Digital Commons Network^™

Trim Characteristics And Its Importance, Daviel Peralta

Discovery Day - Daytona Beach

This project will go into the characteristics that lead to the concept of “Trim adjustment” in aircraft by modeling and demonstrating physical principles and mathematical concepts under ideal conditions. We will derive an equation from the basic physical principles of torque and lift to demonstrate how the trim is adjusted in steady, constant velocity flow for the sake of the pilot’s ease of control and to induce stability in flight. These adjustments are considered differently with different types of aircraft; as such, we will be focusing on mono-fixed-winged aircraft with one engine and conventional helicopter designs. Both flying devices will …

Project G.L.E.N., Alexis Peshehonoff, Makaylei Huggins, Bernard Muich, William John, Nicholas Fazzolari, Kai Hong, Nicholas Krasznavolgyi, Caitlyn A. Gabrinowitz, Grace Forbes, Harris Meyer, Jakob Graudons, Georgii Dubrov, Aditya Bhattacharya, Augustine Balish, Zachary Ort, Stephen Syvertson, Sajid Berhane

Discovery Day - Daytona Beach

Project G.L.E.N., formally known as “Refining Enhanced Fujita Wind Estimates via Unmanned Collection of In-Situ Tornadic Data Measurements,” is an ongoing initiative aimed at advancing tornado research through the development and deployment of an unmanned tornado probe. Through the Gale Level Environmental Navigator (G.L.E.N.) probe, a remote-controlled unit equipped with specialized meteorological sensors and innovative design features, we aim to collect real-time, onsite data from within tornadoes. This approach allows for direct measurement of internal atmospheric conditions such as wind speeds, pressure fluctuations, temperature, humidity, and other storm dynamics while removing human risk from tornado interception, significantly enhancing the safety …

Navigating Enhanced Exploration Assistance (Nexa), Azhari Abbas, Caleb Fakunle, Ryan Powell, Donovan Livingston

Discovery Day - Daytona Beach

NEXA is an artificial intelligence software platform developed to enhance residential security and property monitoring through seamless integration with autonomous drone systems. This research application of advanced AI in surveillance aims to create a standalone solution capable of real-time threat detection and intelligent alert management. By processing visual and sensory data, NEXA facilitates autonomous drone operation with minimal human intervention. Secure communication channels ensure that instant alerts are delivered to property owners and, potentially, law enforcement, improving response times in security incidents, search-and-rescue operations, and perimeter surveillance. Additionally, NEXA is capable of interfacing with commercially available drone platforms and presents …

An Evaluation Of Machine Learning Models' Efficacy In Determining Uav Spoofing Attacks, Nicolas Machado, Jaxon Selzer

Discovery Day - Daytona Beach

An Evaluation of Machine Learning Models' Efficacy in Determining UAV Spoofing Attacks - The rapid integration of Unmanned Aerial Vehicles (UAVs) into urban airspace has introduced significant cybersecurity concerns, particularly due to vulnerabilities in Automatic Dependent Surveillance–Broadcast (ADS-B), which lacks authentication and encryption. This project addresses the problem of detecting spoofing and data manipulation attacks that can compromise UAV safety and mission reliability. The objective of this work is to evaluate the effectiveness of machine learning–based anomaly detection, specifically Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks, as protocol-agnostic solutions for identifying anomalous UAV behavior. To achieve this, …

String-Of-Pearls Measurements Of Supersonic Plasma Jets Using Magnetospheric Multiscale Satellites, Amelia Koth

Discovery Day - Daytona Beach

High-energy supersonic plasma jets form when the solar wind, which is a flow of charged particles from the Sun, slows down as it encounters Earth’s magnetic shield. Occasionally, the solar wind remains at supersonic speeds as it enters this region. This forms plasma jets that propagate toward Earth; these jets can carry strong magnetic fields, drive magnetic reconnection, and potentially initiate substorms that lead to auroral activity.   Previously studied plasma jets occurred when the interplanetary magnetic field (IMF) points southward. In contrast, this study focuses on northward IMF conditions, which are less understood, yet still capable of producing supersonic jets. …

