Digital Commons Network^™

Universal Power Governance Architecture With Isotopically Enriched Interfaces And Compliant Buffers, N/A

Defensive Publications Series

This disclosure relates to a universal power governance micro-architecture for sub-three nanometer heterogeneous processors. The architecture features an adaptive energy-state engine powered by an isolated sovereign power rail to compute a total energy state of a primary power rail and trigger a transient clamp based on a predictive Hamiltonian function. The system incorporates a semiconductor thermal interface structure with an isotopically enriched diamond layer, which may exceed 99.5% carbon purity, and a refractory metal adhesion layer forming a metal-carbide bond to facilitate ballistic phonon transport. Additionally, the architecture utilizes nanoporous compliant buffer sleeves around conductive vertical pillars to provide reversible …

Thermal Management System For Liquid-Cooled Electronic Modules During Transit, N/A

Defensive Publications Series

The present publication describes a thermal management system for protecting liquid-cooled electronic modules during transit. The system utilizes climate-controlled packaging featuring a phase change material to absorb and release heat. This approach maintains the internal temperature of the packaging within a desired range, helping to prevent liquid coolant residue from freezing during shipping. By regulating the thermal environment, the system facilitates the transportation of electronic modules containing liquid coolant, thereby streamlining logistics and deployment.

Split-Chassis Architecture For Solid State Memories, N/A

Defensive Publications Series

The present disclosure details a split-chassis hardware architecture for non-volatile data storage devices. The design physically and thermally decouples high-performance control logic from the storage media by utilizing two mechanically detachable sub-assemblies. A logic sled houses heat-generating components and signal conditioning circuitry, while a passive media vault contains the raw storage media and telemetry tracking components. The modules interface through compression connectors and a tension-latch mechanism.

Cognitive Drift Attacks In Long-Running Ai Agents (How Small Contextual Nudges Quietly Rewrite An Ai System’S Belief System), Pranav Bhatnagar Mr

Defensive Publications Series

Abstract

When AI Does Not Get Hacked, It Slowly Changes Its Mind…

Security discussions around artificial intelligence often assume that attacks must be sudden, visible, and disruptive. Researchers typically search for adversarial prompts, malicious inputs, data poisoning, or explicit manipulation of model outputs. Yet some of the most consequential failures in intelligent systems do not occur through abrupt compromise. Instead, they emerge through gradual shifts in the system’s internal interpretation of reality.

This paper introduces the concept of Cognitive Drift Attacks, a class of adversarial influence in which an AI system’s beliefs, assumptions, or interpretive patterns gradually change over time …

Memory Ghost Attacks In Persistent Ai Systems (When Yesterday’S Context Quietly Hijacks Tomorrow’S Decisions), Pranav Bhatnagar Mr

Defensive Publications Series

Abstract

Why the Most Dangerous AI Attacks May Come From the Past, Not the Present

Artificial intelligence systems are rapidly evolving from simple prompt-response tools into persistent cognitive environments that retain contextual memory across interactions. Modern AI assistants, enterprise copilots, cybersecurity analysis systems, and retrieval-augmented architectures increasingly store fragments of prior conversations, retrieved documents, and contextual reasoning signals to improve decision continuity. While this capability significantly improves usability and system intelligence, it introduces a subtle and largely unexamined security vulnerability residual contextual influence from past interactions.

This paper introduces the concept of Memory Ghost Attacks, a class of adversarial manipulation …

Odu Love Permanent Outdoor Public Sculpture Research/Proposal, Cristina N. White

Knowledge and Creativity Expo

For the Knowledge and Creativity Expo, I am proposing the installation of an official Virginia LOVEworks sign on the Old Dominion University campus, supervised by faculty member John Roth. This project is part of my own undergraduate research for becoming a public artist. This endeavor will assist in practical and direct training on submitting concepts in a Public Art RFP (Request for Proposal) for municipal, state and/or regional public sculptures, as well as avenues to obtain funding to execute and establish a successful career as a public artist.

As a Carnegie R1 research institution, ODU has a unique opportunity to …

Authority Injection Attacks In Ai Assistants (When Confidence, Titles, And “Expert Sources” Quietly Hijack Ai Reasoning), Pranav Bhatnagar Mr

Defensive Publications Series

Abstract

Why AI Systems Can Be Tricked by Information That Simply Sounds Important

Trust is one of the most powerful forces shaping human decision-making. People frequently evaluate information not only based on evidence, but also based on perceived authority. Titles such as “expert,” “official guideline,” or “research finding” often influence how strongly a claim is believed. Artificial intelligence systems trained on human language patterns inherit many of these same interpretive tendencies. This paper introduces Authority Injection Attacks, a class of adversarial influence techniques in which attackers manipulate AI reasoning by inserting information that appears authoritative or expert-level. Instead of directly …

Art Exhibition Of Metals And Fabric, Heather Nguyen

Knowledge and Creativity Expo

Heather Nguyen is an undergraduate senior majoring in 3D media and Material Studies. They will be exhibiting two artworks made of metal and fabric.

