Frédéric Sacher, MD; Vincent Probst, MD, PhD; Yoshito Iesaka, MD; Peggy Jacon, MD; Julien Laborderie, MD; Frédérique Mizon-Gérard, MD; Philippe Mabo, MD; Sylvain Reuter, MD; Dominique Lamaison, MD; Yoshihide Takahashi, MD; Mark D. O’Neill, MB, BCh, DPhil; Stéphane Garrigue, MD, PhD; Bertrand Pierre, MD; Pierre Jaïs, MD; Jean-Luc Pasquié, MD, PhD; Mélèze Hocini, MD; Michèle Salvador-Mazenq, MD; ...

Document clustering is very important in the field of text categorization. Genetic algorithm, which is an optimization based technique which can be applied for finding out the best cluster centres easily by computing fitness values of data points. While clustering around weighted prototype technique is especially helpful when proper pairwise similarities are available. This technique does not f...

Alex Willand,1 Matthias Gramzow,2 S. Alireza Ghasemi,1 Luigi Genovese,3 Thierry Deutsch,4 Karsten Reuter,2,5 and Stefan Goedecker1 1Department of Physics, Universität Basel, Klingelbergstr. 82, 4056 Basel, Switzerland 2Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, 14195 Berlin, Germany 3European Synchrotron Radiation Facility, 6 rue Horowitz, 38043 Grenoble, France 4INAC/SP2...

Metastatic bone disease is a serious clinical complication for the treatment of patients with advanced cancer, but few therapeutic options are currently available. Bisphosphonates are an established standard care for these patients, but new treatments are now emerging, including the use of monoclonal antibodies targeting the RANK ligand. In this issue of the BJP, Reuter et al. provide evidence ...

We study the quantum gravitational effects in spherically symmetric black hole spacetimes. The effective quantum spacetime felt by a point-like test mass is constructed by “renormalization group improving” the Schwarzschild metric. The key ingredient is the running Newton constant which is obtained from the exact evolution equation for the effective average action. The conformal structure of th...

Semantic Indexing based on Partial Least Squares (SIPLS) is an effective feature extraction method for text classification. SIPLS integrates the global category information Y with the document-class matrix X to create the latent semantic spaces. However, the global latent space may not be the optimal one for each class. To solve this problem, the Local SIPLS (LSIPLS) method is proposed which cr...

The Rockefeller University Press $30.00 J. Cell Biol. Vol. 207 No. 5 599–613 www.jcb.org/cgi/doi/10.1083/jcb.201405014 JCB 599 *M. Reuter and A. Zelensky contributed equally to this paper. Correspondence to Claire Wyman: [email protected] Abbreviations used in this paper: ACF, autocorrelation function; CDF, cumulative distribution function; DSB, double-strand break; E, embryonic day; ES, emb...

• Attraction effects are investigated in Hindi subject-verb and object-verb agreement. Three experiments exhibit agreement attraction effects. One experiment shows no There is indication that role, case or syntactic prominence directly impact computation. Agreement controllers one clause create another Hindi. Previous studies have demonstrated languages. It an open question whether such extend ...