Digital Commons Network^™

Childhood Trauma, Stress, Gender, And Depression's Impact On Suicidal Behavior, Emily H. Mezni

Honors Undergraduate Theses

Suicide is one of the leading causes of death in young adults. Continuous prevention and intervention efforts throughout the world have been made to reduce suicide risk in this population. Two of the biggest known risk factors for suicide is childhood trauma, a traumatic event or events that occur during youth, and depression. Researching the impact childhood trauma and depression make in conjunction with other factors will help to increase knowledge of suicidal behavior. In this study, recent stress and gender will be factored with childhood trauma and depression severity to predict suicidal ideation and attempt. Recent stress is useful …

Studying Implicit Racial Bias In Breast Cancer Screening, Diagnosis, And Treatment: A Scoping Review, Lillian C. Nguyen

Honors Undergraduate Theses

Breast cancer remains a significant public health concern worldwide, with persisting disparities in several aspects of breast cancer care. Implicit bias has emerged as a potential contributor to these disparities. While previous research has examined implicit bias in healthcare, particularly in the context of racial and ethnic disparities, no review has been conducted to examine the association of physician implicit bias and breast cancer care. There remains a need for further investigation into its role in breast cancer care. This scoping review aims to systematically analyze the existing literature on physician implicit bias in breast cancer care to discern its …

Investigating The Role Of Glycemic Control In Cognitive Impairement Risk Among Elderly Individuals With Type 2 Diabetes: A Scoping Review, Julia Pessaia

Honors Undergraduate Theses

Type 2 diabetes mellitus (T2DM), presents a significant health burden globally, affecting millions of individuals, especially in the elderly population. While its association with cardiovascular diseases and cognitive impairments is well-documented, further research on the precise influence of glucose control on cognitive outcomes in elderly T2DM patients is necessary. This scoping review aims to address this gap by investigating the impact of HbA1c levels representing glycemic control on the risk of developing cognitive impairments in elderly patients with T2DM. A literature search was conducted on MEDLINE and eligible studies involved T2DM patients aged 60 or older, with documented cognitive function …

Sweetening The Deal: Enhancing Flower Production And Quality For Native Pollinators In Urban Landscapes, Yaelle Esther Reeve

Honors Undergraduate Theses

Urban landscapes can support pollinator conservation, but traditional landscape designs lack the diverse mixtures of native plants needed to support native pollinators. Although native plants support pollinators and can survive with less water and fertilizer than non-native landscape plants, they do not always grow well under modified urban soil conditions and irrigation regimes. A better understanding of the factors influencing flower production and the quality of native plants is needed if we are to design landscapes that support pollinator conservation. This study focused on how flower production and quality in different native plants responded to compost and irrigation treatments. The …

Tim/Tam Receptors: A Potential Biomarker For Predicting Sensitivity To Zika Virus-Induced Oncolysis In Non-Small Cell Lung Cancers, Shankari Somasekar

Honors Undergraduate Theses

Non-small cell lung cancers (NSCLC) constitute 80-85% of lung cancers and are the leading cause of cancer-related deaths globally. The most common cause is prolonged smoking. Current treatment options for NSCLC include surgery, radiation, chemotherapy, targeted drug therapy, and immunotherapy. Although these medications are effective in the short term, patients often face issues of drug resistance and debilitating side effects with prolonged use. Currently, the use of Zika virus (ZIKV) is being researched as a possible alternative treatment for cancer, which minimizes side effects and the risk of drug resistance. TIM/TAM proteins are identified as the putative ZIKV receptors on …

A Holistic Approach To Animal Farming: Integrating Bioregionalism And Socialist Ecofeminism Within The Context Of Concentrated Animal Feeding Operations, Sarah R. Spears

Honors Undergraduate Theses

This paper addresses the harmful effects of concentrated animal feeding operations (CAFOs) within animal farming systems, including poor animal welfare, environmental damage, and environmental injustice. I argue that bioregionalism and socialist ecofeminism can help inform a holistic approach to mitigating these harms and evoke ethical and sustainable animal farming systems. Bioregionalism emphasizes local resource use, community engagement, and ecological knowledge within a specific region, while socialist ecofeminism critiques oppressive systems and seeks to uplift the viewpoints of all beings, including animals, nature, and humans of various identities. Through a scaffolded hypothetical case study informed by the CAFOs-practicing hog farms in …

