Digital Commons Network^™

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.

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 …

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 …

Pdf Full Issue, Rosalind L. Raby

Journal of Comparative & International Higher Education

No abstract provided.

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 …

Application And Development Of Continuum Treatments In Photodetachment Of Anions, Pratichhya Adhikari

Arts & Sciences Graduate Student Theses and Dissertations

This dissertation aims to provide deeper insight into understanding the dynamics of the photodetached electrons and the nature of the parent species. The dissertation provides examples of quasi-bound states of the anion embedded in the continuum of states associated with the neutral species, and shows how they manifest in experimental data, deviating from expectations of direct detachment. This dissertation is primarily computational and applies and develops electronic-structure and continuum models, respectively, and a newly implemented physical dipole treatment of the photoelectron to account for these resonances and to interpret experimental photoelectron imaging data. The content of the dissertation is divided …

Modifying Lta Zeolites For Reversible Hydrogen Sulfide Capture And Elucidating The Structure Of The Incorporated Metal And Sulfur Ions, Adeyemi D. Ojaide

Theses and Dissertations

Hydrogen sulfide (H2S) is a highly toxic and corrosive gas that poses significant environmental and industrial challenges, particularly within the wastewater treatment and oil and gas sectors. H2S leakage is among the deadliest industrial hazards, highlighting the urgent need for the development of highly efficient, non-corrosive adsorbents. This dissertation provides an in-depth examination of the use of metal-zeolites for H2S capture. We carefully investigate the impact of multiple divalent and one monovalent transition metals on LTA zeolites to optimize H2S removal. While Linde Type A (LTA) zeolites offer a robust structural framework for gas separation, a comprehensive understanding of how …

Closing The Gap In Offshore Wind Environmental Evidence Chains: A Workshop-Derived White Paper, Jiaxin Chen, Lilian Lieber, Matthew Palmer, Dan Lear, Deborah Greaves

School of Biological and Marine Sciences

Offshore wind development is accelerating at a time when environmental assessment is increasingly required to support timely consenting, cumulative-effects understanding, nature recovery, regional planning, floating offshore wind deployment and public trust. The workshop underpinning this White Paper was convened in recognition that the sector's central challenge is no longer simply a lack of data, but the weak connection between data, monitoring approaches, models, uncertainty, governance and decision-making.Environmental monitoring often remains project-specific and receptor-focused, while models remain component-specific or scenario-specific. Data systems are similarly fragmented across owners, repositories, formats, access arrangements and project lifecycle stages. Yet regulators and statutory advisers require …

Experiences Of Psychological Recovery From Work In Second-Generation Asian Americans, Laura Yang

Dissertations and Theses

Individuals of Asian descent make up approximately 7.4% of the U.S. population. As one of the fastest-growing minority groups, their population is projected to reach nearly 15% by 2065, with 38% being foreign-born – surpassing all other racial minority groups. Despite their increasing presence in the U.S. workforce, research on Asian workers' nonwork experiences remains limited. One key unexplored area is how Asian workers engage in recovery after work, considering their unique cultural and racialized experiences. Drawing on literature examining psychological recovery from work, this qualitative study employed multiple methods of analysis, both listening guide method and thematic analysis, to …

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.

Extracting Aromatic Compounds From Dehydrated Rose Buds, Lana Sheridan

Discovery Day - Daytona Beach

Eugenol (C10H12O2), methyl eugenol (C11H14O2), and 2-phenylethanol (C8H10O) are chemically aromatic, natural compounds commonly present in various botanical sources and essential oils. Structurally, eugenol is a methoxyphenol bearing an allyl side chain; its methyl ether derivative, methyl eugenol, shares a similar framework but features a methoxy group replacing the free phenolic hydroxyl group found in eugenol. 2-Phenylethanol is an aromatic alcohol comprised of a benzene ring linked to an ethanol moiety. The objective of this project was to isolate and characterize these compounds in dried rose buds using distillation followed by chromatographic and spectrometric analysis. For the experiment, a steam …

Steam Distillation Star Anise, Makayla Maso, Kiara Maso

Discovery Day - Daytona Beach

Star anise (Illicium verum) contains several volatile organic compounds responsible for its characteristic aroma, including trans-anethole, estragole, limonene, and linalool. These compounds differ in structure and chemical properties, which influence their behavior during isolation and analysis. Trans-anethole and estragole are classified as aromatic phenylpropene derivatives that contain benzene rings and ether functionalities. In contrast, limonene and linalool are non-aromatic terpenes, with linalool additionally possessing an alcohol functional group. These compounds are widely utilized as flavoring agents and fragrance components, while terpenes such as limonene and linalool are also commonly employed as solvents and in formulation chemistry due to their volatility …

An Energy-Aware Meta-Learning Framework For Real-Time Lunar Rover Localization Via Adaptive Algorithm Selection, Jose Demedeiros, Garrett Seyler

Discovery Day - Daytona Beach

This work proposes an energy-aware meta-learning framework that selects the single most suitable localization algorithm for a lunar rover, per scene, using only monocular imagery and orbital maps. The goal is to achieve sub-meter accuracy while minimizing onboard compute and energy consumption. We assemble a suite of seven lunar-relevant algorithms spanning relative and absolute localization, including monocular ORB-SLAM3, LuVo homography-based visual odometry, Censible cross-view matching with orbital imagery, crater-based methods (LunarNav and ShadowNav), monocular horizon navigation with a DEM, and DROID-SLAM. Relative methods provide incremental motion updates, while absolute methods deliver global pose fixes; an Extended Kalman Filter fuses these …

A Qualitative Analysis Of Human-Ai Interaction Through Animated Shapes, Kavya Dipen Shah, Angel Hinojosa, Caroline Deck

Discovery Day - Daytona Beach

As technology becomes more advanced, it is important to understand how people perceive the intentions and abilities of machines. This project, conducted in the InTeRACT Lab, explores how we attribute humanlike qualities to different types of agents, ranging from animals to robots. The study analyzes data from an experiment where participants watched animations of moving triangles. Although the videos were identical, participants were told the shapes represented either humans, robots, dogs, or inanimate objects. While previous math-based data showed that these labels changed how people felt, those structured scales didn't allow for a natural, unbiased explanation of what people actually …

A System Safety Approach To Assuring Artificial Intelligence Enabled Functions In Civil Aviation, Evan Bear, Quinn Galen

Discovery Day - Daytona Beach

Artificial intelligence and machine learning techniques are increasingly proposed for use in safety-critical civil aviation functions including perception decision support and pilot assistance. Existing aviation safety and certification standards such as ARP4754A and DO-178C were developed under assumptions of determinism explicit requirements and complete behavioral specification which do not directly apply to learning-enabled systems. This mismatch has created uncertainty regarding how artificial intelligence enabled avionics can be safely assured and certified. This paper presents a system safety approach for assuring artificial intelligence enabled functions within existing aviation certification frameworks. In this approach safety assurance is based on explicitly identifying the …