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    Development of a self-sufficient dynamic façade within the context of climate change

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    Building envelope design is rising in relevance and, within this specific context, the application of passive and climate adaptive building shells (CABS) is investigated as an opportunity for energy savings and improvement of users’ thermal and visual comfort. The paper reports a research concerning the climatic based development of a customized dynamic façade based on a passive self-adaptable system to climatic conditions via actuators. The solution is designed with the aid of a customized workflow based on Ladybug Tools, which is calibrated according to recorded thermal-mechanical behaviours and allow to predict the energy and thermal/visual comfort dynamic performances. The system is tested in four European climates and sky types, tracing the scenarios of its adaptability under various settings. The results indicate that the system by its constant mechanical changes due to the variation of temperatures provides a higher degree of adaptation, energy-saving and indoor thermal and visual comfort

    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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