Effects of structural characteristics on microwave dielectric properties of low-loss (Zn1-xNix)ZrNbTaO8 ceramics

Low-loss (Zn_1-xNi_x)ZrNbTaO₈ (0.02?≤?x?≤?0.10) ceramics possessing single wolframite structure are initiatively synthesized by solid-state route. Based on the results of Rietveld refinement, complex chemical bond theory is used to establish the correlation between structural characteristics and microwave performance in this ceramic system. A small amount of Ni²⁺ (x?=?0.06) in A-site with the fixed substitution of Ta⁵⁺ in B-site can effectually raise the Q?×?f value of ZnZrNb₂O₈ ceramic, embodying a dense microstructure and high lattice energy. The dielectric constant and τ_f are mainly affected by bond ionicity and the average octahedral distortion. The (Zn_0.94Ni_0.06)ZrNbTaO₈ ceramic sample sintered at 1150?°C for 3?h exhibits an outstanding combination of microwave dielectric properties: ε_r =?27.88, Q?×?f?=?128,951?GHz, τ_f =?–39.9?ppm/°C. Thus, it is considered to be a candidate material for the communication device applications at high frequency.     

Modelling consumer choice through the random regret minimization model: An application in the food domain

In line with findings on post-purchase food-choice regret, one can expect that pre-purchase anticipated regret with respect to forgone (non-chosen) alternatives has an impact on consumer food choices, especially when the choice is considered to be important. The traditional Random Utility Maximization (RUM) models for discrete choices may not fully capture this impact. This study investigates the usefulness and potential in the food domain of a discrete choice model that follows the regret minimization principle, the Random Regret Minimization (RRM) model, as an alternative and complement to existing RUM models. The two models are applied to consumer stated choices of cheese in a choice experiment. The study also investigates whether and to what extent a number of personality traits determine whether particular consumers rather choose according to utility-maximization, or regret-minimization principles. Results show that at the aggregate level the two models have a similar goodness of fit to the data and prediction ability. Still, each of them shows better fit for particular subgroups of consumers, based on personality traits. Hence, the present study reveals a potential for the RRM model applications in the food domain, and adds to the empirical literature supporting previous findings on the RRM model found in other contexts. Further research is needed to explore in which situations and for which consumer segments the RRM model is the most useful model.     

Real-time organic aerosol chemical speciation in the indoor environment using extractive electrospray ionization mass spectrometry

Understanding the sources and composition of organic aerosol (OA) in indoor environments requires rapid measurements, since many emissions and processes have short timescales. However, real-time molecular-level OA measurements have not been reported indoors. Here, we present quantitative measurements, at a time resolution of five seconds, of molecular ions corresponding to diverse aerosol-phase species, by applying extractive electrospray ionization mass spectrometry (EESI-MS) to indoor air analysis for the first time, as part of the highly instrumented HOMEChem field study. We demonstrate how the complex spectra of EESI-MS are screened in order to extract chemical information and investigate the possibility of interference from gas-phase semivolatile species. During experiments that simulated the Thanksgiving US holiday meal preparation, EESI-MS quantified multiple species, including fatty acids, carbohydrates, siloxanes, and phthalates. Intercomparisons with Aerosol Mass Spectrometer (AMS) and Scanning Mobility Particle Sizer suggest that EESI-MS quantified a large fraction of OA. Comparisons with FIGAERO-CIMS shows similar signal levels and good correlation, with a range of 100 for the relative sensitivities. Comparisons with SV-TAG for phthalates and with SV-TAG and AMS for total siloxanes also show strong correlation. EESI-MS observations can be used with gas-phase measurements to identify co-emitted gas- and aerosol-phase species, and this is demonstrated using complementary gas-phase PTR-MS observations.     

固体铝电解电容器用导电高分子制备工艺进展

依据近年的相关专利,综述了用于固体铝电解电容器的导电高分子的最新制备工艺,介绍了导电高分子固体铝电解电容器的结构,详细描述了制备导电高分子的两种主要方法——化学聚合和电化学聚合——及其进展历程。介绍了新颖掺杂剂的发现与使用,对各种工艺的特点进行了评述。     

分层注水井智能测试调配技术试验评价

注水井智能测试调配技术在不改变原注水管柱的基础上，利用井下可调式堵塞器，通过地面电脑控制，实现了测试调配同步进行。通过7口井的现场试验及分析评价，表明该工艺具有测调精度高、测调时间短、测试资料准确等特点。     

机械-射流破岩耦合特性研究

在现代旋转钻井破碎井底岩石中仍是以机械破岩为主，理论与实践证明，射流辅助破岩是提高钻井破岩效率的重要途径，但它们的耦合特性研究极少。文章基于渗流场与应力场的耦合理论分析，进行了机械与射流破岩耦合特性的实验研究。结果表明：射流压力和水楔作用对岩石渗流场、应力场具有重要作用，耦合作用比非耦合作用的破岩效率有较大幅度的提高。在实验条件下，砂岩的耦合作用提高破岩效率40％左右，灰岩的耦合作用提高破岩效率20％左右。     

CO2吞吐工艺操作参数的整体优化设计

针对ZY油田原油CO2吞吐的工艺过程，建立了CO2吞吐数值模拟模型。应用数值模拟方法对CO2吞吐进行了实例分析，首先对该井的CO2吞吐参数进行了单因素敏感性分析，分析了CO2周期注入量、注入速度、焖井时间、采液速度等因素对CO2吞吐效果的影响。在此基础上进一步运用正交试验方法对CO2吞吐参数进行了优化，通过计算表明用正交试验优选法得到的优化方案比单因素敏感性分析所得的优化结果更为合理。     

污水汽提系统的化学除臭清洗

文章简要介绍了化学除臭清洗剂JX-518的组成,并对采用该清洗剂对污水汽提系统进行化学除臭清洗的清洗过程及注意事项进行了详细介绍。实践证明,清洗后系统残液中硫化物及氨氮可降至很低,取得了很好的清洗效果。     

对CFG桩质量缺陷的探讨

根据具体工程的概况及水文地质条件，分析了CFG桩在地下水位出现大面积缩颈现象和复合地基载荷试验达不到设计要求的原因，并介绍了地基补强措施，以满足工程质量的要求。