Digital Commons Network^™

Integrated Evaluation Of Airtightness, Acoustics, Thermal Performance, And Life-Cycle Carbon Emissions In Code-Compliant Wood-Framed And Thin-Shell Concrete Dome Residential Structures, Eduardo Ibanez Vasquez

Theses and Dissertations

The residential construction industry faces increasing demands for energy-efficient and sustainable housing solutions. In the U.S., residential buildings significantly contribute to energy consumption and greenhouse gas (GHG) emissions, highlighting the need for enhanced building envelope performance. This study compares four residential structures: a traditional code-compliant wood-framed structure built in 1970, a traditional code-compliant wood-framed structure built in 2016, a modular code-compliant wood framed structure built in 2024, and a thin-shell concrete dome built in 2022. The analysis focuses on airtightness, acoustic insulation, passive thermal performance, and life-cycle carbon emissions, including both embodied (cradle-to-gate) and operational energy use. Field-based methods included …

Varieties And Domains: A Syncretic Synthesis Of Law And Justice In India ( Including A Special Emphasis On Alternate Dispute Resolution), Amrith Bhargav B

Theses and Dissertations

From the abstract idea of Dharma that enabled the practice and sustenance of local custom and usage, law was defined without verbiage but in meanings and understandings. In the colonial age, law was constantly being defined and codified not just textually, but through projects of economies of politics, knowledge and power in a way that their transactional metrics produced social and cultural genres that changed India forever. In that state of play, lawyers and their associated players contributed to the emerging culture of power and dominance with their tool of making the law through cases and mainstreamed the colonial legal …

Source Characterization From Near-Field Acoustic Intensity On Moving Launch Vehicles, Carson F. Cunningham

Theses and Dissertations

Rocket launches generate extremely high acoustic levels, particularly in the low-frequency range, posing risks to both launch vehicle integrity and surrounding infrastructure. This thesis investigates the use of near-field acoustic intensity measurements to localize sound sources on moving launch vehicles, with a focus on characterizing source behavior during the early phases of liftoff. Using data from the Antares 230 NG-19 mission, acoustic pressure was recorded at multiple stations surrounding the pad, and the Phase and Amplitude Gradient Estimator (PAGE) method was employed to compute intensity vectors as a function of frequency and time. Signal processing parameters were systematically evaluated, including …

Personalized Emoji Prediction Framework Using Personality, Emotion, And User Preferences, Mariam Lotfy Gaafar

Theses and Dissertations

Emoji prediction plays a vital role in digital communication by enriching text with personality, individual style, and emotional tone. However, existing frameworks primarily rely on user-generated text combined with statistical or language models, often overlooking the importance of individual user traits and contextual information. Recent research highlights that integrating user-specific features, such as historical usage patterns and emotional context, can significantly improve emoji prediction accuracy. Building on these insights, we propose a comprehensive emoji prediction framework that incorporates user history, personality traits, and real-time emotional context. We leverage the Pan17 corpus, which contains a sufficient number of posts per user, …

A Predictive Framework For Early Detection And Personalised Monitoring Of Parkinson’S Disease Using Artificial Intelligence And Large Language Models, Priyadharshini S

Theses and Dissertations

Parkinson’s Disease (PD) is a multifaceted and progressive neurodegenerative disorder that presents a spectrum of motor and non-motor symptoms. Early and accurate diagnosis is essential for effective disease management and improved patient outcomes, yet remains clinically challenging due to symptom overlap and diagnostic limitations. This thesis proposes a comprehensive and interpretable artificial intelligence (AI)-driven diagnostic framework that aims to transform the early detection, personalised monitoring, and treatment recommendation process for PD. The proposed solution integrates deep learning, radiomics, evolutionary optimisation, and large language models (LLMs), ensuring a highly accurate and clinically adaptable system.

