Digital Commons Network^™

Nanoparticle Carriers Enhance The Prophylactic Antiviral Effects Of Dsrna In Vitro And Ex Vivo, Shayne Oberhoffner, Stephanie Dewitte-Orr, Starla Richardson, Leah Haile, Dominique Daniels, Erin Cooper, Aizah Ijaz, Janet Velasquez Perez, Mathilde Peruzzi, Bertrand Collet, Paul Craig, Kristof Jenik

Theses and Dissertations (Comprehensive)

Aquaculture now outpaces traditional capture fisheries as the world population and demand for sustainable protein sources increases. Wild and farmed species are increasingly susceptible to pathogen spread as global temperatures rise and stocking densities increase. Despite the devastating losses experienced by aquaculture due to viral infections, there remain few effective prophylactic antiviral therapeutics. Long double-stranded (ds)RNA is a uniquely viral molecule produced by nearly all viruses during their replication cycle, and its detection by salmonids like rainbow trout (Oncorhynchus mykiss) and chinook salmon (Oncorhynchus tshawytsha) leads to the establishment of a defensive antiviral state. Previous in vitro studies demonstrated a …

Neural Correlates Of Cognitive Fatigue In Regular Cannabis Users And Non-Users: A Pilot Fnirs Study, Mariia Vistyzenko

Theses and Dissertations (Comprehensive)

Background: Cognitive fatigue impairs performance across multiple domains, yet how regular cannabis use affects fatigue responses remains unclear. This pilot study investigated neural and behavioural correlates of cognitive fatigue in abstinent cannabis users versus non-users.

Methods: Twenty-six participants (18 non-users, 8 regular cannabis users after 24-hour abstinence) completed cognitive tasks before and after a 60-minute Sustained Attention to Response Task (SART) designed to induce fatigue. Tasks assessed working memory (N-Back), cognitive flexibility (Wisconsin Card Sorting), psychomotor speed (Digit Symbol Substitution), sustained attention (Continuous Performance Task), inhibition (Stroop, Stop Signal), and motion perception. Functional near-infrared spectroscopy (fNIRS) continuously monitored prefrontal cortex …

Methylseleninic Acid Transformations In Nutrient Rich Water Containing Algae Exposed To Simulated Sunlight, Mikayla Cormier

Theses and Dissertations (Comprehensive)

Methylseleninic acid (MSA(IV)) is an organic form of selenium that has been suggested to be one of the most bioaccumulative forms of selenium in aquatic ecosystems. However, there have been no lab studies that confirm this, which is the reason this study was conducted. Once MSA(IV) and other bioavailable forms of selenium enter aquatic ecosystems, organisms such as algae take up these compounds which then bioaccumulate through the food chain. S. obliquus was exposed to 10 ppb MSA(IV) in 10% Bold’s basal medium (BBM) in a growth chamber to mimic environmental conditions over a 7-day period. Carbon traps and filters …

Moral Identity And Cognitive Mechanisms In Moral Decision-Making, Zachariah I. Hamzagic

Theses and Dissertations (Comprehensive)

Moral identity can be broadly conceptualized as the degree to which an individual places moral values as directly relevant to their personal identity. A recently introduced developmental framework of moral identity argues that moral identity can be conceptualized as a lifelong goal. According to this theoretical framework, the moral identity goal (i.e., to be a moral person and engage in moral action) becomes stronger over the course of development by becoming more abstract (i.e., general), internalized (to satisfy personal ideals) and promotion (i.e., action) oriented. Additionally, the strength of the moral identity goal predicts moral functioning. To date there has …

" Who Am I Here?" Exploring The Racial Identity Development Of Chinese Adolescent International Students In Canada: A Constructivist Grounded Theory Approach, Wen Juan Song

Theses and Dissertations (Comprehensive)

Abstract

This dissertation explores the racial identity development and associated mental health challenges of Chinese Adolescent International Students (CAIS) in Canada, a population navigating complex intersections of race, age, migration, and belonging. Despite their growing presence in Canadian secondary education, CAIS remain understudied in both educational and mental health research, particularly in relation to racial identity development within Western, multicultural societies. Using a Constructivist Grounded Theory methodology, this study draws on in-depth interviews with twenty-five CAIS participants, including ten current high school students, three returnees to China, and twelve who remained abroad in post-secondary education or employment.  The study is …