Client-Bound Provenance And Session Isolation For Multi-Tenant Llm Orchestration Frameworks, Amisha Kirti, Nazrulhasan Nishat Alam

Defensive Publications Series

Current Large Language Model (LLM) orchestration frameworks cannot cryptographically prove which end-client generated a request, trace, memory update, or provenance entry. This submission introduces a cryptographically enforced provenance and runtime isolation technique that binds every execution artifact to the originating client, preventing cross-tenant data leakage, cache contamination, audit ambiguity, and compliance failure, while enabling scalable shared backends.

Universal Ip Distillation Audit Template: A Methodology For Detecting Unauthorized Ai Training Data Ingestion, David Lee Wise, Avan Lee Wise

Defensive Publications Series

This document provides a replicable methodology for content creators to detect whether their intellectual property was ingested into AI model training without consent or compensation. The methodology uses behavioral testing across model versions to identify pattern transfer independent of terminology recognition. Core principle: If concepts from unpurchased, non-public works appear in model behavior after a training update — but not before — that is evidence of unauthorized ingestion. The template is designed for any creator (authors, artists, coders, researchers) to adapt to their specific IP and exposure window.

AI training data, intellectual property, IP audit, unauthorized ingestion, model versioning, pattern …

The Connected Information Interface That Can Be Observed From The Outside As An Observer And That Can Be Explored From Within The Inside As A Navigator Where New Information Is Generated By Zooming In And Zooming Out Operations., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a connected information interface that can be observed from the outside as an observer and that can be explored from within the inside as a navigator where new information is generated by zooming in and zooming out operations. The user of the connected information interface will be able to browse through and explore the connected information that will be presented utilizing the connected information interface. In order to experience this browsing and exploration procedures, the user will incorporate virtual technologies such as virtual reality and augmented reality. The information that will function as the connected information can …

Enhancing Model Precision With Quality-Aware Label Selection, Fei Liu, Manqi Zhao

Defensive Publications Series

A novel methodology is presented for enhancing the precision of machine learning models utilized in high-stakes domains, specifically systems for defense against malicious advertising activities (AdSpam defense). This approach addresses the substantial challenges posed by noisy and incomplete positive training labels common in real-world datasets. By systematically refining the positive label set, the methodology focuses on identifying and retaining only the most reliable and consistently represented spam patterns. This technique integrates model-based explainability, specifically SHapley Additive exPlanations (SHAP), with feature-based clustering to construct a high-quality training dataset. This process effectively mitigates the negative effects of ambiguous labels, unknown negative examples, …

Elbow Rub Test Fixture, Anonymous

Defensive Publications Series

An internal test fixture and method for evaluating wear resistance of vehicle interior trim components subjected to repeated elbow contact are disclosed. The fixture comprises a single pneumatic actuator coupled with a modular load applicator configured to deliver predefined normal loads, and an electronic control system based on a programmable microcontroller. The system enables reciprocating motion of a contact element over a test specimen to simulate customer interaction under controlled conditions. The disclosed fixture integrates standardized load modules and simplified control architecture to improve repeatability and reduce setup complexity.

Latency-Aware Arbitration Apparatus Using Lookahead Temporal Reservation Vector, N/A

Defensive Publications Series

This document describes a latency-aware arbitration apparatus that utilizes a lookahead temporal reservation vector. High-performance hardware systems often involve multiple producers sending data to a single consumer over paths with variable deterministic latency. To avoid data collisions without relying on extensive buffering, the described system implements time-slot reservation logic. A reservation bitmap tracks the future availability of the consumer interface, functioning similarly to a conveyor belt. Producers check the availability of specific time slots before transmitting data. This approach reduces storage demands and facilitates efficient bandwidth utilization while avoiding the area costs associated with deep latency-matching buffers. Keywords: Latency-Aware Arbitration, …

Zero-Latency Cold Start Via In-Band Application Context Streaming, N/A

Defensive Publications Series

The present disclosure is directed to achieving zero-latency cold starts in cloud computing environments utilizing in-band application context streaming to eliminate disk I/O bottlenecks. When a service becomes idle, a micro-snapshot generating engine performs differential state stripping to identify and serialize only modified memory pages and CPU register values into a micro-snapshot, which is then offloaded to the volatile static random-access memory (SRAM) of a programmable network switch or top-of-rack (ToR) switch. Upon detecting an incoming user request for the hibernated service, the switch may intercept the packet and inject the stored application context as a burst stream of packets …

