Digital Commons Network^™

Polarization Spectroscopy Of The 5s ₁/₂-5d₅/₂ Two-Photon Transition In Rubidium, H. C. Busch, C. F. Busch, C. I. Sukenik

Physics Faculty Publications

We describe a one-color, two-photon polarization spectroscopy experiment on the 5S 1/2-5D5/2 transition in rubidium, suitable for implementation in an advanced undergraduate instructional laboratory. The proposed laboratory module synergistically combines polarization spectroscopy with established fluorescence detection at a wavelength different from the excitation wavelength. The curriculum provided in this paper allows students to compare experimental results with predicted theoretical lineshapes and to study the intensity dependence of the two-photon transition. The module also provides a springboard that enables instructors to expand the curriculum to incorporate additional measurements and theoretical analyses. These activities include collecting spectra on additional transitions, measuring the …

Enhancing The Accuracy Of Image Classification For Degenerative Brain Diseases With Cnn Ensemble Models Using Mel-Spectrograms, Sang-Ha Sung, Michael Pokojovy, Do-Young Kang, Woo-Yong Bae, Yeon-Jae Hong, Sangjin Kim

Mathematics & Statistics Faculty Publications

Alzheimer’s disease (AD) and Parkinson’s disease (PD) are prevalent neurodegenerative disorders among the elderly, leading to cognitive decline and motor impairments. As the population ages, the prevalence of these neurodegenerative disorders is increasing, providing motivation for active research in this area. However, most studies are conducted using brain imaging, with relatively few studies utilizing voice data. Using voice data offers advantages in accessibility compared to brain imaging analysis. This study introduces a novel ensemble-based classification model that utilizes Mel spectrograms and Convolutional Neural Networks (CNNs) to distinguish between healthy individuals (NM), AD, and PD patients. A total of 700 voice …

A Time-Domain Boundary Integral Equation For Moving Acoustic Sources In Uniform Flow And Its Solution By An Advanced Time Propagation Approach, Fang Q. Hu, Douglas M. Nark

Mathematics & Statistics Faculty Publications

This paper presents a time-domain boundary integral equation (TDBIE) formulation for predicting acoustic scattering from moving sources in a uniform mean flow. This work is motivated by the increasing need for accurate aeroacoustic modeling of modern aircraft configurations, including VTOL and eVTOL systems with rotating components. A key challenge in time-domain scattering simulations with moving sources is the determination of retarded time for a given observer time, which involves solving an implicit equation at each time step. This can be computationally costly, particularly for numerical solution of the TDBIE where every surface element on the scattering body acts as an …

Covariate Selection For Rna-Seq Differential Expression Analysis With Hidden Factor Adjustment, Farzana Noorzahan, Hyeongseon Jeon, Yet Nguyen

Mathematics & Statistics Faculty Publications

In RNA-seq data analysis, a primary objective is the identification of differentially expressed genes, which are genes that exhibit varying expression levels across different conditions of interest. It is widely known that hidden factors, such as batch effects, can substantially influence the differential expression analysis. Furthermore, apart from the primary factor of interest and unforeseen artifacts, an RNA-seq experiment typically contains multiple measured covariates, some of which may significantly affect gene expression levels, while others may not. Existing methods either address the covariate selection or the unknown artifacts separately. In this study, we investigate two integrated strategies, FSR_sva and SVAall_FSR, …

The Integration Of Big Data In Fintech: Review Of Enhancing Financial Services Through Advanced Technologies, Soudeh Pazouki, Mohammad B. Jamshidi, Mirarmia Jalali, Arya Tafreshi

Management Faculty Publications

Big data analytics is revolutionizing the FinTech industry, offering new opportunities for real-time decision-making, personalized financial services, and improved risk management. By leveraging advanced technologies like machine learning and artificial intelligence, financial institutions can efficiently detect fraud, predict market trends, and create innovative solutions tailored to customer needs. Big data also plays a critical role in promoting financial inclusion through alternative credit scoring models, providing access to credit for underserved populations and fostering broader participation in the financial system.

