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Detecting Flowering Coverage In North Dakota Right-Of-Ways For Supporting Pollinators: A Road Survey Approach, Yeqian Xu
Theses and Dissertations
Establishing and maintaining high-quality grasslands and conservation lands for pollinators can be difficult and costly. As an alternative, roadsides can provide additional forage resources. This study aims to examine the potential of roadside, road ditch, and right-of-way (ROW) land in North Dakota (ND) as alternative habitats for pollinators by quantifying the yellow flowering observed in these sites. The project encompasses a multifaceted approach to assess the viability of roadside ditches in supporting pollinator ecosystems. The research incorporates two essential components: 1) an extensive road survey through the Prairie Pothole Region (PPR) of ND in two consecutive summer seasons and 2) …
Dodea K-12 Student Perceptions Toward Adjusting To Math Curricula Discrepancies Among Base Schools, Jackie Zuiderhof
Dodea K-12 Student Perceptions Toward Adjusting To Math Curricula Discrepancies Among Base Schools, Jackie Zuiderhof
Theses and Dissertations
Students who are affiliated with the United States Armed Forces will transition every two to four years depending on their parents’ career. The students who move may have educational gaps in mathematics because of a United States Armed Forces move occurring in the middle of a school year. The problem of practice addresses the educational gaps that former students and teachers perceive occurring related to content knowledge and procedural fluency. The researcher used a mixed methods study to ask close-ended quantitative questions and open-ended qualitative questions. The research was conducted on the web-based platform of Facebook. The results of the …
Brain-Inspired Continual Learning: Rethinking The Role Of Features In The Stability-Plasticity Dilemma, Hikmat Khan
Brain-Inspired Continual Learning: Rethinking The Role Of Features In The Stability-Plasticity Dilemma, Hikmat Khan
Theses and Dissertations
Continual learning (CL) enables deep learning models to learn new tasks sequentially while preserving performance on previously learned tasks, akin to the human's ability to accumulate knowledge over time. However, existing approaches to CL face the challenge of catastrophic forgetting, which occurs when a model's performance on previously learned tasks declines after learning the new task. In this dissertation, we focus on the crucial role of input data features in determining the robustness of CL models to mitigate catastrophic forgetting. We propose a framework to create CL-robustified versions of standard datasets using a pre-trained Oracle CL model. Our experiments show …
Exploring The Potentials Of Delafossite-Coated Cotton Textiles: Photocatalytic Self-Cleaning, Uv-Blocking, Anti Microbial Activity And Hydrophobicity, Shahria Ahmed
Theses and Dissertations
Delafossite materials demonstrate multifunctional applications due to their excellent catalytic properties, which vary depending on their morphology, particle size, and synthetic method. Herein, a few novel applications of the delafossites are reported, which can be implemented in commercial, medical, and domestic settings. In present work we are presenting two different delafossite CuGaO2 and CuFeO2 nanoparticles and its composite with cotton fiber. Multifunctional cotton fabric is prepared by depositing a uniform coating layer of CuGaO2 and CuFeO2, exhibits excellent photocatalytic self-cleaning, UV blocking, and antimicrobial activity. CuGaO2 and CuFeO2 nanoparticle concentrations of 1mM and 2mM were deposited over the cotton fabric …
Investigating The Impact Of Human-Centered Interface Design On The User Experience Of Mobile Device Users, Ruchir Gupta
Investigating The Impact Of Human-Centered Interface Design On The User Experience Of Mobile Device Users, Ruchir Gupta
Theses and Dissertations
In order to investigate the intricate interaction between interface design, user technological proficiency, and other components of the user experience, this research study used a mixed-method approach. The beginner user group—those with little experience or expertise with technology - were the main target audience. The important discovery emphasizes the substantial influence that careful design can have on improving the effectiveness and usability of interfaces for non-tech-savvy individuals. When using the suggested Interface B instead of the current Interface A, beginner participants' task completion times significantly improved, according to the user study. This underlines the significance of creating with the needs …
Deep Learning In Indus Valley Script Digitization, Deva Munikanta Reddy Atturu
