Digital Commons Network^™

Artificial Light At Night Can Worsen Competitive Outcomes Between Native And Invasive Grasses, Shannon M. Murphy, Kylee Grenis, Anna A. Sher

Biological Sciences: Faculty Scholarship

Artificial light at night (ALAN) is an important global disturbance that affects community dynamics, but how it affects species interactions, such as competition, is not well understood and needs investigation. In plant communities, some exotic-invasive plant species seem to be facilitated by ALAN, which may alter competitive outcomes with native plant communities and promote invasion. Despite these intriguing results, whether ALAN affects competitive outcomes between native and invasive species is understudied. Here we tested how ALAN affects competitive outcomes between two native prairie grasses and two grasses that are exotic-invasive in North America. We planted each native species with a …

Tumor-Informed Minimal Residual Disease Testing In Select Solid Tumors And Hematologic Malignancies: A Narrative Review, Humza Mallick, Marcus Yoakam, Varun Karri, Samir Dalia

Student Publications

Tumor-informed circulating tumor DNA assays detect patient-specific cancer mutations in plasma and hold promise for detecting minimal residual disease (MRD) after or during definitive therapy. Recent large studies across solid tumors and hematologic malignancies suggest that tumor-informed MRD (TI-MRD) is strongly prognostic for relapse and survival. We reviewed disease evidence for these claims, as well as the potential utility in guiding therapeutic decisions. TI-MRD assays consistently achieved high analytical sensitivity. In solid tumors (colorectal cancer [CRC], non-small-cell lung cancer, breast cancer, and bladder cancer), multiple studies demonstrated that post-treatment MRD positivity conferred markedly worse recurrence-free and overall survival. TI-MRD positivity …

Network Construction Using Sparse Gaussian Graphical Model Based On Gwas Summary Statistics, Megh Subedi, Xuewei Cao, Byung-Jun Kim, Qiuying Sha

Michigan Tech Publications

In genome-wide association studies (GWAS), thousands of genetic variants are tested to identify their associations with a phenotype. GWAS have identified many strongly associated genetic variants with phenotypes and have greatly enhanced our understanding of the genetic architecture of complex phenotypes and diseases. Joint analysis of multiple phenotypes can increase the overall statistical power to detect genetic associations and allows for the identification of pleiotropic loci. A phenotype-phenotype network (PPN) represents phenotypes as nodes and the relationships between them as edges, which allows for the visualization of complex relationships between phenotypes, making it easier to identify clusters and helps us …

Control And Thermodynamics Of Superconducting Qubits With Non-Hermitian Dynamics, Serra Erdamar

McKelvey School of Engineering Graduate Student Theses & Dissertations

As quantum systems are understood better from a fundamental physics perspective, we are gaining more insight and ideas for their many applications. Among them are quantum computation, sensing, and materials. Some difficulties that have been encountered are short lifetimes and coupling to unwanted modes while attempting to control these systems, resulting in error propagation. Previously, physicists have pursued Hermitian descriptions of systems to preserve unitary evolution and real-valued measurements. However, non-Hermitian systems not only provide a realistic description of physical systems within larger environments, but also a rich topological landscape from their complex energy spectrum. In this thesis, we will …

A Generative Ai Teaching Assistant For Personalized Learning In Medical Education, Thomas Thesen, Soo Hwan Park

Dartmouth Scholarship

Medical education faces a scalability crisis, where rising class sizes strain individualized instruction, while students increasingly adopt unvalidated Generative AI (GenAI) tools for individualized learning support. This study investigated how medical students integrate constrained GenAI systems into their self-directed learning practices using Retrieval-Augmented Generation (RAG), which limits large language model responses to instructor-curated materials, thereby reducing hallucinations while maintaining pedagogical utility. We deployed a RAG-based teaching assistant in a medical school basic science course across two consecutive cohorts, examining usage patterns, conversation content, and student feedback to understand adoption and learning behaviors. Students demonstrated strategic, context-dependent usage, with engagement intensifying …

Use And Outcomes Of The Medical Hybrid Procedure For Stage 1 Palliation In Infants With Hypoplastic Left Heart Syndrome And Variants., Daniel N. Beauchamp, Christopher J. Statile, Huaiyu Zang, David A. Parra, Justin Godown, Natalie Jayaram, Matthew L. Moehlmann, Garick D. Hill

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Staged palliation of hypoplastic left heart syndrome and variants begins with the Norwood or hybrid procedure. Hybrid palliation is used in a minority of cases and often reserved for high-risk patients. Stented hybrid (SH) comprises bilateral pulmonary artery bands and ductal stenting, and medical hybrid (MH) comprises bilateral pulmonary artery bands and prostaglandins. MH use and outcomes have not been well described. We sought to compare MH, SH, and surgical stage 1 (SS1) using a national database.

