Digital Commons Network^™

Predicting Simulation Times For Multiphase Thermal-Hydraulic Models, Andrew Yule, Andrew Taylor

SMU Data Science Review

Addressing the challenge of computationally intensive OLGA

simulations in the oil and gas industry, a machine learning framework is

developed for accurate runtime prediction. A specialized feature extraction

pipeline identifies key parameters—such as simulation time, time step,

number of branches, and section count—from OLGA input files that serve as

high-impact predictors. Multiple predictive models, including regression,

tree-based ensembles, and neural networks, are implemented to validate

accuracy and robustness. Results reveal that prioritizing simulations based on

predicted runtimes optimizes licensing resources and reduces operational

costs, making real-time scheduling more efficient. This research demonstrates

the effectiveness of data-driven runtime prediction in enhancing …

Ai-Powered Compliance: Accelerating Efficiency And Decision-Making For Compliance Related Inquiries., Amberly R. Rodriguez

SMU Data Science Review

This research examines the potential of an AI-powered chatbot to streamline compliance workflows by reducing the time and effort required to locate and interpret complex compliance documents. The prototype integrates a centralized MySQL-based document repository, a contextual document querying engine, and a Streamlit web interface, enabling employees to retrieve accurate, document-backed answers within seconds. The system supports both stored and user-uploaded documents, with features such as automated summarization and source citations to enhance transparency and trust. Manual evaluation demonstrated notable gains in efficiency and accuracy compared to traditional search methods, with strong potential to improve adherence to compliance policies. Future …

Ai-Driven Optimization Of Wind Energy Distribution In Texas Using Multi-Agent Reinforcement Learning, Waleed Amer, Owolabi Oluwadamilola, Bassey Ogbonnaya

SMU Data Science Review

Abstract. The integration of large-scale wind power into modern electrical grids presents persistent challenges due to variability, curtailment, and compliance with operational constraints. This study proposes a multi-agent reinforcement learning (MARL) framework for optimizing wind energy distribution within the Texas power grid. The system employs three specialized agents—managing wind curtailment, storage utilization, and load adjustments—to collaboratively balance supply and demand under dynamic grid conditions. Using historical operational data from the Electric Reliability Council of Texas (ERCOT), the framework was trained and evaluated on a range of scenarios encompassing both typical and extreme operating conditions. Results demonstrate substantial performance improvements compared …

A Comparative Time Series Analysis Of The Arima And Temporal Fusion Transformer (Tft) Models, Catherine Ticzon, Aaron Abromowitz, Bivin Sadler

SMU Data Science Review

Several new transformer-based time series models have been developed in the past five years and research has provided evidence of these models’ superior performance compared to classic statistical models such as ARIMA. While transformer-based models show impressive performance on baseline datasets, no research has been done on the robustness of these models on datasets with controlled modifications and in a replicable manner. In this paper, the Temporal Fusion Transformer (TFT) model was compared to the classical statistical model ARIMA on simulated data using multiple horizons. Data were simulated using a linear combination of exogenous variables; in total, 50 realizations of …

Analyzing The Global Happiness Index, Victoria Hernandez, Christy W. Wachira

SMU Data Science Review

This study explores the Global Happiness Index using data compiled from the OECD and Our World in Data to identify key factors contributing to societal well-being. Six primary predictors were analyzed: GDP per capita, social support, healthy life expectancy, freedom to make life choices, generosity, and perceptions of corruption. Regression and clustering techniques were employed to uncover patterns among countries. By expanding the analytical scope beyond conventional economic and social indicators, this study helps identify new pathways for improving well-being across diverse cultural and economic landscapes. Additional variables such as perceived safety, political engagement, and values related to family and …

A Decolonial Approach To International Education: Insights From A Cal Poly Global Program In Palermo, Sicily., Elvira Pulitano, Iyad Jamaly

csuglobaljournal

This article presents a critical intervention in the current debates about decolonizing international education. It is based on a Global Program in Palermo, Sicily, offered by Cal Poly San Luis Obispo in summer 2023. As both program creator/director and student participant in the program, the authors rely on their personal experience and insights along with expertise in coloniality and decolonial theories. The article focuses on a series of pedagogical activities led by a young group of migrants and refugees who, in the city of Palermo, have come together to form two associations designed and structured to offer new contemporary models …

Intergenerational Transfers In A Tractable Overlapping-Generations Setting, James Feigenbaum, T. Scott Findley, Sepideh Raei

