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Paste Properties, Hardened Concrete Properties, And Mix Design Process For Magnesium Phosphate Cement, Rilye Dillard
Paste Properties, Hardened Concrete Properties, And Mix Design Process For Magnesium Phosphate Cement, Rilye Dillard
Graduate Theses and Dissertations
Magnesium phosphate cement (MPC) is a rapid-setting alternative cement typically used as a quick repair material. MPC has gained popularity in recent years due to its ability to reduce CO2 emissions, its strong chemical resistance, and potential use in large scale applications. There is currently limited research on the properties of MPC when varying the proportions of its ingredients. Several hardened concrete properties were analyzed on concrete mixtures made with MPC. A mix design process for MPC concrete is proposed based on testing of 300 MPC paste mixtures and 115 MPC concrete mixtures. A standardized mix design process is imperative …
An Investigation Into The Effect Of Performance Engineered Mixture (Pem) Design On The Workability And Strength Of Concrete Pavement Mixtures, Alexander Cook
An Investigation Into The Effect Of Performance Engineered Mixture (Pem) Design On The Workability And Strength Of Concrete Pavement Mixtures, Alexander Cook
Graduate Theses and Dissertations
The Arkansas Department of Transportation (ARDOT) currently requires a minimum cement content of 564 pounds of cement per cubic yard of concrete. This minimum cement requirement can be reduced through the utilization of optimized gradation of aggregates within concrete mixtures as well as the addition of supplementary cementitious materials (SCMs) such as fly ash. The study presented in this paper aims to demonstrate how the use of the Tarantula Curve can be used to design concrete mixtures with reduced cement contents while maintaining sufficient workability for concrete mixtures to be used for slipform paving. Fresh workability was measured using the …
Learning To Accelerate Globally Optimal Solutions: Applications In The Ac Optimal Power Flow Problem, Muhammet Fatih Cengil
Learning To Accelerate Globally Optimal Solutions: Applications In The Ac Optimal Power Flow Problem, Muhammet Fatih Cengil
Graduate Theses and Dissertations
The Alternating Current Optimal Power Flow (AC-OPF) problem is a fundamental optimization challenge critical to ensuring the economical and reliable operation of power grids. While fast heuristic methods provide upper-bound solutions, assessing their quality requires lower bounds obtained from relaxations of the AC-OPF problem. This dissertation focuses on finding globally optimal solutions to the AC-OPF problem by enhancing the effectiveness and efficiency of Quadratic Convex (QC) relaxations. Leveraging machine learning techniques, we aim to achieve tighter relaxations faster and improve computational performance, enabling practical scalability for real-time applications.
In Chapter 2, we propose a machine learning-based method to accelerate the …
An Analysis Of Policies, Practices, And Barriers To Create A Multi-Dimensional Approach To Renewable Energy Transition For Us Communities, Hanan Wehbi
Graduate Theses and Dissertations
The transition from fossil fuel-derived energy resources to clean, renewable, affordable, and reliable energy necessitates a comprehensive approach. This approach must incorporate an interdisciplinary contribution to ensure the sustainability, efficiency, and resilience of the energy system. In the United States, many communities and local governments are developing ambitious plans, regulations, and targets to support the renewable energy transition and enhance energy efficiency. This research builds on the principles of sustainable development planning and transition theory to develop a framework that assists communities in planning their renewable energy (RE) transition and integrate these plans in their long- and short-term development approaches. …
Advancing Molecular Tools For The Study Of Rubus Viruses, Andrea Sierra-Mejia
Advancing Molecular Tools For The Study Of Rubus Viruses, Andrea Sierra-Mejia
Graduate Theses and Dissertations
Since blackberry yellow vein disease (BYVD) was first described, the blackberry virome has expanded significantly. BYVD is a complex disease associated with over ten viruses, yet the role of each virus in its etiology remains understudied. Studying the effect of each virus in disease development requires the identification of single infections; however, this task has been difficult for BYVD, with all field collected material over the past two decades consistently found infected by multiple viruses. Given the diversity of viruses associated with the disease and their different modes of transmission, obtaining pure virus cultures necessitate transmission of individual viruses via …
Effects Of Fast And Slow-Wilting Soybean Genotypes On Plant-Herbivore Interactions, Jessica Ayala
Effects Of Fast And Slow-Wilting Soybean Genotypes On Plant-Herbivore Interactions, Jessica Ayala
