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Mental Health Needs Of Families Of Patients In Intensive Care Units And The Role Of Mobile Health: Survey Study, Anthony Faiola, Saira Soroya, Zhonglin Hao, Reinhold Munker Jan 2026

Mental Health Needs Of Families Of Patients In Intensive Care Units And The Role Of Mobile Health: Survey Study, Anthony Faiola, Saira Soroya, Zhonglin Hao, Reinhold Munker

Markey Cancer Center Faculty Publications

Background: The experiences of patients with COVID-19 and their families manifested the most devastating effects of family separation since the 1918 Spanish influenza pandemic and, with it, a call for solutions to patient isolation and its effect on family mental health.

Objective: This study examined the recent experiences of families of critical care (intensive care unit; ICU) patients related to anxiety and depression (AD), satisfaction with clinician-family communication, and counseling from mental health and social services. This study explored correlations between these factors and family interest in mobile health (mHealth) designed to improve information flow and communication from patient bedside …


Robotizing Complex Welding Processes Through Imitation Learning And Generative Models From Human Demonstration, Yue Cao Jan 2026

Robotizing Complex Welding Processes Through Imitation Learning And Generative Models From Human Demonstration, Yue Cao

Theses and Dissertations--Electrical and Computer Engineering

Arc welding processes demand real-time adaptive control that current robotic systems cannot achieve autonomously. This dissertation develops a systematic framework to robotize complex welding by learning from human demonstration, integrating generative modeling, physics-informed reconstruction, and model-based imitation learning. First, human--robot collaboration systems are established for both Gas Tungsten Arc Welding (GTAW) and Double-Electrode Gas Metal Arc Welding, combining robotic teleoperation with virtual reality interfaces to capture high-quality operator demonstrations. Second, a physics-informed neural network framework reconstructs complete molten pool flow fields from high-speed imaging, enriching process understanding beyond direct sensor observation. Third, generative models, including a hybrid latent variational autoencoder …


Challenges And Applications Of Fine-Grained Temporal Action Understanding: Modeling Temporal Granularity And Data Efficiency, Halil I. Helvaci Jan 2026

Challenges And Applications Of Fine-Grained Temporal Action Understanding: Modeling Temporal Granularity And Data Efficiency, Halil I. Helvaci

Theses and Dissertations--Electrical and Computer Engineering

Fine-grained Temporal Action Segmentation (TAS) has become a cornerstone of video understanding, offering dense frame-level predictions essential for clinical assessment, surgical skill evaluation, and human-computer interaction. While TAS methods have delivered strong results on coarse-grained benchmarks, two fundamental challenges persist: (1) global attention mechanisms dilute boundary information critical for subsecond precision, a phenomenon we term the temporal granularity bottleneck, and (2) dense frame-level annotation remains prohibitively expensive, with most datasets requiring exhaustive labeling of lengthy untrimmed videos. These challenges are particularly pronounced in medical domains, where sub-second primitives define clinical outcomes while expert annotation remains scarce. In this dissertation, we …


Design Of Energy-Efficient, Scalable, And Flexible Tensor Processing Architectures With Electro-Photonic Integrated Circuits, Oluwaseun Alo Jan 2026

Design Of Energy-Efficient, Scalable, And Flexible Tensor Processing Architectures With Electro-Photonic Integrated Circuits, Oluwaseun Alo

Theses and Dissertations--Electrical and Computer Engineering

In recent years, artificial intelligence has achieved remarkable success across domains such as computer vision, natural language processing, and scientific computing. This progress has been driven largely by advances in deep learning, particularly deep neural networks (DNNs), including convolutional neural networks (CNNs) and transformer-based models. While these models deliver unprecedented accuracy, often surpassing human performance, their computational complexity continues to grow rapidly due to multibillion- and trillion-parameter designs. As model sizes and deployment scales expand, the demand for energy-efficient and high-throughput hardware accelerators has intensified. Conventional electronic platforms based on CPUs, GPUs, ASICs, and FPGAs are increasingly constrained by the …


