基于GIS的滇中城市群产业结构效益研究

以城市群为空间层次,通过比较劳动生产率和产业结构偏离份额的对比,采用GIS空间分析滇中城市群产业结构效益为:2002—2011年产业结构层次较低,结构效益较差,产业结构阻碍滇中经济的发展速度;产业结构逐渐趋于合理化,对经济阻碍逐年下降。     

语篇语法与精读课一体化模式探讨

语篇语法脱离了句法层面的分析,从超句的层次把握句子和段落之间的关系,解读语流中话语或篇章的含义。文章基于语法三大元功能之语篇功能的理论基础,探讨了主位结构、信息结构、衔接系统在英语专业精读课上的应用,并联系语境分析把握语篇外部环境对语篇的影响,改变传统语法课的教学模式,使语法课与精读课一体化,更有利于语法教学的持续、有效开展。     

大学生图书馆借阅分析研究--以三明学院为例

利用聚类分析法和主成分分析法对图书馆繁杂的借阅数据及流通数据进行分析,揭示大学生图书馆借阅三个主要特点：功利性借阅明显,专业型阅读目的显著,消遣性的阅读倾向突出。并根据这些特点为图书馆提出相关的建议。     

抚州市产业结构与就业结构协调发展研究——基于结构偏离度的分析

本文基于产业结构偏离度指标分析得出:抚州市产业结构和就业结构发展不协调,就业结构滞后于产业结构,第一产业剩余劳动力有待转出;第二产业吸纳劳动力的潜力较大;第三产业存在着过剩的劳动力,劳动生产率较低,产业内劳动力有面临着向其他产业转移的压力。进而提出优化工业内部结构,拓宽就业主渠道;优先发展第三产业中前向、后向关联效应大,对就业带动效应较大的行业;调整农业内部结构,扩大第一产业内部就业等政策建议。     

影响SEO优化的网站站内结构分析

在网络营销的不断普及和搜索引擎技术飞速发展的环境下,网站如何被搜索引擎收录并在收录结果中获得较高的排名,已经成为网站建设者面临的主要问题,而一个网站站内结构的好坏,直接关系到网站能否被搜索引擎收录,是一切搜索引擎优化(SEO)的基础。所以能否正确优化网站结构,也每个网站建设者必须解决的问题。     

Revisiting Cross-document Structure Theory for multi-document discourse parsing

Multi-document discourse parsing aims to automatically identify the relations among textual spans from different texts on the same topic. Recently, with the growing amount of information and the emergence of new technologies that deal with many sources of information, more precise and efficient parsing techniques are required. The most relevant theory to multi-document relationship, Cross-document Structure Theory (CST), has been used for parsing purposes before, though the results had not been satisfactory. CST has received many critics because of its subjectivity, which may lead to low annotation agreement and, consequently, to poor parsing performance. In this work, we propose a refinement of the original CST, which consists in (i) formalizing the relationship definitions, (ii) pruning and combining some relations based on their meaning, and (iii) organizing the relations in a hierarchical structure. The hypothesis for this refinement is that it will lead to better agreement in the annotation and consequently to better parsing results. For this aim, it was built an annotated corpus according to this refinement and it was observed an improvement in the annotation agreement. Based on this corpus, a parser was developed using machine learning techniques and hand-crafted rules. Specifically, hierarchical techniques were used to capture the hierarchical organization of the relations according to the proposed refinement of CST. These two approaches were used to identify the relations among texts spans and to generate multi-document annotation structure. Results outperformed other CST parsers, showing the adequacy of the proposed refinement in the theory.     

知识管理自学习案例平行结构体方面相似度模型

为建立知识管理系统的自学习与自组织机制,本文将基于案例推理的技术思想引入知识管理自学习子系统,对知识管理自学习案例的平行结构体方面相似度进行系统而深入地研究。首先,论文对相关文献进行述评,阐明了本文研究的出发点,诠释了知识管理自学习案例平行结构体方面的内涵及其特征;继而,分七种情况深入讨论了平行结构体方面维度相似度的计算方法,并在此基础上提出了方面相似度的计算策略;最后,通过算例分析了相关技术策略与实施细节。     

A Dual-Pointer guided transition system for end-to-end structured sentiment analysis with global graph reasoning

Structured sentiment analysis is a newly proposed task, which aims to summarize the overall sentiment and opinion status on given texts, i.e., the opinion expression, the sentiment polarity of the opinion, the holder of the opinion, and the target the opinion towards. In this work, we investigate a transition-based model for end-to-end structured sentiment analysis task. We design a transition architecture which supports the recognition of all the possible opinion quadruples in one shot. Based on the transition backbone, we then propose a Dual-Pointer module for more accurate term boundary detection. Besides, we further introduce a global graph reasoning mechanism, which helps to learn the global-level interactions between the overlapped quadruples. The high-order features are navigated into the transition system to enhance the final predictions. Extensive experimental results on five benchmarks demonstrate both the prominent efficacy and efficiency of our system. Our model outperforms all baselines in terms of all metrics, especially achieving a 10.5% point gain over the current best-performing system only detecting the holder-target-opinion triplets. Further analyses reveal that our framework is also effective in solving the overlapping structure and long-range dependency issues.     

功能高分子材料课程的教学实践与探索

功能高分子材料是高分子专业主要的专业课程,它建立在高分子物理、高分子化学等相关学科的基础上,与化工、环境、信息、物理、医学、生物等学科存在广泛的交叉融合,是当前高分子学科中发展最为迅速的领域之一。功能高分子材料具有种类繁多、知识体系复杂、知识更新快等特点,对课堂教学提出了较高的要求。笔者根据自身的教学经验探讨如何较好地开展教学实践并采取相应的教学改革措施。     

Accounting for structure and agency in ‘close-up’ research on teaching,learning and assessment in higher education

This paper examines research into teaching, learning and assessment (TLA) in higher education in terms of structure and agency. It argues that although issues of structure and agency are seen as crucial in social theory, they are very little discussed in research into TLA in higher education and that a consideration of structure and agency raises some important questions about this research and the quality of the explanations that it generates. It is therefore time to reconsider this research from the standpoint of structure and agency so that more sophisticated approaches to researching, and generating explanations of, teaching, learning and assessment in higher education can be developed.