Physical Sciences and Mathematics Commons^™

Hgs-3 The Influence Of A Tandem Cycling Program In The Community On Physical And Functional Health, Therapeutic Bonds, And Quality Of Life For Individuals And Care Partners Coping With Parkinson’S Disease, Leila Djerdjour, Jennifer L. Trilk

SC Upstate Research Symposium

Purpose Statement: Several studies have shown that aerobic exercise can have a positive impact on alleviating symptoms experienced by individuals with Parkinson's disease (PD). Despite this evidence, the potential benefits of exercise for both PD patients and their care partners (PD dyad) remain unexplored. This research project investigates the effectiveness, therapeutic collaborations, and physical outcomes of a virtual reality (VR) tandem cycling program specifically designed for PD dyads.

Methods: Following approval from the Prisma Health Institutional Review Board, individuals with PD were identified and screened by clinical neurologists. The pre-testing measures for PD dyads (N=9) included emotional and cognitive status …

Cpm-8 Europa Unveiled: A Multi-Wavelength Analysis, Trinity A. Ward, Michelle Deady

SC Upstate Research Symposium

This study is an analysis of the compositional structure of Jupiter’s icy moon, Europa, by utilizing multi-wavelength spectroscopy. The objective of this study is to enhance our understanding of Europa’s compositional and potential biological characteristics.

Spectral data was obtained from various space missions and instruments. We are looking at imaging and spectroscopy-focused instruments RALPH, LORRI, LEISA, ALICE, and MVIC which were all part of the New Horizons spacecraft that launched in 2006. The data collected was from the Jupiter fly-by in February-March 2007.

This project sets the tone for the year with the upcoming Europa Clipper mission by NASA, set …

A Biocompatible Hybrid Approach For The Selection Of Gas Drainage Methods In Coal Mines Based On The Best-Worst Method And Analytic Network Process, Amir Jafarpour, Mehdi Najafi, Ali Dabagh

Journal of Sustainable Mining

Methane drainage is one of the main steps in underground coal mining projects. The operation of methane extraction from coal mines/seams is important from the safety, economic, and technical points of view. Selecting the appropriate method for methane drainage is very difficult, and if the method is not chosen correctly, it will lead to environmental problems. The relationship between different influencing factors, parameters, and methods (and how they affect) is significant in choosing the method of gas drainage. In the current study, a hybrid algorithm is presented based on an Analytic Network Process (ANP) and a method based on the …

Comprehensive Question And Answer Generation With Llama 2, Matous Hybl

MS in Computer Science Theses

Since the introduction of transformers, large language models have proven capable in many natural language processing fields. However, existing systems still face challenges in generating high-quality extractive questions. Base models and public chatbots fall short if the question source or quantity are critical. Our contribution is a question and answer generator for generating comprehensive, extractive questions and answers. This approach includes fine-tuning a LLaMA 2 base model for answer extraction (AE) and question generation (QG). We evaluate the resulting system using common automated metrics and a manual evaluation. We find that our system is comparable to the latest research and …

The Borderline Between Beneficial And Dishonest Ai: A Technical Report, Seth Richards, Katherine Shell, Seth Wright

Student Works

Artificial Intelligence (AI) has been used since 1950 but it was largely overlooked by the public until 2022. Current discussions about AI center around academic integrity. This report seeks to understand if AI can be handled, used, or accepted in Lipscomb’s academic environment as a beneficial aid to writing and research, without actively doing these tasks for an individual. Generative AI is a neural network, which enables it to receive input, gather information from a database of existing content, and create new content [2]. Due to the nature of generative AI, its beneficial contributions to academia are extremely limited.

