Digital Commons Network^™

Efficient Preservation Of Old Methane-Derived Organic Carbon In Deep-Sea Surface Sediments, Rui Bao, Yangli Che, Mingzhi Liu, Naiyu Zhang, Yang Zhou, Lihua Dong, Shen Li, Owen A. Sherwood, Min Yu, Zongheng Chen, Shengxiong Yang, Nan Wang, Longhai Zhu, Jiawang Chen, Mutai Bao, Haoshuai Li, Luonan Chen, Weifeng Wu, Haiyue Ma, David J. Burdige

OES Faculty Publications

Methane released from the subseafloor is significantly attenuated during upward migration, yet the preservation of methane-derived organic carbon (OC) in global deep-sea sediments remains poorly understood. Here, we measured carbon isotopes coupled with temperature-ramped analyses on various methane seepage sediments. Our results reveal a correlation between the radiocarbon (¹⁴)C) content in deep-sea surface sediments and sulfate-methane transition depth. Notably, our findings suggest that a substantial amount of (¹⁴)C-depleted OC may originate from deep-seated methane and is efficiently preserved in surface seepage sediments. We propose that the efficient OC preservation is related to microbial-mediated aggregate formation at the seawater-sediment interface, where …

Differences In Sideerophore Production During The Growth Of Phytoplankton In Southern Ocean Incubation Experiments Under High- And Low-Iron Conditions, Randelle M. Bundy, Kristen N. Buck, Bethany D. Jenkins, P. Dreux Chappell, Daniel J. Repeta, Alexa Sterling, Shannon M. Yang, Laura Holland, Léo Mahieu, Laura E. Moore

OES Faculty Publications

Iron is an important micronutrient required by marine microorganisms. The Southern Ocean is an ecosystem where primary production is limited by the availability of iron, but how microorganisms in this region adapt to low-iron conditions or respond to episodic iron inputs is understudied. We tested how external iron additions would impact bacterial production of siderophores during phytoplankton growth using shipboard incubation experiments under a range of iron conditions. Similar heterotrophic bacteria communities and phytoplankton biomass were observed whether iron was added from the continental margin or as inorganic iron. Under both high- and low-iron conditions, the heterotrophic bacteria community remained …

We-Making Through Technology: Social Cohesion And Virtual Adaptation In Community Arts Organizations For Artists With Idd During Covid-19 Pandemic, Yumi Shirai, Michelle Boulanger Thompson, Tamara Shetron

Rehabilitation Sciences Faculty Publications

COVID-19 public health restrictions disrupted in-person arts participation, increasing risks of social isolation and reduced community access. Prior research shows that many people engaged in home-based arts and cultural activities during lockdown, supporting emotional regulation, a sense of belonging, and social connection; however, little is known about how these shifts affected community arts organizations that serve artists with intellectual and/or developmental disabilities (IDD), a population disproportionately impacted by the pandemic and longstanding inequities. We examined how community-based arts organizations adapted programming for artists with IDD during the COVID-19 pandemic, including barriers and unanticipated outcomes relevant to equitable access and participation …

Eeg And Imu Gait Signal Processing: A Comparative Assessment Of The "Reza" Exponential Filter And Classic Filters, Reza Pousti, Daniel M. Russell, Derek C. Monroe, Christopher K. Rhea

Rehabilitation Sciences Faculty Publications

Noise degrades both EEG and gait signals, and classical IIR filters (Butterworth, Chebyshev, elliptic) involve trade-offs between passband flatness, ripple, and roll-off. This study compared a novel exponential "Reza" filter with these designs for neural and locomotor data. We analyzed an open-source mobile brain-body imaging dataset with EEG and gait data from 49 healthy adults (EEG: 256-channel, 512 Hz; IMUs: six APDM Opals, 128 Hz). EEG channels were grand-averaged and band-pass filtered at 0.5-50 Hz, while IMU axes were averaged and band-pass filtered at 0.5-5 Hz. The outcomes were signal-to-noise ratio SNR (dB) and band-integrated Welch PSD (EEG:0.5-50 Hz; IMU:0.5-5 …

A Narrative Review Of Bertolotti's Syndrome: Etiology, Classification, Diagnosis, And Treatment, Matyas Abel Tsegaye, Andrea Muffly

