1. Scope and Submission

The Journal of Mathematical Sciences and Applications (JMSA) is an international peer-reviewed journal devoted to the publication of high-quality research papers, reviews, and short communications across theoretical, computational, and applied mathematics and their interdisciplinary applications in science, engineering, technology, and social systems.

Authors must ensure that submissions are original, unpublished, and not under review elsewhere. All manuscripts are subjected to double-blind peer review.

The journal serves as a platform for researchers, academicians, and practitioners to exchange new ideas and recent developments in mathematical modeling, simulation, and data-driven methodologies.

Core Domains

1. Pure Mathematics
   • Algebra, Geometry, Topology, Number Theory
   • Functional and Complex Analysis
   • Differential Geometry and Operator Theory
   • Measure Theory, Real and Abstract Algebraic Structures
2. Applied Mathematics
   • Differential and Integral Equations (ODEs, PDEs, FDEs)
   • Dynamical Systems, Chaos, and Nonlinear Science
   • Mathematical Physics and Fluid Mechanics
   • Control Theory and Optimization Techniques
3. Computational and Numerical Methods
   • Finite Difference and Finite Element Methods
   • Numerical Linear Algebra and Approximation Theory
   • Scientific Computing, Symbolic Computation
   • Algorithms for High-Performance and Parallel Computing
4. Mathematical Modeling and Simulation
   • Deterministic, Stochastic, and Fractional Models
   • Epidemic and Ecological Modeling
   • Cybersecurity and Malware Propagation Models
   • Environmental, Climate, and Population Dynamics Models
   • AI-driven and Hybrid Modeling Approaches
5. Statistics and Data Science
   • Probability Theory, Statistical Inference, and Estimation
   • Stochastic Processes and Time Series Analysis
   • Bayesian and Non-Parametric Statistics
   • Statistical Learning, Regression, and Predictive Analytics
6. Artificial Intelligence, Machine Learning, and Mathematical Computing
   • Mathematical Foundations of AI and ML
   • Optimization and Learning Algorithms
   • Deep Learning, Reinforcement Learning, and Neural Modeling
   • Fuzzy Logic, Rough Sets, and Soft Computing
7. Interdisciplinary and Emerging Areas
   • Blockchain Mathematics and Cryptography
   • Quantum Computing and Quantum Information Theory
   • Mathematical Epidemiology and Bioinformatics
   • Mathematical Finance and Risk Modeling
   • Network Science, Graph Theory, and Complex Systems
   • Industrial Mathematics, Reliability, and Decision Sciences
   • Mathematical Foundations of Smart Cities, IoT, and Cyber-Physical Systems
8. Fractional Calculus and Its Applications
   • Fractional Differential Equations and Operators
   • Fractional Stability, Control, and Chaos
   • Applications to Signal Processing, Image Analysis, and Biomechanics
9. Operations Research (OR) and Optimization
   • Classical OR Techniques: Linear, Non-Linear, Integer, and Dynamic Programming; Game Theory; Network Optimization; Queuing and Inventory Models.
   • Decision Sciences: Multi-Criteria Decision Making (MCDM), Decision Analysis, and Forecasting.
   • Simulation and Heuristics: Monte Carlo Simulation, Meta-heuristic and Swarm Algorithms (Genetic Algorithms, PSO, ACO, etc.).
   • AI-Integrated Optimization: Machine-Learning-driven Optimization, Reinforcement Learning for Decision Systems, and Smart Scheduling.
   • Applications: Supply Chain Management, Transportation and Logistics, Energy Systems, Health Care, Cybersecurity Resource Allocation, and Sustainable Development.

Special Focus Themes

• AI-integrated Mathematical Models for Societal Systems
• Fractional-Order Dynamics in Natural and Engineered Systems
• Blockchain and Mathematical Security of Cyber Systems
• Mathematical Approaches to Global Health and Epidemiology
• Sustainable Development and Mathematical Modeling for Policy Decision

Aims

• To promote rigorous mathematical research with practical relevance.
• To encourage interdisciplinary collaboration between mathematicians, engineers, scientists, and data analysts.
• To provide a scholarly forum for emerging mathematical applications in modern technologies.
• To support early-career researchers and new methodologies with strong theoretical grounding.

