Deporte escolar: factores psico-socio-estructurales que lo determinan

Esta propuesta está dirigida a agentes relacionados con el deporte educativo, que a través de sus valores, recompensas y estilos de retroalimentación, configuran el contexto deportivo dándole una forma distinta en cada caso. Ellos ofrecen oportunidades para decidir, cometer errores sin consecuencias, volver a intentarlo, tomar conciencia de las propias posibilidades y para otras muchas cosas más. Son estas, entre otras, las razones que nos llevan a defender este planteamiento.Proposamen hau kirol hezigarriarekin zerikusia duten eragileentzat da; horiek beren balio, sari eta berrelikadura estiloen bidez kirol testuingurua itxuratzen baitute, kasu bakoitzean molde desberdina ematen diotela. Horiek aukerak ematen dituzte erabakiak hartzeko, ondoriorik gabeko hutsak egiteko, berriro saiatzeko, nork bere ahalbideez kontzientzia hartzeko, bai eta beste gauza askotarako ere. Horiek dira, besteak beste, planteamendu hau defendatzera eramaten gaituzten arrazoiak.Cette proposition est adressée aux agents en relation avec le sport éducatif, qui, à travers ses valeurs, récompenses et styles de retroalimentation, configurent le contexte sportif en lui donnant une forme différence dans chaque cas. Ils offrent des occasions pour décider, commettre des erreurs sans conséquences, recommencer, prendre conscience des propres possibilités et pour beaucoup d'autres choses. Ce sont, entre autres, les raisons qui nous amènent à défendre ce programme.This article addresses the educational features of sport. It is directed to those sport agents who through transmission of values, establishment of rewards and by using optimal feedback styles articulate the educational sport context. This context in turn, offers opportunities to make decisions, to commit errors without negative consequences and allowing new trials, to become aware of one's competence.... These are some of the issues underlying this article

Predicting Pregnancy Outcomes Using Longitudinal Information: A Penalized Splines Mixed–Effects Model Approach

We propose a semiparametric mixed–effects model (SNMM) using penalized splines to clas- sify longitudinal data and improve the prediction of a binary outcome. The work is motivated by a study in which different hormone levels were measured during the early stages of preg- nancy, and the challenge is using this information to predict normal versus abnormal pregnancy outcomes. The aim of this paper is to compare models and estimation strategies based on alternative formulations of SNMMs depending on the characteristics of the data set under con- sideration. For our motivating example, we address the classification problem using a particular case of the SNMM in which the parameter space has a finite dimensional component (fixed effects and variance components) and an infinite dimensional component (unknown function) that need to be estimated. The nonparametric component of the model is estimated using pe- nalized splines. For the parametric component, we compare the advantages of using random effects versus direct modeling of the correlation structure of the errors. Numerical studies show that our approach improves over other existing methods for the analysis of this type of data. Furthermore, the results obtained using our method support the idea that explicit modeling of the serial correlation of the error term improves the prediction accuracy with respect to a model with random effects, but independent errors.MTM2014-52184-

EXPLORING THE IMPACT OF APOE POLYMORPHISM ON THE MOLECULAR, MORPHOLOGICAL AND FUNCTIONAL PROFILE OF iPSC-DERIVED ASTROCYTES FROM ALZHEIMER'S PATIENTS

Comunicación presentada a FENS Forum 2022Alzheimer¿s disease (AD) is pathologically characterised by the presence of amyloid-beta plaques, neurofibrillary tangles containing hyperphosphorylated Tau protein, neuroinflammation and neuronal death leading to progressive cognitive impairment. The ¿4 allele of the gene encoding apolipoprotein E (APOE), which is mainly expressed in glial cells, is the strongest genetic risk factor for sporadic AD. Increasing evidence has shown that APOE4 may disrupt normal astrocyte activity, potentially contributing to AD pathology, but the impact of different APOE alleles on astrocyte differentiation, maturation and function is not yet fully understood. To go in depth on these questions, we obtained induced pluripotent stem cells (iPSCs) from fibroblasts of AD patients carrying ¿3 and ¿4 alleles (in homozygosis) and from healthy patients. We also used gene-edited iPSC lines homozygous for the main APOE variants and an APOE knock-out line. iPSC-derived human astrocytes were generated by establishing a differentiation protocol through the consecutive addition of small molecules and growth factors, and the expression of typical markers (GFAP, GLT1, AQP4 and S100beta) and APOE was analysed. In addition, astrocytes exhibited functional features like glutamate uptake capacity and calcium waves production. They also responded to an inflammatory stimulus (IL-1beta and TNF-alpha) or to the presence of amyloid-beta 1-42 peptide by changing their morphology and increasing the expression levels of pro-inflammatory factors and cytokines. Our results shed light on the potential dual role of APOE polymorphism and the individual¿s genetic background in favouring or perhaps preventing AD pathology

PINGS: the PPAK IFS Nearby Galaxies Survey

We present the PPAK Integral Field Spectroscopy (IFS) Nearby Galaxies Survey: PINGS, a 2-dimensional spectroscopic mosaicking of 17 nearby disk galaxies in the optical wavelength range. This project represents the first attempt to obtain continuous coverage spectra of the whole surface of a galaxy in the nearby universe. The final data set comprises more than 50000 individual spectra, covering in total an observed area of nearly 80 arcmin^2. In this paper we describe the main astrophysical issues to be addressed by the PINGS project, we present the galaxy sample and explain the observing strategy, the data reduction process and all uncertainties involved. Additionally, we give some scientific highlights extracted from the first analysis of the PINGS sample.Comment: Accepted for publication in MNRAS, 26 pages, 14 figures (some in low resolution), 3 table