Digital Commons Network^™

The Detection Of Marine Microseismic Activity With The Cuore Tonne-Scale Cryogenic Experiment, D. Q. Adams, C. Aldunio, K. Alfonso, A. Armatol, Frank Avignone Iii, O. Azzolini, G. Bari, F. Bellini, G. Benato, M. Beretta, C. Bucci, J. Camilleri, A. Caminata, A. Campani, J. Cao, C. Capelli, S. Capelli, L. Capelli, J. Capelli, A. Caminata, Et. Al.

Faculty Publications

Vibrations from experimental setups and the environment are a persistent source of noise for low-temperature calorimeters searching for rare events, including neutrinoless double beta (0νββ) decay or dark matter interactions. Such noise can significantly limit experimental sensitivity to the physics case under investigation. Here, we report the detection of marine microseismic vibrations using mK-scale calorimeters. This study employs a multi-device analysis correlating data from CUORE, the leading experiment in the search for 0νββ decay with mK-scale calorimeters, and the Copernicus Earth Observation program, revealing the seasonal impact of Mediterranean Sea activity on CUORE’s …

Translating Community Voices To Build Meaningful Engagement: A Community Health Worker Led Study, Lauren Workman, Julie Smithwick Msw, Chw, Kimberly C. Rawlinson, Mark M. Macauda, Lashandra Morgan, Whitney Davis

Faculty Publications

Background: Understanding community perspectives on barriers and facilitators of meaningful engagement, equitable decision making, and sustainable community improvement is critical for advancing health equity. Community Health Workers can make significant contributions to research teams, as they are bridges into communities and bring unique perspectives. This study describes community voices on barriers to authentic engagement and insights on strategies to build trust, as well as the way in which these data were translated into a tangible assessment tool and a community-facilitated learning academy.

Methods: A team of Community Health Workers led a series of 24 ‘open mic’ discussions in four South …

A New Highly Oxygen-Deficient And Cubic Pr3Zro8-Δ For Intermediate-Temperature Thermochemical Production Of Oxygen And Hydrogen, Jiaxin Lu, Yongliang Zhang, Luhong Chen, Yan Chen, Ke An, Yasser Shoukry, Xinfang Jin, Zhi-Hao Wang, Sai Mu, Kevin Huang

Faculty Publications

Two-step thermochemical cycles offer a clean route for hydrogen and oxygen production but are typically limited to high temperatures exceeding 1500 °C. Lowering operating temperatures would enable the use of alternative heat sources such as industrial waste heat. Here, we report Pr₃ZrO₈ as a new enabling material for efficient intermediate-temperature redox cycling, with thermal reduction at 900 °C in argon and steam oxidation at 400 °C. Pr₃ZrO₈ adopts a face-centered cubic structure similar to CeO₂ but exhibits significantly greater oxygen deficiency, achieving average oxygen and hydrogen fluxes of 331.7 and 70.3 µmol·g-1, respectively, …

Trends In Self-Reported Responses To Nutrition Facts Labels Before And After Nutrition Labeling Policy Implementation: A Comparison Of Adults In The United States And Mexico, Jim Thrasher Ph.D., Ma, Ms, Victor Vilalobos, Dai Fang, Alejandra Jáuregui, Alejandra Contreras-Manzano, Rachel Davis Ph.D., Lana Vanderlee, Christine M. White, Rachel B. Acton, James W. Hardin, Edward A. Frongillo Jr. Ph.D., Simón Barquera, David Hammond

Faculty Publications

Background

Objectives

Methods

Digital Twin Enabled Robot Collision Detection Using Time Series Forecasting, Fadi El Kalach, Mojaba A. Farahani, Philip Samaha, Thorsten Wuest, Ramy Harik

Faculty Publications

The advent of Industry 4.0 has reshaped modern manufacturing, driven by breakthroughs in cutting-edge technologies. A key example is the widespread deployment of sensors, which capture and transmit large volumes of operational data. This data surge has fueled the development of advanced Artificial Intelligence (AI) applications, enhancing manufacturing intelligence and efficiency. A key enabler of such intelligence is Time-Series Forecasting (TSF), which leverages historical data to predict future trends and events, thereby providing actionable insights for proactive decision-making. In parallel, Digital Twin (DT) technology has gained significant prominence due to its capacity for bidirectional communication with physical manufacturing systems, enabling …