The Promise Of Graphic Medicine In Provider Training To Promote Mental Health, Prevent The Empathy Decline, And Improve Learning, Maeher Sukhija

Honors Undergraduate Theses

As medical students progress through their training, they experience a decline in empathy, mental health struggles, and difficulties in learning. The prevalence of depression, anxiety and burnout among medical students, along with the decline of empathy in medical students can impact their professionalism and quality of patient care as future physicians. This literature review shows how the integration of graphic medicine in provider training can address these problems, giving a new perspective on what medical education should look like. Thirty-three articles were found and reviewed by searching through the databases Academic Search Premier, PubMed, and Google Scholar, along with the …

Mapping Accessibility To Emergency Care Using Public Transportation, Bach Tran

Honors Undergraduate Theses

Intro: Public transit offers various advantages for both communities and individuals in terms of mobility and has the potential to serve as a practical alternative to private motorized transportation. Timely and convenient public transit becomes a lifeline for people who cannot access other types of transportation, especially when it comes to emergency care. Method: We built a private network analysis within ArcGIS Pro using coordinate data from hospitals and stand-alone emergency rooms as designated by the North American Industrial Classification System (NAICS) and public transit data from Orlando, FL. Establishing the accessible time as 30 minutes, we computed and visualized …

The Effects Of Exercise On The Immune System Of Older Adults, Brianna Tran

Honors Undergraduate Theses

The purpose of this study was to examine the effects of exercise on the immune system of older adults. Physical exercise has been known to affect one’s health positively. However, specific statistics relating to types of exercise intervention and older adults are dispersed. Autoimmune diseases are a lifelong disease that results in an overactive immune system, causing it to attack healthy cells. Which then leads to symptoms such as fatigue, pain, swelling, and digestive issues. This thesis includes systemic literature reviews that directly discuss the benefits of moderate-intensity exercise regarding the immune system of the elderly population. Results from this …

The Influence Of Intersectionality On Identity And Resilience, Stephanie Washburn

Honors Undergraduate Theses

Co-occurring multiple minority group membership (e.g., ethnic/racial minority and sexual/gender minority) has come to be referred as intersectionality. The purpose of this study was to explore if intersectionality is related to identity and resilience in undergraduate adults. The participant pool consisted of college students from a large metropolitan university in the Southeastern United States, (N = 340), who took an anonymous online self-report survey battery in exchange for course credit. Higher levels of resilience were associated with lower levels of identity distress. Further, identity commitment, but not identity exploration, predicted resiliency. Sexual/Gender Minority (SGM) individuals had lower resiliency than …

Preserving Paradise: A Case Study Of Public Attitudes And Its Impact On The Conservation Of The Indian River Lagoon Watershed, Zanielle Wells

Honors Undergraduate Theses

The Indian River Lagoon (IRL) is an important estuary along Florida’s east coast. It is known for its ongoing water quality issues attributed to human activity in the watershed, which has resulted in extensive restoration and conservation efforts. This study researches the relationship between public perception and sentiment toward sustainable development initiatives and how they influence conservation and restoration in the Indian River Lagoon watershed. Twelve semi-structured interviews were conducted with IRL experts who work in the government, academia, nonprofit, or nongovernmental sectors to discuss public sentiment and engagement practices within the watershed. The responses were analyzed using a causal …

Music Recommendation Using Exemplars And Contrastive Learning, Tina Tran

Honors Undergraduate Theses

The popularity of AI audio applications is growing, it is used in chatbots, automated voice translation, virtual assistants, and text-to-speech translation. Audio classification is crucial in today’s world with a growing need to sort and classify millions of existing audio data with increasing amounts of new data uploaded over time. In the area of classification lies the difficult and lucrative problem of music recommendation. Research in music recommendation has trended over time towards collaborative-based approaches utilizing large amounts of user data. These approaches tend to deal with the cold-start problem of insufficient data and are costly to train. We look …

