925 resultados para database solution


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A new and original reagent based on the use of highly fluorescent cadmium telluride (CdTe) quantum dots (QDs) in aqueous solution is proposed to detect weak fingermarks in blood on non-porous surfaces. To assess the efficiency of this approach, comparisons were performed with one of the most efficient blood reagents on non-porous surfaces, Acid Yellow 7 (AY7). To this end, four non-porous surfaces were studied, i.e. glass, transparent polypropylene, black polyethylene, and aluminium foil. To evaluate the sensitivity of both reagents, sets of depleted fingermarks were prepared, using the same finger, initially soaked with blood, which was then successively applied on the same surface without recharging it with blood or latent secretions. The successive marks were then cut in halves and the halves treated separately with each reagent. The results showed that QDs were equally efficient to AY7 on glass, polyethylene and polypropylene surfaces, and were superior to AY7 on aluminium. The use of QDs in new, sensitive and highly efficient latent and blood mark detection techniques appears highly promising. Health and safety issues related to the use of cadmium are also discussed. It is suggested that applying QDs in aqueous solution (and not as a dry dusting powder) considerably lowers the toxicity risks.

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The Eukaryotic Promoter Database (EPD) is an annotated non-redundant collection of eukaryotic POL II promoters, experimentally defined by a transcription start site (TSS). There may be multiple promoter entries for a single gene. The underlying experimental evidence comes from journal articles and, starting from release 73, from 5' ESTs of full-length cDNA clones used for so-called in silico primer extension. Access to promoter sequences is provided by pointers to TSS positions in nucleotide sequence entries. The annotation part of an EPD entry includes a description of the type and source of the initiation site mapping data, links to other biological databases and bibliographic references. EPD is structured in a way that facilitates dynamic extraction of biologically meaningful promoter subsets for comparative sequence analysis. Web-based interfaces have been developed that enable the user to view EPD entries in different formats, to select and extract promoter sequences according to a variety of criteria and to navigate to related databases exploiting different cross-references. Tools for analysing sequence motifs around TSSs defined in EPD are provided by the signal search analysis server. EPD can be accessed at http://www.epd. isb-sib.ch.

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This report looks at the first year of data collection on childhood obesity and the difficulties of this project. This report summarises the data available and provides high level analysis of the prevalence of overweight and obesity among the children measured in 2005-06. The report was produced for the Department of Health by the South East Public Health Observatory on behalf of the Association of Public Health Observatories, and published in December 2006.

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A report for the Department of Health by the South East Public Health Observatory on behalf of the Association of Public Health Observatories. The report looks at the first year of data collection on childhood obesity and the difficulties of this project. This report summarises the data available and provides high level analysis of the prevalence of overweight and obesity among the children measured in 2005-06.

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Programari per a la gestió d'idees innovadores en el marc d'una empresa o col·lectiu. Ofereix unasolució senzilla que permet a qualsevol membre del col·lectiu aportar noves idees iparticipar activament en el procés de selecció d'idees. Per al desenvolupament de l'aplicació s'ha utilitzat la tecnologia .NET.

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Treball de disseny i implementació d'una solució de consulta de dades sobre un magatzem de dades corporatiu creat i nodrit a partir de diverses bases de dades ja existents en una empresa. El projecte s'ha desenvolupat amb el gestor de bases de dades Oracle 10g i amb l'eina de consulta Oracle Discoverer. Les bases de dades on es trobaven les dades originals es trobaven en MS Access, i en aquest entorn s'ha desenvolupat el procés de tractament de les dades.

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This bulletin summarises information on individuals referred to the Northern Ireland Substitute Prescribing Scheme (SPS). It relates to those referred up to and including the 31 March 2014 and focuses on those patients in contact with Substitute Prescribing treatment services during 2013/14.

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This bulletin summarises information on individuals referred to the Northern Ireland Substitute Prescribing Scheme (SPS). It relates to those referred up to and including the 31 March 2013 and focuses on those patients in contact with Substitute Prescribing treatment services during 2012/13.

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Treball final de carrera que consisteix en la construcció d'un magatzem de dades o Data Warehouse, per tal de donar solució a la obtenció d'una sèrie d'informes destinats a La Confederació Hidrogràfica Nord-est (CHNE) amb l'objectiu de poder analitzar i controlar l'estat dels embassaments dins el seu abast geogràfic.

