Digital Commons Network^™

An Examination Of Depressive Symptoms Of African Americans As A Part Of A Complex System, Jenna Kilgore

Theses and Dissertations

Symptoms associated with Major Depressive Disorder (MDD) have become a source of distress and disability throughout the world, and MDD is among the most common disorders diagnosed annually in the United States. Despite this growing epidemic, scientists and practitioners continue to conceptualize MDD using a common-cause model, which suggests MDD is a result of a latent depression entity that gives rise to symptoms. This is particularly problematic in African American populations where some symptoms associated with depression (i.e., irritability and pain or numbness in the body) are different than those listed in the DSM. The current study examined depressive symptoms …

The Impact Of Stimulus Set Size On Efficiency Of Sight Words Training, Junchen Guo

Theses and Dissertations

Reading skills are widely recognized as fundamental abilities, crucial not only for academic success but also for participation in social activities and navigating interpersonal challenges. In the early formation of reading abilities, mastery of sight words is instrumental in effectively enhancing reading proficiency, particularly for individuals lacking foundational reading skills. In educational practice, flashcard intervention stands as a widely utilized instructional approach. When Kodak et al. (2020) first introduced the concept of stimulus set size and its impact on the efficiency of skill acquisition interventions, they examined differences in training efficiency among children with autism spectrum disorder (ASD) when exposed …

An Updated Secondary Education Program Strengthening Literacy Instructional Capacity Through Targeted Coursework And Teacher Residency, Kaleb Andrew Smith

Theses and Dissertations

Assessment data continues to show middle and high school students struggling with literacy. As literacy is intricate to every course at the secondary level, students who struggle with reading and writing struggle across the curriculum. While this glaring issue persists, many teachers take few courses to train them to implement the instructional strategies needed to help students overcome deficits and succeed in the disciplinary coursework of secondary school. The goals of the project were to decide which content should be included in a required program of study for secondary education pre-service teachers to increase capacity and improve classroom readiness and …

Source Contributions To Nekton Diet In An Oligohaline Ecosystem, Keith Antoine Chenier

Theses and Dissertations

West Back Bay in Biloxi, Mississippi is an oligohaline estuary. Salt-tolerant submerged aquatic vegetation (SAV) and saltmarsh grasses are found ubiquitously throughout this estuary with Vallisneria americana and Juncus roemerianus being the dominant SAV and saltmarsh vegetation. No studies have directly evaluated the role of these vegetation species in the food web. Carbon and sulfur stable isotope analyses were used to identify primary source contributions to fishes Menidia beryllina, Fundulus grandis, and Lepomis macrochirus. Isotopic niche overlap was compared between fishes and basal carbon sources bimonthly from May 2021 through May 2022. Fishes had greater than 50% isotopic niche overlap …

Evaluating The Effects Of Incremental Rehearsal At Increasing Drivers Permit Exam Material Knowledge For Individuals With Asd, Madison Billingsley

Theses and Dissertations

Learning to drive represents a rite of passage for many adolescents and young adults, which increases their access to vocational, education, and social opportunities (Almberg et al., 2015; Cox et al., 2012; Lindsay, 2016). When examining licensure rates for individuals with developmental disabilities and/or Autism Spectrum Disorder, research demonstrates lower licensure rates and more difficulties obtaining licensure (Almberg et al., 2015; Cox et al., 2012). Most research focusses on teaching on the road or simulation based driving skills to increase licensure rates, however little research addresses the barriers these individuals face obtaining their drivers permit (Huang et al., 2012; Pandolfe, …

Application Of Existing Statistical Models To Thermal Inactivation Of Escherichia Coli In A Lab-Based Circulating Water Bath And Investigation Of A Salmonella Challenge Model In A 42-Day Broiler Grow-Out In An Updated Facility, Michael Carroll

Theses and Dissertations

The Food Safety Modernization Act has enforced the importance of research in preventative and control measures for known hazards. Experiment 1 applies existing statistical models, Linear and Weibull, to Escherichia coli thermal inactivation in broiler mash feed in a lab-based circulating water bath to simulate conditioning. Linear and Weibull models were determined to be suitable for modeling the thermal inactivation of E. coli in broiler feed. In Experiment 2, a Salmonella challenge model for broilers raised in floor pens in the updated Animal Biosafety Level-2 facility was evaluated over a 42-day grow-out period. Broiler performance and recovery of Salmonella from …

