Digital Commons Network^™

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.

At The Intersection Of Care: Bridging Systems Through Connection, Advocacy, And Hope, Taylor Defrees

Graduate Student Portfolios, Professional Papers, and Capstone Projects

This Master of Social Work portfolio, At the Intersection of Care: Bridging Systems Through Connection, Advocacy, and Hope, explores the development of an advanced integrated social work practitioner across clinical, organizational, community, research, policy, and leadership settings. Grounded in the Five Elements of Advanced Integrated Practice and social work competencies, the portfolio reflects the integration of knowledge, skills, values, critical self-reflection, and lived experience across micro, mezzo, and macro levels of practice.

Through practicum, coursework, and professional experiences, the portfolio examines trauma-informed and culturally responsive practice, anti-racism, diversity, equity, inclusion, belonging, behavioral health, and the importance of human connection …

Msw Portfolio, Ashley V. Sifuentes

Graduate Student Portfolios, Professional Papers, and Capstone Projects

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

Distributed Vibration Sensing For Identification Of Loose Connectors In Coaxial Data Transmission Lines, Saidanvar Esanjonovich Valiev, Anthony C. Okafor, Jeremiah J. Rittenhouse, Jie Huang, Daniel S. Stutts

Mechanical and Aerospace Engineering Faculty Research & Creative Works

This study investigates the effect of vibration-induced loose connections on signal reflection (S11) for loose connection identification in aerospace coaxial cables using distributed sensing approach, which is effective in filtering the noise and identifying minor discontinuities. In this approach, a sliding gated window is applied to S11 signal, a fast Fourier transform is performed over the gated windows, cross-correlation is computed between the baseline and vibration-affected signals, and the standard deviation is mapped along the cable length. Sinewave signals from 9 kHz to 5 GHz were swept through cables with vibrating connectors under three conditions: fully tightened, loosened by 180°, …

Leveraging Virtual Reality And Haptics To Teach Surgical Skills: A Usability Study On Retropubic Midurethral Slings, Lauren Siff, Ginger S. Watson, Jerome Dixon, Moshe Feldman, Franklin Bost, Philippe J. Giabbanelli

VMASC Publications

Traditional methods to learn soft-tissue surgical procedures rely on cadaver labs or patient-based learning, which are costly and geographically limited, and raise ethical questions. Virtual reality (VR) with haptic feedback offers a scalable alternative, but most current platforms emphasize bone-based rather than soft-tissue procedures learned by feel. We developed a VR+haptic simulation for preoperative training of retropubic midurethral sling (MUS) surgery. This study examines the usability of this platform with thirteen expert urogynecologic surgeons and subsequently makes improvements (e.g., in haptics) to evaluate the platform with twelve trainees based on the NASA Task Load Index for workload and a UTAUT-informed …

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. …

Empowering Through Structured Boundaries: An Integral Model For Fostering Balanced Eating And Nutritional Well-Being, Citrine Elatrash, Colleen Macke, Jenna Shi, Theresa Wilson, Sarah H Elsea, Stephanie Sisley

Faculty, Staff and Students Publications

Purpose: Treating obesity in complex disorders requires individualized health management plans. Effective obesity management in the Smith-Magenis syndrome (SMS) population has multiple inherent barriers related to their cognitive impairments, anxiety, behavioral disturbances, and sleep disorders. However, to date, no research exists related to strategies caregivers successfully employ to help individuals with SMS manage their food intake and mitigate associated behaviors.

Methods: We performed a qualitative thematic analysis of group interviews from 23 caregivers representing 21 individuals with SMS. Hybrid thematic analysis revealed that successful strategies employed by caregivers in this unique population revolved around a global theme of Empowering Through …

Amino Acids And Lean Mass Accretion In Preterm Neonates, Antonio C Ramos Dos Santos, Marta L Fiorotto, Teresa A Davis

Faculty, Staff and Students Publications

Purpose of review: This review evaluates recent evidence on how total protein and energy intake, amino acid composition, and nutrient delivery modality influence protein synthesis in preterm neonates, with the goal of informing nutritional strategies to support optimal lean mass accretion and growth.

Recent findings: Preterm neonates exhibit anabolic resistance to feeding due to impaired insulin and amino acid signaling in skeletal muscle. Enteral nutrition, especially fortified human milk, supports better lean mass accretion and neurodevelopment than parenteral nutrition. Intermittent bolus feeding and pulsatile leucine supplementation during continuous feeding further enhance mTORC1-dependent translation initiation signaling and protein synthesis efficiency in …

Predictors Of Inpatient Rn Turnover In Rural And Urban Vha Hospitals, Katherine G Bay, Chase S Eck, Melissa K Knox, Paras Mehta, Laura A Petersen

Faculty, Staff and Students Publications

Background: The rising demand for health care delivery and an aging workforce is of particular concern in rural areas, where health care access depends upon an adequate nursing workforce. To address this shortage and optimize care, it is essential to measure when registered nurses (RN) leave inpatient direct care positions (ie, inpatient RN turnover) and identify modifiable factors correlated with RN turnover.

