Physical Sciences and Mathematics Commons^™

A Hybrid Deep Learning-Based Approach For Visual Field Test Forecasting, Ashkan Abbasi, Sowjanya Gowrisankaran, Wei-Chun Lin, Xubo Song, Bhavna Josephine Antony, Gadi Wollstein, Joel Schuman, Hiroshi Ishikawa

Wills Eye Hospital Papers

OBJECTIVE: Longitudinal assessment of visual field (VF) testing is essential in glaucoma management. Conventional VF forecasting methods require numerous prior tests, while deep learning techniques have shown promising results with fewer tests. This study introduces a hybrid deep learning framework to enhance flexibility and accuracy in VF test forecasting.

DESIGN: A retrospective longitudinal study using deep learning-based VF forecasting models.

SUBJECTS AND CONTROLS: A total of 1750 subjects (healthy and glaucoma patients) with 19 437 Humphrey VF (24-2 Swedish Interactive Threshold Algorithm) tests collected from longitudinal glaucoma cohorts at the University of Pittsburgh and New York University.

METHODS: Three deep …

The Conditioning Of Reservoir Computing And Ng-Rc For Forecasting And The Effects Of Temporal Overparameterization, Daniel Jensen

Theses and Dissertations

Reservoir computing and "Next-generation reservoir computing" built on nonlinear vector autoregression are algorithms for predicting time series given past observations. Both algorithms have been successful in predicting some chaotic dynamical systems, but this success is not theoretically well understood. This paper considers the conditioning of both algorithms and the nature of the solutions found. With either algorithm, the least squares problem which is solved to give parameters as a function of the time series data is ill-conditioned, leading to parameter non-identifiability. Both algorithms fall into the class of "sloppy models." Standard practice to regularize either algorithm includes a bias towards …

Sexually Transmitted Infection (Sti) Incidence And Risk Factors Among People With Hiv (Pwh): Insights From A 13-Year Cohort Study In South Carolina, Salome-Joelle Gass, Shujie Chen, Jiajia Zhang Ph.D., Bankole Olatosi

Faculty Publications

The Ending the HIV Epidemic (EHE) initiative aims to reduce new HIV infections by 90% by 2030 in the United States (US). However, rising sexually transmitted infection (STI) rates exacerbate the bidirectional infection risk between HIV and STIs. Most research on STIs among people with HIV (PWH) has focused on high-risk groups, resulting in limited data on broader populations. This study addresses that gap by examining the incidence and risk factors for gonorrhea, chlamydia, and syphilis in a statewide cohort of PWH in South Carolina. Data from South Carolina’s HIV and STI surveillance systems were linked, and all PWH aged …

2025 April 24 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

2025 Acssc Program, Acssc Planning Committee

Annual Celebration for Student Scholarship and Creativity

No abstract provided.

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.

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.

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 …

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 …

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 …

Exploring An Electron-Rich Iron Tricarbonyl Complex Containing An Α-Diimine Ligand, Joseph Maher

Chemistry & Biochemistry Student Scholarship

Joseph Maher ’25, Chemistry major

Faculty mentor: Dr. Maria Carroll, Chemistry and Biochemistry

The combustion of fossil fuels increases atmospheric CO2, making hydrogen a promising cleaner energy alternative. Pt has been able to facilitate this reaction efficiently, however, it is expensive and scarce. Fe has shown promise in facilitating 2-electron transfers when bound to redox-active ligands. Reacting the redox-active CyDABMe with benzylidene acetone iron tricarbonyl (bdaFe(CO)3) forms Fe[CyDABMe](CO)3, with vCO values ~10 cm-1 lower than FeArDABMe(CO)3, indicating increased electron density. The reduction potential of CyDABMe was probed using Zn[CyDABMe]Cl2, showing a reduction at 200 mV more negative than Zn[ArDABMe]Cl2. X-ray …

Gerrymandering And How To Find It: A Mathematical Approach, Nicholas Small

Mathematics & Computer Science Student Scholarship

Nicholas Small ’25, Mathematics and Computer Science major

Faculty mentor: Dr. Liam Donohoe, Mathematics and Computer Science

Gerrymandering is a phenomenon that has plagued American politics for over 200 years. This process, which involves redrawing congressional and legislative district boundaries to favor one group over another, has become a fact of life in the past few decades. This project explores the history of gerrymandering and some of the algorithms proposed to combat it. The two main strategies of Gerrymandering are packing—or limiting the other group’s influence by making them the extreme majority in a few districts—and cracking—or splitting up a …

Sample Preparation And Acquisition Strategies To Improve Accessibility And Proteome Depth In Single-Cell And Low-Input Proteomics, Sara Madisyn Johnston

Theses and Dissertations

Proteins are responsible for important cellular functions and processes including regulation, structural integrity, signaling, transport, and immune functions. Proteomics directly identifies these proteins and enables deeper characterization of the dynamic cellular environment beyond the capabilities of genomics and transcriptomics. Single-cell proteomics further enhances this approach by capturing cellular heterogeneity, which bulk proteomics obscures due to averaging protein expression across large cell populations. Despite significant advances in single-cell proteomics, continued innovation is necessary to increase workflow accessibility and throughput, minimize peptide losses, and achieve comprehensive coverage of the proteome. This dissertation addresses these challenges by developing improved sample preparation methods, two-dimensional …

