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Full-Text Articles in Physical Sciences and Mathematics

Semantic-Structural Decoupling: Disentangling Semantic Attention From Structural Bias In The Attention Manifold, Pengkun Jiao, Bin Zhu, Jingjing Chen, Yu-Gang Jiang Nov 2026

Semantic-Structural Decoupling: Disentangling Semantic Attention From Structural Bias In The Attention Manifold, Pengkun Jiao, Bin Zhu, Jingjing Chen, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

The empirical success of attention mechanism in Multimodal Large Language Models (MLLMs) often obscures its inherent, subtle flaws. Specifically, MLLMs consistently exhibit disproportionate attention toward certain semantically uninformative visual tokens, a phenomenon termed "register" or "Visual Attention Sinks." While existing inference intervention methods attempt to identify these sink tokens and redistribute their attention weights, such approaches typically treat these tokens in isolation and suffer from computational inefficiency. Instead, we reframe this phenomenon as a generalized textual bias exerted over visual features that extends beyond isolated sink tokens. From this perspective, a pervasive structural bias leads to the dilution of the …


Analyzing Developer Discussions On Eu And Us Privacy Legislation Compliance In Github Repositories, Georgia M. Kapitsaki, Maria Papoutsoglou, Christoph Treude, Ioanna Theophilou Nov 2026

Analyzing Developer Discussions On Eu And Us Privacy Legislation Compliance In Github Repositories, Georgia M. Kapitsaki, Maria Papoutsoglou, Christoph Treude, Ioanna Theophilou

Research Collection School Of Computing and Information Systems

Context: Privacy legislation has impacted the way software systems are developed, prompting practitioners to update their implementations. Specifically, the EU General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) have forced the community to focus on users’ data privacy. Objectives: Relying on the vast amount of data on developer issues available in GitHub repositories, our aim is to gather empirical evidence on the issues developers of Open Source Software discuss to comply with privacy legislation. Method: We examined such discussions by mining and analyzing 32,820 issues from GitHub repositories. We partially analyzed the dataset automatically to identify …


Spatialimaginer: Towards Adaptive Visual Imagination For Spatial Reasoning, Yian Li, Yang Jiao, Bin Zhu, Tianwen Qian, Shaoxiang Chen, Jingjing Chen, Yu-Gang Jiang Nov 2026

Spatialimaginer: Towards Adaptive Visual Imagination For Spatial Reasoning, Yian Li, Yang Jiao, Bin Zhu, Tianwen Qian, Shaoxiang Chen, Jingjing Chen, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

Spatial intelligence, which refers to the ability to reason about geometric and physical structure from visual observations, remains a core challenge for multimodal large language models. Despite promising performance, recent multimodal large language models (MLLMs) often exhibit fragile reasoning traces in spatial intelligence tasks that involve consistent spatial state recognition. We argue that these failures stem from a mismatch between the spatial recognition mechanism and the text-only reasoning behavior of these MLLMs. Effective spatial reasoning requires low-level geometric structure to be faithfully preserved and updated throughout the reasoning process, whereas textual representations tend to abstract away precisely these critical details. …


A Finite Element Model For Thermomechanical Stress-Strain Fields In Transversely Isotropic Strain-Limiting Materials, Saugata Ghosh, Dambaru Bhatta, S. M. Mallikarjunaiah Nov 2026

A Finite Element Model For Thermomechanical Stress-Strain Fields In Transversely Isotropic Strain-Limiting Materials, Saugata Ghosh, Dambaru Bhatta, S. M. Mallikarjunaiah

School of Mathematical & Statistical Sciences Faculty Publications

This paper presents a comprehensive computational framework for investigating thermo-elastic fracture in transversely isotropic materials, where classical linear elasticity fails to predict physically realistic behavior near stress concentrations. We address the challenge of unphysical strain singularities at crack tips by employing a strain-limiting theory of elasticity. This theory is characterized by an algebraically nonlinear constitutive relationship between stress and strain, which intrinsically enforces a limit on the norm of the strain tensor. This approach allows the development of very large stresses, as expected near a crack tip, while ensuring that the corresponding strains remain physically bounded. A loosely coupled system …


Managing Collaboration Under Conservation Crisis: Trust, Risk, And Control In The Gulf Of Maine Fishery Management Network, Evelyn Roozee, Owen Temby, Dongkyu Kim, Antonia Sohns, Anthony Rocha Lima, Jasper R. De Vries, Gordon M. Hickey Nov 2026

Managing Collaboration Under Conservation Crisis: Trust, Risk, And Control In The Gulf Of Maine Fishery Management Network, Evelyn Roozee, Owen Temby, Dongkyu Kim, Antonia Sohns, Anthony Rocha Lima, Jasper R. De Vries, Gordon M. Hickey

