Digital Commons Network^™

A Physics-Based Material Model Incorporating Strain Gradient Plasticity Formulations In A Mean-Field Framework To Predict Spatial Fluctuation Of Material Properties, Zhangxi Feng

Doctoral Dissertations

With the market expansions and increasing number of scientific explorations, the demands for manufacturing metallic parts to satisfy specific requirements continue to increase. A slight improvement in the manufacturing process can result in great cost savings in time and energy. The research and development time to identify these areas of improvements can be greatly reduced using numerical models. One such model is the mean-field elastoplastic self-consistent (EPSC) framework studied extensively and advanced in this dissertation. In the past two decades, many material behavior formulations were implemented in EPSC, and the model has shown versatility and accuracy in predicting a wide …

“Why You Understand The Why”: A Qualitative Characterization Of The Metacognitive Competence Of Introductory Stem Peer Coaches, Jonathan Kustina

Doctoral Dissertations

The processes of metacognition are vital for students’ development of critical thinking skills and productive learning mindsets, yet many students never receive the direct instruction that would allow them to formally develop their metacognition. As instructors are typically not providing this instruction, there may be an alternate source to facilitate the learning of metacognition to students. This research study will investigate the viability of having peer coaches, undergraduate peer educators who help facilitate learning and problem solving in introductory STEM courses, facilitate metacognition to their students. Specifically, this research study aims to understand and characterize the metacognitive competence of the …

Engineer-Friendly Synergetic Methodology For Surrogate Modeling Of Complex Connections By Modal-Based Low-Fidelity Finite Element Model Updating Approach, Milad Mehrkash

Doctoral Dissertations

Finite element models are widely used to simulate the behavior of structures. They can also be utilized for structural condition assessment and health monitoring. However, due to software limitations, simplifying assumptions, and lack of knowledge about the system properties, the predictions of the numerical models may deviate from laboratory or field measurements of the actual structure. This issue may be further exacerbated by the simplifications applied in modeling complex connections, which is a common practice in numerical modeling to save time and effort. While finite element model updating improves the accuracy of numerical models, physics-based surrogate modeling of connections balances …

Artificial Intelligence Driven Magnetic Materials Discovery: From Data Extraction To Property Prediction, Yibo Zhang

Doctoral Dissertations

This dissertation presents an integrated artificial intelligence framework aimed at accelerating magnetic materials discovery by addressing key challenges in materials science: improving experimental characterization techniques, efficiently extracting structured data from scientific literature, developing comprehensive materials databases, and creating reliable predictive models.

We first develop a UNet-enhanced vector field electron tomography (VFET) approach for three-dimensional magnetic structure reconstruction. This method addresses the missing wedge problem in experimental data collection while maintaining computational efficiency, providing reliable experimental data crucial for materials research.

We introduce GPTArticleExtractor, a novel workflow leveraging large language models to automatically extract key information from scientific literature. Applied to …

Improving Understanding Of Fluvial Reach-Scale Solute Transport And Uptake Using A Particle Tracking Model And Random Forest Machine Learning Model, Jiaying Liu

Doctoral Dissertations

In addition to transporting flowing water, river systems carry dissolved nutrients and pollutants, which can experience chemical reactions, biological uptake, or retention in surface or hyporheic zones. This dissertation enhances our understanding of solute transport and uptake in river reaches through three main components. The first component involves the development of a novel curve-fitting model designed to capture the characteristics of pulse-release breakthrough curves (BTCs) from tracer studies with conservative solutes. The model, which was found to be applicable to a wide range of field studies, enables the rapid comparison of transport parameters among diverse field studies obtained under a …

Deformation-Induced Bonding Of Glassy Polymeric Films And The Diluent Effect, Ajay Vallabh

Doctoral Dissertations

Bonding between two polymer films can be achieved through various heat- or chemical-based methods. Recently, our group has discovered the novel phenomenon of deformation-induced bonding (DIB) for solid-state glassy polymers in time on the scale of a fraction of a second at ambient temperatures substantially below the bulk glass transition temperatures (T_g). DIB is achieved by bulk plastic compression, which triggers the molecular mobility of polymer chains to cause interpenetration across the interface even in a glassy regime.

