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Urban Sprawl And Residential Carbon Emissions: Evidence From Indonesia And The Philippines, Yi Jiang, Taylor Lathrop, Alexander D. Rothenberg, Yao Wang Jan 2026

Urban Sprawl And Residential Carbon Emissions: Evidence From Indonesia And The Philippines, Yi Jiang, Taylor Lathrop, Alexander D. Rothenberg, Yao Wang

Center for Policy Research

This paper studies how neighborhood density affects residential carbon emissions, using detailed data from Indonesia and the Philippines. To address simultaneity, we instrument density with soil characteristics, and to address sorting, we control for community averages of observed characteristics. Unlike cities in developed countries, we find that density is positively correlated with residential energy use. After controlling for sorting, we find a precise null relationship between density and residential carbon emissions. Our results suggest that policies to control urban sprawl may not be successful in reducing residential carbon emissions in developing country cities.


Annual Comprehensive Financial Report, Knox County, For The Year Ended June 30, 2025, Tennessee. Comptroller Of The Treasury. Jan 2026

Annual Comprehensive Financial Report, Knox County, For The Year Ended June 30, 2025, Tennessee. Comptroller Of The Treasury.

Tennessee County Audit Reports

No abstract provided.


Capturing Sclera Anisotropy Using Direct Collagen Fiber Models: Linking Microstructure To Macroscopic Mechanical Properties, Fengting Ji, Xuehuan He, Frederick Sebastian, Mohammad R. Islam, Hannah Schilpp, Bingrui Wang, Yi Hua, Rouzbeh Amini, Ian A. Sigal Jan 2026

Capturing Sclera Anisotropy Using Direct Collagen Fiber Models: Linking Microstructure To Macroscopic Mechanical Properties, Fengting Ji, Xuehuan He, Frederick Sebastian, Mohammad R. Islam, Hannah Schilpp, Bingrui Wang, Yi Hua, Rouzbeh Amini, Ian A. Sigal

Mechanical Engineering Faculty Publications

Collagen fibers are essential to the mechanical behavior of soft tissues, including sclera. Conventional models often represent these fibers statistically, potentially missing crucial aspects of their role in tissue behavior. In this study, we expand on a direct fiber modeling approach that we recently presented based on explicitly representing the sclera long, interwoven fiber bundles. Specifically, our goal was to capture specimen-specific 3D fiber architecture and anisotropic mechanics of four ovine sclera samples (superior from Eye-1, temporal and superior from Eye-2, and temporal from Eye-3), each tested under five conditions: equi-biaxial (1:1) and four non-equi-biaxial (1:0.75, 0.75:1, 1:0.5, and 0.5:1). …


General And Special Relativity May Explain The Hubble Tension And Galactic Rotation, Charles F. Babbs Jan 2026

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.


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 Jan 2026

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 Jan 2026

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 …


Lung Epithelial And Alveolar Macrophage-Like Cell Interactions Significantly Modify Innate Responses To Bacterial Endotoxin With The Involvement Of Direct Cellular Contacts, Tnf-Α, Icam1 And Mcp-1, Connor Wood, Shagun Khera, Minjeong Woo, Vikram Sharma, Justyna Lopatecka, Frederic Coulon, Zaheer Nasir, Vincent Delorme, Simon K. Jackson, György Fejer Jan 2026

Lung Epithelial And Alveolar Macrophage-Like Cell Interactions Significantly Modify Innate Responses To Bacterial Endotoxin With The Involvement Of Direct Cellular Contacts, Tnf-Α, Icam1 And Mcp-1, Connor Wood, Shagun Khera, Minjeong Woo, Vikram Sharma, Justyna Lopatecka, Frederic Coulon, Zaheer Nasir, Vincent Delorme, Simon K. Jackson, György Fejer

School of Biomedical Sciences

Introduction: Lung alveolar macrophages (AMs) and epithelial cells form the first line of defense against inhaled pathogens. Their interactions strongly influence innate immune responses in the lung, yet the mechanisms underlying this cross-talk remain incompletely understood. Methods: In this study, we established a co-culture system using a primary model of AMs (MPI alveolar macrophage-like cells) and MLE-12 alveolar epithelial cells to investigate innate responses and cellular interactions during bacterial lipopolysaccharide (LPS)-induced TLR4 activation. Results: Cytokine and chemokine profiling revealed that co-cultures exhibited significantly enhanced proinflammatory responses to both LPS and TLR2 ligands—including IL-6, TNF-a, and MCP-1 secretion—compared with mono-cultures. Strikingly, …


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 Jan 2026

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.


Empowerment Through Understanding: Ai Research Tools And The Data That Powers Them, Catherine Baird, Jacob Bilek, Justin Savage Jan 2026

Empowerment Through Understanding: Ai Research Tools And The Data That Powers Them, Catherine Baird, Jacob Bilek, Justin Savage

University Libraries Scholarship and Creative Works

No abstract provided.


No Mullahs, No Shah, Donna M. Hughes Jan 2026

No Mullahs, No Shah, Donna M. Hughes

Dignity: A Journal of Analysis of Exploitation and Violence

No abstract provided.


