Digital Commons Network^™

Empirical Dynamical Modeling Of Cortico-Hippocampal Information Transfer During Memory Encoding, Sam Y. Cole

Theses and Dissertations

Understanding how brain dynamics support successful memory formation remains a central challenge in neuroscience. This dissertation applies tools from empirical dynamical systems theory to investigate the neural mechanisms underlying episodic encoding, with a focus on cortico-hippocampal interactions. Using stereoelectroencephalography (sEEG) data recorded during a delayed free recall of word lists task, this work reveals nonlinear, state-dependent shifts in directed information flow between cortex and hippocampus that distinguish successful from unsuccessful encoding. To further characterize these dynamics, state-space trajectories are reconstructed using time-delay embedding and recurrence-based methods, and features derived from these trajectories are used to classify memory outcomes. By integrating …

Modeling Of Laser-Produced Plasma Plumes: Expansion, Chemistry, And Thin-Film Deposition, Edmund Tsiri Semaha, Edmund Tsiri Semaha

Theses and Dissertations

Abstract

Laser-assisted material processing involves coupled plasma expansion, chemical reactions, and particle transport that govern the quality of thin-film deposition. This dissertation presents a comprehensive computational investigation of these processes using the OpenFOAM framework. First, the performance of the twoPhaseEulerFoam (tPEF), rhoCentralFoam (rCF), and sonicFoam (sF) solvers is evaluated for modeling laser-produced plasma plume expansion under atmospheric conditions, demonstrating that tPEF accurately captures shock-wave propagation, hydrodynamic behavior, and multispecies interactions. Building on this validation, the reactingFoam (rF) solver is employed to investigate the chemistry of aluminum plasma expanding into an air environment (Al–N₂–O₂). The model incorporates appropriate thermodynamic, transport, and …

Stacked Risks, Unequal Returns: Stratified Risk Allocation In Housing And Higher Education, Regina M. Lewis

University of Kentucky Doctoral Dissertations

In the United States, public policy does more than distribute resources. It distributes risk. The same policy can create profoundly different consequences for different people because policies operate on landscapes shaped by generations of unequal investment and opportunity.

To explore this process, I introduce the Stratified Risk Allocation (SRA) Framework to demonstrate how facially neutral policies reproduce inequality by allocating risk across populations with unequal capacity to absorb it. Drawing on risk society theory, historical institutionalism, critical race theory, intersectionality, and stratification economics, the SRA framework distinguishes between Exposure, the likelihood of encountering policy-generated risk, and Capacity, the resources available …

Promptable Segmentation For Adaptive And Data-Efficient Medical Image Analysis, Tyler Ward

University of Kentucky Doctoral Dissertations

Image segmentation is a fundamental task in computer vision. While segmentation models have traditionally been trained in a fully-supervised manner, recent approaches have leveraged large-scale pre-training and prompting mechanisms to great effect. However, the performance of such approaches often degrades when applied to domain-specific tasks like medical image analysis. A major reason for this lies is that these models are trained on large, labeled datasets of natural images, which have drastically different characteristics compared to medical images, limiting the generalizability of the methods when applied to medical data. This dissertation presents several data-efficient, adaptive, and promptable medical image segmentation models. …

Regulating Galaxy Growth: Ionized Gas Conditions, Star Formation Histories, And Environmental Effects, Shweta Jain

University of Kentucky Doctoral Dissertations

Understanding galaxy formation and evolution requires tracing how baryons cycle between stars, gas, and the interstellar medium (ISM) across cosmic time. The efficiency of star formation, the buildup of metals, and the regulation of gas inflows and outflows are governed by evolving physical conditions within galaxies and their environments. My thesis investigates how the ionized ISM, star formation histories, and environmental processes have shaped galaxy evolution over the past ∼ 12 Gyr. The primary focus of this work is the evolution of the physical conditions of ionized gas in galaxies, including gas-phase metallicity and ionization state. Using new and archival …

Multiscale Modeling Of The Thermomechanical Behavior Of Polymeric And Molecular Organic Semiconductors, Kehinde H. Fagbohungbe

University of Kentucky Doctoral Dissertations

Organic semiconductors, derived from π-conjugated polymers and molecules, enable the development of deformable, stretchable and flexible electronics due to their tunable redox, optical, electronic and mechanical properties. However, an informed understanding of how multi-scale morphological characteristics of the polymeric and molecular semiconductors influence bulk properties that contribute to electronic and optical performance, especially under operational thermal and mechanical stresses, remains incomplete. This lack of understanding poses a challenge to scalability and commercialization of organic electronics. This dissertation develops and deploys computational modeling approaches, particularly atomistic molecular dynamics (MD) simulations, to investigate the multiscale morphological behavior of these synthetic semiconducting materials …

A Nonlocal Lattice Particle Method For Modeling Hcp Polycrystalline Solids, Di Liu

University of Kentucky Doctoral Dissertations

Polycrystalline materials, composed of individual grains with varying grain size, shape, and crystallographic orientation are widely used in various engineering and industrial applications. Conventional applications of polycrystalline materials rely on the macroscopic performance, and the microstructural features are usually homogenized out. With the advancement of modern technologies and improvement of characterization methods, polycrystalline materials find their applications in meso- and micro-scale systems. At these length scales, the microscopic features including grain boundary characteristics significantly affect the material physical responses. As a result, the conventional continuum mechanics models become problematic, especially for material failure problems where the microstructural features play dominant …

Personality Exceptions: Enhancing Character In Narrative Planners With Internal Memory, Elinor Rubin-Mcgregor

University of Kentucky Doctoral Dissertations

Stories and narratives are powerful tools for forging connections between people, as they induce emotions shared through their audience and help build empathy and understanding through sharing unique perspectives. Interactive stories can do all this and more, as they can be used to better educate and engage their audience. But in such stories, the characters must have consistent personality and human-like emotions in order for the audience to relate to them. Current implementations of personality in interactive narratives either portrays characters with static personality that feel less realistic, or else require a great deal of additional work from the author …

Impact Of Artificial Intelligence On Medical Education And Cognitive Skill Development At Medical College Imam Mohammad Ibn Saud Islamic University, Anas Bassam Barnawi, Abdulrahman Abdullah Almudawi, Abdullah Mohammed Alrabeah

Health Professions Education

Purpose This study aims to explore the impact of AI on medical education by examining the relationship between AI use and academic performance in medical courses, evaluating the extent of its integration in students' clinical practice and application, and assessing how it enhances medical knowledge and understanding. In addition, the study measures medical students' attitudes toward the use of AI in their education and clinical training, providing a comprehensive overview of both its benefits and challenges.

Methods A cross-sectional survey was conducted between November 2024 and December 2024 with 168 participants, including students and interns from various academic years. The …

Assessing The Academic Performance Of Medical Students In Face-To-Face And Online Examinations: A Comparative Study From A Leading Medical College Of Peshawar, Pakistan, Rizwan Faisal, Iftikhar Qayum, Lia Anwar, Usama Afridi, Abdul Rahman, Rehan Ahmad

Health Professions Education

Background: The world of medical education is rapidly replacing the traditional face-to-face assessments of students by switching to online systems, and Pakistan is also undergoing this transition in its medical colleges and universities. It is therefore essential to obtain data on the performance of medical students in this new mode of assessment so that a smooth transition is enabled. Objective: To evaluate the academic performance of medical students in face-to-face and online examinations based on gender and professional year. Methods: A comparative study was performed at Rehman Medical College, Peshawar, Pakistan, from November 2023 to January 2024, on face-to-face and …

Professional Identity Development Among Nursing Students: The Impact Of Structured Reflective Practice, Abdelmonim El Fadely, Kamal Takhdat, Charaf-Eddine Ahraiba, Rahma Bouali, Sabah Selmaoui, Boujemaa Agorram

