Digital Commons Network^™

2025 Tennessee External Quality Review Technical Report, Tennessee. Division Of Tenncare.

TennCare Additional Reports

No abstract provided.

Trail To Classroom: Digitizing Rocky Mountain Landscapes With 360 Video, Hanna Fontes

SACAD: Scholarly Activities

Immersive media technologies are increasingly used in science education, yet they are often positioned as tools for passive observation rather than relational engagement. This qualitative study examines the use of 360-degree video as a relational, place-based pedagogical tool in learning. Using immersive landscape recordings from Rocky Mountain National Park, this research explores how 360-degree video can support student connection, empathy, and a sense of belonging to place. Learning activities were designed to prompt sensory observation, reflection, and meaning-making, encouraging students to engage emotionally and cognitively with the landscape rather than viewing it as a detached object of study. Data sources …

Beneath The Northern Sky: A Family’S Story Of Faith, Work, And Loss In 19th Century East Friesland. A Generational Narrative For Descendants Of East Frisian Immigrants., Derek M. Heeren

Genealogy Resources

Beneath the Northern Sky traces the quiet endurance of one East Frisian family as they live, labor, and worship along the lowlands of northwest Germany in the early nineteenth century. At the center of the story stands Wessel Heeren, a farmer and shipmaster whose days move between the ledgers of the farm, the rhythms of the Gulfhaus, and the waterways that connect his village to the wider world for trade. Alongside his wife Foske and their growing family, Wessel navigates a life defined by faithful attention to land, to kin, to church, and to a tradition of self-governance known …

On Signifiable Computability: Part Iii: A Note On Unnameable Functions On Natural Numbers, Vladimir A. Kulyukin

Computer Science Faculty and Staff Publications

A writing system 𝔚 on an alphabet 𝒜 is a tuple (ℜ,𝔐), where ℜ is a finite set of text formation rules and 𝔐 is a finite rule application mechanism that generates texts on 𝒜. A natural writing system forms natural language texts on an alphabet such as Sanskrit on Devanagari. An artificial writing system generates formal language texts on an alphabet such as Lisp on Unicode. Let ℕ ={0,1,2,…} be the set of natural numbers. A function on natural numbers 𝑓 :ℕ^𝑘 ↦ ℕ, 0 < 𝑘 ∈ ℕ, is nameable by a writing system on an alphabet if, and only if, the system can generate a text on the alphabet that names f and no other function. We show that there exist functions on natural numbers unnameable in principle in that they cannot be named by any writing system on any alphabet. Our results imply the following computability-theoretic hierarchy of functions on natural numbers: computable ⊊ partially computable ⊊ nameable ⊊ 𝔉, where 𝔉 is the set of functions on ℕ.

Ten-Year Pathology-Based Cancer Registry At A Tertiary Referral Hospital In Kenya (2015–2024): Distribution Of Cancers And Completeness Of Pathology Reporting, Brian Ayara, Samuel Mukono, Rodney Adam, Shahin Sayed

Pathology, East Africa

Background Population-based cancer registries remain limited in low- and middle-income countries (LMICs). In Kenya, their coverage is below the 20% threshold recommended by the International Agency for Research on Cancer. Pathology-based registries can provide complementary data in such contexts. This study describes the distribution of cancers diagnosed at a tertiary referral hospital in Nairobi over ten years, and evaluates the completeness of pathology reporting for selected cancers using College of American Pathologists (CAP) protocols.

Methods We conducted a retrospective review of all histologically confirmed cancers at the Aga Khan University Hospital, Nairobi, from 2015 to 2024. Data were extracted from …

Benefits, Challenges, And The Way Forward: Medical Specialists' Perception On Family Physician Integration In Healthcare System In Tanzania, Juvenalius Anselm, Roselyter Riang’A, Neelam Ismail, Davis Rubagumya, Jesca Munishi, Sumayyah Saudin, Lynn Moshi, Willbroad Kyejo, Nancy Matillya

Family Medicine, East Africa

Background Family medicine provides comprehensive care by integrating biomedical, behavioral, and social sciences. While established in some sub-Saharan countries, it remains new and unintegrated in Tanzania’s public health system. Its integration is vital for healthcare reform to enhance patient care and system quality.This study aimed to understand the perceptions of medical specialists regarding the integration of family physicians into the Tanzanian healthcare system.

