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Bridging The Digital Divide In Biomedical Healthcare: Policy Solutions For Equity In Access, Literacy, And Infrastructure, Brooke E. Turner, Emmy L. Colon Alamo
Bridging The Digital Divide In Biomedical Healthcare: Policy Solutions For Equity In Access, Literacy, And Infrastructure, Brooke E. Turner, Emmy L. Colon Alamo
Undergraduate Scholarship and Creative Works
This paper explores the intersection of digital inequity and biomedical healthcare access in the United States, positioning the digital divide as a structural determinant of health. As telehealth and digital platforms become central to care delivery, communities lacking broadband infrastructure, digital literacy, and affordable internet access face compounded barriers to equitable healthcare. The study introduces five critical dimensions—access, availability, adequacy, acceptability, and affordability—as a framework for addressing these disparities. It proposes the Rhizomatic Digital Ecosystem Framework to guide national and local interventions, emphasizing the need for public investment in broadband expansion, digital education, and affordability programs. By treating digital access …
Urban Isolation In The Digital Age- Examining The Sociological Impact Of The Digital Divide On Civic Life In U.S. Cities, Delante Clark
Urban Isolation In The Digital Age- Examining The Sociological Impact Of The Digital Divide On Civic Life In U.S. Cities, Delante Clark
Graduate Scholarship and Creative Works
The digital divide remains a persistent barrier to civic participation and social inclusion in urban America, particularly in historically underserved communities. This mixed-methods study investigates how digital lack of access affects civic engagement, social capital, and community cohesion in U.S. cities, with a focus on Chicago’s South Side, Harlem New York, St. Louis, and Orlando. Drawing on quantitative data from recent surveys and qualitative insights from peer-reviewed literature, the research applies four sociological frameworks, Urban Sociology, Social Capital Theory, Critical Race Theory, and Symbolic Interactionism. These were used to examine the structural and interpretive aspects of digital isolation. Findings reveal …
Curaçao's Tourism Transformation: Building A Legacy Of Growth, Manuel Rivera, Margaret Zorrilla
Curaçao's Tourism Transformation: Building A Legacy Of Growth, Manuel Rivera, Margaret Zorrilla
Dick Pope Sr. Institute Publications
Tourism in Curaçao has experienced remarkable growth, with total arrivals increasing from 582,400 in 2023 to 700,242 in 2024. This surge reflects the island’s rising appeal as a destination and sets the foundation for the significant economic contributions that follow.
Where Music Shapes A Legacy, Manuel Rivera, Margaret Zorrilla Cortez
Where Music Shapes A Legacy, Manuel Rivera, Margaret Zorrilla Cortez
Dick Pope Sr. Institute Publications
The 2025 Curaçao North Sea Jazz Festival (CNSJF) reinforced its reputation as one of the Caribbean’s leading cultural events, delivering substantial economic benefits, an outstanding visitor experience, and deepening loyalty to both the festival and Curaçao. CNSJF 2025 stands as a powerful engine for Curaçao’s economy, a benchmark for festival experiences, and a driver of lasting loyalty and advocacy for both the event and the island. Its legacy is not only musical but also economic and cultural, shaping how visitors connect with Curaçao for years to come.
