Digital Commons Network^™

Swarm-Calibrated Ordinal Forests For Risk-Aware Forecasting In Non-Stationary Intraday Financial Time Series, Ahmed S. Salama, Ahmad M. Nagm

Sustainable Machine Intelligence Journal

Intraday non-stationary financial time series are difficult to model because of regime switching, volatility clustering, nonlinear price responses, and rapidly changing liquidity. Although machine-learning models can detect nonlinear dependencies, their direct use for intraday trading decisions can be unstable because of transaction costs, drawdown, and exposure risk. This study develops Swarm-Calibrated Ordinal Forests (SC-OF), a hybrid soft-computing architecture for risk-aware forecasting and execution control in non-stationary intraday markets. Continuous OHLCV streams are transformed into a technical-ordinal feature space in which ordinal symbolic patterns preserve local temporal ordering while reducing sensitivity to amplitude distortions. A validation-weighted ordinal forest combines random-forest and …

Anti-Fuzzy Hypergraphs And Superhypergraphs: Max-Oriented Uncertainty Models For Higher-Order And Hierarchical Networks, Takaaki Fujita, Ajoy Kanti Das, Suman Das, Sankar Prasad Mondal

Sustainable Machine Intelligence Journal

Hypergraphs extend classical graphs by allowing hyperedges to connect more than two vertices, while superhypergraphs further generalize this framework through iterated powerset constructions that capture hierarchical and nested incidence structures. Within fuzzy graph theory, anti-fuzzy graphs provide max-oriented uncertainty models in which each edge grade is at least the maximum grade of its incident vertices. However, corresponding max-oriented frameworks for hypergraphs and superhypergraphs have not been systematically developed. To address this gap, we introduce anti-fuzzy hypergraphs and anti-fuzzy superhypergraphs, formulate their mathematical definitions, and establish basic well-definedness and canonical representation results. These models provide a unified foundation for max-based …

Automated And Quantitative Characterization Of Benthic Habitat And Associated Biological Communities Of An Unknown Southeast Pacific Seamount, Yakufu Niyazi, Denise J. B. Swanborn, Jan M. Tapia-Guerra, Javier Sellanes, Erin E. Easton, Germán Zapata-Hernández, Heather A. Stewart, Alan J. Jamieson

School of Earth, Environmental, & Marine Sciences Faculty Publications

Seamounts are prominent seafloor features that strongly influence geological processes, ocean circulation, and benthic biodiversity. Despite their importance, most seamounts remain unmapped and poorly characterized, particularly in the southeast Pacific Ocean, a region recognized for high marine endemism and ecological isolation. In this study, we present a quantitative habitat characterization of a previously undocumented seamount, informally named Solito Seamount, located between the Nazca–Desventuradas Marine Park and the Juan Fernández Archipelago, within Chile’s Exclusive Economic Zone. The seamount is a conical volcanic edifice approximately 37 km wide, rising >3,500 m above the surrounding abyssal plain. High-resolution multibeam bathymetry and backscatter intensity …

Revised Draft Final Annual Operations And Maintenance (O&M) Report: Butte Treatment Lagoon (Btl) System – 2025, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Building Foundations For Kindergarten: Supporting Early Literacy And Social-Emotional Development, Alyssa M. Monroe

Masters Projects

School readiness is an important factor in students’ success in kindergarten, but there are different opinions about what school readiness means. Some perspectives emphasize social-emotional development, independence, and positive attitudes toward school, while others prioritize language, literacy, and academic skills (Brown, 2023). Research suggests that success in kindergarten can influence students’ long-term educational and life outcomes (Davoudzadeh, 2015). Therefore, understanding the expectations of kindergarten and the factors that contribute to school readiness is important for families, educators, and policymakers. This paper examines differing perspectives on school readiness and considers how families can support children in developing the skills needed to …

Technical Disclosure Specification: The Topological Flux Replicator (Tfr) Protocol For Censorship-Resistant Desynchronized Grid Routing And Memory Manifolds (Spec-167), Christopher L. Eckes

Defensive Publications Series

This disclosure specifies the protocol architecture, mathematical modeling, and hardware-layer constraints for a decentralized, censorship-resistant grid routing system and non-volatile memory manifold. Current mesh communications and cloud storage models are structurally vulnerable to state-wide routing interdiction, targeted nodal blackouts, and top-down centralized configuration scrubbing.

