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Pharmacovigilance guidelines for clinical application of Chinese patent medicines for mucosal administration

Zhongguo Zhongyao Zazhi 2024年第16期49卷 4291-4297页

作者： Zhao x.-x. Hua H. li Y.-Y. Wang Z.-F. liu F.-M. Wei R.-l. Cui x. Yang S. Wang l.-x. xie Y.-M. Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical Sciences Beijing 100700 China Graduate School Tianjin University of Traditional Chinese Medicine Tianjin 301617 China School and Hospital of Stomatology Peking University Beijing 100034 China

The group standard Pharmacovigilance guidelines for clinical application of Chinese patent medicines for mucosal administration was released on January 16, 2024, on the national group standards information platform by the Institute of Basic Research in Clinical Medicine of China Academy of Chinese Medical Sciences and School and Hospital of Stomatology of Peking University, under the centralized management by the China Association of Chinese Medicine. The standard number is T / CACM 1563. 6-2024. It aims to propose key elements and specify technical methods for safety monitoring and reporting, signal identification, risk assessment, and risk control based on the Drug administration law of the People ' s Republic of China (revised in 2019), which establishes normative pharmacovigilance guideline of Chinese patent medicine for mucosal administration that is in line with the characteristics of traditional Chinese Medicine (TCM) based on the pharmacovigilance content for clinical application of Chinese patent medicine for mucosal administration. The group standard has been discussed by internal and external experts through multiple rounds of consultation. It serves as a guiding document for stakeholders involved in pharmacovigilance activities, including pharmaceutical license holders, drug manufacturers, medical institutions, research institutes, and pharmaceutical trading enterprises. © 2024 Zhongguo Zhongyi Yanjiuyuan. All rights reserved.

关键词： Chinese patent medicines for mucosal administration group standard guideline pharmacovigilance traditional Chinese medicine

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环南极帝企鹅栖息地数据集(2000,2014,2018)

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全球变化数据学报（中英文） 2020年第3期4卷 217-223,217-223页

作者：张淼李香兰北京师范大学全球变化与地球系统科学研究院北京100875 中国高校极地联合研究中心北京100875

帝企鹅被视为南极气候变化的"生物指示剂",而帝企鹅栖息地的准确位置是分析气候变化对帝企鹅影响的基础。作者参考2009年及近年的环南极帝企鹅栖息地信息,基于2000、2014、2018年landsat-7 ETM+和landsat-8 OlI数据,合成真彩色影像,通... 详细信息

帝企鹅被视为南极气候变化的"生物指示剂",而帝企鹅栖息地的准确位置是分析气候变化对帝企鹅影响的基础。作者参考2009年及近年的环南极帝企鹅栖息地信息,基于2000、2014、2018年landsat-7 ETM+和landsat-8 OlI数据,合成真彩色影像,通过目视解译帝企鹅粪便所在区域,得到环南极帝企鹅栖息地分布数据集(2000,2014,2018)。该数据集内容包括2000、2014和2018年的以下数据:(1)帝企鹅栖息地位置数据,包括环南极所有栖息地位置数据,存储为点和面两种类型;(2)提取帝企鹅栖息地使用的landsat影像名称。数据集存储为.xlsx和.shp格式,数据量为142 KB。

关键词：帝企鹅南极 landsat 遥感识别栖息地

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地理空间数据相似度计算方法研究与实现

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全球变化数据学报（中英文） 2022年第4期6卷 501-512,V0501-V0512页

作者：代小亮诸云强杨杰孙凯李吉东宋佳中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室北京100101 中国科学院大学北京100049 江苏省地理信息协同创新中心南京210023 东营市生态环境局东营257091

地理空间数据相似度计算是数据智能推荐与发现的关键技术之一。现有地理空间数据相似度计算方法可分为基于文件信息、元数据或数据实体的方法,这些方法各有优缺点,但仅用其中一类信息进行相似度的计算,往往会存在信息项缺失而导致计算... 详细信息

地理空间数据相似度计算是数据智能推荐与发现的关键技术之一。现有地理空间数据相似度计算方法可分为基于文件信息、元数据或数据实体的方法,这些方法各有优缺点,但仅用其中一类信息进行相似度的计算,往往会存在信息项缺失而导致计算结果不准或计算量大等问题,进而影响数据相似度的应用价值。为充分发挥各类方法的优点,本文提出了一种集成文件信息、元数据、数据实体三个层次的地理空间数据相似度计算方法,并开发了相应的软件,可根据地理空间数据的实际情况,有效提升地理空间数据相似度的计算精度和效率。

关键词：地理空间数据数据相似度计算方法软件

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Amplitude analysis of the decays D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)

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Chinese Physics C 2024年第8期48卷 6-33页