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El presente trabajo tiene por objetivo ofrecer una solución para la creación de un índice espacial para la extensión JASPA (Java SPAtial) sobre la base de datos H2. El algoritmo de indexación elegido para la implementación del índice espacial ha sido el Rtree.La implementación se ha realizado con el lenguaje de programación Java lo que ha facilitado su integración con la extensión JASPA y la base de datos H2, dado que ambos proyectos están codificados en el mismo lenguaje. El índice es persistente en memoria secundaria en una tabla de la propia base de datos H2.La solución que se propone está limitada a operaciones espaciales en dos dimensiones y es lo suficientemente flexible como para que no se haya necesitado modificar ni el código fuente de JASPA, ni de H2. Además, se ha previsto que el algoritmo de indexación se pueda mejorar o sustituir fácilmente.Por último, se ha tenido en cuenta que el proceso de creación y manipulación de los índices espaciales sea intuitivo y fácil de usar.

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The multiscale finite volume (MsFV) method has been developed to efficiently solve large heterogeneous problems (elliptic or parabolic); it is usually employed for pressure equations and delivers conservative flux fields to be used in transport problems. The method essentially relies on the hypothesis that the (fine-scale) problem can be reasonably described by a set of local solutions coupled by a conservative global (coarse-scale) problem. In most cases, the boundary conditions assigned for the local problems are satisfactory and the approximate conservative fluxes provided by the method are accurate. In numerically challenging cases, however, a more accurate localization is required to obtain a good approximation of the fine-scale solution. In this paper we develop a procedure to iteratively improve the boundary conditions of the local problems. The algorithm relies on the data structure of the MsFV method and employs a Krylov-subspace projection method to obtain an unconditionally stable scheme and accelerate convergence. Two variants are considered: in the first, only the MsFV operator is used; in the second, the MsFV operator is combined in a two-step method with an operator derived from the problem solved to construct the conservative flux field. The resulting iterative MsFV algorithms allow arbitrary reduction of the solution error without compromising the construction of a conservative flux field, which is guaranteed at any iteration. Since it converges to the exact solution, the method can be regarded as a linear solver. In this context, the schemes proposed here can be viewed as preconditioned versions of the Generalized Minimal Residual method (GMRES), with a very peculiar characteristic that the residual on the coarse grid is zero at any iteration (thus conservative fluxes can be obtained).

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Teaching and research are organised differently between subject domains: attempts to construct typologies of higher education institutions, however, often do not include quantitative indicators concerning subject mix which would allow systematic comparisons of large numbers of higher education institutions among different countries, as the availability of data for such indicators is limited. In this paper, we present an exploratory approach for the construction of such indicators. The database constructed in the AQUAMETH project, which includes also data disaggregated at the disciplinary level, is explored with the aim of understanding patterns of subject mix. For six European countries, an exploratory and descriptive analysis of staff composition divided in four large domains (medical sciences, engineering and technology, natural sciences and social sciences and humanities) is performed, which leads to a classification distinguishing between specialist and generalist institutions. Among the latter, a further distinction is made based on the presence or absence of a medical department. Preliminary exploration of this classification and its comparison with other indicators show the influence of long term dynamics on the subject mix of individual higher education institutions, but also underline disciplinary differences, for example regarding student to staff ratios, as well as national patterns, for example regarding the number of PhD degrees per 100 undergraduate students. Despite its many limitations, this exploratory approach allows defining a classification of higher education institutions that accounts for a large share of differences between the analysed higher education institutions.

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Access to online repositories for genomic and associated "-omics" datasets is now an essential part of everyday research activity. It is important therefore that the Tuberculosis community is aware of the databases and tools available to them online, as well as for the database hosts to know what the needs of the research community are. One of the goals of the Tuberculosis Annotation Jamboree, held in Washington DC on March 7th-8th 2012, was therefore to provide an overview of the current status of three key Tuberculosis resources, TubercuList (tuberculist.epfl.ch), TB Database (www.tbdb.org), and Pathosystems Resource Integration Center (PATRIC, www.patricbrc.org). Here we summarize some key updates and upcoming features in TubercuList, and provide an overview of the PATRIC site and its online tools for pathogen RNA-Seq analysis.