992 research outputs found

    Análisis de la relación entre el patrimonio de los fondos de inversión y los depósitos en entidades financieras

    Get PDF
    Los fondos de inversión se han constituido en los últimos años como uno de los principales productos financieros en nuestro país (Tabla 1: series utilizadas) y en la Unión Europea. (Tabla 2: Datos internacionales de Fondos de inversión). Tradicionalmente, se han apuntado desde diversos sectores que los fondos de inversión habían ido incrementando sus patrimonios en detrimento de otros instrumentos, tales como los depósitos. Parece evidente y adecuado analizar y cuantificar el posible impacto real de la competencia entre ambos productos. Por todo ello, hemos abordado la tarea de acometer el presente trabajo como una investigación que debe centrarse en el estudio estadístico y financiero de la relación que puede existir entre los fondos de inversión y los depósitos de entidades financieras. El objetivo de la realización de este estudio ha sido tratar de verificar de qué forma la evolución de los fondos ha condicionado el desarrollo y volumen de los depósitos. A medida que hemos avanzado en nuestro estudio, la relación entre ambos instrumentos, se ha ido poniendo de manifiesto las distintas influencias que sobre las diferentes clases de depósitos ha tenido el crecimiento exponencial del volumen patrimonial de fondos. En este estudio, se ha abordado, desde una perspectiva empírica, no suficientemente investigada, una relación que ha marcado y marca una de las claves para el conocimiento de los flujos que afectan a nuestro sistema financiero y a las instituciones de inversión colectiva. Por todo ello, creemos haber aportado unos elementos de reflexión sobre uno de los aspectos menos estudiados en materia de instituciones de inversión colectiva (la relación entre estas instituciones de inversión colectiva y las entidades de crédito y depósito en su captación de fondos), abriendo nuevos cauces de desarrollo en el entorno de la financiación y de nuestro sistema financiero.

    Antes de votar deberemos conocer algunos detalles importantes

    Get PDF
    Hace poco más de 25 años los españoles votamos en referéndum para aprobar la Constitución Española. Ésta garantizaba una serie de derechos cívicos que incluso muchos desconocíamos por no habérsenos informado de los acuerdos adoptados que se relacionan en la Declaración Universal de los derechos humanos. Por eso este artículo viene a decir que aquello, por lo que se expone en determinados artículos, fue una tomadura de pelo

    Manifiesto por un Jurado Público, soberano y competente

    Get PDF
    La Justicia penal tiene pendiente la asignatura de democratización, se ha quedado vieja. Se rige por una Ley de 1882, la Ley de Enjuiciamiento Criminal. Es la ley que más modificaciones ha sufrido a lo largo de los años, y ningún gobierno ha conseguido derogarla. Pero esta ley no es de la sociedad, es el instrumento punitivo del Estado, y como tal tiene dos beneficios: los jueces y la atribución de un pre-proceso. La única modificación que se ha incluido en beneficio de la sociedad es la institución del Jurado Público

    Los estudios sobre música y audiovisual en España: hacia un estado de la cuestión

    Get PDF
    This article tries to establish the state of the issue concerning the study of music in relation to the audiovisual media in Spain. Taking as a starting point the first texts in which Spanish composers of cinema music state their interest in the issue, we take a tour through the main authors who have done research on this topic from the eighties to the present day. Moreover, we pay special attention to the presence of this field of study in the Spanish academic world and the existence of institutional initiatives, associations and scientific conferences which encourage its development

    LA MÚSICA CINEMATOGRÁFICA DE ASTOR PIAZZOLLA

    Get PDF
    The current work tries to study the relation between Astor Piazzolla (1 92 1 - 1992) and the cinema, from different points of view. On the one hand, we present Piazzolla's compositions for the cinema, which includes 44 soundtracks made between 1949 and 1987, both in Europe and South America. In the same sense, we can see this production within the development of the different styles and ideology of the Argentinian and European directors with whom the composer worked, with special attention of Fernando Solanas, for whom he composed his two last soundtracks. Finally, we investigate the use of Piazzolla's music in productions where he did not take part.El presente trabajo pretende estudiar la relación que unió a Astor Piazzolla (192 1- 1992) con el cine, aproximándonos a ella desde distintos puntos de vista. Por un lado, se presenta la producción compositiva de Piazzolla para el cine, que incluye un total de 44 bandas sonoras realizadas entre 1949 y 1987, tanto en Europa como en Hispanoamérica. Asimismo, se contextualiza esta producción dentro del desarrollo de las distintas tendencias estilísticas e ideológicas de los directores argentinos y europeos con los que colaboró el compositor, con una especial atención a la figura de Fernando Solanas, para quien realizó sus dos Últimas bandas sonoras. Por Último, se indaga en la utilización de la música de Piazzolla dentro de producciones en las que éste no intervino

    Von Mises-Fisher models in the total variability subspace for language recognition

    Full text link
    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. I. Lopez-Moreno, D. Ramos, J. Gonzalez-Dominguez, and J. Gonzalez-Rodriguez, "Von Mises-Fisher models in the total variability subspace for language recognition", IEEE Signal Processing Letters, vol. 18, no. 12, pp. 705-708, October 2011This letter proposes a new modeling approach for the Total Variability subspace within a Language Recognition task. Motivated by previous works in directional statistics, von Mises-Fisher distributions are used for assigning language-conditioned probabilities to language data, assumed to be spherically distributed in this subspace. The two proposed methods use Kernel Density Functions or Finite Mixture Models of such distributions. Experiments conducted on NIST LRE 2009 show that the proposed techniques significantly outperform the baseline cosine distance approach in most of the considered experimental conditions, including different speech conditions, durations and the presence of unseen languages.This work was supported by the Ministerio de Ciencia e Innovación under FPI Grant TEC2009-14719-C02-01 and cátedra UAM-Telefónic

