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Full-Text Articles in Entire DC Network
Factors Contributing To Chronic Student Absenteeism In Low Socioeconomic Urban Elementary Schools: An Analysis Of Multiple Stakeholders’ Perspectives, Kellen D. Conaway
Factors Contributing To Chronic Student Absenteeism In Low Socioeconomic Urban Elementary Schools: An Analysis Of Multiple Stakeholders’ Perspectives, Kellen D. Conaway
Graduate Theses and Dissertations
The purpose of this study was to examine factors contributing to chronic student absenteeism in two lower socioeconomic urban elementary schools. This qualitative study was guided by two research questions: 1) What are stakeholders’ perspectives on chronic absenteeism at Mission and Lincoln Elementaries? and 2) What changes to practice or policy could improve attendance at Mission and Lincoln Elementaries? Research question one was answered via data collected from interviews with purposefully selected parents, teachers, administrators, social workers, and nurses. Analysis of interview data led to the identification of three themes which reflect stakeholders’ perspectives on chronic absenteeism at Mission and …
Comparing And Evaluating Models Of Tile-Assembly Using Intrinsic Simulation, Daniel Hader
Comparing And Evaluating Models Of Tile-Assembly Using Intrinsic Simulation, Daniel Hader
Graduate Theses and Dissertations
Tile-assembly studies abstract models of computation inspired by advancements in the emerging field of DNA-nanotechnology, where synthetic strands of DNA are used as building blocks for microscopic structures. These DNA strands can be made to combine into structural units with selectively sticky sides that abstractly resemble Wang tiles. However, unlike Wang tiles, an assembly process is modeled where tiles combine one-by-one to form larger assemblies according to matching rules based on their sticky sides. While in practice, these tile-assembly models have seen use in designing DNA nano-structures, the mathematical study of their theory has revealed an exciting interplay between geometric …
Synthesis Of Chemical Fuels And Feedstocks From Co2 For Extraterrestrial Applications, Samuel Keith Conlin
Synthesis Of Chemical Fuels And Feedstocks From Co2 For Extraterrestrial Applications, Samuel Keith Conlin
Graduate Theses and Dissertations
The reduction of CO2 into products for either the storage of renewable electricity or to act as a source of renewable feedstock for industry, is not economically feasible given the current costs of renewable energy. Significant amounts of work have gone into attempting to optimize both electrochemical and nonthermal plasma-based CO2 reduction systems in an attempt to reduce side reactions and improve energy efficiency in order to meet cost feasibility targets. These techniques can also be adapted for In-Situ Resource Utilization (ISRU) contexts, which are far less sensitive to the cost of renewable energy yet have more strenuous …
Real-Time Simulation And Workforce Development For Industrial Control Systems With Troy: Testbed For Resilient Operational Systems, Gideon Henry Sutterfield
Real-Time Simulation And Workforce Development For Industrial Control Systems With Troy: Testbed For Resilient Operational Systems, Gideon Henry Sutterfield
Graduate Theses and Dissertations
Digital automation for critical infrastructure (CI) is largely supported by industrial control systems (ICS) and operational technology (OT). The increase in digital automation as time progresses correlates with a rise in targeted cyberattacks at these vulnerable yet precious assets. TROY: Testbed for Resilient Operational sYstems, a highly scalable hybrid IT & OT utilizing virtual machines and a Typhoon-HIL real-time simulation, contributes to cybersecurity for CI by serving as a research and workforce development platform. By using Typhoon-HIL to simulate ICS, the platform can be used to replicate a realistic network environment for a myriad of research functions. The system uses …
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 …
An Automated Design Flow From Synchronous Rtl To Optimized Layout Using Commercial Eda Tools For Multi-Threshold Null Convention Logic Circuits, Cole Harrington Sherrill
An Automated Design Flow From Synchronous Rtl To Optimized Layout Using Commercial Eda Tools For Multi-Threshold Null Convention Logic Circuits, Cole Harrington Sherrill
Graduate Theses and Dissertations
This work presents the first automated design flow from synchronous RTL to highly optimized layout for Multi-Threshold NULL Convention Logic (MTNCL) circuits. The developed synthesis flow overcomes many of the drawbacks of existing attempts and leverages the advanced optimization features provided by modern synthesis tools. The remaining timing race conditions native to the MTNCL architecture have been identified and thoroughly explored. Two sets of novel timing constraints were devised: the first responds to these race conditions, yielding highly reliable MTNCL circuits; the second directly targets the critical paths within MTNCL circuits, allowing the designer to optimize the target circuit for …
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 …
Enhancing Smart Grid Security And Resilience Using Programmable Networks, Zheng Hu
Enhancing Smart Grid Security And Resilience Using Programmable Networks, Zheng Hu
Graduate Theses and Dissertations
The security and resilience of smart grids are essential to ensuring reliable and efficient energy distribution, especially as these cyber-physical systems grow more interconnected and complex. Supervisory Control and Data Acquisition (SCADA) systems play a critical role in smart grid operations by enabling essential infrastructure control and real-time monitoring. However, SCADA systems are highly vulnerable to modern cyber threats, which target weaknesses in industrial protocols and real-time data requirements.
