Electromagnetic Field Released in Collision-Impact Events Generate in the Matrix Interface Fractal Scalable Invariant Geometric Triangular Chiral Hexagonal Structures

In biology, cancer is the most beautiful natural model of a chaotic system, which under uncontrolled proliferations, generates extreme disorder that finally causes intercellular collisions. The authors have described and documented fractal self-assembly of geometric triangular chiral hexagonal crystal-like complex organizations (GTCHC) and interface comet tail effect patterns in cancer processes. According to this novel observation cancer incorporates a real visualization world with a great surprising finding in biology, physics, and geology. This visualization platform literally allows us to see what would otherwise remain completely invisible. From theory to practice this irreducible geometric matrix allowed us to identify in geology, real measurable green infrared-electromagnetic stripe line in interface with hexagonal geomorphic pattern, triangular chiral pyramidal rock structures, geology well defined mirror images, template platform to bio signature characterization of ancestral primitive polar head-tail organization, embryoid and human-like shape pattern embedded as giant fossils in rocks that have never been seen before. Electromagnetic field released in collision-impact events generate in the matrix interphase fractal scalable invariant order of geometric triangular chiral hexagonal structures. The laws of biology and geology can finally be redirected to the laws of physics;specifically magnetic fields create a new kind of classification based on these fractal structural similarities of the relationship. Further interdisciplinary collaboration must be carried out to study these geometric self-assembly geological structures, ancient sediments and rocks that could provide insights into antecedents of life.

Geometric triangular chiral hexagon complexes and clonal embryogenic body organization on the Turin Shroud crucified man image: A predictable tissue response to injury

The shroud continues to remain one of the most studied and controversial artifacts in human history. Many tests, X-ray fluorescence, reflectance, spectrometry and low energy/high-resolution X ray transmission have shown that the crucified body is not compatible with a painted image. Researchers confirm that the alleged blood is real blood. We documented the self-assembly of geometric triangular chiral hexagon complex (GTCHC) with structural organization of embryoid bodies in cancer tissues. The identification of these structures is not only limited to malignant tumors but also appears in extreme injured tissues. Our interest is to determine if we can predict and identify these patterns in the Shroud of Turin. Based on pattern recognition image was analyzed over 100 shroud images. We identified a central spectral emission line that exhibits a characteristic signature on a plot of residual electromagnetic radiation, head area narrowing and low extremities broadening, indication of decay energy changes in the velocity of the molecules in the traversal trajectory. This Electromagnetic collision event generates in the cloth stagnant blood areas with patterns identical to those identified for us in cancer damage tissues. Inflammatory cytokines activate stem cells and Notch signaling proteins in cascade of interactions to generate real clonal human embryoid template. Can we predict function from structure? These structures evoke life, regeneration, but not death. Our findings suggest the image of a crucified man on the Shroud of Turin is a real physical electromagnetic collision event in response to extreme tissue injury, with the fact that supports our previous findings in cancer tissues as real and predictable. Proteins derived from these emergent damage tissue derivate stem cells could be used to design biologic templates in regenerative medicine and develop novel strategies in cancer therapy.

Identification of Mosaic Order Area of Geometric Triangular Chiral Hexagonal Complexes in Interphase with Morphology Biosignature Pattern in the Interior of Martian Nested Impact Craters

From evolutionary miniaturization activation of ancestral larger genes stocks, an electromagnetic field derivate from cancer microscopic collision events participates in the elaboration of geometric complexes and chiral biomolecules that serve to build bodies with embryoid print as it develops during gestation. This miniaturization platform literally allows us to see what would otherwise remain completely invisible. In concordance with our observations collision extreme chaos generates in space time interval geometric scalable invariant extreme order. To determine whether our predictions are valid, we select Mars one of the planets with highest rate collision impact craters. The idea that impact events produce major geological effects that go far beyond the production of craters has recently been emphasized. We wonder if we could predict geometric chiral triangular hexagonal complexes in Martian landscape similar to those documented at microscopic, macroscopic, megascopic levels. We resolved to investigate the geomorphology patterns of more than 4000 collision impact craters in Mars landscape using images from Google Mars platforms, and HIRISE (High resolution imaging science experiment camera from the University of Arizona) based on a pattern recognition images algorithm we identified Mars mosaic order area (MOA). MOA is a circular cluster of overlap craters organized in apparent visible cycle sequential order oriented counterclockwise and consisting of nine craters that structure visible and measurable geometry in interface with biosignature morphologies in their interior not having been previously documented. Crater, therefore, is a step forward in understanding how collisions influence life, both on Earth and on other planets. We were pleased that the correctly pattern image algorithm predicted the identification of irreducible geometry matrix of GTCHC complexes in Martian impact craters. Cancer can inform astrobiology.