《麦克白》咒语现象解析

咒语现象是《麦克白》整出戏剧极富魅力的表现元素。它既为剧本奠定了一种神秘而阴森的基调,同时确定全局总纲,为剧情发展起到重要的推动作用。咒语与主人公的性格、行为以及内心活动、命运走向息息相关,并最终导致麦克白命运悲剧的发生。集众恶于一身的女巫是咒语现象的主体,艰深晦涩、言辞激烈的诗体是咒语的具体表现形式,咒语的预言性质笼罩全篇,影响着人物的内心恶念,推动剧情发展,成为贯穿全剧始终的主题线索。     

Behavioral responses of rural and urban greater white-toothed shrews (Crocidura russula) to sound disturbance

Urban Ecosystems - The development of urban areas imposes challenges that wildlife must adapt to in order to persist in these new habitats. One of the greatest changes brought by urbanization has...     

A Graphical Tool for Interpreting Regression Coefficients of Trinomial Logit Models

Multinomial logit (also termed multi-logit) models permit the analysis of the statistical relation between a categorical response variable and a set of explicative variables (called covariates or regressors). Although multinomial logit is widely used in both the social and economic sciences, the interpretation of regression coefficients may be tricky, as the effect of covariates on the probability distribution of the response variable is nonconstant and difficult to quantify. The ternary plots illustrated in this article aim at facilitating the interpretation of regression coefficients and permit the effect of covariates (either singularly or jointly considered) on the probability distribution of the dependent variable to be quantified. Ternary plots can be drawn both for ordered and for unordered categorical dependent variables, when the number of possible outcomes equals three (trinomial response variable); these plots allow not only to represent the covariate effects over the whole parameter space of the dependent variable but also to compare the covariate effects of any given individual profile. The method is illustrated and discussed through analysis of a dataset concerning the transition of master’s graduates of the University of Trento (Italy) from university to employment.     

Reviews of Academic English Listening Tests for Non-Native Speakers

This article presents a review of 20 tests designed for assessing the academic English listening skill of second or foreign language learners. The available test information has been systematically condensed in purpose, listening construct, task characteristics, and validity evidence. It was found that most of the tests were developed for proficiency and placement purposes in academic contexts, with few of the tests serving for making workplace decisions. Also, global, local, and inferential skills constitute the construct in most listening comprehension tests. A practical approach for justifying the uses of these tests for different stakeholders is discussed. This review is a valuable resource for educators, administrators, test developers, and researchers looking for a comprehensive analysis of existing English tests that assess listening comprehension in second or foreign language learners.     

Professional blinders? The novel as an eye-opener in organizational analysis

ABSTRACT

Scholarly textbooks often follow a logic where suitable empirical cases are selected to illustrate the theoretical and analytical points that we as scholars want to make. But what would happen if we would do the opposite: build a textbook on a novel written by a novelist for such purpose and let the theories explain the actions and emotions of fictional characters? In this article, we share and reflect upon our experiences of co-authoring a textbook in organization theory together with a professional novelist. We argue that the novel can function as an eye-opener in organizational analysis, forcing us to look beyond more static and rationalistic perspectives on organizations as well as the stereotypes of such. We build and relate our experiences to the growing literature about using fiction in scholarly work and discuss the potential of such genre-bending work when we bring in flesh and blood into the analyses.     

A pixel level evaluation of five multitemporal global gridded population datasets: a case study in Sweden, 1990–2015

Population and Environment - Human activity is a major driver of change and has contributed to many of the challenges we face today. Detailed information about human population distribution is...     

A New Methodology for Before–After Safety Assessment Using Survival Analysis and Longitudinal Data

The widely used empirical Bayes (EB) and full Bayes (FB) methods for before–after safety assessment are sometimes limited because of the extensive data needs from additional reference sites. To address this issue, this study proposes a novel before–after safety evaluation methodology based on survival analysis and longitudinal data as an alternative to the EB/FB method. A Bayesian survival analysis (SARE) model with a random effect term to address the unobserved heterogeneity across sites is developed. The proposed survival analysis method is validated through a simulation study before its application. Subsequently, the SARE model is developed in a case study to evaluate the safety effectiveness of a recent red‐light‐running photo enforcement program in New Jersey. As demonstrated in the simulation and the case study, the survival analysis can provide valid estimates using only data from treated sites, and thus its results will not be affected by the selection of defective or insufficient reference sites. In addition, the proposed approach can take into account the censored data generated due to the transition from the before period to the after period, which has not been previously explored in the literature. Using individual crashes as units of analysis, survival analysis can incorporate longitudinal covariates such as the traffic volume and weather variation, and thus can explicitly account for the potential temporal heterogeneity.     

裴迪考论

裴迪是和王维同时而稍后的田园诗人 ,他的一生中大概有 2 0年是跟随着王维度过的。裴迪在唐代并不是显赫的诗人。但是他与当时除了李白以外的其他大诗人都有或多或少的联系。考证他的事迹和与这些诗人的关系 ,也可以使这些诗人得到更多的还原以被人们了解。     

Bayesian networks for imputation

Summary.  Bayesian networks are particularly useful for dealing with high dimensional statistical problems. They allow a reduction in the complexity of the phenomenon under study by representing joint relationships between a set of variables through conditional relationships between subsets of these variables. Following Thibaudeau and Winkler we use Bayesian networks for imputing missing values. This method is introduced to deal with the problem of the consistency of imputed values: preservation of statistical relationships between variables ( statistical consistency ) and preservation of logical constraints in data ( logical consistency ). We perform some experiments on a subset of anonymous individual records from the 1991 UK population census.