Learning-Enabled Methods For Optimal, Constrained, And Fault-Tolerant Robot Motion Planning, Charles L. Clark Jan 2026

Learning-Enabled Methods For Optimal, Constrained, And Fault-Tolerant Robot Motion Planning, Charles L. Clark

Theses and Dissertations--Electrical and Computer Engineering

Safe and efficient motion planning is a core requirement for robots operating in complex real-world environments, yet traditional model-based approaches struggle to simultaneously achieve computational efficiency, solution optimality, and the ability to handle complex constraints and potential hardware failures. This dissertation investigates how neural networks, as general purpose function approximators, can be leveraged in both traditional and novel ways to overcome these limitations and advance beyond what purely model-based methods can offer. Three distinct contributions are presented. First, a new motion planner is developed that uses ReLU neural networks to decompose the configuration space into linear cost regions, enabling existing …


Advancing Edge Intelligence: Strategies For Improving Machine Learning On Embedded Devices, Prakash Dhungana Jan 2026

Advancing Edge Intelligence: Strategies For Improving Machine Learning On Embedded Devices, Prakash Dhungana

Theses and Dissertations--Electrical and Computer Engineering

Artificial intelligence (AI) has demonstrated tremendous success in handling complex tasks across multiple domains, a leap largely attributed to complex deep neural network (DNN) architectures. However, the increasing demand for real-time processing, low latency, limited connectivity, and enhanced privacy necessitates edge intelligence, where computation is performed directly on resource-constrained embedded devices rather than relying on cloud infrastructures. While optimized TinyML techniques such as pruning, quantization, and neural architecture search (NAS) have made edge deployment feasible by significantly reducing computation and memory demands, achievable performance remains severely limited by hardware constraints. Furthermore, models deployed in highly dynamic real-world environments suffer from …


Making Sense Of Membership: Organizational Socialization Of African Immigrant Employees In U.S. Workplaces, Ikeola J. Bodunde Jan 2026

Making Sense Of Membership: Organizational Socialization Of African Immigrant Employees In U.S. Workplaces, Ikeola J. Bodunde

Theses and Dissertations--Communication

This dissertation examines how African immigrant employees make sense of organizational socialization in U.S. workplaces. As global mobility reshapes the labor force, nearly one in five U.S. workers is foreign-born, making organizational socialization an increasingly complex communicative process. Classic socialization models assume linear, uniform adjustment, yet international employees often face ambiguity, cultural mismatch, and racialized expectations that complicate early workplace experiences. Guided by sensemaking theory, this study conceptualizes socialization as an ongoing, nonlinear process through which newcomers notice cues, construct interpretations, act on provisional understandings, and revise meanings as contexts shift. Using a qualitative, interpretive design, I conducted semi-structured interviews …


Modeling Inherited Retinal Disease In Zebrafish, Meet Patel Jan 2026

Modeling Inherited Retinal Disease In Zebrafish, Meet Patel

Theses and Dissertations--Biology

Inherited retinal diseases (IRDs) affect millions of people worldwide. Majority of IRDs are caused by degeneration of rod and cone photoreceptor cells (PRCs) due to gene mutations. The overarching goal of my dissertation is to model and evaluate the molecular role of various gene candidates involved in IRDs such as cone rod dystrophy (CRD) and retinitis pigmentosa (RP).

Mutations in CDHR1, a photoreceptor specific cadherin have been associated with CRD and recapitulated in mouse CDHR1 knockouts. However, the molecular function of CDHR1 remains unknown. CDHR1 has been shown to localize at the leading edge of murine rod nascent outer segment …


Implementing A Competency-Based Cross-Training Program To Enhance Patient Flow, Jill E. Shanklin Jan 2026

Implementing A Competency-Based Cross-Training Program To Enhance Patient Flow, Jill E. Shanklin

DNP Projects

Objective: To evaluate the effect of a competency-based cross-training program on perinatal nurses’ preparedness to care for medical-surgical (med-surg) overflow patients and to support patient flow.

Design: Quality improvement project using a quasi-experimental pre–post design.

