Digital Commons Network^™

Sex Differences In Active Avoidance And Neural Circuit Mechanisms In Contextual Fear Generalization, Carly Vincent

Theses and Dissertations

The current studies were aimed to investigate two behavioral hallmarks of anxiety and stress-related disorders, avoidance responses and the over-generalization of fear. In the first set of studies, active avoidance and extinction learning, that parallels exposure therapy in preclinical rodent models, were used. It is known that stress can influence aversive learning and extinction training, which can result in poor extinction retention. However, it is not well understood how the stress response is facilitating extinction resistance in active avoidance learning across sexes. Therefore, the first set of studies aimed to investigate the role of biological sex and glucocorticoid receptor (GR) …

Towards Understanding The Relationship Between Hearing Loss And Cognition In Healthy Aging, Samaneh Nemati

Theses and Dissertations

Age-related hearing loss (ARHL) has been increasingly linked to cognitive decline, both directly and through structural brain changes. This study utilized data from the Aging Brain Cohort project at the University of South Carolina (ABC@UofSC) to investigate the relationships between hearing impairments, cognitive performance, and gray matter volume across key brain regions. Specifically, the study aimed to: (i) examine the mediating role of gray matter volume in the relationship between ARHL and cognitive impairments; (ii) investigate the role of regional brain age gap in mediating the relationship between ARHL and cognitive decline; and (iii) delineate the distinctive impact of ARHL …

Design And Application Of Redox-Mediated Flow Electrode Electrodialysis For Ion Removal And Recovery, Rongxuan Xie

Theses and Dissertations

To meet the growing demand for freshwater driven by population growth and rising living standards, the first desalination plants were established in the late 1950s. As energy costs have risen over time, research has increasingly focused on reducing the overall cost of water treatment. Electrodialysis (ED), which facilitates the migration of anions and cations across ion exchange membranes under the influence of an electric field, has gained significant attention as a treatment method for saline water and brine due to its simplicity, low cost, and scalability. However, its traditional batch operation mode and the potential for generating flammable gases have …

Autonomous Real-Time Model Updating Within Digital Twin Frameworks For Thermal Systems, Braden Robert Priddy

Theses and Dissertations

As engineering systems increase in scale and complexity in the era of the Fourth Industrial Revolution, data-driven solutions will become essential in enabling the next generation of these systems. One of the trending tools that can aid in this transition is digital twins. As physical systems degrade throughout their life cycles, their behavior also changes. Digital twins use data assimilation to continuously update virtual models to represent the current state of their physical counterparts. A reliable digital twin can be leveraged by a system operator to perform diagnostics, optimize, and tests without ever needing the physical system. However, implementing effective …

A Process Planning Software For Modeling Parameter Behavior In Automated Fiber Placement, Benjamin Jeffrey Francis

Theses and Dissertations

The manufacturing of large-scale, geometrically complex composite structures is often accomplished today using the Automated Fiber Placement (AFP) process. AFP utilizes a fiber placement end effector and a gantry or robotic kinematic system to lay up groups of composite tows, iteratively building the complete structure. The reduced width of each tow allows the deployment of AFP for builds with significant curvature, unlike other automated methods such as automated tape laying. Despite its proven track record and widespread use, the current AFP process contains inefficiencies and suffers from workflow bottlenecks that significantly increase cycle time, material wastage, and overall cost. A …

Advancement Of The Zinc Ion Battery: Polymer Electrolyte And Electrode Development For Aqueous Zinc-Ion Batteries, Roya Rajabi

Theses and Dissertations

Rechargeable aqueous zinc-ion batteries (ZIBs) have garnered significant attention in recent years as a promising candidate for stationary large-scale energy storage due to their distinct safety features and cost-effectiveness compared to conventional lithium-ion batteries. Despite their great potential, ZIBs are currently facing critical challenges for commercialization, including poor cycle stability at low discharge rates, lower energy density (Wh/kg) and higher self-discharge rate. These issues must be addressed for them to become a viable energy storage solution. The above challenges are fundamentally rooted in the bulk properties of electrolytes and interactions with electrodes, such as; 1) formation of insulating layered double …

Augmented Reality (Ar) And Virtual Reality (Vr)-Based Data Visualization Frameworks For The Manufacturing Industry, Nitol Saha

