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Modeling Capillary-Gravity Wave Scattering With Contact Lines And Meniscus, Guoqin Liu

Electronic Theses and Dissertations

Capillary–gravity wave scattering is crucial in fluid systems governed by gravitational and surface tension forces, yet classical theories often neglect key boundary and geometric effects. This dissertation examines two influential mechanisms—dynamic contact line conditions and meniscus curvature—that significantly affect wave behavior at smaller scales.

First, a semi-analytical framework is presented to show how dynamic contact lines, modeled by an effective-slip boundary, alter wave reflection and transmission around a fixed, semi-immersed cylindrical barrier. Using linear potential flow theory combined with conformal mapping and integral-equation methods, the study quantifies how barrier geometry, Bond number, and slip parameters shape energy dissipation. It identifies …

Careers On The Spectrum: Enhancing Higher Education Career Services For First-Generation Neurodivergent College Students, Shyra Jannay Lynch

Electronic Theses and Dissertations

This study investigates the unique career service needs and experiences of first-generation neurodivergent college students (FGNCS) at the University of Mississippi. First-generation college students (FGCS), as the first in their families to attend college, often face distinct challenges in navigating higher education due to limited familial support and unfamiliarity with academic resources. Meanwhile, neurodivergent students, those with conditions such as autism spectrum disorder, ADHD, and various cognitive differences, encounter unique barriers related to sensory sensitivities, communication, and social integration within academic and career environments. At the intersection of these identities, FGNCS encounter distinct challenges in career services that may not …

Advancing Pharmaceutical Manufacturing: Innovative Applications Of Hot Melt Extrusion For The Preparation Of Drug Complexes And Fixed Dose Combination Immediate Release Formulation With Diverse Crystalline Properties, Sivaram Munnangi

Electronic Theses and Dissertations

This research encompasses three distinct studies focusing on innovative applications of pharmaceutical manufacturing processes. The first investigation explores the implementation of solvent-free hot-melt extrusion (HME) to enhance the solubility and dissolution of Ibuprofen (IBU) through the formation of cyclodextrin inclusion complexes. Molecular docking and phase solubility studies confirmed the hosting of IBU in Hydroxypropyl-β-cyclodextrin (HPβ-CD). A twin-screw co-rotating extruder aided complex formation, and a Quality by Design (QbD) approach, using a Box-Behnken design, systematically studied the impact of process variables on solubility and dissolution. The second study delves into abuse-deterrent formulations (ADFs) employing ion-exchange resin complexation as a chemical barrier. …

Meeting The Mandate: An Applied Research Study On Improving Student Success In Advanced Placement Courses., Heather Bryan

Electronic Theses and Dissertations

Educational policy influences the landscape of American public schools. School leaders are tasked with navigating change and addressing unforeseen repercussions stemming from shifts in educational policy. As Mississippi moved to integrate Advanced Placement courses in all high schools, school leaders were tasked to comply and provide systems of support for school and student achievement. These unintended consequences led to an adjustment in expectations and rigor in all classrooms. This applied research study with program evaluation aimed to mitigate this change and support not only Advanced Placement students, but all students, to facilitate student growth and achievement. The program sought to …

Video Comprehension Score (Vcs): A Metric For Long-Form Video Description Evaluation, Harsh Dubey

Electronic Theses and Dissertations

Existing video description evaluation metrics fail to capture the long-range chronology and semantic alignment essential for long-form descriptions. An effective evaluation metric for long-form descriptions must (i) assess global thematic alignment, (ii) measure local semantic alignment, and (iii) evaluate chronological alignment while detecting corrupted content. We introduce Video Comprehension Score (VCS), a reference-based metric, which directly addresses these evaluation requirements through three components: Global Alignment Score for thematic alignment, Local Alignment Score for local semantic alignment, and Narrative Alignment Score for chronological alignment with adjustable tolerance. We evaluate VCS on two large-scale synthetic datasets designed to test corruption detection and …

Molecular Dynamics Simulation Of Thermal Properties Of Single Walled Carbon Nanotubes, Shiv Nath Jha

Electronic Theses and Dissertations

Molecular dynamics (MD) simulations are a powerful tool for investigating the thermal behavior of carbon nanotubes (CNTs), which are renowned for their exceptional thermal conductivity and potential in nanoscale thermal management applications. This study employs the open-source software LAMMPS, in conjunction with VMD for model generation, to explore the thermal transport properties of (10,10) single-walled carbon nanotubes (SWCNTs) using non-equilibrium molecular dynamics (NEMD). The thermal conductivity of SWCNTs was evaluated across four tube lengths (5 nm, 10 nm, 20 nm, and 40 nm) and at temperatures ranging from 300 K to 600 K under two distinct boundary conditions: free boundary …

