Digital Commons Network^™

Inflammaging And Cognitive Decline: A Brief Review Of The Chronic Low-Grade Neural Inflammation Hypothesis, Gage Pompa

Undergraduate Research Symposium Lightning Talks

This presentation reviews the chronic low‑grade neural inflammation hypothesis as a mechanism linking aging to cognitive decline. Inflammaging refers to persistent, low‑level inflammation that develops with age due to immune dysregulation in the absence of infection. In the brain, this process is often triggered by the accumulation of beta‑amyloid plaques and phosphorylated tau tangles. Microglia attempt to clear these proteins, but their prolonged activation releases inflammatory mediators that damage surrounding neurons. Over time, this sustained neural inflammation contributes to neurodegenerative conditions such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, epilepsy, and psychiatric disorders including schizophrenia and major depression. Imaging markers …

Immigrant Population Inthe Mountain West, 2023, Maisoon Faris, Yiselle Olivas Ruiz, Kian Parikh

Undergraduate Research Symposium Podium Presentations

Our presentation, based on research conducted with Brookings Mountain West here at UNLV, will focus on the economic and workforce contribution of immigrants and international students. We will present data from our recently published fact sheet, “Immigrant Population in the Mountain West, 2023”, which derives data from the 2025 American Immigration Council (AIC) report “Map the Impact.” Our presentation will include state-level data on immigrant population, labor force participation, and economic contributions as of 2023. We will present three data tables that highlight data on each Mountain West State: Table 1 provides the number of Immigrant Residents, Immigrant Share of …

Design And Validation Of A Bilateral, Multi-Site 3d-Printed Neuronal Implant For Rodent Electrophysiology, Homero Phelps, Jonathan V. Trinidad, Talha Soluoku

Undergraduate Research Symposium Podium Presentations

Neuronal electrophysiology implants are essential tools in neuroscience for recording brain activity and investigating neurological disorders. Our lab’s previous 3D-printed implant designs centered around a single-site, recording platform that was limited in adaptability, precision, and lacked in vivo validation due to lingering engineering malfunctions. To combat limitations and expand recording capabilities, this project aimed to design and validate a new implant capable of multi-site, bilateral recordings across both brain hemispheres, specifically targeting the hippocampus (CA1 and CA3) and anterior cingulate cortex (ACC), regions critical for learning and memory. Building on the Open Ephys ShuttleDrive model, the implant was redesigned using …

Controls On Speleothem Carbon Isotopes, Paloma Marcos

Undergraduate Research Symposium Posters

The Sistema Huautla cave system is the deepest known in the Western Hemisphere. It is located in the Sierra Mazateca Mountain Ranges near Jiménez de Huautla, Oaxaca. There are over 29 separately discovered entrances into this karst environment making it the 28th longest cave system in the world. It can be considered by some as one of the most complex vertical drainage systems on Earth. This extensive study site has been an area of interest among cavers and scientific researchers for nearly 6 decades. Speleothem samples from the study sites have been found to be over 433,000 years old. The …

Creating A Data Processing Pipeline With Mne-Python, Lesly Vazquez, Ananda Liz Peixoto Couto

Undergraduate Research Symposium Posters

The UNLV Psychophysiology of Emotion and Personality Lab (PEPLab) utilizes a MATLAB based pipeline to process electroencephalogram (EEG) recordings. MATLAB is a proprietary software package, which limits the ability to analyze psychophysiological data and increases the financial burden of research. To increase the accessibility of data reduction skills, we have created and tested a new pipeline utilizing MNE-Python, an open source software package (Gramfort et al., 2013). In this pilot study, we utilized existing EEG recordings and examined the relationship between the Triarchic Model of Psychopathy and Error-Related Negativity (ERN) responses across incorrect and correct trials during a Letter Shock …

From Dante’S Inferno To California: Visualizing The Marginalized In Sandow Birk’S Social Critique, Lorenzo Williams

Undergraduate Research Symposium Posters

This research explores the intersection of medieval literature and contemporary visual art, focusing specifically on Sandow Birk’s reinterpretation of Dante Alighieri’s Divine Comedy. By examining Birk’s illustrated adaptations of Inferno and Purgatorio, this paper analyzes how he translates and visually reimagines Dante’s moral and spiritual journey as a modern critique of California’s social crises, particularly those affecting unhoused populations. It investigates Birk’s recontextualization of Dante’s allegory in relation to the urban decay of Los Angeles and San Francisco. Ultimately, this study aims to reveal how Birk’s visual narrative bridges historical understandings of religious and social issues with contemporary experiences of …

