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Near-infrared chemical imaging for quantitative analysis of chlorpheniramine maleate and distribution homogeneity assessment in pharmaceutical formulations

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Journal of Innovative Optical Health Sciences 2016年第6期9卷 12-20页

作者： manfei xu Luwei Zhou Qiao Zhang Zhisheng Wu Xinyuan Shi Yanjiang Qiao Beijing University of Chinese Medicine P.R.China 100102 Pharmaceutical Engineering and New Drug Development of Traditional Chinese Medicine(TCM)of Ministry of Education P.R.China 100102 Key Laboratory of TCM-information Engineering of State Administration of TCM Beijing P.R.China 100102 Beijing Key Laboratory for Basic and Development Research on Chinese Medicine Beijing P.R.China 100102

Near infrared chemical imaging(NIR-CI)combines conventional near infrared(NIR)spectros-copy with chemical imaging,thus provides spectral and spatial information simult *** could be utilized to visualize the spatial distribution of the ingredients in a *** data acquired using NIR CI instrument are hyperspectral data cube(hypercube)containing thousands of *** methodologies are necessary to transform spectral information into chemical *** least squares(PLS)method was performed to extract chemical information of chlorpheniramine maleate in pharmaceutical formulations.A series of samples which consisted of different CPM concentrations(w/w)were compressed and hypercube data were *** spectra extracted from the hypercube were used to establish the PLS model of *** results of the model were R^(2)_(val)0.981,RMSEC 0.384%,RMSECV 0.483%,RMSEP 0.631%,indicating that this model was reliable.

关键词： Near infrared chemical imaging partial least squares regression assessment of distributional homogeneity chlorpheniramine maleate

Decoding psychosis:from national genome project to national brain project

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General Psychiatry 2022年第4期35卷 214-223页

作者： Liya Sun manfei xu Yongyong Shi Yifeng xu Jinghong Chen Lin He Shanghai Mental Health Center Editorial Office Shanghai Jiao Tong University School of MedicineShanghaiChina Bio-X Institutes Key Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersMinistry of EducationShanghai Jiao Tong UniversityShanghaiChina Shanghai Key Laboratory of Psychotic Disorders Shanghai Mental Health CentreShanghai Jiao Tong University School of MedicineShanghaiChina

The mind has puzzled humans for centuries,and its disorders,such as psychoses,have caused tremendous ***,relatively recent biotechnological breakthroughs,such as DNA technology and neuroimaging,have empowered scientists to explore the more fundamental aspects of *** searching for psychosis-causing genes to imaging the depths of the brain,scientists worldwide seek novel methods to understand the mind and the causes of its *** article will briefly review the history of understanding and managing psychosis and the main findings of modern genetic research and then attempt to stimulate thought for decoding the biological mechanisms of psychosis in the present era of brain science.

关键词： breakthrough sis psycho

Estimation of multivariate detection limits of four quality parameters in licorice using MEMS–NIR spectrometry coupled with two sampling accessories

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Journal of Innovative Optical Health Sciences 2015年第5期8卷 1-10页

作者： Zhisheng Wu Xinyuan Shi Na Zhao Yanling Pei manfei xu Luwei Zhou Yang Li Yanjiang Qiao Beijing University of Chinese Medicine P.R.China 100102 Beijing Key Laboratory for Basic and Development Research on Chinese Medicine Beijing P.R.China 100102 Key Laboratory of TCM-information Engineer of State Administration of TCM Beijing P.R.China 100102

In this work,multivariate detection limits(MDL)estimator was obtained based on the microelectro-mechanical systems–near infrared(MEMS–NIR)technology coupled with two sampling accessories to assess the detection capability of four quality parameters(glycyrrhizic acid,liquiritin,liquiritigenin and isoliquiritin)in licorice from di®erent geographical regions.112 licorice samples were divided into two parts(calibration set and prediction set)using Kennard–Stone(KS)*** quality parameters were measured using high-performance liquid chromatography(HPLC)method according to Chinese pharmacopoeia and previous *** MEMS–NIR spectra were acquired from¯ber optic probe(FOP)and integrating sphere,then the partial least squares(PLS)model was obtained using the optimum processing *** indicators have been utilized to assess the PLS model *** assessment using chemometrics indicators is based on relative mean prediction error of all concentration levels,which indicated relatively low sensitivity for low-content analytes(below 1000 parts per million(ppm)).Therefore,MDL estimator was introduced with alpha error and beta error based on good prediction characteristic of low concentration *** result suggested that MEMS–NIR technology coupled with fiber optic probe(FOP)and integrating sphere was able to detect minor *** result further demonstrated that integrating sphere mode(i.e.,MDL0:05;0:05,0.22%)was more robust than FOP mode(i.e.,MDL0:05;0:05,0.48%).In conclusion,this research proposed that MDL method was helpful to determine the detection capabilities of low-content analytes using MEMS–NIR technology and successful to compare two sampling accessories.

