Digital Commons Network^™

Introduction: The Future Of Global Journalism—Relationships, Tools, And Power, Ruth Moon, Lea Hellmueller, Herman Wasserman

Faculty Publications

No abstract provided.

Unveiling The Nexus Between Digital Monitoring And Experiences Of Intimate Partner Violence In Romantic Relationships, Caley Hewitt, Fanny A. Ramirez, Anna Gjika

Faculty Publications

Using survey data from a sample of 378 women who live in the United States and self-identify as either Black or Latinx, this study explores predictors of women’s digital monitoring practices in intimate relationships in the context of intimate partner violence (IPV). We use literature about surveillance, monitoring, and IPV to frame our study. Our results show three significant instances that influence the odds of monitoring a romantic partner: (1) past experiences with digital abuse, (2) past experiences with offline psychological abuse, and (3) age, with younger women having increased odds of engaging in digital monitoring compared to older women. …

Kinetic Control And Trapping In The Supramolecular Polymerization Of M-Terphenyl Bis-Urea Macrocycles, Sophya V. Garashchuk, Gamage Isuri P. Wijesekera, Isabella G. Rushton, Vaibhavi A. Samant, Fahidat A. Gbadamosi, Dr. Md Faizul Islam, Sophya V. Garashchuk, Prof. Dr. Linda S. Shimizu

Faculty Publications

Herein, we examine pathway complexity in the supramolecular polymerization of a novel m-terphenyl bis-urea macrocycle. Designed to induce kinetically metastable states, the macrocycle‘s concentration-dependent aggregation was studied via 1H NMR and IR spectroscopy in THF and CHCl₃. Temperature-dependent UV-Vis spectroscopy in water/THF revealed a cooperative nucleation-growth mechanism, indicated by a shift in λmax to longer wavelengths upon cooling. Morphological studies using DLS, AFM, and SEM demonstrated fibrous aggregate formation. Thermal hysteresis observed in assembly-disassembly cycles indicated kinetically trapped species, with cooling governed by kinetic control and heating by thermodynamic processes. Deviations in ΔH values during cooling, compared to van′t …

Machine Learning For Reactor Power Monitoring With Limited Labeled Data, C. L. Stewart, B. L. Goldblum, R. G. Abbott, L. Appleby, Brett J. Borghetti, V. Hollingshead, J. H. Whetzel

Faculty Publications

Real-time reactor power monitoring is critical for a variety of nuclear applications, spanning safety, security, operations, and maintenance. While machine learning methods have shown promise in monitoring reactor power levels, there is limited research on their efficacy in label-starved environments. The goal of this work is to assess the feasibility of classifying nuclear reactor power level using multisource data in scenarios with limited labels. Data were collected using low-resolution multisensors at four nuclear reactor facilities: two large research reactors and two TRIGA reactors. Within each pair, one reactor dataset served as the source and the other as the target in …

Review: Chasing The Stars: How Astronomers Of Observatory Hill Transformed Our Understanding Of The Universe, By James Lattis And Kelly Tyrrell, Thomas Hockey

Faculty Publications

No abstract provided.

The Total Solar Eclipse Of 1869 As Stimulus For Adoption Of Physical-Astronomy Techniques In The United States, Jennifer Lynn Bartlett, Thomas Hockey

Faculty Publications

In the United States, techniques that would one day be called astrophysical were applied later than elsewhere and comparatively suddenly. Their entry into US main-stream astronomy was motivated by a quasi-stochastic phenomenon: a total eclipse of the Sun visible between the contiguous borders of that country. In reaction to the upcoming event, the US Nautical Almanac Office in particular invested time, workforce, and a great deal of money into the measurements of physical astronomy, especially spectroscopy. This occurred although none of its employees had ever expressed—at least, in writing—expertise or even interest in the subject beforehand. Once adopted, physical astronomy, …

Illustrations Of Benevolent And Hostile Heterosexism In Lgbtq+ People’S Lives, Jes L. Matsick, Lindsay Palmer, Flora Oswald, Mary Kruk, Kenneth Ye

