Physical Sciences and Mathematics Commons^™

Effortless Mindfulness Toolkit: Easy Meditation Scripts To Begin Each Class., Brett Whysel

Open Educational Resources

The Effortless Mindfulness in the Classroom Toolkit is an open educational resource designed to create happier classrooms, boost student engagement, and foster a sense of community through brief, effective mindfulness exercises. This comprehensive toolkit provides educators with everything they need to seamlessly integrate mindfulness practices into their teaching routines, regardless of prior experience. The toolkit includes introductory slides, 15 ready-to-use meditation scripts, and accompanying audio recordings, covering a variety of mindfulness techniques such as focused breathing, body scans, and loving-kindness meditations. Each meditation is paired with a reflective prompt to deepen student engagement and reinforce the benefits of mindfulness. Additionally, …

Using Cache Files To Improve The Efficiency Of The Ucgretina Simulation Code, Blake Mcnulty

Physics and Astronomy Summer Fellows

UCGretina is a program that is used to simulate the Gretina gamma-ray tracking array used in experiments at the Facility for Rare Isotope Beams (FRIB) to collect gamma rays produced in reactions such as proton scattering. This is done by generating a simulation of the beam particles used and sending them into a simulated recreation that mimics the experimental environment. My job this summer was to tackle a major issue that the program had which is the speed or efficiency at which it ran. The main issue was that it would take days for certain simulation sets to run which …

Gender-Specific Mental Health Outcomes In Central America: A Natural Experiment, Thea Nagasuru

Computer Science Summer Fellows

While COVID lockdown measures have had varying effects on the mental health of different demographics, several bodies of research have noted their disparate effect on women. Why is women's mental health more negatively impacted by lockdown measures, and how much more are they impacted than men? How can we predict and mitigate these negative effects on women? This paper aims to contribute to answering those questions by comparing COVID stringency measures and their effect on the gap in depression rates between men and women in two neighboring countries: Nicaragua and Honduras.

Generating Channel Morphology Data Through Arcgis Pro, Ethan Manigbas

Symposium of Student Scholars

River cross-sections are often extracted using field surveys at measured intervals. This field-oriented approach allows for a tangible relationship between the data and its collector but at the expense of finance, time, labor, and potentially the environment. With the advancement of geospatial tools, such data can be found online, extracted, and even analyzed with contemporary Geographic Information Systems (GIS) in a completely virtual setting, transcending the need for fieldwork in select project topics. We tested this approach with the help of ArcGIS Pro software on the Vishnu Springs headwater stream located in the Western Illinois region of the Upper Mississippi …

The Classification Of Internet Memes Through Supervised And Unsupervised Machine Learning Algorithms, William H. Little

Symposium of Student Scholars

Memes, those captivating internet phenomena, effortlessly deliver online entertainment. By leveraging time-series data from Google Trends, we can vividly illustrate and dissect the dynamic trends in meme popularity. Previous studies have discerned four distinct post-peak popularity patterns— "smoothly decaying," "spikey decaying," "leveling off," and "long-term growth"—and elegantly modeled these using ordinary differential equations.

This research introduces a programmatic approach that harnesses both supervised and unsupervised machine learning algorithms. The dataset, now expanded to over 2000 elements, becomes the canvas for exploration. The K-means algorithm identifies clusters, which then serve as labels for the supervised SVC algorithm. The overarching goal is …

Exploring Neural Networks For Breast Cancer Tissue Classification, Stephen Jacobs, Md Abdullah Al Hafiz Khan

Symposium of Student Scholars

Last year, more than 240 thousand women in the United States were diagnosed with breast cancer. These patients are benefitting from decades of data that have been collected by cancer research institutions around the world. Tissue samples are analyzed and cataloged by these institutions, and several facilities like the University of Wisconsin are sharing this historical data to promote the advancement of new cancer treatments. Deep learning and neural network models are being built for this data to help doctors diagnose faster and design treatment options for patients by comparing their tissue samples with these historical datasets. We will use …

Examining Galaxy Bulge Regions With The Sloan Digital Sky Survey, Sarah E. Draves, Ariyeh Maller

Publications and Research

Nearly all of the ordinary matter in the universe is located in galaxies, which are made up stars, gas, dust, and black holes, and range in size from a few thousand to a few hundred thousand light years across. Galaxies come in different shapes, but many of them are spiral shaped, and some of those have a central bulge region that is distinct from the rest of the galactic disk. This project used a large data set of galaxies that had their bulge and disk components separated to see what correlations those fractions of each galaxy have with other galaxy …

Development Of A Fast-Neutron Source Localization System, Abdulsalam F. Al Mutairi

Student Research Symposium

Power generation by nuclear fusion is a continuing ambition that has been the focus of nuclear fusion research for nearly a hundred years. However, small-scale fusion reactors have further propulsion and neutron imaging applications that don’t require greater than breakeven efficiencies that a fusion energy source needs. Inertial Electrostatic Confinement (IEC) fusion devices have the potential for miniaturization, making them a strong candidate for such applications. Yet the contributions of different interactions within an IEC fusion device are still not fully understood. Imaging an IEC device and investigating each interaction's Neutron Production Rate (NPR) can enhance design efficiency. Neutron imaging …

Creating An Interdisciplinary Learning Community Between Two Cross-Departmental Courses, Krista Mcbride, Maggie Monteverde

Faculty Scholarship Symposium

An Interdisciplinary Learning Community (ILC) consisting of two cross-departmental general education courses has been created. Advantages to linking these courses will be presented. Further, the assignments and course material used to make this learning community successful will be presented. Challenges to developing and evaluating shared assignments for such linked classes will also be discussed. Finally, student feedback will be shown from students enrolled in these courses, which illustrate the positive effects blending these two classes had on the student’s learning experience. As an example, an ILC between a general physics course and a literature course will be introduced.