However, the integration of big data into FinTech is not without its challenges. Issues such as data privacy concerns, regulatory complexities, …

Navigating Recovery: Insights From Distance Learning Human Services Students' Abstinence Experience, Chaniece Winfield, Jill Kivikoski, Catalina Kraft

Counseling & Human Services Faculty Publications

With the rise in overdose and problematic drug use in the United States, it is crucial to develop competent human service practitioners in addiction treatment and recovery settings. This qualitative study explores the virtual abstinence experience of distance learning human services students, using Mezirow’s transformative learning theory to examine how a 21-day experiential abstinence prompts critical reflection and perspective transformation. The study investigates the socio-emotional and physiological factors influencing participants' progress toward sobriety, including cravings, withdrawal, isolation, and relapse triggers. Findings highlight how participants' critical reflection leads to a deeper understanding of addiction and recovery, as well as an enhanced …

Analysis Of Errors In The Management Of Cutaneous Disorders, Robert J. Pariser, Sarah Alnaif

Department Dermatology Faculty Publications

In this study, we prospectively and retrospectively evaluated the occurrence of errors in the management of cutaneous disorders from patient visits and medical records in a single dermatology practice in southeast Virginia over a 3-year period (June 2020-July 2023). Providers should be able to improve diagnostic accuracy by utilizing established rapid bedside diagnostic techniques.

Engaging The Community, Providing Hopes, Mackenzie Peeke, Margaret West, Alyssa Wilkinson, Matthew Serrata, Michael Baroody, Conner Tembe, Chrisney Yerena

HOPES Free Clinic Publications

Founded in the 1970s as a grassroots effort to provide care to the underserved population of Hampton Roads, Eastern Virginia Medical School (EVMS) has long been committed to community-centered care. The HOPES Free Clinic is a manifestation of that mission. Launched in 2011 as a student-run phone triage service, the Health Outreach Partnership of EVMS Students (HOPES) later transitioned to provide direct clinical services—becoming the first student-run free clinic in the Commonwealth of Virginia. In 2014, HOPES integrated into Community Engaged Learning to enhance and solidify its efforts. Since its inception, medical and health professions students have partnered with volunteer …

Barriers And Facilitators To Accessing Mental And Physical Health Care Among Sexual Minority Women: A Qualitative Exploration, Charlotte A. Dawson, A. Moulder, Kristin E. Heron

Department Psychiatry & Behavioral Science Faculty Publications

Cisgender sexual minority women (SMW, e.g., lesbian, queer) are at greater risk for poor mental and physical health compared to heterosexual women and face challenges when accessing health care. Previous research has largely focused on general sexual and gender minority barriers to health care, but more research is needed on the experiences of specific subgroups, including cisgender SMW. The current study qualitatively explored barriers and facilitators for cisgender SMW seeking health care. Twenty cisgender SMW aged 18-40 recruited using Meta advertisements and past participant lists completed 45 min semi-structured interviews and a brief survey. Thematic analysis conducted by two coders …

Strategies To Enhance Gme Program Coordinator Job Satisfaction And Well-Being, Stuart Slavin, Julie Beckerdale, April L. Mcguire, Linda Ortiz Morrison, Melanie Pigott, Carrie L. Racsumberger, Evangelina Rangel, Bret Stevens, Ramona Tirado, Cynthia D. Thompson, Latoya Wright

Department Dermatology Faculty Publications

[Introduction] Program and institutional coordinators in graduate medical education (GME) have very complex jobs that are often highly pressured and demanding, requiring a diverse skill set to manage effectively. While these positions can be immensely gratifying, the demands and pressures inherent in the roles pose threats to job satisfaction as well as risks to mental health and well-being. A national survey of 6372 coordinators found that 20.4% reported being dissatisfied or very dissatisfied with work, and 27.9% reported being likely or very likely to leave their job in the next year. ¹ Of the coordinators surveyed 36.3% screened positive for …

