Digital Commons Network^™

Unpolarized Gpds At Small X And Non-Zero Skewness, Yuri V. Kovchegov, M. Gabriel Santiago, Huachen Sun

Physics Faculty Publications

We study the small-x asymptotics of unpolarized generalized parton distributions (GPDs) and generalized transverse momentum distributions (GTMDs). Unlike the previous works in the literature, we consider the case of non-zero (but small) skewness while allowing for non-linear contributions to the evolution equations. We first show that unpolarized GPDs and GTMDs at small x are related to the eikonal dipole amplitude N, whose small-x evolution is given by the BK/JIMWLK evolution equations, and to the odderon amplitude 𝒪, whose evolution is also known in the literature. We then show that the effect of non-zero skewness ξ ≠ 0 is to modify …

Real-Time Estimators For Scattering Observables: A Full Account Of Finite-Volume Errors For Quantum Simulation, Ivan M. Burbano, Marco A. Carrillo, Rana Urek, Anthony N. Ciavarella, Raul A. Briceno

Physics Faculty Publications

The real-time correlators of quantum field theories can be directly probed through new approaches to simulation, such as quantum computing and tensor networks. This provides a new framework for computing scattering observables in lattice formulations of strongly interacting theories, such as lattice quantum chromodynamics. In this paper, we prove that the proposal of real-time estimators of scattering observables is universally applicable to all scattering observables of gapped quantum field theories. All finite-volume errors are exponentially suppressed, and the rate of this suppression is controlled by the regulator considered, namely, a displacement of the spectrum of the theory into the complex …

Measurement Of The Near-Threshold J/Ψ Photoproduction Cross Section With The Clas12 Experiment, Clas Collaboration, P. Chatagnon, V. Kubarovsky, R. Paremuzyan, S. Stepanyan, M. Tenorio, R. Tyson, A. G. Acar, P. Achenbach, J. S. Alvarado, M. J. Amaryan, W. R. Armstrong, H. Avakian, N. A. Baltzell, L. Barion, M. Bashkanov, M. Battaglieri, F. Benmokhtar, A. Bianconi, A. S. Biselli, S. Boiarinov, M. Bondi, F. Bossù, K. -Th Brinkmann, W. J. Briscoe, S. Bueltmann, V. D. Burkert, T. Cao, D. S. Carman, A. Celentano, H. Chinchay, G. Ciullo, P. L. Cole, A. D' Angelo, N. Dashyan, M. Defurne, R. De Vita, A. Deur, S. Diehl, C. Dilks, C. Djalali, M. Dugger, R. Dupré, H. Egiyan, M. Ehrhart, A. El Alaoui, L. El Fassi, L. Elouadrhiri, M. Farooq, S. Fegan, R. F. Ferguson, I. P. Fernando, E. Ferrand, A. Filippi, C. Fogler, K. Gates, G. P. Gilfoyle, D. I. Glazier, R. W. Gothe, Y. Gotra, B. Gualtieri, K. Hafidi, H. Hakobyan, F. Hauenstein, T. B. Hayward, D. Heddle, M. Hoballah, D. Holmberg, M. Holtrop, C. E. Hyde, Y. Ilieva, D. G. Ireland, E. L. Isupov, H. S. Jo, K. Joo, T. Kageya, M. Kerr, A. Kim, H. T. Klest, V. Klimenko, I. Korover, A. Kripko, S. E. Kuhn, L. Lanza, S. Lee, P. Lenisa, X. Li, D. Marchand, D. Martiryan, V. Mascagna, B. Mckinnon, A. Mehta, R. G. Milner, T. Mineeva, M. Mirazita, V. I. Mokeev, E. F. Molina Cardenas, C. Munoz Camacho, P. Nadel-Turonski, K. Neupane, D. Nguyen, S. Niccolai, G. Niculescu, M. Osipenko, M. Ouillon, P. Pandey, M. Paolone, L. L. Pappalardo, E. Pasyuk, C. Paudel, S. J. Paul, W. Phelps, N. Pilleux, L. Polizzi, J. Poudel, J. W. Price, Y. Prok, A. Radic, J. Richards, M. Ripani, P. Rossi, A. A. Rusova, C. Salgado, S. Schadmand, A. Schmidt, M. B. C. Scott, Y. G. Sharabian, E. V. Shirokov, S. Shrestha, E. Sidoretti, N. Sparveris, I. I. Strakovsky, S. Strauch, F. Touchte Codjo, M. Ungaro, D. W. Upton, P. S. H. Vaishnavi, S. Vallarino, C. Velasquez, L. Venturelli, H. Voskanyan, A. Vossen, E. Voutier, Y. Wang, D. P. Watts, U. Weerasinghe, X. Wei, M. H. Wood, L. Xu, Z. Xu, Z. W. Zhao, V. Ziegler, M. Zurek

