Digital Commons Network^™

A Study Of Professional Learning Community Leadership Using A Modified Approach, Makayla Willis Needs

Theses and Dissertations

Professional Learning Communities (PLCs) are an important vehicle for teacher reflection and collaboration. The team leader of the PLC plays a critical role in the effectiveness of a PLC in improving instruction and student learning. However, there is less research around how the team leader facilitates the work of the PLC to improve instruction. This paper reports on a self-study investigation conducted by the team leader who used a modified approach to the PLC process focused on student mathematical thinking. The self-study consisted of analyzing video conversations of three PLC meetings to understand the nature of the leadership and how …

Using Discrete-Event Simulation To Balance Staff Allocation And Patient Flow Between Clinic And Surgery In A Pediatric Hospital Setting, John Forbus

Theses and Dissertations

We review the problem of a system-level balanced scheduling scenario. A hospital clinic has a queue for patients needing care. After being seen in clinic, many require follow-up surgery, for which they also wait in a queue. The rate-limiting factor is physician availability for both clinic visits and surgical cases. Much existing work has been done to optimize clinic appointments, as well as to optimize surgical appointments. This novel approach models the entire patient journey at the system level, through both clinic and surgery, to optimize the total patient experience. A discrete-event simulation model of the system is built based …

Discovery Of Oligomeric States And Small Molecules That Affect Deacylase Activities Of Human Sirtuin-2 (Sirt2), Jie Yang

Theses and Dissertations

Human sirtuin isoform 2 (SIRT2) is an NAD+-dependent enzyme that removes various acyl modifications from lysine residues. SIRT2 is involved in many biological processes, such as transcription, DNA repair, cell proliferation, and metabolism. Due to its diverse functions, SIRT2 is implicated in various disease states, including cancers and neurodegenerative disorders. This dissertation aimed to understand the regulation of SIRT2’s deacylase activities and to discover small molecule modulators of SIRT2. In this work, we found that SIRT2 dimerized in solution, and the dimerization decreased the deacetylase activities without affecting the defatty-acylase activity of this protein. Dimerized SIRT2 dissociates into monomers upon …

Mathematical Modeling And Understanding The Physiological Mechanisms Of Vibration On Wound Healing And Scar Remodeling, Devin Rion Needs

Theses and Dissertations

Chronic wounds and pathological scars reduce the quality of life for millions of people worldwide. Through mathematical modeling and clinical testing, understanding of how these conditions occur continues to increase. These tools have also been employed to investigate the efficacy of treatments that could impact wound healing and scar remodeling. The purpose of this work is to investigate the physiological effects of vibration treatment on wound healing, blood flow, and scar remodeling through mathematical modeling and experimental testing. This work presents and validates a mathematical murine model for whole body vibration enhanced wound healing (VEWH). This VEWH model builds on …

Control, Localization, And Shock Optimization Of Icosahedral Tensegrity Systems, Brett Layer

Theses and Dissertations

Exploring the design space of tensegrity systems is the basis of the work presented in this thesis. The areas explored as part of this research include the optimization of tensegrity structures to minimize the size of a tensegrity structure given payload shock constraints, and the control and locomotion of an icosahedral tensegrity system using movable masses and using an accelerometer in conjunction with leveraging geometrical knowledge of an icosahedral tensegrity system to localize the system after the system moves. In the optimization design space, a simplified model was created to represent an icosahedral tensegrity structure. This was done by assuming …

Back To The Future: A Case For The Resurgence Of Approximation Theory For Enabling Data Driven “Intelligence”, Michael Dominic Ciocco

Theses and Dissertations

Artificial Intelligence (AI) has exploded into mainstream consciousness with commercial investments exceeding $90 billion in the last year alone. Inasmuch as consumer-facing applications such ChatGPT offer astounding access to algorithms that were hitherto restricted to academic research labs, public focus of attention on AI has created an avalanche of misinformation. The nexus of investor-driven hype, “surprising” inaccuracies in the answers provided by AI models – now anthropomorphically labeled as “hallucinations”, and impending legislation by well-meaning and concerned governments has resulted in a crisis of confidence in the science of AI. The primary driver for AI’s recent growth is the convergence …