METHODS: Patients from the National Pediatric Cardiology Quality Improvement Collaborative database born between 2016 and 2021 were categorized by initial intervention: MH, …

The Science And Economics Of 3d-Printed Filament Recycling, Michael Domingo, Dane Freund, John Mcswiggin, Adam Meadows

Sustainability Conference

In recent years, 3D printing has grown rapidly, both in homes and commercially. This has led to increased demand for plastic filaments, many of which contribute to plastic waste. This project explores the potential of recycling household plastics into 3D printing filament, promoting sustainability and creating a circular economy. Materials like PLA, PETG, ABS, and polypropylene can be recycled or even composted. Existing research has shown that recycled filaments can maintain comparable tensile strength to their virgin counterparts, depending on the recycling process. Furthermore, implementing circular economy practices for plastics could save billions annually by mitigating pollution and reducing landfill …

Localized Nuclear Utility For Erau Environmental Improvement, Timothy Schroeder, Jacob Blanton, Christopher Anderson

Sustainability Conference

The reliance of Embry Riddle Aeronautical University (ERAU) on energy supplied by Florida Power & Light (FPL), which currently draws large amounts of power from fossil fuel sources, is continuously suboptimal both environmentally and financially. This study proposes assessing the feasibility of deploying a campus scale nuclear reactor tailored to ERAU’s power consumption profile. This serves as a path toward reducing greenhouse gas emissions and limiting dependence on external fossil fuel generation. The methods used are primarily literature review(s), and numerical analysis on comparable use cases. The literature reviews focused on design theory and yield of nuclear reactors on a …

Advancing Environmental Monitoring At Verde River Headwaters State Park Through Integrated Remote Sensing Technologies, Ronny Schroeder, Noah Morales, Colton Weeks, Reiner Zimmermann, Erika Podest, Hank Vincent

Sustainability Conference

The establishment of Verde River Headwaters State Park in Chino Valley, Arizona, marks a significant conservation milestone with the acquisition of 734 acres of the historic Del Rio Springs Ranch by the Trust for Public Land in March 2024. Now under the stewardship of Arizona State Parks & Trails (ASPT), this site encompasses Sullivan Lake, Del Rio Springs, critical riparian habitats, and historically significant landmarks including the 1863 Arizona territorial capital and 1920s Fred Harvey Farm structures. This initiative yields substantial benefits, including annual water savings within the Prescott Active Management Area, the extension of the Peavine National Recreation Trail, …

Full Issue, Volume 4, Press Humboldt

CSU Journal of Sustainability and Climate Change

Volume 4, 2025

Evaluating The Pollutant Permeation Index (Ppi) For Regional Air Quality Assessment: A Study Of Los Angeles And California Regions, Jivar Afshar, Arezoo Khodayari, Sina Taghvaee

CSU Journal of Sustainability and Climate Change

Air pollution poses significant challenges by affecting public health, increasing the prevalence of air quality-related diseases, and contributing to climate change. Federal, state, and local governments are implementing various regulations and policies to mitigate these effects. However, assessing the effectiveness of localized air pollution regulations remains complex, often relying on extensive data collection methods, such as emission inventories. This paper introduces the Pollution Permeation Index (PPI), a novel method that simplifies the evaluation of health burdens resulting from pollutant migration between neighboring regions. The PPI method employs straightforward calculations to quantify how pollutants, including Ozone (O₃), fine Particulate Matter (PM …

Elucidating The Relationship Between Water Quality And Antibiotic Resistance Of Rainwater Microbes Across Western Humboldt County, Theo P. Murphy, Eve Wendley, Justice Laskowski, Tyler Paredes

Humboldt Journal of Microbiology

Limited studies have been conducted regarding the fecal contamination and microbial dispersal through rainwater, with no known studies investigating the potential connection between antibiotic resistant microbes and water quality in rainwater. This study seeks to identify the presence of a correlation between water quality and incidence of antibiotic resistance in rainwater microbes. We hypothesize that there will be a correlation between these two variables. We additionally anticipate a high incidence of fecal contamination across rural and urban collection sites alike, with fecal contamination being more prevalent in rural areas than urban locals. To determine water quality, we measured the concentration …

