Physical Sciences and Mathematics Commons^™

Environmental And Social Strategies, And Sustainable Performance: The Mediating Role Of Management Control Systems, Zheng Siqi

Student Works (2020-2029)

This study investigates how environmental and social (E&S) strategies influence enterprise sustainability performance (SP), with a focus on the mediating roles of Environmental Management Control Systems (EMCS) and Social Management Control Systems (SMCS). Anchored in the Resource-Based View (RBV), the study conceptualizes E&S strategies, EMCS, and SMCS as internal organizational resources that support the implementation of sustainability-related strategic intent. Although Chinese manufacturing enterprises face increasing regulatory and societal expectations regarding environmental and social responsibilities, prior research has primarily examined the direct association between sustainability strategies and performance outcomes or has treated sustainability control systems as aggregated constructs, providing comparatively less …

Molecular Detection Of Genes Encoded For Biofilm Formation In Bacteria Isolated From The Oral Cavity Of Patients, Tebarek Al-Taei, Ali A. Al-Hisnawi

Karbala International Journal of Modern Science

Background: A biofilm is a collection of the microbial cells attached to the surface that are encased in a matrix of extracellular polymers. Biofilm formation creates a physical and chemical barrier that prevents antibiotics from reaching bacterial cells, resulting in treatment failure and reinfection. The present study aimed to investigate the biofilm formation in bacteria isolated from the oral cavity of patients.

Methods: In this study, 150 bacterial isolates were obtained from tooth and gum surface swabs of male and female patients of different ages who visited specialized centers and dental clinics in Babylon City after they were clinically diagnosed …

A Virtual Community Math Circle, Skona Brittain, Sayonita Ghosh Hajra, Steve Heller, Daniel Hodgins, Peter Petto, Gabriella Pinter, Lauren Rose, A. Gwinn Royal, Asmita Sodhi

Journal of Math Circles

The Julia Robinson Mathematics Festival (JRMF) Community Math Circle is free, volunteer-run, and online. We collaborate with JRMF and use their activities in our events. Started during the pandemic, the Community Math Circle continues to thrive. We have about 40 participants attending every month, typically kids aged 6 to 13, teachers, facilitators, and other adults. This article describes how our event is organized, planned, and executed, and how we train facilitators. We will also offer reflections on our successes and challenges.

Whose Water Is It, Anyway? Federalism And Texas V. New Mexico, Bryon Louk

Arkansas Law Review

When a problem erupts between two states, interstate compacts provide a solution without the need for a nationwide decision. Rather than waiting for federal consensus, the states can, with Congressional approval, compact to solve their problems. However, the Supreme Court’s decision in Texas v. New Mexico (Texas II) has threatened interstate compacts, ignored principles of federalism, and overextended its original jurisdiction. It has allowed the United States to force Texas and New Mexico to keep fighting over a compact, even when the states have resolved their issues on their own.

First, this Comment will describe the legal background of compact …

Metal-Free Nitrogen-Enriched Graphitic Carbon Nitride Architectures For Advanced Supercapacitor Energy Storage: Design, Synthesis, And Electrochemical Performance Optimization, Loujain Gamal Mohamed

Theses and Dissertations

Abstract

This thesis addresses the urgent global requirement for efficient energy storage materials by developing and characterizing advanced graphitic carbon nitride (g-C3N4)-based electrode materials for supercapacitors. A facile, low-cost thermal polymerization method produces 2D nitrogen-rich GCN nanosheets exhibiting excellent electrochemical stability and wide voltage windows, enabling symmetric devices with 19.33 Wh/kg energy density and remarkable cycling stability over 21,000 cycles. To overcome intrinsic limitations of pristine GCN, a 3D/2D metal free composite with bio-derived carbon (Bio-Cx) is synthesized, delivering high capacitance, wide potential windows, and ultrahigh energy density of 53.72 Wh/kg in asymmetric configurations paired with mesoporous nitrogen-doped carbon (MPNDC). …

Re: Conditional Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Potential Logan, Montana, Borrow Source Site Environmental Assessment Checklist, Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Approval Letter For The Draft Final 2026 Butte Priority Soils Operable Unit (Bpsou) Mcdermott Basin Creek Water Treatment Plant Subsurface Fill Borrow Submittal #1, Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

On Cartan’S Examples Of Isoparametric Hypersurfaces And Their Focal Submanifolds, Thomas E. Cecil, Patrick J. Ryan

Mathematics and Computer Science Department Faculty Scholarship

This paper is a survey of Cartan’s examples of isoparametric hypersurfaces in spheres and their focal submanifolds that were described in his fundamental work on the subject, which appeared in four papers [2]–[5] published during the period 1938–1940.