Economics and Finance Faculty Publications

Motivated by the Generation-Skipping Transfer Tax (GSTT) in the United States, we examine how varying estate tax rates by the heir’s age affects welfare. Methodologically, we introduce a parsimonious constant elasticity of substitution (CES) bequest utility that is markedly more tractable than the altruistic specifications commonly used in the literature, delivering closed-form optimal rules and transparent parameterization. Using this new framework, we provide a proof of concept showing how transfers from older to younger generations can enhance equilibrium welfare in a dynamically efficient economy à la Samuelson (1975). We embed the tractable bequest utility in a two-period overlapping-generations model with …

The Relationship Between Walking Vs Running And Mental Health, Kim Ning

Science University Research Symposium (SURS)

The present study examined how mental health, specifically depression, anxiety, and stress, relates to the amount of hours one spends in a week walking or running. While previous research has focused on the general effects of physical exercise on mental health, few studies have compared the influence of high intensity physical activity to low intensity physical activity specifically in college students` mental health outcomes. Fifty-five (N=55) Belmont University students were asked to fill out a questionnaire about the amount of hours they spent running or walking in a week and different mental health surveys. A series of six correlation tests …

Sense Of Belonging And Student Success Among College Students, Sriram Tandri Mr

Science University Research Symposium (SURS)

Abstract

A sense of belonging and self-efficacy are vital needs of college students, both shown to be significant predictors for student success. Thus, our study will focus on academic performance and the contributing factors that might have a significant influence on overall student success rates. The purpose of the present project is to build upon prior research by developing a new measure in the field of social psychology, investigating the relationship between college students’ sense of belonging, combined with individual factors such as self-efficacy, and how they contribute to student success and academic performance. This study consists of a quantitative, …

Anxiety’S Relationship With Caffeine Usage And Frequency, William H. Simmons, Kyra Cannon, Harry Lackey

Science University Research Symposium (SURS)

Previous research has suggested mixed findings regarding caffeine’s relationship with anxiety, despite caffeine being the most widely consumed psychoactive substance. This study investigated this relationship further, exploring whether caffeine consumption is associated with perceived anxiety symptoms. Sixty-five participants completed an online survey through Qualtrics that assessed daily caffeine intake and anxiety levels using the Generalized Anxiety Disorder-7 (GAD-7) scale. A linear regression tested the relationship between levels of caffeine use and perceived levels of anxiety. An independent samples t-test compared anxiety levels between participants who consume less than 400 mg of caffeine and those who consume 400 mg or more. …

Visual Attention, Emotional Arousal, And Moral Judgment In Legal Evidence Processing, Audrey G. Laskey, Kyra Cannon, Josette Sanders, Lingfei Luan

Science University Research Symposium (SURS)

Moral judgment in legal decision-making is influenced not only by the evidence presented but also by emotional and attentional processes. Prior research has shown that physiological arousal during exposure to emotionally charged or socially relevant information can shift the way evidence is evaluated and weighted in decision-making (Armstrong & Olatunji, 2012; Godwin et al., 2016). However, few studies have examined how autonomic arousal relates to guilt decisions using real, high profile case materials. We were interested in examining how possible exposure to violent content on social media might desensitize individuals, like jurors, leading to lighter judgments for serious crimes. This …

Selective Attention With Lyrical Music Vs. No Music, Scovs Majors, Rachel Falleur, Kim Niang, Olivia Pokrifcsak

Science University Research Symposium (SURS)

Selective attention refers to the brain’s ability to focus on relevant information while filtering out distractions. Research suggests that language cues and semantic context can shape how attention is directed, indicating that cognitive control is context-dependent (Reisman, 1964). Environmental factors such as background noise can also disrupt attention, leading to reduced accuracy on cognitive tasks (Pearson & Lane, 1984). In the present study, we examined music as both a linguistic and environmental variable influencing selective attention. Previous findings indicate that lyrical music can serve as a significant distractor, impairing attentional performance in both music and non-music majors (Darrow et al., …

Body Image In Athletes Compared To Non-Athletes, Madeleine R. Scott, Yara Ali, Hana Sokolovic, Jenny Glenn

Science University Research Symposium (SURS)

This current study examines the relationship between student athletes and body image. Current research demonstrates that body image has become a growing concern regarding young adults, yet few studies have investigated whether there is a relationship between body image and being a student athlete, specifically regarding their body dissatisfaction, negative eating behaviors, social comparison, and self-objectification. In this study, ninety (N= 90) students at Belmont University participated in a survey that assessed their body dissatisfaction, negative eating behaviors, social comparison, and self-objectification. Of our total participants, twenty eight (N= 28) reported to be part of a student athlete organization, while …

