The quantitative effects of chromium content on continuous cooling transformation (CCT) diagrams of novel air-cooled bainite steels were analyzed using artificial neural network models. The results showed that the c...The quantitative effects of chromium content on continuous cooling transformation (CCT) diagrams of novel air-cooled bainite steels were analyzed using artificial neural network models. The results showed that the chromium may retard the high and medium-temperature martensite transformation.展开更多
Background:Studies have shown that,Shengmai injection(Shengmai decoction)which has been included in the diagnosis and treatment of coronavirus disease 2019(COVID-19),is effective in the early treatment of patients wit...Background:Studies have shown that,Shengmai injection(Shengmai decoction)which has been included in the diagnosis and treatment of coronavirus disease 2019(COVID-19),is effective in the early treatment of patients with severe COVID-19.However,the mechanism of its intervention in severe stage of COVID-19 at molecular level is still unclear.Therefore,it is necessary to further explore the mechanism of Shengmai decoction in the treatment of patients with severe COVID-19 based on network pharmacology.Methods:The Traditional Chinese Medicine Systems Pharmacology,BATMAN,UniProt databases and the published literatures which contain the reported compounds that have therapeutic effects on COVID-19 were used to screen out the active ingredients and targets of Shengmai decoction,and the“drug-active compound-target”network was constructed.The GeneCards database was used to screen out the targets of COVID-19.The protein-protein interaction network map was constructed by mapping two genes,and the network of active ingredients,targets and disease was constructed using Cytoscape software.Thereafter,Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses of the key targets were performed using the Metascape Site Maintenance website and David databases.The Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes pathway enrichment of the mapping targets were analyzed.Results:The active component-target network contained 73 main compounds and 457 targets.The first five main active components(hydroquinone,guanosine,ophiopogon C,ophiopogon B,ophiopogon D)were obtained by topological analysis of 33 common targets.Using the Matthews correlation coefficient algorithm,the key targets included albumin,tumor necrosis factor,and cyclic adenosine response element binding.Compounds in Shengmai decoction were found to have good binding effect and strong interaction with caspase-8,caspase-3,apoptosis regulator Bcl-2,tumor necrosis factor,C-C motif chemokine 3,to inhibit the inflammatory response and improve lung injury.Additionally,31 biological processes were obtained by Gene Ontology enrichment,mainly related to lipopolysaccharide response and cytokine-mediated signal pathways,and 71 biological processes were obtained by Kyoto Encyclopedia of Genes and Genomes enrichment,mainly related to pulmonary tuberculosis,hepatitis B,and mitogen-activated protein kinase signal pathways.Conclusion:Shengmai decoction has multicomponent,multitarget and multichannel characteristics,which can provide an important theoretical basis to treat patients with severe COVID-19.展开更多
The quantitative effect of Ni content on continuous cooling transformation (CCT) diagrams of novel air-cooled bainite steels was analyzed using artificial neural network models. The results showed that Ni may retard...The quantitative effect of Ni content on continuous cooling transformation (CCT) diagrams of novel air-cooled bainite steels was analyzed using artificial neural network models. The results showed that Ni may retard the high- and medium-temperature transformation and martensite transformation. The results conform to the materials science theories.展开更多
Background:Shengmai decoction,which has been included in the diagnosis and treatment of coronavirus disease 2019(COVID-19),is effective in the early treatment of patients with severe COVID-19.Yiqi Fumai lyophilized in...Background:Shengmai decoction,which has been included in the diagnosis and treatment of coronavirus disease 2019(COVID-19),is effective in the early treatment of patients with severe COVID-19.Yiqi Fumai lyophilized injection(YQFM)is a modern Chinese medicine preparation of the Shengmai decoction.The mechanism of its intervention at the molecular level in the severe stage of COVID-19 remains unclear.Therefore,it is necessary to investigate the mechanism of YQFM in the treatment of patients with severe COVID-19.Methods:The corresponding target genes of the main active ingredients in YQFM and COVID-19 were obtained by using multiple databases and literature retrieval.A protein-protein interaction network was constructed,and enrichment analysis of the target was performed using Cytoscape 3.8.1.Lastly,the docking of all the identified compounds with angiotensin-converting enzyme II was confirmed by applying molecular docking technology.Results:YQFM has anti-inflammatory effects on RAW267.4 macrophages.The main active compounds of YQFM are all effective anti-inflammatory agents,and these active compounds also show beneficial physiological functions,such as anti-oxidation,anti-bacterial,and anticancer activities.Gene Ontology analysis showed enrichment in the following pathways:lipopolysaccharides,interleukins,NF-kappa B,interleukin-2 and others,revealing that YQFM may play a role in the treatment of patients with severe COVID-19 through these pathways.Conclusion:YQFM has multicomponent and multitarget characteristics,and it could reduce lung injury by inhibiting inflammatory reactions,promoting antiviral activities,and regulating immunity,among other functions,to treat patients with severe COVID-19.展开更多
