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关键词： 情绪劳动   劳动关系氛围   劳资对立   中介作用   调查数据   员工创新行为   服务行业   深层行为  

摘要： 该文基于对服务行业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显著的相关关系。

关键词： Spatial heterodyne spectroscopy   Raman spectroscopy   diode-pumped solid-state   DPSS   chemical analysis  

摘要： Spatial heterodyne spectroscopy (SHS) is used for quantitative analysis and classification of liquid samples. SHS is a version of a Michelson interferometer with no moving parts and with diffraction gratings in place of mirrors. The instrument converts frequency-resolved information into a spatially resolved one and records it in the form of interferograms. The back-extraction of spectral information is done by the fast Fourier transform. A SHS instrument is constructed with the resolving power 5000 and spectral range 522-593 nm. Two original technical solutions are used as compared to previous SHS instruments: the use of a high-frequency diode-pumped solid-state laser for excitation of Raman spectra and a microscope-based collection system. Raman spectra are excited at 532 nm at the repetition rate 80 kHz. Raman shifts between 330 cm(-1) and 1600 cm(-1) are measured. A new application of SHS is demonstrated: for the first time, it is used for quantitative Raman analysis to determine concentrations of cyclohexane in isopropanol and glycerol in water. Two calibration strategies are employed: univariate based on the construction of a calibration plot and multivariate based on partial least squares regression. The detection limits for both cyclohexane in isopropanol and glycerol in water are at a 0.5 mass% level. In addition to the Raman-SHS chemical analysis, classification of industrial oils (biodiesel, poly(1-decene), gasoline, heavy oil IFO380, polybutenes, and lubricant) is performed using the Raman-fluorescence spectra of the oils and principal component analysis. The oils are easily discriminated showing distinct non-overlapping patterns in the principal component space.

关键词： Training   Feature extraction   Hyperspectral imaging   Convolutional neural networks   Few-shot learning   hyperspectral image classification   relation network (RN)   small sample size   three-dimensional (3-D) convolutional neural networks  

摘要： Due to the data-hungry nature of deep neural networks and the high dimensionality of hyperspectral imagery (HSI) data, the scarcity of training samples remains a significant challenge for HSI classification based on deep learning. Recently, the pairing or recombining of samples has proven to be an efficient approach to increase the amount of input training data, and accordingly, the architecture of a network trained by these samples has to be redesigned, since the input is no longer a single sample. Following this strategy, in this article, we propose a spatial-spectral relation network (SS-RN) for HSI classification with limited training samples. The SS-RN takes advantage of the relation network architecture to precisely capture the profound similarity between samples. Additionally, to make SS-RN more suitable for HSI classification, an entire three-dimensional (3-D) neighborhood instead of the isolated pixel is considered to explore both spectral and spatial information thoroughly. Multiple support samples are also selected for each class to make sure that the extracted features are stable enough to avoid the intraclass similarity and interclass dissimilarity problem of HSI. The network is composed on the basis of 3-D convolutional neural network blocks with the aim of extracting spatial-spectral features. Extensive experiments on three widely used HSI datasets demonstrate that the proposed method can achieve better classification accuracy than conventional deep learning methods with limited labeled training samples.

关键词： 检验分析   安全生产   作用  

摘要： 在化工生产过程中存在许多复杂的工艺环节,并且会应用到各种各样的化工材料,这就导致化工生产过程中存在较多的安全风险,如果得不到有效的控制,极易引发安全事故。因此在化工生产中非常重视检验分析工作,通过检验分析可以有效掌握化工生产中的各种安全隐患因素,及时消除这些隐患因素的影响。因此文章就对当下化工生产中检验分析的重要作用进行了探究分析,并提出了相关建议和看法,以供借鉴。

关键词： Biomarkers   Single-sample   Classification   Cancer   RNA-Seq   Microarray  

摘要： Background High-throughput gene expression profiles have allowed discovery of potential biomarkers enabling early diagnosis, prognosis and developing individualized treatment. However, it remains a challenge to identify a set of reliable and reproducible biomarkers across various gene expression platforms and laboratories for single sample diagnosis and prognosis. We address this need with our Data-Driven Reference (DDR) approach, which employs stably expressed housekeeping genes as references to eliminate platform-specific biases and non-biological variabilities. Results Our method identifies biomarkers with "built-in" features, and these features can be interpreted consistently regardless of profiling technology, which enable classification of single-sample independent of platforms. Validation with RNA-seq data of blood platelets shows that DDR achieves the superior performance in classification of six different tumor types as well as molecular target statuses (such as MET or HER2-positive, and mutant KRAS, EGFR or PIK3CA) with smaller sets of biomarkers. We demonstrate on the three microarray datasets that our method is capable of identifying robust biomarkers for subgrouping medulloblastoma samples with data perturbation due to different microarray platforms. In addition to identifying the majority of subgroup-specific biomarkers in CodeSet of nanoString, some potential new biomarkers for subgrouping medulloblastoma were detected by our method. Conclusions In this study, we present a simple, yet powerful data-driven method which contributes significantly to identification of robust cross-platform gene signature for disease classification of single-patient to facilitate precision medicine. In addition, our method provides a new strategy for transcriptome analysis.

关键词： 区域医疗联合体   协作运营   医学检验服务支撑平台  

摘要： 近年来,随着各地各种形式的医疗联合体(medicalconsortium)建设的不断推进,医疗联合体的社会关注度越来越高。医疗信息交换,相互承认结果,样品运输问题,比如友谊医院每个成员单位介绍了医学检验在对联的联合医疗服务支持平台,一种新型的医学测试,探索一种“合作”服务模式,实现“六统一”要求,对联医疗的实现优势互补,资源优化配置。基于多角度医疗联盟治理结构的对联,竞争和合作方式,健康促进和健康服务,改善和政府之间的利益,市场和第三方组织和相位差异的因素进行了分析,为了进一步促进服务,责任,合作和利益联盟的管理集成医疗卫生发展的对联。