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Taking Flight: Utilizing Unmanned Aerial Systems To Sample Insects In Soybean, William "Covey" Lockhart May 2025

Taking Flight: Utilizing Unmanned Aerial Systems To Sample Insects In Soybean, William "Covey" Lockhart

Theses and Dissertations

Insect scouting in soybean is a labor-intensive task but is needed throughout the season to minimize losses. When soybeans are tall, soils are wet, or soybeans are planted in narrow rows, walking through these fields can be difficult. To overcome these limitations of manual sampling, an unmanned aerial vehicle (UAV) sampling platform was developed that can collect insects in a sweep net attached to the bottom of a UAV. This system has been named the “Drone Insect Net Sampling System” (DINSS). Previous research with this system has shown positive correlations to traditional manual sampling methods. To improve this system, modifications …

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Impact Of Circular And Non-Circular Nozzle Exit Geometries On Jet Flow Propagation And Turbulence Characteristics, Hiba Maazioui May 2025

Impact Of Circular And Non-Circular Nozzle Exit Geometries On Jet Flow Propagation And Turbulence Characteristics, Hiba Maazioui

Theses and Dissertations

This thesis aims to investigate the impact of nozzle exit geometry on jet flow propagation and turbulence characteristics. Computational fluid dynamics simulations were performed using ANSYS Fluent, employing the Reynolds-Averaged Navier-Stokes (RANS) approach, to compare circular, elliptic, and rectangular nozzle geometries. The analysis focused on velocity distributions, turbulence characteristics, and cross-flow interactions. Results indicate that circular jets have the longest potential core and slowest velocity decay, reflecting lower mixing rates. In contrast, elliptic and rectangular jets have shorter potential cores, faster velocity decay, and elevated TKE peaks, suggesting enhanced turbulence and mixing. These findings highlight the significant role of nozzle …

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Advancing Wood Chip Moisture Content Prediction Using Advanced Generative Ai Techniques, Daniel Esteban Marulanda May 2025

Advancing Wood Chip Moisture Content Prediction Using Advanced Generative Ai Techniques, Daniel Esteban Marulanda

Theses and Dissertations

In this study we propose a deep learning method to optimize the classification of wood chip moisture content levels using the Vision Transformer and then ultimately increase the classification performance by creating synthetic images using the diffusion transformer model. In the first chapter of our study, we complete a detailed explanation of how the moisture content levels of 10 different wood chips were gathered ranging from 2 to 50$\%$. This chapter serves as a foundation for subsequent sections, illustrating the challenges associated with the current data collection process, which is both time-consuming and inefficient. Accurately determining moisture content for wood …

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A Rapid Artificial Neural Network Interatomic Potential For Bismuth, Lee Michael Mayfield Jr. May 2025

A Rapid Artificial Neural Network Interatomic Potential For Bismuth, Lee Michael Mayfield Jr.

Theses and Dissertations

To study molecular dynamics in bismuth, Quantum Espresso was used to create a density functional theory (DFT) database which was then used as the input for rapid artificial neural network (RANN). The RANN interatomic potential that was developed using this database was then validated. Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) was used to create simulations and gather data using the RANN potential. The properties of bismuth, including elastic constants, melting points, and volume change, were calculated and compared to DFT and experimentally observed data. The RANN potential coincided well with these values. The RANN potential shows good predictive capabilities for …

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The Effects Of Alfaxalone, Alone Or With Butorphanol, On The Ultrasonographic Appearance Of The Feline Spleen, Grace Mcbride May 2025

The Effects Of Alfaxalone, Alone Or With Butorphanol, On The Ultrasonographic Appearance Of The Feline Spleen, Grace Mcbride

