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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 Feb 2026

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 …

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Emulating Camera Parameters For A Digital Twin Lunar Terrain Simulation, Samuil Nikolov Feb 2026

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 …

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Contrasting Coastal Dune Environments In Chile, Aurora Christianson Feb 2026

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 …

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Investigation Of Biofilm Formation And Osmotic Stress Tolerance Of Nonmotile E. Coli Mg1655 In Simulated Microgravity, Tyler Jenkins Feb 2026

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 …

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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 Feb 2026

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 …

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Paschen Curves Of Glow Discharges In Different Gas Compositions, Seth Gerow Feb 2026

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 …

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Assessing The Threat Of Southern Pine Beetle To Pitch Pine In Acadia National Park, Caroline R. Kanaskie, Mark J. Ducey, Jeff R. Garnas Feb 2026

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 …

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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 Feb 2026

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 …

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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 Feb 2026

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.

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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 Feb 2026

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 …

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The Butterfly Effect In Economics: Exploring Chaos With A Simple Financial Model, Sandy Hs Herho Feb 2026

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 …

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Kinematic Anisotropies In Pta Observations: Analytical Toolkit, Maximilian Blümke, Kai Schmitz, Tobias Schröder, Deepali Agarwal, Joseph D. Romano Feb 2026

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 …

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Finding Research Datasets And Evaluating Data Quality, Ibis Anette Moreno-Lozano Phd. Feb 2026

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

Day Family Research Lab Workshop Series

No abstract provided.

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

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

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

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Charge Acceleration Without Radiation, Yakir Aharonov, D. Collins, S. Popescu Feb 2026

Charge Acceleration Without Radiation, Yakir Aharonov, D. Collins, S. Popescu

Mathematics, Physics, and Computer Science Faculty Articles and Research

The existence of electromagnetic radiation—radio waves, microwaves, light, X-rays, and so on—is one of the most important physical phenomena, and our ability to manipulate them is one of the most significant technological achievement of humankind. Underlying this ability is our understanding of how radiation is produced: Whenever an electric charge is accelerated, it radiates. Or, at least, this is how it has been hitherto universally thought. Here, we prove that quantum mechanically electric charges can be accelerated without radiating. The physical setup leading to this behavior is relatively simple (once one knows what to do), but its reasons are deep: …

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Systematic Synthesis Of Crispr/Cas Applications For Enhancing Salt Tolerance In Crops: A Decade Of Progress And Challenges, Xindi Sun, Fusheng Wu, Zhuanzhuan Ma, Guohao Liang, Shumei Chen, Xutong Hu, Shugao Fan, Ying Zhao Feb 2026

Systematic Synthesis Of Crispr/Cas Applications For Enhancing Salt Tolerance In Crops: A Decade Of Progress And Challenges, Xindi Sun, Fusheng Wu, Zhuanzhuan Ma, Guohao Liang, Shumei Chen, Xutong Hu, Shugao Fan, Ying Zhao

School of Mathematical & Statistical Sciences Faculty Publications

Soil salinity is a major constraint on global crop productivity, driving the need for salt-tolerant varieties. While CRISPR-Cas genome editing offers targeted solutions for trait improvement, significant biological and technical bottlenecks limit its application in conferring salt stress resilience. This systematic summarizes findings from 83 peer-reviewed studies (2015–2024) employing CRISPR/Cas technologies to improve salt tolerance in five major crops (rice, wheat, maize, sorghum, barley). Our systematic review reveals that early single-gene edits achieved modest gains (30–50% Na⁺ exclusion) but often showed limited yield gains in field settings, potentially due to compensatory regulation and environmental variation. The literature suggests that multiplex …

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A Mechanistic Model Of The Wash Shuffle And Monte Carlo Exploration Of Its Impact On Card Shuffling In Texas Hold’Em, Michael A. Alexeev, Peter B. Chi Feb 2026

A Mechanistic Model Of The Wash Shuffle And Monte Carlo Exploration Of Its Impact On Card Shuffling In Texas Hold’Em, Michael A. Alexeev, Peter B. Chi

UNLV Gaming Research & Review Journal

In casino games using a standard deck of cards, a wash shuffle is sometimes performed prior to the rest of the card shuffling procedure. Unlike other methods of shuffling, the wash shuffle has not yet been well studied. To this end, we first develop a mechanistic model of the wash shuffle based on our observation of how cards tend to move when a wash shuffle is being performed. Then, we use this model to simulate the card shuffling procedure used in casino poker rooms, and explore the resulting impact on where the cards are dealt in the context of Texas …

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Effective Wordle Heuristics, Ronald I. Greenberg Feb 2026

Effective Wordle Heuristics, Ronald I. Greenberg

Computer Science: Faculty Publications and Other Works

While previous researchers have performed an exhaustive search to determine an optimal Wordle strategy, that computation is very time consuming and produced a strategy using words that are unfamiliar to most people. With Wordle solutions being gradually eliminated (with a new puzzle each day and no reuse), an improved strategy could be generated each day, but the computation time makes a daily exhaustive search impractical. This paper shows that simple heuristics allow for fast generation of effective strategies and that little is lost by guessing only words that are possible solution words rather than more obscure words.

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Who Lets Ai Take Over? Cross-National Variation In Willingness To Delegate Socially Important Roles To Artificial Intelligence, Ala Yankouskaya, Mohamed Basel Almourad, Magnus Liebherr, Fahad Beyahi, Guandong Xu, Raian Ali Feb 2026

Who Lets Ai Take Over? Cross-National Variation In Willingness To Delegate Socially Important Roles To Artificial Intelligence, Ala Yankouskaya, Mohamed Basel Almourad, Magnus Liebherr, Fahad Beyahi, Guandong Xu, Raian Ali

All Works

Delegating socially significant roles to artificial intelligence (AI) is an emerging reality, yet little is known about how publics evaluate this transfer of responsibility across contexts and countries. This study applied a structural model to a large cross-national dataset (30,994 individuals in 35 countries) to test how cognitive appraisals, affective dispositions, and contextual factors jointly shape willingness to delegate socially important roles of companionship, mental health advisor, doctor and teacher to children to AI. The results revealed a robust hierarchy of delegation preferences, with companionship most frequently entrusted to AI, followed by mental-health advisor, teacher, and doctor. Cognitive appraisals emerged …

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Emerging Threats In Ai: A Detailed Review Of Misuses And Risks Across Modern Ai Technologies, Niyat Seghid, Farkhund Iqbal, Khalifa Al-Room, Áine Macdermott Feb 2026

Emerging Threats In Ai: A Detailed Review Of Misuses And Risks Across Modern Ai Technologies, Niyat Seghid, Farkhund Iqbal, Khalifa Al-Room, Áine Macdermott

All Works

The swift evolution of artificial intelligence (AI) has enabled unprecedented capabilities across domains, while simultaneously introducing critical vulnerabilities that can be maliciously exploited or cause unintended harm. Although multiple initiatives aim to govern AI-related risks, a comprehensive and systematic understanding of how AI systems are actively misused in practice remains limited. This paper presents a systematic review of AI misuse across modern AI technologies. We analyze documented incidents, attack mechanisms, and emerging threat vectors, drawing from existing AI risk repositories, prior taxonomies, and empirical case reports. These sources are synthesized into a unified analytical framework that categorizes AI misuse across …

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Activating Learning With Ai: Early Evidence From Undergraduate Sports Management Courses, Sherry Andre Feb 2026

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.

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The Future Of West African Cacao Farming, Kathryn Lesniewski Feb 2026

The Future Of West African Cacao Farming, Kathryn Lesniewski

CAFE Symposium 2026

This poster covers the detrimental impact climate change has had on the West African cacao farming industry. It also covers long and short term solutions to climate change, and how the global chocolate market has been impacted by climate change.

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Improving Ground Cover Crop Fractional Vegetation Mapping Via Causality-Based Deep Representation Learning, Atif Latif, Masoumeh Hashemi, Matt Yost, Somayeh Esmaeili, Xiaojun Qi Feb 2026

Improving Ground Cover Crop Fractional Vegetation Mapping Via Causality-Based Deep Representation Learning, Atif Latif, Masoumeh Hashemi, Matt Yost, Somayeh Esmaeili, Xiaojun Qi

Computer Science Student Research

Semantic segmentation and deep learning methods have rarely been applied to fractional vegetation cover (FVC) segmentation tasks due to the lack of publicly available datasets for training deep learning models. FVC is a key indicator for assessing vegetation distribution, crop density, and crop responses to water availability and fertilizer application, yet conventional field-based measurement methods are time consuming, costly, labor intensive, and may lack the accuracy required for critical applications such as drought stress evaluation and water productivity. In this paper, we introduced causality-based deep learning techniques for FVC segmentation on a publicly available RGB dataset that consists of four …

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An Autonomous Robotic System For Object Retrieval And Delivery: Enhancing Independence For Users Living With Disability And Older Adults, Jincheng Li, Chenghao Lin, Amna Mazen, Youssef A. Bazzi Feb 2026

