensitivity to female hormones and suggesting higher heritability rates in women. These studies fail to account for the potential social factors that shape trauma experiences and may contribute to women's higher rates of PTSD. This systematic review aims to address this gap by examining how structural sexism influences PTSD outcomes. Structural sexism refers to systematic gender inequality in power and resources which can occur at micro (intrapersonal), meso (interpersonal), and macro (institutional) levels of the social ecology. This review explores the question: How does structural sexism at the micro-, meso-, and macro-levels contribute to the gender gap in PTSD? Looking at these three levels, this review offers a better understanding of how systemic gender inequalities shape PTSD outcomes and contribute to higher rates of the disorder among women.
Clincy, Ari - Major: Chemistry, University of Cincinnati
Mentor: Dr. Allan R. Pinhas, Professor, Department of Chemistry
Title: Efficient Conversion of CO2 and Styrene Oxide into a Cyclic Carbonate Using a Readily
Abstract: The chemical reaction of carbon dioxide with epoxides has been a topic of interest due to its potential in reducing global CO₂ emission and as a process to produce valued chemicals. Although this reaction has long been thought to be inefficient and difficult without ornate inorganic catalysts, co-catalysts, or high heat and high-pressure reaction conditions. It has been found that a high yield of cyclic carbonates can be obtained in a reasonable amount of time through use of only tetrabutylammonium iodide with minimal heat. This finding makes this transformation of CO₂into a cost effective and simple approach to cyclic carbonate synthesis.
Elrefaei, Abdulrahman - Major: Analytics Information Management, University of Connecticut
Mentor: Dr. Yao Zheng, Assistant Professor, Department of Statistics
Title: Interactive Client-Side Platform for Time Series Analysis and Visualization
Abstract: I developed a web dashboard that makes advanced time series analysis accessible to researchers without programming experience. The dashboard implements Model Prediction Sets (MPS), an algorithm developed by my PI that automatically selects the best models for data that changes over time.
Traditional model selection methods like AIC, BIC, and cross-validation work well when data patterns stay consistent, but they struggle when the underlying process shifts - which happens frequently in real-world time series. MPS solves this problem by continuously adjusting its selection criteria based on recent performance, maintaining reliable predictions even during major pattern changes.
Users simply upload CSV files through drag-and-drop, and the system automatically detects data columns and runs the analysis. The dashboard tests multiple model types including autoregressive, moving average, and neural network models, then shows which ones perform best over time. Interactive charts display the raw data, model selections, error rates, and performance comparisons.
The platform combines a React frontend with Python backend processing. It uses NumPy for calculations and connects to R for additional statistical procedures. All results are visualized through interactive plots that update in real-time.
Testing demonstrates that MPS consistently maintains target error rates on changing datasets, while traditional methods show increasing errors during transitions. This tool allows researchers to analyze complex time series data without needing statistical programming skills.
**2 Presenters--Flowers, Kristina - Major: Psychology , AND, Hartwell, Erica - Major: Psychology, Concord University
Mentor: Dr. Rodney Klein, Professor of Psychology, Psychology
Title: The Effect of CBD on Anxiety-Like Behavior in Rats.
Abstract: Cannabidiol, often referred to as CBD, is a chemical compound found in the cannabis plant. CBD has been investigated by researchers for several potential benefits, including as a potential treatment for anxiety-related disorders. This study examines the effects of CBD on anxiety-like behavior in rats. The hypothesis for this study expected that subjects who received CBD would exhibit more locomotion and more exploration of open areas, behaviors that suggest lower levels of anxiety, than subjects that did not receive CBD. Subjects were evaluated for anxiety like behaviors using an elevated plus maze and an open field test. The findings of this study contribute to the research of CBD as a potential treatment option for neuropsychiatric disorders.
Gaona, Jasmine - Major: Public Health , Eastern Kentucky University
Mentor: Dr. Fontaine Sands, DrPH, MSN, RN, CIC, Nursing
Title: Barriers in the United States Healthcare System that Affect the Quality of Care Women of Color Receive
Abstract: In the United States, the maternal mortality rate for women of color is higher than for others. Understanding the self-reported barriers present in the healthcare system is crucial for future medical providers to arrange the best care for a patient. Therefore, the purpose of this study is to identify the self-reported barriers that are present when women of color are receiving maternity/pregnancy-based care. An anonymous survey was used to collect data from women of color who were 18-45 years old (childbearing age) and had received maternity care in the past five years. The survey's results identified several self-reported barriers that could assist healthcare providers when providing maternity care for women of color.