Health Professions Education

Purpose This study aimed to assess the impact of a structured reflective practice intervention on the development of professional identity among nursing students. Method A mixed-methods design was adopted. The intervention, based on guided reflective practice, was implemented with a voluntary sample of 58 participants. The evaluation relied on a quasi-experimental quantitative approach using the Macleod Clark Professional Identity Scale, with a comparison group and both pre-test and post-test measurements. A qualitative component was also included to explore the dimensions of the studied concept in greater depth. Results Quantitative findings showed a statistically significant difference between the post-test means (p < 0.001), indicating that the reflective practice intervention had a positive effect on the experimental group compared to the control group. The qualitative results further illuminated students’ reflections, which were organized into ten themes corresponding to the study’s conceptual framework: professional knowledge and skills, values and ethics, the nursing role, leadership, professional self-image, social image of the profession, sense of belonging, identification with role models, theory–practice integration, and career choice. These dimensions provided a comprehensive and nuanced understanding of professional identity, capturing the complexity of the concept. Conclusion These results support the integration of reflective practice as a pedagogical approach to fostering the construction and development of a positive professional identity. Professional identity, as a rich and multidimensional concept, goes beyond the process of professionalization—it represents its ultimate achievement.

Climate Change Education In Medical Curricula: Integration, Collaboration, And Preparedness For Emerging Health Challenges, Sungkono Sungkono, Agus Santoso, Firdiawan Ekaputra, Firdian Makrufardi

Health Professions Education

Climate change poses increasing risks to global health, highlighting the need for healthcare professionals who understand the links between environmental change and health outcomes. Medical education is a key platform for fostering such competencies. This study aimed to examine the role of climate change education within medical curricula, focusing on its integration, the promotion of interdisciplinary collaboration, and its contribution to preparing students for emerging health challenges. This perspective paper provides an overview of current approaches to the integration of climate change education into medical training. Sources addressing curriculum design, knowledge acquisition, practical skill development, and collaborative learning were considered. …

Health Students’ Knowledge, Perceptions, And Willingness Toward Artificial Intelligence In Tackling Antimicrobial Resistance: A Cross-Sectional Study, Ikhwan Yuda Kusuma, Fauziah Fauziah, Afriza Pujiati, Dhiya Zulayta, Septi Nurkhasanah, Khamdiyah Indah Kurniasih

Health Professions Education

Background: Antimicrobial resistance (AMR) causes approximately 4.95 million deaths annually. Although artificial intelligence (AI) may enhance AMR detection, surveillance, and antimicrobial use, evidence remains limited regarding how health students’ knowledge, perception, and willingness influence AI adoption for AMR control.

Purpose: This study aimed to examine the direct and mediating relationships between health students’ knowledge, perception, and willingness toward AI-based approaches for combating antimicrobial resistance in Indonesia using structural equation modeling.

Methods: A cross-sectional study involving 4,369 health students across Indonesia was conducted using a validated questionnaire. Data on knowledge, perception, and willingness were analyzed using Structural Equation Modeling (SEM), SmartPLS, …

Relational Efficacy Beliefs In Supervision Of Master’S Level Counseling Trainees As Predictors Of Counseling Interests And Goals, Taylor Karnilaw

Electronic Theses & Dissertations (2024 - present)

Master's level counseling trainees have condensed training periods before making career-related decisions and are often placed in settings with high rates of burnout and turnover. Supervision has been shown to be a protective factor for burnout and has the potential to be a source of self-efficacy, which has been linked with career-related outcomes like occupational interests and goals (Lent et al., 2018; O’Connor et al., 2018). Moreover, within the context of close relationships, like supervision, efficacy beliefs are believed to be shaped by a network of beliefs, including relation-inferred self-efficacy, self-efficacy, and other-efficacy (Lent & Lopez, 2002). The current study …

Development Of Alternative Plasma Etching Techniques For The Selective Removal Of Tan With Respect To Sioch Dielectric Materials To Enable Future Back-End-Of-The-Line Scaling, Ivo Otto Iv

Electronic Theses & Dissertations (2024 - present)