关键词： Near-infrared spectrometer multivariate detection limits sampling accessories licorice partial least squares regression

Guidance for use of weights: an analysis of different types of weights and their implications when using SAS PROCs

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General Psychiatry 2019年第1期32卷 49-55页

作者： Sabrina Richardson Tuo Lin Yangyi Li Xiaohui Niu manfei xu Valerie Stander Xin M Tu The Henry M.Jackson Foundation for the Advancement of Military Medicine Inc BethesdaMarylandUnited States Military Population Health Naval Health Research CenterSan DiegoCaUnited States Clinical and Translational Research Institute University of California San DiegoSan DiegoCaliforniaUSA School of Mathematical and Statistical Sciences Clemson UniversityClemsonSouth CarolinaUSA College of Informatics Huazhong Agriculture UniversityWuhanChina Shanghai Mental Health Center Medical CollegeShanghai Jiao Tong UniversityShanghaiChina

SAS and other popular statistical packages provide support for survey data with sampling weights. For example, PROC MEANS and PROC LOGISTIC in SAS have their counterparts PROC SURVEYMEANS and PROC SURVEYLOGISTIC to facilitate analysis of data from complex survey studies. On the other hand, PROC MEANS and many other classic SAS procedures also provide an option for including weights and yield identical point estimates, but different standard errors (SEs), as their corresponding survey procedures. This paper takes an in-depth look at different types of weights and provides guidance on use of different SAS procedures.

关键词： Guidance use of weights analysis

Post-hoc power analysis:a conceptually valid approach for power based on observed study data

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General Psychiatry 2022年第4期35卷 266-272页

作者： Natalie E Quach Kun Yang Ruohui Chen Justin Tu manfei xu Xin M Tu Xinlian Zhang Division of Biostatistics and Bioinformatics Herbert Wertheim School of Public Health and Human Longevity ScienceUC San DiegoLa JollaCaliforniaUSA Department of Orthopedics Emory HealthcareEmory UniversityAtlantaGeorgiaUSA Shanghai Mental Health Center Shanghai Jiao Tong University School of MedicineShanghaiChina

Power analysis is a key component of planning prospective studies such as clinical ***,some journals in biomedical and psychosocial sciences request power analysis for data already collected and analysed before acceptingmanuscripts for *** have raised concerns about the conceptual basis for such post-hoc power *** recently,Zhang et al showed by using simulation studies that such power analyses do not indicate true power for detecting statistical significance since post-hoc power estimates vary in the range of practical interests and can be very different from the true *** the other hand,journals'request for information about the reliability of statistical findings in a manuscript due to small sample sizes is justified since the sample size plays an important role in the reproducibility of statistical *** problem is the wording of the journals'request,as the current power analysis paradigm is not designed to address journals'concerns about the reliability of the statistical *** this paper,we propose an alternate formulation of power analysis to provide a conceptually valid approach to the journals'wrongly worded but practically significant concern.

关键词： power approach sizes

Rapid analysis of dyed safflowers by color objectification and pattern recognition methods

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Journal of Traditional Chinese Medical Sciences 2016年第4期3卷 234-241页

作者： manfei xu Shengyun Dai Zhisheng Wu Xinyuan Shi Yanjiang Qiao Beijing University of Chinese Medicine Beijing 100102China Department of Pharmacy The First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenan 450052China Beijing Key Laboratory for Basic and Development Research on Chinese Medicine BeijingChina Key Laboratory of TCM-information Engineer of State Administration of TCM BeijingChina

Objective:Rapid discrimination of three classes of safflowers,dyed safflower,adulterated safflower,and pure safflower using computer vision and image processing ***:A low cost computer vision system(CVS)was designed to measure the color of safflowers in the RGB(red,green,blue),L^*a^*b^*,and HSV(hue,saturation,vale)color *** color moments in these three color spaces were extracted from the acquired images as color features of *** addition,five kinds of pigments that are commonly used to dye safflowers were identified by high-performance liquid chromatography as a *** recognition methods were investigated for rapid discrimination,including an unsupervised principal component analysis(PCA)algorithm and a supervised partial least squares discriminant analysis(PLS-DA)***:The mean error(e)between color values measured with the colorimeter and calculated with the CVS was 2.4%,with a high correlation coefficient(r)of *** result indicated that the established CVS was reliable for color estimation of *** PLS-DA model,which had a total accuracy of 91.89%,outperformed the PCA model in classifying pure,adulterated,and dyed ***:The color objectification is a promising tool for rapid identification of dyed and adulterated safflowers.

