乙醇透析发酵耦合过程研究（Ⅰ）

设计了乙醇发酵与膜透析耦合系统并进行了试验研究．结果表明，该过程可减少产物乙醇对发酵的抑制作用，膜透析系统的乙醇总量比对照组提高２０％～８０％，基质转化率提高３０％～８０％．     

酚酞型聚醚砜膜的制备与性能研究

本文利用水相沉淀聚合法成功地合成了丙烯腈(AN)-(二丙烯酰胺基)-二甲基丙烷磺酸(AM PS)共聚物,然后将其作为添加剂制备酚酞型聚醚砜膜,并进一步研究了添加剂用量对膜通量,膜截留率以及膜形态的影响.研究表明,随着添加剂用量的增加(从0到5%),膜在100 kPa下的水通量从230 L/m2.hr下降到125 L/m2.hr,对PEG 35000的截留率分别从0.5528增加到0.75.另外,利用场发射电子显微镜观察了膜断面,发现随着PAN-co-AM PS含量的增加,膜表皮层逐渐变厚,指状孔逐渐减少.     

壳聚糖中空纤维复合膜的制备与评价

蒸汽渗透是一种新型膜分离技术。本文以脱除丙烯中微量水份为目的,对壳聚糖复合膜的制备和分离性能进行了探索。首先研制了蒸汽渗透膜,选用聚砜中空纤维支撑膜,采用涂布法制备了壳聚糖复合膜。其次,考察了制膜液浓度,交联剂用量,热处理温度,时间等因素对复合膜蒸汽渗透性能的影响。     

ZnO/AlN复合压电薄膜的研制

各种超高频电子整机需要高性能的表声波压电器件。介绍了新的压电薄膜——ZnO/AIN复合压电薄膜的制速、结构和性能,并给出主要研制结果。     

分振幅薄膜干涉课件的制作

利用电脑对点光源和发光平面的薄膜干涉进行模拟 ,并将其制作成多媒体课件 ,使看上去很复杂的光路图变得简单、清晰 ,使教学具有良好的视觉效果 ,大大增强了课堂的容量     

用数学函数分析法对统计指数因素分析的进一步改良——谈综合指数体系的缺陷与消除

指数因素分析法是一种重要的统计分析方法,而其分析结果的正确与否取决于所用的指数体系。利用传统的综合指数体系从事因素分析虽方便,使用,但也存在一些不足。本文提出用其他指数体系进行因素分析的思想,以弥补传统综合指数体系在因素分析中的缺陷。     

复合地基承载力标准值取值方法探讨

结合具体工程实例,对静载试验极差大于平均值30%的复合地基,如何确定承载力标准值进行探讨,提出较为合理的取值方法.     

Local composite quantile regression estimation of time-varying parameter vector for multidimensional time-inhomogeneous diffusion models

This paper is dedicated to the study of the composite quantile regression (CQR) estimations of time-varying parameter vectors for multidimensional diffusion models. Based on the local linear fitting for parameter vectors, we propose the local linear CQR estimations of the drift parameter vectors, and verify their asymptotic biases, asymptotic variances and asymptotic normality. Moreover, we discuss the asymptotic relative efficiency (ARE) of the local linear CQR estimations with respect to the local linear least-squares estimations. We obtain that the local estimations that we proposed are much more efficient than the local linear least-squares estimations. Simulation studies are constructed to show the performance of the estimations proposed.     

Bias correction for parameter estimates of spatial point process models

When a spatial point process model is fitted to spatial point pattern data using standard software, the parameter estimates are typically biased. Contrary to folklore, the bias does not reflect weaknesses of the underlying mathematical methods, but is mainly due to the effects of discretization of the spatial domain. We investigate two approaches to correcting the bias: a Newton–Raphson-type correction and Richardson extrapolation. In simulation experiments, Richardson extrapolation performs best.     

Extended scaled prediction variance optimality for modified central composite design

Robust parameter designs (RPDs) enable the experimenter to discover how to modify the design of the product to minimize the effect due to variation from noise sources. The aim of this article is to show how this amount of work can be reduced under modified central composite design (MCCD). We propose a measure of extended scaled prediction variance (ESPV) for evaluation of RPDs on MCCD. Using these measures, we show that we can check the error or bias associated with estimating the model parameters and suggest the values of α recommended for MCCS under minimum ESPV.