Hall, Danielle - Major: Health Sciences, University of Cincinnati - College of Allied Health Sciences
Mentor: Dr. Jason Long, Biomedical Engineer, Director of Cincinnati Children's Hospital Medical Center (CCHMC) Motion Analysis Lab, Scientific Director in Division of Occupational Therapy and Physical Therapy at CCHMC, and a professor in the University of Cincinnati's Department of Orthopedic Surgery., Division of Occupational Therapy and Physical Therapy at CCHMC
Title: Gait Retraining Using Real-Time Biofeedback to Minimize Tibial Acceleration in Long Distance High School Runners
Abstract: Authors: Danielle Hall and Dr. Jason Long PhD
Abstract: Overuse injuries are a significant concern among adolescent long-distance runners, especially during key developmental years. One contributing factor is elevated peak tibial acceleration (PTA), which reflects the magnitude of impact force transmitted through the lower leg at footstrike. High PTA has been linked to increased injury risk due to repetitive loading. This study investigates the feasibility of using real-time visual biofeedback as a gait retraining tool to help runners reduce PTA and adopt safer running mechanics. High school participants were equipped with tibial accelerometers and reflective markers for 3D motion capture during treadmill trials. They received real-time visual feedback displaying their raw PTA data relative to a target threshold line and were encouraged to use self-selected gait modifications to stay below the threshold. Preliminary results suggest that runners were able to adjust their mechanics and reduce PTA within a single session. These findings support the use of real-time biofeedback as a promising intervention for injury prevention and performance enhancement in adolescent athletes. Future research will explore the long-term retention of gait changes and the potential for broader application in field-based settings.
Acknowledgements: I would like to express my gratitude to the University of Cincinnati, the Ronald E. McNair Post Baccalaureate Achievement Program, and Cincinnati Children’s Hospital Medical Center for investing in me and my research!
Hogan, Makayla - Major: Biochemistry and Biology, The University of Minnesota-Duluth
Mentor: Dr. Pedro Fernandez-Funez, Associate Professor & Program Director, Department of Biomedical Sciences at the University of Minnesota Medical School
Title: Uncovering the pathogenic mechanisms facilitating the neurotoxicity of excessive sphingolipids
Abstract: Sphingolipids (SL) play an important role in shaping protein-carrying cellular membranes, which help regulate protein signaling throughout the membrane. Serine palmitoyltransferase (SPT) is a multisubunit enzyme localized in the endoplasmic reticulum that catalyzes the rate-limiting step in the synthesis of the main SL precursor, ceramide. SPT production is heavily regulated by ceramide levels to prevent accumulation of SLs in the central nervous system. This is linked to several neurodegenerative diseases, including Tay-Sachs, Gaucher, and Niemann-Pick. More recently, mutations in SPT have been linked to juvenile forms of amyotrophic lateral sclerosis (ALS), but the mechanisms facilitating the pathologies of SPT are not well understood. To investigate how excess SPT activity and accumulation of SLs cause neurotoxicity, we generated transgenic flies (Drosophila melanogaster) expressing human wild type and mutant SPT. Expression of SPT in flies causes progressive toxicity in several tissues: neurons, glia, and eyes. These abnormal phenotypes are used to examine the mechanisms of inducing toxicity. We documented eye morphology and imaged adult fly brains by confocal microscopy. Additionally, accumulation of SLs was quantified through mass spectroscopy. Since SPT is the initial step in the biosynthesis of SLs, we investigated how inhibition of downstream enzymes involved in ceramide synthesis or degradation modifies SPT toxicity. Results showed restriction of ceramide synthase activity reduces SPT toxicity; while restriction of sphingosine-1-phosphate lyase activity, a SL catabolic enzyme, increases SPT toxicity. Our goal is to gain valuable understanding of the molecular mechanisms involved with ALS and identify potential therapeutic targets to treat the disease.