Rehabilitation Sciences Faculty Publications

Bertolotti's syndrome is a congenital condition characterized by chronic low back pain stemming from a lumbosacral transitional vertebra (LSTV). Because the condition is frequently overlooked, patients often face years of delayed diagnosis before the true source of their pain is identified. Furthermore, current information regarding the biological origins and clinical management of the condition remain scattered. To address this knowledge gap, this narrative review aims to provide a comprehensive overview of Bertolotti’s syndrome by consolidating these disparate sources and suggesting new connections. We synthesize the latest understanding of this condition, ranging from its genetic origins to modern clinical management. We …

Nonlinear Differences In Postural Sway Across Attentional Focus Conditions In Individuals With And Without Anterior Cruciate Ligament Reconstruction, Natalie L. Ferguson, Brian L. Cone, Christopher K. Rhea, Anne Beethe, Breanna Studenka

Rehabilitation Sciences Faculty Publications

BACKGROUND: The structure of variability in postural sway reflects the adaptability and health of the postural control system. Entropy quantifies this structure by measuring the regularity of repeated fluctuations over time. Although entropy has been used to examine sway in neurological populations, little is known about how sway complexity changes following anterior cruciate ligament reconstruction (ACLR). Attentional focus may also influence postural control, with external focus typically promoting more efficient and automatic regulation than internal focus.

AIM: To examine how attentional focus (internal vs. external) influences the structure of postural sway in individuals with and without ACLR.

METHODS: Forty-three participants …

Exploring The Synergy Between Very Large Transformer And Lstm Models For Effective Medical Captioning From Videos To Text: The Impact Of Captioning In Healthcare, R. V. Aswiga, Moin Ahmed Zahir

Data Science Faculty Publications

In today’s rapidly evolving digital landscape, the demand for accurate and contextually relevant subtitles for image and video content, particularly in the medical domain, is increasingly critical. Despite the proliferation of visual data across various platforms, existing captioning systems often struggle due to variations in visual settings, complex temporal relationships, and nuanced semantics. Additionally, challenges such as limited datasets, privacy issues, and specialized annotation requirements make medical image captioning particularly difficult. To tackle these challenges, we investigate cutting-edge deep learning methodologies, specifically Transfer Learning and Transformer models, through a comparative analysis. Specifically, we focus on Transfer Learning through the MedVisionCapturer …

A Hybrid Cnn-Lstm Surrogate Model For Hyper-Resolution Spatiotemporal Flood Forecasting In Norfolk, Virginia, Yidi Wang, Jonathan L. Goodall, Chetan Kumar, Diana Mcspadden, Sergio A. Barbosa, Binata Roy, Ali Shahabi, Navid Tahvildari

Data Science Faculty Publications

Study region

Norfolk, Virginia, United States

Study focus

Accurate and timely flood forecasting is essential for enhancing resilience in coastal urban areas in the context of increasing frequency and intensity of rainfall, sea level rise and urbanization. This study presents a hybrid deep learning-based surrogate model that integrates Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks to enable real-time spatiotemporal flood forecasting. The model leverages CNN to capture spatial features from inputs such as elevation and Topographic Wetness Index (TWI), while LSTM processes time-series inputs of rainfall and tide data to capture temporal features.

New hydrologic insights for …

The Xpdirc Concept For Next-Generation Dirc Detectors, R. Dzhygadlo, J. Datta, K. Dehmelt, A. Deshpande, T. K. Hemmick, Md. I. Hossain, C. E. Hyde, Y. Ilieva, G. Kalicy, W. J. Llope, P. Nadel-Turonski, C. Schwarz, J. Schwiening, N. Shankman, J. Stevens, N. Wickramaarachchi, C. Woody

Physics Faculty Publications

The next-generation DIRC (xpDIRC) represents a novel detector geometry concept currently being developed for advanced particle identification systems in high-energy physics experiments. Building upon the high-performance DIRC (hpDIRC) designed for the ePIC detector at the Electron-Ion Collider, the xpDIRC introduces a hybrid optical architecture that combines enhanced focusing optics, a wide plate light guide, and a compact expansion volume. Comprehensive Geant4 simulations demonstrate that the xpDIRC hybrid geometry achieves state-of-the-art performance in π/K separation across the entire range of operation.