Quantifying Landscape Variability Of Dynamic Soil Properties In The James River Valley, Eastern South Dakota, Sage Reuter-Schmitt

Electronic Theses and Dissertations

Dynamic soil properties (DSP) are a great tool for monitoring land-use change, and they are frequently used as soil health metrics. The NRCS and other soil researchers often use repeating, single-point or nested-point DSP studies to monitor and better understand the effects of land management decisions. While these studies capture the temporal variability of DSPs, they overlook the field-scale spatial variability of DSPs. Soil organic carbon (SOC) provides critical services to the ecosystem and other environments. These traits, as well as its susceptibility to management decisions, make SOC an important soil health indicator and DSP. Measuring SOC is often time …

The Spatial And Temporal Dimensions Of Plant–Soil Feedback In Native Perennial Monocultures, Bret Lang

Electronic Theses and Dissertations

Plant-soil feedbacks (PSFs) describe how plants change their soil environment in ways that can either negatively or positively affect subsequent plant growth. In doing so, they offer an opportunity to connect ecological processes with agricultural practice. My dissertation examines PSFs created by native perennial monocultures, commonly used for native seed production, across time and space, and through soil legacies. Specifically, I focus on how plant species identity shapes both soil nutrient and soil microbial community responses. To address these questions, I conducted field experiments with monocultures of five forb species native to South Dakota and established plots with these species …

Arithmetic Ramsey Theory In Algebraic Settings, Gauree Wathodkar

Electronic Theses and Dissertations

Arithmetic Ramsey theory is an area of combinatorics that deals with finding structures in large subsets of integers, dating back to at least Hilbert (1892). One of the early results in this area is Schur’s theorem (1917) that pioneered the concept of partition regularity. In 1933, Schur’s student Rado generalized his theorem and proposed a conjecture for partition regular equations. This was settled by Deuber in 1973. The first part of this dissertation is to generalize this conjecture in infinite integral domains.

For non-partition regular equations Rado gave a Boundedness conjecture in the integers. While this conjecture is still open, …

Physiological And Genetic Studies Of Hydrotropism In The Maize Primary Root, Muyu Gu

Electronic Theses and Dissertations

No abstract provided.

Simplified Regional-National Dsge Models For U.S. State-Level Analysis, Michael Telkamp

Electronic Theses and Dissertations

This thesis develops a series of simplified Dynamic Stochastic General Equilibrium (DSGE) model variants to analyze macroeconomic dynamics at the U.S. state level. Using South Dakota as a case study, I extend the Smets and Wouters (2007) mediumscale framework by implementing state-specific output, labor, consumption, investment, and wages into a dual-economy structure, where the state is modeled as a closed economy influenced by national-level shocks. The models are estimated using Bayesian techniques on quarterly data from 2007 - 2020. Model performance is evaluated through impulse response functions and variance decompositions. A key result is that South Dakota exhibits firm habit …

Optimizing Heifer Development On Dormant Rangelands By Integrating Precision Livestock Technologies With The Range Supplementation Model And The Evaluation Of Short-Term Rotations Of Precision Technology On Plant Communities, Hadley Ann Dotts

Electronic Theses and Dissertations

Heifer development on dormant rangelands offers a cost-effective alternative to feedlot or drylot systems. However, traditional bunk supplementation methods often result in uneven intake, inefficient feed use, and ecological degradation around static feeding sites. This thesis evaluated the integration of precision livestock technologies and a dynamic Range Supplementation Model to improve individual animal performance, weight uniformity, and rangeland sustainability in extensive heifer development systems in the Northern Great Plains. The first study involved a seven-month trial (November 2023–May 2024) with 50 yearling Angus heifers grazing dormant native rangelands at the SDSU Cottonwood Field Station. Heifers were stratified into two treatments: …

Functional Data Analysis And Spatial Analysis For On-Farm Strip Trials, Peter Claussen

