AIM: To study the effect of Haimiding on the functioning of red cell membrane of FC and H22 tumor-bearing mice. METHODS: The membrane fluidity of red cells is measured with DPH fluorescence probe as a marker; the amou...AIM: To study the effect of Haimiding on the functioning of red cell membrane of FC and H22 tumor-bearing mice. METHODS: The membrane fluidity of red cells is measured with DPH fluorescence probe as a marker; the amount of red cell membrane proteins is measured using polyacrylamide gel electrophoresis; the amount of sialic acid (SA) on the surface of red cell membrane and the scalability of these cells are measured using colorimetric analysis. RESULTS: Haimiding can lower the membrane fluidity of red cells in tumor-bearing mice and the amount of their membrane proteins, while increasing the amount of sialic acid in the membrane of red cells in these mice and enhancing the ability of the membrane of their red cells to reseal. CONCLUSION: The anti-tumor effect of Haimiding on tumor-bearing mice is due to its ability to improve and restore the functions of the membrane of their red cell and to enhance the immune effect of the organisms.展开更多
Much research effort has been devoted to economic design of X ＆ S control charts,however,there are some problems in usual methods.On the one hand,it is difficult to estimate the relationship between costs and other m...Much research effort has been devoted to economic design of X ＆ S control charts,however,there are some problems in usual methods.On the one hand,it is difficult to estimate the relationship between costs and other model parameters,so the economic design method is often not effective in producing charts that can quickly detect small shifts before substantial losses occur;on the other hand,in many cases,only one type of process shift or only one pair of process shifts are taken into consideration,which may not correctly reflect the actual process conditions.To improve the behavior of economic design of control chart,a cost ＆ loss model with Taguchi＇s loss function for the economic design of X ＆ S control charts is embellished,which is regarded as an optimization problem with multiple statistical constraints.The optimization design is also carried out based on a number of combinations of process shifts collected from the field operation of the conventional control charts,thus more hidden information about the shift combinations is mined and employed to the optimization design of control charts.At the same time,an improved particle swarm optimization（IPSO） is developed to solve such an optimization problem in design of X ＆ S control charts,IPSO is first tested for several benchmark problems from the literature and evaluated with standard performance metrics.Experimental results show that the proposed algorithm has significant advantages on obtaining the optimal design parameters of the charts.The proposed method can substantially reduce the total cost（or loss） of the control charts,and it will be a promising tool for economic design of control charts.展开更多
In practice,the control charts for monitoring of process mean are based on the normality assumption.But the performance of the control charts is seriously affected if the process of quality characteristics departs fro...In practice,the control charts for monitoring of process mean are based on the normality assumption.But the performance of the control charts is seriously affected if the process of quality characteristics departs from normality.For such situations,we have modified the already existing control charts such as Shewhart control chart,exponentially weighted moving average(EWMA)control chart and hybrid exponentially weighted moving average(HEWMA)control chart by assuming that the distribution of underlying process follows Power function distribution(PFD).By considering the situation that the parameters of PFD are unknown,we estimate them by using three classical estimation methods,i.e.,percentile estimator(P.E),maximum likelihood estimator(MLE)and modified maximum likelihood estimator(MMLE).We construct Shewhart,EWMA and HEWMA control charts based on P.E,MLE and MMLE.We have compared all these control charts using Monte Carlo simulation studies and concluded that HEWMA control chart under MLE is more sensitive to detect an early shift in the shape parameter when the distribution of the underlying process follows power function distribution.展开更多