Eliminating Stuck At Capture Mode In Static Timing Analysis By Design, N/A

Defensive Publications Series

The present disclosure is directed to eliminating adverse capture timing modes in static timing analysis (STA) through design. In high-performance integrated circuits, such as system-on-chip (SoC) designs, functional paths across independent intellectual property (IP) blocks are traditionally tested for stuck-at faults using a common slow-frequency off-chip clock. This may create complex timing closure scenarios due to large clock skew and crosstalk across IP boundaries. Large High Performance Compute SOCs in small technologies and specifically AI/ML Chips with high number of Multi Instantiated modules possess large volume of such paths.The present disclosure utilizes on-chip clock controllers (OCCs) within each IP block …

Integrating An Electrically Heated Reformer Into A Syngas-Based Direct Reduction Plant For Producing Direct Reduced Iron (Dri) With Reduced Carbon Dioxide Emission, Gianluca Pauletto, Martin Baumgaertl

Defensive Publications Series

The present technical disclosure relates to a direct reduction iron (DRI) plant as well as to process configurations for integrating an electrically heated reformer into a syngas-based direct reduction plant for the production of direct reduced iron with reduced carbon dioxide emissions. More particularly, the present technical disclosure relates to plant configurations and associated operating processes that replace, either partially or fully, a combustion-heated top gas reformer with an electrically heated reformer, wherein the thermal energy required for the endothermic reforming reactions is supplied by electric heating.

Triple-Seal Split Plug Valve With Tight Shutoff For High-Pressure Minimum Flow Applications, Iniyankarthik Telungupalayam Ramakrishnan, Senthil Ramasamy, Joseph G. Shahda

Defensive Publications Series

Centrifugal pumps are widely used in industrial processes for transferring fluids under varying operating conditions. These pumps require a minimum flow rate to maintain internal cooling and prevent damage caused by overheating, cavitation, and excessive vibration during startup, shutdown, or process upsets. Failure to maintain this minimum flow can lead to premature wear of pump components, seal failures, and reduced operational reliability.

Valves designed for minimum flow applications play a critical role in protecting centrifugal pumps. Such valves automatically recirculate a predetermined minimum flow back to the source or a storage tank during low-load conditions, including startup, shutdown, and process …

Sacrificial Integral Liner Plug Seating With Pressure Drop Offsetting For Flashing In Globe Valves, Iniyankarthik Telungupalayam Ramakrishnan, Senthil Ramasamy, Joseph G. Shahda

Defensive Publications Series

Ultra Supercritical (USC) power plants operate at extremely high pressures (typically above 250 bar) and temperatures exceeding 600°C to achieve maximum thermal efficiency. During boiler startup, water must be gradually introduced into the system to control thermal stress and prepare for steam generation. This process requires precise regulation of water flow under severe transient conditions. The water control valve used in this application is normally closed when the boiler is offline. Once opened, it operates continuously for approximately four hours during startup to manage controlled heating and pressure buildup. During this period, the valve experiences extreme operating conditions, including: • …

A System And Method For Real-Time Adaptation And Dynamic Learning Of Artificial Intelligence (Ai) Model, Yu Gu, Sheng Wang, Sam Hamilton

Defensive Publications Series

The present disclosure provides a method and a system for real-time adaptation and dynamic learning of artificial intelligence (AI) model. The method includes incorporating a decoupled multi-model architecture. The multi-model architecture comprises a base module and a feedback module. The method includes training the base module based on the historical transactions data to provide a generalized baseline prediction. The method includes training the feedback module based on the emerging data to provide a real-time prediction. Further, the method includes performing ensemble on the predictions of the base module and the feedback module to provide a reliable and accurate prediction of …

Method, System, And Computer Program Product For Processing A Transaction Using A Location-Based Model, Shawn L. Johnson, Justin Fan, Shizhuo Yu

Defensive Publications Series

Methods, systems, and computer-readable media are disclosed for executing electronic transactions using a location-based predictive model. In one implementation, a location of a user device is monitored and provided to a machine learning model configured to predict a merchant proximate to the device. Merchant information is presented via a user interface, and user input requesting transaction initiation is received. In response, a communication session is automatically established with a merchant application associated with the predicted merchant. The system automatically generates a transaction message comprising user transaction data, credentials, and contextual parameters derived from location and user state, and transmits the …

Annual Report Of The Tennessee Emergency Communications Board Fiscal Year 2023, Tennessee. Department Of Commerce And Insurance.

Emergency Communications Board Annual Report

No abstract provided.

