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A Machine Learning And Artificial Intelligence Sentiment Analysis Of Esg Disclosures, John Barnett Davis

Graduate Theses and Dissertations (2019 - present)

This dissertation examines whether environmental, social, and governance (ESG) disclosure sentiment extracted from SEC Form 10-K Item 1A risk disclosures aligns with Bloomberg ESG scores. The study combines SEC textual disclosures, Bloomberg ESG ratings, firm financial data, executive compensation data, and executive gender characteristics. Natural language processing and artificial intelligence methods, including FinBERT, Loughran-McDonald sentiment measures, BART-MNLI zero-shot classification, LLaMA-based ESG scoring, and readability analysis, are used to evaluate ESG-related disclosure signals. Results reveal that SEC 10-K Item 1A risk-factor sentiment and Bloomberg ESG scores represent related but distinct constructs. ESG sentiment in Item 1A is poorly aligned with third-party …

Alfred Russel Wallace Notes 42: How Accurate Are The Transcriptions Presented At The Alfred Russel Wallace Page Website?, Charles H. Smith

Faculty/Staff Personal Papers

A look is taken at the level of accuracy displayed by the transcriptions of Wallace writings offered at the Alfred Russel Wallace Page website, as determined by a ChatGPT analysis.

University Of Central Florida Undergraduate Catalog, 2025-2026, University Of Central Florida

UCF Catalogs

No abstract provided.

Computable Phenotypes For Research Using Real-World Data: Experiences From The Nih Pragmatic Trials Collaboratory, Marisa L Conte, Judith M Schlaeger, Guilherme Del Fiol, James R Campbell, Andrea L Cheville, Keith Marsolo, Kari A Stephens, Miriam O Ezenwa, Andrew D Boyd, Juanita E Darby, Nadine S Matthie, P Michael Ho, Alice Pressman, Morgan Justice, Carol Reynolds Geary, Keturah R Faurot, Alex Fist, Karen Staman, Hulin Wu, Rachel L Richesson

Faculty, Staff and Student Publications

Objectives: Embedded pragmatic clinical trials (ePCTs) are conducted as part of routine clinical care and therefore use data collected from real-world data sources, such as electronic health record systems and administrative claims. A common approach for using these types of data across all phases of trial conduct is to create a computable phenotype (an explicitly defined data query data, including specified data types, data codes, and logical parameters) to capture patients with a clinical condition, exposure, symptom, characteristic, treatment, or outcome of interest.

Materials and methods: The Electronic Health Record (EHR) Core Working Group of the NIH Pragmatic Trials Collaboratory …

Fuimos Olvidados Y Descuidados [Forgotten And Neglected]: Lessons Learned And Findings From On-Farm Covid-19 Education And Vaccine Clinics For Agricultural Workers And Their Multigenerational Families In Texas, Anabel Rodriguez, David I Douphrate, Ana L Pineda Reyes, Susana Zavala, Lus Chavez, Sofia Nicole Lopez, Andrea V Cabrera Cruz, Annie J Keeney, Nora Hernandez, Brenda Berumen-Flucker, Eva M Shipp, Matthew W Nonnenmann, Shannon P Guillot-Wright, Bethany Boggess Alcauter, G Lopez Ixta, Paula M Cuccaro, Higinio Fernandez-Sanchez, David Gimeno Ruiz De Porras

Faculty, Staff and Student Publications

Background: Despite being deemed essential non-healthcare workers, agricultural workers were excluded from COVID-19 vaccine prioritization in Texas. This professional practice report describes the multifaceted worker health and safety approaches to protecting agricultural workers and their families during the COVID-19 pandemic.

Methods: Between March 2020 and January 2025, several outreach, education, and training grants from various funding agencies were leveraged to deliver training, personal protective equipment, vaccines, and economic relief to agricultural workers in partnership with community-based organizations, industry, local public health departments, and academic institutions.

Findings: Timely funding efforts led to the distribution of 1,000 PPE kits, with more than …

Spatial Structure And Energy Content Of Wakes Behind Single And Arrayed Undulated Cylinders, Taiga Naomi Drucker-Boisvert, OndˇRej FerˇCák, Jérémie Auzoux, Sarah E. Smith, Zein Sadek, Rowan Moore, Christain T. Murphy, Trevor Dunt, Jennifer A. Franck, Raul Bayoan Cal

Mechanical and Materials Engineering Faculty Publications and Presentations

Biologically inspired undulated cylinder geometries significantly influence wake structure and vortex-induced vibrations in turbulent flows, yet the underlying mechanisms are not fully understood. It is further unknown how these influences extend to multi-cylinder arrays, where interacting wakes accumulate and mix. This study examines the wake characteristics of an undulated cylinder and a smooth elliptic cylinder in single- and multi-cylinder array configurations, using particle image velocimetry and proper orthogonal decomposition (POD). Relative to the smooth elliptic cylinder, the undulated geometry induces pronounced spanwise-axial variability, characterized by enhanced near-wake mean momentum and weak far-wake signatures, consistent with reduced turbulent kinetic energy. While …

Exploring Right Ventricular Function Applicability In A Prediction Model To Identify Preterm Infants With Early Bronchopulmonary Dysplasia (Report – Bpd Study): A Mixed Methods Observational Cohort Feasibility Study, Wisam Muhsen

School of Nursing and Midwifery Theses

Background: Bronchopulmonary Dysplasia (BPD) is one of the significant complications of prematurity with its incidence on the rise, yet there is no clinically available prediction model. Aim:To assess the feasibility of conducting a study measuring right ventricular (RV) function as a contributor to the development of an early BPD prediction model in preterm infants. Methods This PhD comprised a scoping review and a single-centre mixed-methods feasibility cohort study with three quantitative and qualitative work packages, conducted at University Hospitals Plymouth NHS Trust. The scoping review searched Medline, CINAHL, PubMed, EMBASE, Scopus, ProQuest, Web of Science, Cochrane Library, JBI Evidence-Based Practice, …

The Effects Of Education And Training On Clinical Staff’S Knowledge, Perception, And Clinical Practice Of The Medication Reconciliation Process, Stephanie A. Williams

Doctor of Nursing Practice Projects

Medication-related harm affects approximately one in 30 patients in healthcare settings. Accurate medication reconciliation (MedRec) is essential for identifying medication discrepancies, preventing medication errors, and reducing adverse drug events. Clinical staff play a critical role in ensuring the accuracy of medication lists in primary care settings.

This evidence-based quality improvement project evaluated the effect of a structured MedRec training intervention on MedRec knowledge, perceptions, and practices among clinical staff in a primary care clinic in Southeast Texas. The project used a single-group, quantitative, quasi-experimental design. A convenience sample of 32 clinical staff members completed knowledge and perception assessments before and …

Llm-Assisted Task-Adaptive Semantic Communication Over Non-Ideal Channels For Vision–Language Systems, Oluwagbenga Oluwapelumi Orimoogunje

All Theses

The growth of intelligent wireless systems and bandwidth-limited edge devices has created a need for communication methods that move beyond bit-level data transmission. Semantic communication addresses this by transmitting task-relevant meaning, which reduces bandwidth usage while preserving task performance. However, existing approaches often rely on frozen encoders without task feedback and are trained under fixed or ideal signal-to-noise ratio (SNR) conditions. These limitations lead to poor generalization in realistic noisy channels.