Pediatric Inflammatory Bowel Disease Tissue Classification From Pathology Slide Images: Detecting Phenotypes Using Computer Vision, Chloe Martin-King, Ali Nael, Louis Ehwerhemuepha, Blake Calvo, Quinn Gates, Jamie Janchoi, Elisa Ornelas, Melissa Perez, Andrea Venderby, John Miklavcic, Peter Chang, Aaron Sassoon, Brian Rubio, Ghislaine Barrigan, Kenneth Grant

Food Science Faculty Articles and Research

Background and Aims

Methods

Results …

Constraining The Impact Threat From Small Bodies In Near Earth And Cislunar Space, Skylar G. Butler, Jarrett Dieterle, Henry Sanders, Aiden Kelleher

Student Research Symposium (SRS)

Understanding and mitigating the impact threat posed by small bodies in near-Earth and cislunar space is vital for planetary defense, spacecraft safety, and sustainable space operations. This research integrates dynamical evolution modeling, synthetic observations, and reprocessed infrared data to assess the origins and potential hazards of debris from young asteroid families. By modeling the trajectories and orbital evolution of fragments from the Datura, Emilkowalski, 1992 YC2, Lucascavin (Nesvorný & Vokrouhlický, 2006), and Veritas (Nesvorný et al., 2003) families, we constrain how these sources contribute to near-Earth debris populations. Reprocessing Infrared Astronomical Satellite (IRAS) data with Fourier-filtering techniques reveals fine-structure variations …

Solar Wind–Magnetosphere Coupling During The September 2025 Cme: Multi-Spacecraft Analysis Using Mms And Omni Data, Skylar G. Butler, Margret Stanley

Student Research Symposium (SRS)

A sequence of two coronal mass ejections (CMEs) impacted Earth in early September 2025, producing consecutive geomagnetic disturbances. The first CME, launched on 31 August 2025 and observed as a halo in SOHO/LASCO imagery, reached Earth on 1 September (~20:45 UTC), generating a clear interplanetary shock. OMNI 1-min solar-wind data show a sudden rise in |B| from ≈ 5 nT to > 25 nT, proton density and velocity increases (≈ 350 → 600 km s⁻¹), and a southward IMF Bz interval that drove enhanced coupling. The Kyoto Dst index recorded a sudden storm commencement followed by a minimum of −75 nT …

How Hidden Companions Skew Stellar Ages: A Binary-Inclusive Analysis Of Ngc 2168, Skylar G. Butler

Student Research Symposium (SRS)

We expand upon our previous analysis of NGC 2168 (M35), which investigated the precision of isochrone-based age determination for individual main-sequence stars using photometric modeling. Building on that earlier framework, we now assess how inferred stellar ages change when each object is modeled under the assumption that it may possess an unresolved binary companion. Using post burn in posterior samples from the same dataset, we computed the mean Stage 3 ages for more than 3,000 cluster members with binaries turned on, allowing a direct comparison to our prior results with binaries turned off. The resulting age distribution peaks near 2.1 …

Modeling The Secondary Catastrophic Disruption Of The Veritas Family, Jarrett Dieterle, Skylar G. Butler, Aiden Kelleher

Student Research Symposium (SRS)

The Veritas asteroid family, located in the outer main belt, is believed to have formed from the catastrophic breakup of a parent body approximately 8.3 million years ago (e.g., Nesvorný et al., 2003). Larger fragments remained in the main belt, while smaller particles evolved inward under radiation forces, forming a toroidal dust structure observable in infrared data as paired bands. Previous studies (e.g., Dermott et al., 2001) have shown that these bands can be linked to their parent families and modeled from their initial disruptions. We propose that the 10° dust bands associated with Veritas may record evidence of a …

Building The Erau Solar Telescope: Advancing Heliophysics Research And Education Through Optical Innovation, Erin Abraham, Sarah Hoover, Skylar G. Butler, Margret Stanley, Gwynlyn Hannah

Student Research Symposium (SRS)

The new Embry-Riddle Aeronautical University (ERAU) Solar Telescope represents a campus-wide collaboration to design and install a high-resolution solar observatory. The ERAU solar telescope, aiming for first light by Summer 2026, will integrate research-grade instrumentation, student training opportunities, and expand public engagement with the ERAU observatory. The telescope is housed within a 2.3-meter refurbished dome structure whose electrical and structural systems are being upgraded to support automated dome rotation and environmental stabilization. The optical design features a multi-element lens and mirror assembly optimized for a 1° field of view. The optical assembly includes a downport centered in the dome that …

Development Of An Artificial Immune System Based Intruder Detection Algorithm For Comparison With A Novel Intruder Detection Strategy., Jaden Caradine

Student Research Symposium (SRS)

