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Electric Vehicles Historical Sales, Minerals Demand Risks, And Supply Chain Dynamics, Md Saidur Rahman
Electric Vehicles Historical Sales, Minerals Demand Risks, And Supply Chain Dynamics, Md Saidur Rahman
Electronic Theses and Dissertations
The growing adoption of electric vehicles (EVs) is transforming the automotive industry as governments, businesses, and consumers seek sustainable transportation options. This thesis examines the Electric Vehicles Historical Sales, future demand, key minerals demand risks, focusing on critical supply chain dynamics and sustainability challenges that influence EV production scalability. Specifically, the research explores demand forecasts and resource needs under policy scenarios from the International Energy Agency (IEA): the Stated Policies Scenario (STEPS), Announced Policies Scenario (APS), and Net Zero Emissions by 2050 Scenario (NZES). Key materials analyzed include lithium, cobalt, and nickel, assessing potential bottlenecks in sourcing, refining, and logistics. …
Climate Variability Study For Arid Regions, Faisal Almutairi
Climate Variability Study For Arid Regions, Faisal Almutairi
Electronic Theses and Dissertations
Water is the primary source for all living species to thrive, and water scarcity has been a primary concern for biological species and plants in arid regions due to urban planning, population growth, poor water management, and overgrazing. The objective of this research was to study the climate variability in precipitation and temperature for an arid region. This research encompasses two distinct studies. The first study examined the impact of climate variability on precipitation in Phoenix. Precipitation data were acquired from NOAA from 1948 to 2023 and the study was broken down into three time scales: annually, seasonally, and monthly. …
Development Of Food Preservative Hydrogel Using Bioactive Compounds Extracted From Canola Meal, Kayla Christopherson
Development Of Food Preservative Hydrogel Using Bioactive Compounds Extracted From Canola Meal, Kayla Christopherson
Electronic Theses and Dissertations
With an ever-growing population comes the need for a greater food supply. Yet land and other agricultural resources put a limit on the availability of food production. As farmers strive to optimize higher produce yields, society must turn to greener, more sustainable food preservation techniques to reduce food spoilage. The inclusion of extracted bioactive compounds found in canola meal into a food preservative hydrogel is such a solution for food spoilage reduction. In this thesis, extraction parameters of glucosinolates were examined along with their inhibition of E. coli DH5αZ1 when incorporated into 2 developed hydrogels: gelatin A Schiff-base and agar-agar. …
Remote Sensing - Based Mapping And Analysis Of Winter Cover Crop Adoption For Sustainable Agriculture, Minnehaha County, Belinda Buechler
Remote Sensing - Based Mapping And Analysis Of Winter Cover Crop Adoption For Sustainable Agriculture, Minnehaha County, Belinda Buechler
Electronic Theses and Dissertations
Winter cover crops planted by farmers such as cereal rye, crimson clover, radishes, hairy vetch, and winter wheat are used to conserve and protect the soil during winter. These crops offer numerous benefits such as improving soil health, reducing erosion, fixing nitrogen, increasing carbon sequestration, and weed suppression. Over time, winter cover cropping has been recognized as a sustainable agricultural practice and has gained attention from Federal and State conservation programs, farmers, and non-governmental organizations. Due to their vital benefits, agencies such as the United States Department of Agriculture (USDA), Natural Resources Conversation Services (NRCS) have partnered with cost-share programs …
Design And Optimization Of The Injection Molding Process Of Glass Fiber Reinforced Polymeric Car Fender Using Computational Simulation, Synthia Ferdouse
Design And Optimization Of The Injection Molding Process Of Glass Fiber Reinforced Polymeric Car Fender Using Computational Simulation, Synthia Ferdouse
Electronic Theses and Dissertations
The increasing demand for lightweight and energy-efficient materials in the automotive industry has accelerated the adoption of fiber-reinforced polymer composites. This research presents the design and optimization of the injection molding process for glass fiber-reinforced polymer (GFRP) car fenders using computational simulation. The effects of various gate types and locations on key process parameters, including fiber orientation, volumetric shrinkage, shear rate, and fill time, were investigated using Finite Element Analysis (FEA), Autodesk Moldflow Insight 2024, and MATLAB-based Multi-Criteria Decision-Making (MCMD) techniques. Simulations were conducted across multiple configurations involving three, four, and five gates, with several variations in location. Among all, …