School of Earth, Environmental, & Marine Sciences Faculty Publications

Transboundary fishery management and the intertwined conservation of critically endangered species represent significant governance challenges that require ongoing inter-organizational communication, collaboration, and collective action to achieve shared objectives. Previous research suggests that inter-organizational collaborative performance depends heavily on different dimensions of trust and complementary control mechanisms to mitigate the perceived risks of collaborating and enable the reciprocal sharing of resources and the coordination of activities. However, it is unclear how proposed relationships between trust, risk, and control are shaped by disruptions to established transboundary management networks. This study presents the results of survey research conducted in the Gulf of Maine …


Effects Of Demineralization Protocols On Hydrogen And Oxygen Isotope Ratios In Fossil Bone Collagen, Linda M. Reynard Nov 2026

Effects Of Demineralization Protocols On Hydrogen And Oxygen Isotope Ratios In Fossil Bone Collagen, Linda M. Reynard

Boise State University Publications and Presentations

The effect of three commonly used preparation protocols on bone collagen δ2H and δ18O values was investigated, using six generally well-preserved faunal bones (cattle, bison, horse) ranging in age from the Holocene to Late Pleistocene. The treatments tested were ethylene diamine tetraacetic acid demineralization without gelatinization and hydrochloric acid demineralization with and without gelatinization. There are significant shifts in δ18O values among preparation methods. No systematic shifts in bone collagen δ2H values were noted among the three treatments, and most offsets were low (< 2–3 ‰) and smaller than typical measurement uncertainties. A few sample/treatment combinations yielded slightly higher inter-treatment δ2H differences (∼ 5–7 ‰). Lower mass fraction of hydrogen in …


A Review Of Gallium And Germanium Recovery From Industrial Solid Residues, Ernest V. Oteng, Marthias Silwamba, Lana Alagha, Alex Luyima Nov 2026

A Review Of Gallium And Germanium Recovery From Industrial Solid Residues, Ernest V. Oteng, Marthias Silwamba, Lana Alagha, Alex Luyima

Mining Engineering Faculty Research & Creative Works

The global demand for critical elements such as gallium (Ga) and germanium (Ge), and the shift toward circular mining has accelerated the development of new extraction and recovery processing these metals from industrial solid residues. This transition is driven by a substantial surge in demand for advanced technologies and the depletion of primary ore. Consequently, industrial solid residues, particularly zinc processing residues, smelter slags, flue dusts, and coal fly ash, are emerging as viable alternative sources. These residues incorporate Ga and Ge through isomorphic substitution in phases such as ferrites, silicates, and glassy aluminosilicates, and are enriched by industrial processes, …


Keyframe Selection From Motion Capture Data With Dual-Agent Reinforcement Learning, Kun Hu, Wang, Clinton Mo, Mingyang Ma, Shaohui Mei, Zebin Chen, Zhiyong Wang Nov 2026

Keyframe Selection From Motion Capture Data With Dual-Agent Reinforcement Learning, Kun Hu, Wang, Clinton Mo, Mingyang Ma, Shaohui Mei, Zebin Chen, Zhiyong Wang

Research outputs 2022 to 2026

Animation production workflows centered around motion capture techniques require animators to edit motions based on a set of keyframes. However, most existing keyframe selection methods are optimization-based, which suffer from the issues of flexibility and efficiency. In this paper, a novel deep reinforcement learning method with dual agents are proposed for unsupervised keyframe selection. First, an S-Agent and an R-Agent evaluate the actions of selection and refinement, respectively. A deep spatio-temporal network, namely graph keyframe evaluation network (GKEN), is proposed for the agents. Then, an animation specified reward is devised based on reconstruction, which fulfills three important properties of the …


Climate Transition Stress Testing For Corporate Credit Risk: A Replicable Data-Mining Pipeline Using Esg Risk Scores, Huynh Long Hung Nguyen, Alan @ Ali Madjelisi Megargel, Rajesh Krishna Balan, Paul Robert Griffin Nov 2026

Climate Transition Stress Testing For Corporate Credit Risk: A Replicable Data-Mining Pipeline Using Esg Risk Scores, Huynh Long Hung Nguyen, Alan @ Ali Madjelisi Megargel, Rajesh Krishna Balan, Paul Robert Griffin

Research Collection School Of Computing and Information Systems

We present a replicable data-mining pipeline for illustrative, scenario-conditioned corporate distress analysis under feature decoupling. The pipeline links Compustat financial statements with Sustainalytics ESG Risk Rating records for 2,144 U.S. non-financial public firms, constructs a standardized Transition Risk Index (TRI), estimates a contemporaneous accounting-distress classifier, and applies transparent transition-cost sensitivities. Distress is defined as annual operating income insufficient to cover annual interest expense; interest coverage itself is excluded from the predictors. The resulting model is not a forward default forecast or a regulatory probability-of-default model. On a held-out cross-sectional test set, the logistic specification obtains AUC 0.909, PR-AUC 0.822, and …


