Digital Commons Network^™

Urbanization Impacts Dissolved Organic Matter Concentration And Quality In A Southeastern United States Watershed, Gwendolyn M. Hopper, Erik M. Smith, Jade Dormoy-Boulanger, Claudia R. Benitez-Nelson

Faculty Publications

Blackwater rivers are named due to their exceptionally high concentrations of chromophoric dissolved organic matter (CDOM). They are the predominant lotic ecosystem in the United States Southeastern Coastal Plain, a region experiencing some of the nation’s highest rates of development. This study assessed variability in DOM concentration and composition across forested to urbanized blackwater systems in coastal South Carolina, U.S. Dissolved organic carbon and nutrient concentrations as well as absorbance and fluorescence optical properties reveal that urban sites have lower concentrations, elemental ratios, and less complex DOM. In contrast, forested blackwater sites have concentrations an order of magnitude higher, elevated …

The Zintl Pnictides Yb10cdsb9 And Yb14cdsb11: New Candidate Thermoelectric Materials, Michael O. Ogunbunmi, Kowsik Ghosh, Connor Donnelly, Sviatoslav Baranets, Svilen Bobev

Faculty Publications

The synthesis of new materials is the lifeline of solid-state science, and it continues to offer us unique opportunities for testing various theoretical formulations and models on a practical material. Such an avenue, therefore, provides a breeding ground for technological innovations and advancements that can completely revolutionize our world. Here, we report the results of our exploratory syntheses in the Yb-Cd-Sb compositional space that lead to the identification of two new Zintl antimonides, namely, Yb10CdSb9 and Yb14CdSb11. Their crystal structures were established via single-crystal X-ray diffraction methods; the basic electronic and transport properties of the new materials were also characterized. …

Changes In Foliar Chemistry And Nutrient Resorption In Northern Hardwood Forests In Response To Long-Term Experimental Nitrogen And Phosphorus Addition, Jenna M. Zukswert, Timothy J. Fahey, Matthew A. Vadeboncoeur, Daniel S. Hong, Ruth D. Yanai

Faculty Publications

Northern hardwood forests have long been assumed to be primarily nitrogen limited, but may often be co-limited by multiple elements. Nutrient limitation can be inferred through responses of foliar and litter chemistry to nutrient addition over time. We compared community-level foliar and litter chemistry and resorption efficiency in a long-term, factorial nitrogen (N) and phosphorus (P) fertilization study across 10 forest stands at three sites in New Hampshire, where N and P were added annually. We measured N, P, calcium (Ca), magnesium (Mg), and potassium (K) in foliage from codominant trees and in fresh litter in 2008–2010 (pretreatment) and again …

Legal Residency Status And Its Relationship With Health Indicators Among Syrian Refugees In Lebanon: A Nested Cross-Sectional Study, Marie-Elizabeth Ragi, Hala Ghattas Ph.D., Berthe Abi Zeid, Hazar Shamas, Noura Joseph El Salibi, Sawsan Abdulrahim, Jocelyn Dejong, Stephen J. Mccall, The Caep Study Group

Faculty Publications

Background Failure to possess or renew legal residency permits increases the burden on a vulnerable refugee population. It risks detention or deportation, and hinders access to basic services including healthcare. This study aimed to examine the association between legal residency status and health of Syrian refugees living in Lebanon.

Methods Data were from two independent nested cross-sectional studies collected in 2022 through telephone surveys. In the first study, all Syrian refugees aged 50 years or older from households that received humanitarian assistance were invited to participate. The second included all adult Syrian refugees residing in a suburb of Beirut. The …

Predicting Diabetes Self-Management Education Engagement: Machine Learning Algorithms And Models, Xiangxiang Jiang, Gang Lv, Minghui Li, Jing Yuan, Z Kevin Lu

Faculty Publications

Introduction Diabetes self-management education (DSME) is endorsed by the American Diabetes Association (ADA) as an essential component of diabetes management. However, the utilization of DSME remains limited in the USA. This study aimed to investigate current DSME participation among the older population and to identify comprehensive factors of DSME engagement through employing various machine learning (ML) models based on a US nationally representative survey linked to claims data.

