基于邻域的K-medoids聚类算法在学生成绩评价中的应用

高校学生成绩的评价分析是教学工作的重要环节,使用自行提出的一种基于邻域的改进K-medoids聚类算法算法对学生成绩进行数据挖掘。实验表明,使用基于邻域的K-medoids算法对学生成绩进行聚类分析,克服了传统的采用划分方法来评价学生成绩所带来的问题,比较科学、合理地反应出学生的学习状况,能够为教学工作提供有意义的决策指导。     

AHP法在案例教学学生成绩评价中的实证研究

分析了案例教学模式学生成绩评价存在的问题,利用专家经验法和模糊优化法对初拟评价指标进行了筛选,构建案例教学学生成绩多维评价指标体系,引入AHP法,得到更为合理的学生成绩综合评价方法,通过实证研究对比发现,提高了学生成绩评价的客观性与公平性,激发了学生学习兴趣.     

基于多元统计分析的高中文理选科分析

应用多元统计分析中的主成分分析法建立了综合评价学生学习状况和选择文理科的模型,并利用逐步回归分析法分析了各学科成绩的相互关系.结果显示:主成分分析法可以对学生的综合成绩及文理选科提供参考;各学科成绩的相关显著,各学科成绩相互影响,文科各科之间和理科各科之间的影响更加显著.     

阳光体育背景下学生体育成绩评价体系构建之研究

本文通过对开展阳光体育运动的江苏省部分高校学生体育成绩评价方法进行分析比较,通过调查对拟定的指标进行筛选、修正、分析与汇总,得出合理的评价方法为：多元化的评价主体和多元化的评价指标,利用成绩权重数值的划分来确定学生体育成绩的分值,以此全面准确地反映学生体育运动总体状况,促进学生体质朝着健康的方向发展。     

用SPSS统计软件对五年制大专数学教育专业学生成绩的分析

本文应用SPSS统计软件对五年制大专数学教育专业学生的某些课程成绩进行有关统计分析,旨在客观、科学合理的评价学生,全面了解该专业学生的学习状况和特长,进而为教学提供一定的帮助。     

大学分析化学实验课的预选与考核

根据非重点本科院校学生的学习特点和学习状况,提出了大学分析化学实验课程进行课时预选和多次考核相结合的模式改革,以提高学生的学习主动性,同时提高学生的学习效率,更客观、公平地评价学生成绩,最终较好地实现大学分析化学实验课程的教学目标,培养出合格的胜任化学相关工作的专业人才。     

建立学习档案 量化评价学业

目前，我们评价学生的数学学习方法单一，问题不少。如学生和家长整天在“分数”的竞争氛围中，使成绩好的学生失去关心他人的热情，瞧不起分数比他低的同学。成绩差的学生因此失去对数学学习的信心。这种现象与我们现在构建的和谐校园很不协调。新课标为我们提出了数学这门学科的评价要求，“建立评价目标多元、评价方法多样的评价体系。”“对数学学习的评价要关注学生学习的结果，更要关注他们学习的过程……”这些要求给我们指明了如何评价学生的数学学习情况。那么，我们怎样在数学教学中进行全面、自主、和谐、有效地评价每一个学生呢？     

高校“卓越”班学生学业成绩的模糊综合评判方法

构建科学合理的"卓越计划"实施专业学生成绩综合测评系统有利于客观评价学生的学业水平、评价课程教师的教学效果,为学生的各级各类奖、助学金评定,评先评优以及毕业生就业推荐等提供参考依据.从成绩综合评价指标体系本身所具有的模糊性出发,分析了学生成绩评价的因素,结合分层成绩分析、模糊综合评价两种方法,建立学生模糊综合测评的数学模型,对学生成绩进行综合评价,并以我校卓越班为实例编写程序来实现成绩的模糊综合测评,结果验证了所提方法的可行性和有效性.     

应用型本科学生英语口语元认知学习策略的研究

大学英语教学改革的深入和发展使中国高等教育学者们逐渐展开了对元认知英语学习策略的研究。元认知策略指学生的自我学习意识和学习计划,要求学生培养学习监控和评价意识,也是保证学习活动高效的高级执行技能。针对应用型本科院校学生的英语成绩相对较差,尤其是口语水平更为薄弱的状况,我们要在英语课堂教学中对学生英语口语进行自我计划、自我监控和自我评价等策略的培训,使学生能够掌握英语口语学习策略,提高英语口语学习效率,进而掌握较好的英语口语能力。     

技工学校学生体育成绩评价探讨

在体育教学中成绩评价起着重要的导向作用。传统的学校体育教学中存在着只重视对学生体育成绩的评价,而忽视对学生学习态度、学习过程、个体差异等方面的评价。为了完善对体育教学评价的改革,本文采用文献调研、专家访谈和对比分析等方法,对技工学校学生体育成绩评价的科学性和可行性进行探讨和论证。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.