论图书馆的电子书服务及数字版权管理

电子书产业是伴随因特网发展而出现的一个新的产业，是数字化图书馆建设中的重要组成部分。本文从我国电子书服务的现状和数字版权管理等方面来论述数字图书馆的电子书发展。     

Using word embeddings in Twitter election classification

Word embeddings and convolutional neural networks (CNN) have attracted extensive attention in various classification tasks for Twitter, e.g. sentiment classification. However, the effect of the configuration used to generate the word embeddings on the classification performance has not been studied in the existing literature. In this paper, using a Twitter election classification task that aims to detect election-related tweets, we investigate the impact of the background dataset used to train the embedding models, as well as the parameters of the word embedding training process, namely the context window size, the dimensionality and the number of negative samples, on the attained classification performance. By comparing the classification results of word embedding models that have been trained using different background corpora (e.g. Wikipedia articles and Twitter microposts), we show that the background data should align with the Twitter classification dataset both in data type and time period to achieve significantly better performance compared to baselines such as SVM with TF-IDF. Moreover, by evaluating the results of word embedding models trained using various context window sizes and dimensionalities, we find that large context window and dimension sizes are preferable to improve the performance. However, the number of negative samples parameter does not significantly affect the performance of the CNN classifiers. Our experimental results also show that choosing the correct word embedding model for use with CNN leads to statistically significant improvements over various baselines such as random, SVM with TF-IDF and SVM with word embeddings. Finally, for out-of-vocabulary (OOV) words that are not available in the learned word embedding models, we show that a simple OOV strategy to randomly initialise the OOV words without any prior knowledge is sufficient to attain a good classification performance among the current OOV strategies (e.g. a random initialisation using statistics of the pre-trained word embedding models).     

Optimal design of Stewart platforms based on expanding the control bandwidth while considering the hydraulic system design

We proposed an optimal design method to expand the bandwidth for the control of large hydraulic Stewart platform. The method is based on generalized natural frequency and takes hydraulic oil into consideration. A Lagrangian formulation which considers the whole leg inertia is presented to obtain the accurate equivalent mass matrix. Using the model, the effect of leg inertia and the influence of design parameters on the generalized natural frequency are investigated. Finally, numerical examples are presented to validate and confirm the efficiency of the mathematical model. The results show that the leg inertia, especially the piston part plays an important role in the dynamics. The optimum diameter ratio of the base to the moving platform is between 2 and 3, and the optimum joint angle ratio of the base to the moving platform is about 1. The smaller joint angles and a longer leg stroke are favorable for raising system frequencies. The system oil should be preprocessed for large platforms with a requirement for good dynamic performance.     

必要性与可能性:教师参与教师专业发展政策决策

教师参与教师专业发展政策决策不仅具有必要性,而且具备可能性。文章首先明确了教师参与教师专业发展政策决策的必要性:有利于教师专业发展政策的完善、保障教师的合法权利和利益及推动教师专业化成长。然后通过理论分析和事实分析提炼教师参与教师专业发展政策的可能性。理论分析包括政策法规依据和教师主体属性;事实分析包括现实基础和域外借鉴。     

多元学校问责:OECD国家教育治理的新趋势

21世纪以来,受教育权力分散化、市场机制、参与式民主以及绩效问责不足等内外因素的影响,多元学校问责日益成为OECD国家教育治理的新兴方式。多元学校问责是指多个主体根据学校提供的数据和信息资源等对学校进行全方位监测,以促进学校教育质量的改善与提升。多元化的问责主体、多样性的问责方式、横向性的问责机制是多元学校问责的显著特征。在推进现代教育治理体系化背景下,多元学校问责已成为OECD国家基于各自国情而展开的一种实践方式,而精准识别利益相关主体、协调利益相关者之间的权力以及提高学校管理者的领导力也已然成为OECD国家有效实施多元学校问责的重要经验。     

叙述与超越——论冯玉雷《敦煌·六千大地或更远》的叙事艺术

冯玉雷长篇小说《敦煌.六千大地或更远》以散点透视的叙述艺术创造了一种丰富的多元化的文本。作品通过叙述视点的不断转换,在叙述中营造出不同的叙述语境,在不同的语境中把自己的目光和笔触伸进现实、历史、人性、爱情、艺术、宗教等不同的生存层面,在叙述中实现精神和思想不断的超越与回越,使文本处于多样化的差别与对立中,从而形成该作品独特的难以把握的具有多义化结构的诗意文本。因而,这部作品在文本创造中形成一种卓越而独特的叙述艺术。     

减少和挽救"学业失败":构建和谐社会的重要议题

教育系统中，不断产生的“学业失败”是影响和谐社会构建的矛盾和问题之一。学业失败是一个世界性难题，它往往导致社会排斥，并且潜伏着社会不稳定因素，使遭遇学业失败的青年人深受其害。在中国，学业失败被扩大化了。减少和挽救学业失败有赖于全社会的共同努力，其中相关部门优化政策是关键。教育系统更应统一认识，以科学发展观统领教育全局，树立“人人都可以成才”的理念，尊重和善待每一位学习者，并让学习者自己负起学习的责任。     

苦难的历程诗意的年代--关于村上春树作品中"现代性"的思考

日本作家村上春树的作品体现了多元化思潮及转型嬗变的特质。现代性成了一切解释的主因，它直接破坏了人们心灵世界的祥和，也击垮了人们旧有的价值观，从而导致了迷惘失落的一代。村上春树以其个体经验刻画了一幅审视与探源、抗拒与追求的“现代性景观”。     

专家系统在图书馆的应用

<正> 目前,在美国和其他一些发达国家,专家系统已经或正在被运用到参考咨询、信息管理、图书采购编目、编制索引和数据库检索等许多领域中,它在图书馆的咨询领域中有比较广泛的应用价值。一、专家系统的基本概念1.专家系统的定义:广义地说,专家系统隶属于计算机科学,人工智能的一个从属领域。具体地说,专家系统是     

浅析网络对会计教学的影响

计算机网络对会计教学的影响主要有以下几个方面：极大丰富促进会计教学资源；更新了会计教学观念；使会计教学方式多样化；促进了会计教学的更新；弥补了传统课堂教学的不足。