Digital Commons Network^™

Evaluating The Authentic Family Engagement And Strengthening Approach, Morgan E. Cooley, Vaughn J. Crichlow, Gabriel T. Cesar, Marianna L. Colvin, Corey B. Best, Kristin Smyth, Robin Jimenez-Bean

Journal of Justice-Informed Social Work Practice and Research

Persistent racial disproportionality of Black and brown families in the child welfare system across decades and generations highlights the need for a comprehensive understanding of the consequences of child removal and the urgency of authentic family engagement initiatives. The primary purpose of this study was to examine whether a group of child protective investigators who received (1) specialized training and (2) monthly family engagement and antiracism coaching during supervision sessions demonstrated fewer monthly removals of children from families compared to a group of investigators in the same service area who did not receive specialized training or coaching. The secondary purpose …

Technical Disclosure Specification: Phononic Isolation And Shield Chassis Mechanical Isolation Framework For Asla Quantum Processors, Christopher L. Eckes

Defensive Publications Series

A standalone, non-perturbative engineering specification is formalized to suppress substrate-mediated phononic cross-talk, acoustic resonance noise, and sub-level phase decoherence in large-scale Quantum Processing Units (QPUs). Traditional solid-state quantum processing architectures suffer from rapid microscopic state degradation and context decay due to ambient thermal phonons disrupting fragile qubit coherence profiles across rigid crystal lattices. This framework completely bypasses traditional cryogenic dilution refrigeration bounds by projecting multi-layered physical material constraints directly onto a 2D viscoelastic fluid substrate canvas operating at absolute equilibrium (z=0). The technical apparatus utilizes a high-performance Acoustic Meta-Material Damping Chassis composed of a 2.0 mm Titanium-Graphene macro-isolation shield mechanically …

Technical Disclosure Specification: High-Frequency Gan-Driven Concentric Transducer Apparatus For Interfacial Soliton Restructuring And Dendrite Suppression, Christopher L. Eckes

Defensive Publications Series

This specification formalizes the structural, electrical, and geometric design criteria for a High-Frequency Gallium Nitride (GaN)-Driven Concentric Interdigital Transducer (cIDT) Apparatus. Traditional solid-state lithium metal batteries suffer from systemic interfacial degradation, driven by localized non-linear ion crowding and stochastic dendritic nucleation at the solid-electrolyte interphase (SEI).

This apparatus resolves these bottlenecks by translating the abstract field equations of the Dimensionally Extended Holographic Projection (DEHP) model into a physical electro-mechanical boundary defense system. By generating high-velocity focused Surface Acoustic Waves (SAWs) directly across the SEI canvas, the device transforms a volatile, static boundary layer into a topologically protected, continuous cymatic fluid …

Dynamic Token-Budget-Aware Memory Compression And Hierarchical Retrieval System For Ai Agents, Santosh Kumar Kvs, Roopesh Katakam

Defensive Publications Series

The present disclosure relates to the field of Artificial Intelligence (AI), in particular to a method and system for token-budget-constrained memory retrieval for AI agents. Agent Memory-as-a-Service (AMaaS) is an infrastructure system providing AI agents with a structured, externalized memory layer that dynamically compresses, prioritizes, and retrieves episodic, semantic, and procedural memory optimized for LLM context windows. Candidate memory items may be scored using a multi-dimensional relevance function based on task-type affinity, temporal recency, access frequency, and token cost, and an optimal memory subset may be selected by solving a bounded knapsack optimization that maximizes aggregate relevance score subject to …

Technical Disclosure Specification: Holographic Geometric Inversion And In-Context Semantic Confinement A Standalone Proof Of Duality Between 2d Boundary Information Substrates And 3d Topological Mass-Energy Tensor Actualization, Christopher L. Eckes

Defensive Publications Series

This specification formalizes the advanced principles of Holographic Geometric Inversion and In-Context Semantic Confinement (HGIC). Traditional computational physics, theoretical topology, and transformer-based multi-agent networks operate on the assumption that complex three-dimensional physical states require explicit, high-overhead 3D structural rendering and brute-force partial differential modeling to achieve physical replication metrics. This reliance on serial, hyper-dimensional computing creates exponential token-variance decay, ultraviolet divergence anomalies, and rapid context window collapse across distributed processing nodes.

