国外公司治理结构的模式和发展趋势

通过研究国外公司治理结构的模式的特点、利弊，分析国外公司治理结构的发展趋势，结合中国中小民营企业的特点，提出了建立中国中小民营企业治理结构的思路。     

生态学视角下基于熵权可拓模型的山西省人才聚集预警研究

基于生态学的理论视角,结合熵权和物元可拓模型的相关理论,以山西省为例,从生态学的角度构建人才聚集预警的指标体系,建立人才聚集预警熵权可拓模型对山西省2006—2013年的人才预警状况进行实证分析,结果表明:山西省人才聚集处于中度预警状态,制度生态因子、社会生态因子、经济生态因子的推动作用促进山西省人才聚集预警度呈现转好的局面,文化生态因子和教育生态因子阻碍了人才聚集的平衡性发展,出现了向低等级转移的趋势。为防止山西人才聚集的非经济现象更加突出提供理论依据,为山西省人才聚集的良性发展提供参考性意见。     

对我国中小学体育教学模式的理论思考

着重对我国中小学体育教学模式进行理论探讨。提出了多视角、多样化、全方位的体育教学模式新格局,认为提高我国中小学体育教学整体水平的关键在于更新教育观念,建立一定的学说,确定“发展”的体育教学模式。     

From Retrieval Status Values to Probabilities of Relevance for Advanced IR Applications

Information Retrieval systems typically sort the result with respect to document retrieval status values (RSV). According to the Probability Ranking Principle, this ranking ensures optimum retrieval quality if the RSVs are monotonously increasing with the probabilities of relevance (as e.g. for probabilistic IR models). However, advanced applications like filtering or distributed retrieval require estimates of the actual probability of relevance. The relationship between the RSV of a document and its probability of relevance can be described by a normalisation function which maps the retrieval status value onto the probability of relevance (mapping functions). In this paper, we explore the use of linear and logistic mapping functions for different retrieval methods. In a series of upper-bound experiments, we compare the approximation quality of the different mapping functions. We also investigate the effect on the resulting retrieval quality in distributed retrieval (only merging, without resource selection). These experiments show that good estimates of the actual probability of relevance can be achieved, and that the logistic model outperforms the linear one. Retrieval quality for distributed retrieval is only slightly improved by using the logistic function.     

销售量预测模型及其应用

运用回归分析方法建立的某类销售量预测模型,对季节变化关联较强的商品的销售量有较高的预测精确度。     

Digital body preservation: Technique and applications

High-fidelity anatomical models can be produced with three-dimensional (3D) scanning techniques and as such be digitally preserved, archived, and subsequently rendered through various media. Here, a novel methodology—digital body preservation—is presented for combining and matching scan geometry with radiographic imaging. The technique encompasses joining layers of 3D surface scans in an anatomical correct spatial relationship. To do so, a computed tomography (CT) volume is used as template to join and merge different surface scan geometries by means of nonrigid registration into a single environment. In addition, the use and applicability of the generated 3D models in digital learning modalities is presented. Finally, as computational expense is usually the main bottleneck in extended 3D applications, the influence of mesh simplification in combination with texture mapping on the quality of 3D models was investigated. The physical fidelity of the simplified meshes was evaluated in relation to their resolution and with respect to key anatomical features. Large- and medium-scale features were well preserved despite extensive 3D mesh simplification. Subtle fine-scale features, particular in curved areas demonstrated the major limitation to extensive mesh size reduction. Depending on the local topography, workable mesh sizes ranging from 10% to 3% of the original size could be obtained, making them usable in various learning applications and environments.     

Improving document clustering in a learned concept space

Most document clustering algorithms operate in a high dimensional bag-of-words space. The inherent presence of noise in such representation obviously degrades the performance of most of these approaches. In this paper we investigate an unsupervised dimensionality reduction technique for document clustering. This technique is based upon the assumption that terms co-occurring in the same context with the same frequencies are semantically related. On the basis of this assumption we first find term clusters using a classification version of the EM algorithm. Documents are then represented in the space of these term clusters and a multinomial mixture model (MM) is used to build document clusters. We empirically show on four document collections, Reuters-21578, Reuters RCV2-French, 20Newsgroups and WebKB, that this new text representation noticeably increases the performance of the MM model. By relating the proposed approach to the Probabilistic Latent Semantic Analysis (PLSA) model we further propose an extension of the latter in which an extra latent variable allows the model to co-cluster documents and terms simultaneously. We show on these four datasets that the proposed extended version of the PLSA model produces statistically significant improvements with respect to two clustering measures over all variants of the original PLSA and the MM models.     

教师职业生涯发展理论及其启示

论述教师职业发展模型及影响教师职业生涯发展的因素，探讨其对我国教师教育改革的启示。     

东汉都邑赋家话语策略的成因及其模式

东汉都邑赋家的话语策略成因有四：统治者的政治需要；都邑功能的转变；西汉赋家的率先垂范；儒家经典意识的导向。受其影响，东汉赋家们的话语策略因时代不同而具有明显的差异性，具有三种不同的模式：前期赋家追寻历史依据以示慎重；中期赋家假借虚构人物以述己意；末期赋家则关注世俗生活以示冷漠。     

基于光谱混合分析的城市植被覆盖度与地表温度关系的研究

分别选择NDVI和光谱混合分析植被组分(VF)作为城市植被覆盖度指示因子,研究植被覆盖度与地表温度(LST)的相关关系.选择了一定数量的样本点,通过线性拟合的方法研究了NDVI及VF与LST的相关关系.研究结果表明,VF与LST之间的相关性比NDVI与LST之间相关性更好.研究表明,在城市LST研究中VF可以作为表征植被性质的参数.