Multi-Agent Youtube Content Discovery Bot, Ishmam Ahmed Solaiman

Theses and Dissertations

YouTube Content Discovery Bot (YTCDB) is a cutting-edge multi-agent system designed to revolutionize the video discovery process. Traditionally, researchers have faced the arduous task of manually sorting through YouTube videos to find relevant content. YTCDB leverages an analytics-driven approach to autonomously discover videos given a seed video. Each task or process within YTCDB, such as comment scraping, gathering statistics, and collecting channel data, can be efficiently handled by one or multiple agents working in tandem. This distributed approach allows for seamless coordination and delegation of tasks, ensuring optimal performance and scalability. Insights gathered from video barcoding and content analysis of …

Epck Transfer Between Math And Science, Elise Marie Joyner

Theses and Dissertations

Generalist elementary school teachers have little time to develop enacted pedagogical content knowledge (ePCK) in all content areas. Therefore, the transfer of ePCK from one content area to another, such as between math and science, can help generalist teachers build their knowledge needed for teaching regardless of their content area strengths. This self-study examines the ePCK components and their elements present in both math and science instruction. I am a fifth-grade teacher in Utah County who has been teaching for 4 years. Math is taught daily, and science is taught approximately three times a week. The self-study includes six video …

Impact Of Operational Ladar Occlusions On Point Cloud Instance Segmentation, Andrew D. Gibson

Theses and Dissertations

Data exploitation techniques are the enabler for technological advancements in military ISR applications of ladar ISR. By identifying instances of military objects in observed scenes, point cloud deep learning models can unlock new standards of real-time information delivery to warfighters. Although current deep learning training datasets do not include real-world collection occlusions consistent with military applications, this research characterizes SPT model performance by adding occlusions to the DALESObjects dataset via artificial flyby simulations.We find that a baseline model trained on unoccluded data suffers performance degradation on both semantic and instance segmentation tasks when evaluated on occluded data, but that the …

Exporting Sysml Designs To Simulink, Drew Q. Broadbent

Theses and Dissertations

Various software systems have been developed to aid a systems engineer in evaluating system requirements, such as Dassault’s Magic System of Systems Architect (MSOSA) and MathWorks’ Simulink. Both software packages have different strengths; therefore, it is beneficial to export models from one software package to another. MSOSA provides a built-in tool that facilitates this transfer, built upon the Extension for Physical Interaction and Signal Flow Simulation (SysPhS) standard. However, the process is often unreliable and error prone and online documentation is largely lacking. This research used extensive trial and error to fill in the documentation gaps and create a method …

Collisional Broadening And Shift Of Rubidium 42D5/2 → N2F Line Shapes With Helium And Electrons, Dillon T. Nice

Theses and Dissertations

Line shapes for three rubidium 4²D_5/2 → n²F transitions were collected using pump probe spectroscopy. Broadening rates for Rb-He collisions ranged from 139–171 MHz/Torr and shift rates ranged from 113–146 MHz/Torr. Then, line shapes were collected at different alkali densities to measure electron density. Electron density had a clear “runaway ionization density threshold” around 1.5×10¹³ cm⁻³. The three transitions agreed within 2% on the observed fractional ionization when calculated using the observed Stark width but did not agree on the observed fractional ionization when calculated using the observed Stark shift. These results …

Remote Profiling Of Atmospheric Turbulence: Enhanced Resolution With Stacked Rayleigh Beacons In Tardis, Benjamin C. Wilson

Theses and Dissertations

A stacked beacon turbulence profiling methodology has been introduced and applied to have increased profiling on the Turbulence and Aerosol Research and Investigation System (TARDIS). The model was derived and demonstrated the applicability through discussion on data processing and inversion processes. The methodology was applied for two different nighttime experiments, one in Summer and one in Fall. C 2 n profiles were derived into the 1300 m altitude ranges for both nights and the summer experiment was compared to a co-located DELTA Sky measurements and LEEDR generated Climatological profiles. The comparison implied promise in the methodology with additional work needed …

