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Evaluating Educational Benefits Of A Custom Cyber Game: ‘Hvac Attack!’, Jillian S. Valente Mar 2025

Evaluating Educational Benefits Of A Custom Cyber Game: ‘Hvac Attack!’, Jillian S. Valente

Theses and Dissertations

Cyber competition and conflict remain an enduring concern for the Department of Defense (DoD). Positive control of cyberspace is crucial across the vast diversity of military operations and supporting activities. Military members play an important role in cyber prevention, detection, and remediation, but most receive relatively little training outside of the annual Cyber Awareness Challenge. Particular career fields within the DoD may benefit from specialized training in cybersecurity, in particular the civil engineering (CE) community supporting critical infrastructure protection. Prior research has suggested that game-based learning (GBL) can be beneficial for teaching cyber concepts.

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Machine Learning Techniques To Detect Anomalies In T-38 Flight Sensor Data, Sydney M. Wekamp Mar 2025

Machine Learning Techniques To Detect Anomalies In T-38 Flight Sensor Data, Sydney M. Wekamp

Theses and Dissertations

Accurate sensors are critical for ensuring the safety of aircrew. However, detecting faulty sensors remains a significant challenge for the Test Pilot School at Edwards Air Force Base in California. Current methods rely on either student pilots identifying anomalies or waiting for sensors to fail completely before repairs are made—an approach that lacks reliability and consistency. This research aims to address these shortcomings by implementing machine learning techniques to detect sensor faults proactively. To date, applying machine learning to a dataset of this size, encompassing numerous sensors on the same aircraft, is unprecedented. The project focuses on establishing strong baseline …

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Forecasting Army Recruiting Mission Distribution, Maxwell A. Deihl Mar 2025

Forecasting Army Recruiting Mission Distribution, Maxwell A. Deihl

Theses and Dissertations

The Army’s recruiting landscape has changed markedly in recent years, raising questions about whether forecasting methods of Army contracts remain robust. This thesis recreates the presented models in Joshua McDonald’s 2015 thesis. It replicates and evaluates the models with updated data (2018–2023) to assess their current validity and compare them to novel alternative approaches, such as simpler regression models or neural networks. While the 2015 model remains a valuable baseline, results suggest that either refining its variables or adopting alternative methods can improve predictive accuracy and interpretability. Ultimately, the United States Army Recruiting Command has many options regarding how it …

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Atmospheric Water Generation: Experimental Observations And Assembly Of An Artificial Neural Network, Houston Hoss Anderson Mar 2025

Atmospheric Water Generation: Experimental Observations And Assembly Of An Artificial Neural Network, Houston Hoss Anderson

Theses and Dissertations

This research investigated the performance of a Tsunami T50 Vapor Compression Cycle styled Atmospheric Water Generation (AWG) machine operated under ambient conditions in Dayton, Ohio. Water yield from the device was measured volumetrically and these values are paired with respective weather data, collected from a local monitoring station, to build an Artificial Neural Network in MATLAB and JMP software. Water yield varied over the course of this study but averaged 1.2L and maxed at 5L for 4-hour operating periods. This work is part of a 3-year project; future data is needed to enhance both training and validation of the model …

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Molecular Scale Investigations Of Interactions Between Pfas And Concrete, Eric E. Keeler Mar 2025

Molecular Scale Investigations Of Interactions Between Pfas And Concrete, Eric E. Keeler

Theses and Dissertations

Per- and polyfluoroalkyl substances (PFAS), widely referred to as “forever chemicals,” exhibit high environmental persistence and potential health risks due to their robust carbon-fluorine bonds. These substances are prevalent in aqueous film-forming foams (AFFF), used in industrial and military applications, and are known to contaminate environmental surfaces, including concrete. This study aims to characterize the molecular-level interaction energies of six PFAS species—PFOA, PFOS, PFHxS, PFHxA, 6:2 FTS, and PFBS—with calcium silicate, a key component of concrete, using density functional theory (DFT) calculations. Change in Gibbs free energy (ΔG) was determined for each of the interactions, revealing negative ΔG values for …