Helio: Heliophysics Enhanced Learning For Intelligent Orbits, Kylie Nager, James Kirk

Discovery Day - Daytona Beach

HELIO: Heliophysics Enhanced Learning for Intelligent Orbits   Satellite constellations operating in near-Earth space are increasingly vulnerable to space weather disturbances, such as solar flares, coronal mass ejections (CMEs), and high-speed solar wind streams, which degrade communications, destabilize attitude control, and accelerate orbital decay. These disturbances directly threaten mission continuity, constellation availability, and space asset survivability. Current protective approaches rely primarily on ground-based alerts and lack integration with broader space domain awareness, which results in programmed reactive protocols that are often initiated too late to prevent performance degradation and asset loss. The HELIO project addresses this gap by turning space-weather forecasts …

Interplanetary Trajectory Optimization With Reinforcement Learning, Shiloh Cuffe

Discovery Day - Daytona Beach

This project investigates the application of reinforcement learning (RL) to optimize low-thrust interplanetary trajectory design, focusing on the Earth-Venus transfer leg of the BepiColombo mission. Traditional trajectory optimization methods, such as patched conics and genetic algorithms, often require simplifying assumptions or complex optimization schemes. This work formulates the trajectory design problem as an optimal control problem (OCP) within a Markov Decision Process (MDP) framework, enabling an RL agent to learn efficient transfer strategies under realistic spacecraft constraints. The objective is to develop an autonomous guidance approach capable of replicating or improving upon established mission designs. The spacecraft is modeled as …

Generalized Cloud-Based Compressible Aerodynamics Calculator And Simulation Web App, Massimo Mansueto, Liam Griesacker, Andres Torres-Figueroa

Discovery Day - Daytona Beach

The Generalized Cloud-Based Compressible Aerodynamics Calculator and Simulation Web App focuses on the development of a tool to support the analysis, visualization, and teaching of compressible aerodynamics. In the case of most undergraduate aerospace engineering courses, students rely on static equations, charts, and manual calculations, which can make it difficult to conceptualize complex flow phenomena such as shock waves, expansion fans, and nozzle flow. The purpose of this project is to create an accessible platform that integrates a compressible flow calculator, nozzle sizing tool, and interactive simulations into a single educational resource. The application is implemented using modern web development …

Chemical Profiling Of Star Anise (Illicium Verum) Via Gc–Ms: Identifying Compounds With Pharmaceutical Potential, Legacy Wilson, Yegor Bushnev

Discovery Day - Daytona Beach

Title: Chemical Profiling of Star Anise (Illicium verum) via GC–MS: Identifying Compounds with Pharmaceutical Potential   Abstract: Star anise (Illicium verum) has been used for both medicinal and culinary applications due to its diverse bioactive compounds. It is a primary natural source of shikimic acid (𝐶7𝐻10𝑂5), a key precursor in the synthesis of the antiviral drug oseltamivir (Tamiflu), used to treat influenza. Additionally, star anise has been used to treat respiratory and digestive conditions and is widely used for flavoring due to its licorice-like aroma, mainly from trans-anethole (𝐶10𝐻12𝑂) , its major component. Previous studies have also demonstrated mild central nervous …

Extending The Essentially Entropic Lattice Boltzmann Method To Three-Dimensional Turbulent Flows, Michael Derderian

Discovery Day - Daytona Beach

The Entropic Lattice Boltzmann Method (EELBM) has demonstrated strong numerical stability and accuracy for two-dimensional simulations, particularly at higher resolutions where the entropic formulation introduces only minimal stabilizing turbulent viscosity and eventually converges to the Lattice Bhatnagar–Gross–Krook (LBGK) formulation. This built-in stabilization can be interpreted as an implicit large-eddy simulation (LES) model, allowing EELBM to capture complex turbulent behavior without requiring explicit subgrid-scale closures. While these advantages have been thoroughly validated in 2D, understanding how the entropic constraint regulates dissipation in three dimensions is essential for assessing EELBM’s suitability for practical, turbulence-dominated applications. This work focuses on the development and …

