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Articles 9481 - 9510 of 294515
Full-Text Articles in Physical Sciences and Mathematics
Accessing Cation And Anion Redox In Mixed-Valent One-Dimensional Iron-Chalcogenides, Na1.5fe1s2–Xsex(X = 0, 1, And 2), For Na-Ion Batteries, Santhoshkumar Sundaramoorthy, Milad Aghayi-Anaraki, Sutapa Bhattacharya, Amitava Choudhury
Accessing Cation And Anion Redox In Mixed-Valent One-Dimensional Iron-Chalcogenides, Na1.5fe1s2–Xsex(X = 0, 1, And 2), For Na-Ion Batteries, Santhoshkumar Sundaramoorthy, Milad Aghayi-Anaraki, Sutapa Bhattacharya, Amitava Choudhury
Chemistry Faculty Research & Creative Works
Sodium-ion batteries (NIBs) have attracted considerable attention as a cost-effective and sustainable alternative to lithium-ion batteries (LIBs), owing to the abundance and low cost of sodium resources. Here, we investigate previously reported mixed-valent (Fe3+/2+) one-dimensional (1D) iron chalcogenides: Na1.5FeS2, its selenide analogue Na1.5FeSe2, and newly developed solid solution Na1.5FeSSe, focusing on their synthesis, structural characterization, and electrochemical performance in NIBs. While the full Fe2+sulfide version (NaFeS2) of the compound is explored in solid-state cells for its dual cation–anion redox mechanism, we reveal the effect of anion substitution on the electrochemical behavior of Na1.5FeS2–xSex(x = 0, 1, …
My First Conversation With Chatgpt (February 22, 2023): Origins Of A Generative Dialogue, David Smith
My First Conversation With Chatgpt (February 22, 2023): Origins Of A Generative Dialogue, David Smith
Publications and Research
This working paper presents the first recorded interaction between the author and the generative AI system ChatGPT, written on February 22, 2023 during the initial weeks of a faculty sabbatical in Boston. The document preserves a complete and unedited transcript of an exploratory conversation conducted without predetermined research aims, marking the author’s first encounter with a large-language-model conversational interface. Although the exchange includes creative experimentation—including musical and poetic prompts—the discussion remains informal and wide-ranging, and no theoretical framework is articulated at this stage. Rather, this transcript is published as primary-source material documenting the moment of discovery and experimentation that precedes …
Gwtc-4.0: An Introduction To Version 4.0 Of The Gravitational-Wave Transient Catalog, A. G. Abac, Teviet Creighton, Mario C. Diaz, Raul Alberto Espinosa Perez, J. Lawrence, Francisco Llamas Villarreal, Soma Mukherjee, Volker Quetschke, Wenhui Wang
Gwtc-4.0: An Introduction To Version 4.0 Of The Gravitational-Wave Transient Catalog, A. G. Abac, Teviet Creighton, Mario C. Diaz, Raul Alberto Espinosa Perez, J. Lawrence, Francisco Llamas Villarreal, Soma Mukherjee, Volker Quetschke, Wenhui Wang
Physics & Astronomy Faculty Publications
The Gravitational-Wave Transient Catalog (GWTC) is a collection of short-duration (transient) gravitational-wave signals identified by the LIGO–Virgo–KAGRA Collaboration in gravitational-wave data produced by the eponymous detectors. The catalog provides information about the identified candidates, such as the arrival time and amplitude of the signal and properties of the signal’s source as inferred from the observational data. GWTC is the data release of this dataset, and version 4.0 extends the catalog to include observations made during the first part of the fourth LIGO–Virgo–KAGRA observing run up until 2024 January 31. This Letter marks an introduction to a collection of articles related …
Is Hockey Still Canada’S Game? How Usa Teams Have Won Every Stanley Cup Since 1994, Aaron Montgomery, Long Doan, Joe Demaio, Michael Frankel
Is Hockey Still Canada’S Game? How Usa Teams Have Won Every Stanley Cup Since 1994, Aaron Montgomery, Long Doan, Joe Demaio, Michael Frankel
Symposium of Student Scholars
