The Pure Yang Mills Field V2, James Glimm

Department of Applied Mathematics & Statistics Faculty Publications

We construct a pure Yang-Mills field based on a non-Abelian simple gauge group.

Axioms and the mass gap are satisfied.

Unravelling Impact Of Comorbidities On Mortality Risks In Ckd Patients During The Covid-19 Pandemic: An Explainable Ai-Driven Study, Zeinab Abdollahi, Lin Huo, Donald Fraser, Shang-Ming Zhou

School of Nursing and Midwifery

ObjectivesThe chronic kidney disease (CKD) patients were at high risk for severe clinical complications during the COVID-19 pandemic. Our objectives were to evaluate comorbidity prevalence; predict mortality risks for CKD patients during the pandemic; assess how various health factors interact to influence mortality; and provide insights for targeted prevention strategies.MethodWe analysed data from 186,396 CKD patients in Mexico during the entire pandemic (Jan 2020- May 2023). Explainable artificial intelligence (XAI) methods with extreme gradient boosting (XGBoost) models and Shapley Additive Explanations (SHAP) were developed to predict mortality for CKD patients with model interpretations. Different metrics were used to comprehensively evaluate …

Antibacterial Peptides From Soybean (Glycine Max (L.) Merr.) With In Silico Study Against Escherichia Coli Bacteria, Dian Riana Ningsih, Ely Setiawan, Purwati Purwati, Zusfahair Zusfahair, Anita Hindayanti Rukmana

Karbala International Journal of Modern Science

Bioactive peptides are produced from soy milk protein hydrolysis using trypsin. The research began with the preparation and separation of soy milk protein, followed by fractionation using ammonium sulphate, protein hydrolysis, and SDS-PAGE analysis of protein hydrolysates. Fractions exhibiting the highest degree of hydrolysis were further fractionated by SPE and tested to determine the antibacterial activity Staphylococcus aureus and Escherichia coli. The peptide sequence of the active peptide as an antibacterial was identified, employing LC-HRMS. The mode of action between active peptides and bacterial membran was analysed using molecular dynamics (MD) simulation. The findings displayed that F15 contained the highest …

(((Qpie))) How To Read Qpie If You Are Trained In Physics, Teddy Burroughs

Defensive Publications Series

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The Grand Unified Theory (QPIE)

Perspective Is Everything – What we are Believing, Expecting and Feeling in Life Matters

(((QPIE)))How to Read QPIE If You Are Trained in Physics

How to Read QPIE If You Are Trained in Physics

A Technical Orientation Guide for Physicists, Information Scientists, and Systems Theorists

0. One-Paragraph Orientation (Read This First)

QPIE (Quantum Perspective Is Everything) is not a competing physical theory, nor a modification of quantum mechanics. It is a meta-scientific operator …

Sociodemographic And Hiv-Related Characteristics Associated With Mental Health Diagnoses Among People Living With Hiv, Monique J. Brown Ph.D., Mph, Jiayang Xiao, Xueying Yang Ph.D., Bankole Olatosi Ph.D., Sharon Weissman, Xiaoming Li Ph.D., Jiajia Zhang Ph.D.

Faculty Publications

Mental health diagnoses have been linked to poor HIV treatment outcomes and poorer quality of life among people living with HIV (PLWH). Therefore, this study aimed to investigate the association between sociodemographic and HIV-related characteristics, and common and serious mental health disorders among PLWH in South Carolina (SC). Data were obtained from the integrated system of statewide electronic health record (EHR) data in SC (2006–2019; N = 8,124). Multivariable logistic regression models were used to determine the associations between sociodemographic and HIV-related characteristics, and common mental health disorders and serious mental health disorders. Among the study population, 4% were 60 …

