Rubio de Francia's extrapolation theory: estimates for the distribution function

Let $T$ be an arbitrary operator bounded from $L^{p_0}(w)$ into $L^{p_0, \infty}(w)$ for every weight $w$ in the Muckenhoupt class $A_{p_0}$. It is proved in this article that the distribution function of $Tf$ with respect to any weight $u$ can be essentially majorized by the distribution function of $Mf$ with respect to $u$ (plus an integral term easy to control). As a consequence, well-known extrapolation results, including results in a multilinear setting, can be obtained with very simple proofs. New applications in extrapolation for two-weight problems and estimates on rearrangement invariant spaces are established too.Comment: 29 page

Spatial dimension changes in second hand housing prices in Alcalá de Henares and León (Spain)

The objective of this study is to show different recent trends (2001-2009) in second-hand housing prices in Spain and in different neighbourhoods in Alcala de Henares and León, both of which are cities with very diverse economic and demographic characteristics. The first is a city in the metropolitan area of Madrid, with high land prices. The increasing demand for housing in Alcala de Henares is a good alternative for households, in view of high prices in Madrid. The second is Léon, the capital of the province of León, which is undergoing a depopulation process. We will demonstrate that house price dynamics is a local phenomenon and national or regional level data conceal interesting differences within cities (districts and neighbourhoods). The latest rise and decline in housing prices is clearly visible on the outskirts and sometimes non-existent in the town centre area

An Approach for the Customized High-Dimensional Segmentation of Remote Sensing Hyperspectral Images

Abstract: This paper addresses three problems in the field of hyperspectral image segmentation: the fact that the way an image must be segmented is related to what the user requires and the application; the lack and cost of appropriately labeled reference images; and, finally, the information loss problem that arises in many algorithms when high dimensional images are projected onto lower dimensional spaces before starting the segmentation process. To address these issues, the Multi-Gradient based Cellular Automaton (MGCA) structure is proposed to segment multidimensional images without projecting them to lower dimensional spaces. The MGCA structure is coupled with an evolutionary algorithm (ECAS-II) in order to produce the transition rule sets required by MGCA segmenters. These sets are customized to specific segmentation needs as a function of a set of low dimensional training images in which the user expresses his segmentation requirements. Constructing high dimensional image segmenters from low dimensional training sets alleviates the problem of lack of labeled training images. These can be generated online based on a parametrization of the desired segmentation extracted from a set of examples. The strategy has been tested in experiments carried out using synthetic and real hyperspectral images, and it has been compared to state-of-the-art segmentation approaches over benchmark images in the area of remote sensing hyperspectral imaging.Ministerio de Economía y competitividad; TIN2015-63646-C5-1-RMinisterio de Economía y competitividad; RTI2018-101114-B-I00Xunta de Galicia: ED431C 2017/1

La red internet y las autopistas de la información

El crecimiento exponencial de la red Internet, que en 1995 supera los cinco millones de ordenadores conectados, influirá en el futuro inmediato en el desarrollo tecnológico, económico y social de nuestro entorno. En el ámbito del empleo y la creación de riqueza, la automatización y el uso generalizado de las redes telemáticas plantean un cambio estructural en los sistemas económicos que se empieza a entrever, y que sin duda aumentará el desfase en el desarrollo entre sociedades que sean capaces de absorber e incorporar las nuevas tecnologías, y los que pierdan las oportunidades que actualmente se están presentando

Motivación, estrategias de aprendizaje y rendimiento de los alumnos universitarios

Se ha aplicado un cuestionario de autoinforme para conocer la motivación y las estrategias de aprendizaje de un grupo de alumnos universitarios. Se calcularon los índices de correlación entre los factores del cuestionario y el rendimiento encontrándose correlaciones considerablemente altas (por encima de 0.40) entre los siguientes factores: motivación intrínseca-elaboración; valor de la tarea-elaboración; valor de la tarea-total estrategias; esfuerzo-concentración; esfuerzo-metacognición; metacognición-elaboración y metacognición-organización. La correlación más alta con el rendimiento es la de la puntuación total en estrategias de aprendizaje. Se delimitaron tres grupos de rendimiento (alto, medio y bajo) y se estudiaron las diferencias entre los grupos. En el apartado motivacional, se encontraron diferencias significativas solamente en dos de los seis factores: valor de la tarea y autoeficacia. En cuanto a las estrategias de aprendizaje, las mayores diferencias se producen en el factor concentración, le siguen los factores de metacognición, elaboración, esfuerzo y ayuda, siendo la organización el único factor respecto al que no se producen diferencias significativas entre los grupos. -------------------------------We administered a self-report instrument to assess motivation and use of learning strategies by a group of university students. We used correlational methods to examine the relation between test performance and each of the motivational and learning strategies scales. We found very high correlations (higher than .40) between the following factors: intrinsic motivation-elaboration, task value-elaboration, task value-learning strategies, effort-concentration, effort-metacognition, metacognition-elaboration and metacognition-organization. The strongest correlation with performance corresponded to the total punctuation in learning strategies. We also divided the students in three performance groups: high, medium and low achievement, and studied the differences between the groups using variance analyses. On the motivational section we only found significative differences between groups in two of the six factors: task value and self-efficacy For the learning strategies scales, the strongest differences between groups were found in the concentration scale, followed by metacognition, elaboration, effort and help-seeking, The only learning strategies scale where differences between groups were not significative was organization

Movements of a juvenile Crowned Eagle (Harpyhaliaetus coronatus) tracked by satellite telemetry in central Argentina

