Digital Commons Network^™

Footprint Tools Tiptoeing Towards Nitrogen Sustainability, James N. Galloway, Elizabeth A. Castner, Elizabeth S M Dukes, Jessica Fox, Allison M. Leach

Faculty Publications

As we face multiple environmental crises (e.g. climate change, nutrient pollution, freshwater scarcity), there is often a disconnect between an entity’s activities and the pollution resulting from that activity. Footprint tools help address this disconnect. They are effective in educating people, institutions and communities on how their resource use results in environmental pollution and what we can do to moderate that pollution. These tools connect an entity’s activities with the associated pollution. Footprint tools are also constantly evolving. As we better understand how to best estimate emissions—especially from sources further removed like those from the supply chain—the guidance and methods …

Footprint Tools Tiptoeing Towards Nitrogen Sustainability, James N. Galloway, Elizabeth A. Castner, Elizabeth S M Dukes, Jessica Fox, Allison M. Leach

Faculty Publications

As we face multiple environmental crises (e.g. climate change, nutrient pollution, freshwater scarcity), there is often a disconnect between an entity’s activities and the pollution resulting from that activity. Footprint tools help address this disconnect. They are effective in educating people, institutions and communities on how their resource use results in environmental pollution and what we can do to moderate that pollution. These tools connect an entity’s activities with the associated pollution. Footprint tools are also constantly evolving. As we better understand how to best estimate emissions—especially from sources further removed like those from the supply chain—the guidance and methods …

Electrochemical Investigation Of Moisture Byproducts In Molten Calcium Chloride, Rankin Shum, Marah Gragun, Tyler Williams, Devin Rappleye

Faculty Publications

Residual water in molten CaCl₂ reacts to form different byproducts, such as HCl, which can impact the corrosivity of the salt and efficiency of electrochemical operations, such as electrolytic oxide reduction and electrorefining. The ability to detect and quantify these byproducts electrochemically can provide feedback on the efficacy of vacuum drying and other purification methods, as well as the impact of these byproducts on process operations. An electrochemical signal’s association with the production of H₂ is verified and characterized using cyclic voltammetry (CV) and residual gas analysis. CV estimated a 2-electron exchange process associated with H2 production. CV …

Beyond Covid: Towards A Transdisciplinary Synthesis For Understanding Responses And Developing Pandemic Preparedness In Alaska, Taylor P. Van Doren, Ryan A. Brown, Guangqing Chi, Patricia Cochran, Katie Cueva, Laura Eichelberger, Ruby Fried, Stacey Fritz, Micah B. Hahn, Ron Heintz, Davin Holen, Andrey N. Petrov

Faculty Publications

Pandemics are regularly occurring events, and there are foundational principles of pandemic preparation upon which communities, regions, states, and nations may draw upon for elevated preparedness against an inevitable future infectious disease threat. Many disciplines within the social sciences can provide crucial insight and transdisciplinary thinking for the development of preparedness measures. In 2023, the National Science Foundation funded a conference of circumpolar researchers and Indigenous partners to reflect on COVID-19-related research. In this article, we synthesise our diverse social science perspectives to: (1) identify potential areas of future pandemic-related research in Alaska, and (2) pose new research questions that …

Outdoor Recreation Shows Promise As An Equitable Context For Youth Informal Stem Learning In Amenity-Rich Rural Areas, Jayson Seaman, Andrew D. Coppens, Cindy Hartman, Amanda Bastoni, Kate Moscouver, Courtney Lachaine, Janet Gronneberg

Faculty Publications

Many state and federal agencies are promoting outdoor recreation as an economic development strategy in natural resource-dependent rural regions of the United States that have experienced sustained divestment and outmigration after the collapse of traditional extractive industries. An underappreciated dimension of these efforts is how to prepare a future workforce from within rural communities that can help develop this diverse and growing sector. This article reports on an intervention delivered to middle and high-school aged youth in a rural area in the northeastern U.S. that examined whether outdoor recreation activities can serve as an accessible context for informal STEM learning. …

Prevailing Issues And Actions In Urban Best Practices Across Latin America And The Caribbean, Fabio Capra-Ribeiro

