论自然辩证法在阳江供电局技术改造管理中的应用

自然辩证法是马克思主义哲学体系中的重要组成部分，是关于自然界和科学技术发展的一般规律以及人类认识自然的一般方法的科学理论体系。     

A physical mechanism based constitutive model for temperature-dependent transformation ratchetting of NiTi shape memory alloy: One-dimensional model

In this paper, the effect of test temperature on the transformation ratchetting of super-elastic NiTi shape memory alloy was first investigated in the cyclic tension-unloading tests. It is shown that all the residual strain, dissipation energy, the start stress of martensite transformation and their evolutions during the cyclic loading depend greatly upon the test temperature. Based on the experimental observations, a new one-dimensional constitutive model is constructed by considering two different inelastic deformation mechanisms (i.e., martensite transformation and transformation-induced plasticity). The proposed model employs a new evolution rule of transformation-induced plasticity which considers the physical mechanism of the plastic deformation, i.e., the dislocation slipping in the austenite phase near the austenite–martensite interfaces. Furthermore, the interaction between dislocation and martensite transformation is also taken into account in the proposed model. The capability of the proposed model to predict the uniaxial temperature-dependent transformation ratchetting of NiTi shape memory alloy is verified by comparing the predictions with the experimental data.     

A method for comparing numerical variables defined in a region

This paper develops a new method for comparing numerical variables defined in a region. This method covers numerical variables defined over a two-dimensional space, such as temperature and humidity distributions, as well as those defined on a discrete space such as the height of trees and the age of buildings. To evaluate the difference between two variables, this method considers three types of transformations that convert one variable so that it fits the other as well as possible. The result gives a basis for the separate evaluation of spatial and aspatial differences between the variables. The transformations also permit us to describe the spatial difference in more detail. To test the validity of the method, this paper applies it to an analysis of three spatial datasets of different sizes. The result shows that the proposed method is effective for evaluating and visualizing the difference between numerical variables.     

浅谈研发成果如何有效转化

目前我公司研发成果转化推广工作虽然取得了很大的进步，但研发成果转化整体推广应用水平和数量仍然有待提高。加快研发成果向现实生产力转化，已成为建设创新型公司的一项重要任务。然而现实中许多研发成果没有及时得到转化应用，甚至被闲置，这种情况严重阻碍了研发成果有效转化的发挥。本文将从研发成果转化的现状入手，在分析转化链条中各主体及支撑保障体系存在问题的基础上提出对策建议。     

两种主流过渡技术的分析比较

从技术原理、适应场景、产业链现状、部署成本、支撑系统改造要求等多个角度和层面对NAT444和DS-Lite进行了比较分析，并给出了迁移和部署策略建议。     

Variation in electric resistivity in metastable alloys during thermomechanical loading: Effects of temperature,elasticity, plasticity and phase transformation

301L metastable stainless steel is a ductile material in which there is strong coupling between plasticity and phase transformation, leading to strongly non-linear thermomechanical behaviour. To determine phase transformation kinetics, isothermal tensile tests at different temperatures were carried out and in situ voltage (electric resistance) was measured. We then chose an appropriate post-processing method based on observed voltage using strain and temperature. It was thus possible to determine the effect of temperature, elasticity, plasticity and phase transformation on the electric resistivity of the studied material. After identifying the effect of each strain mechanism, a volume phase fraction determination method based on electric resistivity variation was developed and used to determine the kinetics of phase transformation. Finally, we compared our results with those of two classic methods: the neutron diffraction method and the magnetic method.     

Guide to Quality Control,Second Revised English Edition

We introduce a very general “forward” method of data analysis that starts from a small, robustly chosen subset of the data and shows the effect of adding observations by a forward search. Powerful diagnostic procedures result: The observations are ordered by their agreement with the proposed transformation, masking is overcome, and the inferential effect of each observation is clear. We apply the resulting method to the transformation of both univariate and multivariate data. Other applications of the forward search are mentioned.     

A Method of Estimating Variance Components in Unbalanced Designs

Another method of estimating variance components in the unbalanced case is presented for a general model with unbalanced population structure and unequal variances over the population. The method utilizes unweighted means and can be shown to give unbiased estimates when the numbers of observations are sampled and certain to be > 1. When the design is balanced the estimators coincide with the usual anova-estimators. The construction of estimators is exemplified for four situations with factors crossed and nested in different ways.     

Explicit solutions for the response probability density function of nonlinear transformations of static random inputs

This work is the second paper of two companion ones. Both of them show the use of a new version of the Probabilistic Transformation Method (PTM) for finding the probability density function (pdf) of a limited number of response quantities in the transformations of static random inputs. This is made without performing multi-dimensional integrals of the response total joint pdf for saturating the non-interested variables. While in the first paper the linear transformations have been considered, in the present one some nonlinear systems are taken into account. In particular, first the case when the loads on a linear structural system are a nonlinear combination of static random inputs is studied. Then the attention is placed on the case of nonlinear structural systems, for which the new version of the PTM allows to determine approximated, but accurate, results.     

Statistical Analysis for Decision Making

In this article we consider a generalization of the univariate g-and-h distribution to the multivariate situation with the aim of providing a flexible family of multivariate distributions that incorporate skewness and kurtosis. The approach is to modify the underlying random variables and their quantiles, directly giving rise to a family of distributions in which the quantiles rather than the densities are the foci of attention. Using the ideas of multivariate quantiles, we show how to fit multivariate data to our multivariate g-and-h distribution. This provides a more flexible family than the skew-normal and skew-elliptical distributions when quantiles are of principal interest. Unlike those families, the distribution of quadratic forms from the multivariate g-and-h distribution depends on the underlying skewness. We illustrate our methods on Australian athletes data, as well as on some wind speed data from the northwest Pacific.