Dominant phase-advanced driving analysis of self-sustained oscillations in biological networks
Zhi-gang Zheng(郑志刚)1,2, Yu Qian(钱郁)3
1 Institute of Systems Science, Huaqiao University, Xiamen 361021, China;
2 College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China;
3 Nonlinear Research Institute, Baoji University of Arts and Sciences, Baoji 721007, China
Oscillatory behaviors can be ubiquitously observed in various systems. Biological rhythms are significant in governing living activities of all units. The emergence of biological rhythms is the consequence of large numbers of units. In this paper we discuss several important examples of sustained oscillations in biological media, where the unit composed in the system does not possess the oscillation behavior. The dominant phase-advanced driving method is applied to study the skeletons and oscillatory organizing motifs in excitable networks and gene regulatory networks.
Project supported by the National Natural Science Foundation of China (Grant Nos. 11475022 and 11675001) and the Scientific Research Funds of Huaqiao University, China (Grant No. 15BS401).
Characteristics of vapor based on complex networks in China Ai-Xia Feng(冯爱霞), Qi-Guang Wang(王启光), Shi-Xuan Zhang(张世轩), Takeshi Enomoto(榎本刚), Zhi-Qiang Gong(龚志强), Ying-Ying Hu(胡莹莹), and Guo-Lin Feng(封国林). Chin. Phys. B, 2022, 31(4): 049201.
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.