Koulla, Akeva - Major: Biomedical Engineering, University of Connecticut
Mentor: Dr. Russell T. Shinohara, Professor, Department of Biostatistics, Epidemiology, and Informatics at the University of Pennsylvania
Title: Lesions and the Multiple Sclerosis Diagnosis: A Comparison of Automated Detection Algorithms for Central Vein Sign and Paramagnetic Rim Lesions
Abstract: Multiple sclerosis (MS), a disease characterized by central nervous system inflammation and neurodegeneration, has an estimated misdiagnosis rate of around 15%. This leads to individuals undergoing unnecessary treatments for years and delays in appropriate therapies. In the 2024 revised diagnostic criteria, new key imaging biomarkers were highlighted to help differentiate lesions associated with MS from other MS mimics: paramagnetic rim lesions (PRLs) and the central vein sign (CVS). Overall, there has been only limited research focusing on PRLs as a diagnostic tool and comparing the two biomarkers. In recent years, misdiagnosis rates have led researchers to develop fully automated systems to aid neurologists and radiologists in detecting MS with MRI via biomarkers. We focus on two systems, APRL and ALPaCA, to understand whether PRLs and CVS predict MS diagnosis. We employed logistic regression modeling to determine whether the number of PRLs and CVS correlated with MS diagnosis while incorporating age and sex, and conducted ROC analysis of the two automated models on a dataset of 167 individuals from the CAVSMS dataset. Results revealed the same AUC values for APRL and ALPaCA of 0.77 and similar AUCs (0.76 and 0.74, respectively) when performing a split-half cross-validation. As expected, there was a positive correlation between the number of PRL lesions and CVS and the likelihood of being diagnosed with MS. These results also newly suggest that, for this subset of the CAVS-MS dataset, PRLs may be as or more predictive CVS for determining if a patient has MS.
Laporte, Alexa - Major: Applied Biotechnology, University of Arizona
Mentor: Dr. David E. Hogan, Assistant Research Professor, Department of Environmental Science
Title: Novel Bio-Inspired Xylolipids: Toward Heavy Metal Remediation Strategy Development
Abstract: Heavy metal contamination of aqueous systems remains a global concern due to the toxicity and persistence of metals such as lead, cadmium, and arsenic. While synthetic surfactants are effective in facilitating heavy metal remediation, their petrochemical origins raise concerns about their toxicity and biodegradability. This study investigates a new class of synthetic, bio-inspired surfactants – xylolipids, nonionic glycolipids derived from xylose – to explore their surface-active and emulsifying properties and interactions with rhamnolipid biosurfactants. As these molecules are novel and structurally unique, they have not yet been fully characterized. Moreover, studies have shown that anionic and nonionic mixtures of synthetic surfactants exhibit synergistic effects, but such interactions with bio-inspired glycolipids are yet to be explored. Therefore, this study characterizes two bio-inspired nonionic xylolipids using force tensiometry (Du Noüy ring method) to measure both surface tension and critical micelle concentration (CMC) and evaluates emulsification activity via kerosene-based emulsion testing. Additionally, the study explores the interactions in binary mixtures of the novel bio-inspired xylolipids with the more characterized rhamnolipid biosurfactants. Preliminary findings suggest that select xylolipid-rhamnolipid combinations exhibit synergistic effects, lowering surface tension in their binary mixture compared to the surfactants individually. These results indicate potential for customized surfactant systems that could improve the efficiency of heavy metal remediation technologies. With an improved knowledge of synthetic biosurfactant performance and interactions, this work contributes to the development of more effective, tunable, and environmentally conscious remediation strategies.
Leyva, Brianna - Major: Neuroscience and Cognitive Science , University of Arizona
Mentor: Dr. Lauren Hartstein , Assistant Professor , Department of Psychiatry
Title: Impact of Light Exposure on 5-6 Year Olds’ Circadian Rhythms and Sleep Health
Abstract: Sleep is a critical component of children’s health, influencing their emotional and behavioral development. Both sleep quality and duration are shaped in part by circadian timing, which is regulated by the body’s internal clock. Light exposure plays a pivotal role in regulating the circadian clock. Evening light exposure and disruptions to sleep can lead to negative effects on children’s health. Despite this, there is a gap in research regarding interventions that could promote early bedtimes and healthy sleep behaviors in younger children. The object of this study is to examine the sleep timing, light exposure, and sleep quality in a community sample of children aged 5-6 years old before and after an intervention aimed at reducing evening light exposure. We hypothesize that adjustment to home lighting environment and blue light-blocking glasses will result in earlier dim light melatonin onset (DLMO), earlier sleep onset, and the interventions will be perceived as feasible and acceptable by the parents and children. Data will be analyzed from the children’s actigraphy watches, sleep journals, and salivary melatonin. Parents will complete post-intervention assessments and qualitative interviews to assess the feasibility and acceptability of each intervention. Results from the analyses will indicate whether the two intervention strategies can improve children’s sleep health by advancing children’s sleep and circadian timing. This study will contribute to further research in understanding how blue light can affect sleep and circadian timing in younger children. It will highlight the importance of developing effective circadian interventions to support healthy sleep patterns in children.