Tiny Large Language Models For Iot Networks: Potentials And Challenges, Muhammed Golec, Suhib Bani Melhem, Yaser Khamayseh, Abdulmalik Alwarafy, Naofal Al-Dhahir Nov 2026

Tiny Large Language Models For Iot Networks: Potentials And Challenges, Muhammed Golec, Suhib Bani Melhem, Yaser Khamayseh, Abdulmalik Alwarafy, Naofal Al-Dhahir

All Works

Large Language Models (LLM), which have gained great momentum in recent years, have revolutionized the field of Artificial Intelligence (AI); while their applicability for hardware-constrained Internet of Things (IoT) environments has begun to be questioned. This has led to the emergence of compact architecture and resource-efficient Tiny LLM models. This survey paper systematically examines Tiny LLMs for IoT networks and classifies existing approaches in five basic dimensions: model architectures, optimization strategies, transfer learning methods, deployment paradigms, and explainability-security integration. By applying the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method, 139 related studies published between 2020 and 2025 …


Semiconductor Supply Chain Risk Monitoring And Forecasting: A Hybrid Big Data Architecture And Empirical Validation, Ming Gong, Sangwhan Cha Nov 2026

Semiconductor Supply Chain Risk Monitoring And Forecasting: A Hybrid Big Data Architecture And Empirical Validation, Ming Gong, Sangwhan Cha

Harrisburg University Other Works

Global semiconductor manufacturing networks are characterized by deep geographical concentration, high capital intensity, and acute vulnerability to regional supply disruptions. While public merchandise trade statistics provide transparent, reproducible empirical records, transforming these raw macroeconomic streams into actionable supply chain risk intelligence requires both rigorous analytical framing and scalable computational architecture. In this paper, we propose an enterprise-grade cloud data architecture designed for semiconductor risk monitoring, combining scheduled distributed batch processing on Google Cloud (Dataproc/PySpark, BigQuery) with an event-driven streaming ingestion lane (Pub/Sub, Dataflow/Apache Beam). To rigorously evaluate the underlying scoring and forecasting logic without premature distributed deployment costs, we implement …


Pattern Formation In Quantum Hierarchical Cellular Neural Networks, Wilson A. Zuniga-Galindo, B. A. Zambrano-Luna, Chayapuntika Indoung Nov 2026

Pattern Formation In Quantum Hierarchical Cellular Neural Networks, Wilson A. Zuniga-Galindo, B. A. Zambrano-Luna, Chayapuntika Indoung

School of Mathematical & Statistical Sciences Faculty Publications

We present a new class of quantum neural networks (QNNs) whose states are solutions of p -adic Schrödinger equations with a non-local potential that controls the interaction between the neurons. These equations are obtained as Wick rotations of the state equations of p -adic cellular neural networks (CNNs). The p -adic CNNs arise as continuous limits of large discrete hierarchical neural networks (NNs). The CNNs are bio-inspired by the Wilson–Cowan model, which describes the macroscopic dynamics of large populations of neurons. We provide a detailed study of the discretization of the new p -adic Schrödinger equations, which allows the construction …


Glomalin-Related Soil Protein In Colluvial Soils As A Proxy For Reconstructing Millenary Changes In Landscape And Soil Health, Axel Werner, Lourdes López-Merino, Joeri Kaal, Cruz Ferro-Vázquez, Oscar Serrano Nov 2026

Glomalin-Related Soil Protein In Colluvial Soils As A Proxy For Reconstructing Millenary Changes In Landscape And Soil Health, Axel Werner, Lourdes López-Merino, Joeri Kaal, Cruz Ferro-Vázquez, Oscar Serrano

Research outputs 2022 to 2026

Glomalin-related soil protein (GRSP) is an operationally defined soil organic matter pool that includes a heat shock protein linked to arbuscular mycorrhizal fungi (AMF) living in symbiosis with most vascular plants and plays a key role in soil health. However, the potential of GRSP as a palaeoecological proxy remains unexplored. We analysed the GRSP content in a North-western Iberian colluvial soil profile encompassing the last 14,000 years. We aimed to 1) identify whether GRSP is preserved, and 2) investigate whether GRSP could be used as a palaeoecological proxy after comparing its record with palynological and pedoanthracological records that account for …


Pentagonal Pdte2 Monolayer For Sustainable Solar-Driven Hydrogen Production, Narender Kumar, Shambhu Bhandari, Dario Alfè, Ravindra Pandey, Nacir Tit Oct 2026

