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Swosu Research And Scholarly Activity Fair 2025, Swosu Office Of Sponsored Programs

SWOSU Research and Scholarly Activity Fair Programs

On behalf of the members of the University Research and Scholarly Activity Committee (USRAC) and the Office of Sponsored Programs (OSP) at Southwestern Oklahoma State University (SWOSU) — welcome to the Thirty-Third SWOSU Research and Scholarly Activity Fair!

This year’s event features 99 poster presentations and 9 oral presentations, showcasing the work of over 170 student and faculty researchers, writers, presenters, artists, collaborators, and faculty sponsors. These presentations represent a wide array of scholarly and academic activity from across SWOSU’s academic community, including the Departments of Art, Communication, and Theatre; Allied Health Sciences; Biological Sciences; Business; Chemistry & …

40 Years Passing By In (A) “Heartbeat”, Christopher Janney

Monsoon: South Asian Studies Association Journal

This article outlines the forty-year history go Christopher Janney’s iconic performance work “HeartBeat.” Trained as an architect and jazz musician, Janney combines these two disciplines to create large interactive light/sound installations and performances. On the one hand, he attempts to make architecture more like music, more “alive” using real-time sensing devices as on his “Harmonic Convergence” installation on the Miami International Airport. On the other hand, he attempts to make music more like architecture, more physical more visual. In his “HeartBeat” performance, a dancer wears a heartbeat device that amplifies his/her heartbeat in “real time.” Over this pulse, live musicians …

Yoga Sūtra Book Four And The Yogabindu, Christopher Key Chapple

Monsoon: South Asian Studies Association Journal

Four themes from the fourth pāda of Patañjali’s Yoga Sūtra are examined here: karma (IV:2-13), individuality (IV:16), humility (IV:20-22), and freedom (IV:29-34). Affirmations and variant interpretations of these four are provided from Haribhadra Virahāṅka’s Yogabindu, most likely composed a century or two later.

Collective Karma: From The Yogasūtra To Taylor Swift, Zoë Slatoff

Monsoon: South Asian Studies Association Journal

The Indian knowledge traditions speak at length about karma, which is divided into three categories—accumulated (saṃcita), ripe (prārabdha), and future (kriyamāṇa). While much is said about our individual karma and how it affects our repeated reincarnation in cyclic existence, how does this affect others and how do others affect us? In other words, as this paper explores, what is our reciprocal and collective karma?

Painting Liberation: A Visual Ontology Of The Interplay Of Mind And Consciousness In Book Four Of The Yoga Sūtras, Melissa Townsend

Monsoon: South Asian Studies Association Journal

This presentation explores how artistic practice can illuminate philosophical questions about the nature of mind, consciousness, and liberation as articulated in Book Four of the Yoga Sūtras of Patañjali. Through a series of paintings that visually translate these sūtras, I propose that art offers a unique, experiential means of engaging with the complex relationship between citta (mind) and puruṣa (consciousness).

The paintings function as a form of “visual ontology,” inviting viewers to engage with abstract philosophical concepts in a sensory, tangible way. By depicting the interplay between the mutable processes of the mind and the unchanging awareness of consciousness, these …

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 …

Influence Of Multi-Species Data On Gene-Disease Associations In Substance Use Disorder Using Random Walk With Restart Models, Erich J. Baker, Everest U. Castaneda, Sharon Moore, Jason A. Bubier, Stephen K. Grady, Michael A. Langston, Elissa J. Chessler

Funded Scholarship

A major challenge lies in discovering, emphasizing, and characterizing human gene-disease and gene-gene associations. The limitations of data on the role of human gene products in substance use disorder (SUD) makes it challenging to transition from genetic associations to actionable insights. The integration of data from multiple diverse sources, including information-dense studies in model organisms, has the potential to address this gap. We demonstrate a modified performance of the Random Walk with Restart algorithm when multi-species data is integrated in the heterogeneous network within the context of SUD. Additionally, our approach distinguishes among disparate pathways derived from the Kyoto Encyclopedia …

Contemporary Pain Neuroscience Knowledge And Attitudes Among Students: A Cross-Sectional Study, Sue F. Curfman, William J. Best, Molly T. Williams, Kathryn Schmidt, Amy Rasmussen, Gary P. Austin

Funded Scholarship

Purpose: Healthcare education programs often provide limited training in contemporary pain neuroscience, leaving future professionals ill-prepared to address the pervasive and biopsychosocial problem of chronic pain. Exploration of the level of understanding of contemporary pain neuroscience and the attitudes toward people in pain among university students may help educators identify appropriate roles for students in pain-related interprofessional education. This study assessed and compared knowledge of contemporary pain neuroscience and attitudes and beliefs toward individuals experiencing pain among university students.  