Longitudinal Spin Transfer To Λ Hyperons In Semi-Inclusive Deep Inelastic Scattering With The Clas12 Spectrometer, M. Mceneaney, A. Vossen, A. Acar, P. Achenbach, J. S. Alvarado, M. Amaryan, W. R. Armstrong, H. Atac, 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, V. D. Burkert, T. Cao, R. Capobianco, D. S. Carman, J. C. Carvajal, A. Celentano, P. Chatagnon, V. Chesnokov, H. Chinchay, G. Ciullo, P. L. Cole, M. Contalbrigo, A. D'Angelo, N. Dashyan, R. De Vita, M. Defurne, S. Diehl, C. Dilks, C. Djalali, R. Dupre, H. Egiyan, M. Ehrhart, A. El Alaoui, L. El Fassi, M. Farooq, S. Fegan, R. E. Ferguson, I. P. Fernando, A. Filippi, C. Fogler, K. Gates, G. Gavalian, D. I. Glazier, R. W. Gothe, Y. Gotra, B. Gualtieri, K. Hafidi, H. Hakobyan, M. Hattawy, T. B. Hayward, D. Heddle, A. Hobart, M. Holtrop, Y. Ilieva, D. G. Ireland, H. S. Jo, S. Joosten, T. Kageya, A. Kim, V. Klimenko, A. Kripko, V. Kubarovsky, L. Lanza, S. Lee, 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, S. Niccolai, G. Niculescu, M. Osipenko, M. Ouillon, P. Pandey, M. Paolone, L. L. Pappalardo, R. Paremuzyan, E. Pasyuk, S. J. Paul, W. Phelps, N. Pilleux, S. Polcher Rafael, L. Polizzi, J. Poudel, Y. Prok, A. Radic, T. Reed, J. Richards, M. Ripani, P. Rossi, A. A. Rusova, C. Salgado, S. Schadmand, A. Schmidt, M. B. C. Scott, E. V. Shirokov, S. Shresstha, E. Sidoretti, D. Sokhan, N. Sparveris, M. Spreafico, I. Strakovsky, S. Strauch, J. A. Tan, R. Tyson, M. Ungaro, P. S. H. Vaishnavi, S. Vallarino, C. Velasquez, L. Venturelli, H. Voskanyan, E. Voutier, D. P. Watts, Y. Wang, U. Weerasinghe, X. Wei, N. Wickramaarachchi, M. H. Wood, L. Xu, Z. Xu, N. Zachariou, Z. W. Zhao, V. Ziegler, M. Zurek

Physics Faculty Publications

The polarization of Λ hyperons is preserved in the angular distribution of their decay products. This property allows one to study the spin structure of the Λ. In semi-inclusive deep inelastic scattering where a high energy lepton interacts with a nucleon target and one or more hadrons and the scattered lepton are detected in the final state, the probability for a struck quark to impart the polarization of the lepton to the Λ may be measured. In particular, in electron-proton scattering this quantity may be related to the longitudinal light quark polarization of the Λ. Currently, limited experimental data cannot …

Acceptability, Usability, And Clinical Integration Of A Clinic-Based Digital Game For Hpv Education: Qualitative Perspectives From Adolescents, Parents, And Healthcare Providers, Elizabeth Reifsnider, Satya Subedi, Nouran Ghonaim, Megan Whaley, Angela Chia-Chen Chen

Ellmer School of Nursing Faculty Publications

Background/Objectives: HPV vaccination is safe, effective, and recommended at ages 11–12, yet uptake remains suboptimal. Serious video games may offer an innovative strategy to deliver brief, engaging education during clinic visits. This qualitative paper, embedded within a mixed-methods study, examined adolescents’, parents’, and healthcare providers’ (HCPs’) perceptions of the acceptability, usability, and perceived clinical applicability of HPV Detective, a tablet-based digital game designed to provide HPV-related education to parent–child dyads during pediatric clinic wait times. Methods: Eight adolescent–parent dyads (N = 16) and three HCPs from university-affiliated pediatric clinics participated in 30–60-min semi-structured Zoom interviews. Interviews were audio-recorded, transcribed, and …

The Asymmetric Effect Of Social Connection And The Cumulative Damage Of Comorbidities On Physical And Mental Health Of Older Virginians, Newton Ochoki, Lynn Wiles, Peijia Zha, Vince Falco, Carielle Joy Rio, Jonathan Romero, Leorey N. Saligan

Ellmer School of Nursing Faculty Publications

Objectives

This study explored relationships of social connection with physical and mental health in older adults, specifically examining the effects of comorbidities on these relationships and the influence of sociodemographic variables on the strength of these associations.