This thesis proposed a task-adaptive semantic communication framework for Visual Question Answering (VQA) over bandwidth-constrained Additive White Gaussian Noise (AWGN) channels. The system transmits a compact 16,384-dimensional semantic feature …

Effective Data Augmentation Strategies For Small Object Detection, Tarek Aziz

All Theses

Data augmentation remains the most effective method of improving object detection, particularly in scenes where small objects dominate, and the annotated datasets are small. While geometric augmentation techniques such as flipping, cropping, and photometric augmentations such as brightness, color jittering adjustments, and content-level augmentations such as mix-up and copy-paste augmentation have proved useful, current research suggests the viability of learned augmentation policies, instance-level generative augmentations, and diffusion-based augmentations. Here, we present a structured comparison of the augmentation methods on the YOLO11m detector, focusing particularly on the detection of small objects on the SODA-D dataset. We benchmarked the standard YOLO11m model …

A Comparison Of Survival, Growth, And Stress Resilience In Three Different Lineages Of The Pacific Oyster (Crassostrea Gigas) Farmed On The California Central Coast, Victoria F. Hanshaw

Master's Theses

Aquaculture of Pacific oysters on the US West Coast is routinely impacted by seasonal unexplained mortality events. To better understand these large-scale mortality events in oyster aquaculture, shellfish growers and scientists in California have partnered together to conduct comparative, multi-estuary farm trials of discrete Pacific oyster (Crassostrea gigas) lineages. In this thesis we investigate how the more recently imported Midori lineage performs compared to the historically used Miyagi lineage, as well as a Hybrid (Midori x Miyagi) lineage. As part of a 7-month long field study from April-November of 2024 in Morro Bay and Tomales Bay, California, we evaluated …

Prompt-Driven Tabletop Robotic Manipulation With A Structured Llm Interface And Visual Verification, Tomas Franco

Master's Theses

Creating a tabletop robotic manipulation system that connects language goals to robot actions is a challenging problem. Large language models can interpret mission objectives and reason through actions, but when placed directly in control of hardware they can produce hallucinated commands that result in unsafe behavior without the proper safeguards.

This thesis presents a constrained LLM-guided manipulation system built around the Quanser Qarm, a four degree of freedom manipulator with a mounted Realsense RGB-D camera and a gripper with readable current. Every decision made by the LLM planner is routed through a gated command interface that restricts the model to …

Sentinel: Evaluating Occlusion-Centered Next-Best-View Selection Using Rgb-Derived Pseudo-Geometry, Paul Nassar

Master's Theses

Three-dimensional cameras provide direct geometric measurements, but their cost, weight, power requirements, and calibration constraints can limit their use in various lightweight or large-scale sensing systems. A potential alternative is to use conventional two-dimensional RGB cameras together with geometric reconstruction models that infer a partial three-dimensional representation from images. This thesis evaluates that possibility for next-best-view (NBV) selection through Sentinel, an occlusion-centered system for static, object-centric scenes with known camera poses and intrinsics. Sentinel converts source RGB observations into pseudo-geometry using monocular depth or point-map predictions, combines those predictions with camera-ray evidence, identifies occluded unknown regions, and selects a candidate …

The Effect Of Specialty Malt On Dry-Hopping, Alexander Kivela

Master's Theses

Dry-Hopping is a modern and ever-increasing method to add hoppy flavors to beer. This is typically seen in pale ales and India Pale Ales (IPA’s). Most research has investigated the effect of dry-hopping only using pale malt, whereas most breweries used specialty malts to create a malty backbone to their beer.

The objectives of this research were to analyze the impact of specialty malts and their concentration on the efficacy of hop flavor and extraction, determined via gas chromatography and sensory analysis. Gas chromatography analysis was modeled after the ASBC Method Beer-48. Sensory analysis was performed via the 15cm line …

Hardware-In-The-Loop Evaluation Of Sensor-Source Selection For Prosthetic Locomotion Intent Recognition, Victoria Asencio-Clemens

Master's Theses

Active lower-limb prostheses use intent-recognition systems to identify a user’s locomotion mode and select an appropriate control strategy, but sensor configurations that perform well offline may be unsuitable for resource-constrained embedded hardware. Existing sensor-selection methods generally prioritize classification accuracy without directly accounting for processing latency, memory usage, or other hardware-dependent requirements. To address this limitation, this thesis develops a hardware-in-the-loop source-selection framework for embedded classification of level walking, ramp ascent, ramp descent, stair ascent, and stair descent using multimodal biomechanical data from transtibial amputee participants. Subject-specific linear support vector machine classifiers were evaluated using trial-held-out validation, and candidate configurations from …

