基于知识图谱的药品联用建模及风险评价

目的:根据临床用药实践中的药品联用模式构建知识图谱模型,从而自动化地评价药品联用风险。方法:基于海量处方用药大数据,采用知识图谱建模方法,构建概率图模型,并利用子图搜索算法进行药品联用风险评价。结果:在某三甲医院门诊妇科的59703条真实用药处方中,随机挑选30%数据作为测试集,得到药品联用风险预测准确率达98.3%,能够有效识别合理药品联用模式。结论:基于处方大数据构建的药品联用知识图谱模型能准确地对药品联用风险进行评估,可降低人工成本,减轻药师负担,为临床药事管理提供决策依据,提高联合用药的安全性

离子辐照对Zr_(50.7)Cu_(28)Ni_9Al_(12.3)非晶合金力学性能的影响

非晶合金有潜力成为新一代核材料,离子辐照对其力学性能的影响决定了其使用价值。在不同剂量的Au离子辐照下,探讨了Zr_(50.7)Cu_(28)Ni_9Al_(12.3)非晶合金力学性能的变化过程。原子力显微镜以及正电子湮没寿命谱分析表明,在离子辐照后,非晶合金的自由体积尺寸增大、密度下降,总自由体积增加。透射电子显微镜分析表明,辐照剂量在达到50 dpa时非晶合金开始有纳米晶析出,随着辐照剂量的增加,纳米晶尺寸在增加、密度变大。纳米压痕试验表明,离子辐照后非晶合金的硬度减小,在高剂量时硬度又有增加的趋势。离子辐照下非晶合金的硬度变化是自由体积以及纳米晶竞争的结果。自由体积使非晶合金软化,纳米晶析出使非晶合金硬化

阳离子脂质体基因载体的细胞转染研究

研究阳离子脂质体在不同细胞中的转染效率及毒性。首先采用DNA延滞实验研究Lipofectamine2000、DOTAP转染试剂与DNA的结合能力。然后选用绿色荧光蛋白的质粒pGFP-N2作为报告基因模型和转染试剂制成复合物后转染Hela、7721、HT29细胞，比较多种因素对转染的影响。最后使用MTT比色法分析Lipofectamine2000、DOTAP转染试剂对细胞的毒性。随着复合物中转染试剂比例的增加，Lipofectamine2000、DOTAP与DNA结合能力逐渐增强。Lipofectamine2000在Hela细胞转染最高效率约72％；在7721、HT29细胞转染效率较低。DOTAP在3种细胞的转染效率都很低；在转染效率最高时2种转染试剂的细胞存活率均在90％以上。对商品化的转染试剂研究和讨论以期为阳离子类脂非病毒载体的研究提供参考

阳离子脂质体基因载体的细胞转染研究

研究阳离子脂质体在不同细胞中的转染效率及毒性。首先采用DNA延滞实验研究Lipofectamine2000、DOTAP转染试剂与DNA的结合能力。然后选用绿色荧光蛋白的质粒pGFP-N2作为报告基因模型和转染试剂制成复合物后转染Hela、7721、HT29细胞，比较多种因素对转染的影响。最后使用MTT比色法分析Lipofectamine2000、DOTAP转染试剂对细胞的毒性。随着复合物中转染试剂比例的增加，Lipofectamine2000、DOTAP与DNA结合能力逐渐增强。Lipofectamine2000在Hela细胞转染最高效率约72％；在7721、HT29细胞转染效率较低。DOTAP在3种细胞的转染效率都很低；在转染效率最高时2种转染试剂的细胞存活率均在90％以上。对商品化的转染试剂研究和讨论以期为阳离子类脂非病毒载体的研究提供参考

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies