Digital Commons Network^™

Compendia: Automated Visual Storytelling Generation From Online Article Collection, Manusha Imesh Karunathilaka Gamage Vidana, Litian Lei, Yiming Gao, Yong Wang, Jiannan Li

Research Collection School Of Computing and Information Systems

In the digital age, readers value quantitative journalism that is clear, concise, analytical, and humancentred. To understand complex topics, they often piece together scattered facts from multiple articles. Visual storytelling can transform fragmented information into clear, engaging narratives, yet its use with unstructured online articles remains largely unexplored. To fill this gap, we present Compendia, an automated system that analyzes online articles in response to a user’s query and generates a coherent data story tailored to the user’s informational needs. Compendia addresses key challenges of storytelling from unstructured text through two modules covering: Online Article Retrieval, which gathers relevant articles; …

Interpretable Multimodal Zero Shot Ecg Diagnosis Via Structured Clinical Knowledge Alignment, Jialu Tang, Hung Manh Pham, Ignace De Lathauwer, Henk S. Schipper, Yuan Lu, Dong Ma, Aaqib Saeed

Research Collection School Of Computing and Information Systems

Electrocardiogram (ECG) interpretation is essential for cardiovascular disease diagnosis, but current automated systems often struggle with transparency and generalization to unseen conditions. To address this, we introduce ZETA, a zero-shot multimodal framework designed for interpretable ECG diagnosis aligned with clinical workflows. ZETA uniquely compares ECG signals against structured positive and negative clinical observations, which are curated through an LLM-assisted, expertvalidated process, thereby mimicking differential diagnosis. Our approach leverages a pre-trained multimodal model to align ECG and text embeddings without disease-specific fine-tuning. Empirical evaluations demonstrate ZETA’s competitive zero-shot classification performance and, importantly, provide qualitative and quantitative evidence of enhanced interpretability, grounding …

Kedudukan Hukum Eks-Kreditor Pasca Debt To Equity Swap Yang Dihomologasi Dalam Pkpu Kedua Dan Kepailitan Debitor Akibat Pembatalan Perdamaian, Reza Rahmawati

Jurnal Hukum & Pembangunan

Debt to Equity Swap (DES) under a composition plan in Suspension of Debt Payment Obligations (PKPU) proceedings constitutes a restructuring mechanism that transforms the legal status of a Creditor into that of a shareholder upon homologation. Legal issues arise when The Debtor subsequently enters a Second PKPU due to newly incurred debts or is declared bankrupt following the annulment of the composition, while Law No. 37 of 2004 on Bankruptcy and Suspension of Debt Payment does not expressly regulate the legal consequences of a DES under such circumstances. This normative legal research aims to analyze the legal standing and legal …

Implementing The Lung Donor (Lundon) Acceptability Score In U.S. Donor Management And Transplant Decision-Making: A Multi-Aim, Mixed-Methods Protocol, Nikki E. Rossetti, Su-Hsin Chang, Yan Yan, Graham Jaensch-Frie, Charles R. Liu, Nahom Y. Seyoum, Meghna Katta, Arvind Kumar, Zhizhou Yang, Christian Oncken, Christy Hamilton, Kyle Stumbaugh, Brendan Heiden, Sarah Peskoe, Varun Puri, Et Al.

2020-Current year OA Pubs

BACKGROUND: Despite advances in transplantation science, a persistent shortage of donor lungs continues to limit access to life-saving lung transplants. The Lung Donor (LUNDON) Acceptability Score is a validated tool that predicts donor lung utilization and post-transplant recipient outcomes, but integration into practice remains limited. This study will evaluate determinants of LUNDON score adoption, its impact on clinical decision-making, and develop tools to support its implementation.

METHODS: This is a multi-aim mixed-methods pre-implementation study that will be conducted across U.S. Organ Procurement Organizations (OPOs) and lung transplant centers. Aim 1 will identify barriers and facilitators of LUNDON score adoption through …

Coexistence Between Ci And Feminization Inducing Symbionts: A Theoretical Perspective, Dylan Thorp

University of Kentucky Master's Theses

Endosymbiotic bacteria that manipulate the reproduction of their host are abundant in arthropods. Theoretical efforts to model these bacteria have seldom included symbionts that feminize their hosts, and those that do have assumed an environmental sex determination system. Here, I expand upon other theoretical works to model the dynamics of a host population with an XX/X0 sex determination system that contains separate CI and feminization inducing symbionts. I found that coexistence cannot occur without double infection, consistent with previous models. However, I also found that without double infection, the presence of the feminizing symbiont can facilitate the spread of the …

