Digital Commons Network^™

Examining Nonadherence To Family Values And Anxiety In College Latinas, Veronica Paola Ramirez

Theses and Dissertations

Due to the rapidly growing rate of the Latinx population, mental health professionals must concentrate on finding the best treatments for this population. The group of interest for this study is young Latinas in college with anxiety symptoms. There is some research on how anxiety levels are influenced by one important factor: non-adherence to family values, however, it is important to understand what may direct this relationship. What makes this research study different is that we attempted to use family conflict as a mediator in the relationship. Furthermore, we attempted to see if levels of autonomy and emotion dysregulation …

Investigating Programmer Bias Transfer To Computer Tasks Among Hispanic Csci/Cmpe Students In A Minority-Serving Institution, Ana Cecilia Sánchez Ramos

Theses and Dissertations

Algorithm-driven systems are increasingly being used across a variety of settings (Center for Democracy and Technology, 2020; O’Neil, 2017; Sauppé and Mutlu, 2015). However, many everyday technologies are imbued with racial biases that unfairly discriminate against racially marginalized groups (Hankerson et al, 2016; Crawford, 2016; O’Neil, 2017). While sources of bias like the unintended overrepresentation of elements in an algorithm’s dataset have been well researched (Hankerson et. al, 2016; Lee, 2015), the transfer of personal prejudices onto a system remains understudied. Here I address this issue and draw from Sociological literature on organizational theory, assimilation, and colorblind ideology to develop …

Investigating The Effects Of Collagen Alignment And Tricalcium Phosphate Incorporation On Osteoblast Cell Response, Kathryn Elizabeth Bock

Theses and Dissertations

Every year, over 20 million people globally are affected by bone tissue loss due to disease or trauma. Bone tissue engineering (BTE) is touted as a promising approach to promote bone tissue repair and regeneration. In this realm, development of collagen-based scaffolds incorporated with a bioceramic is often attempted to generate tissue scaffolds that resemble the organic and inorganic composition of native bone. In addition, a variety of different collagen processing techniques have been employed to produce anisotropically aligned scaffolds that can provide the essential biochemical and structural cues to guide cell response. While there have been numerous studies on …

Viscosity Of Adsorbent Slurries For Washcoating Applications, Nitish Chauhan

Theses and Dissertations

The viscosity of adsorbent slurries is pivotal in understanding their rheological behavior, yet, the research on adsorbent slurry viscosity has been limited. This study addresses this gap by analyzing porous and non-porous solutes' behavior in solvents and then applying it to the washcoating adsorbents on ceramic substrates. By examining MIL-101 (Cr), glass beads, silica nanoparticles, and Titania, the study aims to comprehend the viscosity variations of each solute in the solvents, water and ethanol. A key observation from this study was the significant role of wetting in determining viscosity, as initial results found that MIL-101 (Cr) exhibited the highest viscosity …

Component Approach For A Combined Hurricane Wind And Rainwater Damage And Time Related Expenses Model In Mid/High-Rise Buildings, Zhuoxuan Wei

Theses and Dissertations

This dissertation focuses on mid/high-rise commercial residential buildings (MHRB) vulnerable to wind-driven rainwater ingress during hurricanes. The author developed the WHIP-MHRB model, a new probabilistic vulnerability model funded by the Wind Hazard Infrastructure Performance Center (WHIP-C). This model combines the estimates of rainwater ingress, distribution and propagation, and damage assessments, and time-related expenses (TRE) predictions for MHRB during hurricanes. Embedded within WHIP-MHRB is the WHIP-TRE model, which forecasts repair times, delay times, downtime, and recovery times post-hurricane explicitly.

Furthermore, taking advantage of the new model, this study presents two approaches to address the combined wind and rain vulnerabilities of MHRB …

Stability And Control Flight Testing Of A Modified Cessna 172, Tatiana Dirrigl Forbes

Theses and Dissertations

The Cessna 172N is a small, fixed-wing, single-engine aircraft. The modified Cessna 172N included a swapped engine to a Lycoming O-360-A4M, tuned exhaust, and variable timing ignition installed. Test flights on this aircraft were performed order to evaluate the stability and control characteristics of the Cessna 172N, and compare them with the regulations in the Title 14 CFR Part 23 Airworthiness Standards for Normal, Utility, Acrobatic, and Commuter Category Airplanes. The flight test consisted of four separate tests performed during a single flight, departing from and returning to Melbourne Orlando International airport (KMLB). The data was collected through static and …

