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    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    METHOD FOR THE PREPARATION AND THE USE OF BIOCIDES ENRICHED IN ACTIVE RADICALS BEFORE USAGE

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    The present description relates to a method for preparing a biocide enriched in oxygen-centred free radicals through UV radiation, a biocide enriched in oxygen- centred free radicals thus obtained, a method for sterilizing waters, a method for controlling the colonisation of micro-organisms in treated waters, as well as a method for controlling and/or for controlling and preventing the colonisation on the surfaces of submerged structures by aquatic filtering organisms that use said biocide enriched in oxygen-centred free radicals and plants suitable for implementing said methods

    Quality modeling for the Medium Grain Scalability option of H.264/SVC

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    Rate vs. quality is a crucial trade off not only for efficient video coding and transmission but also for adaptive transmission strategies in wireless networks and/or congestion-prone networks. Scalable coders are well suited to tackle the time-varying capacities of these environments. In this paper we propose a semi-analytical model suitable for the medium grain scalable option of the H.264 standard and discuss the parameters influencing its performance. Results show it can effectively be used to represent the expected rate for different quality layers and thus its applicability to algorithms for resource optimization
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