Guiding Principles for Authentic Publication in Kings and Queens Journal of Mathematical Modeling and Applied Analytics (KQJMMAA): KQJMMAA is a bi-annual, open-access, peer-reviewed international journal that publishes original and unpublished research in areas of mathematical modeling, applied analytics, computational mathematics, and data science. The journal is committed to advancing the frontiers of analytical thinking and is noted for publishing insightful, rigorous, and ethical scholarship that respects intellectual property.

Research submitted to KQJMMAA reflects careful analysis and academic honesty. All papers undergo a meticulous double-blind peer review process. Our editorial team ensures that submissions meet high standards of scientific integrity, free from plagiarism or questionable methodologies.

Responsibilities of Authors:

Expected Quality:

• Authors must develop their manuscripts independently, avoiding direct copying from existing literature.
• Research should be impactful and able to contribute meaningfully to scholarly dialogue in mathematical modeling and analytics.
• Submissions should demonstrate novelty, critical analysis, and technical precision.
• Credibility in modeling assumptions and the transparency of analytic methods is essential.
• Manuscripts must adhere to formatting guidelines and include proper referencing and citations.
• KQJMMAA provides an academic space for timely publication of well-structured, original analytical research.
• Authors must fully cooperate during the peer-review and revision process.

Novelty and Plagiarism:

• Submissions must be original and free from substantial duplication or borrowed content.
• All borrowed material, including data sets and mathematical formulations, must be properly cited.
• Papers must not be under review or published elsewhere at the time of submission.
• Authors should be open to critique and make revisions as required by the review process.
• Any post-publication errors must be reported to the editorial board with appropriate corrections.

Exposure Benchmarks:

• Work must be relevant, precise, and grounded in established or emerging areas of mathematical modeling or analytics.
• Findings should be clearly discussed, with coherence between objectives, methodology, and results.
• Proper referencing is required for all external material and models used.
• Fabrication, falsification, or misrepresentation of data is strictly prohibited.

Data Access and Retention:

• Authors may be asked to provide underlying data to validate findings and must retain this data for a reasonable duration.
• Authors must agree to the global accessibility of their work through open access.

Multiple, Redundant or Concurrent Publication:

• Redundant or simultaneous submission to other journals is not allowed.
• Submissions must represent new work that has not been previously published elsewhere.
• Re-publication of a previously published paper in another journal is not permitted.

Acknowledgement of Sources:

• Authors must credit all theoretical frameworks, algorithms, and data sources used in their work.
• All influences from prior research must be clearly acknowledged through citations.
• Use of confidential or proprietary data requires written consent from the original source.

Authority of Paper:

• All contributing authors must be named and their affiliations clearly stated.
• Support from institutions or funding bodies must be acknowledged.
• Only individuals who have made substantial contributions to the work should be listed as authors.
• The corresponding author must ensure that all co-authors approve the final version of the paper.

Hazards and Human or Animal Subjects:

• If the research involves any experimental risk or ethical concerns, these must be detailed in the manuscript.
• Work involving human or animal data must comply with institutional and national ethical standards.
• Consent and privacy rights must be protected when human subjects are involved.

Disclosure and Conflicts of Interest:

• All authors must declare any financial or personal interests that may have influenced the research.
• Sources of funding must be transparently reported in the manuscript.
• Potential conflicts include employment, grants, consultancies, or financial ties with related organizations.

Duties of Editors:

Publication Decisions:

• Editors are responsible for selecting manuscripts that are relevant and valuable to the field.
• Judgments are based strictly on scholarly merit, regardless of author identity or institutional background.

Confidentiality: Editors and staff must treat all manuscripts with confidentiality and may not disclose any details beyond those directly involved in the review process.

Fair Play: Manuscripts are evaluated solely on their intellectual contribution without bias.

Conflict of Interest: Editors must avoid any situation where their own research or interests might interfere with objective editorial decisions.

Creative Commons License: This work is licensed under a Creative Commons Attribution 4.0 International License.