Digital Commons Network^™

Identifying Alcohol Intervention-Relevant Constructs For Greek Life: Examining Across Greek Membership And Gender Among College Students, Emily Susan Renzoni

Psychology Theses & Dissertations

Among college populations, students who are members of social Greek life organizations (i.e., social fraternities and sororities) drink more and experience higher rates of negative alcohol-related consequences than their non-affiliated peers. Although there has been success of alcohol interventions in general college populations, research has shown that college drinking interventions that are delivered to students in Greek life are not efficacious in reducing alcohol consumption or related consequences. It is meaningful to investigate if the content commonly addressed in these interventions, although well-documented as being linked to drinking in the general college population, has the same associations for students who …

Exploring The Impact Of Identity-Based Bullying On Suicidal Thoughts And Behaviors Among 6th-12th Grade Youth In Virginia, Camille N. Johnson

Psychology Theses & Dissertations

Suicidal thoughts and behaviors (STBs) are a growing public health concern among youth. Bullying victimization is a robust risk factor for STBs and identity-based bullying (IBB) or bullying that occurs due to a person’s actual or perceived social-identity/identities that is ingrained in discrimination, prejudice, or bias, has been found to be more strongly associated with STBs compared to bullying that was unrelated to identity. The current study used data from the Virginia School Survey of Climate and Working Conditions (N=399,493) to examine associations between general bullying, adult-perpetrated bullying, and IBB with depression and STBs among 6th-12th grade youth. This study …

Machine Learning For Anomaly Detection In Neural Network Security And Srf Cavities, Hal Ferguson

Electrical & Computer Engineering Theses & Dissertations

This dissertation explores the development and deployment of machine learning approaches to address critical challenges in anomaly detection across two distinct domains: neural network security in federated learning settings and cavity behavior analysis in particle accelerator operations at Jefferson Lab in Newport News, Virginia. Anomaly detection identifies deviations from expected patterns, safeguarding systems in cybersecurity, industry, and research against malicious activities and failures. This dissertation demonstrates how our machine learning approaches enhance detection accuracy and efficiency in both neural network security and industrial applications.

First, we investigate vulnerabilities in deep neural networks deployed in federated learning. Although federated learning preserves …

Relativistic Three Particle Scattering, Md Habib E Islam

Physics Theses & Dissertations

In this dissertation, we develop and apply a relativistic framework for studying three-body scattering amplitudes, their analytic structure, and the emergence of universal phenomena such as the Efimov effect. The work integrates three complementary components.

First, we introduce a systematically improvable numerical method for solving relativistic three-body integral equations in momentum space. By discretizing the continuum problem into finite matrix equations and extrapolating to the continuum limit, we obtain stable partial-wave amplitudes in the presence of a two-body bound state. Two complementary treatments of the pole contribution are implemented and shown to reproduce previous finite volume results, with controlled estimates …

Identity Salience Of Organizational Culture: The Intersection Of Racial And Occupational Identities In High-Risk Professions, Sarah Espinosa

School of Public Service Theses & Dissertations

Despite decades of effort, issues of race and color in organizations remain unresolved. Representative Bureaucracy (RB) has been a necessary but insufficient response to these challenges. While RB promotes diversity and inclusion, it struggles to address deeper issues of equity and justice, which are seen in the persistence of police brutality, even with increased representation of officers of color. This dissertation will propose a new theoretical approach to address the shortcomings of RB, a framework for the Identity Salience of Organizational Culture (ISOC). The ISOC framework seeks to build beyond RB to explain how the culture of high-risk professions with …

Making Explanations Make Sense: Xai For Smishing Detection, Eleni Alexandra Katsarakes

Psychology Theses & Dissertations

Explainable Artificial Intelligence (XAI) is a key component of effective human-AI collaboration, particularly in high-stakes domains such as cybersecurity. While AI tools hold promise for mitigating threats such as SMS-based phishing (SMiShing), their real-world effectiveness may hinge not just on detection accuracy, but on whether users can make sense of the system’s outputs. As SMiShing attacks grow in both frequency and sophistication, so does the urgency of designing human-centered AI systems that support user decision-making under uncertainty. This study examined how four distinct AI explanation types - Normative (rule-based), Attributive (feature-based), Exemplar (case-based), and Recommendation-Only - influence user performance, confidence, …

Design And Assessment Of A Single-Blade Rotary Wing For Use In Vertical Takeoff And Landing (Vtol) Aircraft, William C. Mcmasters

Mechanical & Aerospace Engineering Theses & Dissertations

A single-bladed propeller was designed to determine its efficacy in increasing efficiency of quadplane aircraft in the cruise configuration while still providing sufficient vertical lift for the vertical takeoff portion of flight. Aerodynamic theory predicts higher efficiency for single-blade propellers, resulting in a lower power requirement. A counter-weighted single-blade was modeled after a 10x5 model aircraft propeller used in small unmanned vehicles with a steel counterweight to balance centrifugal forces. The propeller was tested in the ODU wind tunnel to determine performance at various Advance Ratios (J). The research suggests that single-blade propellers show comparable performance compared to two-bladed propellers …

Sciteuq: Toward Uncertainty-Aware Complex Scientific Table Data Extraction And Understanding, Kehinde Ajayi

Computer Science Theses & Dissertations

Scientific tables report critical research insights, data, and findings for scientific progress. Because Portable Document Format (PDF) is the de facto standard format for scientific paper publishing, there has been an emerging need for an automatic method to extract data from PDF files. A significant fraction of scientific tables exhibit complex structure and content, making it challenging for machine learning tools to accurately extract the content directly from PDF files. Despite the advancements in Table Structure Recognition (TSR), automated extraction of data from complex scientific tables remains a challenge due to variations in table structures and contents. In this dissertation, …

Human Identification And Action Recognition Using Small Data And Deep Domain Adaptation, Alexander M. Glandon

Electrical & Computer Engineering Theses & Dissertations

Human identification and human action recognition problems are two important research areas for real-world security and surveillance applications. In both human identification and action recognition, it is necessary to operate by collecting small datasets in the field, possibly in a short time window of observation. This dissertation studies and develops computational modeling and high-performance machine learning (ML) and deep learning (DL) models for human identification and human action recognition using small amounts of data. These methods and computational models may be useful for different security and surveillance applications.

This dissertation on human recognition develops a ML computational model to estimate …

Graduate Physical Therapy Students Perceived Benefit Of Prior Anatomy Experiences Following Their First Semester Graduate Physical Therapy Anatomy Course, Austin Alexander

EVMS School of Health Professions Theses & Dissertations

Human anatomy stands as a cornerstone prerequisite for admission into graduate-level Physical Therapy Programs. As such, prior anatomy experiences need to prepare students for success in graduate-level coursework. However, studies have demonstrated that undergraduate anatomy courses vary in their ability to predict success in graduate Physical Therapy anatomy coursework. This research aimed to utilize students' perceptions of their undergraduate anatomy experiences to predict grades in graduate-level Physical Therapy anatomy coursework. The multinomial logistic regression in this study revealed that the absence of perceived preparedness was a significant predictor of membership in the C graduate anatomy grade group. Students who did …

Benzodioxane-Benzamides Targeting Bacterial Cell Division Protein Ftsz Potentially Disrupt Slma-Mediated Nucleoid Occlusion And Reversible Biomolecular Condensation, Marta Sobrinos-Sanguino, Inés Barros-Medina, Lorenzo Suigo, Alessia Lanzini, Ermanno Valoti, William Margolin, Valentina Straniero, Begoña Monterroso, Silvia Zorrilla

Faculty, Staff and Student Publications

New strategies are urgently needed against antimicrobial resistance, a major health threat, and the different mechanisms regulating the bacterial cell division machinery offer multiple opportunities for developing novel therapeutics. FtsZ, an essential protein of this process, is targeted by multiple small molecules, and benzodioxane-benzamides (BDOBs) are among the most potent inhibitors in several bacterial species. BDOBs mechanisms are however poorly understood, particularly their impact on FtsZ's interplay with partners and ability to assemble phase-separated biomolecular condensates potentially involved in stress sensing. We show that certain BDOBs shielded FtsZ against depolymerization induced by the nucleoprotein complexes of SlmA, which inhibit Z-ring …