作者： M.Ablikim M.N.Achasov P.Adlarson O.Afedulidis x.C.Ai R.Aliberti A.Amoroso Q.An Y.Bai O.Bakina I.Balossino Y.Ban H.-R.Bao V.Batozskaya K.Begzsuren N.Berger M.Berlowski M.Bertani D.Bettoni F.Bianchi E.Bianco A.Bortone I.Boyko R.A.Briere A.Brueggemann H.Cai x.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.F.Chang W.l.Chang G.R.Che G.Chelkov C.Chen C.H.Chen Chao Chen G.Chen H.S.Chen M.l.Chen S.J.Chen S.l.Chen S.M.Chen T.Chen x.R.Chen x.T.Chen Y.B.Chen Y.Q.Chen Z.J.Chen Z.Y.Chen S.K.Choi x.Chu G.Cibinetto F.Cossio J.J.Cui H.l.Dai J.P.Dai A.Dbeyssi R.E.de Boer D.Dedovich C.Q.Deng Z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori B.Fang S.S.Fang W.x.Fang Y.Fang Y.Q.Fang R.Farinelli l.Fava F.Feldbauer G.Felici C.Q.Feng J.H.Feng Y.T.Feng K.Fischer M.Fritsch C.D.Fu J.l.Fu Y.W.Fu H.Gao Y.N.Gao Yang Gao S.Garbolino I.Garzia P.T.Ge Z.W.Ge C.Geng E.M.Gersabeck B.Ding x.x.Ding Y.Ding Y.Ding J.Dong l.Y.Dong M.Y.Dong x.Dong M.C.Du S.x.Du Z.H.Duan P.Egorov Y.H.Fan J.Fang JA.Gilman K.Goetzen l.Gong W.x.Gong W.Gradl S.Gramigna M.Greco M.H.Gu Y.T.Gu C.Y.Guan Z.l.Guan A.Q.Guo l.B.Guo M.J.Guo R.P.Guo Y.P.Guo A.Guskov J.Gutierrez K.l.Han T.T.Han x.Q.Hao F.A.Harris K.K.He K.l.He F.H.Heinsius C.H.Heinz Y.K.Heng C.Herold T.Holtmann P.C.Hong G.Y.Hou x.T.Hou Y.R.Hou Z.l.Hou B.Y.Hu H.M.Hu J.F.Hu T.Hu Y.Hu G.S.Huang K.x.Huang l.Q.Huang x.T.Huang Y.P.Huang T.Hussain F.H\"olzken N.H\"usken N.in der Wiesche M.Irshad J.Jackson S.Janchiv J.H.Jeong Q.Ji Q.P.Ji W.Ji x.B.Ji x.l.Ji Y.Y.Ji x.Q.Jia Z.K.Jia D.Jiang H.B.Jiang P.C.Jiang S.S.Jiang T.J.Jiang x.S.Jiang Y.Jiang J.B.Jiao J.K.Jiao Z.Jiao S.Jin Y.Jin M.Q.Jing x.M.Jing T.Johansson S.Kabana N.Kalantar-Nayestanaki x.l.Kang x.S.Kang M.Kavatsyuk B.C.Ke V.Khachatryan A.Khoukaz R.Kiuchi O.B.Kolcu B.Kopf M.Kuessner x.Kui A.Kupsc W.K\"uhn J.J.lane P.larin l.lavezzi T.T.lei Z.H.lei H.leithoff M.lellmann T.lenz C.li C.li C.H.li Cheng li D.M.li F.li G.li H.li H.B.li H.J.li H.N.li Hui li J.R.li J.S.li K.li l.J.li l.K.li lei li M.H.li P.R.li Q.M.li Q.x.l. R.li S.x.l. T.li W.D.li W.G.li x.l. x.H.li x.l.li x.Y.li Y Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China Beihang University Beijing 100191China Bochum Ruhr-University D-44780 BochumGermany Budker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia Carnegie Mellon University PittsburghPennsylvania 15213USA Central China Normal University Wuhan 430079China Central South University Changsha 410083China China Center of Advanced Science and Technology Beijing 100190China China University of Geosciences Wuhan 430074China Chung-Ang University Seoul06974Republic of Korea COMSATS University Islamabad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan University Shanghai 200433China GSI Helmholtzcentre for Heavy Ion Research GmbH D-64291 DarmstadtGermany Guangxi Normal University Guilin 541004China Guangxi University Nanning 530004China Hangzhou Normal University Hangzhou 310036China Hebei University Baoding 071002China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan Normal University Xinxiang 453007China Henan University Kaifeng 475004China Henan University of Science and Technology Luoyang 471003China Henan University of Technology Zhengzhou 450001China Huangshan College Huangshan 245000China Hunan Normal University Changsha 410081China Hunan University Changsha 410082China Indian Institute of Technology Madras Chennai 600036India Indiana University BloomingtonIndiana 47405USA INFN laboratori Nazionali di Frascati INFN Laboratori Nazionali di FrascatiI-00044FrascatiItaly INFN laboratori Nazionali di Frascati INFN Sezione di PerugiaI-06100PerugiaItaly INFN laboratori Nazionali di Frascati University of PerugiaI-06100PerugiaItaly INFN Sezione di Ferrara INFN Sezione di FerraraI-44122FerraraItaly INFN Sezione di Ferrara University of FerraraI-44122FerraraItaly Inner Mongolia University Hohhot 010021China Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Avenue 54BUlaanbaatar 13330Mongolia Instituto de A

