Comprehensive Thermodynamic Re-evaluation of Ebola Virus Pathogenesis: Interdisciplinary Mechanistic Solutions via the ELMAS’s Theory of Thermodynamics and the 5th Law of Thermodynamics

Vollständiger Abstract

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Ebola Virus Disease (EVD) presents an extraordinary clinical challenge characterized by systemic physiological collapse, uncontrolled cytokine storms, hyperpyrexia, and devastating multi-organ failure. Traditional virological frameworks interpret these lethal phenomena strictly through isolated biochemical and biomolecular pathways. This study introduces a profound paradigm shift by modeling EVD pathogenesis from a mechanical and biomedical engineering perspective, utilizing the foundational principles of the ELMAS Thermodynamic Theory and the newly operationalized 5th Law of Thermodynamics. Under this approach, the human body is mathematically modeled as an open, highly complex bio-machine operating under vector-based, non-stationary energy and mass transfer states. By mapping viral-induced cellular entropy kinetics through state-space vector matrices, we define the pathological decay of positive life-sustaining energy vectors (Ep) against the exponential rise of destructive negative entropy vectors (En). To counteract this energetic collapse, we present three interconnected, high-fidelity engineering interventions: (1) Ultra-early diagnosis via Micro-Electro-Mechanical Systems (MEMS) bio-robotic resonance frequency analysis; (2) Targeted, zero-power visceral thermal load dissipation using phase-change medical heat pipes paired with a frequency-modulated (FM) nanorobot drug delivery algorithm; and (3) A highly advanced, integrated extracorporeal membrane oxygenation (ECMO)-hemodialysis thermodynamic loop featuring an inline thermal disinfection module (72°C for 0.5s) designed to reduce free systemic viral particles (Jvirus) while maintaining precise hemodynamic control. The structural and mathematical validity of this matrix-driven pathological model is verified through a 10,000-trial computational Monte Carlo framework using a 4th-Order Runge-Kutta (RK4) integration scheme, successfully identifying the critical tipping point threshold (theta_crit) that marks the boundary between autonomous homeostatic survival and irreversible multi-organ death. This interdisciplinary framework successfully bridges classical fluid mechanics, sub-cellular thermal biophysics, and clinical life support.[1-96]