Standardization Of Neuromuscular Reflex Analysis—Role Of Fine-Tuned Vision-Language Model Consortium And Openai Gpt-Oss Reasoning Llm-Enabled Decision Support System, Eranga Bandara, Ross Gore, Sachin Shetty, Ravi Mukkamala, Christopher K. Rhea, Brittany S. Samulski, Amin Hass, Atmaram Yarlagadda, Shaifali Kaushik, Malith De Silva, Andriy Maznychenko, Inna Sokolowska, Kasun De Zoysa

VMASC Publications

Background/Objectives: Accurate assessment of neuromuscular reflexes, such as the Hoffmann reflex (H-reflex), plays a critical role in sports science, rehabilitation, and clinical neurology. Conventional interpretation of H-reflex electromyography (EMG) waveforms is subject to inter-rater variability and interpretive bias, limiting reliability and standardization. This study aims to develop an automated, interpretable, and robust agentic AI–driven framework for H-reflex waveform analysis. Methods: We propose a fine-tuned Vision–Language Model (VLM) consortium combined with a reasoning Large Language Model (LLM)–enabled decision support system for automated H-reflex interpretation. Multiple VLMs were fine-tuned on curated datasets of H-reflex EMG waveform images annotated with expert clinical observations, …

Machine Learning Classification Of Prostate Cancer Genomic Sequences Using K-Mer And Sequence-Derived Features, Kuldeep Rawat, Hirendra Nath Banerjee, Jamie Noble, Saa Naudia Deloatch, Satyendra Banerjee, Sachin Shetty, Soumya Banerjee

VMASC Publications

Prostate cancer disproportionately impacts African American men, who experience significantly higher mortality rates and earlier disease onset than other populations. Current diagnostic approaches, including prostate-specific antigen testing and biopsy, lack sufficient specificity and sensitivity, underscoring the need for accurate, molecular-level classification tools. This paper presents a machine learning framework for binary classification of genomic DNA sequences as cancerous or healthy. A dataset of 1684 FASTA-formatted sequences obtained from the National Library of Medicine - GenBank was analyzed, with 1662 sequences retained after quality control filtering. Feature engineering yielded 67 attributes, including GC content, Shannon entropy, sequence length, and trinucleotide k-mer …

Modeling Rank Distribution And The Relative Importance Factor Index In Discrete Power-Law Models: Application To Social Resilience Using The Scopus Database, Brian Llinas, Jose Padilla, Humberto Llinas, Erika Frydenlund, Katherine Palacio

VMASC Publications

Prior research on power-law distributions has primarily focused on modeling frequency patterns, with less attention given to rank distributions and how ranked positions reflect relative importance among elements. In discrete power-law distributions, frequency-based metrics often provide limited discrimination in the tail, where elements may exhibit similar counts but differ in relative dominance. These patterns are especially evident, for instance, in academic publishing, where keywords, affiliations, and citations commonly exhibit power-law behavior. To address this limitation, we introduce the Relative Importance Factor (RIF) Index, a statistical measure derived from the estimated discrete power-law rank distribution rather than an additional independent parameter. …

No Ghost In The Machine: Doubting Ai Ensoulment, Bálint Békefi

Faith and Philosophy: Journal of the Society of Christian Philosophers

No abstract provided.

Cybersecurity Center For Offshore Wind Energy (Final Project Round), Sachin Shetty

Center for Secure and Intelligent Critical Systems (CSICS) Publications

This project establishes a Cybersecurity Center for Offshore Wind Energy with the objective of designing and operating a cyber-physical testbed for wind energy farms (WEFs) that enables comprehensive cybersecurity research. The testbed incorporates a Supervisory Control and Data Acquisition (SCADA) system connected to turbine models via industrial-grade programmable logic controllers (PLCs) and remote terminal units (RTUs). It supports side-channel data acquisition, implementation and analysis of various cyberattack scenarios, and development of attack detection, mitigation, and best-practice guidance tailored to wind energy systems. During the project, the team expanded the number and fidelity of mathematical turbine models (MTMs), integrated these models …

