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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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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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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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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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Ai Enabled Autonomic, Safe, And Interactive Intrusion Response System, Damodar Panigrahi May 2025

Ai Enabled Autonomic, Safe, And Interactive Intrusion Response System, Damodar Panigrahi

Theses and Dissertations

The exponential rise in internet usage has precipitated a corresponding surge in cyber threats, underscoring the urgent need for advanced cybersecurity solutions. While traditional intrusion detection systems (IDS) can identify these threats, their inability to self-recover leaves systems vulnerable. Intrusion response systems (IRS) have been developed to address this, aiming to auto- matically restore systems to their desired state post-security breach. However, current IRSs often necessitate manual intervention and may not be su!ciently robust against sophisticated threats. To overcome these limitations, we propose an AI-powered Autonomic, Safe, and Interactive Intrusion Response System called ‘Intrusion Response System Digital Assistant (IRSDA)’. IRSDA …

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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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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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An Overview Of Global Navigation Satellite System Reflectometry In Coastal Wetlands, Luke Andrew Redwine May 2025

An Overview Of Global Navigation Satellite System Reflectometry In Coastal Wetlands, Luke Andrew Redwine

Theses and Dissertations

With rising global temperatures, increasing sea levels, and the accelerated erosion of coastal wetlands, efficient methods for monitoring this vulnerable ecosystem are crucial. Traditional approaches, such as manual surveys, are labor-intensive, hazardous, and invasive to the environment they are attempting to protect, while current remote sensing methods are cost prohibitive and rely on irregular data collection techniques. To address these challenges, a scalable solution is needed for reliable and frequent data collection. This study explores the use of GNSS Reflectometry (GNSS-R) combined with unmanned aerial vehicles (UAVs) to monitor the shifting topology in wetlands with minimal human invasion. By leveraging …

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Investigations Into Fluorescence Of Fluorene Dimers: Linker Impacts And Tuning Potential Through Substituent Addition, Abigail R. Ressler May 2025

Investigations Into Fluorescence Of Fluorene Dimers: Linker Impacts And Tuning Potential Through Substituent Addition, Abigail R. Ressler

Theses and Dissertations

Fluorene-based fluorescing conjugated polymers are being used to develop sensors that show great sensitivity and selectivity, however, important questions about the photophysics of these systems remain unanswered. For example, a fluorescence intensity difference was observed between fluorene dimers linked with either an acetylene (diFA) or phenyl (diFP). The polymers diFA and diFP have similar structures and extinction coefficients, yet diFA yielded a five times higher fluorescence intensity than diFP. In project one, Density Functional Theory (DFT) and Time-Dependent DFT (TD-DFT) were used to calculate the ground and excited states of diFA and diFP. A python code was developed to solve …

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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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Cotton Development, Yield, And Boll Distribution Response To Row Pattern And Plant Density, William Joseph Rutland May 2025

Cotton Development, Yield, And Boll Distribution Response To Row Pattern And Plant Density, William Joseph Rutland

Theses and Dissertations

The effects of row pattern and plant density on the ability of cotton (Gossypium hirsutum L.) to compensate and sustain profitable yields has been evaluated by many studies. However, new varieties exhibiting more vigorous growth and more exaggerated row patterns have yet to be evaluated. Therefore, experiments were conducted in Starkville, MS and Stoneville, MS in 2021 and 2022 to evaluate the influence of 1x1 skip row patterns and plant density on cotton growth, development, yield, boll distribution, and profitability. In 2021 there was no yield response due to plant population. However, in 2022, yields increased as plant density increased. …

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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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Evaluating The Efficiency And Effectiveness Of Drones For Monitoring Animals, Emma Ann Schultz May 2025

Evaluating The Efficiency And Effectiveness Of Drones For Monitoring Animals, Emma Ann Schultz

Theses and Dissertations

Accurate animal population estimates inform effective conservation and management strategies. Drones have become a common tool for animal monitoring. Typical drone flight planning involves image overlap to create an orthomosaic; however, this may lead to animal population estimate errors. To quantify this sampling error, I simulated a range of real-world monitoring scenarios for robust application in assessment of animal counts from drones using agent-based modeling. Scenarios investigated effects of 1) animal densities, 2) animal distributions, 3) animal movements, and 4) drone flight patterns. First, I investigated five animal densities (n = 4, 9, 25, 49, 100 animals/survey area) and three …