Methods A descriptive qualitative study was conducted through in-depth interviews with ten medical specialists from Aga Khan Hospital and Muhimbili National Hospital in Dar es Salaam. Thematic analysis was employed in this study.

Results Integration of family …

Mental Wellbeing Of Family Caregivers Of People Living With Mental Illness In Kenya: Who Cares? A Cross-Sectional Study, Norah Obungu, Fleur Meijer, Stanley Luchters

Family Medicine, East Africa

Background Although about 60% of patients with chronic mental health disorders in sub-Saharan Africa live with their relatives, burden amongst family caregivers has not been studied much. The aim of this study was to evaluate the prevalence and factors associated with caregiver burden among family caregivers of patients with chronic mental illness attending two psychiatric care facilities in Nairobi, Kenya.

Methods A cross-sectional study was conducted among 284 systematically sampled participants who completed a socio-demographic questionnaire and the Zarit Burden Interview. Moderate to severe burden was defined as a ZBI score > 41. Independent associations were examined using bivariable and multivariable …

In Vitro Pharmacological Evaluation Of Novel Cmpi Derivatives As Selective Positive Allosteric Modulators Of The Alpha4 Beta2 Nicotinic Acetylcholine Receptor, Josue Gaona, Nataly Sanchez, Wilder Felix, Nathalia Menegasso, Brisa Cea, Ganesh Thakur, Ayman K. Hamouda

School of Medicine Student Publications and Presentations

Nicotinic acetylcholine receptors (nAChRs) contribute to the pathogenesis of neurodegenerative diseases such as Parkinson’s disease (PD), where degeneration of dopaminergic and cholinergic neurons disrupts neurotransmission. The (α4)₃(β2)₂ nAChR subtype is expressed on affected neuronal populations and represents a promising therapeutic target. Positive allosteric modulators (PAMs) may enhance receptor function while preserving endogenous signaling. We evaluated chemical derivatives of CMPI [3-(2-chlorophenyl)-5-(5-methyl-1-(piperidin-4-yl)-1H-pyrazol-4-yl)isoxazol] as selective PAMs of (α4)₃(β2)₂ nAChRs. Two-electrode voltage-clamp recordings were performed in Xenopus laevis oocytes expressing defined receptor stoichiometries to assess potentiation and generate dose–response curves. Cytotoxicity was assessed in HEK cells using the MTT assay. Substitutions at the pyrazole …

Johnson–Lindenstrauss Projections As Architectural Components In Deep Neural Networks, Charles Q. Ray

Master's Theses

Modern deep neural networks are heavily overparameterized, with learned representations occupying lower-dimensional subspaces than their ambient dimensions suggest. This thesis investigates whether fixed random Johnson-Lindenstrauss (JL) projections can exploit this redundancy by functioning as architectural bottlenecks that reduce model size and training cost while preserving task performance.

We systematically evaluate JL-based compression across multiple architectures (convolutional networks, multilayer perceptrons, vision transformers, autoregressive language models) and tasks (reconstruction, classification, language modeling). Experiments reveal that compression tolerance depends critically on placement strategy and compression ratio.

Linear probe analysis quantifies intrinsic dimensionality at different network depths, revealing that CIFAR-10 final representations require only …

Using Ensemble Disagreement To Stabilize Conformal Prediction Under Distribution Shift, Patrick D. Murphy

Master's Theses

Semantic segmentation of eelgrass from drone imagery is crucial for coastal habitat monitoring, restoration, and management, as these habitats continue to see rapid changes due to climate change and human influence. However, the reliability of generalizing a deployed classification model relies on both high-accuracy segmentation as well as robust uncertainty quantification that holds up when conditions change over years or locations. Conformal prediction (CP) is a method that converts a classifier's output into prediction sets with a guaranteed average coverage level for in-distribution data. However, the “vanilla” conformal score can often under-cover in hard or out-of-distribution (OOD) regions under drift. …

Mechanistic Framework Of Wood Decomposition In Post-Storm Vegetative Debris Piles Using Continuous Quality Theory, Thomas T. Lee

Master's Theses

Storm events generate significant quantities of vegetative debris composed of wood, branches, twigs, and other organic materials. Efficient post-storm resource recovery and carbon accounting depend on reliable predictions of decomposition within these large, heterogeneous debris piles. While small-scale wood decay is well studied, decomposition dynamics within multi-layer debris piles remain poorly characterized, limiting municipalities' ability to estimate material longevity and resource recovery potential.

To address this gap, this study develops the WOOD_DK (Wood Organic Oxidation and DegraDation Kinetics) model, a preliminary, exploratory one-dimensional multilayer decomposition framework simulating coupled temperature, moisture, oxygen, and carbon dynamics in MATLAB. Microbial decomposition follows Continuous …

Neurosymbolic Counterpoint Generation, Paul D. Jarski

Master's Theses

Recent advancements in generative artificial intelligence have revolutionized music generation, yet research has predominantly focused on raw audio synthesis over music in symbolic form, i.e. a score. This thesis presents the first neurosymbolic model designed to generate imitative Renaissance counterpoint in symbolic (MIDI) format. By leveraging an autoregressive Transformer architecture, this research explores the capacity of deep learning models to manage independent voices and strict stylistic constraints.

We compare multiple data representation strategies with distinct tokenization methods. The proposed model incorporates a symbolic component that enforces fundamental contrapuntal rules. Additionally, this thesis contributes a preprocessed dataset of Renaissance polyphony, in …

A Simulation Framework For Edge Lane Roads And Bicycle Shared Roadways, Nick Sauciur

Master's Theses

Edge Lane Roads, also referred to as Advisory Bike Lanes, are a shared roadway treatment that designates space for cyclists while allowing flexible use of the roadway by motorists. They are commonly applied on lower speed corridors and can be used both where roadway width is limited and where agencies seek to manage vehicle speeds, clarify cyclist positioning, or improve shared roadway operations. The configuration provides visually designated space for cyclists while allowing motorists to encroach into that space when yielding to opposing traffic. Although interest in these facilities is growing in North America, quantitative tools for evaluating their operational …

Single-Nucleus Transcriptomics, Pharmacokinetics, And Pharmacodynamics Of Cdk4/6 And Mtor Inhibition In A Phase 0/1 Trial Of Recurrent High-Grade Glioma., Kevin C Johnson, An-Chi Tien, Jun Jiang, James Mcnamara, Yu-Wei Chang, Chelsea Montgomery, Anita Desantis, Leonel Elena-Sanchez, Yoko Fujita, Seongho Kim, Avishay Spitzer, Paul Gabriel, William F Flynn, Elise T Courtois, Amy Hong, Jocelyn Harmon, Yoshie Umemura, Artak Tovmasyan, Jing Li, Shwetal Mehta, Roel G W Verhaak, Nader Sanai

Faculty Research 2026

BACKGROUND: Outcomes for adult patients with high-grade glioma (HGG) remain poor, necessitating new treatment strategies. Key challenges include poor drug penetration in the brain and malignant cell state plasticity. Phase 0 studies identify agents that achieve target modulation through pharmacologically relevant brain concentrations.

METHODS: A Phase 0/1 clinical trial combined the 2 targeted inhibitors ribociclib (CDK4/6 inhibitor) and everolimus (mTOR inhibitor) in recurrent HGG patients, aiming to identify brain-penetrant combinations and assess their impact on malignant cell states. We enrolled 24 patients with recurrent HGG, characterized by CDKN2A/B deletion or CDK4/6 amplification, PTEN loss or PIK3CA mutations, and wildtype retinoblastoma …

Conditional Stat2 Knockout Mice As A Platform For Modeling Human Diseases., Tess Cremers, Nataliya Miz, Alexandra Afanassiev, Ling Yang, Kevin P Kotredes, Ana M Gamero