Faculty Publications

This research examines urban best practices (BPs) across Latin America and the Caribbean to illuminate the prevalent issues and actions associated with these locally implemented initiatives. An analysis of 45 BPs from the UN-Habitat repository was conducted using both quantitative and qualitative methods, organized into three phases. The first phase focused on collecting data such as BP sources, countries of origin, and years of implementation. The second phase identified common problems and actions within the BPs. The third phase involved a cross-sectional analysis to identify significant patterns and trends. The study found that many BPs originated from the Dubai International …

Neuro-Symbolic Ai For Deep Analysis Of Social Media Big Data, Vedant Khandelwal, Manas Gaur, Ugur Kursuncu, Valerie Shalin, Amit P. Sheth

Faculty Publications

This tutorial introduces a neuro-symbolic AI framework to analyze big data from social media platforms. Integrating human-curated knowledge through symbolic AI with the pattern recognition capabilities of neural networks enhances the adaptability and efficiency of traditional neural network approaches. Knowledge-guided zero-shot learning techniques enable swift adaption to new linguistic contexts and emerging events [6]. Participants will explore how to design, develop, and utilize these models in specific domains, such as public health surveillance, that require dynamic adaptation to new terminologies. This session The tutorial aims to equip attendees with practical skills and a deep understanding of how to apply neuro-symbolic …

Returnees’ Perspectives Of The Adverse Impact Of Forced Displacement On Children, Itunu O. Ilesanmi, Jasmine D. Haynes, Florence O. Ogundimu

Faculty Publications

Conflict-related forced displacement, characterized by the experiences of witnessing violent acts, bombing, torture, separation, and the execution of family members, can severely and negatively impact a child’s social determinants of health (SDOH). These experiences are both direct and indirect forms of adverse childhood experiences (ACEs), and urgent attention is needed to understand the impact of forced displacement on children, who are a vulnerable group, and to develop interventions for all systems that influence the child. This phenomenological qualitative study involved in-depth interviews based on the experiences of returnees (n = 20), who are parents of children who experienced forced displacement. …

Malware Classification Through Abstract Syntax Trees And L-Moments, Anthony J. Rose, Christine M. Schubert Kabban, Scott R. Graham, Wayne C. Henry, Christopher M. Rondeau

Faculty Publications

The ongoing evolution of malware presents a formidable challenge to cybersecurity: identifying unknown threats. Traditional detection methods, such as signatures and various forms of static analysis, inherently lag behind these evolving threats. This research introduces a novel approach to malware detection by leveraging the robust statistical capabilities of L-moments and the structural insights provided by Abstract Syntax Trees (ASTs) and applying them to PowerShell. L-moments, recognized for their resilience to outliers and adaptability to diverse distributional shapes, are extracted from network analysis measures like degree centrality, betweenness centrality, and closeness centrality of ASTs. These measures provide a detailed structural representation …

Model Predictive Control Of A Grid-Scale Thermal Energy Storage System In Relap5-3d, Jaron Wallace, John Hedengren, Kody Powell, Matthew Memmott

Faculty Publications

This research delves into the integration and control of a Thermal Energy Storage (TES) system with a Small Modular Reactor (SMR), specifically the NuScale VOYGR SMR module in RELAP5-3D. The research methodology centered on modeling the NuScale VOYGR SMR, a light water pressurized water reactor (LWR) with a power output capacity of 77 MWe per module. The reactor and plant details were sourced from NuScale's final safety analysis report and supplemented by information from the NuScale website. The SMR plays a crucial role in energy generation, and to manage and dispatch the produced energy effectively, a robust storage system …

Coarse-Gridded Simulation Of The Nonlinear Schrödinger Equation With Machine Learning, Benjamin F. Akers, Kristina O. F. Williams

Faculty Publications

A numerical method for evolving the nonlinear Schrödinger equation on a coarse spatial grid is developed. This trains a neural network to generate the optimal stencil weights to discretize the second derivative of solutions to the nonlinear Schrödinger equation. The neural network is embedded in a symmetric matrix to control the scheme’s eigenvalues, ensuring stability. The machine-learned method can outperform both its parent finite difference method and a Fourier spectral method. The trained scheme has the same asymptotic operation cost as its parent finite difference method after training. Unlike traditional methods, the performance depends on how close the initial data …

