用XPS和AES研究MoS_4~(2-)在钢铁表面的配位化学反应

本文研究MoS_4~(2-)在钢铁表面发生配位化学反应所形成的具有装饰效果的多种彩色Mo-S-Fe表面簇合物膜。FI-IR、F-IR、FT-Raman、XPS和AES分析表明,簇合物膜由Fe、Mo、S、O元素组成,在膜表面铁以Fe(Ⅲ)、钼以Mo(Ⅵ)状态存在,而在膜内层以Fe(Ⅱ)、Mo(Ⅳ)和Mo(Ⅵ)共存,S和O都呈-2介,膜表面含少量 4、 6价硫。从AES深度分布曲线的组成恒定区求得了各组元素的相对原子百分浓度和膜层厚度,反应时间越长,膜越厚,膜为多分层子结构。加热后膜层所含元素种类及价态不变,但其元素分布有所改变。     

无金属基底吸波结构对TE波的反射

详细分析了ＴＥ极化波以大角度入射到无金属基底的平面多层吸波结构上时的反射特性,导出连接层间电磁场的通用矩阵公式,计算了两层和三层吸波结构的反射系数,并证明了在何种条件下可以获得低的反射率,在此基础上提出了一个简易设计方法。对进气道和进气道内吸波导流板的两层和三层材料设计都获得了良好的特性。     

减少流液洞中玻璃液回流

分析了流液洞中玻璃液流情况,提出了流液洞设计和使用中消除或减少回流的措施。     

大数据和企业精准营销相关性分析

对大数据和企业精准营销相关性的分析能够为精准营销的实施提供基础和技术平台,为企业对大数据的管理提供一定的方向,将很大程度影响企业的竞争力和发展。在拟定大数据和精准营销指标体系基础上,通过对黑龙江省服务业、商业企业、制造业和现代农业企业进行问卷调查,运用结构方程模型分析其相关性。分析结果显示,大数据与精准营销具有显著相关性,客户数据挖掘对大数据具有显著影响,精准广告投放对精准营销具有显著影响。据此指出,企业应当充分利用大数据技术,注重客户数据挖掘,提高营销的精准性,使其能适应市场竞争带来的机遇与挑战。     

中国—东盟政治合作机制研究

本文根据中国—东盟区域合作发展的政治合作机制的概念及呈现的多维特性,运用政治合作的目标分解和构成要素,对政治合作机制进行综合的结构分析。通过利益泛化(低度)、制度分化(中度)和价值固化(深度)生成的三个阶段性使命目标(和睦共享、和平共处与和谐共荣)合作过程的剖析,对中国—东盟政治合作机制建设的结构性问题进行探讨,以此助推区域政治合作机制的改进和优化。     

Testing for parameter constancy in the time series direction in panel data models

We propose tests for parameter constancy in the time series direction in panel data models. We construct a locally best invariant test based on Tanaka [Time series analysis: nonstationary and noninvertible distribution theory. New York: Wiley; 1996] and an asymptotically point optimal test based on Elliott and Müller [Efficient tests for general persistent time variation in regression coefficients. Rev Econ Stud. 2006;73:907–940]. We derive the limiting distributions of the test statistics as T→∞ while N is fixed, and calculate the critical values by applying numerical integration and response surface regression. Simulation results show that the proposed tests perform well if we apply them appropriately.     

空气雾化钻井试验架研制剖析

解决空气雾化钻井井眼净化问题,试验架是关键装置、基础设备和必要手段。对空气雾化钻井试验架的研制过程进行了深入剖析,介绍了在试验架研制中应遵循的一些基本原则,试验架基本结构,试验架主要参数,试验结果可靠性分析,试验研究进行情况,以及研制过程中的经验教训等内容,体现了空气雾化钻井试验架研制工作的特点与特色。     

Hierarchical likelihood approach to non-Gaussian factor analysis

Factor models, structural equation models (SEMs) and random-effect models share the common feature that they assume latent or unobserved random variables. Factor models and SEMs allow well developed procedures for a rich class of covariance models with many parameters, while random-effect models allow well developed procedures for non-normal models including heavy-tailed distributions for responses and random effects. In this paper, we show how these two developments can be combined to result in an extremely rich class of models, which can be beneficial to both areas. A new fitting procedures for binary factor models and a robust estimation approach for continuous factor models are proposed.     

Informality,emotion and gendered career paths: The hidden toll of maternity leave on female academics and researchers

While the negative impact of child‐raising and caring on women's career progression in academia is well‐established, less is known about the role of academic women's lived experiences of maternity leave as an institutional practice. This article presents the findings of a qualitative study of the lived experiences of female academics and researchers in an Irish university. The analysis intrinsically links organizational structures and problems with the lived and felt dimensions of work. The findings point to the need for better structural accommodations for maternity leave which address the relationship between caring and career disadvantage within academia. The article adds to existing literature on the intersection of motherhood and academia by unpicking the specific role of maternity leave as both a lived experience and an institutional practice that can reinforce gender inequalities in academia.     

基于结构方程模型的农民工可雇佣性的决定因素研究——基于中部六省的调查

农民工是中国人力资源的重要组成部分。从智能、技能、体能和心能四个维度构建农民工可雇佣性模型,根据调查问卷收集数据,运用结构方程验证了农民工可雇佣性模型的合理性,研究了农民工可雇佣性及其各维度间的关系。结果表明,各维度对农民工可雇佣性影响程度依次为:技能、心能、智能和体能。农民工因年龄、文化程度不同,在可雇佣能力、技能、心能和智能方面存在显著性差异,但是在体能上没有显著差异。