Zhiqiang Hu¹, Zheng Ma¹, Jun Shi¹, Zhipeng Li¹, Xun Shao^1,2, Yangzhao Yang^1,*, Yong Liao¹, Zhenyuan Gao¹, Jie Zhang¹

Journal of Quantum Computing, Vol.4, No.1, pp. 13-22, 2022, DOI:10.32604/jqc.2022.026785

Abstract The extraction of entity relationship triples is very important to build a knowledge graph (KG), meanwhile, various entity relationship extraction algorithms are mostly based on data-driven, especially for the current popular deep learning algorithms. Therefore, obtaining a large number of accurate triples is the key to build a good KG as well as train a good entity relationship extraction algorithm. Because of business requirements, this KG’s application field is determined and the experts’ opinions also must be satisfied. Considering these factors we adopt the top-down method which refers to determining the data schema firstly, then filling the specific data according… More >

Tak-Sing Wong^*, Branden Brough^†, Chih-Ming Ho^∗,‡

Molecular & Cellular Biomechanics, Vol.6, No.1, pp. 1-56, 2009, DOI:10.3970/mcb.2009.006.001

Abstract Mimicking nature's approach in creating devices with similar functional complexity is one of the ultimate goals of scientists and engineers. The remarkable elegance of these naturally evolved structures originates from bottom-up self-assembly processes. The seamless integration of top-down fabrication and bottom-up synthesis is the challenge for achieving intricate artificial systems. In this paper, technologies necessary for guided bottom-up assembly such as molecular manipulation, molecular binding, and the self assembling of molecules will be reviewed. In addition, the current progress of synthesizing mechanical devices through top-down and bottom-up approaches will be discussed. More >