Biopolymer-Induced Soil Ductility Enhancement: Mitigating The Effects Of Desiccation Cracks, Rabindra Prasad Bohara
Biopolymer-Induced Soil Ductility Enhancement: Mitigating The Effects Of Desiccation Cracks, Rabindra Prasad Bohara
Electronic Theses and Dissertations
This study addresses the formidable challenges of expansive clayey soils, notorious for their swelling-shrinkage characteristics, which often lead to ground instability and structural damage. While effective in mitigating soil swell-shrink potential and enhancing strength, traditional calcium-based stabilizers can react with higher sulfate content to form ettringite, causing volumetric changes and infrastructure distress. To assess the impact of stabilizing sulfate-rich soils and determining the various engineering properties, samples of both control and stabilized soils were prepared using lime, biopolymer (guar gum), and lime with guar gum at concentrations of 2% and 4% lime only, 0.5%, 1% and 1.5% guar gum only, …
Improving K-Mean Clustering: A Comparative Study Of Parallelized Version Of Modified K-Mean Algorithm For Clustering Of Satellite Images, Yuv Raj Pant
Electronic Theses and Dissertations
Efficient clustering of high-dimensional satellite image datasets remains a critical challenge, particularly due to the computational demands of spectral distance calculations, random centroid initialization, and sensitivity to outliers in conventional K-Mean algorithms. This study presents a comprehensive comparative analysis of eight parallelized variants of the K-means algorithm, designed to enhance clustering efficiency and reduce computational burden for large-scale satellite image analysis. The proposed parallelized implementations incorporate optimized centroid initialization for better starting point selection, a Dynamic K-mean sharp method to detect the outlier to improve cluster robustness, and a Nearest-Neighbor Iteration Calculation Reduction method to minimize redundant computations. These enhancements …
Investigating The Ruminal Metagenome Of Grass And Forage-Fed Bison To Uncover Metabolic Activities That Impact The Efficiency Of Plant Fiber Utilization, Anlly Fresno Rueda
Investigating The Ruminal Metagenome Of Grass And Forage-Fed Bison To Uncover Metabolic Activities That Impact The Efficiency Of Plant Fiber Utilization, Anlly Fresno Rueda
Electronic Theses and Dissertations
This dissertation investigates the ruminal microbiome of American plains bison (Bison bison) to uncover the metabolic activities that enable efficient utilization of plant fiber, with a particular focus on bacterial composition and functional capabilities in response to forage quality. Using both 16S rRNA gene sequencing and metagenomic approaches, this research provides a comprehensive view of microbial diversity and metabolic potential in the rumen of bison, offering insights into their ecological resilience and efficiency in nutrient extraction. Chapter 2 focuses on the metabolic potential of bacterial communities in the rumen of bison fed a grass-based diet. Using high-throughput sequencing and metagenomic …
Development Of A Collagen-Based Bioink For 3d Printing Biomimetic Tendon-To-Bone Tissue Grafts For Rotator Cuff Repair, Samiul Nibir
Development Of A Collagen-Based Bioink For 3d Printing Biomimetic Tendon-To-Bone Tissue Grafts For Rotator Cuff Repair, Samiul Nibir
Electronic Theses and Dissertations
This study presents the development of a collagen-based bioink for 3D printing tendon-to-bone tissue grafts, specifically designed for rotator cuff repair applications. Three different bioink formulations were developed: (i) 5.1% (w/v) collagen I, (ii) 5% (w/v) collagen I and collagen II, and (iii) 4.5% (w/v) collagen I combined with β-TCP. The bioink containing collagen I and collagen II was prepared by mixing the two components in a 1:1 ratio, while the collagen I plus β-TCP formulation was made by incorporating 20 wt % β-TCP into the collagen I solution. These formulations were developed to replicate the natural tendon-to-bone complex interface …
Modeling Fluid Flow In Complex Biological Systems: Implications For Dense Tumor Microenvironments, Metastasis, And Bone Cancer, Mohammad Mehedi Hasan Akash
Modeling Fluid Flow In Complex Biological Systems: Implications For Dense Tumor Microenvironments, Metastasis, And Bone Cancer, Mohammad Mehedi Hasan Akash
Electronic Theses and Dissertations