Evaluation Of The Consistency Of A Speech Verification System With Human Raters In Early Literacy Screening Assessments, Yaacov Petscher, Jennifer O'Sullivan, Hugh W. Catts, Ashley Edwards, Lisa Fitton Ph.D., Ccc-Slp

Faculty Publications

This study investigates the use of a speech verification system (SVS) technology, a form of automatic speech recognition (ASR), in the assessment of children's reading skills. Despite the growing integration of ASR systems in educational assessment, significant challenges persist, particularly due to the acoustic, pronunciation and dialectal variability inherent in children's speech. Our research evaluated the consistency between human rater (HR) and speech verification system (SVS) scores produced from SoapBox Labs across three linguistic tasks—phoneme blending, expressive vocabulary and word reading. Results reveal variability in agreement rates, with SVS showing lower consistency with human raters in phonologically complex tasks like …

Evaluation Of The Consistency Of A Speech Verification System With Human Raters In Early Literacy Screening Assessments, Yaacov Petscher, Jennifer O'Sullivan, Hugh W. Catts, Ashley Edwards, Lisa Fitton Ph.D., Ccc-Slp

Faculty Publications

This study investigates the use of a speech verification system (SVS) technology, a form of automatic speech recognition (ASR), in the assessment of children's reading skills. Despite the growing integration of ASR systems in educational assessment, significant challenges persist, particularly due to the acoustic, pronunciation and dialectal variability inherent in children's speech. Our research evaluated the consistency between human rater (HR) and speech verification system (SVS) scores produced from SoapBox Labs across three linguistic tasks—phoneme blending, expressive vocabulary and word reading. Results reveal variability in agreement rates, with SVS showing lower consistency with human raters in phonologically complex tasks like …

Transformative Technology And Shortening The Statute Of Limitations Applicable To Taxpayers, Jay A. Soled, Leslie Book

Faculty Publications

When it comes to submitting tax returns and paying taxes, most taxpayers understand the nature of their civic duties and do so dutifully, if not willingly. However, many taxpayers fail to grasp why the IRS has such an elongated time period—namely, three years— to audit their tax returns and propose an assessment. Indeed, when the IRS exercises its oversight authority, records may no longer be available, and memories may be dulled.

Since the original institution of the three-year tax assessment limitations period nearly a century ago, tremendous technological strides have been made. Indeed, over ninety percent of income tax returns …

Integrating Future Factory-To-Factory (F2f) Manufacturing Through System Of Systems Engineering (Sose): A Framework For Capability Beyond Constituent Systems, Polinpapilinho F. Katina, Hengtao Tang Ph.D., Anouar Hallioui

Faculty Publications

System of Systems Engineering (SoSE) is an emerging discipline focused on the design, integration, and evolution of metasystems—composed of multiple autonomous yet interdependent systems. These systems of systems (SoS) offer capabilities that exceed those of any individual constituent systems by enabling synergistic coordination, interoperability, and dynamic adaptation across diverse operational contexts. This study pursued three primary objectives: (i) to examine the role of integration in enabling emergent capabilities beyond those of individual systems, (ii) to explore SoSE as a framework for orchestrating Future Factory-to-Factory (F2F) Manufacturing, and (iii) to assess the implications of SoSE to address volatile, uncertain, complex, and …

Assessing The Threat Of Southern Pine Beetle To Pitch Pine In Acadia National Park, Caroline R. Kanaskie, Mark J. Ducey, Jeff R. Garnas

Faculty Publications

Many of the mountain summits of Acadia National Park (ACAD) are dominated by Pinus rigida (Pitch Pine). The ACAD Pitch Pine population is particularly valuable due to its position at the northernmost edge of the species’ range, its association with unique animal and plant communities, and its contribution to the aesthetics of the park. Pitch Pine is host to Dendroctonus frontalis (Southern Pine Beetle [SPB]). As the name suggests, SPB is native to the southeastern US, and can kill large numbers of healthy pines via mass-attack. With warming winters, SPB can establish and persist further north than ever before, presenting …

