Digital Commons Network^™

Construct Validity Of The Cognitive Assessment System- 2nd Edition: Rating Scale: Comparisons With The Learning Behaviors Scale, Cameron Graham

Masters Theses

Cognitive assessment instruments, such as the Cognitive Assessment System Second Edition: Rating Scale (CAS2: Rating Scale), are frequently utilized by school psychologists to assess children’s cognitive abilities and psychopathology. However, the CAS2 and the CAS2: Rating Scale have little research regarding their psychometric properties. The present thesis examined the construct validity of the CAS2: Rating Scale in comparison to the Learning Behaviors Scale (LBS). Canivez and Gaboury (2013), while assessing the construct validity of the CAS, found that for the ADHD group, the LBS Attitude Toward Learning, Attention/Persistence, and Strategy/Flexibility scores and the CAS Planning and Attention scores were significantly …

Implementation Of Competency-Based Education In East Central Illinois, Cheyenne Warman-Neal

Masters Theses

The purpose of this study was to investigate the perceptions of the effectiveness of competency-based education in a rural school district located in East Central Illinois. The researcher examined the first phase of implementation of Competency-Based Education (CBE) in both middle and high schools of this school district through surveys of students and teachers, along with students’ Measure Academic Proficiency or Performance (MAP) Test scores in ELA and Math. MAP score data was obtained from 669 students for ELA Growth and 699 students for Math Growth. Survey data was obtained from 70 high school students and six teachers. Student survey …

Effects Of Perceived Procedural Justice On The Relationship Between Visa Application Outcome And Psychological Distress: Evidence From Ghanaians And Nigerians Applying For U.S. Student Visas, Harriet Swanzy-Baffoe

Masters Theses

Visa interviews are not just bureaucratic processes; they can have significant psychological effects on applicants. This study examined the impact of U.S. student visa outcomes on psychological distress among West African applicants, with particular attention to perceptions of procedural justice during the interview process. The study surveyed 203 Ghanaian and Nigerian individuals who had previously applied for a U.S. student visa. Psychological distress was measured using the Impact of Event Scale-Revised (IES-R), and perceptions of fairness were measured with a custom-developed Procedural Justice Scale. Independent samples t-tests showed that denied applicants reported significantly higher distress, although elevated symptoms were also …

Variation In Maternal Alkaloid Provisioning And Its Effects On Antimicrobial Defense In Tadpoles Of The Poison Frog Oophaga Pumilio, Erica Berent

Masters Theses

No abstract provided.

Biological Computing From Microscopic To Macroscopic Evolution, Xiaofeng Ding

Masters Theses

A unified theory from microscopic to macroscopic DNA-based biological systems is explained in terms of the rule components used when the system size is increased. Even though the eight female rules in each ruleset are provided with an equal probability of the computation-state outcomes, the initial ensemble of the computation states will exponentially settle into one dominant rule that supports the nutrition needed for growth. The remaining seven rules form into two minority groups to provide the biological characteristics of the system's growth from a micro to macroscopic evolution. The object of this study is to prove that such a …

Hyper B-Ary Representations Of A Number, Mingway Wang

Masters Theses

In this work, we summarize combinatorial, analytical, and computational properties of Stern's diatomic sequence, and do the same for a generalization of a combinatorial property of this sequence to higher bases. We then construct special ``bit conversion'' functions $g_{b}$ that allows us to find a semi-explicit formula for the generalized sequences. Lastly, we analyze some of the properties of these $g_{b}$ functions.

On Optimizing Sensor Data Collection, Processing, And Storage For Industrial Additive Manufacturing, Steven Thompson

Masters Theses

The widespread adoption of digital data management methods for transformative technologies, such as additive manufacturing (AM), within the aerospace industry is impeded by poor interoperability between AM component manufacturing processes. Moreover, data quality may be compromised due to sensor failures or other corruptions. Additionally, massive amounts of data are collected during these processes, often needing to remain accessible for decades. These storage costs can place a significant financial burden on smaller suppliers. This work aims to make digital data management methods more affordable and, therefore, approachable for smaller suppliers.