Impact Of Peripheral Circadian Misalignment And Alcohol On The Resiliency Of Intestinal Barrier And Microbiota, Laura Tran, Maliha Shaikh, Phillip A Engen, Ankur Naqib, Dulce M Frausto, Vivian Ramirez, Malia Gasteier, Zlata Bogin, Kristi Lawrence, Lijuan Zhang, Shiwen Song, Stefan J Green, Faraz Bishehsari, Christopher B Forsyth, Ali Keshavarzian, Garth R Swanson

Faculty, Staff and Student Publications

Circadian organization is involved in many gastrointestinal tract (GIT) functions such as the maintenance of intestinal barrier integrity. There is compelling evidence that perturbation of the circadian clock decreases intestinal epithelial cells' resiliency to alcohol-induced injury. One of the most common causes of circadian misalignment is wrong-time eating (largest meal at dinner) in modern societies. Yet, few studies have examined the importance of peripheral circadian rhythms of the GIT to alcohol consumption. Eating patterns during physiologic rest time, defined as wrong-time eating (WTE), misalign the peripheral circadian clock of the GIT and the body's central clock. This study aims to …

Molecular And Immunological Features Associated With Long-Term Benefits In Metastatic Nsclc Patients Undergoing Immune Checkpoint Blockade, Pedro Rocha, Rafael Bach, Laura Masfarré, Sharia Hernandez, Nil Navarro-Gorro, Adrià Rossell, Xavier Villanueva, Mario Giner, Ignacio Sanchéz, Miguel Galindo, Raúl Del Rey-Vergara, Albert Iñañez, Beatriz Sanchéz-Espiridion, Wei Lu, Ariadna Acedo-Terrades, Pau Berenguer-Molins, Albert Sánchez-Font, Roberto Chalela, Victor Curull, Álvaro Taus, Max Hardy-Werbin, Mark Sausen, Andrew Georgiadis, James White, Jennifer B Jackson, Laura Moliner, Sergi Clavé, Beatriz Bellosillo, Ana Rovira, Ignacio Wistuba, Luisa M Solis Soto, Júlia Perera-Bel, Edurne Arriola

Faculty, Staff and Student Publications

Introduction: Immunotherapy is firmly established as a treatment regimen in various solid tumors, driven by its exceptional benefits in a selected group of patients. Despite widespread adoption of immune checkpoint blockade (ICB) across diverse solid tumors, the quest for a clinically informative biomarker for long-term benefit remains unmet.

Methods: A total of 49 patients with metastatic NSCLC treated with ICB were included. Long-term (LTR) and short-term responders (STR) were defined as those with a response to ICB lasting more than 24 months or less than 6 months, respectively. Longitudinal blood specimens were collected before ICB treatment initiation and early-on treatment. …

Tubulin Regulates Stability And Localization Of Stmn2 By Binding Preferentially To Its Soluble Form, Xiang Deng, Gary A Bradshaw, Marian Kalocsay, Timothy Mitchison

Faculty, Staff and Student Publications

The small, tubulin-binding protein STMN2 is highly expressed in neurons and is implicated in amyotrophic lateral sclerosis. STMN2 degrades rapidly and accumulates at axotomy sites, suggesting fast turnover is crucial for its neuroprotective function. We show that STMN2 was primarily degraded by the ubiquitin-proteasome system. Its membrane-targeting N-terminal domain promoted fast turnover, whereas its tubulin-binding domain promoted stabilization. Proximity labeling and imaging showed that tubulin binding reduced STMN2 targeting to trans-Golgi network membranes. Pull-down assays showed that tubulin binds preferentially to soluble over membrane-bound STMN2. Our observations suggest that STMN2 interconverts between a soluble, tubulin-bound form and a membrane-bound, tubulin-free …

Did Copyright Fail Music Artists?, Rachel Landy

Articles

Music soundtracks our lives, supports over two million domestic jobs annually, and is listened to more than ever before. The record industry is thriving, having made over $17 billion in 2024. Yet, many professional artists are barely surviving. Artists signed to record deals lament royalty payments that amount to a fraction of a penny for each stream of their songs. So where is all the money going, and who, or what, is to blame? Public rhetoric and existing legislative proposals implicate copyright as a guilty party. But are those concerns justified?