Readership

• Researchers and faculty in mathematics, statistics, computer science, and engineering.
• Professionals working in AI/ML, data analytics, systems modeling, and applied computation.
• Graduate students, academicians, and industry practitioners seeking mathematical insights for complex problem-solving.

2. Manuscript Structure

All manuscripts must be prepared in English and formatted as per the guidelines below.

2.1 Title Page
Title: Concise, informative, and relevant to the study (maximum 20 words).
Font: Times New Roman, Bold, 14 pt, Center-aligned.
Author(s): Full names of all authors with institutional affiliations, ORCID (if available), and corresponding author’s email.
Affiliation: Department, Institution, City, Country.
Corresponding Author: Provide full contact details.

2.2 Abstract
Word Limit: 150–250 words.
Content: Should briefly state the background, objective, methods, key findings, and conclusion. Do not include equations, citations, or abbreviations.
Font: Times New Roman, 11 pt, Italic, justified.

2.3 Keywords
Provide 4–6 keywords separated by semicolons (;). Keywords should reflect the core concepts, mathematical models, and application areas.

2.4 Introduction
Present the background, motivation, and significance of the problem. Summarize relevant literature and clearly state the objectives and novelty of the work. Citations should follow the reference style in APA format. Length: 600–1000 words.

2.5 Methodology / Model Formulation
Clearly define all variables, parameters, and assumptions. Include mathematical formulations, system of equations, or algorithmic frameworks. Use numbered equations (e.g., (1), (2)). All symbols and abbreviations should be defined when first used.

2.6 Analysis / Results
Theoretical analysis should include stability, existence, and sensitivity where applicable. Numerical or simulation results must be supported with appropriate figures and tables.

2.7 Discussion
Interpret the results in the context of existing literature. Highlight implications, limitations, and possible extensions.

2.8 Conclusion
Summarize key findings and their mathematical or practical implications. Mention future directions or potential improvements to the model.

2.9 Acknowledgements
Optional: Mention financial grants, institutional support, or individual assistance.

2.10 References
References should be numbered sequentially as they appear in the text: [1], [2], [3].
Examples:
Journal: Mishra, B.K., and Saini, D.K. SEIQRS model for transmission of computer viruses. Applied Mathematics and Computation, 2018; 316(1): 504–518.
Book: Murray, J.D. Mathematical Biology I: An Introduction. 3rd ed., Springer, 2002.

3. Formatting Requirements

Component	Specification
File Format	MS Word (.docx) or LaTeX (.tex)
Font	Times New Roman
Font Size	12 pt (Main Text), 11 pt (Abstract), 10 pt (Footnotes)
Line Spacing	1.5
Margins	1 inch (2.54 cm) on all sides
Paragraph Alignment	Justified
Page Numbers	Bottom center
Equation Numbering	Right-aligned, in parentheses
Section Headings	12 pt, Bold
Subsection Headings	12 pt, Italic

4. Figures and Tables: Number all figures and tables sequentially. Captions should be below figures and above tables. Avoid color unless essential.

5. Units, Symbols, and Notation: Use SI units only. Italicize all variables. Vectors and matrices should be boldface.

6. Length of Paper: Full-length articles: 4000–7000 words. Short communications: 2000–3000 words. Review articles: up to 10,000 words.

7. Ethical Statement: All submissions must follow ethical standards, including no plagiarism or redundant publication.

8. Submission Process: Submit via the journal portal or email: editorial.office@jmsa-journal.org with a cover letter declaring originality.

9. Review and Revision: All manuscripts undergo double-blind peer review. Authors must address reviewer comments carefully.

10. Proofs and Publication: Proofs are sent to the corresponding author before publication for minor corrections.

11. Copyright and Open Access: Authors must sign a copyright transfer agreement. Published papers are under Creative Commons (CC BY).