Modeling and analysis of random and stochastic input flows in the chemostat model

In this paper we study a new way to model noisy input flows in the chemostat model, based on the Ornstein-Uhlenbeck process. We introduce a parameter β as drift in the Langevin equation, that allows to bridge a gap between a pure Wiener process, which is a common way to model random disturbances, and no noise at all. The value of the parameter β is related to the amplitude of the deviations observed on the realizations. We show that this modeling approach is well suited to represent noise on an input variable that has to take non-negative values for almost any time.European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER)Ministerio de Economía y Competitividad (MINECO). EspañaJunta de Andalucí

Análisis de la brecha salarial por razón de género en Castilla y León

Las diferencias salariales entre hombres y mujeres son una realidad, en muchas ocasiones desconocida o ignorada. En este trabajo se aborda el análisis sobre la brecha salarial en Castilla y León. En primer lugar, se realiza un breve recorrido por el panorama de la mujer a lo largo del siglo XX, continuando, con la legislación relacionada con el tema, así como los nuevos cambios que han surgido en el último año. Posteriormente, nos marcamos el objetivo principal que va a consistir en demostrar la existencia de brecha salarial en Castilla y León. La metodología utilizada va a radicar en el empleo de datos estadísticos ofrecidos por el INE, así como el estudio de una base de datos con diferentes convenios colectivos de empresa y de sector. Concluyendo, la brecha salarial existe, aunque es difícil demostrarlo desde el plano institucional, siendo necesaria la educación y la actualización de la normativa para erradicar este problema de raíz.Grado en Relaciones Laborales y Recursos Humano

‘Putting new wine in old bottles’: Angela Carter and the Renewal of Literary Canons.The Case of “Overture and Incidental Music for A Midsummer Night’s Dream”

[Abstract] In “Overture and Incidental Music for A Midsummer Night’s Dream,” included in Black Venus (1985), Angela Carter provides a brilliant free adaptation of William Shakespeare’s well-known comedy in order to censure already obsolete patriarchal and masculine principles. Taking as the focal point the figure of Golden Herm and its relations with the other characters in the story, especially Titania, Oberon, and Puck, this essay attempts to analyse Angela Carter’s zeal for adapting old stories and conventions to nowadays thinking. The British novelist proposes an active reading of the play that goes beyond traditional sexist prejudices and manages to call into question the validity of these masculine principles. After all, as she herself explained with the metaphor, it is a matter of “putting new wine in old bottles.

Dynamics of some stochastic chemostat models with multiplicative noise

In this paper we study two stochastic chemostat models, with and without wall growth, driven by a white noise. Specifically, we analyze the existence and uniqueness of solutions for these models, as well as the existence of the random attractor associated to the random dynamical system generated by the solution. The analysis will be carried out by means of the well-known Ornstein-Uhlenbeck process, that allows us to transform our stochastic chemostat models into random ones.Fondo Europeo de Desarrollo RegionalMinisterio de Economía y CompetitividadJunta de Andalucí

Assembling learning objects for personalized learning. An AI planning perspective

© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.[EN] The aim of educational systems is to assemble learning objects on a set of topics tailored to the goals and individual students' styles. Given the amount of available Learning Objects, the challenge of e-learning is to select the proper objects, define their relationships, and adapt their sequencing to the specific needs, objectives, and background of the student. This article describes the general requirements for course adaptation, the full potential of applying planning techniques on the construction of personalized e-learning routes, and how to accommodate the temporal and resource constraints to make the course applicable in a real scenario.This work has been partially supported by the Spanish Ministerio de Ciencia e Innovacion (MICINN) under projects TIN2008-06701-C03-01, Consolider Ingenio 2010 CSD2007-00022, and the Valencian Prometeo project 2008/051.Garrido, A.; Onaindia De La Rivaherrera, E. (2013). Assembling learning objects for personalized learning. An AI planning perspective. IEEE Intelligent Systems. 28(2):64-73. https://doi.org/10.1109/MIS.2011.36S647328

Calculation of threshold Olsen P values for fertilizer response from soil properties

Phosphorus (P), a non-renewable resource, needs to be used more efficiently in agriculture. This requires using soil P tests. However, the P test threshold values for fertilizer response depend on many soil properties, some of which may be useful to estimate these threshold values, others not. Therefore, we searched here which soil properties are useful to estimate P threshold values. We calculated the threshold values for Olsen P and 0.01 M CaCl2 extractable P of 18 representative agricultural soils of the Mediterranean region of Spain. For that, we performed a P starvation experiment in which wheat and sunflower were alternatively pot-cropped. Results show that Olsen P threshold values are negatively correlated to P buffer capacity (r of −0.74, P lower than 0.001), clay content (−0.82, 0.001), pH (−0.76, 0.001), and Fe oxide content (−0.55, 0.05). Multiple regression models involving clay, pH or soil organic C, and phosphatase activity or organic hydrolysable P accounted for as much as 87 % of the variance in calculated Olsen P threshold values. In particular, there is a major effect of organic P on Olsen P threshold values. Single models based on routinely measured soil properties such as clay content and pH made accurate predictions of Olsen P threshold values with r 2 of 0.81 and P lower than 0.001

Evaluación de material videográfico de apoyo al aula de primaria

Este artículo es parte del subproyecto de investigación dentro de un proyecto más ambicioso financiado por el MEC tras convocatoria de I+D con fondos Feder. En este proyecto han participado de forma multidisciplinar biólogos y pedagogos con funciones distintas y coordinados. Aquí relatamos parte de la evaluación desarrollada en el subproyecto pedagógico que tiene por objetivo la evaluación de materiales y productos generados en el proyecto .This article is part of the subproject of investigation within a more ambitious project financed by MEC and Feder. In this project they have participated in form to multidiscipline to biologists and pedagogos with different and coordinated functions. Here we related part of the evaluation developed in the pedagogical subproject that has by objective the evaluation of materials and products generated in the project