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The Influence Of Family-School Communication On Junior High School Students’ Academic Success, Stephen Junior Amoah
The Influence Of Family-School Communication On Junior High School Students’ Academic Success, Stephen Junior Amoah
Masters Theses
This study examines the influence of family-school communication on students' academic success in the context of Ghana, with a particular focus on Junior High School (JHS) students. While existing research emphasizes the importance of family involvement in educational outcomes, limited studies explore how family-school communication directly affects academic success in Ghana. By using a mixed-methods approach, the study combines quantitative and qualitative data collection. The quantitative component includes an online survey distributed to JHS graduates, assessing the frequency, impact, methods, and barriers of communication between families and schools, as well as their perceived effect on academic performance. The survey includes …
Computation Of Natural Relative Trajectories In The Elliptic Restricted Three-Body Problem, Dane Huck
Computation Of Natural Relative Trajectories In The Elliptic Restricted Three-Body Problem, Dane Huck
Masters Theses
"Humankind’s presence in deep space is certain to increase throughout future decades. Future missions will continue to exploit the complex dynamics making use of liberation point orbits. Along with this trend is the rise of small satellites ("small sats") and fractionated spacecraft in general. Compared to traditional monolithic spacecraft, small sats can often have higher maneuverability, be a fraction of the cost, and be more expendable in nature. The growing interest in these two areas drives the need for improvements in the area of relative motion in deep space. One obvious use of small sats in deep space is for …
Evaluation Of The Impact Of Secondhand E-Cigarette Aerosols On Ros-Mediated Alterations Of Epigenetic Events: Implications For Copd Pathogenesis And Assessment Of The Efficacy Of Cold Atmospheric Plasma In Degrading Organophosphate Pesticides On Kevlar Materials, Ta-Chun Lin
Masters Theses
"We explored 1) the toxicological impacts of e-cigarette aerosols and 2) the decontamination efficacy of Cold Atmospheric Plasma (CAP) technology over organophosphates. In examining the effects of firsthand and secondhand e-cigarette aerosol exposure on A549 and BEAS-2B lung cells, we observed significant cytotoxicity, increased ROS levels, and epigenetic modifications, including heightened DNA methylation and downregulation of histone deacetylases (HDACs). These molecular alterations may contribute to chronic respiratory conditions, such as COPD, underscoring the health risks of e-cigarette exposure.
We investigated CAP’s effectiveness in degrading organophosphate pesticide (OP) residues on fabric surfaces, revealing that CAP treatment effectively decomposes OPs such as …
Automated Generation Of Malware Metadata Signatures, Joel Schott
Automated Generation Of Malware Metadata Signatures, Joel Schott
Masters Theses
In advanced, targeted malware attacks, the custom software tools used to package and send malicious files and messages can lead to distinctive metadata values that facilitate creation of a malware metadata signature. Manual creation of these signatures requires expert domain knowledge and is time-consuming and error-prone. Our goal is to automate this process. We created several methods of automatically generating malware metadata signatures for ZIP files and emails. We evaluated these methods by comparing signatures generated with these methods to existing expert-created signatures. We found automated methods for ZIP files and emails that are capable of generating metadata signatures that …
Fetal Acidosis Prediction Using Attention Enhanced Convolutional Neural Networks, Anusha Adhikari
Fetal Acidosis Prediction Using Attention Enhanced Convolutional Neural Networks, Anusha Adhikari
Masters Theses
This study explores the integration of spectral mixtures of fetal heart rate (FHR) and uterine contraction (UC) signals to enhance the prediction of fetal acidosis, utilizing the CTU-CHB dataset. Several classification models were trained using two distinct oversampling techniques and inputs, demonstrating that models incorporating spectral mixtures significantly outperform those using raw signals. These models, particularly when combined with convolutional neural networks (CNNs) and attention mechanisms, achieved a notable F1-score of 0.98, with the highest model achieving an area under the Receiver Operating Characteristic (ROC) curve of 0.95. The research employs a variety of techniques including short-time Fourier transform and …
Emi Mitigation, Material Characterization, Transformer Equivalent Circuit Modeling, Reza Vahdani
Emi Mitigation, Material Characterization, Transformer Equivalent Circuit Modeling, Reza Vahdani
Masters Theses
Modern high-frequency electronic systems demand precise characterization and modeling techniques to ensure signal integrity and electromagnetic compatibility. This thesis presents three core studies focused on real-world challenges in high-speed and power electronics: EMI mitigation using 3D printed absorbers, wideband liquid dielectric characterization, and accurate transformer modeling.