Pentagonal Pdte2 Monolayer For Sustainable Solar-Driven Hydrogen Production, Narender Kumar, Shambhu Bhandari, Dario Alfè, Ravindra Pandey, Nacir Tit

Michigan Tech Publications

This investigation demonstrates that the pentagonal PdTe2 (penta-PdTe2) monolayer is a highly tunable two-dimensional (2D) photocatalyst, characterized by the bandgap of 1.87 eV and high hole mobility. Using density functional theory calculations with the HSE06 functional, we show that tensile strain engineering (particularly at +2% and +3%) is essential for enabling spontaneous water splitting. At these strain values, the valence-band maximum and conduction-band maximum straddle the water redox potentials (H+/H2 and O2/H2O) under both acidic (pH = 0) and neutral (pH = 7) conditions. The monolayer's low hole effective mass facilitates rapid charge extraction, mitigating recombination and driving the oxygen …


Astrophysical Radiative Capture Reaction Rates In Light Nuclei: A Review Of Results From The Modified Potential Cluster Model, S. B. Dubovichenko, B. M. Yeleusheva, A. S. Tkachenko, R. Ya. Kezerashvili Oct 2026

Astrophysical Radiative Capture Reaction Rates In Light Nuclei: A Review Of Results From The Modified Potential Cluster Model, S. B. Dubovichenko, B. M. Yeleusheva, A. S. Tkachenko, R. Ya. Kezerashvili

Publications and Research

A review of results obtained within a single theoretical framework—the Modified Potential Cluster Model (MPCM)—is presented for astrophysical radiative capture reactions involving the lightest and 1p-shell nuclei. The approach has been applied to reactions relevant to the r-process, the CNO and HCNO cycles, and parts of the Big Bang nucleosynthesis (BBN) and post-BBN scenarios. The model incorporates the classification of orbital states according to Young’s diagrams and has been successfully applied to describe the available experimental data on the total cross sections of the radiative capture of neutrons, protons, and the lightest clusters by 40 light nuclei at astrophysical energies. …


Assessor Experiences In Cmmc Level 2 Certification Assessments: An Interpretative Phenomenological Analysis Of Role Expectations, Samuel Heuchert, John Hastings Oct 2026

Assessor Experiences In Cmmc Level 2 Certification Assessments: An Interpretative Phenomenological Analysis Of Role Expectations, Samuel Heuchert, John Hastings

Research & Publications

The Cybersecurity Maturity Model Certification program requires that third-party assessments be conducted under a non-consultative model. The model is intended to ensure impartiality for organizations seeking certification. While this structure defines expectations for assessor behavior, assessor experiences and interpretations of these constraints remain underexamined. The study examines the lived experiences of CMMC-Certified Assessors and how they navigate role expectations within the non-consultative model. Using Role Conflict Theory as a guiding framework, the study applied Interpretative Phenomenological Analysis (IPA) to semi-structured interviews to explore how assessors make sense of their roles. The analysis identified experiential themes that describe how assessors construct …


Resolving Satellite And In Situ Mismatches In Net Primary Production Using High-Frequency In Situ Bio-Optical Observations In The Subpolar Northwest Atlantic, Kitty Warsi Kam, Emmanuel Devred, Stephanie Alam Clay, Mohammad M. Amirian, Andrew J. Irwin, Dariia Atamanchuk, Uwe Send, Douglas W. R. Wallace Oct 2026

Resolving Satellite And In Situ Mismatches In Net Primary Production Using High-Frequency In Situ Bio-Optical Observations In The Subpolar Northwest Atlantic, Kitty Warsi Kam, Emmanuel Devred, Stephanie Alam Clay, Mohammad M. Amirian, Andrew J. Irwin, Dariia Atamanchuk, Uwe Send, Douglas W. R. Wallace

Publications and Research

Net primary productivity (NPP) plays a central role in biological carbon pump (BCP) and global carbon cycling, but NPP estimates in high-latitude regions remain highly uncertain despite their disproportional contribution to the global carbon sink. Previous studies identified discrepancies among satellite- and in situ-derived NPP estimates, but the drivers of disagreement remain poorly resolved due to limited high-frequency observations. Here, we present continuous depth-resolved estimates of in situ NPP from the Central Labrador Sea (56°N) in the subpolar Northwest Atlantic, reconstructed from daily bio-optical profiles collected between May and November 2016, and a 40-year dataset of photosynthesis parameters derived from …


Visualizing The Regression Lines And The Correlation Coefficient For Bivariate Discrete Random Variables Authors, Mamunur Rashid, Jyotirmoy Sarkar Oct 2026

Visualizing The Regression Lines And The Correlation Coefficient For Bivariate Discrete Random Variables Authors, Mamunur Rashid, Jyotirmoy Sarkar