Beyond Beliefs: Factors That Shape Agricultural Plastic End-Of-Life Management Among California Strawberry Growers, Kyle Y. Cahitas

Master's Theses

The practice of using plastics in agriculture is so prevalent it has earned its own name: plasticulture. One key plasticulture tool is polyethylene (PE) mulch film, a thin plastic sheet laid over the field for a single growing season and pulled out before the next. Because PE film is hard to recycle, most of it ends up in a landfill, yet how growers decide what happens to used plastic mulch has rarely been studied. To identify what shapes that decision, this study draws on a survey of California strawberry growers (n = 126). Twenty variables, spanning grower attitudes, farm characteristics, …

A Maintainable Extensible And Performant Compiler Toolchain For The Trustguard Architecture, Ethan N. Emery

Master's Theses

TrustGuard is a hardware architecture implementing a CAVO (Containment Architecture with Verified Output) model, which provides security guarantees by bootstrapping trust of a system to a hardware component known as the Sentry. Rather than verifying an entire system, TrustGuard re-executes trusted computation on the Sentry and validates the host system's execution before allowing values to pass to the outside world, thereby containing the effects of erroneous computation. Implementing this architecture in practice without hardware modifications to a host CPU requires a compiler toolchain capable of automatically generating instrumented binaries for both the untrusted host and the trusted Sentry from C …

Synthesis And Characterization Of Carbon Quantum Dots And Gold Nanoparticles For Norovirus Biosensing Applications In Water Systems, Breanne Evans

Master's Theses

Rapid, reliable detection of viral pathogens remains a significant challenge across water-treatment and environmental monitoring systems, including drinking-water, wastewater, water reuse, and environmental surveillance applications. Waterborne viral contamination can pose substantial public-health risks, making early detection essential for protecting water quality and responding quickly to treatment failures or contamination events. Direct potable reuse (DPR) is one particularly demanding example because it requires continuous verification of treatment performance and the broader need for rapid virus monitoring extends across many water-treatment and environmental surveillance applications. Norovirus is a priority target because of its widespread occurrence in wastewater, environmental persistence, and exceptionally low …

Comparative Assessment Of Developmental Fidelity In Hpsc-Derived Neural Crest Cells, Michael H. Zepeda

Electronic Theses, Projects, and Dissertations

Neural crest cells (NCCs) are a transient, multipotent cell population that contributes to craniofacial structures, peripheral neurons, melanocytes, and smooth muscle. Defects in NCC development underlie a broad range of congenital disorders known as neurocristopathies. Human pluripotent stem cell (hPSC)-derived NCCs provide an evaluable model for studying early human development; however, existing differentiation protocols produce variable outcomes, and no standardized method consistently generates high-fidelity NCC populations. To address this challenge, we compared five published hPSC-to-NCC differentiation protocols using the H9 human embryonic stem cell line. We hypothesized that specific protocols more faithfully recapitulate neural crest development through coordinated regulation of …

Genocide As Patriotic Duty: The Outcomes Of Ultranationalism And Dehumanization From World War Ii Genocide Orchestrators, Corie R. Blais

Electronic Theses, Projects, and Dissertations

The thesis provides a contribution to the field of history how nationalism

often transforms individuals during wartime to become dehumanizing

ultranationalists through patriotism and its connection to genocide.  Also, it gives

insight into the many ways that genocide orchestrators during World War II,

relied on propaganda of racism, religion, and “othering” in order to justify their

incentives to expand territories and dehumanize victims through medical

experimentations and sexual violence.  While research materials in the context of

