Digital Commons Network^™

Classiffication Of Mild Cognitive Impairment Based On Dynamic Functional Connectivity Using Spatio-Temporal Transformer, Jing Zhang, Yanjun Lyu, Xiaowei Yu, Lu Zhang, Chao Cao, Tong Chen, Minheng Chen, Yan Zhuang, Tianming Liu, Dajiang Zhu

Computer Science Faculty Research & Creative Works

Dynamic functional connectivity (dFC) using resting-state functional magnetic resonance imaging (rs-fMRI) is an advanced technique for capturing the dynamic changes of neural activities and can be very useful in the studies of brain diseases such as Alzheimer's disease (AD). Yet, existing studies have not fully leveraged the sequential information embedded within dFC that can potentially provide valuable information when identifying brain conditions. In this paper, we propose a novel framework that jointly learns the embedding of both spatial and temporal information within dFC based on the transformer architecture. Specifically, we first construct dFC networks from rs-fMRI data through a sliding …

Exploring The Trade-Offs: Unified Large Language Models Vs Local Fine-Tuned Models For Highly-Specific Radiology Nli Task, Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Zhengliang Liu, Lin Zhao, Yiwei Li, Haixing Dai, Chong Ma, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu

Computer Science Faculty Research & Creative Works

Recently, ChatGPT and GPT-4 have emerged and gained immense global attention due to their unparalleled performance in language processing. Despite demonstrating impressive capability in various open-domain tasks, their adequacy in highly specific fields like radiology remains untested. Radiology presents unique linguistic phenomena distinct from open-domain data due to its specificity and complexity. Assessing the performance of large language models (LLMs) in such specific domains is crucial not only for a thorough evaluation of their overall performance but also for providing valuable insights into future model design directions: whether model design should be generic or domain specific. To this end, in …

Reindsplit: Reinforced Dynamic Split Learning For Pest Recognition In Precision Agriculture, Vishesh Kumar Tanwar, Soumik Sarkar, Asheesh K. Singh, Sajal K. Das

Computer Science Faculty Research & Creative Works

To empower precision agriculture through distributed machine learning (DML), split learning (SL) has emerged as a promising paradigm, partitioning deep neural networks (DNNs) between edge devices and servers to reduce computational burdens and preserve data privacy. However, conventional SL frameworks' one-split-fits-all strategy is a critical limitation in agricultural ecosystems where edge insect monitoring devices exhibit vast heterogeneity in computational power, energy constraints, and connectivity. This leads to straggler bottlenecks, inefficient resource utilization, and compromised model performance. Bridging this gap, we introduce ReinDSplit, a novel reinforcement learning (RL)-driven framework that dynamically tailors DNN split points for each device, optimizing efficiency without …

Fuzzy-Based Deep Reinforcement Learning For Suicidal Ideation Detection In Online Social Networks, Greeshma Lingam, Sajal K. Das

Computer Science Faculty Research & Creative Works

Suicidal ideation is a major psychological problem, and preventing this social risk is recognized as an important research topic. In reality, there can be several reasons why a person experiences suicidal ideation. Each individual can express views, emotions, and several types of symptoms related to suicidal ideation on the most popular social media platforms. In online social networks (OSNs), identification of suicidal ideation is one of the major challenging tasks. Existing studies have shown that the delay in understanding and identifying various risk factors can cause the suicidal event to occur. Due to the scarcity of data and understanding, the …

When Federated Learning Meets Quantum Computing: Survey And Research Opportunities, Aakar Mathur, Ashish Gupta, Sajal K. Das

Computer Science Faculty Research & Creative Works

Quantum Federated Learning (QFL) is an emerging field that harnesses advances in Quantum Computing (QC) to improve the scalability and efficiency of decentralized Federated Learning (FL) models. This paper provides a systematic and comprehensive survey of the emerging problems and solutions when FL meets QC, from research protocol to a novel taxonomy, particularly focusing on both quantum and federated limitations, such as their architectures, Noisy Intermediate Scale Quantum (NISQ) devices, and privacy preservation, so on. With the introduction of two novel metrics, qubit utilization efficiency and quantum model training strategy, we present a thorough analysis of the current status of …

