960 resultados para multi-modal argumentation
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Introducción: el Trastorno Límite de la Personalidad afecta del 2% al 6% de los adultos en Estados Unidos. Es una condición de alta relevancia dentro de las patologías psiquiátricas debido a características como impulsividad, inestabilidad en las relaciones interpersonales, disregulación en el estado de ánimo y comportamiento agresivo. Esto determina un impacto negativo en la funcionalidad del individuo siendo la agresividad contra sí mismo o contra otras personas uno de sus componentes claves. Métodos: Revisión sistemática de la literatura de artículos de bases de datos y búsqueda manual de revistas relacionadas que aportaran la mejor evidencia con el fin de encontrar estudios que evaluaran, con instrumentos objetivos, los tratamientos farmacológicos disponibles para el manejo de la agresividad en el TLP .Se evaluó calidad metodológica y los estudios se organizaron en tablas de evidencia. Resultados: La búsqueda arrojo 1081 artículos de los cuales se seleccionaron 52 como potenciales y cinco fueron incluidos en esta revisión. Se clasificaron como nivel de evidencia Ib. El topiramato, el aripiprazol, el divalproato y la fluoxetina mostraron mejores resultados que el placebo especialmente en agresividad e impulsividad. El topiramato fue asociado con pérdida de peso. Los medicamentos fueron seguros y bien tolerados. Discusión: Los medicamentos evaluados mostraron ser mejores que placebo. La diversidad en las escalas utilizadas genera complejidad en la interpretación de resultados. Conclusión: La evidencia sugiere que el tratamiento farmacológico es efectivo en síntomas como agresividad e impulsividad comparado con placebo. Deben considerarse estudios que evalúen combinaciones de fármacos y psicoterapia.
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La presente investigación tiene como objetivo analizar en qué medida la estrategia de liderazgo regional de la India ha sido impulsada a través de los programas y proyectos de cooperación sur-sur ofrecidos por este país en el periodo de 2003-2012. De igual forma se pretende indagar sobre el papel histórico que ha jugado la India en el establecimiento y posterior evolución de esta nueva forma de cooperación que ha sido vista por la mayoría de los académicos como un complemento de la cooperación norte-sur, y que responde a una serie de intereses particulares. En este caso en particular, la cooperación sur-sur ha sido utilizada por India como una herramienta para incrementar sus capacidades de poder que le permitan consolidarse como líder regional.
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Introducción: La escala LLANTO para dolor es una escala que hasta la fecha ha sido solo validada en población infantil española, actualmente no se conocen datos en población colombiana. Se pretende validar la escala de dolor LLANTO en pacientes neonatos y menores de 5 años, a través de su aplicación en pacientes atendidos en una de tres instituciones, además comparándola con las escalas FLACC y PIPP dependiendo de edad del paciente. Metodología: Se incluyeron niños con cualquier tipo de dolor, clasificándolos en dos grupos por edad: 1) neonatos y 2) niños entre 1 mes y 5 años de edad, que asistieron a la Fundación Cardioinfantil, Clínica Infantil Colsubsidio o al Hospital Universitario Mayor. Las escalas fueron aplicadas por dos residentes de pediatría y una enfermera especializada en el cuidado de población infantil. Para la prueba piloto se diseñó un cuestionario determinar dificultades en la aplicación de la escala LLANTO. Una vez corregidos los problemas identificados se procederá a la validación de la escala. Resultados: Se presentan los datos de la prueba piloto. Se incluyeron 8 neonatos y 8 niños entre 1 mes y 5 años, esta muestra fue obtenida en un periodo de un mes, con la encuesta se evaluó la aceptación y entendimiento de la escala LLANTO por parte de los evaluadores. La prueba piloto mostró resultados favorables en el 100% de los encuestados. Discusión: Se considera que la escala LLANTO no requiere cambios para continuar con su validación.
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This paper presents an experimental Receptive-Expressive Multi-Modal Learning Program of Patterned Language Practice for hearing-impaired children.
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We present results from fast-response wind measurements within and above a busy intersection between two street canyons (Marylebone Road and Gloucester Place) in Westminster, London taken as part of the DAPPLE (Dispersion of Air Pollution and Penetration into the Local Environment; www.dapple.org.uk) 2007 field campaign. The data reported here were collected using ultrasonic anemometers on the roof-top of a building adjacent to the intersection and at two heights on a pair of lamp-posts on opposite sides of the intersection. Site characteristics, data analysis and the variation of intersection flow with the above-roof wind direction (θref) are discussed. Evidence of both flow channelling and recirculation was identified within the canyon, only a few metres from the intersection for along-street and across-street roof-top winds respectively. Results also indicate that for oblique rooftop flows, the intersection flow is a complex combination of bifurcated channelled flows, recirculation and corner vortices. Asymmetries in local building geometry around the intersection and small changes in the background wind direction (changes in 15-min mean θref of 5–10 degrees) were also observed to have profound influences on the behaviour of intersection flow patterns. Consequently, short time-scale variability in the background flow direction can lead to highly scattered in-street mean flow angles masking the true multi-modal features of the flow and thus further complicating modelling challenges.
