Digital Commons Network^™

Oaat: Omla-Like Approach Against Tlglock​, Antonio P. Ruiz, Joshua N. Lam

OneUSF Summer Undergraduate Research Symposium

Due to the rise of outsourced chip manufacturing, methods to protect chip designs and Intellectual Property (IP) are necessary to prevent theft and piracy by malicious actors within these intermediate firms. One such method is Logic Locking (LL), which adds circuitry that “locks” the design with a key so that the circuit only gives the correct output when provided with the correct key. The development of various attacks have allowed older LL methods, which rely on changing the placement policy of XOR/XNOR or MUX key-gates, to be broken. A newer LL solution to address this problem is TLGLock, which simplifies …

Smartphone-Based Profiling Of Industrial Control Systems Using Magnetic Side Channels, Michelle Mcaveety, Rylan Pietras, Robert Karam

OneUSF Summer Undergraduate Research Symposium

Industrial Control Systems (ICS) have increasingly been subject to malicious cyber attacks, thus threatening the operational safety, stability, and reliability of critical infrastructure. While existing research has utilized electromagnetic, timing, and audiovisual side channels for ICS attacks, the offensive utility of magnetic side channels in these environments has yet to be explored. Utilizing the magnetometers present in modern-day smartphones, the magnetic fields produced by the Programmable Logic Controller (PLC), Human-Machine Interface (HMI), Linear Actuator Controller, and AC-to-DC Power Converter are recorded. Magnetic field data then undergoes signal processing coupled with machine learning classification on extracted feature vectors to determine the …

Side-Channel Protection Through Threshold Implementation: A Case Study Of Poseidon, Siddhartha Tamma, Madison Daniella Eissayou

OneUSF Summer Undergraduate Research Symposium

As systems grow complex, side-channel attacks pose severe threats by exploiting physical leakage, including power consumption, timing variations, and electromagnetic emissions, to infer sensitive data. To counter this, threshold implementations mask sensitive data by splitting it into randomized shares and performing intermediate computations so that no individual share reveals meaningful information. We aim to achieve a side-channel resistant architecture that eliminates statistical leakage across millions of evaluation traces. To minimize hardware overhead on the FPGA, we can time-multiplex a single protected S-box core across the cipher’s partial rounds. By decomposing the non-linear x^5 operation into cascading steps, we also aim …

Design With, Not For: Augmented Reality For Understudied Populations, Safal Baral

OneUSF Summer Undergraduate Research Symposium

Augmented reality (AR) has shown promise in domains from education to healthcare. Yet, most AR research samples general adult users, overlooking populations with more specific needs. This poster presents two projects focusing on understudied groups: adults with Parkinson’s disease (PD) and children.

The first project explores AR-based cueing systems for adults with PD. Freezing of Gait (FoG) is a debilitating symptom that temporarily and involuntarily blocks movement. To study how AR can assist individuals experiencing FoG, we are conducting a qualitative study with semi-structured interviews and storyboard-based evaluations with people with PD (PwPD), alongside co-design focus groups with clinicians. We …

Immigration Stress And Inequities Driving Diabetes Distress In Hispanic Adults: A Scoping Review, Rachell Nguyen

International Nursing Research Congress (INRC)

Background: Hispanic adults in the United States experience disproportionately high rates of type 2 diabetes mellitus (T2DM) and co-occurring mental health conditions. These disparities are intensified by immigration-related stress, acculturation challenges, and minority stress, all of which contribute to heightened diabetes distress and reduced self-management capacity.

Purpose: This scoping review examined how immigration stressors, acculturation processes, and minority stress influence diabetes distress and mental health outcomes among Hispanic adults with T2DM.

Methods: Using Arksey and O’Malley’s six-step scoping review framework and PRISMA-ScR guidelines, a comprehensive search of PubMed, CINAHL Complete, MEDLINE (OVID), and ScienceDirect identified studies published between 2015 and …

Risk Stratification And Screening For Sleep Apnea In Cardiology Outpatient Setting, Ma Vanessa Simoy Mabazza, Tanya Tanzillo, Paul H. Nguyen, Rubina D. Nguyen

International Nursing Research Congress (INRC)

Background: Obstructive sleep apnea (OSA) is the most prevalent sleep disorder and is strongly associated with cardiovascular disease (CVD), but remains widely underdiagnosed due to inconsistent and non-standardized screening practices in outpatient settings.

