Digital Commons Network^™

Neural Network Accelerated Retrieval Of Clear Brown Dwarf Atmospheres, Peter T. Braunschweig

Graduate Thesis and Dissertation post-2024

In the era of the James Webb Space Telescope, there is a pressing need for atmospheric retrievals to be fast, accurate, and physically motivated. The computational cost of self-consistent atmosphere models has thus far made them unfeasible for use in retrieval. Machine learning techniques have greatly accelerated computational tasks in a variety of fields, and have been applied to retrieval before. However, previous application to brown dwarfs has focused on inferring parameters from spectra tailored to the resolution and wavelength range of a specific instrument.

We train a neural network on cloud-free model atmospheres computed self-consistently with PICASO, and use …

Optomechanical Interactions And Dynamics In Nanoparticle Systems, Sohila Abdelhafiz

Graduate Thesis and Dissertation post-2024

This dissertation investigates the coupling between optical forces and the dynamics of nanoparticle systems. Using theoretical models, simulations and experiments, we explore how light mediates interactions between nanoparticles leading to optical binding, nonreciprocal forces, and collective behavior in colloidal suspensions.

We first examine the dynamics and interactions of particles under illumination due to complex electromagnetic forces. Of particular interest are interparticle forces between particles with specific optical properties such as those satisfying the Kerker scattering conditions. We demonstrate the wavelength-dependent dynamics of such Kerker dimers and establish conditions required for their stable longitudinal binding. We also describe a one-way non-reciprocal …

The Nested Dirichlet Process And Applications To Nonparametric Bayesian Inference, Evan C. Donald

Graduate Thesis and Dissertation post-2024

This body of research focuses on Bayesian nonparametric inference, in regards to an array of S-valued random variables. These random variables are assumed to take values in a complete and separable metric space and further have a particular symmetry property, row exchangeability.

The Nested Dirichlet Process is a particularly apt model for inference in such circumstances. However, calculating posterior distributions in this framework is exceedingly difficult, and become exponentially more complicated as sample size increases.

This research explores the method of using sequential imputation to calculate posterior distributions, providing a rigorous proof of the method’s suitability that had been missing …

Numerical Solutions For Deterministic And Stochastic Partial Differential Equations And Effective Integral Evaluation, Guanqian Wang

Graduate Thesis and Dissertation post-2024

This thesis explores advancements in numerical methods, focusing on their applications to some classes of PDEs, Stochastic PDEs (SPDEs), and integral evaluations. The first part of this proposal provides algorithms for computing the mean curvature flow, including cases with topological changes. We propose energy-penalized and multilevel minimization algorithms. Benchmark problems with random initial conditions reveal that small changes in interaction length led to different solution patterns under topological changes. Our methods demonstrate robustness and efficiency, even with poor initial guesses, making them suitable for a wide range of scenarios.

The second part of this proposal introduces a new approach for …

How To Join Teams: Individual Factors That Influence An Incoming Team Member’S Understanding Of The Team’S Shared Mental Models, Madeline Filippi

Graduate Thesis and Dissertation post-2024

This study examined the effect of various individual differences on accuracy of incoming team members’ learning the team’s task and team shared mental models by leveraging literature on shared mental models and team member replacement. The four individual differences (openness to experience, perspective taking, social curiosity and trait negative affect) were hypothesized to positively impact the incoming team member’s ability to understand the team’s shared mental models through the theoretical mechanism of cue identification. Participants were asked to imagine they were entering a student organization executive team and based on characteristics (responsibilities, preferences, attitudes) of the team members in the …

The Benefit Of Benefits: The Role Of Fringe Job Benefits On The Recruitment Of Deskless Workers, Hannah A. Crandell

Graduate Thesis and Dissertation post-2024

Research indicates that the advertisement of fringe job benefits are related to positive job seeker perceptions of the organization and job pursuit intentions. Drawing from Conservation of Resources Theory, I investigate how different types of fringe benefits related to people’s motivations to obtain, enhance, or retain resources differentially attract them to an organization. The study also examines the role of financial well-being as a moderator of fringe benefits and anticipated organizational support. Further, I assess the relationship between fringe benefits and job pursuit intentions through the serial mechanisms of anticipated organizational support and organizational attractiveness. Findings suggest that fringe benefits …

Motion Extrapolation And Motion Dynamics: Are The Motion Dynamics Of Friction Utilized During Motion Extrapolation To Inform Time-To-Contact Estimations?, Genna Telschow

