Showing 4 open source projects for "web-based"

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  • 1
    SPINA

    SPINA

    Structure parameter inference approach for endocrine feedback control

    ...It delivers the secretory capacity of pancreatic beta cells (SPINA-GBeta), an estimate for the insulin receptor amplification (SPINA-GR) and a static disposition index as a measure for the loop gain of the feedback loop (SPINA-DI). Both implementations of SPINA have been validated in more than 50 clinical studies based on large cohorts.
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    Downloads: 10 This Week
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  • 2

    LMath library

    Math library for Free Pascal and Lazarus.

    LMath, based on DMath, is a mathematical library for FreePascal (FPC) and Lazarus. It is entirely written in Pascal and does not depend on external libraries. LMath provides routines and demo programs for numerical analysis, including mathematical functions, probabilities, matrices, optimization, linear and nonlinear equations, integration, Fast Fourier Transform, random numbers, curve fitting, statistics and graphics.
    Downloads: 11 This Week
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  • 3
    OpenSIMPLY

    OpenSIMPLY

    Discrete-event simulation modeling software for science and education

    OpenSIMPLY is an open source project for simulation modeling in Delphi, Lazarus, Free Pascal. Download OpenSIMPLY at opensimply.org The project is free computer simulation software based on discrete-event approach. OpenSIMPLY is a science software with very high simulation performance. So, the simulation results can be obtained much faster. The project is suitable for people with any modeling experience, and can be used for both science and education. Some application of this modeling software are: - traffic simulation - network simulation, - emergency and evacuation ways simulation and much more. ...
    Downloads: 0 This Week
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  • 4

    PhEq_bootstrap

    FDA's f2 computation with bootstrap technique

    This program was developed as a help in establishing pharmaceutical equivalence by use of FDA f2 coefficient. It was designed to help with f2 computation in cases when intra- and inter-batch variability is large, namely RSD>10%. The use of statistical bootstrap technique allows to implement confidence interval (CI) into the f2 coefficients resulting in overcoming of their major drawback in the original metrics. The algorithm provides possible “worst case scenario” of f2 values, thus...
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    Downloads: 43 This Week
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