Faculty Publications

In this study, we aimed to define heterosexism—a form of sexual stigma that accounts for interpersonal attitudes and institutionalized ideology—in a multi-dimensional way, centering on LGBTQ+ people’s experiences. We draw from an ambivalent theory of prejudice and focus on heterosexism, or an ideology that stigmatizes nonheterosexual behaviors, identities, relationships, and communities. We aimed to learn how LGBTQ+ people would narrate their experiences of heterosexism within a benevolent and hostile framing. In a qualitative online study, LGBTQ+ participants (N = 77; 49% White) reviewed definitions of and recalled encounters with benevolent and hostile heterosexism, providing examples of how heterosexism manifests …

The Impact Of Solar Angle And Cloud Shadows On 3d Reconstruction Of Rolling Stock Cargo, Carlina M. Ostrand, Adam D. Reiman, Frank W. Ciarallo, Scott L. Nykl, Clark N. Taylor, Joshua F. Krutz

Faculty Publications

Meeting the relentless demand for more efficient air cargo transportation is of paramount importance for commercial needs and military missions. This study describes an experiment to test an innovative approach that harnesses cutting-edge stereoscopic vision technology to create 3D point clouds of rolling stock cargo across varying solar angles and cloud shadow conditions. Virtual cargo point clouds are generated by calibrating and systematically organizing the depth and location points from an RGB-D camera and then reprojecting them in a virtual environment. Measurement accuracy was rigorously tested across six camera positions in various combinations of weather conditions against physical ground truth …

Adapting To Ai: The Evolving Role Of Faculty In Higher Education, Ronald R. Danault

Faculty Publications

Artificial intelligence (AI) is changing the face of higher education, and there are important issues regarding the future of the faculty (Stoerger, 2024). Although there are concerns about the impact of AI on the conventional faculty roles in teaching, assessment, and administration, these tools are now being adopted in learning processes. Rather than dismissing AI as a threat, it acts as a catalyst for reshaping the way faculty members teach with the help of AI and, hence, become facilitators of the learning process (Haoyang & Towne, 2025).

This paper aims to discuss the integration of AI in the higher education …

On Large Language Models In National Security Applications, William N. Caballero, Phillip R. Jenkins

Faculty Publications

The overwhelming success of GPT-4 in early 2023 highlighted the transformative potential of large language models (LLMs) across various sectors, including national security. This article explores the implications of LLM integration within national security contexts, analyzing their potential to revolutionize information processing, decision-making, and operational efficiency. Whereas LLMs offer substantial benefits, such as automating tasks and enhancing data analysis, they also pose significant risks, including hallucinations, data privacy concerns, and vulnerability to adversarial attacks. Through their coupling with decision-theoretic principles and Bayesian reasoning, LLMs can significantly improve decision-making processes within national security organizations. Namely, LLMs can facilitate the transition from …

Racial And Ethnic Inequalities In Actual Vs Nearest Delivery Hospitals, Nansi S. Boghossian, Lucy T. Greenberg, Jeffrey S. Buzas, Joshua Radack, Molly Passarella, Jeannette Rogowski, George R. Saade, Ciaran S. Phibbs, Scott A. Lorch

Faculty Publications

IMPORTANCE Minoritized racial and ethnic groups, such as American Indian and Black individuals, often receive lower quality health care compared with White individuals. There is limited understanding of how these disparities extend to obstetric care, particularly when comparing the quality of care at the actual delivery hospital vs the nearest obstetric hospital based on the birthing individual’s residence. OBJECTIVE To examine inequality in care based on the actual delivery hospital and the closest delivery hospital to the birthing individual’s residential zip code centroid. DESIGN, SETTING, AND PARTICIPANTS This population-based retrospective cohort study used data from 5 states (2008 to 2020 …

Family Risk Classes Predict Longitudinal Parent And Child Outcomes: Understanding The Implications Of Poverty-Related Adversity, Daniel K. Cooper, Benjamin L. Bayly, Brianna Tennie, Francesca Lupini, Martha E. Wadsworth