Routing is the cornerstone of network architecture, and a new routing mechanism is a requisite for constructing new network architecture. The current routing mechanism of the Internet layer is basically the single nex...Routing is the cornerstone of network architecture, and a new routing mechanism is a requisite for constructing new network architecture. The current routing mechanism of the Internet layer is basically the single next-hop routing mechanism, which is the root of transmission congestion in the network. To solve this congestion problem, a fundamental measure is to change the route selection mode of current routing mechanism to allow parallel transmission over multiple routes. Currently, Border Gateway Protocol (BGP) is the only inter-domain routing protocol used in the Internet, but the routing system using BGP suffers scalability problem. To solve the scalability issue of the current inter-domain routing system, a new hierarchical routing system, i.e. Scalable Inter-Domain Routing Architecture (s-idra), is suggested. In addition to scalability, the current routing system is facing other challenges including security, Quality of Service (QoS), multicasting, mobility and dynamic network topology. Therefore, the research on routing protocols, especially the protocol for the new network architecture, is still a tough task and has a long way to go.展开更多
1. IntroductionA large number of networks for realizing first and second order transfer functions using a currentconveyor have been reported in the literature. Especially, the networks that can offer highinput impedan...1. IntroductionA large number of networks for realizing first and second order transfer functions using a currentconveyor have been reported in the literature. Especially, the networks that can offer highinput impedance attract attention, for high input impedance has the advantage that the networksmay be used in cascade without requiring impedance matching device. In the Higashimura and展开更多
文摘The quantitative effects of chromium content on continuous cooling transformation (CCT) diagrams of novel air-cooled bainite steels were analyzed using artificial neural network models. The results showed that the chromium may retard the high and medium-temperature martensite transformation.
基金the Ph.D.Start-up Fund of Guangdong Medical University(No.B2019016)the Administration of Traditional Chinese Medicine of Guangdong Province(No.20201180)+4 种基金the Science and Technology Special Project of Zhanjiang(No.2019A01009)the Natural Science Foundation of Guangdong Province(No.2016B030309002)the Basic and Applied Basic Research Program of Guangdong Province(No.2019A1515110201)the Educational Commission of Guangdong Province(No.4SG20138G)the Fund of Southern Marine Science and Engineering Guangdong Laboratory(Zhanjiang)(No.ZJW-2019-007).
文摘Background:Studies have shown that,Shengmai injection(Shengmai decoction)which has been included in the diagnosis and treatment of coronavirus disease 2019(COVID-19),is effective in the early treatment of patients with severe COVID-19.However,the mechanism of its intervention in severe stage of COVID-19 at molecular level is still unclear.Therefore,it is necessary to further explore the mechanism of Shengmai decoction in the treatment of patients with severe COVID-19 based on network pharmacology.Methods:The Traditional Chinese Medicine Systems Pharmacology,BATMAN,UniProt databases and the published literatures which contain the reported compounds that have therapeutic effects on COVID-19 were used to screen out the active ingredients and targets of Shengmai decoction,and the“drug-active compound-target”network was constructed.The GeneCards database was used to screen out the targets of COVID-19.The protein-protein interaction network map was constructed by mapping two genes,and the network of active ingredients,targets and disease was constructed using Cytoscape software.Thereafter,Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses of the key targets were performed using the Metascape Site Maintenance website and David databases.The Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes pathway enrichment of the mapping targets were analyzed.Results:The active component-target network contained 73 main compounds and 457 targets.The first five main active components(hydroquinone,guanosine,ophiopogon C,ophiopogon B,ophiopogon D)were obtained by topological analysis of 33 common targets.Using the Matthews correlation coefficient algorithm,the key targets included albumin,tumor necrosis factor,and cyclic adenosine response element binding.Compounds in Shengmai decoction were found to have good binding effect and strong interaction with caspase-8,caspase-3,apoptosis regulator Bcl-2,tumor necrosis factor,C-C motif chemokine 3,to inhibit the inflammatory response and improve lung injury.Additionally,31 biological processes were obtained by Gene Ontology enrichment,mainly related to lipopolysaccharide response and cytokine-mediated signal pathways,and 71 biological processes were obtained by Kyoto Encyclopedia of Genes and Genomes enrichment,mainly related to pulmonary tuberculosis,hepatitis B,and mitogen-activated protein kinase signal pathways.Conclusion:Shengmai decoction has multicomponent,multitarget and multichannel characteristics,which can provide an important theoretical basis to treat patients with severe COVID-19.
