在文化交往中增强文化自信——基于哈贝马斯交往行为理论视角

党的十七届六中全会将“增强文化自信”作为开展社会主义建设,推动中华民族文化复兴的重要途径.而在全球化的今天,文化自信与文化交往的联系是十分紧密的.试图从哈贝马斯代表性的交往行为理论出发,论证民族间文化交往只有依照平等合理的对话方式,才能有利于本民族文化在融合中得以发展.     

金融数学专业“概率论”课程教学例题选题研究

“概率论”是金融数学专业的一门重要基础课程,文章举例说明了在“概率论”教学中如何将金融问题融入到课程内容中,以提高学生学习数学的积极性,培养学生的金融数学思维,为金融数学专业的课程学习奠定良好的基础。     

顺应理论视阈下《红楼梦》称谓语的翻译

根据 Verschueren 的语言顺应论,动态顺应是翻译策略,直译、意译、归化、异化都是动态顺应过程中主动顺应或被动顺应时表现出的一些具体方法。汉语称谓语的翻译是译者动态顺应译语语言现实和社会规约从而实现翻译目的的一个过程。因此,分析比较《红楼梦》杨译本与霍译本两个英文全译本中对称谓语的翻译,指出翻译方法的选择取决于是否顺应译语文化并能实现译者的翻译动机。     

邓小平批判性思维的生成及其实践

批判性思维是一种独特的认识技能,是一种反思能力。批判性思维是邓小平的重要思维方式,贯穿于邓小平理论的整个体系。邓小平的批判性思维是特定历史文化的产物,有其产生的历史和现实根据。邓小平运用批判性思维,在对社会主义本质、社会主义发展阶段、社会主义经济体制等问题的认识上取得了重大突破,与时俱进地实现了马克思主义的中国化,并取得了丰硕的理论成果。     

运用均衡凝固理论解决燃气轮机壳体铸件的缩孔和缩松缺陷

燃气轮机壳体是厚大断面球墨铸铁件,壁厚在80~200mm之间,在生产过程中非常容易出现缩孔和缩松缺陷,运用均衡凝固理论进行工艺改进,充分利用厚壁球铁件的自补缩功能,消除了铸件的缩孔和缩松缺陷,生产验证表明均衡凝固技术作为工艺设计理论和方法,对生产高品质的铸件有普遍意义。     

铸造亚共晶铝硅合金绿色化规划探讨

根据绿色化思想，对铸造亚共晶铝硅合金进行了绿色化规划探讨。现有的铝硅合金牌号过多，以铸造亚共晶铝硅合金为例，中国至少有11种牌号，美国有14种，俄罗斯有16种，日本有11种。同时，这些合金的性能大多相互覆盖。这为材料选择，加工，管理和回收带来诸多不便。为了解决这些问题，规划出两种牌号，足以满足一般的要求，一种为低成本，中等性能合金（σb=150-200MPa,δ5＝1.0%-4.0%，如美国的356．0或中国的ZL101）；另一种为中等成本，中高性能合金（σ＝200－420MPa,δ5=2.0%-8.05,如我国新近开发的ZL120）。     

基于多传感器数据融合的液压泵故障诊断研究

将D—S证据理论应用于多传感器数据融合，提出了多传感器数据融合一般化方法，并将其应用于液压泵故障诊断。通过数据融合诊断结果与单传感器诊断结果的比较，证明多传感器数据融合能明显提高故障诊断的准确率。     

规划水资源论证技术要求探讨——以深圳石岩总部经济园区规划为例

2010年,水利部启动了规划水资源论证的试点工作并出台了试行技术要求。规划水资源论证把水资源管理的源头从建设项目向前推进至规划阶段,体现了"从源头和过程控制"的理念。以深圳石岩总部经济园区改造专项规划水资源论证为例,对园区规划水资源论证的内容、方法和要求进行了实例探讨,为规划水资源论证的编制提供参考。     

Building a Language‐Independent Discourse Parser using Universal Networking Language

Discourse parsing has become an inevitable task to process information in the natural language processing arena. Parsing complex discourse structures beyond the sentence level is a significant challenge. This article proposes a discourse parser that constructs rhetorical structure (RS) trees to identify such complex discourse structures. Unlike previous parsers that construct RS trees using lexical features, syntactic features and cue phrases, the proposed discourse parser constructs RS trees using high‐level semantic features inherited from the Universal Networking Language (UNL). The UNL also adds a language‐independent quality to the parser, because the UNL represents texts in a language‐independent manner. The parser uses a naive Bayes probabilistic classifier to label discourse relations. It has been tested using 500 Tamil‐language documents and the Rhetorical Structure Theory Discourse Treebank, which comprises 21 English‐language documents. The performance of the naive Bayes classifier has been compared with that of the support vector machine (SVM) classifier, which has been used in the earlier approaches to build a discourse parser. It is seen that the naive Bayes probabilistic classifier is better suited for discourse relation labeling when compared with the SVM classifier, in terms of training time, testing time, and accuracy.     

Optimal maintenance planning for sustainable energy efficiency lighting retrofit projects by a control system approach

The energy savings achieved by implementing energy efficiency (EE) lighting retrofit projects are sometimes not sustainable and vanish rapidly given that lamp population decays as time goes by if without proper maintenance activities. Scope of maintenance activities refers to replacements of failed lamps due to nonrepairable lamp burnouts. Full replacements of all the failed lamps during each maintenance interval contribute to a tight project budget due to the expense for the lamp failure inspections, as well as the procurement and installation of new lamps. Since neither “no maintenance” nor “full maintenance” is preferable to the EE lighting project developers (PDs), we propose to design an optimal maintenance plan that optimises the number of replacements of the failed lamps, such that the EE lighting project achieves sustainable performance in terms of energy savings whereas the PDs obtain their maximum benefits in the sense of cost–benefit ratio. This optimal maintenance planning (OMP) problem is aptly formulated as an optimal control problem under control system framework, and solved by a model predictive control (MPC) approach. An optimal maintenance plan for an EE lighting retrofit project is designed as a case study to illustrate the effectiveness of the proposed control system approach.