Igf-1 As A Biomarker For Symptom Severity In Adult Traumatic Brain Injury: Evidence From An Observational Study, Justin Weppner, Kimberly Rosenthal, Jennifer Bath, Tonja Locklear, Melissa Martinez

Department of Physical Medicine & Rehabilitation Faculty Publications

Traumatic brain injury (TBI)-related growth hormone deficiency is often undertreated, despite documented physical, metabolic, and neuropsychiatric effects. Insulin-like growth factor (IGF-1), with neuroreceptors located in brain regions responsible for learning, memory, and mood, regulates cerebral blood flow, neurogenesis, and neuroplasticity. The aim of this study was to determine associations between IGF-1 levels and post-TBI symptom severity, anxiety, and depression. This retrospective observational study at an Academic Brain Injury Center included participants evaluated 3-12 months post-TBI with available IGF-1 values and complete Rivermead Post-Concussion Symptoms Questionnaire (RPQ-13), Generalized Anxiety Disorder-7 (GAD-7), and Patient Health Questionnaire-9 (PHQ-9) responses. Patients under 18 or …

Teaming With Technology: Adaptive Automation In Joint Cognitive Systems For Industry 5.0, Jessica Johnson

Virginia Digital Maritime Center (VDMC) Faculty Publications

Adaptive automation enables dynamic reallocation of functions between people and autonomous agents to improve performance in complex work. This paper presents a meta-analysis of experimental and quasi-experimental studies (2000-2025) on joint cognitive systems in industrially relevant contexts, quantifying effects on task performance, safety/failure management, workload, trust, and learning. Across studies, adaptive automation reliably reduces operator workload and shows moderate gains in task performance and safety, with healthier trust dynamics when adaptations are triggered by human-state or event cues, made transparent to the user, and remain rapidly overridable. Risks emerge when performance-triggered switching is opaque or poorly timed, which can erode …

Integrating Data Management Plans Into The Unified Architecture Framework Standards Views, Cansu Yalim, Holly A. H. Handley

Engineering Management & Systems Engineering Faculty Publications

System Architecting translates an operational concept into a model of the system to be realized. There is a need for a Data Management Plan (DMP) to be included in the overall system engineering process with the advent of Digital Engineering. Data longevity, accessibility, and integrity can all be improved throughout the system's lifecycle by a well-defined DMP. System engineers use an architecture framework to arrange the system data into several sets of viewpoints. Incorporating a DMP at this point specifies the procedures for gathering, storing, retrieving, and maintaining data to ensure that all interested parties have access to current, correct …

Computer Science For Middle School (Cs4ms), Melani Loney, Lisa Steffian, Tancy J. Vandecar-Burdin

Center for Educational Partnerships Publications

This session will discuss the project Computer Science for Middle School and the associated findings. This Virginia Department of Education funded project provides computer science Professional Development opportunities for in-service teachers, located in Southeastern Virginia, who instruct students in middle school grades 6- 8. Participating teachers learn to integrate computer science standards into core and elective content through online, asynchronous microcredentials and in-person Summer Workshops. The presentation will include project findings and next steps including teacher efficacy for implementing the computer science standards before and after completing the microcredentials and their students’ attitudes about computer science.

Clarification Of Public Health Pathways Toward Clinical Careers: A Pilot Study Describing A Benchmark Analysis Project, Elizabeth A. Brown, Melissa Feliciano, Daniel Martinez

Health Behavior, Policy & Management Faculty Publications

Introduction: Undergraduate public health programs have adapted the required basic sciences based on medical and technological advances and the needs of the public health workforce. We aim to demonstrate how a benchmark analysis project was used to improve curriculum and develop a model where basic sciences in public health can be used to build pathways to clinical graduate programs like medicine, pharmacy, physician assistant, etc.

