Para Tecnología y Sociedad Digital | Durney — Artículos Académicos

by: Guido Robinson Durney Urrutia | Investigador Independiente (Santiago, Chile)

Identificadores Académicos: ORCID: 0009-0003-3235-7039 | Perfil de Zenodo: https://zenodo.org

Part II: English Version

Open science represents a global paradigm shift that democratizes access to knowledge, eliminates institutional barriers, and promotes scientific validation through radical transparency. From Santiago, Chile, I have developed a series of independent research projects published on the CERN-backed international repository Zenodo, spanning subatomic physics, molecular spintronics, computational neuroscience, and Human Digital Twins for precision medicine. My primary goal is to provide rigorous, actionable scientific frameworks that enhance human quality of life, proving that cutting- edge, high-impact research is actively being conducted in Chile and Latin America.

1. Fundamental Physics & Molecular Spintronics: Deconstructing the CQMMR Framework

In theoretical physics and quantum chemistry, understanding biological homochirality and Chirality-

Induced Spin Selectivity (CISS) remains a major challenge. The initial CQMMR toy model (Durney Urrutia, 2025) explored whether an axial quantum field originating from QCD vacuum condensates could directly couple to chiral molecules via an additive Hamiltonian H_CQ ~ g φ(r) σ_z. However, open science requires rigorous auditing of hypotheses against empirical limits.

Our comprehensive review published on Zenodo (Durney Urrutia, 2026a) establishes through dimensional analysis and symmetry bounds that electroweak parity violation (Z⁰ exchange) and

Spin-Orbit Coupling (SOC) in chiral molecules are physically independent phenomena. Quark confinement prevents residual chiral fields outside hadrons, and hypothetical pseudoscalar mediators required for CISS-level polarizations are ruled out by torsion-balance experiments by 18–29 orders of magnitude. Furthermore, tight-binding transport calculations demonstrate that CISS requires dephasing mechanisms to conform with Onsager-Büttiker reciprocity.

2. Computational Neuroscience: Seizure Forecasting in Drug-Resistant Epilepsy (TSCN-ICNF)

Drug-resistant epilepsy (DRE) affects nearly 30% of epileptic patients worldwide. Moving beyond the focal hyperexcitability paradigm, we introduced the TSCN-ICNF mathematical framework (Durney Urrutia, 2026, v3.0.0), modeling the brain as a dynamic weighted graph G(t) = (V, E(t)) and defining the Intercellular Coherence Network Function (ICNF) bounded within [0,1].

Modeled via a nonlinear saddle-node bifurcation system, the framework generates four explicit, falsifiable clinical predictions:

 Baseline Dynamic Rigidity: DRE patients exhibit higher interictal baseline ICNF values with reduced temporal variance compared to healthy controls, reflecting pathological network rigidity.

 Preictal Transition Window: A measurable shift in ICNF occurs within a 15–45 minute window prior to clinical seizure onset, providing a critical window for early warning.

 Critical Phase Acceleration: The ictal transition exhibits a sharp sigmoidal acceleration in

d(ICNF)/dt as the network approaches the bifurcation threshold.

 Phase-Targeted Adaptive Neuromodulation: Phase-targeted, desynchronizing electrical stimulation collapses peak ICNF coherence, preventing seizure transition.

3. Human Digital Twin for Health (HDT-H): Multiscale AI & In-Silico Simulation

At the intersection of digital health and precision medicine, we presented the Human Digital Twin for Health (HDT-H) framework (Durney Urrutia, 2026c). The architecture integrates multimodal wearable sensor streams and EHR data via cross-attention neural networks and Neural Ordinary Differential Equations (Neural ODEs). Built on HL7-FHIR v5.0.0 interoperability standards, it enables in-silico PK/PD simulations alongside a prospective validation protocol structured under SPIRIT and TRIPOD+AI guidelines.

4. Accessing Publications on Zenodo

All articles, preprints, and mathematical models are open-access under Creative Commons licenses on Zenodo. I invite researchers, clinical neuroscientists, and engineers to examine, audit, and build upon these works:

Author Zenodo Profile: https://zenodo.org (Search: Guido Robinson Durney Urrutia | ORCID: 0009-0003-3235-7039)

Bibliografía Académica / Academic References

Durney Urrutia, G. R. (2026). Fundamental Physics and Molecular Chirality: Parity Violation and Spin–Orbit Coupling as Independent, Not Unified, Origins. Zenodo Preprint. (August 2, 2026). https://doi.org/10.5281/zenodo.21763192

Durney Urrutia, G. R. (2026). Network-Level Dynamic Rigidity in Drug-Resistant Epilepsy: A Mathematical Framework for Seizure Prediction Using the Intercellular Coherence Network Function (ICNF) (v3.0.0). Zenodo Journal Article. https://doi.org/10.5281/zenodo.21731457 (August 1,2026).

Durney Urrutia, G. R. (2026c). Human Digital Twin for Health (HDT-H): An Applied Multiscale Framework for Early Diagnosis, In-Silico Clinical Simulation, and Prospective Validation Protocol.

Zenodo Preprint. (July 19, 2026). https://doi.org/10.5281/zenodo.21445254

Durney Urrutia, G. R. (2025a). Gemelos Digitales Humanos para Salud Preventiva y Medicina Personalizada. Zenodo Article (September 9, 2025).

Durney Urrutia, G. R. (2025b). Modelo efectivo y validación cuantitativa de la teoría CQMMR.

Zenodo Preprint (September 2, 2025).