Physical Sciences and Mathematics Commons^™

Grounding Ai Use In Learning Science: A Conversation With Steven Miller, Steven Miller, Lieven Demeester

CASTLe: Collection of Articles on Scholarship for Teaching and Learning

In this insightful interview, SMU Associate Provost (Teaching and Learning Innovation) Lieven Demeester and Professor Emeritus of Information Systems Steven Miller discuss the integration of artificial intelligence (AI) in teaching and learning, emphasising the importance of grounding AI use in the fundamentals of learning science. They explore the evolving role of education in the context of AI advancements, highlighting the need for educators to focus on the cognitive aspects of learning, such as goal-directed practice and feedback. They also address the potential of AI as a collaborative agent in group projects and the importance of maintaining accountability and quality control …

“Lyfting” The Possibilities And Opportunities For Sustainable And Safe Transportation To Access Medical Care, Saneywongse Le Mar

Goal 3: Good Health and Well-Being

No abstract provided.

Mathematization In Missions, Jonathan Pawley

Mathematics Senior Capstone

This paper explores the implications of mathematization and the field of Christian missions.

Skating For A Payday: Analyzing Nhl Player Performance In Contract Years, Mike Anthony Dibenedetto

Honors Projects in Economics

This research investigates the contract year phenomenon in the National Hockey League (NHL) by analyzing player performance during contract years rather than salary outcomes. Through an extensive literature review and empirical analysis, I examine whether NHL players exhibit statistically significant differences in performance during the final year of their contracts. Drawing from a broad range of studies on performance motivation, team systems, free agency, arbitration rights, and the role of advanced analytics, this paper synthesizes existing theories with new regression-based evidence.

Using a dataset of 2,717 player-season observations, I evaluate the effect of contract year status on key performance metrics, …

Impact Of Data Snooping On Deep Learning Models For Locating Vulnerabilities In Lifted Code, Gary Mccully, John Hastings, Shengjie Xu

Research & Publications

This study examines the impact of data snooping on neural networks used to detect vulnerabilities in lifted code, and builds on previous research that used word2vec and unidirectional and bidirectional transformer-based embeddings. The research specifically focuses on how model performance is affected when embedding models are trained with datasets, which include samples used for neural network training and validation. The results show that introducing data snooping did not significantly alter model performance, suggesting that data snooping had a minimal impact or that samples randomly dropped as part of the methodology contained hidden features critical to achieving optimal performance. In addition, …

Turning Farm Waste Into Energy: Pragmatic Approaches For Cleaner Midwestern American Communities, Rebecca Gaisie

Selected or Submitted Student Research Papers/Projects

Mismanagement of farm waste in the Midwest of the United States has resulted in significant methane emissions, water contamination, and public health concerns. The present manure management rules are still inconsistent, underfunded, and insufficient to motivate individuals to behave in a way that benefits the environment, despite increasing concerns about the environment. This policy study investigates anaerobic digestion as a potential means to convert waste into energy that could support rural and environmental development. Some of the problems with the federal and state legislation examined in this study under an EPI framework are a lack of incentives, inadequate technical support, …

Summer Air Temperature Comparisons Between The Field And Woods In An Angus Beef Cattle Silvopasture In The Virginia Coastal Plain, Amy E. Edwards

Virginia Journal of Science

The objective of this study was to compare corresponding temperature readings from loggers in the field and woods in a silvopasture for Angus beef cattle. Results show that temperatures during the hottest part of the day are greater in the field than in the woods. Summary statistics show higher maximum, upper quartile, and median temperatures at the field logger with all data analyzed, indicating the temperatures in the field are overall higher than the woods, except during temperature inversions at nighttime. This highlights the importance of providing cattle with shade to prevent heat exhaustion and thermal stress, especially when the …

Geology Of Nacogdoches, Texas : Geogulf 2025, R. Larell Nielson

Faculty Publications

Nacogdoches and East Texas are geologically interesting places to live and work. This field trip will visit the locations indicated on the maps below (Figures 1 and 2). Our location is on the Sabine Uplift and is east of the East Texas Salt Dome Basin (Figure 3 and 4). The first producing oil well in Texas was drilled near Woden by Taliaferro Barret in 1866 at a depth of 106 feet, producing about 10 barrels a day from the Sparta Sand (Figures 5 and 6). Stratigraphic units that we will see are: Sparta Sand, Weches Formation, Queen City Sand, Reklaw …

