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Documenting tangible cultural heritage using 3D modeling techniques is gradually becoming an indispensable component of archaeological practice. The 3D modeling techniques based on photogrammetry and LiDAR scanning enable high-accuracy and high-realistic reconstruction of archaeological sites, and have been proven a powerful tool for documenting archaeological excavations. However, dynamically documenting an ongoing excavation using these techniques is still considered tedious, time-consuming, expensive, and dependent on expertise. Moreover, the application of 3D modeling techniques in archaeological excavations still faces some technical challenges, such as modeling with multi-source and multi-scale data, fusing local models at different times into a whole, achieving fast modeling while GPU workstations are not available in the field, and evaluating the quality of 3D models. As a result, there are still very few archaeological teams deeply engaged in dynamic documentation with 3D modeling techniques, and traditional drawing sketches and taking photographs still dominate. In these senses, documenting the archaeological excavation at the Yunxian Man site (located in Hubei, China) is an invaluable opportunity for exploration and practice. Archaeologists determined to conduct dynamically documenting at the beginning of the 6th excavation project for the site, and established a rotation system to reconcile physical excavation with digital preservation. Through repeated practice and communication, we proposed a workflow and pursued several new methods to enhance the feasibility of dynamically documenting, and obtained 4D models of the ongoing archaeological excavations. In 2022, the Yunxian Man site unearthed the most intact fossil of hominin cranium from about one million years ago in the Eurasian continent, preserving important and scarce anatomical features of early humans in Asia. As the original taphonomic context of the fossil corroded away during physical excavations, the digital documentation consisting of 4D models serves as permanent original data source in subsequent archaeological research. Moreover, we obtained cross-scale 3D models from geographical environment to archaeological site, excavation area, and cultural remains, and all of these 3D models are in an actual, unified coordinate framework. Thus, we can contribute to multidisciplinary cross-collaborative research through data sharing. Considering that digital documentations serve a great value in archaeological research, this paper focuses on sharing the workflow and methods to facilitate digital preservation for more archaeological projects. [ABSTRACT FROM AUTHOR]

A letter to the editor is presented regarding the use of 10 000 mouse primordial germ cells for the modification of the chromatin immunoprecipitation-sequencing (ChIP-Seq) of H3K4me3 markers.

Background: Chemerin is an important risk factor of insulin resistance. Non-alcoholic fatty liver has typical characteristics of insulin resistance. The aim of this study was to explore the potential role of chemerin in NAFLD., Methods: 45 subjects included 22 control subjects (A group) and 23 subjects diagnosed with non-alcoholic fatty liver disease (B group) participated in the study. 23 patients in the NAFLD group received oral daily metformin at a dose of 20 mg/kg/day for 24 weeks follow-up. Chemerin and insulin resistance markers were determined at baseline and 24 weeks., Results: The levels of WHR, BMI, FINS, HOMA-IR, TG, ALT, AST, and Chemerin in B group were significantly higher than A group. After 24 weeks of metformin treatment, the levels of WHR, AST, ALT, TG, chemerin and HOMA-IR were significantly reduced (p < 0.05) and other indexes were not changed significantly. Correlation analysis indicated that serum chemerin concentrations were positively correlated with BMI, WHR, HOMA-IR, FINS, TG, ALT, and AST levels. Logistic regression analysis showed chemerin, TG, and ALT were independent variables associated with NAFLD., Conclusions: These findings showed a significant increase of chemerin level in NAFLD patients. Metformin treatment can improve NAFLD and decrease the level of chemerin. Chemerin, TG, and ALT were independent variables associated with NAFLD.