2000～2005年张闻天外交思想研究述略

外交思想研究是张闻天研究的一个重要组成部分。2000～2005年,学术界对张闻天的国际战略思想、外交政策思想、外交风格及其在外交战线上的实务工作等都进行了研究,也取得了一定的成绩,但在张闻天的总体研究中仍处于薄弱地位。     

描述译学的语言学模式

始于20世纪70年代的描述翻译学,因其具有理论和应用双重属性,有助于翻译理论研究和实践研究之间的沟通.而系统功能语言学,作为一种基于人类学、社会学、符号学的现代语言学理论,与描述翻译学具有相通的语言观、系统观和功能观.由此,系统功能语言学的系统理论、功能理论、语境理论,能够为描述翻译学提供一种更为细致、有效的研究途径.     

民族共生理论:散杂居民族关系及目标范示研究

本文以生物学中的共生理论为参照,基于生物共生理论的理念范畴和分析方法,结合生物共生理论在其他领域的研究成果,重点考察了我国散杂居民族的共生关系,并提供了民族共生目标范式以及实现途径.     

博物馆人类学刍议

博物馆与人类学有渊源关系。博物馆人类学所指涉的基本概念包括"在博物馆中实践的人类学"和"有关博物馆的人类学"两方面。前者指博物馆物品征集(人类学田野工作)、博物馆典藏研究(民族志物品的意义诠释)、博物馆展示与教育(文化的建构与诠释);后者主要关注内容包括社区博物馆的在地化思考、信息时代的博物馆知识建构与文化多样性、博物馆知识生产与非遗保护呈现的文化政治。     

对日本《大正新修大藏经》中“释门文范”部分条目的校录与研究

日本《大正新修大藏经》1922～1934编辑出版,以后经多次重印。从佛教文献校录的角度出发,学术界一直在努力研究它所录文字存有的讹误,《大正新修大藏经》第85册中收录了一些敦煌卷子中关于佛家做各种日常民间法事所可能用到的"应用文"格式,《敦煌宝藏》将此类文书定名为"释门应用文范"。     

An Exploration of the Need to Build an Evaluation Index System for Economic and Social Development in the Southwest’s Ethnic Region

An evaluation index system for eco￣nomic and social development is guiding the trends and actions of economic development in different countries or regions. However,the evaluation index system should b...     

母语在藏族大学生识记中的作用

通过对藏族大学生在识记不同语言材料时表现出不同效果的分析,从信息加工的角度阐述了母语是识记的基础,是识记表象建立的关键,母语所反映的认知取向决定了识记的侧重点。     

Dose‐Response Models Incorporating Aerosol Size Dependency for Francisella tularensis

The effect of bioaerosol size was incorporated into predictive dose‐response models for the effects of inhaled aerosols of Francisella tularensis (the causative agent of tularemia) on rhesus monkeys and guinea pigs with bioaerosol diameters ranging between 1.0 and 24 μm. Aerosol‐size‐dependent models were formulated as modification of the exponential and β‐Poisson dose‐response models and model parameters were estimated using maximum likelihood methods and multiple data sets of quantal dose‐response data for which aerosol sizes of inhaled doses were known. Analysis of F. tularensis dose‐response data was best fit by an exponential dose‐response model with a power function including the particle diameter size substituting for the rate parameter k scaling the applied dose. There were differences in the pathogen's aerosol‐size‐dependence equation and models that better represent the observed dose‐response results than the estimate derived from applying the model developed by the International Commission on Radiological Protection (ICRP, 1994) that relies on differential regional lung deposition for human particle exposure.     

Model Uncertainty and Bayesian Model Averaged Benchmark Dose Estimation for Continuous Data

The benchmark dose (BMD) approach has gained acceptance as a valuable risk assessment tool, but risk assessors still face significant challenges associated with selecting an appropriate BMD/BMDL estimate from the results of a set of acceptable dose‐response models. Current approaches do not explicitly address model uncertainty, and there is an existing need to more fully inform health risk assessors in this regard. In this study, a Bayesian model averaging (BMA) BMD estimation method taking model uncertainty into account is proposed as an alternative to current BMD estimation approaches for continuous data. Using the “hybrid” method proposed by Crump, two strategies of BMA, including both “maximum likelihood estimation based” and “Markov Chain Monte Carlo based” methods, are first applied as a demonstration to calculate model averaged BMD estimates from real continuous dose‐response data. The outcomes from the example data sets examined suggest that the BMA BMD estimates have higher reliability than the estimates from the individual models with highest posterior weight in terms of higher BMDL and smaller 90th percentile intervals. In addition, a simulation study is performed to evaluate the accuracy of the BMA BMD estimator. The results from the simulation study recommend that the BMA BMD estimates have smaller bias than the BMDs selected using other criteria. To further validate the BMA method, some technical issues, including the selection of models and the use of bootstrap methods for BMDL derivation, need further investigation over a more extensive, representative set of dose‐response data.     

A Diversity Index for Model Space Selection in the Estimation of Benchmark and Infectious Doses via Model Averaging

In chemical and microbial risk assessments, risk assessors fit dose‐response models to high‐dose data and extrapolate downward to risk levels in the range of 1–10%. Although multiple dose‐response models may be able to fit the data adequately in the experimental range, the estimated effective dose (ED) corresponding to an extremely small risk can be substantially different from model to model. In this respect, model averaging (MA) provides more robustness than a single dose‐response model in the point and interval estimation of an ED. In MA, accounting for both data uncertainty and model uncertainty is crucial, but addressing model uncertainty is not achieved simply by increasing the number of models in a model space. A plausible set of models for MA can be characterized by goodness of fit and diversity surrounding the truth. We propose a diversity index (DI) to balance between these two characteristics in model space selection. It addresses a collective property of a model space rather than individual performance of each model. Tuning parameters in the DI control the size of the model space for MA.