Faculty Publications

Experiencing poverty and associated risk factors can be detrimental to families’ mental health and well-being. However, it is unclear whether experiencing specific types or patterns of adversity leads to distinct outcomes. Guided by the Family Stress Model, the objective of this study was to (a) identify unique family risk classes based on exposure to various combinations of poverty-related adversity and (b) examine whether the family risk classes differed in their levels of parental coping strategies, couple relationship quality, parenting practices, and child behavior problems. The sample included 301 mother–father–child triads (602 adults and 301 children) with a combined income ≤ …

Exploring Emotion Classification Of Indonesian Tweets Using Large Scale Transfer Learning Via Indobert, Connor Shaw, Phillip M. Lacasse, Lance E. Champagne

Faculty Publications

Business, political, and other social structures create strong motivation to understand the attitudes, motivations, feelings, and emotions of a population of interest. Social media is a rich source of self-disclosed information by individuals from all walks of life about virtually every domain of the human experience, but the vast quantity of data is impossible to effectively analyze without advanced natural language processing algorithms. This research creates a transfer learning based emotion classification model for Indonesian language Twitter data. Transfer learning consists of two steps: pre-training and fine tuning. Three variations of Indonesian Bidirectional Encoder Representations from Transformers (IndoBERT) are tested …

Special Delivery Of Proteinaceous Matter To Deep-Sea Microbes, Yuan Shen, Ronald Benner, Taylor A.B. Broek, Brett D. Walker, Matthew D. Mccarthy

Faculty Publications

Earth’s deep ocean holds a vast reservoir of dissolved organic carbon, traditionally considered old and resistant to microbial degradation. Radiocarbon analyses indicate the hidden occurrence of younger dissolved organic carbon components, assumed to be accessible to deep-sea microorganisms but not yet demonstrated. Using compound-class radiocarbon analysis, molecular characterization, and bioassay experiments, we provide direct evidence for rapid microbial utilization of young, labile, high–molecular weight proteinaceous material in bathypelagic waters. The abundance of labile proteinaceous material diminishes from epipelagic to mesopelagic waters but notably increases in bathypelagic waters, where it exhibits a short turnover time (days) and resembles surface plankton in …

Electronic And Magnetic Properties Of Nearly Spin-Gapless Semiconducting Fevtaal And Fecrzral, Caden Sadler, Samuel Smith, Nhat Phat Nguyen, Brandon Schmidt, Parashu Kharel, Paul M. Shand, Pavel V. Lukashev

Faculty Publications

Here, we present results of a computational study of electronic, magnetic, and structural properties of FeVTaAl and FeCrZrAl, quaternary Heusler alloys that have been recently reported to exhibit spin-gapless semiconducting behavior. Our calculations indicate that these materials may crystallize in regular Heusler cubic structure, which has a significantly lower energy than the inverted Heusler cubic phase. Both FeVTaAl and FeCrZrAl exhibit ferromagnetic alignment, with an integer magnetic moment per unit cell at equilibrium lattice constant. Band structure analysis reveals that while both FeVTaAl and FeCrZrAl indeed exhibit nearly spin-gapless semiconducting electronic structure at their optimal lattice parameters, FeVTaAl is a …

Layer-Dependent Spin-Resolved Electronic Structure Of Ferromagnetic Triple-Layered Ruthenate Sr4ru3 O10, Prosper Ngabonziza, Jonathan D. Denlinger, Alexei V. Fedorov, Gang Cao, J. W. Allen, G. Gebreyesus, Richard M. Martin

Faculty Publications

High-resolution angle- and spin-resolved photoemission spectroscopy (ARPES) of the triple-layered ruthenate Sr4Ru3O10 reveals features of the electronic structure that extend our understanding of the layered strontium ruthenates. The spectra near the Fermi energy are very different from the nonmagnetic analogues Sr2RuO4 and Sr3Ru2O7 with distinct Fermi surfaces for wide electronlike minority spin bands around the zone center and narrow holelike majority spin Fermi surface contours around the zone corners. The most dramatic results are two narrow spectral peaks ∼30 meV below the Fermi level, a spin-minority holelike band at the Brillouin zone center, and a spin-majority saddle-band van Hove singularity …

