University of Central Florida

Design Principles of Optimizing Cementitious Glasses for the Disposal of Radioactive Waste

ABSTRACT We designed, synthesized, and characterized 26 cementitious calcium‐magnesium aluminosilicate (CMAS) glasses using the chemical and mineralogical properties of ordinary Portland cement (OPC), ground, granulated blast furnace slag (BFS), and class F fly ash as bounding co...

Comparing Emotional Facial Expressions Produced During Personal Narrative Discourse by People With and Without Aphasia

PURPOSE: This preliminary study aimed to (a) determine whether the frequency and intensity of emotional facial expressions during personal narrative discourse are different for people with aphasia (PWA) than for adults without aphasia and (b) explore the relationship between the...

Multi-Sensor Mapping of Aquatic Vegetation Using Sentinel-2, SAR–Optical Fusion and Derived Spectral and SAR Indices in South Florida

Accurate mapping of submerged aquatic vegetation (SAV) and emergent aquatic vegetation (EAV) is essential for hydrologic assessment and wetland management. This study developed and evaluated a multi-sensor aquatic vegetation mapping framework using Sentinel-1 SAR, Sentinel-2 opti...

FM-GPT: Bayesian fine mapping for phenome-wide transcriptome-wide association studies

Abstract Transcriptome-wide association studies (TWAS) integrate genome wide association studies with expression quantitative trait locus reference panels to identify genes associated with traits of interest. However, linkage disequilibrium and correlated gene expression can indu...

Plastic and Anthropogenic Particles in the Reproductive Tissues of Feral and Domestic Felines

Feral and domestic felines are continuously exposed to meso- (polymer length: 5–25 mm) and microplastics (polymer length < 5 mm) from environmental or household contaminants. Ingestion and inhalation are the primary pathways for internalization of plastic, non-plastic anthropogen...

HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation

Although recent large multimodal models (LMMs) show impressive progress on vision–language tasks, their alignment with human-centered (HC) principles such as fairness, ethics, inclusivity, empathy, and robustness is often overlooked. Existing LMM benchmarks are largely accuracy-a...

Optimal Order Time Discretizations for Stochastic Semilinear Wave Equations with Multiplicative Noise

This paper focuses on developing and analyzing two novel implicit temporal discretization methods for the stochastic semilinear wave equations with multiplicative noise. The proposed methods are natural extensions of well-known time discrete schemes for deterministic wave equatio...

Polypharmacy and Self-Reported Tooth Clenching: An Electronic Health Record Analysis

Introduction: Central nervous system (CNS) medications, particularly antidepressants (selective serotonin reuptake inhibitors [SSRIs], serotonin-norepinephrine reuptake inhibitors [SNRIs]), stimulants for attention-deficit/hyperactivity disorder (ADHD), and antipsychotics, are co...

Reproducibility, Replicability, and Research Quality in Homogeneous Catalysis

Abstract Researchers from all sectors of homogeneous catalysis convened in response to concerns regarding reproducibility in science to analyze the issue and provide recommendations. In addition to an in-person workshop, the group engaged the broader homogeneous catalysis communi...

A data-driven channel infilling rate forecasting framework with quantified uncertainty for Southwest Pass and Houston Ship Channel

Dredging operations in navigational waterways are essential to maintain channel depth to ensure the safe passage of vessels. Existing shoaling forecasting tools often rely on heuristics or direct modeling of cumulative sedimentation, limiting lead time and predictive reliability....

Inequalities for Pairs of Measure Spaces and Applications

ABSTRACT We study a family of inequalities on pairs of measure spaces involving functions defined on product domains. Our main result establishes a Jensen‐type inequality under a general product‐measure framework, extending classical inequalities such as Hölder's and Minkowski's...

Evaluating Generative AI as a Human Factors Requirements-Based Review System of Spaceflight Ground Displays

Control displays provide monitoring, control, and commanding capabilities during prelaunch and launch countdown operations. These displays are evaluated against a set of design standards during development. Generative artificial intelligence systems offer an alternative to human-...

Governing AI at the clinical threshold: a grounded theory framework for responsible AI deployment in mindfulness-based mental health

AI-powered platforms for mental health delivery are scaling rapidly into contexts previously governed by trained human practitioners—without empirically grounded frameworks to guide their ethical deployment, manage adverse effects risk, or address the structural design failures t...

From Ambiguity to Execution: An Agentic Neuro-Symbolic Framework for Transforming Building Regulations into Deterministic Constraints

Integrating Large Language Models (LLMs) into Automated Compliance Checking (ACC) introduces "Spatial Hallucinations" and "Serialization Bottlenecks" when processing massive Building Information Models (BIM). This research proposes an Agentic Neuro-Symbolic Framework that decoupl...

Development and validation of the Transgender Violence and Discrimination Scale (TVDS)

Violence and discrimination against transgender individuals are significant global health and human rights concerns, yet reliable and valid instruments to measure these experiences are lacking, particularly in the Iranian context. The present study aimed to develop and validate a...

Crisis Learning in Local Governments: Organizational Adaptation and Policy Change During the COVID-19 Crisis

Crises can trigger multi-dimensional transformations in public administration systems. This study focuses on the integrated mechanism of learning during crisis to enhance our understanding of emergency management optimization in complex crisis environments. This study constructs...

A new pathway to explore visitors' experiential states in immersive digital exhibitions

Purpose The use of advanced digital technologies has become a prominent trend in the immersive digital exhibition sector. This study empirically tests a theoretical framework, explaining how visitor experiential states activate cognitive processing and influence positive attitude...

Exercise and Brain Health in Postmenopausal Women: A Review of Cognitive Benefits, Mechanisms, and Neurodegeneration Prevention

Menopause represents a major neuroendocrine transition characterized by substantial hormonal, metabolic, vascular, and inflammatory changes that may increase vulnerability to cognitive decline and neurodegenerative disease. Declining estrogen levels during the menopausal transiti...

Stretching the Applications of Simulator Rehearsal: Preparing Chemistry GTAs in Questioning Techniques

Graduate teaching assistants (GTAs) play an integral role in undergraduate STEM education. Investment in training initiatives equips GTAs with evidence-based teaching strategies. This study investigates chemistry GTAs’ responses to a questioning strategy, known as Stretch-It, dur...

Efficient quantum implementation of dynamical mean field theory for correlated materials

The accurate theoretical description of materials with strongly correlated electrons is a formidable challenge in condensed matter physics and computational chemistry. Dynamical Mean Field Theory (DMFT) is a successful approach that predicts behaviors of such systems by incorpora...