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关键词： 生化检验   肾上腺皮质疾病   诊断作用  

摘要： 目的:对生化检验在肾上腺皮质疾病诊断中的作用进行探讨和分析。方法选择70例于2012年2月~2013年9月在我院进行肾上腺皮质疾病治疗的患者资料进行研究和分析,将患者分为对照组和研究组两组,对照组20例,研究组50例,对对照组患者进行常规检验,对研究组患者进行生化检验,对两组患者的检验有效率进行观察和分析。结果对照组15例患者检验有效,5例患者检验无效,检验有效率为75%,研究组48例患者检验有效,2例患者检验无效,检验有效率为96%,两组患者检验有效率差异具有统计学意义(P<0.05)。结论对肾上腺皮质疾病患者采用生化检验能够使诊断准确率获得有效提高。

关键词： 贫血   鉴别诊断   血液检验   价值  

摘要： 目的探讨血液检验在贫血鉴别诊断中的作用。方法选取我院2012年1月—2012年12月间收治的不同性质的贫血患者及健康体检者各20例,对所有贫血患者及健康体检者进行血液检验,观察比较贫血患者与健康体检者血液检验的结果。结果与健康体检者相比,地中海、缺铁性、巨幼细胞性、溶血性、慢性感染性贫血患者的平均红细胞体积、平均红细胞血红蛋白量、平均血红蛋白浓度、红细胞分布宽度均出现不同程度的改变。结论血液检验在贫血鉴别诊断中的作用较大,结合患者的血液检验参数与临床症状表现,对准确地鉴别诊断贫血病因具有重要意义。

关键词： 生化检验   肾上腺皮质疾病   诊断   作用  

摘要： 目的：对生化检验在肾上腺皮质疾病诊断中的作用进行探讨。方法资料选自2012年3月-2013年8月在本院治疗肾上腺皮质疾病患者94例。将所有患者随机分为研究组和对照组。其中研究组采用生化检验，对照组采用常规检验，分析两组患者的检验有效率。结果分析两组患者的检查情况，研究组的总有效率为93.62%，高于对照组的80.85%，两组数据的比较差异具有统计学意义（P〈0.05）。结论肾上腺皮质疾病应用生化检验诊断，较为准确，可将其作为疾病的例行检查项目。

关键词： 质量检验机构   企业   管理   作用  

摘要： 随着市场经济的快速发展和先进的科学技术的进步,产品质量检验机构在各个方面上都有了全方面的突破,设备上有了当前最先进的科学设备,在管理上,有更先进的管理理念,人员的素质有很大的提升。同时因为企业自身的各方面条件所限,在质量管理的方面存在问题,难以有效的解决。为此本文就针对产品质量检验机构在企业质量管理活动中起到的作用进行分析,希望对企业在质量管理活动中起到帮助,提供参考。

关键词： 包装印刷材料   国家标准   组成   分类   标准化技术委员会   深圳职业技术学院  

摘要： 据悉，全国印刷标准化技术委员会包装分技术委员会（SAC／TC170／SC3）日前在深圳职业技术学院召开《包装印刷材料分类》国家标准起草组成立会议，正式组建标准起草组。

关键词： Shibor   基准性   货币政策   利率传导   利率体系   信贷渠道   市场基准利率   价格型   联动性   传导渠道  

摘要： 本文在系统综述国内外相关研究成果的基础上,分别从市场性、稳定性、相关性以及基础性四个方面对Shibor、全国银行间同业拆借利率(Ibor)、银行间质押式国债回购利率(Repo)以及商业银行定期存款利率(Or)的基准性进行了检验与比较。结果表明,与其它三个利率体系相比,Shibor的基准性更强,可以作为我国市场利率体系的基准利率。在此基础上,本文分别从市场利率与货币政策工具变量的联动性和市场利率对实体经济变量的传递效应两个方面,对Shibor在我国货币政策传导机制中的作用进行了分析。结果表明,Shibor能够更好地在我国货币政策的利率传导机制中发挥作用,对货币政策工具的变动更为敏感,并主要通过信贷渠道影响实体经济增长。最后,本文就如何进一步完善Shibor利率体系提出了五点政策建议。