Feasibility Of High-Throughput Onboard Ai For Mars Rovers Under Solar Constraints, Aashman Gupta

Discovery Day - Daytona Beach

This project evaluates the feasibility of sustained onboard AI autonomy for a solar-powered Mars rover by directly linking solar energy availability to achievable compute performance. While Mars solar irradiance and edge computing performance have been studied independently, no unified framework currently couples surface power generation to autonomy throughput in an experimentally validated manner. The project will begin with a simulation of solar power generation for a 1 m² rover-mounted array across a Martian sol, accounting for seasonal variation, dust opacity, and array configuration (fixed versus sun-tracking). The resulting power profile will then be coupled to representative compute platforms running autonomy …

A Self-Evolving, Multi-Agent Ecosystem For Autonomous Advertising, Aura Yavary

Defensive Publications Series

This disclosure describes a self-evolving, multi-agent architecture and associated methods for autonomous digital advertising orchestration, structured as a deeply interconnected network of specialized, goal-directed, and continuously learning agents. Each core function of the digital advertising lifecycle is embodied as an autonomous agent that possesses adaptive, modular capabilities, performs independent decision-making, and communicates via decentralized protocols. The architecture incorporates a synchronized, high-fidelity causal digital twin that models user behavior and competitor actions. This twin is queried by the agents to perform causal counterfactual analysis, massive offline training, and real-time simulation-to-real policy validation. As automated decision-making scales, it is critical to mitigate …

The Active Metamaterial Structural Integrity Field (Sif): A Dynamic Stress-Routing Architecture For Advanced Spaceframes, Christopher L. Eckes

Defensive Publications Series

This white paper presents the design, architectural framework, and engineering specifications for a solid-state, real-time Structural Integrity Field (SIF). Traditional spaceframe engineering is bound by a rigid mass-to-rigidity paradox: mitigating extreme localized dynamic, kinetic, or thermal loads requires a proportional increase in material mass, which introduces severe propulsive and structural penalties. The SIF architecture breaks this paradox by shifting the burden of structural survival from structural mass to information-theoretic latency and active stress-routing. By treating structural loading as a continuous elastodynamic wave vector propagating through a medium, we define a modular, multi-vector design matrix.

This paper establishes three independent, hot-swappable …

System Architecture For Cross-Domain Intent Orchestration, Institutional Latency Mitigation, And Distributed Post-Labor Commerce, Christopher L. Eckes

Defensive Publications Series

This disclosure specifies a multi-tiered software and network architecture designed to resolve the systemic bandwidth, cognitive load, and training-data saturation bottlenecks (collectively termed the Epistemic Squeeze) that occur when linear human operational capacity interfaces with exponentially scaling technological and informational systems. The architecture establishes a structured, three-tiered human-machine orchestration environment that shifts human input from low-level manual execution to high-abstract intent orchestration. By introducing a middleware context-translation layer (AI Scaffolding), the system automates semantic embedding mapping across hyper-isolated, domain-specific ontologies, drastically reducing the multi-decade training lifecycle traditionally required to reach technological frontiers.

Furthermore, to mitigate the socio-economic displacement of human …

The Helical Manifold Hypothesis: Time As A Latency Function Of Volumetric Quantum Wave Collapse, Christopher L. Eckes

Defensive Publications Series

This paper introduces the Helical Manifold Hypothesis (HMH), a unified geometric and informational framework that models 3D space and linear time as emergent macroscopic phenomena derived from a fundamental, timeless 2D quantum substrate. We propose that baseline energy fields exist on this substrate as highly coiled, localized topological structures. Upon interaction or observation, these wave functions undergo an asymmetric volumetric collapse, uncoiling outward into 3D space to form a visible matter vector, while their anti-matter counterparts remain anchored to the negative side of the substrate. This split establishes physical spacetime coordinates (x, y, z, t). Under this framework, linear time …

Global Architecture For Planetary Infrastructure Parity: The Unified In-Context Compilation And Runtime Execution Protocol (Apip-5), Christopher L. Eckes

Defensive Publications Series

Traditional computing architectures have reached an unyielding thermodynamic and informational bottleneck in 2026. The industry's reliance on autoregressive next-token prediction demands historic capital expenditures and unsustainable grid energy, while facing imminent mathematical decoherence due to the proliferation of low-variance, AI-generated synthetic data.