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Design And Evaluation Of A 5g Testbed: Analyzing Security Solutions, Iq Sample Management, And Performance Visualization, Mohammed Saleh Shaik May 2025

Design And Evaluation Of A 5g Testbed: Analyzing Security Solutions, Iq Sample Management, And Performance Visualization, Mohammed Saleh Shaik

Theses and Dissertations

The evolution of 5G networks has introduced new opportunities for high-speed, low-latency wireless communication, supporting a wide range of applications from industrial automation to secure data transmission. However, as 5G networks become more complex, ensuring security and maintaining optimal performance present significant challenges. This thesis explores the development of a 5G testbed using Software-Defined Radios (SDRs) and open-source platforms to analyze signal behavior, security implementations, and performance. The testbed, built with the open source srsRAN software library and widely available SDR hardware, serves as a controlled environment for studying 5G communications security features and innovations. To evaluate transmission characteristics, in-phase/quadrature …

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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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Zeroizing Trust In A Naïve Federated Zero Trust Environment, Keith E. Strandell May 2025

Zeroizing Trust In A Naïve Federated Zero Trust Environment, Keith E. Strandell

Theses and Dissertations

The position of the United States on the global stage is predicated on information dominance and the ability to project power through cooperative engagements with mission partners in both wartime and peacetime. Recent cyber-attacks highlighted the need for a more robust cybersecurity posture. As the United States progresses toward the adoption of Zero Trust, it is incumbent on the Department of Defense to assess the impact to the ability to share data across strategic partnerships while securing the data of both the United States and its partners. This paper proposes research into ensuring an environment rooted in Zero Trust and …

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Effects Of Environmental Stress And Antimicrobials On The Health, Microbiome, And Product Shelf-Life Of Channel And Hybrid Catfish, Guyue Tang May 2025

Effects Of Environmental Stress And Antimicrobials On The Health, Microbiome, And Product Shelf-Life Of Channel And Hybrid Catfish, Guyue Tang

Theses and Dissertations

Two studies investigated various aspects of channel and hybrid catfish production and processing. The first study examined the effects of ammonia stress (15 mg/L vs. 1 mg/L control) on growth performance and fillet quality. While channel catfish demonstrated superior growth, ammonia stress minimally impacted the sensory profiles of both species. Gut microbiota analysis revealed species-specific differences, with Lactococcus lactis dominating hybrid catfish communities. The second study evaluated buffered vinegar treatment (1.5%) on fillet shelf life during refrigerated storage. Vinegar-treated fillets maintained better microbiological quality, with aerobic plate counts remaining below 7 log cfu/g through day 6, while untreated fillets exceeded …

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Synthetic Data Augmentation For Retinoblastoma Using Diffusion, Andrew Thompson May 2025

Synthetic Data Augmentation For Retinoblastoma Using Diffusion, Andrew Thompson

Theses and Dissertations

Many AI models rely on large and high quality datasets for optimal training. In certain cases, data can be difficult or expensive to obtain, making training difficult. Rare medical conditions are one of these cases. Datasets for retinoblastoma are severely lacking in quantity. Diffusion has been used to create synthetic data in the industrial, medical, and financial domains. By applying the latest Diffusion methods to retinoblastoma, this work seeks to improve predictive model performance on identifying retinoblastoma.

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A Fine-Tined Bert Model For Improved Querying Of The Unmanned Aerial System Integration Safety And Security Technology Ontology, Minh Hong To May 2025

A Fine-Tined Bert Model For Improved Querying Of The Unmanned Aerial System Integration Safety And Security Technology Ontology, Minh Hong To

Theses and Dissertations

The use of unmanned aerial vehicles (UAS) in all industries is steadily increasing every year. To govern the use of UAS, the Federal Aviation Administration (FAA) seeks to provide a foundation of rules and regulations for UAS operation in the National Airspace System (NAS). The UAS Integration Safety and Security Technology Ontology (ISSTO) was developed using the Web Ontology Language (OWL) in 2023. In 2024, a query application was developed to search ISSTO for information about the safety and security of UAS operations. While the application is functional, the search results can be further fine-tuned to match what the user …