Uav-Deployable Open-Source Sensor Nodes For Spatial And Temporal In Situ Water Quality Monitoring And Mapping, Matthew Burnett, Mohamed Abdelwahab, Joud N. Satme, Austin Downey, Gabriel Barahona Smith, Antonio Fonce, Jasim Imran

Faculty Publications

Cost efficient, spatially resolved water quality monitoring is essential for managing pollution and protecting aquatic ecosystems. This study presents a low-cost (approximately USD 200), open-source, unmanned aerial vehicle (UAV)-deployable in situ sensor node for real-time assessment of surface-water conditions. The system integrates sensors for pH, turbidity, temperature, and total dissolved solids (TDSs), with onboard data logging and real-time clock (RTC) synchronization. Bench validation of the sensor package yielded mean absolute percentage errors of 1.34% for pH, 5.23% for TDS, and 0.81% for temperature, and the device operated continuously for 42 h. Field deployment demonstrated its ability to resolve spatial gradients, …

Structural And Mechanical Properties Facilitate Shock Wave Damping By Helmet-Like Orbital Hoods In Snapping Shrimp, Mia Kazel, Rebekah E. Cammack, Alexandra C.N. Kingston, Ahmed A. Alshareef, Tarek Shazly, Daniel Isaac Speiser

Faculty Publications

Snapping shrimp damp the shock waves they produce and use as weapons with a helmet-like structure termed the orbital hood. Here, we ask how structural and material properties contribute to shock wave damping by orbital hoods in Alpheus heterochaelis. Using tensile mechanical testing, we find orbital hoods are approximately half as stiff as carapace and have twice the capacity for viscous energy dissipation. Microstructural features probably contribute to tissue-specific mechanical properties: the endocuticles of orbital hoods have almost twice as many lamellae as those of carapaces despite being half as thick, suggesting a mechanism for enhanced material mobility underlying …

Equal Chances Or Fewer Victims? Moral Judgments In Autonomous Vehicle Dilemmas, Alexander Matros, Eren Bilen, Leonid Matros

Faculty Publications

We examine the moral dilemma of how autonomous vehicles (AVs) should be programmed to act in unavoidable crash scenarios involving trade-offs between saving one life and saving many. We report results from three experimental studies that investigate individuals’ preferences over alternative AV decision rules in stylized crash scenarios. Across designs, we find robust support for a probabilistic decision rule that assigns passengers and pedestrians equal ex ante chances of survival (a 50:50 rule). This preference persists across different framings and remains salient even when additional probabilistic options are introduced.

Theoretical And Conceptual Approaches To Journalism Education, August E. Grant, Jeffrey S. Wilkinson, G. Nathan Carnes

Faculty Publications

Many journalism programs embrace the teaching hospital model because of its practical approach, employing working journalists as journalism educators. However, critics contend a more conceptual model of journalism education is needed. This essay explores the literature on journalism education models and seeks to integrate the teaching hospital and entrepreneurial journalism approaches with the revised Bloom's Taxonomy and Fink's Taxonomy of Significant Learning. Combined, these models provide a solid theoretical foundation for practical, applied journalism education. This essay applies these four models to journalism education, yielding a matrix of dimensions that can guide the creation or modification of curricula as well …

Construction Project Performance Research: A Bibliometric, Scientometric, And Qualitative Review (1989–2023), Abdelnaser Abdelhameed, Mohamed S. Yamany, Ahmed Abdelaty, Emad Elbeltagi

Faculty Publications

Despite the significant increase in publications on construction project performance (CPP), there is a deficiency of research that rigorously assesses and synthesizes previous studies to delineate the field’s development, themes, and research gaps. This article employs quantitative and qualitative methodologies to critically evaluate studies on CPP published over the last three decades and indexed in the Scopus database. The quantitative approach includes bibliometric searches and scientometric analyses to assess the extent of research interest and achievements. The qualitative methodology aims to conduct thorough content analysis to classify existing material based on prevalent themes. The results demonstrate an exponential growth of …

Boronate Esters For The Binding And Detection Of Low Molecular Weight Volatile Amines, Xiaoning Li, James Boyt, Steven Sloope, Luke T. Lackovic, Mark D. Smith, James J. Lavingne

