认知构式语法视角下的网络新词语义变异研究

网络环境衍生了大量的网络新词,而微博应用程序作为新的交际媒介提供了充实的网络新词作为语料。经过对网络新词的归纳分析,网络新词语义呈现出以下特点：语素变异、语义范围扩大化、语义感情色彩反转化和结构互文化,而词缀结构压制、词汇压制和社会文化因素的压制是网络新词语义变化的驱动力。     

四川某高校2006—2010年新生心理健康状况分析

为了探讨大学新生心理健康状态的变化趋势及存在的问题,为学校心理健康工作提供指导,通过采用症状自评量表对四川某高校2006—2010年入学的大学新生24 425人心理健康状态进行了调查分析,发现2006—2010年新生心理健康状况随着时间的发展而变化,变化幅度较大;2008年入学新生在SCL-90量表的强迫、人际敏感、抑郁、焦虑、敌对、恐怖维度上的得分达到最高分;不同性别、不同专业、来自不同地区新生的心理健康状况随着时间的推移表现出不同的差异。     

论谷崎润一郎与欧阳予倩的关系

谷崎润一郎和欧阳予倩之间的友谊断断续续维持了三十余年,这在中日现代文学交流史上也是较为少见。事实上,20世纪20、30年代的欧阳予倩的戏剧创作,无论从思想上,还是艺术手法上,也都曾受到谷崎润一郎的影响。与此同时,欧阳予倩戏剧创作所表现出来的唯美主义倾向与其现实主义的戏剧理论并非矛盾。因此,欧阳予倩在接受谷崎润一郎影响的同时,进行了创造性叛逆。其最为突出的地方就在于他善于借鉴谷崎的理论和创作技巧．此来传达作者反封建的时代精神和个性解放的时代主题。     

色噪声作用下耦合神经元网络的相干共振

研究了色噪声作用下耦合(FHN)神经元模型的相干共振现象。运用改进的四阶随机龙格-库塔法,计算了神经元膜电压分布和神经元点火峰峰间隔的变差系数。结果表明,神经元点火峰峰间隔的变差系数是色噪声强度、色噪声相关率和耦合神经元个数的非单调函数;存在最优的色噪声强度、色噪声相关率和耦合神经元个数,使得神经元点火峰峰间隔的变差系数出现极小值(即为相干共振)。讨论了色噪声强度、色噪声相关率和耦合神经元个数对系统相干性的影响。     

《三国演义》与韩国传统艺术盘骚俚

《三国演义》在传入韩国之后,逐渐深入人心,成为了韩国人民所喜爱的小说作品。韩民族对于《三国演义》的喜爱并不仅仅停留在阅读和鉴赏的层面上,以《三国演义》的人物和故事情节为底本的《三国演义》派生作品也在韩国开始出版发行。而韩国传统艺术表演形式盘骚俚作品在创作的过程中也同样受到了《三国演义》这一外来文化因子的影响。文化在传递的过程中一经与本土文化结合,就必然发生变异,以一种新的文化形态呈现出来。这是文化传递与变异的基本原理。当《三国演义》与盘骚俚相结合后,也产生了诸如《赤壁歌》这样的文学作品。笔者在本文当中将从文化传递和变异的视角出发,运用原典实证的方法论对《赤壁歌》等韩国盘骚俚作品进行考察,阐释《三国演义》与盘骚俚作品影响关系,以求进一步加深对于盘骚俚作品的理解。     

Density Estimation by Total Variation Penalized Likelihood Driven by the Sparsity ℓ1 Information Criterion

Abstract. We propose a non‐linear density estimator, which is locally adaptive, like wavelet estimators, and positive everywhere, without a log‐ or root‐transform. This estimator is based on maximizing a non‐parametric log‐likelihood function regularized by a total variation penalty. The smoothness is driven by a single penalty parameter, and to avoid cross‐validation, we derive an information criterion based on the idea of universal penalty. The penalized log‐likelihood maximization is reformulated as an ?₁‐penalized strictly convex programme whose unique solution is the density estimate. A Newton‐type method cannot be applied to calculate the estimate because the ?₁‐penalty is non‐differentiable. Instead, we use a dual block coordinate relaxation method that exploits the problem structure. By comparing with kernel, spline and taut string estimators on a Monte Carlo simulation, and by investigating the sensitivity to ties on two real data sets, we observe that the new estimator achieves good L ₁ and L ₂ risk for densities with sharp features, and behaves well with ties.     

试论市场经济成熟条件下商品流通渠道功能的变异

在市场经济发育和成长的不同阶段,商品流通渠道的功能将随着渠道组织结构、渠道管理水平、消费方式、渠道设施、信息技术等因素的变化而出现变异。在市场经济初级阶段,流通渠道的基本功能就是连接生产与消费,促成商品销售,实现商品价值。在市场经济的完善和成熟阶段,流通渠道将越来越多地引导生产和消费,通过商流、物流、信息流的传导与组织,挖掘和创造商品的新价值,提升原有商品的价值,从而使"渠道价值"越来越大。本文主要论述渠道功能在不同阶段的差异及表现。     

Natural (Non‐)Informative Priors for Skew‐symmetric Distributions

In this paper, we present an innovative method for constructing proper priors for the skewness (shape) parameter in the skew‐symmetric family of distributions. The proposed method is based on assigning a prior distribution on the perturbation effect of the shape parameter, which is quantified in terms of the total variation distance. We discuss strategies to translate prior beliefs about the asymmetry of the data into an informative prior distribution of this class. We show via a Monte Carlo simulation study that our non‐informative priors induce posterior distributions with good frequentist properties, similar to those of the Jeffreys prior. Our informative priors yield better results than their competitors from the literature. We also propose a scale‐invariant and location‐invariant prior structure for models with unknown location and scale parameters and provide sufficient conditions for the propriety of the corresponding posterior distribution. Illustrative examples are presented using simulated and real data.     

A study of R2 measure under the accelerated failure time models

For right-censored data, the accelerated failure time (AFT) model is an alternative to the commonly used proportional hazards regression model. It is a linear model for the (log-transformed) outcome of interest, and is particularly useful for censored outcomes that are not time-to-event, such as laboratory measurements. We provide a general and easily computable definition of the R² measure of explained variation under the AFT model for right-censored data. We study its behavior under different censoring scenarios and under different error distributions; in particular, we also study its robustness when the parametric error distribution is misspecified. Based on Monte Carlo investigation results, we recommend the log-normal distribution as a robust error distribution to be used in practice for the parametric AFT model, when the R² measure is of interest. We apply our methodology to an alcohol consumption during pregnancy data set from Ukraine.     

A note on stable limit theory for the OLSE with non usual rates and the heteroskedasticity robust Wald test

We are occupied with an example concerning the limit theory of the ordinary least squares estimator (OLSE) when the innovation process of the regression has the form of a martingale transform the iid part of which lies in the domain of attraction of an α-stable distribution, the scaling sequence has a potentially diverging truncated α-moment, and the regressor process has a potentially divergent truncated second moment. We obtain matrix rates that reflect the stability parameter as well as the slow variations present in the aforementioned sequences, and stable limits. We also derive asymptotic exactness, consistency, and local asymptotic unbiasedness under appropriate local alternatives for a heteroskedasticity robust Wald test based on subsampling. The results could be useful for inference on the factor loadings in an instance of the APT model.