Digital Commons Network^™

Propasafe-Hybrid: A Text-Based Hybrid Propaganda Detection Tool (Ila 2026 Presentation), Thomas Kimmeth, Avijit Roy, Vivek Sharma

Publications and Research

This presentation introduces Propasafe-Hybrid, a hybrid system for sentence-level propaganda detection that combines offline transformer-based classification with selective large language model (LLM) explainability. The system employs a two-stage pipeline in which a local BERT-based classifier evaluates all input text and filters non-propagandistic content, while only high-confidence candidates are forwarded to an LLM for rhetorical technique labeling and explanation. This design enables cost-aware, privacy-conscious, and scalable analysis by reducing unnecessary reliance on external models.

Propasafe-Hybrid identifies propagandistic techniques such as loaded language, obfuscation, and appeal to fear, and generates concise natural language rationales that make these techniques interpretable to users. By …

The Oberlin Parking Problem: The Pet Peeve And The Potential Payoff Of Asking Questions, Danielle Leydon

Research Symposium

No abstract provided.

Life Cycle Of A Dentist - Insight For The Journey, James R. Schroeder Dds

Virginia Dental Journal

No abstract provided.

An Osha Inspection, Henry M. Botuck Dds

Virginia Dental Journal

No abstract provided.

Va Dent J April, May And June 2019

Virginia Dental Journal

No abstract provided.

Developing Self-Determination Through Physical Activity Courses In Inclusive Post-Secondary Education Programs, Shannon P. Zimmerman, Samantha Ross-Cypcar, Peter R. Giacobbi, Lesley Cottrell, Emily Murphy, Andrea Taliaferro, Jeanette Garcia

Developmental Disabilities Network Journal

Adults with intellectual and developmental disabilities (IDD) often experience low physical activity levels, with only 23% meeting recommended guidelines, increasing their risk for secondary health conditions. Inclusive Post-Secondary Education (IPSE) programs in the U.S. present an opportunity for physical activity promotion. This study examined physical activity strategies across a national sample of IPSE programs (n = 27) using a sequential mixed-method approach, including surveys and follow-up interviews, focusing on alignment with Self-Determination Theory (SDT). While 70.37% of programs offered formalized physical activity courses, all promoted physical activity informally. Common practices included peer mentorship (96.3% of programs), goal setting (100%), and …

Measuring Disability Prevalence In Healthcare: A Study Comparing Two Disability Measures, Kristen L. Milefchik, Rhonda K. Dailey, Sharon Milberger

Developmental Disabilities Network Journal

People with disabilities experience significant health disparities and interventions are needed to address them. Measuring disability prevalence is an essential aspect of designing effective, data-driven healthcare strategies. Accurately measuring disability prevalence is challenging given disability is a complex phenomenon, with biological, social, environmental, and cultural components. Previous studies have compared a variety of disability status measurements and found that measurements were incongruent with each other. This study examines the concordance between disability status using two different measures: the nationally recognized American Community Survey (ACS-6) functional difficulty questions and one disability identity question. We used data from 3,621 adult patients participating …

Calculating The Abundance Of Primordial Black Holes, Babel Barm, Cole Owen Bucholtz

Undergraduate Research and Engagement Symposium

This project aims to understand the formation of primordial black holes (PBHs) in the early universe. PBHs are hypothetical black holes formed shortly after the Big Bang. They are fascinating because they might explain mysterious cosmic phenomena like dark matter or the origin of supermassive black holes. To estimate how many PBHs could have formed, we will use two different mathematical models: the Press-Schechter formalism and the theory of peaks. Comparing these methods will help us test the reliability of current theories and guide future astronomical observations.

Interference Colors To Thickness: Measuring Thin-Film Dynamics With A Camera And Arduino, Babel Barm, James Knott

Undergraduate Research and Engagement Symposium

In this project, we studied how the thickness of a soap film can be measured using the colors created by thin-film interference. When light shines on a soap film, some light reflects off the front surface and some off the back surface. These light waves combine and create colorful patterns that depend on the film’s thickness. By observing these patterns, we can learn how the thickness of the film changes over time.

We used two methods to collect data: a camera to capture the colors of the film and a phototransistor connected to an Arduino to measure the intensity of …

Modeling The Influence Of Environmental Factors On Invasive P. Clarkii Catch Per Unit Effort In An Urban River System, Penelope Reynolds, Reuben Keller, Rachel Anelise Rogers

Undergraduate Research and Engagement Symposium

Procambarus clarkii is an invasive crayfish species that has recently become established in the North Shore Channel of the Chicago River. The Keller Lab has been intensively trapping P. clarkii in the NSC and collecting data for the past eight years with the goal of reducing population growth and species spread. My research will use our collection of data and analyze it against multiple different environmental variables to explore the potential relationships between P. clarkii catch-per-unit-effort and environmental conditions. These relationships could provide insight on future trapping methods to maximize our invasive species removal efforts.

