欧盟食品接触性活性和智能材料及物品新规（（EC）No450／2009）解读

文章从（EC）No450／2009谈起,对其进行详细解读,并以此为起点,解析整个欧盟的食品包装材料的法律框架,并对欧盟的后续工作进行了展望。     

高墩连续梁0号块施工关键技术

京沪高速铁路南京南站枢纽仙西联络线秦淮河特大桥2联(48+80+48)m连续梁分别跨京沪高速铁路和宁杭高速公路。连续梁主墩柱高31.5m,其施工难度大、工期紧,是联络线重点工程。本文系统介绍高墩连续梁0号块钢牛腿托架结构体系设计、支架结构验算、钢牛腿安装以及混凝土浇筑注意事项,可为同类桥梁结构提供有益的参考。     

探析英语中的性别歧视语

英语中的性别歧视语是性别歧视的观念在英语语言中的反映。它与宗教、文化及女性在社会中的分工角色等方面密不可分。本文从英语中性别歧视语的现象入手,分析其根源并提出了一些规避方法。     

马克思主义中国化的历史文化渊源

本文从研究马克思主义同中国传统文化的关系入手,揭示了中国知识分子接受马克思主义理论的必然性,并进一步阐述了作为中国政治家的知识分子在传播运用马克思主义的同时使马克思主义逐步实现了中国化,成为指导中国革命和建设的科学理论。     

An empirical analysis of international labour migration in the Philippines

This study empirically investigates the impact of economic, demographic, and political factors on the size of emigration from the Philippines. In 2007, overseas workers from the Philippines sent remittances in excess of US$14 billion annually to their families back home. Although these remittances are an important source of foreign exchange and play an important role in economic development, the determinants of emigration in the Philippines are not well established. A simple unrestricted error correction model of migration was specified and estimated using data spanning the period 1975–2005. Results indicate that the level of unemployment, adult literacy and population density are the key determinants of emigration in the Philippines. The result also indicates that government instability impacts negatively on emigration in the Philippines. The policy implications of the results are discussed.     

中国实际利率平价的KSS非线性单位根检验

中国一直在进行资本和金融项目的渐进改革,通常描述和刻画这一经济规律变化的是利率平价理论。由于近十几年限制我国利率平价的制度约束条件均得到缓解,所以,本文利用基于ESTAR结构的KSS非线性单位根检验分析法,并连同ADF和PP检验一起对我国实际利率平价进行了实证,检验结果表明,实际利率平价假说成立,并遵循非线性稳态过程,利率的非对称调整导致信贷市场和金融市场的信息不对称。这说明短期内实际利率的调整特征是平滑转移的,在长期内,双边国家均无法实施相对独立的货币政策。     

许昌腐竹品牌构建影响因素研究

农产品品牌构建是当今发展农产品行业的一条有效路径,文章结合许昌腐竹特定行业的特点,采用解释结构模型的方法,提出腐竹品牌构建的影响因素间的相互关系。     

Unemployment in Greece: Evidence from Greek regions using panel unit root tests

The purpose of the paper is to examine the nature of Greek regional unemployment. The paper contributes to the literature assessing the stochastic properties of Greek unemployment rate in the context of the Greek regions by relying on various univariate and panel unit root tests. In particular, recently developed and more powerful panel unit-root tests that control for structural breaks, heterogeneity and cross-sectional dependence in the panel are employed. The results show that in all cases, after taking into account the fact that regional unemployment rates in Greece are subject to a structural break, the null hypothesis of a unit root is not rejected, indicating that the Greek regional unemployment series are non-stationary with the presence of a structural break.     

树根桩在高压输电线路塔基础加固工程的应用

通过对树根桩在某高压线路塔基础加固的工程实例分析,证明了树根桩在塔基础加固、堤防护坡及冲淤积层较厚的三角洲地区的民宅基础等有广泛的应用前景。     

Bayesian time series analysis of periodic behaviour and spectral structure

Analysis, model selection and forecasting in univariate time series models can be routinely carried out for models in which the model order is relatively small. Under an ARMA assumption, classical estimation, model selection and forecasting can be routinely implemented with the Box–Jenkins time domain representation. However, this approach becomes at best prohibitive and at worst impossible when the model order is high. In particular, the standard assumption of stationarity imposes constraints on the parameter space that are increasingly complex. One solution within the pure AR domain is the latent root factorization in which the characteristic polynomial of the AR model is factorized in the complex domain, and where inference questions of interest and their solution are expressed in terms of the implied (reciprocal) complex roots; by allowing for unit roots, this factorization can identify any sustained periodic components. In this paper, as an alternative to identifying periodic behaviour, we concentrate on frequency domain inference and parameterize the spectrum in terms of the reciprocal roots, and, in addition, incorporate Gegenbauer components. We discuss a Bayesian solution to the various inference problems associated with model selection involving a Markov chain Monte Carlo (MCMC) analysis. One key development presented is a new approach to forecasting that utilizes a Metropolis step to obtain predictions in the time domain even though inference is being carried out in the frequency domain. This approach provides a more complete Bayesian solution to forecasting for ARMA models than the traditional approach that truncates the infinite AR representation, and extends naturally to Gegenbauer ARMA and fractionally differenced models.