Setting: A 44-bed perinatal unit within a university-affiliated medical center in the United States.

Participants: Registered nurses employed in the perinatal unit for ≥6 months; 24 completed the preintervention survey and 28 completed the postintervention survey.

Interventions: A competency-based cross-training program consisting of e-learning modules, simulation-based competency validation, and structured policy and procedure review.

Main Outcome Measures: Self-reported comfort, …


Enhancing Tray Integrity: A Quality Improvement Project To Reduce Central Sterile Processing Defects, Ashley Conn Jan 2026

Enhancing Tray Integrity: A Quality Improvement Project To Reduce Central Sterile Processing Defects, Ashley Conn

DNP Projects

Background: Instrument tray defects contribute to surgical delays, workflow disruptions, rework in sterile processing, inefficient instrument utilization, and patient safety risks.

Purpose: The purpose of this quality improvement project was to reduce orthopedic instrument tray defects through targeted education and standardized tray audits with double-check verification in a large academic medical center.

Methods: A quasi-experimental pre-post design was utilized to evaluate the impact of the intervention. Tray errors were captured using a standardized binary indicator. Staff satisfaction and confidence surveys were measured using Likert-scale surveys.

Results: Orthopedic trays were analyzed before (n=1,017) and after (n=941) implementation. Post-implementation, tray errors decreased …


Riddle Me Resilient: Investigating The Impact Of Riddle Based Class Openings On Student Resilience And Well-Being, Carolyn T. Brown Jan 2026

Riddle Me Resilient: Investigating The Impact Of Riddle Based Class Openings On Student Resilience And Well-Being, Carolyn T. Brown

DNP Projects

Abstract

Background: Burnout among nurses and nursing students is a widespread and well‑documented problem that adversely affects professional performance and psychological well‑being. Resilience serves as a key protective factor, helping buffer the effects of academic stress and reducing burnout over time. Incorporating brief, low‑stakes cognitive challenges—such as a riddle—can help foster resilience.

Purpose: This project evaluated the impact of incorporating riddles into a wellness-focused course, Introduction to Mindfulness and Wellness, on resilience and well-being among undergraduate nursing students.

Methods: This project employed an Institutional Review Board approved pre-post survey design to measure the effect of an intervention focused on …


Evaluating The Implementation And Use Of A Standardized Screening Process To Increase Flu Vaccine Uptake In A Rural Health Primary Care Clinic, Mackenzie L. Pierce Jan 2026

Evaluating The Implementation And Use Of A Standardized Screening Process To Increase Flu Vaccine Uptake In A Rural Health Primary Care Clinic, Mackenzie L. Pierce

DNP Projects

Background: Research has shown that an annual influenza vaccine is the most effective way to both prevent and reduce the risk of hospitalization and severe health complications of the flu. A yearly influenza vaccination is recommended for everyone age 6 moths and older.

Local Problem: Rural communities have lower rates of influenza vaccination which can be due in part to a lack of screening and education on vaccines and their importance. No process for influenza vaccine status screening existed at the project site prior to this project.

Methods: A quality-improvement project was conducted to evaluate the implementation of a standardized …


Evaluation Of A Nicotine Prevention Program In A Third Grade Classroom, Jennifer A. Pile Jan 2026

Evaluation Of A Nicotine Prevention Program In A Third Grade Classroom, Jennifer A. Pile

DNP Projects

Purpose: The purpose of this project was to increase knowledge of nicotine products and promote negative perceptions of nicotine use among third-grade students through early prevention education.

Background: Prevention is key and to prevent nicotine use, there must be an educational program with that aim in a much younger population. Third grade encompasses 8-, 9-, and 10-year-olds. This group is in the middle childhood stage and begin more complex thinking and problem-solving skills. There is physical and emotional development among this group.