First, we performed a series of experiments to evaluate solid-state, deformation-induced bonding in organic polymer blends composed of films of hydroxypropyl methylcellulose …

Ascende Altius: Issue 4, Cynthia Haynes, Uofm Graduate School

Ascende Altius

Welcome to the UofM Graduate School newsletter Ascende Altius! The name of the UofM’s new strategic plan is Ascend. The word “ascend” means to climb, to move upward. It is fitting, then, that the Graduate School’s newsletter be named Ascende Altius! —a Latin phrase meaning “Climb higher!” With over 20 doctoral programs, 40 master’s programs, and a variety of graduate certificates, the University of Memphis graduate school can help you continue your educational journey and reach new heights. We encourage you to explore our flexible and affordable programs.

In this newsletter, you will read about our amazing alumni and students …

From The Personal To The Professional: International Student Experiences Of Seeking Employment In The United States, Hayley Weiner, Peter G. Ghazarian

Journal of Comparative & International Higher Education

No abstract provided.

Bad Plants, Heather I. Sullivan

Modern Languages and Literatures Faculty Research

“Bad plants” represent the seemingly unexpected and startling forms of plant power overlooked by many modern, industrialized societies that treat vegetal beings as mere resources instead of animate, world-shaping forces. Since science fiction and fairy tales often explore more openly animistic visions of non-human life, such texts provide ample possibilities for reconsideration by critical plant studies of our human-plant relations both cultural and ecological. For example, both Jack McDevitt’s 2001 science fiction novel, Deepsix, and Ludwig Tieck’s 1799 fairy tale, “Faithful Eckart and Tannhäuser”, feature “bad plants” that bring human beings violently back into the plant cycles they assume they …

Counting Catalan: An Experimental Evaluation Of The Mixing Time For The Triangulation Markov Chain, Roy Gotlieb

Master's Theses

Monte Carlo Markov chains (MCMCs) are used in many areas as a way to model a system’s behavior. By running a probabilistic simulation on a system’s state space, we can estimate properties of the system that could be untenable to directly compute. It is of interest to determine how quickly a Markov chain mixes\textemdash that is, settles into its stationary distribution. One such chain is induced by taking a binary search tree and performing a rotation or flip on one of its edges. We know that this chain eventually settles into the uniform distribution, but the time complexity bounds on …

Sustainable And User-Driven Scope Development Framework For Engineering Design Services Of Transportation Infrastructure Projects, Ahmad Zaki Ghafari

All Dissertations

Rapid economic growth has led to a significant increase in transportation demands, exerting unprecedented pressure on infrastructure systems in the United States. State transportation agencies play a vital role in maintaining and developing transportation infrastructure networks within their regions. State transportation agencies face immense pressure from federal and state governments, elected officials, and the public to deliver projects efficiently and within budget. State transportation agencies rely on professional consultants for engineering design services. Engineering design services for transportation infrastructure projects are delayed due to incomplete inaccurate scope. For state Department of Transportation (DOTs), a streamlined scope development process is essential …

Magnetic Resonance Imaging Trackable Pathology-Triggered Polymersomes Toward Enzyme Replacement Theranostics For Gm1 Gangliosidosis, Dorian Foster

All Dissertations

This dissertation investigates the development and optimization of pathology-responsive polymersomes for simultaneous enhanced magnetic resonance imaging (MRI) and enzyme replacement therapy (ERT) in the treatment of GM1 gangliosidosis (GM1). While therapeutic strategies exist for similar, non-neuropathic lysosomal storage disorders, implementation towards GM1 faces significant challenges due to the blood-brain barrier.

Herein, we developed and characterized a range of low molecular weight hyaluronic acid-b-polylactic acid (HA-PLA) polymersomes (PSs) capable of encapsulating therapeutic enzymes in their hydrophilic core. These polymersomes exhibit pathophysiology-triggered responsiveness, degrading in the presence of acidic conditions, which is characteristic of lysosomes, and enzymes such as hexosaminidase A, which …

Low-Cost Vehicle Controller Testing System, Kevin R. Jung

Electrical Engineering

This project aims to create a system to facilitate easier evaluation of PCBs designed for low-voltage vehicle applications with an emphasis on accessibility for student teams in collegiate design series' such as Formula SAE. Student teams or smaller vehicle electronics manufacturers often need to verify designs and validate functionality during both development and manufacturing. An inexpensive, small, and portable, yet capable, system for taking measurements and simulating inputs would allow designers to put their boards into vehicle-representative conditions and environments without needing to connect to actual vehicle hardware. Additionally, while systems exist off-the-shelf that could fulfill the requirements needed by …