Multicolor Bipartite Ramsey Number Of Double Stars, Gregory M. Decamillis

Honors Undergraduate Theses

The core idea of Ramsey theory is that complete disorder is impossible. Given a large structure, no matter how complex it is, we can always find a smaller substructure that has some sort of order. For positive integers $n, m$, the double star $S(n,m)$ is the graph consisting of the disjoint union of two stars $K_{1,n}$ and $K_{1,m}$ together with an edge joining their centers. The $k$-color bipartite Ramsey number of $ S(n,m)$, denoted by $r_{bip}(S(n,m);k)$, is the smallest integer $N$ such that, in any $k$-coloring of the edges of the complete bipartite graph $K_{N,N}$, there is a monochromatic copy …

Religious Trauma And Identity, Kylie N. Angiel

Honors Undergraduate Theses

Religious trauma is most often the result of prolonged emotional and mental trauma, rather than a one-time occurring physical experience, which can thereby lead to complex post-traumatic stress disorder (C-PTSD). This prolonged form of trauma can have negative impacts on one’s psychological well-being and possibly one’s sense of identity. The purpose of this study was to gain a deeper understanding of how religious trauma may be related to identity development. College students (N = 223) completed an anonymous online survey battery for course credit. Scores on a measure of religious and spiritual struggles was positively correlated with identity distress and …

Historical Legacies & Contemporary Anti-Americanism In Latin America, Ana Bello Marín

Honors Undergraduate Theses

Latin America is often cited as a prime example of historically rooted and deeply embedded opposition to the United States. There exists a prevalent assumption in the literature that suggests a legacy of foreign intervention can breed anti-Americanism. From this theoretical point of departure, we would expect individuals who lived through periods of intervention to express more negative opinions of the U.S. This thesis aims to explore whether historical legacies continue to live on and impact individual-level evaluations of the United States. By exploiting cross-country variation in the years and types of intervention, this study tests the empirical significance of …

Health-Outcomes Related To Smartphone Use In The College Student Population: A Scoping Review, Gregory Deglomine

Honors Undergraduate Theses

Objective: A scoping review was employed to consolidate what is currently being studied and reported on concerning interactions with smartphone devices and correlated negative health-outcomes, specifically within the college student population. We are specifically concerned with this population due to the unique demands of technology use coupled with free time use of smartphone devices. Information such as study focus, study design, and summarized results are be provided within this compilation of available data. Results: The existing data findings are heavily skewed in favor of a positive correlation between smartphone use and negative health-outcomes. Sampling 17,069 total participants across 41 studies, …

L3dml: Facilitating Geo-Distributed Machine Learning In Network Layer, Xindi Hou, Shuai Gao, Ningchun Liu, Fangtao Yao, Bo Lei, Hongke Zhang, Sajal K. Das

Computer Science Faculty Research & Creative Works

Geo-Distributed Machine Learning (GDML) aims to train large-scale machine learning models across geographically dispersed datacenters. However, the performance of GDML systems is constrained by the limited Wide Area Network (WAN) bandwidth and the presence of the straggler problem. Existing GDML designs often show contradictory effects in addressing these challenges, while in-network computing attempts are typically restricted to single datacenter environments rather than the more complex GDML scenarios. To overcome these limitations, this paper proposes L3DML to facilitate GDML using the P4-based Software-defined Network (SDN). Our approach incorporates three key innovations. Firstly, we introduce a novel network addressing scheme that enables …

Message From The Phd Dissertation Showcase Chairs, Panos K. Chrysanthis, Sanjay Madria

Computer Science Faculty Research & Creative Works

No abstract provided.