This comprehensive specification introduces APIP-5, a unified runtime execution protocol that bridges decentralized satellite/edge routing meshes (APIP-3) with raw silicon and cymatic substrates (APIP-2). By establishing a strict dual-track engineering paradigm, this paper provides an immediate, industrially viable deployment model utilizing commercial silicon and hardware filters (Level 3 on the Eckes Feasibility Matrix) alongside an evolutionary, low-entropy computing …

Global Architecture For Trans-National Informational Infrastructure And Sovereign Risk Mitigation (Apip-1), Christopher L. Eckes

Defensive Publications Series

This specification establishes the Architecture for Planetary Infrastructure Parity (APIP-1), a deterministic, multi-layered technical framework engineered to eliminate the systemic risks of runaway, machine-velocity autonomous cyber-escalation. As distributed artificial intelligence systems reach agentic execution speeds that operate independently of human cognitive and diplomatic processing intervals, traditional international treaties become structurally obsolete. APIP-1 resolves this enforcement gap by embedding the Multi-Agent Symmetry of Agency Protocol (MSAP) directly into the firmware and core routing layers of the global digital commons.

By employing non-interactive zero-knowledge telemetry verification (zk-SNARKs), this framework allows sovereign states and multinational corporate entities to continuously audit cross-border system behaviors …

Technical Specification: Definitive Master Taxonomy And Systemic Architectural Directory For The Cognitive Grids Cores (Papers 1–117), Christopher L. Eckes

Defensive Publications Series

This specification establishes the definitive, system-wide architectural index and organizational taxonomy for the Christopher L. Eckes defensive publication corpus, spanning Papers 1 through 117. Historically, open-source development and prior art disclosures suffer from structural fragmentation, allowing centralized entities to locate and exploit isolation gaps between software layers and physical hardware implementations.

This master directory resolves this vulnerability by executing a top-down, text-based semantic alignment that maps the entire 117-paper footprint into eight highly dense, interconnected Technical Domains. By establishing the precise mathematical and logical dependencies linking low-level physical fluid dynamics, material manufacturing recipes, energy transduction systems, non-silicon quantum backbones, sovereign …

Technical Specification: Femtosecond-Scale Coordinate Time Synchronization And Inverse Phase-Alignment Loops For Interplanetary Cognitive Grids, Christopher L. Eckes

Defensive Publications Series

This specification defines a hyper-precise spatiotemporal time-keeping and phase-alignment operating system designed to mitigate sub-nanosecond relativistic drift across distributed interplanetary optical channels. Referencing localized clock cycles directly to Barycentric Coordinate Time (TCB) at a femtosecond resolution threshold (10^-15 s), the architecture dynamically tracks Einsteinian kinematic and gravitational dilation variables across multi-body space matrices. Traditional communications engineering employs reactive, post-receiver digital signal processing to reconstruct distorted signal paths. This framework applies inverse design methodologies, utilizing known-outcome trapping vectors to pre-distort near-infrared laser wavefront phase structures at the transmitter terminal. By computing localized space-time curvature tensors along the projected light travel path, …

Technical Specification: Dual-Mode Spatiotemporal Intersection Ambush And Ping-Pong Doppler-Gated Intercept Recovery Operating Systems For Energy-Bound Interplanetary Optical Networks, Christopher L. Eckes

Defensive Publications Series

This specification defines an energy-optimized, ultra-precise spatiotemporal tracking and communication operating system for deep space laser networks. Traditional space communication systems rely on active tracking methods, forcing heavy motorized gimbals to continuously move and shake to counteract planetary motion. This approach introduces gimbal jitter, limits data link density, and causes severe energy depletion that challenges long-duration flights.

