Updated Submission Guidelines for Manuscript Figures

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Asia Pacific Academy of Science Pte. Ltd. (APACSCI) specializes in international journal publishing. APACSCI adopts the open access publishing model and provides an important communication bridge for academic groups whose interest fields include engineering, technology, medicine, computer, mathematics, agriculture and forestry, and environment.

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Featured Articles

Garment-aware gaussian for clothed human modeling from monocular video

Reconstructing the human body from monocular video input presents significant challenges, including a limited field of view and difficulty in capturing non-rigid deformations, such as those associated with clothing and pose variations. These challenges often compromise motion editability and rendering quality. To address these issues, we propose a cloth-aware 3D Gaussian splatting approach that leverages the strengths of 2D convolutional neural networks (CNNs) and 3D Gaussian splatting for high-quality human body reconstruction from monocular video. Our method parameterizes 3D Gaussians anchored to a human template to generate posed position maps that capture pose-dependent non-rigid deformations. Additionally, we introduce Learnable Cloth Features, which are pixel-aligned with the posed position maps to address cloth-related deformations. By jointly modeling cloth and pose-dependent deformations, along with compact, optimizable linear blend skinning (LBS) weights, our approach significantly enhances the quality of monocular 3D human reconstructions. We also incorporate carefully designed regularization techniques for the Gaussians, improving the generalization capability of our model. Experimental results demonstrate that our method outperforms state-of-the-art techniques for animatable avatar reconstruction from monocular inputs, delivering superior performance in both reconstruction fidelity and rendering quality.

From paper to virtual: The meta-life of a historical cartographic artifact

The Charta of Rigas Velestinlis is one of the most important works of the eighteenth-century Neo-Hellenic Enlightenment and the most characteristic sample of Greek scholar cartography. Printed in Vienna in 1220 copies in 1796-1797, this emblematic map of the Balkan peninsula significantly influenced the development of ideas and perspectives that inspired the Greek War of Independence from the Ottoman Empire in 1821. The sixty (60) known remaining copies of this valuable material in Greece and abroad remain stored in the confined spaces of libraries, museums, and archives, strictly guarded for security, conservation, and preservation. This renders their access difficult to both the general public and the educational community. Since the Onassis Library and the General State Archives of Greece—Cartographic Heritage Archives both possess an original copy of this historical document each, they design and implement many educational programs aiming at highlighting its importance and reintroducing it to the public. This paper will present how the usage of new technologies, both in software and hardware, has facilitated the showcasing of cultural heritage artifacts, such as Rigas’ Charta, with an emphasis on technologies and resources that are freely available to everyone. It will also be demonstrated how the digitization projects, the digital libraries, repositories, and platforms implemented by many cultural and research organizations during the last decade, presented the opportunity for the new generation to come in contact with a variety of “locked away” historical documents, like Rigas’ Charta, allowing their reuse and reinterpretation while providing unlimited potential for the collection, research and presentation of facts, evidence and data. Furthermore, the incorporation of this digital cultural wealth in the school curriculum through targeted educational programs and the creative combination with open-source metaverse development tools, unleashed the possibilities of reviving the past, extending the life span of old materials to perpetuity. As a result, this multimodal approach paved the way for the emergence of a new more democratic, open-access, and inclusive educational model.

Deciphering avian emotions: A novel AI and machine learning approach to understanding chicken vocalizations