Transistor scaling has continued according to Moore’s Law for over fifty years. As transistor size decreases, adequate power delivery is required to enable transistor scaling without performance loss. Power delivery is provided by a metal interconnect network with insulating dielectric that connects the transistor level to the power source, the signal speed within this metal line network limiting transistor level switching speeds. Reduction of signal delay has moved from primarily dimension-based improvement towards adoption of conductor and dielectric materials with lower resistivity and a reduced dielectric constant value, respectively: transitioning from Al/SiO₂ to Cu/low-κ SiOCH. With this transition comes …

Neural Network Transceiver For Ltv Mimo Channels, Iresha Amarasekara

Electronic Theses & Dissertations (2024 - present)

Eigenfunctions are commonly employed to characterize kernels in various data-driven analyses. In machine learning, eigenfunction decomposition typically relies on Mercer's theorem, which assumes kernel symmetry. However, this condition is often unmet in communication systems, where channel kernels are asymmetric due to differences in downlink and uplink propagation environments. The High-Order Generalized Mercer's Theorem (HOGMT) provides a systematic approach for decomposing multidimensional asymmetric kernels into eigenfunctions. To address the complexity of eigen-decomposition, this work introduces a baseline neural network (NN) framework HNET. The HNET framework is further enhanced by incorporating the augmented Lagrangian method (ALM) to explicitly enforce orthogonality constraints. This …

The Instruments Of Chinese Economic Statecraft, Wilson Han

Electronic Theses & Dissertations (2024 - present)

The global economic order is undergoing a profound transformation as China increasingly leverages its vast commercial resources not merely for market expansion, but as strategic instruments to reshape global governance and secure its national interests. Moving beyond traditional analyses that rely on aggregate macroeconomic indicators, this dissertation investigates the targeted, highly asymmetrical mechanisms of Beijing’s economic statecraft. It systematically examines three specific instruments – institutional, financial, and trade – through which China projects structural power and constructs an alternative economic order.

The first empirical study explores China’s institutional statecraft by analyzing its bid to join the Comprehensive and Progressive Agreement …

Stem Cell-Derived Developmental Models For Translational Evaluation Of Disease And Therapy, Maria B. Paredes-Espinosa

Electronic Theses & Dissertations (2024 - present)

Human development as well as congenital and adult diseases emerge from coordinated interactions among multiple cell types, regulatory programs, and tissue compartments that remain largely unresolved. Conventional simple lineage-restricted in vitro systems poorly capture this complexity. My dissertation uses human stem cell-derived developmental models to study human cardiac morphogenesis and heart diseases and application of a networked neuron platform to explore senescence-associated neurodegeneration impact on Alzheimer’s neurons.

Elongating multi-lineage organized cardiac (EMLOC) gastruloids are a synthetic embryology model that co-generates contractile cardiomyocyte populations alongside mesenchymal, endothelial, epicardial-like, neural crest-associated, and neuronal cells within a shared in vitro developmental environment. Single-cell …

New Game Start: Playing With Power, Community And Change In Video Gaming Culture, Jonathan D. Muller

Electronic Theses & Dissertations (2024 - present)

Video gaming culture has long been a site associated with norms and values of whiteness, masculinity, and neoliberalism, with games, players, and developers all reinforcing these. Recently though, gaming culture has been directly involved with social movements and forms of resistance that are contrary to these norms and values. The typical gamer is no longer a white man, and gaming culture is now acknowledged to include race and gender dynamics that are close to that of the broader population. These communal shifts have both challenged and reinforced existing power structures. This research addresses these shifts and struggles by analyzing how …

Next-Generation Computing Hardware: Advancements In Tantalum Oxide Reram For Ai And Neuromorphic Applications, Rajas Ravindra Mathkari

Electronic Theses & Dissertations (2024 - present)

The rapid development of artificial intelligence, machine learning, and data-intensive computing has exposed the fundamental limitations of conventional von Neumann architectures, in which energy and time are continuously lost transferring data between physically separate memory and processing units. In contrast, the human brain performs complex computations directly at the point of memory storage through billions of parallel synaptic connections, a paradigm known as in-memory computing. Realizing this in hardware requires memory devices that are fast, energy-efficient, non-volatile, and capable of storing multiple resistance levels in an analog manner. Resistive Random Access Memory (ReRAM) based on tantalum oxide (TaOx) is one …