Smart Connected Farms And Networked Farmers To Improve Crop Production, Sustainability And Profitability, Asheesh K. Singh, Behzad J. Balabaygloo, Barituka Bekee, Samuel W. Blair, Suzanne Fey, Fateme Fotouhi, Ashish Gupta, Amit Jha, Jorge C. Martinez-Palomares, Kevin Menke, Aaron Prestholt, Vishesh K. Tanwar, Xu Tao, Anusha Vangala, Matthew E. Carroll, Sajal K. Das, Guilherme Depaula

Computer Science Faculty Research & Creative Works

To meet the grand challenges of agricultural production including climate change impacts on crop production, a tight integration of social science, technology and agriculture experts including farmers are needed. Rapid advances in information and communication technology, precision agriculture and data analytics, are creating a perfect opportunity for the creation of smart connected farms (SCFs) and networked farmers. a network and coordinated farmer network provide unique advantages to farmers to enhance farm production and profitability, while tackling adverse climate events. the aim of this article is to provide a comprehensive overview of the state of the art in SCF including the …

Protecting Activity Sensing Data Privacy Using Hierarchical Information Dissociation, Guangjing Wang, Hanqing Guo, Yuanda Wang, Bocheng Chen, Ce Zhou, Qiben Yan

Computer Science Faculty Research & Creative Works

Smartphones and wearable devices have been integrated into our daily lives, offering personalized services. However, many apps become overprivileged as their collected sensing data contains unnecessary sensitive information. For example, mobile sensing data could reveal private attributes (e.g., gender and age) and unintended sensitive features (e.g., hand gestures when entering passwords). To prevent sensitive information leakage, existing methods must obtain private labels and users need to specify privacy policies. However, they only achieve limited control over information disclosure. In this work, we present Hippo to dissociate hierarchical information including private metadata and multi-grained activity information from the sensing data. Hippo …

Interlude: Interactions Between Labeled And Unlabeled Data To Enhance Semi-Supervised Learning, Zhe Huang, Xiaowei Yu, Dajiang Zhu, Michael C. Hughes

Computer Science Faculty Research & Creative Works

Semi-supervised learning (SSL) seeks to enhance task performance by training on both labeled and unlabeled data. Mainstream SSL image classification methods mostly optimize a loss that additively combines a supervised classification objective with a regularization term derived solely from unlabeled data. This formulation often neglects the potential for interaction between labeled and unlabeled images. In this paper, we introduce InterLUDE, a new approach to enhance SSL made of two parts that each benefit from labeled-unlabeled interaction. The first part, embedding fusion, interpolates between labeled and unlabeled embeddings to improve representation learning. The second part is a new loss, grounded in …

Core-Periphery Multi-Modality Feature Alignment For Zero-Shot Medical Image Analysis, Xiaowei Yu, Lu Zhang, Zihao Wu, Dajiang Zhu

Computer Science Faculty Research & Creative Works

Multi-modality learning, exemplified by the language-image pair pre-trained CLIP model, has demonstrated remarkable performance in enhancing zero-shot capabilities and has gained significant attention recently. However, simply applying language-image pre-trained CLIP to medical image analysis encounters substantial domain shifts, resulting in severe performance degradation due to inherent disparities between natural (non-medical) and medical image characteristics. To address this challenge and uphold or even enhance CLIP's zero-shot capability in medical image analysis, we develop a novel approach, Core-Periphery feature alignment for CLIP (CP-CLIP), to model medical images and corresponding clinical text jointly. To achieve this, we design an auxiliary neural network whose …

Enhancing Group-Wise Consistency In 3-Hinge Gyrus Matching Via Anatomical Embedding And Structural Connectivity Optimization, Chao Cao, Xiaowei Yu, Lu Zhang, Tong Chen, Yanjun Lyu, Tianming Liu, Dajiang Zhu

Computer Science Faculty Research & Creative Works

Recently, a novel cortical folding pattern known as the 3-hinge gyrus (3HG) has been identified. 3HGs are defined as the convergence of the gyri coming from three distinct directions on gyral crests. In contrast to cortical regions, 3HGs are defined at a finer scale and they widely exist across different individuals, representing both commonalities and individualities of cortical folding patterns. It is important to note that 3HGs are identified in individual spaces, lacking natural cross-subject correspondences. To address this issue, we have developed a learning-based method to encode anatomical features of 3HGs into a set of embedding vectors that can …

The Perils Of Wi-Fi Spoofing Attack Via Geolocation Api And Its Defense, Xiao Han, Junjie Xiong, Wenbo Shen, Mingkui Wei, Shangqing Zhao, Zhuo Lu, Yao Liu