Beyond Labels: Understanding The Complexities Of Lgb Employee Team Networks, Mohammed S. Akib

Theses and Dissertations

This study aimed to investigate the team network of lesbian, gay, and bisexual (LGB) employees, as well as the factors influencing those team networks. The findings were based on responses from 13 participants who identified as either lesbian, gay, or bisexual. Participants completed a 60-minute interview, which was audio recorded and transcribed for analysis. The data was analyzed using MaxQDA qualitative analysis software, employing a phenomenological approach. Two research questions were addressed: (1) How, if at all, does the form and nature of the team network differ between the subgroups of LGB employees? and (2) How do various contextual factors …

Charter For Smarter Hats: How Team Charters Dynamically Improve Trust And Emotions In Human-Agent Teams, Dan Manh Nguyen

Theses and Dissertations

Although human-agent teams have received significant attention from both practitioners and researchers in recent years, human attitudes and emotions towards agents present collaborative barriers that reduce effective teaming. Borrowing from literature on traditional human team interventions, this study examines how team charters may be leveraged to set up better trust relationships and emotional states over time, and how these key emergent states influence both objective performance scores and subjective performance ratings. Using data from 43 individuals who participated in a search-and-rescue simulation with four agent teammates, discontinuous growth modeling was used to examine differences in trust and upsetness over time …

Experiments And Simulations Of Liquid Mass Gauging And Slosh Dynamics In Microgravity, Jedediah Morse Storey

Theses and Dissertations

Advancements in liquid propellant management science and technologies are key to increasing safety, decreasing cost, and increasing payload mass of space missions. Propellant usually comprises a large portion of the total mass of launch vehicles and spacecraft, so liquid propellant sensing, as well as predicting and controlling the motion of it, are important. Electrical Capacitance Tomography (ECT) is an emerging sensing technology that is capable of measuring the distribution of liquid anywhere inside of a tank, potentially making it useful for measuring slosh and gauging mass. An ECT-instrumented tank was successfully tested in microgravity for the first time. Basics of …

Does What Doesn’T Kill You Make You Stronger? Examining The Effects Of Resilience And Functional Outcomes On Post-Traumatic Growth In Adults With Acquired Disability, Dominique Renee Ghirardi M.S.

Theses and Dissertations

Disabilities acquired in adulthood are often unexpected and disruptive because a loss of functioning can affect one’s ability to maintain employment, pursue their interests, and participate in social activity without assistance or accommodation. This is especially true for those who experience a life-altering injury or develop a chronic health condition between the ages of 18 and 64, as they likely have not planned for the financial and social adjustments that life with a disability involves. However, factors such as post-traumatic growth can reveal the extent to which someone experiences personal growth and improvement in the wake of a traumatic and …

Stochastic Optimal Control Of Conditional Mckean-Vlasov Equations With Jump And Markovian Switching, Charles Samuel Conly Sharp

Theses and Dissertations

This thesis obtains a number of results in stochastic optimal control for conditional McKean-Vlasov equations with jump and Markovian switching. First, we prove the uniqueness of the solutions and derive a relevant version of Itô's formula. We provide the dynamic programming principle and prove the associated verification theorem. A stochastic maximum principle is established. Further, we derive the relationship between dynamic programming and the stochastic maximum principle. Additionally, we utilize our stochastic maximum principle result for a mean-variance portfolio selection problem.

Development Of A Physics-Informed Neural Network For Prediction Of Blood Flow, Marcello Vittorio Mattei Di Eugenio

Theses and Dissertations

Abstract—Objective: We propose a new neural network architecture that accepts point clouds and outputs 3D velocity profiles for aneurysm geometries. Methods: We generated a synthetic aneurysm 3D flow dataset using CFD and used it to train our model architecture and compare it with other popular architectures like U-net and PointNet. We incorporate tools for improving model performance such as incorporating a distance function, a physics-informed loss to enforce the law of mass conservation, and the Huber loss to learn patterns across heterogeneous velocity components of multiple dimensions. Results: The tools implemented together with our architecture achieved the best performance on …

Design Space Visualization And Exploration For Many Goal Problems Under Uncertainity, Niharika Balaji