Theses and Dissertations

The sonographic effects of alfaxalone and butorphanol alone and in combination on feline splenic size, shape, margins, echogenicity, echotexture, and blood flow were investigated. In this randomized, prospective crossover study, 8 healthy adult cats were injected with alfaxalone 2.0 mg/kg IM, butorphanol 0.2 mg/kg IM, and each drug in combination. Splenic ultrasounds were performed before drug administration, then every 15 minutes for 1 hour. Heart rate, respiratory rate, and feline multiparametric sedation scores (FMSS) were recorded. Following at least a 7-day washout period, cats switched groups and the study was repeated. An increase in splenic size and no significant changes …

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From Tree Rings To Streamflow: Reconstructing The Hydroclimatic History Of The Mississippi River Basin Over The Past Millennia, Brandon Mcdaniel May 2025

From Tree Rings To Streamflow: Reconstructing The Hydroclimatic History Of The Mississippi River Basin Over The Past Millennia, Brandon Mcdaniel

Theses and Dissertations

The Mississippi River Basin (MRB), the largest watershed in the United States, plays a central role in shaping regional hydroclimate. This study reconstructs streamflow variability in the MRB from the year 1200 to 2005 by applying principal component regression to streamflow data from 51 gauges and the North American Drought Atlas (NADA), a tree-ring-based reconstruction of the summer self-calibrating Palmer Drought Severity Index. Verification statistics indicated strong predictive skill across the domain. These findings provide critical insight into long-term hydroclimatic variability in the MRB and underscore the value of paleoclimate records for improving water resource assessments.

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Integration Of Machine Learning Techniques With Computational Fluid Dynamics For Enhanced Backward-Facing Step Flow, Yahya Mekkaoui May 2025

Integration Of Machine Learning Techniques With Computational Fluid Dynamics For Enhanced Backward-Facing Step Flow, Yahya Mekkaoui

Theses and Dissertations

This research presents a novel integrated framework combining computational fluid dynamics (CFD) with machine learning techniques to enhance the analysis of backward-facing step flows. A high-fidelity OpenFOAM CFD simulation was developed and validated against experimental data, accurately predicting the reattachment length (��/�� ≈ 6.18) and velocity profiles throughout the domain. Machine learning models, including Random Forest, Gradient Boosting, and Support Vector Regression, were integrated through a robust data pipeline, with the ensemble approach demonstrating superior performance (RMSE of 1.18 m/s, ��2 of 0.951). Feature importance analysis revealed pressure (32%) and turbulent kinetic energy (28%) as the dominant physical parameters governing …

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Evaluating The Use Of Translucency Score As An Effective Parameter Of Eggshell Quality, Cassidy Autumn Morris May 2025

Evaluating The Use Of Translucency Score As An Effective Parameter Of Eggshell Quality, Cassidy Autumn Morris

Theses and Dissertations

The objective of this thesis was to determine if an egg’s translucency score (TS) could be used as an effective predicting parameter to determine eggshell quality in both broiler breeders and commercial laying hens. In broiler breeders, it was determined that TS could be used as an effective predicting parameter for eggshell thickness (P< 0.001) and L* scores (P< 0.001). It was also found that the supplementation of organically sourced trace minerals could significantly decrease the TS of eggs, resulting in a better-quality eggshell (P< 0.001). In two different aged commercial laying hen experiments, there was no conclusive evidence for TS to be a predictive parameter of eggshell quality throughout the storage period. It was found, however, that the storage period did significantly increase the TS throughout storage in both experiments (P< 0.001).

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Investing In Your Own: How University Leaders Should Aim To Invest To Retain Quality Staff In Undergraduate Recruitment Offices, Grant Alexander Nerren May 2025

Investing In Your Own: How University Leaders Should Aim To Invest To Retain Quality Staff In Undergraduate Recruitment Offices, Grant Alexander Nerren

Theses and Dissertations

This quantitative narrative inquiry study examined the experiences of undergraduate recruitment professionals, and the impact institutional investment can influence staff retention of these professionals within higher education. Using Job Embeddedness Theory often applied within private industry and Bolman and Deal’s (2017) human resource theoretical framework, the research question was: To what extent are specific dimensions (support, compensation, professional advancement) of institutional investment related to the retention of undergraduate recruitment professionals within higher education? Data were collected using an anonymous online survey that was shared with potential participants via email. Responses were analyzed through SPSS software using item-level and composite score …

