快速循环热处理对(Co_(0.35)Fe_(0.65))_(99)O_1薄膜磁性能的影响

针对(Co0.35Fe0.65)99O1薄膜,研究了两种不同热处理工艺对其磁性能的影响。结果表明:快速循环热处理可以改善高磁矩(Co0.35Fe0.65)99O1薄膜磁性能,在450°C几个快速循环热处理后,沉积薄膜的矫顽力从105下降到3Oe,电阻率下降到70%,a-Fe(Co)相晶粒尺寸可以减小到15～35nm,该处理方法较以往的热处理更能改善软磁薄膜的性能。     

导体平板的散射矩阵

利用物理光学法推导出在双站情况下，平面波以任意角度入射时，导体平板的散射矩阵公式。通过该公式分析在特殊角度入射情况下散射场的雷达散射截面（ＲＣＳ），并与文献解进行比较，验证了它的正确性。该公式结构清晰，计算简便，有利于进一步分析散射场的特性。     

SPLINE SMOOTHER AS A DYNAMIC LINEAR MODEL

The paper shows how a finite dimensional representation of a cubic smoothing spline can be put in the framework of a dynamic linear model. The formulation provides an updating scheme when observations do not occur sequentially in time or space.     

Approximation spline de la prevision d'un processus fonctionnel autorégressif d'ordre 1

ABSTRACT We present a method to approximate and forecast, on an entire interval, a continuous-time process. For this purpose, we use the modelization of ARH(l) processes, defined by Bosq (1991). We deal with the practical problem of the discretization of the observed trajectories and approximate them by means of spline functions. We show by simulations that for well-chosen smoothing parameters, good prediction can be obtained in comparison with the “predictable” part of the process. Finally, we apply this model to forecast road traffic and compare it with a SARIMA model.     

再入等离子体鞘套中电磁波Helmholtz方程的近似解

本文以样条函数(spline function)作为电磁波Helmholtz方程的近似解,求解了等离子体鞘套的反射系数和透射系数。本文采用的样条函数法具有数学推导和数字计算简单,可适用于任意电子浓度分布的优点,并且计算结果与美国RAM C系列飞行实测数据吻合得比较好。同时,本方法还可用于求解其它不均匀介质中的电波传播问题。     

计算轴盘系统临界转速的新方法

本文把随轴一起振动盘的惯性力看成是作用在轴上的外力，对有任意广盘的轴盘系统，采用Laplace变换导出了临界固有频率方程的解析式     

论清代女词人赵我佩的“病、瘦”言说

清代女词人赵我佩存词173首,收于《碧桃仙馆词》中。赵氏体至孱弱,工愁善病,其词多言"病、瘦",直抒胸臆,清丽婉约。赵氏"病、瘦"词是一种自我表达的方式,不但记录了赵氏受苦受难的身体感受,也记录了赵氏受苦受难的心灵感受。她通过疾病所导致的苦难和情感上的残缺,唤醒自己及同时代的女性长期以来对疾病苦痛煎熬及夫妻离居造成的情感缺失的麻木,找寻迷失的自己,并关注自己的生存环境和生存状态。可以说赵氏词以独特的"病、瘦"言说参与到中国文学现代化的进程中来,为后世读者竖起了一座"病、瘦"词的丰碑。     

Likelihood-based cross-validation score for selecting the smoothing parameter in maximum penalized likelihood estimation

Maximum penalized likelihood estimation is applied in non(semi)-para-metric regression problems, and enables us exploratory identification and diagnostics of nonlinear regression relationships. The smoothing parameter A controls trade-off between the smoothness and the goodness-of-fit of a function. The method of cross-validation is used for selecting A, but the generalized cross-validation, which is based on the squared error criterion, shows bad be¬havior in non-normal distribution and can not often select reasonable A. The purpose of this study is to propose a method which gives more suitable A and to evaluate the performance of it.

A method of simple calculation for the delete-one estimates in the likeli¬hood-based cross-validation (LCV) score is described. A score of similar form to the Akaike information criterion (AIC) is also derived. The proposed scores are compared with the ones of standard procedures by using data sets in liter¬atures. Simulations are performed to compare the patterns of selecting A and overall goodness-of-fit and to evaluate the effects of some factors. The LCV-scores by the simple calculation provide good approximation to the exact one if λ is not extremeiy smaii Furthermore the LCV scores by the simple size it possible to select X adaptively They have the effect, of reducing the bias of estimates and provide better performance in the sense of overall goodness-of fit. These scores are useful especially in the case of small sample size and in the case of binary logistic regression.