Digital Commons Network^™

Radio Frequency Resonate And Fire (Rf-Raf) Neurons Supporting Device Classification, David L. Weathers, Michael A. Temple, Brett J. Borghetti

Faculty Publications

Radio Frequency Fingerprinting (RFF) enables passive physical-layer device authentication by exploiting unintentional hardware variations in wireless transmitters. Neuromorphic implementations are attractive, given their potential for low-latency, energy-efficient inference capability under Size, Weight, and Power (SWaP) constraints at the edge. A new RFF capability is demonstrated here using recently introduced Radio Frequency Resonate-and-Fire (RF-RAF) neurons and eight WirelessHART devices. Performance is evaluated for RF-RAF-generated fingerprints against the established Gabor Transform (GTX) baseline using three classifier architectures: Random Forest (RndF), Convolutional Neural Network (CNN), and a Time-Incremented Spiking Neural Network (TI-SNN). The results show that RF-RAF fingerprints achieve an average classification accuracy …

Modeling Individual Self-Protective Behavior During Epidemics, Geonsik Yu, Michael J. Garee, Mario Ventresca, Yuehwern Yih

Faculty Publications

Protecting public health from infectious diseases requires collective action, as individual behaviors—such as vaccination and mask-wearing—directly influence disease dynamics. During the COVID-19 pandemic, unexpected public responses often undermined the effectiveness of interventions, highlighting the need to understand collective behavioral patterns and motivations to design more effective mitigation strategies. This study presents an agent-based simulation model that captures how individuals adjust self-protective behaviors based on evolving opinions about disease risk and examines how these decisions interact with external factors, such as public health interventions, to shape collective outcomes. To improve the representativeness of the simulated population, multiple datasets were integrated to …

Pioneering Change: Digital Reformatting For Sustainable Av Stewardship, Cory Nimer, Ben Harry, Abby Beazer, Miya Jensen, Michael Gates, Karen Glenn

Faculty Publications

Archives and libraries face growing preservation challenges from aging audiovisual collections due to carrier degradation and playback equipment obsolescence. As the media becomes more difficult to access, its archival value decreases, leading to questions about its ongoing storage. One proposed solution has been to digitize and discard the original media, preserving the recordings as digital masters with derivative files for public access. The suggestion to reformat audiovisual materials raises questions for cultural heritage professionals, and each stakeholder group may have its own concerns. Yet as media capture and digital preservation technology improve, to maintain our program's sustainability, we have begun …

Inconsistencies Emerge Between Regional And Local-Scale Water Security Metrics At Military Installations, Abigail Birnbaum, Michael L. Berg, Caitlin Grady, Daniel J. Weeks, Christopher M. Chini

Faculty Publications

Recent United States federal policy for military installations has emphasized the importance of developing a standardized approach for water security assessment to monitor changes in water resources and the ability for an installation to meet both its civilian and mission needs. For military installations in the United States, these assessments must consider demands both inside and outside the installation’s fence line, as regional resources are required to meet mission readiness. Focusing on physical water scarcity, this study compares four water security metrics with unique formulations and spatial resolutions, including an installation-scale metric and multiple regional metrics defined for either baseline …

Systematic Reviews Across Disciplines: Comparing Quality And Publication Practices, Megan Bresnahan, Eugenia Opuda

Faculty Publications

As the publication of systematic reviews has proliferated across the sciences in the past decade, librarians have a role in helping researchers select the appropriate type of review, providing best practice guidelines, and under-standing variations in disciplinary practices for evidence synthesis. Using a title-abstract search filtered by 10 research areas in the Web of Science, we collected a sample of 100 systematic reviews from a range of disciplines, including “Fisheries,” “Forestry,” “Health Care Sciences & Services,” and “Veterinary Sciences.” Our analysis of this data explores to what extent these articles include the basic components of a systematic review and adhere …

Visual Cues In Online Education: How Emojis In Asynchronous Instructor Communication Strengthen Emotional And Behavioral Outcomes, Minseong Kim, Tami L. Knotts, Nancy D. Albers, Karen E. James