Local Problem: Patients with CVD were reported to be diagnosed with OSA following sleep studies at an outpatient cardiology clinic. The need for a consistent, evidence-based approach to risk-stratification and screening was recognized.

Aim: The aim of this project was to increase the sleep apnea risk stratification rate among new adult cardiology patients from 53% to at least 85% over a 16-week implementation period by incorporating the …

Bridging Theory And Innovation: Cultivating Nursing Scholars Through Research, Ai And Mentorship, Charlene Whitaker-Brown, Judy Cornelius

International Nursing Research Congress (INRC)

As a newly R1 Carnegie Classification institution, in the Southeastern part of the United States, there is renewed emphasis on expanding research opportunities for undergraduate and graduate students. In response, the Research Explorer Program commencing in Winter 2025 is being launched as a pilot initiative to enhance student research engagement within the School of Nursing.

This program introduces a cohort of 10 undergraduate nursing students to the fundamentals of nursing research through mentorship with graduate nursing students. Grounded in the belief that early exposure to research strengthens clinical reasoning, evidence-based practice, and leadership, the initiative will provide undergraduates with hands-on …

Learning Challenges And Their Correlation Among Nursing Students Using Artificial Intelligence Bots, Sofia Magdalena Norbe Robles, Francine Isabel M. Adarne, Astrid Jaide Arellano, Charlene Azucenav, Ianne Jasmine A. Bayan, Luis Manuel M. Caudal, Angelica S. De Guzman, Jan Philip Dela Cruz, Gweneth E. Gabon, Adrian Paolo P. Mabahague, Rebeka L. Ricabierta, Andru Nicolas P. Rosal, Jodi Darla S. Taroc, Sheena Margaret B. Valera

International Nursing Research Congress (INRC)

The rise of Artificial Intelligence (AI) has profoundly transformed the digital age, bringing notable implications for nursing education. AI, defined as the simulation of human intelligence in machines (Duggal, 2023), has revolutionized nursing, where students face various challenges related to Knowledge, Skills, and Attitudes (KSA) when using AI bots for academic purposes. This study examines the learning challenges encountered by nursing students in the domains of knowledge, skills, and attitudes (KSA) when using AI bots for academic purposes, particularly in relation to ethical considerations.

A descriptive-correlational research design was employed, using structured questionnaires to analyze the relationship between demographic profiles, …

Multi-Interactive Teaching For Clinical Nursing Preceptors: Impact On Learning Styles And Competence, Shui-Tao Hu, Shu-Ling Yeh, Yi-Ling Chang

International Nursing Research Congress (INRC)

Background: Newly recruited nurses face high turnover and adaptation challenges, requiring clinical preceptors to possess diversified teaching competencies. Multi-interactive teaching, integrating simulation, discussion, and immediate feedback, can enhance teaching reflection and professional development.

Purpose: To examine the effects of multi-interactive teaching on clinical preceptors’ learning styles and teaching competence.

Design: Quasi-experimental, one-group pretest-posttest design.

Methods: Six multi-interactive workshops were conducted for experienced clinical preceptors, covering preceptor characteristics, learner learning styles, teaching competence, and strategies for coaching difficult learners. Workshops included seminars and real-time interactive communities. Participants were registered nurses (clinical ladder 3 or above, or ladder 2 with >5 years’ …

Rewilding Health: A Global Nursing Framework For Nature-Based Interventions And Planetary Well-Being, Amber Lea Vermeesch, Mary Rockwood Lane, Erica Timko Olson

International Nursing Research Congress (INRC)

Purpose: Rewilding—defined as restoring natural ecosystems and reconnecting humans to nature—offers a scalable, evidence-informed strategy to advance global health goals identified by the World Health Organization and United Nations Sustainable Development Goal (SDG) 3. This project examines how nurses can operationalize rewilding and nature-based interventions (NBIs) as ethical, clinical, and policy actions supporting universal health coverage, mental health promotion, non-communicable disease prevention, and global well-being.

