Linear scalar-on-surface random effects regression models

Many research fields increasingly involve analyzing data of a complex structure. Models investigating the dependence of a response on a predictor have moved beyond the ordinary scalar-on-vector regression. We propose a regression model for a scalar response and a surface (or a bivariate function) predictor. The predictor has a random component and the regression model falls in the framework of linear random effects models. We estimate the model parameters via maximizing the log-likelihood with the ECME (Expectation/Conditional Maximization Either) algorithm. We use the approach to analyze a data set where the response is the neuroticism score and the predictor is the resting-state brain function image. In the simulations we tried, the approach has better performance than two other approaches, a functional principal component regression approach and a smooth scalar-on-image regression approach.     

弯曲液面的附加压强

本文主要从球形液面内、外的压强差和任意弯曲液面内、外的压强差两个方面推导 了弯曲液面的附加压强公式。     

A semi-parametric approach to robust parameter design

Parameter design or robust parameter design (RPD) is an engineering methodology intended as a cost-effective approach for improving the quality of products and processes. The goal of parameter design is to choose the levels of the control variables that optimize a defined quality characteristic. An essential component of RPD involves the assumption of well estimated models for the process mean and variance. Traditionally, the modeling of the mean and variance has been done parametrically. It is often the case, particularly when modeling the variance, that nonparametric techniques are more appropriate due to the nature of the curvature in the underlying function. Most response surface experiments involve sparse data. In sparse data situations with unusual curvature in the underlying function, nonparametric techniques often result in estimates with problematic variation whereas their parametric counterparts may result in estimates with problematic bias. We propose the use of semi-parametric modeling within the robust design setting, combining parametric and nonparametric functions to improve the quality of both mean and variance model estimation. The proposed method will be illustrated with an example and simulations.     

运用表面光电压技术对半导体表面光电特性的研究

对运用表面光电压技术(SPS)对半导体材料光电性质的研究进行了综述,系统阐述了表面光电压谱(SPS)和场诱导表面光电压谱(FISPS)在测定半导体类型、表面态及其能级位置、表面电荷分布、半导体的能带隙等方面所表现出的优越性质.研究了半导体能带隙所表现出的特有性质.     

高T_c超导材料微波特性的自动化测量

采用单腔多模谐振腔,通过部分置换样品的方法,在程控标量网络分析系统上,实现了高 T_c 超导材料微波特性的自动化测量。该方法简单、准确,能同时测出超导样品的工作频率、微波表面阻抗、工作温度等多个参数,并能以图或表的形式给出测试结果。给出了3 cm 频段上YBCO 块材样品在77K 及附近温度下的测量结果,指出 YBCO 块材的微波特性还有待提高。     

三维Minkowski空间中有相等主曲率函数的一类特殊曲面的位置向量场

讨论三维Minkowski空间R2 .1中一类特殊曲面在主曲率函数相等时的情形 ,给出了这类曲面在这一情形下的位置向量场     

离子晶体外表面束缚极化子

本文计及表面光学声子的作用以及像电荷的作用,采用变分方法对一些材料外表面束缚极化子的基态能量和自陷能作了数值计算,并对结果进行了讨论,发现:对于Ⅰ—Ⅶ、Ⅱ—Ⅵ,Ⅲ—Ⅴ化合物的外表面,均可形成稳定的束缚极化子,且由于表面光学声子的作用,使这一杂质态更加稳定。     

复合词的深层结构和表层结构及其理据性

复合词也有其深层结构和表层结构的区别。从其深层结构向表层结构转化的时候 ,由于音节的制约 ,可能发生结构变形和扭曲现象 ,再加上历史演变的结果 ,仅仅从其表层结构就难以揭示其理据性。对复合词的分析 ,不但不可混淆两种结构 ,还要揭示两种结构之间的联系和区别。     

硫酸盐镀锌光亮剂高温载体的合成及性能研究

以正交实验法对硫酸盐镀锌光亮剂高温载体GZL-02的合成工艺条件进行了优化研究,并对其表面化学性能和电镀性能进行了测定.最佳合成工艺条件为,聚醚∶顺酐=1∶1.05(摩尔比),酯化温度75℃,时间2h.最终产物得率超过97%.     

正、负离子表面活性剂混合体系的研究

研究了由一种负离子表面活性剂和两种正离子表面活性剂组成的三元体系，得到了一些相容规律，同时测定了部分二元体系表面张力的下降值．