Physics Faculty Publications

We present measurements of the total and differential cross sections for near-threshold 𝐽/ψ photoproduction obtained with the CLAS12 detector at the Thomas Jefferson National Accelerator Facility. The results are based on data collected during the fall 2018 and spring 2019 running periods, using electron beams with energies of 10.6 and 10.2 GeV, respectively, scattered off a liquid-hydrogen target. Near-threshold J/ψ photoproduction offers a unique sensitivity to the strong interaction in the nonperturbative regime of quantum chromodynamics (QCD). The energy dependence of the cross section constrains the underlying J/ψ production mechanisms, including multigluon exchange and potential baryonic excitations. Additionally, the t …

Proton Transparency And Neutrino Physics: New Methods And Modeling, Clas Collaboration, S. Dytman, M. Betancourt, N. Steinberg, L. B. Weinstein, A. Ashkenazi, J. Tena-Vidal, A. Papadopoulou, G. Chambers-Wall, J. Smith, P. Achenbach, J. S. Alvarado, M. J. Amaryan, H. Atac, L. Baashen, N. A. Baltzell, L. Barion, M. Bashkanov, M. Battaglieri, F. Benmokhtar, A. Bianconi, A. S. Biselli, M. Bondi, F. Bossù, S. Boiarinov, K. -Th. Brinkmann, W. J. Briscoe, W. K. Brooks, S. Bueltmann, V. D. Burkert, T. Cao, R. Capobianco, D. S. Carman, J. C. Carvajal, P. Chatagnon, V. Chesnokov, H. Chinchay, G. Ciullo, P. L. Cole, M. Contalbrigo, A. D'Angelo, N. Dashyan, R. De Vita, M. Defurne, A. Deur, S. Diehl, C. Djalali, R. Dupre, H. Egiyan, A. El Alaoui, L. El Fassi, L. Elouadrhiri, M. Farooq, S. Fegan, I. P. Fernando, A. Filippi, G. Gavalian, G. P. Gilfoyle, R. W. Gothe, L. Guo, K. Hafidi, H. Hakobyan, M. Hattawy, F. Hauenstein, T. B. Hayward, D. Heddle, A. Hobart, M. Holtrop, Yu-Chun Hung, Y. Ilieva, D. G. Ireland, E. L. Isupov, H. Jiang, H. S. Jo, S. Joosten, M. Khandaker, A. Kim, F. J. Klein, V. Klimenko, A. Kripko, V. Kubarovsky, S. E. Kuhn, L. Lanza, P. Lenisa, D. Marchand, V. Mascagna, D. Matamoros, B. Mckinnon, T. Mineeva, M. Mirazita, V. Mokeev, C. Munoz Camacho, P. Nadel-Turonski, T. Nagorna, K. Neupane, D. Nguyen, S. Niccolai, M. Osipenko, L. L. Pappalardo, R. Paremuzyan, E. Pasyuk, S. J. Paul, W. Phelps, N. Pilleux, S. Polcher Rafael, J. W. Price, Y. Prok, T. Reed, J. Richards, M. Ripani, J. Ritman, A. A. Rusova, S. Schadmand, A. Schmidt, R. A. Schumacher, M. B. C. Scott, Y. G. Sharabian, E. V. Shirokov, S. Shrestha, N. Sparveris, M. Spreafico, S. Stepanyan, I. Stakovsky, S. Strauch, J. A. Tan, M. Tenorio, N. Trotta, R. Tyson, M. Ungaro, D. W. Upton, S. Vallarino, L. Venturelli, T. Vittorini, H. Voskanyan, E. Voutier, Y. Wang, D. P. Watts, U. Weerasinghe, X. Wei, M. H. Wood, L. Xu, N. Zachariou

