基于定量重要性分析的燃耗链压缩方法

核反应堆物理计算中的燃耗计算需要使用燃耗链,但是评价核数据库所定义的燃耗链对于组件计算以及堆芯微观燃耗计算过于精细,传统的燃耗链压缩方法大都是半经验性的,适用范围和精度有限。提出了一种通过定量评估各核素与各反应道重要性实现压缩燃耗链的方法。重要性分析的数据基础是代表性问题的精细燃耗链计算结果,方法是考察每一个单元压缩操作对中子吸收、中子产出以及目标核素原子核密度的影响。该方法被应用于压水堆组件计算中燃耗链的压缩,随后分别应用精细燃耗链和压缩燃耗链对选取的验证算例进行了计算。结果的对比分析显示,在保证计算精度需求的前提下,该燃耗链压缩方法能够显著降低燃耗链规模,满足节省存储开销和时间的需求。     

浅析相关系数的显著性检验

本文用最小二乘法作直线拟合,给出相关系数显著性检验的判断方法,指出了用概率理论判断线性相关的必要性。     

谈谈温度的概念

本文基于对温度概念新的教学要求，阐述了温度概念的建立及其物理意义，并以现代的观点对温度概念的延伸作了初浅的讨论．     

3D graphical representation of protein sequences and their statistical characterization

Based on three physicochemical properties of amino acid side chains, we proposed a novel unique 3D graphical representation of protein sequences. Then, we constructed two vectors of three components as mathematical objects to characterize protein sequences numerically. The similarity/dissimilarity analysis among nine ND5 protein sequences proved the utility of our approach. A correlation and significance analysis have been provided to compare our results and the sequence homology.     

工薪类个税征收标准对调节居民收入分配作用的统计分析

个人所得税一直是中国老百姓最关注的话题之一,2011年个税征收标准改革的问题再次引起大家的关注,主要焦点集中在工资、薪金类的个税征收的起征点和累进税率。本文选择2001至2010年31个省份的19行业的平均工资为基础数据,运用SPSS统计分析软件分别按省份和行业作为因子对税前和税后的平均工资做方差分析,利用假设检验的P值构造统计量,定义了调节比和调节得分两个评价指标,用这两个指标衡量个人所得税征收标准对缩小工资差距的效用。本文中该模型把个税征收标准对调节居民收入分配的效果数量化,通过得分指标的变动说明过去两次个税征收标准调整的必要性以及今年审议的第四套个人所得税征收标准草案的优劣。还可以通过该模型构建的指标对某套个人所得税的征收标准是否适应当前经济发展需要起到参考作用。     

Complex impure systems: Sheaves,freeways, and chains

Fundamental to the approach of Complex Impure Systems is the definition of the concept of an s‐impure set as a set of perceptual beliefs or denotative significances (relative beings) of material and/or energetic real objects (absolute beings). But any Subject not only the subject S perceives objects O as significances, and he perceives the existing relations between these significances or, alternatively, he infers them. The study of these relations, conceived not as a singular relation between singular objects, but as sheaves of relations in both directions and forming relational freeways, will be studied here. In this work, we approach the structure of the system, from a synchronous point of view, as a first approach to this class of systems. © 2016 Wiley Periodicals, Inc. Complexity 21: 387–400, 2016     

用数理统计确定回归方程的形式

从数理统计角度分析热敏电阻随温度变化的回归方程,得出的回归方程与理论公式形式一致,建议用Excel的数据分析工具对实验数据进行数理统计。     

Significance Support Vector Regression for Image Denoising

As an extension of the support vector machine, support vector regression (SVR) plays a significant role in image denoising. However, due to ignoring the spatial distribution information of noisy pixels, the conventional SVR denoising model faces the bottleneck of overfitting in the case of serious noise interference, which leads to a degradation of the denoising effect. For this problem, this paper proposes a significance measurement framework for evaluating the sample significance with sample spatial density information. Based on the analysis of the penalty factor in SVR, significance SVR (SSVR) is presented by assigning the sample significance factor to each sample. The refined penalty factor enables SSVR to be less susceptible to outliers in the solution process. This overcomes the drawback that the SVR imposes the same penalty factor for all samples, which leads to the objective function paying too much attention to outliers, resulting in poorer regression results. As an example of the proposed framework applied in image denoising, a cutoff distance-based significance factor is instantiated to estimate the samples’ importance in SSVR. Experiments conducted on three image datasets showed that SSVR demonstrates excellent performance compared to the best-in-class image denoising techniques in terms of a commonly used denoising evaluation index and observed visual.     

药物相互作用及其临床意义

介绍了药物相互作用的概况和药物在药物动力学方面、药效学及在体外相互作用的一些临床表现.特别是因药物相互作用而引起的药物不良反应问题应引起注意。