Faculty Publications

Conjugated thiophene-based diboronate esters, 1–4, were synthesized to investigate how substituents on catechol alter the Lewis acidity and accessibility to boron, and influence binding interactions with low molecular weight Lewis basic amines. Crystallographic analysis indicated that both boron centres bind analyte and that Lewis base coordination induces deplanarization of the conjugated system. Spectroscopic studies demonstrate that amine binding disrupts conjugation, producing distinct and reproducible optical responses that depend on analyte basicity and structure, with association constants in organic solvent ranging from 10³ to 10⁶ M⁻¹. Quantitative binding analyses indicate strong negative cooperativity between the two boron …

Future Trends In Cybersecurity: A Meta-Review, Yara Mohammed, Manar Alsaid, Gahangir Hossain

Faculty Publications

The increasing importance of cybersecurity in protecting digital assets, data and infrastructures necessitates a reevaluation of research priorities within the discipline. As of today, numerous emerging cybersecurity topics are gaining significant importance in both academic research and industry applications. To identify recent trends in cybersecurity topics, this study extracts scholarly articles from two prestigious academic databases, the ACM Digital Library, and Google Scholar, covering the period from early 2015 to late 2024.Through a systematic identification of trends and focal points in cybersecurity research, a comprehensive analysis is facilitated, including Latent Dirichlet Allocation (LDA), Biterm Topic Modeling (BTM), keyword frequencies, and …

Research Journal 2026: People And Places, José A. Rivera Ph.D

Faculty Publications

José Rivera narrates his life history from adolescence into college years, university teaching, research career, publications, and ends with post-retirement service as a giving back to community. For most of his term as an academic, his research focus was on community-based organizations that he terms “peoples’ institutions”: acequia associations and mutual help societies. For data, he conducted field work in New Mexico and the American Southwest as well as internationally, primarily in Mexico, Peru, Spain and the Philippines. While at these locations, he interviewed people, collected maps, researched archives, and took photographs as ethnographic evidence of people and places. His …

The Brady Materiality Standard, Brandon L. Garrett, Adam M. Gershowitz

Faculty Publications

The Brady doctrine requires prosecutors to disclose all favorable and material evidence to the defense. To effectuate that rule, the U.S. Supreme Court has defined materiality as a “reasonable probability” that the evidence would have affected the outcome at trial. But apart from that definition, the Court has resisted offering any further guidance to lower courts. While far too little is known about how Brady materiality claims are actually adjudicated, there is strong evidence that courts often reject Brady claims involving withheld evidence on the grounds that the evidence was not significant enough to be material.

To examine how Brady …

Characterization Of Ru(Ii) Polypyridyl Photosensitizers Bound To Tio2 Supports Through A New Covalent Metal-Ester Bonding Motif, D. M. S. C. Dissanayake, Christopher T. Lebarron, Laura C. Maybach, Joseph J. Kuchta Iii, Seyyedamirhossein Hosseini, Aaron K. Vannucci

Faculty Publications

The development of photoelectrochemical (PEC) devices involves the attachment of molecular photosensitizers onto solid supports. Particularly significant to this work are PECs that rely on ruthenium-based photosensitizers on high band gap metal oxide (MOx) supports. In this study, we have explored a new ester binding motif (MOx-ester) to covalently attach a ruthenium polypyridyl photosensitizer to TiO₂. This new MOx-ester photoanode is compared to the traditional photoanodes that utilize acid/base binding groups to attach the molecular Ru sensitizers to TiO₂. The new MOx-ester binding motif is characterized by cyclic voltammetry UV-Vis, solid state ¹³C NMR, and …

Psychological Resilience In The Covid-19 Response: A Systematic Review For Future Public Health Preparedness, Atena Pasha, Abdul-Hanan Saani Inusah, Jannatun Nayem, Xiaoming Li, Shan Qiao

