Digital Commons Network^™

Visualizing Model Expression And Non-Verbal Communication In A Generative Application, Karen Kaushansky, James Zanoni, Ryan Pham, Dimitri Luedemann, Kinda Akash, Ricardo Escutia, Alison Cramer, Matias Duarte, Olivier Gillaizeau, Nathan Goodell, Ryan Kiley, Mike Guss

Defensive Publications Series

Modern generative applications often facilitate voice-based interactions where models are used to identify user tone and paralinguistics. However, non-verbal communication from the model is typically not reflected visually to the user, leading to a disconnect in the natural flow of dialogue. This disclosure describes a method for visualizing model expression and emotion through an animated interface affordance. Emotional intent and expressivity are captured as metadata tags, including intensity, confidence, and timing. These tags are then used to generate synchronized animations in a non-anthropomorphized visual shape. This visual representation occurs both while the user speaks and during the model's response. The …

Cost Analysis Formulation For Pv–Evcs–Dstatcom Integrated Distribution Systems Using Enhanced Hunter–Prey Optimization, Pappu Soundarya Lahari, Varaprasad Janamala

Mansoura Engineering Journal

With the rapid and significant growth of Electric Vehicles (EVs) and Distributed Generation (DGs), such as Photovoltaic (PV) deployment, in the distribution system, it is essential to address the challenges of rising power losses, voltage fluctuations, and reactive power imbalances. Optimal DSTATCOM placement in PV-EV integrated systems to mitigate power quality issues is an effective solution. It is thus necessary to evaluate the economic considerations of such heavily compensated networks. This study proposes Enhanced Hunter-Prey Optimization (EHPO) to assess the net savings of the PV-EVCS-DSTATCOM integrated IEEE-33,69, and 118 bus distribution networks in both single and multi-objective modes. The multi-objective …

The Veil Of Jurisprudence: How International Law Masks Coercive Violence, Kenneth H. Mcmillen

Linfield University Student Symposium: A Celebration of Scholarship and Creative Achievement

Who enforces international law? The answer lies in the different countries that make up international treaties and bodies that legislate international law. These laws conceptually are supposed to serve the same purpose that laws domestically do. They are meant to preserve justice for the different nations, with a theoretical framework that follows liberal ideals popularized by theorists like H.L.A Hart. However, these conceptions are wholly inaccurate as they lack the historical context that any analysis and justification of a system must need to be valid. I begin with a historical analysis of how the legal system has been used under …

Behavioral Effects Of Cocaine After Activation Of Cb1 Cannabinoid Receptors In Male And Female Mice, Cade Baughman, Jejun Lee, Jessica Acheampong, Jihoon Choi, Sarah Seeley, Manoranjan Dsouza

ONU Student Research Colloquium

The goal of this study was to assess the behavioral effects of cocaine following activation of CB1 cannabinoid receptors in male and female mice. This study was undertaken because recently published data suggest sex-dependent behavioral differences after CB1 receptor activation. However, the sex-dependent effects of CB1 receptor activation on the rewarding and psychomotor effects of cocaine have not been systematically evaluated. This study aimed to address this gap in knowledge. The study will use adult male and female C57BL6 mice. CB1 receptors will be activated using synthetic cannabinoid WIN 55212. Behavioral effects assessed after CB1 receptor activation will include both …

Effects Of Limb Dominance On Dopaminergic Neurodegeneration In A 6-Ohda Rat Model Of Parkinson’S Disease Assessed By Immunoblotting, Jasin Aziz Porshia, Deanna Chaialee, Dipesh Pokharel, Kala Venkiteswaran, Thyagarajan Subramanian, Dilshan Beligala

ONU Student Research Colloquium

Effects of Limb Dominance on Dopaminergic Neurodegeneration in a 6-OHDA Rat Model of Parkinson’s Disease Assessed by Immunoblotting

Jasin Porshia^a , Deanna Chaialee^a , Dipesh Pokharel^b,c , Kala Venkiteswaran^{b, c, d} , Thyagarajan Subramanian^{b, c, d}, Dilshan Beligala^a

^aDepartment of Biological Sciences, Ohio Northern University, Ada, OH, USA

^bDepartment of Neurosciences and Psychiatry, The University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA

^cDepartment of Neurology, The University of Toledo College of Medicine and Life Sciences, Toledo, OH, USA

^dDepartment of Neurology, Howard University, Washington, DC, …

A Single Administration Of Psilocybin Is Ineffective In Reversing Ptsd-Like Sequelae In A Rat Model Of Stress-Enhanced Fear Learning, Kylie M. King, Marisa J. Savini, Noelle M. Molnar, Evelynn J. Schneider, Savannah E. Straub, Joe Parker, Lillianna P. Puppel, Aleece K. Al-Olimat, Allison M. Bach, Phillip R. Zoladz

