Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.

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Published by
The International Institute of Informatics and Cybernetics


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Academia.edu
(A Community of about 40.000.000 Academics)


Honorary Editorial Advisory Board's Chair
William Lesso (1931-2015)

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org
 

Editorial Advisory Board

Quality Assurance

Editors

Journal's Reviewers
Call for Special Articles
 

Description and Aims

Submission of Articles

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Information to Contributors

Editorial Peer Review Methodology

Integrating Reviewing Processes


Utilization of Artificial Intelligence by Students in Interdisciplinary Field of Biomedical Engineering
Shigehiro Hashimoto
(pages: 1-5)

Transdisciplinary Applications of Data Visualization and Data Mining Techniques as Represented for Human Diseases
Richard S. Segall
(pages: 6-15)

Beyond Status Quo: Why is Transdisciplinary Communication Instrumental in Innovation?
James Lipuma, Cristo Leon
(pages: 16-20)

How We Can Locate Validatable Foundations of Life Themes
Jeremy Horne
(pages: 21-32)

Bringing Discipline into Transdisciplinary Communications -The ISO 56000 Family of Innovation Standards-
Rick Fernandez, William Swart
(pages: 33-39)

To AI Is Human: How AI Tools with Their Imperfections Enhance Learning
Martin Cwiakala
(pages: 40-46)

Knowledge, Learning and Transdisciplinary Communication in the Evolution of the Contemporary World
Rita Micarelli, Giorgio Pizziolo
(pages: 47-52)

Human Complexity vs. Machine Linearity: Tug-of-War Between Two Realities Coexisting in Precarious Balance
Paolo Barile, Clara Bassano, Paolo Piciocchi
(pages: 53-62)

A Cybernetic Metric Approach to Course Preparation
Russell Jay Hendel
(pages: 63-70)

The Impact of Artificial Intelligence on Education
John Jenq
(pages: 71-76)

Bridging the Gap: Harnessing the Power of Machine Learning and Big Data for Media Research
Li-jing Arthur Chang
(pages: 77-84)

Image Processing, Computer Vision, Data Visualization, and Data Mining for Transdisciplinary Visual Communication: What Are the Differences and Which Should or Could You Use?
Richard S. Segall
(pages: 85-92)

Identification – The Essence of Education
Jeremy Horne
(pages: 93-99)

The Greek-Roman Theatre in the Mediterranean Area
Maria Rosaria D’acierno Canonici Cammino
(pages: 100-108)

Examination of AI and Conventional Teaching Approaches in Cultivating Critical Thinking Skills in High School Students
Luis Castillo
(pages: 109-112)

Thoughts, Labyrinths, and Torii
Maurício Vieira Kritz
(pages: 113-119)

Can Two Human Intelligences (HIs or Noes) and Two Artificial Intelligences (AIs) Get Involved in Interlinguistic Communication? – A Transdisciplinary Quest
Ekaterini Nikolarea
(pages: 120-128)


 

Abstracts

 


ABSTRACT


Multi-Parametric Earthquake Forecasting the New Madrid From Electromagnetic Coupling Between Solar Corona and Earth System Precursors

Bruce Leybourne, Valentino Straser, Hong-Chun Wu, Giovanni Gregori, Arun Bapat, Natarajan Venkatanathan, Louis Hissink


Forecasting large earthquakes M ≥ 6.0 with satellite monitoring and Radio Direction Finding techniques of Electro-Magnetic (EM) precursors associated with earthquakes are possible. International Earthquake and Volcano Prediction Center (www.ievpc.org) consider phenomena driving earthquakes within a framework of strong solar EM coupling with the entire Earth system, through EM induction driving ionosphere-air-earth currents. Catastrophic earthquakes have repeatedly stricken the New Madrid Seismic Zone during the last 4 major solar hibernation cycles since 1400 AD. Research suggests another cycle of strong magnitude 6.0 to 8.0 earthquakes in the New Madrid region during the upcoming (~2021-2057), solar minimum period. The 1811–12 earthquakes, occurred in the midst of Dalton Solar Minimum (1793-1830), causing many types of ground failures including lateral spreading and ground subsidence by soil liquefaction across the Mississippi River flood plain and tributaries over 15,000km2. Studies by USGS and damage assessments by FEMA estimate damages to infrastructure approaching $600 billion. Common denominators between seismic precursors associated with a solar EM driver are found by analyzing data on ionization phenomena in areas under tectonic stress such as: Outgoing Long-wave Radiation (OLR); Total Electron Content (TEC); atmospheric effects, such as Jet Stream and other meteorological phenomena related to earthquake clouds and lights.

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