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The solubilities of (S)-indoline-2-carboxylilc acid (SIn2CA) in six pure solvents including water, methanol, ethanol, 1-propanol, 2-propanol, and 1-butanol were determined from (283.15 to 358.15) K at atmospheric pressure using the synthetic method. The solubility was determined by a laser monitoring observation technique and found to increase with the rise of temperature. The experimental solubilities were correlated by the modified Apelblat and λh (Buchowski) equations with the relative deviation less than 3.65% with the modified Apelblat equation and less than 0.023% with the λh equation. Thermodynamic functions of the solution of SIn2CA in different solvents including apparent dissolution enthalpy and entropy were obtained by van’t Hoff equation, and the apparent dissolution Gibbs free energy change was also calculated.

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The Internet has become an indispensable tool in peoples' daily life. It also bring us serious computer security problem. One big security threat comes from malicious webpages. In this paper we study how to detect malicious pages. Since malicious webpages are generated inconstantly, we use on line learning methods to detect malicious webpages. To keep the client side as safe as possible, we do not download the webpages, and analysis webpages' content. We only use URL information to determine if the URL links to a malicious pages. The feature selection methods for URL are discussed, and the performances of different on line learning methods are compared. To improve the performance of on line learning classifiers, an improved on line learning method is proposed, experiments show that this method is effective.

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