The transport of biofluids in physiological systems plays a critical role in understanding and optimizing therapeutic interventions for diseases such as cancer and respiratory infections. This dissertation focuses on developing and validating a comprehensive computational framework for studying multiphase transport in complex biological environments. The research emphasizes the use of Computational Fluid Dynamics (CFD) to simulate and analyze plasma perfusion in solid tumors, particle deposition in respiratory airways, and fluid transport in cancer metastasis and bone cancer systems. By addressing the challenges of modeling biological transport phenomena, this work provides valuable insights into therapeutic planning and experimental validation. The study …
Shifting Waters: A 41-Year Time-Series Analysis Of Surface Water Change In The Prairie Pothole Region, Madison Dejarlais
Shifting Waters: A 41-Year Time-Series Analysis Of Surface Water Change In The Prairie Pothole Region, Madison Dejarlais
Electronic Theses and Dissertations
The Prairie Pothole Region (PRR) is a landscape defined by a dynamic surface water system, with wetlands, lakes, and rivers playing critical roles in supporting biodiversity, regulating floods, and maintaining hydrological balance. This study conducts a time-series analysis of surface water change in the PPR from 1984 to 2024, using remote sensing tools including Google Earth Engine, ArcGIS Pro, and ENVI. 41 annual surface water presence rasters were compiled into a cumulative dataset, allowing for both year-to-year comparisons and broader trend analysis. Results indicate that the presence of surface water in the PPR has not followed a simple linear trend. …
Synchronization Protocols Utilizing Progesterone Implants Associated With Estrus Expression, Vaginal Microbiome, And Immune Response In Beef Cattle, Riley James Puck
Synchronization Protocols Utilizing Progesterone Implants Associated With Estrus Expression, Vaginal Microbiome, And Immune Response In Beef Cattle, Riley James Puck
Electronic Theses and Dissertations
This thesis aims to provide a deep understanding of presynchronization strategies and the varying factors affecting their efficacy. Beginning with a literature review of the estrous cycle and the endocrinology driving it. Building on this foundation, the physiological basis for estrous synchronization is described, followed by the advancement of pre-synchronization protocols designed to increase estrus and conception. Further, we will focus on the influence of estrus expression on insemination time and conception rates. Finally, how the immune system interacts with the conception process. In addition, the review goes beyond exogenous endocrine manipulation and dives into the emerging role of the …
One Rung At A Time: Climbing The Ladder Toward Aquatic Connectivity In Eastern South Dakota, Evan Spencer
One Rung At A Time: Climbing The Ladder Toward Aquatic Connectivity In Eastern South Dakota, Evan Spencer
Electronic Theses and Dissertations
Roads and streams are synonymous with their connection to movement, the acquisition of resources, and as pathways to new opportunities. However, the factors that define good roads and ecologically connected streams are rarely without conflict. Road infrastructure at stream-road crossings has the potential to fragment stream networks. Tube culverts, where streams pass under the road through metal pipes, are particularly concerning for stream connectivity. Undersized, aging, or inappropriately installed culverts can develop vertical drops at the outflow due to high velocities and stream bed scouring. The outlet drop can function as a barrier, preventing the upstream movement of fish. Due …
Semantic Think-On-Graph (Semtog) : Enhancing Graphrag Through Semantic Community Detection, Sugam Mishra
Semantic Think-On-Graph (Semtog) : Enhancing Graphrag Through Semantic Community Detection, Sugam Mishra
Electronic Theses and Dissertations
Graph-based Retrieval-Augmented Generation (GraphRAG) enhances large language models (LLMs) by grounding their reasoning in structured knowledge graphs, making them more reliable for multi-hop reasoning and factual QA. A central mechanism in Think-on-Graph systems such as ToG[14] and FastToG[7] is community detection, which groups locally related nodes into compact subgraphs so that LLMs can reason over focused, information-rich neighborhoods instead of traversing the entire graph. However, these methods rely purely on structural connectivity, often scattering semantically related entities across different communities and weakening the evidence provided to the LLM. We propose Semantic Think-on-Graph (SemToG), a semantic-aware extension of FastToG[7] that integrates …
