970 resultados para Koninklijk Paleis (Amsterdam, Netherlands)


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Objetivo: Evaluar las propiedades psicométricas de los instrumentos para la medición de la actividad física en adultos de 18-65 años con discapacidad física por lesión de médula espinal. Materiales y métodos: Revisión sistemática. Las bases de datos de Medline, Scopus, Web of Science y 19 revistas especializadas fueron consultadas durante once días entre abril de 2015 y febrero de 2016 para identificar estudios originales de validación, sin límite de tiempo y que estuvieran publicados en español, francés y/o inglés. La calidad metodológica de los instrumentos de medición se evaluó usando las diferentes cajas de propiedades de la lista COSMIN. Resultados: Se identificaron 9229 referencias, de las cuales sólo 12 cumplieron los criterios de inclusión, dando como resultado 13 instrumentos de medición. Se evaluaron seis propiedades psicométricas. La propiedad más común fue la confiabilidad, además se observó que la calidad metodológica de los estudios incluidos no representa los resultados de las propiedades psicométricas de los instrumentos de medición. La calidad metodológica de los instrumentos para la evaluación de la actividad física en población con lesión medular espinal es “baja” para propiedades como consistencia interna, error de medición, sensibilidad, validez de criterio (con excepción del WISCI II que tiene buena validez) y excelente para validez de contenido y fiabilidad. Conclusión: Se ha encontrado que instrumentos empleados hasta el presente en la medición de la actividad física en población con discapacidad física relacionada con lesión de médula espinal han sido creados para otros tipos de discapacidad y otros instrumentos deben ser validados en futuros estudios.

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As a matter of fact, an Intensive Care Unit (ICU) stands for a hospital facility where patients require close observation and monitoring. Indeed, predicting Length-of-Stay (LoS) at ICUs is essential not only to provide them with improved Quality-of-Care, but also to help the hospital management to cope with hospital resources. Therefore, in this work one`s aim is to present an Artificial Intelligence based Decision Support System to assist on the prediction of LoS at ICUs, which will be centered on a formal framework based on a Logic Programming acquaintance for knowledge representation and reasoning, complemented with a Case Based approach to computing, and able to handle unknown, incomplete, or even contradictory data, information or knowledge.

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This layer is a georeferenced raster image of the historic paper map entitled: Kaarte van alle de dykpligtige en eenige waalpligtige landen behorende onder het Hoogreemraadschap van den Zeeburg en Diemerdyk, J. Wandelaar, delin. et sculpsit. It was published in 1749. Scale [ca. 1:6,000]. This layer is image 1 of 3 total images of the three sheet source map, representing the northern portion of the map. Covers the region east of Amsterdam, the Netherlands including portions of Gemeente Amsterdam, Gemeente Diemen, Gemeente Muiden, and Gemeente Weesp. Map in Dutch.The image inside the map neatline is georeferenced to the surface of the earth and fit to the RD_New (Rijksdriehoekstelsel), GCS Amersfoort coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, canals, cities and other human settlements, administrative boundaries, roads, propery boundaries with names of landowners, selected buildings and built-up areas, fortification, dikes, dams, windmills, shoreline features, and more. Relief shown by hachures. Depths shown by soundings.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

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This layer is a georeferenced raster image of the historic paper map entitled: Kaarte van alle de dykpligtige en eenige waalpligtige landen behorende onder het Hoogreemraadschap van den Zeeburg en Diemerdyk, J. Wandelaar, delin. et sculpsit. It was published in 1749. Scale [ca. 1:6,000]. This layer is image 2 of 3 total images of the three sheet source map, representing the central portion of the map. Covers the region east of Amsterdam, the Netherlands including portions of Gemeente Amsterdam, Gemeente Diemen, Gemeente Muiden, and Gemeente Weesp. Map in Dutch.The image inside the map neatline is georeferenced to the surface of the earth and fit to the RD_New (Rijksdriehoekstelsel), GCS Amersfoort coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, canals, cities and other human settlements, administrative boundaries, roads, propery boundaries with names of landowners, selected buildings and built-up areas, fortification, dikes, dams, windmills, shoreline features, and more. Relief shown by hachures. Depths shown by soundings.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.

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This layer is a georeferenced raster image of the historic paper map entitled: Kaarte van alle de dykpligtige en eenige waalpligtige landen behorende onder het Hoogreemraadschap van den Zeeburg en Diemerdyk, J. Wandelaar, delin. et sculpsit. It was published in 1749. Scale [ca. 1:6,000]. This layer is image 3 of 3 total images of the three sheet source map, representing the southern portion of the map. Covers the region east of Amsterdam, the Netherlands including portions of Gemeente Amsterdam, Gemeente Diemen, Gemeente Muiden, and Gemeente Weesp. Map in Dutch.The image inside the map neatline is georeferenced to the surface of the earth and fit to the RD_New (Rijksdriehoekstelsel), GCS Amersfoort coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, canals, cities and other human settlements, administrative boundaries, roads, propery boundaries with names of landowners, selected buildings and built-up areas, fortification, dikes, dams, windmills, shoreline features, and more. Relief shown by hachures. Depths shown by soundings.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.