Methods: Authors conducted a benchmark analysis of Bachelor of Science in Public Health (BSPH) Degrees (or public health-related degrees) in the southern region of the United States (US) to explore required basic sciences. Authors searched …

The Role Of Intangible Assets In Shaping Firm Value, Feng Dong, John Doukas

Finance Faculty Publications

This study introduces a new metric to evaluate a firm's intangible asset intensity, focusing on its ability to generate revenue from nonphysical assets. It finds a strong positive correlation between firm performance and both internally generated and externally acquired intangible assets. Firms with high intangible intensity outperform peers by 3% annually. The oversight of intangible assets is identified as a factor in value stocks' underperformance. Rigorous tests, including endogeneity checks, confirm these firms exhibit superior accounting quality, labour investment efficiency and acquisition returns. A framework highlights how managerial attributes enhance firm value through decision-making.

Transformative Impact Of Ai And Digital Technologies On The Fintech Industry: A Comprehensive Review, Soudeh Pazouki, Behdad Jamshidi, Armia Jalali, Arya Tafreshi

Finance Faculty Publications

This paper examines the impact of artificial intelligence (AI) and digital technologies on the financial technology (FinTech) industry and demonstrates how AI- enabled strategies are increasing the ability of businesses not only to grow, but also to better serve their customers through operational efficiencies. But as immersive as the technological advancements may be, they present challenges in connection with increasingly complicated licensing regulations and a constantly evolving technological landscape. We examine the way AI and algorithms are streamlining workflows, enhancing productivity and expanding access to financial resources for traditionally under – served populations. The paper also discusses the macroeconomic implications …

The Legend Of Taylor Heinicke: An Autoethnography Of Unexpected, Passionate Fandom, Brendan O'Hallarn

Communication & Theatre Arts Faculty Publications

Passionate fandom is not a novel phenomenon in the field of sport. The fervor of fans builds stadiums and has allowed the sport industry to grow exponentially in the past few decades. Scholars have examined the passionate fan through many theoretical lenses, but comparatively little scholarship has looked at sport fandom fervor from inside. An autoethnographic examination of my unexpected journey as a fan of journeyman National Football League (NFL) quarterback Taylor Heinicke demonstrates how fandom can stir passions and create rituals in sport followers. A multimedia diary of Heinicke's unexpected ascension to starting quarterback of the Washington Commanders provides …

The Invisible Default: Examining Representation In Digital Collections, Kaylee P. Alexander, Dorothy Terry, Jasmine Kirby, Rachel Jane Wittmann, Anna Neatrour

Libraries Faculty & Staff Publications

This mixed-method study investigates the representation of race and ethnicity within the J. Willard Marriott Digital Library at the University of Utah. The digital collections analyzed in this study come from the Marriott Library’s Special Collections, which represent only a fraction of the library’s physical material (less than 1 percent), albeit those most public facing. Using a team-based approach with librarians from various disciplines and areas of expertise, this project yielded dynamic analysis and conversation combined with heavy contemplation. These investigations are informed by contemporary efforts in librarianship focused on inclusive cataloging, reparative metadata, and addressing archival silences. By employing …

The Effects Of The Image Attributes Of Golf Star Athletes Supported By Adult Amateur Golfers On Sports Participation Desire And Continuation Intention, Ji-Hye Yang, Ga Young Kim, Hye Jin Yang, Chulhwan Choi, Chul-Ho Bum

Human Movement Studies & Special Education Faculty Publications

The image attributes of sports star athletes demonstrate positive effects on sports fans' psychological factors. In the context of golf, fans are also influenced by the players they support, experiencing a range of emotions. Therefore, this study aimed to examine the effects of the image attributes of golf star athletes—supported by adult amateur golfers—on the desire for sports participation and the intention to continue. This study involved 356 adult amateur golfers in Korea (253 male, 103 female). Questionnaires were used to measure participants' perceptions of image attributes, their desire for sports participation, and their intention to continue participating in the …