This dissertation investigates the potential of programmable network technologies, with a focus on P4 (Programming Protocol-independent Packet Processors) switch, to deliver adaptable, in-network security solutions tailored to the needs of smart …
Employee Development And Employee Resilience In The Post-Covid-19 Workplace: A Quantitative Study Of High School Educators, Amy Keiser Maffei
Employee Development And Employee Resilience In The Post-Covid-19 Workplace: A Quantitative Study Of High School Educators, Amy Keiser Maffei
Graduate Theses and Dissertations
The problem addressed by this research is the need for protective factors to support teacher resilience. Organizations that fail to develop employee resilience risk failing to enjoy the positive outcomes associated with it. Research-based methods to improve resilience may benefit organizations, including school districts. The purpose of this study was to examine the relationship between employee development provided by a school district and the resilience of its high school teachers in the post-Covid-19, in-person workplace. Conservation of Resources theory served as the framework to guide the research. Study participants completed a questionnaire with Likert-style response options, with items to assess …
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 …
Modeling, Synthesis, And Experimental Characterization Of Rhenium Disulfide For Optoelectronic Devices, Solomon Opeyami Ojo
Modeling, Synthesis, And Experimental Characterization Of Rhenium Disulfide For Optoelectronic Devices, Solomon Opeyami Ojo
Graduate Theses and Dissertations
Two-dimensional (2D) transition metal dichalcogenides (TMDs) have garnered considerable interest for their potential in optoelectronics and photonics owing to their remarkable combination of electronic, optical, and mechanical properties. These characteristics distinguish them from other 2D materials, including graphene, making them particularly valuable for next-generation technologies. This dissertation focuses on ReS₂, a 2D TMD with a unique anisotropic 1T distorted crystal structure. The research aims to elucidate its fundamental properties through a combination of theoretical modeling, material synthesis, and experimental characterization techniques, with the goal of optimizing ReS₂ for device applications. A theoretical investigation utilizing Density Functional Theory …
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 …
Two-Photon Imaging For Characterizing Tumor Microenvironmental Changes In Non-Small Cell Lung Cancer Associated With Metastatic Recurrence, Paola Monterroso Diaz
Two-Photon Imaging For Characterizing Tumor Microenvironmental Changes In Non-Small Cell Lung Cancer Associated With Metastatic Recurrence, Paola Monterroso Diaz
Graduate Theses and Dissertations
Lung cancer remains the leading cause of cancer deaths, comprising nearly 25% of all cancer deaths (Sung et al., 2021a). The five-year survival rate of patients with non-small cell lung carcinoma (NSCLC) remains significantly low given that over half present with locally advanced or metastatic disease at time of diagnosis, and experience tumor recurrence following therapeutic intervention (Tamura et al., 2015; Uramoto & Tanaka, 2014). Current evaluation techniques to assess treatment response are lacking, given they are implemented several weeks after treatment completion and are solely based on anatomical changes in tumor size, forgoing other criteria such as functional or …
Causal Discovery In Time Series Data Using Deep Learning Techniques, Saima Zahin Farhana Absar
Causal Discovery In Time Series Data Using Deep Learning Techniques, Saima Zahin Farhana Absar
Graduate Theses and Dissertations
Causal structure learning from observational data has been an active field of research over the past decades. In the literature, different algorithms and models have been proposed, such as constrained-based methods and score-based methods including the emerging deep learning-based methods. However, most of the approaches apply to static and non-dynamic data only. In many applications, the data is temporal. For example, monitoring systems, weather surveillance systems, and stock data, to name but a few. Incorporating temporal information is an important extension of the causal discovery field. With the growth of observational data these days, the discovery of causal relationships from …
Carbon Dioxide Dynamics In The Carbonate Critical Zone, Savoy Experimental Watershed, Arkansas, Usa, Michael Darvin Jones
Carbon Dioxide Dynamics In The Carbonate Critical Zone, Savoy Experimental Watershed, Arkansas, Usa, Michael Darvin Jones
Graduate Theses and Dissertations
The dynamics of carbon dioxide (CO2) within the Earth’s critical zone (CZ) are essential for driving spatial and temporal variations of carbonate dissolution and precipitation, which are fundamental to subsurface porosity and permeability development. However, there is still a significant knowledge gap regarding the patterns of CO2 transport and production within the carbonate critical zone (CCZ). In this study, we investigated these dynamics within a mantled karst terrain at the Savoy Experimental Watershed (SEW) in Northwest Arkansas.