Daily Locomotor Activity Declines With Tumor Growth And Disease Progression In Glioblastoma, Maria F Gonzalez-Aponte, Sofia V Salvatore, Anna R. Damato, Ruth Gn Katumba, Grayson R. Talcott, Omar H. Butt, Jian L. Campian, Jingqin Luo, Joshua B. Rubin, Olivia J. Walch, Erik D. Herzog

2020-Current year OA Pubs

Glioblastoma (GBM) is an aggressive brain tumor that often progresses despite resection and treatment. Timely and continuous assessment of GBM progression is critical to expedite secondary surgery or enrollment in clinical trials. However, current progression detection requires costly and specialized MRI examinations, which, in the absence of new symptoms or signs, are usually scheduled every 2-3 months. Here, we hypothesized that changes in daily activity are associated with GBM growth and disease progression. We found that wheel-running activity in GBM-bearing mice declined as tumors grew and preceded weight loss and circadian breakdown by over a week. Temozolomide treatment in the …

Measurement Of 18f(Alpha,P)21ne With The Array For Nuclear Astrophysics And Structure With Exotic Nuclei (Anasen), Keilah S. Davis

LSU Doctoral Dissertations

Certain (α,p) reactions on proton-rich nuclei are among the most important nuclear reactions occurring during Type I X-ray bursts, as well as being impactful in stellar explosions during the Asymptotic Giant Branch (AGB) phase and on accreting white dwarfs (WD). However, large uncertainties remain for reaction rates on some radioactive nuclei due to the lack of direct measurements. The Array for Nuclear Astrophysics and Structure with Exotic Nuclei (ANASEN) is a gas target and charged-particle detector designed for direct measurements of (α,p) reactions. ANASEN was redesigned with two hexagonal barrels of 100-µm-thick silicon strip surrounding the beam axis over a …

General And Special Relativity May Explain The Hubble Tension And Galactic Rotation, Charles F. Babbs

Weldon School of Biomedical Engineering Faculty Working Papers

Using two equations from general and special relativity, one can explore the hypothesis that gravitational time dilation and the relativistic Doppler effect cause the Hubble tension. Predicted results show good agreement between theory and observation, as long as mass is restricted to ordinary baryonic matter. This unexpected finding suggested a surprising continuation, namely that observed galactic rotation also be explained by special relativity. This idea survived initial tests using both Vera Rubin’s original data and more recent observations.

Additional Information About The Nitrogen Cycle And Population Dynamics, Amy M. Shambach, Rebecca M. Ward, J. Stuart Carlton, Kwamena K. Quagrainie, Tomas O. Höök

Supplementary Content for Aquaponics: Farming Fish and Growing Greens for Grades 9–12

This PowerPoint slide provides readers with additional information about the Nitrogen cycle and population dynamics. This book was published by the Purdue University Press. Copyright 2026.

Permission: Illinois-Indiana Sea Grant

Jiving With Llms: Assessing First Year Students’ Computer Programming Self Efficacy After Reading Code With Llms, Michelle Jarvie-Eggart, Joseph Roy Teahen, Daniel T. Masker, Jose Padilla, Leo C. Ureel Ii, Laura E. Brown, Scott Pomerville, Jon Sticken

Michigan Tech Publications

This study investigated the impact of leveraging generative artificial intelligence (GenAI) to assist 1st-year engineering and computer science (CS) students in reading code in a new (to them) language. Students were asked to comment code in FORTRAN. They were then asked to run the code through ChatGPT-4.0 for its comments and reflect on what they learned from the experience. Participants completed survey items from Ramalingam and Wiedenbeck’s Computer Programming Self-Efficacy Scale (CPSES) prior to and after the intervention. Additional open-ended reflective (qualitative) questions were added to the quantitative questions in the postintervention questionnaire. This study documents increases in self-efficacy for …

Generative Algorithms For Wildfire Progression Reconstruction From Multi-Modal Satellite Active Fire Measurements And Terrain Height, Bryan Shaddy, Brianna Binder, Agnimitra Dasgupta, Haitong Qin, James Haley, Angel Farguell, Kyle Hilburn, Derek V. Mallia, Adam Kochanski, Jan Mandel, Assad A. Oberai