Grit And The Military Service Member: How Cultivating Grit Enhances Performance, Resilience, And Mental Health, Phillip R. Jenkins

Faculty Publications

The transition from asymmetric warfare to Great Power Competition has brought the role played by Airmen to the forefront of the conversation. When uncontested operations, superior weaponry, and more detailed intelligence are not guaranteed, the weight of victory rests on the shoulders of Airmen. The exploration of grit and the role it plays in the development and sustainment of mental wellness, resilience, and performance has emerged in this context as a linchpin quality. The idea that an inherent drive, determination, and strength of purpose could offset the impact of stress—both combat and noncombat—is deeply compelling. However, leaders cannot look to …

Acclaimed Children's Literature As Global Resources, Sunah Chung, Melanie D. Koss, Kathleen A. Paciga

Faculty Publications

Acclaimed children's books in the United States (U.S.) may be utilized as resources to instruct global issues. As children’s literature reflects social context and values, acclaimed books may provide curricular materials for those within the U.S. and to international audiences. Stakeholders, including librarians, teachers, national industry experts, and parents, are among those who review and award prizes to children’s literature. This work has resulted in booklists teachers, families, and librarians use to guide their book purchasing and sharing practices. We investigate the histories, composition, and criteria for 22 award and acclaimed U.S. children’s book lists containing 4,244 titles. Fewer than …

A Panel Data Regression Model For Defense Merger And Acquisition Activity, Corey D. Mack, Clay Koschnick, Michael Brown, Jonathan D. Ritschel, Brandon M. Lucas

Faculty Publications

Excerpt: This paper examines the relationship between a prime contractor's financial health and its mergers and acquisitions (M&A) spending in the defense industry. It aims to provide models that give the United States Department of Defense (DoD) indications of future M&A activity, informing decision-makers and contributing to ensuring competitive markets that benefit the consumer.

The results show a significant relationship between efficiency and M&A spending, indicating that companies with lower efficiency tend to spend more on M&As. However, there was no significant relationship between M&A spending and a company's profitability or solvency. These results were consistent with previous research and …

Formation And Microwave Losses Of Hydrides In Superconducting Niobium Thin Films Resulting From Fluoride Chemical Processing, Carlos G. Torres-Castanedo, Dominic P. Goronzy, Thang Pham, Anthony Mcfadden, Nicholas Materise, Paul Masih Das, Matthew Cheng, Dmitry Lebedev, Stephanie M. Ribet, Mitchell J. Walker, David A. Garcia-Wetten, Cameron J. Kopas, Jayss Marshall, Ella Lachman, Nikolay Zhelev, James A. Sauls, Joshua Y. Mutus, Corey Rae H. Mcrae, Vinayak P. Dravid, Michael J. Bedzyk, Mark C. Hersam

Faculty Publications

Superconducting niobium (Nb) thin films have recently attracted significant attention due to their utility for quantum information technologies. In the processing of Nb thin films, fluoride-based chemical etchants are commonly used to remove surface oxides that are known to affect superconducting quantum devices adversely. However, these same etchants can also introduce hydrogen to form Nb hydrides, potentially negatively impacting microwave loss performance. Here, comprehensive materials characterization of Nb hydrides formed in Nb thin films as a function of fluoride chemical treatments is presented. In particular, secondary-ion mass spectrometry, X-ray scattering, and transmission electron microscopy reveal the spatial distribution and phase …

Early Preclinical Studies Of Ergosterol Peroxide And Biological Evaluation Of Its Derivatives, Taotao Ling, Luz V. Arroyo-Cruz, William R. Smither, Emily K. Seighman, Michelle M. Martínez-Montemayor, Fatima Rivas

Faculty Publications

Ganoderma lucidum is a medicinal mushroom that produces various pharmacological compounds, including triterpenoids. A major bioactive component of G. lucidum is ergosterol peroxide (EP), which is attributed to its anticancer effects. The current study focuses on the in vitro ADME (absorption, distribution, metabolism, and elimination), in vivo efficacy and toxicity of EP, and the synthesis of new EP derivatives to improve aqueous solubility. It was found that EP is metabolically stable in liver microsomes and plasma. In vivo studies showed that EP inhibits tumor growth in murine cancer models, and it is well tolerated by mice. The maximum tolerated dose …