This architecture introduces a dual-mode redundant framework that establishes Known-Outcome Trapping (The Ambush Method) as the primary operational state. Utilizing the predictable laws of Keplerian mechanics, nodes project future multi-body path intersections years in advance down to the millimeter. Rather than chasing a …

Technical Specification: A High-Latitude Keplerian Optical Mesh Array With Integrated Multi-Sensor Biosignature And Hydrological Detection Arrays For System-Wide Interplanetary Data Ingress, Christopher L. Eckes

Defensive Publications Series

This specification defines an integrated architectural design for deep space communication and planetary exploration. It replaces traditional standalone, single-point-of-failure space missions with an interconnected, system-wide, self-healing network topology.

Traditional radio frequency (RF) communications in the ecliptic plane suffer from severe data chokepoints driven by the Inverse-Square Law, solar plasma interference, and planetary occlusions. This architecture resolves these constraints by deploying a constellation of non-coplanar satellites into high-latitude, critical-inclination ($i = 63.435^\circ$) Keplerian frozen orbits around target planets. This orbital geometry provides continuous, line-of-sight laser (optical) links entirely above the flat, crowded ecliptic plane, enabling high-gigabit data transmission velocities.

To justify …

Technical Specification: Omnidirectional Multi-Vector Omni-Resonant Memory Substrate For High-Density Sovereign Storage, Christopher L. Eckes

Defensive Publications Series

This specification defines the physical architecture, material composition, manufacturing parameters, and control mathematics for an Omnidirectional Multi-Vector Omni-Resonant Non-Volatile Storage Matrix. Engineered to operate as a completely self-healing, ambient-temperature memory baseline for sovereign, main-duty processing networks, this specification eliminates external code or library references, providing an exhaustive, standalone manual for hardware replication.

We formalize four parallel physical storage channels: a mechanical acoustofluidic phase-change grid (A-RAM) deploying a Topologically Protected Cymatic Electrolyte Matrix (TPCEM) [Eckes], a stroboscopic optical emission hole-burning layer validated via tabletop three-dimensional photoemission orbital tomography (3D-POT), an electromagnetic magnetohydrodynamic (MHD) vortex confinement cell, and an organic lipid-encapsulated solitonic …

Technical Specification: Standalone Integrated Quantum Computing Backbone For Resilient Silicon Replacement, Christopher L. Eckes

Defensive Publications Series

This specification defines the complete, self-contained architecture for a solid-state, ambient-temperature quantum processing unit (QPU) engineered to serve as a main-duty replacement for legacy silicon microarchitectures. To ensure absolute operational continuity in fragmented or disconnected environments, this document eliminates external data-dependency links, consolidating the physical layer heterostructure, peripheral control chipsets, parallel simulation algorithms, and laboratory metrology protocols into a singular, cohesive engineering package.

We explicitly formalize the hardware blueprints for three critical peripheral systems: a local Continuous Phase-Locked Loop (CPLL) Temporal Clock Module to mitigate sub-picosecond phase-jitter, a gate-level Acoustic Digital-to-Analog Converter (A-DAC) to translate legacy 64-bit binary registers into …

Technical Specification: Dual-Track Acoustofluidic Parametric Transition Apparatus For Qubit Stabilization, Christopher L. Eckes

Defensive Publications Series

This specification defines the physical architecture, material layers, and control mathematics for a Dual-Track Acoustofluidic Parametric Transition Apparatus designed to mitigate environmental decoherence in solid-state quantum processing units (QPUs). The device utilizes a high-frequency, Gallium Nitride (GaN)-driven interdigital concentric transducer matrix to generate phase-matched Surface Acoustic Waves (SAWs) across an organic monolayer crystal interface (PTCDA/Pentacene).