Objectives: Apply a novel method for characterizing inpatient RN turnover to understand factors associated with variation in RNs leaving inpatient positions at rural and urban Veterans Health Administration (VHA) hospitals.

Project design: Retrospective cohort study.

Subjects: Direct care …

Social Safety And Social Security: Validating Context-Specific Instruments For Slums, Liss D. Romero, Katherine Palacio, Zacheous Ako Abang, Valeria Silgado, Humberto Llinas, Leidy González, Erika Frydenlund, Daniel Bolivar, Jose J. Padilla

VMASC Publications

Social safety and social security are concepts that help explain a community's well-being by assessing how it manages and mitigate existing, or perceived, risks. However, these terms are often conflated, which can limit understanding, particularly in areas with unstable living conditions. This study explores both concepts in the context of residents living in slums. As the number of displaced people grows, slums and informal settlements are becoming increasingly common worldwide, making it essential to clarify these concepts. Residents of slums face numerous hazards, including crime, violence, inadequate housing, overcrowding, and limited access to essential services. To measure social safety and …

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, …

Distilling The Complexity Of Agent-Based Simulations Into Textual Explanations Via Large Language Models, Noé Y. Flandre, Philippe J. Giabbanelli

VMASC Publications

Communicating the design and results of agent-based models (ABMs) to subject matter experts is challenging, which hinders participation and limits trust in simulation-based decision support. Large language models (LLMs) can communicate ABMs as textual summaries, thus complementing traditional disclosure through statistical and visualization techniques. While prior work translated the structure of conceptual models into narratives via LLMs, our extension covers the dynamics of simulation models via an automated simulation-to-text method that extracts contextual information from NetLogo ABMs, performs repeated simulations, and generates narrative descriptions (including the model’s purpose, parameters, and simulation dynamics) using mutimodal LLMs. Furthermore, four summarization algorithms spanning …

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 …

Chhs Exec Action Ksr 4274, Chhs

Executive Actions

No abstract provided.

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 …

Ksr 3402g, Chhs

Executive Actions

No abstract provided.

Pubh 4175 Hyflex, Chhs

Executive Actions

No abstract provided.

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 …

Age-Related Ultrastructural Differences In The Dorsal Cortex Of The Inferior Colliculus In The Fischer Brown Norway Rat, Kylee M. Tenney, Dakota Smallridge, Gillian Barach, Gurveer Singh, Erin Beskitt, Justine Busby, Syllissa Duncan, Alexa Wawrzyniak, Brenda Vega, Nick Tokar, Andrew Ohl, Jesse Young, Jeffrey Mellott

Williams Honors College, Honors Research Projects

The inferior colliculus is a nucleus in the auditory midbrain that plays an important role in sound and speech processing through how it encodes temporal precision. Temporal precision depends on the balance of inhibition and excitation within the IC. This balance degrades during aging. Age-related changes in synapses have been described in the lemniscal IC as a contributing factor for this imbalance. However, it is unknown if aging affects synapses throughout the non-lemniscal IC in a similar manner. We sought to determine this by examining the dorsal cortex of the IC. The ICd is a non-lemniscal nucleus that is well …

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 …

Equity And Justice In Water Pricing And The Effects On Water Distribution System Management, Brian Barkdoll

Michigan Tech Publications

Equity regarding access to potable water is paramount. Municipal Water Distribution Systems supply potable water to users and are essential to public health. To find the optimal price of water to maximize utility revenue and allow changes to the system components for capital and maintenance expenditures, network modeling was performed for 15 real MDWSs. A new power-law price-usage elasticity curve, entitled the Power Law Elasticity Function (PLEF), was used that allowed for various users, both high- and low-income, and a non-discretionary level of usage. It was found that: (1) the maximum profit was obtained when the price was approximately 0.8 …

Mtl_Tx: A Multi-Task Transformer Model For Improved Radiation Time-Series Estimation, Hongfang Zhang, Adam Stavola, Hal Ferguson, Bence Budavari, Hongyi Wu, Chiman Kwan, Jiang Li

Electrical & Computer Engineering Faculty Publications

Controlling radiation doses at potential radioactive facilities is critical to ensuring the safety of both personnel and the public. At the Thomas Jefferson National Accelerator Facility (JLab), multiple sensors are deployed around the three experimental halls to monitor key parameters, including single-beam current, energy levels, current leakage, and radiation values during accelerator operations. In this study, we developed a Multi-task Transformer model, MTL_TX, to accurately estimate radiation doses at sensor locations based on historical data, with the aim of enhancing safety in accelerator facilities and surrounding public areas. To improve estimation accuracy, we integrated two innovative components into the proposed …

