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Cefiyana

@Cefiyana

Unified Geometric Physics, Systemic Bioenergetics, & Computational Safety

https://www.linkedin.com/in/cefiyana
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About Me

Cefiyana | Interdisciplinary Researcher​Focus: Unified Geometric Physics, Systemic Bioenergetics, & Computational Safety.
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‎​Professional Overview Cefiyana is an independent interdisciplinary researcher developing the "Five-Leaf Clover" (Wawasan Semanggi Berdaun Lima) framework. This work represents a theoretical synthesis aimed at reconciling physical laws with biological systems, proposing that rigorous scientific inquiry and existential philosophy are complementary facets of a singular causal structure ("The Red Thread").
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‎​Research Pillars & Theoretical Proposals:
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‎​1. Theoretical Physics: Connecting Thread Theory (TBP)
‎Develops an ab initio discrete geometric matrix framework that derives Standard Model mass hierarchies and gravitational parameters without relying on arbitrary phenomenological fitting (e.g., Yukawa couplings). The architecture is strictly constrained by empirical foundations: it utilizes a 6-Dimensional internal manifold (d=6) necessitated by SU(3) color space isomorphism, and a topological load (\mu=88) analytically derived from Chiral Parity Violation. The framework establishes a Critical Vacuum Ceiling (R_{crit} \approx 215.111 \text{ GeV}), employing an Effective Leakage Lagrangian to preserve macroscopic causality while correlating with LHC missing transverse energy (E_T^{miss}) anomalies. Through its deterministic Metric Scale Operator, the model analytically derives fundamental constants—including the Proton Mass (M_p \approx 938.14 \text{ MeV}) and the inverse Fine-Structure Constant (\alpha^{-1}_{obs} \approx 137.036)—demonstrating high-precision \leq 1\sigma convergence with CODATA and PDG values. Furthermore, Dark Energy (\Omega_\Lambda \approx 0.687) is evaluated not as a static cosmological constant, but as the dynamical consequence of volumetric matrix dilution.
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‎​2. Computational Psychiatry & Medical Biosystems: Bioenergetics & Systemic Pathology
‎Applies thermodynamic principles and complex systems modeling to reconceptualize psychiatric dysregulation not as mere chemical imbalances, but as macroscopic manifestations of systemic energy management failures.
‎​The ISB Framework: Formulated the Bioenergetic Stability Index (ISB) through a deterministic, multi-scale Ordinary and Partial Differential Equation (ODE-PDE) architecture. Operating strictly on a "Zero-Assumption" basis, the neural network is rigidly calibrated at a thermodynamic steady-state (\frac{d[ATP]}{dt} = 0) before external stress introduction. Integrating six-layer empirical matrices (including Destrieux connectomics, AHBA transcriptomics, and pan-ancestry gnomAD data), the model mathematically demonstrates that major depressive phenotypes emerge from a focal topological phase transition—specifically a Saddle-Node Bifurcation ([ATP] < 0.5 \text{ mM})—driven by cumulative allostatic load and astrocytic clearance failure.
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‎​3. Technology: AI Safety (The Cefiyana Protocol)
‎Lead Architect for an "Edge-First" Human-AI interaction standard designed to mitigate cognitive stress.
‎​In-Silico Validation: Conducted "Extreme Stress Test" simulations comparing Cloud vs. Edge architectures.
‎​Results: Simulation data indicates a latency reduction from 3.79s (Cloud) to 0.57s (Edge). The protocol aims to maintain interaction speeds below the 1000ms bio-safety threshold to hypothetically prevent cortisol spikes ("Latency-Induced Neurotoxicity").
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‎​4. Foundation: Epistemology & Literature
‎Rooted in the philosophy of "Silent Work" (Kerja Hening). Literary works explore the concept of "Absolute Void" (Ketiadaan Mutlak), serving as the intuitive driver for logical inquiry. The "Five-Leaf Clover" methodology functions as the operational logic to ensure consistency across these diverse disciplines.
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‎​RESEARCH NOTE: > Presented models (TBP, ISB, Cefiyana Protocol) are analytic derivations focused on mathematical coherence. Despite high-precision alignment with empirical data, they remain theoretical propositions awaiting independent experimental verification and formal peer review.

Projects

Bioenergetic Stability Index: Thermodynamic Model of Psychiatric Phenotypes

pending admin approval

Neuro-Safety: Reducing AI Latency for Bio-Safe Interaction

Comments

Neuro-Safety: Reducing AI Latency for Bio-Safe Interaction
Cefiyana avatar

Cefiyana

3 months ago

TECHNICAL UPDATE: V5 FINAL SPECIFICATIONS

​Whitepaper Version 5 has been finalized and archived on Zenodo. The project has moved from conceptual framework to Audit-Ready status.

​Technical Benchmarks:

  • ​Latency: Stabilized at 0.57s (Edge) vs 3.79s (Cloud) under 10% packet loss. Confirmed below the 700ms neuro-stress threshold.

  • ​Energy Efficiency: 96% reduction in power consumption via local burst compute processing.

  • ​Neuro-Triage: Sub-100ms distress detection logic via local keystroke dynamics is now fully mapped.

  • ​Compliance: Fully aligned with FDA PCCP standards for AI-enabled medical software.

​The blueprint is complete. The documentation for the implementation phase is now public for technical review.

​Documentation: https://doi.org/10.5281/zenodo.18695156

Neuro-Safety: Reducing AI Latency for Bio-Safe Interaction
Cefiyana avatar

Cefiyana

4 months ago

Update: The Preliminary Technical Report V4 Simulation is now fully accessible on Zenodo.