Methods: This is a quasi-experimental study among third grade students in Breckinridge County Kentucky with pretest and …


Unintentional Medication Discrepancies In Outpatient Cardiac Procedures: Identifying Modifiable Barriers, Julie M. Turner Jan 2026

Unintentional Medication Discrepancies In Outpatient Cardiac Procedures: Identifying Modifiable Barriers, Julie M. Turner

DNP Projects

Background: Medication reconciliation (MR) reduces medication errors during care transitions; however, unintentional medication discrepancies (UMDs) remain common due to variable practices and lack of standardization. Patients undergoing elective cardiac procedures are particularly vulnerable given complex medication regimens.

Purpose: This quality improvement project evaluated implementation of a Medication Reconciliation Barrier Identification Checklist (MRBIC) in the cardiac catheterization laboratory to identify patient, staff, and system-level contributors to UMDs.

Methods: A quasi-experimental pre–post design was conducted at a large academic medical center. During a six-week intervention, nurses and providers completed the MRBIC during pre-procedure MR. Barrier scores were compared with …


Building Confidence And Team Communication: Implementation Of A Rapid Response In Situ Simulation Program In The Neonatal Intensive Care Unit, Janell F. Hacker Jan 2026

Building Confidence And Team Communication: Implementation Of A Rapid Response In Situ Simulation Program In The Neonatal Intensive Care Unit, Janell F. Hacker

DNP Projects

Background: Neonatal code events are high-risk, low-frequency occurrences in the neonatal intensive care unit (NICU). Simulation-based training is used to support skill development, maintain competencies, and enhance team performance.

Purpose: The purpose was to determine if a multidisciplinary, high-fidelity, rapid response in situ simulation program would impact confidence and communication among frontline healthcare providers during neonatal code events.

Methods: A quasi-experimental, pretest-posttest study was conducted in a 90-bed Level IV NICU. A multidisciplinary, high-fidelity in situ rapid response simulation program was implemented over a 3-month period for frontline NICU healthcare providers. Pre- and post-surveys assessed perceptions of role clarity, …


Improving Compliance With Preoperative Antibiotic Protocols For Cardiac Implanted Electronic Devices: A Quality Improvement Project, James Kaup Jan 2026

Improving Compliance With Preoperative Antibiotic Protocols For Cardiac Implanted Electronic Devices: A Quality Improvement Project, James Kaup

DNP Projects

Abstract

Background

Cardiac implantable electronic device infections remain a serious complication of permanent pacemaker implantation despite evidence-based infection prevention guidelines.

Local Problem

An academic electrophysiology laboratory identified inconsistent guideline-concordant antibiotic selection despite consistently high compliance with recommended antibiotic timing.

Methods

A nurse-led, quasi-experimental pre-post quality improvement project evaluated implementation of a standardized preoperative antibiotic prophylaxis protocol. Data from 36 permanent pacemaker implantations (16 pre-intervention, 20 postintervention) were analyzed.

Interventions

The intervention included a standardized antibiotic protocol, multidisciplinary staff education, and performance feedback.

Results

Guideline-concordant antibiotic selection improved from 37.5% to 95.0% (χ² = 11.27, P = .001). Antibiotic timing remained …


Breeding For Fhb Resistance And Post-Harvest Quality In Soft Red Winter Wheat, Margaret E. Gillum Jan 2026

Breeding For Fhb Resistance And Post-Harvest Quality In Soft Red Winter Wheat, Margaret E. Gillum

Theses and Dissertations--Plant and Soil Sciences

Soft red winter wheat (Triticum aestivum L.) is both an economically and nutritionally important crop in the global food supply. Despite its global importance, wheat is continually threatened by fungal diseases. Fusarium head blight (FHB), caused by Fusarium graminearum, is a devastating fungal disease affecting wheat worldwide, resulting in low yields, reduced test weight and mycotoxin production. The mycotoxin deoxynivalenol (DON) is toxic to humans, results in feed rejection in livestock, and is heavily monitored in the food supply. Because of wheat’s importance in the food system, post-harvest quality (milling, baking, and flavor) has been a growing area of …


Effects Of Student And School Technology Adoption On Student Reading Achievement In The United States: The Case Of Pisa 2018, Mikah J. Hughes Jan 2026

Effects Of Student And School Technology Adoption On Student Reading Achievement In The United States: The Case Of Pisa 2018, Mikah J. Hughes

Theses and Dissertations--Educational, School, and Counseling Psychology

This study examined the relationship between student and school-level information and communication technology (ICT) factors and reading achievement using data from the Programme for International Student Assessment (PISA) 2018 in the United States. In an increasingly digital world, reading and information literacy are essential skills, yet significant gaps in digital competencies persist. This study investigated how ICT access, use, and perceptions relate to reading achievement in the context of student and school background factors.

