Digital Commons Network^™

Optimizing Laying Hen Behavior, Bone Health, And Welfare Through Environmental And Nutritional Enrichments, Mallory Anderson

All Dissertations

The objective of this dissertation was to evaluate the impact of environmental and nutritional enrichments on the behavior, bone health, and welfare of Hy-line brown and Hy-line W-36 laying hens. Laying hens are prone to experiencing a progressive increase in bone fragility due to the ongoing mobilization of calcium from the bones for eggshell formation. Over time, this increases their susceptibility for bone fracture, which is a welfare concern. Prior research suggests that exercise, especially during the developmental stage, can aid in minimizing bone fractures by strengthening muscles and increasing bone mass. Furthermore, nutrition plays an integral role in laying …

Development And Application Of Discrete Element Models For Granular Materials - From Rigid Spheres To Complex-Shaped Flexible Particles With Breakage, Zakia Tasnim

All Dissertations

Granular materials, which can range from nanometers to centimeters, are widely encountered as particles or powders in nature and in engineered systems. Some examples of granular materials include sands, gravels, biomass feedstocks, rice grains, pharmaceutical pills, glass beads, and lunar or martian regolith simulants. The attributes of and the interactions between constituent particles dictate the bulk mechanical properties and behavior of granular materials. The discrete element method (DEM), a particle-based modeling technique, has become a useful numerical tool for modeling the bulk behavior (such as mechanical, flow, and breakage behavior) of granular materials, where interactions between the granular materials' individual …

Process-Structure-Property-Performance Modeling For Semicrystalline Thermoplastics And Composites, Tatiana Stepanova

All Dissertations

With a growing focus on reducing the adverse effects of transportation on the environment, industries are seeking fuel-efficient and sustainable solutions. Fuel efficiency can be improved in several ways, but structural lightweighting has demonstrated overall effectiveness. In this regard, thermoplastic composites and additive manufacturing (AM) thermoplastics have become viable candidates for use in the automotive industry, given the need for weight reduction and efficiency improvement.

The advantages of AM include simplifying supply chains, simplifying part geometry, and enabling mass customization. In order to design high-performance AM structures, extensive modeling and simulation are required. AM thermoplastics are similar to conventional manufacturing …

Engineering Multifunctional Silicon Nanostructures From Biorenewable Cellulose Nanocrystals, Nancy Chen

All Dissertations

The imperative search for alternative materials to address the pressing demand for advance energy storage is underscored by the escalating environmental predicaments. Lithium-ion batteries (LIBs) with graphite anodes have become the benchmark in energy storage; however, they are approaching a saturation point in terms of energy density. Silicon emerges as a promising contender to supplant graphite, owing to its profuse availability, cost-effectiveness, and impressive specific capacity of 4200 mAh g^-1. By integrating silicon anodes, LIBs stand to undergo a radical transformation, markedly diminishing in weight and size, thus heralding a novel wave of compact, lightweight energy storage systems. …

The Impact Of Mixed-Reality Simulation On The Knowledge And Practice Of Collaboration Skills Of Preservice Special Education Teachers, Samantha Scott

All Dissertations

Collaboration is an essential skill for a special education teacher's (SETs) success in developing individualized education programs (IEPs) to ensure that students with disabilities have access to equal educational opportunities. Collaboration occurs when members of an inclusive learning community work together as equals to meet a student’s individual needs. Unfortunately, preservice SETs are often provided with little instruction during their coursework and are not given the opportunity to attend IEP meetings in field placements. Many teacher education programs provide only a select number of opportunities for preservice SETs to practice and apply collaboration skills, leaving teacher candidates feeling underprepared to …

The Influence Of Feed Additives On Laying Hen Health, Welfare, And Egg Quality, Alexa Johnson

All Dissertations

Natural feed additives like oregano essential oil and synbiotic (prebiotic and probiotic) are options with great potential for increasing the health and welfare of laying hens. The first two studies explored the effects of dietary oregano essential oil (EOO) on performance, gastrointestinal traits (GIT), blood lipids, antioxidant capacity, and egg quality in laying hens from 0 to 40 weeks of age. The third study was conducted to examine dietary EOO on layers on the shelf life and fatty acid profile of eggs. The final study aimed to examine the effects of a dietary synbiotic on agonistic behavior, plasma and brain …