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Autonomous Vehicle Path Planning Under Uncertainty, Madison C. Gillan Mar 2025

Autonomous Vehicle Path Planning Under Uncertainty, Madison C. Gillan

Theses and Dissertations

Autonomous vehicles are increasingly being deployed for use in high-stakes and uncertain environments where safe and efficient navigation is critical. In these scenarios, traditional path planning approaches, which rely primarily on deterministic models and fixed assumptions, fall short due to the inherent uncertainty of dynamic threats, sensor inaccuracies, and incomplete information. This research addresses these challenges by developing a novel path-planning methodology that combines the Chance-Constrained Rapidly Exploring Random Tree* (CC-RRT*) algorithm with a probabilistic risk assessment heuristic. This method models uncertainty in sensor detection zones, obstacles in the environment, and the Autonomous Vehicle itself, which allows for uncertainty during …

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Data Lakehouse And Machine Learning Pipeline For Aircraft Fuel Efficiency Experimentation, Skyler G. Kepley Mar 2025

Data Lakehouse And Machine Learning Pipeline For Aircraft Fuel Efficiency Experimentation, Skyler G. Kepley

Theses and Dissertations

Fuel efficiency is crucial for the U.S. Air Force, impacting mission success, aircraft performance, and cost savings. This study presents an information system that integrates flight and maintenance data using a data lakehouse. It automates ingestion, enrichment, and predictive modeling, leveraging AutoML for optimization and SHAP for transparency. A case study on C-130J aircraft shows that optimizing D Check cycles can save 11.52 pounds of fuel per flight hour. These findings highlight the effectiveness of data-driven decision-making in aviation, offering a scalable, automated solution for improving fuel efficiency and reducing costs.

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Evaluating Atmospheric Water Generation For The Indo-Pacific: Predictive Modeling, Energy Considerations, And Regional Viability, Jose I. De La Serna Mar 2025

Evaluating Atmospheric Water Generation For The Indo-Pacific: Predictive Modeling, Energy Considerations, And Regional Viability, Jose I. De La Serna

Theses and Dissertations

Atmospheric Water Generator (AWG) technology presents a promising solution for extracting and harvesting water from ambient air through condensation methods. This innovative approach offers a viable alternative for water production in regions with limited or unreliable water sources. AWGs operate most effectively in hot and humid environments, typically at temperatures of 80°F and relative humidity levels of 80%. As of 2020, the Department of Defense (DoD) has identified the Indo-Pacific region as a strategic focus for addressing future greatpower competition. Within the framework of Agile Combat Employment, this study evaluates the feasibility and performance of AWG technology at pre-determined locations …

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An Agent-Based Modeling Framework For Evaluating The Linkage Between Disaster Facility Damage And Mental Health, Emily S. Reeves Mar 2025

An Agent-Based Modeling Framework For Evaluating The Linkage Between Disaster Facility Damage And Mental Health, Emily S. Reeves

Theses and Dissertations

This research establishes a novel agent-based modeling framework to establish the linkage between disaster-induced facility damage and mental health outcomes and the evaluation of treatment methods within the civilian and USAF mental health spheres. The study models the degradation and recovery of agent mental health using simulated data and evaluates the efficacy of three distinct treatment approaches through statistical methods. The methodology integrate agent-based modeling with resilient engineering concepts to simulate mental health resilience curves based on vulnerability, exposure, and facility damage. Agents’ mental health indices were tracked through phases of degradation, stagnation, and recovery based on the three treatments …

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Jamming-Tolerant Low-Rate Wireless Personal Area Network For Detection Sensor Networks, Michael A. Eddy Mar 2025

Jamming-Tolerant Low-Rate Wireless Personal Area Network For Detection Sensor Networks, Michael A. Eddy