A New Dawn Of Joy: How Joy Is Cultivated Among Black Transgender And Nonbinary Young Adults In Florida, Courtney Marciá Gardner
A New Dawn Of Joy: How Joy Is Cultivated Among Black Transgender And Nonbinary Young Adults In Florida, Courtney Marciá Gardner
Graduate Thesis and Dissertation post-2024
The state of Florida had a record-breaking number of implemented and proposed policies between 2023-2024 that impacted transgender and nonbinary individuals. Black transgender and nonbinary people are particularly impacted by these policies due to the compounded effects of their race and gender identity. Nonetheless, despite the growing literature on Black transgender and nonbinary individuals, a lack of research exists examining positive aspects of intersectional experiences among Black transgender and nonbinary individuals. This qualitative study shifts away from deficit centered frameworks by investigating how Black transgender and nonbinary young adults in Florida cultivate joy in their lives. This study uses a …
Food Insecurity Among University Students And The Barriers To Utilizing Food Assistance Programs During And After Hurricanes Ian And Nicole, Carvis C. Durr
Food Insecurity Among University Students And The Barriers To Utilizing Food Assistance Programs During And After Hurricanes Ian And Nicole, Carvis C. Durr
Graduate Thesis and Dissertation post-2024
Background and objectives: Food insecurity (FI) is a pressing concern among university students in the United States. Natural disasters such as hurricanes can exacerbate this issue, particularly for low-income individuals, including university students. Although a range of campus, community, and federal food assistance programs (FAPs) are available, students often face barriers to accessing these resources. However, limited research has explored FI among university students in the context of hurricanes, particularly how students utilize FAPs and the challenges they encounter in accessing them. This dissertation aims to (1) understand the prevalence of FI among students, especially socially vulnerable groups at the …
Hetero-Cisgender Rituals: The Oppression Of Sexual- And Gender-Minoritized People, Bertha A. Ben Khallouq
Hetero-Cisgender Rituals: The Oppression Of Sexual- And Gender-Minoritized People, Bertha A. Ben Khallouq
Graduate Thesis and Dissertation post-2024
Among the groups that experience health inequalities in the United States, sexual- and gender-minoritized people figure prominently. Medical practitioners are tasked with alleviating these health inequalities, and it has been suggested that through the education of new physicians, we can decrease these inequalities. This perspective, however, neglects that medical students are social actors and their socialization begins long before medical school. In the present study, I develop a framework for understanding hetero-cisgender rituals that medical students experience and participate in before starting their medical training. I answer three research questions: (1) To what extent do medical students witness hetero-cisgender rituals? …
The Sociological Engagement In John Coltrane's A Love Supreme: Examining The Impacts Of Race, Music, And Culture In Video-Based Learning Amongst College Students, Kinyel K. Ragland Sr.
The Sociological Engagement In John Coltrane's A Love Supreme: Examining The Impacts Of Race, Music, And Culture In Video-Based Learning Amongst College Students, Kinyel K. Ragland Sr.
Graduate Thesis and Dissertation post-2024
This project consists primarily of the interest in Video Based Learning (VBL) and understanding the impacts of a video based on the connections between John Coltrane’s song Acknowledgement on the Jazz suite A Love Supreme to the Civil Rights movement and systemic racism. Research confirms that VBL has an impact on student learning, yet this project finds that because of the content of the video, it fits into scholarship where there are gaps. The methodological approach, which was qualitative, found that students were overall enlightened, entertained, and were interested in learning more. Other findings include suggestions and recommendations for future …
Queer And Thriving: Community As Resilience In An Anti-Lgbtq State, Lauren Aitken
Queer And Thriving: Community As Resilience In An Anti-Lgbtq State, Lauren Aitken
Graduate Thesis and Dissertation post-2024
Lesbian, gay, bisexual, transgender, and queer (LGBTQ) people are subject to unique, chronic, and socially based stressors known as minority stressors. Community can be an important resource for LGBTQ people which can help mitigate the harmful effects of minority stressors. This study sought to understand how minority stressors, such as institutionalized forms of prejudice, discrimination, and violence, affect LGBTQ people in Central Florida and how community connectedness can be used as a resource to mitigate those effects. This study used Central Florida as a research site because of its large LGBTQ population within a state where anti-LGBTQ laws are consistently …
A Mathematical Modeling Approach To Investigate The Impacts Of Post-Infection Mortality And Partial Immunity On Disease Endemicity, Brendan M. Shrader
A Mathematical Modeling Approach To Investigate The Impacts Of Post-Infection Mortality And Partial Immunity On Disease Endemicity, Brendan M. Shrader
Honors Undergraduate Theses