Graduate Theses and Dissertations
Soybean [Glycine max (L.) Merr.] is one of the most important food crops in the world due to its multiple uses in agriculture sector. A major limiting factor in soybean production system is drought stress, causing up to 80% reduction in yield. Due to climate change and associated rise in ambient temperatures, water scarcity is a major concern in crop production, and consequently researchers are turning to soybean accessions that demonstrate better water use efficiency (WUE) traits. However, field grown soybean is also under severe pressure from insect herbivores, often accounting for a 30% reduction in yield. Among these, …
Comparison Of Statistical And Machine Learning Genomic Prediction Methods In Plant Breeding: Case Studies In Maize And Soybean, Igor Kuivjogi Fernandes
Comparison Of Statistical And Machine Learning Genomic Prediction Methods In Plant Breeding: Case Studies In Maize And Soybean, Igor Kuivjogi Fernandes
Graduate Theses and Dissertations
Plant breeding is essential to increase genetic gain and food production worldwide. This study was conducted to evaluate new ways to use machine learning (ML) to tackle plant breeding challenges, where two ideas were tested — the first chapter focuses on how to combine genetic and environmental data using ML to improve the prediction of maize grain yield in multi-environment trials, while the second chapter centers on how to couple feature selection of molecular markers with ML to enhance prediction of yield in soybean, and, in both cases, ML approaches were compared to well-established statistical methods greatly adopted by the …
Establishing A Robust Decision Framework To Support Transportation Planning Decisions And Accommodate Connected And Autonomous Transportation Alternatives, Bobby Cottam
Graduate Theses and Dissertations
Transportation planning involves complex decisions to provide high-quality transportation systems involving multiple stakeholders with numerous competing interests, on top of that they are trying to improve the quality and reliability of those systems on shrinking budgets. This decision is further complicated by the advent of new transportation methods e.g., ride-hailing and the promise of connected and autonomous vehicles (CAVs). While the actual short-term impact of these technologies is uncertain, they will most certainly have a significant impact within the 20-year planning horizon that transportation planners typically consider. These technologies are also blurring the lines between traditionally separate modes of transportation; …
First Latter-Day Saint Women Baptized In Europe And Oceania: Ann Cottam Dawson (1785-1849) And Terii (Ca. 1800-Ca. 1860), Robyn Shahan Spears
First Latter-Day Saint Women Baptized In Europe And Oceania: Ann Cottam Dawson (1785-1849) And Terii (Ca. 1800-Ca. 1860), Robyn Shahan Spears
Graduate Theses and Dissertations
This dissertation is a study in the backgrounds, Latter-day Saint conversions, and ministries of two early nineteenth-century women: Ann Cottam Dawson in Lancashire, England and a woman known simply as Terii on the island of Tubuai in the Austral Islands (now French Polynesia). Because these two women did not leave behind diaries, this study relies upon evidence such as missionary diaries, newspapers, church records, vital records, genealogical records, sermons, and even a mutiny narrative. The discussion is organized in three parts: Dawson’s biography, Terii’s biography, and a comparison of the two. Both women fed and housed the missionaries, performed women’s …
Towards Robust And Fair Vision Learning In Open-World Environments, Thanh-Dat Truong
Towards Robust And Fair Vision Learning In Open-World Environments, Thanh-Dat Truong
Graduate Theses and Dissertations
The rapid increase of large-scale data and high-performance computational hardware has promoted the development of data-driven machine vision approaches. Advanced deep learning approaches have achieved remarkable performance in various vision problems and are closing the capability gap between artificial intelligence (AI) and humans. However, towards the ultimate goal of AI, which replicates human ability in visual perception tasks, the machine vision learning methods still need to address several ill-posed challenges. First, while the current vision learning methods often rely on large-scale annotated data, the data annotation process is a costly and time-consuming process. Second, the unfaired predictions produced by vision …
Neural Network Architecture Search Enabled Wide-Deep Learning (Nas-Wd) Integrated Hyperspectral Imaging Understanding For Woody Breast In Poultry Processing, Chaitanya Kumar Reddy Pallerla
Neural Network Architecture Search Enabled Wide-Deep Learning (Nas-Wd) Integrated Hyperspectral Imaging Understanding For Woody Breast In Poultry Processing, Chaitanya Kumar Reddy Pallerla
Graduate Theses and Dissertations
