Digital Commons Network^™

The Shorthorn: January 9, 1951

The Shorthorn Newspaper Collection: 1950s

No abstract provided.

The Shorthorn: October 17, 1950

The Shorthorn Newspaper Collection: 1950s

No abstract provided.

The Shorthorn: October 10, 1950

The Shorthorn Newspaper Collection: 1950s

No abstract provided.

The Shorthorn: September 26, 1950

The Shorthorn Newspaper Collection: 1950s

No abstract provided.

The Shorthorn: May 16, 1950

The Shorthorn Newspaper Collection: 1950s

No abstract provided.

The Shorthorn: April 19, 1950

The Shorthorn Newspaper Collection: 1950s

No abstract provided.

The Shorthorn: March 7, 1950

The Shorthorn Newspaper Collection: 1950s

No abstract provided.

The Shorthorn: February 7, 1950

The Shorthorn Newspaper Collection: 1950s

No abstract provided.

The Shorthorn: January 17, 1950

The Shorthorn Newspaper Collection: 1950s

No abstract provided.

An Exploration Of Simple Methods For The Purification And Separation Of Natural Curcuminoids, Eion S. Hinkle

Research & Creative Achievement Day

The separation of curcumin from other naturally occurring curcuminoids, such as demethoxycurcumin and bisdemethoxycurcumin, presents significant challenges due to their similar chemical structures. Conventional methods like column chromatography are energetically and environmentally costly, requiring large amounts of solvents and extended processing times. Alternatively, preparatory scale high-performance liquid chromatography (HPLC) offers high precision but necessitates expensive equipment, making it less accessible for routine laboratory use. This research explores simpler and more sustainable approaches to purify curcumin, aiming to reduce both the environmental impact and the financial burden associated with traditional separation techniques.

Impact Of Containerization On The Performance Web Applications With Docker, Amin Elkhalifa

Research & Creative Achievement Day

This study aims to evaluate the performance impact of running a web application as a Docker container compared to running it natively. As Docker gains popularity in industry, it becomes increasingly important to understand the performance impact of containerization. This study aims to provide data that contributes to the decision-making process of building performance-sensitive applications. Gathering data consisted of building a web application, exposing an API endpoint, running tests and measuring the relevant performance metrics – CPU utilization and network response time – both in a native environment and within a Docker container. These findings confirm the introduction of overhead …

Using Multilayer Perceptron (Mlp) To Predict Crop Yields, Thomas M. Donnelly

Research & Creative Achievement Day

This study aimed to develop a Multilayer Perceptron (MLP) that accurately predicts crop yields within 10% of ground truth in 80% of cases using weather data, region, soil type, temperature, fertilizer, irrigation, days taken to harvest, and rail fall. The dataset has 1 million unique data points and 10 columns. In order to process the data, all Boolean data had to be converted to integers, Numerical data standardized, while Categorical data was checked for non-null values. The model will be trained using a random selection of 90% of the data for training and 10% for testing. The effectiveness of the …

Using Fluorimetry And Colorimetry For Quantitative Analysis For Biomaterial-Derived Carbon Dots, Kahun N. Vue

Research & Creative Achievement Day

The pursuit of sustainability in nanomaterial synthesis has led to the exploration of biomaterial-derived carbon dots (CDs) as an eco-friendly alternative to conventional methods. This study investigates the synthesis, characterization, and application of CDs derived from various biomaterials, including shrimp shells, food waste, cellulose, keratin, and saccharides. By employing hydrothermal, microwave, and ultrasound-assisted synthesis techniques, this research aims to develop a green, cost-effective approach to producing CDs while reducing environmental impact.

Previous work used shrimp shells as a starting material for a green CD. This work starts with shrimp shells to ensure reproducibility. In the future, novel materials like food …

An Implementation And Comparison Of Nat64 Using Ebpf And The Jool Kernel Module., Arvinder S. Dhanoa

Research & Creative Achievement Day

IPv4 exhaustion has been a prevalent problem for years, as organizations and service providers have fought against the scarcity of IPv4 address space on the internet. NAT64 is increasingly deployed as a solution to this problem. As a result, it becomes increasingly important that the deployment of NAT64 technologies is easy and performant. Numerous implementations of NAT64 technologies already exist, and some new implementations use eBPF as well. In this research, we implemented a CLAT with an eBPF TC classifier and compared its performance to Jool, a widely used kernel module. We did this using a series of virtual machines …

Stego Networks Identification Fragment (Snif), Maria Smith, Ervin Lopez

Defensive Publications Series

The present disclosure provides a method for detecting secret messages, encoded in a Non-Fungible Token (NFT) using steganography. Multiple characteristics such as pixel information, noise, frequency, entropy, and color palette of the NFT are analyzed parallelly and a confidence score is calculated. Based on the confidence score, it is determined whether any secret message encoded in the NFT or not.