Circa: A Framework For Collaborative Identification Of Root Cause Analysis In Iot Microservices, Xingguo Jiang, Hong Luo, Yan Sun, Sajal K. Das

Computer Science Faculty Research & Creative Works

With continuous growth of IoT applications, service failures are quite inevitable. Due to the complexity and dynamics of IoT services, the root cause analysis (RCA) following an alert can assist in quickly resolving the possible faults. However, the time scales of metrics (e.g., CPU utilization, memory usage) generated by microservices and the dynamic topologies generated by calls between the Application Program Interfaces (APIs) are different. Moreover, the status of devices is an important aspect of RCA in IoT. All these make it extremely challenging to learn failure features of microservice metrics and API calls. Therefore, we propose a novel framework …

Mgco: Mobility-Aware Generative Computation Offloading In Edge-Cloud Systems., Aswini Ghosh, Nelson Sharma, Shivendu Mishra, Rajiv Misra, Sajal K. Das

Computer Science Faculty Research & Creative Works

Mobility introduces significant challenges for optimal computation offloading, latency minimization, and efficient re source utilization in multi-access edge computing (MEC) systems. A key difficulty lies in leveraging real user trajectories to jointly optimize horizontal (inter-edge) and vertical (edge-to-cloud) task offloading decisions. This paper proposes a two-dimensional offloading scheme for a multi-layer edge–cloud architecture that enables collaborative task execution among resource-constrained edge nodes under mobility conditions. We present MGCO (Mobility-Aware Generative Computation Offloading), a generative AI–driven Transformer-based sequence-to-sequence Deep Q-Network (s2s-DQN) framework that learns from real-time trajectory data to anticipate user movement and optimize task placement dynamically. The Transformer architecture is …

Real-Time Testbed For Studying Cyberattacks And Defense In Der-Integrated Smart Inverter Systems, M. Maliha, A. Oluyomi, M. Booge, S. Bhattacharjee, N. Braasch, P. Gomez, Sajal K. Das

Computer Science Faculty Research & Creative Works

In this paper, we propose a Hardware-in-the-Loop (HIL) simulation testbed suitable for the implementation and testing of realistic cyberattacks on grid-tied smart inverter systems integrated with Distributed Energy Resources (DER) that use the Distributed Network Protocol-3 (DNP3) protocol for communications between grid components. Specifically, our testbed combines a Real-Time Digital Simulator (RTDS) NovaCor device, outfitted with GNETx2 network interface cards, a grid-tied DER topology implemented via the RTDS software package RSCAD, and a custom virtual network that emulates a man-in-the-middle (MITM) attacker. The MITM attacker captures DNP3 traffic and falsifies telemetry data in DNP3 packets to trigger unwarranted commands from …

Grace-Fl: Green Resource-Aware Communication-Efficient Federated Learning, Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino, Sajal K. Das

Computer Science Faculty Research & Creative Works

Federated Learning (FL) enables collaborative model training across distributed clients while preserving data privacy, but its deployment on resource-constrained devices is hindered by high communication overhead, inefficient energy usage, and poor convergence under non-IID data distributions. To address these challenges, we propose GRACE-FL: a Green Resource-Aware Communication-Efficient Federated Learning framework that explicitly incorporates device energy capacity into training. Each client adapts its learning rate, number of local epochs, and gradient quantization bit-width based on its available energy, allowing high-capacity devices to sustain more intensive training while low-capacity devices operate with lighter configurations. A novel energy-weighted aggregation strategy ensures that clients …

Catalog 2025-2026, University Of North Florida

UNF Course Catalogs

No abstract provided.

