正交试验优选四臣止咳颗粒处方药材的提取工艺

目的 建立四臣止咳颗粒处方药材的最佳提取工艺。方法 以岩白菜素、甘草酸、绿原酸的提取率和浸膏得率为指标,采用正交设计优选提取工艺参数。结果 最佳工艺条件：分别用10、8倍量的60%乙醇回流提取2次,1 h/次,第1次提取前浸泡 2 h。结论 此工艺合理可行,适用于四臣止咳颗粒的提取。     

采用增量关联规则挖掘提高电子病历系统的用户体验度

该文针对电子病历系统的用户体验度不高的问题,首先用模板和文本特征化的方法对电子病历中的事务数据实现结构化;再基于增量关联规则挖掘算法对产生的结构数据进行关联规则挖掘,找出模板中各个元素的关联以及对应元素取值之间的关联,最后根据挖掘结果来指导用户的输入,从而有效提高了电子病历系统的用户体验度。     

患者对医师角色行为认知测量工具的研制

目的 构建患者对医师角色行为认知的测量工具,为了解我国患者对医师角色行为认知现状提供有效工具.方法 将患者对医师角色行为认知体验的半结构式访谈结果,结合国内外文献分析,构建患者对医师角色行为认知的初始问卷.方便抽样对上海市9家综合性医院住院患者512人开展大样本调查.通过项目分析、探索性因子分析等对问卷修订,并进行信效度检验.结果 探索性因子分析抽出3个因子共可解释总变异的61.731％,由此形成患者对医师角色行为认知测量工具的3个维度,该工具共24项条目,Cronbach's α系数为0.957,折半信度0.912.结论 患者对医师角色行为认知测量工具具有较好的信效度,可作为测量患者对医师角色行为认知的有效工具.     

Effect of Laser Heating on the Life of Cutting Tools Coated with Single- and Multilayer Coatings Containing a TiN Layer

This study proposes a novel use of laser heating to increase the adhesion between coatings fabricated by low-temperature PVD and replaceable cemented carbide cutting inserts, thus extending the life of these cutting tools in the machining of difficult-to-machine materials. Our previous studies conducted on CVD coatings showed that these coatings had higher adhesion due to a much higher process temperature. However, taking into account the fact that PVD coatings have better technological properties (e.g., lower structure porosity, higher hardness, and better tribological properties) than CVD coatings, it is fully justified to investigate ways of improving the PVD coating adhesion to the substrate. In this study, replaceable cutting inserts with different hard coatings of titanium nitride were used. Laser heating was conducted with different power densities. The adhesion strength of the tested coatings was determined via vibration spectrum analysis. In addition, 2D surface imaging, scanning electron microscopy, and X-ray fluorescence spectrometry were employed to examine the coatings after laser heating. A significant increase in the adhesion of single-layer (TiN) and double-layer (TiCN + TiN) coatings to the cemented carbide substrate, together with increased tool life, was observed after heating the samples with 40% of the maximum laser power. The application of a multilayer coating containing thermal shock-sensitive (TiAlSi) N did not increase the tool life. This paper attempts to interpret the obtained results.     

The Malnutrition Screening Tool in Geriatric Rehabilitation: A Comparison of Validity When Completed by Health Professionals With and Without Malnutrition Screening Training Has Implications for Practice

Background

The validity of the Malnutrition Screening Tool (MST) in geriatric rehabilitation has been evaluated in a research environment but not in professional practice.

基于文本挖掘技术探测胰岛淀粉样多肽的研究趋势

胰岛淀粉样多肽是2型糖尿病的重要致病原因之一.为了研究胰岛淀粉样多肽的生物学作用及其应用范围,本文拟通过文本挖掘技术来对胰岛淀粉样多肽生化用专业试剂和试剂盒检测的研究发展趋势进行探测.     

行为记录表作为婴幼儿气质评价工具的信度与效度

目的探讨贝利婴幼儿发展量表中的行为记录表作为婴幼儿气质评价工具的信度与效度。方法根据经济状况在北京地区10个远郊区县采取分层随机整群抽样的方法选取了356名2～30个月的健康婴幼儿,并对每个婴幼儿进行贝利婴幼儿发展量表测试。对其中的行为记录表结果进行相关性分析,以检验信度;进行因子分析,以检验效度。数据资料采用SPSS15．0软件包作统计学处理。结果行为记录表的Cronbach仅信度系数为0．81,表明量表内部一致性较好、信度高。因子模型适应性分析KMO值0．651,巴特利球型检验P〈0．001,表明行为记录表的结果非常适合进行因子分析。因子分析共提取出5个公因子（特征值分别为6．707、2．943、1．719、1．578、1．368）,累积方差贡献率达到69．316％,依次反映社会性、活动性、视听反应、心理活动、任务定向等5个气质维度。结论行为记录表具有良好的信度与效度,可作为婴幼儿气质评价工具在临床上使用。     

Machine Learning Approaches for Monitoring of Tool Wear during Grey Cast-Iron Turning

The dynamic development of new technologies enables the optimal computer technique choice to improve the required quality in today’s manufacturing industries. One of the methods of improving the determining process is machine learning. This paper compares different intelligent system methods to identify the tool wear during the turning of gray cast-iron EN-GJL-250 using carbide cutting inserts. During these studies, the experimental investigation was conducted with three various cutting speeds vc (216, 314, and 433 m/min) and the exact value of depth of cut a_p and federate f. Furthermore, based on the vibration acceleration signals, appropriate measures were developed that were correlated with the tool condition. In this work, machine learning methods were used to predict tool condition; therefore, two tool classes were proposed, namely usable and unsuitable, and tool corner wear VBc = 0.3 mm was assumed as a wear criterium. The diagnostic measures based on acceleration vibration signals were selected as input to the models. Additionally, the assessment of significant features in the division into usable and unsuitable class was caried out. Finally, this study evaluated chosen methods (classification and regression tree, induced fuzzy rules, and artificial neural network) and selected the most effective model.     

数据挖掘技术在医院信息系统的统计分析与决策中的应用

数据仓库和数据挖掘技术是信息技术领域的新兴技术,而如何应用到医院的信息化建设中是医院信息系统（HIS）面临的问题。建立基于HIS的数据仓库并使用数据挖掘技术,可以将大量源数据有效地转化为有用的知识信息,并服务于决策过程。本文结合医院医疗业务提出了系统实现的解决方案,并给出了基于医院医疗业务数据仓库的体系结构和逻辑模型,以及基于医院医疗业务的数据挖掘技术应用方法。