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This contribution exemplifies a workflow for the quantitative operationalization and analysis of historical literary reception. We will show how to encode literary historical information in a dataset that is suitable for quantitative analysis and present a nuanced and theory-based perspective on automated sentiment detection in historical literary reviews. Applying our method to corpora of English and German novels and narratives published from 1688 to 1914 and corresponding reviews and circulating library catalogs, we investigate if a text’s popularity with lay audiences, the attention from contemporary experts or the sentiment in experts’ reviews can be predicted from textual features, with the aim of contributing to the understanding of how literary reception as a social process can be linked to textual qualities.

The combination of the advantageous properties of molecular and solid catalysts is considered the “Holy Grail” in catalysis research. Great potential is provided by nanoporous polymers. Chemically well-defined moieties in combination with a high stability render these materials suitable as catalyst supports for liquid-phase and even aqueous-phase catalytic processes, especially regarding the transition from fossil resources to renewable resources. In this Minireview, recent developments are summarized, covering the three main approaches: solid metal-free organocatalysts, immobilized molecular catalyst species, and supported metal nanoparticles and clusters. Their potential is evaluated and the question as to whether nanoporous polymers can bridge the gap between homogeneous and heterogeneous catalysis is critically discussed.

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