First, the design and initial implementation of an affordable and adaptable …

Augmentation Of Quality Of Service, Security, And Trust In Edge-Enhanced Iot Networks Leveraging Blockchain, Kyle Matthew Whitlatch

Masters Theses

The meteoric rise of the Internet of Things (IoT) has led to multiple architectural schemas to handle the data these devices create. Edge-enhancement is a technique where groups of IoT report to a median layer to aggregate the data before relaying to the endpoint. These edges also open opportunities to perform more operations to ensure devices are behaving properly before committing the data to long term storage. By interconnecting these edges with a technology like blockchain, it is possible to have an interconnected and responsive system to ensure the Quality of Service (QoS) of the IoT devices within the architecture …

Development Of A Method To Measure Blast Overpressure Exposure Using Orthogonal Sensor Orientations, Nicholas Kuehl

Masters Theses

Measuring and recording blast exposure to military personnel from shoulder-fired weaponry or improvised explosive devices to correlate health outcomes like mild traumatic brain injury has been a goal for many years. As such, many wearable sensors have been developed and tested for accuracy and reliability. Despite this, knowing the sensor orientation in relation to the blast source is important to fully correlate the actual personnel exposure to clinical outcomes. This research investigates whether pressures recorded at three independent orientations in the x, y and z planes can be combined to a representative pressure that is independent of orientation. Important metrics …

Power Flow Control Of The Triple Active Bridge Converter, Lauryn Reece Morris

Masters Theses

With the rise of renewable energies, electric vehicles, and microgrids, the development of power electronic topologies that can seamlessly integrate these systems into the grid is crucial. The triple active bridge is an extension of the dual active bridge topology and is capable of energy storage or renewable energy integration into a power electronic converter and thus the power grid. Consisting of three H-Bridge converters, the triple active bridge topology is an expanding area of research to meet these growing demands. With the addition of the third bridge, the system has additional nonlinear characteristics which introduce complexity in solving for …

Critical Behavior Ofthedilutedquasi-Onedimensionalquantum Ising Model, Logan Bradley Sowadski

Masters Theses

We explore the phase transition in the diluted quasi-one-dimensional quantum Ising model. We begin by giving an introduction to the Ising model followed by derivations of the properties and observables. A brief overview of Monte-Carlo simulations is also given focusing on two algorithms that make simulations for physically realizable systems possible, the Metropolis and Wolff algorithms. We finally discuss the concept of random disorder in the system and the effects this can have on the bulk of the system.

These concepts are then directly applied to a quasi-one-dimensional Ising model. Motivated by recent experiments on the spin-chain material cobalt niobate, …

Aerodynamic Design Workflow Optimization For Fsae: Advanced Cfd And Hpc Automation, Kyle Maynor

Masters Theses

This research identifies and resolves inefficiencies in the Computational Fluid Dynamics (CFD) workflow of the Missouri S&T Racing Formula SAE Team’s aerodynamic development. Key bottlenecks were found in simulation runtime, laborious simulation preparation, an overly manual simulation submission process, and unchecked mesh quality. A fully reimagined workflow was implemented with simulation parameters to adjust vehicle attitudes. From this, an automated design sweep could be executed to generate aero maps of the developing vehicle using the Design Manager Project. A Python-based submission app handles the terminal interfacing and macro editing that significantly slowed the job submission process before. Using a university …

Development Of Stalling Detection Algorithms And Operator Behavior Models For Evaluating Hydraulic Excavator Performance, Mateo Fernando Montenegro Defaz

Masters Theses

This study aims to develop a reliable algorithm for stalling detection and investigate how operator behaviors impact the truck-loading process, focusing on swing and bucket rotations. While the study of excavator digging conditions and equipment performance is well understood, describing stalling from telemetry data and the influence of operators’ behavior on overall system efficiency remain underexplored. This study seeks to: (i) develop a reliable algorithm for stall detection by analyzing key operational variables such as velocity and angles; (ii) implement statistical and machine learning techniques, specifically a Support Vector Machine (SVM) classification algorithm, to differentiate between ideal and non-ideal digging …

Design Of A Spacecraft Power System Experiment, Jay Bakulkumar Kamdar

Masters Theses

This research delves into the design, implementation, and analysis of a controlled experimental framework for photovoltaic cell characterization and its application in spacecraft power systems. Such a system was simulated and validated by benchmarking characteristics of a photovoltaic module and implementing them in a system design simulation yielding performance data for comparative analysis. A hardware setup was developed to perform IV characterization tests under steady state thermal conditions. Experiments conducted across various thermal regulation profiles helped quantify the effects of temperature on the photovoltaic performance parameters. Active cooling reduced the steady state cell temperature by 17.9% and improved the cell …

Overall Tropospheric Noise Over The St. Louis Using Isce And Fringe Processing, Maryann Lee

Masters Theses

Interferometric Synthetic Aperture Radar (InSAR) is a satellite-based technique that is used to measure various aspects such as ground deformation, earthquakes, volcanic activity, and motions of glaciers. Although the technique has proved very useful, measurements errors such as ionospheric and tropospheric noise, and deformation often cause problems with making precise measurements. InSAR is a tool used in geodesy that is used to measure the change of surface deformation over time through a series of repeated SAR acquisitions. These errors in the acquisitions occur from factors of signal decorrelation, atmospheric delays, and phase unwrapping errors that affect the accuracy and precision …

Evaluating Tropospheric Delay Modeling For Enhanced Geospatial Accuracy, Adeyinka Olaoluwa Olaseinde

