学生英语词汇量的现状及扩大词汇量的语音手段

本文用包括深圳大学在内的具体事实和数据阐明了学生英语词汇量普遍偏低的现状及其危害,并在宏观上指出教师应负的责任,进而介绍了帮助学生扩大词汇量的八种行之有效的语音手段。     

顾客价值创新:战略分析的基点

传统的战略分析是以竞争为基点的。其目的是如何比竞争对手做得更好。在这种思维指导下 ,企业经营往往产生竞争激烈、市场不敏感、反应性行为、缺乏创新等后果。在复杂多变的环境中 ,战略分析应转移到顾客价值创新上来。顾客价值创新战略通过为顾客提供完全新型或得到重大改进的价值而使企业经营与竞争无关。顾客价值创新战略与竞争基点战略在战略导向、对竞争的认知及态度、企业本身实力的认识等具有明显不同的特征 ;进行顾客价值创新可以按照顾客价值创新循环机制进行 ,这一循环机制以顾客消费流程分析为起点 ,由创新机会认别、资源需求分析及价值创新实施等环节构成。     

一般Gauss－Markov模型下一般可估函数的线性充分性和线性完全性

发展了Ｂａｋｓａｌａｒｙ和Ｄｒｙｇａｓ提出的一般Ｇａｕｓｓ－Ｍａｒｋｏｖ模型中线性充分性、最小充分性和完全性的概念，用Ｒａｏ的最小二乘统一理论，给出了这些概念的刻划定理。     

论地方综合大学外语教学三维一体管理的模式

根据地方综合性大学的特点,确立外语教师、学生、辅导员三维一体的教学管理模式具有它的可行性。在这个模式中,教师是教学系统稳态的维系力量,学生是外语教学的主体,辅导员对学生外语学习活动起着导向作用。其三者之间是缺一不可的良性互动的辩证关系。     

文学性言外行为的隐蔽性分析

文学性言外行为与普通交际性语言的言外行为有所不同 ,文学性言外行为的隐蔽性是由于文学标准、作家对社会文化政治情况的考虑、文学符号的艺术性以及作家对读者群定位造成的     

汉语词语构成的音节因素和节奏语感的培养

汉语音节和构调、词语搭配存在相关性。语素的音节特点、双音节化倾向、四字格成语的大量存在和音节式的缩略词是音节和构词相关性的重要方面。汉语的音节特点也影响到单、双音节词语的相互搭配以及某些虚词的使用。汉语学习者的语言错误有不少是由不了解词语构成在音节和语音节律方面的制约因素而引起的。从语言交际技能的角度看,准确把握节奏规律的实质就是建立准确、健全的节奏语感,而加强诵读教学便是有效方法之一。     

谈英语语言中的性别歧视和种族歧视

语言是社会和文化的重要组成部分。种族歧视和性别歧视作为一种社会现象必然会影响到作为社会交际工具的语言,种族歧视和性别歧视必然会在语言中反映出来。本文对英语中的种族歧视和性别歧视的种种现象进行了探讨,并指出了产生歧视的原因。     

Do You Speak English? Language Barriers in Child Protection Social Work with Minority Ethnic Families

This paper critically evaluates research and literature on childprotection social work practice with minority ethnic familieswho speak little or no English. Though the focus is on childprotection, many of the themes raised should be transferableacross to other areas and disciplines. Specifically, the paperfocuses on the limitations and difficulties of using professionalinterpreters in child protection work and covers themes likethe availability of interpreters, the role of interpreters,suitability of interpreters, the interpretation of particularwords and phrases, and manipulating the interpreting process.The paper then moves on to address the important but often neglectedarea of using children as interpreters, and ends by consideringthe broader issue of how language barriers can exacerbate discriminationagainst minority ethnic families.     

Robust confidence interval for a residual standard deviation

The residual standard deviation of a general linear model provides information about predictive accuracy that is not revealed by the multiple correlation or regression coefficients. The classic confidence interval for a residual standard deviation is hypersensitive to minor violations of the normality assumption and its robustness does not improve with increasing sample size. An approximate confidence interval for the residual standard deviation is proposed and shown to be robust to moderate violations of the normality assumption with robustness to extreme non-normality that improves with increasing sample size.     

Uncertainty Analysis for Computer Model Projections of Hurricane Losses

Projecting losses associated with hurricanes is a complex and difficult undertaking that is wrought with uncertainties. Hurricane Charley, which struck southwest Florida on August 13, 2004, illustrates the uncertainty of forecasting damages from these storms. Due to shifts in the track and the rapid intensification of the storm, real-time estimates grew from 2 to 3 billion dollars in losses late on August 12 to a peak of 50 billion dollars for a brief time as the storm appeared to be headed for the Tampa Bay area. The storm hit the resort areas of Charlotte Harbor near Punta Gorda and then went on to Orlando in the central part of the state, with early poststorm estimates converging on a damage estimate in the 28 to 31 billion dollars range. Comparable damage to central Florida had not been seen since Hurricane Donna in 1960. The Florida Commission on Hurricane Loss Projection Methodology (FCHLPM) has recognized the role of computer models in projecting losses from hurricanes. The FCHLPM established a professional team to perform onsite (confidential) audits of computer models developed by several different companies in the United States that seek to have their models approved for use in insurance rate filings in Florida. The team's members represent the fields of actuarial science, computer science, meteorology, statistics, and wind and structural engineering. An important part of the auditing process requires uncertainty and sensitivity analyses to be performed with the applicant's proprietary model. To influence future such analyses, an uncertainty and sensitivity analysis has been completed for loss projections arising from use of a Holland B parameter hurricane wind field model. Uncertainty analysis quantifies the expected percentage reduction in the uncertainty of wind speed and loss that is attributable to each of the input variables.