Methods

This cross-sectional study enrolled 174 community-dwelling adults aged 60 years and older residing in Hampton Roads, Virginia, USA. Data were collected from April to August 2025. Hierarchical linear regression analyses examined the associations of social connection with physical and mental health. Moderated mediation analysis examined if comorbidities mediated these relationships and whether sociodemographic factors moderate the strengths of these associations.

Results

In …

Parametric Study Of Yields And Properties Of Corn Stover-Derived Hydrothermal Liquefaction Products By Using Statistical Approaches, Isamu Umeda, Meicen Liu, Jiefu Wang, Yi Zheng, Zhiwu Wang, Jaya Shankar Tumuluru, Sandeep Kumar

Civil & Environmental Engineering Faculty Publications

Hydrothermal liquefaction (HTL) of lignocellulosic biomass produces multiple product fractions, including solid residue (SR), heavy bio-oil (HBO), aqueous phase (AP), and light bio-oil (LBO). This study mainly applied principal component analysis (PCA) and regression modeling to predict AP solution weight, LBO weight and fuel characteristics, and HTL wastewater biodegradability, as well as to improve prediction accuracy for SR and HBO under various operating conditions (temperature: 250–350 °C, residence time: 5–60 min, and the combined solid loading of three batches: 15–45 g). A complementary relationship between SR and AP weights found in PCA enabled the estimation of AP weight based on …

Physics-Based Multi-Hazard Fragility Modeling Of Low-Rise Wood-Frame Buildings Under Hurricane-Induced Wind And Surge, Mumtasirun Nahar, Abdullah M. Braik, Mohammad Syed, Maria Koliou, Petros Sideris

Civil & Environmental Engineering Faculty Publications

Coastal buildings are exposed to concurrent hurricane-induced wind and storm surge, yet their vulnerability is commonly assessed using separate single-hazard models that neglect hazard interaction. This study developed a physics-based finite element framework to evaluate the performance of a low-rise light wood-frame building under simultaneous wind and surge-wave loading. A detailed three-dimensional model was constructed using a sub-assembly strategy that explicitly represented framing members, sheathing systems, and critical connections. Structural response was evaluated across a hazard space defined by wind speed, still-water depth, and flow velocity, and component- and system-level fragility functions were derived using Monte Carlo simulation and generalized …

Vape Counseling At Pediatric Practices: The Rethink Vape Toolkit, Paul T. Harrell, Ann L. Edwards, Natasha K. Sriraman, Rebecca J. Slimak, Anisha S. Vanka, Amy C. Paulson, Kelli J. England

Department of Pediatrics Faculty Publications

Introduction:

E-cigarettes (Vapes) represent the most common form of tobacco used by adolescents, with one out of every 29 (3.5%) middle school students and one in every 13 (7.8%) of high school students vaping daily. This project aimed to increase vape screening and prevention education in youth visits at pediatric practices, to increase provider comfort with the topic of vaping, and to evaluate this educational process.

Methods:

A provider training and resource modules (talking points, billing codes, and shareable parent/teen-tailored resources) were developed. Providers (N = 32) completed an anonymous pre/postsurvey regarding their knowledge, comfort levels, barriers, and practices related …

Confessions In Cases Of Child Physical Abuse - A Capnet Study, Margaret R. Russell, Antoinette L. Laskey, Henry T. Puls, Suzanne P. Starling, Joanne N. Wood, Daniel M. Lindberg, Nancy S. Harper, Caitlin R. Mcnamara, Angela N. Bachim, Farah W. Brink, Lori D. Frasier, James D. Anderst, Porcia Vaughn, Kristine A. Campbell

Department of Pediatrics Faculty Publications

Objective

Prior research on confessions of physical abuse (PA) has explored mechanisms of injury. Little is known about conditions supporting a confession of abuse or how confessions may influence case outcomes.

