Resultados de investigación

Clinical Trial; Journal Article; Research Support, Non-U.S. Gov't;, The prevalence of and risk factors for central nervous system recurrence in patients with acute promyelocytic leukemia are not well established and remain a controversial matter. Between 1996 and 2005, 739 patients with newly diagnosed acute promyelocytic leukemia enrolled in two consecutive trials (PETHEMA LPA96 and LPA99) received induction therapy with all-trans retinoic acid and idarubicin. Consolidation therapy comprised three courses of anthracycline monochemotherapy (LPA96), with all-trans retinoic acid and reinforced doses of idarubicin in patients with an intermediate or high risk of relapse (LPA99). Central nervous system prophylaxis was not given. Central nervous system relapse was documented in 11 patients. The 5-year cumulative incidence of central nervous system relapse was 1.7% (LPA96 3.2% and LPA99 1.2%; p=0.09). The cumulative incidence was 0%, 0.8%, and 5.5% in low-, intermediate-, and high-risk patients, respectively. Relapse risk score (p=0.0001) and the occurrence of central nervous system hemorrhage during induction (5-year cumulative incidence 18.7%, p=0.006) were independent risk factors for central nervous system relapse. This study shows a low incidence of central nervous system relapse in patients with acute promyelocytic leukemia following therapy with all-trans retinoic acid and anthracycline without specific central nervous system prophylaxis. Central nervous system relapse was significantly associated with high white blood cell counts and prior central nervous system hemorrhage, which emerged as independent prognostic factors., Si

The database consists of FIR images collected from a vehicle driven in outdoors urban scenarios. Images were acquired with an Indigo Omega imager, with a resolution of 164x129 pixels, a grey-level scale of 14 bits, and focal length of 318 pixels. The camera was mounted on the exterior of the vehicle, to avoid infrared filtering of the windshield. Recorded images were manually annotated, where each pedestrian is labelled as a bounding box. To prevent bias introduced by border artifacts their height is subsequently upscaled by 5%. The pedestrians appear in an up-right position., The dataset is divided in two: (i) Classification dataset: positives and randomly sampled negatives with a fixed height-width ratio of (1/2) and rescaled to 64x32 pixels, and (ii) Detection Dataset: Original positive and negative images with annotations., The classification Database is divided in a Train and a Test subset. The Train set contains 10208 positives and 43390 negatives, while the Test set contains 5944 positives and 22050 negatives. The annotated bounding boxes are resized to a constant aspect ratio (w/h) = 0.5 by changing their width appropriately. Any bounding box below 10 pixels in height is ignored. The remaining bounding boxes are resized to 64x32 pixels using bilinear interpolation. The negative samples were randomly selected from images not containing pedestrians.

Jornada sobre els valors humans en la gestió de les emergències, celebrada el 21 de novembre de 2013. Conté: E.R.I.E. Intervenció Psicosocial Creu Roja Catalunya / Jordi Martori; FDNY Facing Future Challenges with ICS / Ron Spadafora; El Procediment activació psicòleg a emergències / Ana María Pérez; Una Perspectiva policial: valors a la policia en accidents de trànsit / Joan Carles Carrascosa; Valors humans i bombers / Joan Carles Carrascosa., info:eu-repo/semantics/publishedVersion

The file espmalt-1.0.mco contains a single malt configuration for parsing Spanish text with MaltParser. The parser presupposes that the input is in CoNLL-X format and tagged with the part-of-speech tags of FreeLing tagger.

This package contains a partition of the Iula Spanish LSP Treebank into train and test sets to perform Machine Learning experiments. In that way the same partitions can be used by different researchers and their results can be directly compared. In this package we also deliver the Tibidabo Treebank (Marimon 2010) which contains a set of sentences extracted from Ancora corpus annotated in the same way than the Iula Treebank. Tibidabo Treebank is a very good test set for models trained with Iula Spanish LSP Treebank since the sentences that form it from a very different domain than those of the Iula Spanish LSP Treebank.

This is a domain-specific lexicon for English for environment (ENV) domain. This lexicon contain both, subcategorization frames for verbs and lexical semantic classes for nouns. This lexicon has been automatically created using PANACEA webservices using crawled data. The crawled data was obtained crawling web pages that were automatically detected to be in the English language and were automatically classified as relevant to the ENV domain. Data collection took place in the summer of 2011.

This is a domain-specific lexicon for English for labour (LAB) domain. This lexicon contain both, subcategorization frames for verbs and lexical semantic classes for nouns. This lexicon has been automatically created using PANACEA webservices using crawled data. The crawled data was obtained crawling web pages that were automatically detected to be in the English language and were automatically classified as relevant to the LAB domain. Data collection took place in the summer of 2011.

This file lists the High Confidence Drivers identified as part of the pan-cancer12 initiative, published in the paper Comprehensive identification of mutational cancer driver genes across 12 tumor types" Scientific Reports 3:2650, 2013, doi:10.1038/srep02650

Mutations, genes and pathways involved in tumorigenesis across 4,623 cancer genomes/exomes from 13 cancer sites. IntOGen-mutations identifies cancer drivers across tumor types. Nature Methods 10, 2013, doi:10.1038/nmeth.2642

This release contains annotated tonic frequencies of 257 audio recordings. The SymbTr-scores of the corresponding compositions performed in the audio recordings are also indicated.