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Approach to lattice-related/content-specific spectral ranges of near-infrared diffuse reflectance spectroscopy of cefazolin sodium and the construction of a quantitative model for the determination of cefazolin sodium content in different crystal forms

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Science China Chemistry 2013年第6期56卷 789-798页

作者： LIU YanYun feng yanchun JIA YanHua HU ChangQin National Institutes for Food and Drug Control Hubei Institute for Food and Drug Control Institute of Medicinal Biotechnology Chinese Academy of Medical Science and Peking Union Medical College

Cefazolin sodium can form both α- and β-form crystals. It also can form dehydrated crystalline and amorphous products through different production processes. Because different polymorphic medicines usually have different physical and chemical properties, it is critical to emphasize the crystallization control of polymorphic medicines. Near-infrared （NIR） analysis, which incorporates a combination of NIR spectroscopic techniques and multivariate chemometric methods, is considered a powerful tool for the determination of the crystallinity of polymorphic drugs. The selection of optimal spectral ranges that correlate with the lattice specificity and content specificity is crucial to obtaining a specific NIR model. In the present work, near-infrared （NIR） spectra of cefazolin sodium with different crystal forms created through different processes were studied. The results suggest that wavelengths within the range of 9102.7-8597.5 cm-1 is related to the specificity of the cefazolin sodium crystal lattice and that the range of 6001.6-5496.4 cm i is associated with the quantitative content of cefazolin sodium. The two ab- sorptions are caused by the second overtone of the C-H stretching band （3nC-H） and the first overtone of C-H stretching band （2uC-H）, respectively. Using these results, we established a suitable method of constructing a universal quantitative model by using mixed samples in different crystal forms as a calibration set, selecting a content-specific range （6001.6-5496.4 cm-l）, and adding lattice-related spectral ranges where appropriate. This may provide a framework for the construction of prediction models for polymorphic medicines.

关键词： cefazolin sodium crystal form near-infrared spectroscopy crystal-specific model universal model

A new strategy to iteratively update scalable universal quantitative models for the testing of azithromycin by near infrared spectroscopy

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Science China Chemistry 2013年第4期56卷 533-540页

作者： ZOU WenBo feng yanchun DONG JiXiong SONG DanQing HU ChangQin National Institutes for Food and Drug Control Institute of Medicinal Biotechnology Academy of Medical Science and Peking Union Medical College

The training set of a universal near infrared (NIR) model for quantitative analysis of a drug should cover as many samples of this drug in the market as possible. Inevitably the model may fail for new products that have different excipients and production processes. In such circumstances the model should be updated. We here propose a new strategy to iteratively update a universal NIR quantitative model for azithromycin. We prove that universal quantitative models generated from this new strategy are comparably effective for azithromycin injection powders and azithromycin tablets, compared to the strategy using hierarchical clustering method which we reported previously. Furthermore, we establish the correlation coefficient r between a new sample and the training set samples can be used to decide whether or not the model should be updated.

关键词： near infrared spectroscopy universal quantitative model model updating azithromycin

Effects of Exogenous Trehalose on the Metabolism of Sugar and Abscisic Acid in Tomato Seedlings Under Salt Stress

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Transactions of Tianjin University 2019年第5期25卷 451-471页

作者： yanchun feng Xiuyu Chen Yulong He Xiaohong Kou Zhaohui Xue School of Chemical Engineering and Technology Tianjin University

Salt stress a ects the growth and development of plants, which results in a decrease in crop quality and yield. In this study, we used tomato seedlings treated with salt and trehalose as experimental materials and analyzed them using the technique for order preference by similarity to ideal solution analysis to select the optimal trehalose concentration for treatment. We also determined the contents of sugar and abscisic acid (ABA) and detected the expression of genes involved in the metabolism of sugar and ABA by quantitative real-time PCR. Results showed that the optimal trehalose concentration was 2 mmol/L for tomato seedlings under salt stress. Exogenous trehalose decreased the starch content and increased the soluble sugar con- tent by a ecting the expression of genes related to the metabolism of starch and soluble sugar. Exogenous trehalose altered the accumulation and distribution of sugar by inducing the upregulation of sugar transporter genes. Furthermore, trehalose increased the ABA content to induce salt stress response by regulating the expression of genes related to the synthesis and metabolism of ABA. In conclusion, trehalose can e ectively alleviate salt stress and enhance salt tolerance of tomato. These ndings provide a novel perspective and a better resource to investigate the salt tolerance mechanism and a new method for alleviating salt stress in tomato.