Physics Faculty Publications

Extracting accurate results from neutrino oscillation and cross section experiments requires accurate simulation of the neutrino-nucleus interaction. The rescattering of outgoing hadrons (final state interactions) by the rest of the nucleus is an important component of these interactions. We present a new measurement of proton transparency (defined as the fraction of outgoing protons that emerge without significant rescattering) using electron-nucleus scattering data recorded by the CLAS detector at Jefferson Laboratory on helium, carbon, and iron targets. This analysis uses a new data-driven method to extract the transparency. It defines transparency as the ratio of electron-scattering events with a detected proton …

Studying Electroweak Few-Body Observables In Chiral Effective Field Theory, Alex Gnech

Physics Faculty Publications

The use of nuclei to study electroweak probes is becoming increasingly relevant experimentally. The success of dark matter and neutrino experiments strongly depends on the ability to control nuclear effects in order to extract the fundamental parameters associated with external probes. Therefore, reliable theoretical calculations of nuclear structure and reactions, with well-controlled errors, are crucial for the success of experimental efforts. Currently, chiral effective field theory (χEFT) coupled with {\it ab-initio} methods represents one of the best approaches that fulfills these requirements. To use this approach as a tool for studying fundamental physics, it is essential to validate it against …

Dispersion Relations And The Light-Hadron Spectrum, Arkaitz Rodas

Physics Faculty Publications

Light hadron spectroscopy sits in the non-perturbative regime of QCD, where flexible fits often compete with firm principles. Over the past two decades, dispersion relations have become a practical, numerical tool to solve these issues, enabling first-principles analyses and delivering robust resonance parameters. With ππ scattering as an example, we briefly summarize the current landscape, highlight dispersive work that has resolved long-standing debates and set precision standards, and include recent examples of dispersive analyses of lattice QCD results.

Next-To-Next-To-Leading Power Corrections To Unpolarized Semi-Inclusive Deep Inelastic Scattering, Ian Balitsky, Alexei Prokudin

Physics Faculty Publications

Semi-Inclusive Deep Inelastic Scattering (SIDIS) is a key tool for exploring the three-dimensional structure of the nucleon through Transverse Momentum Dependent parton distributions and fragmentation functions. While leading-power contributions to the SIDIS cross-section are well established, next-to-leading power (NLP) corrections of order 1/Q and next-to-next-to-leading power (NNLP) corrections of order 1/Q²  to the hadronic tensor have only recently begun to be systematically investigated. These corrections are essential for reliable phenomenology and interpretation of modern high-precision data. In recent papers by one of the authors, NNLP corrections to the Drell-Yan process were derived using the rapidity factorization formalism. In the present …

How To Create Accessible Osce Exams For Learners With Disabilities, Lisa M. Meeks, Jordan Juliao, Emily Langham, Anne Lewis, Judith Brenner

University Administration Publications

[Introduction] Objective structured clinical examinations (OSCEs) are widely used across health professions education to assess learners' clinical skills through structured encounters with standardised patients [1]. OSCEs also present a known barrier to disability access for medical students with disabilities [2-6], a rapidly growing population. Using trained actors, also known as standardised patients who portray the same clinical scenario for all learners, these examinations allow for assessment of medical knowledge, clinical reasoning, communication skills and elements of the physical examination in a controlled and standardised setting [1]. They may be used for formative feedback, summative assessment or progression decisions, and they …

