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The Experts below are selected from a list of 33454206 Experts worldwide ranked by ideXlab platform

Stanley S Young - One of the best experts on this subject based on the ideXlab platform.

  • powermv a software environment for molecular viewing descriptor generation data analysis and hit evaluation
    Journal of Chemical Information and Modeling, 2005
    Co-Authors: Kejun Liu, Jun Feng, Stanley S Young
    Abstract:

    Ideally, a team of biologists, medicinal chemists and information specialists will evaluate the hits from high throughput screening. In practice, it often falls to nonmedicinal chemists to make the initial evaluation of HTS hits. Chemical genetics and high content screening both rely on screening in cells or animals where the biological target may not be known. There is a need to place active compounds into a context to suggest potential biological mechanisms. Our idea is to build an operating environment to help the biologist make the initial evaluation of HTS data. To this end the operating environment provides viewing of compound structure files, computation of basic biologically relevant chemical properties and searching against biologically annotated chemical structure databases. The benefit is to help the nonmedicinal chemist, biologist and statistician put compounds into a potentially informative biological context. Although there are several similar public and private programs used in the pharmaceutical industry to help evaluate hits, these programs are often built for computational chemists. Our program is designed for use by biologists and statisticians.

  • powermv a software environment for molecular viewing descriptor generation data analysis and hit evaluation
    Journal of Chemical Information and Modeling, 2005
    Co-Authors: Jun Feng, Stanley S Young
    Abstract:

    Ideally, a team of biologists, medicinal chemists and information specialists will evaluate the hits from high throughput screening. In practice, it often falls to nonmedicinal chemists to make the initial evaluation of HTS hits. Chemical genetics and high content screening both rely on screening in cells or animals where the biological target may not be known. There is a need to place active compounds into a context to suggest potential biological mechanisms. Our idea is to build an operating environment to help the biologist make the initial evaluation of HTS data. To this end the operating environment provides viewing of compound structure files, computation of basic biologically relevant chemical properties and searching against biologically annotated chemical structure databases. The benefit is to help the nonmedicinal chemist, biologist and statistician put compounds into a potentially informative biological context. Although there are several similar public and private programs used in the pharmace...

Jun Feng - One of the best experts on this subject based on the ideXlab platform.

  • powermv a software environment for molecular viewing descriptor generation data analysis and hit evaluation
    Journal of Chemical Information and Modeling, 2005
    Co-Authors: Kejun Liu, Jun Feng, Stanley S Young
    Abstract:

    Ideally, a team of biologists, medicinal chemists and information specialists will evaluate the hits from high throughput screening. In practice, it often falls to nonmedicinal chemists to make the initial evaluation of HTS hits. Chemical genetics and high content screening both rely on screening in cells or animals where the biological target may not be known. There is a need to place active compounds into a context to suggest potential biological mechanisms. Our idea is to build an operating environment to help the biologist make the initial evaluation of HTS data. To this end the operating environment provides viewing of compound structure files, computation of basic biologically relevant chemical properties and searching against biologically annotated chemical structure databases. The benefit is to help the nonmedicinal chemist, biologist and statistician put compounds into a potentially informative biological context. Although there are several similar public and private programs used in the pharmaceutical industry to help evaluate hits, these programs are often built for computational chemists. Our program is designed for use by biologists and statisticians.

  • powermv a software environment for molecular viewing descriptor generation data analysis and hit evaluation
    Journal of Chemical Information and Modeling, 2005
    Co-Authors: Jun Feng, Stanley S Young
    Abstract:

    Ideally, a team of biologists, medicinal chemists and information specialists will evaluate the hits from high throughput screening. In practice, it often falls to nonmedicinal chemists to make the initial evaluation of HTS hits. Chemical genetics and high content screening both rely on screening in cells or animals where the biological target may not be known. There is a need to place active compounds into a context to suggest potential biological mechanisms. Our idea is to build an operating environment to help the biologist make the initial evaluation of HTS data. To this end the operating environment provides viewing of compound structure files, computation of basic biologically relevant chemical properties and searching against biologically annotated chemical structure databases. The benefit is to help the nonmedicinal chemist, biologist and statistician put compounds into a potentially informative biological context. Although there are several similar public and private programs used in the pharmace...

Wolfgang Klas - One of the best experts on this subject based on the ideXlab platform.