Alpha And Beta Particle Motion Ray Tracing In A Cloud Chamber, Faiza Nadeem, Florence Pan, Ryan Madera

Undergraduate Research and Engagement Symposium

This project investigates particle motion within a cloud chamber using a thoriated electrode and Helmholtz coil to artificially “create” alpha and beta particles, respectively, within the chamber. To quantify the motion of these particles, we monitor the chamber’s internal conditions using an Arduino micro-controller and trace the particles’ paths of motion using a video analysis software called Fiji. The value of this research comes from the experimental process itself because it necessitates the use of programming skills, a comprehensive understanding of complex physical principles, and an intensive data collection process by undergraduate students.

Construction Of A Geiger-Müller Counter, Katie Siobhan Bennett, Benjamin Allen Murdoch

Undergraduate Research and Engagement Symposium

Our investigation describes the construction of a Geiger-Müller Counter from an Arduino Uno kit. With the use of some resistors, a breadboard, DC powersource and a Geiger tube, and other miscellaneous supplies, we were able to not only physically build the circuitry for the Geiger-Müller Counter, but we were also able to program it to produce sounds, lights, and a display screen to show the count rate of the sources used. This investigation allowed for a comparison between our system and an industrial-grade counter, as well as demonstrated the simplicity of creating expensive equipment with accessible and affordable materials.

Can A Different Research Poster Format Increase Attendee Engagement? A Case Report., Elizabeth M. Ardolino, Kelli Nielsen, Mike Morrison, Jane E. Sullivan

Journal of Innovation in Health Sciences Education

Introduction: Poster sessions are a widely used method of knowledge dissemination at professional conferences, yet their effectiveness in promoting engagement and knowledge transfer is uncertain. Traditional poster formats often follow a dense, text-heavy structure that may contribute to cognitive overload. Billboard-style posters, grounded in Cognitive Load Theory, offer an alternative design intended to enhance clarity and engagement.

Methods: This case report describes a three-year implementation (2022–2024) of billboard-style posters at the Academy of Neurologic Physical Therapy Annual Conference. Attendees were invited to complete a brief survey after viewing either traditional or billboard-style posters. The survey assessed engagement (time spent reading …

Innovative Framework And Checklist For Enhancing Interprofessional Education: A Literature Review Of Program Design, Delivery, And Outcome Measurement, Stacy Castronova, Lori Rainchuso

Journal of Innovation in Health Sciences Education

Introduction: This dual-focused study aimed (1) to conduct a comprehensive literature review of interprofessional education (IPE) initiatives across health disciplines to examine collaboration patterns, delivery methods, validated assessment tools, and outcome measures and (2) to develop an evidence-informed framework and checklist, based on the findings and identified gaps, to improve the standardization and reporting of IPE programs.

Methods: A comprehensive literature search was conducted across three professional databases, targeting peer-reviewed publications from 2012 to 2024. Inclusion criteria prioritized studies that provided detailed descriptions of IPE intervention delivery, utilized validated measurement tools, and demonstrated participant engagement to ensure the selection …

Neurons Of Bias: Power-Mediated Compliance And Mitigation In Large Language Models, Anubhav Gupta, Otavio Rosa, Mahammed Kamruzzaman, Gene Kim

Bellini College REU Symposium (BCREUS)

Introduction & Problem Statement

Large language models (LLMs) are increasingly deployed in sociotechnical systems involving power, authority, and compliance, raising important questions about fairness, consistency, and reliability across diverse user populations. As these systems are integrated into hiring tools, customer service systems, assistive technologies, and decision-support pipelines, they are expected to operate consistently regardless of the identity they are prompted to adopt. However, when demographic attributes are introduced into prompts, model behavior may shift even when identity does not change the underlying task.

In power-mediated settings, such variation is especially important because differences in compliance, refusal, or loophole-seeking behavior may …

Misty: An Llm-Driven Recipe Recommender Robot, Alina Pineda, Stuti Goyal, Jingjing Li, Zhao Han

Bellini College REU Symposium (BCREUS)

Introduction & Problem Statement

Meal planning requires balancing nutritional needs, available ingredients, and user preferences, which can be time-consuming and cognitively demanding. While mobile recipe applications provide personalized recommendations, they lack interactive and socially engaging communication. In contrast, social robots such as Misty enable expressive interaction through speech, gestures, and emotional cues, but typically rely on rigid, pre-programmed behaviors and lack domain-specific knowledge for tasks such as recipe recommendation.