Previous monitoring of partial pressure of CO2 (PCO2) and dissolution rates at karst springs in …
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), …
The Footnotes: A Love Practice, Larissa Cheryl Ramey
The Footnotes: A Love Practice, Larissa Cheryl Ramey
Graduate Theses and Dissertations
the footnotes: a love practice delves into the intersection of archival methods, fashion, black style and aesthetic, communal thinking, and transformative experiences to unveil a unique narrative of historical significance and contemporary relevance. Through an interdisciplinary approach, my research explores how Black culture, fashion, and style are deeply intertwined and influence our communities' cultural and social evolution, specifically examining the role of transportation and clothing, as systems or conduits for style diffusion and expression becoming their own unique modes of transporting. I investigate a wide array of archival resources, including vintage fashion magazines, photographs, books and both individual and communal …
An Investigation Of The Effect Of Performance Engineered Mixture (Pem) Design On Durability And Air Void Matrix Of Concrete Pavements, Jacob Ortlieb
An Investigation Of The Effect Of Performance Engineered Mixture (Pem) Design On Durability And Air Void Matrix Of Concrete Pavements, Jacob Ortlieb
Graduate Theses and Dissertations
Performance Engineered Mixture (PEM) design is a novel method of creating concrete pavement that is economical achieving desirable performance properties such as durability, strength, and workability. Performance-based design is critical for concrete pavements, so the fresh concrete can be placed without issue and the hardened concrete can withstand deterioration and environmental damage such as freezing and thawing. To achieve economical concrete, PEM utilizes tools such as the tarantula curve for aggregate grading, and the Super Air Meter (SAM) test, providing information regarding the air void matrix while the concrete is fresh. To achieve these properties with less cement will lead …
Self-Reflections: A Journey Of Practice In Art Education, Lucienne R. Cape
Self-Reflections: A Journey Of Practice In Art Education, Lucienne R. Cape
Graduate Theses and Dissertations
Abstract This self-study explores the convergence of Culturally Sustaining Teaching within the realm of art education, focusing on the author’s journey as a white, middle-aged, cisgender, southern American woman teaching art in a parochial school environment. The study investigates the dynamics between cultural responsiveness and the acknowledgement of material agency in art classrooms. By integrating principles of culturally sustaining teaching into the art curriculum, the author aims to honor students’ cultural backgrounds while fostering critical consciousness and earthly sustainability awareness. The research questions delve into the connections between culturally sustaining teaching and how the author’s personal identity impacts choice in …
Diseases Of Cannabis Sativa And The Epidemiology And Molecular Diversity Of Neofusicoccum Parvum, Hannah V. Zima
Diseases Of Cannabis Sativa And The Epidemiology And Molecular Diversity Of Neofusicoccum Parvum, Hannah V. Zima
Graduate Theses and Dissertations
Cannabis sativa has been an underutilized agricultural resource in the United States, largely due to federal regulations distinguishing marijuana from hemp. In 2018, Congress passed a Farm Bill, which defined hemp as C. sativa containing a tetrahydrocannabinol (THC) level of no more than 0.3%. As a result, commercial hemp production began in most states in 2019, including Arkansas, and was accompanied by numerous challenges like diseases and pests. The research on the epidemiology of diseases affecting C. sativa is limited, and understanding the pathogens is in its early stages in the U.S. For this study, an initial disease survey was …
Ecopedagogy In Action: The Landfill Project, Marriah Geels
Ecopedagogy In Action: The Landfill Project, Marriah Geels
Graduate Theses and Dissertations
This is an art education action research project that analyzes how an interdisciplinary ecopedagogical curriculum experience may impact student perspectives on waste (specifically trash) and the human impact on the environment. The four-week curriculum incorporated choice-based art education, place-based education, and slow pedagogy to better understand how students’ perspectives changed or remained constant throughout. This curriculum was taught to four class periods in a high school setting with about 34 students in 9-12th grade. Qualitative data collection included a pre and post-survey, visual journals, classroom observations, artist statements, and artwork. Through the analysis of Pre/Post Surveys by utilizing hybrid coding …
The Potential Of Trash: Re-Claiming Creative Authority, Jana Whatley
The Potential Of Trash: Re-Claiming Creative Authority, Jana Whatley
Graduate Theses and Dissertations