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The Role Of Enso Diversity In Modulating Tornadic Activity In The United States, Davis Boyd Newton May 2025

The Role Of Enso Diversity In Modulating Tornadic Activity In The United States, Davis Boyd Newton

Theses and Dissertations

Tornado activity in the United States is influenced by large-scale climate patterns, especially by the El Niño-Southern Oscillation (ENSO). While prior research has explored ENSO’s impact on severe weather, the influence of ENSO flavors, Central Pacific (CP) and Eastern Pacific (EP), on tornadic activity remains understudied. Using tornado records, reanalysis data, and sea surface temperature anomalies, we assess how convective available potential energy (CAPE), wind shear, and jet stream dynamics influence tornado frequency and distribution. Results indicate that CP La Niña years had significant increases in tornado frequency, particularly across the Midwest, Central Plains, and Southeast. EP ENSO years had …

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Atomistic Modeling Of Mg And Al Systems Using Rapid Artificial Neural Network Derived Interatomic Potential, Edward Omozusi Obasuyi May 2025

Atomistic Modeling Of Mg And Al Systems Using Rapid Artificial Neural Network Derived Interatomic Potential, Edward Omozusi Obasuyi

Theses and Dissertations

Machine learning derived interatomic potentials have proven to be effective tools in simulation that mimic the accuracy of ab-initio calculations to the sub meV/atom level. They offer the advantage of computational speed operating at linear scaling with respect to the system’s size making them more efficient than classical potentials like MEAM (modified embedded atom methods). In this work, interatomic potentials are created based on the rapid artificial neural network (RANN) formalism for magnesium (Mg), Aluminum (Al) and their alloys. From previous works, the RANN formalism produces high-fidelity atomic models with accurate force fields for several metals, offering new insights into …

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Machine Learning Classification Of Drones, Birds, And Bird-Like Drones Using Radar Micro-Doppler, Camera Imagery, And Radar-Camera Fusion, Kester Magalong Nucum May 2025

Machine Learning Classification Of Drones, Birds, And Bird-Like Drones Using Radar Micro-Doppler, Camera Imagery, And Radar-Camera Fusion, Kester Magalong Nucum

Theses and Dissertations

Counter-drone systems employ sensors such as radars and cameras to detect, track, and identify drones. These systems can confuse birds with drones, and the advent of bird-like drones exacerbates this problem. This thesis explores radar micro-Doppler, camera imagery, and their fusion for drone and bird classification. First, micro-Doppler models of quadcopters, birds, and bird-like drones were developed to generate a dataset of synthetic spectrograms for training support vector machine, k-nearest neighbors, Naïve Bayes, and convolutional neural network (CNN) classifiers. Second, transfer learning was applied on YOLOv10, a recently developed You Only Look Once object detector model, to detect and classify …

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Earth Analogue Analysis Of Volcanic/Tectonic Interactions With Applications To Venusian Stresses, Michael Ortigoza May 2025

Earth Analogue Analysis Of Volcanic/Tectonic Interactions With Applications To Venusian Stresses, Michael Ortigoza

Theses and Dissertations

Venus shares many geological similarities with Earth, yet its tectonic processes and magma injection mechanisms remain poorly understood. A key question in planetary geology is how effusive volcanism persists despite the intense horizontal compression terrestrial bodies experience over time. To explore these issues, we examine the Spanish Peaks dike swarm in Colorado which serves as an ideal site for investigating magma intrusion under compressive stress conditions. Through field mapping, orientation measurements, and structural analysis, we identify a strong relationship between pre-existing joints and dike orientations, suggesting that these fractures serve as critical magma pathways in compressive regimes. Additionally, evidence of …

