No abstract

El objetivo de este estudio era analizar los efectos de un programa de formación sobre la conducta verbal de entrenadores de fútbol base no cualificados. El programa estaba basado en el fomento de estrategias motivacionales y metodológicas para optimizar las necesidades psicológicas básicas de los deportistas, aumentando las conductas relacionadas a un estilo interpersonal de apoyo y, reduciendo las conductas asociadas a un estilo interpersonal controlador. Participaron ocho entrenadores distribuidos intencionadamente en dos grupos: grupo experimental (n = 4) y grupo control (n = 4). Tras la observación del estilo interpersonal de los entrenadores (pre y post) mediante un instrumento creado a propósito para el estudio, no se obtuvieron diferencias significativas entre los dos grupos, aunque los resultados del grupo experimental demostraron una tendencia positiva entre la medida pre-intervención y la post-intervención. Por tanto, el programa resulta eficaz pero no en la medida que se esperaba, por lo que es preciso seguir investigando en esta línea de trabajo.

Air-quality monitoring and analysis are initial parts of a comprehensive strategy to prevent air pollution in cities. In such a context, statistical tools play an important role in determining the [d=R1]time-series trendstrend of time series, locating areas with high [d=R1]pollutant concentrationsconcentration of pollutants, and building predictive models. In this work, we analyzed the spatio-temporal behavior of the pollutant PM10 in the Monterrey Metropolitan Area (MMA), Mexico during the period 2010–2018 by applying statistical analysis to the time series of seven environmental stations. [d=R1]First, weWe used experimental variograms and scientific visualization to determine the general trends and variability in time. Then, fractal exponents (the Hurst rescaled range and Higuchi algorithm) were used to analyze the long-term dependence of the time series and characterize the study area by correlating that dependence with the geographical parameters of each environmental station. The results suggest a linear decrease in PM10 concentration, which showed an annual cyclicity[d=R1]. The, with the autumn-winter period [d=R1]wasas the most polluted and the spring-summer period [d=R1]wasas the least. Furthermore, it was found that the highest average concentrations are located in the western and high-altitude zones of the MMA, and that average concentration is related in a quadratic way to the Hurst and Higuchi exponents, which in turn are related to some geographic parameters. Therefore, [d=R1]in additionadditionally to the results for the MMA, the present paper shows three [d=R1]practicaluseful statistical methods for analyzing the spatio-temporal behavior of air quality.