关键词： Tomato Trehalose Salt stress Sugar metabolism Sugar transporter Abscisic acid

SpectraTr:A novel deep learning model for qualitative analysis of drug spectroscopy based on transformer structure

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Journal of Innovative Optical Health Sciences 2022年第3期15卷 107-117页

作者： Pengyou Fu Yue Wen Yuke Zhang Lingqiao Li yanchun feng Lihui Yin Huihua Yang School of Computer Science and Information Security Guilin University of Electronic Technology 1 Jinji Road Guilin 541004P.R.China School of Artīcial Intelligence Beijing University of Posts and Telecommunications 10 Xitucheng Road Beijing 100876P.R.China School of International Beijing University of Posts and Telecommunications 10 Xitucheng Road Beijing 100876P.R.China National Institutes for Food and Drug Control 10 Tiantanxili Road Beijing 100050P.R.China

The drug supervision methods based on near-infrared spectroscopy analysis are heavily dependent on the chemometrics model which characterizes the relationship between spectral data and drug *** preliminary application of convolution neural network in spectral analysis demonstrates excellent end-to-end prediction ability,but it is sensitive to the hyper-parameters of the *** transformer is a deep-learning model based on self-attention mechanism that compares convolutional neural networks(CNNs)in predictive performance and has an easy-todesign model ***,a novel calibration model named SpectraTr,based on the transformer structure,is proposed and used for the qualitative analysis of drug *** experimental results of seven classes of drug and 18 classes of drug show that the proposed SpectraTr model can automatically extract features from a huge number of spectra,is not dependent on pre-processing algorithms,and is insensitive to model *** the ratio of the training set to test set is 8:2,the prediction accuracy of the SpectraTr model reaches 100%and 99.52%,respectively,which outperforms PLS DA,SVM,SAE,and *** model is also tested on a public drug data set,and achieved classification accuracy of 96.97%without preprocessing algorithm,which is 34.85%,28.28%,5.05%,and 2.73%higher than PLS DA,SVM,SAE,and CNN,*** research shows that the SpectraTr model performs exceptionally well in spectral analysis and is expected to be a novel deep calibration model after Autoencoder networks(AEs)and CNN.

关键词： Near-infrared spectroscopy analysis drug supervision transformer structure deep learning chemometrics

Multi-manufacturer drug identification based on near infrared spectroscopy and deep transfer learning

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Journal of Innovative Optical Health Sciences 2020年第4期3卷 39-50页

作者： Lingqiao Li Xipeng Pan Wenli Chen Manman Wei yanchun feng Lihui Yin Changqin Hu Huihua Yang School of Automation Beijing University of Posts and Telecommunications 10 Xitucheng Road Beijing 100876P.R.China School of Computer Science and Information Security Guilin University of Electronic Technology 1 Jinji Road Guilin 541004P.R.China National Institutes for Food and Drug Control 10 Tiantanxili Road Beijing 100050 P.R.China

Near infrared(NIR)spectrum analysis technology has outstanding advantages such as rapid,nondestructive,pollution-free,and is widely used in food,pharmaceutical,petrochemical,agricultural products production and testing *** neural network(CNN)is one of the most successful methods in big data analysis because of its powerful feature ex-traction and abstraction ability,and it is especially suitable for solving multi-classification ***-based transfer learning is a machine learning technique,which migrates para-meters of trained model to the new one to improve the *** transfer learning strategy can speed up the learning efficiency of the model instead of learning from *** view of the difficulty in acquisition of drug NIR spectral data and high labeling cost,this paper proposes three simple but very effective transfer learning methods for multi-manufacturer identification of drugs based on one-dimensional *** with the original CNN,the transfer learning method can achieve better classification performance with fewer NIR spectral data,which greatly reduces the dependence on labeled NIR spectral *** the same time,this paper also compares and discusses three different transfer learning methods,and selects the most suitable transfer learning model for drug NIR spectral data *** with the current popular methods,such as SVM,BP,AE and ELM,the proposed method achieves higher classification accuracy and scalability in multi-variety and multi-manufacturer NIR spectrum classification experiments.

