Physical Sciences and Mathematics Commons^™

Bottom-Up Mechanochemical Synthesis Of Nanographene, Sarah Kerr

Honors Theses

This research explores the application of mechanochemistry in the bottom-up synthesis of nanographene, specifically focusing on the mechanochemical Diels-Alder (DA) reaction. The study investigates the effect of different reaction conditions and dienophiles on the mechanochemical DA reaction, aiming to optimize reaction efficiency and yield using a ball mill. The initial trials with a sterically hindered dienophile (2) and an electron-deficient diene experienced repeated failure, while reactions using dienophile (B), a terminal alkyne showed more promising results. Various variables were examined, including reaction time, jar size, ball size, ball number, shaking frequency, liquid-assisted grinding (LAG), heating, and diene to dienophile ratio, …

Bayesian Statistics: Origins And Applications, Evelyn Pulla

Publications and Research

Bayesian Statistics applies Bayes' Theorem to update beliefs through new evidence. In this project, I explored how Bayesian Statistics applies into real supporting decision-making under uncertainty. By solving problems using data, I was able to realize how prior knowledge and evidence collaborate to make better conclusions. The project also demonstrates how Bayesian reasoning corrects our intuition to make decisions based on logical reasoning. Through this project, I was able to learn why using probability to make informed decisions matters both in science and real life.

Automation Of Javanese Shadow Puppets Using Machine Control, Kristian Rice, Yinson Tso, Mukhammadali Yuldoshev

Publications and Research

The virtualization of Javanese shadow puppetry (Wayang Kulit) offers a unique opportunity to preserve and revitalize traditional performance art through immersive digital platforms. This project explores the development of a virtual Wayang Kulit experience using real-time 3D engines like Unity/Unreal Engine while focusing on simulating the mechanics and aesthetics of shadow puppet performance. The puppets are designed using detailed 2D planes and rigged with skeletal systems to reflect the stylized motion of traditional puppetry. An aspect of this project is integrating an AI-driven control system that autonomously animates the puppets, learning from recorded puppeteer performances to replicate gesture, rhythm, and …

2025 May 8 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Simplicity From Complexity: Sensing High-Dimensional Fluctuations Via Regulatory Network, Optimality In Allocating Cellular Resources, And Recovering Functional Groups Via Data-Driven Methods, Fang Yu

Arts & Sciences Graduate Student Theses and Dissertations

Biological systems must navigate dynamic and complex environments while operating under constraints such as limited molecular resources, biochemical noise, and structural trade-offs. This dissertation investigates three distinct cases in which biological systems allocate resources and process information efficiently, revealing emergent simplicity from underlying complexity. The first study develops a generalized end-product inhibition model with cross-talk and an excess of regulators, providing a proof-of-principle that simple biochemical circuits could, in principle, dynamically adjust their responsiveness to high-dimensional environmental variation. This result highlights how such circuits may allow adaptive filtering of both dominant and subdominant fluctuation modes. The second study, conducted in …

X-Ray Polarization Of Accreting Stellar-Mass Black Holes Through Accretion States, Nicole Rodriguez Cavero

Arts & Sciences Graduate Student Theses and Dissertations

In recent years, X-ray polarization has opened up a new window into our understanding of astrophysical sources. Among them are accreting stellar-mass black holes, which play a key role in testing the behavior of matter in extreme gravitational environments. These sources can be observed in different states of the accretion cycle, predominantly in the soft and hard states. Every state is dominated by a combination of thermal disk, coronal, or reflected emission—each type containing different information about the environment around the black hole that can be understood through polarization. Polarimeters such as the Imaging X-ray Polarimetry Explorer and XL-Calibur allow …

Reverse Engineering Of Binary Programs Using Graph Attention Networks, Sai Nikhila Kanigiri

Master's Theses

Understanding the functionality and behavior of binary code is essential for many software engineering tasks, including malware analysis, vulnerability detection, and program optimization. However, automating this process is challenging due to the complexity of machine code and the significant manual effort required from experienced software engineers. In this paper, we present BinGAT (Reverse Engineering of Binary Programs using Graph Attention Networks), a method for classifying binary programs into algorithmic categories using Graph Attention Neural Networks (GNNs) based on their Control-Flow Graphs (CFGs). Given a binary program, BinGAT extracts its CFG through static analysis and transforms the assembly instructions within each …

Performance Of Lasso And Ridge Regression For Variable Selection In Genome-Wide Association Studies Of Maize Flowering Time, Dipok Deb