Methods

This cross-sectional study of suspected PA in children age < 10 years at 10 centers participating in CAPNET, a multicenter child PA research network, included children with in-person Child Abuse Pediatrics (CAP) consultations between Feb 2021-Dec 2022 and excluded children without injury. Our focus was a confession of inflicted injury known to the CAP during clinical involvement. We compared child and clinical characteristics, out-of-home (OOH) placements, and arrests between cases with and without confessions. Multivariable models using generalized estimating equations (GEE) produced adjusted predicted probabilities (APP) clustering by CAPNET site.

Results

Confessions were known to CAPs in 115/4297 (2.7%) cases, with significant site variability. In a multivariable GEE model, confessions were more likely in cases with injuries with high-specificity for abuse (APP 6.0% vs 1.5%, p< 0.001), near-fatality (APP 5.5% vs 2.3%, p< 0.001), and older children (APP 4.8% vs 2.5%, p = 0.025). OOH placements and arrests were more common in cases with confessions. CAP awareness of confessions, OOH placements, and arrests did not follow racial or ethnic patterns seen in the US child welfare system. Lower socioeconomic status was associated with OOH placements and arrests but not CAP awareness of confessions.

Conclusions

Our findings highlight differences in case characteristics and outcomes where a confession is known to the CAP and raise questions about agency …

Bortezomib And Vorinostat In Combination With Mitoxantrone, Dexamethasone, And Pegasparaginase During Induction And Reinduction For Infants With Acute Lymphoblastic Leukaemia: A Multicentre Single-Arm Phase 1/2 Study, Tanja A. Gruber, Sima Jeha, Rebecca J. Deyell, Victor Lewis, Bill H. Chang, Eric J. Lowe, Jamie Frediani, Catherine Vezina, Bruno Michon, Michael Richards, Erin H. Breese, Thai-Hoa Tran, Norman Lacayo, Christine Bolen, Sunil Desai, Jennifer L. Pauley, Minxuan Huang, Emily Ashcraft, Cheng Cheng, Kirk R. Schultz, Linda Stork, Krysta Schlis, Van T. Huynh, Nathan Gossai, Yoav H. Messinger, Henrique Bittencourt, Terzah M. Horton, Uma Athale, Duncan Stearns, Deborah Schiff, Paul S. Gaynon

Department of Pediatrics Faculty Publications

Background: Acute lymphoblastic leukaemia in infants remains a therapeutic challenge. In preclinical studies we previously identified bortezomib and vorinostat as active agents against KMT2A rearranged (KMT2Ar) leukaemia. The aim of this study was to determine the tolerability of incorporating bortezomib and vorinostat into an acute lymphoblastic leukaemia-chemotherapy backbone for newly diagnosed infants with acute lymphoblastic leukaemia both with and without KMT2Ar.

Methods: In this single-arm phase 1/2 study conducted at 18 hospitals in the USA and Canada, we enrolled patients aged 1 year or younger at the time of diagnosis with newly diagnosed acute lymphoblastic leukaemia or undifferentiated leukaemia (with …

35 Individuals With Huwe1-Related Neurodevelopmental Disorder And Suggested Clinical Evaluations, Mindy H. Li, Deziree L. Coleman, Kelsey Hogan, Danielle Luz, Lindsay Bhandari, Newell Belnap, Tiffany Busa, Charles Coutton, Klaus Dieterich, Svetlana Gorokhova, Clara Hildebrandt, Rachel Logan, Milena Mariani, Manuela Morleo, Vincenzo Nigro, John Pappas, Rachel Rabin, Kelly Schoch, Angelo Selicorni, Vandana Shashi, Rebecca Spillman, Jennifer Sullivan, Charlotte Tardy, Samantha A. Schrier Vergano, Brock Grill, Kristin Baranano

Department of Pediatrics Faculty Publications

HUWE1 (HECT, UBA, and WWE Domain Containing E3 Ubiquitin Protein Ligase1, OMIM 300697), located at Xp11.22, encodes a ubiquitin ligase that is highly conserved across species. Genetic variants in HUWE1 described in multiple independent studies cause X-linked intellectual disability, including in the patients identified by Juberg, Marsidi, and Brooks. This report describes 35 additional cases of individuals with variants in HUWE1 and suggested guidelines for clinical management. Our study includes several female cases, which have not been widely reported previously. Our findings confirm earlier reported clinical features including developmental delay, autism, hypotonia, short stature, and dysmorphic facial features as well …