Faculty Publications

Online learning environments often lack nonverbal cues that support relational communication between instructors and students, making it difficult to establish emotional connection and trust. This study examines how emojis, as affective visual cues, influence instructor credibility, emotional attachment, trust, and responsible behavior in asynchronous online education. A scenario-based experiment was conducted with 297 undergraduate students who were randomly assigned to view an instructor email either with or without emojis. Participants subsequently evaluated the instructor’s credibility (expertise, trustworthiness, and likeability), as well as their emotional attachment, trust, and anticipated responsible behavior. The results indicate that emojis significantly enhance perceived likeability, which …

Analysis Of Approximations In Flash Thermal Diffusivity Measurements Using High‑Fidelity Simulations, Tage T. Burnett, Jakob G. Bates, Matthew R. Jones, Christopher R. Dillon, John Tencer

Faculty Publications

Thermal diffusivity is an important material property for understanding and characterizing transient behavior in many heat transfer applications. This study investigates the accuracy and approximations of inverse mathematical models for measuring thermal diffusivity of materials via the widely used Flash Method. High-fidelity simulations of the Flash Method in copper, silicon carbide, silicon, and glass were performed as numerical experiments and included physics such as in-depth absorption, radial conduction, and surface convection. Data from those numerical experiments were used to estimate material thermal diffusivity using seven traditional and new inverse models. Parker’s original model had relative errors 𝜖< 5% when the approximations it makes were enforced in numerical experiments. Newer models performed well even when experimental restrictions were relaxed. Models that include radial heat conduction were capable of accurately measuring thermal diffusivity (𝜖< 1%) when a Gaussian energy source was used. Models with radial conduction and in-depth material absorption of the laser source could calculate thermal diffusivity for semi-transparent materials such as silicon (𝜖< 1%) and even transparent materials like glass (𝜖< 10%). Convective losses from the material’s front surface had a negligible impact on measurements except for very low thermal diffusivity materials. Using temperatures from many locations of the test material’s surface increased resilience to noise, reducing the distribution of thermal diffusivity measurements by more than an order of magnitude. The models developed in this study could enable a more relaxed Flash Method experimental setup that maintains thermal diffusivity accuracy and extend the utility of the Flash Method to semitransparent materials.

Ai Need Not Make One Slothful, Roy A. Kaelin Jr

Faculty Publications

As National Louis University seeks to plan and advance its way amid the potential perils and pitfalls of so-named artificial intelligence, one finds that with reasonable workflows and guard rails, the use of AI proposes both potential promise and prospect, to assist and augment the natural intelligence that students and teachers bring to the classroom, encouraging them to pursue STEM-related activities with the preparation and deployment of focused and directed AI-bots. This paper presents examples and a case study of that directed and focused approach, the incremental lessons learned to date, and a proposed path to advance worthwhile AI …

Increasing Pride Skills For Child Engagement Using Cdi-Only Ipcit With Children With Autism Spectrum Disorder, Jordan T. Etherington, Zachary C. Labrot, Emily R. Defouw, Brad Dufrene, Brittany D. Garza, Amarah Sweaks, Briley Newcomb

Faculty Publications

Many children with autism spectrum disorder (ASD) display elevated levels of challenging behaviors and decreased social engagement. Parent Child Interaction Therapy (PCIT) may help children with ASD increase rates at which they engage and interact with their caregivers. Existing barriers to treatment completion, including high attrition and travel time and costs, may be ameliorated by delivering PCIT virtually (iPCIT) and setting attainable mastery criteria. This study utilized a multiple baseline design across three caregiver-child dyads with ASD to determine whether an iPCIT protocol affected caregivers’ use of positive engagement skills, children’s engagement, and children’s challenging behaviors. Results demonstrated increased and …

Sequence Determinants Of Rna G-Quadruplex Unfolding By Arg-Rich Regions, Naiduwadura Ivon Upekala De Silva, Puspa Kunwar, Md Ibnul Rifat Rahman, Joanna Koryo Kwao, Nathan Lehman, Zihan Zhang, Trenton Paul, Claire Cheng, Nicholas Truex, Hui-Ting Lee, Jun Zhang