A Manufacturing-To-Response Pathway For Manufacturing Optimization Of Carbon Fiber Reinforced Polymer Composite Structures, Madhura Limaye

All Dissertations

Over the past decade, there has been an increased adoption of thermoplastic and thermoset based continuous carbon fiber reinforced polymer (CFRP) composites for structural applications in several industries. Among the different manufacturing methods, thermoforming process for thermoplastic based continuous CFRP’s offer a major advantage in reducing cycle times for large scale productions. Similarly, out-of-autoclave curing process for thermoset based continuous CFRP’s using heated tooling enables production of large composite structures. However, these manufacturing processes can have a significant impact on the structural performance of parts by inducing undesirable effects. These effects include inhomogeneous fiber orientations, thickness variations, and residual stresses …

Selected Topics On Sequential Designs For Decision Making, Caroline Kerfonta

All Dissertations

This dissertation is comprised of three parts. The first proposes a sequential approach to determine the experimental setting with the minimum variance (Kerfonta et al., 2024). Two acquisition functions are developed to assist developing the approach. Theoretical results along with a case study using data from crystallization experiments is conducted to show the ability of the proposed method to correctly select the experiment with the minimum variance. The second and third parts propose adaptations to the Bayesian optimization algorithm using transformed additive Gaussian processes (TAG) as the surrogate model. The goal of using the TAG framework is to decompose the …

Leaders In Science Education Communities, Jennifer Bateman

All Dissertations

This three paper dissertation investigates the role of the District Science Coordinator (DSC). Due to the lack of research, District Science Coordinators (DSCs) are frequently misidentified as Science Teacher Leaders (STLs). It is important to establish a clear distinction between the roles. This first paper explores the salient similarities and differences between STLs and DSCs, while also attending to their individual roles, responsibilities, and professional support.

This second paper examines how a synchronous, online professional learning (PL) experience resulted in the creation of a community of practice (CoP) among two different groups of participating district science coordinators (DSCs) and how …

Efficient Fully Bayesian Approaches To Brain Activity Mapping With Complex-Valued Fmri Data: Analysis Of Real And Imaginary Components In A Cartesian Model And Extension To Magnitude And Phase In A Polar Model, Zhengxin Wang

All Dissertations

Functional magnetic resonance imaging (fMRI) plays a crucial role in neuroimaging, enabling the exploration of brain activity through complex-valued signals. Traditional fMRI analyses have largely focused on magnitude information, often overlooking the potential insights offered by phase data, and therefore, lead to underutilization of available data and flawed statistical assumptions. This dissertation proposes two efficient, fully Bayesian approaches for the analysis of complex-valued functional magnetic resonance imaging (cv-fMRI) time series.

Chapter 2 introduces the model, referred to as CV-sSGLMM, using the real and imaginary components of cv-fMRI data and sparse spatial generalized linear mixed model prior. This model extends the …

Oscillations Of Capillary Surfaces With Volume And Edge Effects, Dingqian Ding

All Dissertations

Capillary surfaces are defined by an interface endowed with surface tension that is partially supported by a solid substrate and are susceptible to oscillations reflecting a balance between fluid inertia and the restorative force of surface tension. The wave dynamics strongly depend upon volume change within the domain and edge effects through the boundary conditions applied at the contact-line formed at the liquid-gas-solid interface, while the spatial wave structure conforms to the geometry of the capillary surface. This dissertation develops mathematical models to address these effects for several canonical capillary surfaces, which are organized into two parts that are focused …

Understanding The Experiences Of Para-Collegiate Student- Athletes: A Mixed Methods Study, Derek Whaley

All Dissertations

Experiences are the impressions developed through gaining, using, fostering, and sometimes disposing of a service or product. Recent years have shown an ongoing emphasis placed on experiences and their impacts; one of particular interest for this study are the experiences of para-collegiate student-athletes. Using the Experience Type Framework (ETF) and the Extraordinary Impact Scale (EIS), the purpose of this study was to understand the experience of involvement in intercollegiate sports among adaptive student-athletes. This study employed an explanatory sequential mixed methods design, using quantitative and qualitative data to understand the adaptive student-athlete experience. Phase I (n = 30) used the …

