224 research outputs found

    Active learning methodologies at the university classroom

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    [EN] This paper identifies a set of active learning methodologies, which have in common the consideration of the emotion as a key element for learning. Active learning methodologies are not only intended to awaken emotions but also taught with emotion (Sempere-Ripoll and Rodriguez-Villalobos, 2019). To this extent, different teaching methodologies are used that complement each other, leading to reinforce and consolidate learning. Accordingly, the main aim of this work is to review the different active learning methodologies that can be applied at the university classroom.The authors acknowledge the support from the Universitat Polit√®cnica de Val√®ncia (UPV) through the Projects of Innovation and Educational Improvement ¬ŅLa docencia inversa como metodolog√≠a soporte a metodolog√≠as activas de aprendizaje¬Ņ (PIME/21-22/263) and ¬ŅInnovaci√≥n y mejora educativa aplicada a los Objetivos de Desarrollo Sostenible en la ETSII¬Ņ (PIME/21-22/281).Andres, B.; Sempere-Ripoll, F.; Esteso, A.; Torre-Mart√≠nez, MRDL. (2022). Active learning methodologies at the university classroom. EDULEARN Proceedings (Internet). 2927-2935. https://doi.org/10.21125/edulearn.2022.07402927293

    Cost and energy efficient reconfigurable embedded platform using Spartan-6 FPGAs

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    Modern FPGAs with run-time reconfiguration allow the implementation of complex systems offering both the flexibility of software-based solutions combined with the performance of hardware. This combination of characteristics, together with the development of new specific methodologies, make feasible to reach new points of the system design space, and make embedded systems built on these platforms acquire more and more importance. However, the practical exploitation of this technique in fields that traditionally have relied on resource restricted embedded systems, is mainly limited by strict power consumption requirements, the cost and the high dependence of DPR techniques with the specific features of the device technology underneath. In this work, we tackle the previously reported problems, designing a reconfigurable platform based on the low-cost and low-power consuming Spartan-6 FPGA family. The full process to develop the platform will be detailed in the paper from scratch. In addition, the implementation of the reconfiguration mechanism, including two profiles, is reported. The first profile is a low-area and low-speed reconfiguration engine based mainly on software functions running on the embedded processor, while the other one is a hardware version of the same engine, implemented in the FPGA logic. This reconfiguration hardware block has been originally designed to the Virtex-5 family, and its porting process will be also described in this work, facing the interoperability problem among different families

    A novel FPGA-based evolvable hardware system based on multiple processing arrays

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    In this paper, an architecture based on a scalable and flexible set of Evolvable Processing arrays is presented. FPGA-native Dynamic Partial Reconfiguration (DPR) is used for evolution, which is done intrinsically, letting the system to adapt autonomously to variable run-time conditions, including the presence of transient and permanent faults. The architecture supports different modes of operation, namely: independent, parallel, cascaded or bypass mode. These modes of operation can be used during evolution time or during normal operation. The evolvability of the architecture is combined with fault-tolerance techniques, to enhance the platform with self-healing features, making it suitable for applications which require both high adaptability and reliability. Experimental results show that such a system may benefit from accelerated evolution times, increased performance and improved dependability, mainly by increasing fault tolerance for transient and permanent faults, as well as providing some fault identification possibilities. The evolvable HW array shown is tailored for window-based image processing applications

    Framework adaptable y reconfigurable dinámicamente para procesamiento de vídeo: aplicación a la etapa de filtrado adaptativo en sistemas de compresión de vídeo H.264/AVC y SVC

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    Los sistemas basados en componentes hardware con niveles de paralelismo est√°tico tienden a infrautilizar sus recursos l√≥gicos, ya que se dise√Īan para soportar el peor escenario posible. Este hecho se acent√ļa cuando se trabaja con los nuevos est√°ndares de compresi√≥n de v√≠deo, como son el H.264/AVC y el SVC. Estos necesitan soluciones flexibles, capaces de soportar distintos escenarios, y escalables a fin de maximizar la utilizaci√≥n de recursos en todo momento. Por ello, y como alternativa a las soluciones est√°ticas o multiprocesadoras, este art√≠culo presenta una arquitectura hardware escalable y reconfigurable din√°micamente para el filtrado de bucle adaptativo o Deblocking Filter. Su funcionamiento se basa en el de los arrays sist√≥licos, y su estrategia de paralelismo maximiza el n√ļmero de macrobloques que pueden ser procesos simult√°neamente

    Cannabinoid signaling modulation through JZL184 restores key phenotypes of a mouse model for Williams-Beuren syndrome

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    Williams-Beuren syndrome (WBS) is a rare genetic multisystemic disorder characterized by mild-to-moderate intellectual disability and hypersocial phenotype, while the most life-threatening features are cardiovascular abnormalities. Nowadays, there are no pharmacological treatments to directly ameliorate the main traits of WBS. The endocannabinoid system (ECS), given its relevance for both cognitive and cardiovascular function, could be a potential druggable target in this syndrome. We analyzed the components of the ECS in the complete deletion (CD) mouse model of WBS and assessed the impact of its pharmacological modulation in key phenotypes relevant for WBS. CD mice showed the characteristic hypersociable phenotype with no preference for social novelty and poor short-term object-recognition performance. Brain cannabinoid type-1 receptor (CB1R) in CD male mice showed alterations in density and coupling with no detectable change in main endocannabinoids. Endocannabinoid signaling modulation with subchronic (10 days) JZL184, a selective inhibitor of monoacylglycerol lipase, specifically normalized the social and cognitive phenotype of CD mice. Notably, JZL184 treatment improved cardiovascular function and restored gene expression patterns in cardiac tissue. These results reveal the modulation of the ECS as a promising novel therapeutic approach to improve key phenotypic alterations in WBS
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