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| 1 | Color spaces of safflower (Carthamus tinctorius L.) for quality assessment显示文摘Objective:In this study,safflower(Carthamus tinctorius L.)was taken as a representative example to examine the application of color characteristics to evaluate quality.Methods:A computer vision system was established for the objective and nondestructive assessment of color using image processing algorithms.Color parameters were investigated based on the RGB,L*a*b and HSV color spaces.The content of hydroxysafflor yellow A(HSYA),a major bioactive constituent of safflower,was determined by high-performance liquid chromatography.The 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 values.Results:The red color and lightness of safflower were found to be significantly related to HSYA content.The 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. | Manfei Xu Chenzhao Du Na Zhang Xinyuan Shi Zhisheng Wu Yanjiang Qiao | 2016 | Journal of Traditional Chinese Medical Sciences2016，3，3： | 5 |
| 2 | Rapid analysis of dyed safflowers by color objectification and pattern recognition methods显示文摘Objective:Rapid discrimination of three classes of safflowers,dyed safflower,adulterated safflower,and pure safflower using computer vision and image processing algorithms.Methods: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 spaces.The color moments in these three color spaces were extracted from the acquired images as color features of safflower.In addition,five kinds of pigments that are commonly used to dye safflowers were identified by high-performance liquid chromatography as a reference.Pattern 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)algorithm.Results: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 0.9905.This result indicated that the established CVS was reliable for color estimation of safflowers.The PLS-DA model,which had a total accuracy of 91.89%,outperformed the PCA model in classifying pure,adulterated,and dyed safflowers.Conclusion:The color objectification is a promising tool for rapid identification of dyed and adulterated safflowers. | Manfei Xu Shengyun Dai Zhisheng Wu Xinyuan Shi Yanjiang Qiao | 2016 | Journal of Traditional Chinese Medical Sciences2016，3，4： | 2 |
| 3 | Large-scale genome-wide scans do not support petaloid toenail as a Mendelian trait显示文摘Petaloid toenail,or accessory nail of the fifth toe,is a physical trait characterized by the presence of an additional tiny toenail on the small toe.Since it can occasionally cause disfigurement and tenderness while wearing tight shoes or walking,standard surgical matricectomy is often carried out to repair the petaloid toenail(Chi and Wang,2004).Chinese legends recorded petaloid | Manfei Zhang Sijie Wu Juan Zhang Yajun Yang Jingze Tan Haijuan Guan Yu Liu Kun Tang Jean Krutmann Shuhua Xu Li Jin Yaqun Guan Hui Li Sijia Wang | 2016 | Journal of Genetics and Genomics2016，43，12： | 2 |
| 4 | Decoding psychosis:from national genome project to national brain project显示文摘The mind has puzzled humans for centuries,and its disorders,such as psychoses,have caused tremendous difficulties.However,relatively recent biotechnological breakthroughs,such as DNA technology and neuroimaging,have empowered scientists to explore the more fundamental aspects of psychosis.From 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 disorders.This 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. | Liya Sun Manfei Xu Yongyong Shi Yifeng Xu Jinghong Chen Lin He | 2022 | General Psychiatry2022，35，4： | 1 |
| 5 | A genome-wide association study of facial morphology identifies novel genetic loci in Han Chinese显示文摘The human face is a heritable surface with many complex sensory organs.In recent years,many genetic loci associated with facial features have been reported in different populations,yet there is a lack of studies on the Han Chinese population.Here,we report a genome-wide association study of 3D normal human faces of 2,659 Han Chinese with autosegment phenotypes of facial morphology.We identify singlenucleotide polymorphisms(SNPs)encompassing four genomic regions showing significant associations with different facial regions,including SNPs in DENND1 B associated with the chin,SNPs among PISRT1 associated with eyes,SNPs between DCHS2 and SFRP2 associated with the nose,and SNPs in VPS13 B associated with the nose.We replicate 24 SNPs from previously reported genetic loci in different populations,whose candidate genes are DCHS2,SUPT3 H,HOXD1,SOX9,PAX3,and EDAR.These results provide a more comprehensive understanding of the genetic basis of variation in human facial morphology. | Yin Huang Dan Li Lu Qiao Yu Liu Qianqian Peng Sijie Wu Manfei Zhang Yajun Yang Jingze Tan Shuhua Xu Li Jin Sijia Wang Kun Tang Stefan Grunewald | 2021 | Journal of Genetics and Genomics2021，48，3： | 1 |
