Physical Sciences and Mathematics Commons^™

Epr Workshop: Lab Practicals Summary, Gareth R. Eaton

TeachEPR Submissions

• Basics – nitroxide and trityl
• Nitroxides
• Metals - vanadyl
• Pulse
• Rapid scan

Workshop On Rapid Scan Epr, Gareth R. Eaton, Arthur H. Heiss, Deborah Gale Mitchell, Joshua R. Biller, Richard W. Quine, George A. Rinard, Mark Tseitlin, Sandra S. Eaton

TeachEPR Submissions

An introduction to the method of rapid scan EPR is given with emphasis on the design of rapid scan coils, selection of scan parameters, and the reasons that the method improves signal to noise per unit time.

Workshop On Selecting An Epr Resonator, Gareth R. Eaton

TeachEPR Submissions

Guidance is presented to help select a resonator to optimize a measurement. Different resonator types are described with information about resonator Q and microwave power efficiency.

Workshop presented at the 28th International EPR Symposium on July 31, 2005.

Module 2 Power Point Activity 2a.3, Karon Klipple, Cheryl Hedden

Module 2 Workbook

No abstract provided.

Aftdc 2025_01 Kickoff: Welcome And Opening Remarks On Trans-Disciplinary Communication In Games And Education, Cristo Leon

Trans-Disciplinary Communication

This session sets the stage for the 2nd Annual Meeting of the Association for Trans-Disciplinary Communication (AFTDC). Join us as we introduce this year’s theme, "Trans-Disciplinary Communication for Games and Education," and highlight the importance of fostering innovative, collaborative approaches across disciplines. Opening remarks will outline the goals for the event, key initiatives, and opportunities for engagement, laying the foundation for meaningful discussions and shared learning throughout the day.

Kroger Post-Pandemic Customer Segmentation, Mario Mata, Joey Truitt, Renn Spigelmyer, Dhanuja Kasturiratna, Lisa Holden, Nitish Baidya, Hanna Tafari

Posters-at-the-Capitol

The grocery retail industry landscape has changed greatly in the wake of the pandemic. Specifically, delivery and pickup services have become more popular and customer buying habits have evolved. At the same time, improvements in data collection and analysis have allowed grocery marketing strategies to become highly individualized.

We worked with 84.51, an analytics firm, to identify customer segments for the Kroger Company based on data from 2023. Using clustering techniques, we organized customers into groups, or segments, based on similar characteristics. We identified and profiled four distinct groups of customers. Three segments were characterized by high frequency and spending …

Dogs Emotion System- Poster, Muhammad Anas Baig

ICT

This project is all about a deep learning-based “Dog Emotion System” that can figure out how dogs are feeling just by looking at their faces. We used a balanced set of 4,000 dog images with four different emotion categories and followed the CRISP-DM process to build it. The model was trained from scratch using a Convolutional Neural Network (CNN) without any pre-existing models. It is deployed using Steamlit, where people can upload pictures of their dogs and get their emotional state predicted in real time. The goal of this tech is to make it easier for pet owners to understand …

Strategic Analysis Of Employment Permit Statistics And Predictive Analytics For Workforce Planning In Ireland- Poster, Amy Souza, Thaynna Vieira

ICT

This project analyses employment permit trends in Ireland from 2020 to 2025. It aims to help recruitment agencies and job seekers with data driven insights to enhance hiring placement. Forecasting permit demand by sector to help improve workforce planning and policy decisions.

Improving Chatbot Interactions Through Ai-Driven Hate Speech Detection: Evolving To A Safer Digital Environment-Poster, Rata Gheorghita, Wellington Mariano

ICT

This project aims to explore how Machine Learning can contribute to a better digital interaction, mainly focusing on environments such as online chats, social media, and customer support as they are now an imperative part of daily communication. With this, concerns around hate speech in digital conversations is critical (Council of Europe, 2024). This study focus on the development of a Hate Speech Language Detection Chatbot using machine learning techniques. The key purpose of the chatbot is to monitor and detect harmful content in real time, reducing the need for manual intervention. The creation and implementation of such a tool …

Brain Tumor Classification Using Deep Learning- Poster, Rayen Bentemessek

ICT

The project presents deep learning solutions to classify brain tumors through MRI images. Two Convolutional Neural Network (CNN) models were developed, a custom CNN designed from scratch and a pretrained ResNet50 that was transfer learned and fine-tuned.