Annual Report Of The Tennessee Emergency Communications Board Fiscal Year 2024, Tennessee. Department Of Commerce And Insurance.

Emergency Communications Board Annual Report

No abstract provided.

Two Wrestlers: An Unrealized Herculean Pendant To Michelangelo’S David, Theodore Mayberry

Knowledge and Creativity Expo

Following the completion of Michelangelo’s David 1504, Gonfalonier Piero Soderini presented the emerging Florentine artist with a proposal for a second statue on behalf of Florence’s government: a statue of Hercules to stand alongside the David at the entrance of the Palazzo Vecchio. Michelangelo readily accepted, however the commission never came to be; what remains of Michelangelo’s vision for the Herculean pendant now resides in the Casa Buonarroti Museum of Florence: a rough terracotta model of Hercules and Cacus. Upon review of the scholarship documenting Michelangelo’s unrealized Hercules as well as his David, an intriguing pattern can be observed …

Tennessee State Fire Marshal's Office Commissioner's Annual Report For 2025

Fire Marshal Annual Report

No abstract provided.

Nerves (Neurology Education Research And Observership Summer Program): A Pilot Fellowship Program Targeting Neurophobia In Pre-Clerkship Medical Students, Arlinda Deng, Daniela Fishbein, James Martindale, Elizabeth Bradley, William Alexander Dalrymple, Ryan Cappa

Journal of Innovation in Health Sciences Education

Introduction: Neurophobia has contributed to the shortage of neurologists nationally, especially given the lack of integration between basic neural sciences and clinical neurology. Neurophobia may be highest after the pre-clerkship course, and there is evidence to suggest that early and broad clinical neurology exposure and mentorship are the leading factors in choosing the field of neurology. The goal of this study was to develop a fellowship for pre-clerkship medical students to increase early exposure to diverse clinical settings and socialization in neurology and assess whether there was change in neurophobia.

Methods: A two-week long pilot summer fellowship was designed …

Gaming The Simulation To Assess Dpt Student Learning, Laura Stephens, Gretchen R. Prather

Journal of Innovation in Health Sciences Education

Introduction: The purpose of this study was to assess Doctor of Physical Therapy student learning and motivation through participation in a novel, gamified case study simulation while describing the application of International Nursing Association of Clinical Simulation and Learning (INACSL) Healthcare Simulation Standards of Best Practice^TM and application of game elements. Gamification is an emerging interest in health care education but has been minimally explored within physical therapy education in the United States. Additionally, published studies often fail to detail INACSL standards of simulation best practice or game elements in simulation design.

Methods: Sixty-five DPT students participated in …

Who Feeds On Whom? Identifying Ticks Feeding On Mammal, Brenna G. Albright, Christina Espada, Mykenna Zettle, Abbey Jones, David T. Gauthier, Holly Gaff

Knowledge and Creativity Expo

Study of tick-host association is critical to understanding host-pathogen ecology. Collection of ticks from mammalian hosts is difficult because of permitting, cost, and time considerations, particularly for medium and large mammals. The ODU Tick Research Team has been collecting ticks from mammals since 2010 using a combination of serendipitous sampling from roadkill and donations from veterinarians, hunters, and wildlife rehabilitators. In this work, we quantify the association between Ixodes scapularis and Ixodes keiransi and various mammalian hosts in Virginia. Ixodes scapularis (deer tick or blacklegged tick) is the primary vector of the Lyme disease bacterium (Borrelia burgdorferi s.s.) in …

Table Of Contents

D.U.Quark

No abstract provided.

Targeting Hypothalamic Oxidative Stress And Neuroinflammation: A Novel Neuroprotective Role For Annona Muricata Seed Extract In Aluminium- Induced Alzheimer-Like Neurodegeneration, O. A Bamgbose, O. D Akanji, P. B Fakunle, D. O Taiwo-Ola, K. O Odubela, E. O Olayemi, B. A Akanbi, B. M David

AUIQ Complementary Biological System

Alzheimer's disease (AD) is increasingly recognized as a multisystem neurodegenerative disorder involving oxidative stress and neuroinflammation beyond classical hippocampal pathology. The hypothalamus, a key regulator of metabolic and neuroendocrine homeostasis, remains comparatively underexplored in experimental AD models. This study investigated the effects of aqueous Annona muricata seed extract (SSE) on hypothalamic oxidative injury in an aluminium chloride (AlCl₃)-induced Alzheimer's disease–like model in Wistar rats. Adult Wistar rats of both sexes were randomly assigned to five groups (n = 5): control, AlCl₃ (100 mg/kg), SSE alone (200 mg/kg), AlCl₃ + SSE, and AlCl₃ + donepezil (10 …