Boosting Steam Tolerance And Electrochemical Performance Of An La0.6Sr0.4Co0.2,Fe0.8O3− Δ-Based Air Electrode For Protonic Ceramic Electrochemical Cells, Lei Wu, Jiqiang Sun, Huiyang Qi, Baofeng Tu, Chunyan Xiong, Fanglin Chen, Peng Qiu

Faculty Publications

La_0.6Sr_0.4Co_0.2Fe_0.8O_3−δ (LSCF) is the state-of-the-art air electrode material for solid oxide electrochemical cells using oxide-ion electrolytes, yet its application in proton ceramic electrochemical cells (PCCs) remains limited, mainly attributed to its instability under operating conditions of high temperature and high humidity. To address this issue, coating a PrCoO_3−δ (PCO) catalyst onto the LSCF scaffold has been evaluated in this study. The introduction of the PCO coating not only enhances the LSCF electrode's electrochemical performance but also significantly improves its steam tolerance by preventing direct contact between steam and …

The Past And Future Of The Fisheries And Marine Ecosystem Model Intercomparison Project, Camilla Novaglio, Andrea Bryndum-Buchholz, Derek P. Tittensor, Tyler D. Eddy, Heike K. Lotze, Cheryl S. Harrison, Ryan F. Heneghan, Olivier Maury, Kelly Ortega-Cisneros, Colleen M. Petrik, Kelsey E. Roberts, Julia L. Blanchard

Faculty Publications

Climate change is increasingly affecting the world's ocean ecosystems, necessitating urgent guidance on adaptation strategies to limit or prevent catastrophic impacts. The Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP) is a network and framework that provides standardised ensemble projections of the impacts of climate change and fisheries on ocean life and the benefits that it provides to people. Since its official launch in 2013 as a small, self-organized project within the larger Inter-Sectoral Impact Model Intercomparison Project, the FishMIP community has grown substantially and contributed to key international policy processes, such as the Intergovernmental Panel on Climate Change Assessment …

Proximal Sensor Characterization Of Haitian Agricultural Soils: A Case Study In The Central Plateau, Reginald Cean, Marcelo Mancini, Sérgio Henrique Godinho Silva, Noura Bakr, Somsubhra Chakraborty, Bin Li, Autumn Acree, Lúcia Helena Cunha Dos Anjos, Nilton Curi, David C. Weindorf

Faculty Publications

Optimized agronomic production is vital to life and livelihood in Haiti. As such, rapid, low-cost soil characterization may inform specific decision making for improved crop production. Ahead of a larger soil characterization campaign (120,000 points) in Eastern Haiti, this study evaluated the use of two proximal sensors (portable X-ray fluorescence – pXRF; NixPro color sensor) at farms of Association Zanmi Agrikol (AZA) for soil characterization and evaluation of spatial variability of soil properties. Analysis of 166 surface soil samples (0–5 cm) collected in three different areas revealed that similar inter-elemental associations reported in other countries remain applicable in Haiti; weak, …

Review Of Book Of George, Michael F. Russo

Faculty Publications

No abstract provided.

Too Sensitive Or Not Sensitive Enough? Sensitivity To Context And Justice-Involved Youths' Response To Violence Exposure, Colleen Sbeglia, Curtis Donovyn Smith, Paul J. Frick, Laurence Steinberg, Elizabeth Cauffman

Faculty Publications

With high rates of violence exposure among justice-involved youth, it is critical to identify factors that might impact the likelihood of youth engaging in violence themselves. One such factor is sensitivity to context, which describes how sensitive youth are to experiences in their environment. Using an ethnically diverse sample of justice-involved male adolescents (47% Latino, 38% Black/African American, 15% White) aged 13-17 at the time of their first arrest, the results of this study indicate that exposure to violence was related to increased violent behavior six months later, and this effect was strongest among youth who were low in sensitivity …

High-Resolution Elemental Abundance Measurements Of Cool Jwst Planet Hosts Using Autospecfit: An Application To The Sub-Neptune K2-18b’S Host M Dwarf, Neda Hejazi, Ian J.M. Crossfield, Diogo Souto, Jonathan Brande, Thomas Nordlander, Emilio Marfil, Katia Cunha, David R. Coria, Zachary G. Maas, Alex S. Polanski, Natalie R. Hinkel, Joseph E. Hand