Relationship Satisfaction Among College Students, Gracie L. Sager, Makenna A. Stratton, Kyrah Brodie, Autumn R. Thomas

Science University Research Symposium (SURS)

Understanding relationship satisfaction is essential to individual well-being, particularly in college populations, as it relates to happiness, mental and physical health, and everyday functioning. Existing measures lack sensitivity to developmental dynamics shaped by evolving expectations and modern relationship stressors. This study aimed to develop a measure that examines the relationship between overall relationship satisfaction and key factors in romantic relationships, including partner support, relationship conflict, relationship length, and communication quality among college students. We hypothesize that the newly developed measure of relationship satisfaction will demonstrate good internal reliability (Cronbach’s α ≥ .700.) We also expect that perceived partner support would …

The Effect Of Noise Pollution On The Diversity And Abundance Of Bird Species At Different Locations At Warner Parks, Nashville, Tn, Jeremy T. Little, Wyatt L. Fooks, Darlene Panvini, Jackson Whiteside

Science University Research Symposium (SURS)

Noise pollution is a significant abiotic factor that can alter bird biodiversity and abundance of birds in urbanized areas. A new road is proposed through a relatively untouched area of Warner Parks in Nashville, TN, which may affect the bird community. Acoustic Song Meters were used to monitor bird sounds and soundscapes in the proposed road site and two areas of the park with different levels of noise pollution (roadside=high noise; isolated=low noise) for three weeks. Recordings were analyzed to determine bird species and abundance at each site to predict how increasing noise pollution may affect bird diversity in the …

Antifungal Effects Of Fatty Acids On The Growth Of Ophidiomyces Ophiodiicola In A Simulated Snake Skin Environment, Krupa S. Patel, Lizbeth Delarosa, Jacey Cardenas, Thalia Rodriguez, John Niedzwiecki

Science University Research Symposium (SURS)

Emerging infectious diseases have increasingly threatened wildlife populations worldwide, with devastating impacts observed in frogs, bats, and more recently, snakes. Snake fungal disease (SFD), caused by the pathogenic fungus Ophidiomyces ophiodiicola (Oo), currently poses a serious threat to snake populations across multiple regions. Infected snakes exhibit disrupted skin shedding, rough or scaly patches, crusty sores, and ulcers that compromise their health and survival. Although the mechanisms underlying transmission and susceptibility to SFD remain unclear, the snake cutaneous microbiome is known to act as a defensive barrier, mediating interactions between the host and invading pathogens. The lipid layer is a key …

Fungal Foes And Fatty Defenses: How Simulated Snake Skin Lipids Influence Ophidiomyces Ophiodiicola Growth, Thalia Rodriguez, Jacey Cardenas, Lizbeth Delarosa, Krupa Patel, John Niedzwiecki

Science University Research Symposium (SURS)

Emerging fungal diseases are a continuous threat to wildlife health as well as biodiversity. Fungal diseases, such as white nose syndrome in bats, can devastate populations by disrupting their ecosystems. Many other species around the world are affected by fungal diseases, such as amphibians, birds, and snakes. In more recent years, snake fungal disease (SFD) emerged due to the fungal pathogen Ophidiomyces ophiodiicola (O.o). Like Pseudogymnoascus destructans, the fungal pathogen responsible for white nose syndrome, O.o targets the skin which contains many fatty acids. Some studies have shown that fatty acids present in bat skin are able to inhibit fungal …

Surviving The Seasons: Climate And Time Effects On Native Songbirds, Essence Donaldson, Todd Hoskinson, John Niedzwiecki

Science University Research Symposium (SURS)

Bird populations across North America have declined sharply in recent decades due to habitat loss, climate change, and changes in food availability. As bird numbers fall, ecosystems lose essential pollinators, seed dispersers, and insect predators. Long-term monitoring of bird populations is vital for understanding how environmental changes influence their survival and abundance. This study examines capture data from a long-term bird banding station at Percy Warner Nature Center in Nashville, Tennessee, focusing on five native species: Northern Cardinal (NOCA), American Robin (AMRO), American Goldfinch (AMGO), Tufted Titmouse (TUTI), and Carolina Chickadee (CACH), from fall 1983 to fall 2023. We analyzed …

Kairiomone Moderated Anti-Predator Responses In Pleurocera Laqueta, Daisy V. Mcleod, John Webb, Amanda Waggoner, John Niedzwiecki

Science University Research Symposium (SURS)