Theses and Dissertations

Industry 4.0 is transforming the manufacturing industry by integrating digital technologies throughout the production lifecycle, leading to the development of smart factories. The integration of Augmented Reality (AR) and Virtual Reality (VR) alongside smart manufacturing is transforming traditional industry practices by establishing a robust cyber-physical infrastructure, enhanced data visualization, and improved task execution. This thesis aims to develop AR and VR-based data visualization frameworks for the manufacturing industry, focusing on detailed implementation strategies, initial results, and key findings of these frameworks. One major focus of these frameworks is the generalization of the technological assets so that these frameworks can be …

Augmented Reality Based Maintenance Operations And Training, Victor Scott Gadow

Theses and Dissertations

Augmented Reality (AR) is the process of superimposing virtual information on top of objects or other structures in the real-world environment. It is considered one of many paradigms included in the idea of smart manufacturing and can enable a mixture of the other technologies involved. A large increase in research on AR has been seen in the past decade as technologies have begun to evolve to become more robust and reliable. It has been implemented into several key areas of manufacturing such as maintenance, assembly, training, and quality control. The rise of industry 4.0 is changing how data is used …

Characterizing Mechanical Behaviors Of Railroad Ballast Based On Large-Scale Triaxial Tests, Shihao Huang

Theses and Dissertations

Ballast, typically composed of large unbound aggregates with uniform gradation, is essential for the structural integrity of railroad tracks, facilitating load transfer, drainage, and ensuring stability and resilience. The mechanical behaviors of ballast, including shear resistance, resilient modulus, and permanent deformation, are critical for effective railroad design and maintenance, directly impacting track geometry. Degradation of these mechanical properties can lead to significant track-related issues, such as excessive settlement and train derailments, resulting in substantial property damage, injuries, and fatalities. This dissertation aims to characterize mechanical behaviors of railroad ballast from perspectives of aggregate interaction, cyclic loading pulses and climatic conditions, …

Data-Driven Discovery Of Extreme Thermal Materials By High-Throughput Computation And Machine Learning, Joshua Ojih

Theses and Dissertations

The quest for materials with extraordinary properties has been a longstanding endeavor in material science and engineering, driving future technological advancement. However, the discovery of such materials is non-trivial. Recent advancements in computational methods, particularly the integration of machine learning (ML) techniques with density functional theory (DFT), have opened new avenues for accelerating the discovery of materials with exceptional and extreme properties. This dissertation focuses on developing a synergistic approach and workflow combining ML and DFT to identify materials with properties that are pushed beyond current limits, using lattice thermal conductivity (LTC) as a case study of the workflow.

We …

Development Of Avalanche Photo Detector For Uv-C Using Gallium Oxide Material System, Md Ghulam Ghulam Zakir

Theses and Dissertations

This work describes the metal-organic chemical vapor deposition (MOCVD) optimization process for epitaxially grown gallium oxide (Ga2O3) layers, electrical field distribution, and the design for Avalanche Photo Detector (APD). MOCVD is a well-accepted process in the semiconductor industry, as it is well-known for its precise deposition of ultra-thin, high-quality semiconductor layers with extraordinary control over composition and thickness. The choice of Ga2O3 is due to r its distinctive properties of ultra-wide bandgap and low turn-on resistance. Thus, Ga₂O₃-based materials can withstand high voltage and current with the least energy loss, making them an attractive choice for …

Effect Of Storage Time And Temperature On Aggregation Of Alzheimer's Disease Amyloid-Β Protein, Amy Veihdeffer

Theses and Dissertations

Amyloid-β protein (Aβ) is widely studied due to its key role in Alzheimer’s disease (AD) pathology. One characteristic of patients suffering from AD is the deposition of amyloid plaques comprised of Aβ aggregates, which are associated with synapse damage. Thus, studying Aβ aggregation and aggregation inhibition may provide pathological and therapeutic insights. Aggregation of Aβ is a nucleation dependent process that may be influenced by the presence of pre-formed Aβ aggregate seeds that can facilitate formation of protein aggregates. These seeds may appear during preparation or storage of monomer, posing impact on experiments that study the aggregation process and the …

Discovering Therapeutic Strategies In Colorectal Cancer Via Synthetic Lethal Genetic Screens On Patient-Derived Organoid Models, Sana Khalili

Theses and Dissertations

Precision medicine is a revolutionary approach of targeting genetic alterations that are present only in tumor cells to find vulnerabilities that can be targeted with therapy. Identifying genetic dependencies in human colon cancer could help identify effective treatment strategies. Genome-wide CRISPR-Cas9 dropout screens can reveal all genetic dependencies, some of which could be exploited as therapeutic targets using existing drugs.

