Teatro Alfonsetti [Material gráfico]: dará tres funciones los días 9, 10 y 11

Representaciones: El infierno ; La tonta del bote ; CancioneraCopia digital. Valladolid : Junta de Castilla y León. Consejería de Cultura y Turismo, 2012-201

A scalable saliency-based Feature selection method with instance level information

Classic feature selection techniques remove those features that are either irrelevant or redundant, achieving a subset of relevant features that help to provide a better knowledge extraction. This allows the creation of compact models that are easier to interpret. Most of these techniques work over the whole dataset, but they are unable to provide the user with successful information when only instance information is needed. In short, given any example, classic feature selection algorithms do not give any information about which the most relevant information is, regarding this sample. This work aims to overcome this handicap by developing a novel feature selection method, called Saliency-based Feature Selection (SFS), based in deep-learning saliency techniques. Our experimental results will prove that this algorithm can be successfully used not only in Neural Networks, but also under any given architecture trained by using Gradient Descent techniques

Study of the Migratory Return: Analysis to the Condition of the Returned Migrant in the Educational and Labor Reintegration and the Entrepreneurship as an Area of Opportunity

Studies on the educational and labor reintegration of migrants returned to Latin American countries have gained importance due to the economic and social implications of rehabilitation. In this article, the return of the migrant was considered part of the migration process. An exploratory research of publications in different international journals was carried out; when consulting the referenced articles, it was identified that at the time of return the migrant presents and perceives a moral, social, educational and work imbalance. From the deficiencies found in the theoretical lines studied - Educational reinsertion, Labor reintegration - the third theoretical line was included the importance of relating the concept of entrepreneurship as an area of opportunity for returned migrants. The results of the analysis of the studies and theoretical frameworks of international migration, showed great similarities of the phenomenon in different geographical spaces, being an indispensable tool to understand their different forms, evolution and development both in the countries of origin and destination

Teatro Alfonsetti [Material gráfico]: Compañía Cómico-Dramática Alejo Casal : acontecimiento teatral hoy sábado 13 de junio de 1925

Representaciones: El orgullo de AlbaceteCopia digital. Valladolid : Junta de Castilla y León. Consejería de Cultura y Turismo, 2012-201

Adaptation of single-family houses to the nZEB objective in cool-temperate climates of Spain. Optimisation of the energy demand and the thermal comfort by full-scale measurements and simulation assessments with an insight into the global warming scenarios

394 p.Se han analizado las características energéticas de las viviendas unifamiliares de consumo de energía casinulo (nZEB) construidas en España. La primera parte analiza los resultados de monitorizar durante 14meses el funcionamiento real de una vivienda pasiva en uso. El consumo de calefacción fue muy reducido,de 17,6 kWh/m². Se analizaron el confort térmico y el comportamiento de la envolvente térmica, midiendolas pérdidas de calor por la envolvente y la ventilación. Se analizó el confort térmico de la casa en veranocon diversos métodos y se comprobó que no existe sobrecalentamiento, gracias a la ventilación naturalempleada. La segunda parte compara los potenciales de mejora en invierno con cambios en la calefacción,y en verano mediante refrescamiento por ventilación y sombreamiento. Se calibró un modelo de simulacióndel rendimiento energético del edificio (BEPS) ajustado mediante los valores mensuales de la casamonitorizada. La ventilación mecánica con bypass de verano al caudal máximo es insuficiente para enfriarlo suficiente y mantener el confort térmico. Los sombreamientos ligeros exteriores para edificios existentestambién son insuficientes por sí solos. Es necesario aplicar ventilación natural para mantener los umbralesde confort interior. La tercera parte estudia la adaptación de las viviendas nZEB a los climas frescotempladosde España (se consideran las zonas C1, D1, D2, D3, E1 del CTE) a través de unos casosunifamiliares tipo. Se recomiendan niveles de aislamiento en la envolvente entre 10 cm y 20 cm según lazona climática, forma y orientación de cada caso. Se estudió la capacidad de adaptación con ventilación(VMC-RC y natural) y sombreamientos convencionales. Los resultados indican que es posible conseguirun confort térmico óptimo en verano e invierno aplicando las medidas adecuadas de refrescamiento pasivo,sin refrigeración activa en todas las zonas climáticas. Las simulaciones con climas futuros indican subidasde las temperaturas interiores entre 1-2 °C para 2040 y entre 2-5 °C para 2080. Se recomienda que losdiseños actuales verifiquen el sobrecalentamiento en los escenarios futuros, para mantener en el futuro elconfort térmico en las viviendas unifamiliares de las zonas climáticas estudiadas

Distributed Correlation-Based Feature Selection in Spark

CFS (Correlation-Based Feature Selection) is an FS algorithm that has been successfully applied to classification problems in many domains. We describe Distributed CFS (DiCFS) as a completely redesigned, scalable, parallel and distributed version of the CFS algorithm, capable of dealing with the large volumes of data typical of big data applications. Two versions of the algorithm were implemented and compared using the Apache Spark cluster computing model, currently gaining popularity due to its much faster processing times than Hadoop's MapReduce model. We tested our algorithms on four publicly available datasets, each consisting of a large number of instances and two also consisting of a large number of features. The results show that our algorithms were superior in terms of both time-efficiency and scalability. In leveraging a computer cluster, they were able to handle larger datasets than the non-distributed WEKA version while maintaining the quality of the results, i.e., exactly the same features were returned by our algorithms when compared to the original algorithm available in WEKA.Comment: 25 pages, 5 figure

