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关键词： 劳动关系氛围   情绪劳动   创新行为  

摘要： 本文基于对服务行业350名员工的调查数据,探讨劳动关系氛围对员工创新行为的作用机理,并验证其是否通过情绪劳动的中介作用对创新行为产生影响。研究结果表明,劳资双赢氛围和员工参与氛围与表层行为和深层行为都有着显著的正相关关系,劳资对立氛围与员工的深层行为有着显著的负相关关系,与员工的表层行为并未发现有着显著的相关关系;劳资双赢氛围与员工参与氛围对创新行为都有着显著的正相关关系,劳资对立氛围与创新行为有显著的负相关关系;通过中介效应检验,深层行为在劳动关系氛围与创新行为之间起部分中介作用,表层行为在劳动关系氛围与创新行为的关系中不起中介作用。

关键词： 设备分类   包装形式   常温奶   应用   设备选择   系统分类   乳品  

摘要： 随着世界乳业的迅速发展,尤其是国内乳品的市场占有度大幅提升,包装形式各具特色,设备选择和匹配各有千秋。但目前行业专家领域却很少有人对这些设备进行系统分类,在此,谨以浅薄经验对常温奶包装设备分类及应用做粗浅概述,旨在分享。

关键词： 临床免疫检验   免疫检验分析质量控制   有效措施   作用  

摘要： 目的:探讨免疫检验分析质量控制在临床免疫检验中的作用。方法:以2015年1月-2016年12月为研究时段,将2015年1月-2015年12月设定为对照组,2016年1月-12月我院在临床免疫检验中实施免疫检验分析质量控制,将其设置为观察组,对两组免疫检验的结果进行观察对比。结果:观察组甲状腺功能检验变异指数、C肽(C-P)指数、胰岛素抗体(IAb)指数、血清胰岛素(INS)指数和癌胚抗原(CEA)指数均明显低于对照组,P<0.05。结论:在临床免疫检验中实施免疫检验分析治疗控制措施,有利于提高免疫检验质量,降低变异情况发生几率,在患者临床治疗中发挥着重要的作用。

关键词： 区域创新环境   产业集群升级   因子评价模型  

摘要： 我国许多地方产业集群的自主创新能力较弱,在升级过程中出现许多问题,忽视区域创新环境的作用,影响产业集群的整体创新升级。为了进一步探讨区域创新环境对产业集群升级的影响,利用2010—2014年辽宁省14个城市的相关数据,结合产业集群升级和区域创新环境的相关理论,运用因子分析法和经济计量方法,实证分析了区域创新环境对产业集群升级的作用效果。结果显示:区域经济基础环境、区域基础设施环境和市场化程度对产业集群升级有更显著的影响;而区域资源投入环境和对外开放度对产业集群升级的影响不显著。

关键词： 16S sequencing   Factor models   Microbiome   Zero-inflated models  

摘要： Distance-based ordination methods, such as principal coordinates analysis (PCoA), are widely used in the analysis of microbiome data. However, these methods are prone to pose a potential risk of misinterpretation about the compositional difference in samples across different populations if there is a difference in dispersion effects. Accounting for high sparsity and overdispersion of microbiome data, we propose a amples (GOMMS) in this article. This method uses a zero-inflated quasi-Poisson (ZIQP) latent factor model. An EM algorithm based on the quasi-likelihood is developed to estimate parameters. It performs comparatively to the distance-based approach when dispersion effects are negligible and consistently better when dispersion effects are strong, where the distance-based approach sometimes yields undesirable results. The estimated latent factors from GOMMS can be used to associate the microbiome community with covariates or outcomes using the standard multivariate tests, which can be investigated in future confirmatory experiments. We illustrate the method in simulations and an analysis of microbiome samples from nasopharynx and oropharynx.