Data Science and Data Mining

Genome-Wide Association Studies (GWAS) are instrumental in identifying genetic variants linked to complex traits, providing valuable insights into trait heritability and biological mechanisms. This study applies GWAS to investigate flowering time in maize, a critical adaptive trait, using a diverse dataset of 5,000 recombinant inbred lines across eight environments. Traditional GWAS methods often encounter challenges in high-dimensional datasets due to the presence of multiple small-effect genetic loci. To address this, we compared two penalized regression methods—LASSO and Ridge regression—to perform variable selection and regression analysis within a GWAS framework. LASSO effectively reduced the number of predictors by selecting the most …

Data Science Job Salary Prediction Using Linear Regression, Dipok Deb

Data Science and Data Mining

In the evolving landscape of data science, accurate salary prediction plays a crucial role in shaping career expectations, informing educational strategies, and guiding organizational hiring decisions. This study investigates the key factors influencing entry-level data science salaries in the United States by applying a multiple linear regression model to a recent dataset spanning from 2020 to 2024. Through data preprocessing, transformation, and diagnostic evaluation, we identify how job roles, experience levels, employment types, work arrangements, residency status, and company size impact compensation. Despite challenges such as outliers, heteroscedasticity, and non-normal residuals, model refinements like the Box-Cox transformation and variable selection …

Computational Design Of Potent Sirna For Braf Oncogene Silencing For Enhancing Cancer Therapy, Muhammad Hermawan Widyananda, Ricadonna Raissa

Karbala International Journal of Modern Science

The discovery of oncogenic BRAF mutations has prompted the development of inhibitors, yet resistance remains widespread. A more effective strategy involves targeting BRAF mRNA with siRNA to overcome resistance to BRAF inhibitors. This study aims to design potent siRNA for BRAF oncogene silencing using a computational approach. The full coding sequence of BRAF was retrieved from the NCBI database and potential siRNAs were predicted using the Ui-Tei, Reynolds, and Amarzguioui rules. Identified siRNAs were further analyzed using various prediction systems and parameters, including their interaction with the hAgo2 protein. The results identified that seven siRNAs (siRNA 23, siRNA 24, siRNA …

Ecodrone: Autonomous Environmental Monitoring, Belsen Lee

Student Scholar Symposium Abstracts and Posters

This project presents EcoDrone, an autonomous aerial drone designed for continuous and automated environmental monitoring. Current environmental monitoring methods rely on stationary sensors or manual data collection, limiting real-time response capabilities. This reliance leads to delayed, incomplete, and spatially limited data and restricts the ability to capture real-time changes. Another challenge includes the difficulty of environmental monitoring in challenging terrain, whether it be wildfire areas, dense forestry, or mountainous terrain. EcoDrone overcomes these challenges by autonomously navigating difficult terrain to collect real-time data, offering more flexible and timely monitoring than stationary or manual methods. The central research question investigates integrating …

Algorithmically Optimal Outer Measures, J. H. Lutz, Neil Lutz

Computer Science Faculty Works

We investigate the relationship between algorithmic fractal dimensions and the classical local fractal dimensions of outer measures in Euclidean spaces. We introduce global and local optimality conditions for lower semicomputable outer measures. We prove that globally optimal outer measures exist. Our main theorem states that the classical local fractal dimensions of any locally optimal outer measure coincide exactly with the algorithmic fractal dimensions. Our proof uses an especially convenient locally optimal outer measure κ defined in terms of Kolmogorov complexity. We discuss implications for point-to-set principles.

Microplastic Concentrations Within The Winyah Bay River Plume, Daniel C. Haughie

Honors Theses

In the last 20 years, microplastics have become a significant concern for ecosystem and public health. The buoyancy and method of introduction makes river plumes a likely repository for microplastic accumulation. A river plume is a bulge of fresher water that expands radially from the mouth of an estuary, with distinct lines called fronts at the leading edge of the plume. A front is a region of convergence between the fresher plume water and the saltier ocean water. The density differences between the two water masses may create an easily identifiable color and salinity gradient. These fronts often allow for …

Transmutation, Sam Berger

MFA in Visual Art

My artistic practice is about change itself. I am inspired by the doubling and layering effects that came out of Surrealist Photography. Scale, fracture, and doubling are intentional components of my process. I combine those methods to create complex works of art, focusing on the untamable light that I hope to capture when making my images, which often are self portraits. Poetry is an integral element of this thesis text as well as my art making process. Through my poetic work I hope to offer my audience a glimpse into how I see and experience the world. This thesis text …

