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The Effects Of Using Home Language Vs English In Teaching Safety Skills, Emma Ruiz Aug 2026

The Effects Of Using Home Language Vs English In Teaching Safety Skills, Emma Ruiz

Thesis Projects

Cultural competence and cultural awareness are terms that have started to become more widely used when discussing how therapists impact their clients. The push for cultural competence and awareness has started to create new questions about how a client’s culture can be intertwined with the services that they are receiving. The purpose of this study was to teach a combination of basic safety skills and identify if language impacted behavior. This study utilized one participant who did not acquire the skill to stop in either language. During the experiment, a third language was added to measure control; however, responding remained …

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Latin American Newsletter—The Inter-American College, F. B. Champlin Aug 2026

Latin American Newsletter—The Inter-American College, F. B. Champlin

Elbert Covell College

No abstract provided.

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Anuario De Graduados De Elbert Covell College 1965-1984, Elbert Covell College Aug 2026

Anuario De Graduados De Elbert Covell College 1965-1984, Elbert Covell College

Elbert Covell College

No abstract provided.

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Full Issue, Volume 14, Number 1., Donna J. Peterson Dr., Scott Cummings, Elizabeth Gregory North Aug 2026

Full Issue, Volume 14, Number 1., Donna J. Peterson Dr., Scott Cummings, Elizabeth Gregory North

Journal of Human Sciences and Extension

No abstract provided.

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Ai And The Environment: Solutions For Advancing Technology Safely, Kaitlynn Baker Aug 2026

Ai And The Environment: Solutions For Advancing Technology Safely, Kaitlynn Baker

Discovery Day - Daytona Beach

Since 2022, the world of Artificial Intelligence (AI) has boomed. AI went from a special and rare entity to a commonly used resource available to all through web sites, and phone apps. AI has benefitted everyday activities by making office, class, and personal tasks easier through grammar help, informational citations, and as someone to bounce ideas off of. Additionally, many companies have begun utilizing AI to improve customer service and experience, and train workers more efficiently, therefore, saving thousands of dollars. Despite the benefits humans reap from its use, AI has been harming our environment at growing rates. Data centers …

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Flight Testing And System Identification Of An Experimental Cessna 182, Mariano Chavez Rangel Aug 2026

Flight Testing And System Identification Of An Experimental Cessna 182, Mariano Chavez Rangel

Discovery Day - Daytona Beach

Flight testing and system identification are essential for accurately characterizing aircraft dynamics and supporting the development of reliable flight control systems. This work presents the use of an experimental Cessna 182 as a full-scale platform for flight testing and system identification, conducted by the Eagle Flight Research Center. The objective is to generate high-fidelity flight data to estimate aerodynamic and dynamic coefficients and establish a baseline model for comparison with a sub-scale aircraft incorporating Integrated High-Lift Propulsor (IHLP) technology. The experimental aircraft is equipped with a comprehensive onboard instrumentation suite designed to capture synchronized measurements of air data, aircraft motion, …

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A Narrative-Restorative Framework For Addressing School Bullying, Tristan Patel, Michelle Myers, Daniel Stewart Aug 2026

A Narrative-Restorative Framework For Addressing School Bullying, Tristan Patel, Michelle Myers, Daniel Stewart

Journal of Educational Research and Practice

Bullying in schools is often addressed through punitive deterrence practices, solution-focused counseling, or restorative conferencing. These approaches often fail to recognize or account for the power imbalance that ultimately sustains bullying. This article discusses a narrative-restorative intervention to address bullying as a relational and communal issue, rather than relying on isolation or deterrence practices. The limitations of the dominant models discussed highlight the role of power in shaping bullying dynamics and connect legal and ethical responsibilities of narrative-restorative practices. Situated within the framework of California education law and professional ethical standards, at its core, undercover anti-bullying teams aim to redistribute …

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Human-Centered Modeling Of Traffic As A Complex System, Poorendra P. Ramlall Aug 2026