Using e^(+)e^(−)annihilation data corresponding to an integrated luminosity of 2.93 fb^(−1)taken at the center-of-mass energy√s=3.773 GeV with the BESIII detector,a joint amplitude analysis is performed on the decays D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η).The fit fractions of individual components are obtained,and large interferences among the dominant components of the decays D^(0)→a_(1)(1260)π,D^(0)→π(1300)π,D^(0)→ρ(770)ρ(770),and D^(0)→2(ππ)_(S)are observed in both *** the obtained amplitude model,the CP-even fractions of D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are determined to be(75.2±1.1_(stat).±1.5_(syst.))%and(68.9±1.5_(stat).±2.4_(syst.))%,*** branching fractions of D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are measured to be(0.688±0.010_(stat.)±0.010_(syst.))%and(0.951±0.025_(stat.)±0.021_(syst.))%,*** amplitude analysis provides an important model for the binning strategy in measuring the strong phase parameters of D^(0)→4πwhen used to determine the CKM angleγ(ϕ_(3))via the B^(−)→DK^(−)decay.

关键词： BESIII D^(0)meson decays amplitude analysis CP-even fraction

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Pharmacovigilance guidelines of Chinese patent medicines

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Zhongguo Zhongyao Zazhi 2024年第16期49卷 4261-4265页

作者： Wang l.-x. Wang M.-M. li Y.-Y. Wang Z.-F. Cui x. Zhao x.-x. liu F.-M. Yang S. Wei R.-l. Wang Y.-x. Zhang B. xie Y.-M. Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical Sciences Beijing 100700 China Beijing University of Chinese Medicine Beijing 100029 China

Drug administration law of the People′s Republic of China (2019 revised edition), which came into effect on December 1, 2019, proposed that " the state shall establish a pharmacovigilance system" . Pharmacovigilance work of Chinese patent medicines is more difficult, and it is necessary to carry out Pharmacovigilance activities that are in line with the characteristics of Chinese patent medicines. Pharmacovigilance guidelines of Chinese patent medicines (T / CACM 1563. 1-2024), based on the principles of Drug Administration law of the People′ s Republic of China (2019 revised edition) and Pharmacovigilance quality management standards (No. 65 of 2021) of the National Medical Products Administration, draws on the EU Pharmacovigilance regulation and the secondary guidelines of International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH), and it is drafted in accordance with the provisions of Guidelines for standardization work part 1: structure and drafting rules of standardization documents (GB / T1. 1-2020) based on the characteristics of Chinese patent medicines. It serves as a general document for a series of pharmacovigilance guidelines of Chinese patent medicines, such as Guidelines for construction of traditional Chinese medicine pharmacovigilance system in medical institutions (T / CACM 1563. 2-2024), Pharmacovigilance guidelines for clinical application of oral Chinese patent medicines (T / CACM 1563. 3-2024), Pharmacovigilance guidelines for clinical application of traditional Chinese medicine injections (T / CACM 1563. 4-2024), Pharmacovigilance guidelines for clinical application of Chinese patent medicines for external use (T / CACM 1563. 5-2024), and Pharmacovigilance guidelines for clinical application of Chinese patent medicines for mucosal administration (T / CACM 1563. 6-2024), including four major elements of pharmacovigilance monitoring and reporting of Chinese patent medicines, signal identification, ri

关键词： Chinese patent medicine group standard guideline pharmacovigilance safe drug use

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Research on the Performance of Different Nd-Doped GdVO4 lasers

Research on the Performance of Different Nd-Doped GdVO4 Lase...

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RadTech Asia 2005

作者： xu H. Zh., Qin l.J., Gao Y., Meng x.l., Jia Y.G. and Wang B.College of Envir. and Mater. Engineering, Yantai Univer., Yantai, 264005 National lab. of Cryst.l Mater., Shandong Unive., Jinan 250100

＜正＞ With GdVO4 crystals samples doped Nd ion concentrations of 0.52, 0.78, 1.14, 1.61 at.%, laser were performed under high pumping power of laser diode at 1.06,1.34 urn and 532, 671 nm. The crystal growth and the influence on the laser output properties of different Nd-doped concentrations in Nd:GdVO4 crystals had been discussed. Our experimental results show that the optimum Nd-doped concentration in Nd:GdVO4 crystal is no more than 1 at.% under a pumping power of 30 W.

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Dynamic Stress Concentration around Elliptic Cavities in Saturated Poroelastic Soil under Harmonic Plane Waves

Dynamic Stress Concentration around Elliptic Cavities in Sat...

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作者： WANG J.H.~1,ZHOU x.l.~1,lU J.F.~2 (1 Department of Civil Engineering,Shanghai Jiao Tong University,Shanghai 200030,China 2 College of Mathematics and Physics,Jiangsu University,Zhenjiang,Jiangsu 212013,China)

Potential function and complex function in the elliptic coordinate system are employed to solve the problem of scattering harmonic SH waves by multiple elliptic cavities in water saturated soil *** steady state Biot’s dynamic equations of poroelasticity are uncoupled into Helmholtz equations via given potentials. The stresses and pore water pressures are obtained by using complex functions in elliptic coordinates with certain boundary ***,the dynamic stresses for the case of two interacting elliptic cavities are obtained and discussed in details via a numerical example.

关键词： saturated soil elliptic cavities SH wave complex function helmholtz equation

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A Pooling Method Developed for Use in Convolutional Neural Networks

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 751-770页

作者： Ìsmail Akgül Departmant of Computer Engineering Faculty of Engineering and ArchitectureErzincan Binali Yıldırım UniversityErzincan24002Turkiye

In convolutional neural networks,pooling methods are used to reduce both the size of the data and the number of parameters after the convolution of the *** methods reduce the computational amount of convolutional neural networks,making the neural network more *** pooling,average pooling,and minimum pooling methods are generally used in convolutional neural ***,these pooling methods are not suitable for all datasets used in neural network *** this study,a new pooling approach to the literature is proposed to increase the efficiency and success rates of convolutional neural *** method,which we call MAM(Maximum Average Minimum)pooling,is more interactive than other traditional maximum pooling,average pooling,and minimum pooling methods and reduces data loss by calculating the more appropriate pix.l.*** proposed MAM pooling method increases the performance of the neural network by calculating the optimal value during the training of convolutional neural *** determine the success accuracy of the proposed MAM pooling method and compare it with other traditional pooling methods,training was carried out on the leNet-5 model using CIFAR-10,CIFAR-100,and MNIST *** to the results obtained,the proposed MAM pooling method performed better than the maximum pooling,average pooling,and minimum pooling methods in all pool sizes on three different datasets.

关键词： Pooling convolutional neural networks deep learning

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A Proteomics-Based Strategy to Establish Antibody Bank for Human liver Proteomics

A Proteomics-Based Strategy to Establish Antibody Bank for H...

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中国蛋白质组学首届学术大会

作者： Y.N. xue, x.l. liu, Y.S. Qu, l.H. Wang, l. Zhao, Y. Chen, F.W. Cai, H. li, x.M. Du, Y.F. Cui, J.l. Wang, x.H. Qian, F.C. He, M. li, and Q.H. Sun (Beijing Institute of Radiation Medicine, Beijing the First Military Medical University, Guangzhou United Antibody Center, Shanghai, China)

As only a fraction of antibodies appear to behave satisfactorily in the chip format for global proteomeanalysis, the urgent need for antibodies to detect the proteome or parts of the proteome in a microarray formatplaces tremendous emphasis on new approaches for faster generation of large bank of well-characterized andhighly qualified antibodies. The purpose of the present studies was to generate and characterize murine mono-clonal antibodies (mAbs) against human liver proteins by a proteomics-based strategy using fractionations ofunknown and native proteins as the immunogens. About 15-30 hybridoma lines could be established from a

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全球变化数据共享上合组织合作座谈会在中科院地理资源所举行

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全球变化数据学报（中英文） 2017年第3期1卷 134-134,382页

作者：何小雷石瑞香中国-上海合作组织环境保护合作中心北京100029 中国科学院地理科学与资源研究所北京100101

2017年9月19日下午,来自白俄罗斯、吉尔吉斯斯坦的15位官员在中国-上海合作组织环境保护合作中心何小雷先生陪同下,在中国科学院地理科学与资源研究所2602会议室与《全球变化数据学报》(中英文)编辑部工作人员进行了座谈。座谈会上,中... 详细信息

2017年9月19日下午,来自白俄罗斯、吉尔吉斯斯坦的15位官员在中国-上海合作组织环境保护合作中心何小雷先生陪同下,在中国科学院地理科学与资源研究所2602会议室与《全球变化数据学报》(中英文)编辑部工作人员进行了座谈。座谈会上,中科院地理资源所研究员、全球变化科学研究数据出版系统主编、《全球变化数据学报》(中英文)执行副主编刘闯博士做了题目为"全球变化数据.

关键词：地理资源所中国科学院数据共享数据出版上合组织全球变化科学上海合作组织资源研究所

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