Electronic Theses and Dissertations

Collaborative on-farm trials of agronomic practices have been an established method of interaction between researchers and their target audience (the farmers). With the advent of precision agriculture practices, the on-farm strip trial has become a popular method of collaborative research. Precision agriculture practices allows farmers to precisely control the application of an agronomic product or practice to specific strips in a cropland, and to leave as standard practice strips, or check strips, intermingled with the test strips. In spite of their popularity, there has been little development in the methods of analyzing strip trials. In this thesis, two examples of …

Testing The Effect Of Source And Environment On Native Seed Germination To Inform Seed-Based Restoration Of Grasslands, Brandon Clark

Electronic Theses and Dissertations

Grasslands are one of the most endangered ecosystems on the planet, and they provide a variety of important ecosystem services that people rely on. Losses of grasslands can be mitigated through restoration. Seed-based restoration is a regularly used practice due to its practicality and cost-effectiveness. Planting non-local seed that may not be suitable for its destination environment can have consequences in plant establishment and subsequent restoration success. This experiment tested the response (final germination and germination rate) of seed from 11 perennial tallgrass species sourced from 3 different locations to different germination temperature conditions. Seeds from three sources of each …

Refinement Of Trend-To-Trend Cross Calibration Total Uncertainties Utilizing Extended Pseudo Invariant Calibration Sites (Epics) Global Temporally Stable Target, Minura Samaranayake

Electronic Theses and Dissertations

Cross-calibration is an essential technique for calibrating Earth Observation satellite sensors, which involves taking nearly simultaneous images of a ground target to compare uncalibrated sensor to a well-calibrated reference sensor. This study introduces the hyperspectral Trend-to-Trend (T2T) cross-calibration technique utilizing EPICS Cluster 13 Global Temporally Stable (Cluster 13-GTS) as the calibration target, offering better temporal stability than previous targets used in T2T cross-calibration by an absolute difference of 0.4%, between coefficients of variation across all bands excluding CA band. A multispectral sensor-specific normalized hyperspectral profile was developed using the EO-1 Hyperion hyperspectral profile over Cluster 13-GTS to improve Spectral Band …

Exploring Tpack To Foster Student Engagement: A Self-Study In A Rural School Secondary Mathematics Classroom, Sindhu Aravind

Electronic Theses and Dissertations

In recent years, the integration of technology into education has transformed teaching practices, enhancing student engagement and providing new opportunities for differentiated learning. However, this shift presents a unique challenge in rural schools, where limited resources and infrastructure can hinder the effective implementation of technology. To investigate these challenges, I conducted a qualitative self-study to explore how technology integration, guided by the TPACK framework, impacts student engagement and learning in a secondary mathematics classroom. This study also examined the teacher’s experience in planning, implementing, and adapting technological tools to address the diverse needs of students, particularly in under-resourced environments. For …

On Planar Brownian Motion Singularly Tilted Through A Point Potential, Barkat Mian

Electronic Theses and Dissertations

We construct a family of time-inhomogeneous two-dimensional diffusion processes, defined over a finite time interval [0, T]. These diffusions have transition density functions that are given by the integral kernels of the semigroup corresponding to the two-dimensional Schrödinger operator with a point potential at the origin. Although, in a few ways, our processes of interest are closely related to two-dimensional Brownian motion, they have a singular drift pointing in the direction of the origin that is strong enough to enable the possibility of visiting there with positive probability. Our main focus is on characterizing a local time process at the …

High-Resolution And Time-Efficient Infiltration Rate Estimating Technique Using Geophysical Emi And Hydrogeological Modeling, Md Abdus Samad

Electronic Theses and Dissertations

Information on infiltration rates is crucial for developing climate-resilient infrastructure, optimizing irrigation in agricultural management, and tackling stormwater-related hazards. However, rapid urbanization and climate change are expected to exacerbate these risks. Therefore, proper assessment and understanding of infiltration capacity is essential for designing effective soil conservation strategies aimed at enhancing infiltration, reducing erosion, and supporting sustainable land and water management. Despite the importance, traditional methods such as single ring and double ring infiltrometer (DRI) test are limited by spatial resolution and time inefficiency, often fail to capture spatial heterogeneity across large areas.

To address these limitations, this research developed a …

Measurement Of Forces In Standing Wave Ultrasonic Fields, Milan Rai

Electronic Theses and Dissertations

The acoustic radiation force provides the physical mechanism for the non-contact levitation and manipulation of particles in ultrasonic standing wave fields. This thesis presents a study on the measurement, simulation, and validation of acoustic radiation forces acting on spherical particles levitated in air. The motivation for this work is to provide high-precision measurements of acoustic radiation forces in trapping systems, which are of particular interest in biomedical manipulation, materials science, and contactless assembly.

