Digital Commons Network^™

Improving Coral Restoration Outcomes Through Novel Molecular Applications, Matthew H. Gamache

USF Tampa Graduate Theses and Dissertations

Coral reef ecosystems are declining globally from numerous stressors, including localized pollution, disease, and marine heatwaves induced by climate change. To preserve these ecosystems, it is critical to identify corals that can withstand stressors—primarily future marine heatwaves—and prioritize them for coral restoration efforts until these stressors are mitigated. Coral responses to thermal stress can be influenced by several partners, including mutualistic microalgae and a vast prokaryotic community. Here, I use advanced molecular techniques to examine which partners (coral host, algal symbiont, and microbial communities) are associated with coral health, how they contribute to holobiont physiology, and their potential to increase …

Climate Change Agricultural Comparative Advantage And The Us Trade Balance, Elizabeth A. Fraysse, Thomas Hertel, Roman M. Keeney

Department of Agricultural Economics Faculty Publications

Current science indicates that warming and elevated atmospheric CO₂ will have ambiguous results for crop productivity depending on crop type and geographic location, whereas increased heat stress makes livestock and human labor less productive. The differential impacts across regions will alter comparative advantage and shift the patterns of global trade. This paper employs an economywide trade model to assess all three types of productivity shocks under a 3°C global warming scenario. We find that the widening agricultural trade deficits persist, even as the overall US trade balance improves due to enhanced investment inflows.

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 …

A Study Of Nonlinear Duffing Equations Using The Haar Wavelet Method, Kumbinarasaiah S., Yeshwanth R., Nandeesh K C.

Mansoura Engineering Journal

The main goal of this study is to solve Duffing equations, which are nonlinear differential equations (DEs), using the Haar wavelet technique. The solutions to this equation for an externally pushed and damped oscillator show intriguing dynamic behavior. Mathematicians have recently become more interested in wavelet analysis because of its real-world applications. A few real-world problems have been considered to assess the current methodology. Here, the (OMI) Operational Matrix of Integration and collocation points transform the non-linear ODEs into a system of nonlinear algebraic equations. The resulting system of algebraic equations is then solved using the Newton-Raphson technique to retrieve …

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 …

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 …

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, …

Molecular Fluctuations Inhibit Intermittency In Compressible Turbulence, Ishan Srivastava, Andrew Nonaka, Weiqun Zhang, Alejandro Luis Garcia, John B. Bell

Faculty Research, Scholarly, and Creative Activity

In the standard picture of fully developed turbulence, highly intermittent hydrodynamic fields are nonlinearly coupled across scales, where local energy cascades from large scales into dissipative vortices and large density gradients. Microscopically, however, constituent fluid molecules are in constant thermal (Brownian) motion, but the role of molecular fluctuations in large-scale turbulence is largely unknown, and with rare exceptions, it has historically been considered irrelevant at scales larger than the molecular mean free path. Recent theoretical and computational investigations have shown that molecular fluctuations can impact energy cascade at Kolmogorov length scales. Here, we show that molecular fluctuations not only modify …

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 …

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 …

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 …

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. …

Validation Of A Risk Score For Cancer-Associated Thrombosis Using Nationwide Ehr Data, Ang Li, Omid Jafari, Barbara D Lam, Jun Y Jiang, 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 …

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.

Uav Remote Sensing For Assessment Of Conservative Management Practices In Maize-Soybean Cropping System, Aakriti Poudel

LSU Master's Theses

Sustainable agriculture practices promote cover cropping, which enhances nutrient management and impacts subsequent crop productivity in field crop rotations. Precision agriculture technology, particularly Unmanned Aerial Vehicle (UAV) remote sensing, enables a detailed evaluation of crop management. The studies were conducted in a maize-soybean rotation system with winter cover cropping and fallow management. The maize experiment investigated the effect of nitrogen application rates and cover cropping, using UAV-derived Normalized Difference Red-Edge (NDRE) to monitor crop performance. NDRE effectively captured the N response and the effect of cover cropping across growth stages, particularly during mid-season (55-81 DAP), where it showed a strong …

Determining The 17f(Α,P)20ne Reaction Rate For Application In Type I X-Ray Bursts, William Braverman

LSU Doctoral Dissertations

The ¹⁷F(α, p)²⁰Ne reaction has been identified as an alternate pathway for breakout from the hot-CNO cycle that can be important in some X-ray burst scenarios. The ¹⁷F(α, p)²⁰Ne reaction rate was previously determined through a parameterized exponential S-factor with a large enhancement from thermally-excited states based on statistical models with large uncertainties. We have measured the time-inverse ²⁰Ne(p,α)¹⁷F cross section at center-of-mass energies ranging from 5.50 to 7.10 MeV using an activation method with a proton beam on a neon gas cell. Coincident detections of 511-keV γ-rays, resulting from electron-positron …

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, …

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 …