Nonthermalizing Dynamics Of Interacting Rydberg Atoms, Nicolaus A. Chlanda

Physics and Astronomy Honors Papers

An isolated system of ultracold Rydberg atoms can come to equilibrium by exchanging energy through dipole-dipole interactions. In our experiment, a static electric field of a few V/cm shifts the energy levels of the atoms, so that the energy levels are nearly degenerate at zero field and fan out with increasing field to form a manifold. We excite atoms to energy levels near the center of the manifold, where the spacing is nearly harmonic. We allow them to interact for a few microseconds, by which time the population of each energy level has reached a steady state. The population is …

Computational Lipophilicity Calculations Of Fluorinated Morphine Derivatives For Improved Pain Management, Mirabella Romano, Allison Vu, Emily Chen

Student Scholar Symposium Abstracts and Posters

The opioid epidemic impacts 60 million people worldwide every year. Morphine, a commonly prescribed opioid, binds to the μ opioid receptor (MOR) in the body via protonation of the tertiary amino group of morphine and the MOR. An unfortunate side effect of this binding process is its non-selectivity in both peripheral and central tissues. While activation within inflamed peripheral tissues results in pain relief, activation within central tissues results in the unwanted and addictive side effects of opioids. Because there is a discrepancy in pH between healthy (central) and inflamed (peripheral) tissue, selective binding within the inflamed tissues results in …

Exploring Human-Centered Principles To Improve Lecture Slides, Joshua Harlev, Louanne Boyd

Student Scholar Symposium Abstracts and Posters

As a university emphasizing student participation and attention, lectures are central to the educational experience at Chapman. However, slide-based lectures can widely vary in quality and approach. Considering various debunkings of learning styles over the years, it seems more difficult than ever to understand how to most effectively teach students. Effective use of computerized tools has thus become increasingly important as the pace of change continues to increase. Yet, research is available on the effectiveness of teaching methods that can provide guidelines for instructors. With increasingly connected and capable devices at our fingertips, it is imperative to both use the …

Representation And Formalization Of Relation Algebras, Pace S. Nelson, Peter Jipsen

Student Scholar Symposium Abstracts and Posters

Abstract relation algebras were defined by Alfred Tarski in 1941 to capture the algebraic properties of binary relations. An interesting question is whether a given relation algebra is representable as an algebra of binary relations. Donald Monk proved in 1964 that the theory of representable relation algebras is not finitely based, and Robin Hirsch and Ian Hodkinson in 2001 showed that it is an undecidable problem whether a finite relation algebra is representable. However, Roger Maddux’s concept of n-dimensional bases and Steve Comer’s one-point extension method can prove (non)representability for various small algebras. Both methods are based on a two-player …

Experimental Evaluation Of Resource Allocation To Organelles In Eukaryotic Cells, Ronan Hanley

Senior Honors Papers / Undergraduate Theses

Among the hallmarks of the eukaryotic cell is its organization into spatially defined sub-compartments known as organelles. Organelles provide optimized environments for otherwise incompatible biochemical reactions within the cell. It has been shown that there is significant variation in the properties of organelles in a cell, and that cells have access to a limited pool of resources that they can allocate to organelles. This begs the question: by what principles do cells dictate how resources are allocated? To begin to explore this question, we look at resource allocation in S. cerevisiaefrom two perspectives. First, we use a combination of …

Re: Comment Letter For The 2022 Butte Priority Soils Operable Unit (Bpsou) Groundwater Compliance Evaluation (Dated March 10, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Acknowledgement Letter For The Final Blacktail Creek Groundwater Hydraulic Control System Pre-Design Investigation Evaluation Report (Dated February 27, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Development Of Interactive Games On An Affordable Braille Display, Daniel Tsivkovski, Dylan Ravel, Maryam Etezad

Student Scholar Symposium Abstracts and Posters

Developing an affordable and STEM learning-focused Braille display addresses a significant disparity in the market for Braille displays, where most fail to provide a cost-effective, accessible, and education-oriented solution. This research aims to bridge this gap through innovative hardware and software development, offering a comprehensive learning experience to elementary school children (K-6) who are blind/visually impaired. The hardware features a piezo-electric tactile display that displays up to six Braille characters at once or a shape in an 8x8 pin array configuration. The educational software includes a user-friendly website packed with engaging STEM activities specifically designed for blind/visually impaired children. The …

Statistics - What Does My Data Say About Me?, Taylor Gadsden-Deterville

Student Scholar Symposium Abstracts and Posters

For my Introduction to Statistics Class, I have been tasked with collecting unique, personal data to give insight into my daily routine. I decided to record nine different outcomes (two qualitative and seven quantitative). On February 6, 2025, I began with a blank Excel sheet, and so far, I have 57 full days of data collected. I will continue monitoring my findings for the remainder of the Spring 2025 Semester. Per my project instructions, I must include tables and graphs for my qualitative and quantitative outcomes. So far, I have collected daily quantitative data on my screen time (Instagram and …