Individualized Learning As An Ai Tool: A Technical Report, Petsimnan Blessing Dayit, Kasen Holt, Nuala Roper

Student Works

The purpose of the report’s research is to test and analyze whether Artificial Intelligence (AI) platforms can be used as beneficial tools for individualized learning at Lipscomb University without violating the Academic Integrity Policy. The methods section evaluates AI on the scopes of accuracy, analytical thinking, and adaptability. The results demonstrated how each platform responded to the prompts within the lines of the scope. The answers they gave were accurate, detailed, and contained various adaptations to make explanations clearer for the user. The team concluded that AI can be used at Lipscomb as a beneficial tool for students in their …

On Axially Rational Regular Functions And Schur Analysis In The Clifford-Appell Setting, Daniel Alpay, Fabrizio Colombo, Antonino De Martino, Kamal Diki, Irene Sabadini

Mathematics, Physics, and Computer Science Faculty Articles and Research

In this paper we start the study of Schur analysis for Cauchy–Fueter regular quaternionic-valued functions, i.e. null solutions of the Cauchy–Fueter operator in . The novelty of the approach developed in this paper is that we consider axially regular functions, i.e. functions spanned by the so-called Clifford-Appell polynomials. This type of functions arises naturally from two well-known extension results in hypercomplex analysis: the Fueter mapping theorem and the generalized Cauchy–Kovalevskaya (GCK) extension. These results allow one to obtain axially regular functions starting from analytic functions of one real or complex variable. Precisely, in the Fueter theorem two operators play a …

Immersive Japanese Language Learning Web Application Using Spaced Repetition, Active Recall, And An Artificial Intelligent Conversational Chat Agent Both In Voice And In Text, Marc Butler

MS in Computer Science Project Reports

In the last two decades various human language learning applications, spaced repetition software, online dictionaries, and artificial intelligent chat agents have been developed. However, there is no solution to cohesively combine these technologies into a comprehensive language learning application including skills such as speaking, typing, listening, and reading. Our contribution is to provide an immersive language learning web application to the end user which combines spaced repetition, a study technique used to review information at systematic intervals, and active recall, the process of purposely retrieving information from memory during a review session, with an artificial intelligent conversational chat agent both …

Mathematically Rigorous Deep Learning Paradigms For Data-Driven Scientific Modeling, Owen Nicholas Davis

Mathematics & Statistics ETDs

This dissertation explores the crucial role of data-driven modeling in science and engineering, with a focus on developing surrogate models to accelerate large-scale computational tasks, aiding in both outer-loop functions like uncertainty quantification and expensive inner-loop tasks within broader computational frameworks. Challenges arise with increased problem dimension and sparse, noisy training data, particularly significant when constructing surrogates for very expensive computational models where acquiring sufficient high-fidelity training data is unfeasible. In such scenarios, training surrogates from an ensemble of multifidelity information sources of varying accuracy and cost becomes essential. We emphasize neural network-based modeling paradigms, which are flexible in integrating …

Uni Science Education Update Conference [Program] April 12, 2024, University Of Northern Iowa Science Education Program.

Science Education Update Conference Documents

he program for the Science Education Update Conference held on April 12, 2024 at the University of Northern Iowa.

A Case Study Of The Crashoverride Malware, Its Effects And Possible Countermeasures, Samuel Rector

Cybersecurity Undergraduate Research Showcase

CRASHOVERRIDE is a modular malware tailor-made for electric grid Industrial Control System (ICS) equipment and was deployed by a group named ELECTRUM in a Ukrainian substation. The malware would launch a protocol exploit to flip breakers and would then wipe the system of ICS files. Finally, it would execute a Denial Of Service (DOS) attack on protective relays. In effect, months of damage and thousands out of power. However, due to oversights the malware only caused a brief power outage. Though the implications of the malware are cause for researching and implementing countermeasures against others to come. The CISA recommends …

High-Resolution And Quality Settings With Latent Consistency Models, Steven Chen, Junrui Zhang, Rui Ning

Cybersecurity Undergraduate Research Showcase

Diffusion Models have become powerful generative models which is capable of synthesizing high-quality images across various domains. This paper explores Stable Diffusion and mostly focuses on Latent Diffusion Models. Latent Consistency Models can enhance the inference with minimal iterations. It demonstrates the performance in image in-painting and class-conditional synthesis tasks. Throughout the experiment different datasets and parameter configurations, the paper highlights the image quality, processing time, and parameter. It also discussed the future directions including adding trigger-based implementation and emotional-based themes to replace the prompt.