Faculty Publications

RNA sequences with the potential to form G-quadruplexes (rGQs) are widespread but largely unfolded in cells by unknown mechanisms. rGQ folding status is a critical regulator of RNA splicing and translation. We show that rGQs can be unfolded by SR proteins, SR-related proteins, and other Arg-rich proteins, including SRSF1, SRSF3, SRSF9, U1-70K, and U2AF1. The length and composition of Arg-rich regions are key determinants of this activity: Arg residues are the primary drivers, while acidic residues attenuate the unfolding activity. To unfold ARPC2 rGQ, at least 13 Arg residues are required. Our findings identify Arg-rich proteins as previously unrecognized, helicase-independent …

Measurements And Scaling Of Ion Propulsion Impulse During Driven Magnetic Reconnection, Fatima Ebrahimi, Nicholas A. O'Gorman, Kush Maheshwari, Jongsoo Yoo, Alexandre Sainterme, Hantao Ji

Faculty Publications

Impulse scaling during magnetic reconnection, the magnetic energy conversion to kinetic energy, via direct Mach probe measurements in Magnetic Reconnection Experiment is examined. Ion exhaust velocity and impulse scalings with reconnecting magnetic field during the push phase of driven reconnection are presented. The outflows and impulse measurements are compared with global MHD simulations. Both measurements and simulations reveal a favorable scaling, greater than linear, of impulse with reconnecting field. These scaling results establish that magnetic reconnection could be utilized for plasma propulsion.

Association Between Cholinesterase Inhibitor-Overactive Bladder Antimuscarinic Prescribing Cascade And Risk Of Delirium And Falls Among Individuals Living With Dementia, Sarah Beth Tucker, Bryan L. Love Pharm D., Chijoke M. Okeke, Erin D. Zwick, Chengwen Teng Pharm.D., Ph.D., Jingkai Wei, Ibraheem M. Karaye, Saud Alsahali, Krithika Rajagopalan, Ismaeel Yunusa Ph.D.

Faculty Publications

Background

Prescribing cascades occur when cholinesterase inhibitor (ChEI)-induced urinary incontinence is misinterpreted as a new condition, leading to overactive bladder (OAB) antimuscarinic initiation. We evaluated whether the ChEI-OAB antimuscarinic prescribing cascade was associated with delirium or falls compared with mirabegron in older adults living with dementia.

Methods

We conducted a retrospective cohort study using the Anlitiks All-Payor Claims database (2015–2020). Participants were adults aged ≥ 65 years with dementia newly prescribed a ChEI with no prior ChEI or OAB therapy (180 days). A 60-day window identified OAB treatment initiation after ChEI therapy. Exposures were OAB antimuscarinics or mirabegron. Outcomes were …

Wrky Transcription Factors: Integral Regulators Of Defence Responses To Biotic Stress In Crops, Dongjiao Wang, Ruize Zhang, Wenhui Zou, Yuanyuan Zhang, Wanying Zhao, Tingting Sun, Qibin Wu, Zheng Qing Fu, Youxiong Que

Faculty Publications

Crops are continually challenged by biotic stresses, including fungal, bacterial and viral pathogens and insect pests, which cause substantial yield and quality losses worldwide. WRKY transcription factors constitute a plant-specific and functionally diverse family that is central to immune regulation. Recent advances in genomic resources and multi-omics approaches have accelerated the identification and functional characterisation of WRKYs in crops. This review summarises the structural features and classification of WRKY genes and their genome-wide distribution across crop species. It also synthesises WRKY-centred regulatory modules that mediate resistance to major classes of biotic stress. In antifungal defence, WRKYs reinforce pattern- and effector-triggered …

Use Of Period- Or Fertility-Tracking Technologies Pre- And Post-Dobbs, Emily Neiman, Marta Bornstein Phd, Mph, Abigail Norris Turner, Megan L. Kavanaugh, Maria F. Gallo