The first study demonstrates a targeted approach to mitigating electromagnetic interference (EMI) in a commercial router. By using holography imaging to identify radiation hotspots, custom absorber structures were designed with commercially available materials, fabricated via 3D printing, and applied directly to emission sources. Radiated emission tests in a reverberation chamber showed up to 9 …
Ground Testing Of Cryogenic Environments In Vacuum Conditions, Lucas A. Scott
Ground Testing Of Cryogenic Environments In Vacuum Conditions, Lucas A. Scott
Masters Theses
The environment in the vacuum of space is unforgiving and ever-changing. Not only facing the lack of a protective atmosphere, but powerful radiation and extreme temperature ranges as well. Equipment destined for space must be hardened to withstand them. Just launching satellites that are theoretically able to survive these conditions is unfeasibly costly in the event of failure. Because of this, spacecraft must be tested in a simulated environment that can match the harsh climate in space. Therefore, it is the goal of the Gas and Plasma Dynamics Lab's (GPDL) to test and prove specific methods of recreating these conditions. …
Overpressure Waveform Comparison Of High Explosive, Methane, And Coal Dust Explosions, Frank James Schott
Overpressure Waveform Comparison Of High Explosive, Methane, And Coal Dust Explosions, Frank James Schott
Masters Theses
Methane and coal dust explosions remain a leading cause of catastrophic mining accidents, making it critical to understand their overpressure characteristics for better hazard modeling, mitigation, and regulation. Although high explosives (HE), flammable gases, and dusts have been studied separately, direct waveform comparisons in identical environments are rare. This study addresses that gap by comparing overpressure waveforms from HE, methane-air mixtures, and coal dust explosions to assess differences in peak pressure, impulse, rise time, and phase duration. Twenty-seven tests were conducted using standardized instrumentation and sensor arrays. Results showed that HE generated the highest peak pressures with short positive phases …
Frequency-Tracker And Power Supply For Piezoelectric Lunar Dust Removal Actuator, Praneeth Uddarraju
Frequency-Tracker And Power Supply For Piezoelectric Lunar Dust Removal Actuator, Praneeth Uddarraju
Masters Theses
"This work presents a reconfigurable phase-locked loop (PLL)-based control system for the resonant excitation of piezoelectric actuators aimed at automated removal of particulate contaminants from photovoltaic (PV) surfaces—particularly in extraterrestrial environments such as the lunar surface. Regolith or lunar dust buildup on solar panels is a serious hazard to the effectiveness of energy harvesting on extended missions. By using high-frequency structural excitation and inertial forces the suggested system removes surface impurities. Tunable Sallen-Key low-pass filters for reliable feedback conditioning are used in conjunction with a digitally implemented PLL on an FPGA (XLR8 platform) to precisely lock the drive frequency to …
Performance Of Standard Medical Mllms On Ecg Image Data, Prisha Anil
Performance Of Standard Medical Mllms On Ecg Image Data, Prisha Anil
Masters Theses
This work presents a structured benchmarking study of multimodal large language models (MLLMs) applied to electrocardiogram (ECG) interpretation tasks. We evaluate three representative architectures: MedGemma, HuatuoGPT-Vision, and LLaVA-Med, across progressive experimental stages involving text-only structured prompt normalization, text–image fusion with ECG plots, and full multimodal fusion incorporating time-series signals. A standardized five-section cardiology prompt was designed to enforce consistent output structure and SCP-code alignment, enabling reproducible metric computation across models. Quantitative evaluation using BERTScore, token-level F1, and diagnostic accuracy demonstrates that HuatuoGPT-Vision achieves the highest semantic and diagnostic alignment, while MedGemma exhibits superior formatting stability and reproducibility. In contrast, LLaVA-Med …
The Effects Of Explicit And Systematic Phonics Instruction On Student Achievement, Teagan Dougherty
The Effects Of Explicit And Systematic Phonics Instruction On Student Achievement, Teagan Dougherty
Masters Theses
The purpose of this study was to examine how explicit and systematic phonics instruction impacts student achievement, and to explore how instructional strategies are effectively implemented in the classroom. To guide the study, two research questions were developed: (1) How does explicit and systematic phonics instruction impact student achievement in vowel teams and r-controlled vowels? (2) What are teacher perceptions of explicit phonics instruction and how are they implemented in the classroom? This was a mixed-methods study. Data was collected from 18 second-grade students and one classroom teacher. Quantitative data was gathered using weekly pre and posttests addressing various phonics …