Theses and Dissertations

This research evaluates the impact of electronic warfare, particularly jamming, on an audio-based drone detection wireless sensor network (WSN) using Monte Carlo simulations. A six-node IEEE 802.15.4 network, with five edge nodes and a central sink, is tested against jamming probabilities ranging from 0-100% in 5% increments across 30 iterations per configuration. Results show that packet delivery ratio (PDR) degrades linearly at approximately 20% per jammed node, while detection performance often exceeds PDR. Even at 80% jamming, detection success rates remain above 57%, highlighting resilience despite network degradation. The study reveals that jamming effectiveness depends on node placement relative to …

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Assessing The Feasibility Of Managed Aquifer Recharge For The United States Air Force, Daniel Hendrix Mar 2025

Assessing The Feasibility Of Managed Aquifer Recharge For The United States Air Force, Daniel Hendrix

Theses and Dissertations

Water stress is becoming an increasing global issue, with 4 billion people (50% of the world’s population) experiencing water stress at least one month per year. By 2050, 60% of the world’s population and $70 trillion USD in global gross domestic product will be affected. This research analyzes 78 CONUS USAF installations to determine location-specific water stress and feasible Managed Aquifer Recharge (MAR) solutions. Although thousands of MAR projects have been implemented globally, active-duty USAF installations have yet to contribute to solving this growing issue. Important factors such as required subsurface conditions, physical limitations, design, cost, and regulatory constraints are …

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Radiation Assessment And Distribution In Changing Atmospheric Structures And Turbulence (Radcast), Steven B. Hernandez Mar 2025

Radiation Assessment And Distribution In Changing Atmospheric Structures And Turbulence (Radcast), Steven B. Hernandez

Theses and Dissertations

The accessibility of materials and online information has made radiological dispersal devices (RDDs) a more probable threat than conventional nuclear weapons. This study analyzed five datasets from three test periods, using a correlation analysis between optical turbulence, aerosol concentration, and environmental parameters, and geometric mean diameter (GMD) calculations. The correlation analysis failed to yield meaningful insights, prompted a transition to the GMD analysis, which produced clearer results. Findings show GMD ranged from 38–41 nm, increasing at night and during neutral events as reduced vertical motion and boundary layer contraction correlated with optical turbulence. An alternative GMD dataset, calculated by the …

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Characterization Of The Neutron Spectrum Produced By A Pulsed Power Generator, Daniel S. Godlasky Mar 2025

Characterization Of The Neutron Spectrum Produced By A Pulsed Power Generator, Daniel S. Godlasky

Theses and Dissertations

Neutron time-of-flight, activation foils, and spectral unfolding software were used to characterize the energy and fluence of the neutron spectrum created by the Gamble II pulsed power generator. Gamble II is a pulsed power generator that delivers a 1 MV to 2.2 MV and 800 kA electrical pulse peaking at 50 ns. This electrical release creates deuterium ions in the diode that are accelerated to a neutron converter covered with a novel lithium fluoride or deuterated polyethylene to create primarily 7Li(d,n) or D(d,n) and 12C(d,n) nuclear reactions. In October 2024, two D(d,n) shots occurred, and in November 2024, …

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Increasing A-Type Co32− Substitution Decreases The Modulus Of Apatite Nanocrystals, Stephanie Wong, Abigail Eaton, Christina Krywka, Arun Nair, Christophe Drouet, Alix Deymier Mar 2025

Increasing A-Type Co32− Substitution Decreases The Modulus Of Apatite Nanocrystals, Stephanie Wong, Abigail Eaton, Christina Krywka, Arun Nair, Christophe Drouet, Alix Deymier

Faculty Publications

Biological apatite mineral is highly substituted with carbonate (CO32−). CO32− can exchange for either phosphate, known as B-type, or hydroxyl groups, known as A-type. Although the former has been extensively studied, A-type CO32− substituted apatites are poorly understood. Therefore, A-type CO32− apatites with biologically relevant levels of CO32− (1.7–5.8 wt%) were prepared and characterized. The addition of A-type CO32− into the apatite structure caused the predicted expansion of the a-axis and contraction of the c-axis in the unit cell. This was accompanied by a significant modification in the atomic …