Faculty Publications

Objectives

Study design

Statutory Backups For Endangered Constitutional Rights, Aaron-Andrew P. Bruhl

Faculty Publications

This Article concerns the phenomenon of “statutory backup rights,” or statutes that provide protections parallel to constitutional rights that are believed to be at risk of judicial abrogation. Proposals for backup rights gained attention in the aftermath of the Supreme Court’s 2022 decision in Dobbs v. Jackson Women’s Health Organization, which not only eliminated the constitutional right to abortion but called into question some other constitutional rights as well. Shortly after Dobbs, Congress enacted a limited statutory backup for same-sex marriage. States have created backup rights across a range of topics, some of which appeal mostly to those …

“Thomas Jefferson: America’S Flawed Founder Of Freedom.”, Jay H. Buckley

Faculty Publications

Thomas Jefferson was a deeply paradoxical figure—both a founding champion of liberty and a lifelong slaveholder—whose legacy must be understood in its full complexity. While he owned more than 600 enslaved people and participated in a system he publicly condemned, Jefferson consistently articulated and promoted ideals of natural rights, equality, and freedom that reshaped the United States and influenced democratic movements worldwide. He made repeated (though often unsuccessful) efforts to curb or end slavery through legislation, legal cases, and policy, including opposing the slave trade, limiting slavery’s expansion into western territories, and helping abolish the transatlantic slave trade. At the …

Examining The Psychometric Structure Of An Instrument To Measure Students’ Interests And Motivation In Science Learning: Factor Analysis And Measurement Invariance, Fuhui Tong, Shifang Tang, Zhuoying Wang, Beverly J. Irby

Faculty Publications

In this study, we examined the psychometric properties (reliability, validity, and underlying factor structure) and measurement invariance of a researcher-developed instrument: Motivated Strategies for Science Learning (MSSL). Data were collected from 2765 fifth-grade students across [state withheld] school districts. Results from exploratory and confirmatory factor analyses suggested satisfactory psychometric properties of MSSL. We further identified strong evidence to support configural, metric, scalar, and strict invariance across school location groups (i.e., rural and non-rural), confirming that the instrument can accurately capture the construct of science learning motivation among fifth-grade students from both rural and non-rural Texas schools. The study provides the …

Climate Change And The Reconfiguration Of Arctic Access, Charles H. Norchi, Amanda H. Lynch

Faculty Publications

The Arctic is warming faster than any other region on Earth, with surface air temperatures increasing at a rate nearly four times the global average.1 This amplification of global change has been reshaping the Arctic for decades, altering sea ice extent and thickness, snow regimes, permafrost stability, and hydrological systems. Against this backdrop, a persistent narrative has taken hold that the diminishing cryosphere2 is setting the table for opportunity: opening the Arctic to navigation, development, and exploitation. But this thaw renders the Arctic neither benign nor uniformly accessible. The region remains frozen for most of the year, dark for months …

The Big Five Personality Traits And Perceptions Of Generative Ai In Higher Education: A Canonical Correlation Analysis For Sustainable Digital Education, Mei Jiang, Shifang Tang, Qingwei Wang

Faculty Publications

The purpose of this study was to examine the multivariate relationship between college students’ Big Five personality traits and their perceptions of generative artificial intelligence (AI). Guided by sustainable digital education and expectancy-value theory, this study investigated whether personality profiles were associated with students’ knowledge of AI, attainment value, intrinsic value, utility value, perceived cost, and intention to use AI. Using a cross-sectional survey design, data were collected from 375 students enrolled at a Southwestern doctoral-granting public university. Participants completed an adapted measure of generative AI perceptions and the Big Five Inventory, and canonical correlation analysis (CCA) was conducted to …

A Machine Learning And Nlp Pipeline For Analyzing Esg And Sustainability Disclosures In The Textile And Apparel Industry, Md. Rafiqul Islam Rana M.S.,Ph.D, Agraj Magotra, Fairuz Shadmani Shishir, Sumaiya Shomaji

Faculty Publications

The global textile and apparel (T&A) industry faces critical pressure over its environmental impact, producing approximately 92 million tons of waste annually and contributing to nearly 20% of global water pollution. For Bangladesh, one of the leading apparel exporters, the integration of transparent Environmental, Social, and Governance (ESG) practices is crucial for meeting international sustainability standards and maintaining global competitiveness. This study proposes a machine learning-based method to analyze ESG practices among LEED-certified T&A factories in Bangladesh. Leveraging contextual Natural Language Processing (NLP) and Topic Modeling technique, we developed a robust Machine learning (ML) framework based on Non-Negative Matrix Factorization …