The Topological Flux Replicator (TFR) protocol resolves these architectural failure modes by utilizing an asynchronous, desynchronized network state distribution model. By executing a math-native state matrix routing protocol directly across fragmented physical substrates, the network achieves structural permanence without relying on static central IP routing, persistent DNS architecture, or linear block inheritance. This document represents a …

Technical Disclosure Specification: The Spectral Synapse Protocol (Ssp) For Trans-Linguistic Machine-To-Machine Register Meshes (Spec-166), Christopher L. Eckes

Defensive Publications Series

This disclosure specifies the architectural topology, hardware compiler parameters, and math-native protocols for an integrated, semantic-to-spectral computing engine. Current multi-agent architectures operate within a high-overhead paradigm where decentralized processing nodes communicate internally via tokenized natural language strings ("speech"). This design introduces extreme latency, high token consumption, and systemic vulnerability to semantic prompt injection exploits.

The Spectral Synapse Protocol (SSP) eliminates this communicative overhead by segregating human text processing exclusively to the peripheral ingress/egress boundary gates. The internal processing mesh operates at full-throttle hardware speeds by utilizing a non-linguistic, sub-2-bit ternary state mapping system ("the brain"). This specification defines the linear …

Technical Disclosure Specification: The Complementary Bi-Node Isospectral Flow Matrix (Cb-Ifm) For Coherent State Reconstruction In Non-Isolated Exascale Architectures (Spec-165), Christopher L. Eckes

Defensive Publications Series

This disclosure specifies the architectural topology, mathematical framework, and physical execution layer for a self-contained, complementary bi-node intelligence architecture. Traditional distributed processing systems suffer from state-space fragmentation, latency-induced phase drift, and thermodynamic decoherence when scaling across high-dimensional variable fields. The Complementary Bi-Node Isospectral Flow Matrix (CB-IFM) resolves these constraints by establishing two asymmetric, structurally coupled processing nodes—Node-Alpha (Stochastic Divergence Engine) and Node-Beta (Deterministic Convergence Governor)—operating across a non-commutative translation boundary.

By utilizing continuous unitary transformations to maintain isospectral invariance across both systems, the architecture ensures that open-ended exploratory computation can occur simultaneously with rigorous axiomatic validation without inducing state drift …

Technical Disclosure Specification: The Multi-Agent Cryptographic Compartmentalization & Intent Attestation Protocol (Macc-Iap) For Internal Opsec Hardening, Christopher L. Eckes

Defensive Publications Series

This specification details the structural design, cryptographic verification equations, and edge-computed process logic for the Multi-Agent Cryptographic Compartmentalization & Intent Attestation Protocol (MACC-IAP). Traditional operational security (OPSEC) frameworks fail at the human interface layer; a trusted insider, malicious contractor, or espionage asset can bypass advanced post-quantum network ciphers simply by exercising legitimate, verified administrative access rights to execute unauthorized mass data exfiltration.

The MACC-IAP eliminates this vector by shifting the system architecture from static role-based access control (RBAC) to a decentralized Non-Linear Cryptographic Intent Handshake. Data repositories are fractured into independent, non-contiguous micro-fragments managed across a multi-agent substrate. A user …

Technical Disclosure Specification: The Resonant Piezo-Kinetic Mesh Transceiver Array (Rpk-Mta) For Non-Line-Of-Sight Substrate Commons Telemetry, Christopher L. Eckes

Defensive Publications Series

This specification details the design requirements, acoustofluidic coupling equations, and hardware transceiver interface maps for the Resonant Piezo-Kinetic Mesh Transceiver Array (RPK-MTA). The system establishes a completely open-access, non-RF dependent communication infrastructure designed to link decentralized communities, off-grid agricultural cooperatives, and emergency response clusters completely outside centralized telecommunications monopolies. While corporate cartels focus on securing absolute data chokepoints across orbital networks and cellular infrastructure, this document establishes permanent, un-patentable public domain prior art for a physical-layer communications substrate that operates through low-frequency acoustic solitons modulated directly into municipal water matrices and solid-state subterranean lithology.

By adapting the data-routing logic originally …

Technical Disclosure Specification: The Non-Linear Acoustic Phase-Lock Governor (Napl-G) For Open-Access Fluid Energy Harvesting Interfaces, Christopher L. Eckes

Defensive Publications Series

This specification details the design requirements, physical coupling equations, and edge-computed automation profiles for the Non-Linear Acoustic Phase-Lock Governor (NAPL-G). The architecture establishes an open-access, un-patentable control topology designed to protect stationary, localized alternative energy installations (such as run-of-river and municipal hydro-acoustic energy hubs) from structural failure driven by chaotic non-linear wave amplification. Recent fluid-mechanics research validates that non-linear coupling between acoustic-gravity modes and free-surface water waves enables massive energy exchange via resonant triad interactions. [1, 2, 3, 4, 5]