Graduate Thesis and Dissertation post-2024

Cognitive processing delays should cause us to respond too late when making time-to-contact estimations. According to the theory of constructivism, the brain accounts for these delays by supplementing sensory information with higher level cognitive information to create an accurate motion percept. Across the attention, memory, and motion extrapolation literatures there is evidence supporting the use of higher-level information, like motion dynamics, to supplement our visual input. Specifically, previous research suggests we may account for friction’s constraints on motion when interacting with dynamic stimuli. The current research utilizes features that represent friction as both a stopping agent and a motion catalyst …

Older Adult Centered Robot Assessment: Usability, Social Presence, And Acceptance. Building Towards A Better Robot., Jordan Sasser

Graduate Thesis and Dissertation post-2024

This dissertation investigated factors influencing older adults' perceptions of Misty, a voice-enabled social robot designed for caregiving interactions. Three sequential studies explored how voice characteristics (pitch and speech rate), robot persona (personable vs. robotic), and task guidance (Misty guiding through timed up and go and four stage balance task) influenced usability, social presence, acceptance, and perceptions of medical assistant competence. Study 1 employed thematic and quantitative usability analyses, identifying that lower-pitched, moderately paced voices optimized user satisfaction, while repetitive activation phrases ("Hey Misty") significantly reduced usability. Study 2 examined how persona framing (personable vs. robotic) influenced perceptions of social presence …

The Impact Of Virtual Backgrounds In Video-Mediated Selection And The Role Of Candidate Qualifications, Mira Gruber

Graduate Thesis and Dissertation post-2024

Videoconferencing allows users to manage their self-presentation through virtual backgrounds that mask their immediate physical environment. Prior research suggests that backgrounds depicting professional home spaces (e.g., bookshelves) elicit more favorable impressions than those that depict personal home spaces (e.g., bedrooms). Expectancy Violations Theory (EVT) provides a framework for understanding such effects. The present dissertation applied EVT to video-mediated selection interviews, that have become increasingly popular since the COVID-19 pandemic. Given the strict expectations for professionalism in interviews, virtual backgrounds that deviate from such expectations may negatively impact hiring decisions. Consequently, this work examined the impact of two virtual background types, …

The Relationship Between Adverse Childhood Experiences And Child Maltreatment Potential With Racial And Ethnic Considerations, Madison V. Verdone

Graduate Thesis and Dissertation post-2024

Referrals to Child Protective Services in the United States rise each year at a rate that is disproportionate to population growth (U.S. Department of Health and Human Services, 2022). The content of such reports includes instances of abuse, neglect, and/or suspicion of other types of violence against children. As such, it is clear that children are increasingly exposed to adverse experiences that impact their development. Understanding factors that may contribute to children’s exposure to adverse experiences may assist in breaking the cycle of intergenerational transmission. Thus, this study examined the relationships among parents’ adverse childhood experiences (ACEs), emotion dysregulation, and …

Parents’ Adverse Childhood Experiences And Young Children’S Behavior Problems: Examining Protective Moderating And Mediating Factors, Kaitlyn M. Daleandro

Graduate Thesis and Dissertation post-2024

Adverse childhood experiences (ACEs) are childhood exposures to abuse, neglect, and household dysfunction. ACEs have been linked to a cumulative negative impact on later adult physical and psychological well-being. Parents who carry ACEs often have difficulties in parenting, which have, in turn, been linked to young children’s internalizing and externalizing behavior problems. Nonetheless, some parents who carry ACEs develop positive parenting strategies. Very little is known about how such outcomes occur. A growing area of research concerns protective and compensatory experiences (PACEs) that buffer against the negative consequences of ACEs. PACEs may improve deficits in cognitive, emotional, and neurobiological systems …

Burnout In The Workplace- Organizational Influences On Counselor Burnout, Serene Hasan

Graduate Thesis and Dissertation post-2024

This study is a two-part manuscript dissertation that examined the impact of the six organizational influencers of burnout: Workload, Control, Reward, Community, Fairness, and Values on mental health counselors’ (MHCs) burnout, using Maslach’s three subscales of burnout: Emotional Exhaustion, Depersonalization, and Personal Accomplishment. Additionally, Work Setting and Age were assessed for their influence on MHC burnout, when the six organizational influencers were accounted for. The focus on this topic is crucial as burnout has a detrimental effect on counselors, clients, and organizations. The growing population in need of support surpasses the amount of MHCs that our nation has to offer. …

