26 resultados para online classification

em Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco


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[Es] El autoconcepto físico juega un papel decisivo en el bienestar personal y la prevención de trastornos y dificultades de conducta. De ahí la importancia de ayudar educativamente al desarrollo de adecuadas autopercepciones físicas. En este artículo se ofrece un análisis comparativo de dos formatos (papel y on line) de un mismo programa de intervención educativa para la mejora del autoconcepto implementado con estudiantes universitarios. Los datos obtenidos en la medida del autoconcepto físico no confirman una mejora significativa, lo cual no necesariamente desacredita el programa ya que puede atribuirse en parte a determinadas limitaciones observadas en la aplicación del mismo. Por otra parte, la valoración del programa que realizan los sujetos participantes es notablemente positiva, en particular, la de quienes han utilizado la versión on line.

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[ES] Hoy en día, cualquier partido político debe utilizar el marketing para analizar su mercado y posicionarse en el mismo con una estrategia adecuada. Para ello, el papel de la investigación comercial resulta fundamental, dado que nos permite detectar las necesidades y deseos de los electores, pudiendo el partido adoptar decisiones tendentes a satisfacerlas.

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[ES] La estrategia de la Banca española con respecto a Internet se ha enmarcado entre la modernización del sector y el miedo a la competencia de terceras partes. En el artículo mostramos como, desde la efervescencia inicial, las entidades se han centrado en construir un negocio rentable parte de una estrategia multicanal. Sin embargo todavía las instituciones españolas no han conseguido aprovechar todas las ventajas que presenta Internet a la hora de facilitar la comercialización de productos financieros.

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[ES] Este trabajo plantea y analiza, con un enfoque teórico, el papel que puede tener Internet como factor impulsor clave de la convergencia cultural entre países. En este respecto, se reflexiona en torno a una propuesta teórica central, tomando como base principal la aproximación cultural constructivista dinámica. En esencia, se teoriza sobre cómo los valores compartidos por parte de los individuos (consumidores) procedentes de diferentes culturas en este medio, fruto de procesos interactivos e iterativos de comunicación online, pueden ser transferidos de manera plausible a cada una de sus culturas primarias o de origen, fomentando, por tanto, la aproximación de las mismas en el largo plazo.

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[ES] Los trabajos de investigación sobre comercio electrónico en Internet ocupan gran parte de la investigación de marketing, pero son pocos aún los que se han ocupado de estudiar el sistema de subasta. Ante las peculiares características de una compra online, transmitir confianza al consumidor en este contexto es uno de los retos más importantes y difíciles en comparación con la compra offline. No obstante, es de esperar que las señales generadoras de confianza sean diferentes en la compra online por subasta que en la compra online en otros sitios web.

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[ES] En los últimos tiempos existe un énfasis creciente en la comercialización de la investigación universitaria a través de la creación de empresas (spin-offs). Ahora bien, los fenómenos que el concepto de spin-off universitaria trata de abarcar no son homogéneos. Por esta razón, parece conveniente dilucidar las múltiples realidades que abarca organizándolas mediante tipologías.

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[EN] The increasing interest in eco-innovation or environmental innovation as a strategy not only to address the serious global environmental problems but also as a source of competitive advantages for companies and for the emergence of new business areas, leads us to try to identify the different factors that act as determinants of its development and adoption at the micro level.

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Accurate and fast decoding of speech imagery from electroencephalographic (EEG) data could serve as a basis for a new generation of brain computer interfaces (BCIs), more portable and easier to use. However, decoding of speech imagery from EEG is a hard problem due to many factors. In this paper we focus on the analysis of the classification step of speech imagery decoding for a three-class vowel speech imagery recognition problem. We empirically show that different classification subtasks may require different classifiers for accurately decoding and obtain a classification accuracy that improves the best results previously published. We further investigate the relationship between the classifiers and different sets of features selected by the common spatial patterns method. Our results indicate that further improvement on BCIs based on speech imagery could be achieved by carefully selecting an appropriate combination of classifiers for the subtasks involved.

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[EN] Background: Polymerase Chain Reaction (PCR) and Restriction Fragment Length Polymorphism of PCR products (PCR-RFLP) are extensively used molecular biology techniques. An exercise for the design and simulation of PCR and PCR-RFLP experiments will be a useful educational tool. Findings: An online PCR and PCR-RFLP exercise has been create that requires users to find the target genes,compare them, design primers, search for restriction endonucleases, and finally to simulate the experiment. Each user of the service is randomly assigned a gene from Escherichia coli; to complete the exercise, users must design an experiment capable of distinguishing among E. coli strains. By applying the experimental procedure to all completely sequenced E. coli, a basic understanding of strain comparison and clustering can also be acquired. Comparison of results obtained in different experiments is also very instructive. Conclusions: The exercise is freely available at http://insilico.ehu.es/edu.