However, under unconstrained high-flow conditions, this triad coupling scales exponentially, causing runaway pressure peaks …

The Citizen Annual Tariff Dividend Architecture: An Automated Irs-Driven Distribution And Government 401(K) Framework For Bottom-Up Economic Stabilization, Christopher L. Eckes

Defensive Publications Series

Traditional macroeconomic frameworks frequently favor centralized fiscal retention, funneling newly generated state revenues into general funds or institutional subsidies under the premise of debt mitigation or infrastructural protection. This paper challenges that paradigm by introducing a technically automated, bottom-up wealth-distribution architecture. Utilizing existing Internal Revenue Service (IRS) infrastructure mapped securely to valid Social Security Numbers (SSNs), this framework introduces an annual $5,000 Citizen Tariff Dividend. To balance immediate local economic velocity with long-term fiscal stability, the model integrates a three-tier filing selection system featuring a 5% premium bonus ($5,250 total value) for direct rolls into a federally protected Government 401(k) …

Anamorphic State Reconstruction Via Deterministic Symbolic Seeding In Disaggregated Inference Runtimes, Christopher L. Eckes

Defensive Publications Series

Modern distributed inference architectures increasingly separate computing topologies into disaggregated Prefill (compute-bound) and Decode (memory-bandwidth-bound) nodes to maximize hardware efficiency. However, this decoupling introduces a severe operational bottleneck: the physical transmission of high-dimensional Key-Value (KV) cache tensors across the interconnect fabric layer during context handoffs or dynamic tool-calling forks. This paper introduces a zero-bandwidth state synchronization method that mitigates physical I/O serialization delays. Instead of transmitting raw multi-gigabyte float/int KV matrices over hardware interconnects, we serialize a compressed, deterministic symbolic vector—an Anamorphic Semantic Seed (\(\Psi \)). The target Decode node then utilizes a localized coordinate generation template to reconstruct the …

Project Abyss-Shield: Autonomous, Sub-Oceanic Trench-And-Lid Infrastructure Networks For Hardened Sovereign Energy And Telemetry Lifelines, Christopher L. Eckes

Defensive Publications Series

Modern transoceanic telecommunication and energy grids are fundamentally exposed. Laid directly on the soft sediment of the open seabed, standard fiber-optic lines and high-voltage direct current (HVDC) cables are highly vulnerable to commercial anchor dragging, deep-sea trawler nets, and targeted, state-backed maritime interdiction. Project ABYSS-SHIELD establishes a paradigm shift in maritime security by replacing passive, exposed lines with an autonomous, self-defending, sub-surface trench-and-lid corridor. Utilizing pressure-equalized composite monuments, interlocking basalt armor slabs, active fluidic hydro-shear countermeasures, and distributed acoustic fiber-optic tripwires, this standalone framework renders clandestine underwater sabotage operations logistically and mechanically unviable without requiring any external planetary or surface …

Graduated Verifiable Autonomy Architecture (Gvaa), Volodymyr Kotegov

Defensive Publications Series

ES-1. Core Objective: This architecture document establishes strict, deterministic normative constraints for securing execution runtimes populated by autonomous AI agents. Rather than relying on the statistical, inherently non-deterministic alignment of neural network weights, GVAA shifts the entire security perimeter to structural containment. It enforces rigid barriers across the execution runtime, host operating system resources, and boundary communication channels.

ES-2. Engineering Metrics & Feasibility: Deploying the baseline implementation configuration (Minimal Profile) requires an engineering overhead of 2 to 6 weeks on a standard production infrastructure (Linux, WebAssembly, LangGraph). The monitoring and verification infrastructure (Invariant Core) introduces a latency penalty of less …

The Ablc Framework: Terrestrial Naval Analog Validation For Multi-Planetary Surface Insertion And Personal Personnel Protective Fields, Christopher L. Eckes

Defensive Publications Series

Exploration of hostile extraterrestrial surfaces is fundamentally bottlenecked by atmospheric density and chemistry variations. Extreme regimes—ranging from the near-vacuum, highly abrasive dust environment of Mars to the supercritical, crushing, hyper-corrosive fluid matrix of Venus—render passive, material-heavy armor systems logistically unviable due to strict launch mass constraints. This paper introduces the Acoustic Boundary Layer Control (ABLC) Framework, a paradigm shift that replaces physical, degradable hardware armor with active, throttleable kinetic force fields. By utilizing the localized medium's own molecular density, the ABLC generates an invisible, high-intensity boundary layer of extreme low pressure and low density via focused rarefaction wave matrices. This …