Research design and methods Data from the Medicare Current Beneficiary Survey were employed, and this study included data on US Medicare beneficiaries with diabetes from 2017 to 2019. Comprehensive variables following the …

Toward Quantifying Interpolation Uncertainty In Set-Line Spacing Hydrographic Surveys, Elias Adediran, Christos Kastrisios, Kim Lowell, Glen Rice, Qi Zhang

Faculty Publications

The oceans remain one of Earth’s last great unknowns, with about 74% still unmapped to modern standards. Consequently, interpolation is employed to create seamless digital bathymetric models (DBMs) from incomplete hydrographic datasets, but this introduces unquantified depth uncertainties. This study aims to estimate and characterize uncertainties arising from set-line spacing hydrographic surveys, which are important for nautical charting, navigational safety, and many other applications. By sampling at different line spacings four complete coverage testbeds that vary in slope and roughness, the study interpolates across entire testbed areas using Spline, Inverse Distance Weighting, and Linear interpolation. The resulting interpolation uncertainties are …

Modeling Actinic Flux And Photolysis Frequencies In Dense Biomass Burning Plumes, Jan-Lukas Tirpitz, Santo Fedele Colosimo, Nathaniel Brockway, Robert Spurr, Matt Christi, Samuel Hall, Kirk Ullmann, Johnathan Hair, Taylor Shingler, Rodney Weber, Jack E. Dibb, Richard Moore, Elizabeth Wiggins, Vijay Natraj, Nicolas Theys, Jochen Stutz

Faculty Publications

Biomass burning (BB) affects air quality and climate by releasing large quantities of gaseous and particulate pollutants into the atmosphere. Photochemical processing during daylight transforms these emissions, influencing their overall environmental impact. Accurately quantifying the photochemical drivers, namely actinic flux and photolysis frequencies, is crucial to constraining this chemistry. However, the complex radiative transfer within BB plumes presents a significant challenge for both direct observations and numerical models.

This study introduces an expanded version of the 1D VLIDORT-QS radiative transfer (RT) model, named VLIDORT for photochemistry (VPC). VPC is designed for photochemical and remote sensing applications, particularly in BB plumes …

Million-Dollar Mysteries: Recent Complex Patent Cases Lost To Rule 36, Dennis D. Crouch

Faculty Publications

This article examines the Federal Circuit's continued use of Rule 36 summary affirmances to dispose of complex patent cases without written opinions. Through analysis of eight recent Rule 36 cases decided in early 2025, the author demonstrates that sophisticated legal issues involving millions of dollars are being summarily affirmed despite presenting novel and important questions of patent law. The cases discussed involve design patent evidentiary standards, jury trial rights for hybrid legal-equitable claims, analogous art determinations, claim construction, written description requirements, and PTAB procedural issues. The author argues that while the court may be avoiding difficult cases with complex factual …

Joyful Justice, Alexandra Kogl

Faculty Publications

Political Science is not an obviously joyful discipline, and wrestling with injustice in the classroom is not an intuitive way to open the door to joy. But when students and professor alike practice compassion for victims of injustices (such as sexual violence and white supremacy) and for each other, they sometimes find the kind of common ground that allows joy into the room. Treating one another as peers in a community aimed at seeking to understand what justice is and what it feels like, we experience justice as beautiful, shared work that we can practice at a small scale, setting …

Convergent Close-Coupling Approach To Electron Impact Dissociation Of The Polyatomic Molecule H 3 + And Its Isotopologues, Reese K. Horton, Michael V. Pak, Igor Bray, Dmitry V. Fursa

Faculty Publications

Cross sections for electron impact dissociative excitation and ionization in scattering on vibrationally excited levels of the ground electronic state of H₃⁺ and its isotopologues are reported in the energy range of 8 to 1000 eV. Calculations have been performed using a newly developed version of the molecular convergent close-coupling code. Cross sections for total dissociative excitation, ionization yielding atomic fragments such as D⁺, and the total inelastic cross section are presented. Good agreement with available experiments has been demonstrated.