In this dissertation, I comprehensively characterized genetic dependencies present in a colon cancer organoid avatar, and validated tumor-specific selectivity of select pharmacologic agents. I identified all somatic mutations, all expressed genes, and conducted a genome-wide CRISPR dropout screen to elucidate …

Evaluation Of Settlement In Poorly Graded Sand With Gravel Under Strain-Controlled Cyclic Triaxial And Dynamic Centrifuge Model Testing Conditions, Elise Jones

Theses and Dissertations

This research evaluates the dynamic behavior and volume change of sand with gravel subjected to cyclic loading. Historically, research on the dynamic behavior of cohesionless soils has primarily focused on the study of liquefaction due to its known implications on soil shear strength loss. Gravelly soil is generally assumed to be less susceptible to liquefaction since its large particle size facilitates drainage during cyclic loading. Gravel’s particle size also makes it difficult to test using standard cyclic shearing laboratory equipment. Thus, there is a lack of widespread research and predictive methods for the dynamic behavior of gravelly soil. Determining the …

Factors Affecting The Transition From Pediatric To Adult Care Among Culturally Deaf Young Adults And Young Adults Who Are Deaf Or Hard Of Hearing, Anna Strickland Kell

Theses and Dissertations

Introduction: Adolescence to adulthood is marked by many transitions, including the transition from a pediatric to an adult medical home, also referred to as a health home. For young adults who are culturally Deaf, deaf, or hard of hearing, this transition may be complicated by population-specific needs related to language, literacy, and accessibility. Prior research with transition-age adolescents and young adults who are culturally Deaf, deaf, or hard of hearing has primarily focused on education or hearing health exclusively. The purpose of this research was to investigate the transition of health care from pediatric to adult services among culturally Deaf …

Feasibility Study Of Perovskite Solid Electrolyte For Electrochemical Lithium-Ion Cells, Danyi Sun

Theses and Dissertations

To achieve a high energy density in lithium-ion batteries (LIB), replacing the graphite anode with lithium metal is essential, as it offers a theoretical capacity of 3840 mAh/g.(Q. Wang et al. 2021) However, the use of lithium metal anodes is restricted by the formation of lithium dendrites, which can cause short circuits.(Wood et al. 2016) Solid-state electrolytes present a viable alternative to conventional liquid electrolytes by potentially mitigating dendrite growth. Among these, the perovskite-type Li3/8Sr7/16Ta3/4Zr1/4O3 (LSTH) stands out due to its excellent ambient stability, although its synthesis, properties, and applications remain underexplored.(Y. Li et al. 2018) In this study, I …

From Classical To Contemporary: Popular Music's Role In Shaping Opera And Vocal Training, Craig Allen

Theses and Dissertations

This dissertation advocates for the integration of contemporary popular music into classical voice education, addressing the evolving landscape of the performing arts. As the boundary between classical and popular music fades, incorporating popular elements into traditional opera training equips performers for modern industry demands.

The first chapter offers a historical analysis, tracing opera’s origins from the late 16th century and showing how popular music influenced its development. Composers incorporated folk melodies and dance rhythms into early opera, setting a precedent for blending styles. Contemporary operas, such as Nkeiru Okoye’s Harriet Tubman and Nmon Ford’s House of Orfeus, continue this tradition, …

Hyo-Shin Na's Chamber Works, 'From Korea To America- 120 Years And Beyond' And 'Song Of The Fog': A Stylistic Analysis And Performance Guide, Jiyeon Lee

Theses and Dissertations

This study analyzes two chamber music works by Korean composer Hyo-shin Na, Song of the Fog and From Korea to America, focusing on how the fusion of Eastern and Western instruments contributes to musical expression and timbral characteristics. It includes an examination of the role of instrumental arrangement and reveals the composer's narrative and emotional intentions. The aim is to present an insight into Hyo-shin Na’s ensemble style.

