Digital Commons Network^™

Riluzole As A Dual-Targeted Radiosensitizer For Osteosarcoma: Targeting Tumor Cells And Angiogenic Vasculature To Enhance Single High-Dose Radiotherapy Efficacy, Pooja P. Rao

Dissertations, Theses, and Capstone Projects

Osteosarcoma (OS), the most common primary bone malignancy of children and young adults, is intrinsically radioresistant, and outcomes for patients with unresectable or metastatic disease have not improved in over four decades. Single-dose radiation therapy (SDRT) is a potent modality against radioresistant, highly vascularized sarcomas, but its application in OS is constrained by dose-dependent normal tissue toxicity. Radiosensitizers achieving tumor control at lower doses therefore offer a direct route to widening the therapeutic window. Critically, OS radioresistance is not tumor-cell-autonomous. It emerges from two coordinated compartments: aberrant DNA repair and antioxidant capacity intrinsic to the tumor cell, and a radioprotective, …

Mesoscopic Scaling Of Microwave Transmittance And Disorder-Induced Alignment, Israel Kurtz

Dissertations, Theses, and Capstone Projects

This thesis presents microwave measurements and numerical simulations of wave propagation and transmission through random mesoscopic waveguides. We analyze the scaling of mesoscopic microwave conductance, including departures from Ohm’s law near channel openings, which are frequencies at which new propagating modes enter the system, and the evolution of modal phase alignment within the medium, which leads to the observed diversity of transmission eigenvalues. We extend the transmission matrix formalism to all sample depths using the flux matrix, which relates the flux amplitude within the sample to the incident flux, and decompose the flux at each sample depth into forward- and …

Self-Organized Criticality In Biased Activated Random Walk, Joshua Meisel

Dissertations, Theses, and Capstone Projects

We demonstrate many of the conjectured universality and self-organized criticality (SOC) properties of the interacting particle system Activated Random Walk (ARW) in the setting of one-dimensional biased walks, as formulated for instance in Levine and Silvestri’s 2024 survey. Namely, there exists the same limiting critical state for two finite ARW models, as well as for the infinite model as the density approaches its critical value from below. Many of the desired properties hold, including heavy-tailed avalanches, but spatial correlations decay exponentially fast, a deviation from the SOC paradigm. Nonetheless, the obtained decay rate vanishes with the bias. Since the critical …

Research Priorities For Robust Climate Assessments In The United States, Melissa A. Kenney, Robert E. Kopp, Constantine Samaras, Marina Alberti, Sonia Y. Angell, Jennifer Burney, Colin Cunliff, Elliott T. Gall, J. T. Duffy-Anderson, Multiple Additional Authors

Mechanical and Materials Engineering Faculty Publications and Presentations

Scientific assessments play a critical role in synthesizing evidence to support evidence-based decision-making in many sectors and topics. For climate change, large-scale assessments like the Intergovernmental Panel on Climate Change (IPCC) and the United States (U.S.) National Climate Assessment (NCA) reports help many different users—from national government to local governments, Indigenous Peoples and communities, the private sector, the social sector, and the scientific community itself—navigate the complex field of climate risks, impacts, and integrated solutions. While co-creation with users is essential to developing actionable assessments, this paper lays the groundwork for future processes by identifying many advancing and emerging areas …

Stat 216.50: Introduction To Statistics, Scott Davis

University of Montana Course Syllabi, 2026-2030

No abstract provided.