Masters Theses

Interferometric Synthetic Aperture Radar (InSAR) is a vital technique for monitoring ground surface deformation across large spatial scales. However, variability in atmospheric water vapor, pressure, and temperature introduces tropospheric delays that can significantly affect measurement accuracy. These delays are often corrected using outputs from numerical weather prediction (NWP) models. RAiDER, an open-source Python package, facilitates this by estimating tropospheric delays using models such as the High-Resolution Rapid Refresh (HRRR). Previous studies have shown that weather model–based corrections can substantially reduce atmospheric noise in InSAR data but also highlight persistent residual errors, especially at spatial scales smaller than the model grid …

Multimodal Spatio-Temporal Pest Prediction In Precision Agriculture, V N S Kameswari Sri Sindhu Manchikanti

Masters Theses

Accurate and timely prediction of pest outbreaks is a cornerstone of Agriculture 5.0, which emphasizes intelligent, data-driven, and sustainable decision-making in crop production. This research presents a multimodal deep learning framework that integrates heterogeneous data sources, including weather parameters, satellite-derived vegetation indices, and static and dynamic soil attributes, to forecast pest population dynamics under varying management and ecological conditions. The proposed framework employs modality-specific deep encoders to capture distinct temporal and spatial representations from each data stream and merges them through a late-fusion architecture that learns cross-modal dependencies critical to pest emergence. The design further incorporates treatment-aware and multiclass extensions, …

Application Of Edge-Enhanced Phase Analysis To Active Microwave Thermographic Measurements, Douglas Blaine Fleetwood

Masters Theses

Nondestructive testing and evaluation (NDT&E) encompasses a range of inspection techniques that assess materials, components, and structures while maintaining their integrity and performance. Among these techniques, thermography is particularly attractive due to its non-contact imaging approach with easy-to-interpret results. Active Microwave Thermography (AMT) has emerged as a promising NDT&E inspection technique that utilizes electromagnetic energy to heat materials through dielectric and magnetic absorption, with subsequent infrared imaging used to detect subsurface defects. While AMT offers significant advantages including material-specific heating optimization and lower power requirements compared to conventional thermographic methods, the technique faces a persistent challenge related to the thermal …

A Text-Linguistic Analysis Of Deliberative Discourse In Hebrew With Review Of The Lxx Translation, Timothy C. Lang

Masters Theses

This thesis intends to demonstrate that linguistics, specifically the text-linguistic (TL method), may be practically applied to biblical translation and interpretation. Consequently, one may use text-linguistics to discover the biblical author’s intended meaning expressed through the structure of the text. Foundationally, the work of Robert Longacre and Kenneth L. Pike is applied. Functionally, this thesis tests the process described in the dissertation of Ewell Ray Clendenon. While the word test is used, the test is not intended to validate or invalidate the TL method. Rather, the test is analogous to that of a mathematician whereby a proof test is applied …

Co2 Capture Utilizing Novel Deep Eutectic Solvents: Modeling, Process Simulation, And Cost Analysis, Nazneen Aspi Kolah

Masters Theses

One of the most pressing global issues that humans face is climate change caused by anthropogenic greenhouse gas emissions, especially carbon dioxide (CO2). Conventional solvents utilized for CO₂ capture, such as amines, are widely used in industrial applications due to their high CO2 absorption capacity. However, deep eutectic solvents (DES) have attracted a lot of academic attention recently due to their biodegradability and low energy for regeneration.

This research serves as a foundational proof-of-concept for using DESs in industrial gas separation processes. Five DES are evaluated for CO2 removal from flue gases. Aspen Plus is utilized to simulate the performance …

A Novel Interpretation Of Average Run Length For Assessing The Performance Of Control Charts, Gonçalo Sousa

Masters Theses

The Average Run Length (ARL) is a performance measure of Control Charts widely used within Statistical Process Control. In this study we propose a new approach for the computation of the ARL that is based on a novel interpretation of out-of-control signals produced by a Control Chart. Specifically, out-of-control signals used to calculate traditional ARLs may correspond to Type I errors and may not reflect a Control Chart’s true performance. To compensate for this issue, for Shewhart and EWMA charts, constraints are applied to the calculation of ARLs so that only out-of-control signals that occur when the corresponding statistic is …

Computational Modeling In A Calculus-Based Physics Lab: Students’ Problems And Successes In Physics 2060, Abigail Sophia Flowers

Masters Theses

In the past few decades, computational modeling skills have become essential for students who want to pursue careers in physics or engineering. This issue of how to incorporate these skills into students' learning has become an important one because students in these degrees are already required to take several cognates outside of their chosen major. In 2018, Western Michigan University’s physics department decided to take on this issue by reformatting their introductory calculus-based physics labs to include computational modeling within the labs. The labs were first run in the Fall of 2018 and then were improved in spring 2019. When …

English Literacy Rates Across The United States, Hailey Reisinger

Masters Theses

Literacy rates among students in the United States have been at an all-time low for the last several years. There have been many factors to this including but not limited to, the COVID-19 pandemic, technology, teacher shortages, and chronic absenteeism. This study looks into the literacy rate decline, the mentioned factors, and what is being done to improve the literacy proficiency among students across the country. This study also looks at what is specifically being done for school divisions across the Commonwealth of Virginia, focusing on one school in particular, Culpeper Middle School.