Deep Learning In Indus Valley Script Digitization, Deva Munikanta Reddy Atturu
Theses and Dissertations
This research introduces ASR-net(Ancient Script Recognition), a groundbreaking system that automatically digitizes ancient Indus seals by converting them into coded text, similar to Optical Character Recognition for modern languages. ASR-net, with an 95% success rate in identifying individual symbols, aims to address the crucial need for automated techniques in deciphering the enigmatic Indus script. Initially Yolov3 is utilized to create the bounding boxes around each graphemes present in the Indus Valley Seal. In addition to that we created M-net(Mahadevan) model to encode the graphemes. Beyond digitization, the paper proposes a new research challenge called the Motif Identification Problem (MIP) related …
Care-Teach: Proposing An Open-Source Approach To Personalized Learning, Jaime Augusto Alvarez Perez
Care-Teach: Proposing An Open-Source Approach To Personalized Learning, Jaime Augusto Alvarez Perez
Theses and Dissertations
Care-Teach is an algorithmic educational model that provides teachers and educators with the tools to create interactive, text-based lessons that address a student’s need for continuity and reinforcement. Care-Teach is built around two core components: a Student Behavior Profile and the Skill Tree. These models work together to give each student a personalized learning experience that reinforces their pre-existing strengths and inclinations. The Student Behavior Profile model keeps track of a learner’s inclinations and mood, utilizing metrics such as average response time and accuracy to categorize opportunities for educator involvement. The Skill Tree is an organizational …
Machine Learning Predictive Models For Load Identification Of Railroad Bridges Subjected To Train-Induced Vibration, Md Masnun Rahman
Machine Learning Predictive Models For Load Identification Of Railroad Bridges Subjected To Train-Induced Vibration, Md Masnun Rahman
Theses and Dissertations
The U.S. rail network is among the world's largest, safest, and most efficient. However, many its railway bridges, which play an essential role in its connectivity, are over 100 years old, showing signs of structural deterioration exceeding their practical service life. The increased weight and speed of modern trains also pose a risk to these bridges. Traditional load identification and monitoring technologies like Weigh-in-Motion (WIM) systems are rarely used on railway bridges due to their cost and practical limits. This thesis explores a cost-effective approach to utilize vibration sensors on railway bridges to identify and predict train load features (speed …
Numerical Study Of New Tuned Mass Friction Damper For Seismic Protection Of Civil Structures, Syed Muhammad Bilal Haider
Numerical Study Of New Tuned Mass Friction Damper For Seismic Protection Of Civil Structures, Syed Muhammad Bilal Haider
Theses and Dissertations
Tuned Mass Friction Dampers (TMFDs) are passive control systems designed to mitigate vibrations in civil structures subjected to extreme lateral forces such as windstorms and earthquakes. The objective of this thesis is to propose a new TMFDs with enhanced energy dissipation capability for seismic protection of multi-story frame buildings. This new TMFD is termed as “Tuned Mass Multi-Sliding Friction Damper” (TMMSFD) consisting of multiple masses connected to the primary structure through linear springs and while sliding relative to each other at multiple sliding surfaces. TMMSFD offers an improved damping mechanism with reduced stick-slip motion effects compared to standard TMFDs which …
Model-Based And Model-Free Control Approaches In Subgrids: A Conceptual Review Of Control Strategies In Microgrids, Omobolade H. Abioye
Model-Based And Model-Free Control Approaches In Subgrids: A Conceptual Review Of Control Strategies In Microgrids, Omobolade H. Abioye
Theses and Dissertations
Increased reliance on the power grid and concerns over climate change issues have resulted in the rapid adoption of renewable energy technologies. Consequently, it is necessary to consider how renewable energy resources are combined and controlled. The microgrid serves as the control center for distributed energy resources. This thesis paper introduces the microgrid elements and framework, its control strategies highlighting frequency and voltage control, and the prospects of artificial intelligence for control, considering two significant approaches. Key components of sub grids like the energy management system (EMS) and energy storage systems (ESSs) are discussed, and lastly, the …
Bayesian Estimation Of Reproduction Numbers From Distributions Of Outbreaks Sizes: Branching Process Approach, Alberta Araba Johnson