Faculty Publications

We present an in-depth, high-resolution spectroscopic analysis of the M dwarf K2-18, which hosts a sub-Neptune exoplanet in its habitable zone. We show our technique to accurately normalize the observed spectrum, which is crucial for a proper spectral fitting. We also introduce a new automatic, line-by-line, model-fitting code, AutoSpecFit, which performs an iterative χ ² minimization process to measure individual elemental abundances of cool dwarfs. We apply this code to the star K2-18, and measure the abundance of 10 elements: C, O, Na, Mg, Al, K, Ca, Sc, Ti, and Fe. We find these abundances to be moderately supersolar, except …

Far From Their Origins: A Transcriptomic Investigation On How 2,4-Di-Tert-Butyl-6-(5-Chloro-2h-Benzotriazol-2-Yl) Phenol Affects Rainbow Trout Alevins, Andreas N.M. Eriksson, Justin Dubiel, Alper James Alcaraz, Jon A. Doering, Steve Wiseman

Faculty Publications

Benzotriazole ultraviolet stabilizers (BUVSs) are a group of widely used chemicals added to a variety of consumer (e.g., plastics) and industrial (e.g., metal coating) goods. Although detected globally as an environmentally persistent pollutant, BUVSs have received relatively little toxicological attention and only recently have been acknowledged to affect development and the endocrine system in vivo. In our previous study, altered behavior, indicative of potential neurotoxicity, was observed among rainbow trout alevins (day 14 posthatching) that were microinjected as embryos with a single environmentally relevant dose of 2,4-di-tert-butyl–6-(5-chloro-2H-benzotriazol-2-yl) phenol (UV-327). In the present follow-up study, we performed whole-transcriptome profiling (RNA sequencing) …

Discarded Vehicle Tires And Their Association With Mosquito Vector Abundance Across Socioenvironmental Gradients In New Orleans, La, Rebeca De Jesús Crespo, Alexandros Pavlakis, Jennifer Breaux, Claudia Riegel

Faculty Publications

Discarded vehicle tires serve as habitat for mosquito vectors. In New Orleans, Louisiana, discarded tires are an increasingly important public concern, especially considering that the city is home to many medically important mosquito species. Discarded tires are known to be associated with mosquito abundance, but how their presence interacts with other socioenvironmental gradients to influence mosquito ecology is poorly understood. Here, we ask whether discarded tire distribution could be explained by social factors, particularly median income, home vacancy and human population density, and whether these factors interact with urban heat islands (UHI) to drive mosquito vector assemblages. We surveyed tire …

On The Injectivity Of The Shifted Funk–Radon Transform And Related Harmonic Analysis, Boris Rubin

Faculty Publications

Necessary and sufficient conditions are obtained for injectivity of the shifted Funk–Radon transform associated with k-dimensional totally geodesic submanifolds of the unit sphere Sⁿ in ℝⁿ⁺¹. This result generalizes the well known statement for the spherical means on Sⁿ and is formulated in terms of zeros of Jacobi polynomials. The relevant harmonic analysis is developed, including a new concept of induced Stiefel (or Grassmannian) harmonics, the Funk–Hecke type theorems, addition formula, and multipliers. Some perspectives and conjectures are discussed.

Observations Of Low And Intermediate Spectral Peak Blazars With The Imaging X-Ray Polarimetry Explorer, Herman L. Marshall, Ioannis Liodakis, Alan P. Marscher, Niccolò Di Lalla, Svetlana G. Jorstad, Dawoon E. Kim, Riccardo Middei, Michela Negro, Nicola Omodei, Abel L. Peirson, Matteo Perri, Simonetta Puccetti, Marco Laurenti, Iván Agudo, Giacomo Bonnoli, Andrei V. Berdyugin, Elisabetta Cavazzuti, Nicole Rodriguez Cavero, Immacolata Donnarumma, Laura Di Gesu, Jenni Jormanainen, Henric Krawczynski, Elina Lindfors, Greg Madjeski, Frédéric Marin, Francesco Massaro, Luigi Pacciani, Juri Poutanen, Fabrizio Tavecchio, Pouya M. Kouch, Francisco José Aceituno, Maria I. Bernardos, Víctor Casanova