Background: Growing evidence demonstrates that exposure to nature reduces stress, improves immune function, decreases depression and anxiety, enhances cancer survivorship outcomes, and promotes social connectedness. Aligning with Watson’s Unitary Caring Science and Chinn’s Emancipatory Nursing, …

Trends And Characteristics Of Behavioral Trials On Hpv Vaccination: A Systematic Review (2006-2025), Jutamas Suwannawat, Megan Whaley, Tsui-Sui Annie Kao, Angela Chia-Chen Chen

International Nursing Research Congress (INRC)

Background: Although human papillomavirus (HPV) vaccination has effectively prevented HPV-related cancers and infections since 2006 (Rosenblum et al., 2022; Semprini et al., 2025), uptake remains suboptimal (Franco et al., 2019; Guo et al., 2025; Han et al., 2025). Behavioral clinical trials have increasingly sought to enhance HPV uptake, yet few have examined overall trends. This study examined trends and characteristics of behavioral HPV vaccine trials between 2006 and 2025.

Methods: We searched ClinicalTrials.gov, the WHO International Clinical Trials Registry Platform, and the International Standard Randomized Controlled Trial Number for behavioral HPV vaccination trials registered between 2006 and 2025. Inclusion criteria …

Nursing Students’ Experiences With Immersive Pediatric Emergency Learning, Hsiang-Yun Lan, Jen-Jiuan Liaw, Yu-Lun Tsai, Chen-Xi Lin, Chiao-Hsuan Lin, Pao-Ju Chen

International Nursing Research Congress (INRC)

Background: Pediatric emergencies are characterized by their unpredictability and complexity, yet opportunities for direct clinical exposure remain limited for undergraduate nursing students. This gap poses challenges to the development of clinical judgment and rapid response competencies.

Purpose: This study aimed to examine how the integration of immersive simulation and inquiry-based learning enhances nursing students’ learning outcomes and shapes their experiences in managing pediatric emergency scenarios, using a simulated child seizure event as the core exemplar.

Methods: A qualitative phenomenological approach was adopted. Purposive sampling was used to recruit 12 nursing students who had completed the instructional intervention. Data were collected …

Fmea-Based Risk Assessment And Improvements For Vascular Access Education In Hemodialysis, Nai-Hua Hsiao

International Nursing Research Congress (INRC)

This study evaluates and improves the patient education and care process before and after arteriovenous fistula surgery in hemodialysis patients. Inadequate implementation of this process may lead to multiple clinical risks. Currently, Southern X Hospital lacks a standardized patient education protocol, resulting in duplicated, omitted, or inconsistent content. These deficiencies negatively affect patients' comprehension and adherence, potentially leading to resource waste and reduced dialysis quality. To address these issues, this study applies Failure Mode and Effects Analysis (FMEA) to systematically identify potential failure modes within the education and care continuum. The CRITIC (Criteria Importance Through Intercriteria Correlation) method is used …

“The Rubber Lung” - An Original Instrument Design, San Gonzalez

2026 Symposium

This project presents an experimental sensor-based instrument designed to produce unconventional sound textures for horror media. The device uses a flex sensor on a balloon that is then connected to an Arduino, which responds to bending and movement, sending data to a Max/MSP patch where the input controls sound processing such as filters and frequency. The physical motion of flexing the sensor on the balloon mimics the expansion and contraction of lungs, creating a breathing like interaction between performer and instrument. This design allows subtle gestures to alter the sound in real time. By using a bodily, breathing motion into …

Unpacking System Factors Contributing To Delayed Icu Discharges: A Mixed-Method Study, Xia Jin, Anne Mette Nørby Adams, Joanne Mcintyre, Steven Galluccio, Shailesh Bihari, Ubbo F. Wiersema, Kathrine De Lyster, Frances Fengzhi Lin

International Nursing Research Congress (INRC)

Background: Discharge delay in resource-constrained Intensive Care Units (ICUs) remains a concerning and persistent challenge, resulting in delayed ICU admissions and after-hours discharges. These delays are associated with adverse patient outcomes and system inefficiency. While centralised patient flow centres and other strategies have been implemented to address these issues, their impact on ICU discharge delays remains unexplored. To improve patient flow, it is essential to explore organisational barriers and facilitators to ICU discharge.

Objective: To identify system factors influencing ICU discharge in a tertiary Australian hospital.