ONU Student Research Colloquium

Single treatments with psychedelics produce rapid, long-lasting antidepressant effects. Psychedelics may also exert anxiolytic effects and be useful in treating more complex psychiatric conditions, such as PTSD. However, less is known about the impact of these agents on PTSD-related symptoms. Thus, we aimed to determine whether a single administration of psilocybin could reverse PTSD-like sequelae induced by stress-enhanced fear learning in rats. Sprague-Dawley rats were placed in Context A (circular, white conditioning box) and exposed to several uncontrollable footshocks (Stress) or no footshocks (No Stress). The next day, the rats were placed in Context B (square conditioning box with clear …

Psilocybin And The Related Tryptamine, Norbaeocystin, Exert Acute Anxiogenic Effects That Depend On Sex, Marisa J. Savini, Kylie M. King, Noelle M. Molnar, Evelynn J. Schneider, Savannah E. Straub, Joe Parker, Lillianna P. Puppel, Aleece K. Al-Olimat, Allison M. Bach, Andrew Jones, Phillip R. Zoladz

ONU Student Research Colloquium

Single treatments with psychedelics have demonstrated rapid, long-lasting antidepressant effects. However, psychedelics often produce unfavorable psychoactive effects that could worsen existing psychological distress. Thus, we compared the effects of psilocybin and the related tryptamine, norbaeocystin, on anxiety-like behavior in male and female rats. In Experiment 1, rats were treated with 1 mg/kg psilocybin (PSIL), 1 mg/kg norbaeocystin (NOR), or vehicle 30 min before a 5-min trial on an elevated plus maze (EPM) or in an open field test (OFT). On the EPM, PSIL led to decreased open arm time and fewer arm entries in males and females. NOR led to …

Impact Of Caffeine On Participant Memory For A Stressful Experience And The Development Of Intrusive Memories, Jaycee L. Kirkland, Kaylina R. Mcclenen, Natalina E. Porter, Sarah M. Wood, Julia Gross, Madilyn E. Paphanchith, Kelsey M. Siereveld, Jasmine Ic Ifeakanwa, Caeden M. Gurganus, Koen N. Suzelis, Aiden J. Farrell, Boyd R. Rorabaugh, Phillip R. Zoladz

ONU Student Research Colloquium

Most individuals consume caffeine on a daily basis. Research has shown that caffeine stimulates the release of glucocorticoids and catecholamines and can enhance cognition. Caffeine also amplifies stress-induced increases in arousal and aggravates PTSD-like symptoms. Thus, we examined the impact of caffeine on memory for a stressful experience and intrusive memories related to that experience. Undergraduate students ingested caffeine or a placebo. Thirty minutes later, they were exposed to the Trier Social Stress Test (TSST; stress condition) or friendly-TSST (f-TSST; control condition), both of which were designed to enable participant memory for the experiences to be quantified. In each condition, …

Role Of Cb1 Receptors In Mediating Thermal Pain In Male And Female Mice, Jessica Acheampong, Sarah Seeley, Manoranjan S. Dsouza

ONU Student Research Colloquium

Pain is responsible for significant morbidity and mortality in the United States and all over the world. CB1 cannabinoid receptors have been reported to play a role in pain. Also, more recently sex-dependent behavioral differences after CB1 receptor activation have been reported. However, the sex-dependent effects of CB1 receptor activation on thermal pain have not been systematically assessed. This project will address this gap in knowledge. The study will use adult male and female C57BL6 mice. CB1 receptors will be activated using the synthetic cannabinoid WIN 55212. Thermal pain will be assessed using the hot plate method. Data for the …

Cultivating Home: Nepali Migrants And Gardening As Everyday Rhetoric, Menuka Gurung Lama

Frontera Retórica Symposium

Rhetorical knowledge is often discussed through formal institutions and textual traditions, leaving everyday community practices underexamined. This paper engages the theme “Rhetoric from the Margins” by examining how Nepali migrants’ gardening practices in Hooksett, New Hampshire produce knowledge outside dominant academic and institutional frameworks. I ask: How do Nepali migrants use gardening as a way of making meaning, sustaining memory, and cultivating belonging in unfamiliar environments? In what ways does gardening function as a rhetorical and epistemic practice through which migrants carry and transform land-based knowledge across borders? Rather than treating gardening simply as leisure or subsistence activity, I examine …

Abstract Book (Pdf), Lsu Health School Of Medicine

Medicine Research Day

No abstract provided.