Restoring Student Behavior: A Culturally Responsive Evaluation Of Restorative Practices On Disproportionate Referral Data, Meredith Strmac

All Dissertations

Male students of color often receive harsher disciplinary consequences than their same age White peers. Disproportionate discipline practices have existed within the education system for years, primarily due to a historical systemic issue of implicit bias due to race. One intervention used to quell some of these disparities is Restorative Practices. This program evaluation study used Restorative Practices as an intervention to determine the extent that it could close the discipline gap in one South Carolina high school. Using a concurrent nested mixed method design, I analyzed and synthesized historical agency data to answer the first research question regarding the …

Structure-Property Relationship Studies Of Electrically Conductive Metal-Organic Framework Materials, Shiyu Zhang

All Dissertations

Electrically conductive metal-organic frameworks (EC-MOFs) are among the most promising materials due to their tunable structures, properties, and diverse functions. However, the lack of comprehensive understanding of their structure-property relationship hinders the development of EC-MOFs. My dissertation focuses on the design, construction, and structure-property relationship studies of EC-MOFs.

Chapter 1 describes how MOFs' structural features and compositions affect the electronic properties and demonstrates conductive mechanisms and the corresponding design strategies to develop EC-MOFs.

Chapter 2 describes the synthesis, characterization, electronic and optical properties of four novel alkali-metal-based (Na, K, Rb, and Cs) 3D-MOFs with continuous tetrathiafulvalene tetracarboxylate (TTFTC) π-stacks, systematicly …

Robust And Trustworthy Deep Learning: Attacks, Defenses And Designs, Bingyin Zhao

All Dissertations

Deep neural networks (DNNs) have achieved unprecedented success in many fields. However, robustness and trustworthiness have become emerging concerns since DNNs are vulnerable to various attacks and susceptible to data distributional shifts. Attacks such as data poisoning and out-of-distribution scenarios such as natural corruption significantly undermine the performance and robustness of DNNs in model training and inference and impose uncertainty and insecurity on the deployment in real-world applications. Thus, it is crucial to investigate threats and challenges against deep neural networks, develop corresponding countermeasures, and dig into design tactics to secure their safety and reliability. The works investigated in this …

Structure And Dynamics Of Complex Fluids Formed By Ionomers: Experimental-Computational Insight, Chathurika Kosgallana

All Dissertations

The current study focuses on understanding the effect of clustering on the structure, dynamics, and response of ionomers in melts and solutions using neutron scattering methods combined with atomistic large-scale molecular dynamics (MD) simulations.

Ionizable polymers are used in a wide range of applications, such as in clean energy and biotechnology, where ion transport is integral to the application. Ionizable groups drive cluster formation and often become the dominating force in determining the structure and dynamics of these polymers.

The work consists of five studies. The first study probes the structure of sulfonated polystyrene in toluene solutions tweaked by the …

Experimental Analyses Of Emission Lines In The Uv/Vis/Nir Range For Astrophysically-Important Elements: From The Iron Group To R-Process Elements, Brynna Neff

All Dissertations

Analysis of astrophysical phenomena requires an understanding of the electronic

structure and transition probabilities of the elements present in that environment,

yet there are still many charge states of heavy elements whose electronic

structures and spectroscopic properties are not yet well understood. To address this,

we investigated the spectroscopic properties of three different elements through an

analysis of spectra collected from three different experimental apparatuses.

In order to better understand the spectroscopic properties of Ni I and II, we

analyzed spectra collected from the Compact Toroidal Hybrid (CTH) apparatus at

Auburn University. In this experiment, a nickel sample was inserted …

Connecting Genotype And Phenotype: Investigating The Functional Morphology And Molecular Architecture That Influences Craniofacial Divergence Using Lake Malawi Cichlid Fishes, Leah Delorenzo

All Dissertations

Connecting genotype and phenotype to better understand how species evolve has been a goal of evolutionary developmental biologists over the last 50 years. This dissertation aims to connect genotype and phenotype of the craniofacial skeleton within the adaptive radiation of Lake Malawi cichlids to fortify our understanding of the functional, genetic, and epigenetic factors that contribute to craniofacial divergence. I start with a functional approach using 2D geometric morphometrics to assess craniofacial shape across the Lake Malawi cichlid radiation to bolster our knowledge of the bone phenotypes that are important to niche specialization and are functionally relevant. Next, I use …

