Digital Commons Network^™

Melting Ice, Moving Minds, Andres Cabrero

Montserrat Student Scholarship

Ice Watch is a large-scale public installation by Olafur Eliasson that brings melting glacial ice into busy city spaces to make the effects of climate change both visible and urgent.. Eliasson wants people to physically feel the reality of climate change, not just learn about it. He uses art to turn abstract data into a real, emotional experience. Climate change can feel distant, and even somewhat invisible. By putting giant blocks of ice in public, the project helps people face the problem in a physical, immediate way.

There's A Method To This Physics Madness, Hanna J. Ross

Physics and Astronomy Presentations

Physics tends to be seen by the general public as scary and unattainable, especially for students who are non-STEM majors. However, at Ursinus College (as well as many other institutions) the professors employ the use of specific problem-solving strategy instruction to mitigate these fears and further general problem solving skills. This study reviews previous experiments evaluating the merit of this strategy and analyzes its results as it relates to Physics on Screen, a physics class at Ursinus geared specifically towards non-majors.

Basketball Jump Shot Correction Using Computer Vision, Matthew Moran

Mathematics & Computer Science Student Scholarship

Matthew Moran ’25, Computer Science major

Faculty mentor: Dr. Martin Hellwig, Mathematics and Computer Science

Basketball has evolved significantly over the years, with players continuously striving to improve their shooting accuracy and efficiency. As the game becomes more data-driven, advancements in artificial intelligence and computer vision have provided new methods for analyzing and correcting shooting mechanics that allow players to improve their game. Using deep learning, this research aims to fill a gap in these advancements, which is looking at the position of the shooters fingers relative to the ball. Doing so can improve stability and overall shooting performance.

Designing A Statistical Plan For Measuring Self-Efficacy Using A 2k Factorial Design​, Rachel A. Hart, Eugene H. Thompson

Mathematics, Computer Science & Statistics Presentations

This study focuses on designing a statistical plan that measures the effects of self-efficacy using a 2k factorial design. Specifically, we simulated data on physical, mental, spiritual, and social health, so we could focus on their interaction with self-efficacy. By using ANOVA to see the main and interaction effects, we can see the impact of individual autonomy on health. Our findings show the need for experimental data on the demographic of interest, peri-and post-menopausal women.

Analyzing The Sentiment Of Feminist And Non-Feminist Works, Jasmine Borie, Megan G. Falschlehner

Mathematics, Computer Science & Statistics Presentations

This presentation focuses on a group of texts that advocate for a change in the current belief system. These texts are the Feminist Manifesto, Sojourner Truth: Ain’t I a Woman?, and Civilization and Its Discontents. These first two texts advocate for women’s rights, while Freud’s book is focused on civilization’s decline and how our understanding of community can affect this. Through our presentation, we want to examine the differences in sentiment and language between the feminist texts and Freud’s texts to pinpoint whether or not sentiment changes when advocating for different beliefs.

Analyzing Cie Texts Through History Using R, Rachel A. Hart, Aaron Ditto

Mathematics, Computer Science & Statistics Presentations

In this presentation, we analyzed three separate CIE texts from different time periods. First, “The Allegory of the Cave” from 380 BC, then “The Declaration of Independence” from 1776, and lastly “The Lottery” from 1948. We compared them using tidy text techniques like sentiment lexicons, creating word clouds, and bigram analysis to see if the types of words and sentiments used have changed over time in these short texts.

A Statistical Comparison Of Selected Old Testament And New Testament Books, Branden F. Stahl, Kevin Guan, Adam Denn

Mathematics, Computer Science & Statistics Presentations

The purpose of this project was to discover similarities between sentiments in Old Testament and New Testament books of the Bible, track emotional valence and find the most common words and sentiments in the books. Text analysis was performed on Genesis, Exodus, Matthew and Luke. Word clouds were also created for these texts.

Using Text Mining In R To Explore How Three Cie Related Texts Answer One Of Ursinus College’S Quest Curriculum Questions: “How Should We Live Together?”, Elizabeth Dill

Mathematics, Computer Science & Statistics Presentations

This presentation explores the application of text mining techniques using R programming to analyze literary text. In the process of this project, I performed data cleaning, tokenization, sentiment analysis, and frequency analysis on selected literary works. This study illustrates how R enables the transformation of unstructured textual data into meaningful insights through visualizations and statistical summaries. My presentation highlights both the technical process and the interpretive results, demonstrating how computational methods can be used to explore traditional literary analysis.