"This project aims to develop an Artificial Immune System inspired intruder detection system based on current state-of-the-art strategies. Traditional intruder detection systems are not equipped to handle the evolving landscape of cyber security. Signature based detection systems require a database of known signatures and traditional anomaly detection systems are plagued with false positives. By contrast, Artificial Immune Systems can respond to threats never encountered. They are adaptive, proactive, and resilient to interference. This makes them ideal for determining when a system is behaving abnormally. Researchers are developing a novel intruder detection system, but they need a baseline to compare it …

Project G.L.E.N. (Enhancing Tornado Research: A Foundation For Transistioning The Enhanced Fujita Scale), Alexis Peshehonoff, Makaylei Huggins, Bernard Muich, Nicholas Fazzolari, Liam John, Harris Meyer, Jakob Graudons, Nicholas Krasznavolgyi, Stephen Syvertson, Aditya Bhattacharya, Kai Hong, Augustine Balish, Zachary Ort, Erin Rhoden

Student Research Symposium (SRS)

"Project G.L.E.N., formally known as “Enhancing Tornado Research: A Case for Transitioning the Enhanced Fujita Scale,” is an ongoing initiative aimed at advancing tornado research through the development and deployment of an unmanned tornado probe. Through the Gale Level Environmental Navigator (G.L.E.N.) probe, a remote-controlled unit equipped with specialized meteorological sensors and innovative design features, we aim to collect real-time, onsite data from within tornadoes. This approach allows for direct measurement of internal atmospheric conditions such as wind speeds, pressure fluctuations, temperature, humidity, and other storm dynamics while removing human risk from tornado interception, significantly enhancing the safety of storm …

Emulating Camera Parameters For A Digital Twin Lunar Terrain Simulation, Samuil Nikolov

Student Research Symposium (SRS)

Digital twin simulations play an integral role in the design, validation and implementation of a plethora of systems in any industry - including aerospace. EagleCam 2 presents a great technical challenge, where we need to evaluate how our systems will do data acquisition best - image capturing in particular. In order to assist with the design and validation of our systems, a digital twin that emulates the Lunar environment as we expect it to be during the lifecycle of the mission is a crucial component. Such digital twin system allows us to simulate all the parameters that are considered variable …

Contrasting Coastal Dune Environments In Chile, Aurora Christianson

Student Research Symposium (SRS)

Emerging coastalization and urbanization threats to the prehistoric Concón Dunes and Humedal de Mantagua coastal area of Chile is being investigated by researchers via uncrewed aircraft systems (UAS). Four UAS were utilized: Anzu Raptor T, DJI Mavic 3E, DJI Mavic 3M, and DJI Air 3 to collect various images of the coastal dunes. Multispectral and RGB cameras gather images by photogrammetry to create orthomosaics and monitor vegetation indexes in Pix4Dmapper. Thermal cameras provided images in rainbow, white hot infrared, and black hot infrared schemes to monitor wildlife and vegetation. The normalized difference vegetation index (NDVI) was calculated to visualize overall …

Investigation Of Biofilm Formation And Osmotic Stress Tolerance Of Nonmotile E. Coli Mg1655 In Simulated Microgravity, Tyler Jenkins

Student Research Symposium (SRS)

Simulated microgravity presents multiple physiological stressors for astronauts, including bone demineralization, muscle loss, and weakening of the immune system (Chavez et al., 2024). Bacteria serve as viable model organisms to study physiological changes because of their abundance in the human digestive system and skin. Motility in bacteria plays a significant role in cell survival, but few studies have been conducted on microgravity’s effect on motility phenotypes. While motile strains like K12 have been studied extensively under microgravity conditions (Topolski et al., 2022; Chavez et al., 2024), the effects of simulated microgravity on non-motile strains are largely unknown. To better understand …

Characterizing The Solar Sources Of Periodic Mesoscale Solar Wind Structures Responsible For Radiation Belt Particle Loss: Results And Implications For Space Weather Forecasting, Grace Gratton

Student Research Symposium (SRS)

It is now well-established that the ambient solar wind is dynamic and highly structured at mesoscales – scales larger than kinetic, but smaller than CMEs/SIRs. These structures are often created at the Sun and survive to 1 AU, where they form the ground-state of space weather as they continually buffet Earth's magnetosphere, the moon, and Mars. Two primary ways that mesoscale structures pose significant risks to spacecraft and astronauts are through driving radiation belt depletion, and amplifying the hazards of CMEs and SIRs through upstream solar wind preconditioning. Characterizing the solar origins and solar wind properties of geoeffective mesoscale structures …

Paschen Curves Of Glow Discharges In Different Gas Compositions, Seth Gerow

Student Research Symposium (SRS)

Our work focuses on low current, low temperature plasma discharges: glow and corona. Townsend theory predicts that the critical voltage to initiate a gas breakdown (i.e., a "spark") between two parallel plate electrodes is dependent on the product of the pressure and distance; consequently, variations in either parameter which results in the same product, pd, do not affect the breakdown voltage. In this work, we present Paschen curves of narrow-to-wide electrode glow discharges in two gas mediums, argon and air. These curves show a deviation from theoretical predictions, such that changes in electrode configuration create a uniform shift of the …