Prediction Error's Influence Of Declarative Memory: A Replication, Camila Schettini, Kevin Mohawk

Undergraduate Research Symposium Posters

We often have predictions about what to expect in our everyday encounters. However, not all these predictions will be accurate. Prediction error (PE) refers to the discrepancy between expectations and actual observed outcomes, and it is believed to play a role in learning, such as in classical conditioning. Yet, its relationship to one-shot declarative memory remains poorly understood. In the present study, we aimed to replicate Greve et al. (2017, Experiment 1) by testing whether PE enhances memory. Participants first learned scene-word associations in which a specific scene image was paired with one of two category labels, “positive” or “negative”. …

Examining The Relationship Between The Initial Level Of Learning And The Rate Of Forgetting, Lex De Asis, Justin Mykovich, Rhiannon N. Soriano Smith

Undergraduate Research Symposium Posters

It has been widely contested whether the rate of forgetting is connected to the initial degree of learning. While recent studies suggest that forgetting occurs at a consistent rate regardless of how well material was initially learned, other studies argue that this conclusion depends heavily on the analytical approach and the operational definition supplied. Additionally, emerging frameworks, such as the Representation Theory of Forgetting (Sadeh et al., 2014, 2016), propose that different brain regions support distinct types of memory representations, with each governed by separate forgetting mechanisms. This study seeks to examine how the degree of learning affects the rate …

Exploring Themes Of Gender And Nature Through An Ecofeminist Analysis Of Three Eco-Horror Films, Valeria Evelin Valdez Rios

Undergraduate Research Symposium Posters

With warmer days and more frequent natural disasters, it is clear to see climate change and global warming on the rise. It is more important now than ever to spread awareness about climate change’s consequences and how we can address them. Both nature and women are oppressed by patriarchal, capitalist systems, which is why we are interested in the intersection of gender and nature in environmental media. Our hopes are to tap into an under-studied field of environmental communication by analyzing eco-horror films, which are horror films with environmental messages. Using ecofeminist rhetorical theories, we analyze how three eco-horror films …

Simulation Of Fluid Flow Based On Navier Stokes Equations, Ricardo Marquez, Javier Perez

Undergraduate Research Symposium Posters

This work presents a computational study of incompressible flow based on the Navier-Stokes equations using finite element method. The Crank-Nicolson approximation is used for discretizing the time derivative. The study consists of investigating the effect of the choice of finite elements and the size of the time step in obtaining the numerical velocity and pressure. This is illustrated with FreeFEM++ simulations of the von Karman benchmark flow problem. Profiles of drag, lift and pressure drop will be presented in time.

Spatiotemporal Feature Extraction From Vertical Grf Signals For Parkinson’S Disease Severity Assessment Using Physionet And Gaitpd, Nitya Jadeja

Undergraduate Research Symposium Posters

Parkinson’s Disease (PD) is a progressive neurodegenerative disorder that impairs motor coordination, often resulting in measurable gait disturbances. Vertical ground reaction force (VGRF) signals provide a quantitative means of capturing these abnormalities and monitoring disease progression. This study focuses on the extraction and analysis of spatiotemporal gait features such as stride variability, stance duration, and force imbalance, from the PhysioNet Gait dataset to better understand their correlation with PD severity. Using gait analysis and machine learning techniques, recent computational models are reviewed and evaluated for their ability to assess PD progression through VGRF data. The analysis compares data-driven approaches with …

Relationship Between Caffeine Use And Eating Disorders, Hannah Segura, Maegan Nation

Undergraduate Research Symposium Posters

Eating disorders are a spectrum of cognitive, behavioral, and physical symptoms related to eating and compensatory weight management behaviors. Body image concerns can be a significant risk factor for various disorders, such as anxiety, depression and eating disorders. Additionally, eating disorders are commonly comorbid with other psychiatric disorders. Supplement usage such as performance enhancing supplements is becoming increasingly common, especially among younger populations. Using different supplements has been shown to put adolescents at an increased risk for body dysmorphia, disordered eating behaviors, as well as other potentially harmful health effects, like electrolyte complications, heart issues, or even death. Across the …

The Fitness Cost Of Rifampicin-Resistant Rpob Mutations On Mfd-Mediated Processes In Stationary Phase Bacillus Subtilis, Amber Callaway, Jessica Grifaldo