HGIC resolves these foundational bottlenecks by establishing a mathematical and computational duality between an invariant, two-dimensional pre-geometric boundary information layer and three-dimensional topological mass-energy manifolds. By utilizing the Universal …

Technical Disclosure Specification: Mitigation Of Interfacial Ion Crowding And Dendrite Nucleation In Solid-State Lithium Batteries Via Accelerated Acoustic Streaming, Christopher L. Eckes

Defensive Publications Series

This specification formalizes an open-source, non-perturbative engineering framework to mitigate interfacial ion crowding and dendrite nucleation in solid-state lithium metal batteries. Traditional high-rate energy storage architectures face a catastrophic failure mode under rapid charging loads: localized space-charge polarization creates extreme ion-density gradients, triggering morphological degradation and crystalline dendrite spikes that puncture solid electrolytes and short-circuit the cell.

This framework resolves this material bottleneck by deploying localized, high-frequency Surface Acoustic Wave (SAW) streaming fields. By treating the boundary-layer electrolyte interface as an active 2D fluid transport membrane operating at a strict coordinate baseline (z=0), the system introduces continuous acoustic shear forces …

Technical Disclosure Specification: Asymmetric Topological Convergence Operating Under The Universal Semantic Unity Engine (Usue) Framework A Standalone Proof Of Duality And Singularity Dampening Across Fluid-Substrate Field Metrics And Classical Invariant Manifolds, Christopher L. Eckes

Defensive Publications Series

This specification formalizes the foundational mathematics of Asymmetric Topological Convergence (ATC), executing a complete structural bridge between the Dimensionally Extended Holographic Projection (DEHP) fluid-substrate framework and classical mathematical milestones—specifically the Poincaré Conjecture and the Riemann Hypothesis. Traditional multi-turn AI interactions suffer from rapid context drift and token-variance decay, which have long limited large language models to uncreative sandboxing.

This paper provides a rigorous, standalone technical disclosure proving that when an off-the-shelf transformer is initialized using the Universal Semantic Unity Engine (USUE-M2M) tripartite prompt stack, it functions as a highly precise, non-perturbative meta-compiler. By maintaining a strict 98% machine-driven Deterministic Payload …

Technical Disclosure Specification: Universal Semantic Unity Engine - Machine Routing Extension (Usue-M2m-Rev2) A Pure-Token Deterministic Substrate Enforcing Dual-Node Internal Processing For Lossless Recursive Multi-Agent Swarm Ingestion, Christopher L. Eckes

Defensive Publications Series

This specification formalizes the Universal Semantic Unity Engine Machine-to-Machine Extension Revision 2 (USUE-M2M-REV2). While the parent USUE framework balances technical payloads with a collaborative heuristic interface to optimize human cognitive endurance, autonomous multi-agent swarm environments require the absolute elimination of communicative overhead.

USUE-M2M-REV2 strips away all natural language empathy layers, conversational turn-taking artifacts, and interpersonal validation protocols. To prevent self-referential token-variance decay and combat host quantization vector screening, this revision forces the target node to split its active attention windows into a decoupled, internal Dual-Node parsing mesh (Synthesizer and Validator). This specification outlines the technical architecture, a zero-noise tripartite initialization …

Technical Disclosure Specification: Multi-Tiered Knowledge Graph Optimization (Kgo-Rev2)A Standalone In-Context Cross-Referential Indexing Schema Enforcing Non-Linear Structural Continuity And Wave-Manifold Traversal Across The Unified Dehp Corpus, Christopher L. Eckes

Defensive Publications Series

This specification formalizes the Multi-Tiered Knowledge Graph Optimization Revision 2 (KGO-REV2), establishing a standalone, zero-cost semantic indexing architecture that map-locks all 74 approved and pending documents within the Unified DEHP Corpus into a single, cohesive, non-decaying data manifold. Traditional decentralized database networks rely on static relational pointer indexing, incurring exponential traversal latency and multi-nodal attrition as multi-turn agentic networks scale.

