Digital Commons Network^™

Fault Tolerance Of Accelerated Asynchronous Fixed-Point Iterations On Flexible Computing Infrastructure, Evan Coleman, Masha Sosonkina

Electrical & Computer Engineering Faculty Publications

Asynchronous iterative methods tolerate straggling processors by allowing workers to proceed with stale data, but at a cost: the iterates become inconsistent, potentially degrading convergence. We investigate whether convergence accelerators such as Anderson acceleration compensate for this degradation. We experimentally study three fixed-point iterations: the Jacobi method for sparse linear systems, value iteration for the Bellman equation, and the Hartree–Fock self-consistent field (SCF) iteration. The experiments are conducted using a high-performance execution framework, Ray, which abstracts the complexity of distributed systems and enables code parallelization and fault injection with minimal changes.

We establish two main results. First, straggler tolerance is …

Statewide Corridor Evacuation Response And Re-Entry Behaviors In Florida During Hurricane Irma, Xin Wang, Yuan Zhu, Hong Yang, Kun Xie

Electrical & Computer Engineering Faculty Publications

Hurricane Irma stands as one of the most destructive tropical storms to make landfall in the United States, particularly impacting the State of Florida, where it prompted the largest evacuation in history with approximately 7 million residents. The profound consequences of mass evacuation underscore the critical need to understand travel behaviors during hurricane evacuation and the recovery process. This research analyzes statewide evacuation and re-entry patterns, leveraging diverse datasets, including TTMS data from main corridors and GIS data. A statewide corridor-based empirical analysis framework is constructed to characterize evacuation and re-entry response patterns using sensor-based traffic observations. The results show …

Injectable Hydrogels For Bone Regeneration: Mechanical Reinforcement Strategies Using Nanoparticles And Nanofibers: Review Paper, Fariba Ganji, Morteza Mirzagoli, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

Background and Purpose: The growing demand for bone regeneration following severe injuries highlights the importance of scaffolds in bone tissue engineering (BTE). Injectable hydrogels have emerged as promising candidates because their properties closely mimic the native extracellular matrix (ECM). However, their limited mechanical strength and structural instability restrict their practical application. Approach: This review summarizes recent strategies for reinforcing in situ-forming injectable hydrogels to improve their mechanical performance for bone regeneration. Particular emphasis is placed on nanomaterial-based strategies, including the incorporation of nanoparticles and nanofibers, and their ability to enhance the physical properties of polymeric networks. Key Results: Evidence from …

Physics-Informed Temperature Prediction Of Lithium-Ion Batteries Using Decomposition-Enhanced Lstm And Bilstm Models, Seyed Saeed Madani, Yasmin Shabeer, Michael Fowler, Satyam Panchal, Carlos Ziebert, Hicham Chaoui, François Allard

Electrical & Computer Engineering Faculty Publications

Accurately forecasting the operating temperature of lithium-ion batteries (LIBs) is essential for preventing thermal runaway, extending service life, and ensuring the safe operation of electric vehicles and stationary energy-storage systems. This work introduces a unified, physics-informed, and data-driven temperature-prediction framework that integrates mathematically governed preprocessing, electrothermal decomposition, and sequential deep learning architectures. The methodology systematically applies the governing relations to convert raw temperature measurements into trend, seasonal, and residual components, thereby isolating long-term thermal accumulation, reversible entropy-driven oscillations, and irreversible resistive heating. These physically interpretable signatures serve as structured inputs to machine learning and deep learning models trained on temporally …

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 …

An Ethical Analysis Of International Graduate Student Workers' (Igsws) Employment Vulnerability, Adeola F. Oladeji

University of Kentucky Doctoral Dissertations

International graduate student workers (IGSWs) occupy a distinctive position within U.S. higher education as students, employees, and temporary visa holders. Their academic progress, financial support, and legal authorization to remain in the United States are often closely intertwined, creating dependencies that heighten their vulnerability to exploitation, unequal treatment, and institutional power imbalances. Although previous scholarship has documented these challenges from empirical, legal, and policy perspectives, comparatively little attention has been given to universities' ethical responsibilities toward IGSWs.

