Digital Commons Network^™

Predicting The Probability Of Having Diabetes Using Machine Learning, Logan C. Stewart

Research & Creative Achievement Day

Each year the Centers for Disease Control and Prevention (CDC) distribute the Behavioral Risk Factor Surveillance System (BRFSS) telephone surveys to acquire nationwide data about US residents' health. This survey collects data on hundreds of health-related variables from hundreds of thousands of participants. It is a powerful tool for building health promotion and has even influenced and supported health-related state legislation. This study uses that data to predict an individual's probability of having diabetes based on dietary, demographic, health, and economic factors. Diabetes is a group of diseases that causes the body to use insulin ineffectively, and one in four …

Fifteen Years Of The Abc-Ahp-Ncnpr Botanical Adulterants Prevention Program: What Have We Learned?, Stefan Gafner, Roy Upton, Mark Blumenthal, Ikhlas Khan

Oxford ICSB

Initiated in 2011, the Botanical Adulterants Prevention Program (BAPP) was created as a partnership between the American Botanical Council, the 2American Herbal Pharmacopoeia (AHP), and the National Center for Natural Products Research (NCNPR) at the University of Mississippi to educate the herbal dietary supplement industry, regulators, and scientists in academia about adulteration of botanical ingredients. The ultimate goal of the Program was to improve the authenticity and quality of herbal dietary supplements to the consumer. Since its inception, the Program has published 100 peer-reviewed documents. Despite herbal ingredient suppliers’ and dietary supplement manufacturers’ implementation of changes in quality control specifications, …

Exploring Reaction Times In D1 Female Volleyball Players, Lydia Seymour

GS4 Student Scholars Symposium

The purpose of this study was to examine reaction time in a group of Division I female volleyball athletes. Data was collected over a consecutive four-week timespan using the Dynavision D2 training system. The Dynavision D2 training system consists of a mounted board with a series of light-up buttons and a screen in the middle, also referred to as the t-scope. In this study, buttons would light up, at random, for one second at a time. Athletes were tasked to press each button as fast as possible before the next button would light up. In addition, the t-scope screen presented …

Modeling Social Media Mob Dynamics Using A Hybrid Scvir System With Time-Varying Parameters And Recurrent Neural Networks, Noushin Gauhar

GS4 Student Scholars Symposium

In this work, we develop a discrete-time susceptible-counter-infected-vaccinated-recovered (SCIVR) epidemiological framework to model the spread of mob-like information on social media. The model captures the interaction between susceptible neutral attention, infected mob-spreading narratives, counter or corrective discourse, low-visibility (vaccinated) content, and collective disengagement. COVID-19 twitter data were transformed into daily compartmental aggregates using sentiment polarity and retweet-based visibility thresholds, facilitating high-resolution modeling of information diffusion processes. The dataset comprises globally collected tweets between April and June 2021, filtered using keywords including “COVID19”, “coronavirus”, “quarantine”, “socialdistancing”, “staysafe”, “stayhome” and “lockdown”. Qualitative analysis of the SCIVR system includes derivation of the mob-free …

Optimal Control Analysis Of Mob Dynamics Using Generation Z Youtube Channel Behavior, Tahidu Alhassan

GS4 Student Scholars Symposium

Digital media communication technologies have changed how people organize and act together. During the Generation Z event, social media platforms (e.g., X, YouTube, Facebook) played a major role in spreading information and mobilizing collective actions online and offline. In this work, we modified a mathematical dynamic model of the social media mob using an optimal control technique to adjust the rate of spread in response to social interactions. We examined the susceptible-quarantined-counter-infective-recovered (SQCIR) epidemiology model on a YouTube dataset covering Gen-Z data spread in Nepal from 8 to 13 September 2025. Using high-temporal-resolution real-world social media data will help to …

Assessment Of Airborne Cultural Fungi Indoors And Outdoors In A Rural Veterinary Clinic, Elena Ortez, Oluwatosin Jegede, Dorothy Seybold, Daeshjea Mcgee, Atin Adhikari, Ally Holmes

GS4 Student Scholars Symposium

Background and Objectives: Veterinary clinics can inadvertently release and propagate bacteria through several mechanisms, primarily due to contaminated surfaces, insufficient cleaning protocols, and, in some instances, direct transmission from infected animals or staff. Given that these clinics are high-traffic environments, they can serve as hotspots for clinic-acquired infections if rigorous hygiene practices are not upheld. This study evaluated airborne bacterial concentrations in different areas of a veterinary clinic compared to outdoor ambient air by calculating the indoor-to-outdoor ratios.

