Digital Commons Network^™

Governed Per-Tenant Knowledge Store For Ai-Assisted Security Incident Analysis, With Adversarial Verification And Customer Dispute Veto, Alpenshield Gmbh

Defensive Publications Series

A multi-tenant security operations platform maintains, for each customer tenant, a store of discrete environment facts that are compiled into a briefing consumed by an AI analysis pipeline for every security incident. Facts carry provenance classes, lifecycle states, evidence counters, validity windows, and stable natural keys. Facts learned automatically from closed incidents pass a two-stage verification: an adversarial language-model pass checks that every concrete identifier in a candidate fact appears verbatim in the incidents it cites, and a deterministic set check validates the citations themselves. Failing candidates carry a machine-readable quarantine annotation naming each unsupported identifier. Activation requires a minimum …

Gpu Ray Tracing And Di!Erentiable Multi-Physics Innovations, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of GPT-5.2 Thinking and Gemini 3 Reasoning, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). Description: defensive publication covering enabling inventions around GPU/RT-core ray tracing, differentiable simulation, experimental validation, interoperability (standards), operational security, sustainability, and cross-domain applications (RF/LiDAR/IR/acoustics/seismology/climate/nuclear/biophotonics/medical), …

Model-Agnostic Search-Augmented Llm Pipelines For Production-Scale Company Data Validation, Enrichment And Normalization, Hp Inc

Defensive Publications Series

This paper presents a vendor-agnostic, search-augmented large language model (LLM) pipeline that validates, enriches, and normalizes company records using grounded information from public web sources. The pipeline addresses enterprise requirements for official names, addresses, tax identifiers, revenue, industry classifications, and related compliance metadata where manual validation, database lookups, and rule-based integration pipelines struggle with incomplete, inconsistent, multilingual, and region-specific inputs. The architecture uses a central control framework to orchestrate native-search and tool-calling web-enabled LLM providers under production constraints, including context limits, tokens-per-minute (TPM), requests-per-minute (RPM), maximum batch size, concurrency, incomplete outputs, safety filtering, and provider-specific response formats. It combines batch-admission …

Resource-Constrained Multiprocessing Packet Pipeline With Shared Configurable Elements, N/A, N/A

Defensive Publications Series

A subsystem for network packet processing uses a pool of shared, configurable processing resources. The architecture includes these shared processing elements, a centralized event processing engine, and a partitionable shared memory. The event processing engine accumulates events from the packet pipeline and forwards them as tasks to the processing elements. These elements, which may be implemented as microcode sequencers, execute writable microcode firmware to perform logical and arithmetic operations and handle interrupts independently of a central processing unit. The processing elements access the shared memory to exchange state and packet data between processing stages. This approach improves resource utilization and …

Neuromorphic Soft Swarm Robotics, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of GPT-5.2 Thinking and Gemini 3 Reasoning, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). It discloses enabling systems and methods combining soft actuation (HASEL/EAP), event-based vision (DVS), neuromorphic computing (SNN), and swarm intelligence, covering devices/sensors, closed-loop control, …

Memory-Based Lock-Free Inter-Process Communication, Vlad Popa, Andy Hung, Atneya Nair, Mikhail Naganov, Shunkai Yao, Eric Laurent, Jean-Michel Trivi

Defensive Publications Series

A lock-free inter-process communication (IPC) system can utilize shared memory to broadcast system events from a single writer process to multiple reader processes. The system employs a shared memory circular queue and an atomic sequence counter that increments before and after write operations, allowing readers to determine if an active write is occurring. By calculating an active queue index using the sequence counter, reader processes can safely access previously committed historical state data without blocking or busy-waiting. This non-blocking architecture prevents IPC message queue overflows for frozen or suspended background applications, eliminates priority inversion, and avoids the thundering herd problem …

Adaptive Control Of A Media Environment Using Synchronized Physiological Data, Rohit Jain

