竞赛论文评分合成的协同修正预测算法

竞赛论文评分合成的协同修正预测算法是针对竞赛论文分数评分中存在缺省值、各评委的评分标准不同,且评委的能力水平之间也存在客观差异等问题.在分析误差来源的基础上,根据评委协同打分原理预测缺省数据,并利用评委间打分的相关性修正低水平打分,最终合成分数的算法.这种算法合成的竞赛论文分数,不仅在理论上与论文水平更一致,而且这种一致性,也通过了仿真计算的检验.结果显示,不管是系统一致性还是优秀论文选拔的准确性,协同修正预测算法都优于传统方法.

群组信息优化矩阵分解的群组推荐方法

随着网络群组功能的兴起,向用户群组直接生成推荐列表可以有效减少用户的搜索过程和检索时间,组推荐的研究与应用逐渐受到关注。为此,提出基于改进矩阵分解的群组推荐算法,算法首先根据用户共有群信息计算用户间的相关性,并将其集成到矩阵分解中以生成单用户的偏好评分,然后采用基于均值与最小辛苦策略融合的修正满意平衡策略进行评分融合,实现有效的群组推荐。与已有算法对比实验结果表明,提出算法在各评价指标上的群组推荐更优。

基于群组信息改进矩阵分解的群组推荐方法

随着网络群组功能的兴起,向用户群组直接生成推荐建议可以有效减少用户搜寻其感兴趣项目的搜索过程和检索时间,为此提出基于改进矩阵分解的群组推荐算法。以融入群组特有信息的矩阵分解为基础模型,根据用户间的共有群信息计算其相关性,并将其集成到矩阵分解中以生成群内单用户的偏好评分。采用群推荐中常用的三种策略进行个人评分融合,实现有效的群组推荐。与已有算法进行对比实验,结果表明,该算法在各评价指标上的群组推荐性能更优。

Fuzzy Synthetic Evaluation of Water Quality of Naoli River Using Parameter Correlation Analysis

In order to improve the effectiveness of Fuzzy Synthetic Evaluation (FSE) models, a Parameter Correlation Analysis (PCA) was introduced into the FSE and a case study was carried out in the Naoli River in the Sanjiang Plain, Northeast China. The basic principle of the PCA is that the pairs of parameters which are highly correlated and linear with each other would contribute the same information to an assessment and one of them should be eliminated. The method of the PCA is that a correlation relationship among candidate parameters is examined before the FSE. If there is an apparent nonlinear or curvilinear relationship between two parameters, then both will be retained; if the correlation is significant (p<0.01), and the scatter plot suggests a linear relationship, then one of them will be deleted. However, which one will be deleted? For solving this problem, a sensitivity test was conducted and the higher sensitivity parameters remained. The results indicate that the original data should be preprocessed through the PCA for redundancy and variability. The study shows that introducing the PCA into the FSE can simplify the FSE calculation process greatly, while the results have not been changed much.

Preparation of MnO_2 and calcium silicate hydrate from electrolytic manganese residue and evaluation of adsorption properties

Electrolytic manganese residue(EMR), a high volume byproduct resulting from the electrolytic manganese industry, was used as a cheap and abundant chemical source for preparing MnO2 and EMR-made calcium silicate hydrate(EMR-CSH). The MnO2 is successfully synthesized from the metal cations extracted from EMR, which can effectively recycle the manganese in the EMR. By the combination of XRD, SEM and EDX analysis, the as-prepared MnO2 is found to exhibit a single-phase with the purity of 90.3%. Furthermore, EMR-CSH is synthesized from EMR via hydrothermal method. Based on the detailed analyses using XRD, FT-IR, FE-SEM, EDX and BET surface area measurement, the product synthesized under the optimum conditions(p H 12.0 and 100 °C) is identified to be a calcium silicate hydrate with a specific surface area of 205 m2/g incorporating the slag-derived metals(Al and Mg) in its structure. The as-synthesized material shows good adsorption properties for removal of Mn2+ and phosphate ions diluted in water, making it a promising candidate for efficient bulk wastewater treatment. This conversion process, which enables us to fabricate two different kinds of valuable materials from EMR at low cost and through convenient preparation steps, is surely beneficial from the viewpoint of the chemical and economical use of EMR.

Comparison between PCA and KPCA methods in comprehensive evaluation of robotic kinematic dexterity

Due to the correlation and diversity of robotic kinematic dexterity indexes, the principal component analysis （PCA） and kernel principal component analysis （KPCA） based on linear dimension reduction and nonlinear dimension reduction principle could be respectively introduced into comprehensive kinematic dexterity performance evaluation of space 3R robot of different tasks. By comparing different dimension reduction effects, the KPCA method could deal more effectively with the nonlinear relationship among different single kinematic dexterity indexes, and its calculation result is more reasonable for containing more comprehensive information. KPCA＇ s calculation provides scientific basis for optimum order of robotic tasks, and furthermore a new optimization method for robotic task selection is proposed based on various performance indexes.