Convergent Close-Coupling Approach To Electron Scattering On H3+ : Scattering Dynamics And Dissociative Processes, Reese K. Horton, Michael V. Pak, Igor Bray, Dmitry V. Fursa

Faculty Publications

Cross sections for electron impact dissociative excitation and ionization in scattering on vibrationally excited levels of the ground electronic state of H₃⁺, D₃⁺, and T₃⁺ are reported in the energy range of 8–1000 eV. Calculations have been performed using a newly developed version of the molecular convergent close-coupling code. Convergence of the cross sections with the size of the projectile partial-wave and close-coupling expansions is examined. Branching ratios and cross sections for the yields of D₂⁺ and D⁺ from dissociative excitation of D₃⁺ are presented and isotope …

Si-Doped Ain Using Pulsed Metalorganic Chemical Vapor Deposition And Doping, Tariq Jamil, Abdullah Al Mamun Mazumder, Mohammod Ali, Jingyu Lin, Hongxing Jiang, Grigory Simin, M. Asif Khan

Faculty Publications

In this paper we describe a pulsed metalorganic chemical vapor deposition (MOCVD) Si-doping approach for AlN epilayers over bulk AlN. The Al-rich growth/doping conditions in the pulsed MOCVD process resulted in n-AlN layers with transmission line model currents that were an order higher than for structures on layers that were grown/doped at identical temperatures using the conventional MOCVD process. Our work demonstrated that like the other reported approaches such as UV exposure during growth, the pulsed MOCVD process is also very effective in reducing point defects by the defect quasi-Fermi level-chemical potential control.

Accelerated Multiobjective Calibration Of Fused Deposition Modeling 3d Printers Using Multitask Bayesian Optimization And Computer Vision, Craig S. Ganitano, Benji Maruyama, Gilbert L. Peterson

Faculty Publications

Proper process parameter calibration is critical to the success of fused deposition modeling (FDM) three-dimensional (3D) printing, but is time-consuming and requires expertise. While existing systems for autonomous calibration have demonstrated success in calibrating for a single objective, users may need to balance multiple conflicting objectives. Herein, an easily deployable, camera-based system for autonomous calibration of FDM printers that optimizes for both part quality and completion time is presented. Autonomous calibration is achieved through a novel, multifaceted computer vision characterization and a multitask learning extension to Bayesian optimization. The system is demonstrated on four popular filament types using two distinct …

Empowering Sustainable Development: Solar Energy For Enhanced Weather Resilience, Aly Mousaad Aly

Faculty Publications

This paper examines the impact of photovoltaic (PV) panels on wind loads in low-rise buildings with gable roofs, emphasizing their potential to promote sustainable energy solutions while improving structural integrity. We hypothesize that PV panels can effectively reduce wind-induced forces on roofing components. Experiments using a 1:7.5 scale model in an open-jet wind facility compared bare roofs to those equipped with PV panels across three configurations. Results show that PV panels can decrease total wind forces on the roof by 45% to 63%, depending on configuration and wind direction. These findings suggest that additional structural reinforcement may not be necessary …

Variations In Hawaiian Plume Flux Controlled By Ancientmantle Depletion, Paul Béguelin, Andreas Stracke, Maxim D. Ballmer, Shichen Huang, Michael Wilig, Michael Bizimis

Faculty Publications

Mantle plumes—upwellings of buoyant rock in Earth's mantle—feed hotspot volcanoes such as Hawai‘i. The size of volcanoes along the Hawai‘i–Emperor chain, and thus the magma flux of the Hawaiian plume, has varied over the past 85 million years. Fifteen and two million years ago, rapid bursts in magmatic production led to the emergence of large islands such as Pūhāhonu, Maui Nui and Hawai‘i, but the underlying mechanisms remain enigmatic. Here, we use new radiogenic Ce–Sr–Nd–Hf isotope data of Hawaiian shield lavas to quantify the composition and proportion of the different constituents of the Hawaiian plume over time. We find that …