Faculty Publications

Objective: The COVID-19 pandemic has highlighted the importance of psychological resilience for well-being. While several reviews have addressed resilience in specific populations or contexts, few have synthesized global literature across diverse populations. This review examines psychological resilience across diverse populations, focusing on measurement, associated factors, and future public health preparedness strategies. Method: Guided by the PRISMA, a thorough search of PsycINFO, PubMed, ScienceDirect, and Web of Science was conducted in February 2024, including quantitative studies considering psychological resilience during the COVID-19 pandemic published in peer-reviewed English journals from 2020 to 2024, using search terms relevant to psychological resilience and COVID-19. …

Community Synchrony In Aquatic Macroinvertebrates Is Unrelated To Environmental Variability But Differs Among Functional Feeding Groups, Anthony J. Pignatelli, Tad Dallas

Faculty Publications

Environments are becoming increasingly more variable, as a function of climate change. As this occurs, species may be exposed to conditions outside their preferred range. Such variability in the environment can influence community abundance as individual species respond either similarly (synchronous dynamics) or differently (asynchronous dynamics) to each other. These fluctuations in abundances are important for understanding the impact of environmental variability on species temporal fluctuations in aquatic macroinvertebrates. This group of organisms is species-rich and highly sensitive to environmental fluctuations. We analyzed 18 stream macroinvertebrate communities sampled by the National Ecological Observatory Network between 2014 and2022 to understand how …

Improving Lexicosemantic Impairments In Post-Stroke Aphasia Using Rtms Targeting The Right Anterior Temporal Lobe, Sophie Arheix-Parras, Sophia R. Moore, Rutvik H. Desai

Faculty Publications

Background/Objectives: Repetitive Transcranial Magnetic Stimulation (rTMS) can enhance post-stroke aphasia recovery. The right Inferior Frontal Gyrus is the most common target in rTMS studies for inhibitory stimulation. However, lexicosemantic processes involve a large brain network including the Anterior Temporal Lobe (ATL). We hypothesize that rTMS targeting the ATL will improve lexicosemantic impairments in people with post-stroke aphasia. Methods: In a Single-Case Experimental Design, three people with post-stroke aphasia with lexicosemantic impairments performed Picture and Auditory Naming and Semantic Decision tasks five times a week for one or two weeks to establish baseline scores. Then, each participant received continuous inhibitory Theta …

When Disasters Trigger Cyber Vulnerabilities: Mapping Physical-Digital Interdependencies In Critical Infrastructure Systems, Dikshya Panta, Sicheng Wang, Aditya Sapkota, Prakash Ranganathan

Faculty Publications

Critical infrastructure (CI) systems such as power, water, communications, and emergency services are increasingly exposed to compound risks in which natural disasters and cyber incidents interact and amplify one another. Traditional risk assessments often isolate physical and digital threats, overlooking the cascading dependencies that emerge when operational stress, emergency reconfiguration, and adversarial exploitation coincide. This study conducts a 2019–2025 scoping review and introduces a Geographic Information System (GIS) driven six-stage disaster cyber compounding framework that characterizes, maps, and operationalizes compound risk across interdependent CI sectors. The framework integrates a common operating picture, analytic situational understanding, exposure mapping, threat-fingerprint encoding, detection …

The Age And Composition Of The Voyager Seamounts: Evidence For A Long-Lived Marquesas Mantle Source, Andrea Balbas, Hannah Paradis, Kevin Konrad, Valerie A. Finlayson, Michael Bizimis, Stephanie Anderson, Christopher Kelley, Nicole A. Raineault, Beth N. Orcutt

Faculty Publications

We present new observations on the dynamics and locations of deep mantle reservoirs derived from the ages and compositions of Voyager Seamount Chain lava flows. The previously unexplored Voyager Seamount Chain trends NW–SE between the Mid-Pacific Mountains and the Northwestern Hawaiian Ridge. Volcanic samples were recovered from the chain during the Ocean Exploration Trust expedition NA134. The lava flows are alkalic to highly alkalic in composition. Ages ranged from 81 to 86 Ma (n = 8), with the oldest ages in the NW and an age-progression toward the SE. The Voyager age-progression continues southward through the Northern Line Islands …

Cognitive Dysfunction In Women With The Fmr1 Premutation During Midlife: The Lassi-L Reveals Curvilinear Cgg-Dependent Risk Buffered By College Education, Jessica Klusek, Jillian Gierman, Amanda Fairchild, Andreana M. Benitez, Elizabeth Berry-Kravis, Marsha R. Mailick

Faculty Publications

Background

The FMR1premutation (FXPM) is a common genetic variant (∼1:151 females) linked to increased risk for neurodegenerative disease. Midlife cognitive phenotypes remain poorly defined.

