Physical Sciences and Mathematics Commons^™

Adapt And Studio: Building The Textbook Of The Future With Next Generation Oer Homework System, Delmar S. Larsen, Josh Halpern

All Things Open

One of the principal limiting factors in large scale adoption of OER is the absence of comparable free or low-cost homework platforms to complement existing and developing OER textbooks. This presentation addresses the LibreTexts efforts to remove this barrier by building and expanding the open-source ADAPT homework system - a central component of the "LibreVerse" ecosystem of courseware technologies - to supplant existing for-profit commercial systems. ADAPT is designed as a centralized OER question bank (>150 k questions) that combines adaptive learning incorporating learning trees with culturally responsive pedagogy for advanced use. We will demonstrate how instructors can use …

The Social Pot: A Social Media Application, Reid Long

ASPIRE 2024

The Social Pot is a web application that allows a user to post to Instagram and X simultaneously from one place. The user creates a Social Pot Account and from there can set their Instagram username and password within the home page. Once the user attempts to post, it will redirect them to login to X which once successful will make the tweet. Used the API 'instagram-private-api'. User needed to give access to my X Project which in turn gave an Auth token (via X redirect URL). The auth token was then sent to my endpoint in order to get …

Combination Nanomedicines For Cancer Therapy, Noureen Siraj

Arkansas Women in STEM Conference

Nanomedicines derived from combination ionic nanomaterials (INMs) offer synergistic therapy for effective treatment of cancer. This approach addresses the limitations of conventional treatment options and offers active targeting of tumors due to EPR effect

Study Of Solvent-Free, Microwave-Assisted Ring-Opening Reactions Of Phenyl Glycidyl Ether With Azoles, Marygrace Mcafee, Joshua Pack, Brian Walker

Arkansas Women in STEM Conference

Literature precedent supports that microwave-assisted organic synthesis can afford fast, high-yield, and efficient synthetic pathways, often comparable to or better than traditional heating methods. Building on this, our work utilizes microwave-assisted synthesis for the epoxide ring opening of phenyl glycidyl ether through nucleophilic addition, aiming to create both pyrazole and imidazole derivatives. These heterocyclic azole compounds have been shown to be important due to their presence in many natural products, as well as their anti-fungal and other pharmacological activities. We are exploring the use of microwave irradiation under neat (solvent-free) conditions, focused on a streamlined approach to minimize time, energy …

Women In Stem Conference, Maryann Rettig, Sara E. Hubbard Ph.D

Arkansas Women in STEM Conference

Analysis of BPA Leaching from Feminine Hygiene Products into Simulated Vaginal Fluid using Fluorescence Spectrophotometry

Maryann Rettig and Sara E. Hubbard, Ph.D.

Bisphenol-A (BPA) is a chemical compound commonly used to produce several plastics and epoxy resins. Recently, BPA has also been detected in feminine hygiene products. Because of a structural resemblance to estradiol, BPA can act as an endocrine disruptor, which has linked BPA to several health complications such as cancer development, reduced fertility, and early puberty. In recent summer research at Ouachita Baptist University, it was determined that fluorescence spectrophotometry could be used to monitor BPA leaching over …

Poleward Moving Auroral Forms And Magnetic Reconnection, Gasia Excel, Gerard Fasel, Julia Johnson, Jordana Xu, Parker Para, Amiel Silbol, Rachel Rodriguez, John Mann

Seaver College Research And Scholarly Achievement Symposium

Magnetic reconnection on the dayside magnetosphere is one of the main mechanisms for the solar wind to transfer energy and momentum to the terrestrial environment. This process is assumed to be most effective when the interplanetary magnetic field (IMF) is southward. Poleward moving auroral forms (PMAFs) have been identified in past studies as ionospheric signatures of magnetic reconnection on the dayside. The PMAFs occurring for the positive/(negative) IMF y-component first expanded westward(dawn)/eastward(dusk) before propagating poleward. This PMAF study presents a comprehensive set of events where the initial brightening moves through a pre-existing dayside auroral arc westward(dawn)/eastward(dusk) when the IMF y-component …

Dayside Pulsating Diffuse Aurora And The Interplanetary Magnetic Field, Thomas Lewer, Gerard J. Fasel, Maxwell Fargo, Ethan Swonger, S. Lee, Aidan Hulbert, Owen Bradley, Arman Manookian, Tommy Cleaveland, B. Yonano, John Mann, F. Sigernes, D. Lorentzen