Mirrors For Pacific Islander Children: Teaching Resilience Through Culturally Adapted Bibliotherapy, Isabel Medina Hull, Elizabeth Cutrer, Paul H. Ricks, G. E. Kawika Allen, Kendra M. Hall-Kenyon, Lorena Seu, Kristopher J. Urbina, Melia Fonoimoana Garrett

Faculty Publications

Pacific Islander youth face disproportionately high rates of suicide and mental health challenges, yet culturally appropriate interventions remain scarce. This study investigated whether culturally adapted bibliotherapy could effectively promote resilience in American Samoan children by incorporating culturally relevant stories and coping strategies. Through collaboration with on-island Samoan cultural brokers, we developed and implemented culturally adapted stories and lessons designed to resonate with the experiences of children in American Samoa. The study employed a mixed-methods approach with 34 American Samoan children aged 5–13 years, using observations, adapted card sorts, and forced-choice procedures to measure responses to the intervention. The results demonstrated …

Origin Of Large Effective Phonon Magnetic Moments In Monolayer Mos2, Hussam Mustafa, Cynthia Nnokwe, Gaihua Ye, Mengqi Fang, Swati Chaudhary, Jia An Yan, Kai Wu, Connor J. Cunningham, Colin M. Hemesath, Andrew James Stollenwerk, Paul M. Shand, Eui Hyeok Yang

Faculty Publications

Recent helicity-resolved magneto-Raman spectroscopy measurement demonstrates large effective phonon magnetic moments of ∼2.5 μB in monolayer MoS2, highlighting resonant excitation of bright excitons as a feasible route to activate Γ-point circularly polarized phonons in transition metal dichalcogenides. However, a microscopic picture of this intriguing phenomenon remains lacking. In this work, we show that an orbital transition between the split conduction bands (Δ0 = 4 meV) of MoS2 couples to the doubly degenerate E″ phonon mode (Ω0 = 33 meV), forming two hybridized states. Our phononic and electronic Raman scattering measurements capture these two states: (i) one with predominantly phonon contribution …

Synthesis Of A Series Of Rare-Earth-Based Multi-Anion Chalcogenide Iodides Re3Si2SeXS8-XI (Re = La, Ce, Pr, And Nd) Using The Flux-Assisted Boron-Chalcogen Mixture Method, Gopabandhu Panigrahi, Habiba Binte Kashem, Gregory Morrison, Hans Conrad Zur Loye

Faculty Publications

Single crystals and polycrystalline powders of rare earth mixed chalcogenide iodides La3Si2Se1.21S6.79I, Ce3Si2Se1.39S6.61I, Pr3Si2Se1.22S6.78I, and Nd3Si2Se1.18S6.82I were prepared using the reactive flux-assisted boron-chalcogen mixture (BCM) method at 850 °C. All compounds crystallized in the monoclinic crystal system, space group C2/c (space group number 15). The series adopts the La3Si2O8Cl structure type, containing isolated SiQ4 tetrahedra connected by REQ8 (RE = La, Ce, Pr and Nd) polyhedra; this arrangement creates tunnels that are filled by I atoms. The partial substitution of S by Se was carried out to modulate the optical properties. Phase pure samples and uniform solid solutions were obtained …

Commodity Thermoplastic Elastomer-Enabled Templated Synthesis Of Large-Pore Ordered Mesoporous Materials, Anthony Griffin, Parker Frame, Yizhi Xiang, Zhe Qiang