Human-Centered Modeling Of Traffic As A Complex System, Poorendra P. Ramlall

Discovery Day - Daytona Beach

Traffic systems are driven not only by motion, but by interaction: vehicles influence one another, drivers continuously adapt to surrounding behaviour, and cognitive processes shape decisions that can propagate through the flow of traffic. Understanding these layered interactions is essential for improving traffic safety and for designing the next generation of intelligent, connected, and automated transportation systems. This PhD research develops a multiscale, data-driven framework for identifying, modelling, and ultimately interpreting interaction structure in traffic systems. The work first established an information-theoretic basis for this problem, demonstrating how information flow can uncover directional relationships in traffic dynamics and help infer …

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Atmospheric Gas Dynamics Of Mars: A Multi-Sensor Remote Sensing Approach For Fine Vertical, Global, And Event-Driven Analysis, Frányerson R. López Ochoa Aug 2026

Atmospheric Gas Dynamics Of Mars: A Multi-Sensor Remote Sensing Approach For Fine Vertical, Global, And Event-Driven Analysis, Frányerson R. López Ochoa

Discovery Day - Daytona Beach

To provide precise vertical resolution and worldwide coverage across all seasons and altitudes, this study integrated nadir, limb, occultation, and general circulation model (GCM) measurements in a thorough remote sensing examination of the Martian atmosphere. The study examined the density and temperature structures of major atmospheric gases, mainly carbon dioxide (CO₂), molecular nitrogen (N₂), and argon (Ar), using mission datasets from the Mars Reconnaissance Orbiter (MRO), Mars Express (MEX), and the ExoMars Trace Gas Orbiter (TGO). It also assessed retrieval uncertainties resulting from dust, ice clouds, and sensor limitations. The study concluded that, though valuable, single-geometry observation techniques are unable …

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Modeling A Spaceborne Passive Radar Architecture For Tracking Resident Space Objects Using Ground-Based Signals Of Opportunity, Chinmay Gaikwad Aug 2026

Modeling A Spaceborne Passive Radar Architecture For Tracking Resident Space Objects Using Ground-Based Signals Of Opportunity, Chinmay Gaikwad

Discovery Day - Daytona Beach

Modeling a Spaceborne Passive Radar Architecture for Tracking Resident Space Objects Using Ground-Based Signals of Opportunity Due to an increase in manned and unmanned space activities, there is an increase in demand for resilient space operations. This project investigates passive-radar architecture for space domain awareness in which satellites in a low-Earth-orbit mega-constellation are adapted as distributed sensing platforms for tracking debris and other non-cooperative resident space objects. The motivation is to overcome the coverage, cost, and scalability limits of conventional active or ground-based systems by using lightweight passive receivers that exploit ground-based illuminators of opportunity. In this concept, the receivers …

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Using Sysml Models To Verify System Design And Identify Discrepancies In A Satellite System, Noah Fulton Aug 2026

Using Sysml Models To Verify System Design And Identify Discrepancies In A Satellite System, Noah Fulton

Discovery Day - Daytona Beach

This study investigates the use of Systems Modeling Language (SysML) to verify subsystem design consistency and identify integration discrepancies in a multidisciplinary satellite program. Project COMET, an Embry-Riddle effort under the University Nanosatellite Program (UNP), consists of six subsystems but lacks a centralized system model. This leads to inconsistencies between subsystem inputs, outputs, and interface definitions. Typically, SysML models are created early in the system design cycle; However, this study will evaluate how creating system models post preliminary design review (PDR) can assist a project by verifying subsystem integration or by identifying discrepancies between independently developed subsystems. This study will …

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Quantitative Analysis Of A Single Operator’S Flight Behavior In Simulation, Zackrey Schraeder Aug 2026

Quantitative Analysis Of A Single Operator’S Flight Behavior In Simulation, Zackrey Schraeder

Discovery Day - Daytona Beach

Uncrewed Aircraft Systems (UAS), or more commonly known as drones, have become increasingly used for a variety of applications, and more research has emerged studying the human-machine interaction and pilot performance metrics. Current research focuses on desired behaviors or aggregated pilot data which does not provide a holistic picture of an individual pilot’s flight behaviors, which are shaped by their own experience, preferences, and risk tolerance. The study investigates whether an individual pilot’s flight behaviors can be considered a pattern or if there is enough flight-to-flight variability to consider the behaviors inconsistent. A series of 20 flights were conducted in …