Marcinko-Hernandez, Andrew - Major: Biomedical Engineering, University of Arizona
Mentor: Dr. David Margolis, Associate Professor with Tenure, Orthopedic Surgery
Title: Regenerative Interventions to Prevent Amputations Following Bone Loss
Abstract: Fractures and critical-sized bone defects remain major clinical challenges, often resulting in long-term disability or limb amputation when proper regeneration fails. Insufficient stabilization at the defect site can lead to fibrous non-unions, structural failure, and impaired calcification. Conventional treatments such as distraction osteogenesis, bone transport, autografts, and allografts face limitations including donor-site morbidity, immune rejection, and poor tissue integration. These drawbacks have driven interest in patient-specific, regenerative strategies. Three-dimensional (3D) printed scaffolds made from polylactic acid (PLA), a biodegradable and biocompatible polyester, offer a promising alternative. Widely used in biomedical applications, PLA safely degrades in vivo through hydrolysis of its ester bonds, producing lactic acid, a natural metabolite processed by the body. When combined with tricalcium phosphate (TCP), these composite scaffolds improve osteoinductivity and support vascular ingrowth, while maintaining mechanical integrity and customizable geometry. In parallel, wireless battery-free devices, like osseosurface electronics, enable real-time monitoring of local strain, impedance, and temperature. These sensors directly attached to bones or implants, allowing continuous post-operative assessment to detect complications and guide clinical decision-making. This study investigates whether the integration of biodegradable PLA-TCP scaffolds with implantable electronics, referred to as "smart scaffolds", enhances bone healing in a sheep femoral defect model. We hypothesize that this dual approach will not only improve bone regeneration outcomes but also provide dynamic, in vivo feedback throughout recovery.
Medrano, Martin - Major: Psychology, Concord University
Mentor: Dr. Manjunath Burdekar, Associate Professor of Psychology, Psychology
Title: The Effects of Different Types of Light on Anxiety
Abstract: This study examines the effects of various forms of light exposure on anxiety levels in the short term. Over 40 million people in the US suffer from anxiety disorders each year, and psychological states may be significantly influenced by environmental elements like illumination. Light can impact mood, cognitive function, and circadian rhythms, according to earlier studies. Building on this, the current experiment investigates how state anxiety levels are affected by four different forms of lighting: iridescent, blue, fluorescent, and natural.
In a controlled laboratory environment, participants were randomly allocated to one of the four illumination conditions using a between-subjects experimental design. The State-Trait Anxiety Inventory (STAI) was used to gauge their anxiety levels after they finished a word search assignment for 15 minutes in the designated light. To find significant group differences, a one-way ANOVA and Tukey's HSD post-hoc test will be used to evaluate the data. Compared to blue and fluorescent light, it is predicted that iridescent and natural light will produce noticeably lower anxiety scores.
The anticipated results could offer crucial information for improving illumination in settings including offices, classrooms, and healing areas. This study advances our knowledge of how environmental design might promote mental health by identifying lighting conditions that lower anxiety levels.
Morris, Brandalyn - Major: Behavioral Neuroscience, Grand Valley State University
Mentor: Teresa Castelão-Lawless, Professor, Department of Philosophy
Title: Opening the Black-Box of Mental Disorders: An Actor-Network Theory Analysis of Schizophrenia
Abstract: Schizophrenia is a poorly understood, culturally specific concept that defies robust classification as a disease process, yet is considered the most devastating of all mental illnesses. Using a few methodological notions from Bruno Latour’s Actor Network Theory (ANT), this research seeks to disambiguate schizophrenia. The scope and focus of our examination will be restricted to three actors/actants within the schizophrenia assemblage: the Diagnostic and Statistical Manual of Mental Disorders (DSM classification system), the medical model of mental illness, and psychopharmacology. By appropriating tools and terminology from ANT to reveal a few human and non-human elements within the network, this research aims to describe how the current concept of schizophrenia has emerged from the dynamic interplay of interconnected assemblages of interfacing actors/actants, which have stabilized it into existence. Through this research, it is our hope that a more textured picture of the black-boxed diagnosis of schizophrenia will begin to emerge and present with opportunities for greater understanding, more effective treatments, and advancements in the field of behavioral neuroscience.