Seaver College Research And Scholarly Achievement Symposium

Changes in the interplanetary magnetic field (IMF) orientation can affect pulsations in the dayside aurora. It has been reported that multiple dayside arcs(Pc 5 band) were replaced by diffuse pulsating aurora (Pc 3-4 band) when the IMF turned northward. Dayside green (557.7 nm emission) pulsating aurora had been reported to occur between 0800 and 1100 MLT (0500-0800 UT) in patches. The pulsations are normally associated with Pc 3-5 range. This statistical study examines pulsating green aurora using ground-based optical data are obtained from the Kjell Henriksen Observatory (KHO) in Longyearbyen, Svalbard (GEO: N, E; AACGM: N, E). All-Sky Camera images …

X-Currents And Extreme Brightening Events, Abrielle Tio An Mei Wang, Gerard J. Fasel, Audrey Daucher, Makena Swenski, Andrea Black, John Mann, Maame Osei-Tutu

Seaver College Research And Scholarly Achievement Symposium

The solar-terrestrial interaction is a dynamic process which manifests itself in the ionosphere. Interplanetary (IP) shocks or solar wind dynamic pressure pulses can generate enhanced brightening in dayside aurora. Foreshock transients are capable of inducing pressure changes, larger in magnitude than solar wind pressure pulses, which also contribute to intensifying dayside aurora. These pressure variations can accelerate particles into the ionosphere, generating field- aligned currents that produce magnetic impulse events and enhanced dayside auroral activity with periods of increased brightening. This study presents several dayside auroral brightening events which are not associated with IP shocks or solar wind dynamic pressure …

Machine Learning Prediction Of Photoluminescence In Mos2: Challenges In Data Acquisition And A Solution Via Improved Crystal Synthesis, Ethan Swonger, John Mann, Jared Horstmann, Daniel Yang

Seaver College Research And Scholarly Achievement Symposium

Transition metal dichalcogenides (TMDCs) like molybdenum disulfide (MoS2) possess unique electronic and optical properties, making them promising materials for nanotechnology. Photoluminescence (PL) is a key indicator of MoS2 crystal quality. This study aimed to develop a machine-learning model capable of predicting the peak PL wavelength of single MoS2 crystals based on micrograph analysis. Our limited ability to consistently synthesize high-quality MoS2 crystals hampered our ability to create a large set of training data. The project focus shifted towards improving MoS2 crystal synthesis to generate improved training data. We implemented a novel approach utilizing low-pressure chemical vapor deposition (LPCVD) combined with …

Chromatin Pattern Quantification For The Differentiation Of White Blood Cells, Paul Young, Ryan Cordner, Abigail Gordhamer

Annual Research Symposium

Nuclear chromatin patterns have been used historically to distinguish between different developmental stages and lineages of white blood cells. While it is common to characterize cells based on arbitrary ‘open’ or ‘closed’ chromatin patterns, quantification of chromatin data is lacking. By extracting nuclei from a database of white blood cells and running fractal analyses using TWOMBLI, we were able to produce meaningful data quantifying chromatin patterns. Our data were put through a random forest algorithm which grouped each point based on relationship probability. The algorithm compared immature and mature cell types as well as cells of similar maturity and differing …

Predicting Crop Yield Using Remote Sensing Data, Mary Row, Jung-Han Kimn, Hossein Moradi

SDSU Data Science Symposium

Accurate crop yield predictions can help farmers make adjustments or changes in their farming practices to optimize their harvest. Remote sensing data is an inexpensive approach to collecting massive amounts of data that could be utilized for predicting crop yield. This study employed linear regression and spatial linear models were used to predict soybean yield with data from Landsat 8 OLI. Each model was built using only spectral bands of the satellite, only vegetation indices, and both spectral bands and vegetation indices. All analysis was based on data collected from two fields in South Dakota from the 2019 and 2021 …

Predicting The Reactions Of Cs2, Ocs, And Co2 With Group Iv And Group Vi Transition Metal Oxides, Marissa Shea Blair, Zachary Ryan Lee Phd, David A. Dixon Phd

Posters-at-the-Capitol

Building on a recent serious of high level electronic structure studies of Lewis acid gas reactions with metal oxide sorbents, DFT (B3LYP and ωB97X-D) and CCSD(T) methods are being used to predict the Lewis acid-base addition (physisorption) and formation of metal oxide carbonate/thiocarbonate formation (chemisorption) reactions of CS2, OCS, and CO2 of CS2, OCS, and CO2 with Group IV (MO2)n and Group VI (MO3)n (n = 1 - 3) nanoclusters. For the Group IV oxides, chemisorption to form terminal carbonates and thiocarbonates is predicted to be the most favored, with thiocarbonate ligand binding energies slightly more exothermic than their carbonate …

Requiring Students To Integrate Chatgptinto Course Assignments, Mark Small, Venera Balidemaj

Clemson Teaching Excellence Conference 2024: Teaching in the Age of AI

No abstract provided.

