建立了采用液质联用法(liquid chromatography-tandem mass spectrometry,LC-MS/MS)检测化妆品中氟康唑等16种抗感染类药物的方法。结果表明,酮康唑线性范围为0.50~25μg/g,其余15种线性范围为0.10~5.0μg/g,相关系数r均大于0.99;精密...建立了采用液质联用法(liquid chromatography-tandem mass spectrometry,LC-MS/MS)检测化妆品中氟康唑等16种抗感染类药物的方法。结果表明,酮康唑线性范围为0.50~25μg/g,其余15种线性范围为0.10~5.0μg/g,相关系数r均大于0.99;精密度试验RSD均小于1.8%;酮康唑检出质量浓度为25 ng/mL,其余15种组分检出质量浓度均小于10 ng/mL;回收率试验结果在86.0%~112.4%范围之内。说明本方法具有良好的线性、精密度和回收率,适用于化妆品中氟康唑等16种抗感染类药物的检测。本方法结合国标方法,增加了8种组分的检测,加强了化妆品的监管力度,降低了化妆品的安全风险。展开更多
Big data is becoming increasingly important because of the enormous information generation and storage in recent years.It has become a challenge to the data mining technique and management.Based on the characteristics...Big data is becoming increasingly important because of the enormous information generation and storage in recent years.It has become a challenge to the data mining technique and management.Based on the characteristics of geometric explosion of information in the era of big data,this paper studies the possible approaches to balance the maximum value and privacy of information,and disposes the Nine-Cells information matrix,hierarchical classification.Furthermore,the paper uses the rough sets theory to proceed from the two dimensions of value and privacy,establishes information classification method,puts forward the countermeasures for information security.Taking spam messages for example,the massive spam messages can be classified,and then targeted hierarchical management strategy was put forward.This paper proposes personal Information index system,Information management platform and possible solutions to protect information security and utilize information value in the age of big data.展开更多
A vast amount of information has been produced in recent years,which brings a huge challenge to information management.The better usage of big data is of important theoretical and practical significance for effectivel...A vast amount of information has been produced in recent years,which brings a huge challenge to information management.The better usage of big data is of important theoretical and practical significance for effectively addressing and managing messages.In this paper,we propose a nine-rectangle-grid information model according to the information value and privacy,and then present information use policies based on the rough set theory.Recurrent neural networks were employed to classify OTT messages.The content of user interest is effectively incorporated into the classification process during the annotation of OTT messages,ending with a reliable trained classification model.Experimental results showed that the proposed method yielded an accurate classification performance and hence can be used for effective distribution and control of OTT messages.展开更多
文摘Big data is becoming increasingly important because of the enormous information generation and storage in recent years.It has become a challenge to the data mining technique and management.Based on the characteristics of geometric explosion of information in the era of big data,this paper studies the possible approaches to balance the maximum value and privacy of information,and disposes the Nine-Cells information matrix,hierarchical classification.Furthermore,the paper uses the rough sets theory to proceed from the two dimensions of value and privacy,establishes information classification method,puts forward the countermeasures for information security.Taking spam messages for example,the massive spam messages can be classified,and then targeted hierarchical management strategy was put forward.This paper proposes personal Information index system,Information management platform and possible solutions to protect information security and utilize information value in the age of big data.
基金This work is supported by the Research on Big Data in Application for Education of BUPT(No.2018Y0403)Fundamental Research Funds of BUPT(No.2018XKJC07,2018RC27)the National Natural Science Foundation of China(No.61571059).
文摘A vast amount of information has been produced in recent years,which brings a huge challenge to information management.The better usage of big data is of important theoretical and practical significance for effectively addressing and managing messages.In this paper,we propose a nine-rectangle-grid information model according to the information value and privacy,and then present information use policies based on the rough set theory.Recurrent neural networks were employed to classify OTT messages.The content of user interest is effectively incorporated into the classification process during the annotation of OTT messages,ending with a reliable trained classification model.Experimental results showed that the proposed method yielded an accurate classification performance and hence can be used for effective distribution and control of OTT messages.