A Text Mining And Sentiment Analysis Of Valuable Cie Texts Using R, Eric Sugarman, Ethan Turber-Ortiz, Hannah Quinn

Mathematics, Computer Science & Statistics Presentations

The purpose of this project was to perform a sentiment analysis of three texts used in Ursinus College's Common Intellectual Experience (CIE) course: Between the World and Me by Ta-Nehisi Coates, The New Jim Crow by Michelle Alexander and Discourse on Method by Rene Descartes. Word count and word cloud analysis were also performed on the texts as well as term frequency and bigram analysis.

2025 April 23 - Undergraduate Curriculum Council Minutes, Undergraduate Curriculum Council, East Tennessee State University

Undergraduate Curriculum Council Minutes

No abstract provided.

The Significance Of Symmetry: Exploring T-Numbers And Their Role In Virus Survival And Behavior, Jenna Franco, Taylor Ligozio

Mathematics & Computer Science Student Scholarship

Jenna Franco ’25, Biology major

Taylor Ligozio ’25, Biology major

Faculty mentor: Dr. Su Jeong Kang, Mathematics and Computer Science

We studied the symmetry of different structures in common viruses and their T-numbers. We related these T-numbers with characteristics of the virus. Next we researched how the T-number of each virus was optimal for its survival and reproduction in its environment. We can use this information to infer or predict the behavior of viruses in the future based on their T-numbers.

Building Bridges To Math Success: Exploring Children’S Flexible Attention To Numerical And Spatial Magnitudes, Deja A. Richardson

Honors Theses

The study analyzes how children in early childhood engage with number books and how they influence mathematical abilities such as flexible attention to magnitudes (FAM) and executive functioning. It was hypothesized that the number of books consisting of mathematical language will lead to an increase in math ability. It was also suggested that number books will engage children using mathematical language and real-world settings. 80 participants between the ages of three and five years old recruited from daycare centers and preschools in the Dayton and Bloomington area will complete 6 one-on-one sessions with an experimenter in their school.

The pretest …

Determinants For Green Procurement Practices In Public Procurement Management In Tanzania, Yohana Arsen Rutaba

Business Review

This study was carried out conducted to ascertain the determinants for green procurement practices in public procurement management in Tanzania. The research study employed mixed-methods approach and used descriptive analysis. Multiple linear regression analysis was employed to establish the relationship between the variables. The study used a sample size of 200 participants obtained using Cochran formula of unknown population. The sample size composed of public procurement officers and practitioners from different government agencies and organization in Mainland Tanzania. From descriotive analysis it shows that the level of implementation of green procurement practices is still very low in public procurement. The …

2025 Otterbein University Honors Convocation Program, Otterbein University

Honors Convocation

No abstract provided.

Developing A Hypothetical Learning Trajectory For Loops In Integrated Math-Cs Lessons (Poster 27), Anahita Ashineh, Jody E. Clarke-Midura, Deborah Silvis, Jessica F. Shumway, Joseph S. Kozlowski, Camille M. Lund

Spatial Activities and Robot Coding (SPARC)

https://aera25-aera.ipostersessions.com/Default.aspx?s=37-77-1B-1F-D5-4D-5A-16-54-EC-62-88-D3-40-E9-03

"We Had An Amazing Idea, But Then Someone Already Had It": Norming "Novelty" In Early Childhood Computer Science (Poster 31), Deborah Silvis, Ana Ashineh, Jody Clarke-Midura, Jessica Shumway

Spatial Activities and Robot Coding (SPARC)

https://aera25-aera.ipostersessions.com/Default.aspx?s=BF-36-33-8A-0D-DF-81-2C-B8-C6-4F-C6-21-5F-A2-FC

The College Voice, Vol. 62, No. 9 [April 23, 2025], Connecticut College

2024-2025

No abstract provided.

Gnn Convergence And Accuracy Analysis On Contextual Stochastic Block Models, Trevor Garrity

Theses and Dissertations

Contextual Stochastic Block Models (cSBMs) are simple generative graph models commonly used to benchmark the performance of Graph Neural Networks (GNNs). In this thesis, I prove how inducing symmetries on general, nonlinear GNNs improves their cross entropy on cSBMs, and I derive the limiting accuracy of linear Graph Convolutional Networks (GCNs) on cSBMs. I use these results to derive the functional form of cross-entropy optimal GCNs on cSBMs and compare them to accuracy optimal GCNs.