Faculty Research, Scholarly, and Creative Activity

Highlights: What are the main findings? Conditional generative algorithms trained on simulations of historic wildfires may be used to effectively reconstruct the early-time progression of wildfires given satellite active fire measurements and terrain height data. When applied to real wildfires, generated fire progression estimates compare favorably to ground-truth high resolution infrared perimeters measured via aircraft, with the ability to gather additional information about model uncertainty from generated samples. What are the implications of the main findings? Once obtained, fire progression estimates may be used to perform data assimilation, wherein the estimated fire state is used to initialize subsequent wildfire spread …

Butte Priority Soils Operable Unit (Bpsou) 2025 Monthly Progress Report. Consent Decree For The Butte Priority Soils Operable Unit. Civil Action No. Cv 89-039-Bu-Seh, Atlantic Richfield Company

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Toilet Paper Olympics, Liza Bondurant

Publications

Toilet Paper Olympics includes three engaging embodied learning events designed to deepen conceptual understanding.

Teaching Numeracy For Social Justice: Educational Equity, Esther Isabelle Wilder, Crystal C. Rodriguez, Caterina Shost, Eduardo Vianna, Frank Wang

Numeracy

The special collection, “Teaching Numeracy for Social Justice: Educational Equity,” focuses on how quantitative reasoning (QR) can function as a vehicle for equity, empowerment, and democratic participation. Building on a longstanding tradition that treats numeracy as inseparable from social justice, these contributions highlight how progressive pedagogies (e.g., active learning, authentic research, and equity-oriented assessment) have the potential to broaden access for students historically excluded from quantitative fields. The studies span a variety of conceptual frameworks, introductory and advanced quantitative instruction, and interdisciplinary applications, showcasing how inclusive QR practices can build confidence, agency, and real-world understanding. These articles demonstrate that when …

A Study Of The Impacts Of Infusing Data Analysis And Research In An Interdisciplinary Environmental Economics Course, Sean P. Macdonald

Numeracy

This paper explores the impacts of introducing quantitative literacy skills in an interdisciplinary Environmental Economics course typically taught as an issues and policy course without a quantitative component. The study examines the effects of infusing an engaging, student-selected data collection and analysis assignment on students' quantitative reasoning skills, as well as their interest in and attitudes about data analysis and quantitative information. Using data gathered from a set of pre- and post-assessment questions designed to measure changes in quantitative reasoning skills and attitudes, the findings point to significant attitudinal impacts, gains, but smaller, insignificant gains in quantitative reasoning skills.

Quantitative Reasoning In Calculus Iii: Advancing Student Engagement, Confidence, And Aspirations At An Hsi, Tanvir Prince

Numeracy

This study examines the impact of integrating Quantitative Reasoning (QR) into a Calculus III course at a Hispanic-Serving Institution (HSI) on student engagement, confidence, and aspirations. The course is offered at Hostos Community College in the South Bronx. It incorporated QR-focused projects on economic inequality, environmental pollution, and access to healthcare. These projects allowed students to apply advanced calculus concepts to real-world social issues. A pre- and post-survey design was employed to assess changes in students’ mathematical confidence, perceptions of relevance, and career and educational goals. Results showed statistically significant gains in confidence and in the belief that advanced math …

A Comparison Of First- And Continuing-Generation Students Completing A Project-Based Introductory Statistics Course, Susan A. Dumais, Naomi J. Spence, Lisa Dierker

Numeracy

Traditional introductory statistics courses that focus on techniques are not engaging for many college students; this may be especially true for first-generation college students, who generally have more difficulty engaging in the college environment than continuing-generation students. We study first-generation college students’ experiences in a course-based undergraduate research experience called Passion-Driven Statistics. Passion-Driven Statistics is a multidisciplinary, project-based introductory statistics course where students develop their own research topics, analyze publicly available quantitative data, and focus on conceptual understanding of statistics rather than hand calculations. Using pre-course and post-course surveys from students taking Passion-Driven Statistics in colleges throughout the United States, …

