[Objectives] To systematically study the main active components of Fufang Changtai(FFCT) in the treatment of colorectal cancer(CRC), and to explore its mechanism of action. [Methods] The main chemical components of FF...[Objectives] To systematically study the main active components of Fufang Changtai(FFCT) in the treatment of colorectal cancer(CRC), and to explore its mechanism of action. [Methods] The main chemical components of FFCT were analyzed by ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS) combined with automatic analysis platform, and the main pharmacodynamic substances of FFCT were studied by network pharmacology method and its mechanism of action was explored. The binding degree between the active components and the core targets were verified by molecular docking technology. [Results] A total of 86 compounds were identified from FFCT, among which 26 compounds were Ginsenoside Rg3, Ginsenoside Rb1, Astragaloside III, etc. The key target pathway enrichment analysis showed that FFCT played its role in the treatment of CRC mainly through the PI3K-Akt signaling pathway and MAPK signaling pathway. [Conclusions] This study comprehensively identified the FFCT components. Supplemented by network pharmacology and molecular docking technology, it is expected to provide a scientific theoretical basis and an important reference for FFCT therapeutic components identification, key target verification and mechanism of action in the treatment of CRC.展开更多
Device-assisted practice for instrument learning has been widely used by professional and amateur musicians to improve their learning efficiency.This study fabricates a novel self-powered and flexible player-interacti...Device-assisted practice for instrument learning has been widely used by professional and amateur musicians to improve their learning efficiency.This study fabricates a novel self-powered and flexible player-interactive patch for guitar-learning assistance based on a piezoelectric T-ZnO/PVDF film.The system consists primarily of three parts:a flexible piezoelectric T-ZnO/PVDF film for pressure sensing,a signal processing module for analyzing the sensed signal,and light-emitting diode(LED)indicators for visualizing guitar performance.The sensing film can be conformably fixed on a guitar and can convert the mechanical energy generated by pressing a finger on a string into a piezoelectric signal without any external power supply.The output voltage of the film can act as a sensing signal for guitar performance,and both the response and recovery times are short.As fingers press on different strings,a series of piezoelectric signals are generated and transferred to the signal processing module,subsequently lighting up LEDs of different colors.The actions of the fingers during guitar playing are reflected by the corresponding LED indicators.The proposed system can help players adjust their posture and rhythm in real time,thus improving their playing technique.This study demonstrates the potential application of self-powered sensing systems in musical instrument learning assistance.展开更多
基金Supported by Key Project of National Clinical Research Base of Traditional Chinese Medicine (JD2022SZXZD01)Open Project of Jiangsu Health Development Research Center (JSHD2021014&JSHD2021040)+1 种基金National Natural Science Foundation of China (81573620)Jiangsu Province Six Talent Summit Innovation Team Funding Project (SWYY-CXTD-004)。
文摘[Objectives] To systematically study the main active components of Fufang Changtai(FFCT) in the treatment of colorectal cancer(CRC), and to explore its mechanism of action. [Methods] The main chemical components of FFCT were analyzed by ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS) combined with automatic analysis platform, and the main pharmacodynamic substances of FFCT were studied by network pharmacology method and its mechanism of action was explored. The binding degree between the active components and the core targets were verified by molecular docking technology. [Results] A total of 86 compounds were identified from FFCT, among which 26 compounds were Ginsenoside Rg3, Ginsenoside Rb1, Astragaloside III, etc. The key target pathway enrichment analysis showed that FFCT played its role in the treatment of CRC mainly through the PI3K-Akt signaling pathway and MAPK signaling pathway. [Conclusions] This study comprehensively identified the FFCT components. Supplemented by network pharmacology and molecular docking technology, it is expected to provide a scientific theoretical basis and an important reference for FFCT therapeutic components identification, key target verification and mechanism of action in the treatment of CRC.
基金supported by the National Natural Science Foundation of China(Grant No.11674048)Sichuan Science and Technology Program(Grant Nos.2020JDJQ0026 and 2021YFG0140).
文摘Device-assisted practice for instrument learning has been widely used by professional and amateur musicians to improve their learning efficiency.This study fabricates a novel self-powered and flexible player-interactive patch for guitar-learning assistance based on a piezoelectric T-ZnO/PVDF film.The system consists primarily of three parts:a flexible piezoelectric T-ZnO/PVDF film for pressure sensing,a signal processing module for analyzing the sensed signal,and light-emitting diode(LED)indicators for visualizing guitar performance.The sensing film can be conformably fixed on a guitar and can convert the mechanical energy generated by pressing a finger on a string into a piezoelectric signal without any external power supply.The output voltage of the film can act as a sensing signal for guitar performance,and both the response and recovery times are short.As fingers press on different strings,a series of piezoelectric signals are generated and transferred to the signal processing module,subsequently lighting up LEDs of different colors.The actions of the fingers during guitar playing are reflected by the corresponding LED indicators.The proposed system can help players adjust their posture and rhythm in real time,thus improving their playing technique.This study demonstrates the potential application of self-powered sensing systems in musical instrument learning assistance.