The development and implementation of a Wide & Deep (WD) learning model tailored for classification and regression tasks utilizing spectral data provides a robust solution to evaluate woody breast (WB) conditions in poultry fillets. This process begins with thorough data preprocessing, which includes loading spectral and classification datasets, imputing missing values with medians, and splitting the data into training and testing sets to ensure rigorous model evaluation. The WD model architecture integrates wide linear models and deep neural networks to harness the strengths of both approaches. The wide component excels at memorizing sparse feature interactions, while the deep component captures …
The Role Of Dynastic Marriage In The Reigns Of Mary I And Elizabeth I Of England, Regan Vann
The Role Of Dynastic Marriage In The Reigns Of Mary I And Elizabeth I Of England, Regan Vann
Graduate Theses and Dissertations
My project will cover the role gender and dynastic marriage played in the reigns of Mary I of England Elizabeth I of England, and the differences they caused in their reigns compared to a reign of a male monarch. The historical question I am exploring is how Mary and Elizabeth’s gender impacted their reign by means of dynastic marriage. Marriage was important for the English royals as the prospect of marrying foreign royal created opportunities for alliances with other realms. Royal marriages were often arranged by the monarch, usually a king, for his children, especially his female children. Mary and …
Blend Matters: Interactions Of Rice Cultivars On Milling, Physico-Chemical & End Use Traits, Bindu Regonda
Blend Matters: Interactions Of Rice Cultivars On Milling, Physico-Chemical & End Use Traits, Bindu Regonda
Graduate Theses and Dissertations
Rice blending or mixing of different rice cultivars, a common practice in the industry, significantly impacts processing efficiency and end-product quality, yet its effects on end products remain understudied. This research investigated the implications of blending contemporary Arkansas rice cultivars through two comprehensive studies focusing on milling yields and physicochemical properties, instantization, and parboiling processes. Five long-grain cultivars, including hybrids (RT 7521 FP, RT 7321 FP, XP 753) and purelines (Ozark, CLL 16), were blended in various combinations and different drying.
The first study revealed that blending significantly affected milling yields and physicochemical attributes. Pre-drying blending yielded better results compared …
Emotional Intelligence And Self-Direction Orientation: An Examination Of Non-Academic Factors In Post-Pandemic Community College Students In Kansas And Missouri, Ashley Rader
Graduate Theses and Dissertations
Post-pandemic learners face academic and non-academic challenges due the educational disruption caused by the COVID-19 virus. ACT college admissions test scores dropped to a 30-year low in 2023, falling the most significantly and rapidly during and after the pandemic (ACT, 2023) and recovery from these childhood and adolescent learning deficits has not been seen to date (Betthäuser et al., 2023). Research on non-academic factors, not as widely studied as academic factors, is crucial to understand where these learners’ deficits further lie. Two of those factors – emotional intelligence and self-direction orientation – were the key concepts of interest in this …
Interaction-Sensitive Tree-Based Statistical Models, Xiaotong Sun
Interaction-Sensitive Tree-Based Statistical Models, Xiaotong Sun
Graduate Theses and Dissertations
This dissertation introduces a tree-based framework to improve the interpretability and modeling of interaction effects among variables, essential in fields like biostatistics, healthcare, science and engineering. Traditional regression methods often fail to clearly capture complex interactions, while tree-based approaches, despite their interpretability, face performance limitations and overfitting concerns. Our proposed interaction-sensitive tree-based method, designed for seamless integration, combines various statistical techniques tailored to different data types, leveraging ensemble learning methods to enhance accuracy and mitigate overfitting. We present methods for regression, survival analysis, and classification, validated with case studies and benchmarked against traditional models using metrics like BIC and R-squared. …
The Impact Of Wild Pigs (Sus Scrofa) On Avian Occupancy And Vegetation Structure, Kenneth Wilson
The Impact Of Wild Pigs (Sus Scrofa) On Avian Occupancy And Vegetation Structure, Kenneth Wilson
Graduate Theses and Dissertations
Invasive species, particularly wild pigs (Sus scrofa), pose a significant threat to native ecosystems through both direct and indirect impacts. Wild pigs are large-bodied omnivorous species that can consume a wide variety of plants and animals and are known for destructive foraging behaviors, which likely threatens avian communities through habitat alteration and can impact the long term structure of ecosystems where they are present.
