Reaction time on fencing and karate high level athletes

The great speed of the actions in combat sports makes very difficult to react quickJy without mistakes. If the fighter had longer time to react, their reaction would be more accurate. This fact gives relevance to choice lime reaction (CRT) studies on these kinds of sports. The importance of the athletes1 physical or psychological abilities varies depending on the sporl played. According to the requirements of the speciality, players who reach Ihe maximum level will be those who have the characteristics requested to compete on it. These abilities could be innate or "life-long" acquired by training. Previous studies have not confirmed yet in which sports reaction time is more important, in addition, previous measurements should be considered with caution because some of Ihem included movement time in the reaction time results (Martmez de Quel, 2003). An approach to gel further knowledge about this subject, it is comparing the results of e\perts in two or more disciplines with unspecific tests, in which previous sport experience is not required in order to perform the lest

obtención de barridos láser 3D nivelados conn el robot móvil Andábata en movimiento

Este artículo describe la adquisición de barridos tridimensionales (3D) nivelados en el robot móvil Andábata sin necesidad de detener su movimiento. Para ello, la computadora de Andábata debe integrar cada uno de los rangos láser, adquiridos con unos determinados ángulos de cabeceo y guiñada, con la información odométrica y las medidas de inclinación del vehículo para producir coordenadas Cartesianas niveladas referenciadas al inicio de cada barrido. Todo ello se ha realizado bajo el sistema operativo de robots ROS con la ayuda de paquetes estándard. El correcto funcionamiento de este esquema local de Localización y Modelado Simultáneos (SLAM) se ha comprobado experimentalmente sobre terreno inclinado.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Self-Esteem at University: Proposal of an Artificial Neural Network Based on Resilience, Stress, and Sociodemographic Variables

Artificial intelligence (AI) is a useful predictive tool for a wide variety of fields of knowledge. Despite this, the educational field is still an environment that lacks a variety of studies that use this type of predictive tools. In parallel, it is postulated that the levels of self-esteem in the university environment may be related to the strategies implemented to solve problems. For these reasons, the aim of this study was to analyze the levels of self-esteem presented by teaching staff and students at university (N = 290, 73.1% female) and to design an algorithm capable of predicting these levels on the basis of their coping strategies, resilience, and sociodemographic variables. For this purpose, the Rosenberg Self-Esteem Scale (RSES), the Perceived Stress Scale (PSS), and the Brief Resilience Scale were administered. The results showed a relevant role of resilience and stress perceived in predicting participants’ self-esteem levels. The findings highlight the usefulness of artificial neural networks for predicting psychological variables in education

Analysis of the presence of sustainability in Higher Education Degrees of the Spanish university system

This paper analyzes the extent to which sustainability is present in the curricula of the 16 Education Degree programs belonging to the EDINSOST project: 6 Early Childhood Education Degrees, 7 Primary Education Degrees, 2 Pedagogy Degrees and 1 Social Education Degree. The results obtained suggest that sustainability is present in all Degrees, but not uniformly so. A great disparity is observed in the number of subjects that develop sustainability, with an average of 22.63 subjects per Degree. The competency most present is the ‘ Application of ethical principles related to the values of sustainability in personal and professional behaviors, ’ while the least present is ‘ Sustainable use of resources and prevention of negative impacts on the natural and social environment. ’Sustainability is not developed uniformly in the different universities either. Three universities (UAM, UCA and UIC) develop sustainability competencies at 100%, while others such as the USAL do so at only 50

Reinforcement and Curriculum Learning for Off-Road Navigation of an UGV with a 3D LiDAR

This paper presents the use of deep Reinforcement Learning (RL) for autonomous navigation of an Unmanned Ground Vehicle (UGV) with an onboard three-dimensional (3D) Light Detection and Ranging (LiDAR) sensor in off-road environments. For training, both the robotic simulator Gazebo and the Curriculum Learning paradigm are applied. Furthermore, an Actor–Critic Neural Network (NN) scheme is chosen with a suitable state and a custom reward function. To employ the 3D LiDAR data as part of the input state of the NNs, a virtual two-dimensional (2D) traversability scanner is developed. The resulting Actor NN has been successfully tested in both real and simulated experiments and favorably compared with a previous reactive navigation approach on the same UGV.Partial funding for open access charge: Universidad de Málag

