Digital Commons Network^™

Childhood Adversity's Impact On Criminal Behavior, Isobel Marie Avento

Theses and Dissertations

Adverse childhood experiences (ACEs), such as abuse, neglect, and family criminal history, have been identified as potential risk factors for negative physical, psychological, and behavioral health outcomes. Emerging literature suggests that ACEs are also among the primary factors leading to delinquency and adult criminal behavior. However, there is limited applied research that provides practitioners with appropriate insight to intervene when ACEs are identified among juvenile delinquents to reduce recidivism risk. This study adds to the existing literature by examining how cumulative ACEs shape criminal behavior of individuals from the onset until its desistance over the span of twenty years. Using …

Temporal Forecasting Of High-Rate Dynamic Using Physics-Informed Machine Learning And Hardware-Software Co-Design, Puja Chowdhury

Theses and Dissertations

Due to aging, fatigue, corrosion, and even natural disasters; the health of the structure is prone to degradation throughout its service life. The explosively-fast growing efforts on Structural health monitoring (SHM) always try to exploit different aspects of the automation of damage detection, localization, and prognosis tasks. One of the main challenges is the hardware and software co-design to implement the model in real-life situations. On the other hand, the fast-advancing artificial intelligence draws the researchers' attention to adopt different data-driven approaches in this field. This brings other challenges like domain-specific model adaptation, data bias, data scarcity, model validation by …

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) …

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 …

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 …

Comparing Likert And Slider Response Formats In Clinical Assessment, Guyin Zhang

Theses and Dissertations

This study used a within-subjects experimental design to compare various response formats in fitting confirmatory factor analysis (CFA) models. Participants responded to the 8-item Center for Epidemiologic Studies Depression Scale (CES-D) across four different response formats: the Likert-type scale, three types of slider response formats, and a number-entry response format. We conducted the comparison of different response formats based on item-level scores, factor structure and psychometric properties of the scale, mean comparisons across groups, and individuals’ sum scores. Similar results were observed across the different response formats with respect to factor structure, reliability, and validity of test scores. However, inconsistent …

Electroless Deposition And Galvanic Displacement For The Control Of Supported Nanoparticle Size And Composition, Haiying Zhou

Theses and Dissertations

Catalyst performances can be greatly affected by properties such as particle size, composition, geometry, and cleanliness of the active surface. To achieve optimal catalytic performance, appropriate synthesis methods are required to synthesize the desired structures. Supported metal particle catalysts are usually prepared by impregnation and precipitation methods in industry. Although these two methods are simple, they exhibit poor control over surface morphology, leading to a wide particle size distribution and uncontrolled distribution of different metal components. In this dissertation, three topics on controlling surface morphology are discussed.

For structure sensitive reactions, reactivity and selectivity can be strongly affected by particle …

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 …

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, …

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 …

Plankton Dynamics In A Temperate Estuary:Size Structure And Trophic Implications, Nayan Mallick

Theses and Dissertations

Estuarine ecosystems provide goods and services to around 45% of the entire human population. In recent times, these ecosystems have been severely affected by multiple stressors such as pollution, eutrophication, harmful algal blooms, sea level rise, and, most importantly, climate change. Increasing temperature associated with climate change can have pervasive impacts throughout the ecosystem’s functions and processes. Plankton, a conspicuous member of estuarine food web, are among the first to respond to the changes in temperature due to their high sensitivity to changing environmental conditions.

In this dissertation, I investigated the plankton dynamics in an estuarine ecosystem through a combination …

Practicing Strategy And Performance Preparation Of György Ligeti’S Musica Ricercata., Xiyao Wang

Theses and Dissertations

ABSTRACT Hungarian composer György Ligeti (1923–2006) is renowned as one of the most significant composers of the twentieth century. Musicians around the world have admired his innovative musical language. “Through the 1950s and 1960s, he went from composing in the style of his countryman Béla Bartók to working at the cutting edge of the Western European avant-garde.” His folk elements and avant-garde compositional techniques expanded through various genres, including orchestral, chamber, and keyboard compositions. This study's primary purpose is to explore Ligeti's piano work Musica Ricercata and ultimately provide a resource to other musicians that will assist in preparing and …

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 …

Reaction Toward Potential Resurgent Multiple Risks: Understanding Risk Information Seeking And Behavior In The Post-Pandemic Era, Shudan Huang

Theses and Dissertations

This study applies the Risk Information Seeking and Processing (RISP) model to understand how individuals seek and process information related to overlapping pandemics, including COVID-19, flu, monkeypox, and polio. These overlapping health crises have created a complex media environment, contributing to pandemic fatigue, information overload, and varied preventive behaviors. The research explores how pandemic fatigue influences informational behaviors—such as information seeking, processing, and avoidance—and how these behaviors, in turn, predict preventive behavioral intentions.