This Article unpacks the music supply chain. It builds …

Smags-Lasso: A Novel Feature Selection Method For Sensitivity Maximization In Early Cancer Detection, Hamid Khoshfekr Rudsari, Sara Khorami-Sarvestani, Johannes F Fahrmann, James P Long, Samir Hanash, Kim-Anh Do, Ehsan Irajizad

Faculty, Staff and Student Publications

Background: Sensitivity and specificity are foundational metrics for cancer detection tools. However, most machine learning algorithms prioritize overall accuracy during optimization, which fails to align with clinical priorities of early detection. We aim to develop a feature selection machine learning algorithm while maximizing sensitivity at a given specificity.

Methods: We developed SMAGS-LASSO, a machine learning algorithm that combines our developed Sensitivity Maximization at a Given Specificity (SMAGS) framework with L1 regularization for feature selection. This approach simultaneously optimizes sensitivity at user-defined specificity thresholds while performing feature selection. SMAGS-LASSO utilizes a custom loss function with L1 regularization and multiple parallel optimization …

“Starlight Suite”: A Compositional Exploration Of The Argo Navis Constellations In Three Movements, Adam Miller

Electronic Theses and Dissertations

This thesis explores a compositional technique in which stellar constellations are arranged upon musical staves in a variety of iterations to create a basis from which to draw melodic, harmonic, and rhythmic material. These raw extrapolations of unaltered notes are then arranged and orchestrated into thematic music for full orchestra, centered around elements from the mythological background behind the constellations used. An accompanying analysis explains the specific applications of this technique within each movement of the work, the significance of each, and the variety of ways in which musical inspiration was drawn from the raw materials. The objective of this …

Secretory Iga Dysfunction Underlies Poor Prognosis In Fusobacterium-Infected Colorectal Cancer, Ilseok Choi, Kyung-A Kim, Sang Cheol Kim, Donghwan Park, Ki Taek Nam, Jun Hyung Cha, Seungbyn Baek, Junha Cha, Hye-Yeong Jo, Minsun Jung, Melody Y Zeng, Irina Matei, Susan Bullman, Joong Bae Ahn, Yoon Dae Han, Han Sang Kim, Insuk Lee

Faculty, Staff and Student Publications

Fusobacterium nucleatum (Fn) is commonly enriched in colorectal cancer (CRC) and associated with poor outcomes, though its mechanisms remain unclear. Our study investigated how Fn affects the tumor microenvironment through single-cell transcriptomic analyses of 42 CRC patient tissues, comparing Fn-positive and Fn-negative tumors. We discovered that Fn impairs IgA plasma cell development and secretory IgA (sIgA) production by disrupting communication with tumor-associated macrophages. Additional experiments in germ-free mice, together with our re-analysis of a publicly available single-cell RNA-seq data set from a CRC mouse model with an intact gut microbiome–both models having been orally gavaged with Fn–jointly validated the causal …

An Investigation Of Paleoclimate Through A Sedimentological Lens In The Gulf Of Mexico And Western North Pacific, Sarah Monica

Dissertations

This dissertation explores the use of sediment cores as proxy data for the reconstruction of paleoclimatic and environmental conditions. Human-caused climate change is leading to dramatic shifts in the global climate. As the instrumental record of climate is relatively short compared to the amount of time Earth has experienced weather, this work aims to extend our knowledge of climate beyond the instrumental record, thereby improving our holistic understanding of the climate system. In Chapter one, sediment cores from the central Texas inner shelf are used to produce a record of intense tropical cyclone (TC) activity over a ~4500-year period. X-Ray …

Processing-Driven Crystallization, Morphology, And Mechanics In Pekk Composites, Nicholas Ryan Enos

Dissertations

This dissertation aims to understand how thermoplastic composites can be processed at faster manufacturing rates while identifying how processing variables influence crystallization, morphology, and mechanical properties. Throughout this dissertation, the influence of nano-scale additives, carbon fibers, rapid cooling, shear, and molecular weight on polymer physics, crystallization, morphology, and mechanics is investigated.

