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| 1 | Post-marketing safety surveillance and reevaluation of Motherwort injection:A clinical study of 10094 cases显示文摘OBJECTIVE:To investigate the safety profiles of Motherwort injection(MI).METHODS:A multi-center,prospective and drugderived hospital intensive monitoring method was conducted to assess the safety of MI in real world applications.This study was based on a very large population after the injection was approved and marketed in China.All patients using the injection in participating hospitals were monitored to determine the incidence,pattern,severity and outcome of associated adverse events.RESULTS:The post-marketing surveillance was performed in 10 094 female patients from April to December,2015.The incidence of adverse drug reactions(ADRs) was 0.79‰(8/10 094).Among the 8 patients,the reported adverse events mainly included systemic abnormalities,such as fever,chills and eyelid edema;skin and appendages disorders,such as pruritus and rash;gastrointestinal disorders,such as nausea,abdominal distension and pain;heart rate and rhythm disorders,such as palpitation and increased heart rate.All of these ADRs were mild in severity.CONCLUSION:In this study the ADRs incidence rate of MI is very low,which supports that it is generally safe for use in obstetric and gynecological diseases.However,the total number of 8 ADRs recorded over a relatively short time span seems limited,and the low number of reports could not represent an absolute guarantee of safety. | Cao Shan Zhang Wenhao Zhao Ziwei Heng Mingli Bu Huaien Wang Hongwu Liu Xinghui Wang Zhong Cai Yan Ma Yuyan Cui Shihong Deng Jihong Ding Guifeng Ding Yajuan Dong Linhong Duan Zhentao Fan Ling Fan Yang Fu Fen He Jing Ji Shuying Jin Lin Li Hong Li Hongying Liao Tao Lu Wei Luo Xiucui Lü Zhihui Ma Fengchun Ma Dafeng Shi Tianyun Sun Juying Sun Xiaotong Teng Hong Wang Jinhua Wang Ruihua Wang Ying Wang Zhengling Xi Jie Xu Minjuan Xu Zhihong Yan Qian Yang Cuirong Yang Yimei Yin Jie Yu Jinhua Yuan Wenjun Zhang Guanli Zhang Meihua Zhao Renfeng Zhong Yonghong Zhou Jian | 2018 | Journal of Traditional Chinese Medicine2018，38，4： | 4 |
| 2 | Carboxymethyl chitosan as a polyampholyte mediating intrafibrillar mineralization of collagen via collagen/ACP self-assembly显示文摘The significant role of the polyelectrolytic nature of non-collagenous proteins (NCPs) in regulating the in vivo mineralization of collagen provides important insights for scientists searching for analogues of NCPs to achieve in vitro collagen mineralization. Polyampholyte carboxymethyl chitosan (CMC) has both carboxyl and amino groups, which allows it to act as a cationic or anionic polyelectrolyte below or above its isoelectric point (IP), respectively. In this study, CMC was employed as the analogue of NCPs to stabilize amorphous calcium phosphate (ACP) under acidic conditions (pH < 3.5) via the formation of CMC/ACP nanocomplexes. In the presence of both ACP nanoparticles and acid collagen molecules, ACP nanoparticles could be integrated into collagen fibrils during the process of collagen self-assembly and achieve intrafibrillar mineralization of collagen in vitro (i.e., synchronous self-assembly/mineralization (SSM) of collagen). This mode of mineralization is different from established mechanisms in which mineralization follows the self-assembly (MFS) of collagen. Thus, SSM provides a new strategy for developing materials from mineralized collagen scaffolds. | Mingli Lin Huanhuan Liu Jingjing Deng Ran An Minjuan Shen Yanqiu Li Xu Zhang | 2019 | Journal of Materials Science & Technology2019，35，9： | 4 |
| 3 | Two-dimensional bandwidth problem for graph products显示文摘 | Wang Minjuan Lin Yixun | 1996 | J Mathematical Study1996，，3： | 1 |