Tool condition monitoring(TCM)is a key technology for intelligent manufacturing.The objective is to monitor the tool operation status and detect tool breakage so that the tool can be changed in time to avoid significa...Tool condition monitoring(TCM)is a key technology for intelligent manufacturing.The objective is to monitor the tool operation status and detect tool breakage so that the tool can be changed in time to avoid significant damage to workpieces and reduce manufacturing costs.Recently,an innovative TCM approach based on sensor data modelling and model frequency analysis has been proposed.Different from traditional signal feature-based monitoring,the data from sensors are utilized to build a dynamic process model.Then,the nonlinear output frequency response functions,a concept which extends the linear system frequency response function to the nonlinear case,over the frequency range of the tooth passing frequency of the machining process are extracted to reveal tool health conditions.In order to extend the novel sensor data modelling and model frequency analysis to unsupervised condition monitoring of cutting tools,in the present study,a multivariate control chart is proposed for TCM based on the frequency domain properties of machining processes derived from the innovative sensor data modelling and model frequency analysis.The feature dimension is reduced by principal component analysis first.Then the moving average strategy is exploited to generate monitoring variables and overcome the effects of noises.The milling experiments of titanium alloys are conducted to verify the effectiveness of the proposed approach in detecting excessive flank wear of solid carbide end mills.The results demonstrate the advantages of the new approach over conventional TCM techniques and its potential in industrial applications.展开更多
目的研究9家中国血液制品企业共计41批次的静脉注射人免疫球蛋白[human immunoglobulin for intravenous injection,IVIG(p H4.0)]制品中Ig G Fc段生物学活性水平。方法基于《中国药典》和《欧洲药典》推荐的IVIG Fc段生物学活性检测方...目的研究9家中国血液制品企业共计41批次的静脉注射人免疫球蛋白[human immunoglobulin for intravenous injection,IVIG(p H4.0)]制品中Ig G Fc段生物学活性水平。方法基于《中国药典》和《欧洲药典》推荐的IVIG Fc段生物学活性检测方法,自行建立适合本实验室的IVIG Fc段生物学活性检测方法,并利用已建立的方法测定上述样本中Fc段生物学活性。结果 9个厂家IVIG制品中均能检测到针对白喉类毒素抗原的Ig G Fc段生物学活性,且所有样品Fc段生物学活性均高于60%;但每个厂家样品活性各不相同,与厂家A相比,厂家F*>H*>G*>A>C>I>D*>E*>B*(*表示P<0.01,差异显著)。结论所调查的41个批次IVIG制品Fc段生物学活性较高,符合《欧洲药典》检定和限度要求。本研究对国内IVIG制品的有效性做出了评估,为完善制品质量标准提供了理论依据。展开更多
详尽介绍和阐述了一种应用于W orldF IP FCS的基于对象模型的策略组态软件的研制。系统阐述了该策略组态软件的结构和组成,讨论了该策略组态软件的组态模式。提出了一种基于对象模型的FCS组态软件设计模式,详尽给出了该组态软件基于对...详尽介绍和阐述了一种应用于W orldF IP FCS的基于对象模型的策略组态软件的研制。系统阐述了该策略组态软件的结构和组成,讨论了该策略组态软件的组态模式。提出了一种基于对象模型的FCS组态软件设计模式,详尽给出了该组态软件基于对象模型的研制方法。在最后给出了一个具体的应用实例。展开更多
顺序功能图(Sequential Function Chart)是PLC程序设计语言之一,简称为SFC图。由于其具有结构清晰、直观简便、易于阅读和维护等特点,在工业顺序控制场合中被广泛应用。通过实例介绍了SFC图转换成梯形图的方法,首先分配存储器地址,然后...顺序功能图(Sequential Function Chart)是PLC程序设计语言之一,简称为SFC图。由于其具有结构清晰、直观简便、易于阅读和维护等特点,在工业顺序控制场合中被广泛应用。通过实例介绍了SFC图转换成梯形图的方法,首先分配存储器地址,然后确定转移条件,最后转换工作步和输出动作。展开更多
基金Supported by National Science Foundation of China (No. 30271598,30300284)Heilongjiang Science Foundation (No. ZJY03-04)Ministry of Information Industry (No. 01XK230002)Heilongjiang Department of Education (Major Project No. 9551z006)Innovative Fund for Distinguished University and College Teachers of Heilongjiang Province, No. 2001015
文摘AIM: To study the effect of Haimiding on the functioning of red cell membrane of FC and H22 tumor-bearing mice. METHODS: The membrane fluidity of red cells is measured with DPH fluorescence probe as a marker; the amount of red cell membrane proteins is measured using polyacrylamide gel electrophoresis; the amount of sialic acid (SA) on the surface of red cell membrane and the scalability of these cells are measured using colorimetric analysis. RESULTS: Haimiding can lower the membrane fluidity of red cells in tumor-bearing mice and the amount of their membrane proteins, while increasing the amount of sialic acid in the membrane of red cells in these mice and enhancing the ability of the membrane of their red cells to reseal. CONCLUSION: The anti-tumor effect of Haimiding on tumor-bearing mice is due to its ability to improve and restore the functions of the membrane of their red cell and to enhance the immune effect of the organisms.