Using an online survey of 443 participants, structural equation modeling was employed to test the hypotheses. Results indicate that information insufficiency positively predicts both information seeking and …

Real-Time Robot Pose Estimation For Industry 4.0: Enhancing Motion Validation And Monitoring With A Vision-Based Framework, Jad Samaha

Theses and Dissertations

Amidst the era of Industry 4.0, robots became integral to automated production lines by performing complex tasks with high precision and adapting to changing production needs in real-time. Therefore, ensuring their precise and reliable operation is paramount for maintaining high-quality standards and operational efficiency. This invoked the need for an automated motion validation tool that guarantees accurate program task execution, by detecting deviations or anomalies that may indicate mechanical faults or software errors. Given the exponential advancements in AI, particularly in Computer Vision, a vision-based solution is ideal for ensuring the correct positioning of a robot in real-time. Operating independently …

The Effects Of Guided Induction Completed Individually And In Groups On The Development Of Negation In Palestinian Arabic An Analysis Of Accuracy, Processing, And Rule Structure, Hana Baalousha

Theses and Dissertations

The effectiveness of different instructional interventions and the various ways such interventions promote L2 learning and processing has been the topic of recent research in the subfield of Instructed Second Language Acquisition (ISLA). Previous research on the effects of guided inductive instruction (GI) in the second language classroom has left various lacunae to be addressed, such as the effect(s) of linguistic complexity, proficiency level, modality of instruction, and the target language (Ranta, 2022). A plethora of studies in the current literature compares the efficacy of GI to deductive instruction as students work individually in computer-assisted language learning contexts (CALL) revealing …

Using Machine Learning And Deep Learning Algorithms To Improve Low Birthweight Prediction, Yang Ren

Theses and Dissertations

Low birthweight (LBW) is a major public health issue resulting in increased neonatal mortality and long-term health complications. Traditional LBW analysis methods, focusing on incidence rates and risk factors through statistical models, often struggle with complex unseen data, and thus, their effectiveness is limited in early prevention of LBW, requiring more advanced LBW prediction models. Therefore, this dissertation delves into this important research area by proposing and examining novel machine learning (ML) and deep learning (DL) algorithms, aiming to predict LBW more accurately during the early stage of pregnancy. This dissertation consists of three studies, strategically designed to build upon …

"I Don't Want To Be Anywhere Near That Word!": The Experiences Of Jewish College Students Navigating Antisemitism, Sandra Greene

Theses and Dissertations

This comics-based research study was guided by HebCrit (Rubin, 2020) and explored the experiences of eight Jewish college students navigating antisemitism. This study was guided by four research questions including, (1) What are Jewish college students’ experiences with antisemitism?, (2) How do Jewish college students respond to personal experiences with antisemitism?, (3) How do Jewish college students respond to rising rates of antisemitism?, and (4) How does antisemitism intersect with other forms of oppression (e.g., racism, misogyny, etc.) for Jewish college students?

This study was conducted at a predominantly white and Christian university in the Southeastern United States with a …

Assessing The Accuracy, Validity, And Application Of A New Method For Sex Estimation Using Isotopic Ratios Of Fe, Cu, And Zn In Human Bone, Elizabeth Anne Wakefield

Theses and Dissertations

This dissertation evaluates the accuracy, validity, and application of a novel sex determination method based on isotopic variations in copper (Cu) and iron (Fe) within human bone, initially developed by Jaouen et al. (2012). The primary aim of this research was to test the reproducibility of the method, expand the sample to include a broader age range and ethnically diverse groups, and assess its applicability in forensic contexts using contemporary skeletal samples. Bone samples were collected from 60 individuals across two curated skeletal collections: the George S. Huntington Skeletal Collection and the Texas State Forensic Anthropology Donated Skeletal Collection. The …

Bridging The Digital Divide: A Multiple-Case Study Examining The Impact Of Instructional Coaching On Technology Integration Of High School Teachers, Jennifer Elizabeth Nicholson

Theses and Dissertations

This action research study examined the impact of an instructional coaching cycle on four high school teachers’ use of technology in the classroom. The problem of practice was identified as the struggle that high school teachers face regarding integrating instructional technology tools into their classrooms in purposeful and meaningful ways that would enrich the classroom learning environment. Using a convergent mixed methods framework, the research was conducted in a multi-case study format with four participants in the study. The research was based on Vygotsky’s (1986) Sociocultural Theory with specific emphasis on the use of scaffolding and the zone of proximal …

Creating A Quality Feedback System Between School Administrators And Teachers, Gerald Keith Price