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Utilizing Novel Application Methods To Mitigate Antagonism With Combinations Of Auxin And Grass Control Herbicides, Jake Patterson May 2025

Utilizing Novel Application Methods To Mitigate Antagonism With Combinations Of Auxin And Grass Control Herbicides, Jake Patterson

Theses and Dissertations

Auxin and grass control herbicides are often applied in tank mixtures to provide multiple modes of action and to achieve broad-spectrum weed control. Literature indicates that auxin herbicides, when mixed in solution, may antagonize grass control herbicides, resulting in decreased grass weed control compared to the grass herbicide applied alone. Field and laboratory experiments were conducted in 2022, 2023, and 2024 at multiple locations in Mississippi. These experiments had three objectives: 1) evaluate grass weed control with glyphosate and clethodim in response to the simultaneous application with either dicamba or 2,4-D, using a commercially available direct-injection system compared to tank-mix …

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Enhancing Chemical Synthesis For Sustainability And Process Monitoring Utilizing Group Ten Metal Catalysis, Amanda M. Perkins May 2025

Enhancing Chemical Synthesis For Sustainability And Process Monitoring Utilizing Group Ten Metal Catalysis, Amanda M. Perkins

Theses and Dissertations

This thesis explores two sustainable methodologies by modifying established catalytic processes using group ten metal complexes from nickel and palladium. Efforts were made to provide alternatives for processes that often do not follow the principles of green chemistry. In the first project, a nickel(II) N-heterocyclic carbene complex was used to perform catalytic hydrogenation of 2-acetylpyridine under mild conditions. The complex was synthesized and characterized with techniques including mass spectrometry and 1H-NMR. Following this, the reactions were carried out to optimize conditions and yield moderate conversions. For the second project, the Suzuki-Miyaura cross coupling of 7-chlorotryptophan occurred utilizing a palladium complex …

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Stakeholder Opinions On Design And Management Strategies At The Pharr Mounds Site, Lauryn Elizabeth Polito May 2025

Stakeholder Opinions On Design And Management Strategies At The Pharr Mounds Site, Lauryn Elizabeth Polito

Theses and Dissertations

The Pharr Mounds site along the Natchez Trace Parkway is a culturally significant burial location that is visited by thousands each year. This site is home to the remains of an ancient group of individuals that the current Chickasaw Nation are descended. To provide culturally sensitive management strategies, enhance visitor experience, and to analyze the perspectives of others on design solutions, a mixed-method approach including individual interviews and online surveys were used for three main stakeholder groups including members from the Chickasaw Nation, employees from the National Park service, and public site visitors. Questions addressed mound significance, site accessibility, interpretation, …

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Faculty Perceptions And Use Of Open Educational Resources In Postsecondary Stem Classrooms, Gabriel Posadas May 2025

Faculty Perceptions And Use Of Open Educational Resources In Postsecondary Stem Classrooms, Gabriel Posadas

Theses and Dissertations

This study examined how faculty in Science, Technology, Engineering, and Mathematics (STEM) or STEM-related fields perceive and utilize open educational resources (OER) in their classrooms and how faculty characteristics (e.g., age, teaching experience, OER experience) influence their adoption. A quantitative survey was administered to 48 STEM faculty across 8 colleges at a large, southeastern university. Findings revealed that faculty generally acknowledged OER’s benefits, particularly its cost-saving potential, and all faculty without prior OER experience and 86.5% of faculty with OER experience expressed neutral to positive perceptions regarding OER’s ability to reduce financial burdens. Faculty with OER experience also recognized its …

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Design And Evaluation Of Hollow Cross-Laminated Timber With Corrugated Cores: A Structural Perspective, Suman Pradhan May 2025

Design And Evaluation Of Hollow Cross-Laminated Timber With Corrugated Cores: A Structural Perspective, Suman Pradhan