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Estimation Of Soybean Root Traits Using Computer Vision And Deep Learning, Muhammad Usman May 2025

Estimation Of Soybean Root Traits Using Computer Vision And Deep Learning, Muhammad Usman

Theses and Dissertations

Root phenotyping provides insights into root structure, function, and response to environmental stimuli, aiding researchers in improving crop yields, developing new plant varieties, and enhancing plant health. Traditionally, measuring root traits, such as length and area, is manual, time-consuming, and resource intensive. This study introduces a deep learning-based computer vision method for soybean root segmentation and traits estimation using RGB (red, green, blue) images captured under controlled illumination. A separate web-based application was also developed that can extract the root length and area using RGB images. A diverse set of 3,363 soybean root images was collected using an in-house root …

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Evaluating Rainfall Sensitivity Over Land To Tropical Cyclone Parameters Using Idealized Wrf, Madison C. Yawn May 2025

Evaluating Rainfall Sensitivity Over Land To Tropical Cyclone Parameters Using Idealized Wrf, Madison C. Yawn

Theses and Dissertations

Tropical cyclones (TCs) are extreme weather events impacting the United States nearly every year. These events often cause severe damage due to the associated responses they produce including storm surge and rainfall, and the accurate estimation of these TC hazards is necessary to support coastal engineering, risk assessment, and emergency management activities. Evaluating TC-driven hazards is often done in combination with numerical models to simulate how environmental interactions alter the physical processes and responses of these storms. The purpose of this study was to simulate synthetic TC events using the Advanced Weather Research and Forecasting (WRF) model to understand how …

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Assessing Perioperative Risks In A Mixed Elderly Surgical Population Using Machine Learning: A Multi-Objective Symbolic Regression Approach To Cardiorespiratory Fitness Derived From Cardiopulmonary Exercise Testing, Pietro Arina, Davide Ferrari, Maciej R Kaczorek, Nicholas Tetlow, Amy Dewar, Robert Stephens, Daniel Martin, Ramani Moonesinghe, Mervyn Singer, John Whittle, Evangelos B Mazomenos May 2025

Assessing Perioperative Risks In A Mixed Elderly Surgical Population Using Machine Learning: A Multi-Objective Symbolic Regression Approach To Cardiorespiratory Fitness Derived From Cardiopulmonary Exercise Testing, Pietro Arina, Davide Ferrari, Maciej R Kaczorek, Nicholas Tetlow, Amy Dewar, Robert Stephens, Daniel Martin, Ramani Moonesinghe, Mervyn Singer, John Whittle, Evangelos B Mazomenos

Peninsula Medical School

Accurate preoperative risk assessment is of great value to both patients and clinical teams. Several risk scores have been developed but are often not calibrated to the local institution, limited in terms of data input into the underlying models, and/or lack individual precision. Machine Learning (ML) models have the potential to address limitations in existing scoring systems. A database of 1190 elderly patients who underwent major elective surgery was analyzed retrospectively. Preoperative cardiorespiratory fitness data from cardiopulmonary exercise testing (CPET), demographic and clinical data were extracted and integrated into advanced machine learning (ML) algorithms. Multi-Objective-Symbolic-Regression (MOSR), a novel algorithm utilizing …

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Assessing One-Year Health Impacts From Wildfires In Rural Communities: Roles For Extension In Promoting Wildfire Preparedness And Recovery, Marc T. Braverman, Sandi Cleveland Phibbs, Emily Jane Davis, Amanda Rau, Elijah Penner May 2025

Assessing One-Year Health Impacts From Wildfires In Rural Communities: Roles For Extension In Promoting Wildfire Preparedness And Recovery, Marc T. Braverman, Sandi Cleveland Phibbs, Emily Jane Davis, Amanda Rau, Elijah Penner

Journal of Extension

Wildfires can produce health impacts that persist for years in affected communities. This article describes an Extension-led study of health impacts in rural Oregon communities one year after a destructive wildfire. Data collection included key informant interviews (n=36), an online survey (n=80), and three focus group interviews with survivors (n=23). Mental health, exposure to contaminants, physical stress, food insecurity, and other issues were frequently identified health concerns. Survivors’ difficulties in dealing with housing displacement significantly exacerbated health challenges. We describe potential roles for Extension in addressing wildfire risk and mitigating health impacts, including a description of the Oregon Fire Program.

