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Articles 8941 - 8970 of 5156459
Full-Text Articles in Entire DC Network
Model Oas Conference At Elbert Covell College, University Of The Pacific News Bureau
Model Oas Conference At Elbert Covell College, University Of The Pacific News Bureau
Elbert Covell College
No abstract provided.
Elbert Covell College New Student Questionnaire, Gaylon L. Caldwell
Elbert Covell College New Student Questionnaire, Gaylon L. Caldwell
Elbert Covell College
No abstract provided.
Elbert Covell Programa Co-Op Borrador Agosto 1974, Elbert Covell College
Elbert Covell Programa Co-Op Borrador Agosto 1974, Elbert Covell College
Elbert Covell College
No abstract provided.
Elbert Covell College Fees For 1965-1966, Elbert Covell College
Elbert Covell College Fees For 1965-1966, Elbert Covell College
Elbert Covell College
No abstract provided.
Covell Action Center Newsletter, Covell Action Center
Covell Action Center Newsletter, Covell Action Center
Elbert Covell College
No abstract provided.
Elbert Covell College Alumni Newsletter, Evelyn Pedro
Elbert Covell College Alumni Newsletter, Evelyn Pedro
Elbert Covell College
No abstract provided.
Contrato Entre La Universidad De Costa Rica Y La Universidad Del Pacifico (Elbert Covell College), Elbert Covell College
Contrato Entre La Universidad De Costa Rica Y La Universidad Del Pacifico (Elbert Covell College), Elbert Covell College
Elbert Covell College
No abstract provided.
Anuario De Graduados De Elbert Covell College 1965-1984, Elbert Covell College
Anuario De Graduados De Elbert Covell College 1965-1984, Elbert Covell College
Elbert Covell College
No abstract provided.
Congressional Record: Elbert Covell College-Splendid Progress By University Of The Pacific, Congressional Record
Congressional Record: Elbert Covell College-Splendid Progress By University Of The Pacific, Congressional Record
Elbert Covell College
No abstract provided.
Alliance For Progress Report On Elbert Covell College 1965, Alliance For Progress Information Team
Alliance For Progress Report On Elbert Covell College 1965, Alliance For Progress Information Team
Elbert Covell College
No abstract provided.
Administrative Report On Recruiting Trip To Mexico And Guatemala, Gary Hoover
Administrative Report On Recruiting Trip To Mexico And Guatemala, Gary Hoover
Elbert Covell College
No abstract provided.
Acuerdo Sobre Intercambio Cultural Entre La Universidad De Costa Rica Y La Universidad Del Pacifico (Elbert Covell College), Elbert Covell College
Acuerdo Sobre Intercambio Cultural Entre La Universidad De Costa Rica Y La Universidad Del Pacifico (Elbert Covell College), Elbert Covell College
Elbert Covell College
No abstract provided.
A Study Of Opinions Of Covell Students About The Adjustment Process To American Culture, Maria Victoria Ramirez
A Study Of Opinions Of Covell Students About The Adjustment Process To American Culture, Maria Victoria Ramirez
Elbert Covell College
No abstract provided.
Full Issue, Volume 14, Number 1., Donna J. Peterson Dr., Scott Cummings, Elizabeth Gregory North
Full Issue, Volume 14, Number 1., Donna J. Peterson Dr., Scott Cummings, Elizabeth Gregory North
Journal of Human Sciences and Extension
No abstract provided.
Prototype Ai Assistant For Private And Student Pilots, Shawn De La Osa
Prototype Ai Assistant For Private And Student Pilots, Shawn De La Osa
Discovery Day - Daytona Beach
This research explores AI-based decision support in light general aviation (e.g., Cessna 172, Diamond), where onboard hardware is typically too limited for modern AI. In aviation, AI has the potential to act as a “copilot” supporting planning, execution, and assessment, particularly since single pilots must simultaneously aviate, navigate, and communicate under high workload. However, although AI adoption is rapidly expanding, many implementations are introduced without fully incorporating human-centered design processes that account for pilot workflow and workload. We leverage a human factors process in this research. First, we design and evaluate a cloud-based AI copilot . The system leverages Starlink …
Ai And The Environment: Solutions For Advancing Technology Safely, Kaitlynn Baker
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 …
Artificial Intelligence Decision Support And Pilot Performance, Aarohi Srivastava
Artificial Intelligence Decision Support And Pilot Performance, Aarohi Srivastava
Discovery Day - Daytona Beach
The integration of artificial intelligence (AI) into aviation decision support systems (DSS) introduces new opportunities for pilots. While these systems offer considerable benefits, ensuring safe and optimal human-AI interaction requires further research. In the case of student pilots, trust calibration, system transparency, and appropriate reliance are all factors that influence the operational success of an integrated AI system. The systems are designed with the goal of decreasing cognitive workload, increasing situational awareness (SA), and providing data-based recommendations to help the pilot make quick and accurate decisions. This study will evaluate the effects of disclosed vs undisclosed AI accuracy on student …
Flight Testing And System Identification Of An Experimental Cessna 182, Mariano Chavez Rangel
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, …
Advancing Vtol Tail-Sitter Stability Through Modern Flight Control And System Identification, Tobey Cram, Jacob House, Alexander Theophanis