Mathematics Faculty Publications

Sarkar and Rashid (2024) visualized the joint probabilities of two discrete random variables using a 2D disc plot from which they graphically obtained the conditional distributions of 𝑌 given 𝑋=𝑎, and 𝑋 given 𝑌=𝑏; and the marginal distributions of 𝑋, 𝑌, 𝑋+𝑌, 𝑋−𝑌, and 𝑐𝑋+𝑑𝑌. Sarkar and Rashid (2025) visualized the mean, mean deviation, and standard deviation of any discrete random variable using a disc plot. Here, starting with the 2D disc plot, we visualize the correlation coefficient between X and Y, and the linear regression of one variable from the other. Such visualizations help users better comprehend these concepts. …


Summit County, Utah: Changes To Climate, Snowpack, And Wildfire (1979-2025), Scott Hotaling, Gordon O. Gianniny, Joseph D. Birch, Elizabeth Cohen, Kendall Becker Oct 2026

Summit County, Utah: Changes To Climate, Snowpack, And Wildfire (1979-2025), Scott Hotaling, Gordon O. Gianniny, Joseph D. Birch, Elizabeth Cohen, Kendall Becker

All Current Publications

Summit County is climatically unique from the rest of Utah due to its high mean elevation. It’s also economically unique, with world-class ski resorts near working agricultural lands. In this fact sheet, we synthesize how Summit County’s environment is changing, with an emphasis on the last 50 years. We focus on changes in temperature, precipitation, and snowpack; growing season length; and wildfire because of their impacts on the economy, natural resources, and local communities' well-being. Our goal is to support the region's future planning efforts. To that end, we highlight risks to Summit County’s future and opportunities that may arise …


Phenological Flexibility In Nesting Grassland Birds Over A Half Century Informs Timing Of Management, Kristin S. Ellis, Michael J. Anteau, Lawrence D. Igl, Garrett J. Macdonald, Neal D. Niemuth, Aaron T. Pearse, Jill A. Shaffer, Christine A. Ribic, Josh L. Vest, Masanori Abe, Daniel S. Ackerman, Marissa A. Ahlering, Johanna N. Alpert, Anahit Amiri, Kent Andersson, Jacqueline K. Augustine, Kristel K. Bakker, Jeffrey L. Beck, Adam C. Behney, Jacy S. Bernath-Plaisted, Todd R. Bogenschutz, Eric K. Bollinger, Lauren E. Bortolotti, Andy J. Boyce, Jeffrey D. Brawn, Fred C. Bryant, Andrew J. Campomizzi, Jay D. Carlisle, J Matthew Carroll, Rachel Carroll, John P. Carroll, Justin R. Clarke, Michael R. Conover, Reesa Y. Conrey, Jaime J. Coon, Kyle A. Cutting, Stephen K. Davis, Dawn M. Davis, Duane R. Diefenbach, Jonathan B. Dinkins, R Andrew Dreelin, Victoria J. Dreitz, Courtney J. Duchardt, Michael W. Eichholz, Susan N. Ellis-Felege, Kevin S. Ellison, Bradley C. Fedy, Samantha D. Fino, Robert J. Fletcher Jr, Dillon T. Fogarty, Samuel D. Fuhlendorf, Pamela R. Garrettson, Robert J. Gates, Erin L. Gelling, James J. Giacomo, Alex Glass, Cheri L. Gratto-Trevor, Ryan D. Haffele, Christian A. Hagen, Vanessa B. Harriman, Samuel W H Harryman, David A. Haukos, Robert T. Haynam, Heather A. Herakovich, James R. Herkert, Fidel Hernandez, Jason M. Hill, H Jeffrey Homan, Torre J. Hovick, Jonathan A. Jenks, William E. Jensen, Aaron N. Johnston, Sydney-Marie Jones, Carly S. Kelly, Kaylan M. Kemink, Silka L F Kempema, Dylan C. Kesler, Christopher P. Kirol, Robert W. Klaver, Page E. Klug, Jesse L. Kolar, Nicola Koper, Kyle J. Kuechle, Jonathan D. Lautenbach, Zoe M. Lebrun-Southcott, David W. Londe, Scott R. Loss, Cullen M. Mackenzie, Patrick A. Magee, Douglas L. Manzer, John P. Mccarty, Gywm Mckee, Ann E. Mckellar, Lance B. Mcnew, James R. Miller, Megan C. Milligan, Ashlee K. Minor, Rocco J. Murano, Les D. Murray, David E. Naugle, Clayton K. Nielsen, Christopher J. Norment, Sarah B. Ogden, Lindsay A. Parsons, Brian D. Peer, Noah G. Perlut, James C. Pittman, Christopher D. Pollentier, Larkin A. Powell, Aaron C. Pratt, John P. Pulliam, Nancy M. Raginski, Dan R. Reinking, Kaitlyn M. Reintsma, Terry Z. Riley, Kevin M. Ringelman, Joseph R. Robb, Scott K. Robinson, Andres N. Rosales, Charlotte L. Roy, Kayla A. Ruth, Brett K. Sandercock, Kevin K. Sedivec, Steve K. Sherrod, Justin J. Shew, Mason L. Sieges, Jenny L. Sika, Susan K. Skagen, Cassandra G. Skaggs, Joseph Smith, Jennifer A. Smith, Kurt D. Smith, Alex J. Solem, Joshua D. Stafford, Glenn E. Stauffer, Matthew D. Stephenson, Lee Sutcliffe, Amber E. Swicegood, Jason Tack, Evan P. Tanner, Catrina V. Terry, Wendy P. Tori, Ashley M. Unger, Kelly R. Vanbeek, William E. Vetter, Jay A. Vonbank, Brett L. Walker, Michael D. Whitson, Maiken Winter, Kimberly A. With, Donald H. Wolfe, Amy A. Yakel Adams, Benjamin Zuckerberg Oct 2026