In chapter 1, we used a combination of avian point count surveys, vegetation assessments, and camera trap surveillance to quantify how the occupancy of breeding birds in bottomland hardwood forests changed in relation to …
Utilization Of Prosur Phr As A Novel Phosphate Alternative In Tumble, Inject, And Tumble Injection Marinated Chicken Breast, Sarah E. Johnson
Utilization Of Prosur Phr As A Novel Phosphate Alternative In Tumble, Inject, And Tumble Injection Marinated Chicken Breast, Sarah E. Johnson
Graduate Theses and Dissertations
Poultry is the most widely consumed meat protein worldwide for its health consideration, affordability, and versatility. Historically, the poultry industry has utilized numerous methods to improve meat quality most significantly, marination. Marination is practice commonly used in the industry by imparting various chemical functional ingredients that are known to enhance sensory characteristics such as tenderness, juiciness, and flavor. Various marination methods used in the industry including tumble, injection, and soaking. Ingredients, such as sodium chloride and phosphates are commonly used in the marination process. In recent years the industry has witnessed a shift in consumer preferences to “clean-label”. This trend …
Wind Tunnel Investigation Of The Along-Wind Dispersion In Finite-Duration Neutrally Buoyant Gas Releases, Daniel Williams
Wind Tunnel Investigation Of The Along-Wind Dispersion In Finite-Duration Neutrally Buoyant Gas Releases, Daniel Williams
Graduate Theses and Dissertations
This thesis investigates the along-wind dispersion of hazardous gas releases within a turbulent boundary layer using controlled experiments in an ultra-low-speed wind tunnel, recognizing the limitations of numerical modeling and field tests. This study utilizes a neutrally buoyant gas mixture and dual Flame Ionization Detectors (FIDs) to capture representative, repeatable data on gas cloud behavior over finite durations. Ensemble averaging of 65 trials across varying release durations and downwind distances provided detailed insights into gas dispersion and the distinct time phases within finite-duration releases. Analysis revealed that along-wind dispersion coefficients depend on turbulence and vertical wind shear, with normalized coefficients …
Lilac Divinity: The Socio-Religious Transformation Of The Capetian Monarchy, Michael Earth Anderson
Lilac Divinity: The Socio-Religious Transformation Of The Capetian Monarchy, Michael Earth Anderson
Graduate Theses and Dissertations
This study considers an alternative explanation for the ascendancy of the Capetian monarchy during the High Middle Ages. Through a broad consideration of notable kings across a large time period, I argue that the kings of France knowingly participated in a process of spiritual and cultural embellishment that traditional, comparative models have failed to properly assess. The paper begins with a short introduction and is followed by a consideration of how the Middle Ages have been framed historiographically. The next section offers a historiographical overview of feudalism to contextualize persistent issues in the field. The remaining sections consist largely of …
A Native American Free Press: The Opportunities And Threats To Press Freedom In Indian Country, Bryan Pollard
A Native American Free Press: The Opportunities And Threats To Press Freedom In Indian Country, Bryan Pollard
Graduate Theses and Dissertations
Tribal media – media outlets often operated by a tribe for a Native audience – are an indispensable public service to their communities. They are relied upon for news and information about current events and governmental actions, and often reinforce cultural and community values. These outlets are often financially subsidized by the tribal government if the operation is too small or geographically remote to generate the revenue necessary for financial independence. Herein lies a central dilemma: Can tribal media, under the influence of tribal governments, serve as an independent voice free of political interference and capable of fair and truthful …
Towards Comprehensive And Interpretable Video Understanding, Khoa Vo
Towards Comprehensive And Interpretable Video Understanding, Khoa Vo
Graduate Theses and Dissertations
Video understanding is a critical domain in computer vision, focusing on analysis of sequential visual data to extract meaningful spatiotemporal information for tasks such as action recognition, video captioning, video retrieval, and temporal action localization, etc. Despite significant advancements with spatio-temporal convolutional neural networks and attention-based video models, current methods face limitations, including inadequate representation of main actors, lack of fine-grained modeling of relevant objects, and limited interpretability.