A two-level hierarchical linear modeling (HLM) framework was employed to account for the nested structure of students within schools. The sample included approximately 4,000 students across …


Characterization And Antimicrobial Activity Of Lignin-Derived Compounds In Ground Hurd Tissue Of Cannabis Sativa L. (Hemp) Cultivars, Jourdan E. Lakes, Anjam Sadik, Robert C. Pearce, Barbara L. Knutson, Stephen E. Rankin, Bert C. Lynn, Michael D. Flythe Jan 2026

Characterization And Antimicrobial Activity Of Lignin-Derived Compounds In Ground Hurd Tissue Of Cannabis Sativa L. (Hemp) Cultivars, Jourdan E. Lakes, Anjam Sadik, Robert C. Pearce, Barbara L. Knutson, Stephen E. Rankin, Bert C. Lynn, Michael D. Flythe

Chemistry Faculty Publications

Objectives: Characterize lignin-derived compounds from the hurd of 10 fiber/grain Cannabis sativa L. cultivars and investigate the antimicrobial activity of select compounds on the wasteful ruminant bacterium, Acetoanaerobium sticklandii SR.   Methods: Hurd was processed using an aqueous ethanol solvent system and analyzed via GC-MS to identify and characterize lignin derivatives. Antimicrobial activity of the hurd and three monomers was assessed using solid (hurd) and liquid medium (monomers) bioassays against SR.   Results: 27 compounds were identified, most as monomers but a few were dimers, ethylated derivatives, and organic acids. There were approximately equal G- and S-units with substantially fewer H-units. Several …


Navigating Mental Wellness: A Peer-Led Journey Into Adult Services, Kristin G. Haberek Jan 2026

Navigating Mental Wellness: A Peer-Led Journey Into Adult Services, Kristin G. Haberek

DSW Capstone Projects

Students with severe emotional disturbances (SED) occupy one of the most underserved intersections in American education and mental health care. As they age out of children’s services, they face abrupt service discontinuation, disrupted therapeutic relationships, and adult systems ill-equipped to meet their needs. These vulnerabilities, including heightened risks of crisis, hospitalization, homelessness, and justice involvement, constitute a central practice problem. This capstone addresses these transitions across three scholarly products: a systematic literature review, a theoretical concept paper, and a practical application paper, tracing a unified arc from diagnosing structural failures to proposing an evidence-informed, equity-oriented clinical response. Synthesizing key findings …


Student Familiarity With The Periodic Table Of The Elements: Results From Cued-Recall And Eye-Tracking Assessments On Memory, Victor A. Okuo Jan 2026

Student Familiarity With The Periodic Table Of The Elements: Results From Cued-Recall And Eye-Tracking Assessments On Memory, Victor A. Okuo

Theses and Dissertations--Chemistry

Learning element symbol–name associations and the spatial organization of elements on the periodic table is a foundational step in learning chemistry, supporting later understanding of chemical formulas, equations, bonding, and stoichiometry. Although students often rely on memorization strategies to learn periodic table content, this task is challenging due to the large number of elements and the apparent ambiguity in matching some element symbols to their names.