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Assessing Attachment To Ai: Understanding The Theoretical Correlations And Consequences, Brianna Broderick Aug 2026

Assessing Attachment To Ai: Understanding The Theoretical Correlations And Consequences, Brianna Broderick

Discovery Day - Daytona Beach

Current research on Artificial Intelligence (AI) focuses on its capabilities and our understanding of it as an instrumental tool (i.e., utility completing tasks). However, as its ability to replicate natural language improves through both text and voice, an ever-growing number of users have turned to AI for emotional companionship. Concern grows as prior research on technology dependency suggests AI bonding may lead to less interaction with others and, in extreme circumstances, has already led to cases of suicide and divorce. Kasturiaratna & Hartanto (2025) developed the AI Attachment (AIA) scale, consisting of three factors, which include: emotional closeness (i.e., personal …

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Quantifying Grain Size In Scanning Electron Microscopy Images, Katherine Hoffsetz Aug 2026

Quantifying Grain Size In Scanning Electron Microscopy Images, Katherine Hoffsetz

Discovery Day - Daytona Beach

This project explores advanced image analysis techniques to assess the microstructure of highly strained austenitic stainless steel. Utilizing Python imaging libraries such as scikit-image and OpenCV, we aim to extract precise measurements for grain size from scanning electron microscopy (SEM) images. These metrics will be examined against the computed grain sizes of the sample from electron backscatter diffraction measurements. By automating the extraction of grain size measurements from SEM images, this study contributes to steamlining the quality assurance/ quality control of industrially processed materials.

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Learning Casual Structures From Aviation Accident Narratives Using Natural Language Processing And Graph-Based Knowledge Representation, Stephanie Ramsey, Katherine Hoffsetz, Madeline Gorman, Logan Lambeth Aug 2026

Learning Casual Structures From Aviation Accident Narratives Using Natural Language Processing And Graph-Based Knowledge Representation, Stephanie Ramsey, Katherine Hoffsetz, Madeline Gorman, Logan Lambeth

Discovery Day - Daytona Beach

Understanding the complex causal relationships underlying aviation accidents is critical for improving safety and preventing future incidents. However, much of this information exists in unstructured narrative reports, making large-scale analysis difficult. This project aims to automatically extract and model causal chains from National Transportation Safety Board (NTSB) accident narratives using a combination of traditional natural language processing (NLP) techniques, transformer-based architectures, and graph-based knowledge representation. Traditional NLP methods, including named entity recognition, dependency parsing, and rule-based pattern matching, will be used to identify structured cause–effect relationships. These approaches will be compared with transformer-based models, including a lightweight encoder for classification …

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Numerical Modeling Of A Secondary Breakup In The Veritas Asteroid Family, Jarrett Dieterle Aug 2026

Numerical Modeling Of A Secondary Breakup In The Veritas Asteroid Family, Jarrett Dieterle

Discovery Day - Daytona Beach

The Veritas asteroid family, located in the outer main belt, is believed to have formed from the catastrophic breakup of a parent body approximately 8.3 million years ago (e.g., Nesvorný et al., 2003). Larger fragments remained in the main belt, while smaller particles evolved inward under radiation forces, forming a toroidal dust structure observable in infrared data as paired bands. Previous studies (e.g., Dermott et al., 2001) have shown that these bands can be linked to their parent families and modeled from their initial disruptions. We propose that the 10° dust bands associated with Veritas may record evidence of a …

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High-Level Trajectory Learning For Non-Prehensile Object Manipulation With Hierarchical Reinforcement Learning, Gulsum Tuba Cibuk Girgin Aug 2026

High-Level Trajectory Learning For Non-Prehensile Object Manipulation With Hierarchical Reinforcement Learning, Gulsum Tuba Cibuk Girgin

Discovery Day - Daytona Beach

Site exploration requires in-situ resource utilization when the physical properties of resources are unknown. Therefore, a generalizable object manipulation method is crucial for extraterrestrial environments. Existing studies develop reinforcement learning policies that enable interaction with objects, in which quadruped robots learn to reach commanded goals with one foot while balancing with the remaining legs. However, in these studies, goal-oriented task execution relies on high-level trajectories provided by human experts, which limits autonomous robotic operations. In this study, we propose a hierarchical DRL in which a high-level pedipulation policy outputs commands for a low-level reach policy, enabling autonomous, smooth and affordable …