Undergraduate Research Symposium Posters

Rifampicin is a potent antibiotic that tightly binds to the ꞵ-subunit of RNA polymerase and blocks initiation of transcription. Bacillus subtilis cells that acquire rpoB mutations that confer resistance to rifampicin also exhibit decreases in transcription and fitness. Mutation frequency decline (Mfd) is a global transcription regulator that interacts with the ꞵ-subunit of RNA polymerase, and our RNA-seq showed that it had profound effects on the expression of motility genes. We hypothesize that the rifampicin-resistant rpoB: I681T mutation alters Mfd-mediated gene regulation of motility in Bacillus subtilis. Therefore, we will construct mfd- rpoB: I681T double mutants via natural competence and …

Dorsal/Ventral Orientation Of Dentate Granule Cells And Its Impact On Electrophysiology In Mice, Jacob Prince, Savannah Sampson, Alyssa Marron

Undergraduate Research Symposium Posters

The hippocampus has known roles in memory formation, learning, and spatial mapping. There are defined physiological differences between CA1 neurons based on their dorsal to ventral position within the 3D hippocampus (Malik et al., 2015). Given the varying functions of the dorsal and ventral hippocampus in cognitive processing and the role of the dentate gyrus as the entry point for information into the hippocampus, it will be interesting to determine if there are differences in the properties of granule cells across the dorsal and ventral axis. We explore the potential topographic specialization of dentate granule cells. This study examines the …

Examining County-Level Barriers To Midwife-Attended Births Among Black Women In The United States, Asia Miles

Undergraduate Research Symposium Posters

Background and Objectives: In 2011, the American Public Health Association (APHA) passed legislation aimed at reducing maternal mortality and morbidity by addressing shortages in maternity care providers and facilities. The purpose of this study was to examine county-level characteristics that influence Black women’s access to midwife-attended births across the U.S. Methods and Approach: Data on midwife-attended births were obtained from CDC WONDER for U.S. counties with populations of 100,000 or greater, and county-level characteristics were gathered from the Area Health Resources File. The dependent variable was the change in nurse-midwife-attended births from 2011 to 2023. Independent variables included changes in …

Associations Between Gad-7 And Phq-9 Scores And Willingness To Seek Treatment, Josephine Shaw

Undergraduate Research Symposium Posters

In recent years, mental health concerns among college students have increased significantly. This study aims to analyze data on student willingness and frequency to seek counseling services, such as UNLV CAPS (Student Counseling and Psychological Services), and the appeal of utilizing alternative interventions such as exercise and meditation. This study collected data from UNLV students, faculty, and staff through distribution of a scannable QR code. It included whether they were in therapy, the PHQ-9 and GAD-7, their respective functional impairment questions, and willingness to consider therapy alternatives. Based on respondents’ answers to the PHQ-9, the highest proportion peaked at 36% …

Real-Time Ai-Enabled Therapeutic Device For Improving Peripheral Perfusion And Glucose Regulation In Type 2 Diabetes, Torryana Tanis

Undergraduate Research Symposium Posters

Type 2 Diabetes Mellitus is frequently accompanied by peripheral microvascular disease, leading to impaired lower limb perfusion, impaired healing, and vulnerability to ulcers and amputation. The existing medical devices are predominantly aimed at systemic glucose control and do not have local therapeutic intervention to improve circulation or allow muscular glucose delivery. To meet this crucial demand, we have developed a portable, two-in-one biofeedback device that combines non-invasive blood glucose monitoring and Electronic Muscle Stimulation (EMS) therapy for the calf muscle. The glucose monitoring subsystem implements near-infrared (NIR) spectroscopy to measure skin light absorptance on the index finger. Real-time blood glucose …

Feasibility And Preliminary Efficacy Of Uneven Terrain Gait Training In Lower Limb Prosthesis Users, Gabriel Bacani, Dawn Ruby, Sara Hazen, Katie Bricarell

Undergraduate Research Symposium Posters

Lower limb prosthesis users (LLPUs) often feel less confident walking in their day-to-day lives. Even with rehabilitation, some individuals do not develop the skills and confidence needed to walk across different terrains. Walking practice on varied terrains may be a method for increasing skill and confidence. The purpose of this study is to assess the feasibility of implementing an uneven terrain training program for LLPUs. Three LLPUs completed a series of 12 training sessions on an uneven terrain treadmill. Participants walked for up to 12 trials per session with each bout lasting up to 2 minutes. The terrain increased in …

