1,354,107 research outputs found
The participation of the CSIC in the Spanish Web Archive
No full textEn directo.-- Colaboración para avanzar.-- Laura Donadeo Navalón. URICI-CSIC (Madrid).[ES] Se presenta la colaboración del CSIC, a través de REBIUN, en el proyecto del Archivo de la Web Española, gracias al cual se recolecta una selección de páginas y recursos digitales con el fin de preservar el patrimonio documental español en Internet y asegurar el acceso al mismo.[EN] The collaboration of CSIC, through REBIUN, in the Spanish Web Archive project is presented, through which a selection of pages and digital resources are collected in order to preserve the Spanish documentary heritage on the Internet and ensure access to it.Peer reviewe
And yet, it moves. A journey through the digitized collections of the CSIC Libraries and Archives Network
No full textLaura Donadeo Navalón, Alexandra López Pérez, Rebeca Sánchez-Montañez Martínez y Alejandra Domínguez Infantes. URICI, CSIC (Madrid).-- VI Jornadas de Análisis de la Red de Bibliotecas y Archivos del CSIC “Conocimiento y avance científico: el salto al futuro con Red” (Madrid, 6 y 7 de junio de 2024).El pasado día 6 de junio de 2024 se inauguró la exposición ‘Y sin embargo, se mueve. Un viaje por los fondos digitalizados de la Red de Bibliotecas y Archivos del CSIC’. Coincidiendo con las VI Jornadas de Análisis de la Red de Bibliotecas y Archivos del CSIC, se dio el pistoletazo de salida de esta muestra con reproducciones de los fondos patrimoniales más emblemáticos albergados en las bibliotecas y archivos del Consejo Superior de Investigaciones Científicas.Peer reviewe
Combining multiple depth-based descriptors for hand gesture recognition
No full textDepth data acquired by current low-cost real-time depth cameras provide a more informative description of the hand pose that can be exploited for gesture recognition purposes. Following this rationale, this paper introduces a novel hand gesture recognition scheme based on depth information. The hand is firstly extracted from the acquired data and divided into palm and finger regions. Then four different sets of feature descriptors are extracted, accounting for different clues like the distances of the fingertips from the hand center and from the palm plane, the curvature of the hand contour and the geometry of the palm region. Finally a multi-class SVM classifier is employed to recognize the performed gestures. Experimental results demonstrate the ability of the proposed scheme to achieve a very high accuracy on both standard datasets and on more complex ones acquired for experimental evaluation. The current implementation is also able to run in real-time
La organización territorial del Estado español a través de los documentos digitalizados en Simurg
No full textLa organización territorial del Estado es siempre piedra angular en cualquier sistema político. Conocer la manera en que los distintos territorios se organizan, reparten el poder, obtienen sus recursos, elaboran sus leyes y aplican sus políticas es fundamental para aproximarnos a sus dinámicas, identidades o conflictos, a las
claves de su naturaleza. Y en este contexto las fuentes primarias, como las disponibles en Simurg, Fondos digitalizados del CSIC, son herramientas de gran valor para introducirnos a la evolución de la organización territorial de nuestro entorno más cercano.Peer reviewe
Effectiveness and safety of intravenous valproate in agitation: a systematic review
No full textRationale: The use of intravenous valproate is not approved for clinical practice in psychiatry. Literature data pointed out for a potential usefulness of this route of administration for valproate, but there is no actual consensus. Objectives: The aim of the present systematic review is to assess the effectiveness of intravenous valproate in agitation as well as general safety. Methods: A systematic review of studies evaluating the use of intravenous valproate in agitation was conducted. Additionally, safety was evaluated in all randomized trials involving the use of intravenous valproate in all medical conditions (epilepsy, migraine and psychiatric conditions). Results: For the systematic review on effectiveness in agitation, the search yielded 965 articles overall. After removing duplicates, 9411 articles were screened by title and abstract, and 39 of these were evaluated at a full-text level. Six studies were considered eligible for qualitative synthesis: one RCT and case report (n = 3), followed by cohort studies (n = 2). For the systematic review on safety, twenty-two RCTs were considered eligible for quantitative synthesis. Conclusion: Intravenous valproate seems efficacious in reducing agitation in psychiatric patients; it generally appears safe compared to other neuroleptics or antiepileptics. However, the evidence is still not strong as it relies mainly on open-label studies or case series
Ensemble to Improve Gesture Recognition
No full textAutomatic hand gesture recognition plays a fundamental role in current research with the aim of empowering a natural communication between users and virtual reality systems. Starting from an existing work, based on the extraction of two different descriptors from the depth maps followed by their classification with a stand-alone multi SVM classifier, in this paper we improve the gesture recognition system performances and reliability and we evaluate different classification approaches.
To this purpose, we first compare the performance of different descriptors and analyze their correlation for assessing their complementarity, and then we demonstrate the advantage gained by their fusion by the Wilcoxon Signed-Rank test.
In particular, the novelties of this paper are a new method for extracting features from the curvature image and the design of a very effective ensemble of classifiers to solve the problem
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