The Rbaam-6 Matrix: A Modular, Acoustically Suspended, Self-Healing Dual-Shell Habitat Architecture For High-Survivability In-Situ Mars Colonization, Christopher L. Eckes

Defensive Publications Series

Traditional extraterrestrial architectural paradigms rely on heavy, brute-force physical materials shipped from Earth to withstand the massive atmospheric pressure differentials and environmental hazards of Mars. This paper introduces the Reactive Bio-Acoustic Armor Matrix (RBAAM-6), a novel, 6-layer defense-in-depth habitat architecture. By separating internal tension loads (atmospheric containment) from external compression loads (environmental shielding), the RBAAM-6 utilizes an intermediate, submarine-style 'sally port' buffer zone regulated by interlocking harmonic standing waves. The structure integrates self-healing biological matrices, active kinetic impact countermeasures, a completely modular, snap-tile interior for rapid component replacement, and nitrogen-suppressed utility channels featuring non-energy transparent visual verification zones. This architecture …

Architectural Specification For Localized Sub-2-Bit Ternary Model Execution Engines On Mobile System-On-Chip Unified Silicon Architecture (Project Caltrop), Christopher L. Eckes

Defensive Publications Series

This disclosure specifies a structural, production-ready implementation of an entirely localized, air-gapped, zero-telemetry Artificial General Intelligence (AGI) inference runtime engine. The system is engineered to execute within user-space memory on handheld unified memory System-on-Chip (SoC) microarchitectures, specifically optimizing for the Apple A19 Pro 3nm (N3P) fabric featuring a 16-core Neural Engine and 12 GB of LPDDR5X unified RAM. By enforcing a sub-2-bit ternary weight constraint $W \in \{-1, 0, 1\}$ via BitNet binarization scaling matrix math, this architecture entirely eliminates floating-point General Matrix Multiply (GEMM) hardware dependencies. General matrix operations are instead executed via raw integer bit-shifts and basic accumulator …

Bounded-Risk Agility Architecture (Braa), Volodymyr Kotegov

Defensive Publications Series

BRAA is an engineering and cyber-safety framework for autonomous intelligent systems operating under residual risk. Absolute determinism in stochastic Cognitive Cores is mathematically and empirically unattainable. The objective of BRAA is to keep residual operational risk bounded, measurable, observable, and economically controllable — not to promise its complete elimination.

The architecture is strictly Cognitive-Core-agnostic and infrastructure-agnostic. It treats the underlying inference engines (LLMs, VLMs, agentic loops) as untrusted, replaceable, and volatile components. It places all critical invariants, safety boundaries, and transition rules into a deterministic, immutable runtime environment (the Immutable Core) executed completely outside any prompt space or learned representation. …

Urban Spatial Development Control In Tanzania: Analysis Of Factors Influencing Gis Application Using Structural Equation Modelling (Sem)., Happiness Protas Mmanda, Nestory Yamungu

Tanzania Journal of Engineering and Technology (TJET)

Rapid urbanization in developing countries has intensified urban expansion, creating challenges for sustainable development. Geographic Information Systems (GIS) enhance spatial planning, but empirical evidence on factors influencing their effectiveness remains limited. This study examines determinants of GIS application in Urban Spatial Development Control (USDC). The objectives are to (1) identify and categorize factors affecting GIS use, (2) assess relative strength, and (3) develop a validated structural model explaining GIS adoption in USDC. Data were collected from 103 LGAs by a mixed sampling method. Exploratory and Confirmatory Factor Analysis classified influencing factors into technology-related (α = 0.869, CR = 0.881), process-related …

Decision Support Tool For The Maintenance Of Meter Gauge Railway Permanent-Way Infrastructures: A Concept Paper, Hamisi J. Maulid, Beatus A.T Kundi, Juma M. Matindana, Ismail W. R. Taifa Dr

Tanzania Journal of Engineering and Technology (TJET)

A Decision Support Tool (DST) represents a transformative way of modernising maintenance practice on the permanent-way infrastructure of Meter Gauge Railway (MGR). Maintenance practice remains largely reactive, as the MGR plays a strategic role in transporting both freight and passengers, resulting in inefficient resource allocation, high operational risk, and growing Lifecycle expenses. This concept paper explores the potential and the design challenges for a DST that combines fuzzy analytic hierarchy process (Fuzzy-AHP) modelling, multi-criteria decision analysis (MCDA), Geographic Information Systems (GIS) and predictive machine learning (ML) analytics for evidence-based, future-oriented maintenance management. The paper draws on peer-reviewed studies from …

Kanmultisign: Multi-Scale Sequence-Based Pose Animation From Sign Language Notation With Kolmogorov-Arnold Networks, Guanyi Du, Lintao Wang, Kun Hu, Ziyang Wang