Temporal Prediction Model For Executing Orchestration Functions In Optical Network, Anonymous

Defensive Publications Series

[0001] The present disclosure relates to systems and methods for a temporal prediction model for executing orchestration functions in optical networks. Predictive modeling for provisioning optical services and functions within an optical communication network involves a trained temporal prediction model (“model”). This begins with collecting execution times from each device and interface for various orchestration functions, followed by timing processes at each network element (NE), including issuing, acknowledging, executing commands, and waiting for devices to reach a ready state. The model then establishes correlations between different functions and their provisioning times based on network complexity. Temporal dependencies are recorded between …

Building Resilience Against Coastal Climate Risks, San Diego Regional Climate Collaborative, Brenda Castruita, Marius Van Dongen, Brandi Upshaw

San Diego Regional Climate Collaborative

The South Carlsbad Climate Adaptation Project (Project) is an initiative led by the City of Carlsbad (City) designed to address the growing risks of coastal erosion and sea level rise within the city. The Project focuses on a one mile segment of South Carlsbad Boulevard that runs directly along the coast and has experienced decades of coastal erosion, shoreline retreat, and recurring flooding–all of which are expected to intensify due to climate change. In an effort to protect critical infrastructure, natural resources, and public safety, the City has been evaluating the long-term viability of the current roadway and exploring various …

Systematic Review Of Elementary Cybersecurity Education: Curriculum, Pedagogy, And Barriers, Na Liu, Siyu Long, Florence Martin

Journal of Cybersecurity Education, Research and Practice

Abstract -As children increasingly engage with digital platforms, the need for effective cybersecurity education has become urgent. This systematic review synthesizes 81 studies published between 2017 and 2024 to examine global curricula research focus and topics, pedagogical approaches and assessment methods, and key challenges in elementary cybersecurity education. The findings reveal six major thematic categories: student awareness, parental mediation, teacher engagement, curriculum design, community and policy support, and pedagogical innovation. Among instructional strategies, game-based learning and narrative storytelling emerge as the most frequently explored. Despite this growth, major gaps remain in curriculum consistency, teacher preparation, assessment rigor, and stakeholder coordination. …

Predictions Of The Nancy Grace Roman Space Telescope Galactic Exoplanet Survey. Iii. Detectability Of Giant Exomoons Of Wide-Separation Giant Planets, Matthew Lastovka, B. Scott Gaudi, Samson A. Johnson, Matthew T. Penny, Eamonn Kerins, Nicholas J. Rattenbury

Faculty Publications

The Nancy Grace Roman Space Telescope (Roman) will conduct a Galactic Exoplanet Survey to discover bound and free-floating exoplanets using gravitational microlensing. Roman should be sensitive to lenses with mass down to ∼0.02 M⊕, or roughly the mass of Ganymede. Thus, the detection of moons with masses similar to the giant moons in our solar system is possible with Roman. Measuring the demographics of exomoons will provide constraints on both moon and planet formation. We conduct simulations of Roman microlensing events to determine the effects of exomoons on microlensing light curves, and whether these effects are detectable with Roman. We …

Electrochemical Breath Sensors In Medical Diagnostics: Emerging Trends And Future Directions, Natalie E. Strom, Courtney J. Weber, Olja Simoska

Faculty Publications

With the rising prevalence of metabolic diseases, infections, and mental health disorders, there is a growing demand for noninvasive diagnostic tools that enable early detection and continuous health monitoring. In this context, exhaled breath biomarkers provide insight into physiological and pathological processes. Electrochemical breath sensors (EBSs) have emerged as a promising platform for rapid, real-time, and cost-effective disease tracking via the detection of volatile breath biomarkers, such as NH₃, NO, and CO₂. Recent advancements in electrode materials, biological recognition elements, and sensor architectures—spanning nanomaterials, enzymes, aptamers, and molecularly imprinted polymers—have enhanced the analytical performance of EBSs. …

Electrochemical Breath Sensors In Medical Diagnostics: Emerging Trends And Future Directions, Natalie E. Strom, Courtney J. Weber, Olja Simoska