Theses and Dissertations

This study investigates the integration of small-diameter trees (SDT) into cross-laminated timber by developing cellular cross-laminated timber (CCLT) with corrugated panels in the transverse mid-layer. This innovation addresses sustainable building material demands while mitigating forest fire risks associated with SDT. The research progressed through three phases. First, parametric linear finite element modelling (FEM) examined corrugated geometry's influence on CCLT flexural stiffness. Based on these findings and manufacturing constraints, an optimal geometry was designed and fabricated. Experimental testing validated the FEM predictions and demonstrated CCLT's superior normalized modulus of elasticity by density compared to conventional cross-laminated timber (CLT). Second, using modified …

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Removal Of Harmful Algal Bloom Toxin, Microcystin-Lr Via Graphene Coated Polymers, Justin Douglas Puhnaty May 2025

Removal Of Harmful Algal Bloom Toxin, Microcystin-Lr Via Graphene Coated Polymers, Justin Douglas Puhnaty

Theses and Dissertations

This study investigates a novel 3D-printed graphene-coated polymer (GCP) for the removal of Microcystin-LR (MC-LR), a harmful cyanotoxin produced during harmful algal blooms (HABs). While graphene nanoplatelets (GnPs) exhibit high adsorption capacity, their powdered form limits practical application. To address this, GnPs were coated onto 3D-printed poly(lactic acid) (PLA) substrates, enabling enhanced handling for field deployment. Surface characterization using laser confocal microscopy, Raman spectroscopy, and thermogravimetric analysis confirmed GnP distribution and coating uniformity. Batch adsorption experiments revealed pseudo-second-order kinetics, a maximum adsorption capacity (qmax) of 596 μg/g, and adsorption behavior best described by the Langmuir isotherm. Statistical analysis and comparison …

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“Sometimes The World Don’T Give You What You Need”: Black Motherhood And Kinship As Resistance To Necropolitics In Jesmyn Ward’S Bois Sauvage, Hailey N. Reeder May 2025

“Sometimes The World Don’T Give You What You Need”: Black Motherhood And Kinship As Resistance To Necropolitics In Jesmyn Ward’S Bois Sauvage, Hailey N. Reeder

Theses and Dissertations

This thesis explores how Black motherhood and kinship serve as subversive forces within necropolitical landscapes in Jesmyn Ward’s Where the Line Bleeds, Salvage the Bones, and Sing, Unburied, Sing. Drawing on Achille Mbembe’s theory of necropolitics, this study examines how the economic and social constraints of these environments disrupt Black family structures, emphasizing the necessity of kinship for survival. In Where the Line Bleeds, Cille’s absence disrupts traditional family roles, yet kinship networks allow the family to endure. In Salvage the Bones, Esch’s journey redefines the “bad” Black teen mother stereotype, highlighting how kinship offers support amidst stigma. In Sing, …

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The Importance Of Community: An Investigation Of Stress, Coping, And The Value Of Social Support For First Responders, Brian Reid May 2025

The Importance Of Community: An Investigation Of Stress, Coping, And The Value Of Social Support For First Responders, Brian Reid

Theses and Dissertations

People are designed to be in community with others, to work together and share the load and weight of life. First responders are a community that has not emphasized the importance of social support to mitigate and buffer against the stress inherent in their jobs. This study investigates the sources of stress, coping methods, and social support of first responders. Results from the first study show the impact of workplace and family stress on the first responder is impactful from the beginning. The secondary study finds that adaptive coping methods are the preferred method to cope with stress and that …

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Movement, Microhabitat, And Metapopulations: Improving Our Understanding Of Gopher Frog (Rana [Lithobates] Capito) Ecology In Alabama, Krista Michelle Ruppert May 2025

Movement, Microhabitat, And Metapopulations: Improving Our Understanding Of Gopher Frog (Rana [Lithobates] Capito) Ecology In Alabama, Krista Michelle Ruppert