Theses and Dissertations

After moving to a new school district as superintendent, I recognized early on that student achievement was low and intentional work needed to be done to bring about academic improvement. As the district leadership team began to explore causes and discuss possible solutions, we decided we needed to focus on changing the perception around instructional leadership. School administrators are much more likely to have mutual dialogue with their teachers when they assume the role of a coach rather than a superior. With open lines of communication, teachers and administrators are able to discuss ways to maximize learning time with students …

Does Digital Deepen Discourse? A Case Study Of How Middle School Teachers Use Eureka Math2 To Promote High-Quality Mathematics Classroom Discussions, Michael Wilson Street

Theses and Dissertations

The purpose of this research was to evaluate how teachers use Eureka Math² (EM²) curriculum and technology tools to promote high-quality mathematics classroom discussions. Research has indicated these discussions improve students’ mathematical knowledge, reasoning, and conceptual understanding. However, orchestrating these discussions is challenging, requiring adaptive thinking, deep content knowledge, and an unfamiliar facilitation role; implementing technology presents an additional challenge. This study was guided by three research questions. First, how and to what extent do teachers use EM² curriculum and technology tools to promote high-quality mathematics classroom discussions? Second, what are the perceptions of teachers about …

Engaging Students In The Scientific Process: An Examination Of Active Learning Strategies In Introductory Geoscience Labs, Meryssa Piper

Theses and Dissertations

High-quality instruction of introductory geoscience courses entices students to major in geoscience fields and ensures undergraduate students have opportunities to learn and apply scientific information and practices. Prior studies indicate that active learning strategies in higher education settings can increase student knowledge and interest. This dissertation explores the integration of two active learning strategies in introductory geoscience laboratory courses: inquiry and gamification The first study housed in Chapter 2 investigates the level of inquiry used in introductory geoscience lab activities across the United States. Through a comprehensive analysis of these activities, this chapter assesses: (1) the degree to which instructor …

Exploring The Impact Of Teacher Curiosity On Job Satisfaction And Self-Efficacy: A Quantitative Study In Stem Education, Christopher Jeffcoat

Theses and Dissertations

This dissertation presents a quantitative study involving 96 teachers of STEM subjects, aimed at investigating the relationship between teacher curiosity, job satisfaction, and teacher self-efficacy. The primary objective was to examine the significance of teacher curiosity in the context of educators' job satisfaction. The research findings indicate a moderate positive correlation between teacher curiosity and job satisfaction (r=0.57), suggesting that educators with higher curiosity tend to experience greater job satisfaction. Also, a moderate positive correlation (r=0.51) was identified between teacher curiosity and teacher self-efficacy, emphasizing the connection between curiosity and educators' belief in their ability to positively impact student learning. …

Leveling Up The Power Of Voice: The Impact Of Gamification On Speaking Participation Of Multilingual Learners In The Cybersecurity Classroom, Philip Peavy

Theses and Dissertations

The United States has a growing number of multilingual learners in its classrooms, but many schools are not prepared to support these students, especially in computer science education. There is a shortage of qualified teachers and few resources available in languages other than English. As a result, many multilingual learners are not actively participating in their computer science classes. This is a problem because computer science is a growing field with many opportunities for employment. One way to support multilingual learners in computer science education is through gamification. Gamification is the use of game-design elements and principles in non-game contexts. …

Nonlinear Optical Studies Of Complex Materials, Govinda Kharal

Theses and Dissertations

This dissertation presents an in-depth exploration of nonlinear optical investigations into complex material systems, employing second harmonic generation (SHG) and complementary bulk measurement techniques. The first project focuses on surface symmetries and phase transitions in IrTe2. Using SHG and electrical resistance measurements, we systematically investigate temperature-induced symmetry changes and reveal significant shifts in transition temperatures due to thermal cycling. Comparison with bulk X-ray diffraction confirms that these shifts are surface-related, providing a new interpretation of inconsistencies in reported transition temperatures. Our findings emphasize the effectiveness of SHG in capturing subtle surface phenomena, with future directions involving straincontrolled studies to manipulate …

Popular Justice Or Populist Justice? Penal Populism And Its Impact On Democracy, Kuan-Wu Chen

Theses and Dissertations

Populism, a pervasive phenomenon in contemporary politics, manifests as an anti-establishment, anti-pluralistic, morally charged framing that advocates for direct rule between leader and populace. Among its variants, penal populism emerges as a particularly concerning manifestation. It is characterized by a leader's deployment of panicking, punitive, and politically targeted rhetoric to enhance social control and accrue political capital rather than address crime prevention. This research argues that penal populism poses the most significant threat to democratic rule, as evidenced by theoretical, framing, and mobilization analyses. A novel categorization of populist variants is proposed based on dimensions of social categorization and exclusivity. …