Citdet, Jordan A. James, Heather K. Manching, Matthew R. Mattia, Kim D. Bowman, Amanda M. Hulse-Kemp, William J. Beksi

Computer Science and Engineering Datasets

The CitDet dataset is composed of images captured at the USDA Agricultural Research Service Subtropical Insects and Horticulture Research Unit in Fort Pierce, FL, USA. Data was collected between October 2021 and October 2022. 579 images were captured from different sections of the orchard using the open-source application Field Book on Android tablets. While collecting images, we faced the camera in a portrait orientation directly centered on the tree of interest. All images were taken at the edge of the soil in the tree row to simulate a ground-based robot imaging the tree while moving between two rows of trees. …

Data Profits Vs. Privacy Rights: Ethical Concerns In Data Commerce, Amiah Armstrong

Cybersecurity Undergraduate Research Showcase

In today’s digital age, the collection and sale of customer data for advertising is gaining a growing number of ethical concerns. The act of amassing extensive datasets encompassing customer preferences, behaviors, and personal information raises questions of its true purpose. It is widely acknowledged that companies track and store their customer’s digital activities under the pretext of benefiting the customer, but at what cost? Are users aware of how much of their data is being collected? Do they understand the trade-off between personalized services and the potential invasion of their privacy? This paper aims to show the advantages and disadvantages …

What Students Have To Say On Data Privacy For Educational Technology, Stephanie Choi

Cybersecurity Undergraduate Research Showcase

The literature on data privacy in terms of educational technology is a growing area of study. The perspective of educators has been captured extensively. However, the literature on students’ perspectives is missing, which is what we explore in this paper. We use a pragmatic qualitative approach with an experiential lens to capture students’ attitudes towards data privacy in terms of educational technology. We identified preliminary, common themes that appeared in the survey responses. The paper concludes by calling for more research on how students perceive data privacy in terms of educational technology.

Investigating Vulnerabilities In The Bluetooth Host Layer In Linux, Jack Dibari

Cybersecurity Undergraduate Research Showcase

This paper investigates vulnerabilities within the Bluetooth host layer in Linux systems. It examines the Bluetooth protocol's evolution, focusing on its implementation in Linux, particularly through the BlueZ host software. Various vulnerabilities, including BleedingTooth, BLESA, and SweynTooth, are analyzed.

The Security Of Deep Neural Networks, Jalaya Allen

Cybersecurity Undergraduate Research Showcase

Our society has transitioned from our primitive lifestyle to soon, an increasingly automatic one. That idea is further exemplified as we shift into an AI era, better known as Artificial intelligence. Artificial Intelligence is classified as computer systems that can perform tasks that typically require human intelligence. However, a common thought or question that most might have is, how is this done? How does AI process information the way we want it to and have access to so much information? AI is trained by systems called AI models. These modeling programs are trained on data to recognize patterns or make …

Volumetric Reconstruction Of Ionospheric Electric Currents From Tri-Static Incoherent Scatter Radar Measurements, Jone Peter Reistad, Spencer Mark Hatch, Karl M. Laundal, Kjellmar Oksavik, Matthew David Zettergren, Heikki Vanhamaki, Ilkka I. Virtanen

Publications

We present a new technique for the upcoming tri-static incoherent scatter radar system EISCAT 3D (E3D) to perform a volumetric reconstruction of the 3D ionospheric electric current density vector field, focusing on the feasibility of the E3D system. The input to our volumetric reconstruction technique are estimates of the 3D current density perpendicular to the main magnetic field, $\mathbf{j} \perp$, and its co-variance, to be obtained from E3D observations based on two main assumptions: 1) Ions fully magnetised above the $E$ region, set to 200 km here. 2) Electrons fully magnetised above the base of our domain, set to 90 …

New Vertebrate Microfossils Expand The Diversity Of The Chondrichthyan And Actinopterygian Fauna Of The Maastrichtian–Danian Hornerstown Formation In New Jersey, Zachary Boles, Paul V. Ullmann, Ian Putnam, Mariele Ford, Joseph T. Deckhut

