线性异或逻辑方程组和逻辑矩阵

线性异或逻辑方程组现有的求解方法均不适于用计算机求解。为此,本文引入了逻辑矩阵的概念。本文对逻辑矩阵、逻辑向量系的相关性、Cramer法则等进行了理论证明或分析。     

创造性思维的自组织机制

创造性思维的产生有着深刻的自组织机理,思维系统的开放是产生创造性思维的先决条件;非线性机制是创造性思维产生的内在根据;随机涨落是创造性思维产生的直接诱因。     

电磁矢量的菲涅耳公式

从电磁场理论推导了磁矢量的菲涅耳公式并提出了光的电磁矢量的菲涅耳公式,用电磁矢量诠释反射光、折射光的"半波损失",并从电磁矢量角度归纳洛埃镜实验和维纳驻波实验结果,分析了偏振现象.     

等概率原则在多阶段随机抽样中的实践问题

等概率原则是多阶段随机抽样过程中必须体现的原则。通过对分立式多阶段随机抽样方式的分析 ,发现在其随机抽样过程中存在着违背等概率原则的问题。据此 ,提出综合式多阶段随机抽样的方式     

Redressing Inequity in Parent Care Among Siblings

When inequities occur in the division of labor among adult siblings caring for older parents, conflict may result. This paper uses equity theory as a framework for understanding the processes used by siblings to rectify imbalances in their parental responsibilities. The study is based on a sample of 40 focus group participants who described caregiving relationships among siblings. Consistent with equity theory, these participants used two approaches to redress inequities in their sibling caregiving relationships: requesting behavioral changes from siblings and making cognitive changes. The findings suggest that these two approaches can result in more perceived equity but may also lead to even greater perceived inequity and distress.     

分子束矢量及其应用

本文摒弃了气体分子运动论中诸多不必要的简化假设，引入了分子束矢量的概念。应用分子束矢量解决问题简捷严谨并能避免出现“1/6与1/4”“2”等迷惑问题。     

摹略万物之然--后期墨家认识论

后期墨家在继承墨子唯物思想的基础上,论述了认识的基础、认识的过程及认识过程中的阶段性、认识所得知识的不同来源及种类,批判了以往认识论中的一些错误命题。后期墨家的认识论系统,感性、理性认识并重,理性认识以感性认识为基础。这种认识论对认识主体作用的强调有重要的理论与现实意义。     

异步电动机的矢量变换控制

本文利用转矩控制原理,提出了矢量变换,控制异步电动机的转速,使结构比较简单的异步电动机的调速性能可以与结构比较复杂的直流电动机媲美,从而达到降低成本,维修容易的目的.     

JOINT BEHAVIOUR OF PRECEDENCES AND EXCEEDANCES IN RANDOM THRESHOLD MODELS

This paper concerns the joint behaviour of precedence and exceedance statistics in random threshold models. Joint distributions of precedence and exceedance statistics, both exact and asymptotic, are obtained, and the results are illustrated for random thresholds based on order statistics and record values.     

Conditional Functional Principal Components Analysis

Abstract.  This work proposes an extension of the functional principal components analysis (FPCA) or Karhunen–Loève expansion, which can take into account non-parametrically the effects of an additional covariate. Such models can also be interpreted as non-parametric mixed effect models for functional data. We propose estimators based on kernel smoothers and a data-driven selection procedure of the smoothing parameters based on a two-step cross-validation criterion. The conditional FPCA is illustrated with the analysis of a data set consisting of egg laying curves for female fruit flies. Convergence rates are given for estimators of the conditional mean function and the conditional covariance operator when the entire curves are collected. Almost sure convergence is also proven when one observes discretized noisy sample paths only. A simulation study allows us to check the good behaviour of the estimators.