Aftdc 2024 Session I English.- Decoding Complexity: Visualizing The Trans-Disciplinary Communication (Tdc) Logarithmic Spiral, Jasmin Cowin

Trans-Disciplinary Communication

No abstract provided.

Aftdc 2024 Session Ii Español.- Open Science Framework (Osf) Como Herramienta Para La Colaboración Transdisciplinaria, Cristo Leon

Trans-Disciplinary Communication

No abstract provided.

Aftdc 2024 Open Discussion On The Association's Vision: An Opportunity For All Members To Share And Shape The Future Direction Of Aftdc, Cristo Leon

Trans-Disciplinary Communication

No abstract provided.

Climate Change Impact On Bridge Scour Risk In Ny State: A Gis-Based Risk Analysis Model, Muhammad Hassan Butt

Publications and Research

Bridge scour, the primary cause of bridge failure in the United States, escalates post-severe storms, necessitating effective mitigation. This study employs a GIS-based risk analysis model to assess climate change's impact on bridge scour and associated risks in New York State. Data from the National Bridge Inventory, climate hazard maps, and geospatial data are integrated.

Data Quality Checks: Implementation With Popular Data Collection Crowdsourcing Platforms, James Down, Gregory Balkcom, Kristine Duncan, Ngan (An) Truong, Andrew Lewis

Symposium of Student Scholars

The utilization of online crowdsourcing platforms for data collection has increased over the past two decades in the field of public health due to the ease of use, the cost-saving benefits, the speed of the data collection process, and the accessibility of a potentially true representative population. Although these platforms offer many advantages to researchers, significant drawbacks exist, such as poor data quality, that threaten the reliability and validity of the study. Previous studies have examined data quality concerns, but differences in results arise due to variations in study designs, disciplinary contexts, and the platforms being investigated. Therefore, this study …

Toxic Comment Classification Project, Brandon Solon

Symposium of Student Scholars

The digital landscape has blossomed thanks to the surge of online platforms, boosting the variety and volume of user-created content. But it's not without its shadows; cyberbullying and hate speech have also proliferated, making web spaces less safe. At our project centerstage, we work on creating a machine learning model skilled at spotting toxic comments with precision - this way contributing towards an internet society free from fear or discomfort. We put well-documented datasets to good use along with careful preprocessing maneuvers while trialing diverse machina-learning protocols as part of constructing solid classification architecture for usages beyond current limitations within …

Determining The Ideal Concentrations Of Ethanol And Propylene Glycol In Ethosomes For Transdermal Delivery Of Vitamin D3, Rebecca Conner

Harrisburg University Research Symposium: Highlighting Research, Innovation, & Creativity

Vitamin D₃ is an important chemical in the human body, however, many Americans have low levels of this vitamin. There are plenty of oral supplementations for Vitamin D₃ deficiency, but those of older age and busy schedules may struggle to meet the minimum requirement. A recently developed ethosomal transmembrane delivery system (Touitou, 2000), similar to liposomes but also containing ethanol, allows users to apply a gel dermally and have the desired drug or active ingredient reach the bloodstream faster. However, there is considerable variation in the concentration of ethanol and permeation enhancers used. Using an affordable method to …

Artificial Intelligence History, And Libraries: History And Legacy Of Library Contributions To Machine Learning, Wilhelmina Randtke

Library Faculty Presentations

Machine learning seems to be newly everywhere. It's not new, so much as faster processing makes it newly useful. Imagine an automated cataloging program that takes 300 years to run, versus one that takes a week to run. Increased processing speed is a substantive change. This presentation overviews the history of libraries and artificial intelligence. First, teasing out past applications of machine learning in libraries. High quality results and concrete applications of artificial intelligence in libraries have been explored and published for decades. Over time, faster processing allows use at scale. Second, how library and metadata work contributes to machine …

Sentiment Analysis Before And During The Covid-19 Pandemic, Emily Musgrove

Mathematics Summer Fellows

This study examines the change in connotative language use before and during the Covid-19 pandemic. By analyzing news articles from several major US newspapers, we found that there is a statistically significant correlation between the sentiment of the text and the publication period. Specifically, we document a large, systematic, and statistically significant decline in the overall sentiment of articles published in major news outlets. While our results do not directly gauge the sentiment of the population, our findings have important implications regarding the social responsibility of journalists and media outlets especially in times of crisis.

