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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research papers, whether they are published or not, and for PhD dissertation. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

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L'étude porte sur une électrode à butyrylcholinestérase immobilisée, destinée à la détection de pesticides et insecticides inhibiteurs de cette enzyme, en particulier les organophosphorés et les carbamates. Les conditions optimales de mise au point et d'utilisation de cette électrode sont étudiées, ainsi que son comportement en présence d'inhibiteurs solubles dans l'eau, représentés, par le paraoxon. La détection d'inhibiteurs insolubles dans l'eau est effectuée dans un mélange tampon phosphate-éthanol ou méthanol. Le champ des interférences connues est élargi aux sels d'halogénures, et les possibilités de régénération de la butyrylcholinestérase inhibée optimisées. La détection en routine d'inhibiteurs dans les eaux exposées à des risques de pollution accidentelle est mise au point grâce à un ensemble automatisé, dont le fonctionnement est explicité. Un modèle théorique permet d'expliciter certains résultats de l'expérience.
Scientific workflows have become a valuable tool for large-scale data processing and analysis. This has led to the creation of specialized online repositories to facilitate workflow sharing and reuse. Over time, these repositories have grown to sizes that call for advanced methods to support workflow discovery, in particular for effective similarity search. Here, we present a novel and intuitive workflow similarity measure that is based on layer decomposition. Layer decomposition accounts for the directed dataflow underlying scientific workflows, a property which has not been adequately considered in previous methods. We comparatively evaluate our algorithm using a gold standard for 24 query workflows from a repository of almost 1500 scientific workflows, and show that it a) delivers the best results for similarity search, b) has a much lower runtime than other, often highly complex competitors in structure-aware workflow comparison, and c) can be stacked easily with even faster, structure-agnostic approaches to further reduce runtime while retaining result quality.
With the increasing popularity of scientific workflows, public repositories are gaining importance as a means to share, find, and reuse such workflows. As the sizes of these repositories grow, methods to compare the scientific workflows stored in them become a necessity, for instance, to allow duplicate detection or similarity search. Scientific workflows are complex objects, and their comparison entails a number of distinct steps from comparing atomic elements to comparison of the workflows as a whole. Various studies have implemented methods for scientific workflow comparison and came up with often contradicting conclusions upon which algorithms work best. Comparing these results is cumbersome, as the original studies mixed different approaches for different steps and used different evaluation data and metrics. We contribute to the field (i) by disecting each previous approach into an explicitly defined and comparable set of subtasks, (ii) by comparing in isolation different approaches taken at each step of scientific workflow comparison, reporting on an number of unexpected findings, (iii) by investigating how these can best be combined into aggregated measures, and (iv) by making available a gold standard of over 2000 similarity ratings contributed by 15 workflow experts on a corpus of almost 1500 workflows and re-implementations of all methods we evaluated.
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  • The deposit of a document requires the agreement of all its authors, and it must respect editor policy
  • A submitted document passed a moderation process. It can be rejected if it does not fullfill HAL criteria (see contributor guide)
  • Once a document is put online, it cannot be withdrawn
  • Refer to the manuHAL
For readers 
  • Within the context of electronic communication, rules about intellectual property do apply. In particular, authors must be correctly recognized as such, and their work must be cited if used.
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  • HAL metadata may be totally or in part browsed by OAI-PMH harvesting ;
  • No commercial use of the extracted data ;
  • The source must be cited (eg hal.archives-ouvertes.fr/hal-00000001).

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