Faculty Research 2026

Signal transducer and activator of transcription 2 (STAT2) is a key component of the type I interferon (IFN-I/III) signaling pathway, which is pivotal in host defense against cancer and viral infections and in shaping immune responses. Building on our previously reported conditional Stat2 knockout (KO) mouse, we expand its utility by validating additional tissue- specific models and exploring novel functional contexts. Mice carrying loxP-flanked Stat2 alleles were crossed with CMV-Cre, Cdx2-Cre or CD11c-Cre mice. Deletion of STAT2 was validated by PCR genotyping and western blotting in the relevant tissues. To confirm defec- tive IFN-I signaling with STAT2 deletion, IFN-β stimulation …

Prevalence Of, Edison Liu, Margaret Antonio, Tracy Nance, Francesca Menghi

Faculty Research 2026

Purpose

Methods

Improving Gene Isoform Quantification With Miniquant., Haoran Li, Dingjie Wang, Qi Gao, Puwen Tan, Yunhao Wang, Xiaoyu Cai, Aifu Li, Yue Zhao, Andrew L Thurman, Seyed Amir Malekpour, Ying Zhang, Roberta Sala, Andrea Cipriano, Chia-Lin Wei, Vittorio Sebastiano, Chi Song, Nancy R Zhang, Kin Fai Au

Faculty Research 2026

RNA sequencing has been widely applied for gene isoform quantification, but limitations exist in quantifying isoforms of complex genes accurately, especially for short reads. Here we identify genes that are difficult to quantify accurately with short reads and illustrate the information benefit of using long reads to quantify these regions. We present miniQuant, which ranks genes with quantification errors caused by the ambiguity of read alignments and integrates the complementary strengths of long reads and short reads with optimal combination in a gene- and data-specific manner to achieve more accurate quantification. These results are supported by rigorous mathematical proofs, validated …

Meta-Analysis Of Genetic Mapping Studies In Mice Reveals Candidate Epilepsy Modifier Genes That Are Outside The Current Drug Development Landscape., Giovanna L Durante, Anna L. Tyler, Rod C Scott, Amanda E Hernan, J Matthew Mahoney

Faculty Research 2026

OBJECTIVE: Despite decades of development in anti-seizure medications, ~30% of individuals remain refractory to all treatments, and none of the existing therapies are disease modifying. Identifying targets outside the current preclinical paradigm is critically important. This study aimed to characterize the landscape of current epilepsy treatments at the level of gene interaction networks and identify novel genetic modifiers of epilepsy as potential novel therapeutic targets.

METHODS: We performed a functional network analysis to score genes based on their interactions with known epilepsy genes, and we integrated these functional scores with population genetics data and drug tractability information. In parallel, we …

Beyond Artifacts And Fossils: Exploring The Contributions And Socioeconomic Impacts Of Montana’S Museums And Paleontological Tourism, Emma Keinath-Lopez, Elena Bigart, Glenna Hartman, Kara Grau, Ava Worbets, Melissa Weddell

Institute for Tourism and Recreation Research Publications

This study explores how Montana’s museums, including those along the Montana Dinosaur Trail, influence communities, economies, and visitor experiences in a post-pandemic environment. Through mixed methods—511 visitor surveys at 44 museums and 18 interviews with museum professionals— this research provides a holistic understanding of museum operations, visitor motivations, and community impacts.

An Exploratory Bayesian Network Analysis Of Weight And Feeding Outcomes In 6-Month-Old Infants With Complex Congenital Heart Disease, Amy Delaney, Mary Taylor, Julie Ann Lavoie, Roger Brown, Karen Pridhame

Speech Pathology and Audiology Faculty Research and Publications

Purpose: We aimed to explore with a Bayesian network how clinically important factors related to feeding infants with complex congenital heart disease (CCHD) are associated with each other and influence feeding outcomes. Our goal was to raise questions for further study.

Method: This descriptive study included data from 19 infants on severity of neonatal illness, early oral-motor (OM) and swallowing skills, feeding patterns, liquid and solid intake, and weight-for-age at 2 and 6 months. Bayesian network analysis was used to estimate the conditional probabilities of these variables in relation to each other and predict the 6-month weight-for-age z score and …

Levers Of Default: Can The President Unilaterally Alter The Terms Of The National Debt?, Lev E. Breydo, Nathan B. Oman

Faculty Publications

The inviolability of America’s $30 trillion debt is a cornerstone of global markets and the U.S. economy. This Essay identifies a critical loophole: the President’s underappreciated power to dramatically change its legal structure—and argues that Congress should act to prevent a potential catastrophe.

