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关键词： 全血C反应蛋白   血常规   检验   儿科细菌性感染性疾病   诊断  

摘要： 目的探讨全血C反应蛋白与血常规联合检验在儿科细菌性感染性疾病中的诊断作用。方法 120例细菌性感染性疾病患儿作为研究对象,均分别进行全血C反应蛋白检验、血常规检验及全血C反应蛋白与血常规联合检验,比较三种检验方法诊断准确率。结果血常规检验细菌性感染性疾病的诊断准确率(63.33%)与全血C反应蛋白诊断准确率(65.83%)对比差异无统计学意义(P>0.05);而全血C反应蛋白与血常规联合检验的诊断准确率(92.50%)明显高于上述两种检验诊断准确率(P<0.05)。结论全血C反应蛋白与血常规联合检验在儿科细菌性感染性疾病中具有较高的诊断准确率,能够为临床医生制订治疗方案提供依据,值得在临床上进一步推广及采纳。

关键词： 血常规检验   缺铁性贫血   地中海贫血   作用  

摘要： 对血常规检查在贫血患者临床诊断中的应用价值进行分析。方法:取医院收治的缺铁性患者、地中海贫血患者 以及健康体检者各 15 例、10 例、30 例,对三组人员给予血常规检查,比较三组患者 RBC(红细胞) 、MCV(平均红细胞体积) 、 Hb(血红蛋白) 、MCH(红细胞血红蛋白量) 、RDW(红细胞分布宽度)以及 RBC/MCV 等指标变化情况。结果:Hb 与 RBC 指标上, 缺血性贫血患者明显低于地中海贫血患者、健康体检者,而 RBC、RBC/MCV 方面,地中海贫血患者高于缺血性贫血患者以及健 康体检者,在 MCV、MCH 指标上健康体检者最高,三组各指标比较,差异显著(P<0.05) ,有统计学意义。结论:血常规检查 用于贫血患者临床诊断中,可通过检查结果的差异与特征,用于贫血症状判断,应在临床实践中进行推广。

关键词： CDS   会计处理  

摘要： 随着中国版的CDS推出临近,规范CDS的会计处理及报告尤为紧迫。本文首先对CDS进行了概述,然后按照国际会计准则的逻辑,提出传统的CDS合约与裸CDS合约处理的不同原则及方法。

关键词： Rotation Forest   Kernel-based methods   Kernel Orthonormalized Partial Least Square   classification   hyperspectral data  

摘要： Kernel-based methods and ensemble learning are two important paradigms for the classification of hyperspectral remote sensing images. However, they were developed in parallel with different principles. In this paper, we aim to combine the advantages of kernel and ensemble methods by proposing a kernel supervised ensemble classification method. In particular, the proposed method, namely RoF-KOPLS, combines the merits of ensemble feature learning (i.e., Rotation Forest (RoF)) and kernel supervised learning (i.e.,Kernel Orthonormalized Partial Least Square (KOPLS)). In particular, the feature space is randomly split into K disjoint subspace and KOPLS is applied to each subspace to produce the new features set for the training of decision tree classifier. The final classification result is assigned to the corresponding class by the majority voting rule. Experimental results on two hyperspectral airborne images demonstrated that RoF-KOPLS with radial basis function (RBF) kernel yields the best classification accuracies due to the ability of improving the accuracies of base classifiers and the diversity within the ensemble, especially for the very limited training set. Furthermore, our proposed method is insensitive to the number of subsets.

关键词： Breast cancer   Molecular subtyping   Proteomics   Transcriptomics   Mass spectrometry  

摘要： Background: Breast cancer is a complex and heterogeneous disease that is usually characterized by histological parameters such as tumor size, cellular arrangements/rearrangments, necrosis, nuclear grade and the mitotic index, leading to a set of around twenty subtypes. Together with clinical markers such as hormone receptor status, this classification has considerable prognostic value but there is a large variation in patient response to therapy. Gene expression profiling has provided molecular profiles characteristic of distinct subtypes of breast cancer that reflect the divergent cellular origins and degree of progression. Methods: Here we present a large-scale proteomic and transcriptomic profiling study of 477 sporadic and hereditary breast cancer tumors with matching mRNA expression analysis. Unsupervised hierarchal clustering was performed and selected proteins from large-scale tandem mass spectrometry (MS/MS) analysis were transferred into a highly multiplexed targeted selected reaction monitoring assay to classify tumors using a hierarchal cluster and support vector machine with leave one out cross-validation. Results: The subgroups formed upon unsupervised clustering agree very well with groups found at transcriptional level;however, the classifiers (genes or their respective protein products) differ almost entirely between the two datasets. In-depth analysis shows clear differences in pathways unique to each type, which may lie behind their different clinical outcomes. Targeted mass spectrometry analysis and supervised clustering correlate very well with subgroups determined by RNA classification and show convincing agreement with clinical parameters. Conclusions: This work demonstrates the merits of protein expression profiling for breast cancer stratification. These findings have important implications for the use of genomics and expression analysis for the prediction of protein expression, such as receptor status and drug target expression. The highly m

关键词： 木材检验技术   木材运输   作用  

摘要： 木材检验作为林业基础工作之一,其同时也是木材供产销过程中的重要环节。在木材运输检验中科学、合理的运用木材检验技术来检验木材,可以了解木材需求情况、可以及时发现违法运输珍贵木材等情况,从而保护我国深林资源,更好发展林业。基于此点,介绍了木材检验技术在木材运输检验中的作用,以期为林业管理人员提供有价值的借鉴和参考,促进林业经济良性的发展。

关键词： 痕迹检验技术   刑事技术体系   地位   作用  

摘要： 痕迹检验技术是一种可以对犯罪嫌疑人身份特征进行确认的科技技能,是公安机关常用的案件侦查技术,在刑事案件侦查技术当中具有非常重要的作用和地位,本文通过对痕迹检验技术的深入探讨和研究,了解其在刑事技术体系中的作用以及地位,希望以此对公安机关的案件侦破带来一定的帮助。

关键词： 作用医学检验区域医联体  

摘要： 在区域医联体内构建医学检验服务支撑平台,有利于将医学信息检验、样本转运、结果互认中存在的问题解决,为医院建立互助式平台,达到合理配置医学资源的目的,各医院可以互相互补,弥补自身的不足。本文主要分析医学检验服务支撑平台在区域医联体中的作用,便于人们增强对医学检验服务支撑平台的了解,明确该平台构建的目的与意义。

关键词： 特种设备   安全   管理  

摘要： 很多特种设备都具有危险性,一旦发生安全事故就会威胁到人民群众的生命安全,因此这决定了特种设备检验机构工作所具有的重要的现实意义。特种设备检验机构要直接到使用特种设备的单位进行现场检验,这能够大大提高企业特种设备的安全管理。文章重点对特种设备检验机构在特种设备安全管理上所能够起到的作用进行了较为深入细致的分析,旨在为企业特种设备的良好安全运行提供参考,进而增加企业的经济效益,保障人民群众的生命安全。

关键词： 检验科   医院感染   管理  

摘要： 研究分析强化检验科在医院感染管理中的作用。选取该院2013—2016年发生的20例在检验科发生的感染事件,被血液和体液感染的有8例,被仪器所伤感染6例,被微生物室的细菌感染4例,其他感染2例。分析导致感染的原因,并提出应采取的措施。