Theses and Dissertations

Gopher frogs (Rana [Lithobates] capito) are a species in decline in the southeastern United States. In Alabama, gopher frogs are a species of greatest conservation need, only known to consistently breed in two ponds in the south of the state; however, efforts to restore breeding ponds and to reintroduce metamorphs throughout their historic range are ongoing. The objectives of this dissertation were to assess trends in gopher frog ecology in Alabama to inform conservation plans. In chapter 2, I used radiotelemetry to assess the post-breeding movements of gopher frogs in 2021 and 2022. I found that frogs in Alabama moved …

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Raad-Llm: Adaptive Anomaly Detection Using Llms And Rag Integration, Alicia Russell-Gilbert May 2025

Raad-Llm: Adaptive Anomaly Detection Using Llms And Rag Integration, Alicia Russell-Gilbert

Theses and Dissertations

Anomaly detection in complex industrial environments poses unique challenges, particularly in contexts characterized by data sparsity and evolving operational conditions. Predictive maintenance (PdM) in such settings demands methodologies that are adaptive, transferable, and capable of integrating domain-specific knowledge. This work presents RAAD-LLM, a novel framework for adaptive anomaly detection, leveraging large language models (LLMs) integrated with Retrieval-Augmented Generation (RAG). This approach addresses the aforementioned PdM challenges. By effectively utilizing domain-specific knowledge, RAAD-LLM enhances the detection of anomalies in time-series data without requiring fine-tuning on specific datasets. The framework's adaptability mechanism enables it to adjust its understanding of normal operating conditions …

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Integrating Case Studies With Meteorologists’ Insight: Assessing Meteorologists’ Perception And Utilization Of Composite Indices, Brianna Marie Salazar May 2025

Integrating Case Studies With Meteorologists’ Insight: Assessing Meteorologists’ Perception And Utilization Of Composite Indices, Brianna Marie Salazar

Theses and Dissertations

Meteorologists from sectors, including broadcast, academia, and operations, use derived composite indices such as 0-1km and 0-3km energy helicity index (EHI), effective-layer supercell composite parameter (SCP), fixed-layer and effective layer significant tornado parameter (STP), in addition to other resources, when developing severe local storm forecasts. This study utilizes the Weather Research and Forecasting (WRF) model to create simulations of composite indices for two tornado-producing events: 31 March 2023 and 3 May 1999. With modifications to geographical location, these simulated scenarios are then utilized in the survey to gauge how meteorologists assess where tornado potential is highest. Additionally, a combination of …

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Application Of Pu Learning In Detection Of Ddos Attacks, Gagana Sathya Narayana Prasad May 2025

Application Of Pu Learning In Detection Of Ddos Attacks, Gagana Sathya Narayana Prasad

Theses and Dissertations

The gcore radar 2024 says, the number of DDoS attacks has been increased by 46% in 12 months. Supervised and unsupervised techniques struggle detecting DDoS attacks due to the scarcity of labeled attack samples and an overwhelming presence of benign traffic. In contrast PU- Learning offers a promising solutions by dividing the data into positive and unlabeled data. This study explores the effectiveness of PU-learning in detecting DDoS attacks by comparing it with unsupervised methods. This method employs PU Bagging, Two Step method and auto-encoder based models to extract meaningful patters from network traffic data, utilizing CICDDoS2017 dataset for evaluation. …

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Ecology And Management Of Alligatorweed (Alternanthera Philoxeroides) And An Associated Thrips Biological Control Agent (Amynothrips Andersoni), Samuel Alec Schmid May 2025

Ecology And Management Of Alligatorweed (Alternanthera Philoxeroides) And An Associated Thrips Biological Control Agent (Amynothrips Andersoni), Samuel Alec Schmid

Theses and Dissertations

Alligatorweed (Alternanthera philoxeroides), native to South America, is a highly invasive aquatic macrophyte that is globally distributed and particularly problematic in the southeastern United States. In the United States, alligatorweed management has a long history, particularly of chemical and biological control. Alligatorweed management saw early success with a South American flea beetle (Agasicles hygrophila), but this agent’s utility has waned. Despite the long history of alligatorweed invasion, several important research questions remain, and the research in this dissertation seeks to answer some of these questions. This research focuses on multiple and diverse aspects of alligatorweed biology, ecology, and management: (1) …