Methods: Airborne culturable bacterial samples were collected using a Biostage Impactor across eight internal zones including waiting areas, treatment rooms, and wards …

Coupling Deep Learning With Time-Dependent Scir Model For Predicting Social Media Mob Behaviors, Bismark Ampaw Offei

GS4 Student Scholars Symposium

In this study, we modified an epidemiological model of social media mob using deep learning methods to investigate information transmission using COVID-19 Twitter data from April to June 2021. Data collection was done using keywords, such as “covid 19”, “vaccine”, “lockdown”, and “quarantine” to simulate activity trends during the pandemic. In this work, we combine deep learning methods, including LSTMs and GRUs, with the susceptible-counter-infective-recovered (SCIR) model to forecast time-dependent parameters. Primary qualitative analyses, including the social media mob free equilibrium (MFE) point, the endemic equilibrium point, and the basic reproduction number ℜ₀, were performed. Our analysis shows …

Effects Of Exercise And Neuromuscular Stimulation On Neuroplasticity And Inflammation In Those With Dementia Risk, Kaitlyn J. Tanner, Collis D. Grace, Morgan A. Gragg, Lisa B. Niles-Meunier, Nicholas J. Siekirk

GS4 Student Scholars Symposium

BACKGROUND: Cognitive decline, prevalent in Alzheimer’s Disease and Related Dementias (ADRD), heightens fall risk. Exercise interventions can reduce fall risk by slowing or delaying cognitive decline. Use of multi-waveform neuromuscular electrical stimulation (MWF-NMES) as an exercise adjunct may enhance neuroplasticity in areas associated with postural control. Whether NMES can improve postural control outcomes is not well-documented. Therefore, we will examine the effect of multi-waveform NMES on postural control in adults at risk for ADRD. METHODS: Participants will be recruited from an assisted living community in Southeast Georgia. Interested participants who meet the inclusion criterion will be stratified by sex …

A Balaam-Modified Approach To Largo-Like Parkinson’S Trials: Efficient Estimation Of Rasagiline Effects Under Motor Fluctuations, Purbasha Biswas, Jing X. Kersey, Karl E. Peace

GS4 Student Scholars Symposium

The LARGO trial established rasagiline (1 mg/day) as an effective adjunct to levodopa in Parkinson’s disease (PD) patients with motor fluctuations, demonstrating clinically meaningful reductions in daily “off-time” (poor or absent motor function) and improvements in Unified Parkinson’s Disease Rating Scale (UPDRS)/Clinical Global Improvement (CGI) endpoints compared with placebo. Building on this evidence base, we propose a design strategy that re-uses LARGO-like assumptions while improving statistical efficiency for future PD evaluations of rasagiline versus placebo. Methodologically, we leverage key results emphasizing the Balaam 4-sequence, 2-period design (AA, AB, BA, BB). Under the standard crossover model with direct and carryover effects, …

Determinants Of Infant Birth Weight In Georgia: An Analysis Of The Prams 2016–2020 Study, Purbasha Biswas, Jing Kersey

GS4 Student Scholars Symposium

The Georgia PRAMS 2016–2020 data were used to assess whether maternal smoking during pregnancy is associated with infant birth weight among singleton live births while accounting for key sociodemographic factors. Birth weight recorded in 250-gram midpoints was converted to a continuous gram measure and analyzed with maternal smoking status, age group, education, and marital status. A complete-case strategy was used because missingness was < 10%, yielding an analytic sample of 3,175 observations. We fit an ordinary least squares multiple linear regression with categorical predictors represented by indicator variables. After adjustment, infants born to non-smoking mothers weighed, on average, 163.5 g more than infants born to mothers who smoked (SE=66.2; p = 0.0136). Infants of mothers who were not married weighed 150.4 g less than those of married mothers (SE=30.9; p < 0.001). The maternal age group was not statistically significant in the adjusted model. Education showed a non-monotone pattern, with one notable contrast indicating lower birth weight for 12 years of education compared with 0–8 years (mean=−190.3 g; SE=76.3; p = 0.0127), suggesting education may be acting as a proxy for heterogeneous social, behavioral, and healthcare pathways rather than a purely linear gradient. Model diagnostics indicated acceptable linear model assumptions and minimal multicollinearity (adjusted variance Inflation Factor (VIF) near 1), though the overall explained variance was modest (R² ≈ 0.02). These findings are consistent with fetal growth restriction linked to prenatal tobacco exposure and broader social disadvantage. From a public health perspective, even modest average shifts in birth weight can meaningfully affect the population burden of low birth weight. Results support reinforcing prenatal smoking-cessation interventions and pairing them with strategies that address upstream determinants (e.g., stress, support, and access to care). Future work should incorporate survey weights and additional clinical covariates (gestational age, parity, comorbidities, prenatal care) to strengthen causal and population-level inference.