The inclusion of carbon nanotubes and graphene nanoplatelets accelerated crystallization, increased nucleation density, reduced lamellar thickness, and shifted governing Hoffman-Lauritzen growth regimes in PEKK. Velisaris-Seferis modelling identified a surface-induced nucleation mechanism in PEKK nanocomposites, and fast scanning calorimetry allowed for the study of rapid cooling rates, helping to identify …

Implementing Primary Care Fall Prevention With The Steadi Algorithm Toolkit, Roslyn Pechet

Electronic Theses and Dissertations 2020 - Present

Falls among older adults remain a leading cause of morbidity and mortality, especially in underserved populations. The Centers for Disease Control and Prevention (CDC) developed the Stopping Elderly Accidents, Deaths, and Injuries (STEADI) toolkit to help providers systematically identify and address fall risks. The purpose of this Doctor of Nursing Practice (DNP) project was to implement and evaluate integration of the CDC STEADI toolkit within primary care at Palm Beach Program of All-Inclusive Care for the Elderly (PACE) Greenacres. The aim was to train the interprofessional leadership team to use the STEADI program to enhance knowledge, confidence, screening, and implementation …

Comparison Of Respiratory Responses To Exercise Under Different Heat-Stressful Environments Between Oral Contraceptive And Naturally Menstruating Ovulating Female Athletes, Nanako Hayashi, Toby Mündel, Tze Huan Lei, Claire Badenhorst

Research outputs 2022 to 2026

The present study conducted a secondary analysis of previous data (Lei et al., 2017, 2019) to compare exercise-induced respiratory responses under heat stress between the early follicular (EF)/ quasi -EF and mid-luteal (ML)/ quasi -ML phases in naturally menstruating and oral contraceptive pill (OCP)-using female athletes. Additionally, the study aimed to examine the associations between respiratory responses, thermoregulation, and hormonal profiles within each group. Sixteen endurance-trained female athletes participated: eight with a natural menstrual cycle (NM group) and eight using OCP (OCP group). Each participant completed four trials, comprising fixed-intensity cycling (at 125 and 150 W) followed by a 30-min …

Effects Of Exercise Or Diet Or Combined Interventions On Treatment Efficacy Of Chemotherapy For Cancer: A Systematic Review, Cristina Crespo-Garcia, Francesco Bettariga, Dennis R. Taaffe, Carolyn J. Peddle-Mcintyre, John P. Campbell, Emily Jeffery, Anna Maria Markarian, Anita Borsati, Alice Avancini, Sara Pilotto, Daniel A. Galvao, Robert U. Newton

Research outputs 2022 to 2026

Purpose of Review: While exercise and dietary interventions in patients with cancer undergoing chemotherapy have been demonstrated to be safe and feasible and improve patient-reported outcomes, the effects on treatment efficacy have not been widely examined and remain unclear. This review aimed to examine the effects of exercise, dietary, and combined interventions on tumour response and time-to-event outcomes in patients with cancer undergoing chemotherapy. Recent Findings: A systematic review of intervention studies was conducted based on PRISMA guidelines Databases searched were PubMed, Medline, CINAHL, Embase, and Web of Science. Methodological quality and risk of bias were assessed using the RoB2 …

Determinants Of Consumers' Mobile Network Continuance Intention: The Mediating Effects Of Cognitive And Affective Inertia, Fazlul Hoque, Pi Shen Seet, Stephanie Meek, Saalem Sadeque

Research outputs 2022 to 2026

Despite extensive research on customer continuance intention, few studies have explored the mediating roles of cognitive and affective inertia in shaping continuance intention, particularly in emerging markets. We address this gap in an empirical study, grounded in the SOR (Stimulus-Organism-Response) framework, that investigates how trust, satisfaction, and switching barriers influence mobile network users' continuance intention, with cognitive and affective inertia as mediators. Using Partial Least Squares Structural Equation Modelling (PLS-SEM), we analyzed primary data from 407 mobile phone users in Bangladesh, an emerging economy. The findings indicate that trust, satisfaction, and switching barriers have a significant influence on continuance intention. …

Hamstring Strength And Architectural Properties Are Associated With Running Biomechanics, Nicholas Ripley, Christopher Bramah, Paul Comfort, John Mcmahon

Research outputs 2022 to 2026

Applied muscular strain and hamstring strain capacity have a joint interaction on hamstring strain injury (HSI) with modifiable risk factors frequently assessed. However, to date there is limited observations on the interaction between these factors. The purpose of the present study was to observe if spatiotemporal characteristics, running kinematics and muscle activation were related to modifiable risk factors of HSI. Twenty-two competitive team sport athletes (24.7 ± 4.3 years, 1.82 ± 0.07 m, 84.9 ± 8.5 kg) participated whereby the Bicep femoris long head (BFLH) fascicle length assessed via ultrasound and isokinetic eccentric hamstring strength was assessed. With running assessment …

