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Influencia de los tipos de agrupamiento en la competencia social de futuros docentes de Educación Física al implementar el aprendizaje cooperativo
(Universidade Federal do Rio Grande do Sul, 2023)
El objetivo de esta investigación fue comprobar la incidencia del aprendizaje cooperativo (AC) en la competencia social en función de los tipos de agrupamiento del alumnado. Participaron 53 estudiantes de tercer curso del ...
Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories
(MDPI, 2020-01-28)
An understanding of marine ecosystems and their biodiversity is relevant to sustainable use of the goods and services they offer. Since marine areas host complex ecosystems, it is important to develop spatially widespread ...
Pitch Based Wind Turbine Intelligent Speed Setpoint Adjustment Algorithms
(MDPI, 2014-06)
This work is aimed at optimizing the wind turbine rotor speed setpoint algorithm. Several intelligent adjustment strategies have been investigated in order to improve a reward function that takes into account the power ...
Simulación de sistemas Multi-Agente mediante un esquema Monte Carlo basado en ecuaciones diferenciales ordinarias
(Elsevier, 2011-07)
[ES] En este trabajo se expone una metodología para modelar un sistema Multi-Agente (SMA), para que sea equivalente a un sistema de Ecuaciones Diferenciales Ordinarias (EDO), mediante un esquema basado en el método de Monte ...
Gender and agency in the political learning of contentious activism. Reviewing activist models of young people in the new political cycle in the Basque Country
(Taylor and Francis, 2022-10-13)
The reproduction of gender order in young people’s learning of counter-hegemonic contentious activism may seem a contradiction in a political field seeking to transform the social order and help empower its activists. A ...
Vanadium Redox Flow Batteries: A Review Oriented to Fluid-Dynamic Optimization
(MDPI, 2020-12-31)
Large-scale energy storage systems (ESS) are nowadays growing in popularity due to the increase in the energy production by renewable energy sources, which in general have a random intermittent nature. Currently, several ...
Prediction of Aboveground Biomass from Low-Density LiDAR Data: Validation over P. radiata Data from a Region North of Spain
(MDPI, 2019-09-19)
Estimation of forestry aboveground biomass (AGB) by means of aerial Light Detection and Ranging (LiDAR) data uses high-density point sampling data obtained in dedicated flights, which are often too costly for available ...
Delamination Fracture Behavior of Unidirectional Carbon Reinforced Composites Applied to Wind Turbine Blades
(MDPI, 2021-01-27)
One of the materials that is used widely for wind turbine blade manufacturing are fiber-reinforced composites. Although glass fiber reinforcement is the most used in wind turbine blades, the use of carbon fiber allows ...
Computational Methods for Modelling and Optimization of Flow Control Devices
(MDPI, 2020-07-19)
Over the last few years, the advances in size and weight for wind turbines have led to the development of flow control devices. The current work presents an innovative method to model flow control devices based on a cell-set ...
El Cuaternario en el País Vasco: La Ría de Bilbao y el Geoparque de la Costa Vasca
(Asociación Española para el Estudio del Cuaternario (AEQUA), 2019-07-01)
Entre los días 1-5 de julio 2019 se celebró en Bilbao la XV Reunión Nacional de Cuaternario. Este congreso de la Asociación Española para el Estudio del Cuaternario (AEQUA) fue organizado localmente por la Unidad de Formación ...