The polymerase acidic protein is an important family of proteins from influenza A virus, which is classified as many different subtypes or spe-cies. Thus, an important question is if these classifications are numerica...The polymerase acidic protein is an important family of proteins from influenza A virus, which is classified as many different subtypes or spe-cies. Thus, an important question is if these classifications are numerically distinguishable with respect to the polymerase acidic protein. The amino-acid pair predictability was used to transfer 2432 polymerase acidic proteins into 2432 scalar data. The one-way ANOVA found these polymerase acidic proteins distinguish-able in terms of subtypes and species. However, the large residuals in ANOVA suggested a pos-sible large intra-subtype/species variation. Therefore, the inter- and intra-subtype/species variations were studied using the model II ANOVA. The results showed that the in-tra-subtype/species variations accounted most of variation, which was 100% in total for both inter- and intra- subtype/species variations. Our analysis threw lights on the issue of how to de-termine a wide variety of patterns of antigenic variation across space and time, and within and between subtypes as well as hosts.展开更多
The mutation pattern in protein is a very important feature and is studied through various approaches including the study on mutation pattern in domains where amino acids are converted into numbers from letters. In th...The mutation pattern in protein is a very important feature and is studied through various approaches including the study on mutation pattern in domains where amino acids are converted into numbers from letters. In this study, we converted the amino acids in human adrenoleukodystrophy protein with its 128 missense mutations into random domain using the amino-acid pair predictability, and then we studied their mutation patterns. The results show 1) the mutations are more likely to target the amino-acid pairs whose actual frequency is larger than their predicted one, 2) the mutations are more likely to form the amino-acid pairs whose actual frequency is smaller than their predicted frequency, 3) mutations are more likely to occur at unpredictable amino-acid pairs, and 4) mutations have the trend to narrow the difference between predicted and actual frequencies of amino-acid pairs.展开更多
[Objective] The research aimed to study the application of ordinal set pair analysis in the annual precipitation prediction of Liao River basin.[Method] The ordinal theory was introduced into the set pair analysis mod...[Objective] The research aimed to study the application of ordinal set pair analysis in the annual precipitation prediction of Liao River basin.[Method] The ordinal theory was introduced into the set pair analysis modeling,and the prediction model of set pair analysis was improved.A kind of rainfall prediction model based on the ordinal set pair analysis (OSPA) was put forward.The time sequence of annual rainfall in the hydrological rainfall station of Liao River basin during 1956-2006 was the research objective.The annual rainfall during 1998-2006 was predicted by the model,and the error analysis was given.[Result] In the relative errors of predicted results by ordinal set pair analysis,there were six relative errors within 5%,which occupied 66.7% of the total prediction number.One relative error was during 5%-10%,which occupied 11.1% of the total prediction number.Two relative errors were during 10%-15%,which occupied 22.2% of the total prediction number.All the relative errors were less than 20%,which met the precision requirement of annual rainfall prediction in Forecast Specification of Hydrological Information.[Conclusion] The rainfall prediction based on the ordinal set pair analysis model had high precision,and the prediction result was ideal.It was suitable for the annual rainfall prediction.展开更多
Background:Explore the anti-tumor mechanism of herb pair Pinellia ternate-Magnolia officinalis(BX-HP)in liver cancer through network pharmacology using molecular docking methods.Method:The active ingredients and corre...Background:Explore the anti-tumor mechanism of herb pair Pinellia ternate-Magnolia officinalis(BX-HP)in liver cancer through network pharmacology using molecular docking methods.Method:The active ingredients and corresponding targets of the herb pair Pinellia ternate-Magnolia officinalis were obtained from the HERB database.The relevant targets for liver cancer were obtained from GeneCards,DisGeNET,TTD,and Drugbank databases.Obtain common targets between herb pair Pinellia ternate-Magnolia officinalis and liver cancer through the Bioinformatics platform,establish a PPI network diagram using STRING software,and perform GO functional enrichment and KEGG pathway enrichment analysis on the DAVID platform.AutoDockTools 1.5.7 software and molecular dynamics simulation analysis are used to evaluate the binding of components to target proteins.HERB database,SwissTargetPrediction database,SwissADME database,UniProt database,GeneCards database,TTD database,DRUGBANK database,DisGeNET database,String,DAVID.Bioinformatics platform,PDB database,PubChem and TCMSP database.Result:A total of 22 active ingredients with a Probability>0.1 targets in Magnolia officinalis were screened,26 active ingredients with a Probability>0.1 targets in Pinellia ternata,ten vital active ingredients,corresponding to 979 and 803 targets with a Probability>0.1 targets,2536 liver cancer-related targets,and 279 targets in the herb pair Pinellia ternata-Magnolia officinalis.The GO functional enrichment analysis resulted in 1297 entries,namely 971 biological process entries,118 cell localization entries,and 208 molecular function entries.Three signaling pathways were annotated through the KEGG pathway.Based on molecular docking,ten vital active ingredients and five target proteins were validated to exhibit an excellent binding affinity.The above data indicates that combining the herb pair Pinellia ternata-Magnolia officinalis may treat liver cancer through specific targets and signaling pathways.Conclusion:Herb pair Pinellia ternata-Magnolia officinalis has a synergistic effect on treating liver cancer through multicomponent,multitarget,and multi-pathway approaches.This study provides a sufficient theoretical basis for subsequent research.展开更多
A novel dynamic model describing the slipper posture of the swash plate in axial piston pumps is proposed, taking into account the hydrodynamic and squeezing effects, which involves three degrees of freedom. The varia...A novel dynamic model describing the slipper posture of the swash plate in axial piston pumps is proposed, taking into account the hydrodynamic and squeezing effects, which involves three degrees of freedom. The variation in the lubricating film thickness and the slipper tilt are accurately calculated. The influence of hydrodynamic effects and charging pressure on the slipper lubrication is discussed. The minimum film thickness, the overturning angle and the azimuth angle are obtained.Then, the trajectory of minimum thickness on the friction surface of the swash plate is predicted, the accuracy of which can be verified with the abrasion distribution of an actual swash plate. Research results can predict the durability and provide theoretical help for the design of the slipper.展开更多
In this paper, an adaptive line spectral pair filter is derived from an adaptive lattice filter. A least-mean-square(LMS) type adaptive algorithm used to calculate directly the line spectral pair(LSP) coefficients on ...In this paper, an adaptive line spectral pair filter is derived from an adaptive lattice filter. A least-mean-square(LMS) type adaptive algorithm used to calculate directly the line spectral pair(LSP) coefficients on a stage-by-stage basis is presented. Experimental results show that the algorithm has higher convergence rate and lower misadjustment as compared with the other algorithms. The LSP coefficients calculated by the algorithm have been used to carry out speech linear predictive synthesis, resulting in better results than PARCOR coefficients.展开更多
Objective: To explore the molecular mechanism of Magnoliae Flos and Xanthii Fructus herb pair for allergic rhinitis based on network pharmacology. Methods: From the Traditional Chinese Medicine Systems Pharmacology da...Objective: To explore the molecular mechanism of Magnoliae Flos and Xanthii Fructus herb pair for allergic rhinitis based on network pharmacology. Methods: From the Traditional Chinese Medicine Systems Pharmacology database, Uniprot database, and Gene Cards database, the relevant chemical constituents information, pharmacokinetic information and hub target of allergic rhinitis were obtained. The protein-protein interaction network was constructed by STRING online database, analyzed and showed by the Cytoscape software. The screened target information was analyzed by the Metascape database for Gene Ontology biological function and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. Results: Main components of Magnoliae Flos and Xanthii Fructus herb pair, such as aloe-emodin, stigmasterol, beta-sitosterol and Yangambin, depend on the interaction of Nitric Oxide Synthase 3, Tumor Necrosis Factor, Caspase-3 and other functions involve G protein-coupled (amine) receptor activity, RNA polymerase II basic transcription factor binding, protease binding, heme binding, and integrin binding;can regulate calcium signal pathway, serotonergic synapse, Kyoto Encyclopedia of Genes and Genomes signal pathway, tryptophan inflammatory mediator regulation pathway, estrogen signal pathway alone or in combination, and play a role in the treatment of allergic rhinitis. Conclusion: Magnoliae Flos combined with Xanthii Fructus can regulate biomolecular network in multiple targets and pathways to treat allergic rhinitis.展开更多
对于多输入多输出系统,在控制系统设计时首先要对被控变量和操纵变量进行控制结构选择.Bristol提出的相关增益矩阵(Relative gain array,RGA)法,以及学者们后来提出的各种改进方法,都只适用于稳定系统.本文针对不稳定系统,基于多变量广...对于多输入多输出系统,在控制系统设计时首先要对被控变量和操纵变量进行控制结构选择.Bristol提出的相关增益矩阵(Relative gain array,RGA)法,以及学者们后来提出的各种改进方法,都只适用于稳定系统.本文针对不稳定系统,基于多变量广义预测控制(Generalized predictive control,GPC)的闭环控制律提出了一种控制结构的变量匹配准则.通过对预测时域、控制时域等各个参数的优化选择,使系统闭环稳定;由闭环控制律得到被控变量期望值与操纵变量的相关性矩阵,以此得出控制结构的变量配对方案.通过实例研究表明,对于开环不稳定系统,该方法可以得出正确的变量配对结果.展开更多
文摘The polymerase acidic protein is an important family of proteins from influenza A virus, which is classified as many different subtypes or spe-cies. Thus, an important question is if these classifications are numerically distinguishable with respect to the polymerase acidic protein. The amino-acid pair predictability was used to transfer 2432 polymerase acidic proteins into 2432 scalar data. The one-way ANOVA found these polymerase acidic proteins distinguish-able in terms of subtypes and species. However, the large residuals in ANOVA suggested a pos-sible large intra-subtype/species variation. Therefore, the inter- and intra-subtype/species variations were studied using the model II ANOVA. The results showed that the in-tra-subtype/species variations accounted most of variation, which was 100% in total for both inter- and intra- subtype/species variations. Our analysis threw lights on the issue of how to de-termine a wide variety of patterns of antigenic variation across space and time, and within and between subtypes as well as hosts.