The Impact Of Eye-Tracking Features On Hazard Identification Skill Assessment: An Approach Based On Machine Learning And Virtual Reality, Mohammad Nafe Assafi

Theses and Dissertations

Identifying construction hazards is a safety priority. Eye-tracking features have been used in prevalent research to assess hazard identification skills. However, confusion exists over their effectiveness due to certain features being more common. To address this gap, a machine learning-based approach is suggested to identify the most effective eye-tracking features for assessing hazard identification skills, thereby improving workplace safety. Four hazard types and eleven eye-tracking features were identified; accordingly, eighteen strategies were developed using these features. Support vector machines (SVM) and artificial neural networks (ANN) models were developed to assess these strategies. Virtual reality was used for the data collection. …

Detection And Analysis Of Low-Rate Attacks Using Network Traffic Analysis, Nagasai Deepak Matta

Theses and Dissertations

In this study, I used a dataset that contains low-rate and SYN flood traffic which was generated by a test bed to simulate a Slow DoS attack, stressing a local server by initiating several HTTP POST connections and causing the request payloads to be transmitted slowly. The attack causes problems including interrupted access and noticeably decreased network performance by sending a large number of little packets slowly, which keeps connections open and overloads server resources. I filtered traffic using Wireshark based on factors including tiny payloads, a lot of SYN packets without ACKs, high initial RTTs, small window sizes, and …

A Geant4 Based Simulation Toolkit For Detector Response Evaluations In Operational Health Physics And Nuclear Safety Applications, Ronald James Unz

Theses and Dissertations

This work describes the development of a Monte Carlo simulation toolkit built on the Geant4 framework for applied health physics applications. The toolkit is designed to construct complex radiation fields and measure how radiation detectors respond to those fields, specifically radiation fields expected to be encountered in environmental and safety applications. The toolkit, along with its development and validation, is described. The use of the toolkit for performing minimum detectable concentration evaluations is outlined, following methods described in the Multi-Agency Radiation Survey and Site Investigation Manual (MARSSIM) and Nuclear Regulatory Guidance Manual 1507, which detail Minimum Detectable Concentrations for Typical …

Effects Of Cascading Optical Processes On Quantification Of Sample Scattering Extinction, Intensity, And Depolarization, Samadhi Nisansala Nawalage

Theses and Dissertations

Complex samples containing nanoscale or larger materials exhibit light scattering, a universal property of matter. However, the influence of scattering-induced cascading optical processes on quantifying sample scattering intensity and depolarization has not been thoroughly evaluated. This study uses polystyrene nanoparticles (PSNPs) as a model analyte for systematic experimental and computational investigation. It aims to elucidate the effects of cascading optical processes on scattering cross-section, molar coefficients, depolarization, and intensities. A theoretical model is introduced to show how the Beer-Lambert law is complicated by forward-scattered light interference in UV-Vis measurements. The dependence of scattering intensity on concentration and particle size is …

Adverse Childhood Experiences, Behavioral Problems, And The Role Of Positive Childhood Experiences, Scout Savoy

Theses and Dissertations

Adverse Childhood Experiences (ACEs) are traumatic events that individuals experience in childhood that have been linked to problems with physical and mental health in adulthood (Felitti et al., 1998). Previous research suggests that ACEs are prevalent in almost two-thirds of youth regardless of location across the world and that when an individual experiences three or more ACEs, their quality-adjusted life expectancy is found to decrease (Carlson et al., 2019; Jia & Lubetkin, 2020). Although ACEs have been associated with negative outcomes, not all individuals who experience trauma exhibit problematic behavior and are considered to have high levels of resilience (Agaiba …

Pretty Good State Transfer And Fractional Revival In Double Extended Star Graphs, Kellon G. Sandall

Theses and Dissertations

Much research has been done in the realm of quantum walks over networks of qubits. We primarily study a type of graph consisting of a path with two stars connected to the leaves which we call a Double Extended Star. We find that Pretty Good State Transfer can occur in many ways in a Double Extended Star and that Fractional Revival cannot occur in Double Extended Stars except when the length of the path within is one.