关键词： Safflower Coloration Adulteration Computer vision PCA PLS-DA

Color spaces of safflower (Carthamus tinctorius L.) for quality assessment

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Journal of Traditional Chinese Medical Sciences 2016年第3期3卷 168-175页

作者： manfei xu Chenzhao Du Na Zhang Xinyuan Shi Zhisheng Wu Yanjiang Qiao Department of Pharmacy The First Affiliated Hospital of Zhengzhou UniversityZhengzhouHenan 450052China Beijing University of Chinese Medicine Beijing 100102China Beijing Key Laboratory for Basic and Development Research on Chinese Medicine BeijingChina Key Laboratory of TCM-information Engineer of State Administration of TCM BeijingChina

Objective:In this study,safflower(Carthamus tinctorius L.)was taken as a representative example to examine the application of color characteristics to evaluate ***:A computer vision system was established for the objective and nondestructive assessment of color using image processing *** parameters were investigated based on the RGB,L*a*b and HSV color *** content of hydroxysafflor yellow A(HSYA),a major bioactive constituent of safflower,was determined by high-performance liquid *** relationship between HSYA content and color values was investigated by Pearson correlation analysis.A multiple linear regression model was established to predict the HSYA content from color ***:The red color and lightness of safflower were found to be significantly related to HSYA *** prediction equation obtained by multiple regression was reliable with an R2 value of 0.805(P<.01).Conclusion:The results suggest that the computer vision technique could be used as a promising and non-destructive technology for color measurement and quality evaluation of CHM.

关键词： Computer vision Carthamus tinctorius L. Color Quality evaluation

基于改进CEEMD的超声检测信号自适应降噪

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振动与冲击 2017年第20期36卷 225-232页

作者：孙灵芳徐曼菲朴亨李霞吉林省节能与测控技术工程实验室吉林吉林132012 东北电力大学自动化工程学院吉林吉林132012

针对超声时域检测污垢数据的非平稳性和模态混叠难以实现污垢特征分离的问题,对于采用功率谱密度判定噪声区间的CEEMD分解,进而直接舍弃高频分量容易造成有效信息损失的不足,以及传统小波降噪易造成重构信号的变形等缺陷,提出基于CEEMD... 详细信息

针对超声时域检测污垢数据的非平稳性和模态混叠难以实现污垢特征分离的问题,对于采用功率谱密度判定噪声区间的CEEMD分解,进而直接舍弃高频分量容易造成有效信息损失的不足,以及传统小波降噪易造成重构信号的变形等缺陷,提出基于CEEMD自相关函数的自适应软阈值降噪,引入模态自相关特性曲线判定含有噪声成分较多的IMF分量,并结合小波自适应软阈值方法拾取噪声分量中的高频有用信号。仿真分析和实验研究表明:基于CEEMD和自相关的自适应降噪方法优于传统小波阈值和单纯的CEEMD,且能很好的解决模态混叠问题,提取出污垢特征信号,对超声检测信号的处理具有重要意义。

关键词：超声检测完备总体经验模式分解自相关函数自适应降噪

基于流固耦合的换热管道污垢超声回波检测数值模拟与实验

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中国机械工程 2017年第3期28卷 340-348页

作者：孙灵芳徐曼菲朴亨李霞东北电力大学节能与测控技术工程实验室吉林132012 东北电力大学自动化工程学院吉林132012

对换热管道污垢的有限元建模、耦合边界处理进行了分析与讨论,以压力声学与固体力学为理论基础,基于COMSOL Multiphysics中的PDE模式构建平面辐射声源下的声波振动控制方程,采用超声回波法对换热管道污垢厚度进行无损检测,求解不同振动... 详细信息

对换热管道污垢的有限元建模、耦合边界处理进行了分析与讨论,以压力声学与固体力学为理论基础,基于COMSOL Multiphysics中的PDE模式构建平面辐射声源下的声波振动控制方程,采用超声回波法对换热管道污垢厚度进行无损检测,求解不同振动频率下的回波振型和响应时间历程,为检测多层管材时模态和频率选择提供理论依据。针对多组不同管材污垢厚度回波特性,将有限元仿真与测点检测结果进行对比,验证了模型的准确性。基于换热污垢动态模拟实验装置进行了污垢定量实验。结果表明:采用实验和有限元结合的方式实现换热管道污垢超声回波检测的方法是可行的,数值模拟与实验结果吻合,超声波对管道沉积污垢的检测误差在±4%左右,该结果对工程在役换热集输系统的运行和清管具有实际意义。

关键词：换热管道污垢流固耦合超声回波数值模拟检测