Digital Commons Network^™

Agent-Based Modeling Of Microglia Behavior In The Context Of Alzheimer's Disease, Emmanuel Mezzulo, Cheyenne Ty, Amanda Case, Abigail Penland, Kamila Larripa

IdeaFest 2024

No abstract provided.

A Political Canary: An Empirical Study Of The Correlation Between Hatch Act Complaints And How The Electoral College Votes, Raimund P. Stieger

University of Florida Journal of Law & Public Policy

The American public witnesses hundreds, if not thousands, of violations of the Hatch Act—an administrative law designed to keep partisan politics out of Government—each year. This study aimed to determine whether there is a correlation between the number of Hatch Act complaints reported in the fiscal year leading up to a Presidential election and how divisive the political landscape is during that Presidential election. Political divisiveness was defined as how close the winning Presidential candidate was to receive fifty percent of the electoral college. To assess the theory that an increase in Hatch Act complaints is an early indicator of …

Tennessee Higher Education Fact Book 2023-2024, Tennessee. Higher Education Commission.

Higher Education Fact Book

No abstract provided.

Articulation And Transfer In Tennessee Higher Education 2024 Report, Tennessee. Higher Education Commission.

Academic Programs and Workforce Reports

No abstract provided.

Chairs Of Excellence Annual Report 2024, Tennessee. Higher Education Commission.

Academic Programs and Workforce Reports

No abstract provided.

Leading From The Middle: Arts Administrators' Beliefs About The Impact Of Arts Education On High-Needs Students, Sofia Fojas

Dissertations

Research on arts education notes the positive impact of arts education on educational outcomes for students, particularly students of color, students in poverty, and students needing additional academic support. Students living in low-income communities receive different educational opportunities than those in high-wealth districts. This disparity is especially true for highly mobile and high-needs students of color. Arts education has made positive differences in student outcomes. This qualitative study examined the beliefs of county arts leads, leaders in the middle, situated between the California Department of Education and their local school districts, and how they can be empowered to be change …

The Nature And Role Of Health Laws In The Writings Of Ellen G. White, Lehel Somogyi

Master's Theses

The Topic

Since the founding of their denomination, Seventh-day Adventists have advocated a particular concept of health based on the visions and writings of denominational co-founder Ellen G. White (1827–1915). According to her writings, certain natural laws are crucial for maintaining health. These laws are often called “the laws of health” or “the eight laws of health” and include principles such as diet, exercise, water, temperance, and hygiene. In Seventh-day Adventist circles, Ellen G. White is usually perceived as the originator of these health principles. Some scholars suggest that she simply borrowed her health principles from other contemporary health reformers. …

Seven Properties Of Highly Effective Problems, Thomas Ales, Kevin Peterson, Constantine Roussos

Journal of Mathematics and Science: Collaborative Explorations

In an effort to provide more critical thinking opportunities in their courses, instructors are embracing the power of problem- and project-based learning (PBL). In this paper we address the importance of problem quality when utilizing PBL. We list seven important properties that a high-quality problem should have. We conclude with an example of a problem that possesses all seven properties.

Introducing Flexible Assessment Into A Computer Networks Course: A Case Study, Joe Meehean

Journal of Mathematics and Science: Collaborative Explorations

With overall positive results and limited drawbacks, I have adapted modern pedagogical techniques to address a common difficulty encountered when teaching a computer networks course. Due to the tiered nature of the skills taught in the course, students often fail unnecessarily. Using mastery learning, competency-based education, and specifications grading as a foundation, I have developed a course that allows students with varied skills and abilities to pass. The heart of this approach is the flexible assessment of programming assignments which eliminates due dates and allows students to have their work graded and regraded without penalty. Flexible assessment also defines an …

Navigating Asynchronous Online Learning: The Impacts Of Active Learning And Assigned Group Work On Student Motivation, Belonging, And Inclusion, Shea Elisabeth Carr

Theses and Dissertations--Biology

Motivation, belonging, and inclusion are all critical factors for student success but can be difficult to support in asynchronous online courses. Active learning and required group work have been shown to increase student motivation in in-person and synchronous online courses, but little is known about their impact in online asynchronous settings. This dissertation aimed to 1) evaluate the effect of active learning on student motivation in an online asynchronous setting and 2) evaluate the impact of assigned group work on student motivation and perceptions of belonging and inclusion within the context of an online, asynchronous physiology laboratory course. It was …