Frequency And Phase Synchronization Of Antenna Arrays With Phase Incoherent Microcontrollers, Harley W. Byrd

University of Kentucky Master's Theses

The construction of phased array antennas has traditionally been an expensive and complex task. It has recently been claimed that it is possible to construct high-performance Wi Fi antenna arrays using inexpensive consumer components. Motivated by some limited data available from online presentations of such devices, this thesis covers an attempt to construct a phased-array Wi-Fi antenna using several ESP32 chips, which have native Wi-Fi modulation and demodulation capabilities. While there are many positive aspects associated with utilizing ESP32 chips for this purpose, a key challenge is the inherent phase incoherence of their internal Phase Locked Loops (PLLs). The approach …

The Effects Of Systematic Instructional Interventions On Functional Communication, Vocational Independence, And Academic Performance For High School Students With Autism In A Self-Contained Special Education Setting, Sarah O. Shalash

University of Kentucky Master's Theses

This project evaluated the effects of systematic instruction on functional communication, vocational independence, and functional mathematics for three high school students with autism in a self-contained special education classroom using three A–B single-case designs. Interventions included a system of least prompts for AAC requesting and vocational task completion and constant time delay for a functional timer-setting task. Student performance was measured as the percentage of independently completed responses across instructional sessions. Student T demonstrated meaningful improvement in independent AAC requesting and reached 75% independence in the final session. Student B demonstrated emerging improvement in timer-setting performance and reached 60% independence …

Human Capability Development In Irish Tech Smes, Anna Zherdeva

Doctoral

Purpose: SMEs are the backbone of the European economic model and represent 99.8% of all businesses, highlighting the importance of research that assesses challenges and opportunities faced by SMEs. The reviewed literature revealed a significant lack of research on how SMEs can develop management, teamwork, and team-building skills in the context of the twin transition (i.e., digital and green transitions), particularly regarding digital transformation and its impact on economic development and business cooperation. Researchers have presented evidence of the difficulties SMEs face in competing with corporations due to numerous constraints, including a lack of investment and qualified human resources. To …

Exploring Undergraduate Women’S Experiences Of Collaborative Learning In Engineering Education: A Phenomenological Study Of The Social World, Sandra Ireri Cruz Morena

Doctoral

The persistent underrepresentation of women in engineering education remains a concern across global and national contexts, despite rising overall enrolment of women in higher education. In Ireland, the national average of women entering Engineering, Manufacturing, and Construction (EMC) programmes has gradually increased; however, the rate at Technological University Dublin (TU Dublin) has stayed at approximately 15% since 2016. This study seeks to better understand the gendered challenges underlying such trends by exploring the lived experiences of female undergraduate engineering students at TU Dublin, particularly in relation to collaborative learning environments such as project- and problem-based learning (PBL).

Bariatric Surgery Impacts Immune Cell Metabolism And Function Dependent On Metabolic Status, Samantha N. Hart

University of Kentucky Doctoral Dissertations

Type 2 Diabetes (T2D), one of the top ten causes of death worldwide, is fueled by chronic inflammation. T2D is considered a metabolic disease, and there is a great push to target metabolic and associated inflammatory pathways to ameliorate the disease & its comorbidities i.e., obesity and cardiovascular disease. Thus far, clinical trials of anti-inflammatory drugs have had modest impacts on T2D and have not led to changes in clinical practice. This may in part be due to a gap in knowledge in the mechanism(s) driving obesity-associated chronic inflammation. I posit that metabolic abnormalities in immune cells in those with …

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 …

Metabolomics Driven Discovery Of Bioactive Natural Products Leads From Marine And Terrestrial Sources For The Development Of Analgesics, Sahar Mofidi Tabatabaei

University of Kentucky Doctoral Dissertations

Natural products remain a rich source of structurally diverse bioactive compounds for drug discovery, particularly for pain therapeutics. However, the chemical complexity of natural product extracts presents significant challenges for the efficient identification and prioritization of bioactive metabolites. This dissertation integrates untargeted LC-MS/MS-based metabolomics, molecular networking, classical natural products chemistry, and neurobiological assays to accelerate the discovery of analgesic lead compounds targeting the emerging pain-associated receptor σ₂R/TMEM97.