文摘The mutation pattern in protein is a very important feature and is studied through various approaches including the study on mutation pattern in domains where amino acids are converted into numbers from letters. In this study, we converted the amino acids in human adrenoleukodystrophy protein with its 128 missense mutations into random domain using the amino-acid pair predictability, and then we studied their mutation patterns. The results show 1) the mutations are more likely to target the amino-acid pairs whose actual frequency is larger than their predicted one, 2) the mutations are more likely to form the amino-acid pairs whose actual frequency is smaller than their predicted frequency, 3) mutations are more likely to occur at unpredictable amino-acid pairs, and 4) mutations have the trend to narrow the difference between predicted and actual frequencies of amino-acid pairs.
基金Supported by National Eleventh Five-year Water Special Item(2009ZX07208-010-T004)High-level Talent Introduction Plan Item, North China University of Water Resources and Electric Power(200926)+2 种基金Natural Science Research of Henan Education Department(2009A570002)Young Core Teacher Plan Item in Henan Province(2009GGJ3-061)Graduate Education Innovation Plan Foundation,North China University of Water Resources and Electric Power(YK2010-12)
文摘[Objective] The research aimed to study the application of ordinal set pair analysis in the annual precipitation prediction of Liao River basin.[Method] The ordinal theory was introduced into the set pair analysis modeling,and the prediction model of set pair analysis was improved.A kind of rainfall prediction model based on the ordinal set pair analysis (OSPA) was put forward.The time sequence of annual rainfall in the hydrological rainfall station of Liao River basin during 1956-2006 was the research objective.The annual rainfall during 1998-2006 was predicted by the model,and the error analysis was given.[Result] In the relative errors of predicted results by ordinal set pair analysis,there were six relative errors within 5%,which occupied 66.7% of the total prediction number.One relative error was during 5%-10%,which occupied 11.1% of the total prediction number.Two relative errors were during 10%-15%,which occupied 22.2% of the total prediction number.All the relative errors were less than 20%,which met the precision requirement of annual rainfall prediction in Forecast Specification of Hydrological Information.[Conclusion] The rainfall prediction based on the ordinal set pair analysis model had high precision,and the prediction result was ideal.It was suitable for the annual rainfall prediction.
基金the National Natural Science Foundation of China(No.82204250)China Postdoctoral Science Foundation(No.2021M693961)+2 种基金Young and Middle-Aged Talent Project of Hubei Provincial Department of Education(No.Q20222808)Hubei University of Science and Technology Doctoral Startup Fund Project(No.BK202029)Outstanding Young and Middle-Aged Scientific and Technological Innovation Team in Colleges and Universities in Hubei Province(No.T2021022).
