社会新闻报道的三个选择

社会新闻是以报道社会生活中的人际关系、精神风貌和伦理道德为主的新闻 ,在实践中 ,某些媒体片面追求“卖点”,忽视正确的舆论导向 ,致使一些格调低劣、色情淫秽、凶杀暴力、荒诞不经的内容被播发 ,贻害了社会 ,污染了读者 ,玷污了媒体的形象 ,降低了媒体的品位。社会新闻只有从内容、角度、时机上加以选择 ,才能做到经济效益、社会效益双丰收 ,才能做到可读性、思想性、引导性的最佳结合     

Hazards regression for freemium products and services: a competing risks approach

We propose a competing risks approach to analyse customer behaviours in freemium products and services. The event of interest is when a customer starts to pay for additional features or functionalities. The observation of such an event may be preempted by an event where the customer quits using the product before paying and consuming the additional features or functionalities. One such freemium service is the online game category. The Fine-Gray regression model was implemented for an online game player activity data to study how covariates affect the paying hazard. Some covariates are hypothesized to have different discrete effects at multiple change points. We extend the model to allow for possible change points in the analysis.     

澳洲巨星陨落人性光芒不灭——伊丽莎白·乔利作品评析

伊丽莎白·乔利是国际文坛著名的澳大利亚女作家。评论家认为她的作品晦涩难懂、怪诞离奇、滑稽可笑、哀怨有趣;作品的人物多是那些与社会格格不入、行为古怪的人。本文认为是坎坷的人生经历给了她与众不同的视角,其作品所关注的社会边缘人的生存状况是人类文明发展积淀的结果,也是人类走向共同文明必然解决的问题。     

一种新的求极限方法

本文将不动点原理应用于极限问题中,得到一种求极限的方法。     

局部凸拓扑空间上的广义拟变分不等式

本文讨论了局部凸拓扑空间上的一类广义拟变分不等式问题。在适当的单调和连续性条件下,利用KKM定理和多值映射的不动点定理作为工具,得到了一个广义拟变分不等式解的存在性定理。所得结论是文献[1]的结果的改进。     

空中防撞系统避撞机制的数学模型

在TCAS系统中,到达最接近点的时间Tau、HMD和VMD是描述空中碰撞物理过程的主要参数,利用该组参数能够完整地描述TCAS系统的防撞机制。该文通过对到CPA时间的近似,引入对Tau时间的物理解释;并通过坐标变换,采用本机和入侵飞机的相对距离、相对距离变化率和相对距离加速度推导出了HMD的数学表达式;分析了工程实际应用中的修正模型。     

以ARM-Linux为载体进行嵌入式系统教学关键点的研究

国内外学习、研究和使用嵌入式技术热潮的兴起,对于新技术研究和探索最活跃的高等院校,既是机遇,也是挑战。从嵌入式系统教学过程中普遍存在的几个方面矛盾出发,结合东华理工大学软件学院教育的定位及特色,详细阐述面向就业为导向、创新能力为核心的嵌入式系统教学新体系建设,并对以ARM-Linux为载体进行嵌入式系统教学关键点进行了详实研究,有效促进嵌入式系统课程转型,化解嵌入式系统在教学工程中的关键矛盾,进一步有机作用于教学实践。     

A survey of statistical methods on remote sensing in russian literature from 1976 to 1985

In this article we review the major areas of remote sensing in the Russian literature for the period 1976 to 1985 that use statistical methods to analyze the observed data. For each of the areas, the problems that have been studied and the statistical techniques that have been used are briefly described     

Robust estimation for ordinal regression

Ordinal regression is used for modelling an ordinal response variable as a function of some explanatory variables. The classical technique for estimating the unknown parameters of this model is Maximum Likelihood (ML). The lack of robustness of this estimator is formally shown by deriving its breakdown point and its influence function. To robustify the procedure, a weighting step is added to the Maximum Likelihood estimator, yielding an estimator with bounded influence function. We also show that the loss in efficiency due to the weighting step remains limited. A diagnostic plot based on the Weighted Maximum Likelihood estimator allows to detect outliers of different types in a single plot.