This thesis addresses these challenges by proposing novel approaches that enhance video understanding through modeling interactions among entities (actors and objects) and between entities and the environment, while improving interpretability in the …
Multimodal Spectroscopy To Study Tumor Microenvironmental Changes In Vivo, April Mordi
Multimodal Spectroscopy To Study Tumor Microenvironmental Changes In Vivo, April Mordi
Graduate Theses and Dissertations
Every year there are millions of new cancer diagnoses and deaths worldwide. While great strides have been made in technologies and drugs for cancer treatment, there is still a need to understand tumor response to therapy as many patients still endure treatment failure after completing their treatment regimen. Current clinical imaging techniques for detecting response to therapy are utilized weeks to months after the course of treatment, and present limitations to measuring response during treatment. Optical spectroscopy techniques can help meet this need to determine the response of tumors to treatment as it allows for near real-time in vivo characterization …
Deep Learning Framework For Inverse Problems In Computational Imaging: A Lensless Imaging And Super-Resolution Magnetic Resonance Imaging Case, Arpan Poudel
Graduate Theses and Dissertations
Inverse problems in computer vision involve reconstructing an original scene or image from incomplete, noisy, or indirect measurements. These problems are critical in tasks such as image denoising, deblurring, super-resolution, and lensless imaging, where the goal is to recover high-quality images from degraded or partial measurements. This thesis introduces novel approaches to address two specific real-world inverse problems: (1) image super-resolution in medical imaging and (2) lensless image reconstruction . In the first part of this work, we tackle the problem of image super-resolution in Magnetic Resonance Imaging (MRI). High-resolution MRI scans are often limited by hardware constraints, patient movement, …
Addressing Cybersecurity Data & Workforce Scarcity With Troy: Testbed For Resilient Operational Systems, Henry Oliver Schmidt
Addressing Cybersecurity Data & Workforce Scarcity With Troy: Testbed For Resilient Operational Systems, Henry Oliver Schmidt
Graduate Theses and Dissertations
Machine learning has seen an explosive rise in the past decade. Companies, organizations, and governments are racing to pursue the advancements and insight provided by machine learning powered tools. However, to get effective and meaningful insights from machine learning models a significant amount of detailed data is required to train them. This poses a problem in fields where data is not openly available, such as cybersecurity. Entities are often unwilling to give out network or system data to the public for machine learning and cybersecurity research since that data can contain sensitive or proprietary information. The risk simply outweighs the …
Design And Fabrication Of Graphene Solar Cells For Low-Power Energy Harvesting Systems, Tamzeed Bani Amin
Design And Fabrication Of Graphene Solar Cells For Low-Power Energy Harvesting Systems, Tamzeed Bani Amin
Graduate Theses and Dissertations
This study presents the design and fabrication of graphene-based Schottky junction solar cells integrated into a 3-volt power system for low-power applications. Utilizing standard semiconductor processing methods, including selective oxide removal, metal contact deposition, and large-area graphene transfer, we fabricated solar cells from a silicon wafer coated with a thermal oxide layer. Each individual solar cell generated up to 270 µA of short-circuit current and an open-circuit voltage of 420 mV under illumination. We connected multiple solar cells in series to produce a total output of 3.3 volts, which is sufficient to recharge a 3-volt battery. The system, comprising these …
Exploring The Interplay Between Testosterone Levels And Gender Role Attitudes, Arial Bloshinsky
Exploring The Interplay Between Testosterone Levels And Gender Role Attitudes, Arial Bloshinsky
Graduate Theses and Dissertations