Newcomb, Michael - Major: Biochemistry, The College of St. Scholastica
Mentor: Dr. Kathleen G. O’Malley, Assistant Professor, Department of Fisheries, Wildlife, and Conservation Sciences - Hatfield Marine Science Center at Oregon State University
Title: Using qPCR and eDNA to Track Aquatic Invasive Species In Oregon Waterways:
Zebra and Quagga Mussels
Abstract: Zebra (Dreissena polymorpha) and quagga (D. rostriformis bugensis) mussels are invasive species that are slowly spreading throughout waterways in North America, generally causing harm to native species and ecosystems. In Oregon, a multiagency collaboration is underway to test for the presence of these mussels within waterways, some of the last major waterways in North America that have yet to be invaded by these two mussel species. To facilitate early detection, water samples containing environmental DNA (eDNA) have been collected from waterbodies throughout the state. We then extracted DNA from each water sample. To detect the presence of zebra or quagga mussel DNA in each sample, we performed quantitative PCR (qPCR) using a dreissenid-specific species assay targeting the mitochondrial 16s rRNA region. Based on results from one round of testing, we did not detect either species in parts of the Snake River and in or around the Owyhee, Brownlee, Oxbow, and Hells Canyon reservoirs. Continued monitoring will enable early detection and help prevent the spread of both the zebra and quagga mussels in Oregon and other surrounding areas.
Sah, Niraj - Major: Biology, University of North Carolina Greensboro (UNCG)
Mentor: Dr. Ashok Kumar, Professor, Department of Pharmacological and Pharmaceutical Sciences (PPS)
Title: The Role of Fibroblast Growth Factor-Inducible 14 (Fn14) In Rhabdomyosarcoma(RMS)
Abstract: Rhabdomyosarcoma (RMS) is a type of soft tissue sarcoma that arises in or near skeletal muscle beds and shows features of myogenic differentiation, including expression of muscle structural proteins. However, RMS cells continue to proliferate and do not undergo terminal differentiation into skeletal muscle. For RMS patients with distant metastasis, the survival rate is only about 30%. Fibroblast growth factor-inducible 14 (Fn14), a cell surface receptor, is known to activate various signaling cascades that regulate cell survival, proliferation, and differentiation. Our objective in this project is to investigate the role of Fn14 in the survival, and proliferation of RD cells, an RMS cell line. We have generated and validated lentiviral particles expressing Fn14 shRNA. Using various cell biology assays, we are investigating the effect of silencing Fn14 on the survival, proliferation, and colony formation ability of RD cells. By performing Western blot, we also investigated how various biochemical markers of cell proliferation, and apoptosis are affected in control and Fn14-knocked down RD cells. Our results suggest the upregulation of Fn14 protein in the RD cells compared to normal human myoblasts. Our results also demonstrate that knockdown of Fn14 using shRNA reduces RD cell proliferation and survival, and enhances apoptosis. Moreover, the levels of lactate dehydrogenase in culture supernatants (a marker of cell death) is increased in Fn14 knockdown RD cultures compared to controls. The silencing of Fn14 significantly reduces the survival and proliferation of RD cells and that Fn14 represents an important therapeutic target for RMS.
Sanson, Marcos - Major: Computer Science, Grand Valley State University
Mentor: John Beighle, Computer Scientist, Space Vehicles Directorate (Air Force Research Laboratory, United States Space Force), AND, Dr. Loren Anderson, Principal Machine Learning Engineer, Mission Technologies (Huntington Ingalls Industries)
Title: Artificial Intelligence Spacecraft Control Using Reinforcement Learning
Abstract: Controlling spacecraft in orbit is a complex task, typically requiring extensive human oversight and very precise actions. Traditional control methods often rely on specialized systems and struggle to generalize across arbitrary trajectories. Here, we apply artificial intelligence (AI) and reinforcement learning (RL) to train agents that can complete orbital tasks from a variety of starting conditions and without human intervention. Our approach uses custom reinforcement learning environments and algorithms built with Poliastro, an open-source astrodynamics software library, to simulate and learn three tasks: ingress, circumnavigation, and docking. Our results show that the reinforcement learning agents are successfully able to complete these tasks in simulation. Future work involves continually reducing fuel use on all tasks to realistic levels. We also aim to transfer results to high-fidelity simulations and eventually physical spacecraft systems.