Faculty Publications

With the rising prevalence of metabolic diseases, infections, and mental health disorders, there is a growing demand for noninvasive diagnostic tools that enable early detection and continuous health monitoring. In this context, exhaled breath biomarkers provide insight into physiological and pathological processes. Electrochemical breath sensors (EBSs) have emerged as a promising platform for rapid, real-time, and cost-effective disease tracking via the detection of volatile breath biomarkers, such as NH₃, NO, and CO₂. Recent advancements in electrode materials, biological recognition elements, and sensor architectures—spanning nanomaterials, enzymes, aptamers, and molecularly imprinted polymers—have enhanced the analytical performance of EBSs. …

Advancing Power System Reliability And Security With Efficient And Resilient Graph Neural Network Frameworks, Seyed Hamed Haghshenas

USF Tampa Graduate Theses and Dissertations

Enhancing the reliability and security of smart grids is critical for ensuring their seamless operation and resilience against disruptions. The increasing integration of distributed energy resources, advanced measurement devices, and cyber-physical elements introduces both opportunities and challenges for grid management. While these advancements provide enhanced visibility and operational control, they also expose the grid to vulnerabilities from cyber-physical stresses, such as cyber-attacks, equipment failures, and fluctuating power demands. Traditional methods for reliability assessment and threat detection often rely on model-based approaches that struggle to adapt to the complexity and dynamic nature of modern smart grids. These limitations necessitate novel data-driven …

Security And Privacy Of Wearable And Implantable Medical Devices: A Course-Based Approach To Medical Device Cybersecurity Education, Michelle M. Ramim

Journal of Cybersecurity Education, Research and Practice

As wearable and implantable medical devices become integral to remote patient monitoring and precision medicine, the associated cybersecurity and privacy risks demand urgent attention. These devices are increasingly targeted by cyberattacks, potentially endangering patient safety and data integrity. To address this, we developed an experiential learning course titled Security and Privacy of Wearable and Implantable Medical Devices, designed for advanced undergraduate and graduate students in health and medical fields. The course immerses students in real-world challenges through lectures, labs, and project-based learning, leveraging wearable devices such as FitBit^TM to analyze and interpret real-time personal health data. The curriculum …

Effects Of Code Scaffolding In Increasing Student Confidence In Programming Cryptography, John Denny

LSU Master's Theses

Cryptography is essential for secure communications, and new threats require more students willing to program and interact with cryptographic systems. Previous research is focused on tools for teaching these systems at a high level, teaching through attacks against these systems, and proper use of these systems in software development. In this paper, we seek to design a workshop to use scaffolded Python code to teach how these cryp- tographic systems are designed. We explore the use of code scaffolding for students to program an example implementation of the McEliece crypto- graphic system to build confidence in working with these systems. …

Mathematical Modeling And Optimization Of Polymer Cold Spray Deposition For Enhanced Efficiency, Okikiola Ganiu Agbabiaka

Theses and Dissertations

Cold spray (CS) is a promising additive manufacturing technique for various industries, including aerospace and automotive. However, the application of CS to polymers presents unique challenges due to their inherent properties and complex deposition mechanisms. This study addresses critical knowledge gaps in polymer cold spray processes, focusing on optimizing parameters for enhanced deposition of polyvinyl alcohol (PVA) and polyamide-6 (nylon 6). Through a comprehensive three-stage experimental approach, the effects of gas temperature, feed rate, standoff distance, gas pressure, raster speed, particle size, and crystallinity on deposition efficiency was investigated. Utilizing advanced design of experiments methodologies, including a response surface methodology, …

The Echo: November 3, 2025, Taylor University

2025-2026 (Volume 113)

No abstract provided.

Experts’ Validation Of The Fundamental Cybersecurity Competency Index (Fcci) Using A Commercial Cyber Range Through Human-Generative Artificial Intelligence (Genai) Teaming, Dariusz Witko, Yair Levy, Catherine Neubauer, Greg Simco, Laurie P. Dringus, Melissa Carlton

Journal of Cybersecurity Education, Research and Practice

The increasing volume of cyber threats, combined with a critical shortage of skilled professionals and rising burnout among practitioners, highlights the urgent need for innovative solutions in cybersecurity operations. Generative Artificial Intelligence (GenAI) offers promising potential to augment human analysts in cybersecurity, but its integration requires rigorous validation of the fundamental competencies that enable effective collaboration of human-GenAI teams. This research study employed a mixed-methods research project designed to evaluate human-GenAI teams, emphasizing the role of expert consensus in shaping the experimental assessment of the Fundamental Cybersecurity Competency Index (FCCI) in a commercial cyber range. We engaged 20 Subject Matter …

Newsletter 2025.11.03, Fcrh Honors Program

What's Going On, Honors? (2025-26)

No abstract provided.