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Applying Image Processing And Computer Vision For Damage Detection In Photovoltaic Panels, Montaser Abdelsattar, Ahmed Abdelmoety, Ahmed Emad-Eldeen Mar 2025

Applying Image Processing And Computer Vision For Damage Detection In Photovoltaic Panels, Montaser Abdelsattar, Ahmed Abdelmoety, Ahmed Emad-Eldeen

Mansoura Engineering Journal

As the use of Photovoltaic (PV) panels as a sustainable energy source grows, there is a need for effective and precise techniques to monitor and manage these systems. Conventional techniques for identifying faults in PV panels, such as manual inspections, require a significant amount of effort and are susceptible to mistakes made by humans. This study introduces an innovative automated method that utilizes image processing techniques implemented using the OpenCV library to identify panel faults, namely hotspots, which are important indications of possible failures. The study approach combines grayscale conversion, histogram analysis, and adaptive thresholding to accurately detect and evaluate …

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Comparing The Work-Life Balance And Stress At General Contractors And Cm Agencies, Lucca A. Arcolino Mar 2025

Comparing The Work-Life Balance And Stress At General Contractors And Cm Agencies, Lucca A. Arcolino

Construction Management

The struggle for a work-life balance has become a significant issue in the construction industry, resulting in personal and organizational challenges. This paper will compare work-life balance and stress between industry professionals working at a CM agency and those at a general contractor. A CM agency is responsible for overseeing the construction project alongside the owner by providing planning, cost estimation, scheduling, and quality assurance. In contrast, the general contractor is responsible for managing the day-to-day operations on-site. A survey was distributed to both types of construction firms to collect data about work hours, work-life balance, stress, and biggest stressors. …

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An Analysis Of Factors Affecting Retention Of Skilled Trades Workers At Construction Companies, James R. Walsh Mar 2025

An Analysis Of Factors Affecting Retention Of Skilled Trades Workers At Construction Companies, James R. Walsh

Construction Management

Construction trades are going through a difficult time in recruiting right now and have been for the past 5 to 10 years. More tradesmen and women from the baby boomer generation are retiring and the rate of replacement by younger people is not enough to keep the workforce at the numbers that would be ideal for a healthy construction industry. This paper delves into what companies can do to make work a place that employees want to be and aims to provide strategies companies can use to retain a quality workforce.

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Preparation Of Mg-Doped Coffee Waste For Efficient Removal Of Methylene Blue And Lead From Water, Pengfei Li, Liang Zhao, Long Li, Kehan Xu, Jibran Iqbal, Zhenbang Tian, Xing Xing, Hui Li, Yaping Hou, Jie Wang, Manman Xu Mar 2025

Preparation Of Mg-Doped Coffee Waste For Efficient Removal Of Methylene Blue And Lead From Water, Pengfei Li, Liang Zhao, Long Li, Kehan Xu, Jibran Iqbal, Zhenbang Tian, Xing Xing, Hui Li, Yaping Hou, Jie Wang, Manman Xu

All Works

Water pollution, particularly from industrial sources, poses severe environmental and health risks, necessitating cost-effective and sustainable solutions. This study investigates the preparation and application of magnesium-doped coffee waste biochar (Mg-CW) for the removal of methylene blue (MB) and lead ions (Pb2+) from water. Mg-CW, synthesized via one-step pyrolysis at 300°C, demonstrated remarkable adsorption capacities of 1024.88 mg/g for MB and 349.59 mg/g for Pb2+. Adsorption efficiencies were optimal at pH 12 for MB and pH 5 for Pb2+, attributed to enhanced electrostatic interactions and complexation mechanisms. Regeneration studies revealed that Mg-CW retains over 95% adsorption efficiency after multiple cycles, highlighting …