Investigating The Pathways Between Social Factors, Physical Activity, And Mental Health On Cognitive Efficiency In Young Adults, Emma Hurston-Gates
Investigating The Pathways Between Social Factors, Physical Activity, And Mental Health On Cognitive Efficiency In Young Adults, Emma Hurston-Gates
Masters Theses
Cognitive health is important across the life span and cognitive functions, particularly executive functions, are positively correlated with subjective well-being and success in adulthood (Loprinzi, 2013). The present study aimed to investigate how social factors, mental health, and physical activity impacts cognition in young adults. Young adults aged 18-30 (N = 134) answered questionnaires regarding levels of physical activity, social support, social participation, anxiety, depression, and overall well-being. Participants completed Trail Making Tasks A and B to measure their cognitive efficiency (i.e., combined processing speed, psychological flexibility, visual search, and attention). Across all samples, one of the most consistent …
The Impacts Of International Students’ Membership In Co-National Student Organizations, Krofaa Otuo-Srebour
The Impacts Of International Students’ Membership In Co-National Student Organizations, Krofaa Otuo-Srebour
Masters Theses
This study explores the impact of international students' membership in co-national student organizations on their adjustment to U.S. higher education institutions. Despite significant literature on the psychological predictors of adjustment, there is a gap in examining the social support gained through non-academic student organizations composed of individuals from the same country or region. Using a qualitative phenomenological approach, the study investigated challenges international students face in the U.S. and how culturally specific groups impact their adjustment. The findings underscore the importance of co-national student organizations in supporting international students’ adjustment processes and suggest practical implications for university administrators to enhance …
Vertical Transfer Students: Experiences With Orientation Programs And Transition, Gulmira Abdyrahmanova
Vertical Transfer Students: Experiences With Orientation Programs And Transition, Gulmira Abdyrahmanova
Masters Theses
Community college students are a growing student population in the United States, however their transition to four-year institutions remains complex and students face different challenges. This study explores the student’s orientation and transition experiences. While academic integration was generally positively supported by articulation agreements, personalized academic advising, and family support many transfer students reported difficulties with social integration, impacting their sense of belonging. The findings suggest that successful transfer requires three stages of support as pre-transfer planning; orientation and initial transition; and continued personalized support throughout the first semester. Recommendations include stronger partnerships between institutions, more individualized advising, and ongoing …
Construct Validity Of The Cognitive Assessment System- 2nd Edition: Rating Scale: Comparisons With The Learning Behaviors Scale, Cameron Graham
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 …
Mental Health Supports In The Public Schools, Elizabeth Walters
Mental Health Supports In The Public Schools, Elizabeth Walters
Masters Theses
Increasingly, young students experience mental health challenges, some as early as first grade. With mental health challenges reaching students at younger ages, teachers and school staff need to be ready to assist their students in need. Roughly a third of young people experience mental health challenges, and 70-80% are unable to receive mental health services. As a large portion struggle in school with mental health concerns, teachers and school staff are likely to be the first to see any potential signs of struggle. When teachers notice signs of a student struggling with mental health, the staff often do not know …
Implementation Of Competency-Based Education In East Central Illinois, Cheyenne Warman-Neal
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 …
Biological Computing From Microscopic To Macroscopic Evolution, Xiaofeng Ding
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 …
Improving The Operator-Swarm Dynamic Under Mental Fatigue Constraints In Search And Rescue Operations, Jordan Morrow