Petrography Study Of The Recent Sediments In Hareer’S Region At Basrah Governorate - Southern Iraq, K J. Al-Sudani, B N. Albadran, A S Y Al-Hadadi, M H. Al-Jaberi, Jennifer R. Pournelle

Faculty Publications

Two sites of Hareer’s region is located in the southern part of Iraq, specifically in the northern Basrah Governorate. The sites are at a depth of 5 meters. The results of heavy mineral analysis showed that there are fifteen types include; Opaque grain (Iron Oxide), Chlorite, Muscovite mica, Biotite, Orthopyroxene, Clinopyroxene, Amphibole (Hornblende and Actinolite), Epidote, Garnet, Kyanite, Staurolite, Zircon, and Tourmaline. On the other hand the light minerals and the results of the mineral analyses revealed that they were primarily composed of rock fragments, with a variety of quartz minerals, feldspar minerals, evaporate minerals, clay-coated grains, and trace amounts …

Designing A Visual Control Framework Based On Feature Point Analysis To Guide Robots In Uncharted Areas, Isam Sadiq Rasham Al-Ghadhbawi

Al-Esraa University College Journal for Engineering Sciences

Image processing may be made more accurate and efficient with the use of optical processing technologies. In order to make better design judgments early in the package design process, visual packaging art simulation aims to swiftly develop realistic packaging effects. Conventional simulation techniques frequently yield findings that are neither realistic or detailed, and they also take a lot of time and human resources. Optical processing-based machine vision technology can fully utilize computer vision and image processing techniques to simulate package designs accurately and efficiently. This research proposes a foundation for machine vision technologies based on image optical processing. Real package …

Beginnings: Nsw Teachers' Views On The Early Stages Of Implementing A New National Curriculum, Julie-Anne Seach

Theses

This PhD study researched NSW teachers’ conceptions of curriculum change after the introduction of a new Australian national curriculum. One key rationale for the development of a national curriculum in Australia was to raise the standard of education by providing excellent curriculum to students in all Australian states and territories. However, educational standards improve through a combination of many factors, including quality teaching.

A curriculum’s success is dependent on the teachers who implement it. While the curriculum itself garnered considerable attention, how classroom teachers responded to it was likely to be a contributing factor to its overall success. Yet, there …

Educators’ Perspectives On University Technology Transfer Processes In The Philippines: A Case Study, Leni Garcia, Kenbert Alan Ting, Mark Van Hoorebeek

Asia-Pacific Intellectual Property Management and Innovation Book Series

As universities extend the scope of their tasks as educational institutions to include technology transfer and commercialization of their faculty’s and students’ research outputs, it becomes necessary to investigate internal systems that facilitate such processes. Existing literature on technology transfer in the Philippines is mostly focused on the transfer of a specific technology, industry–academe research and development (R&D) collaboration, the experience in a specific industry, or the experience in public Philippine higher education institutions (HEIs). The perspectives of educators and researchers who are the recipients of technology transfer services within Philippine HEIs have, so far, not yet been investigated. This …

Development Of A Continuum Damage Constitutive Model And Simulation For Brittle Materials In Space Infrastructure Application, Luis Eduardo Deganis

Dissertations

The purpose of this work is to develop a continuum damage constitutive material model and apply it to structural response characterization of brittle materials for in-situ construction of space infrastructure. This research improves and expands the utility of the physics-based dominant crack algorithm (DCA) model in order to account for very low-strain rate phenomena in plain concrete structures. The DCA model is strain-rate dependent and has been effectively utilized for highly dynamic phenomena. The model has a strong basis in micromechanics and is able to capture the strain-softening response of brittle materials. The newly developed constitutive model can be easily …

Application Of A New Scale-Resolving Turbulence Model To Supersonic Retropropulsion Flows With Chemistry, Gabriel C. Nastac

Dissertations

Turbulent compressible flows are ubiquitous in many engineering applications of flight and propulsion. Computational fluid dynamics simulations are commonly performed to analyze these flows. Scale-resolving turbulence models inherently better capture various flow phenomena, including separation and mixing, as well as enable predictions of fluctuations, which can be critical for design compared to traditional steady-state turbulence models. In this work, new scale-resolving blended Partially-Averaged Navier-Stokes (BPANS) turbulence models are developed to account for compressibility effects and are employed to efficiently simulate turbulent compressible flows. Specifically, supersonic retropropulsion flows are investigated. Supersonic retropropulsion is a key technology for next-generation rockets. The new …

Modeling On-Demand Meal Delivery With Multi-Modal Couriers: Considering Both Certain And Uncertain Orders, Zohre Noormohamadzade