Sarmiento, Maria - Major: Political Science, Eastern Washington
Mentor: Dr. Thomas Hawley, Professor, Department of Political Science and Public Policy
Title: The Ideological Root of Stigma For Children In Care
Abstract: Within society, different philosophers have contributed to the definition of family, specifically in their importance in the development of communities. From Aristotle to Hegel, the accumulation of these definitions has formed a stigma that has created a negative stereotype surrounding the children in the foster care system and minimized the legitimacy of foster children’s family structures. The discrimination directed towards children in care is rooted in the Aristotelian definition that biologically related families are given higher priority, creating negative expectations of children in care in education and the policies surrounding the children’s lives. Although these definitions have been challenged in how to approach family dynamics as presented by Hegel, the naturalist meaning is the prevailing narrative. The purpose of this study is to trace the beginning of the stigma that has manifested in the foster care system that affects the educational opportunities and expectations for children in care.
This qualitative study aims to create a timeline of the origin of stigma within non-traditional family structures and its effects on civil society. This research project strives to analyze the thoughts of philosophers regarding the concept of family, how these ideologies are reinforced throughout different aspects of the children’s lives, such as education, policies, and interactions within their community. This paper intends to find solutions to the biased systems that are created to serve children in care, how to deconstruct these beliefs to provide better opportunities for all children, and give insight into future solutions that other researchers may be able to contribute.
Solomon, Saron - Major: Bioengineering, University of Colorado Denver
Mentor: Dr. Becky Breaux, Assistant Research Professor, Department of Engineering- Bioengineering
Title: Preliminary Feasibility of a Multi-Sensor Protocol for Nighttime Care Monitoring
Abstract: Individuals with neurological conditions that result in body shape distortions, such as cerebral palsy, frequently experience difficulties maintaining comfortable sleeping positions. Early studies suggest that a potential intervention for improving sleep quality and reducing the frequency of posture-related nighttime interventions by caregivers is the use of nighttime positioning systems, which are therapeutic aids designed to promote safe sleeping positions. However, high-quality evidence supporting their effectiveness remains limited due to a lack of objective, reliable methods used in earlier studies to monitor the impact of these systems. As a first step toward building a reliable evidence base, a pre-feasibility study was conducted to evaluate whether a multi-sensor system could accurately detect nighttime caregiving events in a home-like setting.
A Lorex 4K infrared video camera, Aqara FP2 mmWave presence sensor, and Withings Sleep Mat were installed in a mock bedroom. A caregiver proxy performed three trials of seven scripted care tasks (e.g., repositioning, bed entry) on a volunteer participant simulating a sleeping child.
The system performance was assessed using six metrics: Detection Rate, Consistency Index, Collaborative Detection Rate, Unique Contribution Score, Relative Detection Accuracy, and Latency. The system detected 100% of all events with full consistency across trials and an 86% collaborative detection rate. While the video camera had the highest unique contribution, each sensor supported reliable, cross-validated detection.
These findings support the use of this multi-sensor system in a future in-home feasibility study, and ultimately in a case study evaluating the effectiveness of nighttime positioning systems.
