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Articles 17611 - 17640 of 1791770
Full-Text Articles in Entire DC Network
Therepairer_Vol37no4_April1932
Therepairer_Vol36no3_March1931
Quantum‑Enhanced Wearable Diagnostic Device, Bala Surya Kiran Rumpavalasa, Sumedha Ghuliani
Quantum‑Enhanced Wearable Diagnostic Device, Bala Surya Kiran Rumpavalasa, Sumedha Ghuliani
Defensive Publications Series
Current medical diagnostics for systemic pathologies, which may rely on periodic and invasive clinical procedures, create a gap where sub-cellular shifts may progress undetected until physical symptoms manifest. Existing wearable biometric devices evaluate macro-level physiological lagging indicators and may lack the sensitivity to detect underlying atomic or chemical drivers of disease. Further, internal electromagnetic interference within consumer electronics may disrupt high-sensitivity quantum probes. This disclosure describes a computing device (the “device”) that utilizes a system-in-package containing synthetic diamond enriched with nitrogen-vacancy centers. A nested mu-metal shield encases the hardware to create a quiet zone, which allows the device to perform …
Zenbrain: A Neuroscience-Inspired 7-Layer Memory Architecture For Autonomous Ai Systems (V7), Alexander Bering
Zenbrain: A Neuroscience-Inspired 7-Layer Memory Architecture For Autonomous Ai Systems (V7), Alexander Bering
Defensive Publications Series
ZenBrain is an open-source memory architecture for autonomous AI systems implementing seven distinct memory layers inspired by cognitive neuroscience: working, short-term, episodic, long-term, procedural, core, and predictive memory. A unified MemoryCoordinator integrates fifteen validated neuroscience mechanisms — nine foundational algorithms (vmPFC-coupled FSRS spaced repetition with prediction-error gating, two-factor synaptic Hebbian dynamics for knowledge graphs, simulation-selection sleep consolidation modeling hippocampal replay, Bayesian confidence propagation, compositional context embeddings, spectral knowledge-graph health monitoring, context-adaptive information-bottleneck budgeting, dual-process chain-of-thought consolidation, and iMAD selective debate) and six Predictive Memory Architecture (PMA) components: NeuromodulatorEngine (dopamine/norepinephrine/serotonin/acetylcholine tonic levels with phasic prediction-error bursts and opponent-process dynamics), ReconsolidationEngine (memory …
Framework For Autonomous Agent Resilience Via Self-Correcting Execution Loops, Michael Kochera
Framework For Autonomous Agent Resilience Via Self-Correcting Execution Loops, Michael Kochera
Defensive Publications Series
Autonomous agents in complex workflows can be unreliable, potentially failing due to semantic errors, for example, incorrect tool usage, model hallucinations, or malformed outputs, which may not be addressed by some system-level fault tolerance methods. A resilient agent framework can introduce self-correction loops at the individual agent-execution level. The framework may operate by intercepting and validating an agent's actions; if a failure is detected, it can provide structured, context-aware feedback, enabling the agent to use in-context learning to self-correct and retry its immediate task. This approach improves the reliability of autonomous agents by helping to resolve semantic errors, reducing a …
The Picture Exchange Communication System (Pecs) As A Functional Form Of Low-Technology Aided Augmentative And Alternative Communication (Aac): A Systematic Review, Faith K. Curran
Pacific Journal of Health
This systematic literature review was completed with the aim of investigating the functionality of the low-technology aided Augmentative and Alternative Communication (AAC), Picture Exchange Communication System (PECS). In this review, functionality was defined by how successful AAC users used PECS. Fifteen peer reviewed primary sources which were published between 2020 and 2025 were selected to provide a current and relevant analysis. There was not enough current research to support the use of PECS across various functions of language. However, PECS is mainly used for one to two language functions, object requesting and commenting. Further research studying the success rates of …