312 resultados para Transact-SQL
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Edshare for INFO2009 coursework 2 - Team 'DROP TABLE groups;
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More on SQL
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El objetivo fue evaluar la intervención de las alertas en la prescripción de diclofenaco. Estudio observacional, comparativo, post intervención, de un antes después, en pacientes con prescripción de diclofenaco. Se evaluó la intervención de las alertas restrictivas antes y después de su implementación en los pacientes prescritos con diclofenaco y que tenían asociado un diagnóstico de riesgo cardiovascular según CIE 10 o eran mayores de 65 años. Un total de 315.135 transacciones con prescripción de diclofenaco, en 49.355 pacientes promedio mes. El 94,8% (298.674) de las transacciones fueron prescritas por médicos generales.
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Se ha creado un grupo interdisciplinar de profesores de la Universidad de Valladolid de los Departamentos de Física de la Materia Condensada, Didáctica de las Ciencias Experimentales, Ingeniería Energética e Informática con el fin de desarrollar una plataforma telemática como soporte a la docencia universitaria para las materias troncales que imparten sus respectivos departamentos. El objetivo de este proyecto ha sido la optimización y ampliación de dos proyectos anteriores elaborados por los Departamentos de Física de la Materia Condensada e Informática bajo Internet, para ello, se ha necesitado rediseñar la base de datos existente, con este fin se ha trabajado en el gestor de la base de datos y del servidor web para acceder a la información contenida en la base de datos. Se ha creado una unidad didáctica sobre energía solar para ser introducida en el servidor desarrollado. Con estos objetivos se ha diseñado un nuevo servidor cuya dirección es: http://cervantes.eis.uva.es. Una de las principales mejoras conseguidas ha sido el desarrollo de un nuevo gestor de la base de datos, esto se ha debido a la necesidad de poder manejar e introducir datos desde cualquier ordenador conectado a Internet, sin necesidad de tener que hacerlo desde el servidor del departamento como sucedía hasta el momento. Esa conexión al gestor de la base de datos se realiza de una manera segura mediante SSL (Security Socket Layer). También se ha introducido un tablón de anuncios en el que tanto los profesores como los alumnos puedan introducir sus propios mensajes y ser respondidos por cualquier persona que acceda al sistema de consultas de la base de datos a través de Internet. Además se ha ampliado y mejorado la gestión y la estructura de los exámenes que los alumnos pueden realizar a través de Internet, así como las posibilidades para su utilización como instrumento de autorregulación del aprendizaje por parte de los alumnos. Otra mejora importante ha sido la construcción de un Conversor de Unidades cuya gestión va incorporada en la base de datos. Las necesidades de instalación son: sistema operativo Windows 2000 server, Internet Information server 5.0 y SQL Server 7. El material dsarrollado se encuentra en la web.
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Resumen basado en el de la publicación
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Resumen basado en el de la publicación
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SEXTANTE es un marco para el desarrollo de algoritmos dedicados al procesamiento de información geográficamente referenciada, que actualmente cuenta con más de doscientos algoritmos que son capaces de operar sobre datos vectoriales, alfanuméricos y raster. Por otra parte, GearScape es un sistema de información geográfico orientado al geoprocesamiento, que dispone de un lenguaje declarativo que permite el desarrollo de geoprocesos sin necesidad de herramientas de desarrollo complejas. Dicho lenguaje está basado en el estándar SQL y extendido mediante la norma OGC para el acceso a fenómenos simples. Al ser un lenguaje mucho más simple que los lenguajes de programación imperativos (java, .net, python, etc.) la creación de geoprocesos es también más simple, más fácil de documentar, menos propensa a bugs y además la ejecución es optimizada de manera automática mediante el uso de índices y otras técnicas. La posibilidad de describir cadenas de operaciones complejas tiene también valor a modo de documentación: es posible escribir todos los pasos para la resolución de un determinado problema y poder recuperarlo tiempo después, reutilizarlo fácilmente, comunicárselo a otra persona, etc. En definitiva, el lenguaje de geoprocesamiento de GearScape permite "hablar" de geoprocesos. La integración de SEXTANTE en GearScape tiene un doble objetivo. Por una parte se pretende proporcionar la posibilidad de usar cualquiera de los algoritmos con la interfaz habitual de SEXTANTE. Por la otra, se pretende añadir al lenguaje de geoprocesamiento de GearScape la posibilidad de utilizar algoritmos de SEXTANTE. De esta manera, cualquier problema que se resuelva mediante la utilización de varios de estos algoritmes puede ser descrito con el lenguaje de geoprocesamiento de GearScape. A las ventajas del lenguaje de GearScape para la definición de geoprocesos, se añade el abanico de geoprocesos disponible en SEXTANTE, por lo que el lenguaje de geoprocesamiento de GearScape nos permite "hablar" utilizando vocabulario de SEXTANTE