A Study Of Differences In Enjoyment, Exercise Commitment, And Intention To Continue Participation Among Age Groups Of Adult Amateur Golfers, Hye Jin Yang, Ji-Hye Yang, Chulhwan Choi, Chul-Ho Bum

Human Movement Studies & Special Education Faculty Publications

Golf is one of the leisure sports that offers various benefits and has become a popular public sport with participation from people of various age groups. A total of 262 questionnaires were distributed online, with 240 valid responses collected after excluding 22 with non-responses or partial answers. The results showed statistically significant differences in enjoyment by age group, except for recognition from others. Regarding physical health, those in their 60s and above had higher mean scores than other age groups, and those in their 50s scored higher than those in their 30s. Stress relief was greater among those in their …

The Virginia Consortium For Teacher Preparation In Blindness And Vision Impairment: Program Overview And Structure, Kimberly Avila, Justin A. Haegele, Annemarie L. Horn, Katelyn Makovec

Human Movement Studies & Special Education Faculty Publications

The Virginia Consortium for Teacher Preparation in Blindness and Vision Impairment (VI Consortium) is a collaborative personnel preparation program consisting of George Mason University (Mason), Old Dominion University (ODU), and Radford University (RU). Funded by a grant from the Virginia Department of Education (VDOE), the VI Consortium trains teachers to work with students who are blind and visually impaired as teachers of students with visual impairments (TSVIs) across the Commonwealth of Virginia. Each of our partner universities recruits, advises, enrolls, and confers degrees for teacher candidates. Mason serves as the primary institution, coordinating grants, awarding sub-contracts, developing and leading courses, …

A Comparative Analysis Of Stress Relief, Life Satisfaction, And Quality Of Life Based On Marriage Status And Gender Among Members Of Society Participating In Exercise, Ji-Hye Yang, Sicheol Jung, Hyejin Yang, Chulhwan Choi, Chul-Ho Bum

Human Movement Studies & Special Education Faculty Publications

Modern members of society tend to feel stressed in their workplace and at home, but exercising has been shown to effectively reduce stress and increase quality of life and satisfaction. This study aimed to investigate and compare stress relief, life satisfaction, and quality of life based on marriage status and gender among members of society who participate in exercise. We used a questionnaire survey with 311 participants, and the data were analyzed using descriptive statistics, validity and reliability, a multivariate analysis of variance (MANOVA), and a post hoc analysis. The study results showed that the single groups demonstrated higher mean …

Our Methodology For Case-Based Learning And Strategies For Reader Engagement, Wesley J. Wilson, Paul H. Warner, Justin A. Haegele

Human Movement Studies & Special Education Faculty Publications

In this chapter, we discuss in detail our application of case-based learning to this edited book. We take time to highlight some important differences in our approach in contrast to traditional case-based learning principles and resources and lay out our procedures for considering the content, format, and editing of this collection of stories. We also delve into our own reflexivity and positions of power as we consider our roles as editors in this project. Finally, we discuss tips for engaging with this book, while providing some general reflective questions for readers to consider while reviewing the authors’ stories about physical …

Case-Based Learning And The Physical Education Of Disabled Students, Wesley J. Wilson, Paul H. Warner, Justin A. Haegele

Human Movement Studies & Special Education Faculty Publications

In this chapter, the editors provide background information about the case-based learning approach as it relates to preparing preservice physical educators, adapted physical educators, and special educators to work with disabled students. We also begin to frame the importance of elevating the voices and lived experiences of disabled students as they make meaning of and decide what is important in physical education. We conclude with an overview of the remaining chapters to better orient the reader to this edited text.