Lgbtq People's Experiences With Crime, Victimization, And The Criminal Legal System, Vanessa R. Panfil

Sociology & Criminal Justice Faculty Publications

The ebb and flow of social control efforts aimed at LGBTQ people necessitate a thorough investigation into their experiences. This review of the literature is organized around four key themes that characterize LGBTQ people's experiences with crime, criminalization, victimization, and the criminal legal system—including police, courts, and carceral facilities. LGBTQ people experience excessive rates of arrest and incarceration and have higher rates of victimization, which illustrate disproportionality. Their experiences differ from those of their cisgender and heterosexual counterparts and are conditioned by age, race, class, gender, and sexual orientation, illustrating intersectionality. The two primary, interrelated mechanisms driving LGBTQ criminalization and …

Revisiting The Rural Folk Devil: Rural 'Othering' And The Connections Between Media Stereotypes And Rural Issues, Brooke Baker, Ida L. Oesteraas, Stephen T. Young, Elizabeth Monk-Turner

Sociology & Criminal Justice Faculty Publications

The current study is a discourse analysis investigating anti-idyllic cinematic representations, specifically in the horror genre, of rural people, places, and cultures. Findings reveal that anti-idyllic images and discourses are prominent within recently released horror films, which rely heavily on framing rural people as the deviant “other.” Special attention is given to the cultural work of these stereotypical depictions and the associated social harms for rural communities. Specifically, we argue that (1) corporations, particularly film companies, contribute to social harm in rural areas by disseminating negative and anti-idyllic representations; (2) these portrayals have tangible and detrimental effects on both people …

Effects Of Differential Stress And Mental Health On Substance Use Among College Students, Avdi S. Avdija, Arif Akgul

Sociology & Criminal Justice Faculty Publications

Substance use among college students is often seen as a coping mechanism for some students who are prone to extreme stress, depression, or anxiety. Multiple forms of stress become the leading factors that push students toward substance use. This study tests the effects of college stressors, depression, and anxiety on substance use among college students. The results are based on the data that were collected using a 101-item questionnaire administered to 302 college students at a public university in the Midwest U.S.A. Using Logistic Regression as the primary data analysis technique, the findings of this study show that social stressors …

Understanding Homicide Dynamics: The Role Of Victim-Offender Relationships And The Event Circumstances Across Demographic Groups, Avdi S. Avdija, Christian W. Gallagher, Devere D. Woods Jr., Arif Akgul

Sociology & Criminal Justice Faculty Publications

This study investigates how the victim-offender relationship relates to the circumstances under which homicides occur, with the main focus on variations within gender, race, and age categories. To achieve these research objectives, we analyzed over forty years of data from the FBI's Supplementary Homicide Reports (1976-2017), reported by the U.S. Law Enforcement Agencies. The findings that emerged in this study show that offenders are more likely to kill victims of the same gender when taking into account the victim-offender relationships. Furthermore, this study shows that black offenders are more likely to kill acquaintances and intimate partners whereas white offender demonstrated …

Recent Progresses In Few-Nucleon Structure And Dynamics In Chiral Effective Field Theory, Laura Elisa Marcucci, Alex Gnech, Michele Viviani

Physics Faculty Publications

The most recent progresses made within the framework of chiral effective field theory for few-nucleon structure and low-energy reactions are here presented. In particular, for the A = 2 sector, the study of muon capture on deuteron is reviewed. Then, the results obtained using the Hyperspherical Harmonics ab-initio method for the 4He monopole form factor and the ³He(n^→ ,p)³H parity-conserving asymmetry are described.

