Digital Commons Network^™

Exploring The Relationship Between Broadband And Socioeconomic Health: A Case Study In Appalachia, Kyra Marie Palange

All Theses

This thesis uses county-level Federal Communications Commission (FCC) Form 477 and Appalachian Regional Commission data to examine factors that affect socioeconomic health, with a particular focus on the impact of household broadband adoption, in rural areas of the Appalachian United States. Outcome variables of interest are percentage of people in poverty, per capita market income (i.e., the income one earns from participating in the economy through wages, investments, business income and the like), and number of excess deaths per 100,000 residents. The first chapter uses two multivariate multiple regression models, one using 2008 data and one using 2016 data, to …

In The Pines: Dung Beetle Community Composition In Longleaf Pine Habitat, Kelsea Lynn Young

All Theses

Dung beetle assemblages are recognized as ecological bioindicators, allowing us to monitor ecological impacts by observing community shifts. Acting as primary nutrient cyclers, they establish niche segregation by sometimes selecting dung based on species (e.g. coyote vs. deer) and by using dung in different ways (e.g. rollers vs. tunnelers). Longleaf pine savannahs are recognized as global hotspots for diversity. Species of dung beetles found within these ecosystems may differ substantially from those found in surrounding agricultural, residential or other forest land. Our objective was to investigate whether the exclusion of mammalian meso-predator exclusion impacts dung beetle abundance, species composition and …

Noise Types Adaptation For Speech Enhancement With Recurrent Neural Network, Xiang Lan

All Theses

Speech enhancement is a critical part in automatic speech recognition systems. Recently with the development of deep learning based techniques, those speech enhancement systems trained with neural networks can significantly improve performance. While many of the latest speech enhancement systems show advantages in maximizing the perceptual quality of the noisy signals, they expose drawbacks when the test noisy signals have noise types that never exist during the system training process. The systems have relatively poor performance when handling noisy signals with unseen noise in contrast to noisy signals with seen noise. The dissimilarity between the training and testing circumstances can …

Land Rents And Broadband Subsidies, David Michael Bond

All Theses

Is the value of broadband access capitalized in house prices, and do broadband subsidies transfer wealth to targeted subscribers? First, we sample 4995 recent rural Michigan home sales, with their attributes, to calibrate a hedonic model. Our estimation relates housing values to broadband internet access availability, while limiting endogeneity. A second model estimates federal broadband subsidy’s effect on availability of 25 Mbps (download) service. Results show a premium between 10-15% in home prices for broadband availability (a potential difference of $15,000-$22,500 with median home price of $150,000), while subsidies appear to not have any significant impact.

Practical Target-Based Synchronization Strategies For Immutable Time-Series Data Tables, Bennett Andrew Meares

All Theses

As the Internet of Things and industrial monitoring of utilities grow, efficiently synchronizing immutable time-series data streams between databases becomes a pressing issue. Extracting data from critical production databases demands careful consideration of the stress imposed on the machines, so synchronization strategies are required to minimize the transfer of duplicate data and the load imposed on remote sources.

Literature on the synchronization problem is generalized to arbitrary tables and does not consider the characteristics of time-series data streams, so research was required to investigate methods to quickly synchronize source and target time-series data tables. This thesis examines immutable time-series scenarios …

Laurel Wilt In Sassafras Along The Leading Edge Of Disease Progression In The Carolinas, Katy Crout

All Theses

The laurel wilt disease complex consists of a beetle vector (redbay ambrosia beetle (RAB); Xyleborus glabratus Eichhoff (Coleoptera: Curculionidae: Scolytinae)), a symbiotic fungus and tree pathogen (Raffaelea lauricola (Ophiostomataceae) T.C. Harr., Fraedrich & Aghayeva), and host trees (Lauraceae). RAB originated from Asia and was first discovered in the United States near Savannah, Georgia in 2002. RAB deposits R. lauricola in host trees, including redbay (Persea borbonia) and sassafras (Sassafras albidum), when females tunnel into trees to lay eggs. Xyleborus glabratus attacking sassafras may have far reaching ecosystem impacts due to the expansive range of sassafras in the eastern United States …

Dynamic Reduction Of Scientific Data Through Spatiotemporal Properties, Megan Louise Hickman Fulp

All Theses

Improvements in High-Performance Computing (HPC) has enabled researchers to develop more sophisticated simulations and applications which solve previously intractable problems. While these applications are critical to scientific innovation, they continue to generate even larger quantities of data, which only worsens the existing I/O bottleneck. To resolve this issue, researchers use various forms of data reduction.