Domain Decomposition Methods For Fluid-Structure Interaction Problems Involving Elastic, Porous, Or Poroelastic Structures, Hemanta Kunwar

All Dissertations

We introduce two global-in-time domain decomposition methods, namely the Steklov-Poincare method and Schwarz waveform relaxation (SWR) method using Robin transmission conditions (or the Robin method), for solving fluid-structure interaction systems involving elastic, porous, or poroelastic structure. These methods allow us to formulate the coupled system as a space-time interface problem and apply iterative algorithms directly to the evolutionary problem. Each time-dependent fluid and the structure subdomain problem is solved independently, which enables the use of different time discretization schemes and time step sizes in the subsystems. This leads to an efficient way of simulating time-dependent multiphysics phenomena. For the fluid-porous …

Using Improvement Science And A Co-Teaching Model To Increase The Effects Of Evidence-Based Reading Intervention For High School Students Reading Below Grade Level Proficiency, Ashley Vaughn

All Dissertations

I conducted a single instrumental case study to address the problem of practice in which approximately one-third of students entering the ninth grade for the 2019-2020 school year in the study school district were reading below grade level proficiency. I chose an instrumental case study method because it allows for an in-depth examination of a situation within its real-life context. I opted for this approach because I sought to understand the problem of practice deeply and generate recommendations for practical application. By focusing on a single case, I could thoroughly explore the intricacies of the subject matter, providing valuable insights …

Electrode Engineering For Enhanced Performance And Low-Cost Redox Flow Batteries, Abena Williams

All Dissertations

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Carbon "Quantum" Dots: Structures, Properties, And Issues, Weixiong Liang

All Dissertations

Carbon dots (CDots) are small carbon nanoparticles (CNPs) with effective surface passivation. The effective passivation has been achieved by the surface functionalization of pre-existing CNPs with organic molecules, mostly molecules containing primary or secondary amine moieties. In the studies highlighted in this dissertation, CNPs were functionalized by selected organic molecules, including especially the use of radical addition reactions, to generate CDots with strong absorption and bright fluorescence emissions. A good demonstration of the approach was the N-ethylcarbazole (NEC) radical addition to CNPs under microwave irradiation. Spectroscopy and microscopy methods were employed to characterize the resulting NEC-CDots, and the results …

Selenate-Mediated Impacts On Mercury Methylation By Pseudodesulfovibrio Mercurii With Dissolved And Nanoparticulate Mercuric Nitrate, Md Sayeduzzaman Sarker

Theses

Inorganic mercury (Hg) is converted to potential neurotoxic methylmercury (MeHg) by a natural process called Hg methylation. MeHg can be biomagnified in the food chain, thus the consumption of Hg-contaminated fish contributes to harmful human health issues. Selenium (Se) inhibits the Hg bioavailability to the methylating bacteria by forming mercuric selenide (HgSe). Pseudodesulfovibrio mercurii, a type of sulfate-reducing bacteria (SRB) cultures were grown in anaerobic environments using an estuarine sulfate lactate growth medium to evaluate the effects of Hg concentrations, bacterial growth phase, and sodium selenate in the Hg methylation process. Bacterial cultures contained two types of mercuric (II) nitrate, …

Use Of Modelling Tools To Assess Climate Change Impacts On Smallholder Oil Seed Yields In South Africa, Priscilla Ntuchu Kephe, Siyabusa Mkuhlani, Farirai Rusere, Abel Chemura

All Peer-Reviewed Publications

Oil seed crops are the second most important field crops after cereals in the agricultural economy globally. The use and demand for oilseed crops such as groundnut, soybean and sunflower have grown significantly, but climate change is expected to alter the agroecological conditions required for oilseed crop production. This study aims to present an approach that utilizes decision-making tools to assess the potential climate change impacts on groundnut, soybean and sunflower yields and the greenhouse gas emissions from the management of the crops. The Decision Support Tool for Agrotechnology Transfer (DSSAT v4.7), a dynamic crop model and the Cool Farm …