Bayesian Estimation Of Reproduction Numbers From Distributions Of Outbreaks Sizes: Branching Process Approach, Alberta Araba Johnson
Theses and Dissertations
The Generalized Poisson distribution is useful in modeling epidemiological processes as a branching stochastic processes problem. Our goal is to construct accurate and reliable estimators for the reproduction number (R0) (i.e., the number of secondary infections), particularly in the context of disease outbreaks modeled by a Galton-Watson process. Towards this goal, we construct the classical Bayes estimator, the Maximum Likelihood estimator, and the Empirical Bayes (EB) estimator under the Square Error Loss function in Chapter II. We prove that the Empirical Bayes estimator is asymptotically optimal and estimate the rate of convergence. We then proceed to monotonize the Empirical Bayes …
A Dedicated Lane Analysis For Supply Chain Resilience In The U.S.-Mexico Border: Cost-Comparison And Simulation Models, Carlo A. Zorola Gonzalez
A Dedicated Lane Analysis For Supply Chain Resilience In The U.S.-Mexico Border: Cost-Comparison And Simulation Models, Carlo A. Zorola Gonzalez
Theses and Dissertations
Supply chains have been actively developing and implementing strategies to enhance resilience in response to various disruptive events like the COVID-19 pandemic, hurricanes, geopolitical tensions, and climate change. These strategies aim to address demand and supply imbalances, logistical challenges, and policy restrictions encountered in transborder commerce. One area significantly impacted by such disruptions is cross-border trade between the US and Mexico. Understanding these strategies is crucial for achieving supply chain resilience, defined as the ability of a supply chain to quickly adapt to sudden disruptions without affecting the flow of goods. In both the US-Mexico and US-Canada borders …
Persistence And Lived Experiences Of Doctoral Students At A Hispanic Serving Institution, Jacob Michael Camacho
Persistence And Lived Experiences Of Doctoral Students At A Hispanic Serving Institution, Jacob Michael Camacho
Theses and Dissertations
The purpose of this study was to examine the factors that influence the completion of PhD degrees and identify obstacles to completion at a Hispanic Serving Institution. Low completion rates are a national and global problem predicted to generate a critical shortage of professionals needed by society. The researcher utilized a phenomenological qualitative study to research the phenomenon through the interpretation of an individual's experiences in various situations (Stake, 2010). This research is important as it aims to analyze programs with high completion rates to find the factors that contribute to or impede dissertation completion. This project will focus on …
Variational Bias Sampling For Collaborative Filtering Recommender Systems, Prisca Stephens
Variational Bias Sampling For Collaborative Filtering Recommender Systems, Prisca Stephens
Theses and Dissertations
Advancements in digitalization has yielded enormous growth of data on online platforms, overwhelming users with multitude of options to choose from. Recommender systems narrow down these options to a few relevant ones thereby facilitating the decision-making processes for users. This study presents a framework for integrating variational bias sampling into model-based collaborative filtering techniques for recommender systems. Variational bias sampling is a novel and unique way to account for random factors that affect explicit ratings in collaborative filtering recommender systems. A Gaussian distribution is used to model all the possible random factors that could affect ratings. Sampling user and item …
Mitigation Methods For Instrumental Artifacts In Gravitational Wave Data, Raghav Girgaonkar
Mitigation Methods For Instrumental Artifacts In Gravitational Wave Data, Raghav Girgaonkar
Theses and Dissertations
Strain data from ground-based gravitational wave detectors are regularly affected by instrumental artifacts known as glitches. Such glitches form the background of false alarms in the detection of gravitational waves from compact binary coalescences, in-turn reducing search sensitivity. If left unaccounted, these glitches along with other non-stationarity may also contribute towards a corrupted representation of the statistical properties of detector noise, subsequently affecting parameter estimation for detected gravitational wave candidates. Therefore, effective data analysis methods to veto glitches and identify non-stationarities in detector data are crucial to enhancing the sensitivity of a gravitational wave search. In this thesis, we …
Conditional Constrained And Unconstrained Quantization For A Uniform Distribution On A Hexagon, Christina Hamilton
