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Erinnerungsdiskurs und Identitätskonstruktion in Carmen Elisabeth Puchianus Roman "Patula lacht"
(2013)
The novel of Romanian-born German author Carmen Elizabeth Puchianu Patula lacht, was published in 2012 by the Karl Stutz Passau publishing house in Germany. The novel is hybrid in nature, with discourse oscillating constantly between the factual and the fictional, many of the events being autobiographical and rendered in the form of recollections. The present article sets out to analyse Carmen Elizabeth Puchianu’s above-mentioned novel in terms of the recollection techniques used. This study is based on research in literary and cultural theory issued over the past several years. The interference between recollection and identity – which is not regarded as an entity proper but rather as one that is built and enriched with multiple facets throughout the narrative – is also investigated.
Background: The COVID-19 pandemic has spurred large-scale, inter-institutional research efforts. To enable these efforts, the German Corona Consensus (GECCO) dataset has been developed previously as a harmonized, interoperable collection of the most relevant data elements for COVID-19-related patient research. As GECCO has been developed as a compact core dataset across all medical fields, the focused research within particular medical domains demanded the definition of extension modules that include those data elements that are most relevant to the research performed in these individual medical specialties.
Main body: We created GECCO extension modules for the immunization, pediatrics, and cardiology domains with respect to the pandemic requests. The data elements included in each of these modules were selected in a consensus-based process by working groups of medical experts from the respective specialty to ensure that the contents are aligned with the research needs of the specialty. The selected data elements were mapped to international standardized vocabularies and data exchange specifications were created using HL7 FHIR profiles on the appropriate resources. All steps were performed in close interdisciplinary collaboration between medical domain experts, medical information scientists and FHIR developers. The profiles and vocabulary mappings were syntactically and semantically validated in a two-stage process. In that way, we defined dataset specifications for a total number of 23 (immunization), 59 (pediatrics), and 50 (cardiology) data elements that augment the GECCO core dataset. We created and published implementation guides and example implementations as well as dataset annotations for each extension module.
Conclusions: We here present extension modules for the GECCO core dataset that contain data elements most relevant to COVID-19-related patient research in immunization, pediatrics and cardiology. These extension modules were defined in an interdisciplinary, iterative, consensus-based approach that may serve as a blueprint for the development of further dataset definitions and GECCO extension modules. The here developed GECCO extension modules provide a standardized and harmonized definition of specialty-related datasets that can help to enable inter-institutional and cross-country COVID-19 research in these specialties.
The present text is dedicated to an anthology of German poetry from Romania, which was collected in 1980 but could not be published during the communist dictatorship and was subsequently published in 2022 to great success on the German book market. The anthology illustrates the fact that a modern movement parallel to the one in Germany emerged within the insular German-language literature in Romania, developing a set of very distinct particularities.
Background The COVID-19 pandemic has spurred large-scale, inter-institutional research efforts. To enable these efforts, researchers must agree on dataset definitions that not only cover all elements relevant to the respective medical specialty but that are also syntactically and semantically interoperable. Following such an effort, the German Corona Consensus (GECCO) dataset has been developed previously as a harmonized, interoperable collection of the most relevant data elements for COVID-19-related patient research. As GECCO has been developed as a compact core dataset across all medical fields, the focused research within particular medical domains demands the definition of extension modules that include those data elements that are most relevant to the research performed in these individual medical specialties.
Objective To (i) specify a workflow for the development of interoperable dataset definitions that involves a close collaboration between medical experts and information scientists and to (ii) apply the workflow to develop dataset definitions that include data elements most relevant to COVID-19-related patient research in immunization, pediatrics, and cardiology.
Methods We developed a workflow to create dataset definitions that are (i) content-wise as relevant as possible to a specific field of study and (ii) universally usable across computer systems, institutions, and countries, i.e., interoperable. We then gathered medical experts from three specialties (immunization, pediatrics, and cardiology) to the select data elements most relevant to COVID-19-related patient research in the respective specialty. We mapped the data elements to international standardized vocabularies and created data exchange specifications using HL7 FHIR. All steps were performed in close interdisciplinary collaboration between medical domain experts and medical information scientists. The profiles and vocabulary mappings were syntactically and semantically validated in a two-stage process.
Results We created GECCO extension modules for the immunization, pediatrics, and cardiology domains with respect to the pandemic requests. The data elements included in each of these modules were selected according to the here developed consensus-based workflow by medical experts from the respective specialty to ensure that the contents are aligned with the respective research needs. We defined dataset specifications for a total number of 48 (immunization), 150 (pediatrics), and 52 (cardiology) data elements that complement the GECCO core dataset. We created and published implementation guides and example implementations as well as dataset annotations for each extension module.
Conclusions These here presented GECCO extension modules, which contain data elements most relevant to COVID-19-related patient research in immunization, pediatrics and cardiology, were defined in an interdisciplinary, iterative, consensus-based workflow that may serve as a blueprint for the development of further dataset definitions. The GECCO extension modules provide a standardized and harmonized definition of specialty-related datasets that can help to enable inter-institutional and cross-country COVID-19 research in these specialties.
The book Dante und das Gedächtnis [Dante and Memory], published in 2021 by Schwabe Verlag Basel, is a complex interdisciplinary study addressing the issue of memory in the works of the medieval Italian writer and philosopher Dante Alighieri. The study is focused on a “historical approach”, but the investigation of the Commedia and Vita Nova makes use of narratological concepts as well. Monaco sets out to identify and interpret the reflections on memory present in Dante’s work.
The well-documented and systematized study comprises a lot of new information about the poet, politician, and exile Dante Alighieri
The present contribution provides an analysis of Dirk Oschmann’s volume, Freiheit und Fremdheit. Kafkas Romane [Freedom and Foreignness. Kafka’s novels]. The main idea, already announced in the title, is followed throughout the entire volume. A corpus of texts consisting of Kafka’s three novels and some of his best short stories is analyzed (Die Verwandlung, Bericht für eine Akademie, and In der Strafkolonie). The selected texts are considered stories of internal or external displacement that address and depict freedom and foreignness mostly using spatial displacement. The method used is close reading, the author carefully interprets text passages, goes into details, nuances of meaning, and linguistic features of the Kafkaesque texts. The analysis draws on syntagms and statements made by characters who discuss these themes.