关键词： Support vector machines   Neural networks   Oral malodor classification  

摘要： Objective: This study presents an effective method of classifying oral malodor from oral microbiota in saliva by using a support vector machine (SVM), an artificial neural network (ANN), and a decision tree. This approach uses concentrations of methyl mercaptan in mouth air as an indicator of oral malodor, and peak areas of terminal restriction fragment (T-RF) length polyrnorphisms (T-RFLPs) of the 16S rRNA gene as data for supervised machine-learning methods, without identifying specific species producing oral malodorous compounds. Methods: 1 6S rRNA genes were amplified from saliva samples from 309 subjects, and T-RFLP analysis was carried out with the DNA fragments. T-RFLP analysis provides information on microbiota consisting of fragment lengths and peak areas corresponding to bacterial strains. The peak area is equivalent to the frequency of a specific fragment when one molecule is selected from terminal fragments. Another frequency is obtained by dividing the number of species-containing samples by the total number of samples. An SVM, an ANN, and a decision tree were trained based on these two frequencies in 308 samples and classified the presence or absence of methyl mercaptan in mouth air from the remaining subject. Results: The proportion that trained SVM expressed as entropy achieved the highest classification accuracy, with a sensitivity of 51.1% and specificity of 95.0%. The ANN and decision tree provided lower classification accuracies, and only classification by the ANN was improved by weighting with entropy from the frequency of appearance in samples, which increased the accuracy to 81.9% with a sensitivity of 60.2% and a specificity of 90.5%. The decision tree showed low classification accuracy under all conditions. Conclusions: Using T-RF proportions and frequencies, models to classify the presence of methyl mercaptan, a volatile sulfur-containing compound that causes oral malodor, were developed. SVM classifiers successfully classified the presence

关键词： machine learning   maximum likelihood classification   logistic regression   support vector machine   tree classifiers   random forests  

摘要： Although a large number of new image classification algorithms have been developed, they are rarely tested with the same classification task. In this research, with the same Landsat Thematic Mapper (TM) data set and the same classification scheme over Guangzhou City, China, we tested two unsupervised and 13 supervised classification algorithms, including a number of machine learning algorithms that became popular in remote sensing during the past 20 years. Our analysis focused primarily on the spectral information provided by the TM data. We assessed all algorithms in a per-pixel classification decision experiment and all supervised algorithms in a segment-based experiment. We found that when sufficiently representative training samples were used, most algorithms performed reasonably well. Lack of training samples led to greater classification accuracy discrepancies than classification algorithms themselves. Some algorithms were more tolerable to insufficient (less representative) training samples than others. Many algorithms improved the overall accuracy marginally with per-segment decision making.

关键词： High-pressure processing   packaging   headspace   crystallinity   polymer  

摘要： As high-pressure processing is used increasingly for the treatment of packed products, different packaging has been investigated with respect to their structural behaviour and stability under high-pressure processing. Often, failures and changes of the polymeric structure occur. Common damage symptoms of high-pressure-treated packaging materials are defined and classified in this review. These damage symptoms are allocated to the physico-chemical effects that created them. The effects may be separated into direct effects induced by the action of the high-pressure alone and indirect effects that are mediated via compressed contents of the package, i.e. filled product and gaseous headspace. The direct effects split up again in reversible and irreversible structural changes. The indirect effects are generated by compressed headspace gases, other compressed substances and the consequences of increased amounts of gases dissolved in the polymers. If applicable, current theoretical approaches have been allocated to the different categories of damage. Copyright ? 2013 John Wiley & Sons, Ltd.

关键词： Drying   Heat transfer   Local evaporation rate   Mass transfer   Mathematical modeling   Reaction engineering approach (REA)   Sample thickness effect  

摘要： The reaction engineering approach (REA) is examined here to investigate its suitability as the local evaporation rate to be used in multiphase drying. For this purpose, REA is first implemented to model the convective drying of materials with various thicknesses. The relative activation energy, as the fingerprint of REA, generated from one size of a material is used to model the convective drying of the same material with different thicknesses. Because the results indicate that REA parameters can model the drying of materials with various thicknesses, REA can be scaled down to describe the local evaporation rate (at the microscale as affected by local composition and temperature). The relative activation energy is used to describe the global drying rate in modeling the local evaporation rate. REA is combined with a system of equations of conservation of heat and mass transfer in order to yield the spatial reaction engineering approach (S-REA) as a nonequilibrium multiphase drying model. By using S-REA, the spatial profiles of moisture content, concentration of water vapor, temperature, and local evaporation rate can be generated, which can assist in comprehending the transport phenomena.