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The German Enlightenment
(2017)
The term Enlightenment (or Aufklärung) remains heavily contested. Even when historians delimit the remit of the concept, assigning it to a particular historical period rather than to an intellectual or moral programme, the public resonance of the Enlightenment remains high and problematic—especially when equated in an essentialist manner with modernity or some core values of ‘the West’. This Forum has been convened to discuss recent research on the Enlightenment in Germany, different views of the term and its ideological use in public discourse outside academia (and sometimes within it).
The interview offers a reconstruction of the German reception of Durkheim since the middle of the 1970s. Hans Joas, who was one of its major protagonists, discusses the backdrop that finally permitted a scholarly examination of Durkheim’s sociology in Germany. Focussing on his personal reception Joas then gives an account of the Durkheimian themes that inspire his work.
Just after the publication of the Theory of Communicative Action in 1981, a new generation of interpreters started a different reception of Durkheim in Germany. Hans-Peter Müller, sociologist and editor of the German translation of Leçons de sociologie, reconstructs the history of the German Durkheim’s Reception and illuminates the reasons for his interest in the French sociologist. He delivers different insights into the background which permitted the post-Habermasian generation to reach a new understanding of Durkheim’s work by enlightening the scientific and political conditions from which this new sensibility emerged.
New data from the LEADER trial show that the glucagon-like peptide 1 receptor agonist liraglutide protects against diabetic nephropathy in patients with type 2 diabetes mellitus. The renoprotective efficacy of liraglutide is not, however, as great as that reported for the sodium-glucose cotransporter 2 inhibitor emplagiflozin in the EMPA-REG OUTCOME trial.
Editorial
(2017)
Tailed bacteriophages specific for Gram‐negative bacteria encounter lipopolysaccharide (LPS) during the first infection steps. Yet, it is not well understood how biochemistry of these initial interactions relates to subsequent events that orchestrate phage adsorption and tail rearrangements to initiate cell entry. For many phages, long O‐antigen chains found on the LPS of smooth bacterial strains serve as essential receptor recognized by their tailspike proteins (TSP). Many TSP are depolymerases and O‐antigen cleavage was described as necessary step for subsequent orientation towards a secondary receptor. However, O‐antigen specific host attachment must not always come along with O‐antigen degradation. In this issue of Molecular Microbiology Prokhorov et al. report that coliphage G7C carries a TSP that deacetylates O‐antigen but does not degrade it, whereas rough strains or strains lacking O‐antigen acetylation remain unaffected. Bacteriophage G7C specifically functionalizes its tail by attaching the deacetylase TSP directly to a second TSP that is nonfunctional on the host's O‐antigen. This challenges the view that bacteriophages use their TSP only to clear their way to a secondary receptor. Rather, O‐antigen specific phages may employ enzymatically active TSP as a tool for irreversible LPS membrane binding to initiate subsequent infection steps.
Kijko et al. (2016) present various methods to estimate parameters that are relevant for probabilistic seismic-hazard assessment. One of these parameters, although not the most influential, is the maximum possible earthquake magnitude m(max). I show that the proposed estimation of m(max) is based on an erroneous equation related to a misuse of the estimator in Cooke (1979) and leads to unstable results. So far, reported finite estimations of m(max) arise from data selection, because the estimator in Kijko et al. (2016) diverges with finite probability. This finding is independent of the assumed distribution of earthquake magnitudes. For the specific choice of the doubly truncated Gutenberg-Richter distribution, I illustrate the problems by deriving explicit equations. Finally, I conclude that point estimators are generally not a suitable approach to constrain m(max).