Quality Of Service Robots And Organizational Citizenship Behaviors: The Mediating Roles Of State Empathy And Perceived Organizational Support/Obstruction, Adam D. Jacobs

Graduate Thesis and Dissertation post-2024

Research on service robots is currently more conceptual than it is empirical. This thesis leverages resource allocation and social exchange theories to explain how employees choose to expend their resources depending on the functioning of the service robot. I propose that service robot quality (defined here as an employee’s perception of the usefulness and ease of use of a service robot) is an important consideration for organizations that adopt service robots, and hypothesize that employee state empathy and support (or obstruction) from their organization links service robot quality to employee organizational citizenship behaviors. The study consisted of 166 participants from …

An Involuntary Motive Of Voluntary Behavior: An Investigation Of The Causes And The Consequences Of Citizenship Pressure, Junyoung Hong

Graduate Thesis and Dissertation post-2024

This dissertation investigates citizenship pressure, defined as an individual’s perception of pressure to perform organizational citizenship behavior (OCB), by examining its conceptual boundaries, antecedents, behavioral outcomes, and underlying mechanisms. Study 1 used an item-sorting task with undergraduate participants to assess whether citizenship pressure is empirically distinct from related constructs such as OCB norms and workaholism. Substantial conceptual overlap prompted refinement of the construct and its measurement. Study 2 surveyed employees to examine how supervisor and coworker OCB demands, along with personality traits (conscientiousness and agreeableness), predict citizenship pressure at the between-person level. Although personality traits showed no direct effects, they …

Impacts Of Susceptibility To Peer Influence And Fomo On Viewing Alcohol-Related Content On Social Media, Alcohol Expectancies, And Alcohol Use, Callie L. Wang

Graduate Thesis and Dissertation post-2024

PURPOSE: Young adult (YA) alcohol use remains a significant public health problem, and may be influenced by alcohol expectancies developed through exposure to peers’ alcohol related content (ARC) on social media. This study examined the associations among ARC exposure, alcohol expectancies and alcohol use among YAs, and how susceptibility to peer influence and Fear of Missing Out (FoMO) may influence these relations. METHOD: YAs in the United States who endorsed consuming 1-2 standard drinks per month (N=371) completed surveys measuring ARC exposure, alcohol expectancies, susceptibility to peer influence, FoMO, and alcohol use at baseline and at 4- and 8-week follow …

Firefighter Syndrome: Improving The Identification And Classification Of Firefighters In Need, Michael A. Schlenk

Graduate Thesis and Dissertation post-2024

Firefighters (FFs) exhibit a multitude of behavioral and physical health concerns as well as fluctuating social support due to their occupation. Despite the fire service enacting preventative approaches to health and wellness, FFs still report increased prevalences of health concerns at the end of their career. Firefighter syndrome was created to identify FFs in need of medical care (e.g., behavioral and physical health services, Frueh et al., 2022b). The purpose of this study is to validate the construct of FF Syndrome by using statistical classification techniques to investigate whether there is a latent group of firefighters that have the symptoms …

Exploring Fake News Detection: Unpacking Polarization, Ambiguity, And Associated Neural Mechanisms, Shayna R. Soares

Graduate Thesis and Dissertation post-2024

A pertinent next step in investigating fake news, is exploring the inherent ambiguity of news headlines through the lens of uncertain decision-making theories. Few studies have done so while investigating the established neural correlates associated with uncertainty in the prefrontal cortex (PFC). A set of three studies was conducted examining the underlying neural mechanisms associated with ambiguity of news headlines, individuals’ polarization, and their decision behavior. Study 1 validated news headlines in terms of ambiguity (1-7 scale). Experiment 1 investigated choice behavior in an uncertain decision task with ambiguous news headlines, while recording activation in the prefrontal cortex using fNIRS. …

Assessing The Accuracy Of Emotion Classification Of Whisper V3: Comparing Performance On Speech Emotion Datasets For Both English And Arabic, Oumaima Khalfi