This project-based thesis catalogs the planning, building, and engagement with community resource libraries that made second-hand art materials available to the community for free. The micro-libraries hold materials that individuals, organizations, and companies have donated. Materials include single-use plastics, off-cast materials from commercial production, and second-hand or leftover art materials. Four material libraries for creative reuse are in four art education institutions in the greater Northwest Arkansas region. The project sews seeds of mutually supportive systems within regional public art institutions and promotes the creative reuse of materials often tossed into local landfills. As a teaching artist, I have long …
Impact Of Equipment Type On Measured Particle Size Of Civil Engineering Materials, Tanner Turben
Impact Of Equipment Type On Measured Particle Size Of Civil Engineering Materials, Tanner Turben
Graduate Theses and Dissertations
Particle size analysis (PSA) captures the size distribution of fine-grained or emulsified materials with particles generally smaller than 1000 microns. Asphalt emulsions and many other civil engineering materials do not leverage PSA for material specifications or acceptance despite the insight into material performance and quality gained through understanding the particle size. The objectives of this study are to compare PSA measurement principles by testing 13 civil engineering materials by laser diffraction, Coulter counter, and microscopy and to develop a draft standard procedure for asphalt emulsion PSA. Asphalt emulsions, cementitious materials, sands, clays, and biological samples were selected to represent a …
Fungal Pathogen Control And Microbial Ecology: Insights From Soybean Seed Production, Samantha Rigo Segalin
Fungal Pathogen Control And Microbial Ecology: Insights From Soybean Seed Production, Samantha Rigo Segalin
Graduate Theses and Dissertations
This study evaluated the effects of planting date (PD), seed vigor, and chemical seed treatments on the plant stand and yield of two soybean cultivars with different maturity groups (MGs) across four locations in Arkansas from 2018 to 2021. Early planting in early May (early PD) led to higher plant stands and yields compared to late planting in early June (late PD). The interaction between planting date and cultivar was significant, with both cultivars showing higher plant stands on early planting dates. Seed vigor and seed treatment also significantly impacted plant populations; high-vigor seeds planted early resulted in better stands …
Letters To Whiteness: Reflections On A White Artist-Educator Identity Through Dialectical Materialism, Richard Peterson
Letters To Whiteness: Reflections On A White Artist-Educator Identity Through Dialectical Materialism, Richard Peterson
Graduate Theses and Dissertations
In this thesis, I reflect on my identity and experience as a white male and an artisteducator through a lens of critical whiteness and dialectical materialism. I utilize creative writing, and storytelling to speak more metaphorically about my own experiences and feelings in relation to whiteness to understand how I now operate as an artist-educator. Through dialectical materialism, I break down the social change described within the stories of growing up in the United States and intergenerational relationships with other white male figures, displaying more intricate ways I understand how similarities and differences change over time within the white identity …
Reflecting On Being Good Enough: Tracing A Journey Of Identifications And Unraveling Denial Of The Queer Self, Lucero Aguirre
Reflecting On Being Good Enough: Tracing A Journey Of Identifications And Unraveling Denial Of The Queer Self, Lucero Aguirre
Graduate Theses and Dissertations
“Good Enough” is a thesis written to unpack reflection on assimilatory forces during early life experiences in education. By documenting self-reflections, utilizing arts-based research methods, and examining theory relative to theories of identity formation, I use a screenplay in the format of a fictional talk show where three golden retrievers are interviewed from notable Disney films Homeward Bound: The Incredible Journey (Dunham, 1993), Air Bud (Smith, 1997), and UP (Docter, 2009). I connect the golden retriever as a symbol representing aspects of the American dream, an influence shaping my identity and merit-focused alliance with dominant identities. The fictional plot of …
Real-Time Barge Detection Using Traffic Cameras And Deep Learning On Inland Waterways, Geoffery Eyram Agorku
Real-Time Barge Detection Using Traffic Cameras And Deep Learning On Inland Waterways, Geoffery Eyram Agorku
Graduate Theses and Dissertations
Inland waterways are critical for freight movement, but limited means exist for monitoring their performance and usage by freight-carrying vessels, e.g., barges. While methods to track vessels, e.g., tug and tow boats, are publicly available through Automatic Identification Systems (AIS), ways to track freight tonnages and commodity flows carried on barges along these critical marine highways are non-existent, especially in real-time settings. This paper develops a method to detect barge traffic on inland waterways using existing traffic cameras with opportune viewing angles. Deep learning models, specifically, You Only Look Once (YOLO), Single Shot MultiBox Detector (SSD), and EfficientDet are employed. …