The last Canadian team to win Lord Stanley’s cup in the National Hockey League was the Montreal Canadiens in 1993. Since then, each championship has been claimed by a team geographically located in the United States. Is this streak unusual? Perhaps it is particularly unusual in light of the fact that Hockey is known as Canada’s game. Is Hockey in its modern incarnation still Canada’s game? Given the long history of the NHL should we expect such a streak to occur at some point in time? Are we too fixated on the geographic location of the teams in question? Perhaps …
Prism (Proxy Recognition And Inclusion Scoring Method), Destiny Raburnel, Crystal Tubbs, Md Abdullah Al Hafiz Khan
Prism (Proxy Recognition And Inclusion Scoring Method), Destiny Raburnel, Crystal Tubbs, Md Abdullah Al Hafiz Khan
Symposium of Student Scholars
AI-driven automated hiring tools are reshaping how companies find talent, but they often reproduce the hidden biases embedded in their training data. Our project, PRISM (Proxy Recognition and Inclusion Scoring Method), investigates how subtle demographic signals, specifically first names associated with gender and race, influence AI resume screening even when candidates have identical qualifications. We built a controlled dataset of resumes that are identical in every way except for the applicant's first name, with each resume using a racially neutral surname to isolate how first names alone affect scoring. We tested these resumes against job postings in technology, healthcare, and …
Degeneracies In A Weighted Sum Of Two Squares, Ishan V. Ramesh
Degeneracies In A Weighted Sum Of Two Squares, Ishan V. Ramesh
Rose-Hulman Undergraduate Mathematics Journal
This work is an attempt to classify and quantify instances when a weighted sum of two squares of positive integers, 3n2 1 +n2 2, can be realized in more than one way. Our project was inspired by a particular study of two-dimensional quantum billiards [S. G. Jackson, H. Perrin, G. E. Astrakharchik, and M. Olshanii, SciPost Phys. Core 7, 062 (2024)] where the weighted sums of interest represents an energy level with the two integers being the billiard’s quantum numbers; there, the 3-fold degeneracies seem to dominate the energy spectrum. Interestingly, contrary to the conventional paradigm, these degeneracies are not …
Artificial Intelligence In Insurance Fraud Detection: Applications And Implications For Internal Audit, Maria Davis
Artificial Intelligence In Insurance Fraud Detection: Applications And Implications For Internal Audit, Maria Davis
Honors Projects
Artificial Intelligence (AI) is being used in accounting and the insurance industry to assist with auditing and fraud detection. The Big Four public accounting firms have invested heavily in AI implementation efforts. Across these firms, AI has been used to reallocate auditors’ time from mundane tasks to more complex tasks that require human judgement. Within the insurance industry, machine learning, deep learning, and natural language processing, among other AI tools, have proven helpful in fraud detection efforts. While the positive impacts of AI usage are clear, concerns surrounding the replacement of human jobs, a lack of transparency in auditing, heavy …
Math Meets Climate: The Energy Balance Model, Maria I. Sanchez Muniz
Math Meets Climate: The Energy Balance Model, Maria I. Sanchez Muniz
Open Educational Resources
This assignment introduces students to the mathematics of Earth’s climate through the classical energy balance model. Students analyze how incoming solar radiation, outgoing thermal radiation, and temperature-dependent albedo interact to determine Earth’s equilibrium temperature. Using analytical calculations and computational tools, students identify equilibrium states, assess their stability, and interpret the results through the lens of dynamical systems and bifurcation theory. The activity builds conceptual understanding of climate feedbacks, greenhouse effects, and tipping behavior using a transparent, one-variable model. Designed for applied mathematics and interdisciplinary STEM courses, this assignment emphasizes computation, physical interpretation, and real-world relevance. It is released as a …
Water Circulation Beneath A Hovering Suas For Water Quality Monitoring Applications, Erin E. Hackett, Boone Fleenor, Jensine C. Coggin, Duvall Dickerson-Evans, Nikolaos Vitzilaios, Whitney E. Schuler, Paige K. Williams, Michael L. Myrick