Exploring Co-Manipulation Via A New Decomposition Of Interaction Force And An Exploration Of Signal Space In Multi-Agent Motion Primitives, Kody Blaine Shaw

Theses and Dissertations

Co-manipulation is when two or more people work together to move an object. In this work, we consider the physical co-manipulation of objects that are large and heavy enough that they are more easily handled by two or more participants. We currently lack a fundamental understanding of how people perform such tasks together, both the basic signals they use to communicate and how those signals are mapped to actions and behaviors. This work builds upon the existing body of knowledge to improve our understanding of physical co-manipulation. Specifically, interaction forces are often considered a key method for information transfer in …

An Examination Of The Factors That Affect The Recruitment And Retention Of African American Male Teachers In Public Schools, Brandon M. Moore

Theses and Dissertations

The purpose of this qualitative explanatory case study is to explain the underrepresentation of African American male teachers in public school education in the state of Arkansas through the lens of the teacher diversity gap and organizational commitment. Participants included 10 African American male teachers who taught in grades K-12 in public schools. The primary source of data collection was completed through the use of semi structured interviews via Zoom. Findings indicated that school districts, educational agencies and the local government should collectively increase their efforts to successfully recruit African American males to the teaching profession. Specifically, the findings suggested …

Tribology Of Mos2 Thin Films Stabilized By A Chromium Underlayer And Max Phase, Nihal Ahmed

Theses and Dissertations

MoS2 is a popular solid lubricant with limited application at room temperature due to its’ sensitivity to atmospheric oxygen and humidity. This thesis focuses on the stabilization of molybdenum disulfide (MoS2) coatings on aluminum substrates to enhance their tribological performance at room temperature. MoS2 exhibits exceptional lubricating properties in vacuum conditions, but its reactivity with atmospheric oxygen leads to the formation of abrasive molybdenum trioxide (MoO3), restricting its effectiveness in ambient environments. This thesis investigates the effects of a Chromium underlayer and the incorporation of MAX phase (Ti3SiC2) on the tribological performance and chemical stability of MoS2 solid lubricant. Physical …

Extreme Ultraviolet And Xray Applications Of Carbon Nanotube Devices, Scott Olsen

Theses and Dissertations

The vacuum ultraviolet (VUV), extreme ultraviolet (EUV) and xray ranges of the electromagnetic spectrum have many unique properties and applications, such as medical treatment, photolithography, and astronomical observation. However, these applications require unique optical element designs, setups, and materials. carbon nanotubes (CNTs) are a fascinating material with thermal, mechanical, and chemical properties that may be beneficial for VUV, EUV, and xray applications. They are conductive, can be patterned into high aspect ratio structures, and are stable in high temperature vacuum. In this work, we report several carbon nanotube devices developed for the VUV, EUV, and xray range. These devices include …

Geological And Geophysical Model Of The Sand Wash Extensional Decollement, Utah, Brigham Louis Cardon

Theses and Dissertations

The Sand Wash Fault Zone (SWFZ) in the southern Uinta Basin is a significant extensional fault zone exhibiting complex deformation patterns. Our study integrates detailed structural analyses with a broader tectonic model to elucidate the tectonic evolution of the region. The SWFZ, extending over 34 km with a NW-SE strike, is underlain by an extensional decollement. Substantial deformation is observed in the upper layers, notably within the S2 sandstone of the Eocene Green River Formation. The deformation diminishes with depth, terminating at the oil-rich Mahogany oil shale zone, below which minimal deformation is observed. Our tectonic model, developed primarily through …

A Social Ecology Model For Social Determinants Of Health As Psychosis Risk Factors, Katie Beck-Felts

Theses and Dissertations

Social determinants of health (SDOHs) significantly impact psychosis risk beyond heritability. However, there is a need for an organizing framework to observe how these diverse elements concurrently predict psychosis risk. This study examines SDOHs as psychosis risk factors using a four-level model, aligned with Bronfenbrenner's social ecology theory. The study aims to assess the proposed model’s ability to predict psychosis risk. Specifically, it is hypothesized that each socioecological level of the model would predict psychosis risk with more proximal SDOHs (e.g., individual level vs community) exhibiting stronger predictive power, aligning with Social Ecology theory. College students (N = 210) completed …