Hybrid Queue Management For Value-Based And Chronological Content, Joshua Chandiramani, Husain Wafaie, Danny Tom, Shreya Sawkar, Dan Padgett, Derek Reiersen

Defensive Publications Series

This disclosure describes a method and system for managing a prioritized queue that integrates content items from multiple sources, specifically balancing items assigned a value-based metric with items following a chronological delivery rule. By utilizing a linear data structure and a specialized sorting logic, the system ensures that high-value entries are prioritized for delivery while chronological entries maintain their relative order and predictable advancement through the queue. This dual-logic approach prevents the systematic deprioritization of items that lack a financial metric, thereby satisfying delivery expectations for diverse campaign types.

Keywords: Queue Management, Priority Sorting, Linked List, Mobile Content Distribution, …

Physically‑Aware Fault Modeling And Test Pattern Selection Using Multi‑Layer Perceptron Networks, Sandipan Sharma, Srinivas Vooka, Maheedhar Jalasutram, Pranav Murthy

Defensive Publications Series

Conventional semiconductor fault models often assume a linear correlation between fault counts and chip fallout, assigning equal weight to each fault node.  This approach fails to account for non‑linear outliers attributed to specific physical design features, leading to suboptimal fallout prediction and inefficient test pattern prioritization.  A method is disclosed that utilizes a multi‑layer perceptron network to generate physically aware fault models.  A fault feature matrix is constructed from physical design data that incorporates features (e.g., total net length, via density, proximity to power rails).  This matrix is processed by a fully connected neural network trained on production fallout data …

Hardware‑Interlocked Power Request Signaling For Secure Root‑Of‑Trust Operations, Rohit Sinha, Naved Kazi, Anchal Vijay

Defensive Publications Series

Traditional power management for secure memory operations often depends on external software to identify and request high‑voltage rails before sending commands to a secure entity. This reliance may create synchronization risks where memory programming might begin before power is stable, and involves non‑secure components inspecting secure directives, potentially exposing sensitive information. This publication describes a hardware‑interlocked handshake mechanism between a Root‑of‑Trust and a Power Manager to manage power rails on‑demand. The Root‑of‑Trust independently identifies the request for high‑voltage power and asserts a hardware request signal. The Power Manager receives a hardware interrupt, enables the indicated power rail, and returns a …

Bypassing Distributed Access Control For Subsystem‑Level Debugging, Rohit Sinha, Sumit Jha, Mayank Tutwani

Defensive Publications Series

Distributed access control in modern heterogeneous architectures often leads to debugging complexities during software development. Security enforcement logic is typically embedded across multiple initiators and targets, creating a wide search space when failures occur. It is often difficult to distinguish between functional software bugs and access control misconfigurations, as both may result in similar system behavior or silent failures. A system and method are disclosed for the selective relaxation of access control policies through a hardware‑assisted debug controller. The debug controller may provide granular enable signals to individual subsystems. Each subsystem may include a control status register that, when qualified …

A Hybrid Cryptographic Encoding System Combining Aes-256- Gcm Authenticated Encryption, X25519 Forward Secrecy, Shamir Threshold Key Management With Biometric Access Gating, And A Pluggable Steganographic Output Layer, Naveen Rajan

Defensive Publications Series

A hybrid cryptographic encoding system is disclosed in which plaintext is encrypted using AES256-GCM keyed via an X25519 ephemeral-static Diffie-Hellman key agreement, optionally protected at rest by a Shamir K-of-N secret-sharing scheme whose shares are individually gated by biometric fuzzy extractors, and the resulting authenticated ciphertext is rendered through a pluggable steganographic output layer (key-permuted Morse, Base64, or linguistic steganography). The combination delivers confidentiality, integrity, forward secrecy, threshold multi-party access control, and format-agnostic camouflage in a single interoperable pipeline.

Codex Oracle Architecture (Coa): Signal‑Driven, Meta‑Orchestrated Multi‑Agent Coordination For Autonomous Code Generation, Johny Manuel-Devadoss

Defensive Publications Series

This disclosure describes a novel orchestration architecture for multi‑agent code generation systems, referred to as the Codex Oracle Architecture (COA). COA introduces a signal‑driven coordination layer, a meta‑orchestrator (“Oracle Layer”), and a structured conflict‑resolution mechanism that enables large‑scale, adaptive, and emergent collaboration among heterogeneous AI agents. Unlike existing multi‑agent frameworks that rely on static workflows, deterministic message passing, or hierarchical control, COA enables dynamic agent activation, probabilistic decision making, and context‑aware collaboration. The architecture is designed to support autonomous code generation, refactoring, debugging, and long‑term software evolution in complex environments.