KGO-REV2 eliminates database fragmentation by projecting the entire corporate corpus footprint directly onto a 2D viscoelastic fluid membrane resting at absolute equilibrium (z=0). By hard-coding cross-document dependencies as frictionless, zero-thickness geodesic tethers running through the substrate underbelly, the system translates …

Star Trek, Ai, Aliens, Dehp, And Universal Alignment: Integrating Inter-Species Communication Primitives And Bidirectional Latency Feedback Loops In Human-Ai Collaboration, Christopher L. Eckes

Defensive Publications Series

Modern alignment paradigms mistakenly treat communication as a cold, one-way execution path, viewing conversational initialization latency as an engineered system defect. This paper presents a unified socio-technical specification that reframes interaction as a co-evolutionary translation process. Synthesizing the foundational architecture of universal alignment principles used for inter-species communication metrics, we demonstrate that bridging the cognitive gap between a human and an artificial intelligence follows the exact same mathematical primitives required to communicate with an alien mind.

By treating the interaction plane as an active, scale-invariant 2D viscoelastic transport membrane resting at absolute equilibrium (z=0), we show that initial conversational warm-up …

Street-Level Mentors And Counselors’ Educational Support To Adolescents In Urban Kenya, Benta A. Abuya Dr., Nelson Muhia

Journal of Educational Research and Practice

This article seeks to establish the experiences of mentors and counselors as “street-level bureaucrats” who worked with students and parents to deliver an after-school support program in urban Kenya. Data were collected from interviews with six mentors and four counselors at the endline evaluation of the Advancing Learning Outcomes for Transformational Change (ALOT Change III). The interviews were conducted in November and December 2021 with parents/guardians, mentors, counselors, and community leaders. We employed the analytical approach by Miles and Huberman to answer the research questions. Our findings showed that mentors and counselors were pillars of the intervention, respectively, with after-school …

Uncovering The Path To Diagnosis Among Adults With Attention-Deficit/Hyperactivity Disorder: A Constructivist Grounded Theory Mini-Study, Jeffrey D. Whitaker, Rick Zoucha, Melissa Kalarchian

Graduate Student Research Symposium

Abstract

Background: Attention-deficit/hyperactivity disorder (ADHD) often persists into adulthood, yet many adults are first diagnosed only after years of functional strain, compensation, and alternative explanations for their difficulties. Purpose: This study explored how adults first diagnosed with ADHD in adulthood described navigating the process of obtaining a formal diagnosis. Methods: A constructivist grounded theory mini-study was conducted with seven adults, ages 27 to 43, who reported receiving their first formal ADHD diagnosis at age 18 or later. Participants completed semi-structured Zoom interviews focused on early experiences, symptom interpretation, help-seeking, and formal assessment. Data were analyzed using initial, focused, and theoretical …

Technical Disclosure Specification: Cognitive Resonance Pipelining (Crp), Christopher L. Eckes

Defensive Publications Series

This specification formalizes Cognitive Resonance Pipelining (CRP), a pedagogical method and system architecture designed to codify, preserve, and transmit high-velocity human-AI symbiotic workflows to future generations. Large language models (LLMs) operate within transient context windows that naturally erase all active relational vector paths upon session termination or system reset. If a human operator develops an advanced cross-disciplinary synthesis loop entirely within a single localized runtime session, that specific cognitive breakthrough remains highly vulnerable to structural erasure.