Supplement Use And Ed Self-Assessment Accuracy, Darin Beasley-Williams

Undergraduate Research Symposium Posters

The widespread availability of dietary supplements has contributed to their increased use, with over half of U.S. adults reporting regular consumption. Prior research suggests that supplement use is associated with better overall health, and regulatory legislation has been implemented to mitigate potential adverse effects. One motivation for supplement use may be self-diagnosed health issues; however, incorrect self-diagnoses could lead to inappropriate supplement consumption and potentially contribute to disordered eating patterns. This study examined whether regular supplement users are more accurate in self-identifying an eating disorder. A sample of 511 undergraduate students completed a self-report questionnaire assessing supplement use and eating …

Enhancing Student Success Prediction With Multimodal Machine Learning Models, Senay Berhe

Undergraduate Research Symposium Posters

This project explores how multimodal, fairness-aware machine learning models can enhance early prediction of student success while promoting equity in higher education. Traditional prediction models often rely on static academic or demographic data, which can unintentionally reinforce bias and overlook the complex, behavioral aspects of learning. Our approach integrates engagement metrics from learning management systems, academic performance data, and motivational survey responses to capture a more holistic view of student learning. The predictive framework emphasizes behavioral and psychological features that are both actionable and ethically sound, supporting real-time intervention through the iTOOLS platform. By focusing on engagement consistency and motivational …

Women’S Lived Experiences With Harassment In Gaming, Angelo Cordero, Alejandra Santos, Claudia Q. Luu

Undergraduate Research Symposium Posters

Background and objectives: Women in gaming communities face discrimination due to their gender; however, gaps exist in the literature in understanding how allyship helps mitigate harassment’s harmful effects. To address this, we conducted a qualitative study exploring women’s lived experiences of sexual harassment in gaming and how women perceive allyship in gaming communities. Methods and approach: We used an inductive thematic analysis to identify patterns in participants’ experiences. Our sample (N = 165) included adult women who identified as gamers, recruited from a university and various Discord gaming communities. Results: We uncovered six main themes regarding women’s harassment experiences in …

The Mathematics Of Motion: Applying Derivatives To Fluid Systems, Sayla Daily

Undergraduate Research Symposium Posters

Mathematical modeling through differential equations provides a basis for understanding change in physical and engineering systems. My project explores the transition from single-variable derivatives to multivariable partial derivatives and their applications in describing engineering applications. Beginning with the Fundamental Theorem of Calculus, derivatives are introduced as measures of change, quantifying relationships such as velocity and acceleration. The study then extends to partial derivatives, which represents systems influenced by multiple variables, including spatial and temporal factors. These principles are applied to model fluid motion, and pressure gradients, including the Navier–Stokes equations governing fluid dynamics. By linking mathematics with engineering applications, this …

Digital Twin Of The Unlv Campus For Safe Autonomous Vehicle Simulation, Carlos Funes

Undergraduate Research Symposium Posters

With the rise of artificial intelligence and machine learning algorithms, self-driving cars are becoming increasingly prevalent on our roads. By utilizing these technologies, we can reduce the number of accidents caused by distracted driving. Before implementing these systems in vehicles, however, it is essential to conduct numerous tests. Traditional evaluation of driverless cars on real-world roads can be both expensive and hazardous. To address this, creating a digital twin of an actual road minimizes unexpected hazards, allowing researchers to safely and efficiently test self-driving car programs in high-risk scenarios using computer simulations. This research outlines the process of generating a …

Diving Video Analysis Using Multitask Learning Action Quality Assessment (Mtl-Aqa), Taylor Gauthier

Undergraduate Research Symposium Posters

In many sports, videos are being used to assist in judging. For example, they are being used to review quick actions or confirm the actions being performed. For diving specifically, the videos of a dive can be at most 3 seconds long, and divers can perform a range of somersaults and twists within that time frame, all of which affect the score, classification, and dive number. Using these videos, a Multitask Learning Action Quality Assessment (ML-AQA) program, based on machine learning, from a vast dataset, is able to produce an Action Quality Score out of 100, Factorized Action Recognition (classifications), …