A number of infectious diseases cause post-infection conditions or complications, such as COVID- 19, Q fever, and Polio. These conditions result in recovered individuals having a higher mortality rate than susceptibles, and this can impact disease dynamics. An existing mass-action model in the literature that incorporated post-infection mortality was shown to have limit cycles, or persistent oscillations, in the infected population. To better understand what causes these limit cycles, we develop and analyze a new epidemiological model with standard incidence. We show standard results, including the existence, uniqueness, and stability of the disease-free and endemic equilibria, and we rule out …
Sexual And Reproductive Health Access Among Racial/Ethnic Minority College Students, Srithanvi Pasunuri
Sexual And Reproductive Health Access Among Racial/Ethnic Minority College Students, Srithanvi Pasunuri
Honors Undergraduate Theses
Sexual and reproductive health (SRH) is critical for individual well-being, yet significant disparities in access persist among racial and ethnic minority college students in the United States. These inequities, driven by systemic barriers such as financial constraints, cultural stigmas, and inadequate campus resources, contribute to higher rates of unintended pregnancies, sexually transmitted infections (STIs), and poor health outcomes within these populations. This systematic review aims to identify and synthesize existing literature on the barriers to SRH access for racial and ethnic minority college students, explore how cultural, social, and institutional factors influence service utilization, and assess interventions proven effective in …
Factors Involved On The Attribution Of Consciousness To Generative Artificial Intelligence And Its Impact On Trust, Sophia Fernanda Sakakibara Olgini Capello
Factors Involved On The Attribution Of Consciousness To Generative Artificial Intelligence And Its Impact On Trust, Sophia Fernanda Sakakibara Olgini Capello
Honors Undergraduate Theses
This study investigates the cognitive factors influencing the perception of mind in generative artificial intelligence systems, focusing on the role of prior experiences with them, theory of mind (ToM), and the tendency to anthropomorphize. The research examined how these factors predict perceived consciousness in ChatGPT and impact users' trust in this system, specifically exploring: (1) how ToM and anthropomorphism contribute to AI consciousness perception, (2) how prior AI experiences influence consciousness attribution, (3) the relationship between consciousness attribution and trust in AI, and (4) how perceptions of AI consciousness relate to mind perception in other entities. Undergraduates (N= 220) completed …
Reentry Realities: Examining The Role Of Aftercare Programs In Supporting Justice-Involved Youth, Lynda Girven
Reentry Realities: Examining The Role Of Aftercare Programs In Supporting Justice-Involved Youth, Lynda Girven
Honors Undergraduate Theses
The current study examined if aftercare and reentry programs helped to reduce recidivism among youth who have been involved in the juvenile system, and specifically, youth released from residential placement facilities. Different components of aftercare programs were also examined, such as the inclusion of mentoring or family support, how many services were offered, and if the program followed the Risk-Need-Responsivity (RNR) model. Through completing a systematic review of studies published since 2008, five studies met the inclusion and exclusion criteria. All five studies found that the youth who received services through aftercare programs were less likely to reoffend than youth …
Examining The Impact Of Resilience And Sense Of Community On Mental Health And Academic Performance, Samara B. Coleman
Examining The Impact Of Resilience And Sense Of Community On Mental Health And Academic Performance, Samara B. Coleman
Honors Undergraduate Theses
Within the United States, a third of college-aged young adults are diagnosed with at least one psychological disorder. Resilience, the ability to bounce back from adversity, has been shown to help mitigate the adverse effects of burnout and stress, and support academic performance in some cases. Additionally, a sense of community has also been shown to be crucial in buffering the negative consequences of adversity. The following research questions guide this study: 1) How significant a role does the community play in resilience and mental health? 2) How does resiliency relate to the academic performance of students experiencing varying levels …
The Evolution Of Surveillance And The Decline Of Privacy, Alan J. Geyer
The Evolution Of Surveillance And The Decline Of Privacy, Alan J. Geyer
Honors Undergraduate Theses
This study directly examines how surveillance law and technology have evolved in the United States and how privacy rights have declined correspondingly. The study specifically focuses on how advancements in surveillance technology have overstepped the boundaries of Fourth Amendment protections and analyzes whether these provisions are adequate for protecting citizens in the modern technological era. The study explores newly employed methods of technological surveillance, such as facial recognition, data collection, and automated license plate readers. It focuses on how government surveillance programs have reshaped legal and ethical understandings of privacy. The changes in surveillance and technology have been analyzed by …
The Association Between Pain Sensitivity And Low Energy Availability, Sleep, Mental Health, And Stress In Female Endurance Athletes, Taylor R. Moler
The Association Between Pain Sensitivity And Low Energy Availability, Sleep, Mental Health, And Stress In Female Endurance Athletes, Taylor R. Moler