School of Earth & Environment Departmental Research

The abundance of shark and actinopterygian fossils in the Cretaceous and Paleogene strata of the Atlantic Coastal Plain is well documented; but much remains unknown about the survivorship patterns of these major components of shallow marine faunas in the western Atlantic through the K/Pg mass extinction. To shed light on this subject, we describe an assemblage of new actinopterygian, chondrichthyan, and reptilian microfossils recently recovered from the Maastrichtian Navesink and Maastrichtian–Danian Hornerstown formations at the Jean and Ric Edelman Fossil Park at Rowan University in Mantua Township, New Jersey. The new microfossils clarify extinction patterns across the K/Pg, create temporal …

Investigation Of Convection Cells Via Truncated Eigenmode Decomposition, Gillian Donley, A. E. Fraser

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Convection cells are found in a variety of contexts throughout physics, including plasmas within the stellar interior and in neutral fluids such as planetary atmospheres. Rayleigh Benard Convection (RBC) is the most well studied model for this behavior, describing convection in fluids that are heated from below and cooled from above, resulting in a temperature gradient which can drive instabilities. Under the right conditions, this instability develops and drives convective heat transport, which is still actively researched in fluid and plasma dynamics today. We study the neutral fluid configuration of this system using a novel modeling approach that approximates the …

Phighting Phosphorus: The Effects Of Sedimentary Phosphorus On The Macatawa Watershed, Elizabeth Kelley, Rachel Fusik, Jake Lyon

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Lake Macatawa experiences severe eutrophication and algal blooms that negatively impact the native species and recreational usage of the lake. There have been several previously completed studies on phosphorus pollution in the water by the Hope College Day1 Watershed Group. However, these measurements do not include lake sediments, which could also be a significant reservoir of phosphorus. Our research group decided to test the sediment at the same three lake locations tested by the Watershed Group, taking two core samples at each location. These samples were dried, combusted in a muffle oven, weighed, digested from solid to liquid, and then …

Development Of A Liquid Chromatography Method For The Quantification Of Carbohydrates In Peat Soils, Christopher Klaver, Parker Diaz, Abigail Brewer, Gael Figueroa-Enriquez, Madison Smith

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Peatlands are an important carbon sink. However, climate change threatens to cause the peatlands to release their stored-up carbon. This would result in lots of carbon dioxide and methane to be released into the atmosphere due to the increased peat decomposition. This would end up forming a positive feedback loop, and thus resulting in more and more carbon lost from the peat. The biochemical composition of the peat is an indicator of the degradation state of the peat as well as its ongoing vulnerability to decomposition. In this study, we developed an HPLC method for analyzing the carbohydrate composition of …

Explainability In Multivariate Time Series Classification Machine Learning Models, Emanuel Sanchez, Giovanni Battaglia

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Explainability within models is a crucial part of machine learning (ML) models because it promotes trust in the models by providing insights into how their predictions were determined. Our study applies the classification model XCM's explainability component in identifying the critical features leading to classification decisions on data collected while participants performed patient-handling tasks on manikins. Studies show that nurses sustain musculoskeletal injuries early in their career, attributable to some extent to posture adopted during patienthandling tasks. The ML models classify posture adopted during tasks as "good", "poor", or, in some cases, "neutral", where good posture minimizes the risk of …

Β-Decay Strength Function Of 53ni And 52co, Gabe A. Balk, A. Spyrou, M. K. Smith, W. Von Seeger

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

The p process is believed to be responsible for the formation of heavy proton-rich nuclei in the universe. This work deals with the decay of two nuclei that are part of the p process, ⁵³Ni and ⁵²Co. β+ decays for each isotope were recorded with the Summing NaI(Tl) detector at the National Superconducting Cyclotron Laboratory. A preliminary β-decay Intensity Function was derived with Total Absorption Spectroscopy. Total energy spectra, β-particle spectra, individual γ-energy spectra, and multiplicity spectra for the decay to levels in the child nucleus were modeled with GEANT4 based on information from the National Nuclear Data …

Classifying Patient Handling Techniques To Reduce Risk Of Musculoskeletal Injury In Nursing Students, Giovanni Battaglia, Emanuel Sanchez