A Surrogate-Model Methodology For Thermoacoustic Engine Design Using Multilayer Perceptrons, Ángela Alonso-Solórzano, Ana I. Velasco-Fernández, Carmen Iniesta, José Luis Olazagoitia, Jordi Vinolas

Artículos científicos

Thermoacoustic Stirling-like cycle engines offer a compelling solution for converting residual heat into usable energy through the generation of acoustic waves, providing a mechanically simple and environmentally friendly alternative. While recent developments have demonstrated the feasibility of using artificial neural networks for performance prediction, limited research has addressed the effect of training data volume or the experimental validation of these models. This study investigates the use of artificial neural networks to predict the acoustic power delivered to the power extraction branch in thermoacoustic engines operating at low drive ratios, using data generated through DeltaEC (Design Environment for Low-Amplitude Thermoacoustic Energy …

Introducing The Math Narrative Project, Liza Bondurant, Sarah Salisbury, Darolyn Flaggs, Belinda Edwards, Uchenna Miles, Daniel Kaufmann

Publications

Whether you teach calculus to engineering students, algebra to future teachers, or developmental math to first-generation college students, the students in your classroom carry narra- tives about mathematics—about whether they belong, wheth- er it matters, and whether asking for help is safe. You carry narratives too. We authors are mathematics educators who work across university classrooms, secondary schools, and teacher preparation programs in Mississippi, Georgia, Texas, and Pennsylvania. In this piece, we introduce the Math Nar- rative Project (2026), a professional development initiative led by the Branch Alliance for Educator Diversity ([BranchED], n.d.) that we participated in as field testers. …

Capacity Development Priorities For Enduring Biodiversity Conservation: A New Methodology And Evidence From Peru, Katia Nakamura, Jennifer Zavaleta Cheek, Johanna Eklund, Jenny Brooks, Daniel C. Miller

Natural Resource Management Faculty Publications

Capacity development is essential for long-term biodiversity conservation. Yet knowledge of conservation capacity development needs and priorities remains limited, particularly in low- and middle-income countries with high biodiversity and limited institutional capacity. This study addresses this gap by identifying and analyzing the priorities highlighted by conservation professionals in Peru. Using Q-methodology and open-ended surveys, we found three distinct perspectives from 27 conservation professionals working in Peru: strengthening legal enforcement and financing, shifting power to Indigenous Peoples and local communities, and embedding conservation values in public norms. These perspectives reflect fundamentally different theories of change, yet converge in their call for …

Bison Health Network Newsletter, September 2026, Bison Health Network

Bison Health Network News

Newsletter Content:

Updates
Network Demographics
Health Highlight: Parasites (Part 2)

Greennet: Ai-Driven Routing Simulator For Sustainable Internet Energy Optimization, Olta Zagraxha

Theses

Reducing the energy consumption of communication networks while maintaining reliable service is an important challenge in sustainable computing. This capstone presents GreenNet, a simulation and evaluation framework designed to investigate whether energy-aware network control can reduce estimated energy consumption without unacceptable degradation in Quality of Service (QoS). GreenNet combines a graph-based network simulator, configurable traffic scenarios, and a web-based interface for examining network behavior and comparing control strategies. Three approaches are evaluated: an All-On baseline that keeps all links active, a rule-based heuristic that selectively deactivates links, and a hybrid controller based on Proximal Policy Optimization (PPO), whose proposed actions …

Predictive Modeling For Traffic Accident Severity Using Machine Learning, Ahmad Bin Eid

Theses

Road traffic accidents remain a persistent public safety challenge, responsible for over 1.3 million deaths annually according to the World Health Organization. While considerable effort has gone into understanding accident patterns, predicting the severity of an accident before or immediately after it occurs remains a difficult problem — particularly when the underlying data is messy, imbalanced, and largely categorical in nature. This study applies three supervised machine learning classification algorithms — Logistic Regression, Random Forest, and Gradient Boosting — to predict the severity of road traffic accidents using a dataset of 12,316 records collected by the Addis Ababa Sub-city Police …

Individualized Bayesian Inference Identifies Novel Genetic Variants For Parkinson's Disease, Jin Ren, Yasaman J. Soofi, Md Asad Rahman, Qing Lu, Jinling Liu