This gap highlights the need for a system that combines the strengths of both technologies. Recipe recommendation is inherently multimodal, requiring both social interaction for engagement and visual presentation for detailed …

An Evaluation Of Biologically-Inspired Slam Models Against Traditional Models, Colby Mullins, Asadbek Nematov, Ross Volenec, Chance Hamilton, Alfredo Weitzenfeld

Bellini College REU Symposium (BCREUS)

This research presents a comparative analysis of biologically-inspired SLAM models (RatSLAM [2], SeqSLAM [3]) versus traditional feature-based geometric SLAM (ORB-SLAM3 [1]) to establish a standardized framework for evaluating accuracy, robustness, and computational efficiency under varying environmental conditions. To ensure an equitable baseline, models are subjected to a unified testing pipeline across real-world datasets (Oxford RobotCar clear and overcast sequences) and controlled Webots simulations (day/night and seasonal centerlines) using timestamp-aligned 480p monocular PNG images. Within this pipeline, pose estimations are standardized to the TUM trajectory format, and spatial alignment and scale correction are applied via the evo evaluation library [4] to …

Risa: Robotic Interface For Sit-To-Stand Assistance, Hieu Tran, Rinat Mynnakhmetov, Ricardo Frumento Sr, Yu Sun

Bellini College REU Symposium (BCREUS)

Mobility limitations in older adults are expected to become increasingly prevalent, along with the larger proportion of the world’s elderly population over the next decades [1]. Among these problems is the difficulty many elderly individuals face when transitioning from a seated to a standing pose. Loss of lower-body strength and balance makes this daily activity near impossible without assistance. To address this motor impairment, solutions were developed. For example, the Elderly Bodily Assistance Robot (E-BAR) provides body-weight support using handles, pulleys, and frames [2]. While these systems demonstrate the feasibility of robotic assistance, they present key limitations. Firstly, mechanical designs …

Hacksee: Security Platform For All, Jamie Giarratana, Mohamed Eltonamly, Ben Gipalo, Robert Karam

Bellini College REU Symposium (BCREUS)

HaCKSEE intends to provide an online hardware security training platform to educators at a reduced cost. By centralizing physical experiment hardware to a provisioning service and implementing timesharing via a dynamic queue system and custom hardware, we can dramatically reduce costs while retaining a familiar workflow. HaCKSEE allows students to flash custom firmware and experiments to experiment boards and return outputs (e.g. power-consumption data) to be displayed in the development environment.

HaCKSEE offers a new approach that enables educators and trainees to get started without the high barrier-to-entry costs associated with traditional hardware security training.

How Nutrition And Physical Activity Shape Your Well-Being, Stacy Phillips

EFNEP

This publication will explore the link among nutrition, physical activity, physical health, and mental health and how it impacts whole-body well-being. Understanding how multiple aspects of a person's lifestyle can affect an individual's overall well-being is essential to providing better education on how to make better choices to improve their well-being.

Address A Real Need In Special Needs, Andrew Jockers Dds, Ms, Veronica Ann Parnell Dmd, Matthew R. Cooke Dmd

Virginia Dental Journal

No abstract provided.

Board Of Dentistry Notes September 13, 2019, Ursula Klostermyer Dds, Phd

Virginia Dental Journal

No abstract provided.

Having Fun Yet? How Dentistry Keeps Up Happy, Healthy, Al J. Stenger Dds

Virginia Dental Journal

No abstract provided.

Va Dent J October, November And December 2019

Virginia Dental Journal

No abstract provided.

Board Of Dentistry Notes December 13, 2019, Ursula Klostermyer Dds, Phd

Virginia Dental Journal

No abstract provided.

Extreame Pullin' Member Spotlight Featuring Dr Dustin Reynolds

Virginia Dental Journal

No abstract provided.

Pirates, Richard F. Roadcap Dds

Virginia Dental Journal

No abstract provided.

Va Dent J January, February And March 2020

Virginia Dental Journal

No abstract provided.

Malignant Habits: An Addiction With Potentially Fatal Consequences, Marvin E. Pizer Dds, Ms, Ma, Ficd, Kenneth E. Danty

Virginia Dental Journal

No abstract provided.

A Survey On Knowledge-Enhanced Healthcare Question Answering Systems, Junnan Su, Pu Han, Jianxiang Wei

Journal of Scientific Information Research

[Purpose/significance] This paper aims to review the research progress and applications of knowledge enhancement techniques in healthcare question answering systems, in response to the limitations of traditional systems in knowledge representation and reasoning, as well as challenges faced by current large language model-based systems, such as insufficient domain knowledge, privacy concerns, and hallucination. The review provides a systematic reference for improving the precision and knowledge reliability of such systems. [Process/method] Focusing on knowledge enhancement strategies, this paper firstly outlines their fundamental concepts and overall framework. The strategies are then categorized into explicit and implicit types, with an analysis of their …