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The sample size for the first stage is based on a specified RR of interest and a beta error rate.
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The design of the first stage is based on the S1/S2 stream surface theory, and a repeated stage design method is proposed for subsequent stage designs.
HPCluster is a two-stage algorithm: the first stage is based on BIRCH (Balanced Iterative Reducing and Clustering using Hierarchies), while the second stage is a conventional k-Means.
The optimization of cooling time in the first stage is based on the energy balance.
The first stage is based on the Balanced Iterative Reducing and Clustering using Hierarchies algorithm with the second stage being a conventional k-means clustering technique.
The first calculation stage was based on the ММ+ molecular mechanics method; The second stage was based on the semi-empirical РМ3 method.
To do the task above, the following numerical modelling scheme was used: (1) the first calculation stage was based on the MM+ molecular mechanics method; (2) the second stage was based on the semi-empirical PM3 method.
To do the task above, the following numerical modelling scheme was used [10, 11]: (1) The first calculation stage was based on the ММ+ molecular mechanics method; (2) The second stage was based on the semi-empirical РМ3 method.
In our case, PM3 method was parameterised to the best match of calculated and experimental molecule formation heats; (3) the third stage was based on the Monte-Carlo method. . the first calculation stage was based on the MM+ molecular mechanics method; the second stage was based on the semi-empirical PM3 method.
The purpose of the first stage is to locate the suspected MCs; this stage is based on mathematical morphology and border detection to segment the MCs.
Disease stage was based on the TNM-stage (International Union Against Cancer (UICC)).
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