Currently, researchers have access to many different types of data reduction. These include methods such as data compression, time-step selection, and data sampling. While each of these are effective methods, data compression algorithms and data sampling methods do not leverage the temporal aspect of the …

Mesopredator Detection And Eastern Spotted Skunk Den Site Selection In North Carolina, Anna Siegfried

All Theses

Small carnivore assemblages have been a topic of interest for many years because of their potential top-down effect on communities. However, mesopredators are a challenge to investigate because of their small sizes and elusive behavior. Advances in technology, such as non-invasive trail cameras and smaller GPS tracking devices, have increased the success in monitoring these communities, and we are learning that some of these species’ populations have drastically declined, are currently declining, or the population status is unknown.

Adding an attractant to remote camera sites has become a popular method to increase detections of mesopredators. However, there is an ongoing …

Fragments Of The Self, Jessica Swank

All Theses

This body of work addresses humanity’s relationship with digital technology from a personal perspective. Through constructed photography and sculptural work, I point to the connections between humans, machines, and nature, emphasizing the blurred lines between each of these entities. By revealing overlaps and associations between them, I seek to reconcile digital connection and emotional connection. I believe reconciliation may come through the acknowledgment of digital technology’s influence, and the subversion of convenience for the sake of quality human connections.

The images within this series reside at the intersection of self-portraiture and documentary. A dialogue is formed between the subjects through …

The Role Of Package Design Typicality On A Hand Sanitizer Purchase, Ami Lee Frierson

All Theses

ABSTRACTCategory visual codes are visible themes that appear across a category, defining what is typical for that category. In package design, these visual codes may include the shape, size, font, color, or material of the packaged products seen on shelves. Generally, research has shown that atypical designs do not stand out to consumers; they go unseen since consumers are only looking for specific characteristics within that category. However, many studies indicate that consumer perception of atypical package design is moderated by several other variables that influence purchase decision. In March 2020, the Food and Drug Administration passed a temporary policy …

An Analysis Of Environmental Conditions Impacting Cyanobacterial Algal Blooms In Drinking Water Sources In Upstate South Carolina, Gregory Langlois

All Theses

Maintaining water quality in reservoirs used for drinking water has been an issue in recent years due to the presence of algal blooms. Algal blooms are a perennially recurring problem that can have negative impacts on tourism, recreation, and overall water quality. Additionally, algal blooms will often produce an assortment of chemicals, some of which are hazardous to the health of humans, and some of which that, while relatively innocuous, result in unpleasant tastes and odors in water. Geosmin and 2-methylisoborneol are two taste and odor compounds that are notoriously difficult to treat out of drinking water sources by traditional …

Evaluating The Feasibility Of Measuring And Analyzing Strain Caused By Changes In Barometric Pressure In The Vadose Zone, Olivia Lynn Costantino

All Theses

Changes in barometric pressure propagate into the subsurface where they can affect water level measurements in wells and cause vertical strain. Previous strain sensors were developed to measure vertical strain, but they were limited to measurements at a single depth, making it difficult to evaluate strains from a migrating pressure wave. Technology known as Coherence-length-gated Microwave Photonics Interferometry (CMPI) uses optical fiber sensors to measure strain at multiple locations. It has the potential to detect strain caused by variations in barometric pressure at multiple depths in the subsurface. The goal of this study is to evaluate the feasibility of using …

Parametric Study Of Orthogonal Pantographic Lattice With Non-Linear Torsional Resistance At Pivots, Mahendra Singh Bisht

