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The Journal of Kryon is a peer-reviewed scholarly platform dedicated to advancing research in artificial intelligence, computational sciences, and emerging digital technologies. The journal provides a space for researchers, academicians, and practitioners to publish high-quality work that contributes to the global technology and innovation ecosystem. It encourages the dissemination of groundbreaking ideas, interdisciplinary approaches, and practical applications that shape the future of digital transformation.
The Journal of Kryon is a peer-reviewed scholarly platform dedicated to advancing research in artificial intelligence, computational sciences, and emerging digital technologies. The journal provides a space for researchers, academicians, and practitioners to publish high-quality work that contributes to the global technology and innovation ecosystem. It encourages the dissemination of groundbreaking ideas, interdisciplinary approaches, and practical applications that shape the future of digital transformation.
The Journal of Kryon is a peer-reviewed scholarly platform dedicated to advancing research in artificial intelligence, computational sciences, and emerging digital technologies. The journal provides a space for researchers, academicians, and practitioners to publish high-quality work that contributes to the global technology and innovation ecosystem. It encourages the dissemination of groundbreaking ideas, interdisciplinary approaches, and practical applications that shape the future of digital transformation.
Research Article
Cross‑References, PDE MathML, and DH Tables for Robotic Kinematics
Open Access
Volume 1, Issue 1, November 2025,
Pages 45-56
History
Received: December 2025
Revised: January 2026
Accepted: February 2026
Available Online: November 2025
Abstract
This demonstration article showcases a complete JATS JournalPublishing v1.1 structure using unpublished, copyright‑free text created solely for testing. We include complex MathML with matrices, piecewise definitions, integrals, and coupled systems to exercise equation rendering and cross‑referencing. Figures and tables are provided with captions and callouts from the narrative, and we illustrate links to equations such as Variant D: this copy intentionally varies minor wording while preserving structure for pipeline regression tests.
Keywords
MathML, JATS
Open Access
This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
https://creativecommons.org/licenses/by/4.0/Copyright
This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. CC BY includes the following elements:
BY: credit must be given to the creator.
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