882 resultados para STLT app


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La web vive un proceso de cambio constante, basado en una interacción mayor del usuario. A partir de la actual corriente de paradigmas y tecnologías asociadas a la web 2.0, han surgido una serie de estándares de gran utilidad, que cubre la necesidad de los desarrollos actuales de la red. Entre estos se incluyen los componentes web, etiquetas HTML definidas por el usuario que cubren una función concreta dentro de una página. Existe una necesidad de medir la calidad de dichos desarrollos, para discernir si el concepto de componente web supone un cambio revolucionario en el desarrollo de la web 2.0. Para ello, es necesario realizar una explotación de componentes web, considerada como la medición de calidad basada en métricas y definición de un modelo de interconexión de componentes. La plataforma PicBit surge como respuesta a estas cuestiones. Consiste en una plataforma social de construcción de perfiles basada en estos elementos. Desde la perspectiva del usuario final se trata de una herramienta para crear perfiles y comunidades sociales, mientras que desde una perspectiva académica, la plataforma consiste en un entorno de pruebas o sandbox de componentes web. Para ello, será necesario implementar el extremo servidor de dicha plataforma, enfocado a la labor de explotación, por medio de la definición de una interfaz REST de operaciones y un sistema para la recolección de eventos de usuario en la plataforma. Gracias a esta plataforma se podrán discernir qué parámetros influyen positivamente en la experiencia de uso de un componente, así como descubrir el futuro potencial de este tipo de desarrollos.---ABSTRACT---The web evolves into a more interactive platform. From the actual version of the web, named as web 2.0, many paradigms and standards have arisen. One of those standards is web components, a set of concepts to define new HTML tags that covers a specific function inside a web page. It is necessary to measure the quality of this kind of software development, and the aim behind this approach is to determine if this new set of concepts would survive in the actual web paradigm. To achieve this, it is described a model to analyse components, in the terms of quality measure and interconnection model description. PicBit consists of a social platform to use web components. From the point of view of the final user, this platform is a tool to create social profiles using components, whereas from the point of view of technicians, it consists of a sandbox of web components. Thanks to this platform, we will be able to discover those parameters that have a positive effect in the user experience and to discover the potential of this new set of standards into the web 2.0.

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We have identified a novel β amyloid precursor protein (βAPP) mutation (V715M-βAPP770) that cosegregates with early-onset Alzheimer’s disease (AD) in a pedigree. Unlike other familial AD-linked βAPP mutations reported to date, overexpression of V715M-βAPP in human HEK293 cells and murine neurons reduces total Aβ production and increases the recovery of the physiologically secreted product, APPα. V715M-βAPP significantly reduces Aβ40 secretion without affecting Aβ42 production in HEK293 cells. However, a marked increase in N-terminally truncated Aβ ending at position 42 (x-42Aβ) is observed, whereas its counterpart x-40Aβ is not affected. These results suggest that, in some cases, familial AD may be associated with a reduction in the overall production of Aβ but may be caused by increased production of truncated forms of Aβ ending at the 42 position.

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GPLSI Compendium App se trata de una aplicación móvil que hará las veces de un sistema de gestión y difusión de contenidos digitales, en la que el usuario podrá realizar resúmenes de textos de diferentes webs, tales como artículos o noticias, y posteriormente compartir esos resúmenes en sus redes sociales o a través del correo. Se le proporcionarán varios métodos de resumen, así como las descripciones y un pequeño tutorial de cómo utilizar la aplicación.

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Mode of access: Internet.

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Purpose To assess the validity and repeatability of the Aston Halometer. Setting University clinic, United Kingdom. Design Prospective, repeated-measures experimental study. Methods The halometer comprises a bright light-emitting-diode (LED) glare source in the center of an iPad4. Letters subtending 0.21° (∼0.3 logMAR) were moved centrifugally from the LED in 0.05 degree steps in 8 orientations separated by 45 degrees for each of 4 contrast levels (1000, 500, 100, and 25 Weber contrast units [Cw]) in random order. Bangerter occlusion foils were inserted in front of the right eye to simulate monocular glare conditions in 20 subjects (mean age 27.7 ± 3.1 years). Subjects were positioned 2 meters from the screen in a dark room with the iPad controlled from an iPhone via Bluetooth operated by the researcher. The C-Quant straylight meter was also used with each of the foils to measure the level of straylight over the retina. Halometry and straylight repeatability was assessed at a second visit. Results Halo size increased with the different occlusion foils and target contrasts (F = 29.564, P <.001) as expected and in a pattern similar to straylight measures (F = 80.655, P <0.001). Lower contrast letters showed better sensitivity but larger glare-obscured areas, resulting in ceiling effects caused by the screen's field-of-view, with 500 Cw being the best compromise. Intraobserver and interobserver repeatability of the Aston Halometer was good (500Cw: 0.84 to 0.93 and 0.53 to 0.73) and similar to the straylight meter. Conclusion The halometer provides a sensitive, repeatable way of quantifying a patient-recognized form of disability glare in multiple orientations to add objectivity to subjectively reported discomfort glare.

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Aim: To validate the accuracy and repeatability of a mobile app reading speed test compared with the traditional paper version. Method: Twenty-one subjects wearing their full refractive correction glasses read 14 sentences of decreasing print size between 1.0 and -0.1 logMAR, each consisting of 14 words (Radner reading speed test) at 40 cm with a paper-based chart and twice on iPad charts. Time duration was recorded with a stop watch for the paper chart and on the App itself for the mobile chart allowing critical print size (CPS) and optimal reading speed (ORS) to be derived objectively. Results: The ORS was higher for the mobile app charts (194±29 wpm; 195±25 wpm) compared with the paper chart (166±20 wpm; F=57.000, p<0.001). The CPS was lower for the mobile app charts (0.17±0.20 logMAR; 0.18±0.17 logMAR) compared with the paper chart (0.25±0.17 logMAR; F=5.406, p=0.009). The mobile app test had a mean difference repeatability of 0.30±22.5 wpm, r=0.917 for ORS, and a CPS of 0.0±0.2 logMAR, r=0.769. Conclusions: Repeatability of the app reading speed test is as good (ORS) or better (CPS) than previous studies on the paper test. While the results are not interchangeable with paper-based charts, mobile app tablet-based tests of reading speed are reliable and rapid to perform, with the potential to capture functional visual ability in research studies and clinical practice.