All Theses

Pantographic lattices are cellular solids comprised of continuous beam fibers intersecting at periodically spaced pivots. The pivots are simulated in the discrete finite element beam model as torsional springs with varied torsional stiffness across orders of magnitude. An important functional performance feature of pantographic lattices is their ability to undergo large deformation without inducing large stresses at the pivots. There is a need for predictive models of this nonlinear behavior. In this study, parameter studies on the order of magnitude and nonlinear material behavior of the torsional stiffness at the pivots, combined with and without nonlinear geometric beam kinematic behavior …

Effect Of Long And Short Chain Fatty Acids On Methane Yield And Microbial Community Composition In Anaerobic Co-Digestion, Emmaline Spier Camposano

All Theses

Fats, oils and greases are produced from a variety of industries, including animal rendering operations, vegetable oil processing plants and the hospitality industry. These hydrophobic, COD-rich compounds are known to cause issues in municipal wastewater collection and treatment systems. Anaerobic co-digestion has been shown to be an effective way to treat FOG and presents an opportunity to produce greater quantities of biogas. However, many microorganisms are sensitive to the degradation products of FOG, including long and short chain fatty acids. Two studies were performed to address potential inhibitory effects of both.

The first study co-digested various percentages of FOG with …

Cloud Based Collaborative Road Surface Monitoring Using Deep Learning And Smartphones, Akshatha Ramesh

All Theses

Road accidents are one of the major causes of death in the United states of America. Vast majority of everyday deaths in US occur by road accidents. And poorly managed roads are one of the main reasons for it. Safety is the ultimate priority. Safety in this aspect can be ensured only with proper management of roads on a regular basis. Proper maintenance of road conditions can not only ensure safety but also increase rider comfort, fuel economy and provide better driving experience. Traditional methods of surveying is very time consuming, expensive, and require lot of human efforts. Existing methods …

A Computational Evaluation Of Turbulence Generators In Co-Axial Ground Heat Exchangers, Rohit Ashok Rao

All Theses

The heat transfer of ground heat exchangers used in geothermal heating and cooling of buildings partially depends on the velocity, or more specifically the Reynolds number (Re), of the fluid circulating inside the geothermal pipe. Higher Re induces higher heat exchange, which can be achieved with higher fluid velocity. However, the pumping energy necessary to achieve the high fluid velocity is significant. Alternatively, turbulence generators (turbulators) in the form of helical wings inserted inside the pipe can generate and maintain a turbulent flow even at small fluid velocities, thereby inducing higher heat transfer. However, the inclusion of helical turbulators creates …

How “Interested” Criticism Fueled The Formulation Of Nineteen Eighty-Four’S Cultural Afterlife, John Cameron Bosch

All Theses

George Orwell’s Nineteen Eighty-Four carries a “cultural afterlife” as a result of “interested” criticism, which has a set political/practical barometer or motive. While everyone agrees that the novel presents a frightening dystopia, many also consider it a prophetic piece that illuminates the possible corruption of executive power of a nation thanks to this cultural afterlife; the modern and popular term “Orwellian” resulted from these sorts of analyses and have only escalated in the years since its inception. As a result, within the past decade, multiple scholars, analysts, and journalists have referenced Orwell’s novel as a factual representation of this executive …

Application Of Image Processing And Convolutional Neural Networks For Flood Image Classification And Semantic Segmentation, Jaku Rabinder Rakshit Pally

All Theses

Floods are among the most destructive natural hazards that affect millions of people across the world leading to severe loss of life and damage to property, critical infrastructure, and the environment. Deep learning algorithms are exceptionally valuable tools for collecting and analyzing the catastrophic readiness and countless actionable flood data. Convolutional neural networks (CNNs) are one form of deep learning algorithms widely used in computer vision which can be used to study flood images and assign learnable weights and biases to various objects in the image. Here, we leveraged and discussed how connected vision systems can be used to embed …

Glycan Functionalization Of Iron Oxide Nanoparticles (Ionps) As A Method Of Inactivating Antibiotic Resistant Neisseria Gonorrhoeae Via A Magnetically Mediated Energy Delivery (Magmed) System, Cedric Taylor

