In industrial control systems,such as power transmission facilities and water treatment plants,Programmable Logic Controllers(PLCs)can work consistently and stably over long periods if there are no faults.Black-box id...In industrial control systems,such as power transmission facilities and water treatment plants,Programmable Logic Controllers(PLCs)can work consistently and stably over long periods if there are no faults.Black-box identification aims to automatically construct Petri net models with the help of I/O signals from PLC devices only.The main challenge is how to convert the infinitely long PLC signals into an event sequence,which is the foundation for subsequent modeling.The current algorithms are confronted with a number of challenges,including an exponential increase in the number of transitions,high time complexity,and susceptibility to noisy signals.To solve these problems,this paper proposes a new method for converting PLC signals into a transition sequence.The method is based on the principles of Boolean absorption law,which filters out noise information in the I/O signals.Then firing functions representing input–output causality are constructed from the filtered signals.Finally,the original signal sequence is traversed to generate a transition sequence.The experimental results show that these methods can rapidly identify a transition sequence.Compared to traditional methods,the proposed algorithms have polynomial time complexity.展开更多
Drug resistance is accountable for the inadequate outcome of chemotherapy in clinics.The newly emerging role of nitric oxide(NO)to conquer drug resistance has been recognized as a potential strategy.However,it remains...Drug resistance is accountable for the inadequate outcome of chemotherapy in clinics.The newly emerging role of nitric oxide(NO)to conquer drug resistance has been recognized as a potential strategy.However,it remains a great challenge to realize targeted delivery as well as accurate release of NO at desired sites.Herein,we developed a PEGylated indocyanine green(m PEG-ICG)integrated nanovesicle system(PIDA)to simultaneously load doxorubicin hydrochloride(DOX·HCl)and the NO donor L-arginine(L-Arg),which can produce NO triggered by NIR light irradiation and exert multimodal therapy to sensitize drug-resistant cancers.Upon 808 nm irradiation,the NO released from PIDA led to a decrease in mitochondrial membrane potential,an increase in ROS and significant ATP depletion in K562/ADR cells,thus inhibiting cell growth and resolving the problem of drug resistance.Consequently,the in vivo experiment on K562/ADR-bearing nude mice indicated that PIDA nanovesicles achieved significant anticancer efficacy with a tumor inhibition rate of 80.8%.Above all,PIDA nanovesicles offer guidance for designing nanoplatforms for drug-resistant cancer treatment.展开更多
基金supported by the Science and Technology Planning Project of Fujian Province,China,under Grant No.2024H0014(2024H01010100).
文摘In industrial control systems,such as power transmission facilities and water treatment plants,Programmable Logic Controllers(PLCs)can work consistently and stably over long periods if there are no faults.Black-box identification aims to automatically construct Petri net models with the help of I/O signals from PLC devices only.The main challenge is how to convert the infinitely long PLC signals into an event sequence,which is the foundation for subsequent modeling.The current algorithms are confronted with a number of challenges,including an exponential increase in the number of transitions,high time complexity,and susceptibility to noisy signals.To solve these problems,this paper proposes a new method for converting PLC signals into a transition sequence.The method is based on the principles of Boolean absorption law,which filters out noise information in the I/O signals.Then firing functions representing input–output causality are constructed from the filtered signals.Finally,the original signal sequence is traversed to generate a transition sequence.The experimental results show that these methods can rapidly identify a transition sequence.Compared to traditional methods,the proposed algorithms have polynomial time complexity.
基金financially supported by the National Natural Science Foundation of China(81673384)。
文摘Drug resistance is accountable for the inadequate outcome of chemotherapy in clinics.The newly emerging role of nitric oxide(NO)to conquer drug resistance has been recognized as a potential strategy.However,it remains a great challenge to realize targeted delivery as well as accurate release of NO at desired sites.Herein,we developed a PEGylated indocyanine green(m PEG-ICG)integrated nanovesicle system(PIDA)to simultaneously load doxorubicin hydrochloride(DOX·HCl)and the NO donor L-arginine(L-Arg),which can produce NO triggered by NIR light irradiation and exert multimodal therapy to sensitize drug-resistant cancers.Upon 808 nm irradiation,the NO released from PIDA led to a decrease in mitochondrial membrane potential,an increase in ROS and significant ATP depletion in K562/ADR cells,thus inhibiting cell growth and resolving the problem of drug resistance.Consequently,the in vivo experiment on K562/ADR-bearing nude mice indicated that PIDA nanovesicles achieved significant anticancer efficacy with a tumor inhibition rate of 80.8%.Above all,PIDA nanovesicles offer guidance for designing nanoplatforms for drug-resistant cancer treatment.
