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关键词： 新型农村合作医疗   公共服务   合同外包   承办模式  

摘要： 在新公共管理改革过程中,公共服务合同外包作为一种有效形式,已经在国外广泛应用,并在国内开始尝试。新型农村合作医疗在开办过程中也出现许多经办管理模式,新乡市利用公共服务合同外包引入商业保险进行承办的模式值得借鉴。我国利用公共服务合同外包形式承办新农合,仍需要进行进一步的深化和探索。

关键词： 叉车   充气轮胎   花纹深度  

摘要： 叉车轮胎性能影响叉车使用的安全性,本文主要就叉车中使用较多的充气轮胎的性能、轮胎花纹和花纹深度的研究分析,以及结合叉车的检验规程的对充气轮胎的要求,谈谈叉车定期检验中的注意点。

关键词： 检验科   医院   感染  

摘要： 本文就检验科在医院感染控制工作中的相关作用展开了探讨。

关键词： 计价货币选择   交易成本   市场需求   工具货币   宏观经济政策  

摘要： 计价货币的选择是促进一国货币实现国际化的重要因素。本文在对主要研究进展进行综述的基础上,力图从国际经济贸易的交易成本、商品的海外市场需求、工具货币的选用和宏观经济政策的实施几个方面对货币计价的理论进行一个全方位的梳理,以期对人民币国际化的相关研究做出一定程度的理论参考。

关键词： 备用信用证   受益人   开证行   银行保函   担保函  

摘要： 银行保函和备用信用证作为国际结算和担保的重要形式,都是为了解决交易双方因缺乏了解和信任给交易达成和合同履行造成一定障碍的问题,而由信誉卓著的银行以及其他金融机构作为担保人开立的,保证申请人履行双方签订的有关商务合同或其他经济合同项下的某种责任或义务。

关键词： 微生物学技术   实验室人员   微生物敏感性试验   医院感染   感染控制  

摘要： 目前,导致感染的新病原体不断出现,传统的病原体出现了新问题[1],不仅给临床治疗带来了困难,也向实验诊断提出了挑战.本文重点探讨如何更好地发挥临床微生物检验工作者在医院感染控制中的作用.

关键词： 分析前   标本采集   检验结果   重要作用  

摘要： 随着医学检验的不断发展及分析前对检验结果的重要影响,护士对检验工作的影响越来越大,护士的综合素质有时直接决定着检验分析的结果。因而应重视和加强护士在各种检验标本的采集、留取、保存和运输等检验分析前各环节中的培训。

关键词： 智能包装   应用   分类   智能材料   包装材料   信息收集   包装系统   化管理  

摘要： 一、什么是智能包装 随着智能材料不断发展，它的应用范围拓展到了包装，于是出现了“智能包装”的概念。所谓智能包装，是指利用新型的包装材料、结构与形式对商品的质量和流通安全性进行积极干预与保障；利用信息收集、管理、控制与处理技术完成对运输包装系统的优化管理等。

关键词： Blood cell classification   Leukemia diagnosis   Acute lymphocytic leukemia   Acute myeloid leukemia   Artificial neural networks  

摘要： Pattern recognition applied to blood samples for diagnosing leukemia remains an extremely difficult task which frequently leads to misclassification errors due in large part to the inherent problem of data overlap. A novel artificial neural network (ANN) algorithm is proposed for optimizing the classification of multidimensional data, focusing on acute leukemia samples. The programming tool established around the ANN architecture focuses on the classification of normal vs. abnormal blood samples, namely acute lymphocytic leukemia (ALL) and acute myeloid leukemia (AML). There were 220 blood samples considered with 60 abnormal samples and 160 normal samples. The algorithm produced very high sensitivity results that improved up to 96.67% in ALL classification with increased data set size. With this type of accuracy, this programming tool provides information to medical doctors in the form of diagnostic references for the specific disease states that are considered for this study. The results obtained prove that a neural network classifier can perform remarkably well for this type of flow-cytometry data. Even more significant is the fact that experimental evaluations in the testing phase reveal that as the ALL data considered is gradually increased from small to large data sets, the more accurate are the classification results.

关键词： Crude oils   Oil spills   Weathering   SOM   PCA   Discriminant PLS   Variable selection  

摘要： Weathering processes considerably change the chemical composition of crude oils spilled on the environment. The impact of this effect on the classification capabilities of Kohonen neural networks (self-organizing maps, SOM) trained to predict the geographical origin of crude oils, was studied. A set of 38 worldwide crude oils from six distinct geographical regions was considered and each product was weathered to build a database of 263 samples. Gas Chromatography-Mass Spectrometry was used to monitor weathering and to determine a suite of 22 ratios of PAHs (polycyclic aromatic hydrocarbons) and alkanes. which are currently considered resilient to weathering. Three different experiments were performed with SOMs to study the effect of oil weathering and analytical conditions on the final results: a) weathered and un-weathered samples were randomly distributed in the training and validation sets, b) the training set included only unweathered samples while the validation set consisted of all the weathered samples, and c) the operational conditions (instruments/technicians) were different for the samples of the training and validation sets. After training the different SOMs, the percentage of correct classifications was in the 83.8%-95.7% range for the validation sets. A consensus SOM associated to a confidence level is proposed in which the decision is taken based on the number of votes of the winning class. The lowest success on the classification of the most weathered samples was expected and can be explained easily by the important changes on the chromatographic profiles due to the disappearance of the lightest alkanes and the relative enrichment on the more substituted PAHs. Most incorrect classifications occurred because the samples activated neurons at the close neighbourhood of the regions where they should belong to. The 'consensus' approach improved the capability to predict unknown samples. Results were compared to those from discriminant partial least squares