关键词： Speaker recognition   Speaker verification   Logistic regression   Classifier fusion  

摘要： Due to the mismatch between training and test conditions, speaker verification in real environments, continues to be a challenging problem. An effective way of improving such a system is taking advantage of multiple speaker verification systems. In this paper, we propose a novel sample specific speaker verification system. Using this system, the best classifiers are selected as the ensemble set and the optimal weights are obtained for each test sample. In this process, more reliable scores are forced to have higher weights, while less reliable scores are forced to have lower weights. We achieved an improvement of 0.81% in equal error rate (EER), 0.76% in minimum decision cost function (minDCF) and 3.62% in minimum log-likelihood ratio cost (minCLLR) on the NIST 2004 Speaker Recognition Evaluation dataset.

关键词： 检验检测   内审员   审核   监督  

摘要： 实验室的内审员,除肩负内审任务外,往往还是本实验室管理体系建设的骨干。不仅要对管理体系的运行进行检查、判定,还要对本实验室管理体系的建立和实施起着重要的支持和推动作用。

关键词： Transfer learning   SAE   CNN   Deep network   Classification methods  

摘要： The effective classification methods of the small target objects in the no-fly zone are of great significance to ensure safety in the no-fly zone. But, due to the differences of the color and texture for the small target objects in the sky, this may be unobvious, such as the birds, unmanned aerial vehicles (UAVs), and kites. In this paper, we introduced the higher layer visualizing feature extraction method based on the hybrid deep network model to obtain the higher layer feature through combining the Sparse Autoencoder (SAE) model, the Convolutional Neural Network (CNN) model, and the regression classifier model to classify the different types of the target object images. In addition, because the sample numbers of the small sample target objects in the sky may be not sufficient, we cannot obtain much more local features directly to realize the classification of the target objects based on the higher layer visualizing feature extraction;we introduced the transfer learning in the SAE model to gain the cross-domain higher layer local visualizing features and sent the cross-domain higher layer local visualizing features and the images of the target-domain small sample object images into the CNN model, to acquire the global visualizing features of the target objects. Experimental results have shown that the higher layer visualizing feature extraction and the transfer learning deep networks are effective for the classification of small sample target objects in the sky.

关键词： 胶体金法   蛋白芯片法   结核病  

摘要： 目的：研究结核菌蛋白LAM、16KD、ESAT－6、38KD、CFP10蛋白芯片法及胶体金法对结核菌感染诊断的应用价值。方法：研究选取我院2015年8月－2017年8月期间确诊的50例肺结核病患者，50例非结核病患者为研究对象，所有受检人员均实行蛋白芯片法、胶体金法检验，比较两种方法的敏感度、特异性等诊断指标的差异。结果：胶体金诊断肺结核患者的敏感度为92．00％，特异度为94．00％，准确性为93．00％，误诊率为6％，漏诊率为8％。阳性预测值为93．88％，阴性预测值为92．16％；蛋白芯片诊断肺结核患者的敏感度为96．00%，特异度为98．00％，准确性为97．00％，误诊率为2％，漏诊率为4％，阳性预测值为97．96％，阴性预测值为96．08％，两方法对比无明显差异．P〉0．05。结论：在临床诊断结核疾病中应用胶体金法进行辅助检查与蛋白芯片均具有操作简单、灵敏度高等优势，且在早期诊断与治疗结核疾病中实用性强，属于理想程度比较高的免疫学检验技术，可根据实际情况合理选择。

关键词： 医学检验技术   技能竞赛   实践教学  

摘要： 医学检验技术是通过运用各种实验方法,为疾病诊断提供诊断依据的一个临床辅助诊断专业。该专业课程实践操作内容繁杂,手工操作多,为了更好地推进医学检验技术专业课程的实践教学,提高学生对实践学习的积极性,增强学生的实践操作能力,在学院的帮助下,举办高职学生的职业技能竞赛,并对技能竞赛做经验总结,同时就此竞赛对医学检验技术专业课程实践教学的作用进行探讨。