Siguiendo legislación en España, en televisión se deben alcanzar unas cuotas en el servicio de subtitulado para personas sordas, además, los subtítulos deben elaborarse siguiendo normativa. Este marco regulador conlleva una demanda de tecnología que facilite a los radiodifusores y productores de contenido la generación de subtitulado, como es la generación automática de subtitulado a partir de reconocimiento de audio. En este trabajo se presenta "SAGAS, Sistema Avanzado de Generación Automática de Subtítulos", que proporciona subtítulos adecuados a la norma española para contenido vídeo que vaya acompañado de un guión o transcripción. ; Following legislation in Spain specific TV quotas must achieved in Subtitling Service for deaf people and additionally subtitles should be developed according to regulations. This regulatory framework implies a technology demand to facilitate broadcasters and content producers to generate subtitling, like automatic subtitling from Automatic Speech Recognition (ASR). This paper introduces "SAGAS prototype (Advanced System for automatic generation of subtitles)" which provides subtitles according to Spanish standard from an audio and a transcript.
The study was funded by the Spanish Ministerio de Ciencia e Innovacion/Agencia Estatal de Investigacion, grants AGL2017-82452-C2-1R (A.B.) and AGL2017-82452-C2-2R (M.J.A) both from the, MCIN/AEI/10.13039/501100011033, the European Union (H2020 SFS-28-2020), contract number 101000716 (HARNESSTOM), and FEDER "Una manera de hacer Europa". J.E. was supported by a JAE Intro-CSIC grant, JAEINT_19_00566. ; Salt tolerance is a target trait in plant science and tomato breeding programs. Wild tomato accessions have been often explored for this purpose. Since shoot Na+/K+ is a key component of salt tolerance, RNAi-mediated knockdown isogenic lines obtained for Solanum galapagense alleles encoding both class I Na+ transporters HKT1;1 and HKT1;2 were used to investigate the silencing effects on the Na and K contents of the xylem sap, and source and sink organs of the scion, and their contribution to salt tolerance in all 16 rootstock/scion combinations of non-silenced and silenced lines, under two salinity treatments. The results show that SgHKT1;1 is operating differently from SgHKT1;2 regarding Na circulation in the tomato vascular system under salinity. A model was built to show that using silenced SgHKT1;1 line as rootstock would improve salt tolerance and fruit quality of varieties carrying the wild type SgHKT1;2 allele. Moreover, this increasing effect on both yield and fruit soluble solids content of silencing SgHKT1;1 could explain that a low expressing HKT1;1 variant was fixed in S. lycopersicum during domestication, and the paradox of increasing agronomic salt tolerance through silencing the HKT1;1 allele from S. galapagense, a salt adapted species. ; Spanish Ministerio de Ciencia e Innovacion/Agencia Estatal de Investigacion AGL2017-82452-C2-1R AGL2017-82452-C2-2R MCIN/AEI/10.13039/501100011033 ; European Commission 101000716 ; FEDER "Una manera de hacer Europa" JAEINT_19_00566
Named Entity Recognition and Classification (NERC) is an important component of applications like Opinion Tracking, Information Extraction, or Question Answering. When these applications require to work in several languages, NERC becomes a bottleneck because its development requires language-specific tools and resources like lists of names or annotated corpora. This paper presents a lightly supervised system that acquires lists of names and linguistic patterns from large raw text collections in western languages and starting with only a few seeds per class selected by a human expert. Experiments have been carried out with English and Spanish news collections and with the Spanish Wikipedia. Evaluation of NE classification on standard datasets shows that NE lists achieve high precision and reveals that contextual patterns increase recall significantly. Therefore, it would be helpful for applications where annotated NERC data are not available such as those that have to deal with several western languages or information from different domains. ; This researchwork has been supported by the Regional Government of Madrid under the Research Network MA2VICMR (S2009/TIC-1542), by the Spanish Ministry of Education under the project MULTIMEDICA (TIN2010-20644-C03-01) and by the Spanish Center for Industry Technological Development (CDTI, Ministry of Industry, Tourism and Trade), through the BUSCAMEDIA Project (CEN-20091026).
