{"authors":[{"id":"fa12c779-f7a1-48a0-88fb-d197cbea4fc4","name":"shui quan","orcid":"0009-0007-0411-1479","role":[],"nodesUserId":-1,"organizations":[{"id":"","name":"independent researcher"}]}],"components":[{"id":"root","name":"root","payload":{"cid":"bafybeihbdfndfyh7yspbaxrox6qpnesavhnoeszqy7u3c45aj6v37rwhxu","path":"root"},"type":{".pdf":"pdf"}},{"id":"6310ac7c-d011-48c0-9f30-60ac9a32d13f","name":"论灵魂的意义英文.pdf","payload":{"cid":"bafybeieb5v77f3tge32dhbytzqphl7yrzwqhq2p3xfpkxlcmkl35enc3hq","path":"root/论灵魂的意义英文.pdf","title":"Manuscript"},"starred":true,"subtype":"manuscript","type":"pdf"}],"defaultLicense":"CC BY","references":[],"researchFields":["Philosophical Thought in Ancient Greece and Rome","Islamic Studies and Theology","Medieval Philosophy in Islamic and Jewish Traditions"],"title":"High-Throughput Parallel System for Post-Material Information Pattern Isolation","version":"desci-nodes-0.2.0","description":"​Background: Traditional neuroscientific and ontological approaches often fail to quantify the essence of biological persistence due to cognitive biases and reductionist limitations. This paper proposes a paradigm shift, treating \"life\" and the \"soul\" not as metaphysical constructs, but as specific, observable Information Flows.\n​Methods: We introduce DeathScanner V10 Ultimate Parallel, a hardware-agnostic integrated architecture designed for large-scale comparative analysis. The system leverages a proprietary FusionEngine to process high-dimensional data streams across diverse biological states (Living, Deceased, and Non-life). By implementing a Hypothesis-Free Exclusion methodology, the framework systematically eliminates known physical and biological variables to isolate the \"Sole Variable\"—the underlying persistent information pattern that transcends material dissipation.\n​Architecture: The implementation supports distributed deployment modes, including Edge Agents, Microservices, and Embedded Libraries. We detail the system's core components: the sensor acquisition interface, the parallel processing unit, and the ScoreWindow algorithm for real-time feature extraction and pattern validation.\n​Results & Conclusion: Preliminary self-tests indicate that the framework can effectively distinguish between standard biological noise and anomalous information signatures. This research provides a robust engineering foundation for the next era of cognitive frameworks, offering new pathways for identifying, tracking, and potentially reconstructing the fundamental information patterns of sentient existence.","keywords":["soul","consciousness","philosophy","epistemology"]}