Leveraging Redshift Probabilities And Machine Learning Classification To Identify Catastrophic Outlier Photometric Redshift Estimates, J. Yoo, C. Gyure, V. Agarwal, Jack E. Singal, G. Silverman

Physics Faculty Publications

We present results of using a basic binary classification neural network model to identify likely catastrophic outlier (CO) photometric redshift estimates of individual galaxies. The classification is based on individual galaxy redshift probability distributions generated by a multiclass classifier neural network and a support vector machine. Importantly, the redshift probability distributions used as input to the binary classifier can be used for photometric redshift estimates generated by a different method. We find that a simple implementation of this classification can identify a very large fraction of galaxies with CO photometric redshift estimates while erroneously categorizing only a much smaller, in …

Kinematic Anisotropies In Pta Observations: Analytical Toolkit, Maximilian Blümke, Kai Schmitz, Tobias Schröder, Deepali Agarwal, Joseph D. Romano

Physics & Astronomy Faculty Publications

The reported evidence for an isotropic gravitational-wave background (GWB) from pulsar timing array (PTA) collaborations has motivated searches for extrinsic and intrinsic anisotropies. Kinematic anisotropies may arise as a consequence of a boosted observer moving with respect to the frame in which the GWB appears isotropic. In this work, we present an analytical toolbox to describe the effects of kinematic anisotropies on the overlap reduction function. Our analytical results differ from previous findings at the quadrupole order and are detailed in three appendices. For the first time, we also derive the corresponding auto-correlation using two approaches, taking the pulsar distances …

The Butterfly Effect In Economics: Exploring Chaos With A Simple Financial Model, Sandy Hs Herho

CODEE Journal

Wild swings in financial markets need not result from external shocks like earthquakes or wars—they can emerge from deterministic chaos. This article introduces kalimusada, an open-source Python library that lets students and instructors explore this phenomenon through a simple three- equation model of financial dynamics. The model couples interest rates, investment, and prices through nonlinear feedback, generating bounded but unpredictable oscillations characteristic of chaos. Tiny differences in starting conditions—smaller than any measurement could detect—grow exponentially until two initially identical economies follow completely different paths. The library provides ready-to-use tools for visualizing this “butterfly effect” in economics, computing divergence metrics, and …

Assessing The Threat Of Southern Pine Beetle To Pitch Pine In Acadia National Park, Caroline R. Kanaskie, Mark J. Ducey, Jeff R. Garnas

Faculty Publications

Many of the mountain summits of Acadia National Park (ACAD) are dominated by Pinus rigida (Pitch Pine). The ACAD Pitch Pine population is particularly valuable due to its position at the northernmost edge of the species’ range, its association with unique animal and plant communities, and its contribution to the aesthetics of the park. Pitch Pine is host to Dendroctonus frontalis (Southern Pine Beetle [SPB]). As the name suggests, SPB is native to the southeastern US, and can kill large numbers of healthy pines via mass-attack. With warming winters, SPB can establish and persist further north than ever before, presenting …

Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) 2026 Revised Draft Final Backfill And Cover Soil Quality Assurance Project Plan (Qapp) (Dated January 5, 2026), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

An Ai Approach To Lunar Phase Detection: Enhancing The Identification Of The New Crescent With Astronomical Data Integration, Murad Al-Rajab, Samia Loucif, Raed Abu Zitar, Mubarak Gwaza Abdu-Aguye

All Works

Introduction: The observation of the lunar crescent is significant in astronomy, cultural traditions, and religious lunar calendar determinations. However, earth-based imaging that captures all lunar phases, particularly the new crescent across multiple months, remains limited. This study explores the feasibility of using artificial intelligence (AI) techniques to detect and analyze the birth of the new lunar crescent using space-borne imagery from NASA’s Lunar Reconnaissance Orbiter (LRO), spanning over 13 years. Methods: This study evaluates both deep learning and traditional machine learning approaches for new crescent detection. Convolutional Neural Networks (CNN), Random Forests (RF), and Support Vector Machines (SVM) were applied …

Finding Research Datasets And Evaluating Data Quality, Ibis Anette Moreno-Lozano Phd.

Day Family Research Lab Workshop Series

No abstract provided.

2026 February 12 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Activating Learning With Ai: Early Evidence From Undergraduate Sports Management Courses, Sherry Andre

Faculty and Staff Publications & Presentations

Presented research at the GSBA Conference on integrating AI into undergraduate sport management courses to enhance student engagement, critical thinking, and applied learning. The session shared early evidence on how AI can support skill development, improve classroom experiences, and better prepare students for careers in the evolving sport industry.