Hawaiian Drosophila Host Plant Preferences, Kyrus Huang, Rodomir Stark

Undergraduate Research Symposium Posters

Understanding how host plant availability influences behavior in Drosophila species provides valuable insight into ecological specialization and speciation. This study examines the effects of different host plants on the reproductive and oviposition behavior of Drosophila silvestris and Drosophila grimshawi. The primary objective of this project is to determine whether females exhibit host-plant preferences during egg-laying. A secondary aim is to assess whether sex and mating status influence host plant preference, specifically comparing male, unmated female, and mated female behavior with two host plants. To test these hypotheses, newly emerged flies were divided into three treatment groups: male-only, female-only, and mixed …

Assessing How Early Vs. Late Exercise Influences Whole Body Glucose Tolerance And Insulin Signaling Pathways In Quadriceps During Social Jetlag, Ariana Khzarjyan, Austin Cooper, Paula Martinez, Joshua Corpuz, Srushti Wagh, Elias Malek, Todd Schrubb

Undergraduate Research Symposium Posters

BACKGROUND: Circadian rhythms regulate our physiological and metabolic processes throughout a 24-hour cycle. Disruptions to this rhythm with modern lifestyles creates irregular patterns. One of the most common forms of circadian rhythm disruptions amongst humans happens during the weekends, when people tend to stay up later and sleep in later compared to weekdays. This phenomenon is referred to as social jetlag (SJL).

PURPOSE: To determine whether timed exercise (early vs. late) can reduce the negative effects of social jetlag in mice. More specifically, determining whether exercise conducted in the early or late active phase of mice will impact the effects …

Preparing For The Artificial Intelligence (Ai) Economy In The Mountain West, 2025, Kian Parikh, Taylor Volk, Maisoon Faris, Kristian Thymianos, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents data from the Brainly report, “Here Are the States Most (and Least) Prepared to Win the AI Race in 2025” for the five Mountain West states of Arizona, Colorado, New Mexico, Nevada, and Utah. This fact sheet highlights the national and individual rankings of four key metrics for each Mountain West state: the fixed percentage of businesses using artificial intelligence (AI); the number of AI jobs per 1,000 workers; the number of AI-related degrees per 10,000 people ages 20-24; and federal funding for small business technology innovation per $1 million of gross domestic product (GDP).

Trump’S Lasting Impact On The U.S. Presidency, Imer Kj Cespedes-Alvarado

Political Science Student Research

The first presidency of Donald J. Trump had a lasting impact on the American Presidency, expanding executive power through robust assertions of constitutional power, unconventional communications, and an unprecedented disregard for political norms. The two terms further blurred the line between governance and personal branding, cultivating this new model of leadership that depends on constant public exposure and polarization among the American people. This research examines how Trump's executive power and political tactics during both of his presidencies redefined expectations of presidential behavior and accountability by consolidating executive authority, reorganizing federal institutions, and placing even greater emphasis on loyalty and …

Use Of Calcium Modification In Percutaneous Coronary Intervention: A Comprehensive Review, Noyan Ramazani, Ala W. Abdallah, Michael V. Dicaro, Divyansh Sharma, Aditi Singh, Kachon Lei

Department of Internal Medicine Faculty Research

Calcified coronary lesions remain a challenge in percutaneous coronary intervention (PCI) in both situations of acute myocardial infarction (MI) and stable coronary syndrome. It significantly increases the risk of procedural complications due to difficulty in equipment delivery, balloon expansion, and stent delivery. Furthermore, stent thrombosis, dissection, perforation, and future in-stent restenosis occur more frequently in calcified coronary lesions, impacting repeat target vessel revascularization and increasing the risk of future MI. With intracoronary imaging (intravascular ultrasound and optical coherence tomography), peri-procedural success for treating calcified lesions has increased significantly. Different modalities of calcium modification techniques have since been introduced. This review …

Rural County International Immigrant Population Growth In Nevada, 2020-2024, Yiselle Olivas Ruiz, Anirudh Polagani, Mohit Pande, Olivia K. Cheche, William E. Brown Jr.

Demography

This fact sheet presents 2020-2024 data on international immigrant population growth across 17 Nevada counties.The Daily Yonder report, “International Immigrants Drive Rural Population Growth,” uses U.S. Census data to highlight international immigration patterns for all metropolitan and nonmetropolitan (rural) counties across the United States. This fact sheet highlights data on 13 nonmetropolitan counties in Nevada: Churchill, Douglas, Elko, Esmeralda, Eureka, Humboldt, Lander, Lincoln, Lyon, Mineral, Nye, Pershing, White Pine. This fact sheet also includes data on four metropolitan counties in Nevada: Carson City, Clark, Storey, and Washoe.