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This research utilized generalized regression modelling of lab measurements (from 81 asphalt mixtures) to develop and verify prediction models for |E∗| and δ using only nominal asphalt mix properties that are readily available during the initial mixture design and specification process.
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For the development of the new model of lab report, the most requested laboratory tests was selected.
A retrospective design was used to evaluate clinical records for a predictive model of lab-confirmed influenza.
Through a 5-year development cycle, ELOGE was considerably expanded to integrate fine grain modelling of wet lab routine procedures such as plate management, PCR quality control annotations, sequencing results, analytic validation, and GLP (Good Laboratory Practices) compliant protocols.
A complete mathematical model of a lab-scaled 3D crane is simulated in Simulink.
Results of step-change experiments can be described by a mathematical model of the lab-scale setup, using steady-state kinetics determined in separate experiments.
The key feature of the model is that secondary dormancy varies with T I, but not with T M, and that primary dormancy varies with T M, but not with T I. DOI: http://dx.doi.org/10.7554/eLife.05557.007 10.7554/eLiFigure57.008 Figure 2 figure supplement 3. Fit of model to lab-generated data not used to train the model.
We used linear mixed-effect models to determine impacts of lab style on lower-order cognition (LO) and higher-order cognition (HO) based on Bloom's taxonomy.
The new Infiniti Lab follows the model of the debut Lab launched by the carmaker in Hong Kong in 2015, and is the first Lab in North America, as well as Canada's first carmaker-backed startup accelerator.
We used linear mixed-effect models to determine the effect of lab style (expository vs. learning cycle) on the response variables of LO and HO questions on the lab reports, the plant diversity quiz in lab (quiz), and the plant diversity multiple-choice exam in lecture (exam and CLASS scores).
QSAR Model Reporting Format (QRMF) and QSAR Prediction Reporting Format (QPRF) have been developed at the Computational Toxicology and Modelling lab of the JRC's Institute to standardise annotation of model meta-information.
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CEO of Professional Science Editing for Scientists @ prosciediting.com