Defensive Publications Series

Media environments can operate without awareness of a user's physiological state, and some integration methods may be limited by factors such as high-latency cloud processing or simplistic control actions. A system is described that can establish a low-latency communication channel between one or more wearable devices, such as a smart watch or fitness tracker, and a media playback system, for example, a smart television or streaming device. With appropriate user consent, physiological data, such as heart rate variability and electrodermal activity, can be transmitted from the wearable device and processed locally on the media system. Based on this real-time analysis, …

Context-Aware Personalization, Kate Strudwick, Zoe Schladow

Defensive Publications Series

This disclosure describes an automated process for transparent algorithmic profiling and data shaping that allows an individual to actively curate environmental and physiological data to dynamically guide and personalize machine learning models. By moving beyond rigid history logs or binary input structures, the techniques of the disclosure enable a traceable, user-directed taste profile that maps real-world context onto digital preferences and actively seeds future recommendation behaviors to counteract algorithmic flattening. The disclosed system helps Artificial Intelligence (AI) models, including foundation models, generative AI models, and/or large language models (LLMs), capture and interpret multifaceted human data streams to accurately personalize user …

The Dynamic Schema Generation With Error-Triggered Renegotiation For Agent-Tool Binding, Nicolas Zimmermann, Isaac Leimgruber

Defensive Publications Series

Some methods for binding autonomous agents to external tools can rely on static interface schemas, which may be inefficient, for example, by consuming large context windows, and can be brittle to changes in a tool's application programming interface. A system is described where an agent can transmit a semantic intent describing a desired task outcome. In response, one or more tool providers can dynamically generate a minimal, task-specific interface specification tailored to that intent. The system can also feature an error-triggered renegotiation mechanism, allowing an agent to report an execution failure, which prompts the provider to generate and resubmit a …

Evidence-Based Guidance System For Data Science Teams Using Generative Ai Under Uncertainty, Kristoffer Ahlstrom-Vij

Defensive Publications Series

A method for implementing evidence-based guidance for a data science team using generative artificial intelligence under uncertainty is provided. The method includes reviewing existing evidence on generative AI in knowledge work, including empirical literature on productivity effects, cognition and skill formation, and human factors research on automation complacency and cognitive offloading. The method includes evaluating the existing evidence across parallel considerations and deriving a plurality of principles from the existing evidence. The principles include an accountability principle stating that accountability for work cannot be self-certified, an aggregation principle directing to read more but not think less, a writing reservation principle …

Generative Synthesis Of Context-Aware Media Recaps And Alternative Narratives, Dev Daftari, Akash Verma

Defensive Publications Series

Systems and methods can use generative artificial intelligence to synthesize personalized media content. For example, when a user returns to a series, a system can generate a dynamic recap designed to be spoiler-free based on a user's last-viewed point, for instance, by retrieving relevant plot information from a media knowledge graph. The technology could also generate alternative narrative scenes based on user prompts, for example, by using system guardrails to promote stylistic consistency with the source material. These techniques may provide personalized user interactions, potentially improving viewer re-engagement with serialized content and extending interaction with media franchises within a media …

A Generative System For Real-Time Audio Dubbing With Voice And Emotion Transfer, Dev Daftari, Harsh Rajotiya

Defensive Publications Series

Systems and methods are disclosed for real-time media localization that may address potential scalability and fidelity limitations of some conventional approaches. A technical solution may involve a multimodal generative pipeline, which can be implemented on a hybrid edge-cloud architecture. For example, a system can separate dialogue from background audio on a client device (e.g., a smartphone, smart television, personal computer, wearable device, or augmented reality glasses). The isolated dialogue may then be processed to transcribe speech to text and to extract paralinguistic features, such as vocal timbre and emotional tone. This information may be processed by a large language model …

Dynamically Generating Immersive Environments For Extended Reality From 2d Media, Dev Daftari, Akash Verma