Design: Cross-sectional observational study. Methods: 284 undergraduate and graduate, healthcare and non-healthcare students completed the revised Neurophysiology of Pain Questionnaire and …

Addressing Fine Motor Skills In Kindergarten Through Embedding Occupational Fine Motor Skills In Classrooms, Mary L. Hesterwerth

Occupational Therapy Doctorate Capstone Projects

Background: Fine motor and visual–motor delays are becoming more common among young children, driven by the shift from traditional physical play to screen time and worsened by the COVID-19 pandemic. These issues are particularly concerning for kindergarten students, whose academic demands for handwriting and classroom participation are increasing despite their limited prior school experience.

Purpose: This Capstone project aimed to evaluate the effects of an occupational therapist-led training workshop for kindergarten teachers, focusing on how it helps integrate fine motor activities into daily bellwork routines. The main research question was whether this Tier 1, classroom-based strategy could enhance students’ fine …

Effects Of Active Learning In An Undergraduate Physiology Class Using Hands-On And Simulation Labs, Ainsley C. Frayer

Graduate Theses/Dissertations

Increasing student engagement has shown positive effects on students and can be achieved by incorporating active learning strategies in the lab. Currently, the undergraduate human physiology lab at Missouri State University utilizes simulations to practice physiological concepts. The proposed project aims to evaluate if incorporating hands-on labs would improve student learning and/or their engagement. The hypothesis is engagement will be increased in hands-on labs, but grades will not differ significantly, based on previous literature. Three simulations were replaced with hands-on lab software to evaluate engagement and learning. Student engagement was assessed using a voluntary, anonymous survey. Exam average scores were …

Digital Otoscopy With Computer-Aided Composite Image Generation: Impact On The Correct Diagnosis, Confidence, And Time, Seda Camalan, Carl D Langefeld, Amy Zinnia, Brigham Mckee, Matthew L Carlson, Nicholas L Deep, Michael S Harris, Taha A Jan, Vivian F Kaul, Nathan R Lindquist, Jameson K Mattingly, Jay Shah, Kevin Y Zhan, Metin N Gurcan, Aaron C Moberly

Faculty, Staff and Student Publications

Objective: This study investigated the comparative performance of ear, nose, and throat (ENT) physicians in correctly detecting ear abnormalities when reviewing digital otoscopy imaging using 3 different visualization methods, including computer-assisted composite images called "SelectStitch," single video frame "Still" images, and video clips. The study also explored clinicians' diagnostic confidence levels and the time to make a diagnosis.

Study design: Clinician diagnostic reader study.

Setting: Online diagnostic survey of ENT physicians.

Methods: Nine ENT physicians reviewed digital otoscopy examinations from 86 ears with various diagnoses (normal, perforation, retraction, middle ear effusion, tympanosclerosis). Otoscopy examinations used artificial-intelligence (AI)-based computer-aided composite image …

Optimizing Decision-Making In A Cerebral Palsy Model Using Reinforcement Learning, Richard Ampah

Pitzer Senior Theses

This study presents an original interdisciplinary investigation into how reinforcement learning (RL) can model motor and cognitive defects and potentially improve motor and cognitive functions in individuals with cerebral palsy (CP), a non-progressive neurological disorder that impairs movement and adaptability. Integrating computational neuroscience and machine learning, the research applies policy gradient methods and Markov Decision Processes (MDPs) to simulate adaptive learning in agents with and without CP-related constraints.

The central aim is to compare the cumulative rewards of optimal policies, derived from value iteration, and human-like learning policies using the REINFORCE algorithm, both with and without the Bellman baseline. The …

The Anatomy Of A Reconstruction: From Fourier Space To Image Recovery In Computed Tomography, Charlotte P. Maurer

Honors Theses

This thesis develops the mathematical foundations of computed tomography (CT) reconstruction through the lens of harmonic analysis. Beginning with the Schwartz class, we introduce the Fourier transform and its role in expressing the Radon transform and its inversion via a fractional Laplacian. After constructing the Radon transform in general dimension R^d, we specialize to the cases d = 2 and d = 3, demonstrating explicit inversion formulas and the associated instability in lower dimensions. For its computational advantages, we study filtered back-projection using classical low-pass filters (Ram-Lak, Shepp–Logan, Cosine, Gaussian) and formulate a discrete reconstruction algorithm grounded in …

