Immunoassay for lysine8-vasopressin (LVP): Comparison of biological and immunological activity of lysine-vasopressin and some of its synthetic analogues

Résumé Ces résultats suggèrent d'une part que¹²⁵I-LVP monoiodée a peu d'activité antidiurétique, d'autre part que le noyau phénylalanine en position 3 est essentiel pour la liaison de l'antigène à l'anticorps et que les sites immunologiques et biologiques de l'hormone sont différents.

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Acknowledgments. We wish to thank ProfessorS. Jard (Collège de France, 11, place Marcellin Berthelot, Paris 5^eme) for his valuable advice in connection with this work. LVP analogues were generously supplied by Dr.R. A. Boissonnas of Sandoz Pharmaceuticals.     

Cantharidin analogues and their attractancy for ceretopogonid flies (Diptera: Ceratopogonidae)

Several ceratopogonid flies are attracted to cantharidin and ingest it from both cantharidin-baits and from meloid beetles, one of the few known natural sources for cantharidin. Because meloids are absent in northern Bavaria, and certain canthariphilous flies of the genusAtrichopogon are temporarily associated with certain plants (Apiaceae, Aristolochiaceae), it was suggested that canthariphilous ceratopogonids might be generally attracted by chemically similar plant-derived compounds. At first the seasonal fluctuating attractancy, sex ratio and behaviour ofA. oedemerarum Storå was studied at cantharidin baits. Synthetic cantharidin analogues exhibited an attractancy forA. oedemerarum if the exo,exo-7-oxabicyclo[2.2.1]heptane skeleton of cantharidin was associated with a 2,3-dicarboxylic anhydride or a 2,3--lactone. According to structure-activity studies, the analogues seem to fit best into the active site of the receptor if the carbonyl function of the -lacton is in the exo- and 2-position. This is the first report indicating that molecules other than cantharidin are attractive for canthariphilous insects.     

Assessing the Macroeconomic Forecasting Performance of Boosting: Evidence for the United States,the Euro Area and Germany

The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high‐dimensional data for this purpose. It is a stage‐wise additive modelling procedure, which, in a linear specification, becomes a variable selection device that iteratively adds the predictors with the largest contribution to the fit. Using data for the United States, the euro area and Germany, we assess the performance of boosting when forecasting a wide range of macroeconomic variables. Moreover, we analyse to what extent its forecasting accuracy depends on the method used for determining its key regularization parameter: the number of iterations. We find that boosting mostly outperforms the autoregressive benchmark, and that K‐fold cross‐validation works much better as stopping criterion than the commonly used information criteria. Copyright © 2014 John Wiley & Sons, Ltd.     

一种基于演化密码和HMM改进的Koblitz安全曲线产生新方法

考虑未来云计算攻击和量子计算机攻击,需要储备安全强度更高的ECC安全曲线．利用隐Markov模型（HMM）预测迹向量解决基点计算难题,完善基于演化密码思想提出的Koblitz安全曲线产生新算法,完成了F（2 2000）以内Koblitz安全曲线的搜索实验,产生的安全曲线基域的覆盖范围、曲线的规模和产生效率均超过美国NIST的公开报道参数．可提供的安全曲线的基域和基点最高超过1900bit,远超过美国NIST公布的571bit．在NIST公布的F（2163）-F（2571）范围之间还有新的安全曲线发现．对产生的安全曲线进行了详细的安全分析,表明与NIST推荐的安全曲线具有相同的安全准则．