Defensive Publications Series

Watching two-dimensional (2D) media in extended reality can involve static virtual environments that may not be contextually linked to the content being viewed, which can reduce immersion. Systems and techniques are described for dynamically generating a 360-degree virtual environment from a 2D media stream. A system may analyze a buffer of video frames using computer vision methods to extract scene context, including three-dimensional geometry and lighting information. This extracted data can then be used as a seed for a generative artificial intelligence model to perform spatial outpainting, extending the original 2D scene into a volumetric environment. This process can transform …

Visual Indicators For Voice Access Application Windows And User Interface Components, Katherine Nelle Dektar, Mariah Sigourney Moon, Qian Yan

Defensive Publications Series

This publication describes a new accessibility feature for devices like smartphones, tablets, and computers that makes hands-free navigation and voice control much easier to use. When a person uses spoken audio input or speech commands to operate their device while multiple windows are open, it can be confusing to know exactly which app or screen they are controlling. To solve this, the device automatically figures out which application windows are unoccluded by other application windows on the screen and draws a bright, colorful border (like an accessibility focus ring) around them. This primary visual indicator shows the user exactly where …

Handling Delayed Esim Transfer Via Sm-Ds Push Notification, Chen Xu, Jack Yu, Amruth Ramachandran

Defensive Publications Series

This publication describes an alternative framework for managing delayed embedded Subscriber Identity Module (eSIM) transfers on mobile devices that avoids needing a carrier’s Entitlement Configuration Server (ECS) to manage cloud messaging tokens. During a delayed transfer, a carrier’s Subscription Management Data Preparation (SM-DP+) server notifies a Subscription Management Discovery Service (SM-DS) server when an eSIM profile becomes available. The SM-DS server then triggers a cloud messaging push notification to the mobile device’s Local Profile Assistant (LPA). To ensure a seamless user experience the LPA hides the raw push notification from the user interface. Upon receiving this hidden push notification, the …

System For Mitigating Electronic Pickpocketing In Contactless Payment Cards, Mahendra Yadav

Defensive Publications Series

The present disclosure provides hardware solutions for mitigating electronic pickpocketing in contactless payment cards. A smartcard includes an antenna shorting circuit placed across antenna terminals and driven by OR control logic so any proximity or pocket sensor can automatically short the antenna loop, and a series antenna clipping switch placed in the antenna feed and gated by AND control logic requiring deliberate dual pad touch to enable contactless operation. The designs use ultra-low-power capacitive touch sensors, RF-grade semiconductor switches or bilateral analog switches, and CMOS logic to preserve card form factor and contact functionality. The designs prioritize passive or energy …

The Challenges Of Romantic Relationships In Contemporary Societies, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3, GPT-5 Thinking and Grok, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (両匡丢氡儡吡嘡丣刡氢), and Japanese Patent Act Art. 29(1) (闘旧避). This disclosure details technical systems, methods, and architectures spanning ethical matching, socio-ecological scoring, closed-loop UX, a!ective VR, safety/consent, intergenerational models, community optimization, data …

Execution-Mode-Dependent Enforcement Of Version-Bound Consent For Delegated Recurring Automation, Alexander Bering

Defensive Publications Series

Disclosed is a species-level arrangement in which one participant's consent to run another participant's shared, versioned automation artefact is bound to the artefact version consented to, and in which the strength with which that binding is enforced depends on how the run was initiated. For machine-initiated recurring runs, the executing component re-checks the recorded version mark itself, unconditionally, before every run; a mismatch does not fail the individual run but moves the standing arrangement into a durable, named parked state in which it never fires again until a human acts. For human-initiated runs, the same mismatch is surfaced only against …

Virgin Grand Estates #60 Villa Association V. Inter Ocean Insurance Agency St Thomas Llc

2026 Decisions

USDC for the District Court of the Virgin Islands

Meshinsky & Associates Llc V. Continental Casualty Co

2026 Decisions

USDC for the District of New Jersey

Fmea-Based Risk Assessment And Improvements For Vascular Access Education In Hemodialysis, Nai-Hua Hsiao

International Nursing Research Congress (INRC)