Faculty Publications

We present X-ray polarimetry observations from the Imaging X-ray Polarimetry Explorer (IXPE) of three low spectral peak and one intermediate spectral peak blazars, namely 3C 273, 3C 279, 3C 454.3, and S5 0716+714. For none of these objects was IXPE able to detect X-ray polarization at the 3σ level. However, we placed upper limits on the polarization degree at ∼10%-30%. The undetected polarizations favor models where the X-ray band is dominated by unpolarized photons upscattered by relativistic electrons in the jets of blazars, although hadronic models are not completely eliminated. We discuss the X-ray polarization upper limits in the context …

The Structure Of The Sufs–Sufe Complex Reveals Interactions Driving Protected Persulfide Transfer In Iron-Sulfur Cluster Biogenesis, Rajleen K. Gogar, Nidhi Chhikara, Minh Vo, Nathaniel C. Gilbert, Jack A. Dunkle, Patrick A. Frantom

Faculty Publications

Fe-S clusters are critical cofactors for redox chemistry in all organisms. The cysteine desulfurase, SufS, provides sulfur in the SUF Fe-S cluster bioassembly pathway. SufS is a dimeric, pyridoxal 5'-phosphate-dependent enzyme that uses cysteine as a substrate to generate alanine and a covalent persulfide on an active site cysteine residue. SufS enzymes are activated by an accessory transpersulfurase protein, either SufE or SufU depending on the organism, which accepts the persulfide product and delivers it to downstream partners for Fe-S assembly. Here, using Escherichia coli proteins, we present the first X-ray crystal structure of a SufS/SufE complex. There is a …

Reconstructive Evolutionary Morphology: Tracing The Historical Process Of Modifications Of Complex Systems Driven By Natural Selection Through Changing Ecological Conditions, Dominique G. Homberger

Faculty Publications

There is general consensus among evolutionary biologists that natural selection drives phenotypic modifications within populations over generational time. How to reconstruct this historical process, however, has been discussed mostly in theoretical terms, and recommendations and explanations on how to translate such theoretical insights into practice are needed. The present study aims at providing a theory-supported practical guide on how to reconstruct historical evolutionary processes by applying a morphology-centered approach through a series of interdependent steps of descriptive morphology, functional analysis, ecological observation, integration of paleoecological data, and evolutionary synthesis. Special attention is given to the development of tests regarding the …

The K-Profile Parameterization Augmented By Deep Neural Networks (Kpp_Dnn) In The General Ocean Turbulence Model (Gotm), Jianguo Yuan, Jun Hong Liang, Eric P. Chassignet, Olmo Zavala-Romero, Xiaoliang Wan, Meghan F. Cronin

Faculty Publications

This study utilizes Deep Neural Networks (DNN) to improve the K-Profile Parameterization (KPP) for the vertical mixing effects in the ocean's surface boundary layer turbulence. The deep neural networks were trained using 11-year turbulence-resolving solutions, obtained by running a large eddy simulation model for Ocean Station Papa, to predict the turbulence velocity scale coefficient and unresolved shear coefficient in the KPP. The DNN-augmented KPP schemes (KPP_DNN) have been implemented in the General Ocean Turbulence Model (GOTM). The KPP_DNN is stable for long-term integration and more efficient than existing variants of KPP schemes with wave effects. Three different KPP_DNN schemes, each …

First-Order Comprehensive Adjoint Sensitivity Analysis Methodology For Neural Ordinary Differential Equations: Mathematical Framework And Illustrative Application To The Nordheim–Fuchs Reactor Safety Model, Dan Gabriel Cacuci

Faculty Publications

This work introduces the mathematical framework of the novel “First-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Neural Ordinary Differential Equations” (1st-CASAM-NODE) which yields exact expressions for the first-order sensitivities of NODE decoder responses to the NODE parameters, including encoder initial conditions, while enabling the most efficient computation of these sensitivities. The application of the 1st-CASAM-NODE is illustrated by using the Nordheim–Fuchs reactor dynamics/safety phenomenological model, which is representative of physical systems that would be modeled by NODE while admitting exact analytical solutions for all quantities of interest (hidden states, decoder outputs, sensitivities with respect to all parameters and initial conditions, …