Song of the Fog uses the Japanese koto with Western chamber instruments to depict the imagery of the accompanying poetry through changes in timbre, dynamic contrasts, and various performance techniques. Despite …

Impacts Of Ing4-Deficiency On Hematopoietic Stem And Progenitor Cells & Characterizing The Concerns Of Novice Stem Graduate Teaching Assistant, Georgina Alice Anderson

Theses and Dissertations

The hematopoietic compartment is tasked with the establishment and maintenance of the entire blood program in steady-state and in response to stress. Key to this process are hematopoietic stem cells (HSCs), which possess the unique ability to self-renew and differentiate to replenish blood cells throughout an organism’s lifetime. Recent work has illustrated the vast mechanisms involved in regulating stress-induced hematopoiesis, including cytokine-mediated lineage bias, gene signature changes in aged HSCs associated with chronic inflammation, the impact of clonal hematopoiesis and stress tolerance. Inhibitor of Growth 4 (Ing4) has been identified as a critical regulator of HSC homeostasis. We show that …

Inducing And Interpreting Physical Transformation In Electroacoustic Chamber Music Via Experimental Applications Of Modular Synthesizers, Joseph Samuel Lyons

Theses and Dissertations

One of the most rapidly evolving musical genres of the 21st century is interactive electroacoustic chamber music. This is primarily due to the ongoing developments in creative technology that have increased both the idiom's technical accessibility and its potential for artistic expression. In particular, modern modular synthesizers enable electroacoustic musicians to transform the physical characteristics of sound with an extremely fine level of control. This research project has three major goals. The first goal is to explore the relationship between the many disciplines involved in this genre of music through a review of the scholarship of Aleister Crowley, Edgard Varèse, …

Innovative Strategies For Healthcare Data Integration: Enhancing Etl Efficiency Through Containerization And Parallel Computing, Ehsan Soltanmohammadi

Theses and Dissertations

The healthcare industry is rapidly transforming due to technology adoption, resulting in an explosion of data. Extract, Transform, Load (ETL) processes are crucial for integrating and analyzing this data to support decision-making and enhance patient care. However, ETL processes face significant challenges, including data diversity, quality issues, security and compliance, and scalability. Opportunities exist to optimize ETL processes through advanced technologies like big data analytics, containerization, and parallel computing, improving data quality, and enhancing security. This literature review examines current ETL processes in healthcare, highlighting challenges and opportunities for future improvement, ultimately aiming to enhance healthcare outcomes and patient experiences. …

Information Exchange Through Social Networks Links To Adoption Of Child Feeding Practices In Nepal, Mohammad Masudur Rahman

Theses and Dissertations

While there have been notable decreases in child undernutrition (i.e., stunting) over the past few decades, it remains a major concern in Nepal, with 25% of children under the age of five experiencing chronic undernourishment. There is considerable scope for improving nutrition-related behaviors to address this ongoing issue. In Nepal, knowledge regarding appropriate child feeding practices is often inadequate, and thus additional sources of accurate information are required. Information through multiple sources (i.e., interpersonal communication, mass media, and mobile SMS) provides opportunity to reach households who inadequately practice childcare. Information improves knowledge and information exchange (i.e., receiving or sharing) usually …

Integrating Digital Twin Technology For Real Time Blockage Detection In Water Cooled Electronics, Richard Scott Hainey Jr.

Theses and Dissertations

This paper presents a culmination of research into integrating Digital Twin (DT) technology in water-cooled electronic systems to improve system reliability by detecting faults in the cooling system that maintains the proper operation of heat-producing electronic components and systems. A DT is a virtual representation of a physical twin (PT). This PT can represent real-world systems, individual components, or processes. Using the DT, operators can gain insight into the behavior and characteristics of the PT, thereby facilitating informed decisions to improve its health and optimize processes. The DT system is designed to detect obstructions forming in the waste heat-producing components …

Intention Or Perception? Signaling Theory In The Online World, Mohona Mandal

Theses and Dissertations

Backlash on social media in response to online behaviors is swift and often decisive with significant consequences. One possible reason for this is that online actions are perceived as reflective of a person’s true self. Signaling theory provides support for this argument and suggests that people intentionally display information about themselves to communicate their beliefs to others. While existing work suggests that social media posts are intentional, social media interactions such as likes, comments, and reposts might also function similarly (i.e., as a signal of beliefs). Two studies were conducted to explore whether interacting with online content is perceived as …

Interpretation Of Surface Roughness Of Stainless Steel 316l In Laser Powder Bed Fusion Additive Manufacturing, Tianyu Zhang

Theses and Dissertations

Laser Powder Bed Fusion (L-PBF), a widely used metal additive manufacturing (AM) method, is emerging as a key technology in the modern manufacturing industry. Its applications span across aerospace, transportation, energy, and biomedical industries, aiming to maximize product functionality, quality, and manufacturing efficiency.