Nifuroxazide And 4-Hydroxybenzhydrazone Derivatives As New Antiparasitic (Trypanosoma Cruzi And Leishmania Mexicana) And Anti-Mycobacterium Tuberculosis Agents, Timoteo Delgado-Maldonado, Diana V. Navarrete-Carriola, Lenci K. Vazquez-Jimenez, Alma D. Paz-Gonzalez, Baojie Wan, Scott Franzblau, Othman Mueen Mohammed, Lorena Rodríguez-Páez, Charmina Aguirre-Alvarado, Debasish Bandyopadhyay

School of Integrative Biological & Chemical Sciences Faculty Publications

Background/Objectives: Nifuroxazide (Nfz) is a drug that has been used as a scaffold for designing antimicrobial and antiparasitic agents. This study aimed to synthesize and evaluate in vitro of Nfz and twenty-five 4-hydroxybenzhydrazone derivatives as potential anti-Trypanosoma cruzi, anti-Leishmania mexicana, and anti-Mycobacterium tuberculosis agents.

Methods: The compounds were synthesized by condensing 4-hydroxybenzhydrazide with appropriate aldehydes in acidic conditions and structurally confirmed by spectroscopic techniques. All compounds were evaluated in vitro against T. cruzi strains (NINOA and A1), L. mexicana (M379 and FCQEPS strains), and M. tuberculosis (H37Rv strain), followed by enzymatic assays against T. cruzi …

Re: Comment Letter For The 2023 Butte Priority Soils Operable Unit (Bpsou) Groundwater Compliance Evaluation (Dated March 10, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Praxly: An Online Ide For The Praxis Cs Test Pseudocode, Benjamin Saupp

James Madison Undergraduate Research Journal (JMURJ)

No abstract provided.

Using A Pharmacokinetic Model To Design And Evaluate An Early Ctdna Biomarker For Response To Targeted Therapy, Aaron Li

Spora: A Journal of Biomathematics

Early prediction of response to therapy or lack thereof can help physicians plan treatment more efficiently. Biomarkers based on circulating tumor DNA (ctDNA) are promising. However, biomarkers beyond direct comparison to baseline have not been thoroughly explored. We develop a model for ctDNA shedding under targeted therapy that incorporates pharmacokinetics. Using a simulated cohort of virtual patients with varied parameters, we define and analyze a biomarker based on ctDNA samples at baseline, 12 hours, and 24 hours after initiation of treatment. The biomarker identified patients who would achieve partial or complete response with high sensitivity and specificity and was able …

Amplifying Climate Action: San Diego’S Climate Action Plan (Cap) Dashboard, San Diego Regional Climate Collaborative, Courtney Chinn, Marius Van Dongen

San Diego Regional Climate Collaborative

The City of San Diego boasts a strong tourism and recreation industry, partly attributed to the City’s temperate climate. In recent years, extreme weather events tied to climate change have led to an even stronger focus on mitigation and resilience. In 2015, the City adopted a Climate Action Plan (CAP), which was most recently updated in 2022. The CAP established the goal for the community to reach net zero emissions by 2035. In the fall of 2024, to boost the efforts of the CAP, the City of San Diego published their online Climate Action Plan platform, the CAP Dashboard. The …

Understanding California’S 2025 Energy Code, San Diego Regional Climate Collaborative, Caroline Stillitano

San Diego Regional Climate Collaborative

California’s 2025 Energy Code is set to take effect in January 2026. Triannual updates to the Energy Code advance the state’s clean energy and climate resilience goals. For 2025, key updates include expanded heat pump requirements, electric-ready requirements, enhanced ventilation standards, and updated solar and battery storage regulations. These updates aim to reduce greenhouse gas emissions, lower energy costs, and improve public health in California. This case study outlines the main components of the 2025 updates to the California Energy Code (Title 24, Part 6), highlights expected impacts, and identifies financial incentives and programs available to support compliance and facilitate …

Understanding California's Climate Zones, San Diego Regional Climate Collaborative, Caroline Stillitano

San Diego Regional Climate Collaborative

California’s diverse geography led the California Energy Commission (CEC) to divide the state into 16 Climate Zones, each reflecting local weather patterns and energy demands. These zones guide energy-efficient building standards by setting energy budgets tailored to regional conditions. This fact sheet explains the role of climate zones in shaping energy policy, using San Diego County’s four distinct zones as an example of how local climates influence building code requirements.