The research begins by analysing T2-weighted 3D …

Fresh And Mechanical Properties Of Self-Compacting Concrete Using Kaolin Limestone Blend And Hybrid Slag Blend, Selesca Devi S

Theses and Dissertations

This study examined the consequences of mono and hybrid natural fibers on the mechanical and fresh properties of self-compacting concrete (SCC), in response to the growing demand for environmentally friendly building materials. In mono fiber, Abaca fiber (AF) at 0.25% and 0.5% dosage, basalt fiber (BF) from 0.25% to 2% at 0.25% increments, and sisal fiber (SiF) from 0.25% to 1.5% at 0.25% increments were evaluated through slump flow diameter, T500, compressive and tensile strength. AF at 0.25% ensured good flow with 6.6% and 4.16% higher compressive and tensile strength over 0.5% AF. SiF up to 1% improved strength but …

Advancing Eye-Gaze Writing Systems With Computer Vision, And Dynamic Text Suggestions, Walid Abdallah Shobaki

Theses and Dissertations

Eye gaze writing, a novel interaction modality, has the potential to revolutionize communication for individuals with limited mobility. In our research, we investigated the deep learning algorithms efficiency for real-time eye gaze writing. We have compared many algorithms' performance in many computer vision areas, such as object detection in which we used first YOLOv8, the second algorithm SSD, and the third algorithm is Faster R-CNN, the second computer vision area is the image segmentation in which we used DeepLab and U-Net, and the last computer vision area is self-supervised learning we have used SimCLR algorithm. By evaluating these models on …

Design & Development Of Efficient Biometric Authentication And Key Agreement Schemes For Wireless Body Area Network, Aarthi S

Theses and Dissertations

Wireless Body Area Networks (WBANs) play a vital role in continuous health monitoring, where sensitive biometric and physiological data must be protected from privacy breaches and emerging quantum-based threats. Conventional security mechanisms are often inadequate due to resource constraints, scalability issues, and vulnerability to advanced attacks. To address these challenges, this research proposes a lightweight, scalable, and future-proof security framework tailored for WBAN applications, focusing on secure communication, privacy preservation, and quantum resilience.

An anonymous Certificate-Based Signcryption–Mutual Authentication and Key Agreement (CBS-MAKE) protocol is introduced to secure extra-body communications while ensuring patient anonymity. The protocol integrates Elliptic Curve Cryptography with …

A Machine Learning Approach To Quantitative X-Ray Diffraction Analysis, Spencer Snow Chandler

Theses and Dissertations

X-ray Powder Diffraction (XRPD) is a powerful method in material sciences that gives insights into the atomical and crystallographic structure of a material, revealing information into the material's properties and suitability for industrial and scientific application. In geology, XRPD analysis is frequently leveraged to identify and quantify the present mineral phases in an unknown mixture. Despite it's widespread use, interpreting XRPD patterns requires highly-specialized knowledge, making the analysis largely dependent upon the background experience of the analyst. To assist experts, computational methods have been developed over the years. Some of these techniques involve fitting diffraction patterns using pseudo-Voigt functions, which …

Math 112 At Byu: Student Averages On Various Exam Questions, Makayla Mcleod

Theses and Dissertations

In Math 112 at BYU, exams play a crucial role in evaluating students' understanding of the course content. Traditionally, these exams are a combination of multiple-choice and free-response questions, with the latter serving as a means to assess a student's thought process while solving problems. Will students perform as well on a multiple-choice exam? Or will students' averages be higher on free-response exams? In this thesis, we test 7 hypotheses related to these questions to provide more insight into the answer. We examine other factors that may affect students' averages, including various Calculus 1 topics, modes of questioning, and difficulty …

The Construction Of Ph- And Temperature-Responsive Drug Delivery Systems Based On Metal Organic Frameworks And Phase Change Materials, Wanying Wei

Theses and Dissertations

In this study, core-shell microparticles were synthesized using coaxial electrospray techniques, with Zeolitic Imidazolate Framework-8 encapsulating either Rhodamine B or Doxorubicin in the core. ZIF-8 is a material well regarded for its effectiveness in drug delivery systems. Phase change materials are composed of a 4:1 mixture of lauric acid and stearic acid in the shell. The PCM chosen has a melting point close to physiological body temperature. The structural morphology and thermal stability of the microparticles were confirmed using Scanning Electron Microscopy, X-ray Diffraction, Differential Scanning Calorimetry, Thermogravimetric Analysis, and Infrared Spectroscopy. The release of the drug was influenced by …

High- Speed Wireless Interference Separation Based On Photonic Deep Learning Accelerators And Three-Dimensional Image Reconstruction For Medical Applications, Taichu Shi

Theses and Dissertations

This dissertation is centered on fast wideband interference management through advanced photonic signal processing and hybrid communication architectures. The core of this work is based on an optical pulse sampling technique proposed for photonic blind source separation (BSS) to recover wideband signals from their sub-Nyquist samples. With the use of ultra-short optical pulses to obtain statistically representative samples, this method retains important statistical properties of the signals while significantly reducing constraints imposed by analog to digital conversion and digital signal processing. Building on this foundation, we further apply the photonic BSS system within a hybrid free space optical (FSO) and …