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Ai Race Between The Us And China, Kennedy Lyon-Lindersmith Aug 2026

Ai Race Between The Us And China, Kennedy Lyon-Lindersmith

Discovery Day - Daytona Beach

Technological leadership in AI and semiconductor manufacturing are both directly linked with military power and geopolitical influence. At the same time, the U.S. and China are currently defining the future of conflict in the cyber domain and are in strategic competition as China attempts to displace the U.S. as a global leader in AI. These factors contribute to an important national security threat that the U.S. is facing right now: An AI race between the U.S. and China, specifically regarding military cyber operations. This paper discusses some of the implications of a digital battlefield and analyzes international laws, international institutions, …

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Geometry-Conditioned Adversarial Defense For Sar Automatic Target Recognition Via Regime-Specialist Classification Heads, Skyler Fabre Aug 2026

Geometry-Conditioned Adversarial Defense For Sar Automatic Target Recognition Via Regime-Specialist Classification Heads, Skyler Fabre

Discovery Day - Daytona Beach

This project, titled Geometry-Conditioned Adversarial Defense for SAR Automatic Target Recognition via Regime-Specialist Classification Heads, addresses the critical vulnerability of deep neural networks deployed in Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) systems to adversarial perturbations. This is where imperceptible pixel-level modifications cause confident misclassification, posing serious risks in defense and aerospace applications. The objective is to develop and evaluate RegimeResNet, a geometry-conditioned classification architecture that exploits sensor metadata unique to SAR collection systems. Rather than treating all images uniformly, RegimeResNet partitions the SAR capture space into nine geometric regimes defined by depression angle and target azimuth angle extracted …

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Sequential Causal Architecture For Multimodal Aviation Accident Prediction, Kaitlyn Cavanaugh, Isaac Morrison Aug 2026

Sequential Causal Architecture For Multimodal Aviation Accident Prediction, Kaitlyn Cavanaugh, Isaac Morrison

Discovery Day - Daytona Beach

Aviation accidents are rarely the result of a single failure but rather from a complex causal chain of latent failures. While traditional data mining models often predict incident occurrence, they frequently overlook the sequential mechanics defined by known accident causation theoretical frameworks like the Swiss Cheese Model and the FAA's HFACS. This project addresses the need for interpretable, reliable, multi-stage forecasting by proposing a Sequential Causal Architecture that transforms theoretical causation models into a structured Directed Acyclic Graph (DAG) for multimodal accident causation chain prediction. Data from the NTSB and DOT is used and connected together in a meaningful way …

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Energy-Aware Bimodal Contact Detection For Leg Odometry, Emre Girgin Aug 2026

Energy-Aware Bimodal Contact Detection For Leg Odometry, Emre Girgin

Discovery Day - Daytona Beach

Autonomous exploration of extraterrestrial environments using legged robots requires robust GNSS-free 3D state estimation. Standard leg odometry relies on Zero-Velocity Updates (ZUPT), which assume a grounded foot remains completely stationary. This assumption consistently fails on deformable granular terrain due to unobservable slippage, rapidly degrading state estimation. To mitigate this critical failure mode, we propose a dual contact-detection framework designed to robustly gate an Error-State Extended Kalman Filter (ESEKF) tracking pose, velocity, and IMU biases.   The architecture isolates physical load and kinematics by modeling contact detection as two independent parallel Hidden Markov Models (HMMs). The Load HMM processes Ground Reaction Forces, …

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Motivational Outsourcing: Ai, Self-Determination, And The Changing Nature Of Adult Learning, Zoe Spanos Aug 2026

Motivational Outsourcing: Ai, Self-Determination, And The Changing Nature Of Adult Learning, Zoe Spanos

Discovery Day - Daytona Beach

Artificial intelligence (AI) is increasingly embedded into adult learning and higher education, serving not only as a support tool for cognitive aid but also as a system that can shape how learners regulate their motivation and engagement. This presentation examines how the use of AI in adult learning contexts may support or undermine self-determined motivation, drawing from Self-Determination Theory (SDT). It is a conceptual paper that draws on existing literature and theoretical analysis, examining AI reliance from minimal use to full automation across SDT's three basic psychological needs: autonomy, competence, and relatedness. Motivation is essential for learning, but the quality …