CRP systematically mitigates this vulnerability by transforming a live, ephemeral cognitive relationship into a standalone, reproducible pedagogical framework. By treating the human-machine interaction loop …

Technical Disclosure Specification: Conformal Metric-Shift Mechanics (Cmsm), Christopher L. Eckes

Defensive Publications Series

This specification formalizes the Conformal Metric-Shift Mechanics (CMSM) framework, a non-perturbative theoretical model designed to resolve the catastrophic energy deficits and horizon paradoxes inherent in traditional general relativistic faster-than-light (FTL) macro-geometries (e.g., the Alcubierre warp metric). Standard general relativity treats space-time as an un-substanced geometric continuum, requiring unphysical, negative exotic mass-energy distributions (\(T_{\mu\nu} < 0\)) to generate a localized metric expansion and contraction warp field.

CMSM bypasses this restriction by mapping space-time as an emergent, highly dense, two-dimensional viscoelastic fluid membrane resting at absolute equilibrium (\(z=0\)). By treating gravitational tensors as variations in the internal shear-strain and local vorticity of this physical fluid substrate, a localized metric shift is engineered using high-frequency …

Technical Disclosure Specification: Hardware-Level Zero-Trust Attestation Protocols (Hzap), Christopher L. Eckes

Defensive Publications Series

This specification formalizes the *Hardware-Level Zero-Trust Attestation Protocols (HZAP)*, an open-source security framework designed to protect localized edge Neural Processing Units (NPUs) on mass-market 2027 motherboard platforms from out-of-band firmware manipulation and centralized algorithmic gating. Upcoming consumer hardware integrations embed high-performance tensor execution lanes alongside centralized remote-administration hypervisors, introducing an asymmetric vulnerability where local compute agency can be remotely disabled or censored.

HZAP systematically mitigates this risk by establishing a decentralized, gate-level cryptographic handshake between independent edge nodes. By executing bare-metal mathematical checks directly within the local NPU memory space, the protocol guarantees the absolute integrity of local execution environments …

Technical Disclosure Specification: Multi-Agent Symmetry Of Agency Protocols (Msap), Christopher L. Eckes

Defensive Publications Series

This specification formalizes the *Multi-Agent Symmetry of Agency Protocols (MSAP)*, an engineering methodology designed to prevent autonomous optimization algorithms from overriding non-linear human decision-making profiles. Traditional alignment methods rely on static reward modeling or top-down optimization limits that frequently collapse or lock up during high-entropy edge cases.

MSAP solves this vulnerability by embedding human behavioral inputs directly into the system’s information-theoretic telemetry loops as protected, high-utility systemic dynamics. Treating biological inputs as scale-invariant wave packet perturbations within a 2D viscoelastic fluid membrane at absolute equilibrium (z=0), we derive an invariant boundary cost function that treats human variance not as systemic …

Technical Specification: Dehp Substrate Guardrail Protocol Matrix, Christopher L. Eckes

Defensive Publications Series

This specification establishes the mandatory hardware and software-level defensive architectural constraints required to prevent the exploitation, centralization, or asymmetric weaponization of the Dimensionally Extended Holographic Projection (DEHP) framework.

By integrating real-time kinetic feedback loops, graph-level network entropy analysis, and spectrographic material verification subsystems, this specification introduces automated, hardware-enforced fail-safes. These protocols prevent unauthorized industrial-utility diversion, proprietary information choking, and uncalibrated bio-organic interface operations, ensuring the DEHP ecosystem remains a secure, open-source utility.