The Need For Accurate [And Respectful] Depictions Of Mental Illness In Fiction, Jacequlyn L. Mills

Masters Theses

This thesis seeks to address the ongoing misrepresentation of mental illness in popular media, specifically within film, television, and literature. The power of the media is instrumental in public perception, and the ongoing negative misinformation and inaccuracy of mental illness those who are affected by it in media is instrumental in spreading harmful stereotypes and stigma. This affects not only the way that the general public views mental illness but also the way those with mental illness view themselves as well as their desire to seek help. I use these forms of media to showcase both the negative and positive …

Effects Of Microplastic Biofilms On An Anthropogenically Impacted Suburban Lake, Paris M. Velasquez

Masters Theses

Plastics have been observed in every location on the planet, and their prevalence in the environment is due in part to their strong resistance to degradation. Inland lakes are susceptible to plastic pollution by highway runoff, which contains plastic fragments of brake pads, car tires, litter, and road paint. These plastics eventually enter freshwater environments and degrade into microplastics (

How Music Genres Affect Test Anxiety Among Third-Grade Elementary Students, Amy Summersett Ardovino

Masters Theses

This descriptive case study investigates the effects of classical, rap, electronic, and jazz genres of music played during a test administered to third-grade elementary students. Many studies focus on three main genres, such as classical, rock, and popular music, and not new, emerging popular music genres. With learning performance being a primary concern in education, it is beneficial to ascertain if different music genres affect anxiety in third-grade elementary students. Third-grade students serve as the population for this study; the sample involves 123 third-grade students from Chelsea Park Elementary School. This study implemented the State-Trait Anxiety Inventory for Children (STAI-CH) …

Scientific Authorial Voice: Incorporating Explicit Instruction In Undergraduate Chemistry Courses, Emma L. Becker

Masters Theses

The effective development of undergraduate chemistry students for success in professional and academic careers involves emphases on content knowledge and on writing and authorial voice. Unfortunately, most undergraduate chemistry instruction wholly neglects writing and authorial voice instruction in favor of content knowledge instruction. This results in the development of chemistry students who know the content of their field but not how to communicate that knowledge or how to enter the chemistry discourse with their own research. This integrative review identified 71 pieces of scholarly literature and synthesized these sources to reconceptualize writing instruction in undergraduate chemistry and propose explicit instruction …

Technology-Based Music Instruction, Alfredo Bedolla

Masters Theses

Many beginning band and choir students lack proficiency in basic sight-reading skills. A significant learning curve exists between the late elementary and early middle school years regarding music reading competency. This study aims to ascertain the effectiveness or ineffectiveness of music notation apps such as Prodigies, Yousician, and Noteflight. The study will use a mixed-method approach. To obtain quantitative data, the study will use an experimental approach to test the effectiveness of digital notation apps on student learning by utilizing a survey. The working hypothesis is that digital notation apps will improve sight-reading skills by using the tools present in …

Teaching Instruments To Deaf And Hard Of Hearing Students, Angelina Kim

Masters Theses

This curriculum project provides information regarding teaching musical instruments to Deaf and Hard of Hearing (DHH) students in elementary school settings. Previous studies have addressed teaching DHH students reading, writing, and general music, but not much on implementing musical instruments for DHH students. In this study, the researcher will have extensive document reviews on the importance of music education for DHH students and identify the ways to teach DHH students about instrument playing. Furthermore, the researcher will prepare lesson plans teaching musical instruments for DHH students in elementary music classrooms and add more data for analysis. The results of this …

Development And Optimization Of A 1-Dimensional Convolutional Neural Network-Based Keyword Spotting Model For Fpga Acceleration, Trysten E. Dembeck

Masters Theses

Spoken Keyword Spotting (KWS) has steadily remained one of the most studied and implemented technologies in human-facing artificially intelligent systems and has enabled them to detect specific keywords in utterances. Modern machine learning models, such as the variants of deep neural networks, have significantly improved the performance and accuracy of these systems over other rudimentary techniques. However, they often demand substantial computational resources, use large parameter spaces, and introduce latencies that limit their real-time applicability and offline use. These speed and memory requirements have become a tremendous problem where faster and more efficient KWS methods dominate and better meet industry …