The implementation of the boundary element method on a network of transputers

SIGLEAvailable from British Library Document Supply Centre-DSC:8717.570(HP-NOC-TR--241) / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Dry mechanosynthesis of nanocrystalline calcium deficient hydroxyapatite: Structural characterisation

Dry mechanosynthesis is an efficient technique to synthesise nanocrystalline calcium deficient hydroxyapatites (CDHA). The mechanisms underlying a mechanochemical reaction are different from those triggering a dissolution mediated process, and this can have an effect on the structural features of the product. In this work, a nanocrystalline CDHA with Ca/P molar ratio of 1.5 obtained by means of dry mechanosynthesis of calcium oxide and dicalcium phosphate dihydrate was analysed. Spectroscopic techniques confirmed the presence of hydrogen phosphate (HPO4 2−) groups and a non-apatitic environment of the phosphate ions and disordered hydroxyl groups due to the nanometric size of the crystals. Lattice parameters of mechanosynthesised CDHA showed a small increase in the a lattice parameter (9.4418(20)A˚ ) and a small decrease in the c lattice parameter (6.8745(17)A˚ ), in agreement with the values reported in the literature for precipitated CDHAs. A prolonged milling resulted in an increase of the crystallinity of the CDHA and its partial decomposition into -TCP by the loss of OH− and HPO4 2− groups

Claim Detection in Judgments of the EU Court of Justice

Mining arguments from text has recently become a hot topic in Artificial Intelligence. The legal domain offers an ideal scenario to apply novel techniques coming from machine learning and natural language processing, addressing this challenging task. Following recent approaches to argumentation mining in juridical documents, this paper presents two distinct contributions. The first one is a novel annotated corpus for argumentation mining in the legal domain, together with a set of annotation guidelines. The second one is the empirical evaluation of a recent machine learning method for claim detection in judgments. The method, which is based on Tree Kernels, has been applied to context-independent claim detection in other genres such as Wikipedia articles and essays. Here we show that this method also provides a useful instrument in the legal domain, especially when used in combination with domain-specific information

Argumentation and Artificial Intelligence

Online version of 2014 handbook chapte