Water Circulation Beneath A Hovering Suas For Water Quality Monitoring Applications, Erin E. Hackett, Boone Fleenor, Jensine C. Coggin, Duvall Dickerson-Evans, Nikolaos Vitzilaios, Whitney E. Schuler, Paige K. Williams, Michael L. Myrick
Marine Science
Water quality has traditionally been measured via in situ sensors and satellites. The latter has limited applicability for smaller inland water bodies, while the former requires significant logistics, labor, and expense for routine sampling, and reactive/spurious sampling is often not feasible as a result (e.g., sampling pre-/post-storm). Consequently, small uncrewed aircraft system-based (sUAS-based) sampling has emerged as a potential solution to bridge these sampling gaps and challenges. But sampling from an sUAS is complicated by the need to pump water from depth, rather than suspending a sensor from the sUAS, due to concern over sampling sUAS-impacted waters. Here, we measure …
An Assessment And Comparison Of Expert System Performance And Large Language Model Performance, Carter A. Lange
An Assessment And Comparison Of Expert System Performance And Large Language Model Performance, Carter A. Lange
ATU Honors Projects
This study compares the performance of knowledge-based expert systems (KBES) and large language models (LLMs) in narrow-domain tasks. Using Akinator as the representative KBES and ChatGPT as the representative LLM, fifty character-identification trials were conducted. Results show that both systems ultimately succeeded in identifying all characters, but their efficiency and accuracy differ. Akinator required fewer incorrect guesses and produced no identifiable total failures, or “errors,” while ChatGPT occasionally erred beyond possible continuation despite similar average guess counts. Statistical analysis revealed no significant difference in the number of questions required before success, but McNemar’s test indicated that ChatGPT made significantly more …
Jer-2021 Assistance To The State Water Resources Research Institute Program (Year 1 Of 5) For The 104(B) Program, David Tarboton
Jer-2021 Assistance To The State Water Resources Research Institute Program (Year 1 Of 5) For The 104(B) Program, David Tarboton
Funded Research Records
No abstract provided.
Bcser: Learning Analytics For Process-Driven Computer Programming Assignments, Hamid Karimi
Bcser: Learning Analytics For Process-Driven Computer Programming Assignments, Hamid Karimi
Funded Research Records
No abstract provided.
Predicting Skin Concern Severity From Genetic And Lifestyle Factors: A Comparative Multi-Output Machine Learning Framework, Yassine Benachour, Lina Maloukh, Sadok Bouamama, Barbara Geusens
Predicting Skin Concern Severity From Genetic And Lifestyle Factors: A Comparative Multi-Output Machine Learning Framework, Yassine Benachour, Lina Maloukh, Sadok Bouamama, Barbara Geusens
All Works
Personalized dermatology increasingly leverages both genetic predispositions and lifestyle behaviors to model individual skin health outcomes. This study proposes a multi-output machine learning framework to predict the severity of six dermatological phenotypes—acne, redness, dryness, sensitivity, scarring, and pigmentation—using a multimodal dataset of 5,254 individuals. Input features include mutation profiles for six skin-related genes (FLG, MMP1, MMP3, AQP3, SOD2, GPX) and 22 lifestyle variables such as sun exposure, stress, and hydration. We train and evaluate LightGBM models under independent, multi-output, and chained configurations. Performance is assessed using Mean Absolute Error (MAE) and average Quadratic Weighted Kappa (QWK). The proposed ordinal-aware independent …
Career: End-To-End Active Region-Based Heliospheric Forecasting System Using Multi-Spacecraft Data And Machine Learning, Soukaina Filali Boubrahimi
Career: End-To-End Active Region-Based Heliospheric Forecasting System Using Multi-Spacecraft Data And Machine Learning, Soukaina Filali Boubrahimi
Funded Research Records
No abstract provided.
Wf-2453 Post-Wildfire Hydrogeomorphic Risk Management Assessment, Belize A. Lane
Wf-2453 Post-Wildfire Hydrogeomorphic Risk Management Assessment, Belize A. Lane
Funded Research Records
No abstract provided.