Predator-prey coevolution in freshwater ecosystems often involves chemical communication, where the prey detect predator released compounds known as kairomones. These chemical cues allow prey to alter behavior to reduce risk of predation. In Middle Tennessee streams, the native snail Pleurocera laqueata commonly coexists with predator crayfish, and previous studies have shown that exposure to crayfish kairomones can induce an anti-predator “crawl out” response. This response is commonly demonstrated through snails climbing above the waterline to avoid crayfish predators below. We hypothesized that Pleurocera laqueata would display a similar anti-predator response when exposed to both native and non-native crayfish cues. After …

Physiological Response To Concealed Information In A Mock-Crime Paradigm​, Ezra Koenigsberg, Tamya Mchenry, Jasmine Manzana, Taylor Powell, Samantha Jackson

Science University Research Symposium (SURS)

The Concealed Information Test (CIT), based on Lykken’s guilty knowledge framework, measures physiological responses when individuals recognize crime-related details compared to neutral alternatives. Previous studies show that variations in stimulus presentation enhance the CIT’s accuracy, especially through changes in electrodermal activity and heart rate. However, few studies have tested whether a Qualtrics-based mock-crime version of the CIT can replicate these physiological patterns. This study addresses that gap by adapting the CIT for a digital research environment. The goal is to determine whether participants show greater physiological arousal—measured through skin conductance, heart rate, and respiration—when exposed to crime-related “critical” stimuli compared …

Deconstructing The Black Box: An Explainability Analysis Of Deep Learning Architectures In Cytopathology, Chase A. Garrett

Master's Theses or Doctor of Nursing Practice

Deep learning shows strong potential in medical-image analysis, yet adoption in cyptopathology remains limited. Cytopathology could benefit from deep learning applications by improving diagnostic efficiency and accuracy. However deep learning comes with a notorious “black box” that keeps the models from being transparent and trustworthy for widespread clinical adoption. We conducted a comprehensive and comparative analysis of several deep learning architectures for multi-class classification of acute leukemia types, ALL, AML, and normal healthy cells from peripheral blood smear images. The models in this research include a Vision Transformer (ViT) and a diverse selection of Convolutional Neural Network (CNN) models. The …

Characterization Of Antiretroviral Therapy (Art) Adherence Phenotypes And Psychosocial Symptom Clusters Among Black/African American (Aa) And Hispanic/Latine Adolescents And Young Adults (Ayas) With Hiv In The Adherence Connection For Counseling, Education, And Support (Access-Ii) Trial, Ann-Margaret Navarra, Taehoon Ha, Eva Liang, Maurade Gormley, David R. Garcia, Jason Fletcher, Lloyd A. Goldsamt, Michael G. Rosenberg, Karin Hasegawa, Jie Yang

School of Nursing Faculty Publications

Antiretroviral therapy (ART) adherence behavior is heterogeneous among adolescents and young adults (AYAs) with HIV and influenced by individual and interpersonal psychosocial factors. The primary objective of this study is to characterize ART adherence phenotypes and psychosocial symptom clusters, as related to ART adherence and HIV viral load suppression. This analysis included 60 AYAs with HIV enrolled in an ART adherence support clinical trial. Self-reported ART adherence at baseline, 12-weeks, and 24-weeks was used to define four ART adherence phenotypes: consistently high adherence (YY), early-only adherence (YN), late-only adherence (NY), and consistently low adherence (NN). Symptom clusters were empirically derived …

Flow Control Tactics For Photovoltaic Modules: Coherent Structure And Heat Shedding Amplification, Sarah Elizabeth Smith

Dissertations and Theses

Solar photovoltaic systems have become the fastest growing renewable technology in the last several years. However, large-scale systems are at the mercy of their external environments, where extreme heating and wind-flung debris impact their efficiency and useable life. The work in this dissertation presents studies aimed to both understand and mitigate for these effects by identifying the underlying physics which govern them. Exploring flow control as a tactic to combat environmental heating, collective work discusses the role of turbulent fluid dynamics within large-scale systems as pertains to convective heat transfer, turbulent structure formation, and particle-laden environments. Wind tunnel experiments on …

Teacher Perceptions Of School Leadership: Trust, Fairness, And Support As Predictors Of Student Achievement, Trever B. Smith

Honors Theses

This quantitative study examined the relationship between staff–leadership working conditions and student achievement outcomes in Kentucky high schools. This research makes use of extant data from the Impact Kentucky Working Conditions Survey for the 2023-2024 school year. The researcher particularly studied the correlation between teacher perceptions of trust, fairness, and support from principals and student achievement in the Kentucky Summative Assessment (KSA). Teacher perceptions of working conditions were generally favorable, though trust and perceptions of school leadership emerged as weaker areas. Correlation analyses indicated only weak, nonsignificant associations between leadership working conditions and student achievement outcomes at the statewide level. …

For Pete's Sake: A Comparative Analysis On Quantum Review After Pete V. Boland, Joseph X. Kehrli

Louisiana Law Review

No abstract provided.