Oxygenation Influences Xylose Fermentation And Gene Expression In The Yeast Genera Spathaspora And Scheffersomyces, Katharina O. Barros, Megan Mader, David J. Krause, Jasmyn Pangilinan, Bill Andreopoulos, Anna Lipzen, Stephen J. Mondo, Igor V. Grigoriev, Carlos A. Rosa, Trey K. Sato, Chris Todd Hittinger

Faculty Research, Scholarly, and Creative Activity

Background: Cost-effective production of biofuels from lignocellulose requires the fermentation of d-xylose. Many yeast species within and closely related to the genera Spathaspora and Scheffersomyces (both of the order Serinales) natively assimilate and ferment xylose. Other species consume xylose inefficiently, leading to extracellular accumulation of xylitol. Xylitol excretion is thought to be due to the different cofactor requirements of the first two steps of xylose metabolism. Xylose reductase (XR) generally uses NADPH to reduce xylose to xylitol, while xylitol dehydrogenase (XDH) generally uses NAD+ to oxidize xylitol to xylulose, creating an imbalanced redox pathway. This imbalance is thought to be …

Piloting A Novel Computational Framework For Identifying Prosthesis-Specific Contributions To Gait Deviations, Jacques Ezechiel N'Guessan, Muhammad Hassaan Ahmed, Matthew Leineweber, Sachin Goyal

Faculty Research, Scholarly, and Creative Activity

This paper introduces a novel computational framework for evaluating above-knee prostheses, addressing a major challenge in gait deviation studies: distinguishing between prosthesis-specific and patient-specific contributions to gait deviations. This innovative approach utilizes three separate computational models to quantify the changes in gait dynamics necessary to achieve a set of ideal gait kinematics across different prosthesis designs. The pilot study presented here employs a simple two-dimensional swing-phase model to conceptually demonstrate how the outcomes of this three-model framework can assess the extent to which prosthesis design impacts a user's ability to replicate the dynamics of able-bodied gait. Furthermore, this framework offers …

Predevelopment Revolving Loan Funds To Develop Affordable Housing: Program Features And How They Can Be Strengthened, Shishir Mathur, Hilary Nixon, Shreya Chokshi

Faculty Research, Scholarly, and Creative Activity

Predevelopment revolving loan funds (PDRLFs) are pools of money from which loans are made and to which loan repayments flow in. They are a part of revolving loan funds (RLFs) that are extensively used in the US to support small businesses and housing. However, PDRLFs' use for funding affordable housing is little-studied. This paper begins to fill this research gap through a literature review and case studies to better understand the key features and the ways to strengthen affordable housing-focused PDRLFs. Finally, it suggests key strategies to strengthen them further, which include flexible funding by the state and federal governments …

Comparing Continuum And Direct Fiber Models Of Soft Tissues: An Ocular Biomechanics Example Reveals That Continuum Models May Artificially Disrupt The Strains At Both The Tissue And Fiber Levels, Xuehuan He, Mohammad R. Islam, Fengting Ji, Bingrui Wang, Ian A. Sigal

Mechanical Engineering Faculty Publications

Collagen fibers are the main load-bearing component of soft tissues but difficult to incorporate into models. Whilst simplified homogenization models suffice for some applications, a thorough mechanistic understanding requires accurate prediction of fiber behavior, including both detailed fiber-level strains and long-distance transmission. Our goal was to compare the performance of a continuum model of the optic nerve head (ONH) built using conventional techniques with a fiber model we recently introduced which explicitly incorporates the complex 3D organization and interaction of collagen fiber bundles [1]. To ensure a fair comparison, we constructed the continuum model with identical geometrical, structural, and boundary …

Biaxial Strain Tuned Upconversion Photoluminescence Of Monolayer Ws2, Shrawan Roy, Xiaodong Yang, Jie Gao

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Monolayer tungsten disulfide (1L-WS₂) is a direct bandgap atomic-layered semiconductor material with strain tunable optical and optoelectronic properties among the monolayer transition metal dichalcogenides (1L-TMDs). Here, we demonstrate biaxial strain tuned up conversion photoluminescence (UPL) from exfoliated 1L-WS₂ flakes transferred on a flexible polycarbonate cruciform substrate. When the biaxial strain applied to 1L-WS₂ increases from 0 to 0.51%, it is observed that the UPL peak position is redshifted by up to 60 nm% strain, while the UPL intensity exhibits exponential growth with the up-conversion energy difference varying from − 303 to − 120 meV. The measured …

Uncovering Upconversion Photoluminescence In Layered Pbi2 Above Room Temperature, Sharad Ambardar, Xiaodong Yang, Jie Gao