Phenological Flexibility In Nesting Grassland Birds Over A Half Century Informs Timing Of Management, Kristin S. Ellis, Michael J. Anteau, Lawrence D. Igl, Garrett J. Macdonald, Neal D. Niemuth, Aaron T. Pearse, Jill A. Shaffer, Christine A. Ribic, Josh L. Vest, Masanori Abe, Daniel S. Ackerman, Marissa A. Ahlering, Johanna N. Alpert, Anahit Amiri, Kent Andersson, Jacqueline K. Augustine, Kristel K. Bakker, Jeffrey L. Beck, Adam C. Behney, Jacy S. Bernath-Plaisted, Todd R. Bogenschutz, Eric K. Bollinger, Lauren E. Bortolotti, Andy J. Boyce, Jeffrey D. Brawn, Fred C. Bryant, Andrew J. Campomizzi, Jay D. Carlisle, J Matthew Carroll, Rachel Carroll, John P. Carroll, Justin R. Clarke, Michael R. Conover, Reesa Y. Conrey, Jaime J. Coon, Kyle A. Cutting, Stephen K. Davis, Dawn M. Davis, Duane R. Diefenbach, Jonathan B. Dinkins, R Andrew Dreelin, Victoria J. Dreitz, Courtney J. Duchardt, Michael W. Eichholz, Susan N. Ellis-Felege, Kevin S. Ellison, Bradley C. Fedy, Samantha D. Fino, Robert J. Fletcher Jr, Dillon T. Fogarty, Samuel D. Fuhlendorf, Pamela R. Garrettson, Robert J. Gates, Erin L. Gelling, James J. Giacomo, Alex Glass, Cheri L. Gratto-Trevor, Ryan D. Haffele, Christian A. Hagen, Vanessa B. Harriman, Samuel W H Harryman, David A. Haukos, Robert T. Haynam, Heather A. Herakovich, James R. Herkert, Fidel Hernandez, Jason M. Hill, H Jeffrey Homan, Torre J. Hovick, Jonathan A. Jenks, William E. Jensen, Aaron N. Johnston, Sydney-Marie Jones, Carly S. Kelly, Kaylan M. Kemink, Silka L F Kempema, Dylan C. Kesler, Christopher P. Kirol, Robert W. Klaver, Page E. Klug, Jesse L. Kolar, Nicola Koper, Kyle J. Kuechle, Jonathan D. Lautenbach, Zoe M. Lebrun-Southcott, David W. Londe, Scott R. Loss, Cullen M. Mackenzie, Patrick A. Magee, Douglas L. Manzer, John P. Mccarty, Gywm Mckee, Ann E. Mckellar, Lance B. Mcnew, James R. Miller, Megan C. Milligan, Ashlee K. Minor, Rocco J. Murano, Les D. Murray, David E. Naugle, Clayton K. Nielsen, Christopher J. Norment, Sarah B. Ogden, Lindsay A. Parsons, Brian D. Peer, Noah G. Perlut, James C. Pittman, Christopher D. Pollentier, Larkin A. Powell, Aaron C. Pratt, John P. Pulliam, Nancy M. Raginski, Dan R. Reinking, Kaitlyn M. Reintsma, Terry Z. Riley, Kevin M. Ringelman, Joseph R. Robb, Scott K. Robinson, Andres N. Rosales, Charlotte L. Roy, Kayla A. Ruth, Brett K. Sandercock, Kevin K. Sedivec, Steve K. Sherrod, Justin J. Shew, Mason L. Sieges, Jenny L. Sika, Susan K. Skagen, Cassandra G. Skaggs, Joseph Smith, Jennifer A. Smith, Kurt D. Smith, Alex J. Solem, Joshua D. Stafford, Glenn E. Stauffer, Matthew D. Stephenson, Lee Sutcliffe, Amber E. Swicegood, Jason Tack, Evan P. Tanner, Catrina V. Terry, Wendy P. Tori, Ashley M. Unger, Kelly R. Vanbeek, William E. Vetter, Jay A. Vonbank, Brett L. Walker, Michael D. Whitson, Maiken Winter, Kimberly A. With, Donald H. Wolfe, Amy A. Yakel Adams, Benjamin Zuckerberg