An Autonomous Robotic System For Object Retrieval And Delivery: Enhancing Independence For Users Living With Disability And Older Adults, Jincheng Li, Chenghao Lin, Amna Mazen, Youssef A. Bazzi

Michigan Tech Publications

As the global population ages, there is a growing need for assistive technologies to help older adults maintain their independence. This work presents a cost-effective autonomous socially assistive robot designed for object retrieval and delivery, enhancing accessibility in home environments. The system is built on the Robot Operating System (ROS) framework and integrates three key components: the Pioneer P3-DX mobile robot for autonomous navigation, the ReactorX-200 robotic arm for pick-and-place operations, and the Kinect v2 RGB-D camera for object detection and localization. Users interact with the robot through natural language processing by issuing voice commands to retrieve various objects. Microsoft …

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Nonenzymatic Glucose Biosensor Based On Selective Reduction Of Silver Ions, Maryam Sarlak, Shankar B. Rananavare Feb 2026

Nonenzymatic Glucose Biosensor Based On Selective Reduction Of Silver Ions, Maryam Sarlak, Shankar B. Rananavare

Chemistry Faculty Publications and Presentations

A nonenzymatic conductivity-based glucose biosensor, reported here, designed for potential noninvasive measurement in accessible biofluids such as saliva, sweat, and tears. The sensor exploits a classic Tollens’ silvering process that deposits metallic silver on a sensitized surface via a quantitative, selective reduction of silver ions by glucose. Of the two surface sensitization methods used, the self-assembled bifunctional thiol/silane surfactant yields a more stable and sensitive sensor than tin(II) chloride. The conductometric sensor consists of two spiral interdigitated silver electrodes fabricated by lithography and wet etching. The sensor impedance changes after selective metallic silver deposition between the electrodes. The sensor exhibits …

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Final Repository Siting Study (Rss) Detailed Evaluation And Recommendations Report, Atlantic Richfield Company, Butte Silver Bow Feb 2026

Final Repository Siting Study (Rss) Detailed Evaluation And Recommendations Report, Atlantic Richfield Company, Butte Silver Bow

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Final 2022 Unreclaimed Sites Sampling: Ur-28 Site Evaluation Summary Report, Pioneer Technical Services, Inc. Feb 2026

Final 2022 Unreclaimed Sites Sampling: Ur-28 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Exploring The Efficacy Of Storytelling In Education About Climate Change, Nina Adjanin, Srijana Katuwal, Heidi Sevestre, Gordon Brooks Feb 2026

Exploring The Efficacy Of Storytelling In Education About Climate Change, Nina Adjanin, Srijana Katuwal, Heidi Sevestre, Gordon Brooks

Mid-Western Educational Researcher

From bedtime tales to digital narratives, stories wield unparalleled influence, shaping perceptions, and fostering empathy. Through mediums like social media and digital platforms, storytelling becomes a tool for advocacy, amplifying voices, and catalyzing social change. In this qualitative study, 107 higher education students from diverse backgrounds participated. The purpose of this study was to uncover salient beliefs about climate change stories on popular social media platforms among full-time college students. The results are based on three key components of the theory of planned behavior (TPB): affective beliefs, normative beliefs, and control beliefs. The respondents expressed both positive and negative attitudes …

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News Briefs, Marvin H. Jeter Iii, Joyce Shaw Feb 2026

News Briefs, Marvin H. Jeter Iii, Joyce Shaw

Mississippi Libraries

News updates from Gunter Library at the Gulf Coast Research Laboratory and from the Mississippi Library Commission.

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Long-Range Fit: A Software Package For The Representation And Study Of Long-Range Molecular Interactions, Adrian L. Batista-Planas, Ernesto Quintas-Sánchez, Richard Dawes Feb 2026

Long-Range Fit: A Software Package For The Representation And Study Of Long-Range Molecular Interactions, Adrian L. Batista-Planas, Ernesto Quintas-Sánchez, Richard Dawes

Chemistry Faculty Research & Creative Works

Describing intermolecular forces is fundamental to modeling and predicting the behavior of molecular systems. In particular, long-range molecular interactions with electrostatic, induction, and dispersion as the main components play a critical role, especially for low-temperature and low-density regimes. Long-range interactions are often described through perturbation theory, representing the electronic charge distribution via a multipolar series of the moments and polarizability tensors corresponding to each molecule. However, while the theory is well established, obtaining the resulting analytical expressions (and their practical implementation) constitutes a highly complex and system-dependent task. To address this challenge, we developed long-range-fit (LRF), an interactive and user-friendly …

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