Graduate Thesis and Dissertation post-2024

This thesis investigates the application of Whisper V3 which is a state-of-the-art, multilingual automatic speech recognition model to Arabic Speech Emotion Recognition (SER). Building on the foundational work of Muhammad Firdho, who adapted Whisper architectures for emotion classification tasks, this study extends his approach to the context of Arabic, a language characterized by rich dialectal diversity, complex morphology, and unique prosodic features.Although Whisper V3 was primarily designed for Automatic Speech Recognition (ASR), its latent representations appear to capture paralinguistic cues that can be leveraged for emotion classification. Muhammad Firdho laid the basis for this study by showing the ability of …

Robust Evaluation Framework On Adversarial Purification, Yuan Du

Graduate Thesis and Dissertation post-2024

This dissertation proposes novel Energy-Based Model (EBM) learning strategies and adversarial robustness evaluation framework that addresses critical gaps in iterative purification defenses. First, we introduce strategies to learn EBMs by controlling MCMC sampling trajectory lengths for distinct applications: (i) short-run sampling for state-of-the-art unconditional image generation on CIFAR-10 and ImageNet; (ii) mid-run sampling for classifier-agnostic adversarial purification; and (iii) long-run sampling for principled density modeling. Using three novel MCMC initialization techniques within standard Maximum Likelihood objectives, we enable significant performance gains without architectural modifications. Second, we address evaluation deficiencies in existing iterative stochastic defenses by developing the \textit{Memory Efficient Full-gradient …

Nursing Simulation For Pediatric Communication: An Integrative Literature Review, Jayla R. Call

Honors Undergraduate Theses

The aim of this thesis is to explore literature focused on enhancing nursing students' communication skills with pediatric patients through simulation. Effective communication is key to building rapport and trust, which are essential for improving patient outcomes. However, nursing students may experience anxiety when interacting with pediatric patients due to limited training in communication techniques. Simulation offers a valuable opportunity for students to practice and refine their skills in a risk-free environment, allowing them to build confidence and competence. An integrative literature review was conducted, utilizing three databases and PRISMA guidelines (Page et al., 2021) to gather relevant studies for …

Intelligent Tutoring Systems In The Age Of Llm-Based Agentic Frameworks - Adapting Small On-Device Language Models For Fact-Checking And Student Compliance Detection, Evan Vahid Naderi

Honors Undergraduate Theses

As large language models (LLMs) demonstrate increasingly sophisticated language understanding capabilities, they offer transformative potential for educational technology, particularly in developing more responsive intelligent tutoring systems (ITS). To develop these systems, a synthesis that balances theoretical frameworks with practical, cutting-edge, and deployable technology would be useful. This thesis aims to advance the field of ITSs theoretically by viewing the modern advancements in natural language processing within the context of the foundational frameworks important to the fields of self-regulated learning, ITSs, and cognitive agents. Then, building on prior research on the ITS MetaTutor \citep{Azevedo2022}, this research focuses on how functions of …

The Stigmatization Of Autism – Why It’S Still Present And How It Affects Women And Individuals Assigned Female At Birth (Afab), Emma Drauer

Honors Undergraduate Theses

The intent of this thesis is to explain some key factors (the theory of mind notion and the narrow perception of autism) that contribute to the stigmatization of autism and the impact this has on autistic women. Autistic women are heavily underrepresented, especially in the scholarly discourse, so this thesis collected first person accounts of autistic experiences through a survey and interviews. This data revealed important information such as the benefits of a diagnosis, how stigma can prevent this and have consequences, and the struggles autistic women face. Unmasking these struggles can help make the general public aware of their …

Generation Z’S Perception Of Skin Cancer And How It Relates To Climate Change, Piercen Bogolea

Honors Undergraduate Theses

Skin cancer is the most common cancer worldwide, and climate change has been identified as a significant contributor. Preventative action early on can help reduce occurrence, but it is unknown if Generation Z is aware of this and is taking the necessary action now to protect themselves. This research aims to gauge the perception of Generation Z on the severity of skin cancer, the relationship between climate change and skin cancer, and the prevalence of preventative measures being taken. A survey was distributed to students aged 18 to 27 enrolled at the University of Central Florida through mixed sampling. The …

Multi-Criteria Gis Suitability Analysis For Sustainable Agricultural Tourism Site Selection In Peru, Jessica J. Mccord