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Assessing The Kinematics And Kinetics About The Knee With An Isokinetic Dynamometer And Force Plates During Field-Based And Lab-Based Trials., Samantha Ann Searles May 2025

Assessing The Kinematics And Kinetics About The Knee With An Isokinetic Dynamometer And Force Plates During Field-Based And Lab-Based Trials., Samantha Ann Searles

Theses and Dissertations

The incidence rate in knee injuries has increased over the last 20 years, with women at a 2-8 times higher incidence rate compared to men. This is likely a result of lower neuromuscular control of the trunk, generating less hip muscle activation, and more reliance on the quadriceps, alongside reduced hip, knee, and dorsiflexion angles, paired with increased knee valgus angles, ground reaction forces (GRF), hip adduction, and knee rotation upon landing from jumps. The focus of this study is to determine if knee kinetics and kinematics during field- and lab-based trials are associated with knee injury predictors. Theoretically, if …

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Measuring What Matters: A Policy Analysis Of Statewide Accountability Systems Through The Lens Of College And Career Readiness, Steven Deandre Shadwick May 2025

Measuring What Matters: A Policy Analysis Of Statewide Accountability Systems Through The Lens Of College And Career Readiness, Steven Deandre Shadwick

Theses and Dissertations

A disconnect exists between statewide accountability systems and college and career readiness (CCR) outcomes measured by the ACT and SAT. The goal of a statewide accountability system is to enable, implement, and support success for all students in areas that demonstrate high academic achievement through federal- and state-mandated metrics. Under the Every Student Succeeds Act (2015), states have been granted flexibility in how to measure CCR via a number of School Quality and Student Success (SQSS) indicators. Through a quantitative correlational design, data were collected from 44 states with ACT and SAT participation rates ≥ 90%, ≤ 10% or closest …

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Projected Future Reservoir Impairment In The Conterminous United States Following Three Climate Change Scenarios, Darren James Shoemaker May 2025

Projected Future Reservoir Impairment In The Conterminous United States Following Three Climate Change Scenarios, Darren James Shoemaker

Theses and Dissertations

Anthropogenic climate change has been associated with reservoir aging and reduced ecosystem function. Communities throughout the world depend on reservoirs for services such as hydropower, drinking water, flood mitigation, and recreational opportunities. Though reservoirs were typically constructed to meet human needs, they are now also acknowledged as supporting biodiverse aquatic communities. Reservoir managers are expected to maintain services and biodiversity demanded by diverse users despite high uncertainty surrounding how climate will influence reservoirs through time. Additionally, data describing reservoir function at broad spatial extents are often either unavailable, incompatible between agencies, or prohibitively resource-intensive to obtain. Expert opinion surveys are …

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Enhancing Profitability In The Air Transport Industry Through Improved Air Passenger Forecasting: A Comparative Analysis Of Arima, Holt-Winters And Lstm Time Series Forecasting Techniques, Megan Skowronek May 2025

Enhancing Profitability In The Air Transport Industry Through Improved Air Passenger Forecasting: A Comparative Analysis Of Arima, Holt-Winters And Lstm Time Series Forecasting Techniques, Megan Skowronek

Theses and Dissertations

Predicting air passenger volumes is crucial for airports and airlines seeking to reduce costs and enhance profitability. Accurate forecasting enables better planning and efficiency improvements within the air transport industry. This study applies LSTM, ARIMA and HW to U.S. air passenger datasets. Each analysis shows a methodology for predicting air passenger volumes across airports, airlines and across airports and airlines simultaneously. ARIMA was found to have limited applicability, since only a subset of the datasets was stationary. LSTM and HW were applicable to all airlines and ARIMA was applicable to no airlines. LSTM had less error compared to HW at …

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