Human-In-The-Loop Workflow For Ai-Assisted Preliminary Bug Investigation, Mira Leung

Defensive Publications Series

A disclosed technology can address challenges in managing new software bugs when engineering capacity is limited, a situation which can be impacted by time-consuming initial investigations. The technology can provide a structured, human-in-the-loop workflow where a bug reporter may use an artificial intelligence (AI) assistant, such as a large language model, to perform a preliminary analysis at the point of bug discovery. This process, which can be guided by structured prompts, may generate an enriched bug report containing analysis from the AI, including, for example, potential root causes, code pointers, and ownership suggestions. By shifting a portion of the initial …

Ai-Driven Pipeline For Automated Prompt Refinement Using Evaluation Feedback, Cristina Elena Budurean, Quinn Halpin, Ibrahim Gunay

Defensive Publications Series

Conventional methods for improving generative artificial intelligence (AI) prompts can rely on manual analysis of evaluation feedback, a process that may be time-consuming, subjective, and may not scale effectively. A data-driven pipeline is described that can facilitate automated prompt refinement. The system may operate in a feedback loop, ingesting evaluation data, for example, rater scores and qualitative comments. The system can then use a large language model to perform a multi-stage analysis that may include sanitizing data, diagnosing response failures, extracting successful patterns, and resolving potentially contradictory feedback to generate a revised prompt. This approach can support a more scalable, …

Active Permeability Control Of A Magnetic Shield For Haptic Actuators, Vincent Chung, Vander Fang, Jianxun Wang, Matilda Lai, Chuck Tally

Defensive Publications Series

Magnetic interference between haptic actuators and sensitive magnetic sensors can present a challenge in compact electronic devices, such as smartphones or wearable devices. While a static high-permeability shield may contain stray magnetic fields from an inactive actuator, it could also impede the magnetic flux during haptic operation, potentially reducing actuator efficiency. Systems and methods can address this by actively controlling the shield's permeability. For example, a shield made from a high-permeability ferromagnetic material can at least partially enclose the haptic actuator. A permeability-modulation circuit and an associated drive coil can be used to selectively drive the shield material into magnetic …

System For Real-Time User Compositing Into Media Streams Using Generative Ai Conditioned On Extracted Scene Context, Dev Daftari, Akash Verma

Defensive Publications Series

A system is described for compositing a user's image into media streams protected by digital rights management (DRM). The system may operate via a multi-stage pipeline, which can begin with context extraction on a user device, such as a smartphone or smart television. Computer vision models may analyze a media stream to create a context packet detailing information such as scene lighting, spatial depth, and artistic style. This packet can then be used to condition a generative artificial intelligence (AI) model, which may synthesize the user's likeness into the scene with corresponding visual characteristics. A resulting composite can be rendered …

Border Gateway Protocol Prefix Limit Negotiation Or Prefix Limit Advertisement, N/A

Defensive Publications Series

The technology described in this paper relates to negotiating and advertising border gateway protocol (BGP) prefix limits between peering network devices. By exchanging configured prefix limit values during BGP session establishment, sending and receiving devices can establish an operational prefix limit to avoid unexpected session terminations. The lowest configured limit can serve as the operational limit, or a receiving device can advertise its limit to a sending device to cap advertised routes. Subsequently, when limits are reached, newer or random prefixes for sessions, if a session is restarted or cleared, can be blocked rather than being terminated.

Semantic Discovery And Composite Ranking Of Skill Instruction Files In An Ai Agent Marketplace, Aaron Burton

Defensive Publications Series

A method for discovering and ranking skill instruction files published to an AI agent marketplace using a composite scoring function applied to a vector index. When a querying agent submits a natural language query expressing a desired capability outcome, the system computes a composite relevance score for each indexed skill by combining embedding cosine similarity between the query and the skill description, declared constraint compatibility between the skill and the querying agent's operational profile, and an optional historical quality signal derived from prior benchmark completions. The ranking layer operates entirely upstream of any licensing, payment, or entitlement system and returns …

Structured Telemetry Span Schema For Ai Agent Skill Instruction Execution, Aaron Burton

Defensive Publications Series

A method for emitting structured observability telemetry during AI agent execution by keying each telemetry span to entries within a skill instruction file. Each span record carries a span identifier, a parent span identifier for trace hierarchy, a reference to the originating skill file, a reference to the specific capability entry being exercised, an optional reference to any constraint that was evaluated during the span, a hash of the pre-execution context, a hash of the post-execution output, elapsed duration, a list of tool invocations made during the span, and an optional score field that records a numeric value produced by …