Both models were implemented following CRISP-DM methodology from data understanding to deployment, and they were evaluated using different metrics such as accuracy, precision, recall and F1-score.

Key Highlights: •The custom CNN model achieved higher accuracy but failed to locate tumors. •ResNet50 provided a good performance while balancing explainability through Grad-CAM. •Model was deployed through Gradio to demonstrate a real-world use of the solution.

Lowering The Barrier For Reading Primary Literature In Stem, Sebastian G. Alvarado, Maral Tajerian

Open Educational Resources

Building Bridges of Knowledge (BBK) is a cross‑CUNY initiative that integrates artificial intelligence (AI) and open educational resources to lower the barrier to primary literature and enhance research‑focused pedagogy. Recognizing that scientific papers are often dense and inaccessible to newcomers, we developed a suite of AI‑assisted instructional materials and activities to help students interpret complex data and methodology. A central component is the use of large language models (LLMs) and tools such as Scite.ai to provide citation‑context analytics and personalized research support. These tools allow students to filter literature by supportive, neutral, or contrasting citation statements and to troubleshoot laboratory …

Urban Sustainable Neighborhoods: Revitalization Of Sheppard Square Hope Vi In Louisville, Ky, Ramona Stone

Sustainability Research & Practice Seminar Presentations

Professor Ramona Stone, PhD, MPH, from West Chester University presents "Public Health Sciences Urban Sustainable Neighborhoods: HOPE VI Revitalization of Sheppard Square in Louisville, KY".

Characterizing Unconserved Shallow Wetlands In Lamoure County, North Dakota, Nathan Watson

Scholars Week

Prior to modern agriculture, the plains of North and South Dakota were once a mixed grass prairie with millions of small ponds and wetlands. These wetlands provide summer breeding habitat for countless numbers of migrating bird species. Through the work of conservation organizations and Federal agencies, many of these wetlands have been restored across the Dakotas, Prairie Minnesota, and Iowa. This project focused on locating a county in an area of critical breeding habitat that has had, thus far, limited restoration of these small wetlands and determing their extent and quality using a Geographic Information System (GIS).

The study area …

Enhancing Chemotherapy: Synergistic Action Of Cisplatin And Berberine Hydrochloride Against Osteosarcoma, Adam S. Al-Droubi, Andrea Florian

Science University Research Symposium (SURS)

Osteosarcoma, the most common type of bone cancer, is notably aggressive and prone to a rapid rate of metastasis. When the tumor is localized; the survival rate is approximately 76% and can often be treated with surgery. However, once metastasis occurs, the survival rate drops to 24% and must be treated with chemotherapy. The standard treatment for metastatic osteosarcoma typically involves combination therapeutics, with cisplatin being a key component despite its severe side effects. Unfortunately, osteosarcoma exhibits a natural resistance to chemotherapy driven by the overexpression of drug efflux pumps, DNA repair mechanisms, and apoptosis avoidance mutations. To address these …

Simplify Workflows: Ai As A Coding Companion, Tiffany Garrett

Library Scholarship

Artificial Intelligence is on everyone’s minds and has been the topic of the past two Matheson Lectures. But, what is the role of academic health sciences libraries? Moving the theoretical into practical, seven of our colleagues will present real-life case studies. What worked - what didn’t - what would they do differently?

This entry is from one of those case presentations on how a librarian at Roseman University of Health Sciences used AI to complete simple computer programming projects that optimized a few library workflows.