Gender Differences In The Association Between Adverse Childhood Experiences And Drug Use: Findings From A Community-Based Survey In China, Hongyun Fu, Elizabeth Monk-Turner, Xiushi Yang

Department of Pediatrics Faculty Publications

Background

While adverse childhood experiences (ACEs) are widely recognized risk factors for behavioral health problems, including drug use, prior research has largely been conducted in Western countries, focused primarily on males, and relied on convenience samples without comparison groups of nonusers. Limited work has examined the impact of ACEs on drug use in non-Western contexts. This study examines gender differences in the relationship between ACEs and drug use in China, using data from a population-based probability sample survey.

Methods:

Cross-sectional data were collected in 2019 from one city in Yunnan Province in Southwest China and one city in Guangdong Province …

Empowering Caregivers, Protecting Patients: An Ambulatory Central Line Quality Improvement Initiative For Education And Follow-Up, Elizabeth Martinez, Belinda Bordeaux, Stephanie Langevin, Cristina Herrera, Mary Smith, Merissa Doyle, Barbara Stein, Kimberly Poshar, Marissa Dunlap, Allison Silva, Eric Werner

Department of Pediatrics Faculty Publications

Introduction: Preventing ambulatory central line-associated bloodstream infections (A-CLABSIs) is challenging due to inconsistent education, follow-up, and home care practices. Pediatric intestinal failure (IF) patients are particularly vulnerable. This institution aimed to decrease its IF A-CLABSI rate by 25% within 2 years through a standardized, step-by-step central line care education program.

Methods: Using the Toyota problem-solving method, the team reviewed data and performed a root cause analysis of the prioritized problem, implementing a 2-phase education program. Phase 1 delivered in-hospital education using videos, handouts, and hands-on teaching with skill demonstration. The existing pediatric central line skills class was expanded and offered …

Inhibition Of Histone Demethylase Lsd1 Suppresses Cd47 Expression And Enhances Efficacy Of Cd47 Blockade In Breast Cancer, Fengjie Jiang, Yu Shen, Bing Li, Michael Henry, Nancy Davidson, Yi Huang

Department of Biomedical and Translational Sciences Faculty Publications

Background CD47 functions as a “don’t eat me” checkpoint, inhibiting macrophage-mediated phagocytosis in triple-negative breast cancer (TNBC). While anti-CD47 therapies can restore immune surveillance, their efficacy in TNBC is often limited by immune evasion and drug development challenges.

Methods We investigated the crosstalk between the histone demethylase lysine-specific demethylase 1 (LSD1) and CD47 signaling in TNBC using in silico datasets, isogenic cell lines, conditional BRCA1 knockout models, and syngeneic mouse models. Techniques such as immunohistochemistry, multiplex immunofluorescence, immunoprecipitation, protein ubiquitination, chromatin immunoprecipitation, chemotaxis, flow cytometry, and phagocytosis assays were employed to examine the epigenetic regulation of CD47 by LSD1 and …

The Interplay Between Loneliness, Cortisol, And Nk Cell Function: The Role Of Cortisol In Nk Cell Dysfunction, Abhinav Saurabh, Yvonne Baumer, Laurel G. Mendelsohn, Elizabeth M. Aquino Peterson, Dana Sadler, Shirley J. Lopez De Leon, Ayushi Dave, Andrew S. Baez, Lola R. Ortiz-Whittingham, Mario A. Pita, Manuel A. Cintron, Hannatu A. Tarfa, Sandy T. Reynolds, Shelby R. Hicks, Sonal Sharda, J. Eleanor Seo, Maria Lopez-Ocasio, Pradeep K. Dagur, Skyler A. Kuhn, Neelam R. Redekar, James F. Troendle, Ayanna L. Wells, Marie Marah, Katherine J. Tolentino, Michael J. Corley, Alika K. Maunakea, Lynnette K. Nieman, Marcus R. Andrews, Tiffany M. Powell-Wiley

