藏族学生英语教学的认知依据和认知准备

教学的良好效果在很大程度上取决于教学的各个环节是否与学习者的认知模式相吻合 ,和教学双方在教学活动中充分的认知准备。由于独特的自然、历史和文化的影响 ,藏族学生具有明显的神秘、具象、经验和“比量”的群体认知趋向。在把握这些认知趋向的基础上 ,藏族英语教学可分别从教师、学生、教材和对教学主体模式的预知等四个方面完成前教学阶段的认知准备。同时 ,应充分意识到教学中的民族性和独特性 ,从而有效地促进藏族学生的英语学习。     

我国宏观经济IS-LM模型浅析

本文从代数方法、几何模型和经济含义三者的统一出发 ,对IS -ML模型组成的基本原理进行了论证 ;在此基础上对决定我国IS -LM模型的各个参数进行了详细分析和论述 ,并最终构建了我国的IS -LM模型     

A semi-parametric approach to robust parameter design

Parameter design or robust parameter design (RPD) is an engineering methodology intended as a cost-effective approach for improving the quality of products and processes. The goal of parameter design is to choose the levels of the control variables that optimize a defined quality characteristic. An essential component of RPD involves the assumption of well estimated models for the process mean and variance. Traditionally, the modeling of the mean and variance has been done parametrically. It is often the case, particularly when modeling the variance, that nonparametric techniques are more appropriate due to the nature of the curvature in the underlying function. Most response surface experiments involve sparse data. In sparse data situations with unusual curvature in the underlying function, nonparametric techniques often result in estimates with problematic variation whereas their parametric counterparts may result in estimates with problematic bias. We propose the use of semi-parametric modeling within the robust design setting, combining parametric and nonparametric functions to improve the quality of both mean and variance model estimation. The proposed method will be illustrated with an example and simulations.     

运用信息技术培养学生形象思维能力

从把握时机,掌握力度等方面提出遵循以学生为主体原则,符合学生认知过程的需要,同时保证语文教学按自身学科性质完成教学目标,在有利于学生形象思维发展的前提下,把握运用信息技术的最佳时机达到教学最佳效果.     

Analysis of a continuous-time proportional hazard model using discrete duration data

Many economic duration variables are often available only up to intervals, and not up to exact points. However, continuous time duration models are conceptually superior to discrete ones. Hence, in duration analyses, one faces a situation with discrete data and a continuous model. This paper discusses (i) the asymptotic bias of a conventional approximation procedure in which a discrete duration is treated as an exact observation; and (ii) the efficiency of a correct maximum likelihood estimator which appropriately accounts for the discrete nature of the data.     

液相色谱串联质谱检测鳗鱼中四种氟喹诺酮残留

建立了液相色谱/串联质谱法测定鳗鱼中恩诺沙星,环丙沙星,诺氟沙星,氧氟沙星的方法。对分离和检测这四种兽药残留的液相色谱条件、质谱条件、样品前处理方法等作了详细的研究。用乙腈萃取样品中的残留物,在氮气保护下将萃取液浓缩干,加流动相1.0mL溶解残渣,正己烷液液萃取,弃上层液,下层溶液用作液相色谱分析荧光检测或质谱检测。在鳗鱼样品中添加四种残留物,添加浓度分别为0.01,0.050和0.100mg/kg,平均回收率(n=6)在70￣84.3%之间,相对标准偏差为3.0%～6.3%。     

史料引用致误原因分析

史料是史学研究的基础.但自古以来,由于种种原因,错误的或者事实模糊不清的史料很多,如果不作必要的考证鉴别,很难获得科学的研究成果.造成史料引用致误的原因是多方面的,归结起来主要有:(1)史料本身无误,由于没有正确理解原意或者标点不正确而致误;(2)史料本身无误,由于引用者推断不确而致误;(3)史料内容比较含蓄,由于引用者缺乏深入辨析而致误;(4)没有直接引用原书而致误;(5)因版本不善而造成史料的错误或脱漏;(6)史料本身就有错误.     

浅谈创新能力与文献检索利用技能

本文论述了创新能力与文献检索技能的关系。文献检索技能是现代人所必须具备的能力 ,是铸造创新能力的重要因素。并提出了文检课存的问题以及在新世纪加强文检课的一些建议。     

Horwitz's rule, transforming both sides and the design of experiments for mechanistic models

Summary. The paper develops methods for the design of experiments for mechanistic models when the response must be transformed to achieve symmetry and constant variance. The power transformation that is used is partially justified by a rule in analytical chemistry. Because of the nature of the relationship between the response and the mechanistic model, it is necessary to transform both sides of the model. Expressions are given for the parameter sensitivities in the transformed model and examples are given of optimum designs, not only for single-response models, but also for experiments in which multivariate responses are measured and for experiments in which the model is defined by a set of differential equations which cannot be solved analytically. The extension to designs for checking models is discussed.     

Detection and correction of artificial shifts in climate series

Summary.  Many long instrumental climate records are available and might provide useful information in climate research. These series are usually affected by artificial shifts, due to changes in the conditions of measurement and various kinds of spurious data. A comparison with surrounding weather-stations by means of a suitable two-factor model allows us to check the reliability of the series. An adapted penalized log-likelihood procedure is used to detect an unknown number of breaks and outliers. An example concerning temperature series from France confirms that a systematic comparison of the series together is valuable and allows us to correct the data even when no reliable series can be taken as a reference.