Diversity And Habitat Use Of Bats In Modified Suburban Landscapes, Brittany Morgera

Biology Presentations

Bats occupy critical ecological niches and perform important ecosystem services like controlling insect populations. However, humans have altered bat habitat substantially, resulting in the reduction of bat populations. The goals of this research are to assess bat diversity and habitat use across different levels of suburban habitat modification. To accomplish this, we deployed passive acoustic recorders at twelve locations with varying human impact in Montgomery County, Pennsylvania. In accordance with The North American Bat Monitoring Program’s standards, acoustic analysis software was used to identify bat species. Manual identification methods from The Canadian Wildlife Health Cooperative were used to verify these …

Existence Of Maximal And Minimal Weak Solutions And Dinite Difference Approximations For Elliptic Systems With Nonlinear Boundary Conditions, S. Bandyopadhyay, T. Lewis, Nsoki Mavinga

Mathematics & Statistics Faculty Works

We establish the existence of maximal and minimal weak solutions between ordered pairs of weak sub- and super-solutions for a coupled system of elliptic equations with quasimonotone nonlinearities on the boundary. We also formulate a finite difference method to approximate the solutions and establish the existence of maximal and minimal approximations between ordered pairs of discrete sub- and super-solutions. Monotone iterations are formulated for constructing the maximal and minimal solutions when the nonlinearity is monotone. Numerical simulations are used to explore existence, nonexistence, uniqueness and non-uniqueness properties of positive solutions. When the nonlinearities do not satisfy the monotonicity condition, we …

Non-Destructive Testing Of Stressed Materials Using X-Ray Diffraction And Second-Harmonic Generation, Melissa Nguyen Lumogdang

Theses and Dissertations

A material in use, anywhere from a plastic bag to common infrastructure, will eventually fail from deformation. When strained, the material chemical structure can change, and that change is dependent on many factors, including the amount of strain and strain rate. Understanding the relationship between physical properties and structural changes due to deformation can allow structural manipulation to achieve the desired physical properties. Additionally, research into non-destructive testing (NDT) methods can be used as supporting evidence for replacing destructive testing methods and possible infield stress monitoring. In this dissertation, X-ray diffraction (XRD) and second-harmonic generation (SHG) are the main NDT …

Homomorphisms Of Peano Continua To Berbered Peano Continua, Logan Kennedy

Theses and Dissertations

The study of wild spaces, Peano continua that contain points that are not semi-locally simply connected, has been of integral importance in the study of low-dimensional wild topology. Mainly investigated from the view point of algebraic topology, the fundamental group has been found to be an indespensible tool in describing these spaces, and their local behavior. In particular, using methods developed by Cannon, Conner, Eda, and Kent demonstrated that all maps from Peano continua to planar or one-dimensional Peano continua are determined uniquely up to homotopy class by their induced homomorphisms on fundamental groups, and that fundamental groups are a …

Analyzing Northwest Ohio Industries And Utilizing The Shape Program To Increase Sustainable Practices, Abigail Stucker

Honors Projects

The purpose of this project is to dive deeper into the corporate perspective on sustainability and why manufacturing companies should take action on such an important topic. Is there a true balance for businesses between increasing profits and reducing waste? Why should businesses care about being branded as a sustainable company? What efforts do companies need to take to truly be branded as “sustainable?” These are questions that drove the research and development of this project. After looking into these guiding questions, this project develops a program to help monitor and measure the successful sustainability practices that various Northwest Ohio …

Innovations In Sample Handling Automation To Increase Accessibility Of Sample-Limited Proteomics, Nathaniel Ben Axtell

Theses and Dissertations

Innovation is the vehicle that drives scientific research forward in virtually every field. Advances in genome sequencing propelled the human genome project to completion in 2003 and set the stage for the era of proteomics. Now decades of innovation in liquid chromatography (LC) and mass spectrometry (MS) have improved sensitivity sufficiently to enable single-cell proteomics and other sample-limited studies. Single-cell proteomics reveal patterns of gene expression that are often obscured by bulk-scale proteomics, leading to the identification of new protein biomarker candidates. Sensitive targeted proteomics is the key to successful translation of low-abundance protein assays into clinical applications. With a …

Environmental Risk And Alpha-Gal Syndrome (Ags) In The Mid-Atlantic United States, Brandon D. Hollingsworth Ph.D., Margaret Wiener, Dana A. Giandimenico, Scott P. Commins, Ross M. Boyce

Faculty Publications

Alpha-gal syndrome (AGS), commonly referred to as the tick bite red meat allergy, has been reported worldwide with the number of suspected cases in the United States increasing from 24 in 2009 to over 34,000 in 2019. Within the US, AGS is associated with the bite of two tick species, Amblyomma americanum and Ixodes scapularis, and has particularly high incidence rates in the mid-Atlantic region. Because AGS is associated with tick bites, the risk of developing AGS is affected by the environment individuals visit. Despite this, as well as the numerous studies associating the environment with Am. americanum, …