Quantification Of Auxin-Cytokinin Response During Lateral Root And Nodule Development In Medicago, Aniket Singh
Quantification Of Auxin-Cytokinin Response During Lateral Root And Nodule Development In Medicago, Aniket Singh
Electronic Theses and Dissertations
Lateral roots (LRs) and nodules are post-embryonic root organs in legumes formed through the activity of de novo meristem. LRs, which are present in all vascular plants, are developed primarily via intrinsic developmental cues, whereas root nodules, found only in a small group of plants known as legumes, are formed in response to legume–rhizobium symbiosis. LRs arise from the pericycle layer of the root, whereas nodule initiation can begin either in the pericycle (indeterminate nodules with persistent meristem, as in Medicago) or in the cortex (determinate nodules with transient meristem, as in soybean), pointing toward a conserved developmental origin, especially …
Generative Ai In The Workplace: Adoption Patterns, Innovation Attributes, And Equity Implications At Bhssc, Andrew Ley
Generative Ai In The Workplace: Adoption Patterns, Innovation Attributes, And Equity Implications At Bhssc, Andrew Ley
Electronic Theses and Dissertations
This case study explores generative artificial intelligence (GenAI) adoption patterns, innovation attributes, and equity implications within a diverse educational cooperative in western South Dakota. A mixed methods approach was employed to analyze adoption trends, perceived productivity differentials, and the significance of key innovation characteristics to 40 employees representing a range of divisions, roles, and levels of digital competence. Employees with lower self-reported digital competence and higher average age reported disproportionately higher perceived productivity gains from GenAI tools. This may suggest GenAI may level the playing field for aging individuals who have previously felt marginalized by rapid technological change in the …
Distributed Energy Resources (Der) Capacity Estimation With Spatiotemporal Downscaling For Transmission And Distribution Coordination, Abhilasha Suvedi
Distributed Energy Resources (Der) Capacity Estimation With Spatiotemporal Downscaling For Transmission And Distribution Coordination, Abhilasha Suvedi
Electronic Theses and Dissertations
The primary objective of this thesis is to accurately estimate the capacity of distributed energy resources (DERs) using the spatiotemporally downscaled local solar irradiance for their efficient integration into transmission-level grid operations. Accurate estimation of DER capacity is crucial for their enhanced integration into real-time electricity markets. Different methods of spatiotemporally downscaling the solar irradiance are presented in this thesis, followed by their integration into the 12 house distribution network – a low voltage residential distribution system. Grid support functions (GSFs) like Volt-Watt Control, Volt-VAR control, and Frequency-Watt Control are applied to effectively regulate the frequency and maintain the voltage …
Optimizing Hypersonic Scramjets: A Numerical Study Of Fuel Type And Cavity Flameholder Design Impacts On Supersonic Combustion, Delaney Baumberger
Optimizing Hypersonic Scramjets: A Numerical Study Of Fuel Type And Cavity Flameholder Design Impacts On Supersonic Combustion, Delaney Baumberger
Electronic Theses and Dissertations
This thesis presents recommendations for optimizing hypersonic scramjets via a numerical study focusing on fuel type and cavity flameholder design and the impacts they have on supersonic combustion. The research is divided into two main investigations aimed at improving scramjet engine efficiency using two distinct geometrical configurations, a square cavity engine and an axisymmetric cavity engine. Each configuration is examined under Mach 2 inflow conditions to assess the role of geometric variation and fuel selection on combustion stability, flameholding, and overall performance. The first study focuses on a comparative assessment of hydrogen and ethylene as scramjet fuels to evaluate their …
Modelling The Hydrologic Impact Of Land Cover On Stormwater Detention Basins In Harris County, Tx, Kabita Sapkota
Modelling The Hydrologic Impact Of Land Cover On Stormwater Detention Basins In Harris County, Tx, Kabita Sapkota
Electronic Theses and Dissertations