Nazi Germany were ample, one challenge in my research was finding

documentations on Stalin’s People Commissariat of Internal Affairs (NKVD)

police unit which carried …

From Genes To Streams: Mitochondrial Approaches To Population Monitoring Of The Santa Ana Sucker Catostomus Santaanae, Mariana Antonio

Electronic Theses, Projects, and Dissertations

This study was developed to use aquatic environmental DNA (eDNA) as a tool to detect the presence of the Santa Ana sucker (Catostomus santaanae), a federally threatened fish species, across the Santa Ana River in Southern California. Environmental DNA is any genetic material that an organism sheds into the environment. We can get an idea of what aquatic species are present when sampling water at a given site. We sequenced the complete mitochondrial genome (mitogenome) of the Santa Ana sucker and designed custom DNA primers to improve eDNA detection accuracy. These primers were selected based on high genetic …

The Third Zone Of Incomplete Rights: Spatial Compartmentalization, Expendability, And The Making Of Death Worlds In Adichie's Dream Count, Ebelenna F. Nwaobi

Research Papers

Contemporary socio-political discourses on global migration often risk misrepresenting migrant experiences by framing them mainly through the language of humanitarianism, inclusion, and identity. While these frameworks foreground protection and belonging, they may inadvertently obscure the institutional and political structures that regulate, differentiate, and expose migrants to uneven forms of precarity. In this paper, therefore, I examine Chimamanda Ngozi Adichie's Dream Count to explore the migrant condition as one shaped by migrants’ everyday encounters with space, law, labor, and political belonging. By so doing, I argue that the novel reveals migrant vulnerability not just as the consequence of singular acts of …

Laplace Factor Models In High-Dimensional Data, Siqi Liu, Xuerong Meggie Wen, Akim Adekpedjou, Guangbao Guo

Mathematics and Statistics Faculty Research & Creative Works

Laplace factor models (LFMs) provide a heavy-tailed alternative to Gaussian factor models by representing high-dimensional observations through a low-rank common component and Laplace-distributed idiosyncratic errors. This paper develops an assumption-consistent finite-sample analysis of matrix concentration, covariance estimation, and Monte Carlo integration under this model. We first formulate the model with explicit dimensional, independence, covariance, and identifiability conditions. Standard matrix Laplace-transform and matrix Bernstein inequalities are then recalled with their precise applicability conditions. Because untruncated Laplace variables are neither almost surely bounded nor strongly log-concave, these standard results cannot be applied directly in the forms commonly used for bounded or Gaussian-like …

Testing P300-Based Biometric Authentication Paradigms, Jordan Razzak

Electronic Theses and Dissertations

Bench research suggests that P300 amplitude is greater in response to self-relevant stimuli compared to familiar stimuli. This effect could enable a novel method of biometric authentication based on the self-relevant P300. This dissertation aims to: (1) determine the optimal presentation paradigm for leveraging self-relevance in P300-based biometric authentication, and (2) investigate P300 responses from self-relevant stimuli versus stimuli learned over the course of a week.

Two presentation paradigms were compared – rapid serial visual presentation (RSVP) and matrix presentation (MP). Participant-specific RSVP and MP classifiers were trained by applying stepwise linear discriminant analysis to data collected during presentations of …

Unruly Curly Hair: The Role Of Latina Hair Stylists In Disrupting Beauty Hierarchies, Katie Duarte

Latin American and Latino/a Studies: Faculty Publications

Women of color use aesthetics to challenge and reproduce racialized, classed, or gendered marginalization, yet few sociological studies have examined women of color service workers as agents who negotiate, reproduce, and resist racialized beauty norms for their clients. This study utilizes a transnational ethnography of a beauty school course and Latina-owned curly and natural hair salons, primarily serving Latinas and Afro-Latinas, in New York City and Santo Domingo, Dominican Republic. Through its analysis, this article identifies different forms of gendered labor that stylists perform to introduce “specialized body labor,” thereby disrupting racialized beauty norms that devalue natural and Afro-textured hair. …