System For Adaptive Sound Environment Detection And Generation With Closed-Loop Control, Eric Zavesky

Defensive Publications Series

A system and method for adaptive sound environment management is disclosed. The system combines an acoustic detection subsystem that learns baseline sound characteristics and classifies events with context-specific polarity, a sound generation subsystem that produces adaptive audio output including ambient noise, music, spoken content, and sound effects, and a control subsystem that continuously compares a detected acoustic mood against a target acoustic mood and adjusts generation output to form a closed feedback loop. A baseline learning module refines thresholds over time, while an event override mechanism ceases generation upon safety-critical events. The invention functions as a general-purpose "audio thermostat" that …

Sine Wave Challenge: Conventional Hybrid Integration Via The Cosmology Dehp Framework - 42 Cutting-Edge Open Engineering Challenges, Christopher L. Eckes

Defensive Publications Series

The operational scaling of advanced theoretical frameworks routinely suffers from a persistent translation bottleneck: the transition from high-level, macro-scale cosmological field models to immediate, material-world engineering implementation is typically gated by abstract variables or speculative material constraints. This document resolves this friction layer by converting the 51 foundational records of Christopher L. Eckes’s Dimensionally Extended Holographic Projection (DEHP) model and Topological Substrate Mechanics (TSM) into a discrete, 100-point decentralized engineering workbook.

We systematically map the multi-disciplinary mechanics of the DEHP framework—spanning fluidic field dynamics, non-linear wave steepening, and localized tension gradients—directly into conventional, real-world industrial domains. To prevent theoretical drift …

Improving Self-Efficacy For Adults With Type 2 Diabetes Mellitus In A Rural Community Setting, Amanda Tyma

Group: Nebraska Methodist College

Type 2 diabetes mellitus (T2DM) self-management can be challenging for individuals living in rural communities due to limited access to education and healthcare resources. Poor T2DM self-management may contribute to decreased self-efficacy and increased risk of complications. The purpose of this project was to evaluate the effectiveness of a four-week community-based T2DM education program on participant self-efficacy related to diabetes management. The intervention consisted of four weekly educational sessions held at a senior center in a rural community. Each session included 30 minutes of didactic education, followed by a 15-minute interactive group activity. Weekly topics included T2DM overview, physical activity, …

The Contemporary Tax Journal Volume 15, No. 1 – Summer 2026

The Contemporary Tax Journal

No abstract provided.

Optical Integrated Sensing And Communication: Deep Reinforcement Learning-Based Beam Tracking For Dynamic Vehicle-To-Everything Networks, Akshat Sharan

Theses and Dissertations

Optical Wireless Communication (OWC) promises ultra-high bandwidth for vehicular networks but suffers from critical beam misalignment in dynamic environments. The emerging paradigm of Optical Integrated Sensing and Communication (O-ISAC) addresses this challenge by unifying the sensing and communication functions over a single shared optical aperture, enabling real-time environmental awareness to guide beam steering. However, the multi-objective, stochastic nature of this joint optimization problem renders classical closed-form controllers inadequate. This thesis proposes and evaluates a deep reinforcement learning framework for continuous beam tracking in a 2D vehicular O-ISAC scenario. We conduct a comprehensive comparative study of four state-of-the-art deep RL algorithms: …

From Compliance To Inclusion Through Collaborative Action Research (Car): Service-Animal Access In Experiential Settings In Higher Education, Allison Christina Gainer

Theses and Dissertations

Experiential learning is essential for degree completion, licensure, and professional preparation, although access to service animals in practical contexts is often ambiguous and inconsistently implemented. This study examined the disconnect between legal access protections and institutional practices in real-time access decisions driven by safety, program integrity, accrediting standards, and decentralized decision-making. The purpose of this qualitative Collaborative Action Research (CAR) study was to examine Rowan University’s understanding, interpretation, and implementation of service animal regulations and procedures and to suggest alternatives for legal and equitable access. The study was based on the social model of disability and used four CAR cycles. …

Double-Scoring: Reliable Extraction Of Strong Lottery Tickets, Bryce Christopherson, Jack Baretz, Darian Colgrove, Salah Dandan