Surface roughness, an important measure of product quality, impacts geometrical tolerances and plays a critical role in mechanical and functional properties. Although post-process techniques such as machining, shot peening, and chemical processing can be used to refine surfaces, internal surfaces in complex geometries remain difficult to treat, limiting part performance due to undesired surface features. The …

Investigation And Comparative Analysis Of Onset Of Nucleate Boiling (Onb) In A Narrow Rectangular Channel In Microgravity And Earth Gravity Environments, Fahim Foysal

Theses and Dissertations

Understanding the onset of nucleate boiling (ONB) in different gravitational environments is crucial for a wide variety of industrial and space applications of flow boiling systems for thermal management. This thesis provides a comparative analysis of ONB in both microgravity (µg) and Earth gravity (1g) environments, with the aim of identifying the key differences. NASA’s experimental facility called Flow Boiling and Condensation Experiment (FBCE) equipped with Flow Boiling Module (FBM) was used for both the experiment onboard the International Space Station (ISS) and on Earth. The experiment was conducted in a rectangular channel of 5mm (depth) ×2.5 mm (width) ×114.6 …

Leveraging The Usage Of Blockchain Towards Trust-Dominated Manufacturing Systems, Philip Joseph Samaha

Theses and Dissertations

Smart Manufacturing has elevated manufacturing processes, transitioning from automated systems to autonomous ones. This evolution has heightened the significance of data within manufacturing facilities. The role of data has evolved from solely monitoring processes to both monitoring and extracting insights from these processes, facilitating precise control. In this context, the data infrastructure plays a critical role, encompassing both internal data circulating within the facility—such as information exchanged between controllers and actuators—and external data transmitted to and from outside entities. When the factory's cyber infrastructure is connected to the internet, security concerns escalate significantly, amplifying associated risks. Therefore, the integration of …

Mechanics Based Characterization Of Elastic Metamaterials, Mamdudur Rahman

Theses and Dissertations

In bandgap engineering there is a shortage of systematic design approach which enables one to select design variables to achieve bandgap in desired frequency range. Tools that can address this can open new areas of interest, especially since phononic crystals with low frequency bandgaps have multitude of applications in attenuation of structural vibration. Furthermore, mechanics-based characterization of phononic crystals had not seen much progress in the recent years while a lot of applied research had been conducted on phononic materials with material phase periodicity and other factors taken into consideration. This work aims to propose a systematic characterization approach of …

Multi-Scale Ai-Assisted Gene Expression Decoding, Fengyao Yan

Theses and Dissertations

Genes can be treated as a graph that can be mapped. Tremendous information is coded in genes to ensure a complex functioning organism. Decoding this information is critical to understanding our biology and developing treatments for various diseases including cancer. Deep learning, a new branch of computer science, has gained traction over the past decade. It offers more insight into the data that is processed by the deeplearning models. Our study has shown that deep-learning models can be an effective tool in decoding genetic data such as gene tissue-deconvolution, gene graph mapping and genomic imputation. In tasks such as tissue …

Mitochondrial Function In The Maternal Brain: A New Perspective On Gestational Stress And Pathology Of Postpartum Depression, Erin Rene Gorman-Sandler

Theses and Dissertations

Postpartum depression (PPD) is a major psychiatric complication of childbirth, affecting up to 20% of mothers, yet remains understudied. Mitochondria, dynamic organelles crucial for cell homeostasis and energy production, share links with many of the proposed mechanisms underlying PPD pathology. Brain mitochondrial function is affected by stress, a major risk factor for development of PPD, and is linked to avoidance and social behaviors. Considering the importance of mitochondria in regulating brain function and behavior, we hypothesized that mitochondrial dysfunction is associated with behavioral alterations in a chronic stress-induced rat model of PPD. Chronic mild unpredictable (CMUS) stress during late gestation …