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Copyright of Automotive Digest is the property of Automotive Digest 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 Ecology & Rural Environment is the property of Journal of Ecology & Rural Environment 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.)

Aiming at the issue of complex 3D shape analysis and recognition, this paper presented a novel 3D graph convolu- tion classification method. It established a joint graph convolution learning mechanism of local geometry and global structure to provide both geometrical features and global context features, which effectively improved the robustness and stability of 3D data learning. Firstly, it constructed the local graph in spatial domain by farthest point sampling and K-nearest neighbor method, and designed a dynamic spectral graph convolution operator to extract local geometric features effectively. Meanwhile, it con- structed the global feature graph based on random sampling in the feature domain, and obtained the global structure context by spectral graph convolution. Furthermore, it established a weighted graph convolution network with an attention mechanism to achieve adaptive feature fusion. Finally, under the optimization of objective function, it improved the performance of feature learning effectively. Experimental results show that the proposed joint network learning mechanism, which combined local geo- metric features with global structure features, enhances the representation ability and discrimination of deep features, and ob- tains better recognition and classification performance compared with advanced methods. This method can be used for large- scale point clouds recognition, 3D shape reconstruction and data compression. It has important research significance and broad application prospects in robot, product digital analysis, intelligent navigation, virtual reality and other fields. [ABSTRACT FROM AUTHOR]

Copyright of China Synthetic Fiber Industry is the property of Sinopec Baling Petrochemical Company 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 Urban Architecture & Development 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 Engineering Management & Technology Discussion 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 Journal of Vibration, Measurement & Diagnosis is the property of Nanjing Hangkong Daxue 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 Geology & Resources is the property of Geology & Resources 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.)

BACKGROUND: Exercise therapy for adolescent idiopathic scoliosis has been recognized by The International Scientific Society on Scoliosis Orthopaedic and Rehabilitation Treatment, but there are fewer clinical studies on specific physiotherapy combined with exercise therapy for specific subtypes of adolescent idiopathic scoliosis. OBJECTIVE: To analyze the clinical effect of instrument-assisted soft tissue mobilization combined with physiotherapy scoliosis specific exercises on adolescent patients with idiopathic scoliosis type RigoA. METHODS: Eighteen adolescent idiopathic scoliosis RigoA patients admitted to The Fifth Hospital of Harbin City between December 2020 and December 2021 were selected, including 6 males and 12 females, at the age of 10-16 years. The patients were randomly divided into trial group (n=10) and control group (n=8). The trial group underwent Instrument-Assisted Soft Tissue Mobilization combined with Physiotherapy Scoliosis Specific Exercises and the control group only received Instrument Assisted Soft Tissue Mobilization. The frequency of treatment was once a week. RESULTS AND CONCLUSION: (1) After 24 weeks of treatment, the Cobb angle and thoracic curvature of the trial group were lower than those before treatment (P < 0.05), while the Cobb angle and thoracic curvature of the control group had no significant changes compared with those before treatment (P > 0.05). The Cobb angle and thoracic curvature were lower in the trial group than those of the control group (P < 0.05). (2) After 24 weeks of treatment, the axial trunk rotation angle of the trial group was lower than that before treatment (P < 0.05). There was no significant change in the axial trunk rotation angle in the control group compared with that before treatment (P > 0.05). The axial trunk rotation angle of the trial group was lower than that of the control group (P < 0.05). (3) The visual analog scale scores of the first treatment and 10 and 24 weeks after treatment in both groups were lower than those before treatment (P < 0.05). The visual analog scale score of the trial group after 24 weeks of treatment was lower than that of the control group (P < 0.05). (4) After 24 weeks of treatment, the vital capacity of the trial group was higher than that before treatment (P < 0.05). There was no significant change in the vital capacity of the control group compared with that before treatment (P > 0.05). The vital capacity of the trial group was higher than that of the control group (P < 0.05). (5) These results indicate that the combination of Instrument-Assisted Soft Tissue Mobilization and Physiotherapy Scoliosis Specific Exercises proved to be effective in reducing the axial trunk rotation angle of scoliosis, reducing back pain and increasing vital capacity, and controlling the development of the scoliosis curve in adolescent idiopathic scoliosis RigoA patients. [ABSTRACT FROM AUTHOR]