文摘Background:Explore the anti-tumor mechanism of herb pair Pinellia ternate-Magnolia officinalis(BX-HP)in liver cancer through network pharmacology using molecular docking methods.Method:The active ingredients and corresponding targets of the herb pair Pinellia ternate-Magnolia officinalis were obtained from the HERB database.The relevant targets for liver cancer were obtained from GeneCards,DisGeNET,TTD,and Drugbank databases.Obtain common targets between herb pair Pinellia ternate-Magnolia officinalis and liver cancer through the Bioinformatics platform,establish a PPI network diagram using STRING software,and perform GO functional enrichment and KEGG pathway enrichment analysis on the DAVID platform.AutoDockTools 1.5.7 software and molecular dynamics simulation analysis are used to evaluate the binding of components to target proteins.HERB database,SwissTargetPrediction database,SwissADME database,UniProt database,GeneCards database,TTD database,DRUGBANK database,DisGeNET database,String,DAVID.Bioinformatics platform,PDB database,PubChem and TCMSP database.Result:A total of 22 active ingredients with a Probability>0.1 targets in Magnolia officinalis were screened,26 active ingredients with a Probability>0.1 targets in Pinellia ternata,ten vital active ingredients,corresponding to 979 and 803 targets with a Probability>0.1 targets,2536 liver cancer-related targets,and 279 targets in the herb pair Pinellia ternata-Magnolia officinalis.The GO functional enrichment analysis resulted in 1297 entries,namely 971 biological process entries,118 cell localization entries,and 208 molecular function entries.Three signaling pathways were annotated through the KEGG pathway.Based on molecular docking,ten vital active ingredients and five target proteins were validated to exhibit an excellent binding affinity.The above data indicates that combining the herb pair Pinellia ternata-Magnolia officinalis may treat liver cancer through specific targets and signaling pathways.Conclusion:Herb pair Pinellia ternata-Magnolia officinalis has a synergistic effect on treating liver cancer through multicomponent,multitarget,and multi-pathway approaches.This study provides a sufficient theoretical basis for subsequent research.
基金Supported by the National Ministry Innovation Program of China(VTDP 3103)
文摘A novel dynamic model describing the slipper posture of the swash plate in axial piston pumps is proposed, taking into account the hydrodynamic and squeezing effects, which involves three degrees of freedom. The variation in the lubricating film thickness and the slipper tilt are accurately calculated. The influence of hydrodynamic effects and charging pressure on the slipper lubrication is discussed. The minimum film thickness, the overturning angle and the azimuth angle are obtained.Then, the trajectory of minimum thickness on the friction surface of the swash plate is predicted, the accuracy of which can be verified with the abrasion distribution of an actual swash plate. Research results can predict the durability and provide theoretical help for the design of the slipper.
文摘In this paper, an adaptive line spectral pair filter is derived from an adaptive lattice filter. A least-mean-square(LMS) type adaptive algorithm used to calculate directly the line spectral pair(LSP) coefficients on a stage-by-stage basis is presented. Experimental results show that the algorithm has higher convergence rate and lower misadjustment as compared with the other algorithms. The LSP coefficients calculated by the algorithm have been used to carry out speech linear predictive synthesis, resulting in better results than PARCOR coefficients.
基金This study was supported by the Discipline Innovation Team Construction Project of the Second Affiliated Hospital of Shaanxi University of Chinese Medicine(2020XKTD-A02).
文摘Objective: To explore the molecular mechanism of Magnoliae Flos and Xanthii Fructus herb pair for allergic rhinitis based on network pharmacology. Methods: From the Traditional Chinese Medicine Systems Pharmacology database, Uniprot database, and Gene Cards database, the relevant chemical constituents information, pharmacokinetic information and hub target of allergic rhinitis were obtained. The protein-protein interaction network was constructed by STRING online database, analyzed and showed by the Cytoscape software. The screened target information was analyzed by the Metascape database for Gene Ontology biological function and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. Results: Main components of Magnoliae Flos and Xanthii Fructus herb pair, such as aloe-emodin, stigmasterol, beta-sitosterol and Yangambin, depend on the interaction of Nitric Oxide Synthase 3, Tumor Necrosis Factor, Caspase-3 and other functions involve G protein-coupled (amine) receptor activity, RNA polymerase II basic transcription factor binding, protease binding, heme binding, and integrin binding;can regulate calcium signal pathway, serotonergic synapse, Kyoto Encyclopedia of Genes and Genomes signal pathway, tryptophan inflammatory mediator regulation pathway, estrogen signal pathway alone or in combination, and play a role in the treatment of allergic rhinitis. Conclusion: Magnoliae Flos combined with Xanthii Fructus can regulate biomolecular network in multiple targets and pathways to treat allergic rhinitis.
文摘对于多输入多输出系统,在控制系统设计时首先要对被控变量和操纵变量进行控制结构选择.Bristol提出的相关增益矩阵(Relative gain array,RGA)法,以及学者们后来提出的各种改进方法,都只适用于稳定系统.本文针对不稳定系统,基于多变量广义预测控制(Generalized predictive control,GPC)的闭环控制律提出了一种控制结构的变量匹配准则.通过对预测时域、控制时域等各个参数的优化选择,使系统闭环稳定;由闭环控制律得到被控变量期望值与操纵变量的相关性矩阵,以此得出控制结构的变量配对方案.通过实例研究表明,对于开环不稳定系统,该方法可以得出正确的变量配对结果.
