中外应用语言学类期刊论文英语题目对比分析

学术论文题目是论文语篇不可缺少的一部分,在知识传播中起着非常重要的作用。以国内外应用语言学领域发表于2009-2013年的期刊论文英语题目为语料,分别建立国际、国内期刊论文英语题目语料库,对比分析论文题目的语法结构（包括题长和标点符号使用）和话语功能。数据分析发现,两个语料库中论文题目的拟定在体现共性的同时存有一定差异：国际论文作者在题目中更多使用复合结构或以动名词开头的结构,更注重表达研究问题、结果、对象等论文信息以及表达的个性化和多样化,以达到更好地“推销”学术成果之目的;国内论文作者则更倾向使用单一结构和固定的名词短语结构,大量使用“研究”、“初探”等无实际意义的“废词”。依据语类理论的互话性来审视论文题目语篇内和语篇外因素,能解释论文题目所体现的话语功能以及作者在拟题过程中采用相关策略所隐含的社会文化理据。从批评语类分析的视角来探析期刊论文英语题目的拟题策略,为论文语篇研究提供了新的材料和证据。     

人性关照:职业教育人力本位与范式转型

现代职业教育作为工业化的产物,因传统范式、政策导向、认知误读等诸多因素影响主要凸显“人力本位”的价值取向.与之相伴随的是人才异化、教育背离、技术霸权等深层危机,整合“人力本位”与“人性本位”,以范式转型予以规避.     

湖北省高级专门人才培养总量与结构分析

以湖北省经济建设与社会发展的现状和预测情况以及湖北高级专门人才拥有状况为依据,分析了规划人才培养总量应考虑的主要因素,提出了湖北省高级专门人才培养总量及结构的对策建议.     

基于智能终端的心电信号采集系统设计

心电信号作为一种重要的生命体征参数,其包含丰富的病理信息,对心血管疾病的预防具有重要的参考价值。目前,市场上的心电信号采集系统体积较大,不便于携带,这为心电信号的及时获取和诊断增加了很大的障碍,因此本文基于对心电信号实时采集的硬件系统的研究,结合消除噪声干扰算法,设计出一种适用于家庭和社区的低功耗、体积小的便携式心电实时采集系统。通过对系统的心电信号采集模块、微控制器模块、数据传输模块和智能终端处理模块等硬件结构、原理和对应系统软件的介绍阐述了新型便携式心电采集系统的设计思想及其优越性。经验证:该系统能够以单导联的方式实现心电信号实时采集,并在智能终端上完成对数据的分析、显示及存储等功能。     

网络群体性反腐事件及其刑事法律效果

网络背景下的群体性反腐事件有其独特的运作规律和特点,具有权利正当性和诉求合理性的特质.它对刑事法律的影响效果体现为如下冲突：个案正义的追求与司法公正的追求、网络反腐的社会效果与刑法权威性、干扰司法独立和外部监督功效、程序正当性与网络反腐事件道德追求.这些法律效果上的研究,有助于客观理性的理解网络群体反腐事件的优势和弊端,为刑事司法网络反腐工作的深入展开提供理论前提.     

A Predictive Model for Survival of Escherichia coli O157:H7 and Generic E. coli in Soil Amended with Untreated Animal Manure

This study aimed at developing a predictive model that captures the influences of a variety of agricultural and environmental variables and is able to predict the concentrations of enteric bacteria in soil amended with untreated Biological Soil Amendments of Animal Origin (BSAAO) under dynamic conditions. We developed and validated a Random Forest model using data from a longitudinal field study conducted in mid-Atlantic United States investigating the survival of Escherichia coli O157:H7 and generic E. coli in soils amended with untreated dairy manure, horse manure, or poultry litter. Amendment type, days of rain since the previous sampling day, and soil moisture content were identified as the most influential agricultural and environmental variables impacting concentrations of viable E. coli O157:H7 and generic E. coli recovered from amended soils. Our model results also indicated that E. coli O157:H7 and generic E. coli declined at similar rates in amended soils under dynamic field conditions.The Random Forest model accurately predicted changes in viable E. coli concentrations over time under different agricultural and environmental conditions. Our model also accurately characterized the variability of E. coli concentration in amended soil over time by providing upper and lower prediction bound estimates. Cross-validation results indicated that our model can be potentially generalized to other geographic regions and incorporated into a risk assessment for evaluating the risks associated with application of untreated BSAAO. Our model can be validated for other regions and predictive performance also can be enhanced when data sets from additional geographic regions become available.     

关于Cassini卵形域的边界问题

本文对复分块矩阵谱的Cassini型包合域之边界问题进行了讨论,得到了特征值过边界的若干条件。     

An almost sure central limit theorem for self-normalized partial sums of weakly dependent random variables

Abstract

We give here an almost sure central limit theorem for self-normalized partial sums of a strictly stationary φ-mixing sequences which is in the domain of attraction of the normal law with mean zero and possibly infinite variance. Our result substantially extend a result on the almost sure central limit theorem previously obtained by Huang and Pang (2010).     

Compare diagnostic tests using transformation-invariant smoothed ROC curves()

Receiver operating characteristic (ROC) curve, plotting true positive rates against false positive rates as threshold varies, is an important tool for evaluating biomarkers in diagnostic medicine studies. By definition, ROC curve is monotone increasing from 0 to 1 and is invariant to any monotone transformation of test results. And it is often a curve with certain level of smoothness when test results from the diseased and non-diseased subjects follow continuous distributions. Most existing ROC curve estimation methods do not guarantee all of these properties. One of the exceptions is Du and Tang (2009) which applies certain monotone spline regression procedure to empirical ROC estimates. However, their method does not consider the inherent correlations between empirical ROC estimates. This makes the derivation of the asymptotic properties very difficult. In this paper we propose a penalized weighted least square estimation method, which incorporates the covariance between empirical ROC estimates as a weight matrix. The resulting estimator satisfies all the aforementioned properties, and we show that it is also consistent. Then a resampling approach is used to extend our method for comparisons of two or more diagnostic tests. Our simulations show a significantly improved performance over the existing method, especially for steep ROC curves. We then apply the proposed method to a cancer diagnostic study that compares several newly developed diagnostic biomarkers to a traditional one.