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Secretory granules, isolated from bovine neurohypophyses on isoosmolar Percoll-sucrose-EGTA gradients had a calmodulin content of 0.09 +/- 0.01 micrograms/mg protein (SE, n = 6). The distribution of calmodulin on the gradient showed that it did not copurify with the granules. Specific binding sites for calmodulin with a high affinity (Kd = 2.43 +/- 0.27 X 10(-9) M (SE, n = 5] and a maximum binding capacity of 1.3 +/- 0.4 pmol/mg protein (SE, n = 5) could be demonstrated when such secretory granules were incubated with 125I-calmodulin.

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This chapter summarises the current level of language technologies (LT) and resources for Danish (Pedersen et al. 2022). Even if Danish LTs are now being used in many areas of society, their quality still needs to be improved in order to make them more useful and inclusive for the majority of the population. To this end, the development of large, high-quality language resources and data sets still proves to be a bottleneck. We report, however, on an increased awareness of sharing and reusing language resources and data sets across public institutions, academia and industry. New, large governmental initiatives within the area of AI and LT have been initiated which support this development.

In this paper we investigate the Danish sense inventory from a paradigmatic and a syntagmatic perspective, respectively, and we present a collection of related lexical semantic resources that we have developed in collaboration between The Society for Danish Language and Literature and The University of Copenhagen. The resources comprise a Danish wordnet (DanNet), The Danish FrameNet Lexicon, and The Danish Sentiment Lexicon. All three resources are designed to enable semantic processing to be used in digital humanities research as well as more broadly in language-centric technology development. Finally, in order to illustrate the use of the resources when processing running text, we provide some annotation examples of each resource.