Cryptology With Bitcoin And Blockchain Applications, Seth D. Bergmann

OER Textbooks

This book is intended to be used for a first course in cryptography for computer science students. It assumes that the student has had at least one programming course and a discrete structures or discrete math course. This book places an emphasis on algorithms and the internals of cryptographic systems.

The book begins with some classical cryptographic algorithms used for confidentiality. Then it exposes modern cryptographic algorithms for confidentiality, integrity, and authenticity. Both private key (symmetric) and public key (asymmetric) algorithms are covered. This book also describes the workings of the most common cryptocurrency, Bitcoin, as well as blockchain technology. …

Romance Scam Victimization: A Survey-Based Examination Of Financial, Psychological, And Reporting Factors, Ld Herrera

Research & Publications

Romance scams are a growing type of cybercrime in which perpetrators develop and exploit fraudulent romantic relationships with victims to obtain financial resources. These schemes cause substantial economic and psychological damage, yet they are significantly underreported. Official 2022 reports indicate only \$1.3 billion lost to romance scams in the US, but the true financial toll is likely much higher.

Using survey data from 366 victims, this study examines the financial and psychological toll of romance scams, reporting patterns, obstacles to seeking help, and victims' perceptions of received help. Most of the victims (60.9\%) did not seek help from any source, …

The Indiana Statesman, April 24, 2025, Indiana State University

Student Newspaper

‘Concentrate’ exhibition and reception Q&A with Tanmaya Bingham; Pete Hegseth allegedly shares sensitive information

Minutes, College Of Liberal Arts Executive Committee Meeting, Thursday, April 24, 2025, College Of Liberal Arts Executive Committe

Executive Committee Minutes

No abstract provided.

Diverse Dust Sources And Warming Trigger Cyanobacteria Abundance In Freshwater Ecosystems In The Western United States, Juan Manuel González-Olalla, Janice Brahney

Watershed Sciences Faculty Publications

The rise in global temperature and the increase in atmospheric transport and deposition of dust linked to greater aridity, land abandonment, and wildfires, are placing significant stress on freshwater microbial communities. Temperature increases and the nutrients contained in the dust may independently and together alter the metabolism and structure of these communities. However, dust chemistry is widely variable, and pre-existing lake conditions will likely influence the response of the algal and microbial communities to added nutrients and temperature stress. To fill this gap of knowledge, we tested the metabolic and structural response of phytoplankton in two aquatic ecosystems in the …

College Of Liberal Arts Annual Awards Ceremony, 2025, Lee Cohen, University Of Mississippi. College Of Liberal Arts

Liberal Arts Awards

The College of Liberal Arts presented awards to its faculty, staff, students, and alumni in the Gertrude C. Ford Center Student Union Ballroom.

Assessing The Impact Of Internal Flow Dynamics On Detection Region Concentrations Of Low-Cost Optical Particle Counters, Livingstone Quarshie

Theses and Dissertations

Particulate matter (PM) poses significant risks to human health and the environment, making accurate measurement essential for exposure assessment and regulatory decisions. While traditional reference methods provide reliable data, they are often bulky, expensive, and difficult to maintain. Optical Particle Counters (OPCs) offer a cost-effective alternative, commonly used in clean rooms, residential spaces, and personal exposure monitoring. These devices rely on light scattering to measure PM concentrations. However, low cost OPCs face challenges related to calibration and measurement accuracy, requiring careful performance evaluation. This study used computational fluid dynamics (CFD) tools, CONVERGE Studio and ANSYS Fluent, to simulate a simplified …

Predicting Chronic Disease Onset Using Wearable Data, Irshad Shaik

Symposium on Research and Creative Expression (SORCE)

Chronic diseases like cardiovascular diseases and diabetes account for a considerable proportion of worldwide mortality rates, and early detection and prevention are pivotal. The purpose of this project is to create a model that predicts the onset of chronic disease using available physiological data from wearable devices. The system aims to apply machine learning and deep learning methodologies to generate early warning alerts for the patient and their caretakers, as well as personalized preventive care based on continuous health monitoring of the patient. Wearable technologies, despite the current battery life and device bulkiness limitations, represent a promising avenue for collecting …

Predictive Models For Health Monitoring In Wearable Devices, Manideep Akkinapelli

Symposium on Research and Creative Expression (SORCE)

Wearable health monitoring systems, integrated with data-driven predictive models, are transforming personalized healthcare by enabling early disease detection and proactive intervention. Traditional health monitoring relies on rule-based thresholds and prior medical knowledge, limiting adaptability to individual variations. This project leverages machine learning models—Random Forest, Support Vector Machines (SVM), and Neural Networks—to analyze physiological data from wearable devices, enhancing predictive accuracy in detecting conditions like heart disease and sleep apnea.

