8 research outputs found

    Automatic Synthesis of Regular Expressions from Examples

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    We propose a system for the automatic generation of regular expressions for text-extraction tasks. The user describes the desired task only by means of a set of labeled examples. The generated regexes may be used with common engines such as those that are part of Java, PHP, Perl and so on. Usage of the system does not require any familiarity with regular expressions syntax. We performed an extensive experimental evaluation on 12 different extraction tasks applied to real-world datasets. We obtained very good results in terms of precision and recall, even in comparison to earlier state-of-the-art proposals. Our results are highly promising toward the achievement of a practical surrogate for the specific skills required for generating regular expressions, and significant as a demonstration of what can be achieved with GP-based approaches on modern IT technology

    Camera-based Scrolling Interface for Hand-held Devices

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    The Reaction Time to Web Site Defacements

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    Web site defacement has become a common threat for organizations exposed on the web. There exist several statistics that indicate the number of incidents of this sort but there is a crucial piece of information still lacking: the typical duration of a defacement. Clearly, a defacement lasting one week is much more harmful than one of few minutes. In this paper we present the results of a two months monitoring activity that we performed over more than 62000 defacements in order to figure out whether and when} a reaction to the defacement is taken. We show that such time tends to be unacceptably long---in the order of several days---and with a long-tailed distribution. We believe our findings may improve the understanding of this phenomenon and highlight issues deserving attention by the research community

    The Reaction Time to Web Site Defacements

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    Human Colostrum and Breast Milk Contain High Levels of TNF-Related Apoptosis-Inducing Ligand (TRAIL).

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    Background: TNF-related apoptosis inducing ligand (TRAIL) is a pleiotropic cytokine, which plays a key role in the immune system as well as in controlling the balance of apoptosis and proliferation in various organs and tissues.Objective: To investigate the presence and levels of soluble TRAIL in human colostrum and milk.Methods: The levels of soluble human TRAIL were measured in human colostrum (day 2 after delivery) and breast milk (day 5 after delivery). The presence of TRAIL was also measured in infant formula.Results: Levels of soluble TRAIL in the colostrum and mature human milk were, respectively, at least 400 and 100 fold higher than those detected in human serum. No TRAIL was detected in formula.Conclusion: Human soluble TRAIL is present at extremely high levels in human colostrum and human milk and might have a significant role in mediating the anti-cancer activity of human milk
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