This study explores students’ recall of element names when given element symbols as cues and their knowledge of element locations on the periodic table when given element names as cues. The study also examines …


Mouse Models For Post-Sepsis Syndrome, John Matthew K. Ang, Stephanie F. Mori, Erick Lewis, Maria E.C. Bruno, Arnold Stromberg, Hiroshi Saito Jan 2026

Mouse Models For Post-Sepsis Syndrome, John Matthew K. Ang, Stephanie F. Mori, Erick Lewis, Maria E.C. Bruno, Arnold Stromberg, Hiroshi Saito

Surgery Faculty Publications

Background – Sepsis survivors commonly suffer from chronic Post-Sepsis Syndrome (PSS). To understand the mechanisms of PSS, it is critical to utilize appropriate animal models. While cecal ligation and puncture (CLP) is a widely used model of sepsis, a concern exists regarding its suitability for studying long-term outcomes. Alternatively, we previously optimized a highly reproducible murine cecal slurry (CS)-injection model of sepsis. The objective of this study was to compare the suitability of CS and CLP models for investigating PSS. Methods – Male 4-month-old C57BL/6 mice were divided into 7 groups: (1) Naïve control; (2) Sham: laparotomy control; (3) CL: …


Scrolling, Searching, And Self-Diagnosing: Examining How Social Media Influences Self- Diagnosis And Shapes Mental Health Literacy, Conceptualization, And Identity Development, Sara Elaine Hamilton Jan 2026

Scrolling, Searching, And Self-Diagnosing: Examining How Social Media Influences Self- Diagnosis And Shapes Mental Health Literacy, Conceptualization, And Identity Development, Sara Elaine Hamilton

DSW Capstone Projects

This capstone examines the influence of social media on the growing issue of self-diagnosis of mental health disorders through three scholarly works: a systematic literature review (SLR), a conceptual paper, and practice application paper. Accessibility, anonymity, and social isolation are identified as contributing factors of self-diagnosis, as individuals increasingly prioritize convenience over traditional help-seeking methods. Research suggests that self-diagnosis is influenced by misinformation and reinforced by validation and a sense of belonging, leading individuals to internalize mental health disorders as part of their identity. Findings further indicate that social media plays a significant role in the dissemination of misinformation about …


Daily Rhythms In Psychosocial Stress, Sleep, And Mood: A Multimethod Approach To Transdiagnostic Psychopathology Risk And Intervention, Gabriel Gilmore Jan 2026

Daily Rhythms In Psychosocial Stress, Sleep, And Mood: A Multimethod Approach To Transdiagnostic Psychopathology Risk And Intervention, Gabriel Gilmore

Theses and Dissertations--Psychology

Rhythms are central to nearly every core physiological and psychological process and have profound influences on overall health and well-being, particularly in the context of mood disorders. This dissertation emphasizes a rhythm-centered framework for understanding transdiagnostic psychopathology, proposing that the temporal organization of psychosocial stress, sleep, and mood provides crucial information for the development and treatment of mood disorder symptomology. Current literature relies primarily on mean symptom levels, overlooking day-to-day patterns in psychosocial experiences. To address this key methodological gap, three studies are examined. Study 1 develops and validates the Psychosocial Stress Regularity Measure (PSRM), a brief single-item measure of …


Working Memory In The Pigeon: An Alternative Paradigm, Daniel Peng Jan 2026

Working Memory In The Pigeon: An Alternative Paradigm, Daniel Peng

Theses and Dissertations--Psychology

One of the most widely used measures of working memory in non-human animals is the delayed matching to sample (DMTS) design. While this design can assess for duration of working memory, alternative accounts can be made to explain decrements in retention. In addition, DMTS does not assess capacity of working memory in terms of number of items able to be held. The works in this dissertation aims to design a paradigm to measure capacity of number of items held in memory for non-human animals by asking animals to make a specific response after presentation of a random spatial sequence. While …


Comparing Domain- And Facet-Based Models Of Personality Disorder: Incremental Predictive Validity And Model Fit, Alexandra Hines Jan 2026

Comparing Domain- And Facet-Based Models Of Personality Disorder: Incremental Predictive Validity And Model Fit, Alexandra Hines

Theses and Dissertations--Psychology

Personality disorders (PDs) have historically been conferred using a categorical diagnostic framework (i.e., present versus absent). However, recent research supports a transition toward dimensional models of PDs wherein personality traits are measured along a continuum. Some dimensional models contain personality domains only, whereas other models contain both personality domains and facets of each of those domains. The leading models of each type are the PD model in the eleventh edition of the International Classification of Diseases (ICD-11) and the Alternative Model of Personality Disorders (AMPD) in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5), respectively. …


