Theoretical and Natural Science

Open access

Print ISSN: 2753-8818

Online ISSN: 2753-8826

About TNS

The proceedings series Theoretical and Natural Science (TNS) is an international peer-reviewed open access series which publishes conference proceedings from a wide variety of disciplinary perspectives concerning theoretical studies and natural science issues. TNS is published irregularly. The series publishes articles that are research-oriented and welcomes theoretical articles concerning micro and macro-scale phenomena. Proceedings that are suitable for publication in the TNS cover domains on various perspectives of mathematics, physics, chemistry, biology, agricultural science, and medical science. The series aims to provide a high-level platform where academic achievements of great importance can be disseminated and shared.

Aims & scope of TNS are:
·Mathematics and Applied Mathematics
·Theoretical Physics
·Chemical Science
·Biological Sciences
·Agricultural Science & Technology
·Basic Science of Medicine
·Clinical and Public Health

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Editors View full editorial board

Sheiladevi Sukumaran
SEGi University
Malaysia
Editorial Board
Derek Mohammed
Saint Leo University
United States
Editorial Board
Javier Cifuentes-Faura
University of Murcia
Spain
Editorial Board
Çiğdem Gülüzar Altıntop
Erciyes University
Turkey
Editorial Board

Latest articles View all articles

Research Article
Published on 17 April 2025 DOI: 10.54254/2753-8818/2025.MUR22050
Yuxin Fan

In the context of rising global CO₂ content, Carbon Capture, Utilization and Storage (CCUS) has come into people's attention because it can effectively reduce atmospheric CO₂ content. CCUS is mainly divided into three steps: capture, utilization and storage. Researchers have developed corresponding technologies that can improve efficiency and reduce losses in each link, and mature demonstration projects have emerged. However, the current development of CCUS still faces many difficulties, such as the technology is not mature enough, the integration level is low, the investment cost is high, the relevant talent shortage, and the business model is not yet formed and unclear. However, researchers have proposed some feasible solutions. This paper focuses on the CCUS process, outstanding related technologies, and lists some demonstration projects. In addition, it also summarizes the problems and solutions facing the current development of CCUS. Finally, the future of CCUS is prospected.

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Fan,Y. (2025). The Current Situation and Future Development Trends of CCUS. Theoretical and Natural Science,102,9-16.
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Research Article
Published on 10 April 2025 DOI: 10.54254/2753-8818/2025.MUR21970
Fengrui Hou

Hydrogen sulfide (H₂S), as a critical gasotransmitter, plays a dual role in regulating tumor growth depending on its concentration and tumor type. In nasopharyngeal carcinoma (NPC), systematic reviews have demonstrated the involvement of H₂S in multiple cellular processes, including cell proliferation, apoptosis, and metastasis. This study systematically explores the molecular mechanisms of H₂S in NPC, focusing on its role in modulating signaling pathways, for example, PI3K/AKT, Wnt/β-catenin, and ROS-mediated pathways. The findings indicate that H₂S exerts its effects by regulating the expression of oncogenes and tumor suppressor genes, altering the tumor microenvironment, and influencing mitochondrial function. These insights provide a foundation for novel therapeutic strategies targeting H₂S metabolism in NPC.

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Hou,F. (2025). The Molecular Mechanism of Hydrogen Sulfide Regulation on Nasopharyngeal Carcinoma Cell Growth. Theoretical and Natural Science,102,1-8.
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Research Article
Published on 17 April 2025 DOI: 10.54254/2753-8818/2025.CH22228
Yueqian Liang

Utilizing data from Chinese A-share listed companies between 2013 and 2022, this study investigates the governance effect of digital transformation on corporate environmental information misrepresentation and its underlying mechanisms. The empirical findings reveal that (1) digital transformation significantly inhibits corporate greenwash behavior; (2) Organizational dynamic capabilities act as a partial mediator between digital transformation and greenwashing behavior, with digital advancements curbing information distortion by strengthening knowledge integration, innovation mechanisms, and external environmental responsiveness; (3) the heterogeneity analysis reveals that the inhibition effect is more pronounced for non-state-owned enterprises and enterprises in the eastern region, which indicates that the degree of marketization and the institutional environment are the important boundary conditions. The study reveals the non-economic benefits of digital transformation in environmental governance, and provides theoretical and practical basis for policy makers to promote green transformation of enterprises.

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Liang,Y. (2025). The Impact of Digital Transformation on Corporate Bleaching Green Behavior. Theoretical and Natural Science,101,40-51.
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Research Article
Published on 17 April 2025 DOI: 10.54254/2753-8818/2025.CH22224
Ye Kang, Wenqi Wang

Precision agriculture offers a promising solution to enhance crop productivity and sustainability amidst global agricultural challenges. This paper reviews the development and application of computer vision technologies in modern farming, with a focus on deep learning techniques such as Convolutional Neural Networks (CNNs), including Residual Network (ResNet), You Only Look Once (YOLO), and Segmentation Network (SegNet), applied to disease detection, weed classification, and crop health monitoring. The integration of Unmanned Aerial Vehicles (UAVs), robotics, and the Internet of Things (IoT) has significantly advanced agricultural efficiency. However, challenges such as data scarcity, computational limitations, and environmental variability continue to impede large-scale adoption. Emerging solutions, such as lightweight AI models, edge computing, and multi-source data fusion, offer potential pathways to overcome these hurdles. These innovations are critical for scaling, adapting, and sustaining precision agriculture technologies. This paper provides an overview of the current state of computer vision in precision agriculture, identifies key challenges, and outlines future research directions aimed at advancing the field.

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Kang,Y.;Wang,W. (2025). A Review of Computer Vision Technologies in Precision Agriculture: From Crop Disease Detection to Farm Management. Theoretical and Natural Science,101,34-39.
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Volumes View all volumes

Volume 102April 2025

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Proceedings of ICEGEE 2025 Symposium: Impact of Technological Innovation on Energy Efficiency in European Countries

Conference website: https://www.icegee.org/murcia.html

Conference date: 16 May 2025

ISBN: 978-1-80590-013-9(Print)/978-1-80590-014-6(Online)

Editor: Javier Cifuentes-Faura

Volume 101April 2025

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Proceedings of CONF-MPCS 2025 Symposium: Mastering Optimization: Strategies for Maximum Efficiency

Conference website: https://www.confmpcs.org/workshop_chicago.html

Conference date: 21 March 2025

ISBN: 978-1-80590-017-7(Print)/978-1-80590-018-4(Online)

Editor: Marwan Omar, Anil Fernando

Volume 100April 2025

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Proceedings of the 3rd International Conference on Mathematical Physics and Computational Simulation

Conference website: https://www.confmpcs.org/

Conference date: 27 June 2025

ISBN: 978-1-80590-015-3(Print)/978-1-80590-016-0(Online)

Editor: Anil Fernando

Volume 99April 2025

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Proceedings of the 5th International Conference on Biological Engineering and Medical Science

Conference website: https://www.icbiomed.org/

Conference date: 17 October 2025

ISBN: 978-1-80590-007-8(Print)/978-1-80590-008-5(Online)

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