Computer Science Faculty Research & Creative Works

Location spoofing attack deceiving a Wi-Fi positioning system has been studied for over a decade. However, it has been challenging to construct a practical spoofing attack in urban areas with dense coverage of legitimate Wi-Fi APs. This paper identifies the vulnerability of the Google Geolocation API, which returns the location of a mobile device based on the information of the Wi-Fi access points that the device can detect. We show that this vulnerability can be exploited by the attacker to reveal the black-box localization algorithms adopted by the Google Wi-Fi positioning system and easily launch the location spoofing attack in …

Fair Cross Section And Tribal Jury Composition: Vawa 2022 Tribal Criminal Jurisdiction Series, Paula Hannaford-Agor, Steve Aycock

Faculty Publications

The Violence Against Women Reauthorization Act of 2013 (VAWA 2013) amended the Indian Civil Rights Act (ICRA) to ensure that non-Indian criminal defendants in Tribal courts have the right to a trial by an impartial jury that is drawn from sources that 1) “reflect a fair cross section of the community” and 2) “do not systematically exclude any distinctive group in the community, including non-Indians.” This requirement applies when a non-Indian who is criminally prosecuted in Tribal court faces possible imprisonment.

The implementation of these jury provisions has been a topic of discussion among the Inter-Tribal Working Group on Special …

Reimagining The Inclusive Jury, Anna Offit

Faculty Publications

At the height of the COVID-19 pandemic, everyday life for many Americans was upended. And yet, the jury trial remained viable — even vital. Faced with an era-defining public health disaster, courts innovated, embracing novel technologies and techniques to reimagine where and how justice might be made. But why did it take a pandemic to spur this kind of institutional creativity? Prior to the outbreak of COVID-19, people who were otherwise eligible to participate as jurors were routinely — and uncontroversially — struck or exempted from service due to limited mobility, vision and hearing loss, and caregiving responsibilities. Recent experience …

Catalog 2024-2025, University Of North Florida

UNF Course Catalogs

No abstract provided.

Into The Activism: An Exploration Of Gen Z'S Political Participation, Nia J. Davis

Honors Undergraduate Theses

Gen Z is a considerably politically active generation. However, Gen Z differs from previous generations in their methodology, campaigning for change through both in person and digital activism. While both forms of activism are effective in their own way, digital poses a unique challenge. When people can be activists from the comfort of their phone, they become “slacktivists”. People whose activism does not contribute to any significant action outside of the internet (Serup Christensen).

Through interviews and focus groups, my documentary explores how Gen Z participates in activism, and what that means for the future of activism. After these discussions, …

Soci+: An Enhanced Toolkit For Secure Outsourced Computation On Integers, Bowen Zhao, Weiquan Deng, Xiaoguo Li, Ximeng Liu, Qingqi Pei, Robert H. Deng

Research Collection School Of Computing and Information Systems

Secure outsourced computation is critical for cloud computing to safeguard data confidentiality and ensure data usability. Recently, secure outsourced computation schemes following a twin-server architecture based on partially homomorphic cryptosystems have received increasing attention. The Secure Outsourced Computation on Integers (SOCI) [1] toolkit is the state-of-the-art among these schemes which can perform secure computation on integers without requiring the costly bootstrapping operation as in fully homomorphic encryption; however, SOCI suffers from relatively large computation and communication overhead. In this paper, we propose SOCI+ which significantly improves the performance of SOCI. Specifically, SOCI+ employs a novel (2,2)-threshold Paillier cryptosystem with fast …

A Unified Framework For Contextual And Factoid Question Generation, Chenhe Dong, Ying Shen, Shiyang Lin, Zhenzhou Lin, Yang Deng

Research Collection School Of Computing and Information Systems

Question generation (QG) aims to automatically generate fluent and relevant questions, where the two most mainstream directions are generating questions from unstructured contextual texts (CQG), such as news articles, and generating questions from structured factoid texts (FQG), such as knowledge graphs or tables. Existing methods for these two tasks mainly face challenges of limited internal structural information as well as scarce background information, while these two tasks can benefit each other for alleviating these issues. For example, when meeting the entity mention “United Kingdom” in CQG, it can be inferred that it is a country in European continent based on …