Ai-Powered Quantum Sensing For Non-Invasive Diabetes Monitoring System, Anichur Rahman, Airin Afroj Aishi, Md Shohel Rana

GS4 Student Scholars Symposium

Diabetes is a common disease prevalent among a large population of the world, requiring continuous monitoring of blood glucose levels to prevent severe complications of the disease. Currently, continuous glucose monitoring technologies often use invasive and minimally invasive sensors that are not only uncomfortable for the patient but also limit the usability of the device. This project aims to explore cutting-edge technology for continuous glucose monitoring through the fusion of artificial intelligence techniques and novel quantum sensing technologies. A novel framework is proposed for the fusion of machine learning techniques with novel quantum-inspired sensing techniques to improve the accuracy of …

Multigraded Betti Numbers Of Squarefree Monomial Ideals From Maximal, Nonattacking Rook Arrangements, Gwendolyn Flaherty

GS4 Student Scholars Symposium

This project investigates algebraic structures that arise from combinatorial constructions using tools from commutative algebra, combinatorics, and topology. Many natural combinatorial objects give rise to squarefree, pure monomial ideals. One can construct minimal free resolutions of these ideals and study their graded and multigraded Betti numbers, which measure the complexity of the resolution. The connection between monomial ideals and Betti numbers is provided by Hochster’s formula, which expresses the Betti numbers of a squarefree monomial ideal in terms of the reduced homology of associated simplicial complexes.

The primary goal of this work is to develop combinatorial interpretations of these Betti …

Breaking The Silence - Involving Juveniles On Probation In Music Production, Emma Harrison

Undergraduate Research and Engagement Symposium

My presentation talks about getting juveniles on probation involved with music production through my program, entitled Breaking the Silence. This presentation will dive into why, when, where, and who is involved in program planning put on by Family Court, the effects involvement in programs has on rehabilitation, and how we can use Breaking the Silence to break the silence on the stigma surrounding juvenile offenders.

The Night Ministry Internship Experience, William J. Schroering

Undergraduate Research and Engagement Symposium

The Night Ministry has three pillars (Human Connection, Housing, and Healthcare). I shared some of the work I completed and what I learned. I explained the housing first, harm reduction models, along with the Chicago Continuum of Care program,

Biophysical Characterization Of Protein-Lipid Interactions Using Suv Model Membranes, Nick Pufall

Undergraduate Research and Engagement Symposium

Membrane protein–lipid interactions are critical for cellular signaling but are difficult to study in controlled systems. Here, we synthesized small unilamellar vesicles (SUVs) from DOPC and DOPS lipids using freeze–thaw cycles and extrusion to achieve low polydispersity. SUV size strongly influenced lipid accessibility: highly curved vesicles (<100 nm) introduced packing defects that will enhance lipid transfer to bovine serum albumin (BSA), while larger vesicles show reduced transfer due to tighter packing. DLS and fluorescence measurements support increased stabilization of protein–lipid complexes in smaller SUVs. Differences between DOPC and DOPS further highlight the role of lipid composition in regulating protein–membrane interactions.

Legal Internship Experience, Abigail Jalso

Undergraduate Research and Engagement Symposium

This presentation summarizes my internship experience at Grcic Law LLC focused on applied legal and policy research within municipal government contexts. During this internship, I completed two primary projects involving comparative legal analysis and regulatory evaluation. The first project examined firearm sales regulations in the Village of Niles, Illinois, analyzing local ordinances alongside Illinois and federal law to assess how firearm sales are structured, restricted, and enforced across different levels of government. The second project evaluated a proposed Niles ordinance regulating e-bikes and e-scooters by comparing it with existing municipal policies in Elk Grove Village, Schaumburg, and Deerfield.

