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Has Fulltext
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The neuronal dynamics of auditory language comprehension : (Akademievorlesung am 12. November 1998)
(1999)
Introduction : how much is enough, but not too much ; (Ernst-Mayr-Lecture am 27. Oktober 1998)
(1999)
Research in Silicon Valley
(1998)
The computer has come to play a transformative role in the ways we model, store, process and study text. Nevertheless, we cannot yet claim to have realised the promises of the digital medium: the organisation and dissemination of scholarly knowledge through the exchange, reuse and enrichment of data sets. Despite the acclaimed interdisciplinary nature of digital humanities, current digital research takes place in a closed environment and rarely surpasses the traditional boundaries of a field. Furthermore, it is worthwhile to continue questioning the models we use and whether they are actually suitable for our scholarly needs. There’s a risk that the affordances and limitations of a prevailing model may blind us to aspects it doesn’t support.
In her talk, Elli Bleeker discusses different technologies to model data with respect to their expressive power and their potential to address the needs of the scholarly community. Within this framework, she introduces a new data model for text, Text-As-Graph (TAG), and it’s reference implementation Alexandria, a text repository system. The TAG model allows researchers to store, query, and analyse text that is encoded from different perspectives. Alexandria thus stimulates new ways of looking at textual objects, facilitates the exchange of information across disciplines, and secures textual knowledge for future endeavours. From a philosophical perspective, the TAG model and the workflow of Alexandria raise compelling questions about our notions of textuality, and prompt us to reconsider how we can best model the variety of textual dimensions.
When managing large quantities of data, it is a common solution to utilize a centralized data management software to forge a connection between metadata and the data objects themselves. In case of text-based objects without any attached metadata, it is easy for humans to contextualize these objects by recognizing patterns such as filenames, titles, authors etc. This task becomes a challenge when dealing with non-text-based objects like images in the cultural heritage domain. Without metadata or expert knowledge, it becomes difficult to estimate the creation date of a painting or tell the name of its painter. Thus, the ability to contextualize data depends on whether there is a working connection between the metadata store and the data object itself. This connection fails as soon as the file is moved on the file system without having these changes also applied in the corresponding
data base, or when the file is shared without a reference to its original location. This paper presents an approach to overcome that type of co-dependency by utilizing XMP to embed cultural heritage metadata directly into image files to ensure their location-independent long-term preservation. The “Corpus Vitrearum Medii Aevi” Germany (CVMA) project serves as an example use-case.
quoteSalute strives to make data of digital scholarly editions of letters (DSELs) accessible in a playful fashion by enabling users to integrate salutations from DSELs in their own email correspondence. The foundation of quoteSalute is a curated TEI-XML text corpus which has been created by extracting <salute>-tags from TEI-XML-encoded DSELs. For providing users with fitting salutations, we annotated the data regarding language, level of politeness and intended gender of sender and receiver.
The short paper introduces the concept of possible branches of double-stranded DNA (later sometimes called palindromes): Certain sequences of nucleotides may be followed, after a short unpaired stretch, by a complementary sequence in reversed order, such that each DNA strand can fold back on itself, and the DNA assumes a cruciform or tree-like structure. This is postulated to interact with regulatory proteins.
Socioeconomic inequalities are functions not only of intrinsic differences between persons or groups, but also of the dynamics of their interactions. Inequalities can arise and become stabilized if there are advantages (such as generalized wealth including “human capital”) which are self-enhancing, whereas depletion of limiting resources is widely distributed. A recent theory of biological pattern formation has been generalized, adapted and applied to deal with this process. Applications include models for the non-Gaussian distribution of personal income and wealth, for overall economic growth in relation to inequalities and for effects of uncoupling strategies between developing and developed countries. Note added after publication: The equations (14) for the model of the income distribution, with its characteristic non-Gaussian extension towards higher incomes (fig.4), are closely related to the Fokker-Planck equation that is widely applied in many fields of physics.
New, precise genetic engineering methods for genome alteration in living cells, which can be classed together under the generic heading “genome surgery”,are currently sparking a revolution in biomedical research. The Interdisciplinary Research Group Gene Technology Report is, in principle, in favour of research on these promising new methods for the medical sector. However, for the time being, it has clearly spoken out against gene surgery experiments on the human germ line, which could also enter the realm of possibility thanks to these methods.The research group, therefore, supports the call, which has already been discussed at length in scientific and public circles, for a moratorium for germ line experiments. The period of the moratorium should be used to debate the experimental,
ethical and legal aspects of germ line therapy in an open, transparent
and critical manner with a view to more clearly defining the opportunities and
risks of these technologies for man and nature, and to elaborating recommendations for future regulations. The goal of this analysis is to promote a discourse of this kind.