An Integrated Global-To-Regional Scale Workflow For Simulating Climate Change Impacts On Marine Ecosystems, Kelly Ortega-Cisneros, Denisse Fierros-Arcos, Max Lindmark, Camilla Novaglio, Phoebe Woodworth-Jefcoats, Tyler D. Eddy, Marta Coll, Elizabeth Fulton, Ricardo Oliveros-Ramos, Jonathan Reum, Yunne Jai Shin, Cathy Bulman, Leonardo Capitani, Samik Datta, Kieran Murphy, Alice Rogers, Lynne Shannon, George A. Whitehouse, Ezekiel Adekoya, Beatriz S. Dias, Alba Fuster-Alonso, Cecilie Hansen, Bérengère Husson, Vidette Mcgregor, Alaia Morell, Hem Nalini Morzaria Luna, Jazel Ouled-Cheikh, James Ruzicka, Jeroen Steenbeek, Ilaria Stollberg, Roshni C. Subramaniam, Vivitskaia Tulloch, Andrea Bryndum-Buchholz

Faculty Publications

As the urgency to evaluate the impacts of climate change on marine ecosystems increases, there is a need to develop robust projections and improve the uptake of ecosystem model outputs in policy and planning. Standardizing input and output data is a crucial step in evaluating and communicating results, but can be challenging when using models with diverse structures, assumptions, and outputs that address region-specific issues. We developed an implementation framework and workflow to standardize the climate and fishing forcings used by regional models contributing to the Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP) and to facilitate comparative analyses across …

What's The Matter With Batna? It's Misleading And Doesn't Help Advance Parties' Important Interests, John Lande

Faculty Publications

Many dispute resolution experts misunderstand the concept of BATNA (the best alternative to a negotiated agreement), believing that it is the most favorable possible outcome if the parties don’t settle. In fact, BATNA isn’t an expected result. It’s a course of action, not the value resulting from the course of action.

Attorneys often make unrealistic predictions of court outcomes because of inherent uncertainty and cognitive biases. Moreover, parties have many intangible interests that aren’t included in estimates of BATNA values.

This article offers suggestions for attorneys and mediators to advance clients’ interests by better understanding and valuing non-settlement outcomes.

Guardrails Needed For Social Science Research, James G. Dwyer

Faculty Publications

In an article written for a legal audience, The Most Dangerous Branch of Science?: Reining in Rogue Research and Reckless Experimentation in Social Welfare, (Dwyer, 2022), I illustrated this phenomenon by describing what has happened in the child welfare world in recent decades. In the article, I recommend legal reforms to address the problems, including mandating a more robust IRB [institutional review board] review, broadening the concept of unethical research, treating policy experimentation as research subject to ethical rules, and authorizing lawsuits against those who purchase or conduct intentionally skewed studies that result in harmful policy innovations. I offer here …

Defect Bound States In The Continuum Of Bilayer Electronic Materials Without Symmetry Protection, Daniel Massatt, Stephen P. Shipman, Ilya Vekhter, Justin H. Wilson

Faculty Publications

We analyze a class of bound defect states in the continuum electronic spectrum of bilayer materials, which emerge independent of symmetry protection or additional degrees of freedom. Taking graphene as a prototypical example, our comparative analysis of AA- and AB-stacked bilayer graphene demonstrates that these states originate from the intrinsic algebraic structure of the tight-binding Hamiltonian when trigonal warping is neglected rather than any underlying symmetry. The inclusion of trigonal warping and higher-order hoppings broadens the bound states into long-lived resonances. This discovery provides a distinct pathway to defect and band-structure engineering. We conclude with a proposed protocol for observing …

Extragalactic Magnetar Giant Flare Grb 231115a: Insights From Fermi /Gbm Observations, Aaron C. Trigg, Rachael Stewart, Alex Van Kooten, Eric Burns, Matthew G. Baring, Dmitry D. Frederiks, Daniela Huppenkothen, Brendan O-Connor, Oliver J. Roberts, Zorawar Wadiasingh, George Younes, Narayana Bhat, Michael S. Briggs, Malte Busmann, Adam Goldstein, Daniel Gruen, Lei Hu, Chryssa Kouveliotou, Michela Negro, Antonella Palmese, Arno Riffeser, Lorenzo Scotton, Dmitry S. Svinkin, Peter Veres, Raphael Zöller

Faculty Publications

Magnetar giant flares (MGFs) are the extremely short, energetic transients originating from highly magnetized neutron stars. When observed in nearby galaxies, these rare events are nearly indistinguishable from cosmological short gamma-ray bursts. We present the analysis of GRB 231115A, a candidate extragalactic MGF observed by Fermi/GBM and localized by INTEGRAL to the starburst galaxy M82. This burst exhibits distinctive temporal and spectral characteristics, including a short duration and a high peak energy, consistent with known MGFs. Time-resolved analysis reveals rapid spectral evolution and a clear correlation between luminosity and spectral hardness, providing robust evidence of relativistic outflows. Archival Chandra data …

Beyond Water Surface Profiles: A New Iterative Methodology For 2d Model Calibration In Rivers Using Velocity Data From Multiple Cross-Sections, Fabian Rivera-Trejo, Gabriel Soto-Cortes, Kory M. Konsoer, Eddy J. Langendoen, Gaston Priego-Hernandez

Faculty Publications

Observed longitudinal water-surface profiles are commonly used to calibrate river hydrodynamic models, relying on assumptions of lateral uniformity in water surface elevation and velocity distribution. While suitable for 1D models, this approach has limitations in regard to 2D model calibration. When 2D flow measurements are available, a more robust quantitative evaluation is necessary to assess model accuracy. This study introduces a novel methodology to improve 2D model calibration and evaluate performance. High-resolution bathymetric and hydrodynamic data collected with a multibeam echosounder (MBES) and acoustic Doppler current profiler (ADCP) were aligned to compare observed and simulated flow velocities at matching spatial …

Counseling Students’ Perceptions Of Support During The Covid-19 Crisis: A Qualitative Study., Breahannah Hilarie, Galaxina G. Wright, Lea H., Laurie O. Campbell

Faculty Publications

The COVID-19 pandemic changed the counseling programs in clinical instruction, mentorship, and student’s perception of the university. The qualitative data presented in this paper identifies eight counseling students’ beliefs of support during their time in counseling program during the COVID-19 pandemic. Data was obtained through semi-structured interviews. An interpretive phenomenological analysis resulted in four themes: including higher education response, personal resources, emotions in crisis, and transitions in crisis.

Distinctions Among Astronomy Lecture Demonstrations, Thomas Hockey

Faculty Publications

No abstract provided.

Childhood Sexual Trauma, Substance Use, And Antiretroviral Therapy Adherence Among Older Adults Living With Hiv: A Mediational Analysis, Monique J. Brown, Josie Zhang, Prince Nii Ossah Addo, Amandeep Kaur, Daniel Amoatika, Elizabeth L. Crouch Ph.D., Steven A. Cohen

Faculty Publications

Childhood sexual abuse (CSA) is linked to substance use and lower antiretroviral therapy (ART) adherence. However, studies examining the mediational role of substance use between CSA and ART adherence are lacking. Therefore, the aim of this study was to determine the potential mediational role of substance use between CSA and ART adherence among older adults living with HIV (OALH) (n = 91). Mediation analyses assessed the direct and indirect relationships between CSA, substance use, and ART adherence. Statistically significant differences existed in substance use by gender (male vs. female: 12.3 vs. 9.97) and ART adherence by race (Black vs. …

Irrigation And Society In The Upper Río Grande Basin, U.S.A: A Heritage Of Mutualism, José A. Rivera Ph.D

