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Objectives：In mid- to late- April 2024, an extreme heavy rainfall event occurred in Shaoguan City, Guangdong Province, inducing a large number of landslides in Jiangwan Town, Shaoguan. People lost connection with the outside world for nearly 36 hours, which aroused widespread social concern. Rapidly and accurately identifying the basic characteristics of landslides, development and distribution patterns and formation conditions is crucial for disaster emergency decision-making and risk elimination and disposal. Methods: Using the post-disaster optical remote sensing images and combining with deep learning model, the rainfall-induced landslides in Jiangwan Town, Shaoguan, were quickly and automatically identified. Results:After manually calibration, a total of 1 192 landslides were deciphered, with a total area of about 3.14 km². The scale of the landslides was dominated by small and medium-sized landslides, which were mainly distributed as an aggregated belt along the river in the northeast-southwest direction, with a significant characteristic of concentrated occurrence. Spatial statistical analysis showed that the landslides were mainly distributed on concave slopes with slopes of 10°-30° in the range of 200-300 m elevation. Further quantitative analysis of the geomorphic controlling factors of landslides using the random forest model and SHAP theory reveals that different topographic and geomorphic factors have different degrees of nonlinear effects on landslide formation, and that multiple factors such as elevation, slope, and catchment conditions are coupled to jointly control the formation of landslides. Conclusions: This paper highlights the great advantage of deep learning-based intelligent identification and analysis technology in the emergency investigation and formation conditions analysis of landslide disasters, which can provide important technical support for the rapid assessment of disaster losses and risk identification. [ABSTRACT FROM AUTHOR]

Copyright of Geomatics & Information Science of Wuhan University is the property of Geomatics & Information Science of Wuhan University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Science Technology & Engineering is the property of Chinese Society of Technology Economics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Special Oil & Gas Reservoirs is the property of Special Oil & Gas Reservoirs Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of South China Fisheries Science is the property of South China Fisheries Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Geomatics & Information Science of Wuhan University is the property of Geomatics & Information Science of Wuhan University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Tobacco Science & Technology is the property of Tobacco Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Shanghai Ocean University is the property of Editorial Department of Journal of Shanghai Ocean University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Engineering Mechanics / Gongcheng Lixue is the property of Engineering Mechanics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objectives: Lanzhou New Area is an important window for the development of northwest China. In recent years, the large‐scale construction of mountain excavation and city construction project has led to different degrees of land subsidence, which has seriously threatened the economic and social development of the new area. Methods: Taking Lanzhou New Area as the research object, this paper uses small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) to process 58 ascending Sentinel-1A image data covering the study area from May 2017 to February 2021. The distribution characteristics and spatio temporal evolution of land subsidence in the study area were obtained, and the SBAS-InSAR measurement results were verified by field investigation. Then the related factors affecting land subsidence were discussed. Results: The results show that land subsidence in Lanzhou New Area is mainly concentrated in mountain excavation and city construction area, with an area of about 33.5 km² and a maximum subsidence rate of-68 mm/a. In space, with the development of excavation and filling projects, the land subsidence develops to the southeast of the new district, and the land surface presents a long‐term continuous settlement process. Conclusions: Land subsidence is closely related to many factors such as mountain excavation and city construction project, thickness of excavation and filling, geology and road. Specifically, mountain excavation and city construction project control the spatial extent of land subsidence, and then the filling thickness control the magnitude of land subsidence. The nature of artificial fill is an intrinsic factor causing land subsidence, while road construction will also accelerate the process of land subsidence. The research results can provide scientific basis for the sustainable and safe development of the new district and urban planning and construction. [ABSTRACT FROM AUTHOR]