Faculty Publications

Fabrication of ordered mesoporous materials (OMMs) has predominantly relied on templating-based methods. However, these methods are constrained by several limitations, especially the limited pore sizes attainable with commercially available surfactants used as structure-directing agents. To unlock the full potential of the OMMs, it is essential to develop synthetic strategies that facilitate the production of large-pore OMMs using scalable processes and cost-effective precursors. This work demonstrates the use of thermoplastic elastomer (TPE)-derived carbon replicas for synthesizing ordered mesoporous silica (OMS) and metal oxides (OMMOs) via precursor infiltration and template removal. The nanostructural evolution of the resulting inorganic materials was systematically investigated. …

Toward A Unified Conceptualization Of Social Capital, Paulina Erices-Ocampo, Miranda J. Lubbers, Jimi Adams

Faculty Publications

Social capital is among the most broadly used concepts in social science. Despite its shared understanding as beneficial resources available from the connections between people, authors vary widely in their conceptualizations of social capital. To extract clarity from these disparate perspectives, we offer a systematic framework for conceptualizing social capital, which identifies three primary theoretical dimensions of scholars’ conceptualizations of social capital: (a) where beneficial resources reside, ranging from within individuals to the relationships between individuals; (b) beneficial network structure, differentiating closure from brokerage arrangements; and (c) the level to which rewards accrue, distinguishing individual from collective benefits. We illustrate …

The Southern Miss Bower Academic Center: A Recent Academic Library-Athletics Partnership, Blake Denton

Faculty Publications

In 2019, A. Blake Denton published a literature review that identified and described 35 partnerships between academic libraries and athletics programs at higher education institutions in the United States, 20 of which were established for library marketing and development purposes. Recognizing that the literature documenting marketing and development partnerships was dated, he published a study in 2021 that provided updated, more comprehensive accounts for eight participating institutions and an analysis of the evolving nature of their relationships over time. This third article analyzes the partnership at the University of Southern Mississippi that resulted in the relocation of the athletics program’s …

Time-Series Forecasting In Smart Manufacturing Systems: An Experimental Evaluation Of The State-Of-The-Art Algorithms, Mojaba A. Farahani, Fadi El Kalach, Austin Harper, M.R. Mccormick, Ramy Harik, Thorsten Wuest

Faculty Publications

Time-Series Forecasting (TSF) is a growing research area across various domains including manufacturing. Manufacturing can benefit from Artificial Intelligence (AI) and Machine Learning (ML) innovations for TSF tasks. Although numerous TSF algorithms have been developed and proposed over the past decades, the critical validation and experimental evaluation of the algorithms hold substantial value for researchers and practitioners and are missing to date. This study aims to fill this research gap by providing a rigorous experimental evaluation of the state-of-the-art TSF algorithms on thirteen manufacturing-related datasets with a focus on their applicability in smart manufacturing environments. Each algorithm was selected based …

Enhancing Mucus Flow And Clearance By Grafting Zwitterionic Hydrogel Films To Luminal Surfaces, Ryan Horne, Caleb Escudero, Morgan Ellerman, C. Allan Guymon, Marlan Hansen

Faculty Publications

Objective

To determine the effects of zwitterionic hydrogel films on mucus contact angles, flow, and stasis with respect to medical polymer surfaces, both flat and tubular.

Methods

A zwitterionic hydrogel thin film was photografted onto medical rubber surfaces and compared against non-zwitterionic hydrogel thin films and untreated surfaces to determine its impact on mucus contact angles, mucus flow on sheets and tubes, and mucus plugging.

Results

Zwitterionic and conventional hydrogel films significantly reduce the mucus contact angles and the tilt required to initiate mucus flow on sheets and in tubular systems. Preliminary experiments show that these films may also shorten …

Time-Dependent Shear Flows And Their Applications In Parabolic–Parabolic Patlak–Keller–Segel Systems*, Siming He

Faculty Publications

In this study, we investigate the behavior of three-dimensional parabolic–parabolic Patlak–Keller–Segel systems in the presence of ambient shear flows. Our findings demonstrate that when the total mass of the cell density is below a specific threshold, the solution remains globally regular as long as the flow is sufficiently strong. The primary difficulty in our analysis stems from the fast creation of chemical gradients due to strong shear advection.

