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Search Results: 1 - 10 of 21802 matches for " Alberto Fernandez-Teruel "
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Identification of Genetic Variants Underlying Anxiety and Multiple Sclerosis in Heterogeneous Stock Rats  [PDF]
Amelie Baud, Jonathan Flint, Alberto Fernandez-Teruel, The Rat Genome Sequencing Mapping Consortium
World Journal of Neuroscience (WJNS) , 2014, DOI: 10.4236/wjns.2014.43025
Abstract:

Identifying genetic variants that contribute to phenotypic variation is expected to provide insights into the etiology of complex traits. Here we show how combining genetic mapping in an outbred population of rats with sequence data from the progenitors of the population made it possible to identify causal variants and genes for a large number of phenotypes. We identified 355 genomic loci contributing to 122 measures relevant to six models of disease, including fear-related behaviors and experimental autoimmune encephalomyelitis. At 35 of those loci we identified the responsible gene, and in some cases, the responsible variant.

Cued aversive classical conditioning in humans: The role of trait-anxiety  [PDF]
óscar Andión, Xavier Caseras, Miquel àngel Fullana, Alberto Fernandez-Teruel, Marc Ferrer, Miquel Casas, Rafael Torrubia
Open Journal of Psychiatry (OJPsych) , 2013, DOI: 10.4236/ojpsych.2013.32021
Abstract:

No study so far has specifically addressed the influence of individual differences in trait-anxiety on aversive classical conditioning as indexed by the startle reflex response. We compared the startle reflex responses between participants classified as high (n = 25) and low (n = 26) in trait-anxiety while undergoing a single-cue aversive classical conditioning procedure. High trait-anxiety group showed a greater startle response to the CS relative to the ITI at the post-acquisition compared with the pre-acquisition phase. Low trait-anxiety group did not show such a clear pattern of conditioning, and results from this group seem to be concealed by differences in the startle responses to the CS and the ITI during the pre-acquisition phase. However, a post-hoc analysis in which such differences at pre-conditioning were removed showed no conditioning effects in low trait-anxiety participants. Taking together, these results suggest differences between high and low trait-anxiety groups in the acquisition of the CS-US association. However, further research should clarify the unexpected pattern of responses shown by low trait-anxiety group.