A Study Of The Impacts Of Infusing Data Analysis And Research In An Interdisciplinary Environmental Economics Course, Sean P. Macdonald Jan 2026

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.


A Comparison Of First- And Continuing-Generation Students Completing A Project-Based Introductory Statistics Course, Susan A. Dumais, Naomi J. Spence, Lisa Dierker Jan 2026

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 Jan 2026

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 …


Private Equity And Non-Profit Status In The Us Healthcare System, Sam Halabi, Sanvi Belani, George O'Hara Jan 2026

Private Equity And Non-Profit Status In The Us Healthcare System, Sam Halabi, Sanvi Belani, George O'Hara

Akron Law Review

No abstract provided.


Reconnect Or Disconnect?: Using Technology To Address Loneliness And Social Isolation For Aging Adults And Its Regulation, Laura C. Hoffman Jan 2026

Reconnect Or Disconnect?: Using Technology To Address Loneliness And Social Isolation For Aging Adults And Its Regulation, Laura C. Hoffman

Akron Law Review

No abstract provided.


The Archon, 1949 Edition, Zeta Phi Beta Sorority Incorporated Jan 2026

The Archon, 1949 Edition, Zeta Phi Beta Sorority Incorporated

Josie Green Washington Papers

A 1949 edition pamphlet called The Archon, an official organ of the Zeta Phi Beta Sorority.


Atmospheric Waves Experiment (Awe) Thermal Control System: Review Of On-Orbit Performance, Matthew I. Ralphs, Mike Holt Jan 2026

Atmospheric Waves Experiment (Awe) Thermal Control System: Review Of On-Orbit Performance, Matthew I. Ralphs, Mike Holt

Space Dynamics Laboratory Publications

This paper reviews the Atmospheric Waves Experiment (AWE) detector thermal control system’s (TCS) performance for over two years of operation on the Internation Space Station (ISS). The TCS employs active thermal control for the InGaAs detectors with thermoelectric coolers (TEC). Each of the four detectors are controlled by a dedicated TEC at a nominal setpoint of -30°C, with heat transported away via low-mass, high-conductance pyrolytic graphite sheet (PGS) thermal straps into a nickel-plated copper conductor bar. A bi-directional radiator with Silver Teflon ensures an unobstructed view that can radiate the heat away to space. Titanium isolators decouple the detectors from …


A Suite Of Thermal Switches For Surviving Extreme Thermal Environments In Space, Matthew I. Ralphs, Matt Jensen, Alexis Eames, Matt Sinfield Jan 2026

A Suite Of Thermal Switches For Surviving Extreme Thermal Environments In Space, Matthew I. Ralphs, Matt Jensen, Alexis Eames, Matt Sinfield

Space Dynamics Laboratory Publications

Thermal switches are a key enabling technology for spacecraft operating in extreme thermal environments. Whether surviving the lunar night, managing intermittent high-power loads from deep space communication systems, or dealing with other extreme thermal environments, high-performance thermal switches allow critical missions to operate beyond conventional thermal design limits. This paper presents the development, testing, and performance of a suite of passive thermal switches designed for both spacecraft- and subsystem-level thermal control. The suite includes: (1) traditional in-line switch placed between sensitive components and radiators; (2) compact designs suitable for integration into standard bolted joint interfaces to modulate the conductance between …


Hypersonic Non-Equilibrium Cfd And Dsmc Model Comparisons With The Varda Reentry Capsule, Jack D. Crespo, Paolo Valentini, Ashwin P. Rao, Zach S. Davis Jan 2026

Hypersonic Non-Equilibrium Cfd And Dsmc Model Comparisons With The Varda Reentry Capsule, Jack D. Crespo, Paolo Valentini, Ashwin P. Rao, Zach S. Davis

Space Dynamics Laboratory Publications

Nonequilibrium aerothermodynamic modeling of the Varda hypersonic testbed capsule is conducted with direct simulation Monte Carlo (DSMC) and computational fluid dynamics (CFD) solvers. Flowfield properties at the 78 km reentry trajectory point are extracted to compute line of sight spectral radiance using two radiative emission codes, namely HARA and NEQAIR. Computed spectra are compared to spectral radiance measured by an in situ optical emission spectroscopy payload flown on Varda’s W-2 capsule in 2025. Model comparisons to the experimental data reveal discrepancies between the HARA and NEQAIR radiative emission predictions in both overall magnitude and qualitative behavior. NEQAIR was found to …


An Investigation Of A Mach 15 Flow Over A Blunt Wedge Using First-Principles Potential Energy Surfaces: Influence Of Wall Temperature, Paolo Valentini, Zach Davis, Maninder S. Grover, Nicholas J. Bisek Jan 2026

An Investigation Of A Mach 15 Flow Over A Blunt Wedge Using First-Principles Potential Energy Surfaces: Influence Of Wall Temperature, Paolo Valentini, Zach Davis, Maninder S. Grover, Nicholas J. Bisek