文摘The quantitative effect of Ni content on continuous cooling transformation (CCT) diagrams of novel air-cooled bainite steels was analyzed using artificial neural network models. The results showed that Ni may retard the high- and medium-temperature transformation and martensite transformation. The results conform to the materials science theories.
基金National Natural Science Foundation of China(No.81673535)the Science and Technology Project of Tianjin(No.18ZXXYSY00080).
文摘Background:Shengmai decoction,which has been included in the diagnosis and treatment of coronavirus disease 2019(COVID-19),is effective in the early treatment of patients with severe COVID-19.Yiqi Fumai lyophilized injection(YQFM)is a modern Chinese medicine preparation of the Shengmai decoction.The mechanism of its intervention at the molecular level in the severe stage of COVID-19 remains unclear.Therefore,it is necessary to investigate the mechanism of YQFM in the treatment of patients with severe COVID-19.Methods:The corresponding target genes of the main active ingredients in YQFM and COVID-19 were obtained by using multiple databases and literature retrieval.A protein-protein interaction network was constructed,and enrichment analysis of the target was performed using Cytoscape 3.8.1.Lastly,the docking of all the identified compounds with angiotensin-converting enzyme II was confirmed by applying molecular docking technology.Results:YQFM has anti-inflammatory effects on RAW267.4 macrophages.The main active compounds of YQFM are all effective anti-inflammatory agents,and these active compounds also show beneficial physiological functions,such as anti-oxidation,anti-bacterial,and anticancer activities.Gene Ontology analysis showed enrichment in the following pathways:lipopolysaccharides,interleukins,NF-kappa B,interleukin-2 and others,revealing that YQFM may play a role in the treatment of patients with severe COVID-19 through these pathways.Conclusion:YQFM has multicomponent and multitarget characteristics,and it could reduce lung injury by inhibiting inflammatory reactions,promoting antiviral activities,and regulating immunity,among other functions,to treat patients with severe COVID-19.
基金the National BasicResearch Program of China ("973" Program)under Grant 2007CB307102the National HighTechnology Research and Development Programof China ("863" Program) under Grant2007AA01Z212.
文摘Routing is the cornerstone of network architecture, and a new routing mechanism is a requisite for constructing new network architecture. The current routing mechanism of the Internet layer is basically the single next-hop routing mechanism, which is the root of transmission congestion in the network. To solve this congestion problem, a fundamental measure is to change the route selection mode of current routing mechanism to allow parallel transmission over multiple routes. Currently, Border Gateway Protocol (BGP) is the only inter-domain routing protocol used in the Internet, but the routing system using BGP suffers scalability problem. To solve the scalability issue of the current inter-domain routing system, a new hierarchical routing system, i.e. Scalable Inter-Domain Routing Architecture (s-idra), is suggested. In addition to scalability, the current routing system is facing other challenges including security, Quality of Service (QoS), multicasting, mobility and dynamic network topology. Therefore, the research on routing protocols, especially the protocol for the new network architecture, is still a tough task and has a long way to go.
文摘1. IntroductionA large number of networks for realizing first and second order transfer functions using a currentconveyor have been reported in the literature. Especially, the networks that can offer highinput impedance attract attention, for high input impedance has the advantage that the networksmay be used in cascade without requiring impedance matching device. In the Higashimura and