Holographic dilatonic model of dark energy
Alberto Rozas-Fernandez
Physics , 2009, DOI: 10.1140/epjc/s10052-010-1536-7
Abstract: We present a dilatonic description of the holographic dark energy by connecting the holographic dark energy density with the dilaton scalar field energy density in a flat Friedmann-Robertson-Walker universe. We show that this model can describe the observed accelerated expansion of our universe with the choice $c\geq1$ and reconstruct the kinetic term as well as the dynamics of the dilaton scalar field.
Kinetic k-essence ghost dark energy model
Alberto Rozas-Fernandez
Physics , 2011, DOI: 10.1016/j.physletb.2012.02.030
Abstract: A ghost dark energy model has been recently put forward to explain the current accelerated expansion of the Universe. In this model, the energy density of ghost dark energy, which comes from the Veneziano ghost of QCD, is proportional to the Hubble parameter, $\rho_D=\alpha H$. Here $\alpha$ is a constant of order $\Lambda^3_{QCD}$ where $\Lambda_{QCD}\sim 100 MeV$ is the QCD mass scale. We consider a connection between ghost dark energy with/without interaction between the components of the dark sector and the kinetic k-essence field. It is shown that the cosmological evolution of the ghost dark energy dominated Universe can be completely described a kinetic k-essence scalar field. We reconstruct the kinetic k-essence function $F(X)$ in a flat Friedmann-Robertson-Walker Universe according to the evolution of ghost dark energy density.
Solving non-uniqueness in agglomerative hierarchical clustering using multidendrograms
Alberto Fernandez,Sergio Gomez
Physics , 2006, DOI: 10.1007/s00357-008-9004-x
Abstract: In agglomerative hierarchical clustering, pair-group methods suffer from a problem of non-uniqueness when two or more distances between different clusters coincide during the amalgamation process. The traditional approach for solving this drawback has been to take any arbitrary criterion in order to break ties between distances, which results in different hierarchical classifications depending on the criterion followed. In this article we propose a variable-group algorithm that consists in grouping more than two clusters at the same time when ties occur. We give a tree representation for the results of the algorithm, which we call a multidendrogram, as well as a generalization of the Lance and Williams' formula which enables the implementation of the algorithm in a recursive way.
Portfolio selection using neural networks
Alberto Fernandez,Sergio Gomez
Computer Science , 2005, DOI: 10.1016/j.cor.2005.06.017
Abstract: In this paper we apply a heuristic method based on artificial neural networks in order to trace out the efficient frontier associated to the portfolio selection problem. We consider a generalization of the standard Markowitz mean-variance model which includes cardinality and bounding constraints. These constraints ensure the investment in a given number of different assets and limit the amount of capital to be invested in each asset. We present some experimental results obtained with the neural network heuristic and we compare them to those obtained with three previous heuristic methods.
Towards a new metamodel for the Task Flow Model of the Discovery Method
Carlos Alberto Fernandez-y-Fernandez
Computer Science , 2012,
Abstract: This paper presents our proposal for the evolution of the metamodel for the Task Algebra in the Task Flow model for the Discovery Method. The original Task Algebra is based on simple and compound tasks structured using operators such as sequence, selection, and parallel composition. Recursion and encapsulation were also considered. We propose additional characteristics to improve the capabilities of the metamodel to represent accurately the Task Flow Model.
Integrating formal methods into traditional practices for software development: an overview
Carlos Alberto Fernandez-y-Fernandez
Computer Science , 2014,
Abstract: This paper shows an overview of a research project for integrating formal methods in popular practices for software development in Mexico. The article shows only the main results from the survey about methods and practices and an overview of the initial proposal of practices applying lightweight formal methods to requirements specification and software modelling.
Screening Measures Used in Child Daycare Centers: A 15-Years Systematic Review  [PDF]
Alberto Filgueiras, Pedro Pires, J. Landeira-Fernandez
Psychology (PSYCH) , 2014, DOI: 10.4236/psych.2014.519213
Abstract: Childcare programs can be expensive for developing countries. To measure the efficiency of these interventions in early childhood cognitive outcomes, screening measures are proposed in this article. A systematic review was conducted to answer two questions: which are the empirical evidence available in the literature to support using psychological screening measures in child daycare centers; and if those measures can be adopted as cost-effective assessment policies for children’s cognition. A total of 109 articles were retrieved. After the exclusion criteria, 18 articles remained. Ten screening measures were detected in the literature. Among those ten, three instruments were used both in child daycare centers and as assessment policies. Psychometric properties and adequacy of these measures to childcare programs are considered. Using Brazil as an example, the present article also discusses the challenges of adopting evidence-based practices in childcare policies in developing countries.
Genetic Rat Models of Schizophrenia-Relevant Symptoms  [PDF]
Cristóbal del Río, Ignasi Oliveras, Toni Ca?ete, Gloria Blázquez, Adolf Tobe?a, Alberto Fernández-Teruel
World Journal of Neuroscience (WJNS) , 2014, DOI: 10.4236/wjns.2014.43030
Abstract:

It is recognized that developing valid animal models is essential for the research on the neurobiological mechanisms of (and treatments for) psychiatric disorders, even when these are as complex as schizophrenia. To be considered a valid analogue of the disorder, a given model should present good face validity (i.e. similarity of symptoms), good predictive validity (i.e. similarity of treatment effects and potential for discovering novel treatments) and enough construct validity (i.e. the model should help discover neurobiological mechanisms underlying the disorder or some relevant symptoms). The complexity of symptoms (positive, negative and cognitive) of schizophrenia makes it a very difficult task for a model to mimic all the main features of the disorder, but some rodent (mouse and rat) models have behavioural and even neurobiological phenotype characteristics resembling positive-like symptoms, cognitive symptoms and some neurochemical features of schizophrenia. As several recent works have already reviewed the main behavioural and developmental models, as well as the most used drug-induced, lesion-induced and genetic mouse models, the present review focuses on describing the most relevant genetically-based rat models of schizophrenia-relevant symptoms. Thus, we discuss several selective breeding programs leading to rat lines/strains which present impaired prepulse inhibition (PPI) of the acoustic startle response and (in some cases) latent inhibition deficits (both of which may be considered as endophenotypes of schizophrenia related with pre-attentive processes and attention, respectively), as well as other schizophrenia-relevant symptoms (e.g. learning deficits). Evidence is presented for the effects of genetic background on PPI (and other symptoms/phenotypes), as well as for environmental influences on genetic predisposition to enhanced apomorphine (mixed dopamine receptor agonist) effects. Some of the described rat models appear to present face validity and, to a certain extent, construct validity. While efforts should be made to evaluate the predictive validity of these

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