Harris County on the upper Gulf Coast in Southeast Texas is susceptible to both riverine and coastal flooding due to intense, short-duration thunderstorms, slow-moving frontal systems, and tropical hurricanes. Low-lying terrain, clay soils with poor drainage, high annual rainfall, and a widespread network of bayous and streams all contribute to frequent flooding. To reduce the impacts of urbanization and the loss of surface storage, the Harris County Flood Control District (HCFCD) built detention basins throughout the county to temporarily store stormwater runoff and release it slowly, lowering peak flows and preventing downstream flooding and erosion. These basins vary in land …
Lorawan-Enabled Iot Solution For Smart Farming, Talha Khan
Lorawan-Enabled Iot Solution For Smart Farming, Talha Khan
Electronic Theses and Dissertations
The rising global demand for food, driven by population growth, alongside a declining rural workforce, presents a great challenge for agriculture. Precision agriculture, which relies on the widespread adoption of smart farming technologies, is anticipated to enhance agricultural productivity and sustainability. Emerging technologies, such as machine vision, artificial intelligence (AI), and the Internet of Things (IoT), offer innovative and promising solutions to address these challenges. This study focuses on LoRaWAN, a prevalent Low-Power Wide-Area-Network (LPWAN) IoT technology, examining its application in crop and livestock farming as well as its associated cybersecurity challenges. LoRaWAN IoT systems were constructed for three application …
Multi-Source Remote Sensing–Based Soil Moisture Prediction Using Machine Learning, Niraj Neupane
Multi-Source Remote Sensing–Based Soil Moisture Prediction Using Machine Learning, Niraj Neupane
Electronic Theses and Dissertations
Soil moisture (SM) plays a central role in climatic and environmental processes, influencing shear strength of soil, agricultural productivity, land–atmosphere interactions, and hydrologic functioning. However, accurately estimating SM across diverse climatic regions remains challenging due to spatial heterogeneity, limited in situ measurements, and inconsistencies in sensor resolution. Machine learning (ML) and remote sensing offer promising avenues for improving SM prediction, yet many existing approaches struggle with generalization across climatic gradients and often fail to capture temporal variability. This study integrates multi-source satellite and climate datasets, including SMAP L4_SM, MODIS land surface temperature, Daymet meteorological variables, and in situ observations from …
Spatiotemporal Habitat Use, Sex-Specific Movement, And Site Fidelity Of Walleye In Lake Sharpe, Sd, Carter S. Dollen
Spatiotemporal Habitat Use, Sex-Specific Movement, And Site Fidelity Of Walleye In Lake Sharpe, Sd, Carter S. Dollen
Electronic Theses and Dissertations
Walleye Sander vitreus are a popular sportfish among anglers in South Dakota with large economic impacts to local communities. A popular destination for Walleye anglers is Lake Sharpe, a 25,000-ha reservoir on the Missouri River, in central South Dakota. Gill net catches in Lake Sharpe show high annual variation, prompting concern that gill net catch rates may be poorly related to population abundance. A better understanding of Walleye movement and distribution could lead to increased precision in annual abundance estimates and improved active management that increases angler success. The goals of this study were: 1) determine spatiotemporal movement patterns of …
Quantitative Assessment And Validation Of Thermal Profiles In The Protodune-Ii Horizontal Drift Detector Using Computational Fluid Dynamics, Hunter Wallster
Quantitative Assessment And Validation Of Thermal Profiles In The Protodune-Ii Horizontal Drift Detector Using Computational Fluid Dynamics, Hunter Wallster
Electronic Theses and Dissertations
The Deep Underground Neutrino Experiment (DUNE) aims to advance understanding of neutrino properties using large liquid Argon time projection chambers (LArTPCs). The ProtoDUNE-II Horizontal Drift (HD) detector, constructed at CERN in Switzerland, serves as 1:20 scale prototype to validate design and operational parameters for DUNE’s Far Detectors. Accurate prediction of cryostat thermal behavior is critical to predicting liquid Argon purity distributions and detector performance, motivating the development of a validated computational fluid dynamics (CFD) model. This research extends previous work at South Dakota State University by constructing a higher-fidelity CFD simulation of ProtoDUNE-II HD using Siemens Simcenter StarCCM+® 19.04.007. Geometry …
Mid-Scale Rover Gravity Offloader (Mrgo): Design, Implementation, And Experimental Validation, Alexander Schaar
Mid-Scale Rover Gravity Offloader (Mrgo): Design, Implementation, And Experimental Validation, Alexander Schaar
Electronic Theses and Dissertations