To ensure universal operational compatibility and robust defensive IP protection, this specification enforces a dual-track mathematical pipeline. Track A models the device performance through conventional quantum parametric phase-squeezing of vacuum fluctuations via a non-linear driven Hamiltonian. Track B models the identical physical mechanics through two-dimensional …

Technical Disclosure Specification: Laboratory Quantum Metrology Interface For Dehp Substrate Verification, Christopher L. Eckes

Defensive Publications Series

This specification formalizes an engineering protocol linking the Dimensionally Extended Holographic Projection (DEHP) cosmological framework to the three-dimensional Photoemission Orbital Tomography (3D-POT) metrology apparatus developed at the University of Göttingen. Utilizing tabletop, 35-femtosecond extreme ultraviolet (EUV) photoexcitation pulses coupled with high-resolution hemispherical momentum microscopy, the 3D-POT system isolates the complete three-dimensional spatial amplitude and phase profiles of electronic wavefunctions.

This disclosure operationalizes that laboratory apparatus as an empirical testbed for Topological Substrate Mechanics (TSM) [Eckes]. We demonstrate that the reconstructed out-of-plane vertical electron density profile (\(\Psi \)) maps directly to the vertical displacement coordinates (\(z > 0\)) of the DEHP fluid-substrate …

Clara S. Ludlow: Mississippi A & M Graduate And American Military Entomology Pioneer, Bradley Brazzeal

Midsouth Entomologist

The systematic study of the mosquitoes of the world did not begin until the early years of the 20^th century. Among the early entomologists to specialize in the field was Clara S. Ludlow, who graduated from Mississippi Agricultural and Mechanical College. Her research began in the Philippines in 1901, while American troops were still fighting in the Philippine-American War, and for over 20 years she researched mosquitoes in connection with the U.S. Army. This article explores Ludlow’s scientific career and the legacy of her research.

K–3 Teachers’ Perspectives Regarding Learnable Intelligence As A Developmental Target And Their Advocacy For Students’ Cognitive Capabilities, Eleanor Nkechi Maduako

Walden Dissertations and Doctoral Studies

Extensive research shows the brain is malleable and, with experience and knowledge, intelligence can grow. The research problem addressed through this study was that the extent of early childhood educators' knowledge of learnable intelligence and their advocacy for advancement of children’s cognitive capabilities as a developmental goal were unknown. Guided by Perkins’s theory of learnable intelligence, the purpose of this basic qualitative study was to explore K–3 teachers’ perspectives on learnable intelligence as a developmental target and how they advocate for children’s cognitive capabilities in their classrooms. In vivo and axial coding of data from semistructured interviews with 12 participants …

Age Reassignment Using Luminescence Dating For The Mammoth Site, Black Hills, South Dakota, Usa, Shannon A. Mahan, Jim I. Mead, P.R. Hanson, Emma T. Krolczyk, Christopher N. Jass

School of Natural Resources: Faculty Publications

The Mammoth Site (MS) at Hot Springs, South Dakota, provides a unique opportunity to reconstruct paleoenvironmental conditions on the Northern Great Plains of the United States. Previous radiocarbon analyses of mammoth bone apatite suggested the MS sinkhole was deposited ∼42–23 cal ka BP. However, two U-series ages and one thermoluminescence (TL) age ranged between 150 and 101 ka, suggesting the bones were considerably older. We analyzed six samples from the bone bed using infrared-stimulated luminescence (IRSL) on feldspars, because the quartz luminescence was saturated; the ages ranged from approximately 232 to 160 ka, showing better agreement with previous U-series and …

Oregon State Rank Assessment For Deer-Cabbage (Nephrophyllidium Crista-Galli), Lindsey K. Wise

Institute for Natural Resources Publications

Oregon state conservation status assessment for Deer-cabbage (Nephrophyllidium crista-galli) using NatureServe methodology, 2026.

Literacy Hubs: Human-Centered, Coordinated Approach Towards Advancing Adult Literacy In A Community, Alexandria M. Marzolf

Masters Projects

Low adult literacy skills have been a pervasive and persistent challenge in the United States for more than a century. One in five adults (21%) possesses low literacy skills (National Center for Education Statistics, 2026), a finding consistent with statistics reported by the National Literacy Institute (2024). Despite decades of educational reform, many adults continue to experience limited access to coordinated, community-based literacy support. The purpose of this master's project was to develop a community-based Literacy Hub framework designed to increase access to adult literacy learning opportunities through coordinated partnerships and community engagement. An extensive review of educational research, community …