Engineering Cell-Free Protein Synthesis Biosensors For Point Of Care Use, Tyler Jordan Free

Theses and Dissertations

Diagnostic tests can dramatically improve and save lives. Survival rates and patient outcomes related to cancer and other diseases can be improved when routine testing guides personalized treatment. Highly accurate laboratory tests exist for thousands of biomarkers, including those of interest in this dissertation, but cost and complexity limit access to life-saving lab tests in many cases throughout the world. To fill this need and increase accessibility of diagnostics, in this report we report our engineering advancements towards portable biosensors for colorimetric detection of glutamine, endocrine disrupting compounds (EDC), and pathogenic RNA which are key biomarkers in cancer treatment monitoring, …

Systematic Review Of Digital Activity Schedule Use In Individuals With Autism And Intellectual Disability, Adelaide Wahlquist Hammond

Theses and Dissertations

The purpose of this systematic review of using digital activity schedules as an intervention in individuals with autism spectrum disorder and intellectual disabilities is to determine to what extent the current research shows it to be an effective intervention. For articles to be included in this review, they had to use a digitally presented activity schedule, the activity schedule could not be a task analysis of a single activity or a group visual schedule, and the intervention must have been carried out with individuals with autism or intellectual disabilities. Studies meeting the inclusion criteria totaled 17 studies with a total …

Rna Sequencing Reveals Chemotherapy-Induced Changes In Genes Associated With Neurogenesis And Neuronal Function, Bailey Cronin

Theses and Dissertations

Over 310,000 new cases of breast cancer will be diagnosed in 2024, making it the most commonly diagnosed cancer in United States women. Advancements in treatment options such as chemotherapy and radiation have resulted in a 5-year survival rate of 91%. With nearly 4.1 million breast cancer survivors living in the United States today, there is a need for a better understanding of the long-term side effects of these treatments and the impact these may have on the quality of life for these survivors. Reported in up to 78% of cancer patients who received chemotherapy, chemotherapy induced cognitive impairment (CICI), …

Understanding The Mechanisms Of Bio-Effects Of Carbon-Based Nanomaterials In Planta Using “Omics” Approach, Sajedeh Rezaei Cherati

Theses and Dissertations

Carbon-based nanomaterials (CBNs) are recognized as versatile and promising nanomaterials for various applications across multiple fields, including medicine, genetic engineering, plant biology, and agriculture. Notably, carbon nanotubes have been identified as effective in regulating plant growth, reducing plant diseases, and facilitating the targeted delivery of molecules such as DNA and proteins into plant cells and tissues. Despite these advancements, the comprehensive understanding of CBNs' biological impacts, particularly their role in enhancing plant growth and stress tolerance, remains incomplete. Moreover, the use of CBNs in agriculture raises concerns regarding the safety of consuming contaminated plant products and the implications of CBNs …

Using Neural Networks To Reconstruct Temperature From Fluorescent Data For Use In Bio-Microfluidics, Jacob G. Kullberg

Theses and Dissertations

It has been theorized that Quantum Dots (QD) can solve the temperature sensor issue with microfluidic devices. Quantum Dots are nano-sized semiconducting crystals with a radius of an excited electron-hole pair. When a QD is excited by a short wavelength light, the QD produces fluorescent light. As the temperature of the dot changes, the dot expands and shifts the fluorescent spectrum. Quantum Dots are small enough to be placed inside the microfluidic devices, and a spectrometer can measure the change in fluorescent data. This fluorescent data can be used to create fluorescent images corresponding to the QD temperature. These fluorescent …

Real-Time Dynamically Feasible B-Spline Trajectory Generation For Unmanned Aircraft, David Lavae Christensen

Theses and Dissertations

Onboard aircraft systems must frequently plan dynamically feasible paths or trajectories to safely and quickly reach their goal position. Optimized B-splines are promising because they can guarantee kinematic feasibility in a computationally efficient manner and can be applied to a variety of vehicle models. However, current B-spline solutions do not adequately constrain trajectories to the physical limitation of the vehicles they are planning for, or are often too conservative. Most are also limited to path smoothing or require pre-optimized timing parameters. This thesis develops a real-time B-spline optimization-based trajectory generator capable of minimizing time while respecting the velocity, acceleration, and …

Design And Development Of A Clinical Decision Support System For The Diagnosis Of Parkinson’S Disease Using Artificial Intelligence, Saravanan S

Theses and Dissertations

Parkinson’s disease (PD) is a degenerative neurological condition marked by motor symptoms like tremors, bradykinesia, and stiffness. It is observed that early and precise diagnosis of this disease is crucial, as that will have a significant impact on effective disease management and intervention. This thesis explores the technical feasibility of applying AI techniques to recognize patterns from spiral and wave drawings, which are usually a unique signature type for PD patients.