Toward Fairer And More Equitable Numeracy Measurement: Improvements To The Quantitative Reasoning For College Science Assessment, Vonna L. Hemmler, Isaac Rosenthal, Kate Follette, Catherine Sarosi, Erin Galyen, Sanlyn Buxner, Jackson Carter, Samantha Maynard, Sarah Bunnell

Numeracy

Numeracy has become an increasingly important 21st-century skill that, due to the relationship between math and science, is often formally developed at the college level in general education science courses. These courses serve a diverse group of students, many of whom have historically experienced science teaching, curriculum, and assessment on the margins. The well-documented biases of assessments in particular against Individuals of Color (IoC) have inspired us to approach numeracy for social justice in our work from this angle, and in this paper, we detail our efforts to revise our validated numeracy assessment to ensure it more fairly and equitably …

The Roles Of Mathematics In Teaching For Social Justice: A Framework For The College Classroom, Vivian Lim, Daniel Libertz

Numeracy

In this paper, we present a framework for understanding the multiple roles that mathematics can serve in the classroom towards social justice goals, developed through an analysis of 36 social justice mathematics curricular modules in college settings. The framework is grounded in Patricia Hill Collins's matrix of domination and consists of seven themes that represent the different roles mathematics can play: measuring inequality, illuminating conditions resulting in inequality, understanding the mechanisms of phenomena, challenging stereotypes and misconceptions, generating and evaluating solutions, communication and action, and criticizing quantification. Our framework supports the perspective that mathematics can serve important and distinct roles …

Eurocentric Or Child-Centered? A History Of Education In The United States In The Twentieth Century, Jason Kane

Legacy

No abstract provided.

Curriculum Subcommittee Minutes January 8, 2026, Utah State University

Educational Policies Committee

• Approval of Minutes - December 4, 2025
• Program Proposals
• Semester Course Approval Review
• Other Business
• Adjourn: 3:00 pm

2026 January 8 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Educational Policies Committee Agenda January 8, 2026, Utah State University

Educational Policies Committee

• Approval of Minutes - December 4, 2025
• Subcommittee Reports
• Curriculum Subcommittee
• Academic Standards Subcommittee
• General Education Subcommittee
• Other Business
• Adjourn: 4:00 pm

Educational Policies Committee Minutes January 8, 2026, Utah State University

Educational Policies Committee

• Approval of Minutes - December 4, 2025
• Subcommittee Reports
• Curriculum Subcommittee
• Program Proposals
• Academic Standards Subcommittee
• General Education Subcommittee
• Center for Civic Excellence
• Other Business
• Adjourn: 3:25 pm

Utilizing Machine Learning Techniques For Computer-Aided Covid-19 Screening Based On Clinical Data, Honglun Xu, Andrews T. Anum, Michael Pokojovy, Sreenath Chalil Madathil, Yuxin Wen, Md. Fashiar Rahman, Tzu-Liang Bill Tseng, Scott Moen, Eric Walser

Engineering Faculty Articles and Research

The COVID-19 pandemic has highlighted the importance of rapid clinical decision-making to facilitate the efficient usage of healthcare resources. Over the past decade, machine learning (ML) has caused a tectonic shift in healthcare, empowering data-driven prediction and decision-making. Recent research demonstrates how ML was used to respond to the COVID-19 pandemic. This paper puts forth new computer-aided COVID-19 disease screening techniques using six classes of ML algorithms (including penalized logistic regression, random forest, artificial neural networks, and support vector machines) and evaluates their performance when applied to a real-world clinical dataset containing patients’ demographic information and vital indices (such as …