Engineering Management and Systems Engineering Faculty Research & Creative Works

Parkinson's disease (PD) is a complex neurodegenerative disorder with a significant genetic component. While genome-wide association studies (GWAS) have been instrumental in identifying genetic variants associated with PD, the reliance on large sample sizes and population-level analyses may overlook variants with lower minor allele frequencies or individual-specific relevance. Individualized Bayesian Inference (IBI) offers a promising method to complement GWAS by identifying and prioritizing candidate genetic markers at both the individual and patients-like-me subgroup levels. This study evaluates the application of IBI to PD genetics, using GWAS as a baseline for comparison. We analyzed genetic data from the Fox Insight online …

Identifying Influential Drivers To The Utilization Of Prefabrication On Student Housing At Cal Poly: A Case Study On The Delivery Method, Dominique Giang

Construction Management

As universities experience increasing enrollment and housing shortages, student housing projects require efficient delivery methods capable of meeting strict occupancy deadlines while minimizing disruption to active campus environments. This research investigates the influential drivers behind the utilization of prefabrication on an ongoing student housing project at California Polytechnic State University, San Luis Obispo. The seven-story project consists of 417 student beds and incorporates repetitive layouts and prefabricated building components. Through qualitative interviews with key project stakeholders involved in early decision-making and field execution, the study examines how project objectives, construction constraints, and delivery considerations influenced the decision to implement prefabrication. …

Diverse Pumpkin And Winter Squash Grown In Indiana, Wenjing Guan, Elizabeth Maynard

Purdue Extension Numbered Publications

No abstract provided.

Building Wellbeing Through Nature And Adventure For Justice-Involved Youth, Lewis Kogan, Meagan Ricks, Janna Coulter, Miranda Margetts, Lori Butterfield, Ben Ukoh-Eke

Outcomes and Impact Quarterly

Justice-involved youth often experience elevated levels of stress, mental health challenges, and reduced access to positive developmental opportunities. A nature- and adventure-based youth development program designed to strengthen resilience, self-efficacy, nature-connectedness, and well-being among justice-involved youth was piloted in 2025 to address these challenges. Pilot findings indicated improvements in resilience, self-efficacy, hopefulness, and connectedness to nature.

Youth Gopher Trapping: Benefits For Agriculture And Youth, Melanie Heaton, Kalen Taylor

Outcomes and Impact Quarterly

Utah State University Extension partnered with local government and conservation districts to reduce agricultural losses while creating meaningful opportunities for youth. Over three years, 92 participants removed 3,941 rodents, earned $26,620, and gained practical skills through hands-on conservation work. The program shows how Extension-led partnerships can strengthen agricultural profitability, youth development, and community collaboration at the same time.

Expanding Access To Outdoor Recreation Through Adaptive Trail Riding In Utah, Makenna L. Pahlke

Outcomes and Impact Quarterly

Limited access to outdoor recreation limits opportunities for people with disabilities to enjoy the physical and psychosocial benefits of horseback riding. The Utah State University Equine Experience, an Extension program focused on horses, assessed an adaptive trail riding initiative for participants aged 12 to 40. Findings showed improvements in confidence, self-awareness, engagement, and social connections, highlighting the public benefit of enhancing accessible equine-assisted activities.

Improving Public Perceptions Of Dairy Production Through On-Farm Educational Tours, Drew Swartz, Justin Wyatt Clawson, Jaydee Gunnell, Elise Jenson, Dylan Waldron, Jenna Dyckman

Outcomes and Impact Quarterly

Utah dairy producers identified public perceptions as a top concern. Utah State University Extension partnered with Cache County organizations to offer dairy farm tours. Participants reported increased knowledge, more favorable perceptions, and stronger intentions to engage with agriculture, supporting experiential education as a means to strengthen understanding of dairy production.

Piloting The Strong Bodies Strength Training Program In Utah, Gabriela Murza, Jenna Dyckman, Cris Meier, Emma Parkhurst, Sadie Wilde, Christina Pay, Naomi Brower, Cindy Nelson

Outcomes and Impact Quarterly

Muscle and bone loss occurs as we age, impacting health and independence. We evaluated a pilot 12-week strength training program for older adults in Utah. Participants showed improved fitness metrics and increased confidence. Results demonstrate the program’s effectiveness and public value in expanding access to evidence-based exercise that supports healthy aging.