Strunk, Mollie - Major: Geochemistry, Grand Valley State University
Mentor: Dr. Tara Kneeshaw, Assistant Professor, Department of Geology
Title: Seasonal and Land Use Influences on Soil Carbon Sequestration in Grazed and Ungrazed Fields
Abstract: As concerns over rising atmospheric carbon dioxide levels grow, there is increased interest in understanding how land management practices may influence carbon storage in soils. Soil is a major sink of carbon, primarily through soil organic matter (SOM). Accumulation of SOM is associated with both climate change mitigation and better soil fertility. Accumulation is impacted by microbial activity and physical properties of the soil. SOM can be categorized into two size components: particulate organic matter (POM) and mineral associated organic matter (MAOM). This study explores how soil organic carbon (SOC) content differs between POM and MAOM fractions in fields that have undergone prescribed sheep grazing (PSG). We compared SOC content of POM and MAOM fractions in the upper 60 cm of soil to evaluate how PSG may influence SOC and soil structure. Soil moisture and bulk density were also collected to support interpretations. Although long-term impacts of PSG on carbon sequestration may not yet be apparent, this research provides an early baseline for monitoring changes in soil health and carbon dynamics in response to PSG. By comparing physical and chemical properties across two grazing “treatments”, we aim to identify early indicators of how grazing might affect carbon stabilization and broader soil health metrics.
Tesfay, Luwam - Major: Kinesiology, University of North Carolina at Greensboro
Mentor: Dr. Beth Bacon, Ph.D, Research, Professor, Department of Kinesiology
Title: Early Sensory Inputs During Passive Anterior Tibial Translation: A Case Study Comparing Fraternal Twins with Similar Knee Laxity Levels
Abstract: Anterior cruciate ligament (ACL) injuries remain prevalent in athletic and physically active populations, with females facing a 2–4 times higher risk than their male counterparts. While increased anterior knee laxity (AKL) is a known risk factor, the role of neurophysiological and hormonal influences in joint control is less understood. Particularly when mechanical properties are held constant.This case study explored cortical activation during passive anterior tibial translation (ATT) in a pair of fraternal twins (one male and one female) with matched AKL and similar activity levels. Participants underwent ATT while electroencephalography (EEG) recorded cortical responses. Despite known sex differences in brain structure, hormone levels (e.g., testosterone and estrogen), and sensorimotor processing, the twins exhibited interesting sensory patterns during ATT. This suggests that when mechanical and environmental variables are matched, neurophysiological responses to joint loading may differ across sexes.
Timmer, Ellis - Major: Biology, The University of Alabama
Mentor: Dr. Eva Stricker, Research Assistant Professor, Department of Biology, University of New Mexico
Title: Long-Term Effects of Organic and Inorganic Nutrient Additions on Soil Characteristics and Arthropod Communities in Dry Rangelands
Abstract: Nutrient additions are often added to soils to improve overall soil health by increasing levels of limiting nutrients which in turn allow for more vegetative growth, improved soil stability, and create a more complex habitat for arthropods that live on the soil surface. These are especially important to restore healthy qualities in dry rangelands which experience drought and are climate sensitive. However, it is unclear whether the effects are long lasting, or whether multiple additions are needed to maintain healthy qualities over long periods of time. In this study, 4 different experimental sites in New Mexico with organic (manure-based compost) and inorganic (Nitrogen) nutrient additions were sampled for soil cores, biomass clippings, water infiltration rate, aggregate stability, and pitfall trapping for arthropod collection. We found that 5 years after the compost additions, aboveground biomass increased significantly in areas without grazing, but was not different in grazed areas, showing preferential grazing of composted lands. A significant increase in soil aggregation on composted plots 5 years after addition shows an increased stability of the soil surface and suggests solutions for reducing soil erosion on rangelands, especially in places with bare soil. Arthropod diversity was decreased on plots with additions due to the increased abundance of ants affecting species evenness, however the presence of ants may be seen as a bioindicator of healthy soils. Overall, significant effects of organic additions were seen much longer than the effects of the inorganic additions, proposing organic additions as a more sustainable alternative to inorganic applications.
Wako, Lensa - Major: integrated health , university of colorado denver
Mentor: Dr. Kevin masters , professor , Department of health psychology
Title: Work, Life, and Health: Examining the Relationship Between Work-Life Spillover and
Cardiovascular Health
Abstract: Work experiences significantly influence personal well-being, yet little research has
examined how positive work-life spillover affects objective health measures like cardiovascular
health. This study investigates relationships between work-family spillover and both subjective
well-being and cardiovascular health indicators among middle-aged Americans. Using cross-
sectional data from the Midlife in the United States (MIDUS) study (N = 2,117), we examine
associations between positive and negative work-to-family spillover, Life's Essential 8
cardiovascular health scores, and life satisfaction. We also test whether job characteristics
including coworker support, supervisor support, skill discretion, decision authority, and job
demands moderate these relationships. Hypotheses grounded in ecological systems theory
predict that positive spillover will correlate with better cardiovascular health and well-being,
particularly for workers with high autonomy and social support, while negative spillover will
show inverse associations, exacerbated by high job demands. Findings aim to inform workplace
interventions targeting spillover as a modifiable health determinant.