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Many techniques are currently used for motion estimation. In the block-based approaches the most common procedure applied is the block-matching based on various algorithms. To refine the motion estimates resulting from the full search or any coarse search algorithm, one can find few applications of Kalman filtering, mainly in the intraframe scheme. The Kalman filtering technique applicability for block-based motion estimation is rather limited due to discontinuities in the dynamic behaviour of the motion vectors. Therefore, we propose an application of the concept of the filtering by approximated densities (FAD). The FAD, originally introduced to alleviate limitations due to conventional Kalman modelling, is applied to interframe block-motion estimation. This application uses a simple form of FAD involving statistical characteristics of multi-modal distributions up to second order.
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Brain activity can be measured non-invasively with functional imaging techniques. Each pixel in such an image represents a neural mass of about 105 to 107 neurons. Mean field models (MFMs) approximate their activity by averaging out neural variability while retaining salient underlying features, like neurotransmitter kinetics. However, MFMs incorporating the regional variability, realistic geometry and connectivity of cortex have so far appeared intractable. This lack of biological realism has led to a focus on gross temporal features of the EEG. We address these impediments and showcase a "proof of principle" forward prediction of co-registered EEG/fMRI for a full-size human cortex in a realistic head model with anatomical connectivity, see figure 1. MFMs usually assume homogeneous neural masses, isotropic long-range connectivity and simplistic signal expression to allow rapid computation with partial differential equations. But these approximations are insufficient in particular for the high spatial resolution obtained with fMRI, since different cortical areas vary in their architectonic and dynamical properties, have complex connectivity, and can contribute non-trivially to the measured signal. Our code instead supports the local variation of model parameters and freely chosen connectivity for many thousand triangulation nodes spanning a cortical surface extracted from structural MRI. This allows the introduction of realistic anatomical and physiological parameters for cortical areas and their connectivity, including both intra- and inter-area connections. Proper cortical folding and conduction through a realistic head model is then added to obtain accurate signal expression for a comparison to experimental data. To showcase the synergy of these computational developments, we predict simultaneously EEG and fMRI BOLD responses by adding an established model for neurovascular coupling and convolving "Balloon-Windkessel" hemodynamics. We also incorporate regional connectivity extracted from the CoCoMac database [1]. Importantly, these extensions can be easily adapted according to future insights and data. Furthermore, while our own simulation is based on one specific MFM [2], the computational framework is general and can be applied to models favored by the user. Finally, we provide a brief outlook on improving the integration of multi-modal imaging data through iterative fits of a single underlying MFM in this realistic simulation framework.
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Most prominent models of bilingual representation assume a degree of interconnection or shared representation at the conceptual level. However, in the context of linguistic and cultural specificity of human concepts, and given recent findings that reveal a considerable amount of bidirectional conceptual transfer and conceptual change in bilinguals, a particular challenge that bilingual models face is to account for non-equivalence or partial equivalence of L1 and L2 specific concepts in bilingual conceptual store. The aim of the current paper is to provide a state-of-the-art review of the available empirical evidence from the fields of psycholinguistics, cognitive, experimental, and cross-cultural psychology, and discuss how these may inform and develop further traditional and more recent accounts of bilingual conceptual representation. Based on a synthesis of the available evidence against theoretical postulates of existing models, I argue that the most coherent account of bilingual conceptual representation combines three fundamental assumptions. The first one is the distributed, multi-modal nature of representation. The second one concerns cross-linguistic and cross-cultural variation of concepts. The third one makes assumptions about the development of concepts, and the emergent links between those concepts and their linguistic instantiations.
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The feedback mechanism used in a brain-computer interface (BCI) forms an integral part of the closed-loop learning process required for successful operation of a BCI. However, ultimate success of the BCI may be dependent upon the modality of the feedback used. This study explores the use of music tempo as a feedback mechanism in BCI and compares it to the more commonly used visual feedback mechanism. Three different feedback modalities are compared for a kinaesthetic motor imagery BCI: visual, auditory via music tempo, and a combined visual and auditory feedback modality. Visual feedback is provided via the position, on the y-axis, of a moving ball. In the music feedback condition, the tempo of a piece of continuously generated music is dynamically adjusted via a novel music-generation method. All the feedback mechanisms allowed users to learn to control the BCI. However, users were not able to maintain as stable control with the music tempo feedback condition as they could in the visual feedback and combined conditions. Additionally, the combined condition exhibited significantly less inter-user variability, suggesting that multi-modal feedback may lead to more robust results. Finally, common spatial patterns are used to identify participant-specific spatial filters for each of the feedback modalities. The mean optimal spatial filter obtained for the music feedback condition is observed to be more diffuse and weaker than the mean spatial filters obtained for the visual and combined feedback conditions.