Some New Hardy-Type Inequalities With Negative Parameters On Time Scales, Martin Bohner, Irena Jadlovská, Ahmed I. Saied

Mathematics and Statistics Faculty Research & Creative Works

In this paper, we present new Hardy-type inequalities with negative parameters on a time scale T. The adopted approach draws upon the use of a reversed Hölder dynamic inequality, a chain rule, and the integration by parts rule on time scales. In the continuous case, our results contain integral inequalities due to Benaissa and Budak, while in the discrete case, the obtained inequalities are essentially new. Additionally, we demonstrate the applicability of our results in the quantum case.

The Importance Of Changing The High School Math Curriculum To Encourage More Students To Pursue A Degree In The Mathematics Field, Devin Cavicchi

Honors Projects in Mathematics and Economics

The mathematics field is a much larger field than many may think with mathematical analysis being involved in many jobs now, yet the need for more people to pursue mathematical careers and join the field is increasing daily. The focus of this thesis is to not only understand why some students are not inclined to pursue a degree in the mathematics field, but also to find methods to entice them to join the field. The literature researched demonstrated that experiences both in and out of the classroom have an impact on perception of the field, with the actual curriculum having …

Food Insecurity In Latin America: Climate Change, Industrial Agriculture, And The Case For Regenerative Solutions, Leila Hernandez-Webster

CISLA Senior Integrative Projects

This study critically analyzes the nexus between climate change and food insecurity in Latin America, with a particular focus on Costa Rica’s agricultural sector. It interrogates how industrial agricultural practices, deforestation, and trade liberalization have contributed to environmental degradation and heightened socio-economic vulnerabilities, especially among smallholder farmers. Through the lens of political ecology, this research situates these dynamics within the broader context of neoliberal and neo-extractivist development paradigms, which have systematically eroded food sovereignty. This study also evaluates agro-ecological responses, particularly agroforestry, as viable strategies for promoting ecological resilience and socio-economic equity. In doing so, it underscores the imperative of …

Tackling Crime: A Data-Driven Comparison Of Nfl Players With The General Population, Ryan Piersza

Honors Projects in Data Science

This research investigates the frequency of arrests among NFL players compared to the general population and analyze the types of crimes committed. A main theme from the literature is that previous groups of NFL players were found to be arrested at a rate lower than the general population. However, there has been no analysis on how the COVID-19 pandemic impacted the crime rates and types. Data obtained from the FBI’s Uniform Crime Report, The U.S Census Bureau, an NFL arrest database, and player statistics from Pro Football Reference is used for the analysis. The data is analyzed with a rate …

Access To Augustana’S Ascension Chapel: Who Gets To Worship?, Jaycee C. Bythewood

Race, Ethnicity, & Religion

This poster seeks to educate readers about the challenges disabled students would face in attending a service in Augustana College’s Ascension Chapel and how inaccessible this actually is using maps crafted by the author with hand-gathered data.

Examining The Effect Of Climate Change Denialism In American Christianity On International Climate Policy, Hope Mcbride

Selected Honors Theses

While 53% of Americans say anthropogenic climate change is happening, only 32% of American evangelical Protestants share that belief (Alper). Key reasons for this gap include the values and political affiliations held by religious Americans. Historically, there have been dissenting opinions on the role of Christianity in global warming, but ultimately data have demonstrated that the opinions of American Christians can influence major global political decisions, such as President Trump’s executive order pulling the United States out of the keystone Paris Agreement.

2025- The Twenty-Ninth Annual Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the 29th Annual Symposium of Student Scholars, held on April 16-18, 2025. Includes abstracts from the presentations and posters.

