Aim

The journal aims to provide a scholarly platform for the publication of theoretical, methodological, empirical, computational, and applied research in the fields of mathematics, natural sciences, computer systems, information systems, marine science, statistics, data analytics, and integrative computational science.

The journal seeks to advance scientific knowledge by promoting interdisciplinary research, computational approaches, data-driven methods, and the application of digital technologies to address contemporary scientific and technological problems.

Scope

The journal welcomes manuscripts offering theoretical, methodological, empirical, computational, and applied contributions in the following areas: Mathematics, Physics, Geophysics and Earth Sciences, Chemistry, Biology, Computer Systems, Information Systems, Marine Science, Statistics, Data Analytics, and Integrative Computational Science. Its scope includes, but is not limited to, mathematical modeling, statistical analysis, laboratory experiments, computational simulation, systems integration, data analytics, machine learning for science, data visualization, scientific computing, remote sensing, spatial analytics, and the application of digital methods to solve contemporary scientific and technological problems.

1. Mathematics, Statistics, and Data Analytics

   Pure mathematics, applied mathematics, numerical analysis, algebra, geometry, calculus, mathematical modeling, optimization, probability, theoretical statistics, applied statistics, computational statistics, multivariate analysis, data mining, machine learning, data visualization, predictive analytics, big data analytics.

2. Physics

   Theoretical physics, applied physics, computational physics, materials physics, instrumentation physics, electronics, optics, mechanics, thermodynamics, electromagnetism, energy, modern physics, experimental physics.

3. Geophysics and Earth Sciences

   Seismology, meteorology, climatology, geodynamics, geomagnetism, exploration geophysics, environmental geophysics, computational geophysics, geophysical instrumentation, geoscience modeling, geological hazards, geophysical data systems.

4. Chemistry

   Analytical chemistry, physical chemistry, organic chemistry, inorganic chemistry, biochemistry, environmental chemistry, materials chemistry, computational chemistry, compound synthesis, material characterization, and applied chemistry.

5. Biology

   General biology, microbiology, genetics, molecular biology, biotechnology, physiology, ecology, biodiversity, biological conservation, bioinformatics, environmental biology, and applied biology.

6. Computer Systems

   Computer architecture, embedded systems, computer networks, Internet of Things, computer security, cloud computing, intelligent systems, parallel computing, hardware engineering, systems integration, high-performance computing.

7. Information Systems

   Management information systems, databases, software engineering, decision support systems, enterprise systems, systems analysis, information technology governance, digital transformation, geographic information systems, information systems auditing, human-computer interaction.

8. Marine Science

   Physical oceanography, chemical oceanography, biological oceanography, marine ecology, marine microbiology, marine conservation, coastal resources, marine environmental quality, marine technology, oceanographic modeling, marine data systems, coastal dynamics.

9. Integrative Computational Science

   Scientific computing, artificial intelligence for science, data-driven modeling, systems simulation, multidisciplinary computing, scientific data integration, remote sensing, spatial analytics, computation for biology, computation for chemistry, computation for geophysics, computation for marine science.