    ATVS-UAM NIST LRE 2009 System Description

    Full text link
    Official contribution of the National Institute of Standards and Technology; not subject to copyright in the United States.ATVS-UAM submits a fast, light and efficient single system. The use of a task-adapted nonspeech-recognition-based VAD (apart from NIST conversation labels) and gender-dependent total variability compensation technology allows our submitted system to obtain excellent development results with SRE08 data with exceptional computational efficiency. In order to test the VAD influence in the evaluation results, a contrastive equivalent system has been submitted exclusively changing ATVS VAD labels with BUT publicly contributed ones. In all contributed systems, two gender-independent calibrations have been trained with respectively telephone-only and mic (either mic-tel, tel-mic or mic-mic) data. The submitted systems have been designed for English speech in an application-independent way, all results being interpretable in the form of calibrated likelihood ratios to be properly evaluated with Cllr. Sample development results with English SRE08 data are 0.53% (male) and 1.11% (female) EER in tel-tel data (optimistic as all English speakers in SRE08 are included in total variability matrices), going up to 3.5% (tel-tel) to 5.1% EER (tel-mic) in pessimistic cross-validation experiments (25% of test speakers totally excluded from development data in each xval set). The submitted system is extremely light in computational resources, running 77 times faster than real time. Moreover, once VAD and feature extraction are performed (the heaviest components of our system), training and testing are performed respectively at 5300 and 2950 times faster than real time

    Frame-by-frame language identification in short utterances using deep neural networks

    Full text link
    This is the author’s version of a work that was accepted for publication in Neural Networks. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Neural Networks, VOL 64, (2015) DOI 10.1016/j.neunet.2014.08.006This work addresses the use of deep neural networks (DNNs) in automatic language identification (LID) focused on short test utterances. Motivated by their recent success in acoustic modelling for speech recognition, we adapt DNNs to the problem of identifying the language in a given utterance from the short-term acoustic features. We show how DNNs are particularly suitable to perform LID in real-time applications, due to their capacity to emit a language identification posterior at each new frame of the test utterance. We then analyse different aspects of the system, such as the amount of required training data, the number of hidden layers, the relevance of contextual information and the effect of the test utterance duration. Finally, we propose several methods to combine frame-by-frame posteriors. Experiments are conducted on two different datasets: the public NIST Language Recognition Evaluation 2009 (3 s task) and a much larger corpus (of 5 million utterances) known as Google 5M LID, obtained from different Google Services. Reported results show relative improvements of DNNs versus the i-vector system of 40% in LRE09 3 second task and 76% in Google 5M LID

    Emotion, Psychological Well-Being and Their Influence on Resilience. A Study with Semi-Professional Athletes

    Get PDF
    The objective of the present study is to analyze the influence of coaches on emotional intelligence and on levels of anxiety, motivation, self-esteem, and resilience among athletes. Five-hundred forty-seven semi-professional athletes between the ages of 16 and 19 participated in this study. Various statistical analyses were conducted which explain the causal relationships between the variables. The results, obtained using a structural equations model, find that while autonomy support positively predicts emotional intelligence, perceived control predicts it negatively. Moreover, emotional intelligence positively predicts self-esteem and self-determined motivation, but negatively predicts anxiety. Other results show that self-esteem positively predicts self-determined motivation, whereas anxiety predicts it negatively. Finally, self-determined motivation positively predicts resilience. Indeed, the study demonstrates the influence and the importance of coaches in relation to the emotional intelligence, psychological well-being, and motivational processes of adolescent athletes when the latter engage in their respective sports. These results help to better understand how different behavioral, emotional, and social aspects belonging to the athlete interrelate with one another during competition

    Tactile Sensibility Thresholds in Implant Prosthesis, Complete Dentures and Natural Dentition: Review about Their Value in Literature

    Get PDF
    [EN]Background and Objectives: The periodontium has important proprioceptive receptors that prevent teeth from using excessive occlusal forces during chewing. There are other receptors from adjacent tissues that replace periodontal ones when teeth are extracted and rehabilitated with prosthesis, although they seem to be less effective. Psychophysical studies investigate tactile sensibility thresholds, which are useful to measure this masticatory efficiency in different prosthetic rehabilitations. There are two types of sensibility depending on the receptors that are activated during these studies: active and passive tactile sensibility. The purpose of this study is to obtain active and passive tactile sensibility threshold figures in natural dentition and prosthetic rehabilitations so we can compare them and understand how this sensibility works in different situations. Materials and Methods: We performed a systematic review of the available literature, following PRISMA guidelines and including articles from 2004 to 2021 in the MEDLINE database. Only 10 articles were included in this investigation as they provided concrete threshold figures. Results: The mean values of active tactile sensibility thresholds in complete dentures, implant prosthesis and natural dentition are 64 µ, 23.3 µ and 16.1 µ, respectively. The mean values of passive tactile sensibility thresholds in implant prosthesis and natural dentition are 6.7 N and 0.8 N, respectively. Conclusions: Implant prosthesis have lower thresholds, that are very close to those present in natural dentition, than complete dentures due to an increased tactile sensibility. Active tactile sensibility thresholds present fewer differences between values than passive tactile ones; as these are only influenced by receptors from periodontal or periimplant tissues
    corecore