A Misplaced Pocket Of Air: Intramural Gastric Air Most Consistent With Gastric Emphysema, Priyanka Panwar, Lavender Otom, Subo Marsa, Gerald Odong, Steven Idet, Irene Muchiri, Hussein Abdulsamad, John Odhiambo, Christopher Opio, Amos Mwasamwaja, Saleem Abdulkarim

Internal Medicine, East Africa

Background Gastric emphysema (GE), or gastric pneumatosis, is a rare, noninfectious cause of intramural gastric air that must be distinguished from emphysematous gastritis (EG), a highly lethal infectious entity. Despite similar radiographic appearances, these conditions differ substantially in etiology, clinical course, management, and prognosis.

Cases We report three hemodynamically stable patients with CT-confirmed intramural gastric air most consistent with GE. Two had associated portal venous gas. The cases occurred in distinct clinical contexts: infectious gastroenteritis with retching, transient midgut volvulus with obstructive gastric overdistension, and alcohol-related upper gastrointestinal bleeding with forceful vomiting and a Mallory–Weiss tear. Although early EG could …

Bridging The Gap: A Qualitative Case Study Of Pre-K Teachers' Literacy Professional Development Needs In The Context Of Georgia's Early Literacy Act (Hb 538), Deborah Lissimore

Dissertations

Abstract

The purpose of this qualitative case study was to explore how school-based pre-K teachers in Georgia perceived their literacy professional development needs within the context of the Georgia Early Literacy Act, House Bill 538, and to examine the role of teacher leadership in supporting their professional learning. Although the Act established evidence-based literacy requirements and professional learning expectations for kindergarten through third grade educators, comparable supports for school-based pre-K teachers were not clearly defined. Participants included five certified pre-K teachers employed in a Georgia public school district. Data were collected through semi-structured interviews and researcher field notes, with member …

Perceptions Of Family Involvement And Its Influence On High School Attendance: Voices Of Families And Mathematics Teachers, Amber Phillips

Dissertations

Chronic absenteeism continues to be a growing concern in high schools, particularly in the years following the COVID-19 pandemic. Although family involvement has been widely studied in elementary and middle schools, less is known about how families and mathematics teachers experience school-based family involvement at the high school level. This qualitative case study explored those perspectives at a rural high school in Northwest Georgia. Individual semi-structured interviews were conducted with five families and five upper-level mathematics teachers, and a focus group was conducted with eight mathematics teachers. Interview and focus group transcripts were analyzed using structural and focused coding to …

Why They Stay: Career Development, Personal Growth, And The Retention Of Higher Education General Staff, Ursula Brady

All Dissertations

Higher education general staff (HEGS) are critical to the operational continuity and institutional success of U.S. colleges and universities, yet their retention remains a persistent challenge. While faculty development has received sustained attention, HEGS have historically lacked equivalent access to career advancement and personal growth opportunities. This study examined how perceived access to career development and personal growth opportunities was associated with job satisfaction and turnover intention among HEGS and tested whether job satisfaction mediated these relationships. Grounded in Self-Determination Theory and Herzberg's Two-Factor Theory, this study hypothesized that career development and personal growth would predict turnover intention both directly …

Shared Identity, Shared Trust: How Cultural Sensitivity Signaling And Advisor Race Shape Minority Investors' Trust And Investment Intentions, Kathy J. Kuria

All Dissertations

Persistent racial disparities in stock market participation constrain wealth accumulation among African American and Latino households. This study examined how two forms of representation, a firm’s cultural-sensitivity disclosure (an organizational signal) and the advisor’s racial identity, shape trust and investment intentions among these groups. Drawing on social identity theory, signaling theory, and the impression-formation/stereotype-reconciliation literature, this study hypothesized that disclosure and a minority advisor independently increase trust, that the cues would be complementary, and that trust would mediate their impact on investment intentions. A 2 × 2 between-subjects experiment with African American and Latino adults tested predictions using ANOVA, ANCOVA, …