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Characterization of neural and hemodynamic biomarkers of epileptic activity that can be measured using noninvasive techniques is fundamental to the accurate identification of the epileptogenic zone (EZ) in the clinical setting. Recently, oscillations at gamma-band frequencies and above (N30 Hz) have been suggested to provide valuable localizing information of the EZ and track cortical activation associated with epileptogenic processes. Although a tight coupling between gamma-band activity and hemodynamic-based signals has been consistently demonstrated in non-pathological conditions, very little is known about whether such a relationship is maintained in epilepsy and the laminar etiology of these signals. Confirmation of this relationship may elucidate the underpinnings of perfusion-based signals in epilepsy and the potential value of localizing the EZ using hemodynamic correlates of pathological rhythms. Here, we use concurrent multi-depth electrophysiology and 2- dimensional optical imaging spectroscopy to examine the coupling between multi-band neural activity and cerebral blood volume (CBV) during recurrent acute focal neocortical seizures in the urethane-anesthetized rat. We show a powerful correlation between gamma-band power (25–90 Hz) and CBV across cortical laminae, in particular layer 5, and a close association between gamma measures and multi-unit activity (MUA). Our findings provide insights into the laminar electrophysiological basis of perfusion-based imaging signals in the epileptic state and may have implications for further research using non-invasive multi-modal techniques to localize epileptogenic tissue
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Anti-spoofing is attracting growing interest in biometrics, considering the variety of fake materials and new means to attack biometric recognition systems. New unseen materials continuously challenge state-of-the-art spoofing detectors, suggesting for additional systematic approaches to target anti-spoofing. By incorporating liveness scores into the biometric fusion process, recognition accuracy can be enhanced, but traditional sum-rule based fusion algorithms are known to be highly sensitive to single spoofed instances. This paper investigates 1-median filtering as a spoofing-resistant generalised alternative to the sum-rule targeting the problem of partial multibiometric spoofing where m out of n biometric sources to be combined are attacked. Augmenting previous work, this paper investigates the dynamic detection and rejection of livenessrecognition pair outliers for spoofed samples in true multi-modal configuration with its inherent challenge of normalisation. As a further contribution, bootstrap aggregating (bagging) classifiers for fingerprint spoof-detection algorithm is presented. Experiments on the latest face video databases (Idiap Replay- Attack Database and CASIA Face Anti-Spoofing Database), and fingerprint spoofing database (Fingerprint Liveness Detection Competition 2013) illustrate the efficiency of proposed techniques.
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Methods of approaching the study of discourse have developed rapidly in the last ten years, influenced by a growing interdisciplinary spirit among linguistics and anthropology, sociology, cognitive and cultural psychology and cultural studies, as well as among established sub-fields within linguistics itself. Among the more recent developments are an increasing ‘critical’ turn in discourse analysis, a growing interest in historical, ethnographic and corpus-based approaches to discourse, more concern with the social contexts in which discourse occurs, the social actions that it is used to take and the identities that are constructed through it, as well as a revaluation of what counts as ‘discourse’ to include multi-modal texts and interaction. Advances in Discourse Studies brings together contributions from leading scholars in the field, investigating the historical and theoretical relationships between new advances in discourse studies and pointing towards new directions for the future of the discipline. Featuring discussion questions, classroom projects and recommended readings at the end of each section, as well as case studies illustrating each approach discussed, this is an invaluable resource for students of interdisciplinary discourse analysis.
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The FAL Bulletin is reverting to its original concept, that is, facilitation of trade in the broad sense. In the context of ECLAC, this is a topic covered by the International Trade Unit in the International Trade and Development Finance Division, to which the Transport Unit also belonged until it was incorporated into the Natural Resources and Infrastructure Division in April 1999.In an effort at inter-divisional cooperation starting with this issue, the International Trade Unit will be responsible for preparing four articles per year on trade facilitation for the FAL Bulletin. These are certain to be of great interest not only to those of our readers concerned with multi-modal ocean transport and customs procedures but also to those with links to the broader issue of promoting foreign trade in the region.
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Pós-graduação em Engenharia Mecânica - FEG
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This paper seeks to show which impacts there are of the combined use of different modal for the coffee’s outflow. Nowadays is used, almost exclusively, the roadway to transport. How-ever, for this product with low added value, the types of transports best suited, in the litera-ture, are the railway and waterway. For this, is describe the development and spread of coffee throughout Brazil. Subsequently, is calculate the current cost of transporting two producing regions (Minas Gerais and Rondônia), using for that information about the freight, the social cost, and the level of losses along the way. After that is projected costs if utilizes the multi-modal model, when considering the same cost parameters used for the current model. Here-after, an analysis is made of the obtained cost, speed, consistency, capacity, availability and frequency of each transport model. Therefore, note that the multi-modal system is more ef-ficient and economical than current, based on transport by road