植物功能基因组学手段

综述了近几年发展起来的几种植物功能基因组学手段，对这些方法的优缺点作了比较．并讨论了植物功能基因组学的发展前景。     

英语功能语法学与英语教学

不同于传统语法所提供的各种语法规则,功能语法学是一种非常丰富的语言描述方法,它关注语言在各种社会语境中使用的不同形态;并且还观察语言所承担的各种社会功能以及对读者或听众所产生的影响。它应当被当成是传统语法的丰富和补充。同时,功能语法提供给教师的是一种很有效的深入理解语篇的方法,并为提高教学质量提供了很多启示。     

广告英语中双关语的翻译

双关语的可译性一直是翻译界争论的热点。语言、文化及表达习惯的差异,使双关语翻译难以兼顾其双重含义。"功能对等"理论以译语读者为中心,注重译文在译语语言和文化环境中所预期达到的功能,为双关语的翻译另辟蹊径。对英语广告中双关语的翻译来说,译文只要能产生与原文相似的广告效应,能使译文读者获得与原文读者近乎相同的感受就是成功的翻译。     

影视翻译初探

本文提出了影视翻译的重要性 ,呼吁翻译届对影视翻译的重视。作者概括了影视语言的五大特点和应遵循的原则与技巧。在坚持传统的“信 ,达 ,雅”翻译观的基础上 ,提出了影视翻译应以“达”(通顺 )为主 ,以译入语观众为目标的功能对等翻译论 ,以期为影视翻译提供一种新的理论视角和操作模式。     

《红楼梦》语篇体裁标记语的英译

近年来《红楼梦》英译研究发展迅速,许多学者都从不同领域对其进行研究。但将功能语篇分析理论应用到《红楼梦》及其英译文的对比研究,国内外尚不多见。本文将以韩礼德系统功能语言学作为理论基础,从语篇分析的角度,以《红楼梦》原著及其杨宪益夫妇的英译本为语料,重点讨论《红楼梦》作为章回小说,其语篇体裁标记语在英译文中如何处理的。     

农产品价格波动中的金融化因素分析——以大豆、食糖为例

基于2007年1月至2016年12月的相关月度数据,以大豆和食糖为例,通过ARDL模型分别从长期和短期对影响国内农产品现货价格的金融化因素进行了系统测算。结果表明,通货膨胀因素、国内期货价格、货币供应量和国际现货价格是影响国内大豆现货价格的主要金融化因素;国内期货价格、通货膨胀因素和国际现货价格是影响国内食糖现货价格的主要金融化因素;汇率和能源价格对二者的影响均不明显。最后,从改善宏观经济环境、规范期货市场发展、健全农产品进口风险防控体系、关注品种间差异等方面提出了应对农产品金融化的对策建议。     

人工智能与制造业融合:基本内涵、发展态势与内在逻辑——兼论成都人工智能与制造业融合的探索与实践

人工智能是新一轮科技革命和产业变革的重要驱动力量,人工智能与制造业融合将推动制造业加快转型升级。基于对人工智能与制造业融合的内涵、态势的分析,阐明了人工智能与制造业融合功能区的内在逻辑和分类方式,结合成都的基础条件,对人工智能与制造业融合功能区进行了分类,并借鉴国内先进经验,从加强人工智能技术和产品供给、分类推进制造业智能化、增强基础设施支撑、打造产业融合生态体系四个方面提出建议。     

Functional analysis of high-content high-throughput imaging data

High-content automated imaging platforms allow the multiplexing of several targets simultaneously to generate multi-parametric single-cell data sets over extended periods of time. Typically, standard simple measures such as mean value of all cells at every time point are calculated to summarize the temporal process, resulting in loss of time dynamics of the single cells. Multiple experiments are performed but observation time points are not necessarily identical, leading to difficulties when integrating summary measures from different experiments. We used functional data analysis to analyze continuous curve data, where the temporal process of a response variable for each single cell can be described using a smooth curve. This allows analyses to be performed on continuous functions, rather than on original discrete data points. Functional regression models were applied to determine common temporal characteristics of a set of single cell curves and random effects were employed in the models to explain variation between experiments. The aim of the multiplexing approach is to simultaneously analyze the effect of a large number of compounds in comparison to control to discriminate between their mode of action. Functional principal component analysis based on T-statistic curves for pairwise comparison to control was used to study time-dependent compound effects.     

Discriminant coordinates analysis for multivariate functional data

Abstract

One of the basic statistical methods of dimensionality reduction is analysis of discriminant coordinates given by Fisher (1936 Fisher, R. A. 1936. The use of multiple measurements in taxonomic problem. Annals of Eugenics 7 (2):179–88. doi:10.1111/j.1469-1809.1936.tb02137.x.[Crossref] , [Google Scholar]) and Rao (1948). The space of discriminant coordinates is a space convenient for presenting multidimensional data originating from multiple groups and for the use of various classification methods (methods of discriminant analysis). In the present paper, we adapt the classical discriminant coordinates analysis to multivariate functional data. The theory has been applied to analysis of textural properties of apples of six varieties, measured over a period of 180?days, stored in two types of refrigeration chamber.     

Estimation and simulation of conditional hazard function in the quasi-associated framework when the observations are linked via a functional single-index structure

We consider the estimation of the conditional hazard function of a scalar response variable Y given a Hilbertian random variable X when the observations are linked via a single-index structure in the quasi-associated framework. We establish the pointwise almost complete convergence and the uniform almost complete convergence (with the rate) of the estimate of this model. A simulation is given to illustrate the good behavior in the practice of our methodology.