Theses and Dissertations

ABSTRACT

Designing a complex engineered system is challenging due to many conflicting goals, uncertainties, and multiple interactions. Traditional optimization approaches often yield single-point solutions, which may not be suitable for early design stages due to their susceptibility to changes in conditions and uncertainties. To address this challenge, a satisficing approach is employed. This approach enables designers to effectively navigate the design space and identify satisficing solutions that balance conflicting goals in the face of uncertainties and changes in conditions. From a systems design perspective, we view design as an iterative process that involves making informed decisions based on available information …

Assessing The Thermodynamic Potential Of Deep Eutectic Solvents In The Absorption Of Greenhouse Gases Through Computational Methods, Thomas Michael Quaid

Theses and Dissertations

Greenhouse gas (GHG) capture is a fundamental technology in the fight against climate change. Some species of devastating GHGs like fluorinated compounds are released directly to the air from industrial processes. Some GHGs are co-produced in sustainably derived biofuels which require absorptive upgrading. The development of more efficient, cost effective, and environmentally friendly methods of capturing GHG’s from pollutant sources and industrial streams is of utmost importance in the fight against climate change. Deep eutectic solvents have entered the separations stage as potential disruptors to conventional solvent choices for a variety of applications. Deep eutectic solvents (DES) are compounds of …

Qasm-To-Hls: A Framework For Accelerating Quantum Circuit Emulation On High-Performance Reconfigurable Computers, Anshul Maurya

Theses and Dissertations

High-performance reconfigurable computers (HPRCs) make use of Field-Programmable Gate Arrays (FPGAs) for efficient emulation of quantum algorithms. Generally, algorithm-specific architectures are implemented on the FPGAs and there is very little flexibility. Moreover, mapping a quantum algorithm onto its equivalent FPGA emulation architecture is challenging. In this work, we present an automation framework for converting quantum circuits to their equivalent FPGA emulation architectures. The framework processes quantum circuits represented in Quantum Assembly Language (QASM) and derives high-level descriptions of the hardware emulation architectures for High-Level Synthesis (HLS) on HPRCs. The framework generates the code for a heterogeneous architecture consisting of a …

How Students Learn: Examining The Differences In Learning Strategies Between Flight And Nonflight Students, Jennifer A. Torres

Theses and Dissertations

The purpose of this study was to determine if there were any differences in learning strategies between undergraduate flight and nonflight students attending a 4-year university that offered a Part 141 flight training program. Learning strategies were measured using Panadero et al.’s (2021) 30-item Deep Learning Strategies Questionnaire and its four subscales—Basic Learning Self-Regulation Strategies, Visual Elaboration and Summarizing Strategies, Deep Information Processing Strategies, and Social Learning Self-Regulation Strategies—all of which were the dependent variables. The primary independent variable was group membership, but the study also incorporated two covariates—self-efficacy and intrinsic value—which were measured using the respective subscales of Pintrich …

Analyzing The Effects Of Ultrafast Laser Processing On Mechanical Properties Of 3d-Printed Pla Parts, Darshan Pramodbhai Yadav

Theses and Dissertations

Recent advances in additive manufacturing technologies have already led to wide-scale adoption of 3D-printed parts in various industries. The expansion in choice of materials that can be processed, particularly using Fused Deposition Modeling (FDM), and the steady advancements in dimensional accuracy control have extended the range of applications far beyond rapid prototyping. However, additive manufacturing still has considerable limitations compared to traditional and subtractive manufacturing processes. This work addresses limitations associated with the as-deposited surface roughness of 3D-printed parts. The effects of roughness-induced stress concentrations were studied on ultimate tensile strength and fatigue life. The samples were manufactured using a …

The Teaching Interaction Procedure As Microintervention Training For Lgbtq+ Adults, Arianna Ty Lipton

Theses and Dissertations

Microaggressions are verbal behavior and environmental arrangements that communicate bias towards individuals of marginalized social groups (Sue, 2010). The LGBTQ+ community experiences high rates of interpersonal microaggressions, which have been associated with financial loss, community rejection, and mental health problems (Nadal et al., 2016). Sue et al., (2019) proposed the term “microintervention” to refer to behavioral strategies that function to reduce the harmful effects or the future frequency of microaggressions (Sue et al., 2019). Traditional inclusivity trainings have generally been developed outside of behavior analysis and focus on solely teaching skills to bystanders rather than training targets of discrimination actionable …