Examining The Socioemotional Outcomes Of Social Justice Efforts On Social Media Users: Evidence From The Nfl's Inspire Change Initiatives, Yoseph Z. Mamo, Justin Haegele, Christos Anagnostopoulos, Kwame Agyemang

Human Movement Studies & Special Education Faculty Publications

Despite the growing interest in social justice activities, there is a lack of empirical evidence regarding their impact on various stakeholders, particularly social media users. We gathered longitudinal data from the NFL's @inspirechange X (former Twitter) account, a designated social justice communication handle, between August 2019 and March 2023. During this timeframe, the account garnered 20,967 comments (including original tweets and retweets) from 11,481 distinct users, but our analysis focused on 5851 comments deemed usable from 3632 unique users. Drawing on the social exchange theory, sentiment analysis, and thematic analysis, this study examines social media users' sentiments toward the NFL's …

Extending A Pretrained Language Model (Bert) Using An Ontological Perspective To Classify Students' Scientific Expertise Level From Written Responses, Heqiao Wang, Kevin C. Haudek, Amanda D. Manzanares, Chelsie L. Romulo, Emily A. Royse, Caterina B. Azzarello

Human Movement Studies & Special Education Faculty Publications

The complex and interdisciplinary nature of scientific concepts presents formidable challenges for students in developing their knowledge-in-use skills. The utilization of computerized analysis for evaluating students' contextualized constructed responses offers a potential avenue for educators to develop personalized and scalable interventions, thus supporting the current teaching and learning of science. While prior research in artificial intelligence has demonstrated the effectiveness of algorithms, including Bidirectional Encoder Representations from Transformers (BERT), in tasks like automated classifications of constructed responses, these efforts have predominantly leaned towards text-level features, often overlooking the exploration of conceptual ideas embedded in students' responses from a cognitive perspective. …

Fares On Fairness: Using A Total Error Framework To Examine The Role Of Measurement And Representation In Training Data On Model Fairness And Bias, Patrick Oliver Schenk, Christoph Kern, Trent D. Buskirk

Information Technology & Decision Sciences Faculty Publications

Data-driven decisions, often based on predictions from machine learning (ML) models are becoming ubiquitous. For these decisions to be just, the underlying ML models must be fair, i.e., work equally well for all parts of the population such as groups defined by gender or age. What are the logical next steps if, however, a trained model is accurate but not fair? How can we guide the whole data pipeline such that we avoid training unfair models based on inadequate data, recognizing possible sources of unfairness early on? How can the concepts of data-based sources of unfairness that exist in the …

Wrongful Migration: A Hidden Culprit Behind Flank Pain, Ryan Miller, Anjeza Cipi, Emma Pierce

Department of Emergency Medicine Faculty Publications

[Introduction] A 32-year-old woman with no significant past medical history presented to the emergency department with 11 days of fever, fatigue, chills, and new-onset fullness in her left flank. She denied dysuria, abdominal pain, or vaginal bleeding. Vital signs showed fever and mild hypotension, and the physical examination revealed left-sided abdominal distension. Laboratory results demonstrated leukocytosis and a lactate of 3.2 mmol/L. She appeared nontoxic but was persistently febrile despite initial fluids and antibiotics. Computed tomography—shown in Figure 1, and ultrasound—shown in Figure 2, were obtained and revealed the diagnosis.

Diffuse Unilateral Leg Swelling, Bruce M. Lo, Kylie Butler, Navjot Kaur, Kirsten Pennell

Department of Emergency Medicine Faculty Publications

[Patient Presentation] A 46-year-old woman with a history of hypertension presented with 14 days of right leg pain. The pain began after straining her leg while lifting heavy boxes at work, with diffuse leg swelling noted 3 days later. She reported subjective fever but no other complaints. Patient denies any illicit drug use. Initial vital signs included a temperature of 100.1 °F, heart rate of 122 beats per minute, and blood pressure of 158/91 mm Hg. Physical examination revealed a diffusely swollen and tender right leg (Fig 1). Computed tomography (CT) of the right leg identified a 19 X 7 …