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    How the management aspects can affect the results of the QRA

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    This paper describes a case study in which Quantitative Risk Assessment (QRA) was used as the background for lay-out modifications to improve the reliability, and thus the productivity, of a batch plant for distilling the production residues of a photo initiator for ecological paints. QRA identified the plant's critical features. Its reliability was assessed in the light of the literature data coupled with its reported anomaly history. Theoretical improvements in reliability were put into effect through unscheduled maintenance operations. Redundancies, for example, were introduced in the solvent tank level control system and the solvent line valves were replaced with a more reliable model

    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
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