Network dynamics of coupled Chua circuits: comparison of different coupling elements

The dynamics of coupled chaotic circuits have particular importance in many applications. The Chua circuit is a well-known chaotic circuit that has been applied in various studies. In this paper, we investigate the network of Chua circuits in different coupling schemes. We consider three cases where the circuits are coupled through resistors, memristors, and inductors. The synchronization behavior of the network is examined for each case. It is observed that the nonstationary chimera is formed in coupled circuits in all coupling schemes. Complete synchronization can be achieved only in resistive coupling. In memristive coupled circuits, increasing the coupling strength leads to the instability of the network, while in the inductor coupling, the synchronization appears only among two variables, and the third variable cannot be synchronized

Whole-Genome Analysis of an Extensive Drug-Resistant Acinetobacter Baumannii ST195 Isolate from a Recipient After DCD Renal Transplantation in China

Background/Aims: Infection with Acinetobacter baumannii was emerging as one of the leading causes of mortality after donation after cardiac death transpalantion. Methods: We reported a case of a recipient who underwent DCD renal transplantation and later got infected by A.baumannii. Etests were done to verify the susceptibility test results in clinic. Whole-genome analysis was applied to investigate the resistant mechanism at gene level. Results: The pathogen was isolated from his draining liquid the day after the surgery, and susceptibility test reavealed that it was sensitive to tigecycline. However, the isolate obtained from the draining liquid became tigecycline-resistant after fifteen-day administration of tigecycline. The Susceptibility tests showed that the pathogen recovered from tigecycline resistance and became intermediated to tigecycline. Whole-Genome analysis revealed the genetic level change leading to tigecycline resistance and we identified the location of mutation by comparing the whole genome sequence of the isolates. Three loci were figured out which may contribute to drug resistance, including genes encoding HTH domain protein, MFS transporter and AdeS. Conclusion: Understanding the genetic characteristics associated with drug resistance mechanism and antimicrobial profiles of pathogen is important in controlling infection outbreak and preventing serious complications and gives a new insight into the development of antimicrobial agents