About the Journal

Academic Journal of Natural Science is peer-reviewed journal of Southern United Academy of Sciences published in the field of Natural Science and Experimental Research. The journal registers independent DOI and ARK for each article. The DOI prefix is ​​10.70393 and the ARK prefix is ​​40704.

ISSN 3078-5170 (Print), ISSN 3078-5189 (Online), ISSN 3078-5197 (Digital), International CODEN (CAS): AJNSAE

The journal focuses on the following fields:

  • Biological Sciences - Genetics, Microbiology, Ecology
  • Chemistry - Organic Chemistry, Analytical Chemistry, Physical Chemistry
  • Physics - Quantum Mechanics, Thermodynamics, Electromagnetism
  • Earth Sciences - Geology, Meteorology, Oceanography
  • Environmental Sciences - Environmental Engineering, Conservation Biology
  • Materials Sciences - Nanotechnology, Polymer Science, Metallurgy
  • Astronomy - Astrophysics, Exoplanetary Science, Cosmology
  • Computer Science - Artificial Intelligence, Cybersecurity, Data Science
  • Engineering - Mechanical Engineering, Electrical Engineering
  • Medical Sciences - Oncology, Neurology, Cardiology

All articles published by JCTAM are indexed by OpenAIRE, BASE, WorldCat and ICI.

(BASE - Bielefeld Academic Search Engine | WorldCat - OCLC)

All articles published are rigorously reviewed meeting the Journal Quality standards.

Announcements

Current Issue

Vol. 2 No. 1 (2025)
					View Vol. 2 No. 1 (2025)

All articles published in this issue have undergone a thorough peer review process, and stringent checks for repetition rates have been implemented to ensure the integrity of the content.

Total number of articles in this issue: 3
Total number of pages in this issue: 17

For inquiries regarding the content of specific articles, please feel free to contact the respective authors via their provided email addresses. For questions related to the journal itself, please reach out directly to SUAS Press.

Published: 2025-01-14

Articles

  • Authors: Haozhong Xue, Yanyi Zhong, Jingwen He
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Artificial Intelligence
    Publication ID: v2n1a01
    Abstract: This study explores the application of artificial intelligence (AI) technology in media convergence, focusing on how AI is driving deep integration of media and financial markets through big data analytics, AIGC (AI-generated content), and...
    1-6
    DOI Icon Abstract views: 37 | DOI Icon PDF downloads: 12 | DOI Icon references: 32
    DOI Icon DOI: 10.70393/616a6e73.323531
    DOI Icon ARK: ark:/40704/AJNS.v2n1a01
  • Authors: Yuqun Zhou, Zuen Cen
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Artificial Intelligence
    Publication ID: v2n1a02
    Abstract: This paper proposes a novel framework that integrates stochastic programming and machine learning to optimize pre-disaster relocation strategies. Building upon existing game-theoretic and decision analysis models, this study presents a two-stage...
    7-11
    DOI Icon Abstract views: 43 | DOI Icon PDF downloads: 13 | DOI Icon references: 27
    DOI Icon DOI: 10.70393/616a6e73.323631
    DOI Icon ARK: ark:/40704/AJNS.v2n1a02
  • Authors: Yuqun Zhou, Zuen Cen
    Resource Type: Article
    Disciplines: Biological Sciences | Subjects: Genetics
    Publication ID: v2n1a03
    Abstract: The convergence of Generative AI (GenAI) and stochastic programming introduces unprecedented opportunities for optimizing plant breeding strategies under uncertainty. This paper presents a hybrid framework that integrates Large Language Models...
    12-17
    DOI Icon Abstract views: 45 | DOI Icon PDF downloads: 19 | DOI Icon references: 28
    DOI Icon DOI: 10.70393/616a6e73.323632
    DOI Icon ARK: ark:/40704/AJNS.v2n1a03
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