This study evaluates and improves the patient education and care process before and after arteriovenous fistula surgery in hemodialysis patients. Inadequate implementation of this process may lead to multiple clinical risks. Currently, Southern X Hospital lacks a standardized patient education protocol, resulting in duplicated, omitted, or inconsistent content. These deficiencies negatively affect patients' comprehension and adherence, potentially leading to resource waste and reduced dialysis quality. To address these issues, this study applies Failure Mode and Effects Analysis (FMEA) to systematically identify potential failure modes within the education and care continuum. The CRITIC (Criteria Importance Through Intercriteria Correlation) method is used …

Multi-Interactive Teaching For Clinical Nursing Preceptors: Impact On Learning Styles And Competence, Shui-Tao Hu, Shu-Ling Yeh, Yi-Ling Chang

International Nursing Research Congress (INRC)

Background: Newly recruited nurses face high turnover and adaptation challenges, requiring clinical preceptors to possess diversified teaching competencies. Multi-interactive teaching, integrating simulation, discussion, and immediate feedback, can enhance teaching reflection and professional development.

Purpose: To examine the effects of multi-interactive teaching on clinical preceptors’ learning styles and teaching competence.

Design: Quasi-experimental, one-group pretest-posttest design.

Methods: Six multi-interactive workshops were conducted for experienced clinical preceptors, covering preceptor characteristics, learner learning styles, teaching competence, and strategies for coaching difficult learners. Workshops included seminars and real-time interactive communities. Participants were registered nurses (clinical ladder 3 or above, or ladder 2 with >5 years’ …

Nursing Students’ Experiences With Immersive Pediatric Emergency Learning, Hsiang-Yun Lan, Jen-Jiuan Liaw, Yu-Lun Tsai, Chen-Xi Lin, Chiao-Hsuan Lin, Pao-Ju Chen

International Nursing Research Congress (INRC)

Background: Pediatric emergencies are characterized by their unpredictability and complexity, yet opportunities for direct clinical exposure remain limited for undergraduate nursing students. This gap poses challenges to the development of clinical judgment and rapid response competencies.

Purpose: This study aimed to examine how the integration of immersive simulation and inquiry-based learning enhances nursing students’ learning outcomes and shapes their experiences in managing pediatric emergency scenarios, using a simulated child seizure event as the core exemplar.

Methods: A qualitative phenomenological approach was adopted. Purposive sampling was used to recruit 12 nursing students who had completed the instructional intervention. Data were collected …

Rewilding Health: A Global Nursing Framework For Nature-Based Interventions And Planetary Well-Being, Amber Lea Vermeesch, Mary Rockwood Lane, Erica Timko Olson

International Nursing Research Congress (INRC)

Purpose: Rewilding—defined as restoring natural ecosystems and reconnecting humans to nature—offers a scalable, evidence-informed strategy to advance global health goals identified by the World Health Organization and United Nations Sustainable Development Goal (SDG) 3. This project examines how nurses can operationalize rewilding and nature-based interventions (NBIs) as ethical, clinical, and policy actions supporting universal health coverage, mental health promotion, non-communicable disease prevention, and global well-being.

Background: Growing evidence demonstrates that exposure to nature reduces stress, improves immune function, decreases depression and anxiety, enhances cancer survivorship outcomes, and promotes social connectedness. Aligning with Watson’s Unitary Caring Science and Chinn’s Emancipatory Nursing, …

The Self-Aware Room: A Framework For Operational Self-Awareness In Evolvable Blended Environments, David B. Smith

Publications and Research

The Self-Aware Room (SAR) is a room-scale research environment developed within the larger Balanced Blended Space and Blended Reality Performance System research trajectory. Rather than treating the room as a conventional “smart” environment composed of fixed automation technologies, SAR approaches it as an evolvable blended environment made from physical, virtual, conceptual, sensory, computational, and performative relationships. Its defining feature is not any particular sensor, model, or output device, but the set of transformations through which physical activity becomes structured observation, bounded representation, interpreted state, governed decision, and mediated response.