Honors Undergraduate Theses
The disruption of certain physiological functions due to low energy availability (LEA) in female endurance athletes is a prominent concern. This condition resulting from LEA has been described as Relative Energy Deficiency in Sport (RED-S), which can include alterations in metabolism, menstrual function, bone deposition and resorption, mental well-being, and more. The goal of this study was to determine whether pain sensitivity was associated with LEA, sleep, mental health, and stress in female endurance athletes. Participants completed a demographic survey, the Low Energy Availability in Females Questionnaire (LEAF-Q), the Pittsburgh Sleep Quality Index (PSQI), the Patient Health Questionnaire (PHQ-4), and …
Barriers To Postpartum Depression Treatment: Availability And Accessibility Of Maternal Behavioral Health-Inclusive Support Groups For Low-Income Populations, Radhika S. Venkatesan
Barriers To Postpartum Depression Treatment: Availability And Accessibility Of Maternal Behavioral Health-Inclusive Support Groups For Low-Income Populations, Radhika S. Venkatesan
Honors Undergraduate Theses
The maternal health crisis is a prevalent and concerning issue in the United States. The lack of efficient availability and accessibility to health care services plays a significant role in augmenting this problem. One health care service that is often understudied is support groups, for prevalent issues like postpartum depression. Considering the socioeconomic burdens of low-income mothers, this paper analyzed the accessibility and availability of maternal health support groups across counties in Florida, with varying amounts of individuals below the federal poverty level (%BPL). Essentially, Florida counties were divided into one of four categories depending on their %BPL. A Fisher’s …
Development Of Cerium Oxide Based Polymer Composites With Enhanced Cytocompatability For Biomedical Applications, Roshna Cherugail
Development Of Cerium Oxide Based Polymer Composites With Enhanced Cytocompatability For Biomedical Applications, Roshna Cherugail
Honors Undergraduate Theses
This thesis presents the synthesis and characterization of cerium oxide nanoparticles (CNPs), and silver-doped cerium oxide nanoparticles (AgCNPs) loaded in alginate beads that were designed to be applied in biomedical settings. Cerium oxide was chosen for its antioxidant and anti-inflammatory capabilities, and silver oxide was selected to enhance antimicrobial functionality, both of which are pivotal in expedited wound closure and promoting cellular proliferation. Through the use of an advance electrospray encapsulation apparatus, alginate-based polymer beads were created by incorporating either CNPs or AgCNPs into the matrix. These beads were later characterized using a range of microscopic and FTIR analyses, in …
Unlocking Human-Robot Dynamics In Restaurants: Exploring The Mechanisms Underlying The Impacts Of Service Robots’ Social Cues On Restaurant Customer Behaviors, Yusi Cheng
Graduate Thesis and Dissertation post-2024
The rise of service robots (SRs) is reshaping service delivery, particularly in the dining sector where guiding and delivering robots are increasingly prevalent. However, understanding how customers interact with SRs and respond to their social cues in the dining environment remains unclear and fragmented. This dissertation aims to bridge this gap by comprehensively understanding the social cues of SRs and their influences on customer behaviors. Specifically, the objectives are to (1) understand prominent social cues and customer responses; (2) identify key SR-related social cues; (3) explore customer-SR interaction outcomes; (4) explain why certain social cues elicit particular customer responses; (5) …
Mechanistic Insights Into The Antimicrobial Action Of Fungus-Derived Xanthoquinodins Against Clostridioides Difficile, Erika A. Serravalle
Mechanistic Insights Into The Antimicrobial Action Of Fungus-Derived Xanthoquinodins Against Clostridioides Difficile, Erika A. Serravalle
Graduate Thesis and Dissertation post-2024
The bacterial pathogen Clostridioides difficile is the leading cause of antibiotic- and healthcare-associated diarrhea, imposing significant clinical and economic impacts. The emergence of hypervirulent strains, such as PCR ribotype 027 (RT027), has exacerbated disease severity, recurrence rates, antibiotic resistance, and epidemiological spread. Expanding resistance profiles among C. difficile strains continue to limit the effectiveness of current IDSA-SHEA recommended therapies, which are already compromised by high recurrence rates due to antibiotic-induced disruption of the gut microbiota. These challenges highlight the urgent clinical need to identify and characterize antimicrobial compounds targeting alternative pathways in C. difficile physiology. We report the discovery and …
Towards Supporting Undergraduate Students To Become Lifelong Learners: A Multimethod, Multimodal, And Multigranular Analysis Of Motivation And Self-Regulated Learning In Context, Sierra Outerbridge
Towards Supporting Undergraduate Students To Become Lifelong Learners: A Multimethod, Multimodal, And Multigranular Analysis Of Motivation And Self-Regulated Learning In Context, Sierra Outerbridge
Graduate Thesis and Dissertation post-2024
This publication-based dissertation includes three manuscripts with distinct statistical methods to investigate self-reported motivation, self-reported self-regulated learning (SRL), and enacted SRL processes in undergraduate student contexts towards understanding how students learn how they learn.