BACKGROUND: With the development of modern industry, modern national defense and modern medical rehabilitation industry, bionic design and manufacturing technology is booming. This technology often takes various organisms and their tissues as research objects, imitating their geometric shapes, mechanical properties and other indicators, and then achieves reverse design and manufacture of various synthetic products, in which the effective bionics of geometric shapes, especially surface modeling technology, is a key part of it. OBJECTIVE: Taking the human knee joint as an example, this paper discussed the practical application technology of surface modeling, and established a digital model of the geometric anatomy of the human knee joint. It provided support for the research on the biomechanical properties of the knee joint, and at the same time provided an effective teaching and research model for the complex surface modeling of the bionic mechanism. METHODS: Using knee CT scan images and magnetic resonance imaging images, the point cloud data and approximation curves of bone tissue and soft tissue contours were obtained through medical image processing technology, respectively, and the knee joint entity models of bone tissue and soft tissue were reconstructed respectively. Finally, based on the 3D image registration technology, each soft tissue group was assembled on the bone tissue entity model to form the overall knee joint 3D model. RESULTS AND CONCLUSION: Through 3D medical imaging technology, a digital anatomical digital model of knee joint with complex geometric surfaces including various bone tissues and ligaments, meniscus, tendons and other major soft tissues was constructed. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Chinese Mass Spectrometry Society is the property of Journal of Chinese Mass Spectrometry Society 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: Research on movement process, data, and mechanism of the knee joint is helpful to design and modify a knee joint prosthesis, and improve the knee joint movement function according to its movement characteristics and biomechanical characteristics, so as to avoid sports injuries, improve sports performance and prolong sports life. The movement data of the knee joint are the basis for studying its mechanical properties. OBJECTIVE: According to the three-dimensional geometric model of the knee joint, to determine the movement data of the tibiofemoral joint and the patellofemoral joint at different flexion angles, thereby providing a new approach and reference for the kinematic analysis of complex spatial mechanisms such as robots and for the mechanical analysis and design of artificial prostheses. METHODS: First, the three-dimensional point cloud of the knee joint at 0°-120° static knee flexion was captured using computed tomography. Secondly, the combination of three-dimensional image registration and coordinate transformation was proposed to accurately analyze the relative motion of the knee joint. Three-dimensional images of the knee joint (including the femur, tibia, patella) in different flexion positions and their coordinates were presented in the same coordinate system. The orthogonal coordinate system of each bone tissue of the knee joint was then established. The movement of the knee joint was studied based on coordinate transformation using the Z-Y-X Euler angle method around the motion coordinate system. RESULTS AND CONCLUSION: (1)The motion data of the tibiofemoral and patellofemoral joints with 0°-120° of knee flexion were obtained in the five degrees of freedom, which offers a support for studying the mechanical properties of the knee joint and prosthetic design. This method could be used for the motion analysis of kinematics pairs under complex kinematics in mechanism. (2)To conclude, this method is proposed based on multi-static discrete medical images for kinematic measurement and analysis in human body. It can be conducted based on existing computed tomography scanning equipment and existing software, which has low cost and is easily understood. Moreover, this method is characterized by high measurement accuracy and the accuracy error is less than 1 mm. [ABSTRACT FROM AUTHOR]

Copyright of Garden Construction & Urban Planning 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 Journal of Agro-Environment Science is the property of Journal of Agro-Environment Science Editorial Board 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.)

At present, most emergence data is multi-source heterogeneous spatial data, and exists some problems such as uneven data quality, inconsistent semantic model, unclear mathematical foundation and resolution. After studying various spatial data structures, this paper proposes a proper general metadata model for high-level structure and pattern matching, and establishes a spatial data concept enhancement paradigm to perform research on singleobjective feature measurement, relation detection between objects, group object importance ranking, group object cluster analysis, group object structure relationship identification. And the disaster information is extracted and modeled using ontology to form the data enhancement agent. The experiment results show that this agent can mine disaster hidden information, improve early warning efficiency, and enhance the concept of visual spatial data. [ABSTRACT FROM AUTHOR]

Objective: Earthquake occurred frequently in China. More knowledge needs to be discovered to take timely emergency actions to mitigate earthquake damage. Thus the construction method of knowledge discovery model for earthquake emergency is one of the core research issues in earthquake emergency field. It is worth studying how to realize knowledge discovery for earthquake emergency from abundant and complicated data under less support of prior knowledge. Methods: We put forward a kind of text big data based knowledge discovery model for earthquake emergency. First, text data associated with earthquake emergency is collected, including both academic document data (CNKI(China national knowledge infrastructure) data) sets and social media data sets(Weibo data). Then CiteSpace tool and formal concept analysis method are utilized to extract the high-frequency keywords and their linkages, the linkages’ frequency between keywords as linkage strength, a complex network of earthquake emergency knowledge is established for community classification. After community dividing, several big communities can be divided from the former established complex network. Results: From big communities’ further analysis : (1) in seismic resistance design domain, the discovered knowledge has high coherence with expert knowledge; (2) in earthquake rescue domain, the discovered knowledge shows that China Earthquake Administration have responsibility to afford emergency information services as well as public opinion guiding; (3)in geological hazards domain, the discovered knowledge founds the vegetation restoration in geological disaster area should be paid more attention; (4) the knowledge discovered from academic document data and social media data can be complementary. Conclusions: The experiment result shows that the model can find relevant knowledge, especially those experts rarely concern. [ABSTRACT FROM AUTHOR]

Copyright of Environmental Science & Technology (10036504) is the property of Editorial Board of Environmental 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 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.)

Copyright of Journal of Jilin University (Science Edition) / Jilin Daxue Xuebao (Lixue Ban) is the property of Zhongguo Xue shu qi Kan (Guang Pan Ban) Dian zi Za zhi She 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 Telecommunication Engineering is the property of Telecommunication Engineering 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 Experimental Technology & Management is the property of Experimental Technology & Management 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 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.)