Advancing Vtol Tail-Sitter Stability Through Modern Flight Control And System Identification, Tobey Cram, Jacob House, Alexander Theophanis
Discovery Day - Daytona Beach
Title: Advancing VTOL Tail-Sitter Stability Through Modern Flight Control and System Identification The concept of tail-sitter aircraft can be traced back to Nikola Tesla nearly 100 years ago; however, no aircraft with this novel design materialized until nearly 20 years later during World War II, when efforts were made to reduce reliance on runways. One notable design that emerged during the Cold War was the Convair XFY-1 Pogo. This design failed for reasons common to many others of the time: pilots had extreme difficulty landing while looking over their shoulders, and the technology of the era could not reliably maintain …
Data-Driven Learning Algorithms To Predict Spacecraft Trajectories In The Dro Family, Sarath Murarisetty, Hansaka Aluvihare Aluvihare, Oshani Jayawardane, Annika Anderson
Data-Driven Learning Algorithms To Predict Spacecraft Trajectories In The Dro Family, Sarath Murarisetty, Hansaka Aluvihare Aluvihare, Oshani Jayawardane, Annika Anderson
Discovery Day - Daytona Beach
Generating precise, accurate, and efficient trajectories in the Earth-Moon circular restricted three-body problem (CR3BP) is crucial for long-term lunar missions, yet it remains challenging. A primary reason for this is that the CR3BP is an extremely nonlinear and chaotic system. Fortunately, neural networks present a promising approach for addressing such complex nonlinear challenges. In “Data-driven Learning Algorithms to Predict Spacecraft Trajectories in the DRO Family,” this work addresses the challenge of solving a nonlinear system within the CR3BP framework to determine the trajectories of spacecraft within the Distant Retrograde Orbit (DRO) family using neural networks (NNs). For a comprehensive comparison …
Adaptive Health Monitoring For Runtime Safety Assurance Of Advanced Air Mobility Applications, Michael Budihartono, Francisco Bustamante, Gabriela Gavilanez
Adaptive Health Monitoring For Runtime Safety Assurance Of Advanced Air Mobility Applications, Michael Budihartono, Francisco Bustamante, Gabriela Gavilanez
Discovery Day - Daytona Beach
This work proposes a comprehensive, adaptive framework for abnormal condition detection and flight envelope prediction in complex systems. The approach integrates data reduction techniques, including principal component analysis and lower-dimensional projections, to efficiently distinguish between nominal and abnormal operational states while maintaining computational efficiency through metacognitive interventions. A hybrid detection architecture combines bio-inspired real-value negative selection algorithms with support vector machines, augmented by generative machine learning models to synthesize failure data and support training through digital twin environments. Online fault trend analysis enables continuous monitoring of system degradation, while the system dynamically adapts to operational variations by minimizing offline training …
Impact Of Acute Flight Training Stress On Cardiovascular Health: A Pilot Study, Toni Butler
Impact Of Acute Flight Training Stress On Cardiovascular Health: A Pilot Study, Toni Butler
Discovery Day - Daytona Beach
Impact of acute flight training stress on cardiovascular health: A pilot study Toni C. Butler, Carolina R. P. Ferreira, Bryan W. Hinton, Noah J. Robbins, Sophia R. Vaden, Andrew H. Schneider, Scott K. Ferguson, Ph.D. Cardiovascular conditions are among the most common medical issues in certificated pilots and a major source of certification scrutiny. Student pilots experience unique acute stressors during flight training that may influence both physiological and psychological health. Acute stress is known to affect cardiovascular function, including vascular endothelial health; however, the impact of flight training–related stress on cardiovascular function remains poorly characterized. This pilot study tested …
The Effects Of Hypoxia On Balance Systems, Samuel Drescher Drescher, Heather Bond, Allysa Hayden, Victoria Cornaro, Brandon Ibarra, Noah Clark, Frank Cunningham Iv, Carolina Ferreira, Sierra Martinez, Katie Stubits
The Effects Of Hypoxia On Balance Systems, Samuel Drescher Drescher, Heather Bond, Allysa Hayden, Victoria Cornaro, Brandon Ibarra, Noah Clark, Frank Cunningham Iv, Carolina Ferreira, Sierra Martinez, Katie Stubits
Discovery Day - Daytona Beach
Hypoxia, a condition characterized by insufficient oxygen availability to body tissues, is known to impair physiological and cognitive function, particularly at high altitudes above 15,000 ft. However, the effects of mild hypoxia (10,000–15,000 ft) remain less well understood. This study, conducted by the department of Human Factors and Behavioral Neurobiology at Embry-Riddle Aeronautical University, investigates the impact of mild hypoxia at 12,000 ft on human balance systems. Specifically, it examines the three primary components of balance: visual, proprioceptive, and vestibular systems. Participants complete nine balance tasks under both normoxic and hypoxic conditions. Tasks are structured to progressively limit sensory input: …
Crowd Monitoring And Firearm Detection Uas, Arjun Nambiar, Sang-A Lee, Diego Espino, Will Obot Jr, Ethan Encarnacion, Jarrett Usui, Jacob D. Kline