Photobiomodulation Mitigates The Inhibitory Effects Of Pirfenidone On Cancer-Associated Fibroblasts And Their Pro-Tumorigenic Properties: A Cause For Concern, Nima Rastegar-Pouyani, Alireza Nasirpour, Fatemeh Javani Jouni, Hossein Vazini, Ahmad Moshaii

Electrical & Computer Engineering Faculty Publications

Cancer-associated fibroblasts (CAFs) within the tumor microenvironment highly contribute to cancer progression and poor prognosis. Recent findings introduce pirfenidone, a medication for pulmonary fibrosis, as a promising repurposed candidate for inhibiting CAFs. Moreover, photobiomodulation (PBM), or low-level laser therapy, has surfaced as a potential modality against cancer; however, its impact on CAFs is not thoroughly comprehended. The present study scrutinized the effects of PBM, pirfenidone, and PBM+pirfenidone on CAFs, and their consequent impact on cancer cells using the CAF-conditioned media. After treating CAFs with PBM at wavelengths 660 and 980 nm with/without PFD and then culturing cancer cells in the …

Digital Twin Technologies For Battery Systems: Advancements, Applications, And Future Directions, Seyed Saeed Madani, Yasmin Shabeer, Michael Fowler, Satyam Panchal, Carlos Ziebert, Hicham Chaoui, François Allard

Electrical & Computer Engineering Faculty Publications

The relationships among deep learning, edge computing, artificial intelligence (AI), and the most recent advancements in digital twin (DT) technology for battery energy storage systems are discussed in this paper. The study highlights the need for improved cloud-edge coordination, AI model development, and stronger cybersecurity features by demonstrating real-world applications of digital twin technology in electric vehicles (EVs), aircraft, and grid storage. It also described DT-based structures for fault detection, real-time monitoring, and optimization through standardization and battery management system (BMS) fusion. Because DT-based solutions for distributed energy resources (DERs) offer improved energy management systems, various studies have been conducted …

Recent Insight And Perspective Of Marine-Inspired Biopolymers For Wound Healing Applications - A Review, Muhammad Umar Aslam Khan, Saiqa Yousaf, Abdalla Abdal-Hay, Mohd Faizal Bin Abdullah, Sahar Madani, Muhammad Shahzad Zafar, Goran M. Stojanović, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

There is an increasing necessity for advanced, sustainable, and biocompatible materials for wound healing as therapeutic and diagnostic products. Marine environments, characterized by high biodiversity, offer an underutilized source of natural resources with enormous potential for creating novel materials for dressings. This review highlights the revolutionary nature of polymeric biomaterials of marine origin, with a focus on polysaccharides, like alginate, chitosan, and carrageenan; proteins, such as collagen and gelatin. These biopolymers are outstanding in their physicochemical properties, such as biodegradability, bioactivity, and modifiable mechanical strength, which enable their use in wound-healing systems. Besides, these biomaterials may be easily chemically and …

Multimodal Machine Learning For Alzheimer's Disease Classification Using Adni Biomarker Fusion, Hesameddin Mostaghimi, Hamid R. Okhravi, Bahar Niknejad, Daniel A. Cohen, Michel A. Audette, Alzheimer's Disease Neuroimaging Initiative

Electrical & Computer Engineering Faculty Publications

Despite ongoing advances, accurate diagnosis of Alzheimer’s disease (AD) remains challenging due to its multifactorial nature, comorbidities, and clinical heterogeneity. Accordingly, approaches that combine multimodal data may improve AD classification by integrating complementary information. To investigate this, we evaluated classification performance using a preprocessed ADNI-3 dataset comprising a shared set of clinical/cognitive features along with four imaging modality-based cohorts: trimodal (MRI + amyloid PET + tau PET), MRI + amyloid PET, MRI + tau PET, and MRI-only. We trained a range of supervised machine learning (ML) and deep learning (DL) classifiers using stratified five-fold cross-validation and evaluated performance using accuracy, …

Pin-Plane Electrical Discharge Driven By A Mosfet Dc Current Source, Myles Perry, Sidmar Holoman, Daniel Wozniak, Shirshak Kumar Dhali

Electrical & Computer Engineering Faculty Publications

The generation of atmospheric pressure nonequilibrium plasma using electrical discharges is an active area of research due to its significance in a wide spectrum of applications including medicine, combustion, and manufacturing. In our attempt to create a helium plasma jet in a pin-plane discharge with a constant current source, we observed self-pulsating behavior. We present the results of the electrical, optical, and spectroscopic measurements carried out to characterize the discharge. The duration of the discharge is a few tens of nanoseconds, and the repetition rate is in the few tens of kHz. The effect of the gap distance and gas …

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 …