The Pennsylvania Wilds And The Rhetorical Construction Of Wilderness, Casey R. Schmitt

Sustainability Research & Practice Seminar Presentations

Professor Casey R. Schmitt, Interdisciplinary Studies, presents "The Pennsylvania Wilds and the Rhetorical Construction of Wilderness".

Sustainable Aquaculture And Youth Membership, Stephen Hughes

Sustainability Research & Practice Seminar Presentations

Dr. Steven Hughes of Cheyney University discusses Sustainable Aquaculture and Youth Mentorship

Voter Registration, Education, And The Connection To Sustainability, Office Of Sustainability, Shay Gillespie, Abigail Thomas

Sustainability Research & Practice Seminar Presentations

Shay Gillespie, Associate Director, Center for Civic Engagement and Social Impact, and Abigail Thomas, Sustainability Peer Educator, discuss voter registration, education, and its connections to sustainability. Included are also two PowerPoint presentations with supplementary data.

Electrochemistry At Work: Bouncing Batteries, Bryant Corbin, James Daniel, Jade Riddle

Fall Showcase for Research and Creative Inquiry

No abstract provided.

A Community-Level Investigation Of Heavy Metal Pollution In Street Sediments From Terre Haute, Indiana, Kyra Copp '25, Kenneth Brown, Nora Bedwell '26, Camden Brown '25

Annual Student Research Poster Session

Urban environments contain environmental legacy issues that can have long-term negative public health consequences. Investigating these legacy issues can help constrain potential sources and their impact on communities. This study focuses on street sediment found in Terre Haute, Indiana, a city with an extensive history of coal-fired power production, high-traffic volumes, steel manufacturing, and Pb-based paint usage. This research specifically focuses on Terre Haute’s Sheridan Park community. Six bulk street sediment samples were analyzed by pXRF at DePauw University. This analysis revealed elevated concentrations of Pb (22-152 ppm), As (8-15 ppm), Cu (35-237 ppm), and Zn (149-634 ppm) in all …

A Brighter Tomorrow With Darker Skies: Understanding The Consequences Of Excessive Light And Combating Light Pollution At West Chester University, Finn Schmidhuber

Sustainability Research & Practice Seminar Presentations

Finn Schmidhuber, Computer Science '25, presents on the importance of Dark Skies and limiting light pollution.

Ai In The Health Professions, Heidi Monroe, Carrie Fry, Phillip Baker, Erika Busz

AI and the Future of Work

The aim of this track is to provide health professionals, and those interested in mental health and healthcare careers with an understanding of key aspects of AI use in healthcare. Participants will explore advantages of some recent AI developments and evaluate how they may be effectively leveraged to improve patient care, while addressing potential challenges, limitations, and ethical considerations.

Effortless Mindfulness Toolkit: Easy Meditation Scripts To Begin Each Class., Brett Whysel

Open Educational Resources

The Effortless Mindfulness in the Classroom Toolkit is an open educational resource designed to create happier classrooms, boost student engagement, and foster a sense of community through brief, effective mindfulness exercises. This comprehensive toolkit provides educators with everything they need to seamlessly integrate mindfulness practices into their teaching routines, regardless of prior experience. The toolkit includes introductory slides, 15 ready-to-use meditation scripts, and accompanying audio recordings, covering a variety of mindfulness techniques such as focused breathing, body scans, and loving-kindness meditations. Each meditation is paired with a reflective prompt to deepen student engagement and reinforce the benefits of mindfulness. Additionally, …

Using Cache Files To Improve The Efficiency Of The Ucgretina Simulation Code, Blake Mcnulty

Physics and Astronomy Summer Fellows

UCGretina is a program that is used to simulate the Gretina gamma-ray tracking array used in experiments at the Facility for Rare Isotope Beams (FRIB) to collect gamma rays produced in reactions such as proton scattering. This is done by generating a simulation of the beam particles used and sending them into a simulated recreation that mimics the experimental environment. My job this summer was to tackle a major issue that the program had which is the speed or efficiency at which it ran. The main issue was that it would take days for certain simulation sets to run which …