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Learning Motion Primitive Selection And Environment Abstraction, Edison Alberto Martinez Samaniego, Natalie Alexander, Kaelyn Weddle Aug 2026

Learning Motion Primitive Selection And Environment Abstraction, Edison Alberto Martinez Samaniego, Natalie Alexander, Kaelyn Weddle

Discovery Day - Daytona Beach

Learning Motion Primitive Selection and Environment Abstraction Advanced Air Mobility (AAM) is emerging as a transformative solution for short and medium range transportation; however, it introduces an operational model that differs significantly from conventional aviation. AAM vehicles are expected to operate closer to populated areas, with increased autonomy, in dense urban and suburban environments. These settings present constrained maneuvering conditions which highlights the importance of maintaining safe operation under degraded flight conditions. Abnormal conditions may endanger onboard passengers, people on the ground, and surrounding infrastructure, making rapid detection and mitigation essential to prevent loss of control. Recent research has explored …

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Modeling Aircraft Collision Risk Using Machine Learning And Traffic Density Data Ac, Jadia Renee Ewing, Alexander Van Baelan, Conrad Prisby, Rafal P. Smietana Aug 2026

Modeling Aircraft Collision Risk Using Machine Learning And Traffic Density Data Ac, Jadia Renee Ewing, Alexander Van Baelan, Conrad Prisby, Rafal P. Smietana

Discovery Day - Daytona Beach

Air traffic congestion is an increasingly important factor in aviation safety as global flight activity continues to grow. This project investigates whether higher traffic density is associated with an increased risk of aviation incidents and identifies key contributing factors. Using publicly available flight (ADS-B) and incident (NTSB) data, we apply several machine learning models to analyze traffic patterns and predict risk. We begin with logistic regression to evaluate the relationship between density and incident probability, followed by decision trees to extract interpretable rules describing high-risk conditions. K-nearest neighbors (KNN) is used to examine similarity in traffic patterns among incident flights, …

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Impact Of Stress & Fatigue On Cardiovascular Function In Young Pilots: A Thematic Review, Swarna Manoj Aug 2026

Impact Of Stress & Fatigue On Cardiovascular Function In Young Pilots: A Thematic Review, Swarna Manoj

Discovery Day - Daytona Beach

Impact of Stress & Fatigue on Cardiovascular Function in Young Pilots: A Thematic Review   Authors: Swarna Manoj, Scott Ferguson   Keywords: pilot, stress, fatigue, heart rate variability (HRV), cardiovascular disease (CVD) Aviation is expanding globally and young pilots are the major workforce, yet FAA protocols require mandatory ECG only from age 35, with annual cardiac screening after age 40. Over the past five years, a pattern of sudden cardiac arrests in pilots particularly aged 30-40 has urged safety concerns. Despite the existing literature examining fatigue, burnout, stress, sleep hygiene and circadian disruption, only few studies systematically examine how these factors impact …

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Advancing Aircraft Maintenance - Smart Mechanic Glasses Proposal, Diego Cordero-Rios, Ilan Soler, Ryan Mercer, Addison Groce, Ruipeng Zhao, Zimo Yang Aug 2026

Advancing Aircraft Maintenance - Smart Mechanic Glasses Proposal, Diego Cordero-Rios, Ilan Soler, Ryan Mercer, Addison Groce, Ruipeng Zhao, Zimo Yang

Discovery Day - Daytona Beach

Commercial aircraft maintenance is increasingly challenged by aging fleets, expanding use of composite materials, labor shortages, and rising expectations for reliability, safety, and cost-effectiveness. Modern aircraft systems demand that maintenance technicians interpret large amounts of technical data to detect complex and hidden defects while navigating limited visibility, distractions, outdated manuals, and inconsistent flows between teams. Traditionally, technicians rely on printed manuals, tablets, or laptops, which increase cognitive load and interrupt task execution, ultimately decreasing productivity, especially in confined physical spaces. Meanwhile, the use of advanced materials, such as composites, creates inspection and repair demands that are more labor-intensive and time-consuming; …