This paper develops the conceptual and methodological foundations of SAR as …

God's Will Or Man's? The Power Of Religious Rhetoric In Shaping Wartime Domestic Policy Preferences, Claire E. Brimhall

Undergraduate Honors Theses

How do individuals represent their religious beliefs in the political sphere? Is this impacted by levels of conflict in a given society? In times of war, people of faith often rally behind leaders and policies that diverge from the values upheld by their religious institutions. In fact, in many such cases, religious affiliation and church attendance are among the strongest predictors of support for these political actors.

This thesis examines two such cases where religious voters support policies that contradict the moral teachings of their faith, advancing a theory that a state’s appeals to religion can fundamentally reshape how believers …

Molecular Pathogenesis And Genomic Profiling Of Fusobacterium Nucleatum: A Review Of Virulence Determinants & Antimicrobial Resistance Mechanisms In Dental And Systemic Infections, Mawahb Hatem Mones, Thariat Abdualrahman Al-Joubori, Ibrahim Faisal Ibrahim

Muthanna Medical Journal

Fusobacterium nucleatum is one of the key bacteria in the oral microbiota, which plays a key role in the structural integrity of dental plaque, an anaerobic bacterium. Emerging clinical evidence has increasingly linked this opportunistic pathogen to severe systemic pathologies, notably colorectal cancer and adverse pregnancy outcomes. This review synthesizes current genomic and molecular insights to elucidate the complex mechanisms driving fusobacterial virulence and antimicrobial resistance (AMR). We critically discuss the roles of key adhesins, such as FadA and Fap2, in modulating host cell signaling and facilitating immune evasion. Furthermore, we determine the genomic architecture involved in the transfer …

Software Tools And Simulation Exercises For Radiation Oncology Cyber-Attack Resiliency, Yevgeniy Vinogradskiy, James Lamb

Department of Radiation Oncology Faculty Papers

This review summarizes the rationale for radiation oncology cyberattack simulation exercises, recent results from multi-institutional resiliency drills, and the landscape of software tools developed to help clinics resume radiotherapy treatments rapidly and safely during a cyberattack or other major clinical software outage. Simulation exercises using record-and-verify (R&V) downtime and File Mode treatment delivery have identified failure modes not apparent in theoretical planning alone, including risks related to treatment documentation, repeated fractions, patient setup, and missed safety checks. Available software tools emphasize insulated backup of DICOM-format planning data and clinical notes, treatment-state dashboards, File Mode treatments, redundant R&V installations, and human-readable …

Parents’ Perceptions Of Their Children With Disabilities’ Mental Health During The Rapid Transition To Online Learning At The Time Of The Covid-19 Pandemic, Arnell Rorie Footman

Walden Dissertations and Doctoral Studies

The COVID-19 pandemic prompted an abrupt shift to online learning, raising significant concerns about the mental health of children with disabilities. Existing research highlights increased rates of anxiety, depression, and social isolation during due to the disruptions in structured routines and in-person support systems. This generic qualitative study, guided by Bronfenbrenner’s EST was conducted to explore parents’ perceptions of the mental health challenges experienced by their students with disabilities during the rapid transition to online learning at the time of COVID-19 pandemic. Data was obtained through semi-structured interviews in which parents voiced their perceptions and experiences concerning their children’s mental …

Exploring Elite Athletes’ Perceptions Of The Practice Of Mindfulness For Mental Health And Optimal Performance, Omar A. Sesay

Walden Dissertations and Doctoral Studies

Elite athletes experience physical, cognitive, and emotional demands that affect athletic performance and personal well-being, increasing the risk for anxiety, depression, burnout, attentional difficulties, and maladaptive coping strategies. Mindfulness-based stress reduction (MBSR) has been examined for its effect on attentional control, emotional regulation, cognitive flexibility, and stress resilience, but limited qualitative research has examined how elite athletes experience the practice of mindfulness. The purpose of this generic qualitative study was to explore elite athletes’ perceptions of the practice of mindfulness for mental health and optimal performance. The theoretical framework draws from mindfulness theory and MBSR principles. Semistructured interviews were conducted …