Developing Middle School Students’ Systems Thinking In Earth Science Through Dynamic Simulations: The Case Of The Rock Cycle, Nicole Panorkou, Amanda Provost, Gabriella Migliore

Department of Mathematics Faculty Scholarship and Creative Works

In this paper, we discuss the development of students’ systems thinking about the rock cycle as they interact with an instructional module that includes three interactive simulations and accompanying questioning. We present the reasoning of six students from a whole-class design experiment in a sixth-grade classroom to describe how students’ systems thinking may be constructed and reorganized through activity with our design. Our findings highlight a framework of students’ systems thinking about the rock cycle that builds and expands prior work to specific sub-components. We also discuss an emerging framework for supporting students’ systems thinking through careful design of simulation …

Reproducing Data Analysis Of A Published Phytoplankton Bioassay Experiment To Learn Standard Error, Alanna L. Lecher

Faculty and Staff Publications & Presentations

The ability to use conversion factors, calculate error, and evaluate the quality of data quantitatively is essential for student success in science fields. Specifically, within biological oceanography, the use of Redfield Ratios to determine nutrient limitation is a base concept. In this Excel-based lesson students reproduce a figure and analysis from a published scientific article detailing a phytoplankton bioassay experiment. As part of the lesson students calculate and propagate error and use Redfield Ratios to determine nutrient limitation. Conflicting quantitative results force students to evaluate the limitations of the experiment and justify their conclusions. Reproducing the results of the published …

Validation Of A Risk Score For Cancer-Associated Thrombosis Using Nationwide Ehr Data, Rock Bum Kim, Shengling Ma, Emily Zhou, Joyce W Tiong, Elizabeth C Chiang, Justine Ryu, Christopher I Amos, Jennifer La, Nathanael R Fillmore

Faculty, Staff and Student Publications

Importance: Venous thromboembolism (VTE) is associated with increased mortality and morbidity in patients with cancer. Existing risk prediction models are typically validated within individual sites, a fragmented approach that limits clinical adoption.

Objective: To validate the electronic health record cancer-associated thrombosis (EHR-CAT) score compared with the benchmark Khorana score in a contemporary cohort of patients with cancer across the nation, before and after treatment, excluding those at high risk of bleeding.

Design, setting, and participants: This prognostic study included patients in a nationwide longitudinal EHR database from January 2018 to December 2023 with follow-up continuing to April 2025. Patients with …

Quantum Phase Coherent Tunneling In A Mixed-Morphology Superlattice Heterostructure, Qing Shao, Can C. Aygen, Xianyu Chen, Woongkyu Lee, Robert P.H. Chang, Julia E. Medvedeva, Matthew A. Grayson

Physics Faculty Research & Creative Works

Multilayer phase coherence is demonstrated in a mixed morphology superlattice heterostructure, generalizing the paradigm for superlattice miniband engineering. Thirty years since the original proposal by Tsu, a superlattice has been realized with alternating amorphous (a-MoO₃) and polycrystalline (pc-In2O₃) layers, whose high-quality exhibits quantum phase coherence across multiple periods of amorphous barriers. Cross-plane phase coherence is quantified via weak localization signatures in magnetic field under the diffusive Fermi-surface model.

Expanding Ode Examples: Introducing Gene Regulation Dynamics Through Hill Functions, Maila Hallare, Jane M. Santamore

CODEE Journal

Gene regulation is a fundamental biological process that controls gene expression. It can explain phenomena such as cell differentiation, circadian rhythms, disease progression, and metabolic control, among many others. Despite their importance in mathematical biology, gene regulation models are rarely featured in traditional ODE textbooks, which focus mainly on examples from engineering, physics, chemistry, and population biology. This article introduces gene regulation dynamics as a valuable addition to ODE curricula, presenting the models from a mathematical perspective and building on properties of the Hill function. These models deepen the understanding of biology-inspired ODE applications, provide accessible research opportunities for students, …