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In this study, we evaluate trait utility by using morphological data and functional models of fish feeding to predict kinematic patterns, then test these predictions by analyzing high-speed films of feeding behavior in limnetic and benthic fish to generate both kinematic and simulated performance data.
It organizes contests in which participants attempt to make seemingly impossible predictions by analyzing mountains of data.
In this study, a quantitative comparison is made between measurements and predictions by analyzing oxide formation around a surface groove in an FeCrAlY substrate.
We make those predictions by analyzing each new story (story type, complexity, feel).
The machines make predictions by analyzing vector magnetic field data from the sun, and then, based on which predictions turn out to be correct, the machine begins to "learn" what conditions actually do cause flares.
In case of KOW and ΔHF, we verified the reliability of predictions by analyzing the tested ILs relation with model's applicability domain AD (which is a theoretical space containing compounds for which the predictions are most plausible).
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An analytical study of a sweepback winghas been undertaken to estimate the flutter influence mode needed for accurate flutter prediction by analyzing generalized aerodynamic stiffness coefficient, unsteady aerodynamic force and flutter results.
We verified this prediction by analyzing the ImmPort list which contains 2,287 genes involved in immune response and covered in the HGDP-CEPH panel, this latter containing data for more than 660,000 single nucleotide polymorphisms genotyped in almost 950 individuals sampled throughout the world (Additional file 1, Table S1) [ 11].
The AKT data set was included to test some of the predictions obtained by analyzing the eIF4E data set.
In the following we describe the datasets and the methodology, with special attention to the predictive SV, by analyzing similar predictions that were made in the frame of the 8th generation of the IGRF (Langlais and Mandea, 2000; Mandea et al., 2000b).
The novelty of our predictions was verified by analyzing key properties, known pathway annotations, and already predicted interactions of signalogs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com