Supporting Latinx Preservice Teachers For Implementing Phenomenon-Based Science To Promote Their Understanding Of The Three Dimensions Of Science Learning With An Emphasis On The Nature Of Science (Nos), Leslie Y. Garrido

Theses and Dissertations

As the adoption rate of the Next Generation Science Standards (NGSS) continues to rise in the United States, there is an increasing need for the development of high-quality instructional materials that reflect NGSS and effectively prepare teachers for its implementation. The NGSS aim to foster an understanding of three interconnected dimensions in students: science and engineering practices (SEP), crosscutting concepts (CCC), and disciplinary core ideas (DCI), along with an understanding of the nature of science (NOS). These standards envision students continuously revising their knowledge through the investigation of real-world phenomena using these dimensions. The State of Texas recently adopted and …

Identifying Barriers To Sustainability Of Dual Language Immersion Programs In Utah Schools, Jennifer Leigh Rowley

Theses and Dissertations

Dual Language Immersion (DLI) educational programming began in Utah in 2008. Within three short years, DLI programs in Utah schools had grown from 5 to 58 programs statewide. Presently, Utah now has over 301 DLI programs, including instruction in Spanish, Chinese, French, Portuguese, Russian, and German. DLI programs have many benefits and have attracted many student families. However, not much research has been done on program planning, implementation, and the sustainability of DLI programs within individual school cultures and climates. This study will examine the satisfaction level of faculty, staff, administrators, and parents at DLI schools (including how supported/understood each …

Customization Of Large Language Models For Causal Inference And Data Quality, Xingqiao Wang

Theses and Dissertations

In the burgeoning fields of artificial intelligence (AI) and natural language processing (NLP), Large Language Models (LLMs) have emerged as powerful tools for understanding complex textual data. This dissertation focuses on the novel customization of LLMs for enhancing causal inference in pharmacovigilance and improving entity matching for data quality—two critical challenges in healthcare analytics and data management. Through an in-depth exploration of encoder and decoder LLMs, this study illustrates how domain-specific customization can significantly advance the processing and interpretation of textual information. For pharmacovigilance, it demonstrates how tailored LLMs can extract causal relationships from adverse event reports, offering a new …

Foam Fraction Flow: Using Mls-Mpm With Volume Fractions To Simulate Low-Density Dry Foam, Alexander Neville

Theses and Dissertations

Foaming bubbles are a common element seen throughout both nature and man-made civilization. All types of bubbles behave variably. For example, foams float in water, splash out from buckets, and are squeezed out of hand soap dispensers. Due to their complexity and variance in behavior, they can be expensive to simulate and difficult to portray realistically. When simulating dense concentrations of bubbles with little free-flowing water, such as soap films, three variables need to be accounted for: how the fluid will move, how the bubbles will be sized, and how the bubbles will behave when they come into contact with …

Minimal Specialization: The Coevolution Of Network Structure And Dynamics, Annika King

Theses and Dissertations

The changing topology of a network is driven by the need to maintain or optimize network function. As this function is often related to moving quantities such as traffic, information, etc., efficiently through the network, the structure of the network and the dynamics on the network directly depend on the other. To model this interplay of network structure and dynamics we use the dynamics on the network, or the dynamical processes the network models, to influence the dynamics of the network structure, i.e., to determine where and when to modify the network structure. We model the dynamics on the network …

Design And Implementation Of Non-Isolated High Gain Dc-Dc Converter For Photovoltaic Application, Rajesh R

Theses and Dissertations

Fossil fuel-based power plants emit 25% of greenhouse gases and 40% of carbon emissions globally. Therefore, several countries focus on deploying RES-based electricity production (such as solar and wind). As per the International Energy Agency report, solar PV might be the lowest-cost option for generating electricity in the future. Solar energy is highly emission-free, but it is still a key challenge in procuring the maximum amount of energy from solar PV due to its non–linear characteristics. Therefore, a DC-DC converter must integrate with solar PV to increase the output voltage level. Many existing topologies exist in the literature, but the …

The Impact Of Divided Attention Tasks On Stress: Insights From Heart Rate Variability And Galvanic Skin Response, Kira Stefanie Uluave