| 6 | Post-hoc power analysis:a conceptually valid approach for power based on observed study data显示文摘Power analysis is a key component of planning prospective studies such as clinical trials.However,some journals in biomedical and psychosocial sciences request power analysis for data already collected and analysed before acceptingmanuscripts for publication.Many have raised concerns about the conceptual basis for such post-hoc power analyses.More 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 power.On 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 findings.The 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 findings.In 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. | Natalie E Quach Kun Yang Ruohui Chen Justin Tu Manfei Xu Xin M Tu Xinlian Zhang | 2022 | General Psychiatry2022，35，4： | 0 |
| 7 | Guidance for use of weights: an analysis of different types of weights and their implications when using SAS PROCs显示文摘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. | Sabrina Richardson Tuo Lin Yangyi Li Xiaohui Niu Manfei Xu Valerie Stander Xin M Tu | 2019 | General Psychiatry2019，32，1： | 0 |
| 8 | Estimation of multivariate detection limits of four quality parameters in licorice using MEMS–NIR spectrometry coupled with two sampling accessories显示文摘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)method.Four quality parameters were measured using high-performance liquid chromatography(HPLC)method according to Chinese pharmacopoeia and previous studies.The 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 method.Chemometrics indicators have been utilized to assess the PLS model performance.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 levels.The result suggested that MEMS–NIR technology coupled with fiber optic probe(FOP)and integrating sphere was able to detect minor analytes.The 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. | Zhisheng Wu Xinyuan Shi Na Zhao Yanling Pei Manfei Xu Luwei Zhou Yang Li Yanjiang Qiao | 2015 | Journal of Innovative Optical Health Sciences2015，8，5： | 0 |
| 9 | Rapid analysis of spatial distribution of PVPP and hardness of Yinhuang dispersible tablets by NIR-CI显示文摘The present study aimed at investigating the relationship between tablet hardness and homogeneity of different Yinhuang dispersible tablets by near-infrared chemical imaging(NIR-CI)technology.The regularity of best hardness was founded between tablet hardness and the spatial distribution uniformity of Yinhuang dispersible tablets.The ingredients homogeneity of Yinhuang dispersible tablets could be spatially determined using basic analysis of correlation between analysis(BACRA)method and binary image.Then different hardnesses of Yinhuang dispersible tablets were measured.Finally,the regularity between tablet hardness and the spatial distribution uniformity of Yinhuang dispersible tablets was illuminated by quantifying the agglomerate of polyvinyl poly pyrrolidone(PVPP).The result demonstrated that the distribution of PVPP was unstable when the hardness was too large or too small,while the agglomerate of PVPP was smaller and more stable when the best tablet hardness was 75 N.This paper provided a novel methodology for selecting the best hardness in the tabletting process of Chinese Medicine Tablet. | Yifei Wang Zhisheng Wu Zhaoyi Wang Manfei Xu Xinyuan Shi Yanjiang Qiao | 2016 | Journal of Innovative Optical Health Sciences2016，9，2： | 0 |
| 10 | Near-infrared chemical imaging for quantitative analysis of chlorpheniramine maleate and distribution homogeneity assessment in pharmaceutical formulations显示文摘Near infrared chemical imaging(NIR-CI)combines conventional near infrared(NIR)spectros-copy with chemical imaging,thus provides spectral and spatial information simult aneously.It could be utilized to visualize the spatial distribution of the ingredients in a sample.The data acquired using NIR CI instrument are hyperspectral data cube(hypercube)containing thousands of spectra.Chemometric methodologies are necessary to transform spectral information into chemical information.Partial 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 measured.The spectra extracted from the hypercube were used to establish the PLS model of CPM.The 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. | Manfei Xu Luwei Zhou Qiao Zhang Zhisheng Wu Xinyuan Shi Yanjiang Qiao | 2016 | Journal of Innovative Optical Health Sciences2016，9，6： | 0 |
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