Kg-Dta: A Knowledge Graph-Based Meta-Path Learning Framework To Predict Drug-Target Binding Affinity, Amit Ranjan, Adam Bess, Md Saiful Islam Sajol, Magesh Rajasekaran, Chris Alvin, Supratik Mukhopadhyay

Faculty Publications

Drug target affinity (DTA) prediction is essential at different phases of drug discovery and virtual drug screening. However, traditional wet lab experiments are time and resource-intensive owing to the complex interactions within the vast biological and chemical spaces. Computational methods have proven their potential to predict DTA, but none have considered the association of drugs and proteins to capture the complex interactions in the biological network between drugs and proteins. To address this, we propose a novel framework leveraging knowledge graph-based meta-path learning (KG-DTA) to enhance DTA prediction. First, we construct a weighted heterogeneous network of drugs and proteins that …

Electronic, Magnetic, And Structural Properties Of V2coal: Experimental And Computational Study, Parashu Kharel, Cole Brown, Brandon Schmidt, Caden Sadler, Salimatou Diallo, Mohd Anas, Paul M. Shand, Pavel V. Lukashev

Faculty Publications

Here, we present results of combined experimental and computations study of V2CoAl, a Heusler alloy that exhibits nearly perfect spin-polarization. Our calculations indicate that this material maintains a high degree of spin-polarization (over 90%) in the wide range of lattice parameters, except at the largest considered unit cell volume. The magnetic alignment of V2CoAl is ferrimagnetic, due to the antialignment of the magnetic moments of vanadium atoms in their two sublattices. The calculated total magnetic moment per formula unit is nearly integer at the optimal lattice parameter and at the smaller volumes of the unit cell, but it deviated from …

Pre-Exposure Prophylaxis Uptake Among Black/African American Men Who Have Sex With Other Men In Midwestern, United States: A Systematic Review, Oluwafemi Adeagbo, Oluwaseun Abdulganiyu Badru, Prince Addo, Amber Hawkins, Monique J. Brown Ph.D., Mph, Xiaoming Li, Rima Afifi

Faculty Publications

Introduction: Black/African American men who have sex with other men (BMSM) are disproportionately affected by HIV, experience significant disparities in HIV incidence, and face significant barriers to accessing HIV treatment and care services, including pre-exposure prophylaxis (PrEP). Despite evidence of individual and structural barriers to PrEP use in the Midwest, no review has synthesized this finding to have a holistic view of PrEP uptake and barriers. This review examines patterns of, barriers to, and facilitators of PrEP uptake among BMSM in the Midwest, United States (US).

Methods: Five databases (CINAHL Plus, PUBMED, PsycINFO, SCOPUS, and Web of Science) were searched …

Byu Nano-Carbon Physics Lab, Robert Davis Dr., Richard Vanfleet Dr., Felipe Rivera Dr., David Hayes, Nick Allen, Bridget Kemper, Dan Broadbent

Faculty Publications

BYU Nano-Carbon Physics Lab

Started in 2003 by Physics Professors Robert Davis and Richard Vanfleet, who received the BYU Technology Transfer Award in 2024.

Over 81 undergraduate and 21 graduate student projects in the lab have advanced carbon nanotube (CNT) research.

Applications of research from the lab have resulted in over 30 patents, many of which have been licensed to companies for use in the world.

This display showcases highlights of work done in the lab.

Teaching Archival Silences With The New Hampshire Maps Collection, Kai H. Uchida

Faculty Publications

This conference presentation was given at the Annual Spring 2025 Meeting for New England Archivists.

For the past two years, the University Archivist at Milne Special Collections and Archives at the University of New Hampshire has partnered with an instructor in the Natural Resources and Environmental Studies Department to teach about its historic map collections. This presentation will discuss the planning, execution, and lessons learned from using a historic state maps collection to educate students on the concept of "archival silence," and to advocate for the use of historical map collections to develop critical archival and data literacies.