Development of two Spanish versions of the Verbal Selective Reminding Test

El Test de Recuerdo Verbal Selectivo (TRVS) es una de las pruebas más extensamente utilizadas para la evaluación del aprendizaje y la memoria verbales. Sin embargo, este test ha sido construido principalmente para evaluar a pacientes de habla inglesa, no existiendo todavía ninguna versión española que pueda ser utilizada para evaluar a pacientes de habla hispana. Para solventar este problema, se construyeron dos versiones españolas del Test de Recuerdo Verbal Selectivo administrándose a 48 sujetos sanos, 19-31 años, en dos sesiones separadas. Encontramos que las respuestas de los sujetos a las dos versiones fueron comparables, excepto para un índice. Todas las variables sobre ambas formas presentaron correlaciones positivas significativas. También se estudió la fiabilidad test-retest para cada orden, encontrándose que el orden 2 (en el que la forma 2 se administró primero) fue más fiable que el orden 1 (donde la forma 1 se administró primero).The Selective Reminding procedure has become a widely used test for evaluating verbal learning and memory. However, since this test was mainly devised for use in English speaking individuals, disadvantages could appear when translations of the test are applied to Spanish speaking patients. To overcome these difficulties, two Spanish versions of the Verbal Selective Reminding Test were devised and administered to 48 healthy individuals, 19-31 years in age, in two separate sessions. We found that performances on the two forms were comparable, except for one measure. All the variables on both forms yielded significant positive correlations. We also examined test-retest reliability separately for both possible orders, with Order 2 (Form 2 administered first) being more reliable than Order 1 (Form 1 administered first)

Article Mindfulness Abilities Are Associated with Anxiety Levels, Emotional Intelligence, and Perceived Self-Efficacy

This study examined the relationship between anxiety, emotional intelligence, perceived self-efficacy, and mindfulness abilities. A total of 205 Spanish university students were assessed for mindfulness (Freiburg Mindfulness Inventory-14), state-trait anxiety (State-Trait Anxiety Inventory), emotional intelligence (Trait Meta-Mood Scale-24), and general perceived self-efficacy (General Self- Efficacy Scale). The Student’s t-test was used to evaluate the possible differences between sexes for the study variables. Multiple regression analyses were conducted for each sex independently to evaluate the relationship between mindfulness and the other psychological variables, using mindfulness dimensions as a dependent variable. The results showed significant differences between females and males in mindfulness dimensions of self-control (p < 0.001) and acceptance (p = 0.012), and state (p = 0.005) and trait anxiety (p < 0.001). Multiple linear regression analyses revealed that the models for the relationship between mindfulness dimensions (attention, self-control, acceptance, and self-perception) and the other variables differed between females and males. Our results suggest that anxiety, emotional intelligence, and general perceived self-efficacy may be related to mindfulness abilities among a sample of Spanish university students. These findings could inform the development of targeted intervention programs to improve these psycho-emotional abilities

Burnout, Resilience, and COVID-19 among Teachers: Predictive Capacity of an Artificial Neural Network

Emotional exhaustion, cynicism, and work inefficiency are three dimensions that define burnout syndrome among teachers. On another note, resilience can be understood as the ability to adapt to the environment and overcome adverse situations. In addition, COVID-19 has provided a threatening environment that has led to the implementation of resilience strategies to struggle with burnout and cope with the virus. The aim of this study was to analyze the relationship between resilience, burnout dimensions, and variables associated with COVID-19 through the design of an artificial neural network architecture. For this purpose, the Maslach Burnout InventoryGeneral Survey (MBI-GS), the Brief Resilience Coping Scale (BRCS), and a questionnaire on stress towards COVID-19 were administered to 419 teachers from secondary schools in southeastern Spain (292 females; 69.7%). The results showed that 30.8% suffered from burnout (high emotional exhaustion, high cynicism, and low professional efficacy) and that 38.7% had a high level of resilience, with an inverse relationship between both constructs. Likewise, we modelled an ANN able to predict burnout syndrome among 97.4% of teachers based on its dimensions, resilience, sociodemographic variables, and the stress generated by COVID-19. Our conclusions shed some light on the efficacy of relying on artificial intelligence in the educational field to predict the psychological situation of teachers and take early action

Analysis of the rear leg rotation movement during the fencing lunge

The most relevant aulhois of fencing agree on the extension of the rear leg's knee from the on guard position, which is the ona thai provides ihe real speed to the lunge, and the extension of the arm only serves to drive the points towards the target. All the authors coincide thai it is important to keep the whole sole of the rear Foot supported on the Boor, keeping the same direction and without sliding it during the movernent, being the only one support that assures a really fast and balanced lunge, allowing the return to the on guard position or to continue towards ahead. Nevertheless, in a competition it may be observed that there are just a few fencers that keep the position of the feet in 90° angle during the lunge, as proposed in the fencing books. From this situation, we try to know if the rotation movement of the rear leg improve the speed of the Mass Centre and the weapon