The Great Depression And Canada's Major Originalist Decade, Preston Jordan Lim

Faculty Publications

Few periods of Canadian history have been as momentous or terrible as the Great Depression. The Dominion and provincial governments’ inability to combat financial and environmental catastrophe led many Canadians to openly question the appropriateness of their constitutional framework. As legal historians have since documented, many leading jurists of the time believed that a strong central government could, through the institution of national programs, contain the Great Depression; in the eyes of these 1930s jurists, the Judicial Committee of the Privy Council—then Canada’s apex court—had sapped the federal government of its powers by misinterpreting the British North America Act, 1867 …

Sheets Of Spectral Data Of Stokes Waves In Weakly Nonlinear Models, Benjamin F. Akers, Ryan Creedon

Faculty Publications

We study the spectral stability of small-amplitude Stokes waves in a family of weakly nonlinear, unidirectional models of the form u_t + Lu + (u²)_x = 0. We introduce a perturbation method to expand the spectral data in wave amplitude near flat-state eigenvalue collisions, with the ratio of the colliding modes as a free parameter. This yields sheets of spectral data whose slices at fixed amplitude give isolas of instability. The same perturbation framework treats both high-frequency and Benjamin--Feir instabilities, extends to discontinuous dispersion relations (including the Akers--Milewski equation), and, for the first time, provides an …

Libraries And Librarians Get After Participatory Science, Catherine Wong, Megan Bresnahan

Faculty Publications

No abstract provided.

Temperature Determination And Scene Change Artifact Mitigation When Using Fourier-Transform Spectroscopy On Targets With Time-Varying Temperature, Kode A. Wilson, Michael L. Dexter, Benjamin F. Akers, Anthony L. Franz

Faculty Publications

Fourier-transform spectroscopy is a widely used technique for determining the spectral and thermal properties of a target. However, target temperature variations during measurement can compromise the spectral accuracy. Temperature fluctuations induce oscillations superimposed on the target spectrum. These oscillations, referred to as scene-change artifacts, degrade the spectral accuracy. The literature is divided, with theoretical predictions suggesting negligible artifacts and growing experimental evidence reporting significant artifacts. This paper presents a theory and experimental validation of scene-change artifacts originating from target temperature variations. Traditionally, the interferogram offset is assumed to be constant, an invalid assumption for a changing scene. The error is …

Characterizing The Unique Chemical Imprint Of On-Axis, Lower-Temperature Hydrothermal Flow To The Deep Ocean (Southern East Pacific Rise, 16.5°–18.0°S), Laura E. Moore, Randelle M. Bundy, Joseph A. Resing, Scott M. White, Tamara Baumberger, Peter N. Sedwick, Nathaniel J. Buck, Anson M. Antriasian, Isaac Keohane

Faculty Publications

In addition to high-temperature vents, lower-temperature flow (LTF) (< 300°C) is abundant along mid-ocean ridges and contributes globally-important fluxes of heat and water along with largely-unconstrained geochemical influences on the ocean. We examined the impact of on-axis LTF on the chemical composition of the overlying water column (< 40 m above seafloor) along the 16.5°–18.0°S sector of the ultrafast-spreading southern East Pacific Rise using autonomous underwater vehicle Sentry surveys and conductivity-temperature-depth rosette casts. LTF sites were typically spatially isolated from high-temperature systems and imparted unique chemical signatures to the overlying ocean. Water column samples impacted by LTF exhibited low particulate iron:sulfur ratios and high methane: total-dissolvable manganese ratios, whereas samples influenced by high-temperature venting exhibited opposite trends. We confirmed that LTF imparts a distinct and measurable chemical signature to the water column, independent from high-temperature vents. Isolated, on-axis LTF will be important to consider when assessing hydrothermal circulation impacts upon ocean biogeochemistry.

