Elimination for generic sparse polynomial systems

We present a new probabilistic symbolic algorithm that, given a variety defined in an n-dimensional affine space by a generic sparse system with fixed supports, computes the Zariski closure of its projection to an l-dimensional coordinate affine space with l < n. The complexity of the algorithm depends polynomially on combinatorial invariants associated to the supports.Comment: 22 page

Influencia de la histéresis corneal en la tonometría de rebote icare en córneas extremas en pacientes con glaucoma o hipertensión ocular

La presión intraocular (PIO), es el principal factor de riesgo modificable para el desarrollo y progresión de glaucoma de ángulo abierto3,4,9. Aunque el tonóme-tro por aplanación o tonómetro de Goldmann (TAG), sigue siendo el tonómetro de referencia para la medición de la PIO5,6, presenta numerosos inconvenien-tes, por lo que en los últimos años se están desarrollando nuevos métodos de medición de la PIO, como el tonómetro ICARE, el tonómetro de contorno diná-mico o de Pascal, o el Analizador de Respuesta Ocular, ORA.Máster en Subespecialidades Oftalmológica

Annotation Issues in Pharmacological Texts

This works is at: 5th International Conference on Corpus Linguistics (CILC2013), took place 2013, March 14-16, in Alicante (Spain). Conference web site: http://web.ua.es/en/cilc2013/Natural language processing of pharmacological texts includes recognition of drug names and extraction of relationships between them. To this purpose, pharmacological annotated corpora are required. These corpora are usually semantically annotated by domain experts. However, other linguistic aspects should be considered to ensure the quality and consistency of the annotation. This paper introduces several linguistic phenomena affecting the annotation of both drug named entities and drug-drug interaction relationships that arose during the annotation process of the DDI corpus. The detailed documentation of these issues and the decisions on them will improve the quality of the annotated corpus and its usefulness for other researchers or usersThis work was supported by the Regional Government of Madrid under the Research Network MA2VICMR [S2009/TIC-1542] and by the Spanish Ministry of Economy under the project MULTIMEDICA [TIN2010-20644- C03-01].Publicad

An Ontology for formal representation of Drug Drug Interaction Knowledge

The poster at: The Sixth International Biocuration Conference (Biocuration 2013), took at April 7–10, 2013 in Churchill College, Cambridge, UK. The event web site in: http://www.ebi.ac.uk/biocuration2013/content/homeOntologies are useful tools in text miming reserach tasks as a source of specialized vocabulary of terms and relationships in a given domain. Furthermore, formal knowledge representation propvieded by ontologies can be applied for new knowledge inference, wich can be exploited for biomedical research purposes. Drug-drug interactions (DDIs) are common adverse drug ractions having an important impact on patient safety and healthcare cost.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].Publicad

SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)

Proceedings of: International Workshop on Semantic Evaluation. SemEval-2013 : Semantic Evaluation Exercises. Took place in 2013 June, 14-15, in Atlanta, Georgia (USA). The event Web site in http://www.cs.york.ac.uk/semeval-2013/The DDIExtraction 2013 task concerns the recognition of drugs and extraction of drugdrug interactions that appear in biomedical literature. We propose two subtasks for the DDIExtraction 2013 Shared Task challenge: 1) the recognition and classification of drug names and 2) the extraction and classification of their interactions. Both subtasks have been very successful in participation and results. There were 14 teams who submitted a total of 38 runs. The best result reported for the first subtask was F1 of 71.5% and 65.1% for the second one.This research work 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).Publicad

The DDI corpus: An annotated corpus with pharmacological substances and drug-drug interactions

The management of drug-drug interactions (DDIs) is a critical issue resulting from the overwhelming amount of information available on them. Natural Language Processing (NLP) techniques can provide an interesting way to reduce the time spent by healthcare professionals on reviewing biomedical literature. However, NLP techniques rely mostly on the availability of the annotated corpora. While there are several annotated corpora with biological entities and their relationships, there is a lack of corpora annotated with pharmacological substances and DDIs. Moreover, other works in this field have focused in pharmacokinetic (PK) DDIs only, but not in pharmacodynamic (PD) DDIs. To address this problem, we have created a manually annotated corpus consisting of 792 texts selected from the DrugBank database and other 233 Medline abstracts. This fined-grained corpus has been annotated with a total of 18,502 pharmacological substances and 5028 DDIs, including both PK as well as PD interactions. The quality and consistency of the annotation process has been ensured through the creation of annotation guidelines and has been evaluated by the measurement of the inter-annotator agreement between two annotators. The agreement was almost perfect (Kappa up to 0.96 and generally over 0.80), except for the DDIs in the MedLine database (0.55-0.72). The DDI corpus has been used in the SemEvaI 2013 DDIExtraction challenge as a gold standard for the evaluation of information extraction techniques applied to the recognition of pharmacological substances and the detection of DDIs from biomedical texts. DDIExtraction 2013 has attracted wide attention with a total of 14 teams from 7 different countries. For the task of recognition and classification of pharmacological names, the best system achieved an F1 of 71.5%, while, for the detection and classification of DDIs, the best result was F1 of 65.1%.Funding: This work was supported by the EU project TrendMiner [FP7-ICT287863], by the project MULTIMEDICA [TIN2010- 20644-C03-01], and by the Research Network MA2VICMR [S2009/TIC-1542].Publicad

Intersections between TikTok and TV: Channels and programmes thinking outside the box

The rise of the TikTok social network has caused the media to confront the younger generation. The platform, which hosts dances, challenges, and funny short videos, has unique features that force a reinvention of social networking strategies. Television has become social and has expanded to new platforms, while young people are abandoning the consumption of traditional television. In this study, we explore—for the first time—the presence of television channels and programmes on TikTok and an analysis of the main strategies shown in the 133 found profiles. The results describe a first exploratory phase that lacks specific strategies in most cases, while examples adapted to the logic of the social network emerge: content with a fun and simple tone, with participation in challenges and trends of the moment, as well as a positioning of the brand to—gradually—approach its future potential audiencesThis research has been developed within the research project “Digital Native Media in Spain: Storytelling Formats and Mobile Strategy” (RTI2018–093346-B-C33), funded by the Ministry of Science, Innovation and Universities (Government of Spain) and the ERDF structural fundS

Evolución de la mortalidad en un servicio de enfermedades infecciosas a lo largo de una década (2008-2017).

Estudio observacional y retrospectivo en el Área Sanitaria III de Zaragoza cuyo Hospital de referencia es el Clínico Universitario Lozano Blesa. Se revisaron todos los exitus del Servicio de Enfermedades Infecciosas desde el 1 de enero de 2008 hasta el 31 de diciembre de 2017 En los diez años del estudio hubo 154 fallecimientos sobre un total de 3660 ingresos, 103 hombres (67%) y 51 mujeres (33%). El 27 % de los fallecidos 27 varones y 14 mujeres era VIH +. El porcentaje de mortalidad anual fue de un 4%. La edad media de los éxitus VIH- fue de 76 años. La edad media de los éxitus VIH + fue de 50 años. Las principales causas de muerte en el grupo VIH- fueron las infecciones respiratorias seguidas de la sepsis. Las causas de muerte en el grupo VIH+ fueron infecciones indicativas de SIDA. El porcentaje de mortalidad anual se mantiene estable y similar a los registros nacionales<br /

Estudio de la activación con oxígeno del char de lodos de EDAR en un reactor de lecho fluidizado

La digestión anaerobia aparece como una tecnología para el tratamiento de los lodos generados en estaciones depuradoras (EDAR). En el proceso se obtienen dos corrientes, una fracción líquida digerida (FLD) con alta concentración de amonio, la cual debe reducirse antes de su retorno a la cabecera de la EDAR, y una fracción sólida digerida (FSD). En este trabajo se plantea mejorar las propiedades adsorbentes del producto sólido (char) obtenido en la pirólisis de la FSD mediante su activación con oxígeno, con el fin de que pueda ser utilizado para el tratamiento de la FLD. La retención de amonio se favorece con la presencia de grupos oxigenados en la superficie del char. En este TFG se va a estudiar la etapa de activación con oxígeno del char de pirolisis de lodo mediante la que se pretende incrementar la presencia de grupos oxigenados del char mejorando así sus propiedades adsorbentes para disminuir la concentración de NH4+ en la FLD