Changes In The Western Flank Of The North Atlantic Subtropical High Since 1140 Ce: Extremes, Drivers, And Hydroclimatic Patterns, Joshua C. Bregy, Justin T. Maxwell, Scott M. Robeson, Grant L. Harley, Valerie Trouet

Publications

Summer circulation and moisture patterns in the Southeast United States are controlled by the position of the North Atlantic subtropical high. In a warming climate, the subtropical high is projected to strengthen and expand west, but there remains uncertainty regarding its variability and linkages to natural drivers. Here, we use a tree-ring network across the Southeast United States to reconstruct the relative intensity of the pressure gradient across the subtropical high’s western flank over the past 870 years. Variations in the flank’s position and the pressure gradient have been a major driver of the hydroclimate—including creating a Southeast-Caribbean moisture dipole—since …

Using Physics Simulations To Find Targeting Strategies In Competitive Tenpin Bowling, S. S. M. Ji, S. Yang, W. Dominguez, C. G. Hooper, Cacey Stevens Bester

Physics & Astronomy Faculty Works

A new approach to finding the ideal location for a bowler to target on a bowling lane is demonstrated. To model bowling ball behavior, a system of six coupled differential equations is derived using Euler’s equations for a rotating rigid body. The numerical solution to the equations of motion shows the path of the ball on the lane, demonstrates the phases of ball motion, and is ultimately used to output a plot that displays the optimal initial conditions for the shot trajectory that leads to a strike for a typical competitive bowler. When the bowler is modeled to be imperfect …

Fibonacci Product Cordial Labeling Of Generalized Triangular Snake And Other Graphs, Anthony S. Arial, Soumya Bhoumik

SACAD: Scholarly Activities

A Fibonacci Product Cordial labeling is an assignment of Fibonacci numbers to the vertices of a graph in a way that determines edge labels based on the product of vertex labels, modulo 2. The labeling is valid if the number of edges labeled 0 and 1 differ by at most 1. If a graph allows such a labeling, it is called a Fibonacci Cordial graph. We explore various snake graphs and Helm graphs that can have this type of labeling.

Coding An Assignment Calculator Exclusively With Chatgpt, Andy Tincknell, Heather P. Vandyne, Lisa K. Bell

SACAD: Scholarly Activities

Large Language Models like ChatGPT are influencing higher education and society in broader ways, including the coding and programming of applications and websites (Silva et al., 2024). This poster will profile how Forsyth Library, with no coders on staff, used ChatGPT to program an Assignment Calculator LibGuide without human coding. It details the process, challenges, and outcomes while highlighting AI’s potential to enhance resources for academic success and considers its efficacy and ethical implications.

Doppler Free Laser Spectroscopy, Luis F. Ayala

SACAD: Scholarly Activities

Using Doppler Free laser spectroscopy we observed ground state and excited state Hyperfine structure of Rb atoms Isotopes 85 and 87.

Are The Vibrational Modes Of Molecules Quantized, Aniol Majoral Obradors

SACAD: Scholarly Activities

In electron scattering from N2 molecules we observe quantized vibrational levels of N2-. These vibrational levels are well suited for energy calibration when electron transmission of unknown molecules is performed.

A Thorn In The Side: Space-Efficient Storage Of Large Ribs​, Kale Link, Carson Cope, Paige Black, Israel Rivera-Molina, Amanda Peng

SACAD: Scholarly Activities

In 2022, Fort Hays State University’s Sternberg Museum of Natural History (FHSM) began a project to address the long-term preservation of a Late Miocene mammal collection. Many of the fossils from the collection were poorly consolidated, uncurated, and improperly stored, leaving them unstable and prone to significant degradation. As part of our housing overhaul, we worked to develop new methods of housing rib bones, which are often too large to fit in traditional archival boxes. Two versions of rib mounts were developed using wedges of Ethafoam (closed-cell polyethylene foam). This housing method provides a cost effective way to safely store …

Irreversible K-Threshold Number Ck(G) And Saturation Probability P[G] For Corona Product And Double Corona Product Graphs, Eric J. Moon, Soumya Bhoumik, Paul Flesher

SACAD: Scholarly Activities

We discuss the Irreversible k-conversion process for graphs, where a vertex becomes saturated and remains saturated indefinitely if at least k of its neighbors are saturated. We investigate sets S₀, which when initially saturated, lead to complete graph saturation. We are interested in the minimum |S₀| = C_k(G), called the k-threshold number. We consider the construction of the Corona Product Graphs (of C_n and K_p). Additionally, we extend our analysis by defining and exploring Double Corona Product Graphs (of C_n and K_p). Then we incorporate …

Climate Change Threatens Water Resources For Major Field Crops In The Serbian Danube River Basin By The Mid-21st Century, Jamshid Jalali, Nishan Bhattarai, Jillian Greene, Tao Liu, Oskar Marko, Mirjana Radulović, Molly Sears, Sean A. Woznicki