Improving The Operator-Swarm Dynamic Under Mental Fatigue Constraints In Search And Rescue Operations, Jordan Morrow
Masters Theses
"Human-robot applications that allow for work to be done remotely are largely dependent on the lassitude of the operators. The exhaustion of these operators is a result of work completion and duration. Previous research attempts to evaluate the impact on reaction by quantiying human weariness. This paper examines how human weariness affects the human-robot dynamic in UAV-assisted search and rescue missions. An explanation of the connection between mental exhaustion and operator responsiveness over prolonged durations is provided by the search and rescue operations using UAV swarms (SAROUS) model. Through the use of artificial intelligence, SAROUS is modernized. This allows the …
Advanced 3d Lidar-Based Systems For Urban Traffic And Pedestrian Monitoring: Integrating Elevated Lidar, Data Collection, And Deep Learning For Precise Detection And Activity Classification, Nawfal Guefrachi
Masters Theses
"Accurate and real-time monitoring of urban traffic and pedestrian activities is crucial for intelligent transportation systems (ITS) and smart cities. Traditional camera-based methods struggle with issues like lighting and privacy. This research leverages advanced three-dimension light detection and ranging (3D LiDAR) technology and computational frameworks to address these challenges, providing transformative solutions for urban traffic management and pedestrian safety. By strategically deploying elevated LiDAR sensors, detailed 3D point cloud data is captured, enabling precise monitoring of urban environments. Enhancements to LiDAR-based frameworks, such as fine-tuning the Point Voxel Region-Based Convolutional Neural Network (PV-RCNN), improve the detection of vehicles and pedestrians …
Bond Behavior Of Magnesium Potassium Phosphate Cement (Mkpc) Coating For Steel Reinforcement, Eric Williams
Bond Behavior Of Magnesium Potassium Phosphate Cement (Mkpc) Coating For Steel Reinforcement, Eric Williams
Masters Theses
"This research investigates the bond behavior of magnesium potassium phosphate cement (MKPC) coated mild steel deformed bars in conventional concrete and concrete repair materials. For typical steel reinforcement in concrete, a thin “passive layer” develops around the reinforcement, which protects the reinforcement from corrosion. The concrete carbonates over time, reducing the protection of the passive layer and allowing chlorides, which corrode the reinforcement, to penetrate at an increasing rate. In some cases, to combat this corrosion, a protective layer is added to the reinforcement prior to installation. Common protective layers include epoxy coatings or zinc galvanization. MKPC is a novel …
Effects Of Climate Change On Fungal Diversity And Function In Streams, Syeda Tasfia Imam
Effects Of Climate Change On Fungal Diversity And Function In Streams, Syeda Tasfia Imam
Masters Theses
"This study investigated the impact of climate change, particularly drought, on leaf decomposition and associated fungal and macroinvertebrate communities in freshwater ecosystems. With climate change, streams may experience altered hydrology, leading to shifts in community composition and biogeochemical processes. Fungi decompose organic matter, facilitate nutrient cycling, and support food webs. However, drought can disrupt these processes by reducing water availability, causing declines in fungal diversity and activity. I examined leaf breakdown and associated biota in 13 stream sites across varying hydrologic conditions, from perennial to ephemeral flow patterns. Flow duration varied during the 8-week study. Leaf breakdown was significantly related …
Transfection Of Ionizable Lipid Nanoparticles On Raw 264.7 And Mda-Mb-231, Lavanya Bhargava
Transfection Of Ionizable Lipid Nanoparticles On Raw 264.7 And Mda-Mb-231, Lavanya Bhargava
Masters Theses
"This thesis investigates the preparation, characterization, and transfection efficiency of various ionizable lipid nanoparticles (LNPs) formulated for the delivery of mRNA encoding enhanced green fluorescent protein (EGFP) in RAW 264.7 macrophages and MDA-MB-231 breast cancer cell lines. The ionizable cationic lipid studied are ALC-035, C12-200, C14-4, PPZ-A10, DLin-MC3-DMA. The study addresses the need for effective gene delivery systems to provide a safe and versatile platform that protects and transports nucleic acids into target cells. LNPs were synthesized using microfluidic mixing methods, incorporating lipid components such as the cationic lipids, DSPE, DOPE, cholesterol and PEG lipids to achieve controlled particle sizes, …
Hyper B-Ary Representations Of A Number, Mingway Wang
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.