The Effects Of Acute And Chronic Exercise On Lipocalin-2 In Middle-Aged And Older Adults: A Randomized Control Trial, Carlie Bauer, Marc Sim, Cassandra Smith, Rhiannon Healy, Andrew Garnham, Navabeh Zare-Kookandeh, Elizabeth Byrnes, Mary N. Woessner, Joshua R. Lewis, Itamar Levinger

Research outputs 2022 to 2026

Objective Chronically elevated circulating lipocalin-2 (LCN2) levels are implicated in poor energy regulation, increased cardio-metabolic disease risk, and poor physical function. Exercise is known to improve these factors, but whether LCN2 is modifiable by exercise is not clear. We examined the effect of acute and chronic exercise on LCN2 levels and whether this relates to glucose regulation, body composition, and physical function. Design and methods Thirty-three middle-aged and older adults (45–84 years, median body mass index 26.21 kg/m²) completed an acute high-intensity interval exercise session (HIIE). Participants were randomized to 4 weeks of high-intensity interval training (HIIT) or …

Estimation Of 3d Facial Dynamics With Nonlinear Filters For Position Tracking, Thoa Thieu, Roderick Melnik

School of Mathematical & Statistical Sciences Faculty Publications

This study presents a comparative evaluation of three nonlinear state estimation filters, the Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and Particle Filter (PF), for the task of 3D facial landmark tracking. Using a publicly available dataset, we assess each filter's performance under both deterministic (noise-free) and stochastic (noisy) conditions. Metrics such as mean squared error (MSE), convergence rates of state and covariance estimates, and consistency over time are used to quantify tracking performance. Results show that the EKF consistently outperforms the UKF and PF, achieving faster convergence and lower estimation error, particularly in scenarios characterized by mild nonlinearity. …

Quantization For The Mixtures Of Overlap Probability Distributions, Asha Barua, Angelina Chavera, Ivan Djordjevic, Valerie Manzano, Sergio Soto Quintero, Mrinal Kanti Roychowdhury, Hilda Tejeda

School of Mathematical & Statistical Sciences Faculty Publications

Optimal quantization for mixed distributions has emerged as a compelling area of study. In this work, we have focused on a mixed distribution formed from two uniform distributions with partially overlapping supports. For this class of distributions, we have examined the structure of optimal sets of n-means and the corresponding nth quantization errors for all positive integers n. Initially, we explicitly determined the optimal sets and quantization errors for 1 < = n < = 6. Subsequently, we established several key lemmas and propositions and proposed an algorithm that facilitates the computation of optimal n-means and quantization errors for all n >= 5. Numerical results are also presented to illustrate the application of the algorithm in deriving these quantities. The findings of this study offer valuable insight and serve as a …

Variants Of Conway Checkers And K-Nacci Jumping, Glenn Bruda, Joseph Cooper, Kareem Jaber, Raul Marquez, Steven J. Miller

School of Mathematical & Statistical Sciences Faculty Publications

Conway Checkers is a game played with a checker placed in each square of the lower half of an infinite checkerboard. Pieces move by jumping over an adjacent checker, removing the checker jumped over. Conway showed that it is not possible to reach row 5 in finitely many moves by weighting each cell in the board by powers of the golden ratio such that no move increases the total weight.

Other authors have considered the game played on many different boards, including generalizing the standard game to higher dimensions. We work on a board of arbitrary dimension, where we allow …

Using Political Privilege To Profit: Insider Trading In The Government And S. 2463'S Alleged Attempt To Stop It, Allison K. Dooling

MC Law Review

Insider trading is generally illegal within the United States. However, members of Congress are notorious for regularly engaging in stock trades based on government information that mirrors insider trading. In 2023, Senators Gillibrand and Hawley proposed a bill, unlike any such proposed before, to put an ultimate ban on government insider trading: the “Ban Stock Trading for Government Officials Act” or S. 2463. On its face, S. 2463 appears to address the criticisms surrounding government insider trading. It not only increases regulation and reporting standards but also bans government officials, their spouses, and their dependents from owning any stock during …