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Una empresa destinada al sector de la informàtica vol crear un nou producte basat en PDA (Personal Digital Assistant), per tal d’oferir noves prestacions als clients actuals, així com poder ampliar la cartera de clients. El producte està destinat a clients de servei tècnic d’instal·lacions (gas, llum, aigua...), els quals tenen diferents tècnics que, basant-se en una ruta establerta, realitzen tasques de manteniment i reparació de les diferents instal·lacions dels clients. Utilitzant la tecnologia .NET amb l’entorn de desenvolupament Visual Studio 2005 i base de dades SQL Server 2005, s’ha creat una aplicació per a PDA que permeti la informatització de tots els processos de gestió de rutes per part dels tècnics
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La enseñanza y evaluación automática a través de un sistema Computer Based Assessment (CBA) requiere de software especializado que se adapte a la tipología de actividades a tratar y evaluar. En esta tesis se ha desarrollado un entorno CBA que facilita el aprendizaje y evaluación de los principales temas de una asignatura de bases de datos. Para ello se han analizado las herramientas existentes en cada uno de estos temas (Diagramas Entidad/Relación, diagramas de clases, esquemas de bases de datos relacionales, normalización, consultas en álgebra relacional y lenguaje SQL) y para cada uno de ellos se ha analizado, diseñado e implementado un módulo de corrección y evaluación automática que aporta mejoras respecto a los existentes. Estos módulos se han integrado en un mismo entorno al que hemos llamado ACME-DB.
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Mainframes, corporate and central servers are becoming information servers. The requirement for more powerful information servers is the best opportunity to exploit the potential of parallelism. ICL recognized the opportunity of the 'knowledge spectrum' namely to convert raw data into information and then into high grade knowledge. Parallel Processing and Data Management Its response to this and to the underlying search problems was to introduce the CAFS retrieval engine. The CAFS product demonstrates that it is possible to move functionality within an established architecture, introduce a different technology mix and exploit parallelism to achieve radically new levels of performance. CAFS also demonstrates the benefit of achieving this transparently behind existing interfaces. ICL is now working with Bull and Siemens to develop the information servers of the future by exploiting new technologies as available. The objective of the joint Esprit II European Declarative System project is to develop a smoothly scalable, highly parallel computer system, EDS. EDS will in the main be an SQL server and an information server. It will support the many data-intensive applications which the companies foresee; it will also support application-intensive and logic-intensive systems.
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This paper draws from a wider research programme in the UK undertaken for the Investment Property Forum examining liquidity in commercial property. One aspect of liquidity is the process by which transactions occur including both how properties are selected for sale and the time taken to transact. The paper analyses data from three organisations; a property company, a major financial institution and an asset management company, formally a major public sector pension fund. The data covers three market states and includes sales completed in 1995, 2000 and 2002 in the UK. The research interviewed key individuals within the three organisations to identify any common patterns of activity within the sale process and also identified the timing of 187 actual transactions from inception of the sale to completion. The research developed a taxonomy of the transaction process. Interviews with vendors indicated that decisions to sell were a product of a combination of portfolio, specific property and market based issues. Properties were generally not kept in a “readiness for sale” state. The average time from first decision to sell the actual property to completion had a mean time of 298 days and a median of 190 days. It is concluded that this study may underestimate the true length of the time to transact for two reasons. Firstly, the pre-marketing period is rarely recorded in transaction files. Secondly, and more fundamentally, studies of sold properties may contain selection bias. The research indicated that vendors tended to sell properties which it was perceived could be sold at a ‘fair’ price in a reasonable period of time.