United States Department of Agriculture Wildlife Services: Staff Publications

The timing of biological events for wildlife species reflects and influences ecological and evolutionary processes and helps guide management actions to meet conservation objectives. Climate change may cause phenological shifts across trophic levels and ecosystems, which can have broad ecological impacts. Shifts may also result in mistiming between management practices based on historical conditions and current biological events, reducing the effectiveness of natural resource management and conservation efforts. We analyzed nesting phenology patterns over recent decades across North America for 44 species of grassland-nesting birds, including waterfowl, upland gamebirds, shorebirds, and passerines, many of which have experienced precipitous population declines. …


Xenoliths In Meteorites: Insights Into The Dynamics Of Material Exchange Between Asteroids, J. Gattacceca, B. Devouard, L. Bonal, Y. Marrocchi, A. Greshake, R. Tartese, M. Gounelle, D. Auyang, C. Sonzogni, M. Hutson, Multiple Additional Authors Oct 2026

Xenoliths In Meteorites: Insights Into The Dynamics Of Material Exchange Between Asteroids, J. Gattacceca, B. Devouard, L. Bonal, Y. Marrocchi, A. Greshake, R. Tartese, M. Gounelle, D. Auyang, C. Sonzogni, M. Hutson, Multiple Additional Authors

School of Earth, Environment, and Society Faculty Publications and Presentations

A minor fraction of meteorites contains xenoliths, that is, clasts that were formed on a different parent body than that of the host lithology. The occurrence of xenoliths is direct evidence for the exchange of material between asteroids, including exchanges between asteroids from the carbonaceous (CC) and non-carbonaceous (NC) reservoirs. Overall xenolith population statistics may therefore inform us about the dynamical mixing of these two asteroid reservoirs. Xenoliths are also intrinsically interesting because they may sample parent bodies that are not represented in the meteorite collection. In this work, we conducted a critical and exhaustive review of xenoliths described in …


Ruins In Reverse: Landscape Painting, Time, And The Galleria At Crystal Run | Srps Fall '26 10/21, Kristopher Benedict Oct 2026

Ruins In Reverse: Landscape Painting, Time, And The Galleria At Crystal Run | Srps Fall '26 10/21, Kristopher Benedict

Sustainability Research & Practice Seminar Presentations

Professor Kristopher Benedict, Art + Design, presents "Ruins in Reverse: Landscape Painting, Time, and the Galleria at Crystal Run".


Agrivoltaics: Combining Food And Solar Power On Agricultural Lands, Dharla Soteros, Kendall Becker, Spencer J. Good, Ngoni Mufute, Matt Yost, Logan Mitchell, Scott Hotaling Oct 2026

Agrivoltaics: Combining Food And Solar Power On Agricultural Lands, Dharla Soteros, Kendall Becker, Spencer J. Good, Ngoni Mufute, Matt Yost, Logan Mitchell, Scott Hotaling

All Current Publications

Utah’s ranchers and farmers face pressure to sell land to developers, conserve water, and manage increasing production costs (Li et al., 2019). One way producers can keep growing food while diversifying and increasing revenue is by integrating agriculture and solar electricity generation on the same land, a practice known as agrivoltaics. In this fact sheet, the authors describe agrivoltaic setup options, summarize agrivoltaics' impacts on livestock and crop production, and discuss implementation economics.


Wilson's Phalarope, A Migratory Bird, Depends On The Declining Great Salt Lake, William Christenson, Kendall Becker, Spencer J. Good, T.J. Clark-Wolf, Scott Hotaling Oct 2026

Wilson's Phalarope, A Migratory Bird, Depends On The Declining Great Salt Lake, William Christenson, Kendall Becker, Spencer J. Good, T.J. Clark-Wolf, Scott Hotaling

All Current Publications

This fact sheet describes how declining water levels and increasing salinity degrade habitat for brine flies and other prey Wilson’s phalaropes rely on. Because human use drives low water levels, changes to water management could reverse the lake’s decline and improve habitat quality for Wilson’s phalaropes and other species that depend on the Great Salt Lake.