Nsf Convergence Accelerator Track (H): Automating Transportation Affordances For People Living With Disabilities Using A Machine Learning Approach, Brent Chamberlain
Nsf Convergence Accelerator Track (H): Automating Transportation Affordances For People Living With Disabilities Using A Machine Learning Approach, Brent Chamberlain
Funded Research Records
No abstract provided.
Assessing The Efficacies Of Passive Versus Active Restoration On Heavily Disturbed Cattle-Grazing Sites In The Mojave National Preserve, Kari Veblen
Funded Research Records
No abstract provided.
Wg-2413 Remote Sensing Of Wine-Grapevine Transpiration For Improving Vine Water Status, Alfonso Faustino Torres
Wg-2413 Remote Sensing Of Wine-Grapevine Transpiration For Improving Vine Water Status, Alfonso Faustino Torres
Funded Research Records
No abstract provided.
Collaborative Research: Cif: Medium: Foundations Of Robust Deep Learning Via Data Geometry And Dyadic Structure, Kevin Moon
Funded Research Records
No abstract provided.
Shine: Understanding The Relationships Of Photospheric Vector Magnetic Field Parameters In Solar Flare Occurrences Using Graph-Based Machine Learning Models, Shah Hamdi
Funded Research Records
No abstract provided.
Dynamicslab: Interactive Physics Simulations For Intermediate Classical Mechanics, John M. Edwards, Boyd Farrell Edwards, Hillary L. Swanson
Dynamicslab: Interactive Physics Simulations For Intermediate Classical Mechanics, John M. Edwards, Boyd Farrell Edwards, Hillary L. Swanson
Funded Research Records
No abstract provided.
Understanding Ecological Processes For Restoring Rare Plant Species To Their Native Habitats Under Increasing Land Use And Changing Regional Climate, Kari Veblen
Funded Research Records
No abstract provided.
Tidal Interactions In Strong Field Gravity, Maria Jose Rodriguez
Tidal Interactions In Strong Field Gravity, Maria Jose Rodriguez
Funded Research Records
No abstract provided.
Collaborative Research: Evolution Of The Tristan-Gough-Walvis Ridge Hotspot System: Age And Composition Of Expedition 391/397t Volcanic Basement, Katherine Elizabeth Potter
Collaborative Research: Evolution Of The Tristan-Gough-Walvis Ridge Hotspot System: Age And Composition Of Expedition 391/397t Volcanic Basement, Katherine Elizabeth Potter
Funded Research Records
No abstract provided.
Collaborative Research: Rapid: Fault Rupture And Spring Sampling Of The 2023 Kahramanmaras, Turkey, Earthquake Sequence Ruptures, Alexis Ault, Dennis Lowell Newell
Collaborative Research: Rapid: Fault Rupture And Spring Sampling Of The 2023 Kahramanmaras, Turkey, Earthquake Sequence Ruptures, Alexis Ault, Dennis Lowell Newell
Funded Research Records
No abstract provided.
Representation Theory In Unoriented And Non-Semisimple Physics, Matthew Bruce Young
Representation Theory In Unoriented And Non-Semisimple Physics, Matthew Bruce Young
Funded Research Records
No abstract provided.
Dryland Soil Carbon Inventory, Brooke Osborne
Dryland Soil Carbon Inventory, Brooke Osborne
Funded Research Records
No abstract provided.
How Novices Write Code: Discovering Best Practices And How They Can Be Adopted, John Martin Edwards
How Novices Write Code: Discovering Best Practices And How They Can Be Adopted, John Martin Edwards
Funded Research Records
No abstract provided.
Exceptional Holography, Oscar Varela
Re: Approval Letter For The Revised Butte Priority Soils Operable Unit (Bpsou) Butte Treatment Lagoons (Btl) Groundwater Treatment System Annual Operations, Maintenance, And Monitoring (Om&M) Plan – 2023 (Dated October 29, 2025), Emma Rott
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.