Investigation Of Fine-Grain Cu And Cu Alloys For Low-Temperature Hybrid Bonding Applications, Sarabjot Singh

Electronic Theses & Dissertations (2024 - present)

Hybrid bonding has emerged as a key enabler for next-generation three-dimensional (3D) integration, offering fine-pitch interconnects and improved electrical performance. However, conventional Cu–Cu hybrid bonding typically requires elevated temperatures to achieve sufficient diffusion and interface quality, posing challenges for temperature-sensitive device integration and process compatibility. This work investigates materials engineering approaches to enable low-temperature Cu–Cu bonding through both microstructure design and alloying strategies.

This work begins by examining grain refinement in Cu as a pathway to enhance diffusion through increased grain boundary density, providing efficient atomic transport without introducing additional elements. Three Cu-based systems Cu–Co, Cu–Ag, and Cu–Al were systematically …

From Sparks To Insights: An Aggregate Analysis On Arson And Explosive Data Reporting Published By The Atf (2014-2024), Zahra A. Khan

Electronic Theses & Dissertations (2024 - present)

This thesis provides an aggregate assessment of arson and explosives incidents reported by the Bureau of Alcohol, Firearms, and Tobacco, from 2014 to 2024. This thesis is written to highlight trends, investigative outcomes, and evolving patterns of criminal activity. Analysis of the data reveals notable shifts in incident frequencies, data distributions, and case resolution rates. This suggests both emerging technologies and changing operational dynamics that have affected long-term trends in arson and explosive incidents. Variations in incident types and investigative outcomes underscore the interplay between law enforcement priorities, resource allocation, and reporting practices over the ten-year period. The study also …

Graph-Based And Graph-Transformer Representation Learning For Healthcare Data, Rui Wang

Electronic Theses & Dissertations (2024 - present)

Healthcare data exhibit complex structures, including heterogeneous clinical entities, sparse observations, and longitudinal patient trajectories. Effectively modeling such data remains a fundamental challenge in computational healthcare research. Traditional machine learning approaches often rely on flat feature representations that fail to capture relationships among clinical events, limiting their ability to model complex healthcare processes. These challenges motivate structured learning frameworks that capture both relational structure and temporal dynamics in healthcare data. This dissertation develops a series of graph-based representation learning approaches, extended through graph-transformer architectures for modeling complex healthcare data. Such data can be represented as graphs, where nodes correspond to …

Spectral Analysis Of Traffic Accidents In New York's Capital Region, Michael Barr

Electronic Theses & Dissertations (2024 - present)

In this paper we estimate the spectral density of traffic accident events in the Capital Distict, NY area using a band-pass filter known as the Kolmogorov-Zurbenko Fourier Transform (KZFT). The source data is provided by Moosavi, et al. (2019) and originally captured from various public entities and sensors in the road network. Spectral density estimation with KZFT suppresses noise to reveal the constituent frequencies embedded in the noisy signal. Signal reconstruction based on KZFT produces an approximate weekly accident arrivals for this noisy signal, or in other words a pattern which is proportionate to the event expectation viewed over a …

The Relationship Between State-Level Career And Technical Education (Cte) Policies And Secondary Student Enrollment In Construction, Manufacturing, And Health Sciences Cte Programs, Brittany A. Kitterman

Electronic Theses & Dissertations (2024 - present)

Across the United States, employers in construction, manufacturing, and healthcare report ongoing difficulty filling positions. These shortages have been driven by an aging workforce, increased demand, and high rates of retirement. Compounding these shortages, Federal investments such as the Infrastructure Investment and Jobs Act and the CHIPS Act have further increased demand. Career and Technical Education programs are well positioned to support workforce development and help close workforce shortages, but access and participation remain limited. Supported by Federal Perkins funding, states have enacted CTE policies to increase access and enrollment in CTE programs aligned with high-demand industries such as construction, …

Scalable Single-Erbium Telecom Qudits With Record Room-Temperature Quantum Coherence In Silicon-Based Nanostructures, Alexander Kaloyeros