Wincherhern, Gabrielle - Major: Ecology and Evolutionary Biology, University of Connecticut
Mentor: Dr. Margaret Rubega, Professor, Department of Ecology and Evolutionary Biology
Title: Foraging rates of roseate terns nesting under rocks vs. in nest boxes
Abstract: The roseate tern (Sterna dougallii) is a federally endangered coastal migratory seabird that breeds on offshore islands in the U.S. and Canada. Great Gull Island, N.Y., located in Long Island Sound, is one of the largest roseate tern colonies in the northern Atlantic. Historically, about a third of roseate terns nested within the rocky revetment surrounding the island, but due to the threat of rising sea levels, much of this revetment will be inundated by 2100. Therefore, if roseate terns continue to nest in this revetment, they risk flooded nests and a loss of breeding habitat. Nest boxes have been deployed to encourage terns to nest in areas higher in elevation on the island, but it is also important to examine foraging behavior to determine how nest boxes affect chick survival and assure they are not sink habitats. I collected data on feeding rates of roseate terns at rock nests and compared it to that of nest boxes to determine if there are differences in feeding rates across the season or between nest types. Both nest types had similar feeding rates for the first few days, after which they diverged, with rock nest rates eventually stabilizing at lower rates. Box nests also experienced a spike in feeding rates on June 22, unlike rock nests. Therefore, box nests do not appear to have a decreased feeding rate in comparison to rock nests, which is positive news for the use of nest boxes to mitigate habitat loss for this endangered species.
Witt, Tapanga - Major: Computer Science, Grand Valley State University
Mentor: Dr. Kylie Jacobsen, Assistant Professor, Department of Writing
Title: Designing an Interactive Exit Ticket System to Enhance Learning in Engineering Education
Abstract: Within Grand Valley State University's (GVSU) Padnos College of Engineering, many first-year Engineering courses consistently see pass rates below 60%, signaling a need for stronger academic support. This is an issue across many universities; students are underprepared as well as face a lot of challenges with workload, pace, and independence due to the transition from high school to college (Flanigan, 2024). This project will design and develop a website-based exit ticket system to support student reflection and instructor feedback. Using UX design principles, the platform will offer a weekly self-reflection form that recommends resources like tutoring, office hours, or study groups. Gamification elements such as progress tracking and reflection streaks will help motivate students. By the end of the project, a high-fidelity prototype will be complete and tested with students for usability. The goal of the design is to strengthen communication between students and instructors, foster successful academic behaviors, and ultimately improve retention in engineering programs. Future work will collect feedback from instructors and refine the system. This work addresses a critical gap in engineering education by integrating self-reflection, timely support, and instructor feedback into a single, user-centered platform.
Xanthos, Zoe - Major: Biochemistry & Applied Biotechnology , The University of Arizona
Mentor: David Baltrus, Associate Professor , School of Plant Sciences
Title: ComEA Protein Assists DNA Uptake in Pseudomonas stutzeri
Abstract: Natural transformation, the ability to uptake foreign DNA, is a mechanism possessed by many bacterium species which aids biotechnological advancements and propels bacterial evolution. However, natural transformation is only present within a small group of subspecies within the Pseudomonas genus. One mechanism of DNA uptake utilizes a gene called comEA, translating protein ComEA which binds and guides exogenous DNA into the periplasm. Although numerous species of bacteria are known to utilize the comEA gene, it is currently unknown if Pseudomonas stutzeri requires this gene to accomplish natural transformation. Our study utilizes standard DNA editing techniques to delete the comEA gene from P. stutzeri and determine if it is capable of DNA uptake in the absence of the gene. However, we speculate that P. stutzeri will not be able to uptake DNA with the comEA gene deletion. We will then knock in the gene to confirm that the ComEA protein is truly necessary for P. stutzeri to undergo natural transformation. This study addresses an existing gap in knowledge by confirming the natural competence protein mechanism in P. stutzeri. Investigating how P. stutzeri, a soil-dwelling bacterium found across the globe, incorporates new DNA into its genome points to its robust evolution and survivability.