All Theses

With the increase of antibiotic resistant bacteria, current established therapeutic treatment methods are rapidly demonstrating decreasing efficacy. For this project, we are studying a novel alternate mechanism of treating antibiotic resistant bacteria by utilizing magnetic iron oxide nanoparticles (IONPs) coated with a heterobifunctional polyethylene glycol polymer (PEG) and functionalized with glycan structures that can interact with Neisseria gonorrhoeae FA1090. Interaction between the IONPs and bacteria is manipulated by an external alternating magnetic field (AMF) in a process known as magnetically mediated energy delivery (MagMED). Magnetic IONPs were synthesized and reacted with PEG (PEG-IONPs) and functionalized with glycans Gal(α1-3)Gal(β1-4)Glc(β1-1) (common name: …

Effect Of Metal Ions On Stability Of Ascorbic Acid And Niacin Determined By Hplc, Jhongyan Huang

All Theses

Water-soluble vitamins, such as vitamin C and vitamin B, exist in various food stuffs, including vegetables, fruits, fortified grains, milk, and meat, etc. Those vitamers play essential roles in many biochemical functions in human body, thus are significant components for maintaining human health. However, the stability of vitamers is susceptible to many factors, such as light, temperature, metal ions, levels of oxygen concentration, and moisture contents, etc. As vitamers are prone to further degradation, their bioactivities can be remarkably affected and even lost in food processing and food products.In this study, effect of different metal ions (i.e., Na+, K+, Ca2+, …

Does Naturalness Influence Positive Learning Outcomes During Environmental Education Field Trips?, Lydia Kiewra

All Theses

Environmental education (EE) field trip programs in the United States often take place in outdoor, natural settings. Such natural environments provide ample opportunity for hands-on and immersive learning to occur, which may allow for positive cognitive and moral development in children. However, recent research on the impact of more natural settings on youths’ academic success has produced mixed outcomes, suggesting that the relationship between levels of naturalness and student success is more complex than previously assumed. Utilizing student surveys collected during 283 EE field trip programs and remotely sensed land cover data, this study examines the relationship between levels of …

An Experimental And Computational Study Of 3-Dimensional Compact Windborne Debris Flight, Ta'jon Jordan

All Theses

In this thesis, the stochastic nature of 3-dimensional compact windborne debris flight is investigated experimentally and computationally. Previous literature (Holmes, 2004) analyzed the impact of strong winds on compact debris with applications to windborne debris flight. Baker (2007) derived the 2-dimensional equations of motion into a generalized dimensionless form that reveals the fundamental controlling parameters of compact debris flight. However, these models assume that compact debris is spherical, and the flight is, therefore, 2-dimensional. However most compact debris is not spherical, and its flight is 3-dimensional. Herein a previously developed model for free-falling compact windborne debris flight (Ahsanulllah et al., …

Visualizing Features From Deep Neural Networks Trained On Alzheimer’S Disease And Few-Shot Learning Models For Alzheimer’S Disease, John Reeder

All Theses

Alzheimer’s disease is an incurable neural disease, usually affecting the elderly. The afflicted suffer from cognitive impairments that get dramatically worse at each stage. Previous research on Alzheimer’s disease analysis in terms of classification leveraged statistical models such as support vector machines. However, statistical models such as support vector machines train the from numerical data instead of medical images. Today, convolutional neural networks (CNN) are widely considered as the one which can achieve the state-of-the- art image classification performance. However, due to their black box nature, there can be reluctance amongst medical professionals for their use. On the other hand, …

They Say, We Say: A Standpoint Analysis Of Stay-At-Home Mothers’ Engagement With Public Discourse, Ayesha Tanzila

All Theses

The purpose of this research was to study stay-at-home mothers’ engagement with the prevailing discourse surrounding them. Staying home and engaging in "invisible and unpaid" labor has led this group of mothers to be out of public sight and somewhat voiceless. Thus, public discourse about SAHMs without significant input by SAHMs has resulted in a monolithic and static identity. Using standpoint analysis as the theoretical framework and textual analysis as the methodology, I have analyzed opinion pieces written by SAHMs, published on popular magazine portals, and on their blogs, through which they attempt to navigate this public depiction of themselves. …