[Background] A juvenile Crowned Eagle was tagged at its nest with a satellite transmitter. The Crowned Eagle (Harpyhaliaetus coronatus) is one of the most unknown raptor species from the American continent. Their current distribution ranges from central Brazil to central Argentina, with a total population of 350–1500 individuals across this large area, being thus largely fragmented.[Results] During the three years of tracking the bird concentrated its movements in a range spanning for 12845 km2, but concentrating mainly in four smaller areas accounting for 3073 km2. The locations were recorded mainly over shrubland habitats (86.5%), whereas other habitats used were different types of mosaics that included cropland and natural vegetation (forest, shrubland or grassland) close to wetlands.[Conclusions] The home-range estimated for this individual during the whole period was 12845 km2 (according to 95% fixed kernel). However, the bird concentrated most of its movements in smaller areas (as defined above), that accounted for a total of 3073 km2 (50% fixed kernel). During these three years, most of the locations of the juvenile solitary Crowned Eagle were recorded over shrubland habitats (86.5% of the locations). Understanding in a more detailed way the juvenile ranging behaviour and habitat preferences would be of great importance for the conservation of the Crowned Eagle.Peer reviewe

Validación preliminar del CEAM II (Cuestionario de Estrategias de Aprendizaje y Motivación II)

En el presente trabajo se estudia la fiabilidad y validez de constructo de la traducción al castellano de un instrumento que mide la motivación y las estrategias de aprendizaje de los estudiantes: el MSLQ (Motivated Strategies for Learning Questionnaire). Por lo que se refiere a la motivación, los análisis factoriales exploratorios revelan que las seis dimensiones postuladas, motivación intrínseca, motivación extrínseca, valor de la tarea, creencias de control, creencias de autoeficacia y ansiedad, se reproducen con notable claridad. La fiabilidad de conjunto de la escala es alta (0.82) y la de cada una de las subescalas tiene valores que van de moderados a altos (0.48 a 0.86). Las estrategias de aprendizaje presentan una estructura diferente a la hipotetizada. En lugar de los nueve factores previstos, sólo se identifican claramente seis, cuyo contenido se corresponde en parte con el de los factores teóricos. Son los siguientes: elaboración, concentración, ayuda de otros, organización, esfuerzo y metacognición. La fiabilidad de conjunto alcanza un valor elevado (0.89) y la de cada una de las subescalas alcanza también valores considerables (entre 0.68 y 0.84)

Thrombospondin-1/CD47 interaction regulates Th17 and treg differentiation in psoriasis

Accumulating evidence on the role of Thrombospondin-1 (TSP-1) in the immune response has emerged during the last years. In spite of the importance of TSP-1 not only as anti-angiogenic factor but also as an immunomodulatory molecule, studies on the role of TSP-1 in psoriasis have been neglected. TSP-1 and CD47 expression were analyzed in skin samples from psoriasis patients and control subjects using RT-PCR and immunofluorescence. Expression of these molecules was also evaluated in peripheral blood CD4+ T cells, moDCs, and circulating primary DCs. The functional role of TSP-1/CD47 signaling axis in psoriasis was assessed in Th17 and Treg differentiation assays. Additionally, small interfering RNA assays specific to TSP-1 were performed in CD4+ T cells and monocyte derived DC to specifically evaluate the function of this protein. Lesional skin of psoriasis patients expressed lower TSP-1 and CD47 mRNA levels compared to non-lesional skin or skin from controls. Immunofluorescence staining revealed decreased expression of CD47 in CD45+ dermal cells from psoriasis samples compared to control subjects. Peripheral CD4+ T cells and circulating primary DCs from psoriasis also expressed lower levels of CD47 compared to controls. Although no significant differences were detected in TSP-1 expression in CD4+ T cells and moDCs between patients and controls, TSP-1 expression in psoriasis patients inversely correlated with disease activity evaluated by the Psoriasis Area and Index Activity. Furthermore, exogenous TSP-1 inhibited Th17 differentiation and stimulated the differentiation of CD4+ T cells toward Treg cells. Furthermore, RNA interference specific for TSP-1 confirmed the role of this molecule as a negative regulator of T cell activation. Because of the impact of TSP-1/CD47 signaling axis in Th17 and Treg differentiation, a dysregulated expression of these molecules in the immune cells from psoriasis patients may favor the exacerbated inflammatory response in this diseaseInstituto de Salud Carlos III (AES 2017): PI17/01972 to ED. Janssen; Spanish Ministry of Economy and Competitiveness (MINECO): Plan Nacional de Salud SAF2017-82886-R, Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV); Proyecto Integrado de Excelencia PIE13/00041, Instituto de Salud Carlos III to FS-M, Instituto de Salud Carlos III PI16/02166, Universidad Autónoma de Madrid-Banco Santander (grant 2017/EEUU/03), and Red Temática de Excelencia en Investigación en Hipoxia (SAF 2017-90794-REDT) to MJC. This research has been co-financed by Fondo Europeo de Desarrollo Regional (FEDER

Analysis of the relevance of a 3D virtual programme to detect drug use behaviors and bullyng

p. 20The psychometric data of a new computer science tool of three-dimensional simulation (3D) designed for the detection of risk of drug taking behaviours and bullying in adolescents is presented. In partic- ular, Mii School (the name of this new program), recreates 17 conflicting situations of drug use and bullying, where the participant must respond when they are immersed in different situations of risk. The computer program has shown good reliability properties (α=.802) and validity (showing a facto- rial structure composed of 8 factors that explain 57.26% of the total variance). The study is con- ducted on the basis of differently realised studies: One discusses the capacity and utility of the pro- gram as a tool of detection of behaviours of drug consumption and bullying in young people, as well as the potential applicability of this program in educative contextsS