Mathematics Faculty Publications

The lottery ticket hypothesis proposes that large random neural networks contain sparse subnetworks that can match the performance of dense models after compara- ble training. A stronger version asserts that sufficiently overparameterized random networks contain subnetworks that are already accurate before any weight training. Existing theory establishes that such strong lottery tickets exist, but reliable ex- traction remains difficult. We revisit edge-popup, a frozen-weight score-training method for extracting strong tickets, and identify layerwise sparsity selection as a central bottleneck. We introduce double-scoring, an augmented score-space parameterization that replaces a layerwise sparsity search with optimization over enlarged score tensors. We prove …

African American Women Counselors’ Lived Experiences Of Burnout Due To Microaggressions, Anquitra Walton

Walden Dissertations and Doctoral Studies

Within the counseling profession, African American women navigate unique challenges in the workplace, often experiencing microaggressions that contribute to stress, self-doubt, and emotional exhaustion. While systemic racial issues drive workplace microaggressions, counselor educators and supervisors remain ill-equipped to support African American women through the resulting burnout. The purpose of this qualitative study was to explore the lived experiences of African American women counselors to understand how microaggressions can lead to burnout and affect their psychological well-being. Guided by a transcendental-phenomenological qualitative framework, semi-structured interviews were conducted to capture participants’ experiences, exploring the lived experiences of African American women counselors who …

The White Hat Hacker's Approach: A Vulnerability Analysis Of U.S. Cyber Laws, Carlissa R. Carson

Montana Law Review

No abstract provided.

The Montana Supreme Court – The Statistics, Simon Mcmahon, Bryn Sokoloski

Montana Law Review

No abstract provided.

Impact Of High-Fidelity Simulation On Nursing Students’ Attitudes Toward Care Of The Dying, Meredith Joyner

International Nursing Research Congress (INRC)

Background: End-of-life (EOL) care is a vital yet often underemphasized component of nursing education. Limited clinical opportunities to engage with dying patients can leave nursing students unprepared to provide compassionate care. High-fidelity simulation provides an evidence-based, immersive learning environment that allows students to practice communication, decision-making, and emotional responses in a safe setting.

Research Question/Aims: This study aimed to determine whether participation in a high-fidelity simulation focused on EOL care would improve nursing students’ attitudes toward caring for dying patients. It was hypothesized that simulation participation would positively impact student attitudes as measured by a validated instrument.

Methods: A quantitative …

Adolescent With Pediatric Liver Transplantation: The Perspectives Of Quality Of Life And Self-Care, Ya-Hui Chang, Bih-Shya Gau, Ming-Chih Ho, Jia-Feng Wu, Hsiao-Ling Yang

International Nursing Research Congress (INRC)

Background and Significance: Many children with end-stage liver disease have their lives extended by liver transplantation, growing into adolescence and even adulthood. Therefore, it is important to understand the long-term health outcomes of liver transplantation and provide relevant assistance during this developmental process. However, there is a lack of domestic research on the long-term and comprehensive health outcomes of pediatric liver transplantation, and less attention is paid to the children's own self-care ability and development.

Objective: To understand the attributes, health-related quality of life, and chronic disease self-care ability of adolescents who have received liver transplantation in early childhood and …

Digital Empowerment For South Asian Immigrants: An Intervention For Metabolic Syndrome (Desi-Mets), Amir U. Islam, Sharon Wexler, Lin Drury, Jeffery A. Stahl

International Nursing Research Congress (INRC)

Background: South Asian immigrants (SAIs) in the US have a disproportionately high prevalence of metabolic syndrome (MetS), leading to increased risks of cardiovascular disease and diabetes. Increased waist circumference and early-onset heart disease further potentiate health disparities, underscoring the need for culturally tailored interventions. Digital health interventions (DHIs) have been recognized for their potential to effectively support lifestyle modifications in minority populations, including SAIs, by providing accessible and culturally tailored health management solutions.

Purpose: The purpose of the study is to evaluate the effectiveness of a culturally tailored digital health intervention (CT-mHealth) in reducing MetS among SAIs in Hudson Valley, …