Finite time Synchronization of Inertial Memristive Neural Networks with Time Varying Delay

Finite time synchronization control of inertial memristor-based neural networks with varying delay is considered. In view of drive and response concept, the sufficient conditions to ensure finite time synchronization issue of inertial memristive neural networks is given. Based on Lyapunov finite time asymptotic theory, a kind of feedback controllers is designed for inertial memristorbased neural networks to realize the finite time synchronization. Based on Lyapunov stability theory, close loop error system can be proved finite time and fixed time stable. Finally, illustrative example is given to illustrate the effectiveness of theoretical results

synthesisandphotovoltaicpropertiesofpolythiopheneincorporatingwith34difluorothiopheneunits

Two polythiophene derivatives using fluorine atoms and hexyl or hexyloxy group as electron-withdrawing and donating substituents have been synthesized. The introduction of fluorine atoms to the polythiophene backbones simultaneously lowers the HOMO and narrows the bandgap, and the stronger electron-donating ability of hexyloxy side chain further reduces the bandgap. As a result, poly3-hexylthiophene-2,5-diyl-alt-3,4-difluorothiophene (PHTDFT) shows HOMO and bandgap of ?5.31/1.83 eV and poly3,4-dihexyloxythiophene-2,5-diyl-alt-3,4-difluorothiophene (PDHOTDFT) shows HOMO and bandgap of ?5.14/1.68 eV, both are lower than ?4.76/2.02 eV of P3HT. Benefiting from the lower HOMO, PHTDFT:PC_(61)BM (1:1) polymer solar cells obtain a power conversion efficiency of 1.11% and an impressed open-circuit voltage of 0.79 V under solar illumination AM1.5 (100 mW/cm~2)

Additional file 1 of Identifying hub genes of sepsis-associated and hepatic encephalopathies based on bioinformatic analysis—focus on the two common encephalopathies of septic cirrhotic patients in ICU

Additional file 1: Table S1. The genes list of Green and Turquoise modules