Dissertations

The on-demand meal delivery sector has experienced significant transformation, reshaping consumer dining habits and operational practices in the food delivery industry. This dissertation explores the changing landscape of on-demand meal delivery services through two interrelated topics, namely Modeling On-demand Meal Delivery in a Link-Node Based stochastic User Equilibrium with certain demand and Modeling On-demand Meal Delivery with different vehicle modes and uncertain demand, aiming to address the evolving challenges and opportunities in this dynamic industry. The rest of this dissertation is composed of two parts. The first part addresses the integration of internal restaurant couriers and third-party platform couriers to …

Extended Conformations Of Bifurcating Electron Transfer Flavoprotein Constitute Up To Half The Population, Possibly Mediating Conformational Change, Sharique A. Khan, Alan Hicks, Wellington C. Leite, James Byrnes, Biswajit Gorai, Maria-Andrea Mroginski, Hugh O'Neill, Anne-Francis Miller

Markey Cancer Center Faculty Publications

Electron transfer bifurcation enables biological systems to drive unfavourable (endergonic) electron transfer by coupling it to favourable (exergonic) transfer of a second electron. In electron transfer flavoproteins (ETFs), a domain-scale conformational change is believed to sever the favourable pathway after a single electron has used it, thereby preventing the energy dissipation that would accompany exergonic transfer of the second electron. To understand the conformation change that participates in turnover, we have deployed small-angle neutron scattering (SANS) and computational techniques to characterize the bifurcating ETF from Acidaminococcus fermentans (AfeETF). SANS data reveal an overall radius of gyration (Rg) of 30.1 ± …

Machine-Learning-Assisted Design Of Deep Eutectic Solvents Based On Uncovered Hydrogen Bond Patterns, Usman Lame Abbas, Yuxuan Zhang, Joseph Tapia, Md Selim, Jin Chen, Jian Shi, Qing Shao

Markey Cancer Center Faculty Publications

Non-ionic deep eutectic solvents (DESs) are non-ionic designer solvents with various applications in catalysis, extraction, carbon capture, and pharmaceuticals. However, discovering new DES candidates is challenging due to a lack of efficient tools that accurately predict DES formation. The search for DES relies heavily on intuition or trial-and-error processes, leading to low success rates or missed opportuni- ties. Recognizing that hydrogen bonds (HBs) play a central role in DES formation, we aim to identify HB features that distinguish DES from non-DES systems and use them to develop machine learning (ML) models to discover new DES systems. We first analyze the …

Putting Biomonitors To Work: Native Moss As A Screening Tool For Solid Waste Incineration, Sarah Jovan, Eleonore Jacobson, Jason M. Unrine, Nasser Jalili‑Jahani, Bruce Mccune

Markey Cancer Center Faculty Publications

Solid waste incineration (SWI) can release numerous air pollutants although the geographic reach of emissions is not routinely monitored. While many studies use moss and lichens for biomonitoring trace elements, including around SWIs, few investigate the complex, multi-element footprint expected from SWI emissions. This study develops using native moss as a screening tool for SWI while also informing community concerns about an aging incinerator in rural Oregon, USA. Trained community volunteers helped collect 36 composite samples of epiphytic moss (Orthotrichum s.l.) along a 32-km transect from the SWI. We used ICP-MS to measure 40 elements in moss, including 14 rare …

Biliverdin Reductase-A Integrates Insulin Signaling With Mitochondrial Metabolism Through Phosphorylation Of Gsk3Β, Chiara Lanzillotta, Antonella Tramutola, Simona Lanzillotta, Viviana Greco, Sara Pagnotta, Caterina Sanchini, Silvia Di Angelantonio, Elena Forte, Serena Rinaldo, Alessio Paone, Francesca Cutruzzolà, Flavia Agata Cimini, Ilaria Barchetta, Maria Gisella Cavallo, Andrea Urbani, D. Allan Butterfield, Fabio Di Domenico, Bindu D. Paul, Marzia Perluigi, Joao M.N. Duarte

Markey Cancer Center Faculty Publications

Brain insulin resistance links the failure of energy metabolism with cognitive decline in both type 2 Diabetes Mellitus (T2D) and Alzheimer’s disease (AD), although the molecular changes preceding overt brain insulin resistance remain unexplored. Abnormal biliverdin reductase-A (BVR-A) levels were observed in both T2D and AD and were associated with insulin resistance. Here, we demonstrate that reduced BVR-A levels alter insulin signaling and mitochondrial bioenergetics in the brain. Loss of BVR-A leads to IRS1 hyper-activation but dys- regulates Akt-GSK3β complex in response to insulin, hindering the accumulation of pGSK3βS9 into the mito- chondria. This event impairs oxidative phosphorylation and fosters …

Perfluorooctanesulfonic Acid Exposure Leads To Downregulation Of 3-Hydroxy-3-Methylglutaryl-Coa Synthase 2 Expression And Upregulation Of Markers Associated With Intestinal Carcinogenesis In Mouse Intestinal Tissues, Josiane Weber Tessmann, Pan Deng, Jerika Durham, Chang Li, Moumita Banerjee, Qingding Wang, Ryan A. Goettl, Daheng He, Chi Wang, Eun Y. Lee, B. Mark Evers, Bernhard Hennig, Yekaterina Y. Zaytseva

Markey Cancer Center Faculty Publications

Perfluorooctanesulfonic acid (PFOS) is a widely recognized environment pollutant known for its high bio- accumulation potential and a long elimination half-life. Several studies have shown that PFOS can alter multiple biological pathways and negatively affect human health. Considering the direct exposure to the gastrointestinal (GI) tract to environmental pollutants, PFOS can potentially disrupt intestinal homeostasis. However, there is limited knowledge about the effect of PFOS exposure on normal intestinal tissues, and its contribution to GI- associated diseases remains to be determined. In this study, we examined the effect of PFOS exposure on the gene expression profile of intestinal tissues of …

Sedimentation Of Large, Soluble Proteins Up To 140 Kda For 1h-Detected Mas Nmr And 13c Dnp Nmr – Practical Aspects, Dallas Bell, Florian Lindemann, Lisa Gerland, Hanna Aucharova, Alexander Klein, Daniel Friedrich, Matthias Hiller, Kristof Grohe, Tobias Meier, Barth Van Rossum, Anne Diehl, Jon Hughes, Leonard J. Mueller, Rasmus Linser, Anne-Frances Miller, Hartmut Oschkinat

Markey Cancer Center Faculty Publications

Solution NMR is typically applied to biological systems with molecular weights < 40 kDa whereas magic-angle-spinning (MAS) solid-state NMR traditionally targets very large, oligomeric proteins and complexes exceeding 500 kDa in mass, including fibrils and crystalline protein preparations. Here, we propose that the gap between these size regimes can be filled by the approach presented that enables investigation of large, soluble and fully protonated proteins in the range of 40–140 kDa. As a key step, ultracentrifugation produces a highly concentrated, gel-like state, resembling a dense phase in spontaneous liquid-liquid phase separation (LLPS). By means of three examples, a Sulfolobus acidocaldarius bifurcat- ing electron transfer flavoprotein (SaETF), tryptophan synthases from Salmonella typhimurium (StTS) and their dimeric β-subunits from Pyrococcus furiosus (PfTrpB), we show that such samples yield well-resolved proton-detected 2D and 3D NMR spectra at 100 kHz MAS without heterogeneous broadening, similar to diluted liquids. Herein, we provide practical guidance on centrifugation conditions and tools, sample behavior, and line widths expected. We demonstrate that the observed chemical shifts correspond to those obtained from μM/low mM solutions or crystalline samples, indicating structural integrity. Nitrogen line widths as low as 20–30 Hz are observed. The presented approach is advantageous for proteins or nucleic acids that cannot be deuterated due to the expression system used, or where relevant protons cannot be re-incorporated after expression in deuterated medium, and it circumvents crystallization. Importantly, it allows the use of low-glycerol buffers in dynamic nuclear polarization (DNP) NMR of proteins as demonstrated with the cyanobacterial phytochrome Cph1.

Interactions Between Multiple Stressors, Nanomaterials And A Pathogen, In Caenorhabditis Elegans, Jarad Cochran

Theses and Dissertations--Plant and Soil Sciences

Metal and metal oxide nanoparticles (NP), which have received interest for use in agriculture, show in vitro and in vivo toxicity at relatively low concentrations. Silver nanoparticles (Ag NP) and zinc oxide nanoparticles (ZnO NP) cause adverse effects in model soil organisms under environmentally relevant conditions. In most toxicity assessments of nanomaterials, model organisms are exposed to a single stressor. Though single stressor experiments are essential to understanding the fate and effects of released NP, in nature, organisms are affected by multiple stressors, including pathogens, which might exacerbate or mitigate negative effects of NP exposure. There is limited research on …