Objective

To characterize episodic memory performance in midlife FXPM women and examine potential risk moderation via genetic (i.e., FMR1CGG repeat expansion size) and environmental (i.e., college degree attainment) influences.

Methods

Eighty-eight FXPM women and 84 matched controls, aged 30–55, completed the Loewenstein-Acevedo Scales for Semantic Interference and Learning (LASSI-L), a measure of specific episodic memory processes sensitive to subtle Alzheimer's disease (AD)-related cognitive and neuropathological changes.

Results

FXPM women demonstrated deficits in proactive semantic …

Effects Of Social Support Interventions On Medical Patient Survival: A Meta-Analysis Of Non-Randomized Clinical Trials, Ksenia Illinykh-Bair, Timothy B. Smith

Faculty Publications

Background: Prior research confirms that social support promotes resilience among medical patients with chronic illness. Beyond emotional benefits, research has increasingly shown the importance of social support on physical health outcomes. Therefore, identifying and evaluating interventions that increase social support among medical patients with chronic conditions is a priority for healthcare. Methods: This meta-analysis summarized data from 39,493 medical patients across 14 non-randomized trials that had been identified by a prior review of the survival benefits of social support interventions. Results: Across four studies reporting hazard ratio data, the results failed to reach statistical significance (HR = 2.10, 95% CI …

Statewide Sanctuary Policies And Female Homicide Rates, 2016–2021, Kaitlin M. Boyle, Sophia Shaiman, Veronica Valencia Gonzalez, Wendy Regoeczi

Faculty Publications

The current study examines whether state immigration enforcement policies, such as sanctuary policies that limit local police cooperation with federal immigration enforcement, are associated with female homicide rates in the United States (2016–2021). We examine crude female homicide rates from the National Violent Death Reporting System (N = 244 state-years), which we stratify by race and ethnicity (Hispanic of all races, non-Hispanic Black, and non-Hispanic White) and victim–suspect relationship (domestic vs. stranger homicide). State-years with policies that are more protective of immigrants were not associated with higher homicide rates for any group. Instead, state-years with these policies reported significantly lower …

Pdr-Stgcn: An Enhanced Stgcn With Multi-Scale Periodic Fusion And A Dynamic Relational Graph For Traffic Forecasting, Jie Hu, Bingbing Tang, Langsha Zhu, Yiting Li, Jianjun Hu, Guanci Yang

Faculty Publications

Accurate traffic flow prediction is a core component of intelligent transportation systems, supporting proactive traffic management, resource optimization, and sustainable urban mobility. However, urban traffic networks exhibit heterogeneous multi-scale periodic patterns and time-varying spatial interactions among road segments, which are not sufficiently captured by many existing spatio-temporal forecasting models. To address this limitation, this paper proposes PDR-STGCN (Periodicity-Aware Dynamic Relational Spatio-Temporal Graph Convolutional Network), an enhanced STGCN framework that jointly models multi-scale periodicity and dynamically evolving spatial dependencies for traffic flow prediction. Specifically, a periodicity-aware embedding module is designed to capture heterogeneous temporal cycles (e.g., daily and weekly patterns) and …

Fatigue Crack Length Estimation Using Acoustic Emissions Technique-Based Convolutional Neural Networks, Asaad Migot, Ahmed Saaudi, Roshan Joseph, Victor Giurgiutiu

Faculty Publications

Fatigue crack propagation is a critical failure mechanism in engineering structures, requiring meticulous monitoring for timely maintenance. This research introduces a deep learning framework for estimating fatigue fracture length in metallic plates through acoustic emission (AE) signals. AE waveforms recorded during crack growth are transformed into time-frequency images using the Choi–Williams distribution. First, a clustering system is developed to analyze the distribution of the AE image-based dataset. This system employs a CNN-based model to extract features from the input images. The AE dataset is then divided into three categories according to fatigue lengths using the K-means algorithm. Principal Component Analysis …