Crowd Monitoring And Firearm Detection Uas, Arjun Nambiar, Sang-A Lee, Diego Espino, Will Obot Jr, Ethan Encarnacion, Jarrett Usui, Jacob D. Kline
Discovery Day - Daytona Beach
The increasing complexity of public safety operations in urban and high-density environments necessitates intelligent, mobile surveillance systems capable of real-time threat identification and situational awareness. Traditional monitoring approaches, such as fixed CCTV systems and manual observation, are often limited by coverage, scalability, and response latency in complex environments or large-scale events. This project addresses these challenges through the development of a computer vision-enabled Uncrewed Aerial System (UAS) designed for crowd monitoring and firearm detection. The primary objective is to design and validate a modular, Artificial Intelligence (AI)-Machine Learning (ML)-driven model capable of identifying firearms within dynamic environments while supporting real-time …
Characterizing Air Traffic Density Using Nationwide Ads-B Data, Taeyun Yoo, Arjun Nambiar, Sang-A Lee
Characterizing Air Traffic Density Using Nationwide Ads-B Data, Taeyun Yoo, Arjun Nambiar, Sang-A Lee
Discovery Day - Daytona Beach
This study addresses the increasing need to understand aircraft activity in low-altitude airspace, where emerging operations such as Unmanned Aircraft Systems (UAS) and Advanced Air Mobility (AAM) are expected to heighten traffic complexity and safety risks. This research develops a scalable framework for constructing a nationwide, high-resolution, altitude-stratified airspace density atlas using Automatic Dependent Surveillance–Broadcast (ADS-B) data. The methodology incorporates large-scale data acquisition, terrain-referenced altitude normalization, and spatial aggregation using a hexagonal grid system, followed by statistical modeling to estimate traffic density across spatial and temporal dimensions. Preliminary results indicate the capability to generate detailed geospatial representations of aircraft activity, …
A Narrative-Restorative Framework For Addressing School Bullying, Tristan Patel, Michelle Myers, Daniel Stewart
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 …
Investigation Of Bio-Inspired Design Tools In Satellites, Spoorti Nanjamma
Investigation Of Bio-Inspired Design Tools In Satellites, Spoorti Nanjamma
Discovery Day - Daytona Beach
This study investigates the application of Biologically Inspired Design (BID) tools within student-led satellite design teams, with the goal of enhancing early-stage systems engineering practices. As CubeSat missions become increasingly complex and resource-constrained, there is a need for approaches that support innovative yet structured problem-solving. While BID has shown promise in other engineering domains, its practical integration into satellite design, remains limited. To address this gap, three interactive workshops were developed and implemented with a Embry-Riddle Aeronautical university CubeSat team – Project COMET. The first workshop focused on functional decomposition, guiding students to express subsystem behavior in verb–noun form and …
Model-Based Systems Engineering Test Case Development And Traceability For Cubesats, Spoorti Nanjamma, Abigail Butcher
Model-Based Systems Engineering Test Case Development And Traceability For Cubesats, Spoorti Nanjamma, Abigail Butcher
Discovery Day - Daytona Beach
Model-Based Systems Engineering (MBSE) using CATIA Magic Systems of Systems Architect (formerly known as CAMEO) is applied to develop a structured and traceable approach to test case modeling for CubeSat missions. The effort focuses on supporting unit-, subsystem-, and system-level testing by explicitly linking system requirements to corresponding test cases within the model, ensuring clear traceability across all verification levels. Each test case is organized within a dedicated package that includes a Block Definition Diagram (BDD) and Internal Block Diagram (IBD) to represent the complete test configuration, capturing all relevant components, subsystem boundaries, and interface connections involved in the test …
Antimicrobial Responses Of Staphylococcus Aureus In Simulated Spaceflight Conditions, Mikayla Dutkiewicz, Yegor Bushnev
Antimicrobial Responses Of Staphylococcus Aureus In Simulated Spaceflight Conditions, Mikayla Dutkiewicz, Yegor Bushnev
Discovery Day - Daytona Beach
Microbial persistence in confined environments, such as spacecraft, can pose challenges to astronaut health and habitat maintenance. This project investigates Staphylococcus aureus, a Gram-positive bacterium commonly associated with human microbiota and opportunistic infections, in spaceflight-relevant environmental conditions. Further, this project will assess the influence of the antimicrobial/antioxidant compound quercetin to assess its effects on bacterial growth and virulence under standard Earth gravity and simulated International Space Station (ISS) conditions. This approach will assess whether spaceflight-relevant stressors, including microgravity and radiation, alter treatment efficacy by influencing microbial physiology and antimicrobial susceptibility. Data collection and analysis are ongoing, and results are expected …
Human-Centered Modeling Of Traffic As A Complex System, Poorendra P. Ramlall
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 …