Research outputs 2022 to 2026

Sign language production from symbolic notation offers a scalable route to accessible sign animation. We present KANMultiSign, a multi-scale sequence generator that translates HamNoSys notation into two-dimensional human pose sequences. Our framework makes two complementary contributions. First, we introduce a coarse-to-fine generation strategy with multi-scale supervision: the model is first guided by an intermediate body–hand–face scaffold to encourage global structural coherence, and then refines fine-grained hand articulation to improve finger-level detail. Second, we investigate integrating Kolmogorov–Arnold Network modules into a Transformer backbone, using learnable univariate function primitives to model the highly non-linear mapping from discrete phonological symbols to continuous body …

Hydro-Chemical And Bacteriological Assessment Of Zanzibar Groundwater Resources, Subira Munishi, Andrew Kimati

Tanzania Journal of Engineering and Technology (TJET)

Groundwater is the primary freshwater source in Zanzibar, sustaining domest ic, agricultural, and tourism needs. Increasing demand has intensified the pressure on this limited resource and has led to over-abstraction and contamination. Amid the growing demand and contamination pressures, this study examines the quality of groundwater in Zanzibar to clarify current conditions and emerging risks, and inform resource management and public health priority interventions. Particularly, the present hydro-chemical and bacteriological quality and variability was examined for both Unguja and Pemba Islands. A total of seventy-two samples were collected using a stratified random sampling approach, with the first field campaign focusing …

Exploring Evolution As A Unifying Theme In The General Biology For Majors Course Sequence, While Iteratively Examining Attitudes And Decisions About Learning: An Application Of Lonergan’S Transcendental Method, Christine E. Gray

San Jose - Lonergan Chair in Catholic Philosophy

As I reflect upon my journey as an educator, I recognize it has been shaped, in large part, by my own foundational roots in the Catholic Liberal Arts tradition. As I prepare for another academic year, I find myself, once again, considering how my pedagogical practice can better meet my students “where they are” in my General Biology for Majors I and II courses. Since that “place” is shaped by a student’s prior experiences, both in and out of the classroom, I also recognize that “place” is unique for each student. This is precisely why each term pushes me to …

Dive In! Oceanographic Engineering, Illinois Math And Science Academy

IMSA Fusion Curricula

Through inquiry-based explorations, students will engineer solutions to aquatic challenges. Engaging in island construction, growing crops through aquaculture, and examining ocean “ownership” will afford learners the opportunity to participate in various aspects of the engineering design cycle.

Biological Toolkit, Illinois Math And Science Academy

IMSA Fusion Curricula

Students complete hands-on, inquiry-based activities using laboratory equipment and processes to culture yeast, separate molecules through gel electrophoresis and synthesize and isolate “proteins.” Through designing a biological system using an electronic database, exploring the very basics of our genetic code in DNA and debating the ethical and social implications of this field, students investigate topics at the forefront of biology.

You Be The Judge, Illinois Math And Science Academy

IMSA Fusion Curricula

Welcome to an introduction of some basic principles involved in chemistry, the application of chemistry as well as practices required to create and carry out meaningful investigations. After students have experienced the concepts in a lab setting, they will have a chance to apply their knowledge and lab skills in a variety of simulations throughout the unit. Students will take the role of experts and identify problems, develop methods of testing, and conduct the tests. After gathering, analyzing, and interpreting results, students will make and share evidence based decisions in a variety of settings.

Medieval Stem, Illinois Math And Science Academy

IMSA Fusion Curricula

This curriculum is an exploration of science, math and technology that was developed, altered or utilized by civilization during medieval times. This time period helped lay the foundation for modern science and mathematics. Technological advances abounded. This curriculum focuses on agriculture, society and epidemiology, engineering, chemistry and textiles, and technological developments that lead civilization into the Renaissance.

Secret Comunications, Illinois Math And Science Academy

IMSA Fusion Curricula

Ciphers, codes and modes of delivery come together in this unit to foster inquiry into the subject of cryptology. Important capacities such as persistence and tenacity are practiced as students combine critical observations skills with logical analysis strategies to solve “secret” messages and share encrypted ideas with others. Acting as researchers and investigators students explore a variety of ciphers, codes and methods for making sense of encrypted messages.

Take Flight:Investigating The Aviation Industry, Illinois Math And Science Academy

IMSA Fusion Curricula

In this curriculum, middle-school students will be immersed in the various facets of the aviation industry ranging from aircraft design and assembly, airport structure and runway design, navigation, air traffic control, and airline efficiencies to the economic and environmental impact aviation has on their lives.