Theses and Dissertations

This study examined the impact of divided attention tasks on stress using physiologic measures. The divided attention conditions included speech tasks (conversation or procedural discourse) and non-speech computer-based tasks (visuospatial, mathematical, language, data entry, or text editing). Participants included 60 adults divided into two groups of 30 by age. The young adult group ranged in age from 18-30 years and the older adults ranged from 55-82 years. Participants were required to perform the speech task and the non-speech task in isolation as well as a speech task performed concurrently with each of the non-speech tasks. The order of the tasks …

Dna-Templated Nanofabrication Of Metal-Semiconductor Heterojunctions And Their Electrical Characterization, Chao Pang

Theses and Dissertations

Bottom-up nanofabrication, although still in its early stages with formidable challenges, is considered a potential alternative method to address the limitations of traditional top-down techniques by offering benefits including process simplification, cost reduction, and environmental friendliness. DNA-templated nanofabrication, one of the most powerful bottom-up methods, presents an innovative way to create advanced nanoelectronics. In this approach, nanomaterials with specific electronic, photonic, or other functions are precisely and programmably positioned on DNA nanostructures from a disordered collection of smaller parts. These self-assembled structures offer significant potential for improving many fields such as biosensing, drug delivery and electronic device manufacturing. This dissertation …

Mobile Robot Path Planning Optimization Problem Using Multi- Objective Genetic Algorithm, Suresh Ks

Theses and Dissertations

Mobile Robot Path Planning problem (MRPPP) is the most prominent research area employed in different real-time environments. The research domain of robotics offers abundant opportunities for researchers in various engineering fields with different dimensions. The automation of physical movements of the robots with intelligence to make dynamic decisions for interacting with the environment opens up a lot of challenges to the research community.

A variety of approaches are employed to solve the Mobile Robot Path Planning Problem (MRPP), which is to derive a feasible collision-free path to reach the destination from the given starting point by avoiding obstacles. The solution …

Development Of Quantum True Random Number Generators And Implementation On Ibm Cloud Lab, Vaishnavi K

Theses and Dissertations

Random numbers are the lifeline of any cryptographic operation in modern computing. Quantum mechanics has the intrinsic ability to generate truly random numbers, making it an ideal alternative for scientific applications that require high-quality randomness. Quantum True Random Number Generators (QTRNGs) can yield real random data to replace random-looking periodic sequences. To construct such a random number generator, this work uses the IBM Q Experience platform called Qiskit.

This research focuses on the development and analysis of quantum-based TRNGs along with their prime characteristics. Qubits and quantum gates are the predominant sources of true randomness on quantum platforms. These inherent …

Combinatorial Studies Of Noble Metal Catalysts For Carbon Utilization, Natalie Leong Page

Theses and Dissertations

Electrocatalysts demonstrate significant promise for sustainable processes like carbon capture and generating recycled carbon fuels which are needed to achieve net zero carbon emissions. However, the commercialization of these processes is limited by several factors, one of which is the high cost of catalysts. The discovery and development of cheaper alternatives has been difficult due to constraints in experimental methodologies, scalability limitations, and a lack of understanding of reaction mechanisms. Within this dissertation is the development of a novel scanning electrochemical system and its implementation for high-throughput data generation from combinatorially sputtered material libraries. Combinatorial Pd-Au alloys were investigated for …

Existence And Uniqueness Results For Deformable Fractional Differential Equations, Sreedharan R

Theses and Dissertations

Fractional calculus and fractional differential equations are considered to be the valuable tools in modeling many phenomena in various fields of science and engineering. In the literature, many definitions for fractional order derivatives, such as Riemann-Liouville, Caputo, Jumarie, Hadamard, Weyl, and more, were developed to study the fractional differential equations that govern various phenomena in science and engineering. But these definitions have their own limitations, such as derivatives of constants, product of two functions, quotient of two functions, assertion laws, and limiting values of the derivatives at zero and negative numbers.