Remedios Varo: Peregrinaciones, Julia Condes

Honors Undergraduate Theses

At the time of her death, the artist Remedios Varo (1908–1963) left behind over 500 works of art, the majority of which were created in her adopted country of Mexico. Known for her meticulously crafted fantastical paintings, Varo underwent exile and displacement due to first the Spanish Civil War, and later World War II, which led her to relocate to Mexico, where she would create prolifically for the remainder of her life. This paper will examine the effect of those experiences on the artist and the work she produced, attesting to Varo’s ability to translate complex emotions regarding the human …

An Examination Of Preservice Teacher Knowledge Of Attention Deficit Hyperactivity Disorder (Adhd) In The Elementary Classroom, Breana K. E. Webb

Honors Undergraduate Theses

This study examines the knowledge of preservice teachers with attention deficit hyperactivity disorder (ADHD) and how well prepared they might be when supporting students in elementary classrooms. ADHD is a diagnosed neurodevelopmental disorder in children and has been increasingly diagnosed over the past several years. Teachers play a crucial role in providing effective instruction to each and every student in the classroom. Managing classroom instruction with diverse learning capabilities and behaviors requires teachers to understand the characteristics of ADHD, as well as instructional adaptations and behavioral interventions, among preservice teachers. Findings indicate that while most preservice teachers recognize the basic …

Investigating The Role Of Prostasin In Angiogenesis: A Chorioallantoic Membrane Model Approach, Zaima Aline

Honors Undergraduate Theses

Prostasin, also known as PRSS8 or CAP1, is a glycosylphosphatidylinositol (GPI)-anchored extracellular serine protease involved in various physiological and pathophysiological processes. Prostasin expression is observed during key phases of trophoblast invasion and placental development, critical steps in embryo implantation in Rhesus monkeys. This suggests a role for prostasin in extracellular matrix remodeling and tissue invasion, both essential for a healthy pregnancy. Moreover, prostasin appears vital for development as studies in mice show that a germline knockout of the gene leads to significant placental defects and eventual embryonic death, highlighting its importance in vascular and structural development within the placenta.

Building …

Examining The Effect Of A High Fat Diet On The Expression Of Adipokines In A Murine Model Of Barrett's Esophagus, Saagar A. Shah

Honors Undergraduate Theses

Chronic acid reflux results in injury to the esophagus and the development of Barrett’s Esophagus (BE). BE elevates the lifetime risk for a patient to develop Esophageal Adenocarcinoma (EAC). Clinically, one of the main risk factors for BE and EAC is obesity, which alters the secretion of inflammatory cytokines by adipocytes, also referred to as adipokines. Conflicting reports have been made to the expression of adipokines and their receptors in the progression to esophageal cancer. Utilizing an inflammation-based mouse model for BE, we hypothesize that alterations in the expression of adipokines and their receptors favor an inflammatory environment associated with …

The Impact Of Socioeconomic Status On Substance Use Amongst The Hispanic Maternal Population, Emily C. Olivo

Honors Undergraduate Theses

Aim: To explore and synthesize existing research that focuses on the relationship between socioeconomic status and the use of substances amongst the maternal Hispanic population. By examining research and these factors, interventions can be identified to lower reported substance use rates amongst Hispanic mothers of childbearing ages.

Background: Minorities such as Hispanic women deal with a myriad of struggles, especially during motherhood. Socioeconomic status and substance use can contribute to a large part of the struggles faced by this population. Hispanic and Latina will be used interchangeably throughout this review of literature.