Multi-Omics Integrative Analysis For Incomplete Data Using Weighted P-Value Adjustment Approaches, Wenda Zhang, Zichen Ma, Yen Yi Ho, Shuyi Yang, Joshua Habiger, Hsin Hsiung Huang, Yufei Huang

Faculty Publications

The advancements in high-throughput technologies provide exciting opportunities to obtain multi-omics data from the same individuals in a biomedical study, and joint analyses of data from multiple sources offer many benefits. However, the occurrence of missing values is an inevitable issue in multi-omics data because measurements such as mRNA gene expression levels often require invasive tissue sampling from patients. Common approaches for addressing missing measurements include analyses based on observations with complete data or multiple imputation methods. In this paper, we propose a novel integrative multi-omics analytical framework based on p-value weight adjustment in order to incorporate observations with incomplete …

Young Children's 21st Century Mathematical Skills And The Role Of The Early Childhood Environment In Developing These Skills, Mistelle Moore

Theses

This research examined the preparation of young children in an Early Years school environment in the development of 21st Century mathematical skills including critical thinking, problem-solving, innovation, collaboration, creativity, and communication. The research used a field-based case study using qualitative data collection methods, and the data were reviewed using thematic analysis. The research explores the pedagogical strategies employed by an Early Years teacher and the interplay of various stakeholders in nurturing 21st Century mathematics competencies among young learners. Key findings of the research indicated that there were eight elements that Early Years teachers should apply in their mathematics lessons as …

Influences Of Professors' Personality Traits, Teaching Styles, And Generational Affiliation On Technology Acceptance: A Mixed-Methods Exploration Of Blended Learning Readiness, Joey K. Freeman

Education Dissertations

The abrupt transition to emergency remote teaching during the COVID-19 pandemic offered minimal time to prepare, resulting in faculty reliance on prior pedagogical practices in the shift to an online instructional environment. Although the pandemic altered the learning environment in the short-term, it also offered a glimpse of how higher education institutions (HEIs) could transform their learning environments in the long-term. Though a body of literature exists on factors that influence technology acceptance, a limited number of studies have explored personality traits, teaching styles, and generational affiliation. An adapted Technology Acceptance Model considered these variables as antecedents to perceptions, attitudes, …

Investigation Of Delta-Focused Ictal Electrical Source Imaging In Refractory Focal Epilepsy, Jared A. Rybarczyk

Theses and Dissertations--Electrical and Computer Engineering

Refractory focal epilepsy is characterized by the presence of seizures that cannot be controlled via anti-seizure medications. For patients suffering from this form of epilepsy, accurate identification of the seizure onset zone is a crucial step for many modalities of treatment. Electrical source imaging (ESI) allows for estimation of the seizure onset zone from electroencephalography. EEG feature extraction is an important step that can impact the final accuracy of source estimates. This work provides a review of 23 ictal ESI studies and proposes a delta-focused ictal ESI methodology. Our proposed delta-focused ictal ESI is implemented across 33 refractory focal epilepsy …

Cross-Layer Design Of Highly Scalable And Energy-Efficient Ai Accelerator Systems Using Photonic Integrated Circuits, Sairam Sri Vatsavai

Theses and Dissertations--Electrical and Computer Engineering

Artificial Intelligence (AI) has experienced remarkable success in recent years, solving complex computational problems across various domains, including computer vision, natural language processing, and pattern recognition. Much of this success can be attributed to the advancements in deep learning algorithms and models, particularly Artificial Neural Networks (ANNs). In recent times, deep ANNs have achieved unprecedented levels of accuracy, surpassing human capabilities in some cases. However, these deep ANN models come at a significant computational cost, with billions to trillions of parameters. Recent trends indicate that the number of parameters per ANN model will continue to grow exponentially in the foreseeable …

Nonuniform Sampling-Based Breast Cancer Classification, Santiago Posso

Theses and Dissertations--Electrical and Computer Engineering

The emergence of deep learning models and their success in visual object recognition have fueled the medical imaging community's interest in integrating these algorithms to improve medical diagnosis. However, natural images, which have been the main focus of deep learning models and mammograms, exhibit fundamental differences. First, breast tissue abnormalities are often smaller than salient objects in natural images. Second, breast images have significantly higher resolutions but are generally heavily downsampled to fit these images to deep learning models. Models that handle high-resolution mammograms require many exams and complex architectures. Additionally, spatially resizing mammograms leads to losing discriminative details essential …