Gastrointestinal Symptoms Associated With Sodium Bicarbonate Supplementation Protocols: A Systematic Review, Ian P. Winter, Paul Sarac, Patrick B. Wilson

Exercise Science Faculty Publications

Sodium bicarbonate positively impacts performance, but its associated gastrointestinal symptoms (GIS) may limit use. This systematic review synthesized literature that has evaluated GIS with sodium bicarbonate supplementation. Literature searches were performed from February 2024-March 2026. Eligible studies provided ≥ 5 g of sodium bicarbonate within a 24-h period or, if a multi-day protocol, at least one day involving ≥ 5 g. Included studies had a placebo group/condition or a comparison group/condition that created a contrast related to delivery method, form, or dose. In total, 101 investigations were summarized in six categories: acute single dosing (n = 35); acute spread dosing …

Lost In The Language: Data Breaches And The Strategic Fog Of Risk Disclosures, Ling Tuo, Shipeng Han

Accounting Faculty Publications

This study examines whether firms strategically adjust the readability of Item 1A (“Risk Factors”) disclosures following data breaches. Using U.S. firm-year observations from 2006 to 2023, we find that data breaches are associated with a significant decline in Item 1A readability. This decline is not accompanied by a meaningful increase in informational content; instead, post-breach disclosures exhibit higher syntactic complexity, more positive tone, and lower textual similarity to prior and industry peers' filings, consistent with strategic obfuscation rather than transparent reporting. The readability decline is amplified among firms facing higher litigation risk but attenuated among firms with stronger reputations for …

Multimodal Machine Learning For Alzheimer's Disease Classification Using Adni Biomarker Fusion, Hesameddin Mostaghimi, Hamid R. Okhravi, Bahar Niknejad, Daniel A. Cohen, Michel A. Audette, Alzheimer's Disease Neuroimaging Initiative

Electrical & Computer Engineering Faculty Publications

Despite ongoing advances, accurate diagnosis of Alzheimer’s disease (AD) remains challenging due to its multifactorial nature, comorbidities, and clinical heterogeneity. Accordingly, approaches that combine multimodal data may improve AD classification by integrating complementary information. To investigate this, we evaluated classification performance using a preprocessed ADNI-3 dataset comprising a shared set of clinical/cognitive features along with four imaging modality-based cohorts: trimodal (MRI + amyloid PET + tau PET), MRI + amyloid PET, MRI + tau PET, and MRI-only. We trained a range of supervised machine learning (ML) and deep learning (DL) classifiers using stratified five-fold cross-validation and evaluated performance using accuracy, …

Integrating Telehealth Into Advanced Health Assessment: A Bimodal Approach, Heather M. Jones, Tracy Alam, Beth A. Ammerman, John Jardine, Carolyn Rutledge

Ellmer School of Nursing Faculty Publications

The expansion of telehealth emphasizes the need for advanced practice registered nurses (APRNs) to develop competencies in telehealth technology and techniques. Limitations in physical assessments and the lack of comprehensive telehealth curricula in APRN programs have been identified as barriers to students' preparedness and confidence in performing telehealth assessments in clinical practice. This project evaluated integrating telehealth content into an advanced health assessment course with both in-person and online laboratories. Presurveys and postsurveys showed increased student confidence and competency in telehealth skills across both modalities. These findings support incorporating standardized telehealth education into APRN curricula to enhance telehealth clinical readiness.

Organized Sports-Based Interventions And Motor Outcomes In Children Diagnosed With Autism Spectrum Disorder: A Systematic Review, Kailash Ram, Maeren Hill, Caitlyn Stewart, Kaitlin P. Hardy Md, Sonia Khurana

Rehabilitation Sciences Faculty Publications

Aim

To evaluate the effectiveness of organized sports-based interventions on motor outcomes in children with autism spectrum disorder (ASD).

