科技英语语言特点探析

目前国际上具有重要参考价值的科技情报资料主要是以英文形式出现的,科技英语便是科技专业内容与英语信息载体高度结合的产物,它以表达科技专业概念、理论和事实为主要目的。科技英语的词汇、语法、句式结构等都有其区别于普通英语的特点。     

论我国公共财政框架中的财政监督体系建设

我国现行财政监督体系设置中存在着监督主体多元化、主体关系平行化、监督职能重叠化的问题,造成了财政监督实施中的执法单位职能相互混淆,监督"越位"或"缺位"和对被监督单位重复检查现象等问题,影响了财政监督执法的严肃性和财政监督的工作效率。为消除现行财政监督中的问题和弊端,重新构建适应我国公共财政内在要求的财政监督体系,应强化人民代表大会立法监督、实现预算的决策、执行和监督相分离、建立分层次实施和分级负责并避免对被监督单位重复检查的"立法监督+行政监督+社会监督"的全方位、分层次的复合型体系。     

基于句子级情感的中文网络评论的情感极性分类

为提高网络评论段落的情感极性分类准确率,在考虑人们表达习惯和语料粒度的基础上,提出一种基于句子情感的段落情感极性分类方法． 该方法通过句子的情感极性和句子的情感极性贡献度来对段落进行情感分类,采用传统分类方法预测句子的情感极性,提出等权重、相关度、情感条件假设 3 种方法,能够根据训练语料的统计数据动态地确定段落中不同位置句子的情感极性贡献度． 最后,以超过2个句子的手机和酒店网络评论为对象进行实验分析,实验结果显示,与传统方法相比,考虑了人们表达习惯的相关度和情感条件假设方法显著提高了段落分类的准确率,且具有一定的自适应性．     

培养复合型外语人才的教学模式探析

能力型外语人才培养模式要求建立并充分利用 CAI系统进行基础知识的教学 ,采用主题教学的课堂教学模式 ,把课上学习与课下学习结合起来 ,加强课外实践活动 ,并采用新的评估方法对学生成绩进行综合评估。     

汉语歧义句的句法理解策略

[摘 要]选取了汉语中常见的偏正和述宾两种能引起歧义的句型,以反应时和正确率作为因变量探讨在这两种句型中句子理解的策略。采用VB编程语言,对所选句子用移动视窗的方法进行呈现。实验结果表明：1在这两种句子中,被试的阅读时间和正确率均没有差异;2在这两种结构句子中,歧义词和解歧词反应时上均有显著差异;3在两种句型中两个歧义词之间的反应时差异非常显著; 4偏正结构和述宾结构的句子在不同位置上的解岐词的反应时差异显著;5 性别因素的主效应不显著,并且和句型之间也不存在交互作用。以上的实验结果证明人们在阅读刚开始时就已经建立起句法结构,并且对句子的理解是整合的结果,但是对歧义部分的阅读却是即时的。     

拓展句子--日语写作的基础

日语写作是日语学习者比较艰难的训练过程。拓展句子不啻是词汇的简单迭加,还是在语法、修辞训练过程中对写作技巧和规律的把握。这要求通过把握拓展的界定、训练及在教学中应注意的问题,实现为迁移而教的目的,推动学生习惯于日语思维和日语文章的创作,进而完善日语写作的学科建设。,To Japanese learners, Japanese writing is a difficult training process. Expanding Sentence is not only a simple puttin g words together, but also the grasp of writing skills and rules through the tra ining of grammar and rhetoric. The expanding needs to be defined and trained and the problems which should be paid attention to in the teaching needs to be gras p ed. By the above, we can achieve the aim of teaching for transfer, promote s t udents' thinking and writing in Japanese and perfect the subjects building of Ja panese writing.     

复合动词及其理据再认识

在调查基础上 ,重新评估复合动词的数量和使用现状 ,进一步研究了词的理据 ,认为 :复合动词的语义逻辑含义为简缩性标记语 ;主要语用修辞功能是简炼与强调 ;主要合成方式则是“显性简缩式”的缩造法和“隐性简缩式”的转换法。文章最后预测 ,复合动词在新世纪将有大发展。     

“会展建筑历史与理论”课程的实践性教学探索

针对社会经济发展对会展人才的要求,从会展与技术设计专业的学科基础课入手,从拓宽教学目标、提升教学理念、设立研究专题、构建课程交流体系、优化考核标准等方面对“会展建筑历史与理论“的实践性教学探索进行总结,为会展专业的宽口径特色、满足复合型人才培养目标的教学方法改革提供成功的经验.     

Optimal control strategies for dividend payments and capital injections in compound Markov binomial risk model with penalties for deficits

We consider the compound Markov binomial risk model. The company controls the amount of dividends paid to the shareholders as well as the capital injections in order to maximize the cumulative expected discounted dividends minus the discounted capital injections and the discounted penalties for deficits prior to ruin. We show that the optimal value function is the unique solution of an HJB equation, and the optimal control strategy is a two-barriers strategy given the current state of the Markov chain. We obtain some properties of the optimal strategy and the optimal condition for ruining the company. We offer a high-efficiency algorithm for obtaining the optimal strategy and the optimal value function. In addition, we also discuss the optimal control problem under a restriction of bounded dividend rates. Numerical results are provided to illustrate the algorithm and the impact of the penalties.     

Correlated random effects regression analysis for a log-normally distributed variable

In regression analysis, it is assumed that the response (or dependent variable) distribution is Normal, and errors are homoscedastic and uncorrelated. However, in practice, these assumptions are rarely satisfied by a real data set. To stabilize the heteroscedastic response variance, generally, log-transformation is suggested. Consequently, the response variable distribution approaches nearer to the Normal distribution. As a result, the model fit of the data is improved. Practically, a proper (seems to be suitable) transformation may not always stabilize the variance, and the response distribution may not reduce to Normal distribution. The present article assumes that the response distribution is log-normal with compound autocorrelated errors. Under these situations, estimation and testing of hypotheses regarding regression parameters have been derived. From a set of reduced data, we have derived the best linear unbiased estimators of all the regression coefficients, except the intercept which is often unimportant in practice. Unknown correlation parameters have been estimated. In this connection, we have derived a test rule for testing any set of linear hypotheses of the unknown regression coefficients. In addition, we have developed the confidence ellipsoids of a set of estimable functions of regression coefficients. For the fitted regression equation, an index of fit has been proposed. A simulated study illustrates the results derived in this report.