Department of Biomedical and Translational Sciences Faculty Publications

Chronic psychosocial stressors contribute to cardiovascular disease (CVD) and related risk factors, particularly in under-resourced communities. Psychosocial stressors activate the hypothalamic-pituitary-adrenal (HPA) axis, leading to sustained cortisol action on immune cells. Natural killer (NK) cells are altered in distribution and function in cardio-metabolic diseases; however, pathways linking cortisol as a marker of chronic stress to NK cell dysfunction remain understudied. We recruited 186 African American women from the Step It Up Community-Engaged, Digital Health Physical Activity Intervention study and collected cortisol, NK cell measures, and psychosocial stress measures using validated questionnaires, including chronic stress and loneliness. Plasma cortisol levels were …

Expert Consensus On Osteoporosis Risk Management In Patients With Sleep Disorders, Siqi Leng, Jinming Yang, Yuming Jin, Jie Shi, Ye Zhang, Junying Zhou, Lusi Tan, Taomei Li, Peiyan Ni, Kejia Hu, Yuan Shi, Jiamin Liao, Yun Li, Pei Xue, Christian Benedict, Alexandros N. Vgontzas, Michael Furian, Talant Sooronbaev, Naima Covassin, Virend K. Somers, Zhoulong Yu, Hongqiang Sun, Xiao Tan, Jihui Zhang, Yun Kwok Wing, Yue Leng, Larry D. Sanford, Michael V. Vitiello, Katie L. Stone, Rong Ren, Lin Lu, Xiangdong Tang

Department of Biomedical and Translational Sciences Faculty Publications

A rate-limiting step in the prevention and early intervention of osteoporosis is identifying its asymptomatic onset. Accumulating evidence shows that sleep disorders are associated with an increased risk of osteoporosis. Given their early detectable and modifiable nature, integrating sleep disorder management into osteoporosis prevention and care pathways offers a novel approach for enhancing skeletal health. This expert consensus represents a collaborative effort by specialists in sleep medicine and orthopedics from across the world, integrating epidemiological, mechanistic, and interventional evidence to provide general guidance for prevention and clinical practice, and to foster multidisciplinary collaboration in the management of sleep disorders and …

Explainable Physics-Based Constraints On Reinforcement Learning For Accelerator Optimization, Jonathan Colen, Malachi Schram, Kishansingh Rajput, Armen Kasparian

Data Science Faculty Publications

We present a reinforcement learning (RL) framework for optimizing particle accelerator experiments that builds explainable physics-based constraints on agent behavior. The goal is to increase transparency and trust by letting users verify that the agent’s decision-making process incorporates suitable physics. Our algorithm uses a learnable surrogate function for physical observables, such as energy, and uses them to fine-tune how actions are chosen. This surrogate can be represented by a neural network or by an interpretable sparse dictionary model. We test our algorithm on a range of particle accelerator optimization environments designed to emulate the Continuous Electron Beam Accelerator Facility at …

Applying Transfer Learning For Street-Scale Nuisance Flood Forecasting In Coastal-Urban Environments, Binata Roy, Jonathan L. Goodall, Diana Mcspadden, Chetan Kumar, Steven Goldenberg, Yidi Wang, Malachi Schram

Data Science Faculty Publications

An important challenge with Machine Learning (ML) is its transferability; that is, whether an ML model trained on one set of data can be applied to a second set of data without requiring full retraining of the model. Transfer Learning (TL) addresses this challenge by transferring knowledge learned in the source domain (the data it was trained on) to the target domain (a second set of data that is statistically different but related, which the model was not trained on). This study investigates the use of TL for street-scale nuisance flood forecasting by exploring whether an ML model trained for …

Microfluidic Encapsulation Of Sorafenib-Loaded Zif-8 Nanoparticles In Ph-Responsive Alginate Microparticles For Oral Chemotherapy Of Hepatocellular Carcinoma, Mojdeh Mirshafiei, Zahra Mahmoudi, Mehdi Mehrpouya, Mahdi Mahmoudi, Masoud Rezaeian, Mona Navaei-Nigjeh, Zahra Katoli, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