Isolation Structure Simulation And Measurement To Reduce Transmit-Receive Coupling In Compact X-Band Fmcw Radar, Bruce E. Averill

Theses and Dissertations

Transmit-receive isolation in a compact X-band FMCW radar antenna system is critical for system performance. A set of candidate isolation structures are explored. In the process, performance of a commercial FDTD EM simulation software package is evaluated for antenna array modelling. Noise parameters of receiver electronics on a prototype radar processing front-end are tested. Improvements to the BYU Microwave Lab RF anechoic chamber are also reported, with a focus on measurement repeatability and antenna pattern angular resolution.

Exploring Representations And Inductive Bias For Machine Learning Tasks In Knot Theory, Nathaniel Driggs

Theses and Dissertations

Knot theory is a branch of mathematics that studies embeddings of the circle in $\mathbb{R}^3$ that are equivalent up to ambient isotopy. A link is a knot with one or more component. Knots and links have invariants, or functions from each knot to a set such as the integers or a family of polynomials. Predicting invariants can help us approximate them, understand them better, and find useful ways of representing knots and useful models for other machine learning tasks in knot theory. I perform many supervised learning experiments, predicting signature on a large, wide-ranging dataset using 5 different models and …

Power Series Rings Over Noncommutative Rings: Symmetry, Reversibility, And Semicommutativity, Nolan Ison

Theses and Dissertations

Let R be an associative, unital ring. One topic of interest is to assert R has some property, then determine what properties the polynomial ring R[x] and the power series ring R[[x]] are guaranteed to have. There are many relaxations of commutativity in rings. For example, a ring is said to be symmetric if abc = 0 implies acb = 0 for all a, b, c ∈ R. We discuss a certain construction of symmetric rings that we hope will yield the existence of a symmetric ring R such that the set of nilpotent elements in the power series ring …

Spring 2025 Student Showcase For Research & Creative Inquiry Program, Office Of Student Research, Longwood University

Spring Showcase for Research and Creative Inquiry

No abstract provided.

Exploring The Role Of Azoreductase Enzymes In Drug Metabolism: Implications For Personalized Medicine, Najoude Claude, Robert Ghergurovich

Chemistry & Biochemistry Student Scholarship

Najoude Claude ’26, Biology major

Robert Ghergurovich ’26, Biochemistry major

Faculty mentor: Dr. Tyler Stack, Chemistry and Biochemistry

The gut microbiome hosts trillions of microorganisms that metabolize xenobiotics such as drugs and food dyes. Individual differences lead to variable drug metabolism. We studied two azoreductases: E. coli’s P41407 and Alistipes sp. CHKCL003’s A0A143XFE8. Enzyme P41407 acted on methyl red and ethyl red, while A0A143XFE8 acted on these and also on phenol blue, HMND, and sunset yellow. We propose these enzymes function as quinone reductases, requiring a quinone-like intermediate. Three synthesized compounds confirmed similar kinetics. In conclusion, these insights significantly advance …

Beyond The Horizon: A Comprehensive Study On The Evolution And Application Of Machine Learning Techniques In Diverse Fields, Rabia Aslam Khan, Hafiz Burhan Ul Haq

Sustainable Machine Intelligence Journal

In the past few decades, Machine Learning (ML) has become the most popular area for research. Many business entities have realized that the machine would help in increasing calculation potential. This main contribution is that it provides a systematic literature review, which gives details of machine learning approaches in various fields. Moreover, it provides a taxonomy of machine learning approaches. In this paper, a review of machine learning techniques and approaches has been discussed that are used in various fields such as, Bioinformatics, Intrusion Detection, using the approach “Systematic Literature Review”. In primary search, 7856 papers were retrieved and appraised …

Using Generative Artificial Intelligence To Improve Software-Defined Network Security: A Brief Survey, Anthony Smith

Honors Theses

This paper aims to explore various approaches to using generative artificial intelligence (GenAI) to improve network security in software-defined networking. While software-defined networks provide a more programmable infrastructure, they are not immune to network security threats. Through a combination of Software-Defined Networking (SDN) technologies and generative AI, it is possible to facilitate improved SDN security approaches that promise enhanced network efficiency and protection. Among these approaches, generative adversarial networks (GAN) based models can be employed to generate adversarial traffic samples to train the proposed AI engines proven to be effective in detecting malicious network traffic. Additionally, generative artificial intelligence can …

