An Open and Social Spaced Repetition System for Language Learning

In the last decades big improvements have been done in the field of computer aided learning, based on improvements done in computer science and computer systems. Although the field has been always a bit lagged, without using the latest solutions, it has constantly gone forward taking profit of the innovations as they show up. As long as the train of the computer science does not stop (and it won’t at least in the near future) the systems that take profit of those improvements will not either, because we humans will always need to study; Sometimes for pleasure and some other many times out of need. Not all the attempts in the field of computer aided learning have been in the same direction. Most of them address one or some few of the problems that show while studying and don’t take into account solutions proposed for some other problems. The reasons for this can be varied. Sometimes the solutions simply are not compatible. Some other times, because the project is an investigation it’s interesting to isolate the problem. And, in commercial products, licenses and patents often prevent the new projects to use previous work. The world moved forward and this is an attempt to use some of the options offered by technology, mixing some old ideas with new ones.

Características antropométricas, condición física y velocidad de lanzamiento en balonmano de élite y amateur

166 p.

Bertso transformation with pattern-based sampling

This paper presents a method to generate new melodies, based on conserving the semiotic structure of a template piece. A pattern discovery algorithm is applied to a template piece to extract significant segments: those that are repeated and those that are transposed in the piece. Two strategies are combined to describe the semiotic coherence structure of the template piece: inter-segment coherence and intra-segment coherence. Once the structure is described it is used as a template for new musical content that is generated using a statistical model created from a corpus of bertso melodies and iteratively improved using a stochastic optimization method. Results show that the method presented here effectively describes a coherence structure of a piece by discovering repetition and transposition relations between segments, and also by representing the relations among notes within the segments. For bertso generation the method correctly conserves all intra and inter-segment coherence of the template, and the optimization method produces coherent generated melodies.

El cerebro como regulador del rendimiento en la capacidad de repetir sprints

[ES] Durante pruebas cíclicas de larga duración ha sido probada que las estrategias para gestionar la fatiga pueden ser un factor determinante. A pesar de ello, este mismo fenómeno no está del todo probado que pueda darse en esfuerzos máximos de corta duración. Es por eso, que el objetivo de este trabajo ha sido analizar si variando el grado de conocimiento de los atletas durante este tipo de pruebas puede darse alguna alteración en su rendimiento. METODO: Siete deportistas varones completaron durante tres diferentes días un mismo protocolo (8 repeticiones máximas de 30 metros con un minuto de recuperación) en el que se varió la información que se les deba. Así, el primer día se les señaló que realizarían 4 repeticiones, pero cuando finalizaron se les indicó que realizarían 4 más (Prueba decepción). El segundo día, no se les informó del número de repeticiones a realizar (Prueba Suspense) y se les mandó parar al realizar la octava. Y por último, el tercer día se les señaló que realizarían 8 repeticiones (Prueba Control). RESULTADOS: Diferencias significativas (p>0.05) se encontraron en los tiempos de las cuatro primeras repeticiones entre la Prueba Suspense y Prueba Decepción. CONCLUSIÓN: Los resultados muestran como en pruebas máximas de corta duración las estrategias de gestión de la fatiga se pueden dar de manera anticipatoria al número de repeticiones a realizar.

Early response to nanoparticles in the Arabidopsis transcriptome compromises plant defence and root-hair development through salicylic acid signalling

Background: The impact of nano-scaled materials on photosynthetic organisms needs to be evaluated. Plants represent the largest interface between the environment and biosphere, so understanding how nanoparticles affect them is especially relevant for environmental assessments. Nanotoxicology studies in plants allude to quantum size effects and other properties specific of the nano-stage to explain increased toxicity respect to bulk compounds. However, gene expression profiles after exposure to nanoparticles and other sources of environmental stress have not been compared and the impact on plant defence has not been analysed. Results: Arabidopsis plants were exposed to TiO2-nanoparticles, Ag-nanoparticles, and multi-walled carbon nanotubes as well as different sources of biotic (microbial pathogens) or abiotic (saline, drought, or wounding) stresses. Changes in gene expression profiles and plant phenotypic responses were evaluated. Transcriptome analysis shows similarity of expression patterns for all plants exposed to nanoparticles and a low impact on gene expression compared to other stress inducers. Nanoparticle exposure repressed transcriptional responses to microbial pathogens, resulting in increased bacterial colonization during an experimental infection. Inhibition of root hair development and transcriptional patterns characteristic of phosphate starvation response were also observed. The exogenous addition of salicylic acid prevented some nano-specific transcriptional and phenotypic effects, including the reduction in root hair formation and the colonization of distal leaves by bacteria. Conclusions: This study integrates the effect of nanoparticles on gene expression with plant responses to major sources of environmental stress and paves the way to remediate the impact of these potentially damaging compounds through hormonal priming.