中国山水画的精神解析

自然山水作为中国山水画创作的永恒主题,有中国古代文化的基因之缘。自然山水在中国人的心中具有寓意的象征,山水代表着宇宙自然。中国山水画的美学精神是人与自然的和谐同一,中国人移情于山水来传达内心的深情,是灌注了主观性情的人化自然,是自然与人的生命精神的融合。     

What (more) can,and should,assessment do for learning? Observations from ‘successful learning context’ in Singapore

Singapore has earned accolades as one of the leading education systems in the world, based on its record in international assessments, including TIMMS and PISA. This has contributed to the entrenchment of ‘assessment’ becoming an institutional authority of standards, teaching (performativity) and classroom learning. It is against, and amidst such contexts, that this article traces how the notion and discourse of formative assessment and Assessment for Learning (AfL) are widely introduced and used formally across all Singaporean schools, particularly after a recent introduction of new ‘Holistic and Balanced Assessment’ policies. We argue that the very institutional authority of successful high-stake examination results, which served as critical standards of performativity of teaching and learning in the classroom, is being challenged. The changing assessment context of Singaporean schools, therefore serves as an interesting case study site for studying how formative assessment and AfL can be adapted and understood when ‘learning’ is already seen to be successful.     

A heuristic hierarchical scheme for academic search and retrieval

We present PubSearch, a hybrid heuristic scheme for re-ranking academic papers retrieved from standard digital libraries such as the ACM Portal. The scheme is based on the hierarchical combination of a custom implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper’s index terms with each other. We designed and developed a meta-search engine that submits user queries to standard digital repositories of academic publications and re-ranks the repository results using the hierarchical heuristic scheme. We evaluate our proposed re-ranking scheme via user feedback against the results of ACM Portal on a total of 58 different user queries specified from 15 different users. The results show that our proposed scheme significantly outperforms ACM Portal in terms of retrieval precision as measured by most common metrics in Information Retrieval including Normalized Discounted Cumulative Gain (NDCG), Expected Reciprocal Rank (ERR) as well as a newly introduced lexicographic rule (LEX) of ranking search results. In particular, PubSearch outperforms ACM Portal by more than 77% in terms of ERR, by more than 11% in terms of NDCG, and by more than 907.5% in terms of LEX. We also re-rank the top-10 results of a subset of the original 58 user queries produced by Google Scholar, Microsoft Academic Search, and ArnetMiner; the results show that PubSearch compares very well against these search engines as well. The proposed scheme can be easily plugged in any existing search engine for retrieval of academic publications.     

Efficient sample preparation in immuno-matrix-assisted laser desorption/ionization mass spectrometry using acoustic trapping

Acoustic trapping of minute bead amounts against fluid flow allows for easy automation of multiple assay steps, using a convenient aspirate/dispense format. Here, a method based on acoustic trapping that allows sample preparation for immuno-matrix-assisted laser desorption/ionization mass spectrometry using only half a million 2.8 μm antibody covered beads is presented. The acoustic trapping is done in 200 × 2000 μm² glass capillaries and provides highly efficient binding and washing conditions, as shown by complete removal of detergents and sample processing times of 5-10 min. The versatility of the method is demonstrated using an antibody against Angiotensin I (Ang I), a peptide hormone involved in hypotension. Using this model system, the acoustic trapping was efficient in enriching Angiotensin at 400 pM spiked in plasma samples.     

具有容错特性的反馈控制

考虑到最优反馈控制在部分执行器（传感器）失效时仍能使系统稳定运行的条件，给出了求解该总理的算法，并用实例作了说明。     

高校图书馆的组织重组研究

网络信息环境的日新月异、用户信息需求的不断增强以及各种管理理念的提出都深刻影响着图书馆的发展，给图书馆的发展带来了机遇与挑战。如何实行图书馆组织机构的有效重组，使图书馆更加适应新的发展环境，是目前图书馆业内人士探讨的一个热门话题。本文从全国60余家高校图书馆现行组织机构调研入手，分析了目前国内高校图书馆组织结构的现状，并对高校图书馆组织机构重组的原则、模式进行了探讨。     

对我国篮球理论研究现状的思考

本文运用文献资料、逻辑分析等研究方法, 就我国篮球理论研究的历史进行了简要的回顾与总结, 分析了我国篮球理论研究存在的不足, 提出了现阶段我国篮球理论研究亟待解决的问题, 以期我国篮球理论研究有新的突破     

基于统计-规则方法的网页层次分类技术研究

基于统计的自动分类是网页层次分类中常用的技术，但其有不足之处，主要表现为当子类之间出现严重的特征交叉现象时，分类精确率将大大下降。而网页层次分类的本质决定了同一大类下的子类存在许多相同的特征。针对这一局限性，结合基于规则的自动分类技术的优点，提出一种基于统计-规则方法的网页层次分类技术。实验表明，基于统计-规则方法的网页层次分类技术能够获得比较理想的分类效果。     

基于开放课件的图书馆e-Learning服务研究

概述开放课件资源的起源、特征，深入分析其对e-Learning的支撑作用;结合 图书馆的发展现状与功能特征，阐明图书馆开展e-Learning服务的可行性，并从收集、 整合、组织开放课件资源，建设e-Learning门户，整合e-Learning服务与学科知识服务 等方面，探究图书馆利用开放课件资源提供e-Learning服务的措施。