Across both …

Comparative Analysis Of Skeletal Visualization Techniques In Parazen Pacificus, Aaryan Kaushik

Undergraduate Research and Engagement Symposium

The skeletal system provides important information in development and evolutionary studies. Multiple techniques to prepare skeletal material for study have been developed. For example, CT-scanning is a powerful tool for rendering high resolutions 3-D skeletal images with virtually no specimen damage. Clearing & staining methods render bone red, cartilage blue, and flesh transparent, but are destructive to specimens, and traditional X-raying, which is more cost efficient, but reduces a three-dimensional object into two. This study examines techniques for studying fish skeletal anatomy. Advantages and disadvantages of each are discussed to help determine the most efficient technique for a given purpose.

Religions In Chicago, Pranav Konakondla

Undergraduate Research and Engagement Symposium

For my research on religions on asia, I visited a Buddhist temple in Chicago multiple times and learned about their history and practices. Other people in my class went to different religious locations. We created a presentation together on our experiences at these Asian religious sites in Chicago.

Macroplastic Litter In A Rural Lake: Biomass Characteristics Relative To Natural Surfaces, Alyssa Younus

Undergraduate Research and Engagement Symposium

Plastic pollution is increasing worldwide and persists in aquatic ecosystems due to its durability. In lakes, plastic can act as habitat for microbes, invertebrates, and fish. This study is part of a larger experiment examining how floating debris influences aquatic communities. Conducted in summer 2024 at Lake 302 in Ontario’s Experimental Lakes Area, floating plots contained either plastic litter or wood. After 56 days, biofilm samples were analyzed for chlorophyll a concentrations and biofilm biomass. Both were significantly higher on wood, suggesting plastic’s properties limit algal growth. These findings indicate plastic may be a less suitable habitat and could impact …

Social Justice Internship 2025-26: One Northside, Johanna Rodriguez Osegueda

Undergraduate Research and Engagement Symposium

This presentation showcases my experiences and lessons-learned as an Environmental Justice Intern at ONE Northside. This opportunity was made possible through the Social Justice Internship Program at CELTS. This presentation includes reflections about my growth, participation in environmental campaigns, and organization-wide events.

The Impact Of Prior Abusive Dating Experiences And Gender On Romance Scam Victimization And Monetary Loss, Trevor Rowe

Undergraduate Research and Engagement Symposium

Online romance scams are a rapidly expanding cybercrime that affects millions of people each year, financially and emotionally. This study examines an underexplored question: Will individuals with a greater number of abusive partners be more vulnerable to romance scam victimizations and lose more money?  Adult dating app users (N = 518) completed an online survey. After controlling for being approached for relationships, those with a greater number of past abusive partners were more likely to be victims and lost more money. In addition, men reported a higher frequency of romance scam victimizations and more money loss.

Protein-Lipid Interactions Using Model Membrane And Native Membrane Vesicles, Nick Pufall

Undergraduate Research and Engagement Symposium

This project explores how proteins interact with lipid membranes using both simplified model vesicles and more complex native membranes. Small unilamellar vesicles (SUVs) were synthesized and characterized to study lipid binding with bovine serum albumin using fluorescence techniques. While model membranes provide control, they lack the complexity of real cellular environments, so native membranes were also investigated to better capture protein–lipid interactions. By comparing these systems, this work aims to better understand how lipids are transported and delivered within cells, and how these processes influence signaling and membrane protein function.

Enhancing Elementary School Projects Aimed Towards Education On Perennial Vining Plant Green Walls That Lower Surface Temperatures In Urban Cities​, Conor J. Mcguire

Undergraduate Research and Engagement Symposium

Anthropogenic climate change has signaled a rise in global temperatures for decades, and urban cities have been the victims of some of the most extreme heat from those temperature increases. Green walls are used to shade and cool buildings, especially in urban areas, but are not widely adopted. Education programs aimed towards providing students with an understanding of green wall benefits and an ability to get involved in the research of these walls.

Exploring Attentional Mechanisms Of Speech-Gesture Integration, Lisa Gallo, Elizabeth Wakefield

Undergraduate Research and Engagement Symposium

Gestures are hand movements that provide information and can clarify ambiguous speech. For example, in the sentence “Sparky is a pet”, the type of pet is unclear; however, if the speaker produces a flapping arm gesture, listeners could infer that Sparky is a bird.