When Scripts Diverge: Strengthening Low-Resource Neural Machine Translation Through Phonetic Cross-Lingual Transfer, Ammon Shurtz

Theses and Dissertations

Multilingual Neural Machine Translation (MNMT) models enhance translation quality for low-resource languages by exploiting cross-lingual similarities during training--a process known as knowledge transfer. This transfer is particularly effective between languages that share lexical or structural features, often enabled by a common orthography. However, languages with strong phonetic and lexical similarities but distinct writing systems experience limited benefits, as the absence of a shared orthography hinders knowledge transfer. To address this limitation, we propose an approach based on phonetic information that enhances token-level alignment across scripts by leveraging transliterations. We systematically evaluate several phonetic transcription techniques and strategies for incorporating phonetic …

Educational Policy, Implementation, And Challenges: A Case Study Of Administrative Practice In Using Student Growth Measures For Instructional Improvement In A K-12 School District In Northern New Jersey, Dean Robinson

Theses and Dissertations

This qualitative single holistic case study explores how school administrators in a Northern New Jersey district implement student growth measures (SGMs) mandated by the New Jersey Department of Education. Grounded in Lipsky’s (1980) theory of street-level bureaucracy, Wright’s Connected Actions Roadmap (2022), and Argyris and Schön’s (1978) theory of action, this work examines how administrators in the case study navigate policy mandates while addressing the demands of leading their schools. Data was collected through two rounds of semi-structured interviews with eleven administrators, supplemented by field notes. Thematic analysis revealed five areas: administrative agency in balancing compliance and authenticity, collaboration as …

Constraints On Axionlike Particles From Veritas Observations Of A Flaring Radio Galaxy In The Perseus Cluster, Avery Archer, C. B. Adams, P. Bangale, J. T. Bartkoske, W. Benbow, J. L. Christiansen, A. J. Chromey, A. Duerr

Physics & Astronomy Faculty publications

Axion-like particles (ALPs) are hypothetical particles that emerge in numerous theoretical extensions to the Standard Model. Their coupling to electromagnetic field implies that ALPs would mix with photons in the presence of external magnetic fields. As ALP phenomenology is governed by the mass and strength of its coupling, there is a subset of this parameter space in which this mixing would be expected to leave an imprint on the spectra of TeV γ-ray sources. In 2017, the VERITAS γ-ray observatory recorded the second day of a dramatic flare of the radio galaxy NGC 1275, embedded at the center of the …

Node-Attributed Spatial Graph Partitioning: A Kullback-Leibler Divergence Based Approach, Valentin Nechita

Electronic Theses and Dissertations 2020 - Present

This thesis presents a novel approach to node-attributed spatial graph partitioning (NSGP) that addresses limitations in existing homogeneity measures. We introduce a Kullback-Leibler (KL) divergence-based formulation we name KLD that measures attribute similarity by comparing each node’s distribution to its subgraph centroid, providing a computationally efficient method of measuring homogeneity. Integrated within a multilevel graph partitioning framework and Fiduccia-Mattheyses refinement, our approach achieves approximately 90% runtime reduction compared to the baseline Clustering and Local Refinement (CLR) algorithm while maintaining comparable partition quality. Applied to COVID-19 infection data combined with American Community Survey demographics across U.S. FIPS codes, KLD successfully identifies …

Optical, Electrical, And Structural Properties Of Nio Thin Films, Derived By Sol–Gel Method, Tatyana Ivanova, Antoaneta Harizanova, Nikolay Petkov

Physical Sciences Publications

NiO films were successfully deposited by sol–gel spin coating on Si, glass, and ITO-covered glass substrates. The impact of the film thickness (the different number of layers), annealing temperatures (from 300 to 500 °C), and the substrate type on the crystal structure, film morphology, optical, and vibrational properties was investigated. X-ray diffraction (XRD) revealed a polycrystalline structure and the appearance of the cubic NiO phase. Field Emission Scanning Electron Microscopy (FESEM) was applied to explore the surface morphology of NiO films, deposited on glass and ITO substrates. The oxidation states of Ni were determined by X-ray photoelectron spectroscopy (XPS). The …