Open Access Publishing Support Funded Articles

Study region: Serbian Danube River Basin

Study focus: As climate change makes weather patterns more erratic, water supply for agriculture is becoming increasingly uncertain. This is concerning in the Serbian Danube River Basin, where crops are mainly rainfed and the growing season is becoming warmer and drier. Assessing the balance between future agricultural water demand and availability in a changing climate is critical to address agricultural water scarcity. To understand how changing climate will affect water availability during 2041–2070, we used the Soil and Water Assessment Tool+ hydrological model with field-scale crop rotations and irrigated extent data and forced with …

Heteroleptic Self-Assembly Of Platinum Metallocycles Based On Naphthalene-Diimide And Aromatic Dicarboxylate, Erendra Manandhar

Presentations - 2025

A core-substituted naphthalene-diimide, functionalized with pyridinyl phenyl and octyl groups, was synthesized via Suzuki coupling and self-assembled with Pt(II) and Pd(II) phosphane triflates. The resulting triangular metallocycle structures were characterized by various methods, showing solvent-dependent UV-Vis absorption and fluorescence, and self-assembled into nanostructures.

Ethical Work Cultures & Ai, Andrew Brei

Presentations - 2025

With the help of moral theories, several case studies, and insights from the world of behavioral ethics, my project aims to provide engineering professionals with the means to deal properly with moral issues that commonly arise in their chosen fields.

Particle-In-Cell Coupled With Monte-Carlo Collisions And External Circuitry For Low Temperature Plasma Reactors, Richard Lombardini

Presentations - 2025

Low-temperature plasma reactors used for chip fabrication involve complex physical processes that affect the quality of pattern transfer on the semiconductor substrate. Detailed investigations of the near-surface plasma environment require fully-kinetic approaches. We use a particle-in-cell/Monte Carlo collision (PIC/MCC) approach coupled with external circuitry to model realistic operating conditions capture the kinetic effects and measure ion energy and angle distribution functions. We build on the exascale-capable PIC/MCC code, WarpX, and leverage Python interfaces to couple external circuitry. In this talk, we will demonstrate this inexpensive, non-iterative coupled strategy using a two-dimensional Gaseous Electronics Conference reference cell.

First Study Of Neutrino Angle Reconstruction Using Quasielastic-Like Interactions In Microboone, The Microboone Collaboration, Brandon Eberly

USM Physics Program

We investigate the expected precision of the reconstructed neutrino direction using a νμ-argon quasielastic-like event topology with one muon and one proton in the final state and the reconstruction capabilities of the MicroBooNE liquid argon time projection chamber. This direction is of importance in the context of DUNE sub-GeV atmospheric oscillation studies. MicroBooNE allows for a data-driven quantification of this resolution by investigating the deviation of the reconstructed muon-proton system orientation with respect to the well-known direction of neutrinos originating from the Booster Neutrino Beam with an exposure of 1.3 × 1021 protons on target. Using simulation studies, we derive …

Repositioning The Game: Traditional Positions Vs Tracking-Based Archetypes In Nba Performance Models, Jacob Floyd

Senior Theses

Driven by the rise of advanced analytics and player tracking technologies, the NBA has transitioned away from traditional positional roles and toward more fluid player archetypes. This investigation uses principal component analysis and k-means clustering to group players based on season-long tracking data, creating new pseudo-positions that more accurately reflect modern playing styles. Predictive models were then built using both the classic position system and the newly generated clusters to forecast player scoring performance. Across every model comparison, both in terms of fit and predictive accuracy, the cluster-based system significantly outperformed the traditional position-based model. These results reinforce the idea …

Exploring 7-Bbh As An Alternative To 9-Bbn, Katelyn P. Griffin

ASPIRE 2025

9-BBN is an important compound in the synthesis of terminal alcohols by providing high regioselectivity for the anti-Markovnikov position. It is also used as a reducing agent for ketones and aldehydes and various alkyl ligation reactions. The processes involved in its synthesis and 9-BBN’s relative low solubility in most solvents renders it expensive and difficult to transport. We have made 2-isopropyl-5-methyl-7-borabicyclo[2.2.1]heptane (7-BBH) from relatively inexpensive precursor γ-terpinene and borane dimethyl sulfide complex. Characterization data and preliminary results from the use of 7-BBH for hydroboration and reduction will be discussed.