基金supported by Defense Industrial Technology Development Program of China (Grant No. A2520110003)
文摘Much research effort has been devoted to economic design of X ＆ S control charts,however,there are some problems in usual methods.On the one hand,it is difficult to estimate the relationship between costs and other model parameters,so the economic design method is often not effective in producing charts that can quickly detect small shifts before substantial losses occur;on the other hand,in many cases,only one type of process shift or only one pair of process shifts are taken into consideration,which may not correctly reflect the actual process conditions.To improve the behavior of economic design of control chart,a cost ＆ loss model with Taguchi＇s loss function for the economic design of X ＆ S control charts is embellished,which is regarded as an optimization problem with multiple statistical constraints.The optimization design is also carried out based on a number of combinations of process shifts collected from the field operation of the conventional control charts,thus more hidden information about the shift combinations is mined and employed to the optimization design of control charts.At the same time,an improved particle swarm optimization（IPSO） is developed to solve such an optimization problem in design of X ＆ S control charts,IPSO is first tested for several benchmark problems from the literature and evaluated with standard performance metrics.Experimental results show that the proposed algorithm has significant advantages on obtaining the optimal design parameters of the charts.The proposed method can substantially reduce the total cost（or loss） of the control charts,and it will be a promising tool for economic design of control charts.
文摘In practice,the control charts for monitoring of process mean are based on the normality assumption.But the performance of the control charts is seriously affected if the process of quality characteristics departs from normality.For such situations,we have modified the already existing control charts such as Shewhart control chart,exponentially weighted moving average(EWMA)control chart and hybrid exponentially weighted moving average(HEWMA)control chart by assuming that the distribution of underlying process follows Power function distribution(PFD).By considering the situation that the parameters of PFD are unknown,we estimate them by using three classical estimation methods,i.e.,percentile estimator(P.E),maximum likelihood estimator(MLE)and modified maximum likelihood estimator(MMLE).We construct Shewhart,EWMA and HEWMA control charts based on P.E,MLE and MMLE.We have compared all these control charts using Monte Carlo simulation studies and concluded that HEWMA control chart under MLE is more sensitive to detect an early shift in the shape parameter when the distribution of the underlying process follows power function distribution.
文摘Tool condition monitoring(TCM)is a key technology for intelligent manufacturing.The objective is to monitor the tool operation status and detect tool breakage so that the tool can be changed in time to avoid significant damage to workpieces and reduce manufacturing costs.Recently,an innovative TCM approach based on sensor data modelling and model frequency analysis has been proposed.Different from traditional signal feature-based monitoring,the data from sensors are utilized to build a dynamic process model.Then,the nonlinear output frequency response functions,a concept which extends the linear system frequency response function to the nonlinear case,over the frequency range of the tooth passing frequency of the machining process are extracted to reveal tool health conditions.In order to extend the novel sensor data modelling and model frequency analysis to unsupervised condition monitoring of cutting tools,in the present study,a multivariate control chart is proposed for TCM based on the frequency domain properties of machining processes derived from the innovative sensor data modelling and model frequency analysis.The feature dimension is reduced by principal component analysis first.Then the moving average strategy is exploited to generate monitoring variables and overcome the effects of noises.The milling experiments of titanium alloys are conducted to verify the effectiveness of the proposed approach in detecting excessive flank wear of solid carbide end mills.The results demonstrate the advantages of the new approach over conventional TCM techniques and its potential in industrial applications.
文摘目的研究9家中国血液制品企业共计41批次的静脉注射人免疫球蛋白[human immunoglobulin for intravenous injection,IVIG(p H4.0)]制品中Ig G Fc段生物学活性水平。方法基于《中国药典》和《欧洲药典》推荐的IVIG Fc段生物学活性检测方法,自行建立适合本实验室的IVIG Fc段生物学活性检测方法,并利用已建立的方法测定上述样本中Fc段生物学活性。结果 9个厂家IVIG制品中均能检测到针对白喉类毒素抗原的Ig G Fc段生物学活性,且所有样品Fc段生物学活性均高于60%;但每个厂家样品活性各不相同,与厂家A相比,厂家F*>H*>G*>A>C>I>D*>E*>B*(*表示P<0.01,差异显著)。结论所调查的41个批次IVIG制品Fc段生物学活性较高,符合《欧洲药典》检定和限度要求。本研究对国内IVIG制品的有效性做出了评估,为完善制品质量标准提供了理论依据。