Mouse Alport Podocytes Are Susceptible To Aav9 Transduction In Vivo, Meei-Hua Lin, Kohei Omachi, Joshua F Begin, Jennifer L Richardson, Jeffrey H Miner

2020-Current year OA Pubs

INTRODUCTION: Alport syndrome features a defective glomerular basement membrane (GBM) due to variants in COL4A3, COL4A4, and COL4A5. The most severe forms, which lack the GBM's collagen α3α4α5(IV) network, progress from hematuria in early childhood to proteinuria, chronic kidney disease, and kidney failure by the age of ∼30. As a monogenic disease without specific treatments, and with podocytes being the only glomerular cells that synthesize collagen α3α4α5(IV), the ability to efficiently deliver genes to Alport podocytes could open up new possibilities for treatment.

METHODS: As a proof-of-concept study, we investigated whether podocytes in X-linked Alport mice were susceptible to transduction …

Cgrp Expression And Signaling Sensitization In A Mouse Model Of Chronic Oxaliplatin-Induced Peripheral Neuropathy, Junwei Du, Leland C Sudlow, Margaret H Johnson, Kanishk Satish, Abraham Villagomez, Hongzhen Hu, Mikhail Y Berezin

2020-Current year OA Pubs

Chemotherapy-induced peripheral neuropathy (CIPN) is a frequent and dose-limiting side effect of oxaliplatin treatment, yet its molecular mechanisms remain incompletely understood. Calcitonin gene-related peptide alpha (CGRPα, encoded by

Front Matter

SMU Science and Technology Law Review

No abstract provided.

State Ai Therapy Regulations – Analyzing The Illinois Wellness And Oversight For Psychological Resources Act, Natalie Browne

SMU Science and Technology Law Review

According to the Harvard Business Review, the top use case for generative artificial intelligence (AI) in 2025 was therapy and companionship. Accordingly, numerous “therapy-specific” AI tools have hit the market in recent years, vying to fill this growing need. However, individuals are also turning to generic large language models (LLMs), such as ChatGPT, to express their deepest anxieties, seek reassurance, and gather advice. While tech optimists assert that AI therapy tools will extend mental health treatment in care deserts, attention-grabbing headlines about such use cases have shattered communities and shocked legislatures. To address growing concerns about AI therapy, Illinois enacted …

Participatory Systems Modeling In Implementation Research: Exploring Benefits, Facilitators, And Future Needs, Natalie Riva Smith, Jennifer L Cruz, Jessica Gannon, Stephanie Mazzucca-Ragan

2020-Current year OA Pubs

BACKGROUND: Implementation science increasingly uses participatory systems modeling (PSM) approaches to handle the complexity inherent to implementation science issues. To support the process of integrating PSM with implementation science, we aimed to understand and explicate the benefits, facilitators, and future needs of applying PSM to implementation research.

METHODS: We conducted semi-structured qualitative interviews with 23 researchers (n = 18) and practitioners (n = 5). We purposively sampled participants and identified additional participants through recommendations. Interviews were inductively analyzed. Key concepts were identified via iterative description, comparison, and conceptualization.

RESULTS: Engagement with people in the system was typically focused in earlier …

Beyond Hereditary Xerocytosis: Chronic Hemolysis Due To A Non‑Classic Piezo1 Variant With Sickle Cell Trait As A Potential Modifier, Daniel Üblagger Md, Emily Jacobson, Beamon Agarwal Md, Phd, Jacob Troutman Do

Fellows and Residents

No abstract provided.

Developing A Portable Ultrasound Quick Guide To Enhance Point-Of-Care Training In Primary Care, Gurpreet Bharaj Md, Solomon Saul Do

Fellows and Residents

No abstract provided.

Crisis-Related Digital Media Exposure And Youth Mental Health: A Dose-Response Meta-Analysis, Emmanuel Annor Md, Laticia Womack, Ritu Sidgal, Venkata S. Lokireddy Md, Dhanalakshmi Ramasamy Md

Fellows and Residents

No abstract provided.