Traditional gender role attitudes align men with resource management and women with nurturing. The Challenge Hypothesis proposes that resource management is associated with higher testosterone levels, whereas nurturing is associated with lower testosterone levels. Therefore, traditional gender role attitudes may be associated with people’s testosterone levels. Furthermore, during the transition to parenthood, traditional gender role attitudes may become particularly salient, as shifting biological, social, and cultural roles during this transition make these attitudes an integral part of daily life. In this longitudinal study of expectant couples, participants completed a baseline survey and baseline session, during which they completed measures and …
Synthesis And Process Optimization Of Cellulose Nanocrystals From Miscanthus X. Giganteus For Commercial Viability, Jaspreet Kaur
Synthesis And Process Optimization Of Cellulose Nanocrystals From Miscanthus X. Giganteus For Commercial Viability, Jaspreet Kaur
Graduate Theses and Dissertations
Cellulose nanocrystals (CNCs), derivatives of an abundant biopolymer, i.e., cellulose, are emerging as promising alternatives to petrochemical-based products due to their unique properties, including biodegradability, low toxicity, high strength, low density, large surface area and low coefficient of expansion. CNCs have diverse applications ranging from food packaging and textiles to drug delivery and medical implants, etc. Despite their potential, the widespread commercialization of CNCs faces significant hurdles owing to the high environmental burden and production costs. They are mainly driven by the commonly used source utilized for CNC synthesis i.e., wood and the intensive synthesis process i.e., requirement of …
Intersectionality And Career Persistence Of African American Women In Cybersecurity Careers: A Narrative Inquiry, Monica Marquita Jones Prewitt
Intersectionality And Career Persistence Of African American Women In Cybersecurity Careers: A Narrative Inquiry, Monica Marquita Jones Prewitt
Graduate Theses and Dissertations
The purpose of this narrative inquiry is to examine the experiences of African American women working in cybersecurity, a male-dominated field. An intersectional lens will be used in the study to provide insight into their positionality as women of color in a male-dominated career field. The study will examine the stories of the women who persisted in the field and the existing influences or interventions that supported their retention. This pre-registered study will provide the framework for this study to be completed at the University of Arkansas. The researcher will use a descriptive phenomenological approach and semi-structured interviews to understand …
Online Self-Directed Learning About Covid By Custodial Fathers In The U.S., Susan Bradley
Online Self-Directed Learning About Covid By Custodial Fathers In The U.S., Susan Bradley
Graduate Theses and Dissertations
The COVID pandemic was a time of unprecedented need for self-directed learning due to a conflagration of factors. These included the rapid global spread of the virus, leading to over 1.8 million deaths worldwide in 2020 alone according to the World Health Organization. In addition, traditional authorities such as the World Health Organization and U.S. Centers for Disease Control, along with individual health practitioners and institutions, failed to calm the panic due to a lack of agreement about recommended protections and treatments.
Simultaneously, due to COVID’s strain on the healthcare system, people were urged to refrain from visiting their doctors …
Cognitive Bias, Memory, And Fearfulness Of Red Jungle Fowl And Athens Canadian Random Bred Chickens, Victor Juwon Oyeniran
Cognitive Bias, Memory, And Fearfulness Of Red Jungle Fowl And Athens Canadian Random Bred Chickens, Victor Juwon Oyeniran
Graduate Theses and Dissertations
Our understanding of how poultry perceive and interpret their environment is essential to enhancing their welfare; over the years, animal welfare science has relied on measures of the behavioral and physiological components of affective states (positive and negative) as welfare indicators. There is an increasing interest in the study of chicken’s affective states using the Judgment bias test (JBT) as a tool for assessing welfare through their responses to ambiguous cues. This study investigates the cognitive performance of two chicken breeds with different evolutionary histories: Red Junglefowl (RJF), the primary ancestor of modern chickens, and Athens Canadian Random Bred (ACRB), …