烟草硫氧还蛋白基因NtTRX-hl的克隆和功能分析

从烟草中克隆了硫氧还蛋白基因NtTRX-hl并推导出其氨基酸序列,系统进化关系分析表明,NtTRX-hl与小麦、大麦、拟南芥等多种植物的TRX蛋白有很高的同源性.构建高效表达载体,诱导表达重组菌得到分子大小为22.26 kD的融合蛋白,与推测的分子量一致.用胰岛素和二硫苏糖醇作底物进行酶活性测定表明,Nt-TRX-hl具有活性.采用生物信息学的方法和工具分析了NtTRX-hl蛋白的生化参数和亚细胞定位,预测了该蛋白的高级结构.     

语言运用的功能域

近半个多世纪以来,诸多学科都在对人类行为中的语用问题进行研究。从语用共性的角度切入,在离析共性参项的基础上,确立使用中的语言赖以存在的功能域,无疑是语用研究的一种新的尝试。功能域这一新的命题,以其域界的稳定性、规则的俗成性和域场的辐射性与语境、语体在相关联中区别开来,它较之语境与语体在应用上更具有可操作性。     

沈阳城市色彩的规划与设计

一、城市色彩的含义及其规划设计作用“城市色彩”(Urban colour)这一用语诞生于20世纪60年代,对它的重视和研究是基于飞速发展的城市化进程带来的城市色彩混乱而展开的。初期对城市色彩的重视更多的是色彩本身,如单体建设的色彩等,而忽视了城市所构成的景观环境。目前对城市色     

功能语篇分析在高职大学英语阅读教学中的运用

本文认为功能语篇衔接理论的运用,有助于提高教学质量和学习成效。     

论电子商务法基本原则

电子商务法学界对电子商务法基本原则的认识仍存在种种分歧和不足.技术中立原则只是民法平等原则的细化,不能成为电子商务法基本原则.在梳理国内现有理论研究并汲取合理成分的基础上,以法律基本原则的原理为基础,从电子商务法解决的核心问题是在非面对面交易环境中,如何确保当事人能够获得商品和价款出发,提出电子商务法基本原则是安全原则.功能等同是判定利用新型信息技术所实施的法律行为有效与否的标准,是安全原则的重要外延和具体化.安全原则要求第三方电子商务平台针对平台内发生的第三方侵权行为负有合理的注意义务.在安全原则指引下,技术中立非绝对,应包含国家安全等例外规则.     

概念转换法指导诗性隐喻的翻译

针对不同的文化背景下词语带给读者的联想意义有差别的问题,以功能翻译理论为指导,用概念转换法来解决诗性隐喻的翻译。将原语中本体和喻体的联想意义用译语文字来表述,保证联想意义在译语中等值的语境效果。以期说明功能翻译理论指导诗性隐喻的翻译的可操作性和实践性。     

Classical testing in functional linear models

We extend four tests common in classical regression – Wald, score, likelihood ratio and F tests – to functional linear regression, for testing the null hypothesis, that there is no association between a scalar response and a functional covariate. Using functional principal component analysis, we re-express the functional linear model as a standard linear model, where the effect of the functional covariate can be approximated by a finite linear combination of the functional principal component scores. In this setting, we consider application of the four traditional tests. The proposed testing procedures are investigated theoretically for densely observed functional covariates when the number of principal components diverges. Using the theoretical distribution of the tests under the alternative hypothesis, we develop a procedure for sample size calculation in the context of functional linear regression. The four tests are further compared numerically for both densely and sparsely observed noisy functional data in simulation experiments and using two real data applications.     

论电子商务法的功能等同原则

通过对电子商务法功能等同原则基本内涵的剖析以及国际国内电子商务法对功能等同原则的体现，阐述了为什么只有电子商务法领域才有功能等同原则、功能等同原则是如何与其它原则一同构成电子商务法基本原则体系的、功能等同原则对立法和司法实践具有什么指导意义，并最终得出功能等同原则不应该长久地作为电子商务法的基本原则的结论。     

Mean estimation with data missing at random for functional covariables

In a missing-data setting, we want to estimate the mean of a scalar outcome, based on a sample in which an explanatory variable is observed for every subject while responses are missing by happenstance for some of them. We consider two kinds of estimates of the mean response when the explanatory variable is functional. One is based on the average of the predicted values and the second one is a functional adaptation of the Horvitz–Thompson estimator. We show that the infinite dimensionality of the problem does not affect the rates of convergence by stating that the estimates are root-n consistent, under missing at random (MAR) assumption. These asymptotic features are completed by simulated experiments illustrating the easiness of implementation and the good behaviour on finite sample sizes of the method. This is the first paper emphasizing that the insensitiveness of averaged estimates, well known in multivariate non-parametric statistics, remains true for an infinite-dimensional covariable. In this sense, this work opens the way for various other results of this kind in functional data analysis.     

Regression for non-Euclidean data using distance matrices

Regression methods for common data types such as measured, count and categorical variables are well understood but increasingly statisticians need ways to model relationships between variable types such as shapes, curves, trees, correlation matrices and images that do not fit into the standard framework. Data types that lie in metric spaces but not in vector spaces are difficult to use within the usual regression setting, either as the response and/or a predictor. We represent the information in these variables using distance matrices which requires only the specification of a distance function. A low-dimensional representation of such distance matrices can be obtained using methods such as multidimensional scaling. Once these variables have been represented as scores, an internal model linking the predictors and the responses can be developed using standard methods. We call scoring as the transformation from a new observation to a score, whereas backscoring is a method to represent a score as an observation in the data space. Both methods are essential for prediction and explanation. We illustrate the methodology for shape data, unregistered curve data and correlation matrices using motion capture data from an experiment to study the motion of children with cleft lip.