Heat Transfer Enhancement By Using Different Patterns Of The Receiver Circumference Of The Locally Fabricated, Khalid Abdullah Muhammad, Yaseen H. Mahmood, Othman K. Zidane

Baghdad Science Journal

The current study presents an experimental attempt to enhance the thermal performance of a parabolic solar collector, which is a tube made of copper, by using four different types of receiver coatings. The experiments were conducted with a mass flow rate of 1 L/min, utilizing deionized water as the heat transfer fluid, and a single-axis tracking system (north-south orientation). The experimental tests were carried out in Mosul, Iraq, during selected days of the months (May, June, July) in the year 2023, from 9 AM to 4 PM. The results indicated that when air was used as a type of receiver …

Finite Dimensional Convex Fuzzy Normed Space And Its Basic Properties, Hawraa Yousif Daher, Jehad R. Kider

Baghdad Science Journal

Here the notion of convex fuzzy absolute value space is represented with an example which shows that the existence of such space. The reason behind introducing the definition of convex fuzzy absolute value and does not using the ordinary absolute value is the main definition in this paper will be not correct with ordinary absolute value. After that the main definition of convex fuzzy normed space is recalled with example which shows that the existence of such space. Then other definitions and theorems is recalled that will be used later in the section of main results such as the convex …

Discovery, Purification And Annotation Of Four Novel Mycobacteriophages In New England, Mason Krawczynski

Chemistry & Biochemistry Student Scholarship

Mason Krawczynski ’26, Biology and Psychology major

Faculty mentor: Dr. Kathleen Cornely, Chemistry and Biochemistry

Mycobacteriophages are viruses that infect bacteria of the Mycobacterium genus. Several thousand mycobacteriophages have been discovered, isolated, and characterized to advance the current understanding of their genomic diversity. The mycobacterium phage selection proves valuable, as they have a broad host range and potential for therapeutic application to treat pathogenic and antibiotic-resistant mycobacteria, such as Mycobacterium tuberculosis, the causative agent of tuberculosis infection. Kraw was isolated from a soil sample collected in Oaks Bluff, Massachusetts, on the island of Martha’s Vineyard in July 2023. FairyPath, Calvinny, …

Tools For Harnessing Atropisomerism In 1-Aryl-Β-Carbolines, Cristina Díaz, Malaquias Loiza, Josef Crenshaw, Brian Ladino, Elizabeth Perda, Alma Martinez, Joseph Mazzucca, John Stathoulopoulos

Chemistry & Biochemistry Student Scholarship

Cristina Díaz ’25, Chemistry major

Malaquias Loiza ’26, Biochemistry major

Josef Crenshaw ’28, Biochemistry major

Brian Ladino ’28, Biochemistry major

Elizabeth Perda ’26, Biochemistry major

Alma Martinez ’26, Biochemistry major

Joseph Mazzucca ’25, Biochemistry major

John Stathoulopoulos ’26, Chemistry major

Faculty mentor: Dr. Seann Mulcahy, Chemistry and Biochemistry

Axially chiral molecules with high barriers to rotation are becoming increasingly more prominent in drug discovery, chemical biology, and materials science. We have shown that 1-aryl-β-carbolines exhibit high configurationally stability, with barriers to rotation greater than 30 kcal/mol and have recently disclosed an asymmetric synthesis of these molecules. In this presentation, we …

Discovery, Purification And Annotation Of A Novel Mycobacteriophage Discovered On The Providence College Campus, Jenna Greene

Chemistry & Biochemistry Student Scholarship

Jenna Greene ’26, Biochemistry major

Faculty mentor: Dr. Kathleen Cornely, Chemistry and Biochemistry

Bacteriophages—viruses that infect bacteria—offer a promising alternative to antibiotics in the face of rising antibiotic resistance. In this project, I isolated a novel phage from a soil sample collected in front of Raymond Dining Hall at Providence College. Using Mycobacterium smegmatis as the host, the sample underwent multiple rounds of purification until a single phage, named GMonster (a nod to my family nickname, “Greene Monster”), was isolated. GMonster was submitted to the PhagesDB database and confirmed through sequencing to belong to the A1 cluster—the first of its …