The study employs a three-part methodology: theoretical analysis, experimental observation, and numerical simulation. Theoretically, the acoustic radiation force was derived from Gor’kov’s potential (valid for ka « …

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 …

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 …

Quantifying Avian And Vegetation Communities On Agricultural Conservation Easement Wetlands In Eastern South Dakota, Katherine Millman

Electronic Theses and Dissertations

The Prairie Pothole Region of eastern South Dakota contains numerous small depressional wetlands, colloquially known as potholes, that provide important ecosystem services, including water storage, water quality improvement, and wildlife habitat. The Agricultural Conservation Easement Program (ACEP) was established by the U.S. Department of Agriculture to protect and restore wetlands and grasslands on private land through easements such as Wetland Reserve Easements. Although ACEP requires management practices intended to maintain or improve habitat quality, few studies have evaluated their effectiveness at supporting wildlife communities and vegetation integrity. To address this gap, we evaluated wetlands at 30 ACEP sites and 20 …

Enhancing Alfalfa Persistence In Rangelands: Evaluating Morphological Traits Of Medicago Sativa Subsp. Falcata Germplasm, Abdulallah Mohammed Alomair

Electronic Theses and Dissertations

Rangelands cover nearly half of the Earth’s surface, representing about 54% (79 million km2), and occur in different types and climates worldwide. Alfalfa (Medicago sativa L.) is a major component in rangelands and covers about (320 thousand km2), representing about 0.4% of total global rangeland area. As a critical perennial legume crop, alfalfa can improve soil health by fixing approximately 336 kg/ha/year of nitrogen and sequestering up to 614 kg/ha/year of carbon, while enhancing livestock production due to its high content level of vitamins, magnesium, minerals, fiber, and protein. However, environmental stresses such as drought, freezing, and grazing limit alfalfa …

Deep Learning Approaches For Predicting Strain Energy In Heterogeneous Materials, Junesh Gautam

Electronic Theses and Dissertations

Finite Element Analysis (FEA) faces computational challenges when analyzing nonlinear and heterogeneous materials. Utilizing the Mechanical MNIST dataset, comprising 60,000 simulated samples of 28x28 pixel domains under large deformation, the study evaluates classical regression methods (Linear Regression, Random Forest, Gradient Boosting) and advanced deep learning architectures (Convolutional Neural Networks (CNN) and Residual Networks (ResNet)). CNN models achieved superior performance, with a Mean Squared Error (MSE) of 4.21 and an R2 value of approximately 0.982, outperforming classical regression models and slightly surpassing ResNet architectures. These deep learning methods automatically learn spatial relationships from pixel-based representations, eliminating the need for manual feature …

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. …

Prospective Use Of Detection Dogs As A Screening Tool For Mycoplasma Ovipneumoniae In Bighorn Sheep (Ovis Canadensis), Michele C. Lovara

Electronic Theses and Dissertations

Mycoplasma ovipneumoniae is a bacterium that can spill over from domestic sheep (Ovis aries) to bighorn sheep (Ovis canadensis), with effects in bighorn sheep ranging from low to no lamb recruitment to whole-herd all-age die-offs from resulting pneumonia. Fast and reliable pathogen or disease detection is essential for managing outbreaks in bighorn sheep and emergences in affected populations. Detection dogs are increasingly being enlisted to close gaps and further complement various disease, pathogen and virus research and response efforts. This thesis explores the use of conservation detection dogs as a potential tool for M. ovipneumoniae surveillance in bighorn sheep through …

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

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, …

Evaluation Of Strip-Tillage And Banded Phosphorus And Potassium Fertilizer For Corn Production In Eastern South Dakota, Charles N. Tesch

Electronic Theses and Dissertations

In South Dakota, the adoption of no-till and other conservation tillage practices has grown in recent years. However, conventional tillage is still a common practice in the eastern third of the state, negatively affecting soil health and the environment. Strip-tillage has gained interest in this region as a way to transition to conservation tillage while retaining some benefits of conventional tillage. Strip-tillage also provides the ability to subsurface band nutrients, particularly phosphorus (P) and potassium (K) fertilizers within the tillage strip, potentially improving nutrient accessibility and recovery while reducing environmental risks. This study aimed to investigate (i) the effects of …

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 …