Low Reynolds Number Locomotion Near Interfaces In Two-Fluid Media, Avriel Rowena Mae Cartwright

Theses and Dissertations

Microorganisms often swim within complex fluid environments composed of multiple materials with very different properties. Biological locomotion, including swimming speed, is significantly impacted by the physical composition and rheology of the surrounding fluid environment, as well as the presence of phase boundaries and free interfaces, across which physical properties of the fluid media may vary greatly. Through computational simulations, we first investigate the classical Taylor’s swimming sheet problem near interfaces within multi-fluid environments using a two-fluid immersed boundary method. The accuracy of the methodology is illustrated through comparisons with analytical solutions. Our simulation results indicate that the interface dynamics and …

Investigation On Mechanical, Tribological And Corrosion Resistance Properties Of Nano Sized Tio2/ Corrosion Resistance Properties Of Nano Sized Tio2/ B4c / Graphene Reinforced Aa 7075 Surface Composites B4c / Graphene Reinforced Aa 7075 Surface Composites Fabricated By Frictional Stir Processing Fabricated By Frictional Stir Processing, Majed Mohammed Hotami

Theses and Dissertations

Today, significant research efforts in the field of manufacturing engineering are focused on developing new lightweight, fuel-efficient and high-performance materials. The evolution of composite materials and related technologies has brought great advantages to material development throughout history. Composites are versatile materials with unique mechanical and physical properties tailored to specific application needs. Composites allow engineers to make design choices that traditional monolithic (unreinforced) materials cannot offer. Particle Reinforced Metal Matrix Composites (MMCs) offer a variety of advantages, including increased stiffness, improved fatigue resistance, increased wear resistance, and a low coefficient of thermal expansion. Aluminum MMC (AMMC) material systems outperform monolithic …

Accelerating Machine Learning Inference For Satellite Component Feature Extraction Using Fpgas., Andrew Ekblad

Theses and Dissertations

Running computer vision algorithms requires complex devices with lots of computing power, these types of devices are not well suited for space deployment. The harsh radiation environment and limited power budgets have hindered the ability of running advanced computer vision algorithms in space. This problem makes running an on-orbit servicing detection algorithm very difficult. This work proposes using a low powered FPGA to accelerate the computer vision algorithms that enable satellite component feature extraction. This work uses AMD/Xilinx’s Zynq SoC and DPU IP to run model inference. Experiments in this work centered around improving model post processing by creating implementations …

Task Optimization Utilizing Digital Transformation Concepts - Automation Project Execution Via Agile Methodology, Anthony Steven Maiello

Theses and Dissertations

Task Optimization via the use of automated process improvements is becoming more widespread as more industries lean into the concepts surrounding digital transformation. This shift also necessitates a complementary adaptation in project management methodologies to support the rapid and ever-changing environment, requirements, and innovations. This thesis examines the effectiveness of Agile methodology in managing digital automation projects, with a specific focus placed on process improvements with systems engineering. It accomplished this by contrasting the original model, designed and derived utilizing traditional project management techniques, with the proposed model which is a direct result of the application of Agile project practices. …

The Effect Of Parent-Child Relationships On Healthcare Utilization Among Children With Chronic Medical Health Concerns, Karina Guerra-Guzman

Theses and Dissertations

Parents of children with chronic health complaints are more likely to utilize healthcare services for their child, and are prone to experiencing increased stress and anxiety related to their child’s compromised health status. As these parents navigate managing their child’s health and integrating parenting behaviors, they are dealt with unique stressors that are likely to impact their parenting styles, anxiety, and use of healthcare services. However, most studies that have examined HCU in the context of parent-child relationships have neglected children with chronic health concerns (CHCs). This study examined the relationship between parenting styles across parents of children with a …

Path Planning Development Framework For Mobile Robots, Lauren-Ann Elizabeth Graham

Theses and Dissertations

Planetary exploration relies on methods of path planning to achieve autonomous navigation in hazardous environments. Simulating harsh terrain, real-time varying physics, and robotics applications is vital for testing control algorithms here on Earth. Robotics Operating System (ROS) is a set of software libraries and tools that allow you to build and simulate robotic applications. Utilizing ROS, Gazebo, and Blender, a rough terrain simulation framework is created to explore and compare path planning algorithms using various desired robots and maps. ROS supports multiple path planning algorithms given its open-source abilities. This research focuses on path planning implementation of Proportional-Integral-Derivative (PID) control …