Space Dynamics Laboratory Publications

The simulation of a Mach 15 air flow over a blunt wedge is conducted using the direct molecular simulation (DMS) method. Due to partial dissociation of the air mixture at the imposed free stream conditions, the shock layer contains N2, O2, NO, N, and O. All potential energy surfaces (PESs) used to model the various molecular interactions only describe electronic ground states energetics. Thus, no electronic excitation is modeled. An isothermal wall boundary condition is imposed, with full momentum and energy accommodation. Two wall temperatures are considered in this work, namely 1,000 K and 2,000 K. …


Curriculum Subcommittee Minutes January 8, 2026, Utah State University Jan 2026

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


New Hampshire Child Care Scholarship Program Reaches Young Children Statewide, Harshita Sarup, Jess Carson Jan 2026

New Hampshire Child Care Scholarship Program Reaches Young Children Statewide, Harshita Sarup, Jess Carson

Carsey Publications

In this brief, authors Harshita Sarup and Jess Carson offer an update on enrollment in the New Hampshire Care Scholarship Program and describe the age and geographic distribution of enrolled children. Using data from the New Hampshire Department of Health and Human Services, the authors confirm that enrollment more than doubled between December 2023—just before program eligibility was expanded in January 2024—and December 2025. More than 5,800 children, two-thirds of whom are under age five, are now served through the program, reaching each county of the state. The authors underscore the importance of continuously tracking program implementation and leveraging local …


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

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


General Education Subcommittee Minutes January 8, 2026, Utah State University Jan 2026

General Education Subcommittee Minutes January 8, 2026, Utah State University

Educational Policies Committee

  • Call to Order
  • Approval of Minutes - December 4, 2025
  • Course Approvals/Removals/Syllabi Approvals
  • New Business
  • Adjourn: 9:30 am


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

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


Curriculum Subcommittee Agenda January 8, 2026, Utah State University Jan 2026

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


What’S My Name? Experiences Of Individuals With Traditional Hawaiian Names, Natalya N. Spotkaeff Jan 2026

What’S My Name? Experiences Of Individuals With Traditional Hawaiian Names, Natalya N. Spotkaeff

Walden Dissertations and Doctoral Studies

There is no systematic process of orienting non-Hawaiian educators to Hawaiian culture, as evidenced by name mispronunciation. The purpose of this phenomenological study was to explore the experiences of individuals with traditional Hawaiian first names in a classroom environment. Critical race theory (CRT), especially the concept of microaggressions, was used as the framework for the study. Two research questions guided the study: What are the adult lived experiences with traditional Hawaiian first names encountered in academic settings during childhood? How do adults with traditional Hawaiian first names describe their experiences of race in the classroom? Semistructured interviews were conducted with …


The Relationship Between Cloud Computing Factors And Cloud Computing Behavioral Intention Of First-Year University Students, Gabriel Albino Jan 2026

The Relationship Between Cloud Computing Factors And Cloud Computing Behavioral Intention Of First-Year University Students, Gabriel Albino

Walden Dissertations and Doctoral Studies

In an era where vast amounts of data are generated daily, the ability to manage information through cloud computing has become critical; however, asymmetries in using this technology persist, particularly in developing countries. Academic managers often lack information about the factors influencing cloud computing usage. The purpose of this quantitative correlational cross-sectional study was to examine the relationship between cloud computing factors, including effort expectancy (EE), performance expectancy (PE), social influence (SI), and facilitating conditions (FC), and the first-year university students’ cloud computing behavioral intention (CCBI) in the developing country of Angola. A structured questionnaire was administered to a random …


Rheology-Guided Spinnability In Emulsion Forcespinning Of Water-In-Oil Nanofibers: Influence Of Surfactants And Internal Phase Concentration, Saptasree Bose, Alexandra Salinas, Evelyn Torres, Jose Ramirez, Elizabeth Gamez, Michelle A. Calabrese, Karen Lozano, Victoria Padilla Jan 2026

Rheology-Guided Spinnability In Emulsion Forcespinning Of Water-In-Oil Nanofibers: Influence Of Surfactants And Internal Phase Concentration, Saptasree Bose, Alexandra Salinas, Evelyn Torres, Jose Ramirez, Elizabeth Gamez, Michelle A. Calabrese, Karen Lozano, Victoria Padilla

Mechanical Engineering Faculty Publications

This study explores the emulsion Forcespinning (FS) approach for fabricating nanofibers with a hydrophilic phase encapsulated within a hydrophobic polymer matrix. Key factors influencing fiber production and morphology, including the concentration of the internal water phase and the presence of ionic and nonionic surfactants, were systematically investigated. Additionally, the centrifugal spinnability of the emulsions was assessed using environmentally controlled dripping-onto-substrate (DoS) rheometry, correlating the observed extensional flow behavior and emulsion extensibility with fiber spinnability. The nanofibers were characterized by scanning electron microscopy (SEM), thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), and Fourier transform infrared (FTIR) spectroscopy. These findings offer critical …


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 Jan 2026

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 …