Mechanical and Aerospace Engineering Faculty Research & Creative Works

As a van der Waals (vdW) layered semiconductor material, lead iodide (PbI2) possessing a direct bandgap with strong photoluminescence emission in visible range has gained wide attention in applications of photonic and optoelectronic devices. Here, up conversion photoluminescence (UPL) in exfoliated PbI2 flakes is demonstrated at room temperature and elevated temperatures. The linear power dependence of UPL emission with 532 nm excitation suggests the one-photon involved multiphonon-assisted UPL emission process, which is revealed by the temperature-dependent UPL emission measurement. Meanwhile, the nonlinear power dependence of UPL emission with 561 nm excitation indicates the transition of UPL emission mechanism from linear …

Fpga-Based Sensors For Distributed Digital Manufacturing Systems: A State-Of-The-Art Review, Laraib Khan, Sriram Praneeth Isanaka, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The combination of distributed digital factories (D2Fs) with sustainable practices has been proposed as a revolutionary technique in modern manufacturing. This review paper explores the convergence of D2F with innovative sensor technology, concentrating on the role of Field Programmable Gate Arrays (FPGAs) in promoting this paradigm. A D2F is defined as an integrated framework where digital twins (DTs), sensors, laser additive manufacturing (laser-AM), and subtractive manufacturing (SM) work in synchronization. Here, DTs serve as a virtual replica of physical machines, allowing accurate monitoring and control of a given manufacturing process. These DTs are supplemented by sensors, providing near-real-time data to …

Surface Interaction Changes In Minerals For Underground Hydrogen Storage: Effects Of Co2 Cushion Gas, Hamid Esfandyari, Alireza Safari, Ali Hashemi, Aliakbar Hassanpouryouzband, Manouchehr Haghighi, Alireza Keshavarz, Abbas Zeinijahromi

Research outputs 2022 to 2026

Hydrogen (H2) offers a promising solution for the energy transition but storing it on a large scale at the surface poses significant technical and environmental challenges. Underground formations provide a practical alternative for large-scale H2 storage, yet understanding H2 behavior under various subsurface conditions is crucial for optimizing storage capacity and efficiency, which are influenced by rock properties such as wettability. This study addresses the gap in literature regarding the wettability of different minerals when CO2 was injected with H2 as a cushion gas. We examined the wettability of various mineral rocks in realistic subsurface circumstances. A series of wettability …

Anthocyanin Extraction Methods: Synthesis Of Morpho-Anatomical Knowledge For Decision-Making Based On Decision-Tree, Gabriel Laquete De Barros, F.T.S. Silva, R.S. Teixeira, J.G. Wagner, C.V. Rombaldi, M. Vizzotto, A. Ubeyitogullari, L. Nora

Biological and Agricultural Engineering Faculty Publications and Presentations

Efficient anthocyanin extraction from emerging food matrices is essential in food technology and requires a precise, consistent, and clear extraction method. This study aimed to develop a decision-tree tool for selecting the optimal anthocyanin extraction technique. A comprehensive data synthesis covering the years 2018 to 2023 was conducted using leading academic databases, including Web of Science, Scopus, Medline, and SciELO. A combination of systematic and non-systematic approaches was employed to guide the decision-making process. The keywords used included “anthocyanin extraction methods,” and studies with more than 10 citations were prioritized, along with recent and relevant publications. Thirty-six articles were analyzed …

Organizational Factors Enabling Augmented Analytic And Bi 4.0 Implementation Success, Randy A. Williams, Gazi Murat Duman, Elif Kongar, Nasir J. Sheikh

Engineering and Technology Management Faculty Publications and Presentations

The implementation of modern Business Intelligence (BI) 4.0 and Augmented Analytics solutions is drastically influenced by organizational factors, which are widely recognized as significant drivers of success. Many researchers endeavor to understand critical success factors of BI implementation using various models, most all of which include Organizational components, along with others. Earlier studies have suggested components within the Organizational perspective play a critical role in driving overall BI implementation success. However, the research on organizational factors that focus on the advanced version of BI and augmented analytics is not well established. Addressing this need, the current work focuses on filling …

Intellectual Property, Global Inequality, And Subnational Policy Variations, Peter K. Yu