Conditional Constrained And Unconstrained Quantization For A Uniform Distribution On A Hexagon, Christina Hamilton
Theses and Dissertations
In this thesis, we have considered a uniform distribution on a regular hexagon and the set of all its six vertices as a conditional set. For the uniform distribution under the conditional set first, for all positive integers n ≥ 6, we obtain the conditional optimal sets of n-points and the nth conditional quantization errors, and then we calculate the conditional quantization dimension and the conditional quantization coefficient in the unconstrained scenario. Then, for the uniform distribution on the hexagon taking the same conditional set, we investigate the conditional constrained optimal sets of n-points and the conditional constrained quantization errors …
Soil Carbon Sequestration Efforts In Arid And Semi-Arid Climates Under Conservation Agriculture And Reforestation, Samantha Lynn Colunga
Soil Carbon Sequestration Efforts In Arid And Semi-Arid Climates Under Conservation Agriculture And Reforestation, Samantha Lynn Colunga
Theses and Dissertations
Soil organic carbon (SOC) plays a vital role in the global carbon cycle and aids in climate change mitigation. However, deforestation and intensive agricultural practices threaten topsoil and carbon (C) pools through soil disturbances releasing vast amounts of carbon dioxide (CO2) by enhancing the decomposition of organic materials. Degraded soils typically lack stable aggregates, nutrient and water retention, and overall low fertility. In arid and semi-arid regions, soils are in an even more dire situation, as low precipitation and high temperatures slow down the accumulation of SOC. This thesis has two objectives: 1) to evaluate whether conservation tillage practices increase …
How Mathematics Instructors Foster The Development Of Black Students' Mathematics Identity In Undergraduate Active Learning Mathematics Courses, Ashly J. Olusanya
How Mathematics Instructors Foster The Development Of Black Students' Mathematics Identity In Undergraduate Active Learning Mathematics Courses, Ashly J. Olusanya
Theses and Dissertations
Black students must overcome unique challenges to succeed in mathematics. Educators are tasked with identifying equitable teaching practices to support these students. Active learning (AL) is a teaching pedagogy that engages students in rigorous mathematical activities and encourages student participation. This research study will explore the professors’ beliefs about how students learn mathematics and why they use active learning in their collegiate mathematics courses. The study explores the connections between these beliefs and their reported use of instructional practices. The study also identifies the instructors’ beliefs about developing students’ mathematics identities, particularly their Black …
A Multivariate Analysis Of The Gravitational Wave Signal Landscape From Core Collapse Supernovae, Raul Alberto Espinosa Perez
A Multivariate Analysis Of The Gravitational Wave Signal Landscape From Core Collapse Supernovae, Raul Alberto Espinosa Perez
Theses and Dissertations
Core collapse supernovae (CCSN) are highly anticipated sources of gravitational waves (GW) during the on-going fourth observation run (O4) of GW detectors like LIGO and the future observation runs. The GW signal from the CCSN cannot be modeled mathematically. Several groups around the world have engaged in simulation of the predicted GW signals from CCSN sources. These simulations are carried out in supercomputers, and they incorporate general relativity, hydrodynamics, neutrino physics, mass and angular momentum of the stellar progenitor and nuclear equations of state (EoS). The output consists of simulated signals with varying duration, peak frequency, GW energy and time-frequency …
A Study On A Vector Complex Modified Korteweg-De Vries Equation, Changyan Shi
A Study On A Vector Complex Modified Korteweg-De Vries Equation, Changyan Shi
Theses and Dissertations
In this thesis, we systematically study a vector complex modified Kordeweg-de Vries equation by combining Hirota's bilinear method and the the Kadomtsev–Petviashvili (KP) reduction method. This vector nonlinear equation is a multi-component generalization of the well-known modified Kordeweg-de Vries (mKdV) equation and can be reduced to the known Hirota equation, Sasa-Satsuma (SS) equation, Sasa-Satsuma-mKdV equation as well as coupled Sasa-Satsuma equation. First, we bilinearize the vector complex mKdV equation under both the zero and nonzero boundary conditions by introducing auxiliary tau functions. Then, starting from two sets of bilinear equations of multi-component KP hierarchy and single-component KP-Toda …