The Essay details, for the first time in the literature, the arcane legal architecture underpinning America’s sovereign borrowings. Our analysis finds that although the President lacks authority to change the terms of outstanding debt retroactively, the President can accomplish similar goals by issuing new debt instruments that embed unprecedented powers. In surprisingly short order, a determined Executive …

Ai Agent For Healthcare Education, Sudhanshu Tarale

Shelby Hall Graduate Research Forum Presentations

No abstract provided.

A Unified Methodological Framework For Generating Digital Twins Of Multi Class Uncrewed Systems (Uxs), Sai Raghava Pathuri

Shelby Hall Graduate Research Forum Presentations

No abstract provided.

Detecting Bitstream-Level Fpga Trojans With An Snn, Kylie Arnett

Shelby Hall Graduate Research Forum Presentations

Limited research has been conducted on SNNs for FPGA Trojan detection. FPGA design is often handled by manufacturers outside the U.S. FPGA manufactures outsource production to third-party foundries. This multi-step process introduces security vulnerabilities and increases risk of Hardware Trojan insertion.

Key Questions: To what extent can an FPGA be manipulated at the bitstream level to enable or disable encryption algorithms?

Can SNNs accurately detect the presence of Trojans within an FPGA?

Eeg Features And Rotterdam Head Ct Score Predict Early Favorable Outcome In Pediatric Severe Tbi, Xuexin Lu

Presentations

INTRODUCTION Accurate prognostication after pediatric severe TBI (sTBI) remains challenging. We examined the utility of continuous EEG (cEEG) and Rotterdam head CT score in predicting short-term favorable outcome. METHODS 7-yr (01/2018-12/2024) retrospective study of children aged 1.5-18 yrs admitted to our PICU with sTBI and receiving cEEG monitoring per institutional protocol. Early favorable outcome was defined as Pediatric Cerebral Performance Category scale 1-3 at PICU discharge. cEEG features (background, sleep architecture, reactivity, and seizure) during the 1st 12-hrs of monitoring and initial Rotterdam head CT scores were recorded. Demographics, GCS score, pupillary reactivity, injury severity score (ISS), clinical seizure, cardiac …

Bridging The Distance: Expanding Access To Mental Health Services In School, Griffin Gallagher, Arayah St John, Kaylie Svir

Master of Social Work Student Policy Advocacy Briefs

All students should have equitable access to mental health services in schools. In Minnesota, there has been an 11% increase in students experiencing long-term mental health challenges since 2016, and only 1 in 5 students receive the assistance they need. Students are experiencing a lack of access to mental health services in schools due to barriers of cost, transportation, shortage of support staff, and stigma. When mental health services are not provided in schools, this results in a decrease in school attendance, higher dropout rates, and negative school environments, affecting the long-term outcomes and needs of the child. Mental health …

Housing After Recovery: Expanding Access For Justice-Involved Individuals, Calvin Parzych, Melinda Gillen, Juliet Worayewaa, Mikayla Witter

Master of Social Work Student Policy Advocacy Briefs

Every human being deserves access to safe, stable housing, especially individuals in recovery from substance use disorders. These individuals face significant barriers to stable housing, especially when their criminal records are considered by landlords. This can pose a risk to potential relapse, homelessness, and overall struggle to maintain recovery. Addressing housing discrimination for all members of society, especially justice-involved individuals, can aid in resolving public health and social justice issues that continue to be a long-standing problem.

March 2026 Library News, University Libraries

Library News

No abstract provided.

Bankrupt Crypto Organizations, Kara Bruce, Christopher K. Odinet, Andrea Tosato

North Carolina Law Review

No abstract provided.

When You're Just Not "Indian" Enough: The Erosion Of Tribal Sovereignty In State V. Nobles And The Case For Deference To Tribes On Questions Of Indian Status, Daniel G. Sullivan

North Carolina Law Review

No abstract provided.