Novel Piperidone And Bispidine Derivatives: A New Approach In Cancer Therapy, Lereen Khaled Youssry

Theses and Dissertations

Cancer remains the second leading cause of death worldwide. As a result, scientists have been trying to find novel therapeutic approaches that target specific metabolic pathways selective to tumor cells. In this study, two novel piperidone and bispidine derivatives, organic molecules that target polyamine metabolism, were synthesized, and their potential cytotoxic, antioxidant and anti-inflammatory effects were investigated. Polyamines are naturally occurring metabolites that were reported to be in excess at cancer cells and were accounted for tumor proliferation, invasion and metastasis. Accordingly, the novel piperidone and bispidine derivatives were expected to disrupt tumor growth and progression via up-regulation of key …

Investigation Of The Isbr Method With A Quad Detector For The Measurement Of Turbine Rotor Inlet Temperature, A. Cole Cecil

Theses and Dissertations

Temperature measurements at the inlet of a gas turbine inlet have proven challenging due to the high flow velocities, limited space, and high temperatures. This work investigates the use of the Integrated Spectral Band Ratio (ISBR) method to measure temperature using a new set of gas bands and a new method for collecting, measuring m and converting raw signals to digital temperature data at low cost and high speed (4 Hz). The Pressurized Oxy-Coal (POC) reactor was refurbished and used in this work to simulate turbine inlet conditions. The POC was modified to produce a stable natural gas and air …

Enhancing Employment Readiness Of Information Technology (It) Professionals Of India - A Talent Refactoring Approach, Lakshminarayanan K.V

Theses and Dissertations

The Indian Information Technology (IT) sector is undergoing significant transformation due to the adoption of Industry 4.0 technologies such as Artificial Intelligence, Internet of Things, cloud computing, and cyber-physical systems. These changes have redefined workforce expectations, shifting employment readiness from mere technical competence to a holistic combination of adaptability, behavioral attributes, and continuous learning capabilities. In this context, the study proposes a Talent Refactoring Framework to address employability in a rapidly evolving VUCA–BANI environment by integrating organizational, career-oriented, and individual dimensions.

A review of existing literature reveals notable gaps in understanding employment readiness as an ecosystemic and psycho-social construct, particularly …

Exploring Sub-Protocols For Spectrum Cooperation And Transparency, Ashton Palacios

Theses and Dissertations

With the proliferation of terrestrial and space-based wireless radio frequency transmitters and receivers in recent years, there is a greater need for spectrum cooperation and transparency. Spectrum is a limited resource that is shared between all wireless devices, both active and passive. The spectrum needs of today and tomorrow demand new techniques to enable cooperation and device transparency. This dissertation explores an innovative field, wireless sub-protocols, that provides novel software solutions for spectrum cooperation and transparency. The first application is radio astronomy. Radio astronomy deploys highly sensitive, passive RF receivers to capture faint signals from distant celestial bodies. Because passive …

Non-Invasive Near-Field Microwave Sensors For Industrial Internet Of Things Applications, Abirami K

Theses and Dissertations

The industrial sector has been revolutionized by Industrial Revolution 4.0 with the advent of the Internet of Things (IoT) which integrates the physical environment using smart sensors and Artificial Intelligence (AI) mechanisms. This demands the design of smart sensors and actuators to improve the quality of services in Industrial IoT (IIoT). The sensor design using the microwave resonating principle has attracted the research and industrial community for portable, non-invasive, non-destructive and hygienic means to evaluate the quality of substances in the food and farming industry. The microwave planar sensor has advantages in terms of low footprint, low cost, and ease …

Synthesis And Evaluation Of Novobiocin Analogues As Potential Inhibitors Of Polymerase Theta Polθ In Dna Damage And Repair, Mohammed Essam Albuhluli

Theses and Dissertations

Killing tumors while leaving normal cells unharmed is the goal of precision cancer therapy, a challenging feat that is enabled by targeting tumor-specific vulnerabilities [1]. Targeting Polθ potentiates PARP inhibitors (PARPi) in specifically killing homology-directed repair (HDR)-deficient tumor cells and re-sensitize PARPi resistant tumor cells [1]. The induced essentiality between Polθ and HDR-deficiency underscores the value of Polθ as a therapeutic target in the context of tumors with HDR genetic mutations [1]. The helicase-like domain (HLD) is a super family 2 (SF2)-type domain with DNA-dependent ATPase activity [1]. We previously discovered that the antibiotic NVB acts as an inhibitor of …