Despite gestures sometimes providing the only information needed to resolve ambiguity in a spoken message, not all individuals integrate gesture into their understanding of speech (e.g., Winter & Duffy, 2020; Demir-Lira et al., 2018). The mechanisms underlying this variability remain unclear.

Here, we investigate one potential mechanism supporting integration: visual attention to gesture. We ask:

1) …

Guna Nuchukana Figurines In The Father Grollig Legacy Collection, Haley Dozier

Undergraduate Research and Engagement Symposium

From 1961-1962, Captain Kitt S. Kapp travelled throughout Panama on his Kapp-Darien Expedition. While his academic interests mainly pertained to fabrics from the Guna people, he also obtained many Nuchukana figurines, which are carved wooden figures created to ward off spirits that cause illnesses. Later in his life, Kapp donated his collection to places like the Smithsonian and British Museum. At some point, eleven Nuchukana figurines found their way into the hands of Father Francis Grollig, who founded the Department of Anthropology at Loyola and collected many artifacts from around the world. Upon Grollig’s death, a part of his collection …

Method Development Of Extraction And Measurement Of Heavy Metals From Chicago Industrial Corridor Soil Samples, Abigail Stacy, Lizzy Bruening

Undergraduate Research and Engagement Symposium

Heavy metal pollution threatens environmental and human health, particularly in urban areas with long industrial histories. This study explored soil analysis methods for heavy metal detection, comparing acid digestion with nitric acid and acid washing with citric and oxalic acid. Graphite furnace atomic absorption spectrometry (GFAAS) was used to quantify copper, cadmium, chromium, and lead in soil samples. While acid washing is a greener method, the results were less consistent than the acid digestion method. By identifying the most effective procedure for assessing heavy metal contamination, this research enhances environmental assessments and contributes to improved mitigation strategies to address pollution.

The Polysemous Word Flow Task: A Novel Way Of Understanding Creativity, Brady Flanagan

Undergraduate Research and Engagement Symposium

Creativity is defined as the generation of new ideas to solve problems and likely involves the interplay of three brain networks:, the Default Mode Network (DMN), the Executive Control Network (ECN), and the Salience Network (SN). The recently developed Polysemous Word Flow Task (PolyFT) may serve as a model to assess triple network activity. In this study, we plan to use Structural Equation Modeling (SEM) to correlate two components of the PolyFT, clustering and switching, with the triple network model. We predict that the clustering component is tied to DMN function while the switching component is tied to ECN function.

Ceramics From The Central Valley Of Oaxaca?, Brianda Gonzalez

Undergraduate Research and Engagement Symposium

This is an ongoing project that initially aimed to identify a selection of ceramic sherds from the Father Grollig Legacy Collection. “Legacy collection” refers to the fact that it was not curated according to modern standards, including a lack of proper documentation. With several scholarly sources in the field of archaeology and feedback from other scholars, my goal became to get as close an identification as possible. This research has demonstrated that even with significant time and effort dedicated to a legacy collection, the answers will not always be straightforward.

An Analysis Of Soil Moisture Under Different Atmospheric Conditions, Justin Peabody

Undergraduate Research and Engagement Symposium

This project presents analysis of data from a field research site at the Loyola University Retreat and Ecology Campus. Data was collected from soil moisture  sensors installed in onsite pots. This project provides preliminary assessment of quantitative relationships between soil moisture, atmospheric temperature, and precipitation, as well as preliminary indications of water absorption rates by uncovered soil. Funding was recently obtained from the Alvin J. Baum Foundation to install soil cover materials, temperature sensors and precipitation gauges onsite, allowing for more accurate assessment of relationships and comparison of rainwater absorption rates between various ground surfaces on the Lakeshore Campus.

Flex Lab Noise Minimization, Zyanne Fulcher, Nathan Carandang, Maddux Chan

Undergraduate Research and Engagement Symposium

This presentation describes the process of minimizing noise in the Flex Lab. Built in 2018, the Flex Lab is a large open space divided into three classrooms with two study areas in between. Its open design allows noise to travel easily, often distracting students and educators. During the Fall 2026 semester, our group of five collected data on noise levels and developed and tested solutions. Based on our findings, we designed a two-way AV system to reduce noise disruption and support student learning. This project strengthened our teamwork and enhanced our problem-solving skills.