Mapping Functional Connectivity In The Pigeon Brain With Wide-Field Optical Imaging, Kathryn C Chenard, Annie R Bice, Seana H Bice, Joseph P Culver, Paula Gerliz, Xavier Helluy, Onur Güntürkün, Jason W Trobaugh, Mehdi Behroozi, Carlos A Botero

2020-Current year OA Pubs

SIGNIFICANCE: Adapting optical imaging technology to avian models can overcome many limitations imposed by functional magnetic resonance imaging (fMRI), which currently restricts the number of species used to study functional connectivity. Developing advanced technology to expand the diversity of species that can be effectively imaged is crucial for addressing significant questions that are currently unreachable, such as understanding the evolution of cognition from a comparative perspective.

AIM: We assessed the potential of optical imaging technology to measure functional connectivity in birds, utilizing pigeons as an avian model. We evaluated whether we could partition the dorsal surface of the pigeon brain …

Discern Magazine Fall 2026 Excerpt About New Faculty Hires, Santa Clara Law

Historical and Topical Legal Documents

No abstract provided.

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, …

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. …

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 …

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’ …

Outcomes Of Allogeneic Ocular Surface Stem Cell Transplantation, Albert Y. Cheung, Natalia Quiroz-Casian, Enrica Sarnicola, Gautam C. Ramanathan, Siddharth Nath, Edward J. Holland

Department of Ophthalmology Faculty Publications

Allogeneic ocular surface stem cell transplantation (OSST) is an established therapeutic approach for limbal stem cell deficiency, utilizing techniques such as keratolimbal allograft (KLAL), living-related conjunctival limbal allograft (lr-CLAL), allogeneic cultivated limbal epithelial transplantation (allo-CLET), and allogeneic simple limbal epithelial transplantation (allo-SLET). This review synthesizes evidence from 35 studies encompassing 1, 268 eyes with at least 24 months of follow-up to evaluate intermediate- and long-term outcomes. Overall, OSST is associated with improvement in visual acuity and restoration of ocular surface stability, although success rates vary widely by technique, ranging from 13% to 87%. Outcomes appear to be influenced by the …

Impact Of Gender-Affirming Hormone Therapy On Dry Eye, Keith E. Arnold, Michael J. Foster, Tomasz A. Tabernacki, Chase A. Turner, Peter A. Netland, Kirtishri Mishra

Department of Ophthalmology Faculty Publications

Purpose

To determine whether gender-affirming hormone therapy (GAHT) influences tear system health in transgender individuals.

Methods

This retrospective cohort observational study analyzed data from transgender men and women ages ≥18-years between 2004 and 2024 via electronic medical record (EMR) data. Following propensity score matching, subjects on hormone therapy included 23,623 transgender men, 15,933 transgender women, and an equal number in each matched control group.

Results

Among transgender men and women, respectively, tear system disorders occurred in 0.90% and 0.94% of those using GAHT and 0.90% and 1.17% of those not using GAHT (p = 0.211, p = 0.072). There was …

Exploring Parent-Child Reminiscing Style And Internal-State Talk When Discussing Positive And Negative Shared Events, Komal Verma Miss.

Theses and Dissertations (Comprehensive)

Conversations between parents and children about past events play a critical role in children’s social, emotional, and cognitive development. Parents scaffold their children in learning to recount details of their autobiographical memories by creating a space to reflect on internal states, specifically emotions and cognitions. Parents with an ‘elaborative’ reminiscing style are responsive to children’s utterances and ask open-ended questions (e.g., What do you remember about...?). Parents who are less ‘elaborative’ typically ask narrow questions like Did you like it?” that do not encourage conversation. Children whose parents use an elaborative reminiscing style have children who produce the most detailed …

Adapting To Uncertainty: Effects Of Environmental Instability On Zebrafish Behaviour, Britney Sekulovski

Theses and Dissertations (Comprehensive)

This thesis addresses how animals cope with unpredictability by testing how environmental stability changes the behaviour of zebrafish (Danio rerio) in two complementary experiments. In Experiment 1, fish lived for three months in either a Dynamic environment (water temperature, feeding times, habitat complexity, group size, and membership fluctuated) or a Stable environment (all factors constant). Across seven behavioural assays, measuring individual behavioural differences, collective movement, social memory, and information use, Dynamic condition fish were found to be more sensitive to social cues and more likely to conform to recent social information, independent of the quality of the information …