Roles Of Mads-Box Transcription Factors In Plant Responses To Abiotic And Biotic Stresses, Na Liu, Zihao Liu, Guangxiang Tian, Shijia Zhao, Hao Chu, Yiheng Hu, Yingfan Zhao, Yanyan Zhang, Kun Cheng, Daowen Wang, Wenming Zheng, Zhengqing Fu, Xu Wang

Faculty Publications

Plants deploy sophisticated adaptive mechanisms to mitigate the detrimental effects of abiotic stresses (drought, salinity, temperature extremes, and heavy metals) and biotic stresses (pathogens and senescence) on growth and productivity. Central to these responses are transcription factors (TFs) that orchestrate stress-responsive gene networks. Among TF families, MADS-box proteins, characterized by their evolutionarily conserved DNA-binding domain, function as pivotal regulators of developmental plasticity and stress adaptation. While recent advances have clarified their roles in abiotic stress tolerance, a systematic integration of their functions in biotic stress responses has yet to be achieved. This review synthesizes current knowledge on how MADS-box TFs …

Impact Of Collodion Thickness On Fission Track Generation Within Lexan Employed For Nuclear Forensic Analyses, Ryan K. Chapman, Zachary P. Meisel, Abigail A. Bickley

Faculty Publications

We report results from a computational study of fission track damage within a Lexan substrate caused by ²³⁵U suspended within a collodion film of varied thickness. MCNP6.3 was used to model energy deposition and displacements per atom within a Lexan film coated by a film of collodion, located within the air-filled 6 inch dry tube of a TRIGA reactor. The collodion layer was varied between 20 and 100 μm thickness, resulting in an 8.8% difference in energy deposition and 12% difference in displacements-per-atom within the Lexan substrate. These findings indicate that collodion adhesive thickness has a moderate impact on …

Planning For The Transition To Adulthood: Parent Perspectives On The Planning Process And Experiences Of Young Adults With Fragile X Syndrome, Leonard Abbeduto, Jessica Klusek, Julie Lounds Taylor, Angela John Thurman

Faculty Publications

Objectives Relatively few young adults with fragile X syndrome (FXS) meet the normative expectations of adulthood, although there is heterogeneity in this regard. The present study examined the preparation for the transition to adulthood experienced by young adults with FXS and their parents.

Methods Thirty-nine young adults with FXS and their primary caregiving parents participated. Those with FXS were in their last year of, or had recently left, high school or a formal transition program. Parents completed surveys about the formal transition planning process. We examined the role of the young adults’ adaptive behavior skills in transition planning.

Results Among …

Planning For The Transition To Adulthood: Parent Perspectives On The Planning Process And Experiences Of Young Adults With Fragile X Syndrome, Leonard Abbeduto, Jessica Klusek Ph.D., Ccc-Slp, Julie Lounds Taylor, Angela John Thurman

Faculty Publications

Objectives

Relatively few young adults with fragile X syndrome (FXS) meet the normative expectations of adulthood, although there is heterogeneity in this regard. The present study examined the preparation for the transition to adulthood experienced by young adults with FXS and their parents.

Methods

Thirty-nine young adults with FXS and their primary caregiving parents participated. Those with FXS were in their last year of, or had recently left, high school or a formal transition program. Parents completed surveys about the formal transition planning process. We examined the role of the young adults’ adaptive behavior skills in transition planning.

Results

Among …

Comparison Of Anomaly Detection Methods On Event-Based Vision Sensor Data In A High Noise Environment, Will Johnston, Anthony L. Franz, Shannon R. Young, Rachel Oliver, Zachary Theis, Brian Mcreynolds, Michael L. Dexter

Faculty Publications

Event-based vision sensors (EVSs) provide unique frequency analysis opportunities due to their event data output and high temporal resolution. Anomaly detection methods used in hyperspectral analysis can be used on the event frequency spectra to detect targets. However, the introduction of a strong, flickering interfering source can reduce the EVS sensitivity and obscure targets of interest. Previous work presented a method showing that targets could still be detected through an overwhelming source using frequency analysis, background suppression, and statistical filtering. This paper extends that research and compares the ability of five different eigenanalysis anomaly detection methods (principal component background suppression …