The Perspectives Of Using Desmos For Students’ Conceptual Understanding And Procedural Fluency To Solve Linear Equations, Larmel Dimatulac Madrilejos
The Perspectives Of Using Desmos For Students’ Conceptual Understanding And Procedural Fluency To Solve Linear Equations, Larmel Dimatulac Madrilejos
Theses and Dissertations
The study examines the perspectives of using the Desmos calculator of Algebra I students' conceptual understanding and procedural fluency to write, graph, and solve linear equations in Algebra I STAAR. While the students have continuously used technology for mathematics assessment, emergent bilingual students in South Texas still need help passing high-stakes testing. The framework of the study is grounded in the theory of mathematical education (knowledge of mathematics educators to teach), the theory of mathematical learning (understanding how students learn mathematics), and social constructivism. The study seeks ways to teach all students, mainly the minority, to learn …
Studies Of Novel And Well-Defined Dinickel Architectures Utilizing An N-Atom Bridge, David Anthony De Los Santos
Studies Of Novel And Well-Defined Dinickel Architectures Utilizing An N-Atom Bridge, David Anthony De Los Santos
Theses and Dissertations
There has been a growing interest in organometallic chemistry to utilize late Earth-abundant metals towards challenging molecular functionalization of abundant feedstocks to value-added products. There is precedent of utilizing cooperativity to try and address some of the shortcomings of traditional mononuclear complexes by integrating metal-metal and or metal-ligand cooperativity to facilitate multi-electron transformations. The utility of a redox-noninnocent scaffold allows for the metal centers to be stable over a range of oxidation states, using the ligand to store electrons. Despite recent progress, complexes harnessing cooperative states towards challenging transformations is still an emerging field. Our group has synthesized a multinucleating …
Synthesis Of Nano-Microstructured Barium Titanate (Batio3) Incorporated In Pvdf-Hfp/Peo For Sustainable And Green Energy Generation, Rigobert Ybarra Jr.
Synthesis Of Nano-Microstructured Barium Titanate (Batio3) Incorporated In Pvdf-Hfp/Peo For Sustainable And Green Energy Generation, Rigobert Ybarra Jr.
Theses and Dissertations
The global reliance on fossil fuels and natural gas, has largely dominated the energy production field, but due to finite resource depletion and escalating greenhouse gas emissions, the immediate exploration of sustainable energy alternatives to mitigate climate change and ensure resource security has been a major concern. There has been extensive research into other more renewable methods of energy production such as wind and hydropower. Of these current energy generation types there are many areas of untapped potential from the mechanical movements generated ambiently not only in the large scale of power generation but also on a smaller scale. The …
Ai-Powered Information Retrieval In Meeting Records And Transcripts Enhancing Efficiency And User Experience, Srushti Nitin Ghadge
Ai-Powered Information Retrieval In Meeting Records And Transcripts Enhancing Efficiency And User Experience, Srushti Nitin Ghadge
Theses and Dissertations
This study compares the traditional search methods, which is to search from video recordings of the meetings by moving the slider back and forth or by keyword search in transcripts versus integrated AI video plus transcript search. Based on the previous test results, we introduced some human-centric design features to the AI and built a new enhanced AI search tool for information retrieval. For search technique efficiency testing, the method had two set of experiments. The first results of the experiment showed that AI-based search algorithms were more accurate and faster than conventional search approaches. Participants were also happier with …
Exploring Graph Neural Networks In Reinforcement Learning: A Comparative Study On Architectures For Locomotion Tasks, Gaukhar Nurbek
Exploring Graph Neural Networks In Reinforcement Learning: A Comparative Study On Architectures For Locomotion Tasks, Gaukhar Nurbek
Theses and Dissertations
Deep Reinforcement learning (DRL) has gained importance in optimizing control policies, while Graph Neural Networks (GNNs) offer a robust approach for modeling complex relationships within systems represented as graphs. This thesis investigates the integration of DRL and GNNs to optimize control policies for robotic tasks, with a focus on locomotion. It compares static and dynamic GNN architectures for control policy predictions, revealing their strengths and limitations in adapting to locomotion predictions. The study assesses the impact of model structure complexity on GNNs' predictive capabilities, showcasing how intricate model structure can maximize GNNs' potential in capturing spatial and relational dependencies when …