Dynamic Mechanical Behaviors Of Nacre-Inspired Graphene-Polymer Nanocomposites Depending On Internal Nanostructures, Cho Chun Chiang

All Theses

Nacre, a natural nanocomposite with a brick-and-mortar structure existing in the inner layer of mollusk shells, has been shown to optimize strength and toughness along the laminae (in-plane) direction. However, such natural materials more often experience impact load in the direction perpendicular to the layers (i.e., out-of-plane direction) from predators. The dynamic responses and deformation mechanisms of layered structures under impact load in the out-of-plane direction have been much less analyzed. The optimal design of protective material systems by leveraging the bioinspired structure has not yet been achieved. The main objective of this thesis is to investigate the dynamic mechanical …

Chasing Target Zero: Contributing Factors Of Fatal Crashes In South Carolina, Matthew Stanley

All Theses

South Carolina consistently ranks in the top-10 in fatal crashes per 100,000 capita and 100 million vehicle miles traveled. This thesis summarizes an analysis of contributing factors for fatal crashes in South Carolina. A primary objective of this thesis is to investigate differences in contributing factors for fatal crashes as compared to all crashes in South Carolina. 2018 South Carolina fatal crashes (N=970) and all crashes (N=152,973) were analyzed and compared using classic Venn diagrams to compare differences in contributing factors between fatal crashes and all crashes. Fatal, non-fatal, and all crashes were aggregated into one of seven possible contributing …

Lossy Compression And Its Application On Large Scale Scientific Datasets, Tasmia Reza

All Theses

High Performance Computing (HPC) applications are always expanding in data size and computational complexity. It is becoming necessary to consider fault tolerance and system recovery to reduce computation and resource cost in HPC systems. The computation of modern large scale HPC applications are facing bottleneck due to computation complexities, increased runtime and large data storage requirements. These issues can not be ignored in current supercomputing era. Data compression is one of the effective ways to address data storage issue. Among data compression, the lossy compression is much more feasible and efficient than the traditional lossless compression due to low I/O …

Investigation On Effects Of Lactate Adaptation Using Metabolic Indicators And Amino Acids To Explore Cell Metabolism, Lisa Uy

All Theses

Biopharmaceutical products are drugs that are made from living cells. One protein type of high importance to biopharmaceuticals is monoclonal antibodies. Monoclonal antibodies allow for highly specific, targeted treatment of diseases and detection of molecules related to diseases. With major roles in detecting and/or treating diseases like human immunodeficiency virus (HIV), coronavirus disease 2019 (COVID-19), and some cancers, monoclonal antibodies are in demand. This demand has led to a need for efficient cell culture systems to produce high yields of protein with minimal waste. The most commonly used cell culture system for these high-value proteins is Chinese hamster ovary (CHO) …

Tradespace Exploration Of A Uav Conceptual Design Using Model-Based Systems Engineering, Ayan Srivastava

All Theses

The objective of this research is to apply model-based systems engineering approaches to the conceptual design of unmanned aerial vehicles. This is accomplished by evaluating the models of aircraft performance, extracting input and output parameters from the models, creating chains of models, and implementing the models in the MATLAB programming language. By following this process, it is possible to identify the global parameters that remain constant across models, the shared input parameters, the dependencies between models, and the feedback loops with the systems models.

The models are currently implemented in two files using Microsoft MS Excel, one is focused on …

Development And Validation Of An Analytical Modeling Tool For Solar Borehole Heat Exchangers, Adam Ornelles

All Theses

Current numerical modeling solutions used for subsurface heat flow, such as the Berkeley TOUGH codes, are often difficult to use and time-consuming compared to analytical modeling methods. However, current analytical modeling methods for subsurface heat flow and groundwater cannot accurately model the subsurface in 3 dimensions, a feature paramount to the planning and installation of thermal borehole heat exchangers used in environmental remediation.

This research developed a novel 3-dimensional analytical modeling tool for solar-powered borehole heat exchangers. The analytical modeling tool can plan thermal remediation systems while being more straightforward to operate than current numerical modeling software. By creating a …