Gender-Specific Mental Health Outcomes In Central America: A Natural Experiment, Thea Nagasuru

Computer Science Summer Fellows

While COVID lockdown measures have had varying effects on the mental health of different demographics, several bodies of research have noted their disparate effect on women. Why is women's mental health more negatively impacted by lockdown measures, and how much more are they impacted than men? How can we predict and mitigate these negative effects on women? This paper aims to contribute to answering those questions by comparing COVID stringency measures and their effect on the gap in depression rates between men and women in two neighboring countries: Nicaragua and Honduras.

Generating Channel Morphology Data Through Arcgis Pro, Ethan Manigbas

Symposium of Student Scholars

River cross-sections are often extracted using field surveys at measured intervals. This field-oriented approach allows for a tangible relationship between the data and its collector but at the expense of finance, time, labor, and potentially the environment. With the advancement of geospatial tools, such data can be found online, extracted, and even analyzed with contemporary Geographic Information Systems (GIS) in a completely virtual setting, transcending the need for fieldwork in select project topics. We tested this approach with the help of ArcGIS Pro software on the Vishnu Springs headwater stream located in the Western Illinois region of the Upper Mississippi …

The Classification Of Internet Memes Through Supervised And Unsupervised Machine Learning Algorithms, William H. Little

Symposium of Student Scholars

Memes, those captivating internet phenomena, effortlessly deliver online entertainment. By leveraging time-series data from Google Trends, we can vividly illustrate and dissect the dynamic trends in meme popularity. Previous studies have discerned four distinct post-peak popularity patterns— "smoothly decaying," "spikey decaying," "leveling off," and "long-term growth"—and elegantly modeled these using ordinary differential equations.

This research introduces a programmatic approach that harnesses both supervised and unsupervised machine learning algorithms. The dataset, now expanded to over 2000 elements, becomes the canvas for exploration. The K-means algorithm identifies clusters, which then serve as labels for the supervised SVC algorithm. The overarching goal is …

Exploring Neural Networks For Breast Cancer Tissue Classification, Stephen Jacobs, Md Abdullah Al Hafiz Khan

Symposium of Student Scholars

Last year, more than 240 thousand women in the United States were diagnosed with breast cancer. These patients are benefitting from decades of data that have been collected by cancer research institutions around the world. Tissue samples are analyzed and cataloged by these institutions, and several facilities like the University of Wisconsin are sharing this historical data to promote the advancement of new cancer treatments. Deep learning and neural network models are being built for this data to help doctors diagnose faster and design treatment options for patients by comparing their tissue samples with these historical datasets. We will use …

Examining Galaxy Bulge Regions With The Sloan Digital Sky Survey, Sarah E. Draves, Ariyeh Maller

Publications and Research

Nearly all of the ordinary matter in the universe is located in galaxies, which are made up stars, gas, dust, and black holes, and range in size from a few thousand to a few hundred thousand light years across. Galaxies come in different shapes, but many of them are spiral shaped, and some of those have a central bulge region that is distinct from the rest of the galactic disk. This project used a large data set of galaxies that had their bulge and disk components separated to see what correlations those fractions of each galaxy have with other galaxy …

Development Of A Fast-Neutron Source Localization System, Abdulsalam F. Al Mutairi

Student Research Symposium

Power generation by nuclear fusion is a continuing ambition that has been the focus of nuclear fusion research for nearly a hundred years. However, small-scale fusion reactors have further propulsion and neutron imaging applications that don’t require greater than breakeven efficiencies that a fusion energy source needs. Inertial Electrostatic Confinement (IEC) fusion devices have the potential for miniaturization, making them a strong candidate for such applications. Yet the contributions of different interactions within an IEC fusion device are still not fully understood. Imaging an IEC device and investigating each interaction's Neutron Production Rate (NPR) can enhance design efficiency. Neutron imaging …