Copyright of Science & Technology of Food Industry is the property of Science & Technology of Food Industry Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Engineering Geology / Gongcheng Dizhi Xuebao is the property of Journal of Engineering Geology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Big data has provided new opportunities for landslide research, but in-depth mining of landslide data is still limited due to complex data types, diverse semantic relationships, and unclear sharing mechanisms. And it is difficult to give full play to the advantages of big data in landslide research. In this paper, a landslide knowledge graph construction method for the field of engineering geology is proposed, which extracts, fuses and structures multi-source heterogeneous landslide knowledge to realize the inquiry, correlation and reasoning of landslide knowledge big data. The combination of top-down and bottom-up methods was used to divide the concept and ontology of landslides. A knowledge graph model layer was formed based on 10 categories of knowledge, including landslide field investigation, landslide evaluation, landslide type, landslide geomorphological characteristics, landslide morphological characteristics, landslide disaster information, states of activity of landslides, landslide genesis mechanism, landslide stability analysis method, and landslide prevention and control measures. The knowledge graph model layer includes concept layer, attribute layer, relationship layer, rule layer, and instance layer, and it is constructed by extracting landslide knowledge information from broad data sources, establishing semantic networks and integrating redundant knowledge. The Neo4j platform is used to store landslide knowledge, realize knowledge visualization and retrieval, and provide new ideas and methods for landslide mechanism research and disaster prevention and mitigation. The proposed construction method of landslide knowledge graph can be extended to the research of other types of disaster knowledge graph, and is linked with other disciplines to promote the deep intersection and integration of disciplines. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Geodesy & Geodynamics (1671-5942) is the property of Editorial Board Journal of Geodesy & Geodynamics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objectives: As one of the precursor features of slope deformation, surface cracks can provide forecast information for the early identification of geological hazards and the determination of motion instability characteristics. Affected by terrain conditions, the efficiency of manual investigation is low, and it is difficult to solve the problem of size effect and noise filtering of cracks in complex backgrounds using a single remote sensing data identification. In order to efficiently collect the location and geometry information of surface fractures on deformed slopes, the main purpose is to develop a method system for automatic crack identification and information statistics based on remote sensing data, which is suitable for large-scale slope surfaces. Methods: Using the high-resolution three⁃dimensional point cloud and orthophoto image generated by autonomous terrain-following flight technology as the data source, the automatic extraction of cracks and the statistical research on the deformed slope of the reservoir bank of Baihetan Hydropower Station are carried out. The initial automatic identification of slope cracks is completed by using six algorithm models with point cloud's roughness, slope, dispersion and digital image's pixel gradient, gray value and RGB (red green blue) value as identification features respectively. Completed receiver operating characteristic curve (ROC) tests of different models and determined segmentation thresholds. The initial extraction results are processed by morphological repair and three filtering algorithms of crack direction, length and frequency based on density-based spatial clustering of applications with noise (DBSCAN) algorithm index to deal with background noise. The two-category evaluation index is used to analyze the pros and cons of the 6 filtered crack extraction results, and for the effect of crack size, the optimal detection model after data fusion is obtained. Based on the crack skeleton and outline, 6 quantitative characteristic indicators of quantity, length, width, direction, dispersion, and crack density are automatically calculated. Results: Starting from the fracture image characteristics of different scales, 6 different fracture identification models are used and ROC test is carried out, and the area under the curve values are all between 0.6 and 0.85. The highest F1 value of the model after fusion is 0.835 0, which can better meet the actual engineering needs. The morphological repair and filtering algorithm proposed can effectively reduce the background noise of cracks, improve the overall accuracy of the model, and can remove up to 82.7% of the noise with minimal crack distortion. The density clustering algorithm of DBSCAN is used to complete the fracture pixel classification and quantity statistics, and according to the ratio of pixel size and actual distance, the algorithm automatically completes the information acquisition of fractures, which can provide technical support for quantitative description and evaluation of fracture characteristics. Various types of crack identification algorithms used in this paper have different advantages and disadvantages and applicable situations, and the optimal combination relationship can be selected according to the field conditions with different characteristics. Conclusions: In this study, a method for automatic crack extraction and information statistics is constructed in a large-scale, multi-scale complex deformation slope scene, which can meet the needs of actual production operations. At the same time, it has important practical significance to further promote the early identification of geological disasters and intelligent monitoring and early warning. [ABSTRACT FROM AUTHOR]

The development of modern tropical marine ranching is an important means to conserve fishery resources and protect the marine ecological environment in the South China Sea, which has far-reaching significance for the conservation and scientific utilization of fishery resources in the South China Sea. Artificial reefs are one of the important tools to create marine ranching habitats. However,due to the deep water in the South China Sea,conventional reefs are difficult to play a role,whereas floating reefs can make use of the water space in the middle and upper layers,and are the best facilities to create deep water fishing grounds. This study reviews the types,functions,and application scenarios of floating fish reefs,summarizes relevant research and current status both domestically and internationally,and looks forward to the future of floating fish reefs in the South China Sea,including their role in information-based monitoring of ocean ranching,recreational fishing, conservation of upper-middle level fishery resources,and the construction of offshore ocean ranching. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Ordnance Equipment Engineering is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Dalian Ocean University is the property of Journal of Dalian Ocean University Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Hydrogeology & Engineering Geology / Shuiwendizhi Gongchengdizhi is the property of Hydrogeology & Engineering Geology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Engineering Geology / Gongcheng Dizhi Xuebao is the property of Journal of Engineering Geology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Atomic Energy Science & Technology is the property of Editorial Board of Atomic Energy Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

随着社区居民生活水平的不断提高，以及这两年新冠疫情的暴发，人们对社区公共卫生的想法发生了较 大转变，越来越突显出公共卫生工作在疾病预防中的作用。社区公共卫生工作的有效开展不仅关系到人民群众的正常 生活，也关系到社会秩序的正常维持。 [ABSTRACT FROM AUTHOR]

Copyright of International Architecture is the property of Omniscient Pte. Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of International Architecture is the property of Omniscient Pte. Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of South China Fisheries Science is the property of South China Fisheries Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Tunnel Construction / Suidao Jianshe (Zhong-Yingwen Ban) is the property of Tunnel Construction Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Chinese Journal of Geological Hazard & Control is the property of China Institute of Geological Environmental Monitoring (CIGEM) Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Signal Processing is the property of Journal of Signal Processing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of East China Geology / Huadong dizhi is the property of Editorial Department of East China Geology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

BACKGROUND: Induced pluripotent stem cells have many advantages such as differentiation totipotency, wide source, easy access and no ethical constraints, so they rapidly become promising seed cells in the field of tissue engineering. OBJECTIVE: To review the progress of induced pluripotent stem cells in bone surgery tissue engineering. METHODS: The electronic database PubMed was searched by the first author. The key words were “iPSCs, osteanagenesis, tendon, spinal cord, spinal cord, tissue engineering, regenarative medicine”. The literature published from 2000 to 2020 was searched. A total of 50 articles were selected as references for review, screening the documents with strong relevance and excluding those with little content. RESULTS AND CONCLUSION: Compared with mesenchymal stem cells and embryonic stem cells, induced pluripotent stem cells have many advantages, such as wide source, easy access, no ethical constraints and controllable gene instability, reducing immune rejection. Induced pluripotent stem cells technology in bone surgery tissue engineering research showed satisfactory results. Key words: stem cells; induced pluripotent stem cells; tendon; bone; cartilage; spinal cord; tissue engineering; review [ABSTRACT FROM AUTHOR]

Copyright of Taiwanese Journal of Agricultural Chemistry & Food Science is the property of Agricultural Chemical Society of Taiwan and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Tunnel Construction / Suidao Jianshe (Zhong-Yingwen Ban) is the property of Tunnel Construction Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of East China Geology / Huadong dizhi is the property of Editorial Department of East China Geology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)