Method: A comprehensive electronic review of 3 databases …

The Association Between Implicit Bias From Healthcare Providers And Postpartum Depression Among Black Women., Chelsea T. Costa

Honors Undergraduate Theses

Postpartum depression is one of the most common issues that women face after birth. Many different factors can contribute to the development of postpartum depression, including perinatal complications, prenatal depression, or social factors. One of the social factors that Black women, specifically, face leading to postpartum depression is discrimination. The purpose of this literature review is to identify research that focuses on whether implicit bias and discrimination by healthcare providers contributes to postpartum depression among Black women. A literature review was conducted using databases including CINHAL Plus Text, CINHAL ULTIMATE, Medline, and APA Psycinfo, with terms that included “healthcare provider* …

Exploring Patient-Provider Communication In Indian American Populations: A Scoping Review, Pranav S. Nadella

Honors Undergraduate Theses

Effective provider-patient communication directly influences patient satisfaction, treatment adherence, and health outcomes, yet the unique experiences of Indian Americans—one of the fastest-growing U.S. populations—remain underexplored in communication research. This scoping review, following Joanna Briggs Institute guidelines, systematically mapped the existing literature on provider-patient communication involving Indian Americans. Eleven studies met inclusion criteria, with data extracted on methods, populations, and seven coded aspects related to communication.

Findings revealed a narrow focus on first-generation immigrants and women, leaving men’s experiences and second-generation voices largely unexamined. Communication was shaped by language discordance, cultural stigma, family involvement, trust dynamics, and health literacy. No studies …

Organization And Activation Of Caffeine Expectancies, Catherine S. Forsyth

Honors Undergraduate Theses

Caffeine is the most consumed and widely used psychoactive substance in the world. Whether someone uses caffeine or not, expectations about use can be influential to some degree. Expectancies exist everywhere and are extremely influential in all aspects of life. Regarding drug use, expectancies can affect behavior, outcomes, and one’s experience with the drug. Caffeine is no exception, caffeine expectancies have been seen to play a role in several actions such as the development, maintenance, and reinforcement of caffeine use. This study examined latent use profiles of caffeine and relationships between the profiles and the activation of caffeine expectancies. Multidimensional …

Spirituality In Place: Assessment Of Spirituality, Place Attachment, And Locus Of Control In College, Chloe Armand

Honors Undergraduate Theses

The intent of this thesis is to explore how spirituality in place shapes college students’ cognition. While spiritual development is recognized as an important aspect of student affairs, its influence on cognitive factors such as locus of control and place attachment remains underexplored. This study investigates the relationship between spirituality, place attachment, and locus of control, as well as students’ perceptions of spiritual design elements on UCF’s campus. To assess these perceptions, a Quality of Place Questionnaire for Spirituality was developed. This instrument aims to measure humanity, sensuality, and sustainability in the built environment. This research uncovers the connections between …

Addressing Barriers In The Primary Prevention Of Hypertension In Black People, Makalah Pierre Rn Bsn

Honors Undergraduate Theses

Hypertension is a significant health concern among minority groups, and the black population is most at risk (Abrahamowicz et al., 2023). The black population experience higher prevalence rates of hypertension compared to other racial groups and are more likely to experience hypertension-related problems, including cardiovascular disease (CVD) and chronic kidney disease (CKD).  This literature review explores various nursing interventions aimed at preventing hypertension within this population. In this review, the term “black people or persons” is a broad term used to describe both African Americans and people of Afro-Caribbean decent. This includes various backgrounds such as Haitian, Jamaican, or otherwise …

Factors Associated With Fatalism Among Hispanic And Latina Breast Cancer Survivors, Liara Lopez Torralba

Honors Undergraduate Theses

As fatalism, a person’s attitude towards their life, increases, there is a significant level of medical mistrust and avoidance, which can delay cancer diagnoses and affect the prognosis of the disease. Literature has shown that many factors, including age, race, acculturation, locus of control, education, and fear can influence fatalism. However, little research has been conducted on whether fatalism differs independently by Hispanic origin and its associated factors among Hispanic breast cancer survivors. This study used data from the Hispanic Breast Cancer Study at the University of Central Florida. The original study recruited 408 women aged ≥ 20 years, diagnosed …

Investigating The Effect Of Artificial Sweeteners On Fitness And Metastasis In Drosophila Melanogaster, Om R. Patel

Honors Undergraduate Theses

Artificial sweeteners are widely used sugar substitutes, yet their potential effects on health remain poorly understood. For example, more evidence suggests that frequent consumers of sugar substitutes may also be at increased risk of excessive weight gain, metabolic syndrome, and type 2 diabetes, which contradicts the original purpose of artificial sweeteners. This thesis investigates the impact of artificial sweeteners on health using Drosophila melanogaster as a model organism, focusing on three key areas: viability, excretion, and cancer metastasis. Viability assays revealed that flies exposed to artificial sweeteners exhibited a decrease in progeny, with some concentrations increasing progeny but most decreasing …

Post-Translational Modification Of The Low-Density Lipoprotein Receptor By Serine Proteases, Matthew E. Ruiz

Honors Undergraduate Theses

Hypercholesterolemia is a disease affecting many Americans and adults worldwide and can lead to further complications such as atherosclerosis, stroke, or pulmonary embolisms making it a major risk factor for heart disease. The disease states are caused by chronically elevated levels of VLDLs that get broken down into LDLs. Cells expressing the LDLR can endocytose LDLs from the blood for use intracellularly as cholesterol and prevent plasma cholesterol deposition in the endothelium. Current treatments include leading healthier lifestyles through dieting and exercise, or pharmacological treatments targeting cellular cholesterol production or dietary cholesterol uptake from the GI tract. The SREBPs are …

Physical Activity And Hypertension Outcomes Around Menopause In Adult Women—A Secondary Analysis Of The All Of Us Research Program, Meriam F. Naguib

Honors Undergraduate Theses

Hypertension significantly impacts menopausal women due to a decrease in estrogen levels. That is due to estrogen level changes, causing many metabolic alterations, one of which is increased vascular resistance, leading to hypertension. Advanced treatments are made available to help alleviate the condition; however, lifestyle modifications—especially physical activity—show a critical role in hypertension control. This thesis explored the effect of physical activity as a non-pharmacological, lifestyle intervention on hypertension in women by menopausal status (pre-, peri-, and post-menopausal). This study used a secondary analysis with a retrospective design. Physical activity was defined using the American Heart Association's (AHA) guidelines (i.e., …

Threading The Needle: Chinese American Adoptees And The In-Between, Annalee Johnson

Honors Undergraduate Theses

Threading the Needle is a short documentary that investigates the relationships between Chinese American adoptees, their families, and their heritage. The film features two primary participants, Mia Nails and Annalee “AJ” Johnson as they reflect on their Asian American identity, experiences with racism, and their struggles with cultural estrangement. The similarities and differences in their perspectives shed light on both the wonderful and the heartbreaking circumstances of adoption. The contemporary value of the film lies in how it challenges popular representations of the Asian American experience: Though in recent years, Asian American media has become more present in popular culture, …

Assessing The Relationship Between Perceived Psychological And Physical Pain In Adults With Orthopedic Pain, Daniel C. Karimi Dehkordi

Honors Undergraduate Theses

Suicide remains a public health concern in the U.S., particularly among individuals experiencing chronic pain and psychological distress. This cross-sectional study investigated the relationship between perceived physical and psychological pain in 41 adults with chronic orthopedic conditions. The relationship between other risk and protective factors and perceived levels of pain distress was also examined. Results showed a significant positive correlation between psychological distress and physical pain (r(39) = 0.388, p < .05) and psychological distress and depressive/anxiety symptoms (r (39) = 0.477, p < .01). Psychological distress was moderately associated with feelings of hopelessness (r (39) = 0.403, p < .01), however, the relationship between physical pain and hopelessness was weak and nonsignificant (r (39) = -0.06, p = .71). Contrary to expectations, emotional support did not buffer the effects of psychological distress (r (39) = 0.07, p = 0.66). Mediational analysis confirmed that emotional support did not influence the relationship between physical pain and psychological distress (Beta (β) = -0.969, p = 0.572; Sobel Z = 0.5598, p = 0.575). Age was not correlated with psychological distress (r (39) = -0.24, p = 0.13) or mental health symptoms (r (39) = -0.05, p = .77). While there was no significant difference across sex, males reported higher mental health symptomatology and psychological distress scores than female counterparts. These findings underscore the direct impact of physical pain on psychological distress and challenge assumptions about the protective role of social support. The study highlights the need for integrated, multidisciplinary interventions targeting both physical and psychological pain to mitigate suicide risk among individuals with chronic orthopedic conditions. Future research should iii explore alternative support mechanisms and resilience-building strategies to address the complex interplay of pain, distress, and suicidality.

A Systematic Review Of Dietary Trends, Influencing Factors, And Their Impacts On Cardiovascular Health In Turkish Populations, Pelin L. Özoğlu

Honors Undergraduate Theses

Cardiovascular disease (CVD) is the leading cause of death globally, including in Türkiye. One key factor influencing CVD prevention is dietary patterns, which directly impacts cardiovascular health. Türkiye traditionally follows the Mediterranean diet (MedDiet), which is acclaimed for its cardiovascular benefits. Despite this, Türkiye continues to experience high rates of CVD, with projections indicating that CVD mortality will double for both men and women by 2030. It is crucial to address diet-related factors, including potential nutritional deficiencies, to reduce cardiovascular health risks.

This research aims to analyze the Turkish community's adherence to the Mediterranean diet to understand why CVD prevalence …

The Effects Of School-Based Menstruation Education Programs On Anxiety And Self-Efficacy In Adolescent Girls: A Systematic Review, Hannah C. Hart

Honors Undergraduate Theses

A significant global knowledge gap exists for adolescent girls regarding what constitutes a healthy menstrual cycle, proper menstrual hygiene practices, and the implications of reproductive maturity that is ushered in by menarche. This limited understanding can lead to poor health outcomes and the development of negative sentiments and beliefs surrounding the normal experience of menstruation.

This systematic review aims to comprehensively investigate the current state of research regarding the effects of school-based, formal menstruation education programs on adolescent girls, particularly the effects on anxiety and self-efficacy related to the management of menstruation. Furthermore, this work aims to take a stance …

A Tail Of Two Fishes: Exploring Population Structure In Two Species Of Fishes Across The Galápagos Islands, Hillary Quach

Honors Undergraduate Theses

The Galápagos Islands, a UNESCO World Heritage Site and a biodiversity hotspot with high levels of endemism, is home to over 440 species of fishes. Marine conditions across the Archipelago are greatly influenced by ocean currents in the region. The Pacific Equatorial Undercurrent, South Equatorial Current, and the Humboldt Current deliver waters rich in nutrients across the three major regions within the Galápagos (central, north, and west). These conditions create a dynamic environment close to the equator, enabling diverse species to thrive in distinct parts of the Galápagos. Despite the rich biodiversity in the region and diverse oceanographic conditions, there …

Genomic Epidemiology Of Staphylococcus Aureus Sequence-Type 72, Sachitaa Senthilkumar

Honors Undergraduate Theses

Staphylococcus aureus (S. aureus, SA) is a gram-positive bacterial colonizer and pathogen commonly carried on the skin and in the anterior nares of humans. SA colonization may lead to a variety of non-invasive (e.g., skin and soft tissue infections, SSTIs) and invasive (e.g., bacteremia and osteomyelitis) infections. The SA population is comprised of multiple lineages that can be delineated through multi-locus sequence typing (MLST), which compares nucleotide sequences within seven housekeeping genes. Strains belonging to an MLST share a common evolutionary history and phenotypic characteristics like antibiotic resistance or virulence. As a result, the epidemiology of lineages can be …