The study addresses the growing need for real-time, personalized health monitoring, particularly as populations age and chronic diseases become more prevalent. Arizona serves as a testbed for validating model …

Algorithm For Predicting Bitcoin Fees, Mason Tulacz, Matthew Landrum, Kristian Simakoski, Mason Ellerbroek

Symposium on Research and Creative Expression (SORCE)

Bitcoin was designed to be a decentralized peer-to-peer cash system, which creates scarcity in two ways: the total supply of Bitcoin available, and the block size of each block. The blocks, which form what is called the Bitcoin Blockchain, can contain at most 4 MB of data. Since the size of blocks is limited, and each transaction takes up some size, the number of transactions included in a block is necessarily limited. To combat this, users incentivize their transaction to be included in a block through a transaction fee, or the price the transactor pays a miner to include their …

A 3d Nash Solution For The Ukraine-Russia War, Matthew Landrum

Symposium on Research and Creative Expression (SORCE)

In the nearly three years since the Ukrainian-Russian war officially began, it has become increasingly clear that neither country can obtain a total military victory. That is, some type of negotiated, or arbitrated, outcome must be achieved. In this presentation we explore what a solution obtained by the Nash Arbitration Method (NAM) might look like.

Modeling Energy Efficiency And Thermal Comfort In Aging Residential Buildings: The Impact Of Temperature Control Systems On Occupant Behavior And Energy Consumption, Julia Radcliffe

Symposium on Research and Creative Expression (SORCE)

This study presents a model to investigate the effect of temperature control systems on energy efficiency and thermal comfort in aging residential buildings. The model addresses how heating systems, such as radiators and thermostats, interact with building elements and occupant behaviors to influence energy consumption. Focusing on variables such as building age, insulation quality, and outdoor temperature, the model simulates the dynamics of energy use within older structures. Drawing from datasets on energy consumption and existing simulation frameworks like NetLogo, the model incorporates the role of insulation, structural integrity, and occupant habits in determining energy efficiency. The simulation results reveal …

The X3 Guitar Processor: A Software Adaptation Of Vintage Analog Technology, Jacob Griffin

Symposium on Research and Creative Expression (SORCE)

The X3 Guitar Processor is a software adaptation of the Rockman X100 headphone amplifiers and stompbox pedals made popular in the 1980s. This project, which is still in progress, implements a comprehensive signal path to convert a dry input signal from a guitar into a fully developed tone ready for performance. The signal chain includes an adjustable input gain control, a compressor, a distortion generator, a complex filter for cabinet simulation, and an optional stereo chorus effect. This software was built using the JUCE framework, a set of C++ libraries designed to create and manage audio applications. Further development will …

Investigating The Effects Of Gibberellin Treatments On Different Dwarf Millet Genotypes And Identifying The Mechanism Responsible For Genetic Dwarfism, Macie Mccarty, Audrie Miller, Quinn Calvert, Abi Waters, Dania Creary, Justin Coleman

2025 Student Academic Showcase

Gibberellins (GAs) are essential plant hormones involved in regulating growth and development, particularly in stem elongation, seed germination, and flowering. In cereal crops like millet, dwarf genotypes are of agricultural interest due to their potential for increased stability and yield efficiency. However, the genetic mechanisms underlying dwarfism in millet remain unclear. This study investigates the response of various dwarf millet genotypes to gibberellin treatments and seeks to determine the genetic basis of their dwarfism. We hypothesize that genotypes with gibberellin biosynthesis deficiencies will exhibit increased stem elongation when treated with gibberellin, while genotypes with signal transduction defects will show minimal …

Hplc Method Development For The Separation And Quantification Of Common Pain Relievers, Dylan Pritchett, Joshua Lewis, Jennifer Firestine

2025 Student Academic Showcase

Over-the-counter pain relievers often contain multiple active ingredients that can be analyzed by High Performance Liquid Chromatography (HPLC). A method developed and optimized to separate acetaminophen, aspirin, and caffeine from these tablets. The contents of Excedrin pain relievers and the generic counterpart from Walgreens, Walmart, and CVS were tested. Optimization examined multiple mobile phases, temperatures, and run times for the procedure. The results were compared to analytically prepared standards as well as the packaging information, with the primary goal of creating a reproducible and efficient protocol for HPLC instrumentation. The method successfully separated the contents of all materials reliably within …