Proceedings of: The 6th International Workshop on Semantic Web Applications and Tools for Life Sciences (SWAT4LS 2013). Took place 2013, December 11-12, in Edinburgh, UK. The evnt Web site http://www.swat4ls.org/workshops/edinburgh2013/ ; Drug-drug interactions form a significant risk group for adverse effects associ-ated with pharmaceutical treatment. These interactions are often reported in the literature, however, they are sparsely represented in machine-readable re-sources, such as online databases, thesauri or ontologies. These knowledge sources play a pivotal role in Natural Language Processing (NLP) systems since they provide a knowledge representation about the world or a particular do-main. While ontologies for drugs and their effects have proliferated in recent years, there is no ontology capable of describing and categorizing drug-drug in-teractions. Moreover, there is no artifact that represents all the possible mecha-nisms that can lead to a DDI. To fill this gap we propose DINTO, an ontology for drug-drug interactions and their mechanisms. In this paper we describe the classes, relationships and overall structure of DINTO. The ontology is free for use and available at https://code.google.com/p/dinto/ ; This work was supported by the Regional Government of Madrid under the Research Network MA2VICMR [S2009/TIC-1542], by the Spanish Ministry of Education under the project MULTIMEDICA [TIN2010-20644-C03-01] and by the European Commission Seventh Framework Programme under the project TrendMiner_Enlarged (EU FP7-ICT 612336). ; Publicado
Pharmaceutical manufacturers need to analyse a vast number of products in their daily activities. Many times, the same product can be registered several times by different systems using different attributes, and these companies require accurate and quality information regarding their products since these products are drugs. The central hypothesis of this research work is that machine learning can be applied to this domain to efficiently merge different data sources and match the records related to the same product. No human is able to do this in a reasonable way because the number of records to be matched is extremely high. This article presents a framework for pharmaceutical record matching based on machine learning techniques in a big data environment. The proposed framework aims to explode the well-known rules for the matching of records from different databases for training machine learning models. Then the trained models are evaluated by predicting matches with records that do not follow these known rules. Finally, the production environment is simulated by generating a huge amount of combinations of records and predicting the matches. The obtained results show that, despite the good results obtained with the training datasets, in the production environment, the average accuracy of the best model is around 85%. That shows that matches which do not follow the known rules can be predicted and, considering that there is not a human way to process this amount of data, the results are promising. ; This work was supported by the Research Program of the Ministry of Economy and competitiveness, Government of Spain, through the DeepEMR Project, under Grant TIN2017-87548-C2-1-R
Angiogenesis, a process which allows the formation of new vessels from pre-existing ones, is an essential phenomenon for tumor survival since it allows cancer cells to obtain nutrients and oxygen. This explains the increasing interest showed by many groups of research and pharmaceutical companies to find compounds with potential to disrupt at least one of the steps within the angiogenic process. Hydroxytyrosol (3,4-dihydroxyphenyl ethanol) has been identified as the most important health-related phenolic compound of virgin olive oil because of its pleiotropic effects on multiple targets. In 2012, our group identified hydroxytyrosol as an anti-angiogenic compound able to inhibit several key steps in the angiogenic process. In the present study, the potential effects of six hydroxytyrosol derivatives are tested and compared with those exhibited by hydroxytyrosol by making use of several in vitro and in vivo assays. Results indicate that these are candidate new anti-angiogenic compounds with potential utility in anti-tumor and anti-angiogenic therapies. ; Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech [Our experimental work is supported by grants BIO2014-56092-R (MINECO and FEDER) and P12-CTS-1507 (Andalusian Government and FEDER) and funds from group BIO-267 (Andalusian Government). The "CIBER de Enfermedades Raras" is an initiative from the ISCIII (Spain)]. This communication has the support of a travel grant.
This study was supported by grants from the Instituto de Salud Carlos III (PI19/01255 to J.C.d.V. and P.L.-F., PI19/00560 to J.M.G.P. and CIBERONC CB16/12/00390 to J.P.R.), the Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Ayudas a Grupos PCTI Principado de Asturias (IDI2018/155 to J.P.R.), Fundación Bancaria Caja de Ahorros de Asturias-IUOPA and the FEDER Funding Program from the European Union.