Preliminary Studies and Antimicrobial Evaluation of the Aerial Parts of Genista numidica ssp. numidica

Genista numidica Spach ssp numidica （Spach） Batt. is a northeast Algerian endemic plant; the aim of this work is about the phytochemical screening, the microscopic analysis and the antimicrobial activity of the aerial parts of this species （stems, flowers, seeds and pods）; there is a wealth in polyphenolic compounds： flavonoids （method of Charaux, Paris, 1964） and saponins （method of Braune et al, 1969）, tannins, terpenes, sterols and fatty acids. The microscopic analysis doesn＇t allow a differential identification of the species. The results of aromatogram by the incorporation method of Muller-Hinton on solid medium, showed a significant antimicrobial activity （method Duraffourd,1987） of the extracts, infusion, and the active substances towards bacterial strains, essentially those recognized as antibiotic resistant （Staphylococcus, Acinetobacter, Pseudomonas, Enterobacter, Citrobacter）; the results obtained indicate that the most efficient antibacterial activity was obtained with the pod infusion, the seed extract and the flavonoids. The raw extract has an important antifungal activity on Candida albicans. This could open opportunities for using this species in the treatment of urinary, respiratory, intestinals and cutaneous infections, and as a disinfecting additive on nosocomial area.

Comprehensive Evaluation of Sichuan Province Logistics Ability Based On Principal Component Analysis

Regional economy is the foundation for the development of the regional logistics and regional logistics as the support of the regional economic development, both interdependence, coordinated development, become the important factor of regional economic sus-tained and rapid development. This article selects relevant statistical data from 2002 to 2011 in Sichuan province were analyzed, and the quantitative mathematical model was established based on principal component analysis （pca）, and through the model for comprehensive evaluation of regional logistics caoability of Sichuan orovince.

Proximate Composition Determination and Sensory Evaluation of ＂Donkwa＂ Produced from a Blend of Tigernuts and Groundnut

The effect of preparing ＂donkwa＂ from a blend of tigernut and groundnut at different proportion （90：10, 80：20, 70：30 and 50：50 （tigernut：groundnut）） was evaluated on the proximate composition and sensory qualities. This was compared with a sample of ＂donkwa＂ prepared by the popular method from a blend of maize and groundnut. The results revealed the protein content range of 21.84%-23.67% with tigernut based ＂donkwa＂, while the protein content of maize based ＂donkwa＂ was 21.60% at 50：50 （maize：groundnut） ratio. The highest value was also recorded for fiber content with maize based ＂donkwa＂ （50：50） which was 3.63% with no significant difference from the value obtained from tigernut based ＂donkwa＂ at 90：10 （tigernut：groundnut） ratio which was 3.25%. The sensory qualities revealed that the tigernut based ＂donkwa＂ compared favourably with the maize based ＂donkwa＂ with indication that there was no significant difference in terms of colour among the samples. There was significant difference among the samples in terms of taste, texture, flavour and general acceptability with the maize based ＂donkwa＂ most preffered in terms texture and general acceptability. In conclusion, the results obtained show the possibility of preparing ＂donkwa＂ from tigernut to give a nutritious and highly acceptable product.

Comprehensive Appraisal of Provincial Low Carbon Development:A Case Study of China

In this research,the Factor Analysis model of measuring provincial low carbon development in China has been constructed.Based on data from 30 provinces,an empirical study was developed to measure comprehensive low carbon development using the Factor Analysis model(Principal Components method and Normalized Varimax Rotation).The results reveal that the provincial marks of low carbon development are generally low and only nine provinces have high marks(more than 0.80).The results also show significant regional disparity.The provincial marks of the eastern region are higher than both the middle and western provinces of China's Mainland.All of the provinces with high marks(more than 0.90) are located in the eastern region,and those with the lowest marks(0.60) are located in the middle region.Furthermore,regional disparity in low carbon development follows the same pattern as economic development in China.Finally,some suggestions for decision-makers are presented.

Synthesis of novel β-amino ketones containing a p-aminobenzoic acid moiety and evaluation of their antidiabetic activities

The synthesis of two series of [3-amino ketones containing a p-aminobenzoic acid moiety （TM.1 and TM-2） using a modified protocol of the Mannich reaction is reported. The molecular structures of a total of tweenty three new target compounds were characterized by ~H NMR, 1~C NMR, ESI-MS and HR-MS. Subsequently, their antidiabetic activities were screened in vitro. The c^-glucodase inhibition （c^-GI） activity of compound le reached a remarkable level of 66.50%. The peroxisome proliferator- activated receptor （PPAR） relative activation activities of six compounds are above 80%, and in particular 2i displays an un- precedentedly high PPAR of 130.91%. The structure-activity relationships of the compounds were established. 2i is also sub- ject to further in-depth investigation.