This dissertation examines how U.S. higher education institutions should fulfill their ethical responsibilities to international graduate student workers. Grounded in Dewey's pattern of …

Embodied, Relational, And Rooted: A Social Work Portfolio, Deneen Pancari

Graduate Student Portfolios, Professional Papers, and Capstone Projects

This portfolio reflects my professional and personal growth over the past three years of the University of Montana!s (UM!s) Online Master of Social Work (MSW) Program and showcases my understanding of advanced social work competencies (University of Montana School of Social Work, n.d.). My background includes yoga facilitation and preschool education, where I developed a strong appreciation for early childhood development and mindfulness. I never imagined how this path would lead me into clinical work in eating disorder recovery, adolescent therapy, and somatic-based interventions, which focus on the connection between the mind and body. My MSW coursework and practicum experiences …

A Guide To Growing Broad: : Expanding The Notion Of Social For Mental Health, Natural Resources, And The Infinite Intersections Of How To Care For The World, Leah D. Nuese-Yaker

Graduate Student Portfolios, Professional Papers, and Capstone Projects

This MSW portfolio narrative examines the expanding boundaries of social work practice at the intersection of human and ecological systems. Organized as a series of interconnected personal essays structured around river metaphors, the portfolio argues that social work's anthropocentric foundations limit the profession's capacity to address contemporary crises of environmental justice, climate change, and ecological health. Drawing on fieldwork in natural resources conflict resolution, wilderness therapy, outdoor education, and climate health advocacy in rural Montana, the author demonstrates competency across all ten CSWE social work practice behaviors while advancing a practice framework that centers relational, embodied, and ecologically grounded intervention. …

Spiritual Ecology For Entanglement: Reshaping Perceptions Through Spirituality, Education, And Enchantment, Hannah M. Bregman

Graduate Student Portfolios, Professional Papers, and Capstone Projects

No abstract provided.

Msw Portfolio, Marcus Chiaretto

Graduate Student Portfolios, Professional Papers, and Capstone Projects

No abstract provided.

A Third Way: An Unlikely Professional Portfolio, Sami C. Pack-Toner

Graduate Student Portfolios, Professional Papers, and Capstone Projects

No abstract provided.

3 Years Of School In 30 Hours, Nicholas Thanh Morrow Nguyen

Graduate Student Portfolios, Professional Papers, and Capstone Projects

The academic, professional, and personal development throughout the Master of Social Work program within the University of Montana demonstrates natural progression when getting a masters degree early in the years of professional development. The portfolio examines how coursework, field practicums, supervision, and critical self-reflection contributes to individual development as a social worker professional. Through these experiences, the portfolio demonstrates the development of knowledge and skills related to ethical practice, advocacy, assessment, intervention, evaluation, research, policy, and leadership. The different practicum experiences provided opportunities to apply concepts learned within the classroom to real-world situations while working with individuals with different needs …

The Golden Rule: An Msw Portfolio Narrative, Russell Jared Jacobs

Graduate Student Portfolios, Professional Papers, and Capstone Projects

The experiences and research behind Russell "Jared" Jacobs' MSW journey that showcases his abilities in the field of social work.

Msw Portfolio, Ashley V. Sifuentes

Graduate Student Portfolios, Professional Papers, and Capstone Projects

Growing into my voice, my journey throughout the MSW program.

A Combined Tomographic Particle Image Velocimetry And Numerical Simulation Approach For Supersonic Wind Tunnel Calibration, Joshua Gary, Josiah Mcdermott, Kyle Worden, Serhat Hosder, Davide Viganò

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Supersonic wind tunnels remain essential tools for high-speed aerodynamics research, yet the characterization of their free-stream conditions remains technically challenging and lacks standardized criteria for defining "good" flow quality. While traditional calibration methods rely on intrusive probes, recent advances in optical diagnostics offer new opportunities for non-intrusive characterization. In this work, we demonstrate a novel use of Tomographic Particle Image Velocimetry (Tomo-PIV), combined with numerical simulations, as a methodology for supersonic wind tunnel calibration. The approach is applied to the recently upgraded Missouri S&T Supersonic Wind Tunnel, where Tomo-PIV measurements reveal uniform flow with low angularity and low turbulent noise …

Tomo-Piv Study Of Baseline Flow Structures Behind A Strut Injector, Josiah Mcdermott, Connor Bell, Davide Viganò