Faculty Publications

The acequias of the upper Río Grande are more than just irrigation canals. They also allocate and manage water for the community of landowners in the system. After four centuries of use, the acequias persist into modern times with their founding principles intact: self-government, local autonomy, internal rules for operating procedures, and a strong sense of mutualismo or communal responsibility. They have endured since Spanish colonial settlement and have maintained continuity of a water culture surviving political-administrative changes under three sovereigns, Spain (1598-1821), Mexico (1821-1848), and the United States (1848-Present). Despite stressors of climate variability, demographic changes, urbanization, and economic …

Who Owns The Heat? Navigating Pennsylvania's Geothermal Property Rights, Todd S. Aagaard, Rachel S. Winfield

Faculty Publications

No abstract provided.

Pilot Study: Initial Investigation Suggests Differences In Emt-Associated Gene Expression In Breast Tumor Regions, Kylie L. King, Hamed Abdollahi, Zoe Dinkel, Alannah Akins, Homayoun Valafar, Heather Dunn

Faculty Publications

Triple negative breast cancer (TNBC) is the most aggressive subtype and disproportionately affects African American women. The development of breast cancer is highly associated with interactions between tumor cells and the extracellular matrix (ECM), and recent research suggests that cellular components of the ECM vary between racial groups. This pilot study aimed to evaluate gene expression in TNBC samples from patients who identified as African American and Caucasian using traditional statistical methods and emerging Machine Learning (ML) approaches. ML enables the analysis of complex datasets and the extraction of useful information from small datasets. We selected four regions of interest …

Simulations Of Attosecond Metallization In Quartz And Diamond Probed With Inner-Shell Transient Absorption Spectroscopy, Lucas Kurkowski, Adonay Sissay, Mengqi Yang, Alexander Meyer, Kenneth Lopata

Faculty Publications

When dielectrics are hit with intense infrared (IR) laser pulses, transient metalization can occur. The initial attosecond dynamics behind this metallization are not entirely understood. Therefore, simulations are needed to understand this process and to help interpret experimental observations of it, such as with attosecond transient absorption (ATA). In this paper, we present first-principles simulations of ATA based on bulk-mimicking clusters and real-time time-dependent density functional theory (RT-TDDFT), with Koopmans-tuned range-separated hybrid functionals and Gaussian basis sets. Our method gives good agreement with the experiment for the breakdown threshold in silica and diamond. This breakdown voltage corresponds to a Keldysh …

Deep Learning-Based Superconductivity Prediction And Experimental Tests, Daniel Kaplan, Adam Zheng, Joanna Blawat, Rongying Jin, Robert J. Cava, Viktor Oudovenko, Gabriel Kotliar, Anirvan M. Sengupta, Weiwei Xie

Faculty Publications

The discovery of novel superconducting materials is a long-standing challenge in materials science, with a wealth of potential for applications in energy, transportation and computing. Recent advances in artificial intelligence (AI) have enabled expediting the search for new materials by efficiently utilizing vast materials databases. In this study, we developed an approach based on deep learning (DL) to predict new superconducting materials. We have synthesized a compound derived from our DL network and confirmed its superconducting properties in agreement with our prediction. Our approach is also compared to previous work based on random forests (RFs). In particular, RFs require knowledge …

Amplifying Women’S Voices In Menopause Research: The Importance Of Inclusive Perspectives, Camille Cronin, Sarah B. Donevant Phd, Rn, Ccrn, Kerri-Ann Hughes, Marja Kaunonen, Jette Marcussen, Rhonda Wilson

Faculty Publications

Menopause, a significant life transition for half the global population, intersects biological, cultural and social dimensions. Despite its universal occurrence, menopause research has historically been dominated by biomedical perspectives, often neglecting women's voices and diverse experiences. This article highlights the importance of including women's perspectives in menopause research to ensure relevance, accuracy and equity. It explores cultural variations in menopause experiences, the impact of socioeconomic status and the often-overlooked emotional and psychological dimensions. This article advocates for participatory approaches, emphasising that women's involvement enhances research design, implementation and policy development. Evidence-based interventions that are tailored to the individual can better …