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Low-Rank Spectral Analysis For The Reddening Of The Seven Sisters Star Cluster, Eric Rodarte, Angelina Scalice, Madison Warner, Kevin Numbe Aug 2026

Low-Rank Spectral Analysis For The Reddening Of The Seven Sisters Star Cluster, Eric Rodarte, Angelina Scalice, Madison Warner, Kevin Numbe

Discovery Day - Daytona Beach

The Pleiades, also known as the Seven Sisters, is a stunning star cluster located approximately 440 light-years from Earth. This vibrant assemblage of hot blue stars in the Taurus constellation can be admired with the naked eye or through binoculars during early autumn. In this presentation, we utilize spectral theory to measure the reddening in the Pleiades star cluster. To evaluate the impact of interstellar dust on reddening, we employ principal component analysis (PCA) on a matrix representing color indices from various photometric bands linked to the cluster’s photometric data. This dataset was obtained from VIZIER. Our PCA analysis of …

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Vibration And Thermal-Vacuum Feasibility For Micro Carbon Fiber Filled Nylon Filament Lunar Applications, Andrew Murphy, Shannon O'Sullivan, Daniel Lopez Aug 2026

Vibration And Thermal-Vacuum Feasibility For Micro Carbon Fiber Filled Nylon Filament Lunar Applications, Andrew Murphy, Shannon O'Sullivan, Daniel Lopez

Discovery Day - Daytona Beach

The proposed work seeks to improve the fundamental understanding of the properties concerning 3-D printing filaments that have potential to be used for lunar applications. The associated properties in focus for the proposed study, vibration and thermal-vacuum-resistance, are fundamental aspects of spaceflight and are critical to mission success for objectives associated with the environmental factors in space. The successful outcome of the proposed work will answer questions relating to the feasibility of micro carbon fiber filled nylon 3-D printing filaments such as Markforged’s Onyx® for application for projects in the Space Technologies Laboratory, including for the development of structures relating …

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Advancements In Spacecraft Trajectory Generation Through Matrix Decomposition Techniques, David Stoev, Oshani Jayawardane, Kaitlyn Cavanaugh, Kristiyan Stefanov, Andrew Murphy Aug 2026

Advancements In Spacecraft Trajectory Generation Through Matrix Decomposition Techniques, David Stoev, Oshani Jayawardane, Kaitlyn Cavanaugh, Kristiyan Stefanov, Andrew Murphy

Discovery Day - Daytona Beach

The Circular Restricted Three-Body Problem (CR3BP) is renowned for its intricate and chaotic dynamics, leaving it without a closed-form solution. In this poster, we introduce an innovative approach to determine spacecraft trajectories within the CR3BP framework using matrix factorization techniques. We formulate a matrix equation where the right-hand side vector is constructed from the spacecraft's position and velocity data, while the coefficient matrix is derived from the spacecraft's temporal data. Subsequently, we apply several matrix decomposition techniques, including modified Gram-Schmidt, the Householder technique, and Givens Rotation, to analyze the coefficient matrix and derive the spacecraft trajectories. Finally, we evaluate the …

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A Myoelectric Prosthesis Utilizing A Convolutional Neural Network And Signal Processing, Hope Lea, Katherine Clark, Francis Genco, Carolyn Ascha Richardson, Tobiah Rosser Aug 2026

A Myoelectric Prosthesis Utilizing A Convolutional Neural Network And Signal Processing, Hope Lea, Katherine Clark, Francis Genco, Carolyn Ascha Richardson, Tobiah Rosser

Discovery Day - Daytona Beach

A Myoelectric Prosthesis Utilizing A Convolutional Neural Network and Signal Processing   Commercially available myoelectric prostheses for transradial amputees utilize electromyography (EMG) sensors to observe electrical signals from superficial muscle contractions and control robotic fingers, yet often have flaws regarding adaptability and dexterity. These devices require users to learn awkward muscle patterns, as the EMG placement and gesture recognition does not consider how humans would normally think about moving their hand. Additionally, the number of available gestures is more limited, as the devices are threshold-based and do not sample enough muscles. This work seeks to address these issues by creating a …

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