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In spite of over a century of research on cortical circuits, it is still unknown how many classes of cortical neurons exist. Neuronal classification has been a difficult problem because it is unclear what a neuronal cell class actually is and what are the best characteristics are to define them. Recently, unsupervised classifications using cluster analysis based on morphological, physiological or molecular characteristics, when applied to selected datasets, have provided quantitative and unbiased identification of distinct neuronal subtypes. However, better and more robust classification methods are needed for increasingly complex and larger datasets. We explored the use of affinity propagation, a recently developed unsupervised classification algorithm imported from machine learning, which gives a representative example or exemplar for each cluster. As a case study, we applied affinity propagation to a test dataset of 337 interneurons belonging to four subtypes, previously identified based on morphological and physiological characteristics. We found that affinity propagation correctly classified most of the neurons in a blind, non-supervised manner. In fact, using a combined anatomical/physiological dataset, our algorithm differentiated parvalbumin from somatostatin interneurons in 49 out of 50 cases. Affinity propagation could therefore be used in future studies to validly classify neurons, as a first step to help reverse engineer neural circuits.

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23 p. -- An extended abstract of this work appears in the proceedings of the 2012 ACM/IEEE Symposium on Logic in Computer Science

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Background: Lynch syndrome (LS) is an autosomal dominant inherited cancer syndrome characterized by early onset cancers of the colorectum, endometrium and other tumours. A significant proportion of DNA variants in LS patients are unclassified. Reports on the pathogenicity of the c.1852_1853AA>GC (p.Lys618Ala) variant of the MLH1 gene are conflicting. In this study, we provide new evidence indicating that this variant has no significant implications for LS. Methods: The following approach was used to assess the clinical significance of the p.Lys618Ala variant: frequency in a control population, case-control comparison, co-occurrence of the p.Lys618Ala variant with a pathogenic mutation, co-segregation with the disease and microsatellite instability in tumours from carriers of the variant. We genotyped p.Lys618Ala in 1034 individuals (373 sporadic colorectal cancer [CRC] patients, 250 index subjects from families suspected of having LS [revised Bethesda guidelines] and 411 controls). Three well-characterized LS families that fulfilled the Amsterdam II Criteria and consisted of members with the p.Lys618Ala variant were included to assess co-occurrence and co-segregation. A subset of colorectal tumour DNA samples from 17 patients carrying the p.Lys618Ala variant was screened for microsatellite instability using five mononucleotide markers. Results: Twenty-seven individuals were heterozygous for the p.Lys618Ala variant; nine had sporadic CRC (2.41%), seven were suspected of having hereditary CRC (2.8%) and 11 were controls (2.68%). There were no significant associations in the case-control and case-case studies. The p.Lys618Ala variant was co-existent with pathogenic mutations in two unrelated LS families. In one family, the allele distribution of the pathogenic and unclassified variant was in trans, in the other family the pathogenic variant was detected in the MSH6 gene and only the deleterious variant co-segregated with the disease in both families. Only two positive cases of microsatellite instability (2/17, 11.8%) were detected in tumours from p.Lys618Ala carriers, indicating that this variant does not play a role in functional inactivation of MLH1 in CRC patients. Conclusions: The p.Lys618Ala variant should be considered a neutral variant for LS. These findings have implications for the clinical management of CRC probands and their relatives.

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[EN]Fundación Zain is developing new built heritage assessment protocols. The goal is to objectivize and standardize the analysis and decision process that leads to determining the degree of protection of built heritage in the Basque Country. The ultimate step in this objectivization and standardization effort will be the development of an information and communication technology (ICT) tool for the assessment of built heritage. This paper presents the ground work carried out to make this tool possible: the automatic, image-based delineation of stone masonry. This is a necessary first step in the development of the tool, as the built heritage that will be assessed consists of stone masonry construction, and many of the features analyzed can be characterized according to the geometry and arrangement of the stones. Much of the assessment is carried out through visual inspection. Thus, this process will be automated by applying image processing on digital images of the elements under inspection. The principal contribution of this paper is the automatic delineation the framework proposed. The other contribution is the performance evaluation of this delineation as the input to a classifier for a geometrically characterized feature of a built heritage object. The element chosen to perform this evaluation is the stone arrangement of masonry walls. The validity of the proposed framework is assessed on real images of masonry walls.