Faculty Scholarship

This chapter criticizes the oversimplification of the binary North–South debate on intellectual property, innovation, and global inequality and highlights the wide geographic, sectoral, and income inequalities within middle-income countries. It begins by explaining why the arrival of these countries has called into question the North–South debate. The chapter then moves from the widely studied subject of global inequality to the underexplored topic of national inequality. Focusing on the intellectual property context, the discussion highlights the considerable subnational variations in the economic and technological conditions of middle-income countries. To combat national inequality, this chapter concludes by recommending interventions in three areas: …

Detecting Fraudulent Medicare Claims With Imbalanced Data Classification, Akbota Aitbayeva

Mathematics Theses, Dissertations, Research and Student Creative Activity

Medicare, a public health insurance program, provides essential coverage to older adults and individuals with certain disabilities but suffers significant financial losses from fraudulent activities such as false claims and upcoding. To combat this, machine learning techniques, including XGBoost and Random Forest, were employed to detect fraudulent behavior in Medicare data provided by Mutual of Omaha. A key challenge in fraud detection is the imbalance in datasets, with legitimate claims vastly outnumbering fraudulent ones. This study addressed the issue using cost-sensitive methods and sampling techniques, including Random Oversampling, SMOTE, and Random Undersampling. A baseline model without any imbalance techniques was …

Characterizing The Usda-Npgs Germplasm Collection Of Tartary Buckwheat (Fagopyrum Tataricum), Noah Joseph Abasciano

Master's Theses and Capstones

AbstractTartary buckwheat (Fagopyrum tataricum) is a promising underutilized crop in the context of New England’s rapidly changing environment (USDA NH State Profile, 2022). Despite substantive prior work on the genetics and nutrition of Tartary buckwheat (Zhang et al., 2017b), many practical questions pertaining to its potential cultivation in New England remain unanswered. This thesis presents the first systematic genotypic and phenotypic screening of the USDA National Plant Germplasm System's (NPGS) Tartary buckwheat germplasm collection in an effort to lay the foundations for future crop improvement efforts. The genotypic assessment of the NPGS Tartary buckwheat germplasm was completed by first bottlenecking …

From Classroom To Career: Preparing Future Geoscientists For Workforce Success, Gregory Shafer

Boise State University Theses and Dissertations

The wide range of career opportunities for geoscience students, combined with a changing workforce, makes it more challenging for undergraduate programs to adequately prepare students for their careers. Therefore, it is important for geoscience programs to have a comprehensive view of the workforce needs and what barriers students may encounter when transitioning to the workforce. This dissertation identifies key skills and competencies essential for bachelor-level geoscientists, as well as potential barriers for recent graduates entering the workforce. The study analyzed entry-level geoscience job advertisements using a case-insensitive code matching function in MATLAB and conducted interviews with geoscience employers to identify …

Understanding The Present And Preparing For The Future In Collegiate Esports, Marc C. Dearmond

Boise State University Theses and Dissertations

While esports continues to grow as a varsity sport across higher education campuses, new programs are being built focusing on esports as a field of study. However, more research is needed about how esports programs are being administered on college campuses and how these programs are being measured for success. This three-article dissertation focuses on esports at the collegiate and undergraduate levels. The first study is a literature review focused on topics of research available for reading assignments in an online program based on the esports ecosystem as defined by Anderson et al. (2018). It contains an examination of current …

Immersive Simulations In Tourism Education: A Case Study, Eric Hawkinson

Boise State University Theses and Dissertations

This research employed a mixed-method case study approach to explore the experiences of participants in immersive tourism simulations within vocational tourism studies. Utilizing the ”My Hometown Project,” a virtual tourism platform, the study designed and deployed tourism simulations where groups of students guided guests through virtual tours, blending immersive technology with face-to-face interaction in the ”Future Hub,” an innovative immersive learning laboratory. A mixed-methods approach was adopted, collecting reports from groups post-simulation (Shared Immersive Experience Reports - SIER) for qualitative insights and administering post-simulation surveys to measure presence and motivation quantitatively. This approach aimed to provide a comprehensive understanding of …

Modeling Snow Surface Properties From Lidar And Imaging Spectroscopy, Brenton A. Wilder

Boise State University Theses and Dissertations

Seasonal snow surface plays an important role in altering terrestrial hydrology and global climate patterns. Snow reflects a majority of incoming shortwave radiation thereby reducing the net shortwave radiation received into snowpack throughout the season. This property is commonly referred to as snow albedo and impacts water cycles and air temperatures by modulating the timing and magnitude of melt. This reflectivity of snow is difficult to measure accurately in mountain environments and at a large enough scale to be meaningful for water resource managers and climate scientists. The work presented herein aims to improve methodologies to measure snow reflectivity from …