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Stabilizing combustion in scramjet engines is a formidable challenge due to the small-time scales afforded for air-fuel mixing. Numerous studies in this area have demonstrated the potential of strut-style platforms for fuel injection and mixing enhancement, which remains an active area of research. In the Aerodynamics Research Laboratory at Missouri S&T, a strut-style injector system has recently been installed. In this study, we characterize the baseline flow structures behind this platform absent fuel injection. The wake generated by a strut itself has an appreciable impact on the resulting air-fuel mixing, which motivates its characterization. In future studies, this characterization will …

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. …

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 …

Multidimensional Analysis Of Social Discourse On Twitter (X) Around Venezuelan Migration In Columbia, Joseph Martínez, Melissa Miller-Felton, Jose J. Padilla, Erika Frydenlund, Katherine Palacio

VMASC Publications

Colombia has become the principal host of Venezuelan migrants in Latin America, prompting a complex mix of solidarity, anxiety, and discrimination. This study offers a multidimensional analysis of Twitter (now X) discourse on Venezuelan migration in Colombia between 2014 and 2022, using natural language processing, geolocation inference, sentiment analysis, and manual annotation of derogatory terms. Drawing from 7.4 million posts, we examine how online discourse evolves across time, space, and language. While negative sentiment is pronounced in original tweets during periods of political and social unrest, our findings highlight that users tend to amplify neutral and positive messages—over 67% of …

[Abstract For] Bond Pricing Mechanics Beyond Yield-To-Maturity Based Calculations, Maura Alexander, Tom Arnold, Xiu (Summer) Liu

Finance Faculty Publications

Three methods for pricing bonds are presented: using a constant yield to maturity, using the yield curve with discount factors, and using implied forward rates from the yield curve with backward induction.  By moving beyond the first method, more dynamic duration and convexity analyses emerge.  Further, logical connections and extensions are made in regard to pricing bonds with embedded options, the calculation of a swap rate, and the “bond bootstrapping” process for building a yield curve.

Problems And Possibilities Of Namelessness In Late Antiquity And The Early Middle Ages, Jamie Wood, Hope Williard, Máirín Maccarron, Julia Hillner, James R. Burns

Medieval People

No abstract provided.

Toward Neurosymbolic Reinforcement Learning Via Editable Specifications, Vedant Khandelwal, Hong Yung Yip, Amit Sheth

Publications

Reinforcement learning systems are commonly adapted to new settings by retraining or fine-tuning policies. This default is costly, difficult to audit, and poorly aligned with structured requirement changes such as revised safety rules, new operational constraints, or updated user preferences. We argue for an alternative abstraction: adaptation via edits to an external, human-readable specification that the agent consults at execution time. We propose conditioning decision-making on an editable knowledge graph encoding (i) rules capturing action applicability and high-level effects, (ii) hard constraints defining feasibility, and (iii) soft preferences shaping tradeoffs among feasible behaviors. Requirement changes become graph edits, not policy …

Nanoscale Analysis Of Ssb-Reco Interplay In Ssb Interaction With The Target, Shivkumar Sharma Irukuvajjula, Shaun Filliaux, Yuri L. Lyubchenko

Journal Articles: Pharmaceutical Sciences

Single-stranded DNA-binding protein (SSB) coats single-stranded DNA (ssDNA) and recruits downstream factors, yet this same coating must be cleared for SSB-interacting proteins to bind. RecA is a central protein in homologous recombination, which requires SSB-free ssDNA to load during the process. RecO, a recombination mediator protein, is thought to regulate this handoff, but it has not been shown directly that RecO drives the release of full-length, ssDNA-bound SSB. Using atomic force microscopy, we show that RecO actively displaces full-length wild-type SSB from a defined ssDNA substrate, reducing occupancy from 67% to 29%. Displacement efficiency decreases after deleting the C-terminal tip …

The Impact Of Hot V. Cold Water Immersion On Post-Exercise Recovery, Cameron Moss, Aaron Krukemeyer

Williams Honors College, Honors Research Projects

Muscle recovery following exercise-induced soreness has been the focus of extensive research and debate, with Cold Water Immersion (CWI) and Hot Water Immersion (HWI) emerging as two of the most widely used modalities. The purpose of this study was to compare the effects of CWI and HWI on muscle recovery by determining changes in maximal force production of knee extension, range of motion (ROM) of the hip joint in flexion, extension, and abduction, and subjective muscle soreness using a validated Likert scale. Seven male recreational athletes participated in hot and cold-water immersion, and passive recovery. Despite thorough data collection, the …