In this groundbreaking study, we present a novel approach to interspecies communication, focusing on the understanding of chicken vocalizations. Leveraging advanced mathematical models in artificial intelligence (AI) and machine learning, we have developed a system capable of interpreting various emotional states in chickens, including hunger, fear, anger, contentment, excitement, and distress. Our methodology employs a cutting-edge AI technique we call Deep Emotional Analysis Learning (DEAL), a highly mathematical and innovative approach that allows for the nuanced understanding of emotional states through auditory data. DEAL is rooted in complex mathematical algorithms, enabling the system to learn and adapt to new vocal patterns over time. We conducted our study with a sample of 80 chickens, meticulously recording and analyzing their vocalizations under various conditions. To ensure the accuracy of our system’s interpretations, we collaborated with a team of eight animal psychologists and veterinary surgeons, who provided expert insights into the emotional states of the chickens. Our system demonstrated an impressive accuracy rate of close to 80%, marking a significant advancement in the field of animal communication. This research not only opens up new avenues for understanding and improving animal welfare but also sets a precedent for further studies in AI-driven interspecies communication. The novelty of our approach lies in its application of sophisticated AI techniques to a largely unexplored area of study. By bridging the gap between human and animal communication, we believe our research will pave the way for more empathetic and effective interactions with the animal kingdom.

Dear Authors,
We are pleased to announce that we have updated the requirements for manuscript figures in the submission guidelines. Manuscripts submitted after April 15, 2025 are required to strictly adhere to the change. These updates are aimed at ensuring the highest quality of visual content in our publications and enhancing the overall readability and impact of your research. For more details, please find it in sumissions.

Specially noted content is as followed:

File Formats and Resolution: Images should be submitted in preferred formats such as PNG, JPG, SVG, with a resolution exceeding 300 dpi. Vector formats (e.g., SVG) are preferred for scalable images like graphs and line drawings. For line drawings, a higher resolution is necessary compared to photographic images, as each line must be rendered with precision.
Aesthetic and Technical Quality: Images should not only be aesthetically pleasing but also possess appropriate brightness and contrast levels to guarantee clarity.
Abbreviation: Any abbreviations or symbols utilized in the figures must be clearly defined in their respective legends (except for those already mentioned in this article).

Note: Failure to provide images in the specified format and resolution may significantly compromise image quality and readability. If an individual image is excessively large, it may lead to slow loading or system timeouts. It is advisable that the PDF file for each article remains under 10 MB to enhance the reading experience for users.

If your manuscript includes figures that have been previously published or are not your original work, you must obtain written permission from the copyright holder and include a statement in the figure legend.
Manuscripts with figures that do not meet these requirements may be returned to the authors for revision before proceeding with the review process.

We understand that these updates may require some adjustments on your part, and we appreciate your cooperation in adhering to these new guidelines. If you have any questions or need further clarification, please do not hesitate to contact our editorial office at [editorial@journalname.com].
Thank you for choosing to submit your research to our journal. We look forward to your continued contributions to the scientific community.

Best regards,

Editorial Office of Metaverse

April 17, 2025

Academic Supporter

Institute for Metaverse, School of Artificial Intelligence, Nanjing University of Information Science & Technology (NUIST), China

Editor-in-Chief

Prof. Zhigeng Pan

Director, Institute for Metaverse, Nanjing University of Information Science & Technology, China

Honorary Editor-in-Chief

Prof. Jianrong Tan

Academician, Chinese Academy of Engineering, China

Indexing & Archiving

News & Announcements

2025-04-15

Updated Submission Guidelines for Manuscript Figures!

We are pleased to announce that we have updated the requirements for manuscript figures in the submission guidelines. Manuscripts submitted after April 15, 2025 are required to strictly adhere to the change. These updates are aimed at ensuring the highest quality of visual content in our publications and enhancing the overall readability and impact of your research. For more details, please find it in sumissions...

2025-04-10

Metaverse Scientist Forum No.2

Date and Time: April 13, 2025 16:00-17:30pm (Beijing Time)

#VooV Meeting VooV ID: 771-932-597...

2025-04-01

Update on Journal Focus and Scope!

We encourage scholars from around the world to follow the journal’s Focus and Scope prior to submission...

2025-03-26

Congratulations to Prof. Baochang Zhang on the list of the Highly Cited Chinese Researchers by Elsevier!

Congratulations to Prof. Baochang Zhang, a distinguished member of the journal's editorial board, on being honored with a place on the list for the 5th times...

More Announcements...