Novel Methods To Increase Carbon Mineralization Rates, Charles Ekpewani Kwaku Kporxah
Novel Methods To Increase Carbon Mineralization Rates, Charles Ekpewani Kwaku Kporxah
Theses and Dissertations
Humans have contributed to climate change through anthropogenic emissions of greenhouse gases, such as carbon dioxide (CO2), methane, chlorofluorocarbons, and nitrous oxide, into the atmosphere. CO2 emissions contribute approximately 79% to the warming of the Earth's surface. Various tactics have been developed to slow down global warming and prepare for climate change, including carbon mineralization. Carbon mineralization is a process that converts CO2 into solid mineral forms, such as carbonates, emulating the natural weathering process of alkaline silicate rocks. However, the rate of natural weathering is slow, occurring on geologic time scales. Therefore, the goal of this research is to …
A Study Of Forecasted Electromagnetic Path Errors To Determine Potential Impacts On Detect And Avoid Systems For Unmanned Aircraft, Brianna Marie Kump
A Study Of Forecasted Electromagnetic Path Errors To Determine Potential Impacts On Detect And Avoid Systems For Unmanned Aircraft, Brianna Marie Kump
Theses and Dissertations
Temperature, atmospheric pressure, and vapor pressure affect electromagnetic propagation. For radars, variations in electromagnetic propagation can cause a radar target (e.g., aircraft) to shift in its apparent position, resulting in misrepresentation of the target’s position on the radar display. These variations can be forecast using atmospheric profiles from Numerical Weather Prediction (NWP) and ray tracing software. Evaluation and quantification of differences between forecasted and analyzed electromagnetic propagation conditions using ray tracing techniques and atmospheric conditions derived from the Rapid Refresh (RAP) model will provide guidance regarding Detect And Avoid (DAA) performance requirements.
The Application Of Machine Learning Algorithms On Co2 Eor, Chenyu Wu
The Application Of Machine Learning Algorithms On Co2 Eor, Chenyu Wu
Theses and Dissertations
CO2 Enhanced Oil Recovery (EOR) is increasingly recognized worldwide for its dual benefits of enhancing oil production and addressing environmental concerns related to greenhouse gas emissions. However, traditional methods for assessing the feasibility of CO2 EOR in a specific field, such as pilot tests and simulations, are often time-consuming and labor-intensive. A critical factor in determining the suitability of a field for CO2 EOR is the CO2 Minimum Miscibility Pressure (MMP), as miscible flooding is more feasible when the reservoir pressure exceeds the CO2 MMP. Traditional determination of CO2 MMP relies heavily on extensive experimentation, which, despite its accuracy, incurs …
Public Instagram Accounts Of Saudi Women Public Figures In A Context Of Social Change, Gamra Motlaq Albogami
Public Instagram Accounts Of Saudi Women Public Figures In A Context Of Social Change, Gamra Motlaq Albogami
Theses and Dissertations
This research analyzed 100 Instagram posts of ten Saudi women's public figures using a qualitative methodology to explore how their cultural and gender roles and norms are portrayed and how these portrayals align with Saudi Arabia's Vision 2030 objectives. The findings indicate that these public figures integrate traditional cultural and gender norms with contemporary norms in their online presentations. Traditional attire and familial roles are commonly showcased, underscoring the profoundly ingrained importance of cultural values in alignment with the findings in existing literature. However, there was a noticeable shift towards contemporary portrayals of identity, particularly in professional life, reflecting the …
Investigating Potential Improvements To Mbse Software To Support Dodaf, Jennifer Marie Kimpson
Investigating Potential Improvements To Mbse Software To Support Dodaf, Jennifer Marie Kimpson
Theses and Dissertations
The integration of models created through model-based systems engineering methods with DoDAF is not a new concept. By creating DoDAF-aligned models, DoD program managers are following DoD guidelines to hopefully achieve more effective communication with stakeholders and improve efficiency of their programs. With the use of MBSE tools to create these models, DoD program managers are able to take further advantage of the benefits of MBSE methods. However, even with the use of MBSE tools, there continue to be issues throughout DoD programs. The literature has shown that a continuous improvement approach regarding the use of MBSE tools with DoDAF …