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Characterization, Performance, And Toxicological Assessment Of Polysulfone-Sulfonated Polyether Ether Ketone Membranes For Water Separation Applications, Muhammad Usman Yousaf, Lucca Madeo Cortarelli, Nerissa I. Jebet, Jason M. Unrine, Nirupam Aich, Olga V. Tsyusko, Isabel C. Escobar Mar 2025

Characterization, Performance, And Toxicological Assessment Of Polysulfone-Sulfonated Polyether Ether Ketone Membranes For Water Separation Applications, Muhammad Usman Yousaf, Lucca Madeo Cortarelli, Nerissa I. Jebet, Jason M. Unrine, Nirupam Aich, Olga V. Tsyusko, Isabel C. Escobar

Markey Cancer Center Faculty Publications

The removal of small molecular weight charged compounds from aqueous solutions using membrane remains a challenge. In this study, polysulfone (PSf)- and sulfonated polyether ether ketone (SPEEK)-based membranes were fabricated via non- solvent induced phase separation process (NIPS) using N-Methyl-2-Pyrrolidone (NMP) as solvent and water as non-solvent. Membranes were characterized structurally and morphologically, followed by toxicity assessment conducted before and after filtration, both with and without annealing at various pH values to evaluate potential leaching of trapped solvent from the membrane pores. Additionally, membrane performance was characterized using binary mixtures of cationic and anionic dyes. The results demonstrated selective filtration …

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Are Emojis The New Words? A Sentiment Analysis Of Social Media Brand Conversations, Yashodhan Karulkar, Dev T. Vora, Siddharth Vaddepalli, Yash Thakur Mar 2025

Are Emojis The New Words? A Sentiment Analysis Of Social Media Brand Conversations, Yashodhan Karulkar, Dev T. Vora, Siddharth Vaddepalli, Yash Thakur

Journal of International Technology and Information Management

Emojis have become an increasingly important aspect of consumer-brand interactions in the Indian subcontinent. However, the impact of emoji use on brand image and mental health remains underexplored, particularly in emerging economies like India, where structured research on this topic is limited. To address this gap, the present study analyzes over 4,600 consumer tweets related to 19 prominent brands across eleven industries. Using VADER sentiment analysis, the research develops a metric to assess consumer sentiment and brand engagement in relation to emoji usage. The findings indicate that effective integration of emojis contributes to positive consumer sentiment and enhanced brand engagement. …

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Overexpression And Biophysical And Functional Characterization Of A Recombinant Fgf21, Phuc Phan, Jason Hoang, Thallapuranam Krishnaswamy Suresh Kumar Mar 2025

Overexpression And Biophysical And Functional Characterization Of A Recombinant Fgf21, Phuc Phan, Jason Hoang, Thallapuranam Krishnaswamy Suresh Kumar

Chemistry & Biochemistry Faculty Publications and Presentations

Fibroblast growth factor 21 (FGF21) is an endocrine FGF that plays a vital role in regulating essential metabolic pathways. FGF21 increases glucose uptake by cells, promotes fatty acid oxidation, reduces blood glucose levels, and alleviates metabolic diseases. However, detailed studies on its stability and biophysical characteristics have not been reported. Herein, we present the overexpression, biophysical characterization, and metabolic activity of a soluble recombinant FGF21 (rFGF21). The far-UV circular dichroism spectra of rFGF21 show a negative trough at 215 nm, indicating that the protein’s backbone predominantly adopts a β sheet conformation. rFGF21 shows intrinsic tyrosine fluorescence at 305 nm. Thermal …

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Exploration Of Mental Health Stressors And Proposing Interventions Among Heavy-Civil Construction Workers, Enrrique Zarate Mar 2025

Exploration Of Mental Health Stressors And Proposing Interventions Among Heavy-Civil Construction Workers, Enrrique Zarate

Construction Management

The mental health of heavy civil construction workers is an often-overlooked issue. Long hours, job insecurity, physically demanding work, and workplace culture contribute to significant stress, anxiety, and other mental health challenges among workers in this industry. This research aimed to assess the mental health conditions of heavy civil construction workers, identify key stressors, and propose effective intervention strategies to improve overall well-being. Using a combination of surveys and interviews, this study gathered both quantitative and qualitative data to gain a comprehensive understanding of workers’ mental health. The surveys provided broad insights into common stressors and overall mental health of …