Electronic Theses & Dissertations (2024 - present)

Advancing quantum information science demands solid-state quantum systems that maintain long quantum coherence at elevated temperatures while supporting scalable, CMOS-compatible fabrication and telecom C-band operation. No existing platform has simultaneously achieved these requirements, as state-of-the-art demonstrations of coherent control of erbium ions, with an intrinsic telecom-band optical transition, have been confined to cryogenic temperatures below < 10 K under controlled vacuum conditions. This thesis introduces a new paradigm in which materials science and engineering provides the enabling pathway to quantum coherence.

A foundry-compatible nanofabrication approach, paired with targeted materials engineering, is developed to realize a new class of CMOS-scalable quantum system: arrays of spatially isolated single-erbium-ion qudits (five-level systems) embedded in silicon-based (e.g., silicon carbide (SiC) and SiC_xO_y) hollow nanopillars (HNPs). Non-lithographically …

Development And Analysis Of An Embedded Hardware Platform For Low-Power Rram–Based In-Memory Computing And Neural Network Applications, Jeelka Solanki

Electronic Theses & Dissertations (2024 - present)

Conventional computing architectures are based on repeated data transfer between memory and the compute unit; however, artificial neural network applications rely on data-intensive vector-matrix multiplication as a mathematical operation, where data movement from memory to compute processor results in increased power consumption and reduced performance. Possible solutions to this problem include in-memory computing, which addresses the data transfer bottleneck by computing directly within the memory. To demonstrate the potential of this approach, our research group fabricated hafnium oxide-based resistive random-access memory (RRAM) arrays using a 65nm CMOS technology for in-memory compute operations. This work demonstrates the design and development of …

Entropic Dynamics Approach To The Classical Limit Of Quantum Mechanics: Decoupling Of The Center Of Mass Motion For A Mesoscopic Particle, Fatimah Judayba

Electronic Theses & Dissertations (2024 - present)

In the Entropic Dynamics (ED) approach, quantum mechanics is derived from the principles of entropic inference and information geometry. The ED approach differs from other interpretations by making a clear commitment to distinguishing which variables are ontic (real) and which are epistemic. The classical limit for the center of mass (CM) coordinate is achieved for a large number of particles, M →∞, while Planck’s constant ℏ remains finite. Typically, the emergence of the classical limit requires decoherence through interactions with the external environment. In this work, we investigate whether the classical behavior of the CM coordinate in a mesoscopic system …

Initial Development Of Contextualized Social-Emotional Learning Assessment Tool For The Indonesian School, Nisrina Nurika Agustin

Electronic Theses & Dissertations (2024 - present)

As social-emotional learning (SEL) becomes increasingly integrated into the Indonesian national curriculum, a significant gap remains regarding culturally grounded tools to measure student progress. Current assessments often rely on Western-centric frameworks that prioritize individualistic traits over the collectivist values—such as communal harmony and the 5S tradition—prevalent in Indonesian schools. This study aimed to develop and provide initial item generation for a localized SEL assessment tool for primary school students (Grades 1–3). Utilizing a Deductive Qualitative Analysis (DQA) design, the research drew upon the CASEL framework for structural alignment while employing inductive methods to ensure cultural relevance. Data were collected through …

The Chemistry Of Red Lipstick: The Impact Red Lipstick Has On Society, Lilliana Weldeslassie

Electronic Theses & Dissertations (2024 - present)

Cosmetic chemistry is deeply embedded in everyday life, shaping the products people use from morning to night. Among these, red lipstick stands out as a formulation that blends complex chemistry with a cultural meaning. This thesis examines the scientific foundations of red lipstick through its chemical composition, pigment structure, toxicological history, analytical methods, and evolving sustainability practices. Historically, red lipsticks relied on high-risk ingredients such as lead, mercury, and other toxic metals, reflecting an era before chemical safety and regulatory oversight were incorporated.²¹ Modern formulations have established safer synthetic dyes, natural waxes, plant-based oils, and stabilizers created to optimize …