“Being Treated As The Expert:” A Blueprint For A Community Advisory Board Approach To Elevate The Voice Of People With Living Experience With Substance Use In Academic Research, Trevor Moffitt, Survivors Union Of The Bluegrass, Bryson Henson, April M. Young, Sharon L. Walsh, Rachel Vickers-Smith, Junior Cruz, Jeremy Byard, Brook West, Amanda Fallin-Bennett Jan 2026

“Being Treated As The Expert:” A Blueprint For A Community Advisory Board Approach To Elevate The Voice Of People With Living Experience With Substance Use In Academic Research, Trevor Moffitt, Survivors Union Of The Bluegrass, Bryson Henson, April M. Young, Sharon L. Walsh, Rachel Vickers-Smith, Junior Cruz, Jeremy Byard, Brook West, Amanda Fallin-Bennett

Nursing Faculty Publications

Introduction: Researchers have traditionally engaged Community Advisory Boards (CABs) to meaningfully involve community members in the research process. However, CABs are often formed only after a grant is funded, leading to criticisms of functioning merely as “ethical approvers.” For substance use researchers, the inclusion of people with living experience (PWLE; current experience with drug use) across all stages of research is especially important as they have historically been the experts in the needs of their community.   Methods: In response to this need for community engagement in research, the University of Kentucky, in partnership with a local recovery community center (RCC; …


Coalition Building And Citizen Science For Radon Risk Reduction, Stacy Stanifer, Kathy Rademacher, Whitney Sedio, Naomi Cheek, David Gross, Caitlyn Curtis, Amanda Thaxton-Wiggins, Mary Kay Rayens, Ellen J. Hahn Jan 2026

Coalition Building And Citizen Science For Radon Risk Reduction, Stacy Stanifer, Kathy Rademacher, Whitney Sedio, Naomi Cheek, David Gross, Caitlyn Curtis, Amanda Thaxton-Wiggins, Mary Kay Rayens, Ellen J. Hahn

Nursing Faculty Publications

We evaluated the implementation of local coalitions led in partnership with citizen scientists, community-based organizations, and public libraries in four rural communities to lower exposure to radon in the home. The objectives were to (1) describe the Reach-Effectiveness-Adoption-Implementation-Maintenance (RE-AIM) of four radon coalitions, and (2) compare RE-AIM factors among citizen scientists who participated in the coalitions and those who did not. A larger community-engaged research project embedded coalition building using a citizen science approach. Three of the four coalitions focused on health and wellness more broadly (18–34 members); one focused solely on radon (10 members). Coalition membership and activities varied …


Phonics And Friends: A Critical Multimodal Discourse Analysis Of Popular Teacher Influencers' Content, Zachary T. Milford Jan 2026

Phonics And Friends: A Critical Multimodal Discourse Analysis Of Popular Teacher Influencers' Content, Zachary T. Milford

University of Kentucky Doctoral Dissertations

This critical multimodal discourse analysis examined how five teacher-influencers aligned with the Science of Reading (SoR) movement performed authority, constructed discourses, and used affective and semiotic resources in viral TikTok videos about reading instruction. Drawing on Kress and van Leeuwen's (2001) multimodal social semiotics, Fairclough's (1992) critical discourse analysis, Foucault's (1977, 1982) theorizations of power, Papacharissi's (2014) theory of affective publics, Ong's (1982) secondary orality, and Taussig's (1993) mimesis and alterity, this interpretive, qualitative, multiple-case study analyzed fifty viral TikTok videos and four semi-structured interviews with teacher-influencers. Data were analyzed through within-case and within-mode coding, cross-modal analysis, and cross-case analysis …


Multiscale Modeling Of The Thermomechanical Behavior Of Polymeric And Molecular Organic Semiconductors, Kehinde H. Fagbohungbe Jan 2026

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 …