Methods: A mixed-method study was conducted in a 32-bed tertiary ICU in Australia. Between …

Elevating Ipe Through C-Ice 2.0: Refining Interprofessional Collaboration, Katie E. Zander, Lisa A. Benson-Devries, Lindsay Iverson, Kim Begley, Ann Ryan-Haddad, Julia Shin, Cassie Eno

International Nursing Research Congress (INRC)

Background: The complexity of healthcare delivery demands that practitioners collaborate effectively across disciplines to ensure patient safety and optimize outcomes. Interprofessional education (IPE) has become a cornerstone of health professions training, with the Interprofessional Education Collaborative (IPEC) Core Competencies providing a widely adopted framework for preparing learners for team-based care. There remains a critical need for instruments that are valid and capable of reliably assessing observable team-based behaviors. To address this gap, an interprofessional team created The Creighton Interprofessional Collaborative Evaluation (C-ICE) tool. The C-ICE plays a key role in assessing students' ability to demonstrate the IPEC Core Competencies within …

Advancing Clinical Practice - Early Predictors Of Post-Stroke Fatigue: Advancing Patient-Centered Care, Sulochana Koirala Paudel, Ritin Santiago Fernandez, Kaye Rolls, Heidi Green

International Nursing Research Congress (INRC)

Background: Post-stroke fatigue (PSF) is one of the most common and debilitating symptoms experienced by stroke survivors (1). It can persist throughout recovery, limiting independence, reducing engagement in rehabilitation, and diminishing their overall quality of life (2). Despite its prevalence and impact on functional recovery, PSF often remains poorly understood (3) and undermanaged in stroke care (1). Identifying predictors of PSF early in the recovery phase provides an opportunity for nurses to translate evidence into practice. Such insights enable proactive and individualised interventions that optimised recovery trajectories and improve patient outcomes.

Purpose: This study aimed to identify demographic and clinical …

Clinical Facilitators Report The Impact Of Workplace Violence On Nursing Students' Education, Hila A. Dafny

International Nursing Research Congress (INRC)

Background: Violence is well-documented in the nursing profession and is compounded by an increasing incidence of workplace violence towards nursing students. Poor clinical experiences where violence is witnessed or experienced have long-term consequences for both the student and the profession.

Aim: This study aimed to ascertain the perceptions of clinical facilitators regarding the impact of workplace violence on nursing students during their clinical placements.

Methods: Phenomenology-guided qualitative research methods were used in this study. Eleven clinical facilitators employed in various South Australian healthcare settings were interviewed, and the qualitative data were transcribed and thematically analysed manually, assisted by NVivo 12 …

Interprofessional Team Approach To Analyzing Food Scarcity Using Value Stream Analysis, Janet Brown

International Nursing Research Congress (INRC)

Purpose: Food insecurity is a public health concern (Pereira, 2021), and 13.5 % of households in the United States experienced food insecurity during 2023 (Rabbitt et al, 2024). Older adults (age 65+) are disproportionately affected by food insecurity, which can cause serious consequences for their health and well-being (Alyward et al., 2020). Utilization of community-based resources can reduce food insecurity (Alyward et al., 2020). Value Stream Analysis (VSA), a tool traditionally applied in manufacturing and industry, has translated to healthcare settings and significantly improved operational performance (Aloga, 2025). VSA reveals waste, overlap, and hidden capacity when applied to a process …

Difficult Conversations In Hematology/Oncology Nursing: A Com-B Study Of Barriers And Facilitators, Joy Octaviano, Anna Oh, Penelope Blum, Regine Lopez

International Nursing Research Congress (INRC)

Difficult conversations in hematology/oncology often involve prognosis, goals of care, and treatment decisions, contributing to moral distress and burnout. Prior studies show nurses view their role as integral yet secondary to physicians, citing limited confidence, inadequate training, and time constraints. Understanding behavioral drivers can inform strategies to support nurses in these challenging interactions.

This qualitative study explored hematology/oncology/blood and marrow transplant (BMT) nurses’ experiences with difficult conversations, identifying barriers and facilitators through the Capability, Opportunity, Motivation–Behavior (COM-B) model and Theoretical Domains Framework (TDF).

Purposive sampling recruited hematology/oncology/BMT nurses at a large academic medical center. Semi-structured interviews were transcribed; thematic analysis …

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

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

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

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

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

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

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

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

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

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 …