To overcome the deficiencies, researchers have recently introduced some …

Design And Development Of Contactless Capacitive Coupled Electrodes For Cardiovascular Signal Acquisition, Ramya Lakshmi Vs

Theses and Dissertations

In biosignal acquisition and physiological monitoring, developing advanced electrode technologies is crucial in enhancing signal quality, minimizing interference, and improving overall reliability. One such innovative approach is the utilization of capacitive-coupled electrodes, a cutting-edge solution that addresses some of the challenges associated with traditional electrodes in biosignal recording.

Capacitive-based sensors have become prominent in physiological signal measurement over the past decade. The electric field from the external affects both the human body and the electrode. The primary aim while designing the capacitive electrode is to maximize the signal-to-noise ratio. Hence, we introduce shielding and guarding techniques to improve the signal-to-noise …

Design Of An Integrated System For The Protection Of Patient Health Information In Medical Images, Manikandan V

Theses and Dissertations

Electronic clinical data such as Patient Health Information (PHI) is stored by adapting the Digital Imaging and Communications in Medicine (DICOM) standard to build an integrated healthcare system where medical images from various sources can be interlinked. The healthcare industry poses a threat from hackers, and the information fetched by hackers provides more money than the other information stolen. This thesis deals with designing and analysing encryption algorithms, key generation mechanisms, and information-hiding schemes for protecting PHI.

Sensitive multimedia information of all forms is encrypted, with a key, before storage and transmission to protect it from illegal use and manipulation …

Design And Implementation Of A Machine Learning Predictive Model For Crop Yield In Indoor Vertical Hydroponics Farming, Emna Bouzid

Theses and Dissertations

To optimize agricultural practices and address water scarcity, this work introduces Vertical Hydroponics and Machine Learning (ML) to smart agriculture, using data from Internet of Things (IoT) sensors to enhance crop production in low and medium-income countries, particularly Tunisia's, hydroponic farms. This research is an innovative approach to enhancing crop production within indoor vertical hydroponic systems by utilizing different ML predictive models and assessing their performance. This part was done at UALR while the data collection was done at MedTech, with 21 basil plants. This study compares Linear Regression, Long Short-Term Memory (LSTM), and Deep Neural Networks (DNN) for precision …

Alma Mater: Implications Of Student Mothers Not Receiving "Nourishment" From Their University, Haylie M. June

Theses and Dissertations

Student mothers, comprising over one-fifth of college students, face unique challenges balancing academic pursuits with parental responsibilities. They seek higher education to improve financial prospects and set examples for their children. However, financial burdens, including childcare costs and debt, hinder their progress. Moreover, they face role conflict and societal judgment, feeling undervalued and alienated within the university community. Despite their resourcefulness, challenges persist, emphasizing the need for institutional support. Research explores how student mothers utilize social, cultural, and financial capital to manage their roles. Interviews with thirty-nine student mothers reveal heavy reliance on individual resources but underscore the need for …

Demand Response And Peer-To-Peer Energy Trading For Residential Microgrid, Kanakadhurga D

Theses and Dissertations

Demand Side Management (DSM) is vital in handling uncertain renewable power generation and demand in a deregulated power system. The flat load profile can be obtained using the Demand Response (DR) techniques with the storage elements and proper switching. The increasing penetration of renewable-based distributed generation (DGs), batteries, and electric vehicles (EVs) supports the DR measures that facilitate utility and consumer.

This research aims to minimize the peak demand, electricity cost, and emission rate by effectively utilizing the storage with Renewable Energy Sources (RES). The first specific aim of the research objective focuses on the impact of DR implementation, DGs …

Evaluating On-Screen Edit Checks For Improving The Quality Of Healthcare Data, Emel Seker

Theses and Dissertations

This study investigates the impact of on-screen edit checks (OSECs) on reducing data entry errors in Electronic Data Capture (EDC) systems, addressing a gap in existing literature on the efficacy of OSECs. Employing a crossover experimental design, the research utilizes deidentified neonatal opioid withdrawal data from the ACT NOW CE study. Twenty participants were divided into two arms to enter data into an electronic case report form (eCRF): one arm began with OSECs enabled and the other without and transitioned to the opposite halfway through. Each participant processed 20 cases, yielding a total of 130,815 data points across 285 questions …