Background and purpose: Activation of astrocytes contributes to synaptic remodelling, tissue repair and neuronal survival following traumatic brain injury (TBI). The mechanisms by which these cells interact to resident/infiltrated inflammatory cells to rewire neuronal networks and repair brain functions remain poorly understood. Here, we explored how TLR4-induced astrocyte activation modified synapses and cerebrovascular integrity following TBI. Experimental approach: To determine how functional astrocyte alterations induced by activation of TLR4 pathway in inflammatory cells regulate synapses and neurovascular integrity after TBI, we used pharmacology, genetic approaches, live calcium imaging, immunofluorescence, flow cytometry, blood-brain barrier (BBB) integrity assessment and molecular and behavioural methods. Key results: Shortly after a TBI, there is a recruitment of excitable and reactive astrocytes mediated by TLR4 pathway activation with detrimental effects on post-synaptic density-95 (PSD-95)/vesicular glutamate transporter 1 (VGLUT1) synaptic puncta, BBB integrity and neurological outcome. Pharmacological blockage of the TLR4 pathway with resatorvid (TAK-242) partially reversed many of the observed effects. Synapses and BBB recovery after resatorvid administration were not observed in IP3 R2-/- mice, indicating that effects of TLR4 inhibition depend on the subsequent astrocyte activation. In addition, TBI increased the astrocytic-protein thrombospondin-1 necessary to induce a synaptic recovery in a sub-acute phase. Conclusions and implications: Our data demonstrate that TLR4-mediated signalling, most probably through microglia and/or infiltrated monocyte-astrocyte communication, plays a crucial role in the TBI pathophysiology and that its inhibition prevents synaptic loss and BBB damage accelerating tissue recovery/repair, which might represent a therapeutic potential in CNS injuries and disorders. ; This work was supported by grants from the Instituto de Salud Carlos III (ISCIII) (Programa Miguel Servet II Grants CPII19/00005;PI16/00735; PI19/00082 to JE; and PI18/00357 to DC, partiallyfunded by FEDER - European Union 'Una manera de hacer Europa') and Fundación Mutua Madrileña to JE; European Union's Horizon2020 research and innovation programme under the H2020 MarieSkłodowska-Curie Actions grant agreement no. 794926 and StopFuga de Cerebros Roche Pharma to JMR; and Ministerio de Ciencia e Innovación RTI2018-094887-B-I00 and RYC-2016-20414 to MN andRYC2019-026870-I to JMR. DC, MCO, VVS and EFL are hired bySESCAM.
Instituto de Salud Carlos III (Spain), European Commission [PI19/01255, PI19/00560, CIBERONC CB16/12/00390]; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA); Ayudas a Grupos PCTI Principado de Asturias, Spain [IDI2018/155]; Fundación Bancaria Caja de Ahorros de Asturias-IUOPA; FEDER from the European Union
13 páginas, 1 figura, 2 tablas. ; The degree of development and operability of the indicators for the Marine Strategy Framework Directive (MSFD) using Descriptor 1 (D1) Biological Diversity was assessed. To this end, an overview of the relevance and degree of operability of the underlying parameters across 20 European countries was compiled by analysing national directives, legislation, regulations, and publicly available reports. Marked differences were found between countries in the degree of ecological relevance as well as in the degree of implementation and operability of the parameters chosen to indicate biological diversity. The best scoring EU countries were France, Germany, Greece and Spain, while the worst scoring countries were Italy and Slovenia. No country achieved maximum scores for the implementation of MSFD D1. The non-EU countries Norway and Turkey score as highly as the top-scoring EU countries. On the positive side, the chosen parameters for D1 indicators were generally identified as being an ecologically relevant reflection of Biological Diversity. On the negative side however, less than half of the chosen parameters are currently operational. It appears that at a pan-European level, no consistent and harmonized approach currently exists for the description and assessment of marine biological diversity. The implementation of the MSFD Descriptor 1 for Europe as a whole can therefore at best be marked as moderately successful. ; Meetings to prepare this paper were made possible by funding through COST Action ES1003 EMBOS on the Development and Implementation of a Pan-European Marine Biodiversity Observatory System. Carlos Castellanos Perez Bolde acknowledges MARES Grant FPA 2011–0016 under the Erasmus Mundus framework, Marlene Jahnke has been supported by a SZN PhD fellowship, and Joa˜o N. Franco by Portuguese PhD FCT grant SFRH/BD/84933/2012. ; Peer reviewed