This thesis presents the design, implementation, and validation of the Mid Scale Rover Gravity Offloader (MRGO), a terrestrial testbed developed to simulate partial-gravity conditions for planetary rover testing within a three-dimensional environment. The MRGO enables consistent, user-defined offloading force as a rover drives freely within a 20 by 18 ft test area, while a stepper motor rail gantry autonomously tracks the rover’s motion and maintains overhead alignment. Mounted to the moving gantry is a vertical carriage column that houses the offloading mechanism, which accommodates up to 5 ft of vertical displacement without loss of force accuracy. This configuration allows realistic …
Formulation And Immunogenicity Of L1 Orf1 Mrna Vaccine In Mice, Raj Nandani
Formulation And Immunogenicity Of L1 Orf1 Mrna Vaccine In Mice, Raj Nandani
Electronic Theses and Dissertations
This dissertation presents the design, formulation, and immunogenicity evaluation of a novel mRNA vaccine targeting the L1 ORF1p protein, a tumor-associated antigen. The vaccine was synthesized using in vitro transcription and encapsulated in lipid nanoparticles (LNPs), with both unmodified uridine and N1-methylpseudouridine variants tested. Physicochemical characterization confirmed optimal particle size (160–220 nm), acceptable zeta potential, and encapsulation efficiency ranging from 74% to 92%, with preserved RNA integrity post-formulation. These results validate the robustness of the formulation workflow and its suitability for antigen delivery. Immunogenicity studies in C57BL/6 mice revealed modest but promising immune responses. While early activation markers (CD69) and …
Development Of Bio-Based Coating Materials For Environmentally Friendly Controlled-Release Nitrogen Fertilizer Applications, Anne Carolyne Mendonca Cidreira
Development Of Bio-Based Coating Materials For Environmentally Friendly Controlled-Release Nitrogen Fertilizer Applications, Anne Carolyne Mendonca Cidreira
Electronic Theses and Dissertations
No abstract provided.
Discovery Of Photosynthetic Oxic N2-Fixation In Cyanobacteria Using Wet Lab And Machine Learning Approaches, James A. Young Iii
Discovery Of Photosynthetic Oxic N2-Fixation In Cyanobacteria Using Wet Lab And Machine Learning Approaches, James A. Young Iii
Electronic Theses and Dissertations
No abstract provided.
Computation-Efficient Deep Learning Models For Computer Vision And Multimodal Vision-Language Tasks Via Network Pruning, Abir Mohammad Hadi
Computation-Efficient Deep Learning Models For Computer Vision And Multimodal Vision-Language Tasks Via Network Pruning, Abir Mohammad Hadi
Electronic Theses and Dissertations
With the rapid evolution of deep neural networks over the past decade, the demand for efficient, generalizable, and task-adaptable models, especially in computer vision, has increased significantly. To address the computational and deployment challenges posed by overparameterized models, the research community has extensively explored model compression techniques such as pruning, quantization, and distillation. These approaches aim to enhance model efficiency without compromising performance, particularly when adapting to domain-specific tasks under limited resources. This dissertation investigates several underexplored yet critical aspects of task-aware deep learning model compression, spanning both convolutional and vision-language architectures. In the early part of this work, we …
Characterizing A Free-Roaming Cat Population To Predict Predation Of Threatened Species In An Island Ecosystem, Sarah Gheida
Characterizing A Free-Roaming Cat Population To Predict Predation Of Threatened Species In An Island Ecosystem, Sarah Gheida
Electronic Theses and Dissertations
No abstract provided.
Effects Of Peel Angle And Strain Rate On The Bond Between Frcm Composite And Concrete Substrate, Lucas Robert Gervais
Effects Of Peel Angle And Strain Rate On The Bond Between Frcm Composite And Concrete Substrate, Lucas Robert Gervais
Electronic Theses and Dissertations
Fiber-reinforced cementitious matrix (FRCM) composites have gained increasing attention for the rehabilitation and strengthening of concrete and masonry structures due to their favorable mechanical properties, compatibility with existing substrates, and ease of application. The effectiveness of any strengthening procedure depends on the quality of the bond between the external reinforcement and the substrate, ensuring efficient stress transfer and enabling the system to reach its ultimate capacity without premature debonding. While research has focused on the bond performance of FRCM systems under pure shear loading and quasi-static, low strain rate conditions, the effects of mixed-mode loading and high strain rates representative …