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Reaching Tomorrow’S Extension Customer: A Food And Health Needs Assessment, Morgan Szczepaniak, Sarah L. Francis, Ruth Litchfield, Ulrike Genschel, Shannon Coleman, Anirudh Naig May 2025

Reaching Tomorrow’S Extension Customer: A Food And Health Needs Assessment, Morgan Szczepaniak, Sarah L. Francis, Ruth Litchfield, Ulrike Genschel, Shannon Coleman, Anirudh Naig

Journal of Extension

The food and health needs and preferences of Iowans (n=452) were examined. The leading food and health information sources were online platforms, social media, and print media. Program topics with high participation likelihood were cooking, food preservation, food safety, and gardening. Short, low-cost, online programs were preferred. Extension use was more likely among those who identified as persons of color, Hispanic/Latino, or were food insecure (p < 0.030). Those with less education and chronic disease were less likely to be interested in Extension programming (p < 0.040). These results provide valuable information regarding future directions for Extension programming.

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Considering The Need For Congruence In Closing The Gap, Target 10: Reducing High Rates Of Adult Aboriginal Incarceration, Jane Anderson, Narelle Carroll, Boobaditj (Also Known As Phillip Ugle) May 2025

Considering The Need For Congruence In Closing The Gap, Target 10: Reducing High Rates Of Adult Aboriginal Incarceration, Jane Anderson, Narelle Carroll, Boobaditj (Also Known As Phillip Ugle)

Journal of the Australian Indigenous HealthInfoNet

The federal and Western Australia (WA) state governments have made a national commitment to reducing high rates of Aboriginal adults held in incarceration, using, respectively, justice reinvestment and bureaucratic inclusion of Aboriginal representatives and organisations. This aspiration is also being pursued by an Aboriginal team who seek to establish a place-based Aboriginal justice support service in a WA regional town. The proposed service is underpinned by a combination of justice reinvestment and restorative justice principles and aims to use peer support workers who will effectively increase community agency in justice matters. This article examines congruence between federal, state and local …

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On The Interpretation And Analytics Of Cogito, Ergo Sum, Jacob H. Riggs May 2025

On The Interpretation And Analytics Of Cogito, Ergo Sum, Jacob H. Riggs

2025 Symposium

Descartes’ famous axiom, “cogito, ergo sum,” was supplied as a supposedly viable first principle of philosophy. According to Descartes, this foundation is so clear and distinct that through our knowledge of it we can deduce nearly any other information we seek to establish as true. Descartes himself contends that the deductions proceeding from this foundation rival those of mathematics and geometry in certainty. The research conducted here aimed at discerning the veracity of Descartes’ claim concerning the validity of the Cogito as a first principle. To determine the validity of Descartes’ principle, first the efficacy of his rationalist …

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The Confluence, Volume 4, Issue 1, Full Issue May 2025

The Confluence, Volume 4, Issue 1, Full Issue

The Confluence

No abstract provided.

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You Are Not The Hero: Women’S Role In “Rapunzel”, Amber L. Budd May 2025

You Are Not The Hero: Women’S Role In “Rapunzel”, Amber L. Budd

The Confluence

This paper uses the Feminist literary theory to examine the roles and presentation of characters in the fairy tale “Rapunzel” and how the women reinforce patriarchal ideals by conforming to either angelic or monstrous behaviors.

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Mary Easton Sibley’S Envisioned Societal Roles Through Education, Andrea Gentry May 2025

Mary Easton Sibley’S Envisioned Societal Roles Through Education, Andrea Gentry

The Confluence

Mary Easton Sibley, the founder of Lindenwood University, was an ambitious and strong-willed woman who promoted educational opportunities for women and minority groups. Biographers of Sibley tend to portray her promotion of education as an effort to empower (and equalize) women and minorities. However, while Mary promoted education for all, she did not promote the same education for everyone. Instead, she imagined education tailored to women, African Americans, Native Americans, and immigrants that would reflect what she considered the “proper” roles played by each in society. This research explores what social movements in the 19th century influenced Mary Sibley in …

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