An untargeted metabolomics workflow was developed to systematically profile complex biological extracts and guide bioactive compound isolation. High-resolution LC-MS/MS data were analyzed using molecular networking (GNPS/GNPS2) to visualize chemical space, dereplicate known metabolites, …

Examining Marginalized Sexual Identity Development Through Perry’S Scheme Of Cognitive Development, Miranda Bejda

University of Kentucky Doctoral Dissertations

Existing models of LGBTQ+ sexual identity development are critiqued for their linearity and lack of inclusion for diverse experiences and sexual identities. There is a call for a more robust understanding of the cognitive aspect of sexual identity development. The purpose of this dissertation is to further the understanding of how people think about their sexual identity through the developmental process using Perry’s scheme of cognitive development as a framework. Through semi-structured interviews, I analyze the LGBTQ+ sexual identity development process (Stage 1), how Perry’s scheme applies to LGBTQ+ sexual identity development (Stage 2), and propose a Perry-informed model of …

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. …

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 …

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 …

Technology-Facilitated Violence And Abuse: Portrayals And Perceptions, Christina S. Walker

University of Kentucky Doctoral Dissertations

In the past, intimate partner violence (IPV) was primarily perpetrated in person. However, due to new mediated communication technologies and capabilities like social media and artificial intelligence (AI), perpetrators can use this technology for various purposes including subjecting others to violence, harassment, and abuse. Such violence can be a form of IPV and is referred to as technology-facilitated violence and abuse (TFVA). TFVA is becoming increasingly prevalent and is encountered by a staggering percent of women. Furthermore, unlike traditional forms of IPV, even men are subjected to TFVA at increasing and disproportionate rates, particularly male teens.

In the current state …

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 …

Cognitive Validity In Listen-To-Write Summary Tasks: A Mixed-Methods Analysis Of Notetaking Data, Rebecca Yeager, Gomee Park, Junhee Park

Bilingual and Literacy Studies Faculty Publications

This study examines the cognitive validity of a listen-to-summarize task on a university placement test. Cognitive validity is underinvestigated in listening assessment, especially for higher-order listening processes (Holzknecht et al., 2017; Rukthong, 2021). However, student notes from listening tests can record evidence of these processes (Yeager et al., 2024; Cushing, 1991). This study employed an exploratory sequential mixed-methods design to investigate the higher-order listening processes elicited by an integrated listen-to-summarize task. First, notes from two administrations of the same test form – one with notetaking scaffolding (n = 25) and one without (n = 25) – were analyzed qualitatively. Second, …

Understanding Educators’ Perceived Barriers On Generative Ai Use For P-12 Education: An Exploratory Study, Sohyun Yang Ph.D., Gary Andersen Ph.D., Phillip A. Olt Ed.D., Elodie Jones Ph.D.

Advanced Education Programs Faculty Publications

This study explored P-12 educators' perceptions of generative artificial intelligence (GenAI) for teaching through a qualitative approach using thematic analysis (Braun & Clarke, 2006). Data were collected via a researcher-developed survey examining the barriers P-12 educators perceived related to GenAI use in teaching, administered to 119 educators enrolled in an online educator preparation program in a Midwestern state. The findings showed four levels of perceived barriers: educator, student, institution, and technology. Educator-related barriers included educators' lack of knowledge and readiness to use AI, the need for relevant training, their pedagogical beliefs, and professional identities. Student-related barriers included concerns about students’ …

Quantifying Uncertainty In Landscape Evolution And Provenance Analysis: Insights From Statistical And Numerical Modelling, Vivian Carmello Grom

LSU Doctoral Dissertations

Landscape evolution models (LEMs) and detrital zircon provenance are widely used to investigate Earth surface processes, yet both face challenges related to quantifying model behavior and interpreting sedimentary signals under realistic, heterogeneous conditions. This thesis addresses these challenges through analysis and case studies that develop and apply new approaches for analyzing landscape dynamics and assessing uncertainties in sediment provenance.

Chapter 1 introduces a quantitative framework for evaluating LEM outputs using Shannon Entropy, Moran’s I, and Geary’s C. Applied to simulations with steady uplift, periodic uplift, spatially variable uplift, and a timeseries of DEMs, these metrics capture spatial organization and information …

Full Proceedings, Nckri

Sinkhole Conference 2026

No abstract provided.

