一般超图的张量谱性质

将一致超图的逆Perron值的概念推广到了一般超图上,并证明了超图G连通的充要条件为其逆Perron值大于0。同时给出了一般超图G的二分宽度、等周数、离心率基于逆Perron值的一些下界。最后,讨论了张量的可奇染色问题,得到非负对称弱不可约张量A可奇染色的充要条件为A的拉普拉斯张量和无符号拉普拉斯张量有相同的的谱。     

QSAR studies on estrogen receptor binding affinity of 2-phenylindoles using first-order valence molecular connectivity

The estrogen receptor binding affinity of 2-phenylindoles is found to be significantly correlated with Kier’s first-order valence molecular connectivity index. The correlation equations obtained provide a much simple rationale to design more potent compounds and help in predicting the potency of new compounds.     

Pitman closeness results for Type-I censored data from exponential distribution

Recent work on Pitman closeness has compared estimators under Type-II censored samples from exponential distribution based on observed number of failures. In this paper, we carry out similar Pitman closeness comparisons for Type-I censored samples from exponential distribution based on time under test.     

条件g-期望的矩不等式

找到了几个使条件g-期望的矩不等式在一般意义下成立的关于g和g-期望的充分条件.     

修正的分子连接性指数mL用于氯代苯、醇、酯的QSAR/QSRR研究

在分子拓扑理论的基础上，提出了1个改进的连接性指数气^mL并用气研究了氯代苯、醇、酯的正辛醇-水分配系数及气相色谱保留指数，^mL不仅对这些有机化合物有良好的结构选择性，而且与其正辛醇-水分配系数、气相色谱保留指数有良好的相关性；由方程得出的预测值与实验测定值之间能较好地吻合。     

Exploiting the performance of dictionary-based bio-entity name recognition in biomedical literature

Bio-entity name recognition is the key step for information extraction from biomedical literature. This paper presents a dictionary-based bio-entity name recognition approach. The approach expands the bio-entity name dictionary via the Abbreviation Definitions identifying algorithm, improves the recall rate through the improved edit distance algorithm and adopts some post-processing methods including Pre-keyword and Post-keyword expansion, Part of Speech expansion, merge of adjacent bio-entity names and the exploitation of the contextual cues to further improve the performance. Experiment results show that with this approach even an internal dictionary-based system could achieve a fairly good performance.     

过渡元素卤化物标准生成焓的连接性拓扑研究

基于邻接矩阵和成键原子的价环值（Ｖ１）,建立２个新连接性指数（＾０Ｈ,＾１Ｈ）。它们与３３种过渡元素卤化物标准生成焓的直线方程为：－△Θｍ＝－３８．３９＋２２８．０８＾０Ｈ,ｒ＝０．９９０３－△ｆＨΘｍ＝１２７．４５＋３１８．５０＾１Ｈ,ｒ＝０．９８４０与其它指数相比,新指数计算更为准确。结果表明,＾０Ｈ、＾１Ｈ具有良好的结构选择性和性质相关性,可用于预测其它过渡元素卤化物的标准生成焓。     

分子连接性指数与薄层色谱保留值的相关性研究

把分子连接性指数法应用到１０种氨基酸、１１种硫醚、６种硫醇和２０种醛、酮的２,４－二硝基苯腙薄层色谱保留值的相关性研究中。结果表明,相关系数均达优良级,标准偏差均在实验误差内。从而说明分子连接性指数法用在预测色谱保留值方面的广泛性和可靠性。     

Hazard Evaluation of Ten Organophosphorus Insecticides Against the Midge,Chironomus riparius via QSAR

Abstract

Toxicities of ten organophosphorus (OP) insecticides were measured against midge larvae (Chironomus riparius) under varying temperature (11, 18, and 25°C) and pH (6, 7, and 8) conditions and with and without sediment. Toxicity usually increased with increasing temperature and was greater in the absence of sediment. No trend was found with varying pH. A series of unidimensional parameters and multidimensional models were used to describe the changes in toxicity. Log K _ow was able to explain about 40–60% of the variability in response data for aqueous exposures while molecular volume and aqueous solubility were less predictive. Likewise, the linear solvation energy relationship (LSER) model only explained 40–70% of the response variability, suggesting that factors other than solubility were most important for producing the observed response. Molecular connectivity was the most useful for describing the variability in the response. In the absence of sediment, ¹χ ^v and ³κ were best able to describe the variation in response among all compounds at each pH (70–90%). In the presence of sediment, even molecular connectivity could not describe the variability until the partitioning potential to sediment was accounted for by assuming equilibrium partitioning. After correcting for partitioning, the same molecular connectivity terms as in the aqueous exposures described most of the variability, 61–87%, except for the 11°C data where correlations were not significant. Molecular connectivity was a better tool than LSER or the unidimensional variables to explain the steric fitness of OP insecticides which was crucial to the toxicity.