What question did this study set out to answer?

The aim is to provide a comprehensive framework that explains how physiological systems maintain coherence and what occurs during failures in directional control.

April 24, 2026Open Access

Master Index — Lantern of Sulfur (v2026.16, April 2026)

Key Points

The aim is to provide a comprehensive framework that explains how physiological systems maintain coherence and what occurs during failures in directional control.
Develop a structured index organizing concepts of system architecture, operational mechanisms, failure behavior, and coherence.
Utilize cross-domain examples, such as hyperchloremia and microgravity, to illustrate failure patterns.
Facilitate navigation through layered entry points for varying levels of understanding.
Identified that hyperchloremia serves as a signal of broader system misalignment rather than a standalone issue.
Demonstrated a unified view of physiological stability and collapse relating to fluid dynamics and metabolic functions.
Provided a dynamic resource that updates as new modules and findings are incorporated.

Abstract

Master Index — Lantern of Sulfur & Directional Pressure Failure (v2026.16, April 2026) This record serves as the central navigation hub for the Lantern of Sulfur (LoS) framework and the Directional Pressure Failure (DPF) series. The LoS framework defines system architecture: how physiology maintains coherence through structure, timing, and coordination across domains.The DPF series defines failure behavior: how loss of directional control produces misrouting, compensation, and unresolved physiological states. Together, these layers describe a unified system in which stability and collapse emerge from the alignment—or misalignment—of fluid distribution, pressure gradients, regulatory signaling, and metabolic load. This index is organized by: Structure (Concept A) — how the system is built Mechanism (Concept B) — how it operates Failure (DPF) — how directional control is lost Coherence (Concept C / Law) — governing invariants Clinical Translation — how patterns appear and are applied Readers may enter at any level. Entry points are provided to guide navigation: Pattern recognition (collapse sequences) Cross-domain validation (microgravity and hyperchloremia) Mechanistic explanation (pressure–flow geometry) Structural mapping (system architecture) Application (state-dependent outcomes and stabilization) The framework treats hyperchloremia not as an isolated electrolyte abnormality, but as a visible signal of system-level misalignment. Microgravity is included as an external model demonstrating the same failure pattern under loss of directional reference. This index is updated iteratively as new modules are added. Each entry links to a Zenodo record with version history preserved. Users are encouraged to begin with a single entry point and follow the pathway most relevant to their domain. Author: Beth A. Martell Affiliation: Independent Researcher ORCID: 0009-0005-6448-9364 License: CC BY 4.0

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