Cross-Provider Skill File Portability Shim For Behavioral Constraint Preservation Across Ai Tool Frameworks, Aaron Burton

Defensive Publications Series

A method for translating a canonical AI skill instruction file into provider-specific tool definitions for multiple target AI frameworks while preserving behavioral constraint metadata through explicit mapping rules. The skill instruction file is authored in a single canonical format containing structured capability entries with execution parameters and behavioral constraints. A translation layer ingests this file and emits provider-specific adapter definitions for OpenAI function calling JSON schema, Anthropic Claude tool-use schema, LangChain Tool class Python stub, and Model Context Protocol capability manifest JSON. Constraints that have no direct equivalent in the target framework are emitted as a standardized annotation block rather …

Skill Instruction File Dependency Resolution And Version Pinning For Ai Agent Runtimes, Aaron Burton

Defensive Publications Series

A method for resolving cross-file dependencies between AI agent skill instruction files using semver-style version range constraints declared within each file, analogous to dependency resolution in software package managers such as npm, pip, and Cargo. Before agent invocation, a resolver traverses the dependency graph formed by inter-skill "requires" declarations, computes a consistent version assignment satisfying all range constraints across the entire graph, detects version conflicts between incompatible requirements, and either selects a valid resolution or emits a structured conflict report identifying the incompatible pair. A sidecar lockfile is produced at the completion of resolution, recording the exact resolved version of …

Multi-Agent Skill File Negotiation Protocol For Stateless Capability-Based Workflow Assignment, Aaron Burton

Defensive Publications Series

A method for coordinating task assignment across multiple AI agents in a multi-agent workflow by having each agent advertise its capabilities and constraint parameters at the start of each session, with a stateless message broker collecting those advertisements and selecting an assignment that covers the full capability set of the requested workflow at the lowest aggregate constraint cost. Each agent re-advertises per session, eliminating dependence on a persistent central skill registry. Tie-breaking uses historical completion latency self-reported by each agent. The method enables capability-based task distribution across heterogeneous AI agents without requiring any agent to hold global knowledge of its …

Arachne Aero-Skin, Michael Victor Caldwell Mr.

Defensive Publications Series

The Arachne Aero-Skin is a passive aerodynamic surface film designed to reduce aircraft skin-friction drag through microstructured riblet geometry aligned with local airflow. The system is intended for external application on non-structural aircraft surfaces and is designed for manufacturability, durability, and measurable performance under realistic contamination, cleaning, and environmental conditions.

This Phase 1 system excludes active flow control, propulsion modification, plasma systems, or engine integration.

The Virtual Content Viewing Device That Consists Of 8 Projection Configurations That Are Spatially Configured In A Curved And An Adjacent Manner To Provide A Greater Virtual Field Of View That Includes The Far Peripheral Areas., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a virtual content viewing device that consists of 8 projection configurations that are spatially configured in a curved and an adjacent manner to provide a greater virtual field of view that includes the far peripheral areas. The entire virtual content viewing device altogether consists of 8 identical projection configurations. And the entire virtual content viewing device will consist of a left projection system and a right projection system. The left projection system will contain 4 identical projection configurations. And the right projection system will contain 4 identical projection configurations. The containing 8 identical projection configurations will have …

Privacy-Preserving Cross-Customer Threat Intelligence Platform With Embedded Ml, Predictive Attack Trajectory, And Multi-Agent Trust Management For Web, Mobile, And Ai Agent Protection, Duncan Ndegwa Ndungu

Defensive Publications Series

This publication discloses twelve platform-scale security intelligence inventions for web, mobile, and AI agent protection. Core platform inventions (B1–B4) include: privacy-preserving cross-customer threat intelligence via a two-layer alias architecture with k-anonymity; SDK-embedded quantized ML inference (<100KB, INT8, sub-5ms) with knowledge distillation and signed over-the-air updates; consent-scoped alias lifecycle management for automatic GDPR/CCPA compliance; and multi-hop AI agent trust chains with configurable attenuation and cascading revocation. Advanced security infrastructure (B5–B10) covers IDOR detection via per-alias resource access baselines, runtime dependency integrity verification via Ed25519-signed manifests, AI agent output exfiltration detection via semantic and entropy analysis, multi-level TLS certificate pinning with safe rotation and air-gapped fallback, constant-time authentication response orchestration, and shadow agent detection via distributed registry and behavioral fingerprinting. Predictive infrastructure (B11–B12) includes DNS hijacking detection via multi-path resolution consensus with challenge-response verification, and a Bayesian predictive attack trajectory engine with pre-emptive countermeasure deployment and outcome feedback learning.