The first manuscript focused on 1248 undergraduate statistics students, utilized self-reported motivation, and interpreted logfile data of time spent within an online textbook through the lens of SRL using hierarchical cluster analysis followed by k-means cluster analysis to identify four distinct motivation clusters. Results from a repeated measures ANOVA suggest that students did not spend time differently within the textbook, whereas there were differences between motivation …
On High-Speed Breakup Of Water Droplets Behind High Mach Number Shocks, Sydney M. Briggs
On High-Speed Breakup Of Water Droplets Behind High Mach Number Shocks, Sydney M. Briggs
Graduate Thesis and Dissertation post-2024
Water droplet breakup in high-speed flow is a relatively popular experimental study to analyze breakup mechanisms. There is a plethora of experiments performed at low Mach number and low Weber number, but studies with higher speed flows and higher Weber numbers are less common. In this study, water droplet breakup is assessed using high-speed shock waves (Mach 2.3-above Mach 5) in a shock tube. Multiple methods are used to introduce droplets, and multiple different water purity levels are considered. An assessment was made into whether cavitation played a role in the breakup process physically, as this has been a budding …
Synthesis And Evaluation Of Chalcones As Treatment For Negative Sense Single Stranded Rna Viruses And Applications As Broad-Spectrum Antivirals, Lorael Kirton
Graduate Thesis and Dissertation post-2024
Chalcones are a class of compounds naturally found in plants and are predicated upon a 1,3-diphenylprop-2-en-1-one scaffold. Chalcones possess many biological activities ranging from anticancer to antiviral activities. This thesis investigates the broad-spectrum antiviral properties of chalcones. Some chalcones have been reported to affect host cell mechanisms such as mammalian target of rapamycin (mTOR) signaling cascade or the cell cycle to reduce viral replication. Previously, a series of chalcones 8 were synthesized and investigated in human cytomegalovirus virus (HCMV) and human immunodeficiency virus (HIV). In this study, ten new chalcones predicated upon the design of 8 were synthesized and a …
Fgf19 Facilitates Metastatic Phenotypes In Colorectal Cancer, Joseph W. Nolff
Fgf19 Facilitates Metastatic Phenotypes In Colorectal Cancer, Joseph W. Nolff
Graduate Thesis and Dissertation post-2024
Colorectal cancer (CRC) is the second leading cause of cancer-related deaths in the United States. With 154,000 new cases estimated in 2025, there is an increased need for early screening to detect CRC prior to metastasis. Our laboratory has focused on enteroendocrine hormone Fibroblast Growth Factor-19 (FGF19) as it is overexpressed in a subset of CRC tumors. FGF19 is an intestinal-derived hormone involved with lipid homeostasis when bound to its receptor, Fibroblast Growth Factor Receptor-4 (FGFR4). Our objective focuses on FGF19 contribution towards an epithelial-to-mesenchymal transition (EMT) and overall metastatic properties including rapid proliferation and/or increased cell motility. Immunofluorescence was …
Comparative Analysis Of Estimation Techniques On Human Performance In Seek-And-Place Tasking, Adam J. Wehr
Comparative Analysis Of Estimation Techniques On Human Performance In Seek-And-Place Tasking, Adam J. Wehr
Graduate Thesis and Dissertation post-2024
Accurate parameter estimation is fundamental to statistical modeling, shaping the validity of inference, prediction, and decision-making. Although Maximum Likelihood Estimation (MLE) and Bayesian methods are well established theoretically, their performance relative to alternative estimators in small-sample, skewed-data contexts remains less clear. This thesis addresses this gap through a systematic evaluation of estimation techniques applied to human response time data from a controlled seek-and-place jigsaw puzzle task, where distributions are characteristically right-skewed.