关键词： Near-infrared spectroscopy transfer learning drug identification multi-manufacturer

Deep belief network-based drug identification using near infrared spectroscopy

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Journal of Innovative Optical Health Sciences 2017年第2期10卷 1-10页

作者： Huihua Yang Baichao Hu Xipeng Pan Shengke Yan yanchun feng Xuebo Zhang Lihui Yin Changqin Hu College of Electronic Engineering and Automation Guilin University of Electronic Technology 1 Jinji Road Guilin 541004P.R.China A utomation School Beijing University of Posts 8 Telecommunications 10 Xitucheng Road Beijing 100876P.R.China National Institutes for Food and Drug Control 10 Tiantanxili Road Beijing 100050P.R.China

Near infrared spectroscopy(NIRS)analysis technology,combined with chemometrics,can be effectively used in quick and nondestructive analysis of quality and *** this paper,an effective drug identification method by using deep belief network(DBN)with dropout mecha-nism(dropout-DBN)to model NIRS is introduced,in which dropout is employed to overcome the overfitting problem coming from the small *** paper tests proposed method under datasets of different sizes with the example of near infrared diffuse refectance spectroscopy of erythromycin ethylsuccinate drugs and other drugs,aluminum and nonaluminum ***,it gives experiments to compare the proposed method's performance with back propagation(BP)neural network,support vector machines(SVMs)and sparse denoising auto-encoder(SDAE).The results show that for both binary classification and multi-classification,dropout mechanism can improve the classification accuracy,and dropout-DBN can achieve best classification accuracy in almost all *** is similar to dropout-DBN in the aspects of classification accuracy and algorithm stability,which are higher than that of BP neural network and SVM *** terms of training time,dropout-DBN model is superior to SDAE model,but inferior to BP neural network and SVM ***,dropout-DBN can be used as a modeling tool with effective binary and multi-class classification performance on a spectrum sample set of small size.

关键词： Deep belief networks near infrared spectroscopy drug classification dropout

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高热震稳定性耐侵蚀浇注料在热油炉上的应用

林产工业 2001年第3期28卷 35-37页

作者：冯延春王宪森山东耐火材料厂研究所淄博255200 山东德森集团德州253000

某人造板厂热油炉是从国外引进的整体窑炉,燃料是人造板边角料及素板砂光粉尘,用来加热导热油,为整个人造板厂生产线提供热能.其内衬里是高纯红柱石砖,在炉体正常工作时,工作面产生大量液相,流淌严重,炉腰部位红柱石砖剥落严重,个别部... 详细信息

某人造板厂热油炉是从国外引进的整体窑炉,燃料是人造板边角料及素板砂光粉尘,用来加热导热油,为整个人造板厂生产线提供热能.其内衬里是高纯红柱石砖,在炉体正常工作时,工作面产生大量液相,流淌严重,炉腰部位红柱石砖剥落严重,个别部位炉壁铁板裸露,只好用耐火涂抹料修补.当炉体使用8个月时,因内衬侵蚀和剥落严重,炉体外壁温度过高,只好停炉进行内衬里更换.

关键词：人造板厂热油炉应用高热震稳定性耐侵蚀浇注料

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优质护理服务与护士工作积极性的关系

中国卫生产业 2013年第17期10卷 50-50,52页

作者：冯燕春兖矿集团有限公司总医院心内科山东邹城273500

目的探讨优质护理对护士工作积极性的影响。方法通过探讨优质护理服务模式和管理方式,进一步得出结论。结果开展优质护理示范工程活动后,床护比值趋于合理,有更多的护理时间用于患者,护士分工、排班更加合理,绩效奖金按劳取酬,护士工作... 详细信息

目的探讨优质护理对护士工作积极性的影响。方法通过探讨优质护理服务模式和管理方式,进一步得出结论。结果开展优质护理示范工程活动后,床护比值趋于合理,有更多的护理时间用于患者,护士分工、排班更加合理,绩效奖金按劳取酬,护士工作积极性提高,出勤率达100%;提高了工作效率,患者满意度提升,该院心内科达到99.80%。结论优质护理服务示范工程的实施对护士的工作积极性产生有益的影响。

关键词：优质护理工作积极性

浅谈民族地区中职动漫专业色彩美育的实施策略

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流行色 2020年第11期 50-51页

作者：冯艳春贵州省凯里市第一中等职业学校贵州凯里556000

本文对民族地区中职学校动漫专业课程设置、师资力量及学生现状进行分析,指出色彩美育的实施对动漫专业的重要性,并根据地域特色和学生特点等,对民族地区动漫专业实施色彩美育提出了几点可行的策略,以达到民族地区动漫专业长远发展和培... 详细信息

本文对民族地区中职学校动漫专业课程设置、师资力量及学生现状进行分析,指出色彩美育的实施对动漫专业的重要性,并根据地域特色和学生特点等,对民族地区动漫专业实施色彩美育提出了几点可行的策略,以达到民族地区动漫专业长远发展和培养更多创作型动漫人才的目的。

关键词：民族地区中职学校动漫专业审美教育人才培养