Honors Undergraduate Theses

Agricultural tourism offers a mechanism to strengthen rural economies while preserving traditional practices and unique cultural identities. In the Peruvian Andes, rural communities confront increasing challenges in the face of a changing climate and reliance on industrialized agriculture. Rural communities attempt to strike a delicate balance between economic development and heritage preservation. This research utilizes a Geographic Information System (GIS)- based analysis to identify areas best positioned for the development of agritourism initiatives. The suitability analysis integrates both local and global sustainability priorities by incorporating a set of defined criteria that together identify areas that are the most appropriate for …

Uv- Altered Macrophages: Impact Of Uv Radiation On Phagocytic Receptor Expression In M2 Macrophages And Implications For Tissue Repair And Immunosuppression, Hala Hafez

Honors Undergraduate Theses

Ultraviolet radiation is an environmental stressor known to suppress immune function in the skin, but its effect on the immunoregulatory M2 phenotype macrophages is poorly studied. This study aims to investigate the impact of UV exposure on key markers of the M2 macrophage, which are critical for tissue repair and immunosuppression. THP-1 monocytes were differentiated and polarized into the M2 phenotype using Phorbol-12 myristate (PMA) and Cytokines IL-4 and IL-10. Once differentiation was confirmed, the macrophages were exposed to varying durations of UV radiation. Real Time Quantitative PCR was used to analyze expression changes in phagocytic receptors (CD206, CD163, Arg-1), …

Rhythm Against Poethics, Jayvyn Dacas

Honors Undergraduate Theses

This thesis stages an auto-poetic ethnography that listens to, and moves with, the anterior spaces of Black life. Those murmurs, hums, musical hesitations, and infrastructural vibrations that refuse capture by dominant epistemic regimes. Drawing from Ramon Amaro’s reading of Sylvia Wynter, Katherine McKittrick and Alexander Weheliye’s reflections on sound, Fred Moten’s insights on displacement, and Tendayi Sithole’s attention to the phonographic, the project situates music production as method and unworlding. Through engagements with the 808, sampling, sound systems, and embodied listening across Florida. Spaces like the warehouse, the party, record stores, and community become the work of Black voices, and …

Exploring Electroweak Baryogenesis Within Real Scalar Models: Theoretical Foundations And Collider Phenomenology, Corine M. Smith

Honors Undergraduate Theses

The matter–antimatter asymmetry and the hierarchy problem related to the Higgs boson mass remain key open questions in high energy physics. Electroweak Baryogenesis offers a solution to the asymmetry by modifying the Higgs sector to allow a strongly first-order phase transition. This work investigates two real singlet scalar extensions of the Standard Model, incorporating novel quartic and triple couplings between the new scalar fields, providing a testable framework for vacuum-induced scalar mixing effects and enhanced multi-Higgs boson production. These interactions modify the scalar self-coupling and can induce resonant enhancements in multi-Higgs boson production processes. The theoretical constraints are derived from …

Math Escape Room: A Virtual/Blended Problem‑Solving Adventure, Youssef Ibrahim

Teaching Online Pedagogical Repository

A narrative‑driven digital escape room turns secondary‑level mathematics review into a collaborative quest: students unlock successive “rooms” by solving algebraic, geometric, and data‑analysis challenges in Google Forms and Genially. Timers, conditional branching, and embedded hints sustain flow, while instructor analytics reveal misconceptions in real time.

Empowering Multilingual Families By Reconceptualizing Family Engagement, Melissa J. Cuba, Carolyn Waters, Luciana C. De Oliveira

Journal of English Learner Education

One of the most pressing issues in U.S. public schools is the engagement of multilingual families with children who are multilingual learners. So much so, federal policies, such as the Parent and Family Engagement Provisions in the Every Student Succeeds Act, prioritize and financially support activities and professional development focused on family engagement. In addition, these policies provide opportunities for families to contribute to agreed-upon school district policy that can reshape family engagement. However, as we reflect on the current sociopolitical context in the U.S., how are school systems creating opportunities for multilingual families to contribute and inform local family …

Supporting English Language Learners Through Peer Support, Anny Pedraza Borbon

Journal of English Learner Education

English language learners make up a blossoming part of the student demographic in the United States. (National Center of Educational Statistics, 2024) English language learners are affected by a myriad of circumstances and challenges which can rock their sense of self-efficacy. Self- efficacy has been seen to correlate with success in language acquisition. Teachers can support the development of self- efficacy and language acquisition through the facilitation of peer relationships. Peer relationships have been shown to have positive effects on learners, as evidenced by the social cognitive theory and the sociocultural theory. Teachers should be careful to scaffold these interactions …