  • Z/sub Y/X-a multimedia document model for reuse and adaptation of multimedia content
    IEEE Transactions on Knowledge and Data Engineering, 2001
    Co-Authors: Susanne Boll, Wolfgang Klas
    Abstract:

    Advanced multimedia applications require adequate support for the modeling of multimedia content by multimedia document models. More and more this support calls for not only the adequate modeling of the temporal and spatial course of a multimedia presentation and its interactions, but also for the partial reuse of multimedia documents and adaptation to a given user context. However, our thorough investigation of existing standards for multimedia document models such as HTML, MHEG, SMIL, and HyTime leads to us the conclusion that these standard models do not provide sufficient modeling support for reuse and adaptation. Therefore, we propose a new approach for the modeling of adaptable and reusable multimedia content, the Z/sub Y/X model. The model offers primitives that provide-beyond the more or less common primitives for temporal, spatial, and interaction modeling-a variform support for reuse of structure and layout of document fragments and for the adaptation of the content and its presentation to the user context. We present the model in detail and illustrate the application and effectiveness of these concepts by samples taken from our Cardio-OP application in the domain of cardiac surgery. With the Z/sub Y/X model, we developed a comprehensive means for advanced multimedia content creation: support for template-driven authoring of multimedia content and support for flexible, dynamic composition of multimedia documents customized to the user's local context and needs. The approach significantly impacts and supports the authoring process in terms of methodology and economic aspects.

Kejun Liu - One of the best experts on this subject based on the ideXlab platform.

  • powermv a software environment for molecular viewing descriptor generation data analysis and hit evaluation
    Journal of Chemical Information and Modeling, 2005
    Co-Authors: Kejun Liu, Jun Feng, Stanley S Young
    Abstract:

    Ideally, a team of biologists, medicinal chemists and information specialists will evaluate the hits from high throughput screening. In practice, it often falls to nonmedicinal chemists to make the initial evaluation of HTS hits. Chemical genetics and high content screening both rely on screening in cells or animals where the biological target may not be known. There is a need to place active compounds into a context to suggest potential biological mechanisms. Our idea is to build an operating environment to help the biologist make the initial evaluation of HTS data. To this end the operating environment provides viewing of compound structure files, computation of basic biologically relevant chemical properties and searching against biologically annotated chemical structure databases. The benefit is to help the nonmedicinal chemist, biologist and statistician put compounds into a potentially informative biological context. Although there are several similar public and private programs used in the pharmaceutical industry to help evaluate hits, these programs are often built for computational chemists. Our program is designed for use by biologists and statisticians.

Fabian T Pfeffer - One of the best experts on this subject based on the ideXlab platform.

  • persistent inequality in educational attainment and its institutional context
    European Sociological Review, 2008
    Co-Authors: Fabian T Pfeffer
    Abstract:

    Research has repeatedly shown that educational opportunities are distributed unevenly in all countries. Therefore, the question is not whether family background and educational outcomes are related but to what degree they are related. This latter question then invites a comparative perspective. That is, does social inequality in education differ across time and countries? If yes, which institutional characteristics can explain differences in educational inequality? Educational inequality is conceptualized as the association between individuals’ and their parents’ highest educational level attained. Intergenerational educational mobility processes are analysed for 20 industrialized nations by means of log-linear and log-multiplicative models. The results show that the degree of educational mobility has remained stable across the second half of the 20th century in virtually all countries. However, nations differ widely in the extent to which parents’ education influences their children's educational attainment. The degree of educational inequality is associated with the institutional structure of national education systems. Rigid systems with dead-end educational pathways appear to be a hindrance to the equalization of educational opportunities, especially if the sorting of students occurs early in the educational career. This association is not mediated by other institutional characteristics included in this analysis that do not exert notable influences on educational mobility.

  • persistent inequality in educational attainment and its institutional context
    European Sociological Review, 2008
    Co-Authors: Fabian T Pfeffer
    Abstract:

    has repeatedly shown that educational opportunities are distributed unevenly in all countries. Therefore, the question is not whether family background and educational outcomes are related but to what degree they are related. This latter question then invites a comparative perspective. That is, does social inequality in education differ across time and countries? If yes, which institutional characteristics can explain differences in educational inequality? Educational inequality is conceptualized as the association between individuals' and their parents' highest educational level attained. Intergenerational educational mobility processes are analysed for 20 industrialized nations by means of log-linear and log-multiplicative models. The results show that the degree of educational mobility has remained stable across the second half of the 20th century in virtually all countries. However, nations differ widely in the extent to which parents' education influences their children's educational attainment. The degree of educational inequality is associated with the institutional structure of national education systems. Rigid systems with dead-end educational pathways appear to be a hindrance to the equalization of educational opportunities, especially if the sorting of students occurs early in the educational career. This association is not mediated by other institutional characteristics included in this analysis that do not exert notable influences on educational mobility.