水性聚氨酯电导率与聚沉值的研究

研究了软（硬）段含羧基的水性阴离子纳米聚氨酯体系的n(NCO)/n(OH)比值，COOH的质量分类，反离子各类，合成方法与电导率关系及产生的原因；探讨了该体系的n(NCO)/n(OH)值，COOH的质量分数，合成方法与临界聚沉值（Cc.c)的关系和规律。并分析，比较了软（硬）段含羧基的水性阴离子聚氨酯体系电导率与Cc.c二者关系，得出了随COOH的质量分数升高，二者变化相同，随n(NCO)/n(OH)比值升高,二者变化相反的结论。     

基于非确定性思考下的城市规划新思维探讨

通过对城市规划编制与实施过程中的问题分析，提出非确定性城市规划思想的理念以及非确定性规划思想与确定性规划思想的差别，并在分析非确定性规划思想内涵的基础上，提出非确定性规划思想指导下的城市规划的新程式。     

宽带智能天线系统中的频率补偿技术

在无线通信中,智能天线系统在抑制窄带多径干扰方面具有得天独厚的优势,但是用于宽带无线通信系统中时,就需要采用频率补偿方法.重点介绍基于频谱分解、聚焦和插值算法的补偿技术,并对这3种频率补偿技术的性能进行比较,结果表明在应用补偿技术的系统中,系统性能有显著的改善,其中插值算法具有最优的性能.     

骨组织工程PLGA/TCP复合材料的性能研究

骨组织工程的支架要求有与人骨在功能梯度上相一致的材料结构、几何结构和生理功能。PLGA／TCP复合材料具有适用于骨组织工程支架的综合性能。以快速成形技术低温沉积工艺的成形效果来评价材料的成形性能，以体外降解试验来评价材料的降解性能，以国家标准的方法来评价材料的细胞毒性，对PLGA和TCP不同配比下的性能进行了研究，发现TCP含量的增加有利于降低材料的细胞毒性，加快了材料的降解，但同时降低了材料的成形性能。从骨组织工程的临床应用来看，低的细胞毒性是需要首先得到保证的，成形性能则通过其他方式来改善。     

Electromagnetic properties of ferroelectric-ferrite ceramic composites

The NiFe₂O₄ and Pb(Zr_0.52Ti_0.48)O₃ ceramic composites are prepared by conventional solid state reaction method. The microstructural and morphological properties of the composites are studied by X-ray diffraction analysis and scanning electron microscopy. Results indicate that the ferrite and piezoelectric phases can co-exist in the composites. The relationship between the dielectric constant and frequency (40 Hz–40 MHz) as well as temperature is also investigated. It is noted that the transition temperature of the composites is about 380 °C. A double electric hysteresis loop is observed in our composites. The magnetic properties are relatively weak according to the magnetic hysteresis loop. With increase in the content of the ferrite phase, the permeability increases. The electromagnetic properties of the as-prepared composites are tunable according to the content of the NiFe₂O₄ phase.     

石油化工蒸汽系统顶层分析研究与应用

介绍石油化工蒸汽系统顶层分析，并通过实例分析阐明，在顶层分析的指导下进行蒸汽系统优化可以给工厂带来可观的经济效益。     

A Type-Safe Embedding of XDuce into ML

We consider the problem of integrating XDuce into ML. This is difficult because of incompatible type and value representations. Our solution is a type-driven translation scheme from XDuce to ML based on a structured representation of XDuce values. XDuce type inference guides the insertion of appropriate coercion functions to translate regular expression pattern matching and uses of semantic subtyping. We can extend our translation scheme to include ML function calls and patterns into XDuce. Thus, we can embed XDuce into ML. Our results allow to enrich the ML language with support for dealing with semi-structured data.