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Purpose – Commercial real estate is a highly specific asset: heterogeneous, indivisible and with less information transparency than most other commonly held investment assets. These attributes encourage the use of intermediaries during asset acquisition and disposal. However, there are few attempts to explain the use of different brokerage models (with differing costs) in different markets. This study aims to address this gap. Design/methodology/approach – The study analyses 9,338 real estate transactions in London and New York City from 2001 to 2011. Data are provided by Real Capital Analytics and cover over $450 billion of investments in this period. Brokerage trends in the two cities are compared and probit regressions are used to test whether the decision to transact with broker representation varies with investor or asset characteristics. Findings – Results indicate greater use of brokerage in London, especially by purchasers. This persists when data are disaggregated by sector, time or investor type, pointing to the role of local market culture and institutions in shaping brokerage models and transaction costs. Within each city, the nature of the investors involved seems to be a more significant influence on broker use than the characteristics of the assets being traded. Originality/value – Brokerage costs are the single largest non-tax charge to an investor when trading commercial real estate, yet there is little research in this area. This study examines the role of brokers and provides empirical evidence on factors that influence the use and mode of brokerage in two major investment destinations.
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Trading commercial real estate involves a process of exchange that is costly and which occurs over an extended and uncertain period of time. This has consequences for the performance and risk of real estate investments. Most research on transaction times has occurred for residential rather than commercial real estate. We study the time taken to transact commercial real estate assets in the UK using a sample of 578 transactions over the period 2004 to 2013. We measure average time to transact from a buyer and seller perspective, distinguishing the search and due diligence phases of the process, and we conduct econometric analysis to explain variation in due diligence times between assets. The median time for purchase of real estate from introduction to completion was 104 days and the median time for sale from marketing to completion was 135 days. There is considerable variation around these times and results suggest that some of this variation is related to market state, type and quality of asset, and type of participants involved in the transaction. Our findings shed light on the drivers of liquidity at an individual asset level and can inform models that quantify the impact of uncertain time on market on real estate investment risk.
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Background: Health care literature supports the development of accessible interventions that integrate behavioral economics, wearable devices, principles of evidence-based behavior change, and community support. However, there are limited real-world examples of large scale, population-based, member-driven reward platforms. Subsequently, a paucity of outcome data exists and health economic effects remain largely theoretical. To complicate matters, an emerging area of research is defining the role of Superusers, the small percentage of unusually engaged digital health participants who may influence other members. Objective: The objective of this preliminary study is to analyze descriptive data from GOODcoins, a self-guided, free-to-consumer engagement and rewards platform incentivizing walking, running and cycling. Registered members accessed the GOODcoins platform through PCs, tablets or mobile devices, and had the opportunity to sync wearables to track activity. Following registration, members were encouraged to join gamified group challenges and compare their progress with that of others. As members met challenge targets, they were rewarded with GOODcoins, which could be redeemed for planet- or people-friendly products. Methods: Outcome data were obtained from the GOODcoins custom SQL database. The reporting period was December 1, 2014 to May 1, 2015. Descriptive self-report data were analyzed using MySQL and MS Excel. Results: The study period includes data from 1298 users who were connected to an exercise tracking device. Females consisted of 52.6% (n=683) of the study population, 33.7% (n=438) were between the ages of 20-29, and 24.8% (n=322) were between the ages of 30-39. 77.5% (n=1006) of connected and active members met daily-recommended physical activity guidelines of 30 minutes, with a total daily average activity of 107 minutes (95% CI 90, 124). Of all connected and active users, 96.1% (n=1248) listed walking as their primary activity. For members who exchanged GOODcoins, the mean balance was 4,000 (95% CI 3850, 4150) at time of redemption, and 50.4% (n=61) of exchanges were for fitness or outdoor products, while 4.1% (n=5) were for food-related items. Participants were most likely to complete challenges when rewards were between 201-300 GOODcoins. Conclusions: The purpose of this study is to form a baseline for future research. Overall, results indicate that challenges and incentives may be effective for connected and active members, and may play a role in achieving daily-recommended activity guidelines. Registrants were typically younger, walking was the primary activity, and rewards were mainly exchanged for fitness or outdoor products. Remaining to be determined is whether members were already physically active at time of registration and are representative of healthy adherers, or were previously inactive and were incentivized to change their behavior. As challenges are gamified, there is an opportunity to investigate the role of superusers and healthy adherers, impacts on behavioral norms, and how cooperative games and incentives can be leveraged across stratified populations. Study limitations and future research agendas are discussed.