Combining Temperature-Dependent Life Table Data Into Insect Life Cycle Model To Forecast Fall Armyworm Spodoptera Frugiperda (Je Smith) Distribution In Maize Agro-Ecological Zones In Africa, Marian Adan, Henri E.Z. Tonnang, Cojdo E.F. Kassa, Klaus Greve, Christian Borgemeister, Georg Goergen

All Peer-Reviewed Publications

The fall armyworm (FAW), Spodoptera frugiperda (JE Smith) (Lepidoptera: Noctuidae), an invasive agricultural pest, has significantly impacted crop yields across Africa. This study investigated the relationship between temperature and FAW life history traits, employing life cycle modeling at temperatures of 20, 25, 28, 30, and 32̊C. The development time for eggs, larvae, and pupae varied from 0–3 days, 10–18 days, and 7–16 days, respectively. The optimal temperature range for immature stage survival and female fecundity was identified as 21–25̊C, with the intrinsic rate of increase (rm) and gross reproductive rate (GRR) peaking at 25–28̊C. Model validation confirmed the accuracy of …

Silver Nanoparticle Biosynthesis Utilizing Ocimum Kilimandscharicum Leaf Extract And Assessment Of Its Antibacterial Activity Against Certain Chosen Bacteria, Horyomba Siaka Ouandaogo, Souleymane Diallo, Eddy Odari, Johnson Kinyu

All Peer-Reviewed Publications

The use of plants in the biological production of silver nanoparticles for antibacterial applications is a growing field of research. In the current work, we formulated Ocimum kilimandscharicum extracts using silver nanoparticles, and evaluated its potential antibacterial activity. Aqueous and methanol plant extracts were used to reduce silver nitrate at different time intervals (30 to 150 minutes) and pH (2 to 11). The UV-visible absorption spectrum recorded for methanol and aqueous extracts revealed a successful synthesis of AgNPs for methanol and aqueous extracts. The antimicrobial activity of the AgNPs was evaluated against Escherichia coli ATCC 25922, Salmonella choleraesuius ATCC 10708, …

Equipping For Impact : Assessing Onboarding Strategies For Church Planting Success, Andrew Brown

ATS Dissertations

No abstract provided.

Integrating Artificial Intelligence (Ai) Into Adult Education: Opportunities, Challenges, And Future Directions, Valerie A. Storey, Amiee Wagner

All Faculty and Staff Scholarship

This conceptual article provides a comprehensive overview of the current status of Artificial Intelligence (AI) integration and its influence on adult education. It discusses generative AI technologies and their potential applications in adult education settings, examines the opportunities and ethical challenges associated with integrating AI, and provides insights into emerging trends. The article consists of five sections. The introduction provides a rationale as to why AI should be integrated into adult education. Second, it describes evolving AI technologies such as Large Language Models (LLM) for personalized learning, Machine Learning Algorithms for adaptive learning systems, Virtual Reality (VR) and Augmented Reality …

Does Assisted Living Provide Assistance And Promote Living?, Sheryl Zimmerman, Robyn Stone, Paula Carder, Kali Thomas

Institute on Aging Publications

Assisted living has promised assistance and quality of living to older adults for more than eighty years. It is the largest residential provider of long-term care in the United States, serving more than 918,000 older adults as of 2018. As assisted living has evolved, the needs of residents have become more challenging; staffing shortages have worsened; regulations have become complex; the need for consumer support, education, and advocacy has grown; and financing and accessibility have become insufficient. Together, these factors have limited the extent to which today's assisted living adequately provides assistance and promotes living, with negative consequences for aging …

The Biochemical And Metabolic Impact Of 8-Weeks Of Intermittent Energy Restriction On Resistance-Trained Adults: A Pilot Study, Dillon Wells

Masters Theses, 2020-current

Objective: The objective of this study was to evaluate the effects of refeeds and diet breaks on biochemical, body composition, and resting metabolic rate (RMR) measures during an energy-restricted diet.

Methods: Resistance-trained men between the ages of 18-45 participated in an 8-week IER weight loss diet plan. Participants were randomly assigned to one of two dietary intervention groups: Group 1 received two days/week of refeeds (REF), and Group 2 received a one-week diet break every two weeks (BRK). All participants followed a standardized volume weight training protocol. Baseline and post-intervention dual-energy X-ray absorptiometry (DXA) scans and blood measures were conducted …