Method

Four databases were searched from inception to November 2025 for randomized controlled trials (RCTs) and non-randomized controlled trials (NRCTs) reporting motor outcomes of organized sports-based interventions in children with ASD. Risk of bias was evaluated using ROB-2 (Cochrane Risk of Bias Tool, Version Two) for RCTs and ROBINS-I (Risk Of Bias In Non-randomized Studies - of Interventions) for NRCTs.

Results

Eleven studies (six RCTs, five NRCTs) were included and categorized as martial arts (n = 5), aquatic training (n = …

On The Contribution Of The Gulf Stream To High Frequency Coastal Sea Level Variability, Tal Ezer

CCPO Publications

Long-term Atlantic Ocean and Gulf Stream (GS) variability were linked in past studies to coastal sea level (CSL) change along the U.S. East Coast - a weakening GS can lead to rise in CSL and increased coastal flooding. However, high frequency variability (HFV) in CSL is, in most cases, attributed to atmospheric weather events. This study is focused on HFV (intraseasonal variations with periods between similar to 1 week and similar to 2 months) in the GS and in CSL. First, wavelet and spectral analysis of observations of the Florida Current transport and CSL characterized the HFV in the data, …

Lessons For Transformative Ocean Science From The Integrated Marine Biosphere Research (Imber) Project, Deborah Santos Prado, Ella-Kari Muhl, Mia Strand, Derek Armitage, Nina Bednaršek, Stephanie Brodie, Christopher Cvitanovic, John Claydon, Sam Dupont, Karen Evans, Alistar Hobday, Eileen Hofmann, Raleigh Hood, Laura Kaikkonen, Dongyan Liu, Jessica Melbourne-Thomas, Franz Mueter, Eugene Murphy, Prateep Kumar Nayak, Alice Newton, Heidi Pethybridge, Carol Robinson, Samiya Selim, Rowan Trebilco, Micaela Trimble, Fang Zuo

CCPO Publications

This paper synthesizes the key contributions and lessons learned from Integrated Marine Biosphere Research (IMBeR), a large-scale global research project aimed at fostering ocean sustainability under global change for the benefit of society. The UN Decade of Ocean Science for Sustainable Development has catalyzed a renewed focus on the importance of transforming ocean science. IMBeR’s global activity over the past decade has focused on promoting transformative science by generating, mobilizing, and communicating the knowledge needed to support ocean governance. Key contributions from IMBeR participants include quantifying and comparing historic and present structure and functioning of linked ocean and human systems, …

End-To-End Modeling For The Ross Sea Region Marine Protected Area: A Review Of Available Tools For Conservation Objectives, James R. Lovvorn, Cara Nissen, Alexis A. Bahl, Erik Behrens, Cassandra M. Brooks, Katy Christensen, Michael S. Dinniman, Lilian A. Dove, Alice K. Duvivier, Eileen E. Hofmann, Hayley Kwasniewski, Young Shin Kwon, Sharon E. Stammerjohn, Lei Xing

CCPO Publications

The challenge of protecting marine ecosystems, including biodiversity and manifold interactions in changing environments, has encouraged development of end-to-end models linking physical drivers through entire food webs to upper-level predators. Ideally such models should have temporal and spatial resolution adequate to capture important small-scale processes, while including scales large enough to encompass local food webs and movements of wide-ranging consumers. The need for component submodels to be manipulated and upgraded independently by scientists from different disciplines, and used selectively depending on questions addressed, favors modular structure allowing linkage of different submodels with varying strengths and weaknesses. As an example, this …

Ecological Feedbacks In The Earth System, Eugene J. Murphy, Jessica J. Williams, Isla H. Myers-Smith, Vivienne P. Groner, David M. P. Jacoby, Lester Kwiatkowski, Jess Melbourne-Thomas, Emma Ransome, Cristina Banks-Leite, Laurent Bopp, Marion Gehlen, Eileen E. Hofmann, Babette Hoogakker, Nadine M. Johnston, Yadvinder Malhi, Emma L. Cavan

