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Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research 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 Chinese Journal of Clinical Healthcare is the property of Chinese Journal of Clinical Healthcare 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.)

Most of the existing multi-label learning techniques consider the correlation learning problem but ignore the inconsistency feature of structural properties, which can change the structural property of the label space obtained by function mapping and it can directly affect the classification performance. In order to deal with this problem, this paper proposed a multi-label classification algorithm based on structural property preserving policy and correlation learning policies. Firstly, the algorithm constructed a mapping function to realize the mapping between the feature space and the label space. Secondly, it used structural property preserving strategy based on feature data to reduce the difference between feature data caused by linear transformation. Finally, this paper introduced the correlation learning strategy based on label data to further optimize the parameters of the proposed algorithm to improve the classification performance. The experimental results through a group of benchmark instances show that compared with the other classical multi-label classification algorithm, the proposed algorithm is much superior in classification performance, and the algorithm has great effectiveness. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research 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 Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research 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 Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research 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.)

Practical teaching is an important part of higher education in China, so the effects of practical teaching directly affect the quality of higher education especially in the process of engineering education accreditation. Based on the perspective of thinking, the paper introduces the computational thinking, engineering thinking and design thinking into the practical teaching system for major of computer,and constructs a new practical teaching system with aim of cultivation of computational thinking as the base, the cultivation of engineering thinking as the core and the design thinking as the goal. The teaching system cultivates the ability of building practical models using computer knowledge,and design algorithm for solving practical problems based on computational thinking. The teaching system can train the ability of students to solve practical engineering problems based on engineering thinking; The teaching system can also cultivate the ability of innovation by design thinking. Teaching practice shown that the practice teaching system integrating into multiple thinking has a positive effect on cultivating students’ thinking way,and improves students’ ability to solve problems and innovation. [ABSTRACT FROM AUTHOR]

For the problems in practical teaching, aiming at cultivating the ability for solving the practical engineering problems, and also the innovation & entrepreneurship ability, the paper constructs three-dimensional and three levels laddered practical teaching system, in which the three dimensions include school, enterprises and government, three levels include basic ability training, innovation ability training and entrepreneurship cultivation. Through the school-enterprise cooperation, enterprise engineers and enterprise projects are introduced into the practical teaching to cultivate the ability for solving the practical engineering problems; The innovation ability is cultivated mainly through the competitions and innovative training projects and so on; The maker space is used as the primary supporter to guide and help the students to start a business. By introducing the concept of OBE into practical teaching, the study aims to realize the conversions in practical teaching, namely, conversion from teacher-centered to student-centered; from knowledge-oriented to target-oriented and from single quality supervision to multiple evaluation. [ABSTRACT FROM AUTHOR]

Based on the classical FSS problem, this paper proposed a new mixed constraints FSS(MFSS) problem with no-wait constraint, blocking constraints and limited buffers constraint. To minimize makespan of MFSS, this paper designed an iterated greedy (IG) algorithm. The algorithm used the improved NEH algorithm to get the initial solution, and then applied IG algorithm to optimize globally. And it devised the multipoint crossing operator and neighborhood insert search strategy to improve the quality of solution. An classical experiment validates the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR]