Rhythmic Advantages in Big Data and Machine Learning

Preface
Contents
Editors and Contributors
1 Data: Periodicity and Ways to Unlock Its Full Potential
	1 Introduction
	2 What is Big Data?
	3 Big Data Terminologies
	4 Significance of Big Data
	5 Applications of Big Data
	6 Dealing with Numeric Data, Images, and Videos
	7 Periodicity and Time Series
		7.1 Classical Time Series Forecasting
		7.2 Modern Techniques
	8 Horses for Courses
	9 Difference Between the Current Neural Nets and the Human Brain
	10 A Holistic Grand Approach
	References
2 Modulating Neural Oscillations with Transcranial Focused Ultrasound
	1 Introduction
	2 Moving from Correlation to Causation with Neuromodulation
	3 Ultrasonic Neuromodulation
		3.1 Mechanisms and Parameters
		3.2 Modulating Excitability
		3.3 Targeting Distinct Oscillations
		3.4 Driving Brain Rhythms
		3.5 Confounds
	4 Summary and Conclusion
	References
3 Ergontropic Dynamics: Contribution for an Extended Particle Dynamics
	1 Introduction
		1.1 Forces in an Accelerated Frame
	2 The Ergontropic Equation of Dynamics
		2.1 Rolling Body on an Inclined Plan
		2.2 The Fluid Equation
		2.3 Application to Electrodynamics
		2.4 Poynting\'s Theorem
		2.5 Driving Energy of a Rotating System
		2.6 Transport of Angular Momentum in a Hurricane
		2.7 Periodic Radiative Heating of the Earth\'s Atmosphere
		2.8 The Flyby Anomaly of the Spacecrafts
		2.9 Additional Remarks on the Variational Problem According to the Proposed Reformulation
	3 Direct Conversion of Entropy into Forces
		3.1 The Case of Entropic Forces
		3.2 In the Realm of Electrochemistry: Electromotive Force and Cell Potential
	4 Conclusion
	References
4 Minimization of Thermal Conductivity in Nanostructures and Geometric Self-Similar Structures for Thermoelectric Applications
	1 Introduction
		1.1 Thermal Transport In Bulk and Nanostructures
		1.2 Fractal Structure and Thermal Conductivity
	2 Conclusion
	References
5 Hypercomputation of the Brain by Superluminal Particles
	1 Introduction
	2 Signal Processing by Using Tunneling Photons
	3 Energy Cost for Quantum Computation UtilizingTunneling Photons
	4 Decoherence Problem of Quantum States to Conduct Quantum Computation
		4.1 The Maximum Energy Required to Perform Quantum Computation
		4.2 Decoherence Time of Superluminal Computation
	5 Possibility of Quantum Computation Inside Microtubules Inside the Brain
	6 Difficulties of the Orch OR Model Proposed by Penrose
	7 High Performance Computation in the Brain Utilizing Tunneling Photons
	8 Holographic Memory in Human Biological Systems
		8.1 Holographic Memory Based on Evanescent Superluminal Photons in the Microtubule
		8.2 Mechanism of Holographic Memory of the Brain
	9 Holonomic Model of the Brain Function
	10 Hypercomputingby Superluminal Particles
		10.1 Computational Time Required to Perform Infinite Steps of Computation
		10.2 Computational Time by Using Superluminal Elementary Particles
	11 Human Intuition from the Standpoint of Superluminal Hyper-Computation
	12 Discussions and Conclusion
	References
6 Replicating a Learning Brain’s Cortex in a Humanoid Bot: Pyramidal Neurons Govern Geometry of Hexagonal Close Packing of the Cortical Column Assemblies-II
	1 Introduction
		1.1 The Role of Cortical Columns in the Brain Models
		1.2 Defects in Hexagonal Close Packing of Cortical Columns is Fundamental to Learning
		1.3 A Map of 3D Clock Assemblies of a Cortical Column