CCPO Publications

Ecological feedbacks are fundamental features of the Earth system, affecting physical processes and chemical cycles. Our understanding of the interactions underlying these feedbacks at different spatial and temporal scales and the extent to which feedbacks affect Earth system functioning remains limited. Climate change and other anthropogenic pressures are already negatively affecting ecological processes in marine, freshwater, and terrestrial ecosystems. These will most likely be amplified in the coming decades under our current warming and socioeconomic pathways. The knock-on impacts on ecological feedbacks have the potential to cause rapid perturbations to the Earth system, and may significantly impact the structure and …

Basal Melting Variability Of The Ross Ice Shelf From Mixing Ratios Of Simulated Water Masses (1993-2018) And Potential Climatic Drivers, Enrico Pochini, Andrea Bergamasco, Florence Colleoni, Manuel Bensi, Giorgio Budillon, Pasquale Castagno, Michael S. Dinniman, Pierpaolo Falco, Emanuele Forte, Vedrana Kovačević, Stefanie L. Mack

CCPO Publications

Several water masses circulate under the Ross Ice Shelf (RIS), the largest ice shelf in Antarctica, each causing basal melting with a specific spatio-temporal pattern. To investigate these patterns and their variability, we applied a mixing ratio analysis to simulated water masses from a new numerical ocean model of the Ross Sea. The simulation, which was run over 26 years (1993–2018) and which includes the RIS cavity, shows good agreement with seaborne and mooring observations. The total RIS basal melt rate is 90 Gt/yr on average, and is caused mostly by High Salinity Shelf Water (HSSW) (68%), which enters the …

Agricultural Productivity Under Energy Development: Insights From California, Wai Yan Siu, Sherzod B. Akhundjanov

ODU Articles

This paper examines how agricultural productivity patterns in Kern County, California, a leading region for both agricultural production and oil and gas development, co-vary with the spatial and temporal expansion of hydraulic fracturing and associated energy infrastructure. Using parcel- and county-level analyses, we characterize how agricultural productivity differs across proximity to energy development and across spatial scales. The results reveal spatially heterogeneous and scale-dependent patterns: parcel-level evidence indicates lower Enhanced Vegetation Index-based vegetation productivity within the 20-mile proximity zone around fracking wells, while county-level results show heterogeneous crop-specific yield changes during the post-expansion period. Together, these findings highlight the importance …

Standardization Of Neuromuscular Reflex Analysis—Role Of Fine-Tuned Vision-Language Model Consortium And Openai Gpt-Oss Reasoning Llm-Enabled Decision Support System, Eranga Bandara, Ross Gore, Sachin Shetty, Ravi Mukkamala, Christopher K. Rhea, Brittany S. Samulski, Amin Hass, Atmaram Yarlagadda, Shaifali Kaushik, Malith De Silva, Andriy Maznychenko, Inna Sokolowska, Kasun De Zoysa

VMASC Publications

Background/Objectives: Accurate assessment of neuromuscular reflexes, such as the Hoffmann reflex (H-reflex), plays a critical role in sports science, rehabilitation, and clinical neurology. Conventional interpretation of H-reflex electromyography (EMG) waveforms is subject to inter-rater variability and interpretive bias, limiting reliability and standardization. This study aims to develop an automated, interpretable, and robust agentic AI–driven framework for H-reflex waveform analysis. Methods: We propose a fine-tuned Vision–Language Model (VLM) consortium combined with a reasoning Large Language Model (LLM)–enabled decision support system for automated H-reflex interpretation. Multiple VLMs were fine-tuned on curated datasets of H-reflex EMG waveform images annotated with expert clinical observations, …

An Insidious Interstice: Understanding Cognition And Language Behaviour Through The Eyes Of Juvenile Justice Professionals, Anne M. Perrotti, Allison T. Chappell, Tancy Vandecar-Burdin

Human Movement Studies & Special Education Faculty Publications

Introduction

Despite evidence suggesting language and cognition deficits are prevalent for justice involved youth, little research explores how juvenile justice personnel experience language and cognition behaviours in the youth they serve.