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Nurses suffer musculoskeletal injuries at a higher proportion than the general population due to physical strain and poor posture during patient-handling tasks; studies show that back injuries occur at a rate of 28.9 cases per 10,000 registered nurses. The purpose of this study is to apply multivariate time series classifiers (MTSCs) to classify six patient-handling tasks and the quality of subject posture (good, poor, or neutral) during these tasks. Manikins weighing 44 lbs, 66 lbs, and 110 lbs simulated patients. In this proof-of-concept study the XCM, ResNet, and MiniRocket MTSCs were trained with data collected from four non-nursing students using …

Influence Of Nanoparticle Chemical Composition On In Situ Hydrogel Friction, Connor Bovia, Griffin Gleeson, Lauren Buckley, Brianna Couturier, Morgan Platz

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

The prevalence of osteoarthritis, alongside the associated pain and limited mobility, has resulted in numerous treatment strategies including the use of nanoparticles as drug-delivery systems in joints. However, the concerted mechanical-chemical effects from joint sliding in the presence of nanoparticle additives are not well understood. This work aims to understand chemically controlled sliding behavior of a soft material like cartilage in the presence of nanoparticles. To mimic cartilage-like features, well-studied polyacrylamide hydrogels were used as a model platform. Focusing on the interactions between nanoparticles that might be used for drug delivery and the hydrogel surfaces, in situ sliding tests were …

Role Of Intermolecular Interactions Between Nanoparticle Capping Ligands And Hydrogel Surfaces During Sliding, Lauren Buckley, Connor Bovia, Griffin Gleeson

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Modern treatments for osteoarthritis increasingly involve the use of nanoparticles as drugdelivery systems, but there is little known about the influence of nanoparticle chemical composition and surface chemistry between nanoparticles and soft materials in sliding contact. This work implements cartilage-mimicking polyacrylamide (PAM) hydrogels as a well-studied, fundamental platform. In situ (in a fluid environment) macroscale friction tests as a function of shear rate were conducted with a rheometer with a tribology adapter, controlling for contact pressure. Comparing different nanoparticle compositions, citrate capped metal (gold) nanoparticles exhibited a 50% increase in friction relative to water. With no difference in solution viscosity, …

Investigation Of Superconducting Properties In Ybco Using Proton Irradiation, Joseph Fogt, Hope Weeda, Trevor Harrison, Nolan Miles

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

We studied the effect of 600 keV proton irradiation on thin-film Cuprate superconductors. A 500 nm thick YBCO-1237 sample was subjected to a series of proton irradiations using Hope College’s particle accelerator, using a cryocooler to test the resistivity of the sample in between irradiations. We found that the superconducting critical temperature (T_C) drastically decreased from 90 K towards zero Kelvin, and the normal state resistivity increased accordingly. The rate of T_C reduction to resistivity increase will be used to discuss the fundamental property of the superconductor.

Exploring The Effectiveness Of Directing Groups For Rhodium-Catalyzed Decarbonylation, Bryan J. Forrest, Isabelle M. Klanseck, Jazmin E. Aguilar-Romero, Mary G. Kapitula

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Reactions involving carbon-carbon bond activation are of interest to develop methods of functionalizing molecules. Work in the Johnson Group utilizes rhodium-catalyzed decarbonylation to form new carbon-carbon bonds in pyridyl ketones, where the nitrogen on the pyridine ring acts as a directing group. Though this reaction is easily replicated and gives high yields, the need for a pyridine directing group limits the range of molecules that can be synthesized. To broaden the scope of this reaction, novel directing group compounds were synthesized through different routes and their efficacy in the decarbonylation reaction was explored.

Stream-Borne Floating Mismanaged Waste In Holland, Michigan: Focus On Foam, Sam J. Haakenson, Reina A. Duron

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Streams and storm drain systems link terrestrial roadside litter to rivers and lakes, which eventually supply floating debris to the global ocean. To better understand this linkage, we evaluated the kinds and quantity of floating mismanaged solid waste being transported in five streams within the Lake Macatawa watershed in the environs of Holland, Michigan. We deployed floating litter booms in the four smallest streams. These consisted of a rip-stop nylon sleeve encasing pool noodle floats strung on a wire rope. These were placed diagonally across the stream and anchored to fence posts set into the stream banks. In the largest …