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Scshm Benchmark Study On Bridge In-Service Structural Monitoring, Maria Pina Limongelli, Doug Thomson, Screenevas Alampalli, Aftab Mufti, Thomas Schumacher, Luca Martinelli, Othmane Lasri, Harry Shenton, Genda Chen, Mohammad Noori, Multiple Additional Authors Mar 2025

Scshm Benchmark Study On Bridge In-Service Structural Monitoring, Maria Pina Limongelli, Doug Thomson, Screenevas Alampalli, Aftab Mufti, Thomas Schumacher, Luca Martinelli, Othmane Lasri, Harry Shenton, Genda Chen, Mohammad Noori, Multiple Additional Authors

Civil and Environmental Engineering Faculty Publications and Presentations

The mission of the Society of Civil Structural Health Monitoring (SCSHM, previously known as ISHMII) is to advance the understanding and application of structural monitoring methodologies for the management of civil infrastructure systems. To enable comparative and contrasting studies of various monitoring issues and technologies, the SCSHM Committee on Data-Enhanced Infrastructures Management (DEIMC) identified the need for benchmark problems in the areas of bridge and building structural monitoring. This article reports and briefly discusses the first benchmark study on in-service structural monitoring of bridges that was developed in collaboration with the University of Manitoba, and presents the structure details, study …

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Environmental Life Cycle Assessment Of Class A Biosolids Production Using Conventional And Low-Cost, Low-Tech Processes At Small Water Resource Recovery Facilities, Janna Brown, Robert Handler, Jennifer G. Becker, Eric Seagren Mar 2025

Environmental Life Cycle Assessment Of Class A Biosolids Production Using Conventional And Low-Cost, Low-Tech Processes At Small Water Resource Recovery Facilities, Janna Brown, Robert Handler, Jennifer G. Becker, Eric Seagren

Michigan Tech Publications

Producing Class A biosolids that can be distributed or land-applied without restriction is a beneficial way to reuse wastewater treatment solids. For small water resource recovery facilities (WRRFs) in particular, low-cost, low-tech (LCLT) processes may be an appealing alternative to conventional technologies for producing Class A biosolids, such as processes to further reduce pathogens (PFRPs). Conventional Class A biosolids treatment processes tend to be energy-intensive and involve complex equipment and operations. However, a systematic comparison of the overall sustainability of conventional processes and LCLT alternatives for producing Class A biosolids to aid decision makers in selecting treatment processes is not …

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The Application Of Decision Analysis Theory For Space Allocation At The Air Force Institute Of Technology, Damian N. Soriano Mar 2025

The Application Of Decision Analysis Theory For Space Allocation At The Air Force Institute Of Technology, Damian N. Soriano

Theses and Dissertations

This thesis investigates the application of Decision Analysis Theory to optimize space allocation at the Air Force Institute of Technology (AFIT). Through a Multi-Objective Decision Analysis (MODA) framework, this study addresses existing methodologies for space allocation in military, academic, and office settings; the rules, limitations, and factors influencing space utilization at AFIT; and approaches to improve office and lab allocations for institutional efficiency and fairness. This research incorporates qualitative and quantitative metrics, including faculty and student data, research outputs, and historical space usage. These findings highlight significant complexities in space allocation, particularly in reconciling administrative and research requirements with structural …

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Harmonicthreads – An Interface That Supports Accessibility In Musical Interaction, Ellie Nguyen, Miyuki Weldon, Franceli L. Cibrian Mar 2025

Harmonicthreads – An Interface That Supports Accessibility In Musical Interaction, Ellie Nguyen, Miyuki Weldon, Franceli L. Cibrian

Engineering Faculty Articles and Research

Traditional musical instruments often can create boundaries due to their cost, training, mobility, and cognitive requirements, making musical expression inaccessible. To address this challenge, we developed HarmonicThreads, a novel pervasive computing interface consisting of a responsive, flexible fabric. HarmonicThreads provides a tactile and auditory experience, allowing users to easily create and control sounds. Using embedded sensors and real-time processing, HarmonicThreads interprets the user's natural movements and interactions to create adaptable musical outputs. This enables context-aware musical interaction, demonstrating the potential of pervasive interfaces in reducing barriers and making musical expression more accessible.

