Parental Supervision: Predictive Variables of Positive Involvement in Cyberbullying Prevention

From an increasingly early age, parents face the challenge of educating their sons and daughters to act in the world of offline and online relationships. If for professional educators it is not proving easy, the involvement and guidance of parents in their children′s use of the internet seems to be a complex and unexplored challenge. This work aims to analyse the variables that influence digital education and determine a predictive model of positive parental involvement. This study was done with a representative sample consisting of five hundred and ninety-six families (596), representing the parents of children from schools with similar socio-cultural indexes. To do this, and using self-report instruments convertible into independent scales, four predictor variables were analysed: (1) parental knowledge of cyberbullying; (2) perception of parental competence in this regard; (3) parental perception of online risks; and (4) the attribution of parental responsibility in digital education. A structural equations model (SEM) examined the predictive value of these variables with respect to positive parental involvement. The structural equations model confirmed direct and mediated relationships between the independent and mediating variables on the dependent variable: parental supervision. The results indicate that positive parental involvement can be predicted from higher scores in parental knowledge of cyberbullying, perception of parental competence, risk adjustment, and attribution of parental responsibility

The quantum-classical transition as an information flow

We investigate the classical limit of the semiclassical evolution with reference to a well-known model that represents the interaction between matter and a given field. This is done by recourse to a special statistical quantifier called the "symbolic transfer entropy". We encounter that the quantum-classical transition gets thereby described as the sign-reversal of the dominating direction of the information flow between classical and quantal variables.Facultad de Ciencias Exacta

The quantum-classical transition as an information flow

We investigate the classical limit of the semiclassical evolution with reference to a well-known model that represents the interaction between matter and a given field. This is done by recourse to a special statistical quantifier called the "symbolic transfer entropy". We encounter that the quantum-classical transition gets thereby described as the sign-reversal of the dominating direction of the information flow between classical and quantal variables.Facultad de Ciencias Exacta

Ensayo y procedimiento para la evaluación de la biodegradabilidad rápida de aguas mediante Psuedomonas Putida

Número de publicación: ES2470819 A1 (24.06.2014) También publicado como: ES2470819 B1 (05.05.2015) Número de Solicitud: Consulta de Expedientes OEPM (C.E.O.) P201300029(21.12.2012)Ensayo y procedimiento para la evaluación de la biodegradabilidad rápida de aguas mediante Pseudomonas putida. La invención consiste en un nuevo kit y procedimiento de evaluación de la "biodegradabilidad rápida" de aguas contaminadas. El test se basa en el empleo de unas cápsulas que contienen una proporción adecuada de bacteria Pseudomonas putida liofilizada y sales minerales que se añaden al agua cuya biodegradabilidad desea evaluarse. Durante tres días de incubación a 30°C, se monitoriza la Demanda Química de Oxígeno (DQO) y se calcula la eficiencia de biodegradabilidad al final del ensayo. Este test está dirigido al sector del tratamiento de efluentes acuosos, especialmente de origen industrial para realizar el seguimiento de la biodegradabilidad. El método resuelve los problemas de repetibilidad y tiempo de ensayo de los métodos tradicionales.Universidad de Almerí

Methodology for obtaining simplified models for the long-term energy management of renewable assets under a high degree of uncertainty

This paper addresses the attainment of a methodology aimed at obtaining simplified models embedding the regulatory constraints imposed by the country-specific remuneration mechanisms in the energy management system of long operating life renewable assets under a high degree of uncertainty. This methodology, composed of different steps in which sensitivity analysis as well as Monte Carlo simulation play a key role, is focused on a significant case study that has implemented two of the most widely used worldwide remuneration mechanisms in the promotion of renewable energies, i.e., feed-in tariffs and auctions. The earnings before interest, tax, depreciation and amortization have been used as the output variable of the energy management model, as it is essential to take into account both revenues and operating costs of these renewable assets to manage them optimally. Some valid simplified models have been achieved by applying the proposed methodology to the case study with generalized errors below 5%. Specifically, one simplified energy management system model has been obtained under the feed-in tariff scheme, which involves acting on almost 40% of the equations of the original model and reducing the initial input parameters by 22%. Meanwhile, two simplified energy management system models have been obtained under the auction scheme. The most conservative simplified model involves acting on almost 50% of the equations of the original model and reducing the initial input parameters by 35%, while in the less conservative case it involves acting on more than 50% of the equations of the original model and reducing the initial input parameters by 42%. In short, although the uncertainty on the energy assets cannot be completely eliminated, it can be considerably reduced by facilitating the assessment of its prospective financial results. The validity of the achieved simplified models demonstrates the suitability and usefulness of the proposed simplifying methodology, providing a touch of quality in the long-term judgement and decision-making of the stakeholders when optimally managing renewable energy facilities under any type of remuneration scheme.Peer ReviewedPostprint (author's final draft

Utilización de tecnologías adaptativas para la gestión de la energía de un sistema operativo didáctico

Utilización de tecnologías adaptativas para la gestión de la energía de un sistema operatEl presente proyecto de investigación se centra en la aplicación de dispositivos adaptativos —en nuestro caso, tablas de decisión— por parte de los usuarios para lograr que la gestión de la energía del sistema operativo se adapte, lo mejor posible, al uso de los recursos subyacentes, tanto procesador como dispositivos y motherboard, con el objeto de maximizar la eficiencia de consumo y el rendimiento general del sistema. La motivación creciente por la búsqueda de la eficiencia energética como alternativa al paradigma de rendimiento a cualquier costo, impulsa la necesidad de herramientas que procuren reducir significativamente el consumo eléctrico y espacial con mínimo impacto en el rendimiento. Se busca reducir el costo económico y la tasa de fallas, e incrementar la duración de baterias de dispositivos portátiles. Al finalizar, obtendremos una tabla de decisión inicial que mejor responda, de manera general, a los escenarios de gestión de energía sin información previa sobre las costumbres de uso del usuarios y, además, cuando se alcance una propuesta de acciones adaptativas que, a través del análisis de métricas que deberán ser definidas, logren una tabla diferente para cada usuario, que supere la eficiencia y el rendimiento de la inicial, luego de un lapso de tiempo.Eje: Arquitectura, Redes y Sistemas OperativosRed de Universidades con Carreras en Informática (RedUNCI

Assessing the 2014 retroactive regulatory framework applied to the concentrating solar power systems in Spain

The RD 413/2014 new economic and regulatory framework applied to the concentrating solar power plants (CSPP) in Spain has been here analysed and its new remuneration scheme has been formulated, becoming evident its high complexity and the great number of regulatory parameters involved. Next, a new model focused on determining its impact on the economic results of the existing CSPP has been proposed. Due to the complexity of the system, a methodology comprising a set of different stages of analysis has been developed. The new model has proven to be a useful tool to analyse the economic impact of the new regulatory scheme on the facilities and to identify its most influential regulatory parameters. One of the most representative facilities has been chosen as a case study to undertake the analysis. The results of the analysis, which have shown a substantial profitability reduction, have been consistent with the appreciations and data provided by the claimants of the last arbitral Award concerning the Kingdom of Spain and investors of CSPP in this country.Peer ReviewedPreprin