Human Capital Disclosure And Labor Market Outcomes: Evidence From Regulation S-K, Jung Ho Choi, Dan Li, Daniele Macciocchi

Research Collection School Of Accountancy

We examine the labor market consequences of the 2020 Regulation S-K requiring human capital disclosure in 10K filings. Using large-sample job-level data and a Generative Large Language Model (GLLM), we observe that public firms subject to the regulation increase their disclosure of diversity, equity, and inclusion (DEI) information in job postings relative to a matched sample of large private firms. The increase in job-posting disclosure is more pronounced among firms facing greater external pressure to increase their workforce diversity. These findings suggest a shift in demand for diverse candidates by public firms following the regulation. Yet, consistent with short-term inelastic …

Best Practices For Supporting Occupational Therapy Students With Disabilities During Clinical Education: Results From A Three-Round Delphi Study, Courtney Gohean, Katie Mclaughlin, Aster Harrison

Department of Occupational Therapy Faculty Papers

INTRODUCTION: Disabled occupational therapy students face systemic barriers in clinical education. Although legal mandates require reasonable accommodations, implementation is often inconsistent, and few standardized guidelines exist for fieldwork education. This study is aimed at establishing best practices for supporting occupational therapy and occupational therapy assistant students with disabilities during fieldwork.

MATERIALS AND METHODS: A three-round Delphi study was conducted with a panel of 30 experts, including disabled occupational therapy students, disabled occupational therapy practitioners, academic fieldwork coordinators (AFWCs), fieldwork educators (FWEs), disability services staff, and researchers. In Round 1, participants answered open-ended questions about challenges, accommodations, and environmental supports. Responses …

Comparing Perceptions Sensitivity, Specificity And Practicality Of Pico Versus Spider Questions In Nurse Residents’ Literature Searches, Hannah Taylor, Kate Campbell

MaineHealth Maine Medical Center

Research Question: Does the mnemonic SPIDER generate greater perceptions of specificity, sensitivity, and practicality as a literature search strategy for new graduate nurses in a nurse residency program compared to the mnemonic PICO.

Prosecutorial Guidance And Non-Prosecution Policies: A Pragmatic Path Forward For Ai In Legal Services, Jessica Bednarz, Ericka Byram, Kelli M. Raker, Jeff Ward

Duke Center on Law & Technology

No abstract provided.

The Impact Of Gun Control Policies On Firearm-Related Deaths: A Two Decade State-By-Year Analysis, Rabana Tajrin

Dissertations, Theses, and Capstone Projects

This report analyzed firearm-related deaths rates in the United States at the state level over a two decade period between 2000 to 2019. The study used a state-by-year analytical framework created from the U.S. Gun Deaths by County, 1999–2019 dataset (Eltom, 2019) in order to examine national trends, state-level differences, changes over time, geographic concentration, and regional variation. The analysis focused on firearm-related deaths by adjusting for population size differences (i.e., the crude firearm-related death rate) across U.S. states from 2000 to 2019. These analyses indicated that firearm-related deaths increased nationally during the study period. Total firearm-related deaths rose from …

Cognitive-Affective And Somatic Depressive Symptom Domains Related To Psychological Mechanisms And Sociodemographic Factors, Danielle B. Hazeltine

Dissertations, Theses, and Capstone Projects

Major depressive disorder is prevalent, chronic, and heterogeneous, including cognitive- affective (e.g., maladaptive beliefs or thinking patterns and sad mood) and somatic (e.g., fatigue, appetite, or sleep changes) symptom domains. While depression domains have been long theorized, research examining psychological mechanisms underlying this distinction is limited. Preliminary research suggests cognitive-affective symptoms relate more strongly to cognitive mechanisms (cognitive bias, perseverative thought), somatic symptoms relate more strongly to behavioral mechanisms (behavioral inhibition/activation), and gender, race, and ethnicity moderate these relationships. This study examined whether cognitive-affective and somatic symptom domains differentially relate to cognitive and behavioral mechanisms, and whether these relationships are …