Ultra-Plex Immunofluorescence Stainings To Classify Precancerous Lesions For The Stratification Of Their Risk For Progression Toward Esophageal Squamous Cell Carcinoma, Arthi Jaishankar

Honors Undergraduate Theses

Esophageal squamous cell carcinoma (ESCC) is the most common and fatal type of esophageal cancer since it is usually only diagnosed at a later stage. Similar to other cancers, ESCC arises through precursor lesions which are known as dysplasias and occurs when cells have uncontrolled growth and changes to both the tissue structure and gene expression. Clinical intervention at the precancerous stage would greatly improve survival rates, however predicting which lesions will actually become malignant continues to be a challenge. The current traditional method for ESCC diagnosis is hematoxylin and eosin (H&E) histopathology, but it is not sufficient for predicting …

Revealing Spatiotemporal Neural Activation Patterns In Electrocorticography Recordings Of Human Speech Production By Mutual Information, Julio Kovacs, Dean Krusienski, Minu Maninder, Willy Wriggers

Mechanical & Aerospace Engineering Faculty Publications

Background

Spatiotemporal mapping of neural activity during continuous speech production has been traditionally approached using correlation coefficient (CC) analysis between cortical signals and speech recordings. A prior study employed this approach using electrocorticography (ECoG) data from participants who underwent invasive intracranial monitoring for epilepsy. However, CC cannot detect nonlinear relationships and is dominated by the correspondence between periods of silence and of non-silence.

New Method

We introduce the mutual information (MI) measure, which can capture both linear and nonlinear dependencies. We validated CC and MI on the sub-second spatiotemporal brain activity recorded during continuous speech tasks. To refine the results, …

Applying Machine Learning Methods To Generate Understandings Of Differential Item Functioning In A Flu Knowledge Assessment, William L. Romine, Tanvi Banerjee, Derrick Cox

Computer Science and Engineering Faculty Publications

Current influenza trends, including the severity of the 2025 flu season and the prevalence of H5 bird flu in livestock, necessitate efforts to better understand how to educate students about its transmission. Although validated assessments of influenza knowledge exist, these have not been evaluated for affective and demographic biases. We explore differential item functioning (DIF) effects in four items focused on specific aspects of flu transmission derived from a validated influenza knowledge assessment. In doing so, we introduce and utilize a machine learning framework for exploration of DIF which offers greater flexibility than traditional statistical approaches in terms of studying …

An Analysis Of Mental Health And Workplace Absenteeism, Kristin Marie Vrona

Graduate Research Theses & Dissertations

This dissertation examines the effect of mental health on own health-related absenteeism among employed adults in the United States, using data from the 2010–2014 Medical Expenditure Panel Survey (MEPS). The MEPS uniquely differentiates between absences due to one’s own health and those due to another person’s health, enabling causal estimation of individual-level factors influencing absence decisions.

The analysis incorporates both mental and physical health measures, including diagnostic indicators and self-reported general well being, which are used as proxies for severity that may affect both diagnosed and undiagnosed individuals. Results reveal a consistent pattern: individuals experiencing high psychological distress but lacking …

Adaptation For Whom? Understanding The Impacts Of Dyke Policies On Small-Scale Farmers In Ca Mau Province Of Vietnam, Nguyen Minh Quang, Nguyen Van Minh, Nguyen Vo Chau Ngan, Martha B. Lerski

Publications and Research

Low-lying deltas worldwide are extremely vulnerable to sea-level rise. As the risks of climate-induced flooding become increasingly clear, the thirst for infrastructure-driven adaptation increases. This highlights a patent need to understand the impacts of engineering adaptation solutions, especially those targeting built structures such as dykes and sluices, on farmers from a bottom-up, farmer-centred perspective. The study addresses this call by examining cases where dyke policies, while successful in some dimensions, have undermined small-scale farmer livelihoods in Ca Mau ― Vietnam’s southernmost rural province. It identifies areas in need of attention and adds empirical data related to this group of farmers. …

Identifying Intangible And Biocultural Heritage Elements Toward Environmental Understanding: Engaging Stakeholders Through Art, Martha B. Lerski

Publications and Research

Grounded in a case study in Barbuda in the Caribbean, this research examines sustainability from the perspective of what arts and heritage can contribute to community engagement and local and broader understandings about the environment. This article documents a growing body of literature recognizing the role of arts and culture, including local knowledge and traditional ecological knowledge (TEK), in climate change endeavors. Art and TEK present expansive world views. Contextual information situates research done on the island of Barbuda pre- and post-Hurricane Irma. Visual arts workshops engaged community members in mixed methods research. Results documented cultural elements, particularly intangible and …

