现代汉语“追累”句式的生成研究述评

"追累"是现代汉语中一种典型的多歧义动结式,有主语指向、宾语指向和施受颠倒三种解读,是汉语研究中的一个热点问题。近二十年来,"追累"句式的生成研究取得了丰硕的成果,但在复合词"追累"的生成方式上仍然存在较大争议。本文以这些争议为线索,对词汇生成论、词汇句法生成论和句法生成论等几种论点进行了评析,最后总结了相关研究所取得的成果并指出了今后有待进一步深入研究的几个问题。     

A CHILD PSYCHOTHERAPIST IN PRIMARY MENTAL HEALTH

This paper outlines the author's application of psychodynamic thinking and approaches to brief therapeutic work with children, adolescents and their families in community mental health settings. It is the author's belief that systemic and narrative therapy insights and techniques combine well with psychoanalysis in the assessment and treatment of many concerns felt and expressed by parents and young people. The therapist's tasks are to listen empathically to clients who are in distress and to explore the clients' beliefs about the origins of their problems, as well as their previously attempted solutions. In proceeding at the family's pace, opportunities arise for facilitating more effective ways of resolving conflict. Clients are often more free than they realise to change their interpretation of their experience, and this has important consequences for the maintenance and solution of problems. Brief therapy seeks to remind clients of their strengths and resources and to share ways to encourage clients to resume effective ways of learning about themselves.     

Discriminant coordinates analysis for multivariate functional data

Abstract

One of the basic statistical methods of dimensionality reduction is analysis of discriminant coordinates given by Fisher (1936 Fisher, R. A. 1936. The use of multiple measurements in taxonomic problem. Annals of Eugenics 7 (2):179–88. doi:10.1111/j.1469-1809.1936.tb02137.x.[Crossref] , [Google Scholar]) and Rao (1948). The space of discriminant coordinates is a space convenient for presenting multidimensional data originating from multiple groups and for the use of various classification methods (methods of discriminant analysis). In the present paper, we adapt the classical discriminant coordinates analysis to multivariate functional data. The theory has been applied to analysis of textural properties of apples of six varieties, measured over a period of 180?days, stored in two types of refrigeration chamber.     

Neo-Materialist Ecologies and Global Systemic Crises

Liberal international relations theory largely rests on the assumption that the contemporary international liberal order is robust enough to withstand crises of political authority and/or economic slumps. Yet, this raises a central question: what is a crisis in the deep principles of a global political and economic order? In this essay, I seek to rethink crisis theory in light of prevailing assumptions about the longevity of the contemporary liberal international order. I examine how catalysts of crises can be the effects of non-human actors that intensify or crystalize moments of instability. From global ecological feedback loops, to high-frequency trading and automated factories, the processes of production and distribution increasingly reflect global networks that transcend day-to-day human decisions. Rethinking systemic crisis necessitates understanding the ways in which non-human actants constitute and destabilize larger political assemblages.     

Estimation and simulation of conditional hazard function in the quasi-associated framework when the observations are linked via a functional single-index structure

We consider the estimation of the conditional hazard function of a scalar response variable Y given a Hilbertian random variable X when the observations are linked via a single-index structure in the quasi-associated framework. We establish the pointwise almost complete convergence and the uniform almost complete convergence (with the rate) of the estimate of this model. A simulation is given to illustrate the good behavior in the practice of our methodology.     

数量体现述式的系统功能语法研究

系统功能语言学中的系统语法是体现性语法，语言被视为意义资源系统，而非封闭自足的规则系统。系统语法和阶与范畴语法的一个变化就是体现述式的引入，体现述式是对层际或层内体现关系的一种建模由操作项和操作符构成。系统功能语法主要识别了插入、排序、重合、扩展、预选等五种体现述式，本文基于系统功能语法对数量在体现过程中的体现述式进行跨语言的探索研究。      

The estimation of treatment effect for the censored bivariate data under the univariate censoring

This paper establishes a nonparametric estimator for the treatment effect on censored bivariate data under unvariate censoring. This proposed estimator is based on the one from Lin and Ying(1993)'s nonparametric bivariate survival function estimator, which is itself a generalized version of Park and Park(1995)' quantile estimator. A Bahadur type representation of quantile functions were obtained from the marginal survival distribution estimator of Lin and Ying' model. The asymptotic property of this estimator is shown below and the simulation studies are also given     

The measurement of capital utilisation rates

A strategy using spline function interpolation is developed f o r estimating capital utilisation rates . Cobb-Douglas, CES and translog functional forms are used in estimation. Tests for functional forms are conducted leading t o t h e s e l e c t i o n of the Cobb-Douglas form. Quarterly series of estimated utilisation rates and excess capacity measures are presented.     

Predicting infectious disease outbreak risk via migratory waterfowl vectors

The spread of an emerging infectious disease is a major public health threat. Given the uncertainties associated with vector-borne diseases, in terms of vector dynamics and disease transmission, it is critical to develop statistical models that address how and when such an infectious disease could spread throughout a region such as the USA. This paper considers a spatio-temporal statistical model for how an infectious disease could be carried into the USA by migratory waterfowl vectors during their seasonal migration and, ultimately, the risk of transmission of such a disease to domestic fowl. Modeling spatio-temporal data of this type is inherently difficult given the uncertainty associated with observations, complexity of the dynamics, high dimensionality of the underlying process, and the presence of excessive zeros. In particular, the spatio-temporal dynamics of the waterfowl migration are developed by way of a two-tiered functional temporal and spatial dimension reduction procedure that captures spatial and seasonal trends, as well as regional dynamics. Furthermore, the model relates the migration to a population of poultry farms that are known to be susceptible to such diseases, and is one of the possible avenues toward transmission to domestic poultry and humans. The result is a predictive distribution of those counties containing poultry farms that are at the greatest risk of having the infectious disease infiltrate their flocks assuming that the migratory population was infected. The model naturally fits into the hierarchical Bayesian framework.