Kekuasaan Yudisial Dalam Sistem Demokrasi Konstitusional: Membangun Antitesis Dekonstitusionalisasi Dan Politisasi Peradilan, Tundjung Herning Sitabuana, Airlangga Surya Nagara, Dixon Sanjaya

Jurnal Hukum & Pembangunan

Strengthening idea of constitutional democracy as a transitional phase towards a modern rule of law requires one of main characteristics of an independent judiciary. Current phenomena demonstrate how utopian these conditions are as the judiciary becomes increasingly politically pragmatic, transactional, interdependent, and demoralized. At the same time, phenomenon of constitutional defiance is growing stronger with efforts to deconstitutionalize and politicize the judiciary. This study aims to explore the existence and legitimacy of the judiciary in constitutional democracy era against that phenomenon. The research was conducted doctrinally with a historical, conceptual, and comparative approach that was analyzed qualitatively. The results indicate …

Trial By Character, Hillel J. Bavli

Faculty Journal Articles and Book Chapters

In this Article, I argue that courts regularly deviate from Federal Rule of Evidence 404(b), which prohibits character evidence—evidence of a defendant’s past misdeeds offered to prove that the defendant acted in conformity with a certain character trait on the occasion in question. These deviations undermine the fairness of a trial and the presumption of innocence. The Article addresses this problem in three ways. First, it explains how courts have misinterpreted Rule 404(b)—an error that I call the permitted-purpose fallacy—and how they have fortified this misinterpretation with a body of flawed principles and precedent. Second, it reports the results of …

1981, Carliss N. Chatman

Faculty Journal Articles and Book Chapters

42 U.S.C. § 1981 should have solved a pervasive problem in American capitalism—when white economic interests do not converge with the contract rights of Black people, they are excluded from the market in a way that causes systemic harm. This Article proposes that the failure to enforce 1981 in the past may render it more harmful than beneficial in the present climate of retrenchment. The realities of racism combine with the lack of economic interest convergence to make combatting contract inequality on a contract-by-contract basis legally precarious, nearly impossible to properly evaluate, and difficult to economically incentivize. This is in …

Performing Democracy, Carliss N. Chatman

Faculty Journal Articles and Book Chapters

American universities are frequently portrayed as stewards of democracy—sites where dissent is protected, truth is pursued, and diversity is championed. Yet these institutions often betray these ideals, especially under the pressures of donor influence, reputational risk, and political retrenchment. This Essay interrogates the internal contradictions of the university by centering one of its most guarded rituals: faculty hiring. Building on my 2021 article The Soft Shoe and Shuffle of Law School Hiring Committee Practices, I argue that hiring serves as both a performance of inclusion and a mechanism for preserving institutional whiteness, elite networks, and gatekeeping norms. I extend …

Facilitating Mortgage Modification To Save Homes And Mitigate Lender Losses, Julia Patterson Forrester Rogers

Faculty Journal Articles and Book Chapters

Homeowners in financial distress or whose homes have been damaged by natural disaster may avoid foreclosure if their lender agrees to modify the loan to reduce payments. Commercial loans may also be modified to avoid foreclosure or in response to changed circumstances or changing market conditions. Although loan modifications are generally beneficial to both borrowers and lenders, barriers to modification exist. The Consumer Financial Protection Bureau (CFPB) has addressed some of the roadblocks to residential loan modifications by regulating the procedures that mortgage servicers must follow in dealing with delinquent borrowers, but the CFPB and its regulations are at risk …

Chat M.D., Nathan Cortez

Faculty Journal Articles and Book Chapters

Large language models (LLMs) such as Claude and ChatGPT are the most powerful artificial intelligence (AI) systems ever created, and they are being used to diagnose and treat patients. But LLMs have been shown to be unreliable, unpredictable, and unsafe on occasion. New AI guidelines recommend hundreds of standards, such as ‘transparency’, ‘trustworthiness’, and ‘safety’. But there is deep uncertainty whether these are sufficient. The literature focuses mostly on which standards best suit AI models, not on how to transmute standards into law. This article does that by considering AI guidelines as a starting point, then evaluating whether existing frameworks …

Let’S Modify Safety Valve To Value Family Ties, Laura Ginsberg Abelson

Faculty Journal Articles and Book Chapters

Federal sentencing law has long struggled to balance the breadth of drug conspiracy liability with the prin­ciple of proportional punishment. The statutory “safety valve” provision, codified at 18 U.S.C. § 3553(f) and mirrored in the U.S. Sentencing Guidelines, was designed to provide relief from mandatory minimum sentences for low- level, nonviolent offenders. Yet its requirement that defendants disclose all information concerning the offense sometimes places family-member codefendants in an untenable position: they may avoid harsh penalties only by incriminating loved ones. The requirement also conflicts with other provisions of the Guide­lines that provide guidelines reductions, but not relief from mandatory …