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Unified Adaptive Cross-Attention Multimodal Network, Mahesh Sunuwar Mar 2025

Unified Adaptive Cross-Attention Multimodal Network, Mahesh Sunuwar

Shelby Hall Graduate Research Forum Posters

Accurately diagnosing appendicitis remains a significant challenge in emergency medicine due to its varied clinical presentation and overlap with other abdominal conditions. Existing diagnostic models often rely on unimodal data, such as computed tomography (CT) images or clinical notes, limiting their ability to capture the full complexity of patient information. This study proposes a novel multimodal framework, a Unified Adaptive Cross-Attention Multimodal Framework (u-ACM), that integrates CT images and clinical notes using hybrid fusion strategies to improve diagnostic accuracy for appendicitis. The u-ACM leverages adaptive contextual filtering to dynamically remove irrelevant features, crossattention mechanisms to align features between modalities, and …

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Computational Model Of Coarctation Of The Aorta In Rabbits Suggests Persistent Ascending Aortic Remodeling Post-Correction, Ashley A. Hiebing, Matthew A. Culver, John F. Ladisa, Colleen M. Witzenburg Mar 2025

Computational Model Of Coarctation Of The Aorta In Rabbits Suggests Persistent Ascending Aortic Remodeling Post-Correction, Ashley A. Hiebing, Matthew A. Culver, John F. Ladisa, Colleen M. Witzenburg

Biomedical Engineering Faculty Research and Publications

Coarctation of the aorta (CoA) is a common congenital cardiovascular lesion that presents as a localized narrowing of the proximal descending aorta. While improvements in surgical and catheter-based techniques have increased short-term survival, there is a high long-term risk of hypertension and a reduced average lifespan despite correction. Computational models can be used to estimate aortic remodeling and peripheral vascular compensation, potentially serving as key tools in developing a mechanistic understanding of the interplay between pre-treatment dynamics, post-treatment recovery, and long-term hypertension risk. In this study, we developed a lumped-parameter model of the heart and circulation to simulate CoA. After …

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Tiny Temp Neonatal Intensive Care Unit Infant Temperature Monitor, Alexandria Lukacsffi, Sydney Dedrick Mar 2025

Tiny Temp Neonatal Intensive Care Unit Infant Temperature Monitor, Alexandria Lukacsffi, Sydney Dedrick

Biomedical Engineering

This document outlines the key steps taken in the specification, design, and functionality of the Tiny Temp Neonatal Intensive Care Unit Infant Temperature Monitor. The BICEP team identified temperature monitors for infants in incubators in the NICU as an area of need after surveying hospitals in the San Luis Obispo area. Current thermometers are oversimplified in design, consisting of only the temperature probe and a piece of adhesive holding the probe directly onto the infant's skin. As a result, the adhesive is weak to prevent harm to the infant and, therefore, falls off the infant easily and frequently, posing a …

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Peripheral Vagus Nerve Stimulation (Pvns) Device For Epilepsy, Logan P. Beckstrand, Alexander P. Crary, Grace E. Heller Mar 2025

Peripheral Vagus Nerve Stimulation (Pvns) Device For Epilepsy, Logan P. Beckstrand, Alexander P. Crary, Grace E. Heller

Biomedical Engineering

Our research team developed a PVNS for Epilepsy device which is intended to act as a preventative measure against seizures for patients with epilepsy. The device is a less invasive alternative to the VNS device on the market using electroacupuncture at the Shenmen and Xin points along the posterior pinna to stimulate the vagus nerve.

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