A performance-modified lognormal model was developed to capture the relationship between task complexity and response times. Four estimation approaches were investigated: MLE, Method of Moments (MoM), Bayesian estimation under …
Least Squares Support Vector Data Description With Adaptive Optimizers, Daniel Markwei
Least Squares Support Vector Data Description With Adaptive Optimizers, Daniel Markwei
Graduate Thesis and Dissertation post-2024
One-class classification has emerged as a powerful technique for data description, enabling a model to learn exclusively from data belonging to a single (target) class. By focusing solely on patterns within this class, this classification procedure is implemented in order to successfully assess whether incoming input deviates or is part of the target group. This approach develops a sophisticated understanding of the defining characteristics of the target data in relation to other groups. Consequently, any data point that deviates from the target group is flagged as an anomaly because it diverges from the learned distribution. One way to explore the …
Fast Differentiable Projection Layers Onto High-Dimensional Polytopes For Large-Scale Predictive Modeling, Camilo Gomez
Fast Differentiable Projection Layers Onto High-Dimensional Polytopes For Large-Scale Predictive Modeling, Camilo Gomez
Graduate Thesis and Dissertation post-2024
Recent trends in statistical machine learning have revealed the power of integrating optimization procedures as first-class components within end-to-end large-scale predictive systems. These structured computations—often formulated as projections onto geometric objects like polytopes—enable models to inject domain-specific inductive biases and enforce desirable properties in the learned representations useful in downstream classification or regression tasks. This dissertation explores the role of such projections in enhancing learning performance and generalization, particularly in the context of predictive modeling with data intensive systems.
Motivated by the limitations of traditional surrogate loss functions such as logistic loss for classification or cross-entropy for multiclass problems, this …
Domain-Constrained Clustering: A Two-Stage Framework For Muscle Fiber Type Identification, Fanchao Yi
Domain-Constrained Clustering: A Two-Stage Framework For Muscle Fiber Type Identification, Fanchao Yi
Graduate Thesis and Dissertation post-2024
This dissertation introduces a novel Two-Stage Clustering Framework for the automated identification of human skeletal muscle fiber types using fluorescence microscopy image intensity data. By integrating two complementary clustering methods, this framework overcomes the subjectivity and labor-intensive nature of traditional manual methods, offering an objective and efficient solution for large-scale muscle physiology research. The initial framework combined Density Peaks Clustering (DPC) with a Gaussian Mixture Model employing a t-distribution (GMM-t). This version was validated by comparing its clustering results with manual counts at the individual subject level. We successfully applied this framework in two published studies \cite{brennan2020,hinkley2023}, demonstrating its practical …
A Unified Thermodynamic Framework For Regime Discovery, Entropy-Aware Optimization, And Emergent Leadership In Flocking Systems, Victor Nkwocha
A Unified Thermodynamic Framework For Regime Discovery, Entropy-Aware Optimization, And Emergent Leadership In Flocking Systems, Victor Nkwocha
Graduate Thesis and Dissertation post-2024
This thesis presents a unified framework for modeling, optimizing, and analyzing collective behavior in flocking systems through a thermodynamic and statistical lens. In the first study, we employ entropy-regularized Gaussian Mixture Models (GMM) to identify distinct thermodynamic regimes—ordered, transitional, and disordered—based on the energy and entropy profiles of simulated agent-based flocks. The second study introduces the Organic Adaptive Flocking Algorithm (OAFA), a biologically inspired, entropy-aware extension of the Boids model. OAFA dynamically adjusts rule weights based on local entropy signals and is optimized via a multi-objective NSGAII framework to balance cohesion, separation, energy efficiency, and disorder. Results show that entropy …
Sparse Low-Rank Tensor Logistic Regression With Applications In Neuroimaging, Michael Hurtado
Sparse Low-Rank Tensor Logistic Regression With Applications In Neuroimaging, Michael Hurtado
Graduate Thesis and Dissertation post-2024
Discriminant analysis techniques, while extensively studied for traditional datasets, have rarely been adapted to address the complexities of high-dimensional tensor data. Recent advances in tensor decomposition, as reviewed by Burch et al. (2025), highlight methods such as CP, Tucker, HOSVD, and t-SVD, which offer robust frameworks for handling multi-dimensional biomedical data, including neuroimaging. In this paper, we propose a novel approach that integrates low-rank regularization techniques with tensor structures to tackle high-dimensional matrix and tensor data. Building on the Multi-Projection Optimal Scoring Discriminant Analysis (ROSDA) method by Huang & Zhang (2020), which employs multi-directional projection pursuit for robust classification, our …