Authoritarianism, Hostility And Threat: An Analysis Of American Political Podcasts Surrounding The 2024 Presidential Election, Noah D. Cohen

Dissertations, Theses, and Capstone Projects

Political rhetoric surrounding key events has seen sharp increases in emotionally affective speech, intergroup sentiment, and rhetoric unbecoming of democratic societies in recent years. Similarly, semi-democratic and ideologically driven speech has become increasingly normalized within an era of political polarization and hardline beliefs in modern media. Within this economy of outrage, sensational and largely unmoderated media formats, particularly podcasts, have become a mainstay of political information and discourse. This raises an important question: how does rhetoric surrounding political events construct intergroup sentiment and authoritarian rhetoric within political media, particularly American political podcasts? Further, given political podcasts’ growing social influence in …

The Cranial Nerves And Electrical Stimulation, Devin K. P. Adair

Dissertations, Theses, and Capstone Projects

Cranial nerves provide afferent pathways that enable bottom-up modulation of central autonomic and cognitive neural pathways. Because these pathways project to brainstem nuclei such as the nucleus tractus solitarius and engage neuromodulatory systems, including the locus coeruleus, electrical stimulation offers a mechanistically grounded approach to influencing brain function. This thesis tested whether active transcutaneous auricular vagus nerve stimulation (taVNS) produces physiological responses indicative of parasympathetic engagement, defined as decreases in heart rate, increases in heart rate variability, and decreases in respiration relative to a dose-matched earlobe control condition. Using cardiac and respiratory measures as physiological markers, taVNS at the tragus …

Powering Tomorrow: Does Financial Development Induce Renewable Energy Consumption In Brics+ Nations?, Firlana Abidin, Abdul Khaliq

Bulletin of Monetary Economics and Banking

This paper analyzes the influence of financial development on the implementation of renewable energy in BRICS+ nations, addressing both short-term and long-term implications. The empirical research utilizes Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL models, analyzing data from 1992 to 2021 for ten BRICS+ nations, while accounting for essential economic variables such as Foreign Direct Investment and inflation rate. The results demonstrate that financial institutions and markets influence renewable energy adoption, with different significance in the short and long term. The empirical findings highlight the importance of comprehending how financial development can aid countries in transitioning to cleaner energy, especially …

Fiscal Decentralization, Local Government Size, And Regional Economic Growth: Evidence From Indonesia, Faizul Mubarok, Hasta Dwi Pradana, Etty Puji Lestari

Bulletin of Monetary Economics and Banking

This study investigates the dynamic relationship between fiscal decentralization, local government size, and regional economic growth in Indonesia. Integrating fiscal federalism theory with the Armey curve framework, the study examines whether decentralization reshapes the scale of subnational governments and how this influences growth outcomes. Using balanced panel data from 26 Indonesian provinces over the period 1995–2020, the analysis employs dynamic panel estimators based on the Generalized Method of Moments (GMM) to address endogeneity, persistence, and unobserved heterogeneity. The results reveal a nuanced relationship between fiscal decentralization and government size. Greater revenue autonomy is associated with a contraction in government size …

Affordable Thermal Control For Cell Culture Chambers: An Open-Source, Pid-Based Heating Module, Majid Rostami, Sesha Sai Ramineni, Sangyoon J. Han

Michigan Tech Publications

Commercial environmental control systems for live cell imaging chambers frequently cost $10,000–20,000. This paper presents an open-source, PID-controlled heating module built entirely from off-the-shelf components for approximately $500. The system employs four adhesively mounted polyimide heater pads driven at 12 VDC through a closed-loop chain: a K-type thermocouple feeds a Delta DTB4848LV controller, whose analog output is converted to PWM and applied to the heaters via an opto-isolated MOSFET switch. The required heating power was determined through analytical thermal sizing and verified by finite-element simulation (ANSYS Mechanical), confirming that the cell culture region reaches 37°C at steady state. Bench testing …