A Stylistic Analysis of Hemingway’s A Clean,Well-Lighted Place

One important theme of Hemingway＇s A Clean, Well-Lighted Place is the nothingness of life itself, At the beginning of this short story, Hemingway presents a setting--the cafe, which is familiar to us, and then moves our attention to focus on the characters within that setting, The story is told through the dialogues between the two waiters and is in third-person narration, In the following paragraphs we will focus on stylistic characteristics of this short story,     

管理与文化的关系探讨

管理与文化的关系在学术界有众多争论,二者构成一了个纠缠的“结”(com p lex)。管理学追求普适性,而文化表现特殊性,二者之结导致管理学研究出现了相应的偏差。文化在管理中的作用包括价值定位、优先选择、惯习支配、思维方式4个方面,对这4个方面的管理学研究,最终要形成超越特殊性的普适性学说。所谓中国式管理和东方管理学,正是在这一纽结上陷入了歧途。相当多的管理文化研究,实际上是管理经验总结而背离了管理学的普适要求。管理学中对文化的重视,需要回归管理学的普适性。     

论《狮子王》、《王的男人》、《夜宴》对《哈姆莱特》的改写——以对哈姆莱特“俄狄浦斯情结”的改写为中心

当代三部影视作品《狮子王》、《王的男人》和《夜宴》是基于弗洛伊德学说对《哈姆莱特》进行的改写，它们由弗洛伊德对哈姆莱特“俄狄浦斯情结”的精神分析式阐释生发而成，旁证了弗洛伊德观点的影响力，并为我们重新考量弗洛伊德的哈姆莱特阐释提供了新的启示和机会。     

Classical testing in functional linear models

We extend four tests common in classical regression – Wald, score, likelihood ratio and F tests – to functional linear regression, for testing the null hypothesis, that there is no association between a scalar response and a functional covariate. Using functional principal component analysis, we re-express the functional linear model as a standard linear model, where the effect of the functional covariate can be approximated by a finite linear combination of the functional principal component scores. In this setting, we consider application of the four traditional tests. The proposed testing procedures are investigated theoretically for densely observed functional covariates when the number of principal components diverges. Using the theoretical distribution of the tests under the alternative hypothesis, we develop a procedure for sample size calculation in the context of functional linear regression. The four tests are further compared numerically for both densely and sparsely observed noisy functional data in simulation experiments and using two real data applications.     

叠前时间偏移技术在东濮凹陷应用的认识

东濮凹陷断裂复杂，多断块、多套生储盖组合，叠后偏移成像效果不佳。叠前时间偏移技术在这一复杂断块区的应用可以改善成像效果。研究提出了一套以速度迭代为核心、地质信息为约束的求取偏移速度场的改进方法，提高了偏移速度的精度；通过对偏移孔径、最大偏移角度、射线路径、去假频4个关键参数处理的分析,得出适合东濮凹陷地震资料特点的经验参数，减少了以后处理过程中的试验工作量和参数试验的盲目性，有效地提高了处理效率。通过叠前时间偏移，提高了复杂断块地区成像精度，能够准确地落实断层位置和认识断块之间的关系，与井资料的吻合程度较高，取得了明显的地质效果。     

Multiperiod Forecasts of Interest Rates

The accuracy of forecasts of interest rates over different forecast horizons and time periods is examined. The results indicate a deterioration in “absolute” forecast accuracy measured by the mean absolute error and the root mean squared error but no decrease in “relative” accuracy measured by the Theil coefficient with an increase in the forecast span. The results also indicate a decline in accuracy in periods of volatile interest rates. Support is found for the hypothesis that the ratio of the variability of predicted changes to that of actual changes falls with an increase in the forecast horizon.     

论新闻计算句子长短的句子标准

新闻语体的句子应该比其他语体的句子短，这是由新闻的易读性决定的。但是目前的一些新闻语言研究中，统计出的句子比其他语体的句子还要长几倍。一些新闻语言研究中同时以单句和复句为单位。单句和复句在语法结构上不是同一层级的语言单位，同时作为计算单位，是违反逻辑的。语法系统中，小句是基本的句子，是传递信息的基本单位。新闻语言研究中也应以小句为计算单位。     

基于“布局”理论视角的企业间社会网络结构与复杂适应

对中国一家多元化企业集团20年的发展进行个案跟踪研究,试图理解在竞争环境中,组织如何通过对社会网络结构与机会的"布局"来获益。研究得出,布局是不同于企业战略规划的、关于平衡的行动逻辑。布局的机制表现为平衡紧密网络与松散网络,从网络与机会的共建中实现关系再生产与组织成长,达到对环境的复杂适应。     

Some small-sample results on a bounded influence rank regression method

Naranjo and HeUmansperger (1994) recently derved a bounded influence rank regression method and suggested how hypotheses about the regression coefficients might be tested. This brief note reports some simulation results on how their procedure performs when there is one predictor. Even when the error term is highly skewed, good control over the Type I error probability is obtained Power can be high relative to least squares regression when the error term has a heavy tailed distribution .and the predictor has a symmetric distribution However, if the predictor has a skewed distribution, power can be relatively low even when the distribution of the error term is heavy tailed. Despite this, it is argued that their method provides an important and useful alternative to ordinary least squares as well as other robust regression methods.