Why Ai Monitoring Faces Resistance And What Healthcare Organizations Can Do About It: An Emotion-Based Perspective, Karl Werder, Lan Cao, Eun Hee Park, Balasubramaniam Ramesh

Information Technology & Decision Sciences Faculty Publications

Continuous monitoring of patients' health facilitated by artificial intelligence (AI) has enhanced the quality of health care, that is, the ability to access effective care. However, AI monitoring often encounters resistance to adoption by decision makers. Healthcare organizations frequently assume that the resistance stems from patients' rational evaluation of the technology's costs and benefits. Recent research challenges this assumption and suggests that the resistance to AI monitoring is influenced by the emotional experiences of patients and their surrogate decision makers. We develop a framework from an emotional perspective, provide important implications for healthcare organizations, and offer recommendations to help reduce …

Lead Bioaccessibility And Commonly Measured Soil Characteristics (Detroit, Mi, Usa) Phase Ii, Conor T. Gowan, Sabrina R. Good, Allison R. Harris, Patrick Crouch, Shawn P. Mcelmurry

Open Data at Wayne State

Urban soil contaminated with anthropogenic sources of Pb is a major contributor to child Pb exposure. To assess the Pb risk in urban areas, composite samples were collected from 142 voluntary privately owned 142 residential parcels in Detroit, Hamtramck, and Highland Park, Michigan. Samples were collected at two time periods, before and after treatment applied for those denoted as treatment sites. Samples were collected from areas covered with turf grass on the parcels from the front, middle and rear sections. Soils were collected with a bulb planter at approximately 10cm depth and were cleaned with a tap water-Liquinox detergent solution …

Academic Proficiency In Ugandan Children With Sickle Cell Anemia: A Cross-Sectional Study, Robert Opoka, Shubaya Kasule Naggayi, Paul Bangirana, Simple Ouma, Betty Nyangoma, Annet Birabwa, Grace Nambatya, Maxencia Kabatabaazi, Ann Jacqueline Nakitende, Dennis Kalibbala

Paediatrics and Child Health, East Africa

Introduction: Academic proficiency is crucial for advancing learning goals, school advancement, and future economic security. Children with sickle cell anemia (SCA) in sub-Saharan Africa (SSA) may be at risk of disease-associated learning difficulties. Limited data exist on this topic among school-age children in the region. We aimed to assess academic proficiency in a sample of children with SCA in Uganda compared with unaffected controls.

Methods: This cross-sectional study was conducted in Kampala, Uganda. Participants were school-going children with SCA, aged 6–12 years, attending Mulago Hospital SCA Clinic, and age-matched sibling controls without SCA. Academic proficiency was assessed by the Wide …

Association Between Lifetime Interpersonal Violence And Post– Covid-19 Condition Among Women In Kentucky, 2020-2022, Ayşe Güler, Heather M. Bush, Katie Schill, Nurlan Kussainov, Ann L. Coker

Biostatistics Faculty Publications

Objective: The COVID-19 pandemic increased the risk of interpersonal violence. We investigated the association between lifetime interpersonal violence experience and risk of post–COVID-19 condition (the persistence of symptoms of COVID-19 and severity of health problems associated with COVID-19 that last a few weeks, months, or years) among women with lifetime interpersonal violence experience.   Methods: Women participants aged ≥18 years in Kentucky’s Wellness, Health & You—COVID-19 study completed online quantitative surveys about the impacts of the pandemic, developing COVID-19, and symptoms of post–COVID-19 condition. We conducted cross-sectional analyses estimating rate ratios of developing COVID-19 and symptoms of post–COVID-19 condition during the …

Temporal Network Analysis Of Comorbidities Among People With Hiv In South Carolina, Yunqing Ma, Matthew Lohman Ph.D., Monique J. Brown Ph.D., Mph, Yichen Li, Xiaoming Li Ph.D., Bankole Olatosi Ph.D., Jiajia Zhang Ph.D.