Aims

This qualitative study explored how juvenile justice personnel understand language and cognition skills and deficits in justice involved youth.

Methods

Twenty-two U.S. juvenile justice professionals participated in individual, semi-structured interviews. Questions focused on individual understanding of receptive language, expressive language, social communication, and cognition (i.e., problem-solving, predicting consequences and impulsiveness) in juveniles served. Using a phenomenological lens, transcripts were coded identifying themes and sub-themes of participant responses.

Results …

Seeing The Invisible Load: Xr+ Multimodal Sensing For Cognitive Ergonomics In Industrial Training, Jessica M. Johnson, Andwele Grant

Virginia Digital Maritime Center (VDMC) Faculty Publications

Extended reality (XR) technologies are increasingly positioned as disruptive Industry 5.0 tools for human-centric industrial training and intelligent human–system integration. Coupled with multimodal sensing (eye tracking, EEG, HRV, GSR, and other physiological signals), XR environments promise to make otherwise invisible cognitive demands observable, especially for novice trainees entering complex industrial settings. Yet the evidence base is fragmented: (1) there is no quantitative synthesis of the cognitive ergonomics benefits of XR plus sensing; (2) little is known about which XR–sensor configurations yield the strongest effects; (3) prior reviews rarely focus on industrial and manufacturing tasks; (4) multimodal signals are used predominantly …

Modern Potentiostat Architectures For Electrochemical Sensing: Design, Integration, And Future Directions, Reagan Aviha, Gymama Slaughter

Center for Bioelectronics Publications

Potentiostats are essential to electrochemical sensing, enabling precise control of electrode potentials and measurement of current responses. As demand grows for portable, wearable, and point-of-care systems, potentiostat design has evolved from benchtop instruments to compact, low-power, and wirelessly connected platforms. This review provides a comprehensive, system-level perspective on modern potentiostat architectures, covering operational principles, analog front-end design, signal generation and acquisition, communication protocols, and software integration. Unlike prior reviews that treat these aspects independently, this work integrates electrochemical theory with electronic design and data communication frameworks. Key components, including operational amplifiers, transimpedance amplifiers, DAC/ADC subsystems, and microcontroller-based control, are examined …

From Reviews To Value: Harnessing Crowdsourced Data To Capture Visitor Perceptions And Economic Benefits Of Recreation, Laura Costadone, Shan Zhang

ODU Articles

Quantifying the recreational value of protected natural areas is essential for sustainable management, conservation financing, and informed decision-making. Traditional approaches, such as on-site surveys, are often costly, spatially limited, and constrained by regulatory barriers. This study evaluates the potential of crowdsourced user-generated data to jointly assess visitor perceptions and the economic value of nature-based recreation, using Back Bay National Wildlife Refuge (Virginia, USA) as a case study. We integrated georeferenced photographs and textual content from four platforms (Flickr, TripAdvisor, Yelp, and AllTrails) with supplementary survey data to analyze visitation patterns, visitor sentiment, cultural ecosystem services, and recreational value using the …

Autonomous Float Data Reveal Decoupled Trends In Chlorophyll And Stratification In The Indian Ocean, Marufa Ishaque, Sophie Clayton, John Klinck

OES Faculty Publications

Recent studies have shown that the Indian Ocean is warming significantly, but how this warming impacts primary production is largely unresolved due to a relative lack of depth-resolved biological observations. In this study, we have used Biogeochemical-Argo data from 2013 to 2022, comprising over 9,000 individual profiles, to examine regional patterns and trends in depth-integrated chlorophyll, depth-integrated net primary production and stratification in the northern and Equatorial Indian Ocean. Our analysis shows that water column stratification is increasing in the majority of the study area, with the highest rate of increase observed in the western Bay of Bengal. At the …