Hepatocellular carcinoma (HCC) remains one of the leading causes of cancer-related mortality. Sorafenib is the current first-line oral therapy; however, its therapeutic efficacy is limited by poor aqueous solubility, low bioavailability, and gastrointestinal instability. This study aimed to develop a pH-responsive nano-in-microparticle delivery system using a single-step droplet-based microfluidic process to protect sorafenib in the gastric environment and achieve controlled release for enhanced oral chemotherapy. Sorafenib-loaded ZIF-8 nanoparticles (SZ NPs) were synthesized and characterized by scanning electron microscopy (SEM), Fourier-transform infrared (FTIR) spectroscopy, Energy-dispersive X-ray (EDX) spectroscopy, and X-ray diffraction (XRD), exhibiting a mean diameter of about 72 nm and …

Healthcare Digital Twins: A Methodological Literature Review On Integrating Iot And Ai For Personalized Medicine And Predictive Care, Sara Shahnazinia, Mahsa Tavasoli, Abdolhossein Sarrafzadeh, Ali Karimoddini

Electrical & Computer Engineering Faculty Publications

Digital Twin (DT) technology has the potential to revolutionize healthcare delivery and enhance patient outcomes through personalized and precision medicine, simulation models for operations and interventions, and drug discovery. However, successful implementation of DTs in Internet of Things (IoT) and artificial intelligence (AI) healthcare is contingent upon addressing key challenges such as privacy, ethics, and robust data security. This paper presents a methodological literature review of DT applications in healthcare, systematically analyzing the current state of research, key enabling technologies, and implementation challenges. The review summarizes DT categorization approaches (application-based, technology-based, and real-time function-based); delineates core DT components such as …

Gem-Can: A Real-World Dataset Of Can-Bus Attack Scenarios On An Autonomous Vehicle For Intrusion-Detection Research, Mahsa Tavasoli, Abdolhossein Sarrafzadeh, Ali Karimoddini, Tienake Phuapaiboon, Milad Khaleghi, Daniel Tobias

Electrical & Computer Engineering Faculty Publications

This paper presents GEM-CAN, a labelled Controller Area Network (CAN) dataset captured from an autonomous GEM e6 platform under both normal operation and controlled cyber-attack conditions.

The dataset contains ∼143 K frames comprising (i) ∼ nominal autonomous operation (∼100k messages), (ii) DoS floods using arbitration ID 0 × 00000000 (∼41 K messages), and (iii) data-tampering injections that reuse legitimate IDs for brake and steering-lock (∼1.3 K messages). Each record includes timestamp, arbitration ID (11/29-bit), DLC, eight payload bytes, and a Normal/Attack label. A companion metadata file enumerates attack windows, PCAN bus-load traces, bitrate, and test conditions. Data were collected with …

Integer-Valued Time Series Model Via Copula-Based Bivariate Skellam Distribution, Mohammed Alqawba, Norou Diawara, Mame Mor Sene

Mathematics & Statistics Faculty Publications

Time series analysis is crucial for modeling and forecasting diverse real-world phenomena. Traditional models typically assume continuous-valued data; however, many applications involve integer-valued series, often including negative integers. This paper introduces an approach that combines copula theory with the bivariate Skellam distribution to handle such integer-valued data effectively. Copulas are widely recognized for capturing complex dependencies among variables. By integrating copulas, our proposed method respects integer constraints while modeling positive, negative, and temporal dependencies accurately. Through simulation and an empirical study on a real-life example, we demonstrate that our class of models performs well. This approach has broad applicability in …

Make It Maritime: A Simulation-Based Engineering Design Challenge Using Multimodal Technologies, Jessica M. Johnson, Jennifer Renne, Jason Dudley

Virginia Digital Maritime Center (VDMC) Faculty Publications

This paper presents The Incredible Bulk, a multimodal, simulation-based engineering challenge that introduces Grades 4–12 to maritime careers and digital transformation. Students assume the roles of different maritime careers to assemble aircraft carrier bulkhead systems using: VR for spatial orientation and task preview; a 3D model as visual work instruction; paper blueprints for part identification and dimensioning; 3D-printed components for hands-on assembly; and an AR app for quality assurance/inspection. Grounded in constructionism and cognitive apprenticeship, the plan–build–inspect loop externalizes thinking and situates coached, authentic practice that advances engineering design, systems thinking, and technological literacy.