Faculty Publications

Introduction: People with HIV experience a high rate of comorbidities that can complicate their health outcomes. Understanding the prevalence, interrelationships and temporal development of these comorbidities is crucial for improving health management and quality of life for people with HIV. Methods: We used a population-based cohort extracted from statewide electronic health record (EHR) data in South Carolina (SC), including 18 649 people with HIV who survived at least 1 year after HIV diagnosis between January 1, 2005, and December 31, 2020. Comorbidities and organ systems were classified using ICD-10 codes. Network analysis was performed to assess the closeness centrality among …

A Vision Transformer Based Assistive System For Dermatological Diagnosis In Systemic Lupus Erythematosus, Syeda Lamima Farhat

All Graduate Theses, Dissertations, and Other Capstone Projects

Systemic Lupus Erythematosus (SLE) is a complex and often underdiagnosed autoimmune disease that affects multiple organs and presents with a wide range of symptoms-ranging from fatigue and joint pain to life-threatening organ damage. One of its most visible and diagnostically significant indicators is the Butterfly Malar Rash (BMR), a distinctive facial rash that often resembles other common dermatological conditions like rosacea, acne, eczema, and fifth disease. This overlap can lead to misdiagnosis or delayed detection, especially in busy clinical environments. To assist dermatologists in distinguishing BMR from similar facial rashes, this study explores the development of an AI-powered image classification …

Program And Proceedings: Nebraska Academy Of Sciences 1880–2025, 145th Anniversary Year, One Hundred-Thirty-Fifth Annual Meeting

Nebraska Academy of Sciences: Programs and Proceedings

Program

Aeronautics and Space Science

Biological and Medical Sciences

Biology

Chemistry

Earth Sciences

Science Education

Anthropology

Applied Science and Technology

Physics and Engineering

Forensic Sciences

Ecology, Sustainability, and Environmental Science

Maiben Lecture: Mary Ann Vinton, "State of the Academy"

Friends of Science Awards: David Crouse and Daniel Sitzman

Predicting Lung Cancer Severity Using Machine Learning Algorithms: Enhanced By Statistical Analysis, Esin Bilgin

Theses, Dissertations and Culminating Projects

Cancer is a serious and severe cause seen in every region of the world and severely affects the quality of life and life span. Among the various types of cancer, lung cancer is one of the most critical, having a fatal impact on life. While medical imaging techniques, laboratory results, and biomarkers play a significant role in diagnosis and prognosis, clinical studies are also crucial in monitoring the progression of cancer and identifying diagnostic and prognostic factors. The findings demonstrate satisfactory accuracy, and the analysis incorporates statistical data with machine learning techniques. These findings play a pivotal role in supporting …

High-Resolution Geospatial Database: National Criteria-Air-Pollutant Concentrations In The Contiguous U.S., 2016–2020, Tianjun Lu, Sun-Young Kim, Julian D. Marshall

Epidemiology and Environmental Health Faculty Publications

Concentration estimates for ambient air pollution are used widely in fields such as environmental epidemiology, health impact assessment, urban planning, environmental equity and sustainability. This study builds on previous efforts by developing an updated high-resolution geospatial database of population-weighted annual-average concentrations for six criteria air pollutants (PM_2.5, PM₁₀, CO, NO₂, SO₂, O₃) across the contiguous U.S. during a five-year period (2016–2020). We developed Land Use Regression (LUR) models within a partial-least-squares–universal kriging framework by incorporating several land use, geospatial and satellite–based predictor variables. The LUR models were validated using conventional …

Gramseq-Dta: A Grammar-Based Drug-Target Affinity Prediction Approach Fusing Gene Expression Information, Kasul Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Drug–target affinity (DTA) prediction is a critical aspect of drug discovery. The meaningful representation of drugs and targets is crucial for accurate prediction. Using 1D string-based representations for drugs and targets is a common approach that has demonstrated good results in drug–target affinity prediction. However, these approach lacks information on the relative position of the atoms and bonds. To address this limitation, graph-based representations have been used to some extent. However, solely considering the structural aspect of drugs and targets may be insufficient for accurate DTA prediction. Integrating the functional aspect of these drugs at the genetic level can enhance …

Wearable-Derived Heart Rate Variability Reveals Autonomic Dysfunction In Schizophrenia (Preprint), Alec J. Pupo, Stephanie H. Felgoise

Internal Medicine Resident Research

Autonomic dysfunction has long been implicated in schizophrenia, yet objective physiological markers remain underutilized in psychiatric research. Heart rate variability (HRV), a noninvasive measure of autonomic regulation, is conventionally derived from short electrocardiographic recordings. In this study, we tested whether continuous, wearable-derived HRV can identify physiologic alterations in schizophrenia-spectrum disorders. Using the NIH All of Us database, we analyzed second-level Fitbit heart rate data from 26 individuals with schizophrenia-spectrum diagnoses and 26 matched controls. Frequency-domain analyses focused on ultra-low frequency (ULF), very low frequency (VLF), and truncated low frequency (tLF) bands, given sampling constraints. Schizophrenia participants showed significantly reduced power …