中医药标准检索和辅助分析方法的研究

目的 针对中医药标准存在着交叉重叠、矛盾、翻译不一致等协调性差的问题,提出一种实用的中医药标准的检索与比对分析方法和系统.方法 通过中医药标准中术语关系的分析、术语定义文字的比对,设计和实现了一个中医药标准检索和分析方法和辅助系统.结果 通过具体的实验,能够有效地发现中医药标准中的术语定义、翻译的不一致性,为中医药标准的检索和比对分析提供了较好的辅助手段.结论 本研究设计的多标准数据分析、多关系分析方法、术语定义分析方法,具有较好的实用性,可为中医药标准检索和研究提供支持.     

实地考察美国太平洋东方医学院见闻

笔者实地考察了美国规模较大的中医药学校太平洋东方医学院。本文从学校概况、教学模式和内容、出版物及图书馆方面进行详细介绍,以利于人们更深入地了解美国中医药教育情况。     

Preparation of no carrier added fluorine-18 labeled 16-fluorohexadecanoic and fluoroacetic acids from highly reactive tetraethylammonium [18F]fluoride

No carrier added tetraethylammonium [¹⁸F]fluoride prepared via synthesis and hydrolysis of fluorotrimethylsilane was reacted with methyl 16-iodohexadecanoate in acetonitrile. At 80°C, yields of up to 80% were found with reaction times of 20–30 min. As would be expected for fluoride-for-iodide exchange, reactions were slower than previously-reported cyclic sulfate and triflate displacements. TLC and reverse-phase HPLC indicated that a single pure radioactive product was formed, which was hydrolyzed with alkali to the free acid. NMR spectroscopy of a carrier added preparation was consistent with assignment as 16-fluorohexadecanoic acid and no rearrangement to the 15-fluoro compound. [¹⁸F]Fluoroacetic acid was prepared analogously in high yield from ethyl iodoacetate.The results are discussed in terms of guidelines for syntheses of other ¹⁸F compounds and of the properties of near anhydrous tetraethylammonium fluoride in acetonitrile.     

Radiolabelling with organomercury compounds—III. High specific activity synthesis of [131I]6-iodo-androsten-5-enes and [131I]6-iodo-pregnen-5-enes

The synthesis of [¹³¹I]6-iodoandrost-5-en-3β,17β-diol, [¹³¹I]6-iodoandrost-5-en-3β-ol,17-one, [¹³¹I]6-iodopregn-5-en-3β-ol-20-one and [¹³¹I]6-iodopregn-5-en-3β,20-diol has been carried out. The synthetic route was based on the corresponding 6-chloromercury derivatives prepared by direct mercuration of the parent steroids. The chloromercury compounds provided a simple high yield method for labelling these steroids with radioiodines. In addition the method gives products with “no-carrier-added” specific activity. The “cold chemistry” of the 6-chloromercury steroids was also examined and they were readily transformed into the corresponding 6-iodo and 6-bromo-steroids. All compounds were extensively characterized by proton and carbon magnetic resonance spectroscopy. The stability of these 6-halo-steroids is very good and is similar to that found for 6-halo-cholesterols. A preliminary tissue distribution study of these “no-carrier-added” [¹³¹I]6-iodo-steroids shows very rapid adrenal uptake with peak values occurring at less than 15 min.     

基于表面肌电图的人体运动意图识别研究进展

目的 分析基于表面肌电图人体运动意图识别的研究方法和识别效果.方法 检索PubMed、Web of Science、中国知网、万方数据、维普数据库建库至2020年12月文献,筛选基于表面肌电图的人体运动意图识别实验研究,提取相关数据,进行描述性分析.结果 根据采用的方法,运动意图识别可分为3类:基于肌肉骨骼模型的运动意...     

基于深度学习的肺腺癌肿瘤突变负荷的预测

肿瘤突变负荷(TMB)与非小细胞肺癌(NSCLC)的免疫治疗疗效呈正相关,并且在近期的相关研究中,肿瘤突变负荷对靶向治疗及化疗的疗效也有一定的预测作用.因此,提出一种融合注意力机制的Inception深度学习模型(CAIM),用于对TCGA数据库中的非小型细胞肺癌中的肺腺癌的病理切片进行识别.首先,对数据样本进行切分,...     

中药保健食品原料肝毒性预测研究

目的：开发一种更优的评估中药肝毒性的方法,为中药保健食品原料安全性评价提供参考。方法：基于国际公开构建肝毒性定量构效关系（QSAR）模型训练集数据,形成训练集。使用Discovery Studio 4.5对训练集进行主成分分析和聚类分析,针对每一类使用朴素贝叶斯（NB）、逻辑回归（LR）、邻近算法（KNN）等9种机器学习的方法构建QSAR模型,并利用交叉验证方法对模型构建方法进行评估。最后使用最优类模型对113种中药保健食品原料包含的783个成分进行了预测,根据多模型加权平均概率筛选出肝毒性成分占比较大的中药。结果：根据对训练集化合物的分析,可以看出第3类模型的准确率为85%～91%,高于现有报道的中药成分肝毒性预测模型。对中药保健食品原料成分的分析发现肝毒性化合物48个、不具有肝毒性的化合物735个,肝毒性预测概率为0.15～0.30,说明中药保健食品原料肝毒性普遍较低。预测肝毒性成分所占比例较高的中药有茜草、番泻叶、当归、大黄、丹参、厚朴、川芎、桑枝、桑白皮、五味子等。结论：对训练集预先聚类,提高QSAR模型准确率,为中药安全性评价的方法学研究提供了新思路,为中药保健食品原料成分进...