The focus of the work is to diagnose the disease through novel deep transfer learning techniques, to diagnose the severity of the disease, and also to develop effective model …

Cellular Sorting Of The Dictyostelium Discoideum Slug, Erin Flowerday

Theses and Dissertations

Dictyostelium discoideum (Dd) cells are amoeba cells that feed on soil or plant leaf matter bacteria. They divide freely in the presence of food. When starved, cell division is ended, and cells transition from unicellular to multicellular organisms initiated by a chemoattractant, cyclic adenosine monophosphate (cAMP). This study intricately examines cellular sorting within the Dd slug, focusing on individual cell dynamics. Represented as oriented ellipsoids, these cells maintain constant volume through a viscoelastic structure. Applying force to specific semi-axes reveals predictable deformations, highlighting the relationship between force and deformation rate. Manipulating damping coefficients and spring constants uncovers insights into cell …

Investigating Cloth Sculpting For Simulation Control In Virtual Reality, Matthew S. Bishop

Theses and Dissertations

Artists require control and predictability over physically based simulations to create their required animation. This control can lead to reduced iteration time to get the desired simulation results. Controlling cloth simulations can require manual effort to create goal keyframes for control algorithms to match. Current techniques and research utilize a keyboard and mouse to create these goal keyframes. Other research has looked at using a virtual reality (VR) head-mounted display with controllers to improve the experience of completing similar animation tasks. However, we are not aware of any research that attempts to use VR as a tool to assist artists …

Vco Calibration Techniques And Design Of A 0.12-V Ultra-Low Supply Analog-To-Digital Converter, Shea Smith

Theses and Dissertations

Many analog-to-digital converters (ADC) quantize inputs using a voltage-controlled-oscillator (VCO). These VCO-based ADCs leverage time-domain processing to shape quantization noise and mismatch, which further increases their appeal. Despite these advantages, achieving good performance with a VCO-based ADC remains a significant challenge due to the nonlinear transfer characteristics of the voltage-to-frequency (V-F) conversion. VCO-based ADCs widely utilize coarse-fine readout to save power and hardware compared to counter-only converters. However, the timing mismatch due to the clock skew between the coarse and fine quantizers can lead to significant reconstruction errors. Chapter 2 proposes a digital calibration circuit to detect and correct coarse-fine …

Modeling Advancement In Spacefaring Through Deep Learning, Peng-Hung Tsai

Theses and Dissertations

Predicting advancement in space exploration technology allows space agencies and companies to strategically allocate resources, prioritize missions, and explore collaborations on complex projects. This foresight acts as a roadmap for future exploration, making the best use of valuable resources. The present study employs spacecraft lifetimes as an exemplar of technological progress and proposes a novel forecasting model based on Long Short-Term Memory (LSTM) networks. Existing research often suggests an increasing exponential relationship between technology performance and time (the generalized Moore's Law). However, applying this model directly to spacecraft lifetimes has a limitation. Spacecraft lifespans are unknown at launch, and recent …

An Agent-Based Modeling Of Permafrost Melting And Virus Exposure Due To Climate Change, Nishat Ara Mozid

Theses and Dissertations

Climate change has affected human life and natural system significantly. Particularly, there is specific evidence of change in the Arctic region for climate warming. One of the consequences of climate change is the process of permafrost degradation and thawing rate of active layer. Permafrost is defined as frozen grounds that exists at a temperature of or below 0℃ for at least two consecutive years, consists of ice and novel pathogens which are frozen for a long time. Anthrax may cause a serious threat for local environment and livestock due to permafrost melting. The study introduces an agent-based modeling of permafrost …