An Evaluation Of Process- And Performer-Based Improvement To Increase Online Giving In Churches, Lauren Elizabeth Rivera

Theses and Dissertations

The COVID-19 pandemic accelerated the adoption of electronic transactions for many churches. Churches which were more inclined to establish online giving platforms weathered the disruption of the pandemic more successfully. Electronic transactions proved to be an efficacious modality for churches to maximize tithing and offering. Behavioral Systems Analysis (BSA) is an evidence-based framework which can inform decision-making, starting with macro-level assessments of the effects of external variables on adaptive systems and systematically funneling down to focus on processes and individuals. This study examined the effects of a process and performer-based intervention, through automation, to increase the percentage of online giving …

Effects Of Perforations On Internal Cathodic Protection And Recruitment Of Marine Organisms To Steel Pipes, Alexander John Paluzzi

Theses and Dissertations

Steel monopile support structures for offshore wind turbines require protection from corrosion on their external and internal surfaces. Cathodic protection (CP) works effectively to protect the external surfaces of monopiles, but internally, byproducts from aluminum sacrificial anode CP (SACP) and impressed current CP (ICCP) induce acidification that accelerates steel corrosion. This project investigated the effects of perforations on the performance of aluminum SACP and ICCP when used inside of steel pipes. Additionally, marine growth on the external and internal surfaces of the pipes was assessed to determine if CP byproducts affect marine organism development.

Two sealed and two perforated steel …

Deep Learning And Generative Ai Approaches For Automated Diagnosis And Personalized Treatment: Bridging Machine Learning, Medicine, And Biomechanics In Predicting Tissue Mechanics And Biomaterial Properties., Yasin Shokrollahi

Theses and Dissertations

Machine learning, particularly deep neural networks, has demonstrated significant potential in predicting high-dimensional tasks across various domains. This work encompasses a detailed review of Generative AI in healthcare and three studies integrating machine learning with finite element analysis for predicting biomechanical behaviors and properties. Initially, we provide a comprehensive overview of Generative AI applications in healthcare, focusing on Transformers and Denoising Diffusion models and suggesting potential research avenues to address existing challenges.

Subsequently, we addressed soccer-related ocular injuries by combining finite element analysis and machine learning to predict retinal mechanics following a soccer ball hit rapidly. The prediction errors are …

Anxiety In International Graduate Students With U.S. Education, Aeshah Zarraa

Theses and Dissertations

Anxiety in international graduate students is a significant concern for most students planning to move out of their home country to pursue higher education in the United States. The primary purpose of this research is to identify the prime causes of anxiety triggers in the targetted Graduate students, thereby determining a step-wise methodology development to address the causes. The study initially identified a set of graduate students who were voluntarily willing to collaborate and address their concerns anonymously to identify the significant issues faced by current students and alumni of the Florida Institute of Technology, Melbourne, Florida. Several questions were …

Project Thetis: A Low-Cost, Low-Profile Inertial Data Logger, Braidan Duffy

Theses and Dissertations

This thesis details the design, testing, calibration, and verification of a nine degree of freedom inertial measurement data logger for use with floating bodies. The instrument was conceived to address limitations of equipment used in classes within the Ocean Engineering department at Florida Institute of Technology. By meeting with several stakeholders and end users, a series of stakeholder requirements, capabilities, and component-level requirements were de- veloped that informed the design constraints. There were several hardware iterations of the board, culminating in Revision F5 which was extensively tested and proven. The design was inspected after testing concluded to determine which capabilities …

Assessing The Thermodynamic Potential Of Deep Eutectic Solvents In The Absorption Of Greenhouse Gases Through Computational Methods., Thomas Michael Quaid

Theses and Dissertations

Greenhouse gas (GHG) capture is a fundamental technology in the fight against climate change. Some species of devastating GHGs like fluorinated compounds are released directly to the air from industrial processes. Some GHGs are co-produced in sustainably derived biofuels which require absorptive upgrading. The development of more efficient, cost effective, and environmentally friendly methods of capturing GHG’s from pollutant sources and industrial streams is of utmost importance in the fight against climate change. Deep eutectic solvents have entered the separations stage as potential disruptors to conventional solvent choices for a variety of applications. Deep eutectic solvents (DES) are compounds of …