Autism Care Continuum: Exploring Specialty Services Across The Lifespan Within U.S. Academic Medical Centers, Alexis Khuu

Theses and Dissertations

Autistic people—particularly adults—experience high rates of co-occurring mental health problems and often report unmet service needs. Although several barriers to accessing quality care are well-documented, the broader landscape of autism-specific services across the lifespan remains under-researched. This two-part thesis aimed to address this gap by examining the availability of autism-specific services, as well as patterns in service utilization and associated costs, among autistic children and adults. The first study employed a systematic web-scraping protocol and data extraction procedure to identify and characterize autism specialty services offered by U.S. academic medical centers. This work revealed a general lack of autism specialty …

Process-Grounded Knowledge-Infused Learning And Decision Making, Kaushik Roy

Theses and Dissertations

This dissertation introduces process-grounded knowledge-infused learning and reasoning, a novel framework for integrating domain-expertise-based process knowledge into the learning and reasoning mechanisms of artificial intelligence systems. This approach is designed to produce controlled, transparent, and reliable predictions in critical tasks such as medical diagnosis and recommendation. By focusing on the case study of mental illness diagnosis and recommendation—where decision-making must be grounded in processes such as disorder-specific diagnostic criteria—this work demonstrates methods to embed structured decision-making directly into the system architecture during both training and inference. This integration facilitates end-to-end training and reasoning while ensuring that outputs strictly adhere to …

Satellite Radar Imagery Analysis For Ground Hazard Risk Monitoring In Railway Tracks And Slopes, Sumanth Varma Byrraju

Theses and Dissertations

Railway transportation is essential to national economies globally, and disruptions from geohazards can result in significant operational delays and considerable economic consequences. Satellite radar technologies, including Interferometric Synthetic Aperture Radar (InSAR), offer an effective means to monitor geohazard risks across extensive railway networks. This thesis employs Multi-Temporal InSAR (MTInSAR) techniques, including Persistent Scatterer InSAR (PSInSAR) and Small Baseline Subset (SBAS), to identify high-risk areas along railway rights of way (ROW) prior to geohazard occurrences. However, the efficiency of these MT-InSAR and, consequently, the caliber of the data generated may be restricted by elements like topographical profile, vegetation, and surface soil …

Action Research To Explore The Use Of Augmented Reality To Support High School Students In Understanding And Creating Art Work In A Drawing Course, Alicia Joanne Cobler

Theses and Dissertations

High school students in Drawing 1 at a high school in South Carolina struggle to understand meaning or make personal connections to their own artwork. The purpose of this action research was to evaluate the implementation of immersive reality technology, specifically augmented reality (AR), in art for high school Drawing 1 students to help them understand meaning in art and create their own meaningful artwork. Creating personally meaningful symbolic works of art is one of the first Visual Art National Core Standards (National Core Visual Art Standards, 2014). Creating meaning in artwork allows students to understand society, provide an opportunity …

Statistical Power To Detect Simultaneous Violation Of Proportionality In Hazards And Additive Assumption In Cox Regression Model, Lawrence Mensah Agbota

Theses and Dissertations

The Cox proportional hazards regression model is a widely employed semi-parametric tool in epidemiological and medical research for analyzing time-to-event data and assessing the relationship between patient survival times and one or more predictors. This method involves regression analyses necessitating a meticulous approach to careful examination of the covariates and the relationship among covariates included in the model through a series of critical decisions and steps. Violation of the additivity of the effects and the proportionality in hazards (PH) assumption can lead to biased results and misleading scientific findings. We conducted a Monte Carlo simulation study to assess the performance …

A Study Of Quasigroups, A Computational Approach On Isotopism And Isomorphism Hierarchical Structure, Runaldo Montrose

Theses and Dissertations

Quasigroups morphism classification can present a real computational challenge. As of today, the number of quasigroups that can be generated from a finite set S of cardinality n is known for very small value of n. Though we know the number of quasigroups for small n, generating them in real time is a whole other issue that leads to a bigger challenge of building their isomorphy classes, because the algorithm used required large computing memory resources. In this paper we will expose the computational complexity of constructing their hierarchical morphism structure from isotopism to isomorphism. As an improvement, …