Modeling Of Slot-Backed Microstrip Line For Emi Applications, Jongsuk Hyun
Modeling Of Slot-Backed Microstrip Line For Emi Applications, Jongsuk Hyun
Masters Theses
Radiated emissions from printed circuit boards (PCBs) are a significant concern in electromagnetic interference (EMI) and radio frequency interference (RFI). Shielding cans are widely used to mitigate these emissions but evaluating requires accurate characterization of equivalent noise sources. Slot-backed microstrip antennas are employed for this purpose due to their near-zero height, low parasitic radiation, and PCB-compatible structure, offering a practical alternative to conventional loop antennas. This paper presents a physics-based analytical model that integrates both the discontinuity effects and radiated characteristics of slot-backed microstrip structures within a unified circuit framework. An analytical expression for the dipole moment is proposed based …
Characterization Of The Microstructural Changes Of Zrb2 Under Heavy Ion Irradiation For Molten Salt Reactor Applications, Narrie Loftus
Characterization Of The Microstructural Changes Of Zrb2 Under Heavy Ion Irradiation For Molten Salt Reactor Applications, Narrie Loftus
Masters Theses
A primary challenge in finding suitable materials for Molten Salt Reactors (MSRs) lies in identifying those that concurrently exhibit high corrosion resistance, stability at elevated temperatures, resistance to radiation, and chemical compatibility with molten salts. 11B-enriched zirconium diboride (ZrB2) is a potential candidate for applications in MSRs due to its unique combination of properties, including high melting point, high thermal conductivity, and resistance to corrosion in harsh environments. This ultra-high temperature ceramic (UHTC) has exhibited stability under extreme conditions, making it an attractive material for components within MSRs.
The microstructural response of ZrB2 under heavy ion irradiation …
On Optimizing Sensor Data Collection, Processing, And Storage For Industrial Additive Manufacturing, Steven Thompson
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
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 …
System Design For Highly Accurate And Efficient Target Detection In Triaxial Testing, Qingqing Fu
System Design For Highly Accurate And Efficient Target Detection In Triaxial Testing, Qingqing Fu
Masters Theses
Accurate and automated recognition of coded targets is crucial for high-precision photogrammetry-based measurements in triaxial testing. Traditional recognition methods, including those based on deep learning and table decoding, often struggle with issues such as perspective distortion, rotation, and variable lighting, leading to unreliable results. While deep learning approaches offer some improvements, they remain computationally intensive and sensitive to environmental factors.
This thesis introduces an innovative system that replaces deep learning algorithms with a blob analysis-based method for efficient and robust recognition of coded targets. The system also employs newly designed solid points of varying sizes and patterns, eliminating the need …
Gfrp Reinforced Bridge Barriers: Experiment Testing, Manish Kumar Gadhe
Gfrp Reinforced Bridge Barriers: Experiment Testing, Manish Kumar Gadhe
Masters Theses
This study focused on evaluating the performance of concrete bridge barriers reinforced with Glass Fiber Reinforced Polymer (GFRP) compared to those reinforced with conventional mild steel. Four full-scale barriers were constructed, three using GFRP bars as the reinforcement and one with mild steel reinforcement. These were cast on two concrete slabs to ensure consistent support conditions. The use of GFRP aims to address durability concerns associated with steel reinforced concrete (RC), particularly corrosion of these bars in harsh environments.
To simulate real-world impact scenarios, a weighted cart was launched at each barrier using a guided sled system. Sensors, including load …