		1.4 Fractal Arrangement of Cavity and Dielectric Resonators Are Basic Features of the Brain Construction
	2 Material and Methods
		2.1 Creation of Mimicked Geometry of Neurons and Cortical Columns
		2.2 Longitudinal and Transverse Electromagnetic Radiation at Resonance from the Handmade Giant Cortical Column
		2.3 Creation of Capillary Tubes-Based Cortical Columns on the Humanoid Bot Subject, HBS Brain
	3 Results and Discussion
		3.1 H-CNTs-Based Cortical Column
		3.2 Non-linear Properties of Cortex
	4 Conclusion
	References
7 How the Biofield is Created by DNA Resonance
	1 Introduction
		1.1 Biofield
		1.2 Brief History of Biofield Research
		1.3 DNA as a Source of the Biofield
		1.4 Our Computational Studies of DNA Resonance
		1.5 Noncoding 99% of the Genome
	2 The Model
		2.1 Electron and Proton Chains
		2.2 DNA Resonances in Chromatin
		2.3 DNA Resonances in the Body
		2.4 Resonances in Noncoding DNA
		2.5 Resonances of Repetitive Elements
		2.6 Coordination of Chromatin Dynamics
		2.7 Experiments Needed to Test the DNA Resonance Hypothesis
		2.8 Our Computational Results on DNA Resonance
	3 Discussion
		3.1 Approaches to the Research of DNA Resonance
		3.2 Morphogenetic Function of Biofield
		3.3 Opportunities for Research of Resonances in Noncoding DNA
		3.4 Discussion of Our Computational Results
		3.5 On the Physical Nature of DNA Resonances
		3.6 Electroacoustic Model
		3.7 Electroacoustic Frequencies
		3.8 A Rough Estimate of DNA Frequencies
		3.9 Frequencies by Themselves Are Not Therapeutic
		3.10 Local Nonelectromagnetic Component of the Biofield
		3.11 The Nonlocal Nature of the Locality
		3.12 Parallels with the Subtle Bodies of the Ancient Eastern Teachings
		3.13 Brain–Computer Interface and Synthetic Telepathy
		3.14 Nature of Local Nonelectromagnetic Waves
		3.15 Naming
		3.16 DNA as a Dimensional Portal
		3.17 Scientific Method
		3.18 Structural Oscillations in Liquid Crystals
		3.19 Ideas for Experimental Testing of DNA Resonance Theory
		3.20 Practical Applications of DNA Resonance Theory
		3.21 GWAS Application of DNA Resonance Theory
		3.22 Gene Expression Analysis Application
		3.23 Personalized Medicine
		3.24 Other Biomedical Applications
		3.25 Therapeutic Devices
		3.26 Brain–Computer Interface
		3.27 Therapeutic Device for Psychiatric and Psychological Disorders
		3.28 Ecological Applications
		3.29 Current Status
		3.30 Morphogenesis
		3.31 Genomic Field
		3.32 Oscillators Within DNA
		3.33 Mind and Memory
		3.34 Gene Regulation
		3.35 Energy Healing
	4 Conclusions
	References
8 How Schrödinger’s Mice Weave Consciousness
	1 Introduction
	2 Hypothesis
	3 Discussion
	4 Conclusions
	References
9 QED Coherence and Super-Coherence of Water in Brain Microtubules and Quantum Hypercomputation
	1 Introduction
	2 A Brief Overview of QED Coherence in Condensed Matter and Its Emergence in Liquid Water
	3 Quantum Dynamics of Coherent Domains in Liquid Water
		3.1 Spatial Behavior of the Coherent E.M. Field
		3.2 Thermodynamics Considerations and “Interstitial” Water in Living Tissues
		3.3 Excited Spectrum of Coherent Oscillations in Water
		3.4 Tunneling of Evanescent Modes (Virtual Photons) Between Water Coherent Domains
	4 Quantum Coherence in Water Inside Brain Microtubules Viewed as Metamaterials
	5 The Coherent Interaction Between Microtubules and the Possibility of Hypercomputing in Human Brain
	6 Conclusion and Outlook
	References