Predicting Enzyme-Substrate Association Using Heterogeneous Knowledge Graph, Jannatul Ferdaus

Theses and Dissertations

Phosphorylation and dephosphorylation are dynamic processes that control many aspects of cellular activity, such as metabolic pathways, cell cycle progression, and signal transduction. Protein activity and interactions are modulated by the reversible addition or removal of phosphate groups, which allows cells to react abruptly to evolving conditions. Although kinase-specific phosphorylation site prediction has advanced, phosphatase-specific dephosphorylation site computational prediction is still a major obstacle that prevents us from fully comprehending the extent of cellular regulation. In this study, we constructed a knowledge graph for the prediction of enzymes (kinases and phosphatases) and their associated substrates with specific phosphosites. As part …

Optimization Of Thermoelectric Energy Harvester To Power Wireless Onboard Bearing Health Sensors During Rail Service, Danna Cecilia Capitanachi Avila

Theses and Dissertations

This work presents the optimization of a thermoelectric energy harvester designed to supply power to a wireless onboard bearing health monitoring device for critical freight rail components. The study demonstrates an enhancement in the circuitry through the integration of an energy management subsystem (E-Peas AEM20940), which features a boost converter with lower self-start voltage. The harvesting system was tested on dynamic bearing test rigs to closely replicate field service conditions. Test plans were conducted using common freight speeds and loads to simulate a representative urban route. The thermoelectric energy harvester was able to operate at temperature differentials as low as …

The Impact Of Students' Attendance On Their Academic Success: A Ypar Study, Quennella Smith

Theses and Dissertations

Youth participatory action research (YPAR) is a collaborative research approach that empowers students to examine issues affecting their lives and communities. This action research aimed to investigate the relationship between students’ attendance and academic success on middle school students, focusing specifically on eighth-grade students based on the theoretical framework of the critical race theory (CRT) in education and the self-determination theory (SDT). Three research questions were explored related to the impact of students’ attendance on their academic success: 1) What do students consider factors that lead to their poor attendance? 2) How do students feel they can be supported in …

Filling In The Gaps: Evaluating A Self-Regulated Learning Strategy For Middle School Students Using Action Research, Leslie Eller Southerland

Theses and Dissertations

The purpose of this action research study was to evaluate the effects of a self-regulated learning innovation on middle school students’ self-regulated learning skills. One way to address problems such as student motivation, student engagement, and distracting behaviors in the classroom is to explicitly teach self-regulated learning skills such as goal setting, strategy use, self-monitoring, and systematic practice. Two research questions guided this study: (1) How and to what extent does a self-regulated learning innovation impact 7th and 8th grade students’ self-regulated learning skills (planning, self-monitoring, evaluation, reflection)? (2) In what ways do 7^th and 8^th grade students …

An Investigation Of Preservice And Novice Elementary Education Graduate Students’ Self-Efficacy Toward Teaching Engineering Design, Victoria Harkins Cameron

Theses and Dissertations

This mixed-methods action research study examined how an experiential learning–based pedagogical approach influenced the development of teaching engineering self-efficacy in preservice and novice elementary education graduate students. Grounded in Bandura’s self-efficacy theory and Kolb’s experiential learning cycle, the study examined the impact of mastery experiences, vicarious experiences, verbal persuasion, and affective states on shaping participants’ instructional self-efficacy. Data were collected using the Teaching Engineering Self-Efficacy Scale (TESS), written reflections, and a focus group. Engineering pedagogical content knowledge was the only TESS construct to show statistically significant gains, while qualitative findings indicated broader growth in self-efficacy and emotional readiness. The study’s …

The Effect Of An Interdisciplinary Project On Students’ Understandings Of Mathematical Interdisciplinarity: A Qualitative Action Research Study, Jaime Krause

Theses and Dissertations

The siloed nature of education has likely caused some high school students to not recognize the interdisciplinary nature of mathematics, leading them to misunderstand its relationship to other subject areas. A misunderstanding of mathematical interdisciplinarity can cause issues when these students approach interdisciplinary problems later in life. The purpose of this study was to observe, investigate, and analyze the ways in which students understand mathematical interdisciplinarity following a collaborative and interdisciplinary project. I implemented a descriptive qualitative action research approach to determine how a collaborative interdisciplinary project on NASA technology in a high school mathematics course affects students’ understandings of …