Final Quarterly Operations And Maintenance Report: Butte Treatment Lagoon System – First Quarter 2026, Pioneer Technical Services, Inc. Oct 2026

Final Quarterly Operations And Maintenance Report: Butte Treatment Lagoon System – First Quarter 2026, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Proof Of The Wave Function Identity, A New Symmetry Constraint For The Three-Electron Quantum Dot In A Magnetic Field And Ad Hoc Generalization To Bound Many-Electron Systems, Marlina Slamet, Viraht Sahni Oct 2026

Proof Of The Wave Function Identity, A New Symmetry Constraint For The Three-Electron Quantum Dot In A Magnetic Field And Ad Hoc Generalization To Bound Many-Electron Systems, Marlina Slamet, Viraht Sahni

Publications and Research

We prove the Wave Function Identity (WFI), a newly discovered property of solutions to the two-dimensional Schrödinger–Pauli equation for the 𝑁 = 3 electron Coulombically interacting harmonically bound ‘artificial atom’ or quantum dot in a uniform magnetic field. The symmetry is comprised of an interchange of the spatial coordinates of two electrons whilst keeping their spin moments unchanged, followed by an inversion of all three electron coordinates. The proof is achieved by first deriving the general form of the exact correlated wave function in the high-electron-correlation Wigner regime and then proving the WFI employing this form for a ground and …


Operations And Maintenance Report Grove Gulch Sedimentation Bay - Post-Storm 10.13.26 Silver Bow Creek/Butte Area Npl Site – Butte Priority Soils Operable Unit Consent Decree-Civil Action No. Cv 89-039-Bu-She, Josh Bryson Oct 2026

Operations And Maintenance Report Grove Gulch Sedimentation Bay - Post-Storm 10.13.26 Silver Bow Creek/Butte Area Npl Site – Butte Priority Soils Operable Unit Consent Decree-Civil Action No. Cv 89-039-Bu-She, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


Measurements And Analysis Of Light Non-Methane Hydrocarbon Mole Fractions In 1982–1987 At Six Remote Sites Along The Pacific Rim, A. M. Smith, C. L. Butenhoff, M. A. K. Khalil, A. L. Rice Oct 2026

Measurements And Analysis Of Light Non-Methane Hydrocarbon Mole Fractions In 1982–1987 At Six Remote Sites Along The Pacific Rim, A. M. Smith, C. L. Butenhoff, M. A. K. Khalil, A. L. Rice

Physics Faculty Publications and Presentations

Atmospheric non‐methane hydrocarbons (NMHCs) are important trace species with anthropogenic and natural sources including fugitive emissions from fossil fuel mining and distribution, biomass burning, biofuel combustion, and biogenic emissions from microbes and plants. We present previously unpublished whole air sample measurements of NMHCs collected at approximately weekly intervals from 1982 to 1987 at six stations spanning the Northern and Southern hemispheres, which sampled primarily Pacific Basin air masses as determined by back‐trajectory analysis. The four alkanes in this data set, ethane, propane, i‐ and n‐butane had a mean measured mole fraction of 712 ± 22 ppt, 245 ± 13 ppt, …


Carbamate Toxicosis In Carnaby’S Cockatoos (Zanda Latirostris) In A Drying Climate, A Le Souef, Z M. Kissane, David Forshaw, K J. Riley, K Payne, T Hawkins, J Coggins, J M. Shephard, R Vaughn-Higgins, K S. Warren Oct 2026

Carbamate Toxicosis In Carnaby’S Cockatoos (Zanda Latirostris) In A Drying Climate, A Le Souef, Z M. Kissane, David Forshaw, K J. Riley, K Payne, T Hawkins, J Coggins, J M. Shephard, R Vaughn-Higgins, K S. Warren

Climate Science Research Articles

Pesticide exposure poses a growing threat to the health of wild avian populations worldwide. This report documents the first detections of agricultural chemicals in the tissues of wild Carnaby’s cockatoos (Zanda latirostris) in Western Australia. The events, characterised by morbidity and mortality, occurred in a national park near Perth, following periods of elevated summer temperatures over two seasons. Toxicological analysis of liver and digestive tract contents identified multiple pesticides and an herbicide, including methomyl, a highly toxic carbamate insecticide. Hot weather conditions preceding the events potentially increased the cockatoos’ use of alternative water sources for drinking, such as those in …


Restructuring Our Agriculture Industry To Reduce The Eutrophication Of The Great Lakes, Kathryn B. Dunn Oct 2026

Restructuring Our Agriculture Industry To Reduce The Eutrophication Of The Great Lakes, Kathryn B. Dunn

Tredway Library Prize for First-Year Research

No abstract provided.