Matrix representations of genetic codes and human emotions

Matthew X. He; Z. B. Hu

doi:10.1007/978-3-319-67349-3_3

Matrix representations of genetic codes and human emotions

Matthew X. He
, Z. B. Hu

Department of Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The genetic code is encoded in combinations of the four nucleotides (A, C, G, T) found in DNA and then RNA. DNA defines the structure and function of an organism and contains the complete genetic information. Using the genetic code of the DNA, according to central dogma of molecular biology proteins are formed. In recent years, it has been suggested that our emotions are molecules. The peptides connect to human emotions that influence every move, function and thought. The peptides as information substances bring the messages to all our body cells. In this paper, we present recent advances in genetic code-based matrices generated by RNA bases (A, C, G, U) and then draw a parallel of matrices of emotions generated by primary emotions (Sadness, Happiness, Anger, Fear) = (S, H, A, F) along with facial expressions of markers. This parallel shows a similarity connection between universal genetic codes and the universality of facial expressions for emotions. We further show that the frequency of 64 compound emotions/facial expression markers follow a law of normal distribution.

Original language	English
Title of host publication	Advances in Artificial Systems for Medicine and Education
Editors	Matthew He, Sergey Petoukhov, Zhengbing Hu
Publisher	Springer Verlag
Pages	23-38
Number of pages	16
ISBN (Print)	9783319673486
DOIs	https://doi.org/10.1007/978-3-319-67349-3_3
State	Published - 2018
Event	1st International Conference of Artificial Intelligence, Medical Engineering, and Education, AIMEE 2017 - Moscow, Russian Federation Duration: Aug 21 2017 → Aug 23 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	658
ISSN (Print)	2194-5357

Conference

Conference	1st International Conference of Artificial Intelligence, Medical Engineering, and Education, AIMEE 2017
Country/Territory	Russian Federation
City	Moscow
Period	8/21/17 → 8/23/17

Bibliographical note

Publisher Copyright:
© 2018, Springer International Publishing AG.

ASJC Scopus Subject Areas

Control and Systems Engineering
General Computer Science

Keywords

facial expressions
Genetic code
genetic matrix
human emotions
matrix of human emotions

Access to Document

10.1007/978-3-319-67349-3_3

Cite this

Matrix representations of genetic codes and human emotions. / He, Matthew X.; Hu, Z. B.
Advances in Artificial Systems for Medicine and Education. ed. / Matthew He; Sergey Petoukhov; Zhengbing Hu. Springer Verlag, 2018. p. 23-38 (Advances in Intelligent Systems and Computing; Vol. 658).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

He, MX & Hu, ZB 2018, Matrix representations of genetic codes and human emotions. in M He, S Petoukhov & Z Hu (eds), Advances in Artificial Systems for Medicine and Education. Advances in Intelligent Systems and Computing, vol. 658, Springer Verlag, pp. 23-38, 1st International Conference of Artificial Intelligence, Medical Engineering, and Education, AIMEE 2017, Moscow, Russian Federation, 8/21/17. https://doi.org/10.1007/978-3-319-67349-3_3

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abstract = "The genetic code is encoded in combinations of the four nucleotides (A, C, G, T) found in DNA and then RNA. DNA defines the structure and function of an organism and contains the complete genetic information. Using the genetic code of the DNA, according to central dogma of molecular biology proteins are formed. In recent years, it has been suggested that our emotions are molecules. The peptides connect to human emotions that influence every move, function and thought. The peptides as information substances bring the messages to all our body cells. In this paper, we present recent advances in genetic code-based matrices generated by RNA bases (A, C, G, U) and then draw a parallel of matrices of emotions generated by primary emotions (Sadness, Happiness, Anger, Fear) = (S, H, A, F) along with facial expressions of markers. This parallel shows a similarity connection between universal genetic codes and the universality of facial expressions for emotions. We further show that the frequency of 64 compound emotions/facial expression markers follow a law of normal distribution.",

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AB - The genetic code is encoded in combinations of the four nucleotides (A, C, G, T) found in DNA and then RNA. DNA defines the structure and function of an organism and contains the complete genetic information. Using the genetic code of the DNA, according to central dogma of molecular biology proteins are formed. In recent years, it has been suggested that our emotions are molecules. The peptides connect to human emotions that influence every move, function and thought. The peptides as information substances bring the messages to all our body cells. In this paper, we present recent advances in genetic code-based matrices generated by RNA bases (A, C, G, U) and then draw a parallel of matrices of emotions generated by primary emotions (Sadness, Happiness, Anger, Fear) = (S, H, A, F) along with facial expressions of markers. This parallel shows a similarity connection between universal genetic codes and the universality of facial expressions for emotions. We further show that the frequency of 64 compound emotions/facial expression markers follow a law of normal distribution.

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KW - genetic matrix

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KW - matrix of human emotions

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Matrix representations of genetic codes and human emotions

Abstract

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Keywords

Access to Document

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