Design, synthesis and activation of ruthenium arene anticancer complexes

The synthesis and characterisation of RuII complexes of the form [(η6-arene)Ru(N,N')X]+ (where N,N' is a bidentate chelating ligand and X is a halogen) are described; including the X-ray crystal structures of four of these complexes. The hydrolysis rates at 310 K of the complexes vary over many orders of magnitude and in some cases are followed by partial arene loss. Density Functional Theory (DFT) calculations suggest that the aquation mechanism occurs via a more associative pathway. The significant cytotoxic activity towards A2780 human ovarian cancer cells of some of the complexes is found to be dependent on the chelating ligand. Selective binding to 9-ethylguanine (9-EtG) but not to 9- ethyladenine (9-EtA) is observed in aqueous solution at 310 K in all cases. The X-ray crystal structure of a RuII arene 9-EtG adduct is also described. DFT calculations show that the 9- EtG nucleobase adducts of all complexes are thermodynamically preferred compared to those of 9-EtA. Preliminary CT-DNA studies in cell-free media suggest that some of these complexes can interact with DNA. A family of piano-stool RuII arene complexes of the form [(η6-arene)Ru(N,N')(L)]2+ (where N,N' is a chelating ligand and L is a pyridine or a pyridine-derivative), that can selectively photodissociate the monodentate ligand (L) when excited with UVA or visible light is described. The X-ray crystal structures of five of these complexes are also discussed. Their photoactivation allows the formation of a reactive aqua species that otherwise would not form in the dark. Results from TD-DFT calculations suggest that all the RuII pyridine complexes follow a relatively similar L-ligand photodissociation mechanism, likely to occur from a series of 3MC triplet states. It is shown how light activation can be used to phototrigger binding of these complexes to nucleobases with specific preference towards 9- EtG over 9-EtA. CT-DNA studies suggest that photoirradiated complexes interact with DNA via a combined coordinative, intercalative, and monofunctional binding mode. Some of the complexes are also cytotoxic against A2780 human ovarian cancer cell line in the absence of irradiation. The possibility of photo(triggering) hydride-transfer reactions using RuII arene complexes, NAD+, and formate as the hydride source under biologically relevant conditions is shown. The reactions occur either upon the spontaneous hydrolysis of a Ru–Cl bond in complexes of the form [(η6-arene)Ru(N,N')Cl]+ (where N,N' is a bidentate chelating ligand) or upon the photolysis of a Ru–N(Py) bond in [(η6-arene)Ru(N,N')Py]2+ (Py is pyridine). A mechanism involving the formation of a stable formate adduct followed by a hydrogen β- elimination is proposed. It is also demonstrated how a hydride-transfer from 1,4-NADH to some RuII arene chlorido complexes can occur in aqueous solution. Neutral RuII arene complexes of the form [(η6-arene)Ru(NH3)Cl2] which are constitutional analogues of cisplatin were synthesised by a novel synthetic method. These analogues display extensive H-bond interactions in the solid state as shown by X-ray crystal structures determination and their biexponential hydrolysis rates at 310 K vary over many orders of magnitude. The complexes are found to readily form mono- and di-guanine adducts upon hydrolysis but are not cytotoxic against the A2780 human ovarian cancer cell line up to the maximum concentration tested (100 μM)

Wavefront Marching Methods: A Unified Algorithm to Solve Eikonal and Static Hamilton-Jacobi Equations

© 2020 IEEE. This version of the article has been accepted for publication, after peer review. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The Version of Record is available online at: https://doi.org/10.1109/TPAMI.2020.2993500[Abstract]: This paper presents a unified propagation method for dealing with both the classic Eikonal equation, where the motion direction does not affect the propagation, and the more general static Hamilton-Jacobi equations, where it does. While classic Fast Marching Method (FMM) techniques achieve the solution to the Eikonal equation with a O(M log M) (or O(M) assuming some modifications), solving the more general static Hamilton-Jacobi equation requires a higher complexity. The proposed framework maintains the O(M log M) complexity for both problems, while achieving higher accuracy than available state-of-the-art. The key idea behind the proposed method is the creation of ‘mini wave-fronts’, where the solution is interpolated to minimize the discretization error. Experimental results show how our algorithm can outperform the state-of-the-art both in precision and computational cost.The authors would like to thank to the financial support of the Spanish Ministerio de Economıa y Competitividad (research project TIN2015-65069-C2-1-R), the Xunta de Galicia (research projects ED431C 2018/34 and Centro Singular de Investigacion de Galicia, accreditation 2016-2019) and by the European Union (European Regional Development Fund). Brais Cancela acknowledges the support of the Xunta de Galicia under its postdoctoral program.Xunta de Galicia; ED431C 2018/3

Ensembles for feature selection: A review and future trends

© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/. This version of the article: Bolón-Canedo, V. and Alonso-Betanzos, A. (2019) ‘Ensembles for Feature Selection: A Review and Future Trends’ has been accepted for publication in: Information Fusion, 52, pp. 1–12. The Version of Record is available online at https://doi.org/10.1016/j.inffus.2018.11.008.[Abstract]: Ensemble learning is a prolific field in Machine Learning since it is based on the assumption that combining the output of multiple models is better than using a single model, and it usually provides good results. Normally, it has been commonly employed for classification, but it can be used to improve other disciplines such as feature selection. Feature selection consists of selecting the relevant features for a problem and discard those irrelevant or redundant, with the main goal of improving classification accuracy. In this work, we provide the reader with the basic concepts necessary to build an ensemble for feature selection, as well as reviewing the up-to-date advances and commenting on the future trends that are still to be faced.This research has been financially supported in part by the Spanish Ministerio de Economa y Competitividad (research project TIN 2015-65069-C2-1-R), by the Xunta de Galicia (research projects GRC2014/035 and the Centro Singular de Investigación de Galicia, accreditation 2016–2019, Ref. ED431G/01) and by the European Union (FEDER/ERDF).Xunta de Galicia; GRC2014/035Xunta de Galicia; ED431G/0