计算机基础课程与大学生信息素养教育研究

本文阐述了信息素养的内涵,指出了计算机基础课程教育中信息素养培养的不足,提出了在计算机基础课程中整合图书馆教育、加强教学实践、利用校园网教学资源培养学生信息素质的新途径。     

Combining Occurrence and Toxicity Information to Identify Priorities for Drinking-Water Mixture Research

Characterizing all possible chemical mixtures in drinking water is a potentially overwhelming project, and the task of assessing each mixture's net toxicity even more daunting. We propose that analyzing occurrence information on mixtures in drinking water may help to narrow the priorities and inform the approaches taken by researchers in mixture toxicology. To illustrate the utility of environmental data for refining the mixtures problem, we use a recent compilation of national ground-water-quality data to examine proposed U.S. Environmental Protection Agency (EPA) and Agency for Toxic Substances and Disease Registry (ATSDR) models of noncancer mixture toxicity. We use data on the occurrence of binary and ternary mixtures of arsenic, cadmium, and manganese to parameterize an additive model and compute hazard index scores for each drinking-water source in the data set. We also use partially parameterized interaction models to perform a bounding analysis estimating the interaction potential of several binary and ternary mixtures for which the toxicological literature is limited. From these results, we estimate a relative value of additional toxicological information for each mixture. For example, we find that according to the U.S. EPA's interaction model, the levels of arsenic and cadmium found in U.S. drinking water are unlikely to have synergistic cardiovascular effects, but the same mixture's potential for synergistic neurological effects merits further study. Similar analysis could in future be used to prioritize toxicological studies based on their potential to reduce scientific and regulatory uncertainty. Environmental data may also provide a means to explore the implications of alternative risk models for the toxicity and interaction of complex mixtures.     

基于教学管理信息平台的考试质量分析系统

考试质量分析是高校教学质量监控的重要环节,也是反思教学、评价教学效果的重要信息。长期以来由于方法手段的制约,大量原始数据不能转化为考试质量分析的有效信息。本文在教学管理与质量监控的操作层面上,设计了考试质量分析的管理目标框架、信息流向结构、量化分析标准、质性分析模块和信息反馈路径,构建了为教师、管理者、决策者服务的、基于教学管理信息平台的考试质量分析系统。     

会计从业资格取得方式的变更与现状研究

会计从业资格是会计法规对于会计行业的一项准入制度,是会计法律体系的重要组成部分,使会计行业的从业结构与管理方法更加规范、合理。针对从业资格的取得方式,阐述现行会计从业资格考试取得条件的变更以及对从业资格取得过程进行研究。     

翻译过程的认知心理描述——Bell翻译过程的信息加工模式评介

翻译作为人类最复杂的认知活动之一,一直没有得到人们应有的重视,现有的多数研究总以翻译的结果--译作为对象,对翻译过程的研究相对不足.Bell的翻译过程模式以系统功能语言学为基本理论框架,从语言理解的角度,对翻译的心理过程进行了描述,虽然有种种缺陷,但基本上反映了翻译的本质,是具有科学性和一定操作性的一个模式.翻译研究应该重视对翻译过程的研究.     

股指期货信息内含股价变动信息的挖掘 ――小波框架与支持向量回归的金融建模应用

 内容提要：中国股指期货的推出指日可待，交易者多了一种投资工具的同时也带来了新的风险。建立准确的金融时间序列预测模型是逐利及避险的方法之一，一直是学者专家研究的热点。本研究结合小波转换与支持向量回归，提出一个二阶段时间序列预测模型。先以离散小波框架将预测变量分解成不同尺度的多个子序列，揭示隐藏在预测变量内的信息，再以支持向量回归为工具，以这些子序列为预测变量建构SVR模型。本研究以日经225指数开盘价为预测目标，以期货开盘价为预测变量对模型进行实证研究，结果显示，该模型的预测绩效比单纯SVR模型及随机漫步模型好。未来可尝试以不同的基底函数作进一步研究。     

Censored Kullback-Leibler Information and Goodness-of-Fit Test with Type II Censored Data

The Kulback-Leibler information has been considered for establishing goodness-of-fit test statistics, which have been shown to perform very well (Arizono & Ohta, 1989; Ebrahimi et al., 1992, etc). In this paper, we propose censored Kullback-Leibler information to generalize the discussion of the Kullback-Leibler information to the censored case. Then we establish a goodness-of-fit test statistic based on the censored Kullback-Leibler information with the type 2 censored data, and compare the test statistics with some existing test statistics for the exponential and normal distributions.     

On Bayesian estimators in multistage binomial designs

A new class of Bayesian estimators for a proportion in multistage binomial designs is considered. Priors belong to the beta-J distribution family, which is derived from the Fisher information associated with the design. The transposition of the beta parameters of the Haldane and the uniform priors in fixed binomial experiments into the beta-J distribution yields bias-corrected versions of these priors in multistage designs. We show that the estimator of the posterior mean based on the corrected Haldane prior and the estimator of the posterior mode based on the corrected uniform prior have good frequentist properties. An easy-to-use approximation of the estimator of the posterior mode is provided. The new Bayesian estimators are compared to Whitehead's and the uniformly minimum variance estimators through several multistage designs. Last, the bias of the estimator of the posterior mode is derived for a particular case.     

进位保留阵列乘法器的一种内建自测试

对进位保留阵列乘法器提出了一种内建自测试方案。设计实现了采用累加器生成测试序列和压缩响应,并提出了一种改进的测试向量生成方法。分析与实验结果表明,该方案能实现非冗余固定型故障的完全覆盖。由于乘法器在数据通路中常伴有累加器,该方案通过对已有累加器的复用,作为测试序列生成和响应压缩,减少了硬件占用和系统性能占用,同时具有测试向量少、故障覆盖率高的特点。     

金融深化与经济增长：西部地区“悖论”的实证

西部地区的金融深化似乎并没有有效促进该地区的经济增长，运用协整理论、误差修正模型和格兰杰因果检验实证分析的结果也表明西部金融深化与经济增长之间确实存在着“悖论”。“悖论”出现的原因是西部地区金融深化难以有效积累资本，并且该地区经济投资效率低下。必须积极推进西部金融体制改革，提高西部金融业的运作效率。加大对西部地区的财政金融支持力度，提升西部产业结构层次，大力发展非国有经济，才能使西部金融深化有效促进该地区经济增长。