Curriculum Subcommittee Agenda January 8, 2026, Utah State University

Educational Policies Committee

• Approval of Minutes - December 4, 2025
• R401 - Program Proposals
• Semester Course Approval Reviews
• Other Business
• UCC and EPC Handbook updates
• Adjourn: 3:00 pm

Metacommunity Coupled Epidemiological And Biophysical Modeling Of An Emergent Coral Disease, Benjamin Holmes Farmer

LSU Doctoral Dissertations

Emerging infectious diseases pose imminent risk to the marine realm and coral reefs in particular. Since its emergence in 2014, stony coral tissue loss disease (SCTLD) has dramatically reduced living coral cover in Florida and charted a similar course in the Caribbean. SCTLD is by far the most severe coral disease in history and has driven highly susceptible species to local extinction, yet the mechanisms driving the regional epizootic are not well understood. Here, we developed reef-scale parameterizations of disease spread using model sites in the lower Florida Keys, developed extensive metacommunity habitat maps for the US Caribbean, and then …

Combinatorial Synthesis Of Protein-Polymer Conjugates By Post-Polymerization Modification Of Poly(Pentafluorophenyl Acrylate)S, Emily W. Kish, Thatcher M. Lee, Alexis M. Ziemba, Ama Boamah, Bianca Figueroa, Margherita Piccardi, Carey E. Dougan, Sarah J. Moore, Maren E. Buck

Chemistry: Faculty Publications

Combinatorial methods for preparing polymeric biomaterials enable the rapid identification of materials useful for many applications in science, medicine, and engineering. In the work described here, we demonstrate that side-chain reactive polymers can be used as templates for the rapid preparation of a small library of diversely functionalized protein–polymer conjugates. The activated ester polymer poly(pentafluorophenyl acrylate) (PPFPA) was modified postpolymerization with substoichiometric equivalents of three hydrophilic primary amines to yield a library of amphiphilic, side-chain reactive copolymers. These copolymers were then conjugated to two receptor-targeting proteins, holotransferrin (hTF) and an engineered fibronectin-based protein (Fn3), through amine-activated ester coupling. We investigated …

Simulation Results Of Spaceborne Ssa Using A Comprehensive Passive Radar Model, Chinmay Gaikwad, Filipe Senra, Thomas Alan Lovell, Hao Peng, Berker Pekoz, Tianyu Yang

Publications

In this paper, a high-fidelity simulation framework is developed to assess the feasibility of tracking space debris using a large low-Earth orbit (LEO) satellite constellation equipped with onboard passive radar sensors. By exploiting illumination from a distributed network of ground-based transmitters, the constellation provides consistent line-of-sight access to debris objects at higher altitudes, enabling angles-only detection and tracking. This approach yields a scalable, automated, and cost-effective architecture for next-generation space surveillance and contributes to more resilient space traffic management. A complete angles-only passive-radar orbit-determination pipeline is introduced and demonstrated. Initial orbital states are generated using a rate-aware constrained admissible-region multiple-hypothesis …

Method And System For Distributed Timekeeping And Synchronization Using Coprime Cyclic Hyperdimensional Vectors, Steven Kirkland

Defensive Publications Series

Disclosed is a protocol and architecture for distributed timekeeping that replaces scalar binary counters (e.g., Unix timestamps) with Hyperdimensional (HD) State Vectors. The system, termed the "Universal Time-Locked Protocol (UTLP) Vector Time," generates a global time state via the superposition of multiple coprime cyclic attractors (virtual oscillators), creating a high-dimensional "temporal texture" that evolves deterministically.

Unlike scalar clocks which require absolute synchronization, this vector-based approach enables "Fuzzy Synchronization," where distributed nodes correct drift via similarity-based gradient descent rather than hard resets. To accommodate low-bandwidth networks (e.g., BLE, 802.15.4), the system utilizes "Generative Compression," transmitting only the phase indices (a "Harmonic …