| 4 | Cloning and Bioinformatics Analysis of PsSFBB Gene in Xinjiang Pear显示文摘[Objective] This study aimed to clone the PsSFBB gene from Xinjiang pear for bioinformatics analysis.[Method] PsSFBB gene was cloned from anthers of Qipan pear by using RT-PCR and RACE technologies for bioinformatics analysis.[Result] A SFBB6-α gene with a full-length of 1 231 bp was cloned and named PsSFBB6-α(Genbank accession number:EU909685).PsSFBB6-α gene encodes a protein of 378 amino acids,with an F-box motif composed of about 50 amino acids in the N-terminal.According to the bioinformatics analysis,the molecular formula of PsSFBB6-α protein is C2000H3034N517O558S23,with relative molecular mass of 43 987.5 and isoelectric point of 6.02,and the secondary structure is dominated by α-helices;theoretically,the half life period is 30 h and the instability parameter is 55.21,so PsSFBB6-α protein is an instable protein;in addition,it is predicted that PsSFBB6-α protein is a hydrophilic and non-secreted protein with lyases activity and specifically recognized substrates,which was consistent with the function of F-box protein.[Conclusion] This study laid the foundation for further research on SFBB proteins and the mechanism of self-incompatibility and provided theoretical basis for breeding of self-compatible cultivars of Xinjiang pear and scientific arrangement of pollination trees in production to increase the yield and quality. | Shengli XU Xiaoqing CHEN Minjuan LIN Jiangbo WANG Jianping BAO Danna LIANG Jingjing WANG Beibei TIAN | 2012 | Agricultural Biotechnology2012，1，1： | 1 |
| 5 | A Big Data Based Dynamic Weight Approach for RFM Segmentation显示文摘Using the RFM(Recency,Frequency,Monetary value)model can provide valuable insights about customer clusterswhich is the core of customer relationship management.Due to accurate customer segment coming from dynamic weighted applications,in-depth targeted marketing may also use type of dynamic weight of R,F and M as factors.In this paper,we present our dynamic weighted RFM approach which is intended to improve the performance of customer segmentation by using the factors and variations to attain dynamic weights.Our dynamic weight approach is a kind of Custom method in essential which roots in the understanding of the data set.Firstly,Analytic Hierarchy Process is used to calculate the subjective weight,then the entropy method is applied to calculate the objective weight.Finally,we use comprehensive integration weighting method to combine the subjective and objective weight to obtain the final weight of the index to calculate the individual user value and quantify the user value difference.The experiment shows that the dynamic weight we used in RFM model is vital,affects the customer segmentation performance positively.Also,this study indicates that customer segments containing dynamic weighted RFM scores bring about stronger and more accurate association rules for the understanding of customer behavior.At last,we discuss the limitations of RFM analysis. | Lin Lang Shuang Zhou Minjuan Zhong Guang Sun Bin Pan Peng Guo | 2023 | Computers, Materials & Continua2023，，2： | 0 |
| 6 | Maximizing the linear and nonlinear optical responses of alkaline tricyanomelaminate显示文摘High-performance bi-functional materials are in urgent demand for the next-generation integrated optical devices.In this work,we successfully synthesized the first tricyanomelaminate with bi-functional optical responses,namely Cs_(3)C_(6)N_(9)•H_(2)O(I),from its analogue Na_(3)C_(6)N_(9)•3H_(2)O by a facile ion exchange method.In contrast to Na_(3)C_(6)N_(9)•3H_(2)O,I realizes an optimal arrangement of��π-conjugated(C_(6)N_(9))3−anion groups in its crystal structure.As a result,the second-order nonlinear optical(NLO)response is greatly enhanced from nearly zero of Na_(3)C_(6)N_(9)•3H_(2)O to∼9.8×KH_(2)PO_(4)of I.Furthermore,I exhibits a giant linear optical anisotropic response(i.e.birefringence)of 0.52 at the wavelength of 550 nm.Both responses are almost the largest among the inorganic compounds ofπ-conjugated rings,which indicates that I has great potential as a bi-functional optical crystal.Structural and theoretical analyses reveal the microscopic origin of excellent optical properties.This work would attract a lot of interest to the persistently neglected potential of tricyanomelaminates as linear optical and NLO crystals. | Yanqiang Li Qingchen Wu Zheshuai Lin Youchao Liu Yang Zhou Xin Chen Minjuan Li Maochun Hong Junhua Luo Sangen Zhao | 2023 | Fundamental Research2023，3，6： | 0 |
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