Improving The Efficiency Of Liquid-Hydrogen Simulation Via Event Storage, Jake Kosa

Physics and Astronomy Summer Fellows

We contributed to the analysis of gamma-ray spectroscopy data collected at the Facility for Rare Isotope Beams at Michigan State University by speeding up the UCGretina simulation code, used in the analysis and planning of experiments. Simulating beam-target interactions in a liquid-hydrogen target system is a time intensive task, even when parallelized. In the process of analyzing data, a large number of simulations must be run for different gamma-ray energies, target positions, and lifetimes of excited states. We are addressing the most computationally intensive component of the simulations by adding the ability to simulate a large sample of beam particles …

Carbon Nanotubes Animated, Nicholas Onyemeke

Chemistry Summer Fellows

In this project, I implemented the knowledge about carbon nanotubes into an animated short. The animated short is meant to simplify the research so that anyone can understand regardless of their background in science. The research I did was on how nanotubes can be used in the medical field as a measure to inhibit bacteria growth. A nanotube dye solution was synthesized to inoculate bacteria along with an antibiotic solution with the nanotubes. This was done to observe how well the nanotubes can inhibit bacteria growth without the need for a drug compared to the effectiveness when it has a …

Survey Of The Performance Of Gold Nanoparticles Within An Ssdna-Stabilized Biosensor For The Detection Of Hg2+, Madalyn Zagajowski

Pence-Boyce STEM Student Scholarship

Methods

5 nm AuNPs were synthesized by combining solutions of HAuCl4 and sodium citrate, followed by dropwise addition of NaBH4 solution and aging for 24 hours. Additionally, Hg-bound poly(30)T ssDNA oligos were prepared by incubating with HgCl2 solution, with exonuclease I being added to denature unbound DNA. Aliquots of the AuNP solution were then treated with the ssDNA, either Hg-bound or non-Hg bound, and UV-vis and fluorescence spectra were taken of the samples with a Shimadzu UV-1280 spectrophotometer and a Hitachi F-2500 fluorescence spectrophotometer.

Results & Discussion

The UV-vis spectral data of the non-Hg bound AuNP/ssDNA complex samples did not …

Blind Fighter – A Video Game For The Visually Impaired, Avery Wayne Harrah

ATU Research Symposium

Blind Fighter is a video game made to be playable by anyone, regardless of any visual impairments the player may have. The game relies on auditory queues to allow players to understand what is happening in the game without ever having to see the screen. The project’s goal is to serve as a proof of concept that video games can be made inclusive with a few additions during development, without sacrificing overall quality. To do this, the game features full graphics in addition to testing many strategies for visually impaired players, including direction-based audio, unique sound effects for each game …

Crime Prediction Using Machine Learning: The Case Of The City Of Little Rock, Zurab Sabakhtarishvili, Sijan Panday, Clayton Jensen

ATU Research Symposium

Crime is a severe problem in the city of Little Rock, Arkansas. In this study, we aim to develop a machine-learning model to predict criminal activities in the city and provide insights into crime patterns. We will analyze publicly available crime datasets from Little Rock Police Department from January 2017 to March 2023 to identify trends and patterns in crime occurrence. We used data cleaning and exploratory data analysis techniques, such as figured-based visualizations, to prepare the data for machine learning. We will employ the Neural Prophet, a time-series machine learning model, to predict daily crime counts. The model will …

Reworking Of The Arkansas Tech Human Resources Employee Records Software, Dalton J. George, Brayan Bonilla-Chavez, John Modica, Angelina Das

ATU Research Symposium

Evisions Argos is a real-time reporting tool used by Arkansas Tech in many record-keeping departments. Reworking HR's software using this tool, security and database access concerns were negated, as Argos is already connected to the University's backend. Using Argos, we have made ATU HR's employee records software more user friendly and built a system that can be pushed to production for use by the university. As a secondary portion to this final project, we developed a proof-of-concept web application using the MEAN (Mongo, Express, Angular, Node) stack. This gave us the opportunity to produce a full-stack application from scratch as …

The Ozark Getaway, Houston Barber, Marcus Gasca, Evan Reece Matlock, Avery Wayne Harrah

ATU Research Symposium

Website designed for usage of renting AirBnb houses outside of the original website under the specific owner.

Premium Wireless, Dakota Burkhart, Andrew Clark, Garrett Kenney, Brandon Monroe

ATU Research Symposium

Our work implements an inventory system and appointment system for the Premium Wireless phone company. It includes separate views for employees to manage inventory and view appointments for the day and the near future and allows customers to view all current inventory and set an appointment.