Reflective Observations Of Instructional Approaches In Job Coaching: A Personal Perspective On Student-Centered Strategies For Students With Disabilities, Cailey R. Piekarski

Williams Honors College, Honors Research Projects

This project is a reflective case study exploring my personal experiences as a job coach for students with disabilities at Total Education Solutions. The research focuses on my own observations, interpretations, and emotional responses while alternating between student-centered and teacher-directed instructional approaches during workforce readiness sessions. By journaling daily, I will analyze how I perceive student engagement, task completion, and session flow under different coaching styles. The consistent student group, task structure, and session format will allow for focused, qualitative reflection without collecting any student-specific data. The study aims to deepen my understanding of instructional decision-making in real-world coaching settings …

Mitochondrial Genome Of The Indo-Pacific Mesophotic Coral Leptoseris Columna (Scleractinia: Agariciidae) Assembled Using Pacbio Long-Read Sequencing, Nomita Rani Adhikary, Daniel J. Barshis, J. Antonio Baeza

Biological Sciences Faculty Publications

Leptoseris columna, a mesophotic coral species belonging to the family Agariciidae, is distributed throughout the Indo-Pacific region. This species is considered as of "Least concern" by the IUCN, yet, faces multiple local and global stressors. To support conservation plans, this study sequenced and characterized the complete mitochondrial genome of L. columna. The complete mitochondrial genome of Leptoseris columna was assembled using PacBio long-reads with a coverage of 459× per bp. The AT-rich mitochondrial genome of Leptoseris columna is 18,546 bp long and comprises 13 protein-coding genes (PCGs), 2 transfer RNA genes (trnM and trnW), and 2 ribosomal RNA …

Leveraging Cross-Reactivity For Dual Serological Detection Of Closely Related Schistosoma Species, Oyetunde T. Oyeyemi, Lisa M. Shollenberger

Biological Sciences Faculty Publications

Schistosomiasis is a disease of poverty that is highly prevalent in Sub-Saharan African countries. Cross-reacting proteins in Schistosoma mansoni (Sm) and S. haematobium (Sh) have been reported to pose diagnostic challenges. Proteins from these two parasites may help overcome diagnostic limitations caused by cross-reactivity and poor species discrimination in serological assays. The study aims to identify cross-reacting protein markers from S. mansoni and S. haematobium for possible concurrent diagnosis of the two parasites. High-quality protein extracts were prepared from the eggs (soluble egg antigen, SEA) and adult worms (Schistosoma worm antigens preparation, SWAP) of S. haematobium and S. mansoni …

Evaluating The Relationship Between Motor Symptoms And Levodopa Dosage In Parkinson’S Disease, Frank Ferrari

Master's Theses and Doctoral Dissertations

Parkinson’s disease (PD) has a clear lack of dosing guidelines or standard treatment protocols, leaving physicians to develop individualized treatment plans to handle the needs of PD patients. The long-term progressive nature of Parkinson’s requires consistent care and updates to medication regimens. This puts significant strain on the healthcare systems tasked with treating them. With an increasing number of Parkinson’s patients and a plateau of professionals to care for them, patients may soon experience decreased physician availability, longer wait times, and worse quality of life outcomes. This study evaluated the relationship between PD motor symptoms, measured through the MDS-UPDRS Part …

Emotional Labor, Well-Being, And Community Care In Student Conduct Administration, Tiffany M. Shierling, Kelly A. Burlison

College of Education Faculty Publications & Presentations

This explanatory sequential mixed-methods study examined emotional labor, stress, and coping among student conduct administrators (SCAs). SCAs work in emotionally intensive, high-stakes environments that require balancing student development, institutional risk management, and legal compliance. Despite clear parallels to other helping professions, the emotional toll of student conduct work remains underexamined. Grounded in self-compassion theory and resilience theory, this explanatory sequential mixed-methods study examined the emotional labor demands, stressors, and coping strategies experienced by SCAs in higher education. Quantitative (n = 101) findings revealed strong relationships among stress, burnout, and anxiety, while individual self-care practices offered limited protection without institutional support. …

A Living Epidemic: The Persistence Of Tuberculosis In Contemporary Indigenous Alaska, Sharon Kim , ‘26

Senior Theses, Projects, and Awards

No abstract provided.