In this paper, we present the final version of a publicly available treebank of Finnish, the Turku Dependency Treebank. The treebank contains 204,399 tokens (15,126 sentences) from 10 different text sources and has been manually annotated in a Finnishspecific version of the well-known Stanford Dependency scheme. The morphological analyses of the treebank have been assigned using a novel machine learning method to disambiguate readings given by an existing tool. As the second main contribution, we present the first open source Finnish dependency parser, trained on the newly introduced treebank. The parser achieves a labeled attachment score of 81 %. The treebank data as well as the parsing pipeline are available under an open license at

SUMMARY Samples from 34 patients were studied both histologically and immunocytochemically by the indirect biotin-avidin peroxidase technique to analyse the distribution of the extracellular matrix components (type IV collagen, fibronectin, types I and III collagens) in dissection of the aorta. Most showed defects in type IV collagen around medial smooth muscle cells. Defects in smooth muscle cell basement membrane were found throughout the media in cystic medial degeneration and in medionecrosis, whereas in atherosclerosis such unlabelled areas were found only above advanced atherosclerotic plaques. In aortitis other defects in the smooth muscle cell basement membrane were found in areas of inflammatory infiltrates. In all of these conditions similar defects in fibronectin expression were also found. No defects in the expression of interstitial collagens type I and III were seen in the dissecting aortas. Moreover, cystic medial degeneration, medionecrosis, and atherosclerosis were characterised by intense staining of these interstitial matrix components. In the pathogenesis of the aortic dissection local changes in the basement membranes of the medial layer may be important.Aortic dissection is the most common and often lethal catastrophy that occurs in the aorta.' Controversy surrounds its pathogenesis. 1 2 Recent studies emphasised the role of haemodynamic factors, especially hypertension, in its pathogenesis.26 Some connective tissue and metabolic diseases, however, increase the risk of aortic dissection at an early age.' [7][8][9]

The efficacy of antibiotic prophylaxis in cardiac surgery was compared between 97 patients receiving a single 2 g dosage of ceftriaxone and 103 receiving 500 mg of vancomycin i.v. every 6 h for 48 h. The overall infection rate was 13.4% in the ceftriaxone and 10.7% in the vancomycin group. Four (4%) wound infections, including one mediastinitis, occurred in the ceftriaxone group and five (5%) in the vancomycin group, with no statistically significant difference. The findings of this study support the adequacy of a simple single dose of ceftriaxone prophylaxis in cardiac surgery, at least in hospitals with low incidence of vancomycin-resistant staphylococcal infections.

We present the Finnish PropBank, a resource for semantic role labeling (SRL) of Finnish based on the Turku Dependency Treebank whose syntax is annotated in the well-known Stanford Dependency (SD) scheme. The contribution of this paper consists of the lexicon of the verbs and their arguments present in the treebank, as well as the predicate-argument annotation of all verb occurrences in the treebank text. We demonstrate that the annotation is of high quality, that the SD scheme is highly compatible with PropBank annotation, and further that the additional dependencies present in the Turku Dependency Treebank are clearly beneficial for PropBank annotation. Further, we also use the PropBank to provide a strong baseline for automated Finnish & Filip Ginter

No abstract