Bookworm: A Home Library Aid, Johnny Quach

Student Academic Conference

This project involved the design and development of a website intended to allow users to create a personal inventory of their purchased media with a primary focus on books. The goal of the project was to create a website that is both user-friendly, convenient, and both personally and professionally useful. The project began with an analysis of existing personal inventory websites and apps which identified many different aspects that are included in the finished website, as well as aspects that fell short. Utilizing Python and Flask, the design includes a number of easy-to-use features, such as the ability to create …

Reduction Of E-Waste With Multi Generational Clustering Of Obsolete Computers, Tyler Sather, Judah Nava

Student Academic Conference

The rise of E-waste is a growing concern as there are many toxic materials or toxic chemicals created with mishandling of the waste. Even in the school system we see obsolete computers systems laying around in closets collecting dust ready to be sent to the landfill. Our aim is to see if by clustering these old systems together we can give them new life thus reducing the need to add them to the worlds e-waste problem. Often these obsolete systems have lower powered CPUs which makes them less desirable for computing, if we cluster these systems together we can potentially …

Artificial Intelligence: Unveiling Potential, Navigating Challenges, Kavivarma Kandasamy

Student Academic Conference

Artificial intelligence (AI) has rapidly transformed from science fiction to a tangible reality, permeating various aspects of our lives. This report delves into the current state of AI, exploring its foundational concepts, technical advancements, and diverse applications. By analyzing academic literature, industry reports, and real-world case studies, the report sheds light on AI's potential to revolutionize fields like healthcare, scientific research, and entertainment. However, the report also acknowledges the ethical considerations and potential risks associated with advanced AI. By examining areas like safety concerns and responsible development practices, the report aims to foster a comprehensive understanding of AI's impact on …

Traversing Through A Graph, Andrew Selvig

Student Academic Conference

Software such as Google Maps or flight path routes utilize algorithms which find the most optimal path between two points or locations. These optimal routes are based on existing paths between nodes (locations). These kinds of software have made our lives much more convenient when we want to go somewhere. However, there are situations in which nodes and their paths have not been established. Nonetheless, there are two points that need to be connected with barriers in between. ;The purpose of this project is to tap into a way to create and traverse nodes between two points while refusing to …

Creating With Generative Ai, Gudrun Hall, Zeitun Abdinoor

Student Academic Conference

CustomGPT is a framework that utilizes advanced natural language processing techniques to generate customized versions of ChatGPT, adapting conversational agents to various contexts, domains, or individual preferences. This project demonstrates how ChatGPT serves as a powerful tool for creating chatbots with actionable features and dynamic mobile games. By showcasing its versatility in empowering users to innovate and drive creative content generation, we highlight ChatGPT's potential to shape the future of interactive mobile experiences.

Assigning A Dynamic Personality To Ai, Austin Jeral

Student Academic Conference

In today's world where artificial intelligence capabilities are advancing the potential for custom, and tailor made chatbots are similarly advancing. Such artificial intelligence chatbots could be particularly useful in many fields from the entertainment industry in the form of video game characters with dynamic dialog that stay true to their characters, to the world of psychology where such chatbots may be useful in helping budding psychologists train and be exposed to a vast array of different personalities that they may not be exposed to. Such artificial intelligence chatbots require however to have a believable and dynamic personality. Personality is a …

Water Quality Analysis Of Red River Valley's Municipal And Rural Water Supply: A Collaboration Between Local High School Science Classes And Geosciences At Msum, Abigail Von Bank, Reed Wilke, Ally Peters

Student Academic Conference

Declining water quality is an environmental issue that has been around for decades now. As pipes decay and waterways become more polluted, these pollutants are becoming more present in water. This region, unlike other places, does not have a problem with water scarcity, but water quality is increasingly problematic. We are focusing on the study, collection, and analysis of Fargo, Moorhead, and the Red River Valley's water quality throughout the community. This project is a collaboration with local high school students by engaging in modern environmental dilemmas all while creating an in-depth analysis of the water samples taken to see …

Effects Of Sensory Processing Impairments On Social Language Skills In Children With Autism Spectrum Disorder, Sara Stier

Student Academic Conference

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that is commonly characterized by impairments in social communication, language, and other cognitive skills, behavior and emotional challenges, sensory processing issues, and feeding challenges (ASHA, n.d.). Sensory processing refers to the process of the central nervous system receiving input from the senses and integrating this information to generate an appropriate behavioral response (Kojovic et al., 2019). A highly regulated sensory system is a vital piece that is needed in order to be able to communicate wants, needs, and ideas effectively and appropriately (Sensory Issues, n.d.). The main sensory systems that individuals with …

Subject Analysis Ex Machina: Developing A Subject Heading Recommendation Service For Jmu Libraries, Steven W. Holloway

Libraries

Results of a 2022 evaluation of ANNIF, open-source software designed to generate controlled vocabulary subject headings, using James Madison University Libraries resources.

Rsa Algorithm, Evalisbeth Garcia Diazbarriga

ATU Research Symposium

I will be presenting about the RSA method in cryptology which is the coding and decoding of messages. My research will focus on proving that the method works and how it is used to communicate secretly.

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.