Virtual reality (VR) and augmented reality (AR) continue to play an important role in vocational training in the current pandemic and Industrial Revolution 4.0 era. Welding is one of the highly demanded vocational skills for various manufacturing and construction industries. Students need to undergo many practical sessions to become skilful welders. However, conventional training is very costly in terms of material, time, and infrastructure. Hence, we explore the intervention of VR and AR in welding training, which includes the research purposes, VR and AR technologies, and welding concepts and activities. We performed a comprehensive search of articles from the year 2000 to 2021. After filtering through inclusion criteria and full-text assessment, a total of 42 articles were coded and evaluated. While there has been growth in VR and AR welding training research, there is little discussion in their effectiveness for supporting distance learning, and most studies targeted entry-level students. Our main contributions are classifying primary functions in the virtual welding workshops and their adaptation to the psychomotor domain. We hope these results can empower the research community to develop and improve the VR and AR system and evaluation instruments to support vocational training, especially during this pandemic.

This book chapter aims to discuss the 3D ultrasound reconstruction and visualization. First, the various types of 3D ultrasound system are reviewed, such as mechanical, 2D array, position tracking-based freehand, and untrackedbased freehand. Second, the 3D ultrasound reconstruction technique or pipeline used by the current existing system, which includes the data acquisition, data preprocessing, reconstruction method and 3D visualization, is discussed. The reconstruction method and 3D visualization will be emphasized. The reconstruction method includes the pixel-based method, volume-based method, and function-based method, accompanied with their benefits and drawbacks. In the 3D visualization, methods such as multiplanar reformatting, volume rendering, and surface rendering are presented. Lastly, its application in the medical field is reviewed as well.

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Here, we present the complete mitochondrial genome of Pachliopta aristolochiae , a Common Rose butterfly from Malaysia. The sequence was generated using Illumina NovaSeq 6000 sequencing platform. The mitogenome is 15,235bp long, consisting of 13 protein-coding genes, 22 transfer RNAs, two ribosomal RNAs, and two D-loop regions. The total base composition was (81.6%), with A (39.3%), T (42.3%), C (11.0%) and G (7.3%). The gene order of the three tRNAs was trnM-trnI-trnQ , which differs from the ancestral insect gene order trnI-trnQ-trnM . Phylogenetic tree analysis revealed that the sequenced Pachliopta aristolochiae in this data is closely related to Losaria neptunus (NC 037868), with highly supported ML and BI analysis. The data presented in this work can provide useful resources for other researchers to study deeper into the phylogenetic relationships of Lepidoptera and the diversification of the Pachliopta species. Also, as one of the bioindicator species, this data can be used to assess environmental changes in the terrestrial and aquatic ecosystem via enviromental DNA approahes. The mitogenome of Pachliopta aristolochiae is available in GenBank under the accession number MZ781228.

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